Dynamic reconfiguration of distribution networks considering wind-PV-load scenarios by LIU Ronghui, CHEN Geng, SUN Gaiping, LIN Shunfu, WANG Xu

“…To enhance computational efficiency， Fisher optimal partition is employed to determine optimal reconfiguration intervals. …”
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Penentuan Musim Penangkapan Ikan Ekor Kuning (Blonch, 1791): Studi Perairan Karimunjawa, Indonesia by Pranata Candra Perdana Putra, Setyo Tri Wahyudi, Abu Bakar Sambah, Aida Sartimbul

“…The management of the utilization level of this fish needs to be optimized by considering environmental ethics. …”
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Experimental Study on Fretting Wear Characteristic of Zr-4 Alloy by LIU Haidong1, 2, HE Kai1, FU Jinsheng1, LI Zhengyang3, PU Zengping3, REN Quanyao3, CHEN Deqi4, WANG Ningyuan4

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Characteristics and Influencing Factors of Phosphorus Loss in Watersheds during Typical Rainfall Events by LIU Xiao-rong, DU Xin-zhong, LIU Xin-ru, HAN Yu-guo, AN Miao-ying, LEI Qiu-liang, LIU Hong-bin

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EFCNet: Expert Feature-Based Convolutional Neural Network for SAR Ship Detection by Zheng Chen, Yuxiang Zhang, Jing Bai, Biao Hou

“…Furthermore, EFCNet achieves comparable detection performance to baseline methods while utilizing only 70% of the data capacity, highlighting its efficiency. …”
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A framework to evaluate public green spaces with an emphasis on recreational values for sustainable urban and rural areas: A systematic review and content analysis by Amirmohammad Ghavimi, Frank Schuessler, Roland Pesch

“…The interrelationships among these identified qualities are also elucidated through the content analysis.These qualities can be utilized as a novel approach to evaluate the efficiency of PGSs in promoting sustainability.…”
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Design and Analysis of Helical Cone Coil Heat Exchanger for Low Grade Heat Recovery by Ajay Hundiwale, Lokpriya Gaikwad, Sandeep Joshi

“…The experimental setup included a shell and helical cone coil configuration, utilizing diesel engine exhaust as the hot gas source and tap water as the cold fluid in a counterflow arrangement. …”
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Optimization of Effective Parameters on Biohydrogen Production Using Bioaugmentation by Saeed Khesareh, Seyed-Ahmad Ataei

“…Biohydrogen production is a green method that utilizes organic materials in activated sludge as a substrate. …”
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Crop water stress index assessment of safflower (Carthamus tinctorius L.) under limited water conditions by Hüseyin Tevfik Gültaş

“…The upper base value, which can be utilized in calculations of the CWSI, was determined to be approximately 14.50. …”
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Weak peak identification of gamma spectrum based on singular value decomposition by CHEN Feng, ZHOU Jianbin, LIU Yi

“…BackgroundWhen performing gamma-ray spectroscopy analysis of samples with low levels of radioactive nuclide content, the weak peaks are difficult to be identified.PurposeThis study aims to propose a new method for identifying peaks in γ spectra by utilizing singular value decomposition (SVD) to improve the detection efficiency of weak peaks.MethodsFirstly, the matrix construction of spectrum data was improved by transforming the γ spectrum into a two-way cyclic matrix, and singular value decomposition of matrix was performed to get singular values and singular vectors. …”
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Optimizing n-3 PUFA dietary enrichment in slow-growing Korat chickens using lipid-based nanoparticles: Effects on growth performance, carcass traits, meat quality, meat fatty acid... by Piyaradtana Homyok, Wunpen Sonsamrong, Nitipol Chainet, Wichuta Khosinklang, Anyanee Kamkaew, Teerapong Yata, Elisabeth Baéza, Cécile Berri, Amonrat Molee, Wittawat Molee

“…This research aimed to investigate the optimization of lipid-based nanoparticles to improve the utilization of n-3 PUFA source in chicken diets. Three groups of slow-growing Korat chickens were reared under the same conditions and fed a diet containing 6 % rice bran oil (RBO, control group), 3 % tuna oil (3 % TO) and 3 % tuna oil in targeted lipid-based nanoparticles (3 % TO-TNP). …”
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Evaluating Conflict Management Strategies and Supply Chain Performance: A Systematic Literature Review Within Jordan’s Food Manufacturing Sector by Aydah Almasri, Ma Ying, Reem Aljaber, Jean Pierre Namahoro

