Assessing water dependencies and risks in Dutch industries: Distribution, consumption and future challenges by C.J. Teo, J. Poinapen, J.A.M.H. Hofman, T. Wintgens

“…However, it also pointed out that this relationship is influenced by several other factors including water quality, extraction rights, historical development, and competition for water resources. Additionally, the analysis underlined the importance of considering both water consumption and proximity to water sources to accurately assess dependency. …”
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Causal associations between iron levels in subcortical brain regions and psychiatric disorders: a Mendelian randomization study by Wei Du, Biqiu Tang, Senhao Liu, Wenjing Zhang, Su Lui

“…The genetic instrumental variables linked to iron levels and psychiatric disorders were derived from the genome-wide association studies data of the UK Biobank Brain Imaging and Psychiatric Genomics Consortium. …”
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Experiences and needs of patients with MDR/XDR-TB: a qualitative study among Saharia tribe in Madhya Pradesh, Central India by Samridhi Nigam, Ravendra K Sharma, Rajiv Yadav, Vikas Gangadhar Rao, Prashant Mishra, Mercy Aparna Lingala, Jyothi Bhat

“…The obtained qualitative data were subjected to thematic analysis.Results The study helped to understand the experiences and needs of the patients with DR-TB in various stages from diagnosis to treatment. …”
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Association of miR-149 gene rs2292832 polymorphism with necrotizing enterocolitis in preterm infants by Hong Qiu, Xiaojun Wang, Yanhong Li, Renping Mao, Qin Lv

“…Results. General clinical data were compared between 102 preterm infants diagnosed with NEC and 263 preterm infants without NEC. …”
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Re‐evaluation of the risks to public health related to the presence of bisphenol A (BPA) in foodstuffs by EFSA Panel on Food Contact Materials, Enzymes and Processing Aids (CEP), Claude Lambré, José Manuel Barat Baviera, Claudia Bolognesi, Andrew Chesson, Pier Sandro Cocconcelli, Riccardo Crebelli, David Michael Gott, Konrad Grob, Evgenia Lampi, Marcel Mengelers, Alicja Mortensen, Gilles Rivière, Vittorio Silano (until 21 December 2020†), Inger‐Lise Steffensen, Christina Tlustos, Laurence Vernis, Holger Zorn, Monika Batke, Margherita Bignami, Emanuela Corsini, Rex FitzGerald, Ursula Gundert‐Remy, Thorhallur Halldorsson, Andrew Hart, Evangelia Ntzani, Eugenio Scanziani, Henri Schroeder, Beate Ulbrich, Dina Waalkens‐Berendsen, Detlef Woelfle, Zainab Al Harraq, Katleen Baert, Maria Carfì, Anna F Castoldi, Cristina Croera, Henk Van Loveren

“…Taking into consideration the evidence from animal data and support from human observational studies, the immune system was identified as most sensitive to BPA exposure. …”
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On-road vehicle emissions measurements show a significant reduction in black carbon and nitrogen oxide emissions in Euro 6c and 6d diesel-powered cars by I. Ježek Brecelj, A. Gregorič, A. Gregorič, L. Zgonik, T. Rutar, M. Ivančič, B. Alföldy, G. Močnik, G. Močnik, M. Rigler

“…<p>Real-world vehicle emissions measurement methods were developed to bridge the gap between laboratory tests and actual on-road emissions, including the variability in vehicles, drivers, and environmental conditions. …”
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Spatiotemporal Evolution and Influencing Factors of Surface Urban Heat Island Effect in Nanjing, China (2000–2020) by Quan An, Ge Shi, Jiahang Liu, Chuang Chen, Xinyu Li, Xiaoyu Tao, Zhuang Tian, Yunpeng Zhang

“…This study integrates the analysis of surface temperature data with natural and anthropogenic factors closely related to the urban thermal environment in Nanjing from 2000 to 2020, exploring the spatiotemporal variation characteristics of the urban heat island effect and the interactive relationships among its influencing factors. …”
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Baby Sleep Project Protocol: a realist evaluation of an intervention to reduce preventable infant mortality by Peter S Blair, Peter Fleming, Anna Pease, Jenny Ingram, Michelle Farr, N Bradley, Becky Lambert

“…Data will be collected both pre- and post-health professional training in the new resources. …”
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Explore the use of complementary and alternative medicine among Chinese gynaecological patients with cancer undergoing chemotherapy: a qualitative phenomenological study by Jianjun Zhang, Yan Zuo, Xinru Liu, Biru Luo, Yalin He

“…Semistructured in-depth interview. Colaizzi’s method data analysis.Setting A tertiary general hospital.Participants 16 gynaecological oncology patients (mean age 51.7) having undergone ≥1 chemotherapy cycle were recruited by purposive sampling.Results Six themes were generated. …”
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Lessons learned from implementing a digital rehabilitation care planning platform to improve care access for patients with work disability: qualitative process evaluation of the Re... by Kristina Buch, Viktoria Hamme, Annette Becker, Ulf Seifart, Catharina Maulbecker-Armstrong, Karin Moser, Pellumbesha Seferi, Antonia Keller, Veronika van der Wardt

“…Methods The process evaluation included interviews with primary care physicians (PCPs), patients and stakeholders involved in the intervention process. Reflexive thematic analysis was used to analyse the data. Emerging themes were structured according to the Donabedian framework of structure, process and outcomes. …”
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Microwave Radiothermometry in Evaluating Brain Temperature Changes (Review) by O. A. Shevelev, M. V. Petrova, M. Yu. Yuriev, V. T. Dolgikh, E. M. Mengistu, M. A. Zhdanova, I. Z. Kostenkova

