Molecular Basis of Lipid Metabolism in <i>Oryza sativa</i> L. by Longxue Chang, Zhichao Liu, Xiaoping Ying, Baxtiyor Kalandarov, Muhammad Ergashev, Xiaohong Tong, Jian Zhang, Jian Jin, Jiezheng Ying

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Ecological space delineation and security analysis in the hilly areas of chongqing, China by Wenyou Han, Wenyou Han, Jie Lei, Jie Lei, Wei Wang, Wei Wang, Runxia Gao, Runxia Gao, Jinglian Tian, Jinglian Tian, Jinhong Wang, Jinhong Wang

“…Taking Chongqing, China as a case study, this paper systematically developed an special evaluation system for ecosystem sensitivity (ES) and ecosystem service function (ESF) in hilly and mountainous areas, utilizing various sources of data from the year 2022 to support the delineation of ecological space types (EST), and analyzing ecological pattern security issues in conjunction with the current land use status. …”
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Ivacaftor–tezacaftor–elexacaftor, tezacaftor–ivacaftor and lumacaftor–ivacaftor for treating cystic fibrosis: a systematic review and economic evaluation by Steven J Edwards, Benjamin G Farrar, Kate Ennis, Nicole Downes, Victoria Wakefield, Isaac Mackenzie, Archie Walters, Tracey Jhita

“…Most people with CF experience progressive lung function loss over their lifetime, and lung disease is the primary cause of death for people with CF. …”
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Production chain and COVID-19 disruption: Sustainability via flexibility framework a case of the beverage industry by Adedugba Adebayo, Adeyemo Felicia, Oreagba Oluwakemi

“…A purposive method was utilized as an information-gathering source from 200 participants. …”
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Overview of solutions to improve efficiency of ground source heat pump system by ZHANG Yuping, YANG Xiao, LIU Jun, LIU Boyang, TANG Fujiao, TAN Yiqiu

“…Shallow geothermal energy, with applications ranging from road snow melting and deicing to building heating/cooling, primarily utilizes closed-loop vertical buried pipes for resource exploitation. …”
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Zinc Glycine supplementation improves bone quality in meat geese by modulating gut microbiota, SCFA's, and gut barrier function through Wnt10b/NF-κB axis by Zeshan Zulfiqar, Muhammad Arslan Asif, Mengqi Liu, Shuhang Zhang, Hamid reza Rafieian Naeini, Yalei Cui, Boshuai Liu, Yinghua Shi

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NSGA-II-based load resource management for frequency and voltage support by Yaxin Wang, Zhihang Zhu, Zhihong Yu, Zigan Wang

“…This is primarily due to the fluctuating and intermittent nature of renewable energy sources and the uncertain electricity demand. To address these issues, this study proposes a load resource management (LRM) method to cope with the sudden power disturbances. …”
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Rice bran as a sustainable source for value added materials: an overview by A. S. Nidhishree, Rachel Alveera Menezes, H. Venkatachalam, K. Subrahmanya Bhat

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Electrophysiological characterization of sourced human iPSC-derived motor neurons by Bohumila Jurkovicova-Tarabova, Robin N. Stringer, Zuzana Sevcikova Tomaskova, Norbert Weiss

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The Characterization of Peach Pomace and the Influence of Its Incorporation on the Chemical Composition of Biscuits by Maria Mandache, Carmen Mihaela Topală, Loredana Elena Vijan, Sina Cosmulescu

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Optimizing energy and load management in island microgrids for enhancing resilience against resource interruptions by Majid Hosseina, Mahmoud Samiei Moghaddam, Amir Hassannia

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A new stochastic multi-objective model for the optimal management of a PV/wind integrated energy system with demand response, P2G, and energy storage devices by Hossein Faramarzi, Navid Ghaffarzadeh, Farhad Shahnia

“…The proposed method enhances flexibility and ultimately increases system stability while maintaining diversity in energy sources. Additionally, the utilization of equipment such as various storage devices and P2G enhances system resilience, reducing load fluctuations and improving resource utilization. …”
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Droughts and windstorms due to climate change increase variability in species and trait composition of a subtropical monsoon evergreen broadleaf forest in China by Wenjing Chen, Lei Liu, Daijun Liu, Josep Penuelas, Guoyi Zhou, Zhen Yu, Anchi Wu, Zhurong Wu, Langqin Hua

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A Joint Optimization Model for Energy and Reserve Capacity Scheduling With the Integration of Variable Energy Resources by M. Wajahat Hassan, Thamer Alquthami, Ahmad H. Milyani, Ashfaq Ahmad, Muhammad Babar Rasheed

