Computational characterization of modes of transcriptional regulation of nuclear receptor genes. by Yogita Sharma, Chandra Sekhar Reddy Chilamakuri, Marit Bakke, Boris Lenhard

“…We find that nuclear receptor genes involved in developmental roles show strong evidence of long-range mechanism of transcription regulation with distinct cis-regulatory content they feature clusters of highly conserved non-coding elements distributed in regions spanning several Megabases, long and multiple CpG islands, bivalent promoter marks and statistically significant higher enrichment of enhancer mark around their gene loci. …”
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Determinants driving the evolution of new multiple sclerosis lesions into chronic active or remyelinated states by G. Boffa, C. Razzetta, D. Boccia, S. Garbarino, E. Cipriano, A. Uccelli, C. Lapucci, M. Piana, M. Inglese

“…At 12 months, 13 % lesions were classified as PRL and 45 % as ISO. The key predictive features were similar for both classes (lesion volume, patient age and sex) except for the pattern of contrast enhancement (which was selected for PRL classification) and lesion topography (which was selected for ISO classification). …”
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A Synoptic- and Remote Sensing-based Analysis of a Severe Dust Storm Event over Central Asia by Parya Broomandi, Kaveh Mohammadpour, Dimitris G. Kaskaoutis, Aram Fathian, Sabur F. Abdullaev, Vladimir A. Maslov, Amirhossein Nikfal, Ali Jahanbakhshi, Bakhyt Aubakirova, Jong Ryeol Kim, Alfrendo Satyanaga, Alireza Rashki, Nick Middleton

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Metabolic syndrome and pancreatic lesions by O. S. Shifrin, I. A. Sokolina, A. E. Leonovich, M. A. Ashitko, T. L. Lemina, A. V. Korolyov

“…Aim of investigation. To study features of pancreatic involvement in patients with metabolic syndromeMaterial and methods. …”
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Peculiarities of forming quality parameters of commercial products of cutting lettuce (<i>Lactuca sativa var. capitata L.</i>) depending on the method of cultivation by Н. В. Лещук, О. Б. Барбан, О. П. Башкатова

“…Purpose. To investigate features of commercial head quality formation in varieties of cutting lettuce (Lactuca sativa var. capitata L.) for different growing methods. …”
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Using 3D observations with high spatio-temporal resolution to calibrate and evaluate a process-focused cellular automaton model of soil erosion by water by A. Eltner, D. Favis-Mortlock, O. Grothum, M. Neumann, T. Laburda, P. Kavka

“…Such calibrations are an essential complement to the development of erosion models which are able to forecast the impacts of future global change. …”
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TWO DECADES OF ARCHAEOLOGICAL RESEARCH IN THE SOUTHERN DISTRICT OF THE CITY OF TROPAEUM TRAIANI (4th-6th CENTURIES AD.) AND OTHER DISCOVERIES. MAJOR SCIENTIFIC RESULTS by Gabriel Mircea TALMAȚCHI

“…Archaeological researches from the last decade, conducted in the southern neighborhood of the late Roman city Tropaeum Traiani, revealed a new civil imposing edifice, having a rectangular and axial plan, which corresponds to the „pattern” of the big Roman house, Domus type. Located west of cardo, this building brings new general and particular information regarding the plan metric and functional architectural development of such edifices, during the 4th-6th centuries AD. …”
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Identify suitable artificial groundwater recharge zones using hybrid deep learning models by Navaz Khalillollahi, Mohsen Isari, Hamed Faroqi, Kaywan Othman Ahmed, Kamran Nobakht Vakili, Miklas Scholz, Saad Sh. Sammeng

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GradCAM-PestDetNet: A deep learning-based hybrid model with explainable AI for pest detection and classification by Ramitha Vimala, Saharsh Mehrotra, Satish Kumar, Pooja Kamat, Arunkumar Bongale, Ketan Kotecha

“…The GradCAM-PestDetNet methodology utilizes object detection models like YOLOv8m, YOLOv8s and YOLOv8n, alongside transfer learning techniques such as VGG16, ResNet50, EfficientNetB0, MobileNetV2, InceptionV3 and DenseNet121 for feature extraction. Additionally, Vision Transformers (ViT) and Swim Transformers were explored for their ability to process complex data patterns. …”
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MobilitApp: A Deep Learning-Based Tool for Transport Mode Detection to Support Sustainable Urban Mobility by Gerard Caravaca Ibanez, Luis J. de la Cruz Llopis, Adrian Catalin Diaconeasa, Alberto Bazan Guillen, Monica Aguilar Igartua

