Optimizing DNA Sequence Classification via a Deep Learning Hybrid of LSTM and CNN Architecture by Elias Tabane, Ernest Mnkandla, Zenghui Wang

“…A hybrid network combining long short-term memory (LSTM) and convolutional neural networks (CNN) was developed to extract long-distance dependencies as well as local patterns from DNA sequences. …”
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Integrating pyramid vision transformer and topological data analysis for brain tumor by Dhananjay Joshi, Bhupesh Kumar Singh, Kapil Kumar Nagwanshi, Nitin S. Choubey

“…The approach also incorporates an adaptive sampling rate with hierarchical dynamic position embeddings for context-aware multi-scale feature extraction. Feature channels are partitioned into specialized groups via an offset group mechanism to improve feature diversity, and a hierarchical deformable attention strategy further integrates local and global contexts to yield refined feature representations. …”
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Development of anticipatory coarticulation of /u/ in typically Malayalam speaking children in the age range of 3-6 years by Litna A. Varghese

“…Studies in the past have shown that children have more coarticulation than adults; adults have more coarticulation than children; children and adult have similar coarticulatory patterns. Malayalam is a Dravidian language with extra lip rounding feature and also with five place of nasal articulation. …”
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Development of anticipatory coarticulation of /u/ in typically Malayalam speaking children in the age range of 3-6 years by Litna A. Varghese

“…Studies in the past have shown that children have more coarticulation than adults; adults have more coarticulation than children; children and adult have similar coarticulatory patterns. Malayalam is a Dravidian language with extra lip rounding feature and also with five place of nasal articulation. …”
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A long tail of truth and beauty: A zigzag pattern of feather formation determines the symmetry, complexity, and beauty of the peacock’s tail [version 3; peer review: 1 approved, 2... by Santosh Jagadeeshan, Rama Singh

“…Methods We used museum specimens to examine the anatomical plan underlying feather development responsible for the train’s symmetry. We developed a model based on an alternate arrangement of primordial feather buds during development and locations of concentric circles of eyespot distribution using the pattern on the train as a template. …”
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A long tail of truth and beauty: A zigzag pattern of feather formation determines the symmetry, complexity, and beauty of the peacock’s tail [version 2; peer review: 1 approved, 2... by Santosh Jagadeeshan, Rama Singh

“…Methods We used museum specimens to examine the anatomical plan underlying feather development responsible for the train’s symmetry. We developed a model based on an alternate arrangement of primordial feather buds during development and locations of concentric circles of eyespot distribution using the pattern on the train as a template. …”
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The Effect of Hydraulic-Natural Fracture Networks on the Waterflooding Development in a Multilayer Tight Reservoir: Case Study by Gang Hui, Shengnan Chen, Youjing Wang, Fei Gu

“…This practical development strategy provides insights for further development of likewise heterogeneous tight sandstone reservoirs.…”
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Development of a hip osteoarthritis index for gait quality assessment: a data-driven comparative study by Kamyar Rahmani, Mansour Davoudi, Mohammad Sajjad Alamdar, Rezvan Nasiri

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Diffuse pediatric high-grade glioma of methylation-based RTK2A and RTK2B subclasses present distinct radiological and histomolecular features including Gliomatosis cerebri phenotyp... by Arnault Tauziède-Espariat, Lea L. Friker, Gunther Nussbaumer, Brigitte Bison, Volodia Dangouloff-Ros, Alice Métais, David Sumerauer, Josef Zamecnik, Martin Benesch, Thomas Perwein, Dannis van Vuurden, Pieter Wesseling, Andrés Morales La Madrid, Maria Luisa Garrè, Manila Antonelli, Felice Giangaspero, Torsten Pietsch, Dominik Sturm, David T. W. Jones, Stefan M. Pfister, Yura Grabovska, Alan Mackay, Chris Jones, Jacques Grill, Yassine Ajlil, André O. von Bueren, Michael Karremann, Marion Hoffmann, Christof M. Kramm, Robert Kwiecien, David Castel, Gerrit H. Gielen, Pascale Varlet

“…In conclusion, pedHGG-RTK2A/B tumors are characterized by highly diffuse-infiltrating growth patterns and specific radiological and histo-molecular features. …”
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Deep Learning-Driven Beam-Steering for Dual-Polarized 28 GHz Antenna Arrays in 5G Wireless Networks by Siti Zainab M. Zainab Hamzah, Norun Farihah Abdul Malek, Sarah Yasmin Mohamad, Farah Nadia Mohd Isa, Teddy Surya Gunawan, Kuo-Sheng Chin

