Identification and Redevelopment of Inefficient Industrial Land in Resource-Exhausted Cities: A Case Study of Hegang, China by Yanping Qi, Yinghui Zhao, Jingpeng Guo, Yuwei Wang

“…A multi-dimensional evaluation framework and an adaptive redevelopment strategy system are constructed in this research. By integrating data related to land use status, land use efficiency, policy constraints, and development potential, a parcel-scale assessment model is established. …”
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Optimizing Air Pollution Forecasting Across Temporal Scales: A Case Study in Salamanca, Mexico by Francisco-Javier Moreno-Vazquez, Felipe Trujillo-Romero, Amanda Enriqueta Violante Gavira

“…The primary objective is to identify robust models capable of short- and mid-term predictions, despite challenges related to data inconsistencies and missing values. …”
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Exploring supply and demand imbalance of community-based older adult care: an observational study in Chongqing, China by Yilin Zhou, Xiaoqin Tian, Yuqin Tang, Peng Peng, Dan Deng

“…The top five services, based on the Kano-BW-AHP model, were contact with friends and relatives, emergency assistance, regular medical checkups, older adult canteen and meal delivery, and special policy consultation. …”
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The application of compressed sensing on tumor mutation burden calculation from overlapped pooling sequencing data by Yue Cui, Yi Qiao, Rongming An, Xuan Pan, Jing Tu

“…Additionally, we performed an assessment of the reconstruction efficiency of both the BP model and the OMP model.…”
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Development and assessment of Leaf Area Index of Russia's vegetation cover based on multi-angular observations by KMSS (Meteor-M) and neural network inversion of PROSAIL model by D.E. Plotnikov, Z. Zhou, P.A. Kolbudaev, E.A. Loupian, A.M. Matveev, M.V. Zimin, B.S. Zhukov, T.V. Kondratieva, S.V. Lebedev

“…The method for LAI retrieval based on KMSS data developed within this study will increase the efficiency and operability of applications related to detailed environmental monitoring based on remote sensing data from Russian satellite systems.…”
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Gray matter abnormalities and memory impairment in left mesial temporal lobe epilepsy by Agnieszka Olejnik, Aleksandra Bala, Weronika Rejner, Antonina Gottman-Narożna, Andrzej Rysz, Maja Kopytek-Beuzen, Patrycja Naumczyk, Przemysław Kunert

“…Most previous studies have focused on assessing declarative memory directly related to hippocampal functions, but emerging data suggest a decline in the efficiency of other types of memory as well. …”
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Phenotypic plasticity of bread wheat contributes to yield reliability under heat and drought stress. by Jatinder Singh Sangha, Weiwei Wang, Ron Knox, Yuefeng Ruan, Richard D Cuthbert, Julio Isidro-Sánchez, Lin Li, Yong He, Ron DePauw, Asheesh Singh, Adrian Cutler, Hong Wang, Gopalan Selvaraj

“…Six of these genotypes '01S0263-28', 'AC Foremost', 'MN03358-4', 'Reeder', 'Stettler', and 'Superb' showed higher water use efficiency under irrigated as well as hot and dry environment compared to the low yielding lines 'Red Fife','8021-V2' and 'BW278'. …”
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Mortgage lending targets of housing policy in Russia by A. N. Lozovskaya, M. A. Skorik

“…In  accordance with the aim, the authors set and solved the tasks  as  follows: – the main features, problems and trends are specified in  the development of housing constructions in the Russian Federation  and its subjects;– regional differentiation is estimated in the level of housing provision of population and in the changes in its living conditions,  taking into account the impact of crisis phenomena;– the intensity and directions are determined the of structural changes in the regional distribution of the total volume of housing;– the groups of the Russian regions are revealed, which are differed by the main characteristics of housing conditions of the population and by the scale and activity of housing construction;– the factors and criteria are considered of efficiency of housing property lending and a role of regional banks in this process;– the main problems are revealed, which constrain lending development in Russia.The results of the research are of practical importance for the Federal State Statistics Service in the course of monitoring of the  state of the housing complex at the regional level, as well as for  regional economic agencies in the development of programs for  support and development of the housing construction sector.…”
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Clinical guidelines for sclerotherapy: implementation in actual practice by S. M. Markin, V. Yu. Bogachev, S. V. Grishin, P. F. Kravtsov, K. V. Mazayshvili

