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Preprint ARTICLE | doi:10.20944/preprints202407.0512.v1

Evidence On Viral Suppression Supports Scaling-Up Transition To Dolutegravir-Based Regimens In Pediatric Populations In Cameroon: A Multicentre Baseline Assessment For The Cipher-Adola Study

Joseph FOKAM, Yagai Bouba, Rogers Awoh Ajeh, Dominik Tameza Guebiapsi, Suzane Essamba, Albert Franck Zeh Meka, Ebiama Lifanda, Rose Armelle Ada, Yakouba Liman, Nancy Barbara Mbengono, Audrey Raissa Dzaddi Djomo, Suzie Ndiang Tetang, Samuel Martin Sosso, Jocelyne Carmen Babodo, Olivia Francette Ndomo Ambomo, Edith Michele Temgoua, Caroline Medouane, Sabine Ndejo Atsinkou, Justin Leonel Mvogo, Roger Martin Onana, Jean de Dieu Anoubissi, Alice Ketchaji, Alex Durand Nka, Davy-Hyacinthe Anguechia Gouissi, Aude Christelle Ka’e, Nadine Nguendjoung Fainguem, Rachel Simo Kamgaing, Désiré Augustin Komego Takou, Michel Carlos Tommo Tchouaket, Ezechiel Ngoufack Jagni Semengue, Marie Atsama Amougou, Julius Nwobegahay, Comfort Vuchas, Anna Nya Nsimen, Bertrand Bille Eyoum, Sandra kenmegne Gatchuessi, Francis Ndongo Ateba, Daniel Kesseng, Serge Clotaire Billong, Daniele Armenia, Maria Mercedes Santoro, Francesca Ceccherini-Silberstein, Paul Ndombo Koki, Hadja Cherif Hamsatou, Vittorio Colizzi, Alexis Ndjolo, Carlo Federico Perno, Anne-Cécile Zoung-Kanyi Bissek

Subject: Medicine And Pharmacology, Medicine And Pharmacology Keywords: Virological suppression; low level viremia; children, adolescents, and young-adults; DTG-based regimen; elimination of paediatric AIDS; Cameroon.

Online: 5 July 2024 (12:31:56 CEST)

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Preprint REVIEW | doi:10.20944/preprints202407.1742.v1

Exploring the Potential Influence of Human Gut Microbiota on Gut Resistome: A Systematic Review

Justine Fri, Mulalo Raphalalani, Lufuno Grace Mavhandu-Ramarumo, Pascal Obong Bessong

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: Gut microbiota; Gut resistome; Antibiotic resistance genes; Escherichia coli

Online: 23 July 2024 (07:25:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1597.v1

LogEDL: Log Anomaly Detection via Evidential Deep Learning

Yunfeng Duan, Kaiwen Xue, Hao Sun, Haotong Bao, Yadong Wei, Zhangzheng You, Yuantian Zhang, Xiwei Jiang, Sangning Yang, Jiaxing Chen, Boya Duan, Zhonghong Ou

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: log anomaly detection; evidential deep learning; uncertainty

Online: 24 June 2024 (08:16:17 CEST)

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Preprint REVIEW | doi:10.20944/preprints202409.0517.v1

Hypoxia Pathways in Parkinson’s Disease: From Pathogenesis to Therapeutic Targets

Yuanyuan Gao, Jiarui Zhang, Tuoxian Tang, Zhenjiang Liu

Subject: Biology And Life Sciences, Neuroscience And Neurology Keywords: Parkinson’ s disease; hypoxia; hypoxia pathways; neurodegenerative diseases; transmembrane protein 175; DJ-1; LRRK2

Online: 6 September 2024 (13:00:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0522.v1

YOLO-ABD: A Multi-Scale Detection Model for Pedestrian Anomaly Behavior Detection

Caijian Hua, Kun Luo, Yadong Wu, Rui Shi

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Pedestrian Anomaly Detection; Small Object Detection; Lightweight Surveillance Systems; SimAM Attention Mechanism

Online: 5 July 2024 (12:01:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0529.v2

Back to the Metrics: Exploration of Distance Metrics in Anomaly Detection

Yujing Lin, Xiaoqiang Li

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: image anomaly detection; defect detection; industrial manufacturing; distance metrics; anomaly score distribution

Online: 22 July 2024 (10:00:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1574.v1

Application of Anomaly Detection to Identifying Aggressive Pig Behaviors Using Reconstruction Loss Inversion

Hyunsoo Kim, Yu Sung Edward Kim, Fania Ardelia Devira, Mun Yong Yi

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Aggression detection; Unbalanced dataset; Autoencoder; Computer vision; Deep learning

Online: 22 August 2024 (12:18:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2462.v1

A Multi-Scale Mask Convolution based Blind Spot Network for Hyperspectral Anomaly Detection

Zhiwei Yang, Rui Zhao, Xiangchao Meng, Gang Yang, Weiwei Sun, Shenfu Zhang, Jinghui Li

Subject: Computer Science And Mathematics, Geometry And Topology Keywords: hyperspectral anomaly detection; multi-scale anomaly targets; blind spot network; multi-scale mask convolution

Online: 30 July 2024 (11:39:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201611.0029.v1

Categorical Forecast of Precipitation Anomaly Using the Standardized Precipitation Index SPI

Leszek Łabędzki

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: precipitation deficit; precipitation surplus; standardized precipitation index SPI; forecast; verification

Online: 4 November 2016 (13:39:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints202408.1883.v1

A Non-Surgical Wearable Option for a Bone Conduction Implantable Device: A Comparative Study with Conventional Bone Conduction Hearing Aids

Federica Di Berardino, Giovanni Ciavarro, Giulia Fumagalli, Claudia Albanese, Enrico Pasanisi, Diego Zanetti, Vincenzo Vincenti

Subject: Medicine And Pharmacology, Otolaryngology Keywords: Bone Conduction Implantable Device; Bone Conduction Hearing Aids

Online: 27 August 2024 (03:16:55 CEST)

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Objectives. To compare the audiological benefits of a non-implantable wearing option of a bone conduction (BC) implant mounted on an arch (SoundArc) to traditional BC hearing aids (HA) mounted on eyeglasses (BCHA) in patients with moderate to severe conductive or mixed hearing loss. Methods: A preliminary cross-sectional observational prospective cohort study was conducted at a Tertiary Audiological Department, University Hospital. Fourteen adults with conductive or mixed hearing loss (PTA at 0.5-1-2-4 KHz = 67 ± 15 dB HL) had been wearing conventional BCHA on eyeglasses for at least 3 years, and refused the surgical implantation of a BC hearing implant (BCHI). Unaided and aided pure-tone AC and BC thresholds and speech test in quiet and in noise were recorded at baseline and in two different settings: with a BCHI mounted on SoundArc®, and with their own BCHA with two couplers, mounted on eyeglasses. International Inventory for Hearing Aids [IOI – HA], the Hearing Handicap Inventory [HHIA/E], Speech, Spatial, Qualities of Hearing Scale [SSQ], a 10-scores visuo-analogic scale [VAS], and Fatigue impact scale [FIS] score were asked in both conditions. Results: a statistical significative functional gain was observed for both settings. (p=.0001) Better speech perception performances in quiet and in noise were observed with SoundArc compared to their conventional BCHA on eyeglasses (word repetition score in noise improvement of +19.3 at SNR +10 dB, p=.002; + 12.1 at SNR 0 dB, p=.006; and +11.4 at SNR -10 dB, p=.002) No significant differences were found in IOI–HA, FIS, and HHIA/E scores, while significative better SSQ scores in all domains were reported for SoundArc. (p=.0038) Conclusions: Although patients were accustomed to their BCHA on eyeglasses, the non-implanted wearable option of the BCHI proved to be a viable alternative in adult patients with conductive or mixed hearing loss unable to receive or refusing BCHI surgery.

