Risk level prediction for problematic internet use: A digital health perspective by Youngjung Suh, Jinwon Yoo

“…In particular, we identified key predictive features such as physiological indicators, physical activity, sleep quality, and Internet usage patterns, and clearly elucidated the differences in the positive or negative impact of these key features on PIU detection at different severity levels. …”
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The Interval Slope Method for Long-Term Forecasting of Stock Price Trends by Chun-xue Nie, Xue-bo Jin

“…The exponentially segmented pattern (ESP) is introduced here and used to predict the fluctuation of different stock data over five future prediction intervals. …”
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The impact of land use transition on ecosystem service value in Lixiahe area: Multi-scenario simulation based on Markov-FLUS model by CHEN Xinwei, LI Hongbo, ZHANG Wenbo, GE Xiaoping

“…The main form of land use type transformation was from cultivated land to wetland or construction land, and the active transformation areas were concentrated in the central and eastern and western boundary areas. (2) The ecosystem service value of the study area in 1990, 2005 and 2020 showed a year-on-year increasing trend, and the spatial pattern was relatively stable. Overall, it presented a distribution feature of “low on the periphery and high in the center”. (3) The Markov-FLUS model has strong applicability in the region. …”
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Erodabilidad y erosión hídrica potencial en un sector de la cuenca del rio Otún - Colombia by Madero Morales Edgar Enrique, Bergsma Eelco

“…To predict the advance of rill and interril erosion in bare soil, Bergsma (1989) developed a semicuantitative system with this purpose, and what is related to the presence and frequency of six microtopography soil surface features after each rain and at the end of tillage: original clods, eroding clods, depressional areas, linear flow pattern of shallow channels and deeper rills, and coverage (vegetation, gravel, etc.); each feature has a length less than 25 cm. …”
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Linguistic Analysis of Unplanned Discourse in David Sedaris “Calypso” by Binin Mustafa Saeed, Rozgar Yousif Omar

“…This study thoroughly examines a range of grammatical features and patterns seen in conversational discourse. …”
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Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With Tinnitus by Han Lv, Jinduo Liu, Qian Chen, Zuozhen Zhang, Zhaodi Wang, Shusheng Gong, Junzhong Ji, Zhenchang Wang

“…This provided critical insights into the gain theory of tinnitus development. The altered pattern of functional information orchestration, represented by a higher degree of hypervigilance-driven attention and enhanced multisensory integration, may explain poor clinical outcomes. …”
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Epidemiological assessment of risk factors of infectious complications at wounded and victims with severe injuries by A. A. Kuzin, S. A. Svistunov, P. I. Ogarkov, D. A. Zharkov

“…In this regard it is important to reveal epidemiological features and patterns of manifestations of the infections connected with delivery of health care to define tendencies of epidemic process, and also to predict influence of risk factors on development of infectious complications in the victims who are on treatment in specialized surgical hospital.…”
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Prediction of radiosensitivity in non-small cell lung cancer based on computed tomography and tumor genomics: a multiple real world cohort study by Peimeng You, Qiaxuan Li, Yu Lei, Chuhao Xu, Daipeng Xie, Lintong Yao, Jiaxin Yuan, Junyu Li, Haiyu Zhou

“…In this research, based on single cell sequence data we used radiomics to help identify and screen feature signatures to distinguish varying radiosensitivity in different regions of the target area of non-small cell lung cancer can provide a new pattern to assess sensitivity of radiotherapy and assist in clinical decision-making. …”
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Diagnostic imaging modalities in the study of hepatic alveolar echinococcosis: A review of literature by Iliar Baudinov, Aliya Kadyrova, Kubat Ibraimov, Prabha K C, Bakhadyr Bebezov, Sezdbek Aitbaev, Tilek Umetaliev, Kursanbek Raimkulov

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Classifying Emotionally Induced Pain Intensity Using Multimodal Physiological Signals and Subjective Ratings: A Pilot Study by Eun-Hye Jang, Young-Ji Eum, Daesub Yoon, Sangwon Byun

