What do women like? A quantitative study of the female behavior of sparkling wines consumers by Miriam de Oliveira Dornelles, Cláudio Vinícius Silva Farias, Shana Sabbado Flores

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Advances in Civil Engineering Application of DICM on Similar Material Simulation Experiment for Rock-Like Materials by Hailing Kong, Luzhen Wang, Guoqing Gu, Bing Xu

“…The digital image correlation method (DICM) has been applied to similar material simulation experiments for rock-like materials, to overcome the weakness of traditional measurements, for example, data discontinuous. …”
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The paradox of creativity in generative AI: high performance, human-like bias, and limited differential evaluation by Joy Desdevises

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Karakterisasi dan Uji Efektivitas Allophane-Like untuk Adsorpsi Ion Logam Tembaga (Cu) by Pranoto Pranoto, Tri Martini, Deta Agustin Rachmawati

“…Hasil penelitian diketahui bahwa allophane-like memiliki gugus fungsi yang sama dengan allophane-alam yang ditunjukkan dengan data FTIR yaitu memiliki puncak yang sama pada 3431-3252; 1631; 1071; 785; dan 562-457 cm-1. …”
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Trypanosomes lack a canonical EJC but possess an UPF1 dependent NMD-like pathway. by Bernardo Papini Gabiatti, Eden Ribeiro Freire, Johanna Odenwald, Janaina de Freitas Nascimento, Fabiola Holetz, Mark Carrington, Susanne Kramer, Martin Zoltner

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A comprehensive study of the mechanical properties of rock-like materials for inelastic deformation model establishment by TRIMONOVA Mariia, STEFANOV Yuri, DUBINYA Nikita, BAKEEV Rustam

“…The existence of such a well-described material provides future opportunities to conduct controllable experiments on various mechanical processes in rock-like material for further development and validation of theoretical models used in rock mechanics.   …”
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Big data and data science in global governance: anticipating future needs and applications in the UN and beyond by Lanxin Li, Jiarou Wang, Xi Wang, Peng Peng, Jiaying Shen, Haining Zhu, Ziyang Zhang

“…The research identifies the “4Vs” of big data (Volume, Velocity, Variety, and Veracity) as fundamental characteristics reshaping governance approaches while highlighting innovative applications like UN Global Pulse, SDG tracking systems, and AI-driven predictive analytics in crisis prevention. …”
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Genome-wide characterization and expression analysis of the CONSTANS-like gene family of Juglans mandshurica Maxim by Jingwen Wu, Mengmeng Zhang, Yue Gao, Shuhan Li, Ruoxue Jia, Lijie Zhang

“…In this study, 15 members of the CONSTANS-like gene family were identified based on the genomic data of Juglans mandshurica. …”
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A Novel Nomogram for Early Identification of CFS-Like Symptoms in University Students with Infectious Mononucleosis by Deping Sun, Yanan Liang, Fuwei Yang, Lan Liu, Yuqin Yan

“…The nomogram developed in this study serves as a valuable predictive tool for assessing the risk of CFS-like symptoms in university students with IM. The identified predictors, including NLR, the NSS, CRP, and MLR, can assist clinicians in evaluating individual risk profiles and inform decision-making processes. …”
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Are Natural Language Processing methods applicable to EPS forecasting in Poland? by Wojciech Kurylek

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Neural G0: a quiescent‐like state found in neuroepithelial‐derived cells and glioma by Samantha A O’Connor, Heather M Feldman, Sonali Arora, Pia Hoellerbauer, Chad M Toledo, Philip Corrin, Lucas Carter, Megan Kufeld, Hamid Bolouri, Ryan Basom, Jeffrey Delrow, José L McFaline‐Figueroa, Cole Trapnell, Steven M Pollard, Anoop Patel, Patrick J Paddison, Christopher L Plaisier

“…From these data, we constructed a cell cycle classifier that identifies traditional cell cycle phases and a putative quiescent‐like state in neuroepithelial‐derived cell types during mammalian neurogenesis and in gliomas. …”
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Discovering and modeling hidden periodicities in science data by Antonio Napolitano, William A. Gardner

“…Wold, written more than half a century ago, following which the treatise focuses on a paradigm shifting advance in theory and methodology for characterizing hidden periodicities that was initiated by the second author in the mid-1980s and further advanced by both authors since then, including a plethora of algorithms for performing the needed computations in applications. The data models this theory is based on are generally called cyclostationary but include variations that are labeled with modifiers like wide-sense, strict sense, n-th order for n = 1, 2, 3,..., almost, poly, and irregular. …”
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Developing Computer Vision Models for Classifying Grain Shapes of Crushed Stone by Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, Alexandr A. Shilov, Irina Razveeva, Diana Elshaeva, Andrei Chernil’nik, Gleb Onore

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Expression of innate immunity genes in human hematopoietic stem/progenitor cells – single cell RNA-seq analysis by Justyna Jarczak, Kannathasan Thetchinamoorthy, Diana Wierzbicka, Kamila Bujko, Mariusz Z. Ratajczak, Mariusz Z. Ratajczak, Magdalena Kucia

“…Thus, our data sheds new light on complosome as a novel regulator of hematopoiesis that involves intracrine activation of the C5a-C5aR-Nlrp3 inflammasome axis.…”
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Deep Searches for Radio Pulsations and Bursts from Four Magnetar and a Magnetar-like Pulsar with FAST by Juntao Bai, Na Wang, Shi Dai, Shuangqiang Wang, Jianping Yuan, Wenming Yan, Lunhua Shang, Xin Xu, Shijun Dang, Zhen Zhang

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A Data-Driven Approach for Urban Heat Island Predictions: Rethinking the Evaluation Metrics and Data Preprocessing by Berk Kıvılcım, Patrick Erik Bradley

“…Since the task is to explore patterns, i.e., urban heat islands, Gaussian blurring is implemented on these generated 2D raster data before the training process. This strengthens the visual capturing of spatial relationships, and as a result the correlation rate between air temperature and building volume data is also increased. …”
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Finding the Optimal Convolutional Kernel Size for Semantic Segmentation of Pole-like Objects in Lidar Point Clouds by Z. Zhang, D. Shojaei, K. Khoshelham

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Collaborative Static-Dynamic Teaching: A Semi-Supervised Framework for Stripe-like Space Target Detection by Zijian Zhu, Ali Zia, Xuesong Li, Bingbing Dan, Yuebo Ma, Hongfeng Long, Kaili Lu, Enhai Liu, Rujin Zhao

“…MRSA-Net incorporates multi-receptive field processing and multi-level feature fusion to effectively extract features of variable and low-SNR stripe-like targets. …”
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A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards by Arthur Gonsales da Silva, Arthur Gonsales da Silva, Roger Pinho de Oliveira, Caio de Oliveira Bastos, Caio de Oliveira Bastos, Elena Almeida de Carvalho, Bruno Duarte Gomes

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Breakdown of the compositional data approach in psychometric Likert scale big data analysis: about the loss of statistical power of two-sample t-tests applied to heavy-tailed big d... by René Lehmann, Bodo Vogt

“…Through stochastic simulation, this study explores the impact of violating the CLT on statistical power of the unpaired t-test under heavy-tailed data generating processes (DGPs) with finite variance. …”
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