LncRNAs Regulate Vasculogenic Mimicry in Human Cancers by Eloísa Ibarra-Sierra, Mercedes Bermúdez, Carlos Esteban Villegas-Mercado, Macrina B. Silva-Cázares, César López-Camarillo

“…Recently, high-throughput RNA-sequencing technologies have identified thousands of lncRNAs, but only a small percentage of them have been functionally characterized in human cancers. The vast amount of data about its genomic expression in tumors can allow us to dissect their functions in cancer biology and make them suitable biomarkers for cancer diagnosis and prognosis. …”
Get full text

Establishing a Xanthan Gum–Locust Bean Gum Mucus Mimic for Cystic Fibrosis Models: Yield Stress and Viscoelasticity Analysis by Rameen Taherzadeh, Nathan Wood, Zhijian Pei, Hongmin Qin

“…In vitro models that emulate these properties are essential for understanding the impact of CF mucus on airway function and for the development of therapeutic strategies. …”
Get full text

Methodology for Human–Robot Collaborative Assembly Based on Human Skill Imitation and Learning by Yixuan Zhou, Naisheng Tang, Ziyi Li, Hanlei Sun

“…However, enabling robots to accurately perceive and align with human motion intentions remains a significant challenge. …”
Get full text

Machine Learning for Enhanced COPD Diagnosis: A Comparative Analysis of Classification Algorithms by Walaa H. Elashmawi, Adel Djellal, Alaa Sheta, Salim Surani, Sultan Aljahdali

“…These models were applied to a dataset comprising 1603 patients after being referred for a pulmonary function test. <b>Results</b>: The RFC has achieved superior accuracy, reaching up to 82.06% in training and 70.47% in testing. …”
Get full text

A reliability model to predict failure behaviour of overlying strata in groundwater-rich coal mine by Ruirui Li, Xiaowei Hou, Luwang Chen, Yingxin Wang, Fuyou Huang, Lanting Wang

“…Furthermore, based on Mohr–Coulomb yield criterion, a performance function is deduced to calculate the failure probabilities of overburden rocks to evaluate the spatial scale of WCFZ. …”
Get full text

Robust Predictive Current Control of IMs With MRAS-Based Parameter Estimation by Gabriel Caramori, Igor Oliani, Angelo S. Lunardi, Alfeu J. Sguarezi Filho

“…Unlike conventional FCS-MPC methods, this approach employs stator voltage rather than current, torque, or flux as the optimization metric in its cost function. By leveraging the MRAS observer, the proposed method dynamically aligns model parameters with real-time motor conditions, mitigating the effects of parameter variations and external disturbances. …”
Get full text

Utilizing coffee bean subgrade quality by designing product development using integrated kansei words and Fuzzy QFD by Irvansyah Tri Ummarta, Imam Santoso, Dodyk Pranowo, Annisa’u Choirun

“…Kansei words capture and measure emotional impressions based on customer requirements (CRs), while Fuzzy Quality Function Deployment (QFD) systematically translates these desires into measurable product attributes. …”
Get full text

The “What” of Athletes’ Goal Pursuit and Its Relationships to Goal-Related Processes and Well- and Ill-Being by Natalia Martínez-González, Francisco L. Atienza, Joan L. Duda, Isabel Balaguer

“…Overall, the findings were largely congruent with GCT and indicate that the quality of athletes’ goal-related processes and their well- and ill-being vary as a function of whether they are pursuing intrinsic or extrinsic goals.…”
Get full text

Green solvent extraction of health boosting phenolics from pigeon pea husk by Deepika Goswami, Manju Bala, D. Mridula, Rajesh Kumar Vishwakarma, P. N. Guru

“…The ideal extraction conditions determined via desirability function analysis were found to be 41.83% (v/v) ethanol concentration, 59.36 °C extraction temperature, and 6 h extraction time. …”
Get full text

Generic residue numbering of the GAIN domain of adhesion GPCRs by Florian Seufert, Guillermo Pérez-Hernández, Gáspár Pándy-Szekeres, Ramon Guixà-González, Tobias Langenhan, David E. Gloriam, Peter W. Hildebrand

“…In summary, our work enables researchers to generate hypothesis and rationalize experiments related to GAIN domain function and pathology.…”
Get full text

A Feature Extraction Method of Ship Underwater Noise Using Enhanced Peak Cross-Correlation Empirical Mode Decomposition Method and Multi-Scale Permutation Entropy by Peng Liu, Chen Dai, Shuaiqiang Li, Hui Jin, Xinfu Liu, Guijie Liu

