Characterization of landuse and landcover dynamics and their impact on runoff generation patterns in dam catchments of Northern Ghana by Etienne Umukiza, Felix K. Abagale, Thomas Apusiga Adongo

“…In addition to the impact of LULC and watershed characteristics on runoff, the observed variations in runoff patterns can be attributed to interannual variability in total annual precipitation which is critical driver of runoff. …”
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Negotiation impact in Supply Chain Management by Elena-Simona Ionel

“…Using qualitative research method through an analysis of recent qualitative and quantitative research, including meta-analysis and case studies, the author identifies negotiation as a strategic leverage that increases supply chain reactivity and efficiency. …”
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Enhancing Soil Moisture Estimates Through the Fusion of SMAP and GNSS-R Data at 3-Km Resolution for Daily Mapping by Paulo T. Setti, Sajad Tabibi

“…A linear regression-based algorithm retrieves soil moisture from both CYGNSS and Spire data, which, despite showing biases relative to one another, exhibit similar sensitivities to soil moisture variations. The 9-km fused product integrates observed and interpolated GNSS-R estimates to complement daily SMAP 9-km maps, while the 3-km product refines GNSS-R retrievals using available SMAP data. …”
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Spatiotemporal Evolution and Driving Factors of Coupling Coordination Degree Between New Urbanization and Urban Resilience: A Case of Huaihai Economic Zone by Heng Zhang, Shuang Li, Jiang Chang

“…The development indices of the two systems were measured using the entropy weight-CRITIC method. The spatiotemporal evolution characteristics of their coupling coordination degree (CCD) were analyzed through a CCD model, while key driving factors influencing the CCD were investigated using a grey relational analysis model. …”
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Influence of psychosocial factors and parent–student relationships on the academic engagement of TCM students: a structural equation modeling and multi-criteria decision-making fra... by Liang Shaoshuai, Peng Qian, Zhang Yiwen, Xu Meiru

“…Educational institutions should integrate emotional quotient training with traditional cognitive curricula, alongside resilience-building programs and efforts to foster parent-student collaboration. …”
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Harnessing Multi-Source Data and Deep Learning for High-Resolution Land Surface Temperature Gap-Filling Supporting Climate Change Adaptation Activities by Katja Kustura, David Conti, Matthias Sammer, Michael Riffler

“…Unlike traditional satellite-based techniques, our model leverages high-temporal-resolution meteorological data to capture diurnal variations, allowing for more robust LST predictions across different regions and time periods. …”
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Qualitative study on the perceived enablers and barriers to interprofessional education in primary care in Singapore by Cia Sin Lee, Zhimin Poon, Jeremy Cong En He, Bandy Quiling Goh, Cindy Xin Yi Poh, Muthulakshimi Paulpandi, Ee Guan Tay, Jascha De Nooijer

“…This study aims to identify the perceived enablers and barriers of IPE, taking diabetes care as an example, among practising professionals, educators, and institution leaders in primary care. Methods A qualitative study was conducted in primary care clinics in Singapore. …”
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Evaluation of Grouting Effectiveness on Cracks in Cement-Stabilized Macadam Layer Based on Pavement Mechanical Response Using FBG Sensors by Min Zhang, Hongbin Hu, Cheng Ren, Zekun Shang, Xianyong Ma

“…Conducted on the South China Expressway project, the methodology encompassed (1) a method for back-calculating the modulus of the asphalt layer based on Hooke’s Law; (2) a sensor layout plan with FBG sensors buried at the top of the pavement base in seven sections; (3) statistical analysis of the asphalt modulus based on the mechanical response when a large number of vehicles passed; and (4) comparative analysis of modulus variations to establish quantitative performance metrics. …”
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Adaptive Multi-Objective Firefly Optimization for Energy-Efficient and QoS-Aware Scheduling in Distributed Green Data Centers by Ahmed Chiheb Ammari, Wael Labidi, Rami Al-Hmouz

“…When distributed geographically, GDCs face considerable challenges due to spatial variations in renewable energy availability, electricity pricing, and bandwidth costs. …”
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Cotton Leaf Disease Detection Using LLM-Synthetic Data and DEMM-YOLO Model by Lijun Gao, Tiantian Ran, Hua Zou, Huanhuan Wu

