Differentiating biomarker features and familial characteristics of B-SNIP psychosis Biotypes by David A. Parker, Rebekah L. Trotti, Jennifer E. McDowell, Sarah K. Keedy, Matcheri S. Keshavan, Godfrey D. Pearlson, Elliot S. Gershon, Elena I. Ivleva, Ling-Yu Huang, Kodiak Sauer, S. Kristian Hill, John A. Sweeney, Carol A. Tamminga, Brett A. Clementz

“…Canonical discriminant analysis described composite bio-factors that simplified group comparisons: “Pattern-2” (high antisaccade errors, low BACS, high ongoing EEG) captured Biotype-2, “Pattern-1” (low ERP amplitudes, low intrinsic EEG) captured Biotype-1, and “Pattern-3” (low frontal P3 complex, accentuated S2 ERP, faster saccadic reaction times) captured Biotype-3. …”
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SEM Deep Learning Multiclass Noise Level Classification With Data Augmentation by Kai Liang Lew, Kok Swee Sim, Shing Chiang Tan

“…Three different SEM datasets are used, namely the NFFA-EUROPE dataset, EPFL CVLab EM dataset, and Biofilms SEM dataset. The proposed network achieved the highest evaluation in accuracy (92.76%), precision (92.77%), recall (92.76%), and F1 score (92.74%), as well as the shortest training time in the NFFA-EUROPE dataset. …”
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Analysis of hot spots and trends in urban resilience research based on CiteSpace by Dong Yanan, Wang Fei

“…This study integrates bibliometric knowledge graphs with the theory of discipline evolution dynamics, employing CiteSpace software to analyze international literature data since 1990, revealing the research stages and evolution patterns. The findings show that: (1) International research has consistently grown since the 1990s, forming a research framework centered around ecological construction and sustainable development, with a core author network demonstrating close collaboration; (2) The evolution of the discipline exhibits a gradient development, with research entering a mature stage and a multi-dimensional research paradigm emerging; (3) Current research primarily focuses on ecological construction and sustainable development, with a strong emphasis on empirical studies, while also showing signs of maturation as it diversifies into various directions. …”
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Identifying Socio-Technical Risks in Open-Source Software for Scholarly Communications: Tools, Metrics, and Opportunities for Libraries to Support Sustainable Development by Pierre Lasou, Tomasz Neugebauer, Pamela Carson

“…While all aspects of OSS projects may be evaluated at the project or network/ecosystem level, addressing the actors, software, or orchestration (Linåker et al., 2022), community evaluation that looks at the interaction patterns between project contributors is the practical focus of this research paper since there are multiple human factors that librarians who may not be software developers can impact. …”
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Investigation of parallel joint density thresholds for granite tunnel failure based on physical model experiments and multiscale monitoring techniques by Huai-Sheng Xu, Shao-Jun Li, Ding-Ping Xu, Quan Jang, Liu Liu, Min-Zong Zheng, Xu-Feng Liu

“…Their failure mode was primarily joint-controlled, featuring macro-block structural failure as the dominant pattern and extensive stress-weakened zones due to parallel joint network effects. …”
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A systematic review on sleep stage classification and sleep disorder detection using artificial intelligence by Tayab Uddin Wara, Ababil Hossain Fahad, Adri Shankar Das, Md Mehedi Hasan Shawon

“…Therefore, a sleep study that includes sleep patterns and disorders is crucial to enhancing our knowledge about individual health status. …”
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Novel dual gland GAN architecture improves human protein localization classification using salivary and pituitary gland inspired loss functions by Hanaa Salem Marie, Moatasem M. Draz, Waleed Abd Elkhalik, Mostafa Elbaz

“…The SG-Loss specifically targets discontinuities in protein expression patterns, while PG-Loss maintains biological plausibility by enforcing organelle-specific constraints learned from annotated training data. …”
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Low-hit frequency-hopping communication systems for power Internet of things random access by Shu DU, Mei MA, Bo ZHAO, Qi ZENG, Xing LIU

“…The communication network is an essential component of the data acquisition and information transmission in power Internet of things (IoT).To meet the development requirements of multiple power service in the future, the wireless communication technique with flexible-access and high scalability is one of the development directions for power IoT.Due to the features of large-scale access, random access time, high security and reliability for information transmission of power IoT, a frequency-hopping (FH) technique with low-hit rate for random access was proposed.The construction algorithm of such FH pattern was based upon the combination and shift operation of conventional FH sequences.By the theoretical arithmetic and numerical simulation, the properties of the proposed FH pattern and the error-rate of the FH-based power IoT were evaluated.The analysis reveals that the new class of FH sequences and the system can meet the requirements of large-scale access and highly reliable communication for the power IoT, which has good application prospects.…”
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A Temporal-Spectral Fused and Attention-Based Deep Model for Automatic Sleep Staging by Guidan Fu, Yueying Zhou, Peiliang Gong, Pengpai Wang, Wei Shao, Daoqiang Zhang

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Altered brain dynamics in post-stroke cognitive and motor dysfunction by Xiaoying Liu, Guihua Song, Xiaoyun Zhuang, Ying Zhang, Xiaoyang Wang, Yin Qin, Yin Qin

