Development of Interactive E-Module to Foster EFL Students’ Critical Thinking in Essay Writing by Happy Kusuma Wardani, Ellys Kumala Pramartaningthyas, Taufiqur Rohman, Alimin Alimin

“…Furthermore, experts and students confirmed that the E-Module demonstrated practicality through ease of use and structured progression. Overall, experts and students perceive the interactive E-Modul developed in this study as a valuable tool for fostering critical thinking and independent learning.…”
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Navigating Ecological–Economic Interactions: Spatiotemporal Dynamics and Drivers in the Lower Reaches of the Jinsha River by Zhongyun Ni, Yinbing Zhao, Jingjing Liu, Yongjun Li, Xiaojiang Xia, Yang Zhang

“…This study combines the remote sensing ecological index (RSEI) derived from MODIS data and the biodiversity richness index (BRI) based on land use data to create the ecological environment index (EEI) using a weighted approach. …”
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Birds as sacred ‘children of god’, beholders of spirit and symbols of twinhood: Human–bird interaction among the Nuer in western Ethiopia by Abebayehu Aticho, Abebe Beyene, Shimelis Aynalem Zelelew, Changkuoth Puok, Andrew G. Gosler, Nils Chr. Stenseth, Desalegn Chala

“…Relying on preexisting bird survey data, we conducted focussed group discussions and semi‐structured interviews with Indigenous Nuer in western Ethiopia to explore human–bird interactions and documented associated traditional ecological knowledge and considered their conservation implications. …”
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Unraveling interactions: Mechanisms shaping the transition of small and medium-sized ports to energy hubs by Negar Safara Nosar

“…Technical interactions within the ports are driven by two mechanisms: the functional coupling, which refers to input–output relations among technical components and physical infrastructures, and (2) the structural coupling, which highlights the conjoint use of material elements. …”
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Verification Technical Scheme for Deep Learning Algorithm Based on Interactive Zero Knowledge Protocol by LYU Yanfeng, LYU Xuesheng, HUANG Shenghui, LIANG Qinglei

“…On the basis of relevant declaration data, a massive sample library was established through Monte Carlo method. …”
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Protein-Protein interactions uncover candidate 'core genes' within omnigenic disease networks. by Abhirami Ratnakumar, Nils Weinhold, Jessica C Mar, Nadeem Riaz

“…The omnigenic model attempts to explain this observation by suggesting that diseases can be thought of as networks, where genes with direct involvement in disease-relevant biological pathways are named 'core genes', while peripheral genes influence disease risk via their interactions or regulatory effects on core genes. Here, we demonstrate a method for identifying candidate core genes solely from genes in or near disease-associated SNPs (GWAS hits) in conjunction with protein-protein interaction network data. …”
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Numerical Simulation and Analysis of Heart–Aorta Fluid–Structure Interaction Based on S-ALE Method by Xiong Li, Fengchong Lan, Jiqing Chen, Xinzhe Chen

“…The aim of this study is to understand the hemodynamic responses in the heart–aorta system under physiological states and use this understanding to enhance the hemodynamic response analysis of cardiovascular fluid–structure interaction (FSI) models. …”
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Bridge Structural Damage Identification Technique Based on BPNN and Vehicle-bridge Interaction Analysis by Lingling Li, Yibo Zhang

“…The response of the contact point of the bridge deck and tires was then used as the input of the back propagation neural network to compute the coupled vibration equations of the vehicle and bridge, and create the data set of the vehicle and bridge’s response. …”
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Bridge Structural Damage Identification Technique Based on BPNN and Vehicle-bridge Interaction Analysis by Lingling Li, Yibo Zhang

“…The response of the contact point of the bridge deck and tires was then used as the input of the back propagation neural network to compute the coupled vibration equations of the vehicle and bridge, and create the data set of the vehicle and bridge’s response. …”
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Development of the 10-question household foodwork interactional assessment questionnaire (FIA-Q10) by Leah E. Cahill, Sharon I. Kirkpatrick, Catherine L. Mah, Jennifer LP. Protudjer, Cynthia Kendell, Mary E. Jung, Helen Wong, Ellen T. Crumley, Meghan Day, Karen T. Y. Tang, Yan Huang, Jyoti Sihag, Laura Brady, Karthik K Tennankore, Navdeep Tangri, Rebecca C. Mollard, Dylan MacKay

