Enhancing neuromolecular imaging classification in low-data regimes with generative machine learning: A case study in HDAC PET/MR imaging of alcohol use disorder by Tyler N. Meyer, Olga Andreeva, Roger D. Weiss, Wei Ding, Iris Shen, Changning Wang, Ping Chen, Tewodros Mulugeta Dagnew

“…Key hemispheric and subregional cingulate HDAC patterns were also identified as potential biomarkers. …”
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Medical Device Failure Predictions Through AI-Driven Analysis of Multimodal Maintenance Records by Noorul Husna Abd Rahman, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Ayman Khallel Al-Ani, D. Jerline Sheebha Anni, Prabu Mohandas

“…The study proves a reduction in intervention from 18 to 8 features and a reduction in training time from 1660.5 to 901.66 seconds for comprehensive model development.…”
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Language Culture and Land Use: A Case Study of the Dialect Cultural Regions in Anhui Province, China by Xiyu Chen, Guodong Fang, Jia Kang, Bo Hong, Ziyou Wang, Wuyun Xia

“…The unity of material and spiritual civilization is among the important criteria for sustainable development and modernization construction. However, defining the relationship between the two has posed a challenge to researchers. …”
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Classification of Individuals With COVID-19 and Post–COVID-19 Condition and Healthy Controls Using Heart Rate Variability: Machine Learning Study With a Near–Real-Time Monitoring C... by Carlos Alberto Sanches, Andre Felipe Henriques Librantz, Luciana Maria Malosá Sampaio, Peterson Adriano Belan

“…A secondary objective was to assess the feasibility of a near–real-time health monitoring system based on these patterns using wearable-derived HRV data. …”
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Identification of Torsional Fatigue Properties of Titanium Alloy Turned Surfaces and Their Distribution Characteristics by Bin Jiang, Dengyun Wang, Peiyi Zhao, Hongchao Sang

“…A transient pose model, founded on the configuration of a turning tool, is developed to elucidate the evolution of the transition surface during transient turning. …”
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THE ESSENCE OF AN IMAGE IN ENGLISH-AMERICAN IMAGISM: SINGULAR VERSUS UNIVERSAL by Yevheniya S. Chernokova.

“…Hulme) the images still preserve the inner affinity with the signified objects (concepts) as seen in Romantic and Symbolic image “patterns”. And throughout Imagism development, this inner affinity is being weakened until a distant outer resemblance is left. …”
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Research Status and Direction of Chronic Obstructive Pulmonary Disease Complicated with Coronary Heart Disease: A Bibliometric Analysis from 2005 to 2024 by Bian H, Zhu S, Xing W, Qi L, Xue J, Peng X, Jin Z, Zhao H

“…Through keyword clustering analysis, we categorized all keywords into three distinct groups: management strategies for COPD and CHD; diseases associated with both conditions; and epidemiological characteristics concerning their burden—current hotspots include multimorbidity factors such as hypertension and obesity alongside outcomes like diagnosis during COVID-19 pandemic implications within societal contexts are highlighted here too.Conclusion: Presently focused research on COPD coupled with CHD primarily revolves around five key areas: pathogenesis exploration, early diagnostic techniques, COVID-19 infection, dynamics intervention, methodologies, and treatment protocol development efforts. To improve the early detection rate of COPD complicated with CHD, the main development direction in the future is to extract computed tomography (CT) features using imaging omics and establish an early prediction model. …”
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Dynamics of changes in population immunity to the SARS-CоV-2 virus in residents the Irkutsk region in the context of the COVID-19 pandemic by S. V. Balakhonov, V. I. Dubrovina, A. B. Pyatidesyatnikova, D. D. Briukhova, N. O. Kiseleva, K. M. Korytov, V. V. Voitkova, A. N. Perezhogin, M. V. Chesnokova, T. A. Gavrilova, A. A. Seledtcov

“…A comprehensive study of the patterns of development and manifestations of the epidemic process of the new coronavirus infection COVID-19 is an urgent line of research. …”
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Teknik Identifikasi Fitur Berdasarkan Kalimat Pernyataan Kebutuhan dalam Konteks Pengembangan Software Product Line by M Syauqi Haris, Tri Astoto Kurniawan

“…The pattern of writing a requirement sentence with boilerplate requirements is used as the basis for automatically identifying software features using natural language processing (NLP) tools. …”
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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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An AI recognition method for children's clinical operative pain by skin potential (SP) signal by Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li