“…In this paper, the IEMD method is used to decompose three ship underwater noise signals to extract the MPE features of the highest order intrinsic modal function (IMF) of energy. The results show that the IEMD-MPE method performs well in extracting the feature information of the signals and has a strong discriminative ability. …”
Get full text

Low Back Exoskeletons in Industry 5.0: From Machines to Perceiving Co-Pilots—A State-of-the-Art Review by Andrea Dal Prete, Marta Gandolla, Giuseppe Andreoni, Francesco Braghin

“…The study aims to identify key barriers to adoption and explore design characteristics which align these systems with the Industry 5.0 paradigm, where machines function as collaborative co-pilots alongside humans. …”
Get full text

The Significance of Personality-Oriented Technology in Higher Education in Ukraine by Olha Dienichieva, Iryna Biliak, Natalia Plakhotniuk, Тetiana Verhun, Kateryna Parnus

“…The theoretical contribution includes expanding the understanding of how personality-oriented technologies function in crisis-affected higher education environments and how they can be optimized for future resilience.…”
Get full text

Multi-scale computational analysis of Melanin’s therapeutic potential in skin cancer by Shilpa Valiyaparambil, Janakiraman Kunchithapatham, Muddukrishnaiah Kotakonda, Kamal Yoonus Thajudeen, Saad Ali Alshehri, Mohammed Muqtader Ahmed

“…Abstract Melanin is a complex biological pigment found in various living organisms. The primary function of melanin is to absorb and dissipate ultraviolet (UV) radiation, protecting against the harmful effects of sunlight. …”
Get full text

Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal by Zafar Iqbal, Md. Mahfuzur Rahman, Usman Mahmood, Qasim Zia, Zening Fu, Vince D. Calhoun, Sergey Plis

“…Objective: Functional magnetic resonance imaging data pose significant challenges due to their inherently noisy and complex nature, making traditional statistical models less effective in capturing predictive features. …”
Get full text

Characterization and comparative analysis of the complete mitochondrial genome of Phlomoides rotata, a traditional Tibetan medicinal plant by Houzhou Liu, Zhongqiong Tian, Tsering Danzin, Xin Tan, Junwei Wang, Qiong La, Wei Li

“…Analysis of codon usage bias indicated a preference for A/U ending synonymous codons, aligning with trends observed in other angiosperms. …”
Get full text

Whole-genome sequencing uncovers the plant growth-promoting potential of Bacillus licheniformis G41, isolated from the rhizosphere soil of Gannan navel orange by Haojie Cao, Tao Peng, Wenyuan Zhao, Huimin Huang, Shuijing Yu, Yichun Zhu

“…Therefore, developing sustainable methods aligned with modern green agriculture is crucial. …”
Get full text

Global Genetic Diversity of ZYMV Coat Protein Isolates in Cucurbits: Comparative Sequence Analysis and Phylogenetic Insights for Diagnostic Applications by Shrouk Essam Emam Farag, Shafik Ibrahim, Mamdouh Hussein Abdel-Gaffar, Atef Sadik

“…This indicates strong functional constraints on viral proteins that are essential for replication, movement, and host interactions. …”
Get full text

Reactive extrusion process to obtain a multifunctional fiber-rich ingredient from coffee hull by Jessika Soares Jacinto, Janaina Mantovan, Jaquellyne Bittencourt Moraes Duarte da Silva, Suzana Mali de Oliveira

“…The valorization of these residues as ingredients for the food industry aligns with environmental, social, and economic sustainability goals. …”
Get full text

Context-Aware Gene Embedding Pipeline (CGEP): An Accessible, Regulatory-Region-Inclusive Embedding Framework for Interpretable Disease-Agnostic Prediction by Twaha Ahmed Minai, Zubair Ahmed Shaikh, Asim Imdad Wagan, M. Kamran Azim, Syed Muhammad Muaz, Muhammad Shoaib Siddiqui

“…In this study, we propose a novel Gene Embedding Pipeline (CGEP) designed to address critical limitations in genomic deep learning by integrating both functional and regulatory genomic contexts. Unlike conventional approaches, our framework prioritizes disease-associated genes identified through contribution analysis (validated via a breast cancer case study) while remaining extensible to all pathologies with patient-derived FASTA sequences. …”
Get full text