Transcriptome analysis reveals the sex-switching mechanism of juvenile hermaphroditism in silver pomfret (Pampus argenteus) by Yaya Li, Jiabao Hu, Chongyang Wang, Man Zhang, Youyi Zhang, Yuanbo Li, Mengke Tang, Chunlai Qin, Zukang Feng, Shanliang Xu, Xiaojun Yan, Xubo Wang, Haimin Chen, Yajun Wang

“…Heatmaps were generated to visualize gene expression patterns across developmental stages and samples. Sex hormones concentrations were measured using commercial assay kits to assess their role in gonadal differentiation. …”
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Hereditary colorectal cancer: genetics and screening diagnostics by O. I. Kit, D. I. Vodolazhsky, Yu. A. Gevorkyan, N. V. Soldatkina, F. N. Grechkin, M. A. Kozhushko, I. Yu. Yefimova

“…CRC is one of the most widespread oncologic diseases and takes the leading positions for morbidity and mortality in the pattern of neoplastic diseases in Russia. In 30% of cases disease development is associated to genetic predisposition, however only 5% of all CRC cases are linked to established hereditary syndromes, such as Lynch syndrome (hereditary non-polyposis colorectal cancer), family adenomatous polyposis, MUTYH-associated polyposis, juvenile polyposis, hereditary mixed polyposis syndrome, Peutz-Jeghers syndrome and serrated polyposis syndrome. …”
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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

“…The deep learning (DL) model, a part of the machine learning (ML) technique, has developed as an effectual device in cybersecurity, permitting more effectual recognition of anomalous behaviour and classifying patterns indicative of threats. …”
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The challenge of a late diagnosis of Autism Spectrum Disorder: co-occurring trajectories and camouflage tendencies. a case report of a young Autistic female with Avoidant Restricti... by Sara Passarini, Sara Passarini, Silvia Guerrera, Maria Picilli, Maria Picilli, Elisa Fucà, Laura Casula, Deny Menghini, Sabine Pirchio, Valeria Zanna, Giovanni Valeri, Stefano Vicari, Stefano Vicari

“…Both Autism Spectrum Disorder (ASD) and ARFID are characterized by the two main features of cognitive rigidity and sensory sensitivity, which may complicate differential diagnosis. …”
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Study of complexity factor and stability of dynamical systems in $$f(\mathcal {G})$$ f ( G ) gravity by M. Zeeshan Gul, W. Ahmad, M. M. M. Nasir, Faisal Javed, Orhan Donmez, Bander Almutairi

“…We select the identical complexity factor for the structure as used in the non-static scenario, while considering the analogous criterion for the most elementary pattern of development. This technique involves formulating structural scalars that illustrate the fundamental features of the system. …”
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NeXtMD: a new generation of machine learning and deep learning stacked hybrid framework for accurate identification of anti-inflammatory peptides by Chengzhi Xie, Yijie Wei, Xinwei Luo, Huan Yang, Hongyan Lai, Fuying Dao, Juan Feng, Hao Lv

“…While various machine learning and deep learning approaches have been explored, their limitations in feature representation and model integration hinder the effective discovery of novel AIPs. …”
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Hybrid Android Malware Detection and Classification Using Deep Neural Networks by Muhammad Umar Rashid, Shahnawaz Qureshi, Abdullah Abid, Saad Said Alqahtany, Ali Alqazzaz, Mahmood ul Hassan, Mana Saleh Al Reshan, Asadullah Shaikh

“…Abstract This paper presents a deep learning-based framework for Android malware detection that addresses critical limitations in existing methods, particularly in handling obfuscation and scalability under rapid mobile app development cycles. Unlike prior approaches, the proposed system integrates a multi-dimensional analysis of Android permissions, intents, and API calls, enabling robust feature extraction even under reverse engineering constraints. …”
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Multivariate bidirectional gate recurrent unit for improving accuracy of energy prediction by Quota Alief Sias, Rahma Gantassi, Yonghoon Choi

“…The proposed main model is a multi-variate bidirectional GRU combined with a periodic feature pattern. The proposed model will also be compared with the fundamental bidirectional models of the GRU and LSTM models. …”
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Decoration Samples of Mushaf Rosettes from the Xth-XIIth Centuries in the TSMK F. Edhem Karatay Catalog by Yusuf Bilen, Ayşegül Şenlik

“…The rosettes in Mushafs have been evaluated in terms of composition, color, motif, pattern construction and stylistic features. A detailed examination of the rosettes in question in terms of illumination will be valuable in terms of determining the historical development process of illumination art and its effects on the contemporary understanding of decoration.…”
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Neuropathic Cystinosis: A Rare Case Report by Ahmed Muthana, Rabab Farhan Thejeal, Ikhlas Ali Ahmed

“…The child had a few dysmorphic features such as frontal bossing and wrist widening. …”
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Organization of Medical Care to Children with Road Traffic Injury in the Rostov Region by I.I. Babich, T. V. Vygonskaya, F. G. Sharshov, Ye. A. Spiridonova, S. A. Rumyantsev, E. E. Rostorguyev

