Federated Mental Wellbeing Assessment Using Smartphone Sensors Under Unreliable Participation by Gavryel Martis, Ryan McConville

“…The findings suggested that given the widespread use of such devices, FL holds great potential in mood and depression detection while protecting data privacy. Our continual FL achieves similar performance to standard FL, but with added benefit of faster model updates.…”
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Model-Based Electroencephalogram Instantaneous Frequency Tracking: Application in Automated Sleep–Wake Stage Classification by Masoud Nateghi, Mahdi Rahbar Alam, Hossein Amiri, Samaneh Nasiri, Reza Sameni

“…To address this challenge, automated brain monitoring has emerged as a crucial solution for cost-effective and efficient EEG data analysis. A critical component of sleep analysis is detecting transitions between wakefulness and sleep states. …”
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FIRST RESULTS ON THE DIRECTION STATISTICS OF PAIRS OF EPICENTERS OF NEIGHBOR EARTHQUAKES ON KAMCHATKA by A. A. Gusev, A. A. Palueva

“…This interpretation is illustrated by Figs 7 and 8 where one can see in map view how a separate petal of a rose diagram is related to a set of subparallel links that formed it. The main result of the study is the design and testing of a new technique of investigation of hidden anisotropy of the field of epicenters, and detection of time variations of the revealed features. …”
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Assessment of five global gridded precipitation estimates over a southern Mediterranean basin (Tensift, Morocco) by Kaoutar Oukaddour, Younes Fakir, Michel Le Page

“…ERA5 and TerraClimate, the longest data series, were used to visualize the precipitation trends in the basin.…”
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Corporate Biodiversity and Water Impact and Risk: Seven Key Principles for Leveraging Insights From Satellite Remote Sensing by Leon T. Hauser, Alexander Damm, Maria J. Santos

“…Abstract Amid unprecedented biodiversity loss and water scarcity, calls for corporate responsibility are becoming louder and have led to emerging non‐financial disclosure frameworks with demanding data needs. While the role of satellite remote sensing (RS) is highly anticipated to address data needs and boost transparency, critical thought on what is feasible and how to strategically integrate its insights for ambitious corporate biodiversity and water disclosure is lagging behind. …”
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Estimation of Welding Current with Adaptive Neuro Fuzzy Inference System (ANFIS): Utilization of Arc Light Signal Emitted in the Arc Welding Process by Yalçın Kanat, Yaşar Birbir, Gazi Büyüktaş

“…This study shows that, using artificial intelligence techniques, welding current can be automatically estimated through arc light and can also be useful for monitoring of the process and detecting its disturbances. For this purpose, initially, a data acquisition system is designed to synchronize the movement of the light sensor with the electrode holder. …”
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Recent advances in the methods and clinical applications of next-generation sequencing in genomic profiling and precision cancer therapy by Ahad Amer Alsaiari

“…Next-generation sequencing (NGS) has dramatically increased the sequencing data output and transformed biomedical investigations. …”
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Recording behaviour of indoor-housed farm animals automatically using machine vision technology: A systematic review. by Kaitlin Wurtz, Irene Camerlink, Richard B D'Eath, Alberto Peña Fernández, Tomas Norton, Juan Steibel, Janice Siegford

“…Automated tracking of animals has been successful in controlled laboratory settings, but recording from animals in large groups in highly variable farm settings presents challenges. …”
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Perceptions and Attitudes Toward Utilizing a Non‐Invasive Biomarker for Colorectal Cancer Screening: A Qualitative Study by Choi Ying Chu, Junjie Huang, Jamie Jie Mei Liew, Apurva Sawhney, Xianjing Liu, Chaoying Zhong, Jianli Lin, Junjie Hang, Claire Chenwen Zhong, Jinqiu Yuan, Martin C. S. Wong

“…ABSTRACT Background Colorectal cancer (CRC) screening, effective for early detection of CRC, was recently implemented by the Hong Kong government using the quantitative Fecal Immunochemical Test (FIT). …”
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Predicting progression events in multiple myeloma from routine blood work by Maximilian Ferle, Nora Grieb, Markus Kreuz, Jonas Ader, Hartmut Goldschmidt, Elias K. Mai, Uta Bertsch, Uwe Platzbecker, Thomas Neumuth, Kristin Reiche, Alexander Oeser, Maximilian Merz