“…We propose a method for synthesizing the array antenna’s radiation pattern using an active element pattern-deep neural network (AEP-DNN). …”
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Development and Validation of a Brain Aging Biomarker in Middle-Aged and Older Adults: Deep Learning Approach by Zihan Li, Jun Li, Jiahui Li, Mengying Wang, Andi Xu, Yushu Huang, Qi Yu, Lingzhi Zhang, Yingjun Li, Zilin Li, Xifeng Wu, Jiajun Bu, Wenyuan Li

“…We proposed a novel brain vision graph neural network (BVGN), incorporating neurobiologically informed feature extraction modules and global association mechanisms to provide a sensitive deep learning–based imaging biomarker. …”
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CANini: In-Depth Traffic Analysis for Design and Robustness Evaluation of DTree-Based IDS in Automotive Networking Systems by Nicasio Canino, Pierpaolo Dini, Stefano Mazzetti, Daniele Rossi, Sergio Saponara

“…Our analysis offers a comprehensive and extensive characterization of CAN network traffic, examining specifically inter-frame arrival times and patterns in data bytes. We proceeded to test these features by designing a simple anomaly-based IDS that employs a multiclass Decision Tree classifier. …”
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Subcortical Brain Segmentation Based on a Novel Discriminative Dictionary Learning Method and Sparse Coding by Xiang Li, Ying Wei, Yunlong Zhou, Bin Hong

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Mapping Fluvial Valleys on the Flanks of Alba Mons: Implications for Amazonian Watershed Development in Northern Tharsis, Mars by Stephen P. Scheidt, David A. Crown, Daniel C. Berman

“…Mapping shows well‐preserved drainage patterns with morphometry and hypsometry that support a prolonged history of erosion and development into mature drainage networks. …”
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Emergence of planar cell polarity from the interplay of local interactions and global gradients by Divyoj Singh, Sriram Ramaswamy, Mohit Kumar Jolly, Mohd Suhail Rizvi

“…While the roles of various molecules – broadly classified into ‘global’ and ‘local’ modules – have been well-studied, their necessity and sufficiency in explaining PCP and connecting their perturbations to experimentally observed patterns have not been examined. Here, we develop a minimal model that captures the proposed features of PCP establishment – a global tissue-level gradient and local asymmetric distribution of protein complexes. …”
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Development of a clinical decision support system for breast cancer detection using ensemble deep learning by Jasjeet Kaur Sandhu, Chetna Sharma, Amandeep Kaur, Saroj Kumar Pandey, Anurag Sinha, J. Shreyas

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Research on innovative development path of oil and gas pipeline networks to facilitate the construction of new energy systems by Zhen WANG, Yinghao KONG

“…Methods By delving into China's current status concerning the construction and operation of oil and gas pipeline networks, alongside examining the typical features and developmental patterns of new energy systems, this paper sheds light on the functional orientation of oil and gas pipeline networks within new energy systems. …”
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Development and validation of a programmed cell death index to predict the prognosis and drug sensitivity of gastric cancer by Feizhi Lin, Xiaojiang Chen, Chengcai Liang, Ruopeng Zhang, Guoming Chen, Ziqi Zheng, Bowen Huang, Chengzhi Wei, Zhoukai Zhao, Feiyang Zhang, Zewei Chen, Shenghang Ruan, Yongming Chen, Runcong Nie, Yuangfang Li, Baiwei Zhao

“…AimProgrammed cell death (PCD) critically influences the tumor microenvironment (TME) and is intricately linked to tumor progression and patient prognosis. This study aimed to develop a novel prognostic indicator and marker of drug sensitivity in patients with gastric cancer (GC) based on PCD.MethodsWe analyzed genes associated with 14 distinct PCD patterns using bulk transcriptome data and clinical information from TCGA-STAD for model construction with univariate Cox regression and LASSO regression analyses. …”
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Visualization of FDA Adverse Drug Reaction Reports: Development and Usability Study of the VisDrugs Web Server by Renjun Yang, Nuoya Yin, Yang Zhang, Francesco Faiola

“…ObjectiveThis study aimed to develop VisDrugs, a web-based platform that simplifies ADR visualization and comparison using FAERS data. …”
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Unraveling genetic predisposition and oxidative stress in vitiligo development and the role of artificial intelligence (AI) in diagnosis and management by Kocić Hristina, Lotti Torello, Jevtović-Stoimenov Tatjana, Wollina Uwe, Valle Yan, Lukić Stevo, Klisić Aleksandra

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