“…By analyzing travel patterns, transport modes, and mode-switching behaviors, it delivers actionable insights to city planners, aiding in the enhancement of urban mobility, promotion of sustainable development, and transition to greener cities.…”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…By integrating wavelet-based feature extraction with machine learning-driven analysis, this approach enhances the ability to detect complex wave propagation patterns, leading to more precise subsurface modeling. …”
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Navigating cognitive boundaries: the impact of CognifyNet AI-powered educational analytics on student improvement by Mrim M. Alnfiai, Faiz Abdullah Alotaibi, Mona Mohammed Alnahari, Nouf Abdullah Alsudairy, Asma Ibrahim Alharbi, Saad Alzahrani

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Identification of hub genes in myocardial infarction by bioinformatics and machine learning: insights into inflammation and immune regulation by Juan Yang, Xiang Li, Li Ma, Jun Zhang

“…The CIBERSORT algorithm was utilized to evaluate immune cell infiltration patterns. Finally, potential therapeutic targets were explored through drug-gene interaction analysis using the DGIdb database.ResultsAfter correcting for batch effects across datasets, we identified 687 differentially expressed genes (DEGs), including 405 upregulated and 282 downregulated genes. …”
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Wind load impact on tall building facades: damage observations during severe wind events and wind tunnel testing by Omar Metwally, Haitham A. Ibrahim, Amal Elawady, Amal Elawady, Ioannis Zisis, Ioannis Zisis, Arindam Gan Chowdhury, Arindam Gan Chowdhury

“…As global urbanization accelerates, the construction of tall buildings has surged, becoming a defining feature of modern cityscapes. Tall buildings, while contributing to economic growth and urban development, face substantial risks from extreme wind events, such as hurricanes and downbursts. …”
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DTCMMA: Efficient Wind-Power Forecasting Based on Dimensional Transformation Combined with Multidimensional and Multiscale Convolutional Attention Mechanism by Wenhan Song, Enguang Zuo, Junyu Zhu, Chen Chen, Cheng Chen, Ziwei Yan, Xiaoyi Lv

“…Nevertheless, when dealing with long wind-power sequences, their quadratic computational complexity (O(L²)) leads to low efficiency, and their global attention mechanism often fails to capture local periodic features accurately, tending to overemphasize redundant information while overlooking key temporal patterns. …”
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Using machine learning to identify Parkinson’s disease severity subtypes with multimodal data by Hwayoung Park, Changhong Youm, Sang-Myung Cheon, Bohyun Kim, Hyejin Choi, Juseon Hwang, Minsoo Kim

“…Results We identified three PD severity subtypes, each exhibiting different patterns of clinical severity, with the severity increasing as it progressed from clusters 1 to 3. …”
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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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Supply-Demand Matching Evaluation and Coupling Coordination of Cultural Ecosystem Services in Urban Park Green Spaces by Yang YU, Xian YANG, Xiang LI, Liyuan QIAN, Sixiang ZHOU

“…Meanwhile, the comprehensive demand level for CES displays an aggregated cluster distribution pattern, where high-demand zones are located in the central and southern part of the main urban area with high population density, strong human activity, intensive urban development, and well-developed facilities, while low-demand zones are found in the less densely populated and developed northeastern part. …”
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Ependymosarcoma presenting as recurrence in a primary left parieto-occipital ependymoma by Pallavi Prasad, Harshita Baranwal, Neelima Gupta

“…It may develop in an ependymoma, in addition to astrocytomas. …”
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Assessing training needs and influencing factors among personnel at centers for disease control and prevention in northeast China: a cross-sectional study framed by SDT and TPB usi... by Kexin Wang, Peng Wang, Min Wei, Yanping Wang, Huan Liu, Ruiqian Zhuge, Qunkai Wang, Nan Meng, Yiran Gao, Yuxuan Wang, Lijun Gao, Jingjing Liu, Xin Zhang, Mingli Jiao, Qunhong Wu

“…When formulating training plans, priority should be given to how to improve on-job training satisfaction and design a more targeted competency patterns tailored training curriculum. Moreover, organizational incentives aimed at motivating trainees and integrating career development goals into training program design are important. …”
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