GeneSetCluster 2.0: a comprehensive toolset for summarizing and integrating gene-sets analysis by Asier Ortega-Legarreta, Alberto Maillo, Daniel Mouzo, Ana Rosa López-Pérez, Lara Kular, Majid Pahlevan Kakhki, Maja Jagodic, Jesper Tegner, Vincenzo Lagani, Ewoud Ewing, David Gomez-Cabrero

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Nesplora Ice Cream test: a normative study of a virtual reality-based executive function assessment in adults by Fidel Rebón-Ortiz, Fidel Rebón-Ortiz, Débora Areces, Miguel Saura-Carrasco, Claudia Flores, Celestino Rodríguez, Unai Díaz-Orueta, Unai Díaz-Orueta, Gema Climent, Irene Alice Chicchi Giglioli

“…This study aims to establish normative data for participants aged 17 to 80 who completed the Nesplora Ice Cream test, a virtual reality tool designed to assess executive functions. …”
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Comparative transcriptome analysis revealed gene expression differences in fruits between two Actinidia chinensis cultivars by Lina Guo, Kai Yan, Dan Li, Wanxing Li

“…This study revealed the change in gene expression level at maturity through the analysis of DEGs data, and these data can provide valuable clues for exploring the molecular mechanism between two kiwifruit varieties, and will be helpful for molecular breeding in Actinidia plants.…”
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Circular RNA microarray expression profile and potential function of circDOCK1 in colorectal cancer by Guojing Zhang, Xiaoyan Wu, Hongmin Fu, Daqing Sun

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A Comparative Study of Topic Modelling Approaches for User-generated Point of Interest Data by Ravi Satyappa Dabbanavar, Arindam Biswas

“… This study aims to enhance urban planning and management by harnessing the power of machine learning (ML) and big data. We focus on Urban Functional Zones (UFZs), the fundamental units for human socio-economic activities. …”
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Investigation of wave processes and rhythmic activity of the human brain using the Walsh orthogonal function system by Stepanyan, Ivan Viktorovich, Lednev, Mikhail Yuryevich

“…The purpose of this work is to study the wave processes and rhythmic activity of the brain based on multiscale parametric maps of electroencephalograms obtained as a result of algorithmic application of a system of discrete functions. Methods. For visualization, a previously developed multi-scale method for constructing parametric mappings of molecular genetic information was used, in which a set of four nucleotides is considered as a system of orthogonal Walsh functions. …”
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‘A Mulligan’s stew’: educational preparation for today’s academic library liaisons in the humanities and social sciences by Rachel Fleming-May, Wade Bishop, Caroline Villarreal

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Assessing the Impact of Land Degradation on Agricultural Output Using a Stochastic Frontier Production Function by Антон Сергеевич Строков

“…To analyse the relationship between land degradation and agricultural output, the stochastic frontier analysis (SFA) was employed. This method not only estimates the parameters of a classic production function but also accounts for errors in the model by evaluating parameters related to risk and technical inefficiency. …”
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The relationship between regional homogeneity in resting-state functional magnetic resonance imaging and cognitive function in depressive disorders with migraine by Wensheng Chen, Guojun Xie, Caixia Xu, Jiaquan Liang, Chunguo Zhang

“…All participants underwent rs-fMRI scans, and imaging data were analyzed using ReHo. Cognitive function was assessed with the Repeatable Battery for the Assessment of Neuropsychological Status. …”
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Physicomechanical Characterization of a Novel Resin-Modified Glass Ionomer Luting Cement Functionalized with a Phosphate Functional Monomer by Rabeia J. Khalil, Abdulla M. W. Al-Shamma

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Deep Learning Algorithm for Optimized Sensor Data Fusion in Fault Diagnosis and Tolerance by M. Elhoseny, Deepak Dasaratha Rao, Bala Dhandayuthapani Veerasamy, Noha Alduaiji, J. Shreyas, Piyush Kumar Shukla

“…Here, the major objective is to locate problems in detection by analysing previous data or sequential patterns of data that cause failure. …”
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ICT Adoption in Education: Unveiling Emergency Remote Teaching Challenges for Students with Functional Diversity Through Topic Identification in Modern Greek Data by Katia Lida Kermanidis, Spyridon Tzimiris, Stefanos Nikiforos, Maria Nefeli Nikiforos, Despoina Mouratidis