Preprint ARTICLE | doi:10.20944/preprints202201.0322.v1

Navigation Data Anomaly Analysis and Detection

Ahmed Amro, Aybars Oruc, Vasileios Gkioulos, Sokratis Katsikas

Subject: Computer Science And Mathematics, Information Systems Keywords: NMEA; cybersecurity; anomaly analysis and detection; maritime

Online: 21 January 2022 (12:53:43 CET)

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Preprint REVIEW | doi:10.20944/preprints202306.0559.v1

Cartilage Conduction Hearing Aids in Clinical Practice

Tadashi Nishimura, Hiroshi Hosoi, Ryota Shimokura, Tadashi Kitahara

Subject: Medicine And Pharmacology, Otolaryngology Keywords: Bone conduction; Cartilage conduction; Hearing device; Amplification; Aural atresia; Canal stenosis; Conductive hearing loss; Chronic otitis media

Online: 7 June 2023 (13:22:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0440.v1

HIV/AIDS Mathematical Model of Triangle Transmission

Cristian Camilo Espitia Morillo, João Frederico da Costa Azevedo Meyer

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: HIV/AIDS Mathematical Model; Basic Reproduction Number; Stationary Points; Local and Global Stability Analysis.

Online: 28 October 2022 (07:05:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1053.v1

Comprehensive Knowledge of HIV/AIDS in Angola and Related Factors

Neida Neto Vicente Ramos, Inês Santos Estevinho Fronteira, Maria do Rosário O. Martins

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Angola; HIV; comprehensive knowledge; Health literacy; Sexuality

Online: 17 July 2023 (05:23:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0530.v1

IoT Traffic Classification and Anomaly Detection Method based on Deep Autoencoders

Qi Xin, Zeqiu Xu, Linfeng Guo, Fanyi Zhao, Binbin Wu

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: ; IoT; convolutional neural network, CNN; variational autoencoder, VAE; anomaly detection ;

Online: 8 July 2024 (02:56:47 CEST)

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Preprint REVIEW | doi:10.20944/preprints202403.0392.v1

Noncoding RNA Regions: Unveiling Novel Insights into AIDS Pathogenesis

Mohammad Ahmad Ahmad Odah

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Noncoding RNA; HIV; AIDS; microRNA; Long noncoding RNA (lncRNA); Circular RNA (circRNA); HIV pathogenesis

Online: 8 March 2024 (01:54:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints202307.0232.v1

Management of Cartilage-Conduction Hearing Aids in Pediatric Patients

Satomi Yakawa, Tomoko Sugiuchi, Rika Myojin, Takako Murakami, Kiyoko Sato, Yuki Miyoshi, Yuichiro Sugio

Subject: Medicine And Pharmacology, Otolaryngology Keywords: Atresia; Cartilage conduction hearing aids; Conductive hearing loss; Infant

Online: 4 July 2023 (12:36:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1822.v1

A Situation Analysis of the Capacity of Laboratories in Zambia to Conduct Surveillance of Antimicrobial Resistance: Strengths, Weaknesses, Opportunities, and Challenges

Doreen Mainza Shempela, Steward Mudenda, Maisa Kasanga, Victor Daka, Mundia Hendrix Kangongwe, Mapeesho Kamayani, Jay Sikalima, Baron Yankonde, Cynthia Banda Kasonde, Ruth Nakazwe, Andrew Mwandila, Fatim Cham, Michael Njuguna, Bertha Simwaka, Linden Morrison, Joseph Yamweka Chizimu, John Bwalya Muma, Roma Chilengi, Karen Sichinga

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: antimicrobial resistance; bacteriology; laboratory capacity; surveillance; Zambia

Online: 28 May 2024 (09:59:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0255.v1

Vertical Transmission and Treatment of HIV/AIDS Epidemic with Saturation Dynamics Modeling

Zolar Francesco

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Disease, Modelling, Mathematical Solution

Online: 5 March 2024 (13:53:22 CET)

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Preprint ARTICLE | doi:10.20944/preprints202004.0493.v1

Evaluation of HIV and AIDS Workplace Policy at Nkhotakota District Council, Malawi

Patrick Mbulaje, Adamson Muula

Subject: Social Sciences, Political Science Keywords: HIV; HIV at workplace; District Implementation Plan; HIV and AIDS; Stakeholders; Funding

Online: 28 April 2020 (09:51:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0315.v2

Biocompatibility of 3D Printed Methacrylate for Hearing Aids and Inner Ear Devices

Frank Alifui-Segbaya, Roy George

Subject: Chemistry And Materials Science, Polymers And Plastics Keywords: 3D printing; biocompatibility; hearing aids; methacrylates; zebrafish embryo model.

Online: 24 July 2018 (12:09:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0238.v1

Checking the ⁸Be Anomaly with a Two-Arm Electron Positron Pair Spectrometer

Tran The Anh, Tran Dinh Trong, Attila J. Krasznahorkay, Attila Krasznahorkay, József Molnár, Zoltán Pintye, Nguyen Ai Viet, Nguyen The Nghia, Do Thi Khanh Linh, Bui Thi Hoa, Le Xuan Chung, Nguyen Tuan Anh

Subject: Physical Sciences, Nuclear And High Energy Physics Keywords: X17; Internal Pair Creation; standard model

Online: 5 March 2024 (06:09:21 CET)

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Preprint ARTICLE | doi:10.20944/preprints202406.0840.v1

Evaluating the Health-Related Quality of Life of Transgender Living with HIV/AIDS in Lahore, Pakistan

Tahneem Yaseen, Syed Muhammad Ali, Mustansar Mehmood, Laiba Khalil, Laraib Ghouri, Malik Hammad Shaukat, Shahid Rasool

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: HIV/AIDS; HRQoL; Transgender; EQ-5D; VAS; Khuwaja Sara

Online: 13 June 2024 (10:46:19 CEST)

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Preprint BRIEF REPORT | doi:10.20944/preprints202207.0407.v1

Anomaly Detection over Time Series Data

Zhenyi Zhu

Subject: Computer Science And Mathematics, Computer Science Keywords: Anomaly Detection; Time Series; EWMA

Online: 26 July 2022 (10:50:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0570.v1

Self-Attention Autoencoder for Anomaly Segmentation

Yang Yang

Subject: Computer Science And Mathematics, Computer Science Keywords: anomaly detection; anomaly segmentation; self-attention; transformers; autoencoders

Online: 31 August 2021 (11:47:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202102.0272.v1

Attitudes of Teachers in Training Towards People With HIV/AIDS.

