A multiparametric perspective on C6 and F98 cell lines in orthotopic rat models for glioblastoma research by Carlos Caro, Nuria Arias-Ramos, Jesús David Urbano-Gámez, Raquel González-Alday, Pilar López-Larrubia, María Luisa García-Martín

“…Moreover, the two cell lines showed different responses to the host environment, with F98 consistently forming infiltrative tumors across rat strains, while C6 showed variability in tumor growth patterns, suggesting a greater dependence on the host microenvironment. …”
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Decoding stimulus-specific regulation of promoter activity of p53 target genes by Flavia Vigliotti, Nicolai Engelmann, Mark Sinzger-D’Angelo, Heinz Koeppl, Heinz Koeppl, Alexander Loewer, Alexander Loewer

“…To analyse this comprehensive data set, we developed a new framework for determining parameters of stochastic gene expression by Bayesian inference. …”
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Arginine methylation modulates tumor fate and prognosis in clear cell renal cell carcinoma by Jiahao Wang, Dan Bao, Xiaochao Chen, Zijie Yu, Weiyu Kong, Chen Xu, Songtao Li, Yulin Yue

“…Univariate and multivariate Cox regression analyses were applied to develop an arginine methylation-related signature (AMS). …”
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A semi-mechanistic mathematical framework for simulating multi-hormone dynamics in reproductive endocrinology by Alexandre Vallée, Anis Feki, Gaby Moawad, Jean-Marc Ayoubi

“…PCA showed clear separation between phenotypes, consistent with known endocrine patterns. Logistic regression achieved 100 % accuracy, sensitivity, and specificity, with an AUC of 1.00, confirming robust, phenotype-discriminative features in the synthetic dataset. …”
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Leveraging ensemble convolutional neural networks and metaheuristic strategies for advanced kidney disease screening and classification by Abeer saber, Esraa Hassan, Samar Elbedwehy, Wael A. Awad, Tamer Z. Emara

“…By harnessing these technologies, we can analyze data to gain insights into symptoms and patterns, ultimately facilitating remote patient care. …”
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Dissecting Morphological and Functional Dynamics of Non‐Tumorigenic and Triple‐Negative Breast Cancer Cell Lines Using PCA and t‐SNE Analysis by Yazan A. Almahdi, Eva R. Schwark, Aidan J. Mclaughlin, Besa Xhabija

“…In contrast, MCF10A cells exhibited larger sizes and more regular migration patterns, suggesting stability in structured tissue environments. …”
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Search for antibacterial activity in a number of new S-derivatives (1,2,4-triazole-3(2H)-yl)methyl)thiopyrimidines by Yu. V. Karpenko, O. I. Panasenko

“…The obtained experimental results allowed to establish not only the role of the main structural features of the compounds in the manifestation of antimicrobial properties, but also to evaluate the effectiveness of the created classification and regression QSAR models. …”
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Characterizing the scale of regional landslide triggering from storm hydrometeorology by J. Perkins, N. S. Oakley, N. S. Oakley, B. D. Collins, S. C. Corbett, W. P. Burgess

“…Other factors, such as antecedent soil moisture driven by storm frequency and mesoscale precipitation features within storms, are instead more likely to dictate the patterns of landslide-generating rainfall throughout the state.…”
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Stress State of Modular Blocks with Large Door Openings by Ilia Teshev, Aliy Bespayev, Murat Tamov, Zauresh Zhambakina, Ulan Altigenov, Timur Zhussupov, Aigerim Tolegenova

“…Experimental results revealed that crack opening characteristics, main load-bearing wall deformations, horizontal deflections, and failure patterns under vertical loads are directly influenced by the small thickness and increased flexibility of the blocks. …”
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SUMOylation-related genes define prognostic subtypes in stomach adenocarcinoma: integrating single-cell analysis and machine learning analyses by Kaiping Luo, Kaiping Luo, Donghui Xing, Donghui Xing, Xiang He, Yixin Zhai, Yanan Jiang, Hongjie Zhan, Zhigang Zhao

“…A SUMOylation Risk Score (SRS) model was developed using 69 machine learning models across 10 algorithms, with performance evaluated by C-index and AUC. …”
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Multiomics integration analysis identifies tumor cell-derived MIF as a therapeutic target and potentiates anti-PD-1 therapy in osteosarcoma by Yan Liao, Hao Yao, Weidong Chen, Yutong Zou, Ji Fang, Jiongfeng Zhang, Zehao Guo, Jian Tu, Junkai Chen, Zijun Huo, Lili Wen, Xianbiao Xie

“…This study aimed to leverage multiomics integration to develop a new risk model, characterizing the immune features of osteosarcoma to uncover novel therapeutic targets.Methods Metabolomics profiling was conducted to identify key metabolites in osteosarcoma. …”
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Leishmania donovani Induced Cutaneous Leishmaniasis: An Insight into Atypical Clinical Variants in Sri Lanka by Yamuna Siriwardana, Bhagya Deepachandi, Chalukya Gunasekara, Wipula Warnasooriya, Nadira D. Karunaweera

