Simulating Flying Insects Using Dynamics and Data-Driven Noise Modeling to Generate Diverse Collective Behaviors. by Jiaping Ren, Xinjie Wang, Xiaogang Jin, Dinesh Manocha

“…Furthermore, we model the noise as a constructive force at the collective level and present a technique to generate noise-induced insect movements in a large swarm that are similar to those observed in real-world trajectories. We use a data-driven formulation that is based on pre-recorded insect trajectories. …”
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Longitudinal study of care needs and behavioural changes in people living with dementia using in-home assessment data by Chloe Walsh, Alexander Capstick, Nan Fletcher-Lloyd, Jessica True, CR&T Group, Ramin Nilforooshan, Payam Barnaghi

“…Behavioural changes correlate with cognitive decline, functional impairment, caregiver distress, and care availability. Methods We use data from a 3-year prospective observational study of 141 people with dementia at home, using the Bristol Activities of Daily Living Scale, Neuropsychiatric Inventory and cognitive assessments, alongside self-reported and healthcare-related data. …”
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Optimized aspect level sentiment analysis of tweet data using deep learning and rule-based techniques by S. N. Enemuo, O. N. Akande, M. O. Lawrence, I. C. Saidu

“…A total of 26,401 tweets about the security situation in Nigeria were used as the test data. Most tweets in the Nigerian Twitter space are expressed in Pidgin language, which is a blend of English and local words, therefore, a rule-based technique was used to capture the local words and abbreviated character representations used in the Nigerian tweet data used for testing. …”
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Using the simulation program of the DA-42T aircraft central data system operation in the educational process of the university by A. S. Knyazev, A. S. Antonenko, M. A. Loptev, E. M. Zhdanov

“…The article deals with the issue of enhancing visibility and efficiency of training pilot trainees by using software applications during the educational process, which simulate the operation of the Central Data System, information from which is displayed in the real aircraft in the form of frames on multipurpose displays in the cockpit. …”
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Assessing the Effect of Data Augmentation on Occluded Frontal Faces Using DWT-PCA/SVD Recognition Algorithm by Louis Asiedu, Joseph Agyapong Mensah, Francis Ayiah-Mensah, Felix O. Mettle

“…MICE augmentation is recommended as a suitable data enhancement mechanism for imputing missing data/pixel of occluded face images.…”
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A Comparative Study of K-means Clustering Algorithms Using Euclidean and Manhattan Distance for Climate Data. by Bakhshan Hamad

“…The K-means clustering algorithms (Random, K-means++, Canopy, and Farthest First) are unsupervised machine learning techniques designed to group data points based on their similarities. The study examined the effects of clustering algorithms and distance metrics on climate data analysis from meteorological stations in the Kurdistan Region of Iraq (2020–2022). 8-attribute dataset with 1,095 cases was clustered using Random, K-means++, Canopy, and Farthest First methods, evaluated with Euclidean and Manhattan distance metrics via the WEKA tools, which is a versatile and accessible open-source tool for machine learning and data mining. …”
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Using a Bayesian network to classify time to return to sport based on football injury epidemiological data. by Kate K Y Yung, Paul P Y Wu, Karen Aus der Fünten, Anne Hecksteden, Tim Meyer

“…Providing an individualised estimation of time to return to play is often challenging, and clinical decision support tools are not common in sports medicine. This study uses epidemiological data to demonstrate a Bayesian Network (BN). …”
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RACF: A Multimodal Deep Learning Framework for Parkinson’s Disease Diagnosis Using SNP and MRI Data by Jiangbo Cao, Xiaojing Long

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TECTONOSTRATIGRAPHIC RESPONSE TO FAULTING IN RED BED ENVIRONMENT USING LIDAR DATA: THE ABU ZENIMA FORMATION SINAI by Auwalu Yola Lawan, Abdullah Musa Ali, Byami Andrew Jolly