Aranzazú Cejudo-Cortés, Encarnación Pedrero-García, Pilar Moreno-Crespo, Olga Moreno-Fernández

Subject: Business, Economics And Management, Accounting And Taxation Keywords: HIV; AIDS; vulnerable group; young people; trainee teachers; health education

Online: 11 February 2021 (09:39:21 CET)

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Preprint ARTICLE | doi:10.20944/preprints202408.1005.v1

Perceived Inclusivity in Mobility Aids Use: A Qualitative Study in Iran

Mohsen Rasoulivalajoozi, Carmela Cucuzzella, Morteza Farhoudi

Subject: Public Health And Healthcare, Physical Therapy, Sports Therapy And Rehabilitation Keywords: Mobility aids; Social inclusion; Physiotherapy; Inclusive design; User experiences

Online: 14 August 2024 (08:20:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202311.2010.v1

Aids In Spanish Penitentiary Institutions through the Nurse's Point of View

Enrique J. Vera-Remartnez, Jose Antonio Zafra Agea, Julio Garcia-Guerrero, Maria Pilar Molés-Julio

Subject: Public Health And Healthcare, Other Keywords: Síndrome de inmunodeficiencia adquirida; enfermería; prisiones; España.

Online: 1 December 2023 (10:14:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints202306.1974.v1

A Driving Anomaly Detection Model Using BSMs

Di Wu, Shuang Z. Tu, Robert W. Whalin, Li Zhang

Subject: Engineering, Transportation Science And Technology Keywords: driving status; anomaly; outlier detection; BSM; crash; CV; cloud

Online: 28 June 2023 (10:05:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1372.v1

Prediction Model for the Effects of Tourism on the Spread of HIV and AIDS

Ofosuhene O. Apenteng, Philip Rasmussen, Beate Conrady

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: Tourism; HIV; AIDS; Malaysia, mathematical model; reproduction number; sensitivity analysis

Online: 21 August 2023 (02:30:00 CEST)

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Working Paper REVIEW

Stressor And Coping Strategies Of People Living With Hiv/aids (PlWHA): A Literature Review

Ahmad Ikhlasul Amal, Moses Glorino Rumambo Pandin

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Stressor; Coping Strategies; HIV/AIDS

Online: 16 April 2021 (09:59:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1959.v1

RI2AP: Robust and Interpretable 2D Anomaly Prediction in Assembly Pipelines

Chathurangi Shyalika, Kaushik Roy, Renjith Prasad, Fadi El Kalach, Yuxin Zi, Priya Mittal, Vignesh Narayanan, Ramy Harik, Amit Sheth

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Anomaly prediction; Smart manufacturing; Assembly processes; Sensor data; Time series analysis

Online: 30 April 2024 (04:56:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1753.v1

Risk and Prognostic Factors for Glaucoma Associated with Peters Anomaly

Chika Yokota, Kazuyuki Hirooka, Naoki Okada, Yoshiaki Kiuchi

Subject: Medicine And Pharmacology, Ophthalmology Keywords: Peters anomaly; glaucoma; anterior segment dysgenesis; corneal staphyloma

Online: 24 August 2023 (14:33:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201805.0203.v2

Dark Matters, Gravational Force, Neutron Life-Time Anomaly and Hadronization

Jae-Kwang Hwang

Subject: Physical Sciences, Particle And Field Physics Keywords: fermionic dark matters; neutron life-time anomaly; massive graviton; hadronization; dark energy; galaxy structure; three-dimensional quantized space model

Online: 25 June 2018 (09:14:16 CEST)

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The properties of the dark matter, dark energy, graviton and photon are discussed in terms of the new three-dimensional quantized space model. Three new particles (bastons) with the electric charges (EC) are proposed as the dark matters. It is proposed that the EC, LC and CC charges are aligned along the time axes but not along the space axes. The photon is confined on its corresponding three-dimensional quantized space. However, the graviton can be evaporated into other three-dimensional quantized spaces. The rest mass of the electron neutrino (n_e) of 3.494·10⁻³ eV/c² is obtained from the experimental vacuum energy density in terms of quantum field theory (QFT). The rest mass and force range of the massive g(0,0,0) graviton with the Planck size are m_g = 3.1872·10⁻³¹ eV/c² and x_r = 3.0955·10²³ m = 10.0 Mpc, respectively, based on the experimental rest mass and rms charge radius of the proton. The possible diameter (10 Mpc) of the largest galaxy cluster is remarkably consistent with the gravitational force range (10 Mpc). Then, the diameter of the largest dark matter distribution related to the largest galaxy cluster is 9.2865·10²³ m = 30 Mpc equal to the force range of the massive g(0) graviton with the rest mass of 1.0624·10⁻³¹ eV/c². Because of the huge number (N) of the evaporated gravitons, the very small Coulomb’s constant of about 10⁻⁴⁸k and large gravitation constant of 10⁶G_N are expected for the charged dark matters. Therefore, F_c(mm) > F_g(dd) > F_g(mm) > F_g(dm) > F_c(dd) > F_c(dm) = 0 for the proton-like particle. The proposed weak gravitational force between the dark matters and normal matters explains the observed dark matter distributions of the bullet cluster, Abell 1689 cluster and Abell 520 cluster. The transition from the galaxy without the dark matters to the galaxy with the dark matters are explained. Also, the accelerated space expansion is caused by the new space quanta created by the evaporated gravitons into the x1x2x3 space and repulsive electromagnetic force between dark matters corresponding to the dark energy. The decreasing coupling constant of the strong force, neutron lifetime anomaly and the pressure distribution inside the proton are explained by the unobservable proton and hadronization. And the rest mass of 1.4 TeV/c² is assigned to the Le particle with the EC charge of −2e. The proposed rest mass (26.12 eV/c²) of the B1 dark matter is indirectly confirmed from the supernova 1987A data. Also, the gravitation constant has been changing with the time because of the graviton evaporation.

Preprint ARTICLE | doi:10.20944/preprints202407.0595.v1

Application of Deep Learning-Based Intrusion Detection System (IDS) in Network Anomaly Traffic Detection

Fanyi Zhao, Hanzhe Li, Kaiyi Niu, Jiatu Shi, Runze Song

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Deep learning; Intrusion detection System (IDS); CNN-Focal Model; Abnormal network traffic

Online: 8 July 2024 (09:07:22 CEST)

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Preprint BRIEF REPORT | doi:10.20944/preprints202007.0541.v1

The use of Multi-compartment Compliance Aids (MCAs) in Pharmacies in England and North Wales

Ana Pedro

Subject: Medicine And Pharmacology, Pharmacology And Toxicology Keywords: MCAs; clinical pharmacy

Online: 23 July 2020 (08:24:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1764.v1

Risk Analysis and Visualization of Merchant and Fishing Vessels Collision In Coastal Waters

Chuanguang Zhu, Jinyu Lei, Zhiyuan Wang, Decai Zheng, Chengqiang Yu, Mingzhong Chen, Wei He

Subject: Engineering, Transportation Science And Technology Keywords: Merchant and Fishing vessels collision; Coastal waters; Ship domain AIS; Data visualization

Online: 29 February 2024 (16:59:56 CET)

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Preprint REVIEW | doi:10.20944/preprints202401.0159.v1

Leveraging AI/ML for anomaly detection, threat prediction, and automated response.

