Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

“…The decoder part attempts to capture the encoded data and reconstruct the original data with minimal error. …”
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Development of HTC-DBSCAN: A Hierarchical Trajectory Clustering Algorithm with Automated Parameter Tuning by Dae-Han Lee, Joo-Sung Kim

“…In this study, as a core ship route-clustering process, we propose a sub-route clustering process by setting the distance and density of data points to clear standards for re-analysis and completion. …”
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Development, calibration, and validation of a U.S. white male population-based simulation model of esophageal adenocarcinoma. by Chin Hur, Tristan J Hayeck, Jennifer M Yeh, Ethan M Richards, Stuart J Spechler, G Scott Gazelle, Chung Yin Kong

“…Progression rates between health states were estimated via calibration, which identified distinct parameter sets producing model outputs that fit epidemiologic data; specifically, the prevalence of pre-cancerous lesions and EAC cancer incidence from the published literature and Surveillance, Epidemiology, and End Results (SEER) data. …”
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Identification of Changing Lower Limb Neuromuscular Activation in Parkinson’s Disease during Treadmill Gait with and without Levodopa Using a Nonlinear Analysis Index by Amir Pourmoghaddam, Marius Dettmer, Daniel P. O’Connor, William H. Paloski, Charles S. Layne

“…Nonlinear EMG analysis tools have shown to be valuable, but analysis is often complex and interpretation of the data may be difficult. A previously introduced algorithm (SYNERGOS) that provides a single index value based on simultaneous multiple muscle activations (MMA) has been shown to be effective in detecting changes in EMG activation due to modifications of walking speeds in healthy adults. …”
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Screening tools used by paediatric healthcare providers to identify child maltreatment by parents or caregivers: a systematic review by Stefan Nilsson, Josefine Ejnell Bjursell, Helena Wigert, Katarina Patriksson

“…Data on reliability and validity were synthesised narratively due to heterogeneity in methods and outcomes.Quality appraisal Risk of bias and the quality of Patient Reported Outcome Measure development were assessed using the Consensus-based Standards for the Selection of Health Measurement Instruments checklist, which also guided the grading of evidence strength.Results In total, 1874 abstracts and 84 full-text articles were reviewed. 14 articles featuring 13 distinct screening tools were identified, most of which were used to detect physical abuse in emergency room settings. …”
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Sensitive and modular amplicon sequencing of Plasmodium falciparum diversity and resistance for research and public health by Andrés Aranda-Díaz, Eric Neubauer Vickers, Kathryn Murie, Brian Palmer, Nicholas Hathaway, Inna Gerlovina, Simone Boene, Manuel García-Ulloa, Pau Cisteró, Thomas Katairo, Francis Ddumba Semakuba, Bienvenu Nsengimaana, Hazel Gwarinda, Carla García-Fernández, William Louie, Endashaw Esayas, Clemente Da Silva, Debayan Datta, Shahiid Kiyaga, Innocent Wiringilimaana, Sindew Mekasha Feleke, Adam Bennett, Jennifer L. Smith, Endalamaw Gadisa, Jonathan B. Parr, Melissa D. Conrad, Jaishree Raman, Stephen Tukwasibwe, Isaac Ssewanyana, Eduard Rovira-Vallbona, Cristina M. Tato, Jessica Briggs, Alfredo Mayor, Bryan Greenhouse

“…Gene deletions and duplications were reliably detected in mono- and polyclonal controls. Data generated by MAD4HatTeR were highly reproducible across multiple laboratories. …”
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STModule: identifying tissue modules to uncover spatial components and characteristics of transcriptomic landscapes by Ran Wang, Yan Qian, Xiaojing Guo, Fangda Song, Zhiqiang Xiong, Shirong Cai, Xiuwu Bian, Man Hon Wong, Qin Cao, Lixin Cheng, Gang Lu, Kwong Sak Leung

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Early antenatal risk factors for births before arrival: An unmatched case–control study by Talia Rose Hubble, Manisha Nair, Christina Y. L. Aye, Sam Mathewlynn, Catherine Greenwood, Lawrence Impey

“…Material and methods This was an unmatched case–control study involving 37 348 persons who gave birth at a minimum of 22+0 weeks' gestation over a 5‐year period from January 2014 to October 2019 (IRAS project ID 222260; REC reference: 17/SC/0374). The setting was a large UK university hospital. Data obtained on maternal characteristics at booking was examined for association with birth before arrival using a stepwise multivariable logistic regression analysis. …”
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Relationships between dipstick proteinuria and risk of hearing impairment among Japanese workers: a prospective cohort study by Mitsumasa Umesawa, Toshimi Sairenchi, Yasuo Haruyama, Gen Kobashi, Mikako Hara