“…Slow responsiveness and vulnerability of cerebral thermal homeostasis regulation mechanisms that underlie development of different temperature heterogeneity levels in the cerebral cortex in healthy brain and brain lesions are highlighted. …”
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Environmental impact assessment of organic Rankine cycle using waste heat from the aluminium industry by Monika Dokl, Gaja Strajnar, Annamaria Vujanović, Jan Puhar, Zdravko Kravanja, Lidija Čuček

“…This study investigates the utilization of waste heat from aluminium production through an Organic Rankine Cycle (ORC) system to generate electricity and heat simultaneously. Based on operational data from an aluminium plant, the system is firstly optimized from both the thermodynamic and economic perspectives. …”
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Hierarchy in Structuring of Resource Selection: Understanding Elk Selection Across Space, Time, and Movement Strategies by Storm Crews, Nathaniel D. Rayl, Mathew W. Alldredge, Eric J. Bergman, Chuck R. Anderson Jr., Eric H. VanNatta, Joseph D. Holbrook, Guillaume Bastille‐Rousseau

“…Despite herd‐specific differences, some consistent trends emerged, with elk avoiding human development and roads at fine scales while selecting areas with higher productivity during summer. …”
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Factors associated with undiagnosed COPD in patients hospitalised for severe COPD exacerbation by Thibaud Soumagne, Maéva Zysman, Julie Macey, Marina Guecamburu, Emilie Klein, Guillaume Verdy, Cécilia Nocent-Ejnaini, Laurent Portel, Léo Grassion

“…These findings highlight the need to improve training and access to spirometry and develop new diagnostic tools that facilitate earlier detection and management of COPD.…”
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Exploring palliative care needs of advanced AIDS patients in China: insights from a descriptive phenomenological study by Yan Zeng, Chunrong Lv, Chuntao Wu, Xia Zhao, Lu Zhang, Chunmei Liu, Dan Su, Tongtong Yang, Xi Yan, Bin Wan

“…A phenomenological thematic analysis method was used to analyze the interviews. …”
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Multi-model MCDM framework for sustainable renewable energy selection in India: integrating CRITIC-EDAS-CODAS-CoCoSo by Shankha Shubhra Goswami, T. Tapankumar, N. Channa Keshava Naik, J. Gowrishankar, Nilesh Bhosle, Amrita Singh, G. Sanyasi Raju, D. Nagesh, A. Johnson Santhosh

“…This study analyzes the rankings of the three deployed MCDM models and checks their stability using a sensitivity analysis. Another feature of the final results shows that EDAS and CoCoSo perform slightly better than CODAS in terms of ranking efficiency. …”
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Targeting matrix metalloproteinase-9 (MMP9) in prostate cancer: a computational study on natural product-derived novel potential inhibitors by Vipendra Kumar Singh, Naina Rajak, Prashant Kumar Gupta, Arun Kumar Mahapatra, Ankit Kumar Singh, Rajanish Giri, Neha Garg

“…The 3D structures of selected targets were acquired from the protein data bank, and molecular docking was carried out. …”
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Modeling of limitations on the use of hydraulic motor-wheels in transmissions of mobile machines by Avrunin Grygoriy, Podrigalo Mikhail, Podrigalo Nadia, Fidrovska Natalia, Moroz Irina, Yatsunskyi Petro

“…Problem. The development of mobile machines with increased movement speeds requires constructive solutions for the creation of appropriate transmissions, particularly the analysis of the possibility of creating hydraulic stepless transmissions using hydraulic motors of various types. …”
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D-optimal candexch algorithm-enhanced machine learning UV-spectrophotometry for five-analyte determination in novel anti-glaucoma formulations and ocular fluids: four-color sustain... by Omkulthom Al kamaly, Lateefa A. Al-Khateeb, Michael K. Halim, Noha S. katamesh, Galal Magdy, Ahmed Emad F. Abbas

“…The key novelty was using the D-optimal design generated by MATLAB's candexch algorithm to construct a robust validation set, overcoming random data splitting limitations in machine learning chemometric methods and ensuring unbiased evaluation across concentrations. …”
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Relationship Between Isometric Mid-Thigh Pull Force, Sprint Acceleration Mechanics and Performance in National-Level Track and Field Athletes by Ioannis Stavridis, Maria Zisi, Gavriil G. Arsoniadis, Gerasimos Terzis, Charilaos Tsolakis, Giorgos P. Paradisis

“…The IMTPF, the sprint mechanical variables (theoretical maximum horizontal force (F₀), velocity (v₀), and power (P_max)), as well as the sprint performance data at 5 m distance intervals, were collected. Pearson’s product–moment correlation analysis revealed large linear associations between IMTPF and v₀ (r = 0.65, R² = 0.42, <i>p</i> = 0.009), as well as negative linear relationships between IMTPF and sprint times of 15 m (r = −0.53, R² = 0.28, <i>p</i> = 0.043), 20 m (r = −0.55, R² = 0.30, <i>p</i> = 0.033), 25 m (r = −0.57, R² = 0.33, <i>p</i> = 0.025), and 30 m (r = −0.60, R² = 0.36, <i>p</i> = 0.019). …”
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