Olakunle Abayomi Ajala

Subject: Computer Science And Mathematics, Security Systems Keywords: Information and communication technologies; Communication; networking Knowledge exchange; social interaction; Digital landscape; Information security; Cybercrime; Cybersecurity strategies; ; Artific

Online: 3 January 2024 (10:36:17 CET)

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Preprint REVIEW | doi:10.20944/preprints202308.2016.v1

Anomaly Detection in Power System State Estimation: Review and New Directions

Austin Cooper, Arturo Bretas, Sean Meyn

Subject: Engineering, Electrical And Electronic Engineering Keywords: Anomaly Detection; Cyber-Security; False Data Injection; Hypothesis Testing; Machine Learning; Power System Monitoring; Quickest Change Detection; State Estimation

Online: 30 August 2023 (07:23:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1617.v3

ADL: Anomaly Detection and Localization in Crowded Scenes Using Hybrid Methods

Hequn Wu, Bai Rui, Liu Li

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Anomaly detection; YOLACT; Foreground; PWC-Net; Tracking

Online: 29 May 2023 (07:08:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.0033.v1

Spectral-Spatial Feature Fusion for Hyperspectral Anomaly Detection

Shaocong Liu, Zhen Li, Guangyuan Wang, Xianfei Qiu, Tinghao Liu, Jing Cao, Donghui Zhang

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Hyperspectral image; isolation forest; local saliency detection; anomaly detection; spectralspatial fusion

Online: 3 January 2024 (08:11:55 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.2218.v1

Detecting IoT Anomaly using Fuzzy Subspace Clustering Algorithm

Fokrul Alom Alom Mazarbhuiya, Mohamed A Shenify, A S Wungreiphi

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Anomaly detection; Information system; High-dimensional data; Dominance relation; Fuzzy Clustering method, CORE of attribute set; Mahalanobis distance.

Online: 28 December 2023 (18:50:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.0545.v1

SigML++: Supervised Log Anomaly with Probabilistic Polynomial Approximations

Devharsh Trivedi, Aymen Boudguiga, Nesrine Kaaniche, Nikos Triandopoulos

Subject: Computer Science And Mathematics, Computer Science Keywords: sigmoid function approximation; private machine learning; fully homomorphic encryption; log anomaly detection; supervised machine learning; probabilistic polynomial approximation

Online: 8 September 2023 (04:34:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202012.0092.v1

Machine Learning-based Anomaly Detection with Magnetic Data

Peetak Mitra, Denis Akhiyarov, Mauricio Araya-Polo, Daniel Byrd

Subject: Engineering, Mechanical Engineering Keywords: anomaly detection; machine Learning; large stand off magnetometry; multimodal data; RAPIDS-AI

Online: 4 December 2020 (07:13:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.1175.v1

Salivary And Urine Metabomic Profile Of Patients Living With Hiv/aids, And Its Association With Periodontal Disease

Viviane Balero Cosse De Sousa, Wagner Santos e Santos, Matheus Rigo Ribeiro, Gabriel Casemiro Quicoli, Juliana Silva, Guilherme Pires Cardoso, Caio Paulino Laporta, Maria Anita Mendes, Meriellen Dias, Ruth Andia Merlin, Bruno Vieira Caputo, Gilberto Araújo Noro Filho, Michael Bredos Arseniam, Kelly Cristine Tarquínio Marinho, Levy Anderson César Alves, Elcio Magdalena Giovani

Subject: Public Health And Healthcare, Other Keywords: Metabolô; mica; Biofluidos; Metabó; litos; Biomarcadores; HIV.

Online: 19 March 2024 (16:32:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202406.1596.v1

Estimating Monetary Demand Using a Flexible Model of Almost Ideal Demand System(AIDS)

Jafar Azizi, Afsaneh Jabbari

Subject: Business, Economics And Management, Economics Keywords: Monetary demand function; AIDS; price and non-price elasticity

Online: 24 June 2024 (08:43:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202302.0035.v1

Hearing Aids Reduce Self-Perceived Difficulties in Noise for Listeners with Normal Audiograms

Kiri Mealings, Joaquin T. Valderrama, Jorge Mejia, Ingrid Yeend, Elizabeth F. Beach, Brent Edwards

Subject: Medicine And Pharmacology, Otolaryngology Keywords: Speech-in-noise hearing difficulties; Hidden hearing loss (HHL); hearing aids; self-report; Reaction time; Ecologically momentary assessment (EMA)

Online: 2 February 2023 (08:37:41 CET)

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Preprint ARTICLE | doi:10.20944/preprints202102.0141.v1

Molecular Identification of Cryptosporidium spp. in Patients Living with HIV / AIDS in Honduras

Sergio Betancourth, Osman Archaga, Wendy Moncada, Vilma Rodríguez, Gustavo Fontecha

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Cryptosporidium spp; C. parvum; gp60; 18S ribosomal; cowp; HIV / AIDS; Honduras

Online: 4 February 2021 (14:42:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints202303.0031.v1

A Mixed Clustering Approach for Real Time Anomaly Detection

Fokrul Alom Mazarbhuiya, Mohamed Shenify

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: data instances; real time systems; k-means algorithm; agglomerative hierarchical algorithm; similarity measure; merge function ;

Online: 2 March 2023 (04:15:10 CET)

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Preprint REVIEW | doi:10.20944/preprints201909.0326.v1

Recent Advances in Anomaly Detection Methods applied to Aviation

Luis Basora, Xavier Olive, Thomas Dubot

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: anomaly detection; aviation; trajectory; time series; machine learning; deep learning; predictive maintenance; prognostics and health management; condition monitoring; air traffic management

Online: 29 September 2019 (06:14:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1828.v1

Wastewater Surveillance of SARS-CoV-2 in Zambia: An Early Warning Tool

Doreen Mainza Shempela, Walter Muleya, Steward Mudenda, Victor Daka, Jay Sikalima, Mapeesho Kamayani, Dickson Sandala, Chilufya Chipango, Kapina Muzala, Kunda Musonda, Joseph Yamweka Chizimu, Chilufya Mulenga, Otridah Kapona, Geoffrey Kwenda, Maisa Kasanga, Michael Njuguna, Fatim Cham, Bertha Simwaka, Linden Morrison, John Bwalya Muma, Ngonda Saasa, Karen Sichinga, Edgar Simulundu, Roma Chilengi