“…This prospective study aimed to clarify the association between dipstick proteinuria and risk of hearing impairment.Design This was a prospective cohort study based on annual health check-up data, 2008–2016.Setting Data were collected on 7005 employees of a single company who worked in offices and factories throughout Japan.Participants We analysed data from 5699 subjects (88.6% men) who underwent annual health check-ups twice or more from 2008 to 2016, had no missing data, and were free from hearing impairment at baseline. …”
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Eradication of Helicobacter pylori for prevention of aspirin-associated peptic ulcer bleeding in adults over 65 years: the HEAT RCT by CJ Hawkey, Anthony J Avery, Carol AC Coupland, Colin J Crooks, Jennifer S Dumbleton, FD Richard Hobbs, Denise Kendrick, Michael Moore, Clive Morris, Gregory Rubin, Murray Smith, Diane Stevenson

“…Seventy-one participants (1.3%) withdrew consent to further data follow-up at a median value of 503 days (IQR 69–1324) after randomisation. …”
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Clinical Outcomes of Passive Sensors in Remote Monitoring: A Systematic Review by Essam Rama, Sharukh Zuberi, Mohamed Aly, Alan Askari, Fahad M. Iqbal

“…Challenges included long-term adherence, scalability, data integration, security, and ownership. Future research should prioritise validation across diverse settings, long-term impact assessment, and integration into clinical workflows to maximise their utility.…”
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Concordance between MRI and clinical examination in cervical cancer staging: a retrospective study by Umesh Sharma, Birendra Kumar Yadav, Ujwal Rai, Akash Pradhan, Jyoti Bhaju Lama, Alok Thakur

“…This study evaluates MRI-CE concordance in staging cervical cancer at a Nepalese tertiary center, hypothesizing moderate agreement with MRI detecting occult spread missed by CE. Methods This retrospective study (2020–2023) included 76 patients with histologically confirmed cervical cancer and complete MRI (1.5T, T2/DWI/post-contrast) and CE (pelvic exam, punch/cone biopsy) data at Purbanchal Cancer Hospital. …”
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3D tooth identification for forensic dentistry using deep learning by Hamza Mouncif, Amine Kassimi, Thierry Bertin Gardelle, Hamid Tairi, Jamal Riffi

“…This innovative approach improves accuracy and diagnostic efficiency by reducing manual analysis and speeding up processing time, overcoming the challenges of 3D data irregularity and leveraging its detailed representation, thereby setting a new standard in dental identification.…”
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Effects of cinnamic acid treatment on aroma of Kyoho grape during low temperature storage by HU Yulong, TIAN Shufen, WANG Chaoxia, WANG Rong, MA Chuang, JIANG Jianfu

“…The group treated with 0 mmol·L-1 was set as the control group (CK). The entire spraying process followed strict operational standards to ensure uniformity and consistency till drip. …”
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Brillouin-based storage of QPSK signals with fully tunable phase retrieval by Olivia Saffer, Jesús Humberto Marines Cabello, Steven Becker, Andreas Geilen, Birgit Stiller

“…At a cryogenic temperature of 3.9 K, we have increased readout efficiency as well as gained access to longer storage times, which results in a detectable signal at 140 ns. All in all, the work sets the cornerstone for optoacoustic memory schemes with phase-encoded data.…”
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Signatures of the Existence of Frontal and Lateral Ramp Structures Near the Kishtwar Window of the Jammu and Kashmir Himalaya: Evidence From Microseismicity and Source Mechanisms by Himangshu Paul, Keith Priestley, Debarchan Powali, Swati Sharma, Supriyo Mitra, Sunil Wanchoo

“…We detected and located several hundred earthquakes using continuous data recorded in our network. …”
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Location-Aware Ambient Sound Model Adaptation for On-Device Human Activity Recognition in Living Spaces by Cheolhwan Lee, Homin Kang, Soon Ju Kang

“…Human activity recognition (HAR) using sound-based approaches provides a non-intrusive and practical solution for detecting and classifying human activities in real-world environments. …”
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Impact of Artificial Intelligence on Human Resource Management Practices: A Qualitative Study in Hyderabad, Pakistan’s Banking Sector by Sahar Akhtar Mughal, Mohammed Bilal Memon, Faraz Ali Memon

“…Simultaneously, its use raises new concerns, for instance, data privacy. The current study adopted a qualitative approach to explore how AI is impacting HRM practices and how it can be applied effectively in real-world settings. …”
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Lung Cancer Classification Using the Extreme Gradient Boosting (XGBoost) Algorithm and Mutual Information for Feature Selection by Regitha Zizilia, Yulison Herry Chrisnanto, Gunawan Abdillah

“…Feature selection using Mutual Information improves computational efficiency by reducing the number of features, and it can be effectively applied to simplify feature sets without significantly compromising model performance in certain data scenarios, depending on the characteristics of the dataset.…”
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Treatment Effect Estimation Using Self-Estimated Counterfactuals Under Varying Conditions by Christoph Emanuel Mueller, Hansjoerg Gaus

“…Data Collection and Analysis: The data was collected via online surveys on a crowdsourcing portal. …”
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