Predicting sleep quality with digital biomarkers and artificial neural networks by Hyolim Lee, Minsung Cho, Sang Won Lee, Sang Won Lee, Sungkyu Park

“…The superior performance of deep learning methods underscores the value of temporal pattern recognition in sleep quality assessment, paving the way for proactive sleep health management in everyday life.…”
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Monte Carlo method for determination and analysis damage to the power system by D. E. Marmysh, U. I. Babaed

“…Based on indicators of the stress state, the algorithms for numerically assessing the dangerous volume and integral damage using the Monte Carlo methods, have been developed. Based on the pattern of distribution of stress fields, the technique of determining the area for randomly generating integration nodes is described. …”
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The Spatial Relationship Characteristics and Differentiation Causes Between Traditional Villages and Intangible Cultural Heritage in China by Xinyan Qian, Yi Yu, Runjiao Liu

“…This study establishes a three-phase framework (“spatial pattern identification–spatial relationship analysis–impact mechanism assessment”) using nationwide data encompassing 8155 TVs and 3587 ICH elements. …”
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Gut mycobiome maturation and its determinants during early childhood: a comparison of ITS2 amplicon and shotgun metagenomic sequencing approaches by Timothy Heisel, Sara Gonia, Abrielle Dillon, Susan L. Hoops, Gabriel A. Al-Ghalith, Daryl Gohl, Sagori Mukhopadhyay, Karen Puopolo, Peter Kennedy, Michael J. Sadowsky, Dan Knights, Dan Knights, Abigail J. Johnson, Jeffrey S. Gerber, Cheryl A. Gale

“…The relatively smaller contribution of fungi to the gut microbiome, as compared to bacteria, has posed technical challenges for the precise characterization of fungal communities (mycobiomes) and limited the ability to longitudinally examine mycobiome development.BackgroundThe aims of this study were to (1) characterize mycobiome maturation and identify clinical determinants of mycobiome compositional variation during the first 2 years of life and (2) compare two sequencing approaches (ITS2 amplicon and whole genome metagenomics) for characterizing mycobiome maturational features. …”
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Analysis of emergency air medical services over 9 years in the Penghu archipelago of Taiwan by Meng-Yu Wu, Chia-Jung Li, Yueh-Tseng Hou, Yu-Long Chen, Fung-Wei Chang, Giou-Teng Yiang

“…This article analyzes dynamic changes in the disease patterns of transferred patients in both EAMS groups, providing a strong foundation for developing local medical systems.…”
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Genome-wide fine-scale recombination rate variation in Drosophila melanogaster. by Andrew H Chan, Paul A Jenkins, Yun S Song

“…In this paper, a new computational method is developed to address this challenge. Through an extensive simulation study, it is demonstrated that the method allows more accurate inference, and exhibits greater robustness to the effects of natural selection and noise, compared to a well-used previous method developed for studying fine-scale recombination rate variation in the human genome. …”
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Community-based conservation with formal protection provides large collateral benefits to Amazonian migratory waterbirds. by João Vitor Campos-Silva, Carlos A Peres, Joseph E Hawes, Mark I Abrahams, Paulo C M Andrade, Lisa Davenport

“…Conservation strategies to reverse these trends are imperative, especially in tropical developing countries, which almost invariably allocate insufficient levels of investment for environmental protection. …”
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Identification of Glucose-6-Phosphate Dehydrogenase Family Members Associated with Cold Stress in Pepper (<i>Capsicum annuum</i> L.) by Jianwei Zhang, Jianxin Fan, Zhiying Tan, Yao Jiang, Xianjun Chen, Qin Yang, Huanxiu Li

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Emotional Interactive Simulation System of English Speech Recognition in Virtual Context by Dan Li

“…Hidden Markov style has been widely used in English speech semantic recognition. The experiments of feature extraction and pattern recognition of speech samples prove that Hidden Markovian has higher recognition rate and better recognition effect in speech emotion recognition. …”
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MESS to live with schizophrenic parental history: A systematic review of developmental checkpoints. by Maryam Khan, Rabia Batool, Uzma Mushtaq, Shakir Iqbal, Sana Shaheen, Aimen Zafar Butt, Anees Ahmed