“…Patients in other regions when travelled to North developed more ACL than when they travelled to South (60.9%, 42.9%). …”
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Distinct brain atrophy progression subtypes underlie phenoconversion in isolated REM sleep behaviour disorderResearch in context by Stephen Joza, Aline Delva, Christina Tremblay, Andrew Vo, Marie Filiatrault, Max Tweedale, Jean-François Gagnon, Ronald B. Postuma, Alain Dagher, Johannes Klein, Michele Hu, Petr Dusek, Stanislav Marecek, Zsoka Varga, John-Paul Taylor, John T. O'Brien, Michael Firbank, Alan Thomas, Paul C. Donaghy, Stéphane Lehéricy, Marie Vidailhet, Jean-Christophe Corvol, ICEBERG Study Group, Richard Camicioli, Howard Chertkow, Simon Lewis, Elie Matar, Kaylena A. Ehgoetz Martens, Lachlan Churchill, Michael Sommerauer, Sinah Röttgen, Per Borghammer, Karoline Knudsen, Allan K. Hansen, Dario Arnaldi, Beatrice Orso, Pietro Mattioli, Luca Roccatagliata, Oury Monchi, Shady Rahayel, Isabelle Arnulf, Samir Bekadar, Eve Benchetrit, Alexis Brice, Vanessa Brochard, Alizé Chalançon, Benoit Colsch, Florence Cormier-Dequaire, Jean-Christophe Corvol, Virginie Czernecki, Bertrand Degos, Cécile Delorme, Pauline Dodet, Carole Dongmo-Kenfack, Marie-Odile Habert, Farid Ichou, Jonas Ihle, Cécile Galléa, Rahul Gaurav, Marie-Alexandrine Glachant, Manon Gomes, David Grabli, Elodie Hainque, Laetitia Jeancolas, Christelle Laganot, Stéphane Lehéricy, Suzanne Lesage, Smaranda Leu-Semenescu, Richard Levy, Valentine Maheo, Graziella Mangone, Louise Laure Mariani, Aurelie Méneret, Poornima Menon, Fanny Mochel, Vincent Perlbarg, Dijana Petrovska, Fanny Pineau, Nadya Pyatigorskaya, Sophie Rivaud-Pechoux, Emmanuel Roze, Sara Sambin, Julie Socha, Arthur Tenenhaus, Romain Valabregue, Marie Vidailhet, Lydia Yahia-Cherif

“…Interpretation: There are two distinct atrophy progression subtypes in iRBD, with the cortical-first subtype linked to an increased likelihood of developing DLB, while both subtypes were associated with worsening parkinsonian motor features. …”
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The Ecosystem Services Assessment of Wetlands based on the Classification of Hydrological-ecological Structures and Functions (Case study: Shadegan Wetland) by leila Rahimi, Bahram Malekmohammadi, Ahmad reza Yavari

“…The management strategies are developed based on EBM-DPSER model and trade-off analysis of wetland ecosystem services.The most important management strategies include the following: - Preparation of the wetland land use map and zoning of the wetland to appropriate and allowed areas for human activities; - Investigating existing livelihood patterns and providing alternative and eco-friendly livelihoods in the region; - Investigating existing livelihood patterns and providing alternative and eco-friendly livelihoods in the region; - Establishing a legal mechanism for allocating the right of water wetland from the upstream rivers and restoring the wetland share of the agricultural, industrial and energy sectors; - Identifying the main sources of dust and developing biomechanical and bioengineering plans using the existing capacities in the province, especially attracting local people's participation. 4-Conclusion The proposed framework has gone beyond the traditional approaches to assessing and managing wetlands, which have not yet been effective and are not based on the understanding of the structure and functions of wetlands. …”
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An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability by Aldana Alexandra Cepeda Dean, Luisa Berná, Carlos Robello, Carlos Andrés Buscaglia, Virginia Balouz

“…On the contrary, structural features of canonical MASPs, MASP-related sequences, and MASP-chimeras were largely conserved across parasite genomes. …”
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Unobtrusive Sleep Posture Detection Using a Smart Bed Mattress with Optimally Distributed Triaxial Accelerometer Array and Parallel Convolutional Spatiotemporal Network by Zhuofu Liu, Gaohan Li, Chuanyi Wang, Vincenzo Cascioli, Peter W. McCarthy

“…Accurate identification of sleep postures can offer valuable insights into an individual’s sleep patterns, comfort levels, and potential health risks. …”
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Event-based landslide inventory through very high-resolution optical images and field surveys by P. Confuorto, R. Franceschini, L. Scarpitta, N. Casagli, S. Morelli, F. Raspini, V. Tofani, S. Moretti

“…Objectives This study aims to develop a detailed post-event landslide inventory of the Misa basin and to analyze the spatial distribution, the main morphological features, and the environmental context of the triggered landslides. …”
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Efficient Anomaly Detection for Edge Clouds: Mitigating Data and Resource Constraints by Javad Forough, Hamed Haddadi, Monowar Bhuyan, Erik Elmroth

“…This enables the model to benefit from the learned features and patterns from related tasks such as network intrusion detection, resulting in improved detection accuracy. …”
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Hyper IgE Syndromes: Understanding, Management, and Future Perspectives: A Narrative Review by Mohammad Salehi, Zeinab Neshati, Hamid Ahanchian, Rana Tafrishi, Alireza Pasdar, Mojtaba Safi, Ehsan Ghayoor Karimiani

“…In this review we aim to provide a comprehensive understanding of the condition and also discuss latest updates on pathological features, clinical spectrum and its variability, immunological abnormalities, inheritance patterns, new candidate genes, challenges, management strategies, epidemiology and future directions of HIES. …”
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Explainability of Network Intrusion Detection Using Transformers: A Packet-Level Approach by Pahavalan Rajkumardheivanayahi, Ryan Berry, Nicholas U. Costagliola, Lance Fiondella, Nathaniel D. Bastian, Gokhan Kul

“…Machine learning based NIDS models leverage algorithms that learn from historical network traffic data to identify patterns and anomalies to capture complex relationships. …”
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