“…Methods Through informal interviews with partners with lived experience, clinicians, and researchers, a literature review, a stakeholder meeting of advisors, and a two-round electronic Delphi process including face/content validation by expert panelists (n = 21), we developed the 10-question household foodwork interactional assessment questionnaire (FIA-Q10). An optional accompanying module was developed to collect self-identified demographic data to provide context for understanding how social-structural positionality factors may interact to influence foodwork. …”
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Spatiotemporal dynamics of tumor-CAR T-cell interaction following local administration in solid cancers. by Katherine Owens, Aminur Rahman, Ivana Bozic

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Partner support and interactions with communities show mixed effects on governance of community‐based resources by Eleanor Roxburgh, Morena Mills, Sangeeta Mangubhai, Alifereti Tawake, Margaret Vakalalabure, Hugh Govan, Arundhati Jagadish, Tanya O'Garra

“…Our data, collected from Fiji using key informant interviews, demonstrates that there is no clear association between partner support and effective community governance of marine resources. …”
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Navigating the digital dilemma: the impact of Internet addiction on social interaction among nursing students by Mudita R. Sharma, Manisha Gupta, Dolly John Shiju, Shatrughan Pareek

“…Materials and Methods: A quantitative research design was adopted, and data were collected from 128 nursing students using convenience sampling. …”
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Development of interactive learning media assisted by scratch to enhance understanding of rectangle and square concepts by Lioni Anka Monalisa, Arika Indah Kristiana, Arif Fatahillah, Edy Wihardjo, Valydhifa Ailly Aulia, Saddam Hussen, Oluwanife Segun Falebita

“…The rapid development of technology sparks an increase in educational innovations, one of which is the use of interactive learning media. Interactive learning media is a tool to gradually improves the delivery of mathematics learning materials. …”
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An Assessment of Human–AI Interaction Capability in the Generative AI Era: The Influence of Critical Thinking by Feiming Li, Xinyu Yan, Hongli Su, Rong Shen, Gang Mao

“…Data were collected from 121 undergraduates completing two real-world tasks with GenAI, and their interaction processes were documented and evaluated. (3) Results: The indicators showed acceptable inter-rater and internal consistency reliability. …”
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Digital traps: How technology fuels nomophobia and insomnia in Taiwanese college students by Yi-Ching Lin, Po-Ching Huang

“…This study investigates the relationship between maladaptive digital technology use, which arises from nomophobia, and insomnia among young adults. …”
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Isobutyrate Confers Resistance to Inflammatory Bowel Disease through Host–Microbiota Interactions in Pigs by Xiuyu Fang, Haiyang Liu, Junling Liu, Yongqing Du, Zihan Chi, Yiqi Bian, Xuan Zhao, Teng Teng, Baoming Shi

“…In conclusion, our findings demonstrate that isobutyrate confers resistance to IBD through host–microbiota interactions, providing a theoretical basis for the use of isobutyrate in alleviating colitis.…”
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Estimating the incidence of actionable drug-gene interactions in Japanese patients with major depressive disorder by Masakazu Hatano, Masashi Ikeda, Takeo Saito, Masami Miyata, Nakao Iwata, Shigeki Yamada

“…Antidepressant prescription rates were calculated using a nationwide hospital-based database (Medical Data Vision Co., Ltd). …”
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Migraine and increased cardiovascular disease risk: interaction with traditional risk factors and lifestyle factors by Ying Huang, Wen Yan, Yifan Jia, Qingfang Xie, Yuexiu Lei, Zepeng Chen, Yanjie Zhou, Zheman Xiao

“…Furthermore, a significant interaction between migraine and an unhealthy lifestyle was observed in ASCVD risk, evident at both additive and multiplicative levels (P for additive interaction = 0.016; P for multiplicative interaction = 0.041). …”
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The Influence of Powerful Interactive Joyful Teachers, Learning Motivation, And Learning Behavior on Academic Achievement by Ning Tresno Mulyani, Suriswo Suriswo, Rahmad Agung Nugroho

“…Data analysis used multiple linear regression analysis. …”
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