“…The simplicity of the sclerotherapy procedure, its high efficiency and low cost along with the possibility of performing the procedure on an outpatient basis stimulate the widespread use of the method.Objective of the study. …”
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Dual-Branch Neural Network-Based In-Loop Filter for VVC Intra Coding Using Spatial-Frequency Feature Fusion by Zhen Feng, Xu Liu, Cheolkon Jung

“…Thus, the dual-branch architecture processes the input data efficiently according to its unique characteristics, while reducing mutual interference. …”
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Human counting versus artificial intelligence for assessing medullation in mohair fibres by N Giovannini, D Sacchero, C Quispe Bonilla, M Quispe Bonilla, E Quispe Peña

“…In each experiment, a set of samples was analysed by both laboratory personnel and by different AI models using a Smart Fiber Medullometer. …”
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Partial Order Ranking of the Key Drivers of Grassland Conversion in the Urban–Grassland Interface: A Case Study of the Hohhot–Baotou–Ordos Region by Xuemei Li, Chang An, Batunacun, Yu Feng, Kaixin Liu, Yong Mei

“…Identifying and ranking the key drivers of grassland conversion at the county level is crucial for developing targeted policies and improving protection efficiency. However, this process faces methodological challenges because of spatial and temporal variability. …”
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The Challenges of AI in Administrative Law and the Need for Specific Legal Remedies: Analysis of Polish Regulations and Practice by Jowanka Jakubek-Lalik

“…Public authorities are discovering the potential of AI systems to improve the efficiency and accuracy of administrative proceedings. …”
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Indicators for an extended length of stay in the emergency service unit of a Thai community hospital: A multi-level analysis by Phichayut Phinyo, Jayanton Patumanond

“…Results: A total of 1,160 emergency visits nested within 16 days study period were included for analysis. 126 (10.9%) visits with an extended length of stay (≥4 hours) and 1,034 visits with a length of stay less than 4 hours were identified. Different patient characteristics and characteristics related to emergency unit between groups were explored. …”
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Irrigation and primary nutrients’ performance on winter maize productivity, profitability, energetics, and carbon footprint in Gangetic plains of India by Saikat Biswas, Rupa Das, Dhananjoy Dutta

“…However, among these two treatments, I2F3 relatively generated less CF and ensured high carbon output and efficiency. …”
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Environmental gestagens: Current insights on ecotoxicity and microbial transformations by Prasiddhi Parab, Sheena Kumari, Prashant Bhagwat, Santhosh Pillai

“…Additionally, this knowledge can be utilised to formulate microbial consortia for synergistic degradation of EGs, ultimately enhancing removal efficiency in environmental bioremediation applications.…”
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Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling by Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, Zahra Kalantari, Jeong-A. Lee

“…Data from 6682 historical flood events, covering eight flood-related geo-environmental factors were used to generate the maps. …”
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Barriers and facilitators of the electronic medical record adoption among healthcare providers in Addis Ababa, Ethiopia by Tadesse Alemu Bekele, Lemma Derseh Gezie, Herman Willems, Jonathan Metzger, Biruhtesfa Abere, Blen Seyoum, Loko Abraham, Naod Wendrad, Selamawit Meressa, Bethel Desta, Tariku Nigatu Bogale

“…Conclusion The study identified different barriers and facilitators to the adoption of the EMR. …”
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Continuous Joint Kinematics Prediction Using GAT-LSTM Framework Based on Muscle Synergy and Sparse sEMG by Meiju Li, Zijun Wei, Zhi-Qiang Zhang, Shuhao Ma, Sheng Quan Xie

“…The proposed framework integrates GAT for relational feature learning with LSTM networks for temporal dependency modeling, leveraging the strengths of both architectures. …”
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Compact, Broadband, and High-Gain Four-Port MIMO Antenna for Future Millimeter Wave Applications by Esraa Mousa Ali, Shine Let Gunamony, Mohamad A. Alawad, Turki Essa Alharbi

“…A wideband antenna with a relatively compact size along with a multiple input and multiple output (MIMO) configuration for millimeter wave applications is proposed in this work. …”
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