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Wastewater; Surveillance; Early warning; SARS-CoV-2; COVID-19; Zambia

Online: 26 June 2024 (06:05:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201710.0056.v1

Conditioning Factors in the Transition Process to the Self-Care of Women with AIDS

Claudia Regina de Andrade Arrais Rosa, Simony Fabíola Lopes Nunes, Regiane Silva de Jesus, Francisco Dimitre Rodrigo Pereira Santos, Leila Rute Oliveira Gurgel do Amaral, Nilviane Pires Silva Sousa, Daniel Costa Duarte, Allan Kardec Barros Duailibe Filho

Subject: Social Sciences, Psychology Keywords: nursing theory; self-care women; HIV

Online: 10 October 2017 (02:55:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0181.v1

SMAP and CalCOFI Observe Freshening During the 2014-2016 Northeast Pacific Warm Anomaly

Jorge Vazquez, Jose Gomez-Valdes

Subject: Environmental And Earth Sciences, Oceanography Keywords: Salinity; Coastal; Upwelling; Validation

Online: 10 July 2018 (13:41:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.0459.v1

Sociodemographic and Clinical Predictors of Health Insurance Coverage among Patients Seeking Viral Hepatitis B and C Services in Nigeria: A Cross-Sectional Facility-Based Study

Abiola Victor Adepoju, Donald C Udah, Chinonye Ezenwa Alioha, Jamiyu Ganiyu, Sumaiya Muhammad Lawal, James Ambo Haruna, Ibrahim Adamu Alhassan

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Health insurance; Nigeria; Universal health Coverage; Sociodemographic predictors; Viral hepatitis B and C;

Online: 8 February 2024 (08:15:43 CET)

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Abstract: Background: Viral hepatitis B and C (HBV and HCV) pose significant public health challenges globally, particularly in Nigeria, where access to healthcare and treatment affordability are major concerns. This study aims to identify sociodemographic and clinical predictors of health insurance coverage among patients with HBV and HCV in Nigeria. Methods: A cross-sectional facility-based study was conducted at two secondary hospitals in Nasarawa State, Nigeria. Par-ticipants included patients diagnosed with HBV, HCV, or both and are > 18 years old. Data were collected using a structured questionnaire covering sociodemographic and clinical information, health insurance details, and economic impact. Logistic multivariate regression analysis was used to analyze the relationship between sociodemographic/clinical variables and health insurance status. Results: Out of 295 participants included in the final analysis, 67.1% had health insur-ance, primarily covering hepatitis screening and vaccination. Being aged 31-45 years (adjusted Odds Ratio [aOR]: 5.72, 95% Confidence Interval [CI]: 1.4 - 23.28, p = 0.02), having post-secondary education (aOR: 11.73, CI: 4.09 - 33.66, p < 0.001), and being HIV-positive (aOR: 2.86, CI: 1.02 - 8.02, p = 0.046) were significant predictors of health insurance coverage. Being unemployed significantly reduced the likelihood of having health insurance (aOR: 0.04, CI: 0.01 - 0.11, p < 0.001).Conclusions: This study reveals high insurance coverage among patients seeking viral hepatitis services in Nasarawa state, Nigeria and provides critical insights into the sociodemo-graphic predictors of health insurance coverage. It also highlights the need for the expansion health insurance benefit package that covers for viral hepatitis diagnosis and treatment, espe-cially for the younger adults, unemployed and less educated populations. This should be followed with adequate budgeting and policy implementation monitoring efforts, which are crucial for Nigeria's journey towards universal health coverage and elimination of viral hepatitis.

Preprint CASE REPORT | doi:10.20944/preprints202312.0402.v2

Late presentation of Ebstein Anomaly: An Unique Case at 67yrs

Ishita Roy, Nilanjan Roy

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: RBBB; Ebstein anomaly; TGA; tricuspid valve

Online: 7 December 2023 (07:05:48 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.1654.v1

Finding IoT Anomaly using Rough Fuzzy Periodic Subspace Clustering Approach

Fokrul Alom Alom Mazarbhuiya, Mohamed Shenify

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Anomaly detection; Information system; High-dimensional data; Dominance relation; CORE of attribute set; Distance function; k-means algorithm

Online: 23 May 2023 (12:00:44 CEST)

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Finding anomalies in the real-time system is recognized as one of most challenging study in information security. It has so many applications like IoT, and Stock-Market. In any IoT system the data generated are real-time, and temporal in nature. Since due to the extreme exposure to Internet and interconnectivity of devices, the IoT systems often face issues like fraud, anomalies, intrusions etc. Discovering anomaly in such domain can be interesting. Clustering and rough set theory have been tried in many cases. Considering the time-stamp associated with IoT data, time-dependent patterns like periodic clusters can be generated which could be helpful for the efficient detection of anomalies by providing more in-depth analysis of the system. In this paper, a mixed method comprising of nano topology, a modified k-means clustering and an interval superimposition technique is used for finding fuzzy periodic clusters in the subspace generated by the nano topology. For every clusters there will be an associated sequence of time-intervals where it exists. The sequence time-intervals accompanying with each clusters may exhibit some remarkable patterns. For example, there may exist different types of periodicity namely yearly, monthly, daily, and hourly etc. For finding such fuzzy periodicity, an operation called interval-superimposition has been used. The time-intervals associated with each cluster are superimposed if they have reasonable overlapping. Each superimposed time-interval generates a fuzzy time-interval. The data instances are thought to be anomalous if they either belong to sparse clusters or don't belong to any clusters. The efficacy of the method can be assessed by means of both time-complexity analysis and comparative studies with existing clustering-based anomaly detection algorithms with a real-life and a synthetic dataset. It can been found experimentally that our method can extract anomaly with 98% of accuracy and it runs cubic time approximately.

Preprint ARTICLE | doi:10.20944/preprints202303.0489.v1

An Intuitionistic Fuzzy Rough Set Based Classification for Anomaly Detection

Fokrul Alom Mazarbhuiya, Mohamed Shenify

Subject: Computer Science And Mathematics, Software Keywords: Intuitionistic fuzzy sets; Fuzzy correlation; Fuzzy relation; -cut of a fuzzy relation; Similarity relation; Fuzzy lower and upper Approximation of sets.