“…Hidden markov model (HMM) was employed for the rs-fMRI data, aiming to identify the repetitive states of brain activity while further assessing the temporal properties and activation patterns in PSCMD. Additionally, the correlation between the HMM state characteristics and clinical scale scores was systematically evaluated.ResultsFive HMM states were ultimately identified. …”
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What are the future directions for microplastics characterization? A regex-llama data mining approach for identifying emerging trends by FERNANDO GOMES, SHEKHAR BHANSALI, FABÍOLA MARANHÃO, VIVIANE VALLADÃO, KARINE VELASCO

“…We improve the detection and understanding of both established and new techniques by integrating regex-based pattern detection with the Llama 3.2:3b language model. …”
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The intervention of music education on adolescents’ subjective well-being from the perspective of sustainable development: a bibliometric review based on literature from 2000 to 20... by Lan Shen, Weijia Yang, Weijia Yang

“…Findings reveal a two-stage “hiatus–surge” pattern in publication trends; the emergence of a collaborative network among core authors, albeit with an imbalanced geographic distribution dominated by North America and Europe; and five principal thematic clusters following a three-stage spiral progression—from targeted education interventions for special groups, through general adolescent development, to professional public-health services. …”
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Energy-Efficient Fall-Detection System Using LoRa and Hybrid Algorithms by Manny Villa, Eduardo Casilari

“…This study introduces a hybrid system that integrates a threshold-based model for preliminary detection with a deep learning-based approach that combines a CNN (Convolutional Neural Network) for spatial feature extraction with a LSTM (Long Short-Term Memory) model for temporal pattern recognition, aimed at improving classification accuracy. …”
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Research on load labeling method for big data in novel power system by ZHANG Ximing, XU Huan, YANG Qiuyong

“…By proposing a flexible framework to mark load patterns and usage habits in a non-intrusive way, the composite data tag file is used for smart grid functions such as demand response, energy management and load monitoring. …”
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Physics-Informed Learning Framework for Lower Limb Kinematic Prediction With Sparse Sensors and Its Application in Chronic Stroke by Yan Guo, Yusuke Sekiguchi, Wen Zeng, Satoru Ebihara, Dai Owaki, Mitsuhiro Hayashibe

“…Stroke survivors, due to unilateral motor impairments, often exhibit asymmetric gait patterns, significantly altering lower limb joint kinematics. …”
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Heuristic based federated learning with adaptive hyperparameter tuning for households energy prediction by Liana Toderean, Mihai Daian, Tudor Cioara, Ionut Anghel, Vasilis Michalakopoulos, Efstathios Sarantinopoulos, Elissaios Sarmas

“…A genetic algorithm-based hyperparameter optimization method reduces the computational load on edge nodes by efficiently exploring different configurations and using only the most promising ones for edge nodes’ cross-validation. The evaluation results demonstrate a significant improvement in average prediction accuracy and better capturing of energy patterns compared to the federated averaging approach. …”
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Low-hit frequency-hopping communication systems for power Internet of things random access by Shu DU, Mei MA, Bo ZHAO, Qi ZENG, Xing LIU

“…The communication network is an essential component of the data acquisition and information transmission in power Internet of things (IoT).To meet the development requirements of multiple power service in the future, the wireless communication technique with flexible-access and high scalability is one of the development directions for power IoT.Due to the features of large-scale access, random access time, high security and reliability for information transmission of power IoT, a frequency-hopping (FH) technique with low-hit rate for random access was proposed.The construction algorithm of such FH pattern was based upon the combination and shift operation of conventional FH sequences.By the theoretical arithmetic and numerical simulation, the properties of the proposed FH pattern and the error-rate of the FH-based power IoT were evaluated.The analysis reveals that the new class of FH sequences and the system can meet the requirements of large-scale access and highly reliable communication for the power IoT, which has good application prospects.…”
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Diagnosis of depression based on facial multimodal data by Nani Jin, Renjia Ye, Peng Li

“…Through the multi-modal feature fusion, the model can effectively capture different feature patterns related to depression.ResultsWe conduct extensive experiments on the publicly available clinical dataset, the Extended Distress Analysis Interview Corpus (E-DAIC). …”
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Enhancing Creativity and Validation in Explanatory Deep Learning-Based Symbolic Music Generation: A Hybrid Approach With LSTM and Genetic Algorithms by Ahmad Zainul Fanani, Arry Maulana Syarif, Ika Novita Dewi, Abdul Karim

“…These findings support the effectiveness of the proposed model in fostering creative exploration of new tonal patterns aligned with the target genre.…”
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A comparison of floating catchment area parameters with applications to a dataset of clinics enrolled in a statewide child and adolescent psychiatric consultation program by Jocelyn Hunyadi, Jocelyn Hunyadi, Lara S. Savas, Kehe Zhang, Kehe Zhang, Jeanette E. Deason, Ryan Ramphul, Melissa F. Peskin, Erica L. Frost, Cici Bauer, Cici Bauer

“…Our study aims to (a) perform a comparative analysis of 2SFCA input parameters on patterns of spatial accessibility and (b) identify a 2SFCA method to guide evaluation of equitable allocation of scarce mental health resources for children and adolescents in Texas.MethodsWe used the Texas Child Psychiatry Access Network (CPAN) data to assess county-level, regional patterns in access to pediatric psychiatric care, and to identify areas to expand CPAN to mitigate access-related disparities. …”
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