“…Framed within smart city initiatives and sustainable development goals (SDGs 9, 11, and 12), this study addresses critical gaps identified in the literature, particularly the lack of integrated examination of CMS impacts in emerging markets like Jordan. Utilizing thematic analysis, this review consolidates key findings across relevant studies from 2010 to 2025 sourced from top-tier databases. …”
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Review on the Pre-treatment Advancements of Biogas Production Barriers by Amoo, A.O., Ijanu, E.M., Haruna, A., Adeleye, A.O, Sabo, A.

“… Biogas production is a promising renewable energy source that can reduce greenhouse gas emissions and improve environmental health. …”
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Oil spill classification based on satellite image using deep learning techniques by Abubakar Salihu Abba, Noorfa Haszlinna Mustaffa, Siti Zaiton Mohd Hashim, Razana Alwee

“…This paper applied three deep-learning algorithms for satellite image classification, including ResNet50, VGG19, and InceptionV4; They were trained and tested on an open-source satellite image dataset to analyze the algorithms' efficiency and performance and correlated the classification accuracy, precisions, recall, and f1-score. …”
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In-situ synthesis of hydroxyapatite-supported Ag3PO4 using cockle (Anadara granosa) shell as photocatalyst in rhodamine B photodegradation and antibacterial agent by Is Fatimah, Rahmania Audita, Gani Purwiandono, Habibi Hidayat, Suresh Sagadevan, Won-Chun Oh, Ruey-an Doong

“…A nanocomposite of hydroxyapatite-supported Ag3PO4 (Ag3PO4/HA) was prepared by in-situ co-precipitation followed by hydrothermal method by utilizing cockle (Anadara granosa) shell as biogenic calcium source. …”
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Preparation of Nitrogen-Doped Carbon-Supported Co-V Catalyst for Catalystic Depolymerization of Lignin to Produce Monophenolic Compounds by Yuqiao MA, Xingwang LIU, Yong QIAN, Xinping OUYANG

“…However, its complex chemical structure presents significant challenges to efficient degradation. This study addresses this limitation by developing a nitrogen-doped carbon-supported Co-V catalyst, synthesized using cobalt nitrate hexahydrate, ammonium metavanadate, and melamine as precursors. …”
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Quasi-synchronous thermocompensation for ISFET-based ionometric devices. Part 2: Implementation by Alexey Pavluchenko, Aleksandr Kukla

“…Circuit diagrams for the main components of transducer — namely, the programmable voltage source for ISFET biasing and the transimpedance amplifier for the sensor output readout — are presented, as well as the experimental estimation of the ISFET sensor thermometric properties and the efficiency of thermocompensation.…”
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Reliable DC Shipboard Power Systems—Design, Assessment, and Improvement by Robin van der Sande, Aditya Shekhar, Pavol Bauer

“…Targeting a climate-neutral maritime sector drives the adoption of the all-electric ship (AES). While AESs can utilize both ac and dc shipboard power systems (SPS), a dc system offers advantages in efficiency, power density, and source synchronization. …”
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Vibration Signal-Based Fault Diagnosis of Rotary Machinery Through Convolutional Neural Network and Transfer Learning Method by Chirag Mongia, Shankar Sehgal

“…To address this limitation, a transfer learning (TL)-based methodology has been developed for bearing fault detection, so that the model trained under some specific training conditions can perform accurately under significantly different real-time working conditions, thereby significantly improving diagnostic efficiency while reducing training time. Initially, a deep learning approach utilizing convolutional neural networks (CNNs) has been employed to diagnose faults based on vibration data. …”
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TSMixer- and Transfer Learning-Based Highly Reliable Prediction with Short-Term Time Series Data in Small-Scale Solar Power Generation Systems by Younjeong Lee, Jongpil Jeong

“…In the process of developing a prediction model suitable for the target domain by utilizing multi-source data, we propose a data similarity evaluation method using DTW, which demonstrates excellent performance with low error rates in the MSE and MAE metrics compared with conventional long short-term memory (LSTM) and Transformer models. …”
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