Online: 28 March 2023 (12:46:08 CEST)

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Preprint DATA DESCRIPTOR | doi:10.20944/preprints202210.0423.v1

Multivariate Time Series Dataset of Milling 16MnCr5 for Anomaly Detection

Tobias Schlagenhauf, Jan Wolf, Alexander Puchta

Subject: Engineering, Mechanical Engineering Keywords: time series; machine learning; anomaly detection; transfer learning

Online: 27 October 2022 (07:58:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202112.0481.v1

Machine Learning Schemes for Anomaly Detection in Solar Power Plants

Mariam Ibrahim, Ahmad Alsheikh, Feras M. Awaysheh, Mohammad Dahman Alshehri

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: anomaly detection; machine learning; comparison analysis; renewable energy; Solar Power plants

Online: 30 December 2021 (11:51:18 CET)

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Preprint ARTICLE | doi:10.20944/preprints202111.0440.v1

Hybrid Algorithm for Anomaly Removal in Time Series Data Mining

Abdul Razaque, Marzhan Abenova, Munif Alotaibi, Bandar Alotaibi, Hamoud Alshammari, Salim Hariri, Aziz Alotaibi

Subject: Engineering, Control And Systems Engineering Keywords: time series; NMP algorithm; anomalies; data mining; similarities in time series; clustering

Online: 23 November 2021 (17:51:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202002.0241.v1

Anomaly Detection Trusted Hardware Sensors for Critical Infrastructure Legacy Devices

Apostolos P. Fournaris, Charalambos Dimopoulos, Konstantinos Lampropoulos, Odysseas Koufopavlou

Subject: Computer Science And Mathematics, Information Systems Keywords: security; hardware design; trust; cryptography; Anomaly Detection

Online: 17 February 2020 (07:06:07 CET)

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Critical Infrastructures and associated real time Informational systems need some security protection mechanisms that will be able to detect and respond to possible attacks. For this reason, Anomaly Detection Systems (ADS), as part of a Security Information and Event Management (SIEM) system, are needed for constantly monitoring and identifying potential threats inside an Information Technology (IT) System. Typically, ADS collect information from various sources within a CI system using security sensors or agents and correlate those information so as to identify anomaly events. Such sensors though in a CI setting (factories, power plants, remote locations) may be placed in open areas and left unattended thus becoming targets themselves of security attacks. They can be tampering and malicious manipulated so that they provide false data that may lead an ADS or SIEM system to falsely comprehend the CI current security status. In this paper, we describe existing approaches on security monitoring in critical infrastructures and focus on how to collect security sensor - agent information in a secure and trusted way. We then introduce the concept of hardware assisted security sensor information collection that improve the level if trust (by hardware means) and also increase the responsiveness of the sensor. Thus, we propose a Hardware Security Token (HST) that when connected to a CI Host, it acts as a secure anchor for security agent information collection. We describe the HST functionality, its association with a host device, its expected role and its log monitoring mechanism. We also provide information on how security can be established between the Host device and the HST.Then, we introduce and describe the necessary Host components that need to be established in order to guarantee a high security level and correct HST functionality. We, also provide a realization-implementation of the HST overall concept in a FPGA SoC evaluation board and describe how the HST implementation can controlled. Finally, we provide indicative use case scenarios of how the HST can be used in practice to provide a variety of different security services beyond acting as a secure ADS sensor.

Preprint ARTICLE | doi:10.20944/preprints202405.0898.v1

HIV/AIDS-Associated Knowledge and Attitudes Towards Treating Disadvantaged Communities among Pre-CBDE Dental Students in the U.S.

Aditi Tomar, Hannah Balcezak, Shirley Lewis Miranda, Marie C Latortue, Richa Chinchkhandi, Lisa Wigfall

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: HIV/AIDS; community‐based dental education (CBDE); people living with HIV/AIDS (PLWHA)

Online: 14 May 2024 (11:09:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0504.v1

Influence of HIV/AIDS infection on Immunological and Nutritional Status. A Cross Sectional Study in Kingdom of Bahrain

Fatima Alabdulali, Afnan Freije, Mariam Al-Mannai, Jameela Alsalman, Fatima Buabbas, Mariangela Rondanelli, Simone Perna

Subject: Biology And Life Sciences, Virology Keywords: HIV/AIDS patients; Nutritional; biochemical; Markers; immunological disease

Online: 8 May 2023 (10:10:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1083.v1

LogBD: A Log Anomaly Detection Method Based on Pre-trained Models and Domain Adaptation

Le Deng, Shuxian Liu, Huan Xu, Wei Wang

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: log anomaly detection; pre-trained models; domain adaptation

Online: 16 May 2023 (04:49:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0283.v1

Research and Implementation of Low-Power Anomaly Recogni-Tion Method for Intelligent Manhole Covers

Jiahu Guo, Kai Wang, Jianquan Sun, Youcheng Jia

Subject: Engineering, Electrical And Electronic Engineering Keywords: low power consumption; Internet of Things; Intelligent manhole cover; attitude solving

Online: 13 April 2023 (03:12:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0205.v1

Combining Log Files and Monitoring Data to Detect Anomaly Patterns in a Data Center

Laura Viola, Elisabetta Ronchieri, Claudia Cavallaro

Subject: Computer Science And Mathematics, Information Systems Keywords: log analysis; monitoring data; anomaly detection; natural language processing; topic modeling; clustering technique; time series anomaly detection

Online: 14 June 2022 (11:10:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.2046.v1

The Geological Investigation of the Lunar Reiner Gamma Magnetic Anomaly Region

Junhao Hu, Jingwen Liu, Jianzhong Liu, Jiayin Deng, Sheng Zhang, Danhong Lei, Xuejin Zeng, Weidong Huang

Subject: Geophysics And Geology, Environmental And Earth Sciences Keywords: Reiner Gamma; Lunar Magnetic Anomalies; 1:10,000 Regional Geological Map; Geomorphological Feature

Online: 26 September 2024 (09:59:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1265.v1

Anomaly Detection in Kuwait Construction Market Data Using Autoencoder Neural Networks

Basma Al-Sabah, Gholamreza Anbarjafari

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Autoencoder Neural Networks; Anomaly Detection in Construction Data; Machine Learning in Building Management; Construction Market Analysis

Online: 20 May 2024 (09:47:04 CEST)

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Preprint BRIEF REPORT | doi:10.20944/preprints202308.1089.v1

Review of Advancing Anomaly Detection in SDN through Deep Learning Algorithms

Shirmohammad Tavangari, Somayeh Taghavi Kulfati

Subject: Computer Science And Mathematics, Computer Science Keywords: SDN; machine learning; algorithms; GRU-LSTM

Online: 15 August 2023 (09:40:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0722.v1

Anomaly Detection in Endemic Disease Surveillance Data Using Machine Learning Techniques

Peter U. Eze, Nicholas Geard, Ivo Mueller, Iadine Chades

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Anomaly detection; Malaria data; Machine learning; big data; epidemic

Online: 10 May 2023 (09:34:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202302.0349.v1

How Dimensionality Affects the Structural Anomaly in a Core-Softened Collo

Leandro B. Krott, José Rafael Bordin

Subject: Chemistry And Materials Science, Physical Chemistry Keywords: Confined colloids; waterlike anomalies; Molecular Dynamics simulation

Online: 21 February 2023 (03:49:27 CET)

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Preprint ARTICLE | doi:10.20944/preprints202202.0081.v1

Online Anomaly Detection for Smartphone-Based Multivariate Behavioral Time Series Data

Gang Liu, Jukka-Pekka Onnela

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Online learning; Anomaly detection; Hotelling’s T-squared test; Digital phenotyping

Online: 7 February 2022 (11:54:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints202405.0483.v1

