Diversification of the dynamics of population size and the number of the employed in small and medium-sized Polish towns from 1995 to 2010 by Korzeniak Grażyna

“…The research conducted within that project has been based on the identification of two basic groups of Polish towns, regarding their locations either within the functional area boundaries of the regional capital cities (functional areas of voivodship centre), or outside. …”
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Étude des représentations sociales d’un site classé aménagé : application au site de l’Anse de Paulilles (France) by Valérie Desrochers, Jocelyne Ferraris, Catherine Garnier

“…The results show that there is a correlation between patrimony and Paulilles’ site representations, principally in function of age and place of residence. To conclude, this work put the emphasis on social representations theory’s contribution in environmental science in order to better understand the point of view and thus, protected areas actors’ behaviours and practices related to management objectives.…”
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High diversity of fungal ecological groups from ice-free pristine and disturbed areas in the Fildes Peninsula, King George Island, Antarctica. by Sigisfredo Garnica, Genaro Soto-Rauch, Ellen M Leffler, Christian Núñez, Jonhatan Gómez-Espinoza, Enzo Romero, Ramón Ahumada-Rudolph, Jaime R Cabrera-Pardo

“…Although fungal communities are an important element of these habitats, knowledge of their assemblages and ecological functions is still limited. Herein, we investigated the diversity, composition, and ecological functionality of fungal communities inhabiting sediments from ice-free areas across pristine and anthropogenically impacted sites in the Fildes Peninsula on King George Island, Antarctica. …”
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Bound phenolic compounds of whole cereal grains as a functional food component: part two by Petra TERPINC

“…The extraction of ferulic acid from whole grain cereal products and its incorporation in functional food products is definitely an important area of future research.…”
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Genome-wide identification of SIMILAR to RCD ONE (SRO) gene family in rapeseed (Brassica napus L.) reveals their role in drought stress response by Huanhuan Jiang, Yuling Zhang, Jia Li, Rongzi Tang, Fenghao Liang, Rong Tang, Yuyu Zhou, Chao Zhang

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MANAGEMENT OF INVESTMENT PROJECTS AS AN IMPORTANT COMPONENT OF ENTERPRISE MANAGEMENT IN THE GLOBAL SPACE by A. V. Nikitina, O. Shersheniuk, I. Kyrchata, K. Popkova, O. Khrystoforova

“…The main features of the definition of the functions of investment management as a management system and a special area of enterprise management are determined. …”
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Identification of Hotspot Regions for Candidate Genes Associated with Peanut (<i>Arachis hypogaea</i> L.) Pod and Seed Size on Chromosome A05 by Xiaoji Zhang, Luhuan Wang, Qimei Liu, Xiaoyu Zhang, Yuexia Tian, Yunyun Xue, Huiqi Zhang, Na Li, Xin Zhang, Dongmei Bai

“…In this region, 10 KASP markers were developed, narrowing the enrichment area to two candidate gene hotspot regions of 600.9 kb and 721.2 kb. …”
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A new catalytic merit for prediction catalytic potential of 2D materials in LiO2 batteries: Theoretical investigation and experimental identification by Geng Cheng, Wenpei Li, Chengyan Liu, Jie Gao, Jun-Liang Chen, Jianhua Zhou, Xiaoyang Wang, Lei Miao

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Identification of Potential Inhibitors Targeting Non-Structural Proteins NS3 and NS5 of Dengue Virus Using Docking and Deep Learning Approaches by Alomgir Hossain, Faria Tasnin Joti, Md. Shohag Hossain, Abdullah Al-Noman, Chomong Thowing, Mehjabin Mursona, Md. Robiul Islam, Md. Ekhtiar Rahman, Mohammad Nurul Matin, Md Azizul Haque

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Identification and expression analysis of sugar transporter family genes reveal the role of ZmSTP2 and ZmSTP20 in maize disease resistance by Yu-xin MA, Zhi-jun ZHOU, Hong-zhe CAO, Fan ZHOU, He-long SI, Jin-ping ZANG, Ji-hong XING, Kang ZHANG, Jin-gao DONG

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Coastal Urban Ecological Security Pattern Identification Integrating Land Subsidence Factors: A Deep Learning-Based Case Study of Zhuhai City by Yuan Shaoxiong, Gong Qinghua, Ye Yuyao, Wang Jun, Hao Yinlei, Zhang Yaze, Liu Bowen

“…Principal component analysis and information entropy performed better in identifying construction and corridor areas, whereas nonlinear fusion showed advantages in source area identification. …”
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One‐Year Functional Outcomes Following Geriatric Hip Fracture: A Prospective Cohort Analysis by Wei Zheng, Qianying Cai, Changqing Zhang, Shengbao Chen, Kai Fu