“…Parental history of schizophrenia, a complex and multifaceted psychological disorder, is recognized as a well-established risk factor in the development of the disorder among offspring. However, the developmental patterns of such children and adolescents before the onset of the problem have not yet been systematically documented. …”
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GNNSeq: A Sequence-Based Graph Neural Network for Predicting Protein–Ligand Binding Affinity by Somanath Dandibhotla, Madhav Samudrala, Arjun Kaneriya, Sivanesan Dakshanamurthy

“…While existing sequence-based machine learning models for binding affinity prediction have shown potential, they lack accuracy and robustness in pattern recognition, which limits their generalizability across diverse and novel binding complexes. …”
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Flash Flood Regionalization for the Hengduan Mountains Region, China, Combining GNN and SHAP Methods by Yifan Li, Chendi Zhang, Peng Cui, Marwan Hassan, Zhongjie Duan, Suman Bhattacharyya, Shunyu Yao, Yang Zhao

“…The SHAP model was then applied to quantify the impact of all the inducing factors on the regionalization results by Dink-Net. The newly developed framework captured the spatial interactions of the inducing factors and characterized the spatial distribution patterns of the factors. …”
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Prediction of mechanical characteristics of shearer intelligent cables under bending conditions. by Lijuan Zhao, Dongyang Wang, Guocong Lin, Shuo Tian, Hongqiang Zhang, Yadong Wang

“…This method leverages TCN's causal and dilated convolution operations to capture long-term sequential features, BiLSTM's bidirectional information processing to ensure the completeness of sequence information, and the SEAttention mechanism to assign adaptive weights to features, effectively enhancing the focus on key features. …”
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Association between age and lung cancer risk: evidence from lung lobar radiomics by Yuwei Li, Chengting Lin, Lei Cui, Chao Huang, Liting Shi, Shiyang Huang, Yue Yu, Xianglan Zhou, Qian Zhou, Kun Chen, Lei Shi

“…This study aims to characterize lung aging using quantitative radiomic features extracted from five delineated lung lobes and explore how age contributes to lung cancer development through these features. …”
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Wildlife management of German colonists in the Don Army region by D. Yu. Shishkina

“…The history of the use of natural resources by the German colonists is considered. Development of the settling system is analyzed, main features of natural resources use and patterns of their evolution are studied.…”
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Morphological markers of secretory activity in prostatic adenocarcinoma by Janković-Veličković Ljubinka, Katić Vuka, Ignjatović Ivan

“…The vast majority of prostatic tumors developing in adult males are adenocarcinomas (ACP). …”
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Automated Deadlift Techniques Assessment and Classification Using Deep Learning by Wegar Lien Grymyr, Isah A. Lawal

“…Furthermore, we designed an application that integrates keypoint visualizations with motion pattern classifications. This tool provides users with valuable feedback on their performance and includes a replay feature for self-assessment, helping lifters refine their technique and reduce the risk of injury.…”
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Distributed denial-of-service (DDoS) on the smart grids based on VGG19 deep neural network and Harris Hawks optimization algorithm by Abdurahim Alhashmi, H. Idwaib, Selçuk Alparslan Avci, Javad Rahebi, Raheleh Ghadami

“…The suggested approach uses the robust feature extraction capability of VGG19-DNN for network traffic pattern analysis to detect abnormal traffic flows indicative of DDoS attacks. …”
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Early Hippocampal Synaptic Loss Precedes Neuronal Loss and Associates with Early Behavioural Deficits in Three Distinct Strains of Prion Disease. by Kathryn J Hilton, Colm Cunningham, Richard A Reynolds, V Hugh Perry

“…There are several different strains of prion disease defined by different patterns of tissue vacuolation in the brain and disease time course, but features of neurodegeneration in these strains have not been extensively studied. …”
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Scleromyxedema concurrent with dermatomyositis and paraproteinemia: A case report by M. N. Starovoitova, O. V. Desinova, N. G. Guseva

“…There was no evidence for scleroderma systematica that was supposed to be present in the patient who had scleroderma-like skin involvement.The authors have repeatedly mentioned the concurrency pattern of scleroderma diseases, which reflects the close mechanisms of their development and hinders the identification of specific nosological entities. …”
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