Hepatitis B Virus Prevalence Among HIV-Uninfected People Living in Rural and Peri-Urban Areas in Botswana

Motswedi Anderson, Thabo Mangogola, Bonolo B. Phinius, Gorata Mpebe, Christopher O. Aimakhu, Wonderful T. Choga, Basetsana Phakedi, Lynnette N. Bhebhe, Doreen Ditshwanelo, Kabo Baruti, Linda Mpofu-Dobo, Lebogang Othusitse, Tsholofelo Ratsoma, Tendani Gaolathe, Joseph Makhema, Roger Shapiro, Shahin Lockman, Sikhulile Moyo, Simani Gaseitsiwe

Subject: Biology And Life Sciences, Virology Keywords: Hepatitis B Virus; HBV; prevalence; genotypes; mutations; HIV negative; Africa

Online: 8 May 2024 (07:19:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1710.v1

Wavelet-Based Computational Intelligence for Real-Time Anomaly Detection and Fault Isolation in Embedded Systems

Jesus Pacheco, Victor H. Benitez, Guillermo Pérez, Agustín Brau

Subject: Engineering, Electrical And Electronic Engineering Keywords: discrete wavelet transform; embedded systems; anomaly behavior analysis; sensor fault detection; computational intelligence; cybersecurity; false data injection; anomaly detection

Online: 23 August 2024 (10:11:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.1565.v1

Anomaly Detection in Individual Specific Networks through Explainable Generative Adversarial Attributed Networks

Pietro Hiram Guzzi, Ugo Lomoio, Tommaso Mazza, Pierangelo Veltri

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: ISN; GANN; Patient

Online: 23 September 2024 (13:39:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1882.v1

An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation

Andrea Loddo, Davide Ghiani, Alessandra Perniciano, Luca Zedda, Barbara Pes, Cecilia Di Ruberto

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: image processing; computer vision; machine learning; food industry; curd-firming time detection

Online: 29 April 2024 (04:59:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0431.v1

Anomaly-based Intrusion Detection System for IoT Networks With Improved Data Engineering

Abdulaziz A. Alsulami, Qasem Abu Al-Haija, Ahmad Tayeb

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Supervised machine learning; intrusion detection; data engineering; cybersecurity; Internet of Things.

Online: 27 October 2022 (10:57:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202001.0028.v2

Anomaly Detection in Particulate Matter Sensor Using Hypothesis Pruning Generative Adversarial Network

Yeong Hyeon Park, Won Seok Park, Yeong Beom Kim

Subject: Computer Science And Mathematics, Information Systems Keywords: anomaly detection; generative adversarial network; multiple hypothesis; particulate matter

Online: 14 February 2020 (05:23:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints201704.0071.v1

Anomaly Detection on Gas Turbine Fuel System Using a Sequential Symbolic Method

Fei Li, Hongzhi Wang, Guowen Zhou, Daren Yu, Jianzhong Li, Hong Gao

Subject: Engineering, Mechanical Engineering Keywords: gas turbine fuel system; anomaly detection; symbolic dynamic analysis; time series

Online: 13 April 2017 (05:36:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1038.v1

Anomaly-Induced Quenching of g_A in Nuclear Matter and Impact on Search for Neutrinoless ββ Decay

Mannque Rho

Subject: Physical Sciences, Nuclear And High Energy Physics Keywords: fundamental quenching of gA; solution to quenched gA; neutrinoless double beta decay; Landau fixed point vs. ESPM; pseudo-conformality in nucleus

Online: 16 August 2023 (04:24:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202212.0413.v2

Atmospheric CO2 Two Box Model Accurately Tracks 14C and 13C without Requiring the "Revelle Isotopic Anomaly"

Stephen Taylor

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: CO2 turnover time; anthropogenic emissions; CO2 flux; global warming

Online: 17 January 2023 (02:24:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202109.0034.v3

Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study of Real-World Gas Turbine Anomalies

Ahmad Kamal Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad, Víctor Leiva

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Artificial intelligence; CMAPSS; consistency and local accuracy; CUSUM chart; deep learning; prognostic and health management; RMSE; sensing and data extraction; SHAP; Uncertainty; XAI

Online: 12 January 2022 (10:22:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints201910.0237.v1

Geochemical Anomaly Separation by Statistical and Fractal Methods in the Sehezar Valley of Tonekabon – Northern Iran

Meysam Yazdani, Firouz Alinia

Subject: Environmental And Earth Sciences, Geochemistry And Petrology Keywords: Sehezar; geochemical anomaly separation; threshold; factor analysis; cluster analysis; concentration - area fractal

Online: 20 October 2019 (16:53:36 CEST)

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Sehezar area is located in southern Tonokabon in Mazandaran province, north of Iran, near the Tarom – Hashdtjin belt. The existence of granitoid masses in the region can be important in terms of the potential of mineralization. Geochemical anomaly separation from the background is one of the important steps in mineral exploration. In the past decades, geochemical anomalies have been identified by means of various methods. Some of these separation methods include: statistical analysis methods (like univariate, bivariate, multivariate statistics), spatial statistical methods and fractal and multi-fractal methods. To identify the anomalous area, 71 stream sediment samples were collected from the area and analyzed by the ICP-MS method, and then interpreted. Initially, data were normalized and afterwards, univariate analysis (threshold limit and screening (P.N) methods) was used, in which results of the probable and definite anomaly of the threshold method were confirmed by the P.N screening method. Finally, the maps of the anomal zones were drawn. Then, bivariate analysis (Pearson correlation coefficients) and multivariate analysis on normal data were performed on SPSS software, in which factor analysis and cluster analysis were used for multivariate analysis. As a result of using the factor analysis method, six factors were identified and factor maps were drawn by the Surfer software. Also, by using cluster analysis, the variables were divided into two groups. In order for a better separation of the geochemical anomaly from the background, in addition to the threshold method, the Concentration - Area fractal method was used. Here, the fractal geometry using full-logarithmic graphs of the Concentration - Area obtained is capable of separating the stairs of different sections (background, threshold, and anomaly) with respect to the angle coefficient of the Concentration - Area plot. Then, in conclusion, results of these methods were compared and investigated, and finally, the anomalies area maps of the Au, Ag, Cu, Fe, W elements were drawn by Concentration - Area fractal and threshold methods and anomalous zones were introduced.