“…Then, we applied wavelet transform (WT) to capture the time-frequency characteristics of the signals and extract energy features and created a feature set comprising 30 features and selected 10 most relevant ones using the “SelectKBest” function.We compared six algorithms, optimized their parameters, and evaluated the stability and fitting performance of each algorithm. …”
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Stk24 deficiency causes disrupted hippocampal neurogenesis and anxiety-like behavior in mice by Kuan-Yu Wu, Chi-Hui Tsao, Nicole Ching Su, Shin-Meng Deng, Guo-Jen Huang

“…Additionally, Stk24-deficient mice exhibit anxiety-like behavior and altered stress responses, featuring increased hippocampal neuronal activity, dysregulated HPA axis reactivity, and modified expression patterns of glucocorticoid receptor signaling-related genes. …”
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Joint Classification of Hyperspectral and LiDAR Data via Multiprobability Decision Fusion Method by Tao Chen, Sizuo Chen, Luying Chen, Huayue Chen, Bochuan Zheng, Wu Deng

“…With the development of sensor technology, the sources of remotely sensed image data for the same region are becoming increasingly diverse. …”
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Determination of Bioactive Components in Chrysanthemum Tea (Gongju) Using Hyperspectral Imaging Technique and Chemometrics by Yunpeng Wei, Huiqiang Hu, Minghua Yuan, Huaxing Xu, Xiaobo Mao, Yuping Zhao, Luqi Huang

“…Combining hyperspectral imaging (HSI) with key wavelength selection and pattern recognition methods, this study developed a novel approach to estimating the content of bioactive components in chrysanthemums, including the total flavonoids (TFs) and chlorogenic acids (TCAs). …”
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The effectiveness of automatic laparoscopic diagnostics of liver pathology using different methods of digital images classification by D. N. Bayazitov, N. V. Kresyun, А. B. Buzinovsky

“…Aim: to evaluate the effectiveness of the CAD systems developed on the basis of two classifiers – HAAR features cascade and AdaBoost for the detection of cirrhotic and metastatic damages of the liver. …”
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The Role of Core Biopsy versus Vacuum-Assisted Breast Biopsy In Primary Breast Angiosarcoma by Anna Abate, Giulia Querques, Riccardo Giovanazzi, Camillo Di Bella, Valeria Besostri, Mara Gisabella, Cesare Maino, Davide Ippolito, Rocco Corso

“…Primary breast angiosarcoma is a rare malignant vascular neoplasia, characterized by aggressive patterns, poor prognosis, and absence of pathognomonic radiological features. …”
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Autoantibody clusters in rheumatoid arthritis are not driven by antigen specificity or isotype by Johan Rönnelid, Diane van der Woude, René E M Toes, Solbritt Rantapää-Dahlqvist, Heidi Kokkonen, Linda Johansson, Rachel Knevel, Tineke J van Wesemael, Marc P Maurits, Anouk G van Mourik

“…Objective Autoantibodies are a key feature of rheumatoid arthritis (RA). They can be detected years before disease onset, but it is unknown if there is any pattern in the co-occurrence of antigen recognition or isotype profiles. …”
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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

“…To overcome these limitations, we developed GNNSeq, a novel hybrid machine learning model that integrates a Graph Neural Network (GNN) with Random Forest (RF) and XGBoost. …”
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Redefining the Geographic Distribution of Two Cryptic Halictus (Hymenoptera: Halictidae) Species in the Eastern United States by Hannah K. Levenson, Luke R. Tembrock, Frida A. Zink, Kayla A. Mollet, David R. Tarpy

“…These clarified species distributions help us better understand local pollinator communities, associated habitat features, and abiotic conditions amenable to each, as well as provide insights into patterns related to their speciation.…”
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A Reliable Molecular Diagnostic Tool for CA90 (<i>Castanea sativa</i> × <i>Castanea crenata</i>) Hybrid Identification Through SSR by Toufiq Soale Yussif, Nadine Evora da Cruz, Valentim Coelho, Eugénia Gouveia, Altino Branco Choupina

“…We used 35 chestnut samples, including three CA90 controls, hybrids sampled within Portugal, with an aim to define the profiles of the chestnut hybrids and varieties in this study based on band patterns and SSR motifs. We selected and modified nine distinct SSR primers with null allelic features from 43 already developed simple sequence repeat (SSR) markers. …”
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