“…In this paper, a two-stage approach is proposed on a joint dispatch of thermal power generation and variable resources including a storage system. Although, the dispatch of alternate energy along with conventional resources has become increasingly important in the new utility environment. …”
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Future perspectives on internet of vehicles resource management: digital twin-enabled edge computing frameworks by Jihong Xie, Gui Wu, Xiang Zhou, Shanshan Deng

“…Abstract The Internet of Vehicles (IoV) enables advanced developments in automotive systems to communicate with interconnected devices, enhancing traffic flow, security, and utility functions. Edge computing and Digital Twins (DTs) facilitate effective resource management in the IoV. …”
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PhosphoPep—a phosphoproteome resource for systems biology research in Drosophila Kc167 cells by Bernd Bodenmiller, Johan Malmstrom, Bertran Gerrits, David Campbell, Henry Lam, Alexander Schmidt, Oliver Rinner, Lukas N Mueller, Paul T Shannon, Patrick G Pedrioli, Christian Panse, Hoo‐Keun Lee, Ralph Schlapbach, Ruedi Aebersold

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Model-assisted analysis on the response of tomato fruit growth to source-sink ratio regulated by water and nitrogen by Huiping Zhou, Jinliang Chen, Shaozhong Kang

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A twenty-two-year journey of sustainable human resource management research: bibliometric analysis by Md. Nazmus Sakib, Md. Akmol Uddin, Towhida Akter Kona, Kanta Sharmin, Md. Mizanur Rahman, Mohammad Sahabuddin

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MODFLOW Application for Exploitable Groundwater Resource Assessment of the Zhem Artesian Basin Aquifer Complex, Kazakhstan by Daniyar Serikovich Sapargaliyev, Yermek Zhamshitovich Murtazin, Vladimir Mirlas, Vladimir Alexandrovich Smolyar, Yaakov Anker

“…The hydrodynamic interactions between the 123 known aquifer segments and recharge zones of these promising, exploitable, high-quality groundwater sources are unclear. While MODFLOW is a nominal platform for groundwater flow assessment, which is usually used for the simulation of simple hydrological scenarios, in this study, integrating several different scales and functional modules over a GIS platform enabled delineation and the forecast of this multi-layer aquifer complex. …”
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Multi-Source Rainfall Data Assimilation based on Broad Learning System over Yunnan Province by Yuanyuan ZHOU, Xiaohui YANG, Tiangui XIAO

“…The accurate estimation of rainfall is always a topic of concern， given its pivotal role in accurately predicting rainfall-related disasters.This study proposed a multi-source rainfall assimilation technology based on a broad learning system （BLS） to improve the accuracy of rainfall estimation.Yunnan Province， located in China's low-latitude plateau， was chosen as the geographical area of interest to establish a multi-source rainfall assimilation model within this region.In particular， the model utilizes five satellite-derived rainfall datasets （3B42V7， IMERG， GSMaP， CMORPH， PERSIANN） and the latitude and longitude information as the source data， and the ground-based rainfall gauge data serves as the reference data.The time span of all the datasets is from April 2014 to December 2017.A leave-one-year-out cross-validation （LOYOCV） method was applied to verify the performance of the established assimilation model， where statistical indicators including Pearson’s correlation coefficient （CC）， root-mean square error （RMSE）， mean absolute error （MAE）， Nash efficiency coefficient （NSE） and Kling-Gupta efficiency （KGE） were used to quantify the accuracy of assimilation rainfall at different spatiotemporal scales.Concurrently， assimilation models based on support vector machine （SVM） and deep neural network （DNN） were established to highlight the accuracy and efficiency of the BLS， respectively.Additionally， the effectiveness of the latitude and longitude information within the proposed assimilation model was examined.The results show that the daily average statistical index of assimilation rainfall based on BLS is better than that of the other five satellite-based products in LOYOCV.At the temporal scale， the proposed assimilation technique effectively reflects the temporal variations observed in gauge-recorded rainfall.Moreover， it can accurately estimate the rainfall amounts during rainstorms in Yunnan Province throughout 2017.It is worth noting that the rainfall data generated through the BLS method outperforms the CMORPH product （the most accurate one among the five satellite-derived rainfall products） in both rainy and dry seasons （May to October and November to April of next year， respectively）.At the spatial scale， BLS-based rainfall results in most areas of Yunnan Province showed higher CC and NSE as well as smaller RMSE and MAE than the satellite-based products.The evaluation of the assimilation models based on BLS， SVM， and DNN highlights that the BLS exhibits superior functional mapping capabilities compared to SVM and demands fewer computational resources than DNN.It is reasonable to conclude that the multi-source rainfall assimilation approach utilizing the BLS while incorporating latitude and longitude information can enhance the precision of rainfall estimates in Yunnan Province.The proposed method presents practical significance in multi-source rainfall data assimilation.…”
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