“…SC features emerged as key biomarkers, while valence and arousal offered complementary insights, supporting the development of personalized, psychologically informed pain assessment systems.…”
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Assessment of economic well-being in South Africa based on remote sensing transfer learning by L. Wang, L. Wang, T. Long, T. Long, E. Adam

“…CNNS are trained to predict nighttime light intensity, act as proxies for economic activity, while learning to recognize environmental features. Patterns indicating economic activity and environmental conditions can be identified from daytime images alone. …”
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Hierarchical Embedded System Based on FPGA for Classification of Respiratory Diseases by Trong-Thanh Han, Kien Le Trung, Phuong Nguyen Anh, Anh Do Trung

“…Objectives: This research aims to design and develop a hierarchical embedded system that utilizes respiratory sound features for diagnosing COPD and other respiratory disorders. …”
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3D bioprinted unidirectional neural network and its application for alcoholic neurodegeneration by Mihyeon Bae, Joeng Ju Kim, Jinah Jang, Dong-Woo Cho

“…This study proposes the development of a 3D bioprinted engineered neural network (BENN) model to replicate the physiological features of the brain, suggesting its application as a tool for studying neurodegenerative diseases. …”
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In vivo electrophysiology recordings and computational modeling can predict octopus arm movement by Nitish Satya Sai Gedela, Ryan D. Radawiec, Sachin Salim, Julianna Richie, Cynthia Chestek, Anne Draelos, Galit Pelled

“…This study demonstrates how real-time motor behaviors can be predicted and distinguished, contributing to the development of brain-machine interfaces. The ability to accurately model and predict complex movement patterns has broad implications for advancing technologies in robotics, neuroprosthetics, and artificial intelligence, paving the way for more sophisticated and adaptable systems.…”
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Regularities of crustal faulting and tectonophysical indicators of fault metastability by Yu. L. Rebetsky

“…The seismic data show that in the source of a large earthquake, displacement develops as a running band (‘rolling-carpet’ principle). …”
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Brain Tumour Segmentation and Grading Using Local and Global Context-Aggregated Attention Network Architecture by Ahmed Abdulhakim Al-Absi, Rui Fu, Nadhem Ebrahim, Mohammed Abdulhakim Al-Absi, Dae-Ki Kang

“…Specifically, a global context attention network is developed for capturing multiple-scale features, and a local context attention network is designed for specific tasks. …”
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Bioinformatics and Functional Validation of <i>CqPRX9L1</i> in <i>Chenopodium quinoa</i> by Hongxia Guo, Linzhuan Song, Yufa Wang, Li Zhao, Chuangyun Wang

“…As a plant-specific peroxidase family, class III peroxidase (PRX) plays an important role in plant growth, development, and stress response. In this study, a preliminary functional analysis of <i>CqPRX9L1</i> was conducted. …”
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An Informer-based multi-scale model that fuses memory factors and wavelet denoising for tidal prediction by Peng Lu, Yuchen He, Wenhui Li, Yuze Chen, Ru Kong, Teng Wang

“…Tidal time series are affected by a combination of astronomical, geological, meteorological, and anthropogenic factors, revealing non-stationary and multi-period features. The statistical features of non-stationary data vary over time, making it challenging for typical time series forecasting models to capture their dynamism. …”
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Acceptability of an AI-enabled family module in a mobile app for enhanced diabetes management: Patient and family perspectives by Sungwon Yoon, Rena Lau, Yu Heng Kwan, Huiyi Liu, Razeena Sahrin, Jie Kie Phang, Yichi Zhang, Nicholas Graves, Lian Leng Low

“…Objective To explore the acceptability of family support through an AI-enabled mobile app and identify preferences for its novel family module features among patients with type 2 diabetes (T2DM) and family members. …”
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Modelling the species-area relationship using extreme value theory by Luís Borda-de-Água, M. Manuela Neves, Luise Quoss, Stephen P. Hubbell, Filipe S. Dias, Henrique M. Pereira

“…Despite its significance, the theoretical foundations of this pattern remain incompletely understood. Here, we develop a theory for the species-area relationship using extreme value theory, and show that the species-area relationship is a mixture of the distributions of minimum distances to a starting sampling focal point for each individual species. …”
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