“…Least absolute shrinkage and selection operator (LASSO) regression and multivariable logistic regression analyses were employed to identify predictive factors for hip function at 12 months postoperatively. A nomogram was developed using R software and evaluated using concordance index (C‐indexes), area under the curve (AUC), decision curve analysis (DCA), and calibration curves. …”
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Classification of schizophrenia spectrum disorder using machine learning and functional connectivity: reconsidering the clinical application by Chao Li, Ji Chen, Mengshi Dong, Hao Yan, Feng Chen, Ning Mao, Shuai Wang, Xiaozhu Liu, Yanqing Tang, Fei Wang, Jie Qin

“…Abstract Background Early identification of Schizophrenia Spectrum Disorder (SSD) is crucial for effective intervention and prognosis improvement. …”
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Human Activity Profile Questionnaire: functional assessment and screening for systolic dysfunction in patients with Chagas cardiomyopathy by Lucas Frois Fernandes Oliveira, Matheus Ribeiro Ávila, Whesley Tanor Silva, Sueli Ferreira da Fonseca, Endi Lanza Galvão, Cheyenne Alves Fonseca, Vanessa Amaral Mendonça, Ana Cristina Rodrigues Lacerda, Sabrina Pinheiro Tsopanoglou, Sanny Cristina de Castro Faria, Daniel Menezes de Souza, Mauro Felippe Felix Mediano, Marcus Alessandro de Alcantara, Pedro Henrique Scheidt Figueiredo, Manoel Otávio da Costa Rocha, Henrique Silveira Costa

“…ABSTRACT Background: Patients with chronic Chagas cardiomyopathy (CCC) may present with fatigue and dyspnea, which contribute to functional impairment. However, simple and inexpensive methods for evaluation of functional impairment and identification of left ventricular (LV) systolic dysfunction in patients with CCC are lacking. …”
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Parafoveal Microperimetric Retinal Sensitivity as a Key Parameter Associated with Vision Loss in Retinitis Pigmentosa by Yu-Ting Hsiao, Hsiu-Mei Huang, Ta-Ching Chen, Jung Lo, Yung-Jen Chen, Hsi-Kung Kuo, Jong-Jer Lee

“…Those with four or more deep scotoma points at the parafoveal inner ring are more likely to have functional low vision.…”
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Field Investigation and Numerical Modeling for the Seismic Assessment of the Castle of Lanjarón, Spain by Hayden Luger, Rafael Ramirez, Paloma Pineda, Paulo B. Lourenço

“…After losing its military function, the castle was abandoned, leading to significant decay. …”
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Genome-wide identification, characterization, and expression analysis of the MADS-box gene family in grass pea (Lathyrus sativus) under salt stress conditions by Mohamed Abdelsattar, Ahmed E. Nassar, Khaled H. Mousa, Ahmed Hussein, Manal M. S. El-Baghdady, Khaled H. Radwan, Manar S. Ibrahim, Achraf El Allali, Aladdin Hamwieh, Alsamman M. Alsamman, Zakaria Kehel

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Global research on cognitive function for Schizophrenia from 2014 to 2024: a bibliometric and visual analysis by Yansha Gan, Chunyu Dong, Jiaojiao Sun, Danting Yang, Jiajun Yin, Zhenhe Zhou

“…Additionally, cluster analysis reveals that research primarily focuses on schizophrenia spectrum disorders, bipolar disorder, and genetic architecture.Conclusions Our research reveals that the identification of key network characteristics and cognitive heterogeneity, the interaction between polygenic risk and environmental factors, the safety of pharmacological interventions, and the cognitive development of youth are likely to be areas that should be prioritized in current and future research.…”
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stGRL: spatial domain identification, denoising, and imputation algorithm for spatial transcriptome data based on multi-task graph contrastive representation learning by Xin Lu, Murong Zhou, Bo Gao, Fang Wang, Shuilin Jin, Qiaoming Liu, Guohua Wang

“…This significantly enhances researchers' understanding of cellular and tissue functions in their spatial context. However, due to current technical limitations, spatial transcriptomics data often exhibit high dropout rates and noise, posing challenges for downstream analysis, like spot clustering, differential gene analysis, and spatial domain identification. …”
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Fault Diagnosis and Prognosis of Satellites and Unmanned Aerial Vehicles: A Review by MohammadSaleh Hedayati, Ailin Barzegar, Afshin Rahimi

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