“…Disease progression events are annotated in the forecasted data, predicting these events with significant reliability. …”
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Simulations suggest offshore wind farms modify low-level jets by D. Quint, D. Quint, J. K. Lundquist, J. K. Lundquist, J. K. Lundquist, D. Rosencrans

“…In the NOW-WAKES simulation data set, we find offshore LLJs in this region occur about 25 % of the time, most frequently at night, in the spring and summer months, in stably stratified conditions, and when a southwesterly wind is blowing. …”
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Exploring Generative Adversarial Network-Based Augmentation of Magnetic Resonance Brain Tumor Images by Mahnoor Mahnoor, Oona Rainio, Riku Klén

“…In particular, the earlier literature suggests that the classification accuracy of a convolutional neural network (CNN) used for detecting brain tumors in magnetic resonance imaging (MRI) images increases when GAN-generated images are included in the training data together with the original images. …”
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Never lose sight of enemies: giant honeybees perceive troublemakers even in mass flight mode—a case study by Gerald Kastberger, Martin Ebner, Thomas Hötzl

“…To investigate this, the study analyzes three episodes from a larger data set, each consisting of over 60,000 video frames and 4,000 infrared images, with a focus on the MFA phase. …”
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Prevalence Of Diabetic Retinopathy In Jorhat District Of Assam by Sagarika Das, Narayan Bardoloi, Sandip Sarkar

“…Prevalence of DR was found to be 1.17% (M= 0.69%, F=0.48%) in the entire data set and 5.63% among the diabetics. Conclusion:- Prevalence of DR in our project was much less than other population based studies across the nation.…”
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The problems of economic accounting components disunity in Russian companies in the economy digitalisation by Z. V. Chebotareva, Ya. S. Matkovskaya, E. V. Shapoval

“…It not only determined the relevance of the study, but it creates a precedent for discussion about the advisability of creating in an organisation a separate set of statistical information from accounting, designed to fill in and control reports of federal statistical observation.…”
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On the Effectiveness of the Minimization Approach to the Query Optimization by N. Mendkovich

“…It includes minimization algorithms based on “condition absorption”, prime implicants, and a set of linear inequalities minimization technics. …”
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Trajectory differential privacy protection mechanism based on prediction and sliding window by Ayong YE, Lingyu MENG, Ziwen ZHAO, Yiqing DIAO, Jiaomei ZHANG

“…To address the issues of privacy budget and quality of service in trajectory differential privacy protection,a trajectory differential privacy mechanism integrating prediction disturbance was proposed.Firstly,Markov chain and exponential perturbation method were used to predict the location which satisfies the differential privacy and temporal and spatial security,and service similarity map was introduced to detect the availability of the location.If the prediction was successful,the prediction location was directly used to replace the location of differential disturbance,to reduce the privacy cost of continuous query and improve the quality of service.Based on this,the trajectory privacy budget allocation mechanism based on w sliding window was designed to ensure that any continuous w queries in the trajectory meet the ε-differential privacy and solve the trajectory privacy problem of continuous queries.In addition,a privacy customization strategy was designed based on the sensitivity map.By customizing the privacy sensitivity of semantic location,the privacy budget could be customized to improve its utilization.Finally,the validity of the scheme was verified by real data set experiment.The results illustrate that it offers the better privacy and quality of service.…”
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Methodics and tools of cough sound processing on basic of neural net by U. A. Vishniakou, Bahaa Shaya

“…The proposed CNN system is designed to classify and detect cough sounds based on ESC-50. After selecting a set of sound classification data, four stages are described: extraction of features from audio files, labeling, training, testing. …”
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State of the Art Review of Wearable Devices for Respiratory Monitoring by Zhiyu Jia, Hannah Huth, Wen Qi Teoh, Sheng Xu, Bradford Wood, Zion Tsz Ho Tse

“…Wearable devices have emerged as a transformative tool for continuous, non-invasive respiratory monitoring and data portals, providing massive real-time data critical for both clinical and home settings. …”
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Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

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