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Urban ecological environment quality evaluation using deep autoencoder integration of multisource remote sensing data by Shengtang Wang, Weizhen Wang, Feinan Xu

“…Current quantitative assessments of UEEQ face challenges due to complex interactions among air pollution, urban heat islands, forest degradation, and water scarcity. …”
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Improving the integrity and reproducibility of research that uses antibodies: a technical, data sharing, behavioral and policy challenge by M. Biddle, P. Stylianou, M. Rekas, A. Wright, J. Sousa, D. Ruddy, M. I. Stefana, K. Kmiecik, A. Bandrowski, R.A. Kahn, C. Laflamme, E. M. Krockow, H.S. Virk

“…Where characterization data exists, end-users need help to find and use it appropriately. …”
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Nonparametric analysis of inter‐individual relations using an attention‐based neural network by Takashi Morita, Aru Toyoda, Seitaro Aisu, Akihisa Kaneko, Naoko Suda‐Hashimoto, Ikuma Adachi, Ikki Matsuda, Hiroki Koda

“…The proposed method does not exploit any behavioural patterns that are particular to Japanese macaques, and researchers can use it for location data of other animals. The flexibility of the neural network would also allow for its application to a wide variety of data with interacting components, such as vocal communication. ​…”
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Plasma concentration of voriconazole under concomitant use of nirmatrelvir/ritonavir in patients with COVID-19: a multicenter retrospective study by Hao Shi, Xuan Zhang, Qihui Kong, Lingyan Yu, Zhenwei Yu, Zhenwei Yu, Zhenwei Yu

“…BackgroundThe concomitant use of nirmatrelvir/ritonavir and voriconazole is generally contraindicated in clinical practice because of drug‒drug interactions (DDIs). …”
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Enhanced seismic hazard assessment and risk zoning in the Kashan Region, Central Iran: Insights from historical data and advanced modeling techniques by Ahmad Adib, Pooria Kianoush

“…Advanced probabilistic seismic hazard assessment techniques were employed using the OpenQuake platform to model seismic risks effectively. …”
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Patient Interaction Phenotypes With an Automated SMS Text Message–Based Program and Use of Acute Health Care Resources After Hospital Discharge: Observational Study by Klea Profka, Agnes Wang, Emily Schriver, Ashley Batugo, Anna U Morgan, Danielle Mowery, Eric Bressman

“…We engineered features to describe patients’ engagement with and conformity to the program and used a k-means clustering approach to learn distinct interaction phenotypes among program participant subgroups. …”
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An Aeroelastic Solution Method Using an Implicit Dynamic Approach by Weiji Wang, Wei Qian, Zheng Chen, Xinyu Ai

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Improved urban runoff prediction using high-resolution land-use, imperviousness, and stormwater infrastructure data applied to a process-based ecohydrological model. by Jonathan Halama, Robert McKane, Bradley Barnhart, Paul Pettus, Allen Brookes, Kevin Djang, Vivian Phan, Sonali Chokshi, James Graham

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Explainable Artificial Intelligence-Based Diseases Diagnosis From Unstructured Clinical Data and Decision Making Using Blockchain Technologies by Sumathi M., S. P. Raja

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Identification and assessment of hub genes and miRNAs coregulatory associated with immune infiltrations and drug interactions in latent tuberculosis based on MicroarrayData analysi... by PhongSon Dinh, ChauMyThanh Tran, ThiPhuongHoai Dinh, Hai-Anh Ha, Aigul Utegenova, Awais Ali, Abdulaziz Alamri

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A Systematic Approach to Evaluate the Use of Chatbots in Educational Contexts: Learning Gains, Engagements and Perceptions by Wei Qiu, Chit Lin Su, Nurabidah Binti Jamil, Maung Thway, Samuel Soo Hwee Ng, Lei Zhang, Fun Siong Lim, Joel Weijia Lai

“…Using clustering techniques and statistical analysis, we identified patterns in student–chatbot interaction and linked them to changes in learning outcomes. …”
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