“…By keeping in mind the specific features of the emergency medical system existing in the region, the authors propose its further development, by organizing interregional centers on the basis of a number of central regional hospitals for the treatment of children with traumatic lesions (among other things, by allocating pediatric beds in the intensive care units). …”
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APPLICATION OF THE EVOLUTIONARY PARADIGM TO DESIGNING ARCHITEСTURE OF A NEURAL NETWORK FOR RECOGNIZING THE DISTORTED TEXT by Y. A. Bury, D. I. Samal

“…And if today it is impossible to determine the exact architecture of the links in biological neural systems, then at least one can try to reproduce the very process of their formation in order to obtain a more universal algorithm than those developed to the present moment.In opposite to them we form the final structure of the core of the classification system by evolutionary process, taking into account the knowledge about the features of the development and construction of the nervous system of vertebrates.Applying of the approach makes it possible to abstract from the limitations of existing neural network algorithms, caused by the scope of application of specific types of their structures.…”
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MetaTrans-FSTSF: A Transformer-Based Meta-Learning Framework for Few-Shot Time Series Forecasting in Flood Prediction by Jiange Jiang, Chen Chen, Anna Lackinger, Huimin Li, Wan Li, Qingqi Pei, Schahram Dustdar

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Acute Liver Injury Is Independent of B Cells or Immunoglobulin M. by James A Richards, Martina Bucsaiova, Emily E Hesketh, Chiara Ventre, Neil C Henderson, Kenneth Simpson, Christopher O C Bellamy, Sarah E M Howie, Stephen M Anderton, Jeremy Hughes, Stephen J Wigmore

“…<h4>Discussion</h4>IgM deposition appears to be common feature of both human and murine sterile liver injury. …”
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Improving internet of vehicles research: A systematic preprocessing framework for the VeReMi datasetZenodo by Aparup Roy, Debotosh Bhattacharjee, Ondrej Krejcar

“…However, its large size (∼7 GB) and inherent class imbalance pose significant challenges for machine learning model development. This paper presents a preprocessing framework to enhance VeReMi’s usability and relevance. …”
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Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2 by T. Feng, T. Feng, X. Ma, X. Ma, X. Liu, X. Liu, X. Liu

“…Additionally, according to the evolution characteristics of SGLs at different elevations, SGLs above 800 m exhibit a similar evolution pattern. A temporal discrepancy in maximum values for both mean area and mean depth implies differential rates of SGL development in the horizontal and vertical dimensions. …”
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Imaging-based assessment of response to olaparib in platinum-sensitive relapsed ovarian cancer patients by Maria Delgado-Ortet, Maria Delgado-Ortet, Vlad Bura, Vlad Bura, Vlad Bura, Vlad Bura, Ionut-Gabriel Funingana, Ionut-Gabriel Funingana, Ionut-Gabriel Funingana, Ionut-Gabriel Funingana, David Hulse, David Hulse, David Hulse, Leonardo Rundo, Leonardo Rundo, Leonardo Rundo, James D. Brenton, James D. Brenton, James D. Brenton, James D. Brenton, Evis Sala, Evis Sala, Evis Sala, Evis Sala, Evis Sala, Lorena Escudero Sanchez, Lorena Escudero Sanchez

“…Anatomical networks of the metastatic sites were constructed to represent patterns of disease distribution. Volume and first-order radiomic features were computed and compared to different assessments of treatment response.ResultsThe average number of edges per patient in the anatomical networks and total volumetric burden decreased with treatment were measured, differentiating between responders and nonresponders. …”
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Preparation of Porous F-WO3/TiO2 Films with Visible-Light Photocatalytic Activity by Microarc Oxidation by Chung-Wei Yeh, Kee-Rong Wu, Chung-Hsuang Hung, Hao-Cheng Chang, Chuan-Jen Hsu

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Toward precision oncology in LUAD: a prognostic model using single-cell sequencing and WGCNA based on a disulfidptosis relative gene signature by Panpan Li, Han Zhang, Limin Sun, Xiaojuan Wu

“…Immune response characteristics and functional enrichment patterns were further evaluated in these cohorts.ResultsOur study delved into disulfidptosis in LUAD through a series of analyses: scRNA-seq data processing, WGCNA analysis, construction of a prognostic model, evaluation of clinical features and risk, enrichment analysis, mutation landscape assessment, and examination of the tumor microenvironment. …”
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Immune intrinsic escape signature stratifies prognosis, characterizes the tumor immune microenvironment, and identifies tumorigenic PPP1R8 in glioblastoma multiforme patients by Ran Du, Lijun Jing, Denggang Fu

“…Its prognostic independence was assessed after adjusting for clinicopathological features. Receiver operating characteristic (ROC) analysis confirmed the signature’s reliability. …”
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