“…This study proposes a novel method for detecting cotton leaf diseases based on large language model (LLM)-generated image synthesis and an improved DEMM-YOLO model, which is enhanced from the YOLOv11 model. …”
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Dual-tree wavelet transform based advanced adaptive control for seamless transition in PV-battery hybrid microgrid system by Buddhadeva Sahoo, Mohammed M. Alhaider

“…These findings confirm the proposed method’s superiority in terms of PQ, dynamic stability, and robustness, making it highly suitable for real-time applications and scalable future grid-integrated microgrid deployments.…”
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LAI-Derived Atmospheric Moisture Condensation Potential for Forest Health and Land Use Management by Jung-Jun Lin, Ali Nadir Arslan

“…Kriging interpolation is used to estimate the spatial and temporal variations in the AMC. For management applications, we develop a management suitability score (MSS) and prioritization (MSP) framework by integrating the NCPI and the LAI. …”
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Comparison of Compression Parallel to Grain of Acacia Hybrid for Untreated and Treated at Different Combination of Age Groups by Gaddafi ISMAILI, Mohamad Yakub BIBI SURIANI, Iskanda OPENG, Nur Syahina YAHYA, Ismaili ZURINA

“…The specimens were prepared according to BS 373:1957 and Method of Testing Small Clear Specimens of Timber. …”
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Channel Estimation Using CNN-LSTM in RIS-NOMA Assisted 6G Network by Chi Nguyen, Tiep M. Hoang, Adnan A. Cheema

“…This paper proposes a deep learning (DL)-based channel estimation method using a convolutional long-short term memory (CNN-LSTM) model for RIS-NOMA wireless communication systems that integrate RIS and NOMA techniques. …”
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An optimized ensemble model with advanced feature selection for network intrusion detection by Afaq Ahmed, Muhammad Asim, Irshad Ullah, Zainulabidin, Abdelhamied A. Ateya

“…Traditional machine learning techniques have been extensively employed for this purpose due to their high accuracy and low false alarm rates. However, these methods often fall short in detecting sophisticated and evolving threats, particularly those involving subtle variations or mutations of known attack patterns. …”
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Automatic Detect Incorrect Lifting Posture with the Pose Estimation Model by Gee-Sern Jison Hsu, Jie Syuan Wu, Yin-Kai Dean Huang, Chun-Chieh Chiu, Jiunn-Horng Kang

“…<b>Material and Method:</b> We recruited 50 healthy adults who participated in lifting tasks using correct and incorrect postures to build a robust dataset. …”
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Facile Synthesis and Characterization of SrCO₃/MgO/CaO/CaCO₃ Novel Nanocomposite for Efficient Removal of Crystal Violet Dye from Aqueous Media by Ehab A. Abdelrahman, Maram T. Basha

“…To address this issue, a novel SrCO₃/MgO/CaO/CaCO₃ nanocomposite was synthesized using the Pechini sol-gel method, producing AE500 and AE700 at 500 and 700 °C, respectively, for the efficient removal of crystal violet dye from aqueous media. …”
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Structure and driving factors of tourism information flow networks within urban agglomerations: A case study of six major coastal urban agglomerations in eastern China by DI Qianbin, JIA Wenhan, CHEN Xiaolong

“…Research on the tourism information flow networks within urban agglomerations is crucial for the development of regional tourism in the era of digital economy. [Methods] Using big data analysis from Baidu Index and social network analysis (SNA) method, six urban agglomerations in the east coast of China were taken as examples. …”
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ANALYSIS OF SUSTAINABILITY OF FARMING IN SOUTH CENTRAL TIMOR DISTRICT, INDONESIA by Lengga I.S.S.M., Suasih N.N.R., Yudha I M.K., Utama M.S., Saskara I.A.N.

“…The sample size in this research was to measure 23 farmer groups in South Central Timor Regency with 100 respondents based on the Slovin formula to measure the level of desire of each based on three pillars, namely economic, social and environmental. The sampling method used was snowball sampling. Data collection was carried out through observation, interviews. …”
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GC-Faster RCNN: The Object Detection Algorithm for Agricultural Pests Based on Improved Hybrid Attention Mechanism by Bolun Guan, Yaqian Wu, Jingbo Zhu, Juanjuan Kong, Wei Dong

“…In addition, experiments have also shown that the GC-Faster RCNN detection method can reduce interference from multiple scales and high similarity between categories, improving detection performance.…”
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