“…This study explores topic identification using text analysis techniques in Modern Greek interviews with parents of students with functional diversity during Emergency Remote Teaching. …”
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Identification and functional characterisation of DNA methylation differences between East- and West-originating Finns by Joanna Ciantar, Saara Marttila, Sonja Rajić, Daria Kostiniuk, Pashupati P Mishra, Leo-Pekka Lyytikäinen, Nina Mononen, Marcus E Kleber, Winfried März, Mika Kähönen, Olli Raitakari, Terho Lehtimäki, Emma Raitoharju

“…Our results indicate that DNA methylation differences between East and West Finns may have a functional role in mediating the cardiometabolic disease discrepancy between the sub-populations.…”
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Discriminant analysis: peculiarities of impact of sports specialization on 3rd-year female students’ functional and motor fitness by Serhii Chernenko, Wladyslaw Jagiello, Olha Ivashchenko, Oleg Khudolii, Sviatoslava Pashkevich

“…Pedagogical methods were used to study the peculiarities of students’ functional state of the body and motor abilities; for data processing discriminant analysis was used. …”
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Outcomes Following Observation of Small Non-Functioning Neuroendocrine Tumors of the Pancreas. Data from the Registry of the Loginov Moscow Clinical Scientific Center by I. E. Khatkov, D. A. Salimgereeva, I. Yu. Feidorov, A. A. Konyakhina, A. L. Petrova

“…According to the registry data, active observation is an acceptable tactic for managing patients with T1 non-functioning pancreatic neuroendocrine tumors. …”
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An Investigation of Stretched Exponential Function in Quantifying Long-Term Memory of Extreme Events Based on Artificial Data following Lévy Stable Distribution by HongGuang Sun, Lin Yuan, Yong Zhang, Nicholas Privitera

“…Our statistical analyses based on time series datasets following the Lévy stable distribution confirm that the stretched exponential distribution can describe a wide spectrum of memory behavior transition from exponentially distributed intervals (without memory) to power-law distributed ones (with strong memory or fractal scaling property), extending the previous evaluation of the stretched exponential function using Gaussian/exponential distributed random data. …”
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Empirical Functions for Highly Charged Ion Abundances in Solar Wind Charge Exchange Models: Addressing Post‐2011 ACE Data Limitations by D. Koutroumpa, K. D. Kuntz, J. A. Carter, J. Raines, S. T. Lepri, L. Zhao

“…To address this, we developed empirical functions using ion ratios (O7+/O6+,O8+/O6+,C6+/C5+) still available from ACE, partially compensating for missing composition data. …”
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Post-Transplant Diabetes Mellitus in Renal Transplant Recipients, Single-Centre Data: Incidence, Risk Factors, and Effect on Graft Function and Mortality by Dileep Kumar, Kashif Gulzar, Fakhriya J. Alalawi, Ayman Aly Seddik, Hind Alnour, Maseer Ahmed, Sima Najad, Hussein Yousif, Mohamed Hussain Railey, Amna Khalifa Alhadari

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Association between insecticide exposomics and cognitive function in older adults: an observational study based on NHANES 2011–2014 by Mengfan Zhang, Xiaofang Guo, Yuanjun Chen, Xinghua Liu, Xingdong Lin

“…ObjectiveThis study aims to investigate the association between exposure to insecticide exposomics and cognitive function, among adults aged 60 and above.MethodsWe employed a multi-stage probability sampling method to analyze data derived from the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2014. …”
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Unsupervised clustering of biochemical markers reveals health profiles associated with function and survival in active aging by Raquel González-Martos, Javier Galeano, Carmen Ramirez-Castillejo, Narcis Gusi, Eva Gesteiro, German Vicente-Rodriguez, Ignacio Ara, Amelia Guadalupe-Grau

“…Abstract This study explores the relationships between biochemical phenotypes identified using machine learning, and key health outcomes, including body composition, physical function, and mortality risk. Data were collected from 536 physically active Spanish participants aged over 65 years (76.5% women) enrolled in the EXERNET cohort (2017–2018), with a 6-year mortality follow-up. …”
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