Preprint ARTICLE | doi:10.20944/preprints202403.0246.v1

Regional Health Divides: Understanding Inequities in Late Diagnosis of HIV in Tajikistan

Kamiar Alaei, Brian Kwan, Hamid R. Torabzadeh, Adebimpe O. Akinwalere, Sattorov S. Saydamirovich, Gafur Mohsinzoda, Arash Alaei

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: HIV detection; HIV testing; Tajikistan; Central Asia; regional disparities; rural areas; gender disparities; age; COVID-19; case study

Online: 5 March 2024 (10:51:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202407.1103.v1

Pre-Earthquake Anomaly Analysis of Geoelectric Field Stations Surrounding the M6.2 Jishishan Earthquake

Weiming Wang, Xiaofeng Liao, Zhiwei Zhang

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: anomalies of geoelectric field; non-uniform variations; tectonic activities; dominant azimuth angle; three elements of earthquake prediction; Jishishan Ms6.2 earthquake

Online: 16 July 2024 (04:46:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202212.0014.v1

Efficient Anomaly Heartbeat Detection Approach for Intermediate Nodes of Internet‐of‐Things Platforms

Leonardo Juan Ramirez Lopez

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Machine Learning; Fog layer; Heartrate; Performance; IoT

Online: 1 December 2022 (08:07:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints202207.0039.v1

Symmetrical Simulation Scheme for Anomaly Detection in Autonomous Vehicles Based on LSTM Model

Abdulaziz A. Alsulami, Qasem Abu Al-Haija, Ali Alqahtani, Raed Alsini

Subject: Engineering, Electrical And Electronic Engineering Keywords: Autonomous vehicles (A.V.); Anomaly Detection (A.D.); Deep Learning (DL), Symmetry; Long Short-Term Memory (LSTM); False Data Injection (FDI) Attacks

Online: 4 July 2022 (08:14:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0099.v1

Predictive Maintenance: An Autoencoder Anomaly-based Approach for a 3 DoF Delta Robot

Kiavash Fathi, Hans Wernher van de Venn, Marcel Honegger

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: Predictive maintenance; Anomaly detection; Autoencoder; Gaussian processes; Deep learning; Data-driven maintenance

Online: 6 September 2021 (13:37:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.0722.v1

Human Tooth Developmental Anomaly: Odontoblastic Differentiation in Hamartomatous Calcifying Hyperplastic Dental Follicles Presenting DSP, Nestin, and HES1

Hiromasa Hasegawa, Katsumitsu Shimada, Takanaga Ochiai, Yasuo Okada

Subject: Biology And Life Sciences, Cell And Developmental Biology Keywords: odontoblastic differentiation; hyperplastic dental follicle; calcifying whorled nodule; nestin; dentin sialoprotein; hairy and enhancer split 1

Online: 11 December 2023 (15:18:49 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0666.v1

They Have Always Called Us Sick: Heterosexism and Medical Inequality for Queer Americans with Chronic Illness and a Potential New Direction for AIDS Discourses

B. Garrick Harden, Andre A. Favors

Subject: Social Sciences, Sociology Keywords: Queer Theory; Pandemics; Sexuality; AIDS Discourses; COVID Discourses

Online: 9 January 2024 (10:30:55 CET)

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Preprint ARTICLE | doi:10.20944/preprints202212.0051.v1

AI-based Detection of Aspiration for Video-endoscopy with Visual Aids in Meaningful Frames to Interpret the Model Outcome

Jürgen Konradi, Milla Zajber, Ullrich Betz, Philipp Drees, Annika Gerken, Hans Meine

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: XAI; segmentation; detection; aspiration; glottis; vocal cords; endoscopy; FEES; interpretability; meaningful sequences; key frames

Online: 2 December 2022 (12:22:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints202307.0062.v1

An Anomaly Detection Method based on Multiple LSTM-Autoencoder Models for In-vehicle Network

Ilsun You, TaeGuen Kim, Jiyoon Kim

Subject: Computer Science And Mathematics, Security Systems Keywords: anomaly detection; vehicular network; Controller Area Network; LSTM-Autoencoder model; intrusion detection system; Vehicular IoT

Online: 4 July 2023 (03:09:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202101.0356.v1

Anomaly Detection of Wind Turbine Gearbox based on SCADA Temperature Data using Machine Learning

Haroon Rashid, Canras Batunlu

Subject: Engineering, Electrical And Electronic Engineering Keywords: Wind turbine; Renewable energy; Wind energy; Machine learning; Gearbox

Online: 18 January 2021 (15:12:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints201911.0113.v1

Effects of Machine Learning Approach in Flow Based Anomaly Detection on Software Defined Networking

Samrat Kumar Dey, Md. Mahbubur Rahman

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: software defined networking; random forest; gain ratio; gru-lstm; anova f-rfe; open flow controller; machine learning

Online: 10 November 2019 (14:27:32 CET)

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Preprint ARTICLE | doi:10.20944/preprints202306.1007.v1

Anomaly Detection and Localization Using LSTM Based Autoencoder with Maximal Overlap Discrete Wavelet Transform for Structural Health Monitoring

Syed Haider Mehdi Rizvi, Muntazir Abbas, Syed Muhammad Tayyab Tayyab

Subject: Engineering, Safety, Risk, Reliability And Quality Keywords: Structural Health Monitoring; Deep Learning; Lamb waves; Autoencoder; Anomaly Detection

Online: 14 June 2023 (07:49:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1335.v1

Factors Associated with Late Diagnosis of HIV/AIDS in a University Hospital in Brazil: Challenges to Achieving the 2030 Target

Ligia Maria Nascimento Arantes, Andrey Oeiras Pedroso, Mayra Gonçalves Menegueti, Elucir Gir, Eliã Pinheiro Botelho, Ana Cristina de Oliveira e Silva, Renata Karina Reis

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: HIV; Acquired Immunodeficiency Syndrome; late diagnosis; Nursing

Online: 19 July 2023 (11:40:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202001.0034.v1

Improving Sea Level Anomaly Precision from Satellite Altimetry Using Parameters Correction in the Red Sea

Ahmed Mohammed Taqi, Abdullah Mohammed Al-Subhi, Mohammed Ali AlSaafani

Subject: Environmental And Earth Sciences, Oceanography Keywords: improving sea level anomaly; satellite altimetry; parameters correction; The Red Sea; coastal

Online: 4 January 2020 (11:16:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints202104.0057.v1

Analysis of Arctic Spring Ozone Anomaly in the Phases of QBO and 11-year Solar Cycle for 1979–2011

Yousuke Yamashita, Hideharu Akiyoshi, Masaaki Takahashi

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Arctic ozone; QBO; 11-year solar cycle; sudden stratospheric warming; chemistry-climate model

Online: 2 April 2021 (11:40:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.1089.v1

Analyzing the Transferability of Anomaly Detection Knowledge from Computer Science and Mathematics Publications to the Field of Oil and Gas Research

Boris Chigarev

Subject: Engineering, Energy And Fuel Technology Keywords: anomaly detection; MPDI; SPE; Computer Science and Mathematics; bibliometric data; algorithms

Online: 17 October 2023 (11:29:47 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202102.0167.v1

Combined Aortic Valve Replacement and Coronary Bypass Grafting in Patient With Lipton’s R-III Type of Single Coronary Artery Anomaly

Milica Karadzic Kocica, Hristina Ugrinovic, Dejan Lazovic, Nemanja Karamarkovic, Milos Grujic, Borivoje Lukic, Oliver Radmili, Vladimir Cvetic, Mladen Kocica

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: single coronary artery; aortic valve surgery, coronary artery bypass grafting surgery; case report

Online: 8 February 2021 (15:42:53 CET)

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