SolarSegNet: A multimodal frequency-aware network for photovoltaic power stations extraction using Sentinel-1 and Sentinel-2 images in coastal China by Fangxiong Wang, Zhiying Liao, Yingzi Hou, Zhenqi Cui, Yiqi Wang, Jiachen Gong, Haomiao Yu, Junfu Wang, Yuanyi Zhu, Qiao Yu, Jianfeng Zhu

“…Experiments comparing ten multi-source data combinations indicated that the visible-spectral index-SAR scheme performed optimally. …”
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THE COMPARISON OF ARIMA AND RNN FOR FORECASTING GOLD FUTURES CLOSING PRICES by Windy Ayu Pratiwi, Anwar Fajar Rizki, Khairil Anwar Notodiputro, Yenni Angraini, Laily Nissa Atul Mualifah

“…This research seeks to evaluate and compare the performance of ARIMA and RNN in forecasting daily gold futures closing prices using forecast accuracy tests namely RMSE and MAPE, aiming to identify the optimal method that balances accuracy, stability, and adaptability to trends and seasonal variations in the financial market. …”
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Differentiating Latent Tuberculosis from Active Tuberculosis Through Activation Phenotypes and Chemokine Markers HLA-DR, CD38, MCP-1, and RANTES: A Systematic Review and Meta-Analy... by Chaimae Kadi, Narjisse Ahmadi, Anass Houdou, Imad El Badisy, Oumnia Bouaddi, Zakaria Mennane, Nouhaila Najimi, Maryam Benlamari, Saber Boutayeb, Mohamed Khalis, Noureddine EL Mtili, Fouad Seghrouchni

“…Design: This study was conducted in accordance with the PRISMA guidelines for systematic reviews and meta-analyses of diagnostic studies. Data sources and methods: We conducted a comprehensive search of PubMed, Scopus, Sciences Direct, and Web of Science for primary studies published in English up to 2023. …”
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Diversity of Bioactive Compounds in Microalgae: Key Classes and Functional Applications by Maslin Osathanunkul, Suebsuya Thanaporn, Lefkothea Karapetsi, Georgia Maria Nteve, Emmanouil Pratsinakis, Eleni Stefanidou, Giorgos Lagiotis, Eleni Avramidou, Lydia Zorxzobokou, Georgia Tsintzou, Artemis Athanasiou, Sofia Mpelai, Constantinos Constandinidis, Panagiota Pantiora, Marián Merino, José Luis Mullor, Luka Dobrovic, Leonardo Cerasino, Tomohisa Ogawa, Meropi Tsaousi, Alexandre M. C. Rodrigues, Helena Cardoso, Rita Pires, Daniel Figueiredo, Inês F. Costa, Catarina Anjos, Nikolaos E. Labrou, Panagiotis Madesis

“…Microalgae offer a sustainable and versatile source of bioactive compounds. Their rapid growth, efficient CO₂ utilization, and adaptability make them a promising alternative to traditional production methods. …”
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Issues of Interpretation and Application of the Notion of “International Legal Legitimation” by A. M. Korzhenyak

“…Therefore, this phenomenon encapsulates a tremendous applied value in the context of the increasing number of hybrid threats to the national security of our country and the emergence of new sources of such threats.MATERIALS AND METHODS. The theoretical and empirical basis of the research is constituted by domestic and mainly foreign international legal literature with an emphasis on the latest scientific developments and also with reference to the relevant to the topic law enforcement practice (practice of the International Court of Justice) and material of specialised dictionaries. …”
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Game and Application Purchasing Patterns on Steam using K-Means Algorithm by Salman Fauzan Fahri Aulia, Yana Aditia Gerhana, Eva Nurlatifah

“…A normalization process is applied to enhance calculation accuracy. The elbow method determines the optimal number of clusters, resulting in three clusters from the k-means algorithm. …”
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Nurses’ nutritional care practice and associated factors for hospitalized surgical patients; the case of referral hospitals in Bahir Dar City, Ethiopia by Alamirew Enyew Belay, Mulusew Andualem Asemahagn, Kibret Enyew Belay, Aynamaw Embiale Tesega, Gebrehiwot Berie Mekonnen, Yeshimebet Tamir Tsehay, Sosina Tamre Mamo, Mengistu Abebe Messelu, Tiruye Azene Demile, Henok Biresaw Netsere, Wubet Tazeb Wondie, Gebremeskel Kibret Abebe, Ousman Adal, Sileshi Mulatu, Asnake Gashaw Belayneh

“…Gender, access to nutritional information sources, physician orders, nurses to patient ratio, knowledge, and attitude of nurses were factors associated with their practice. …”
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CURRENT TRENDS IN BONE AUGMENTATION DURING DENTAL IMPLANTATION IN PATIENTS WITH PARODONTAL PATHOLOGY AND JAW BONE ATROPHY (LITERATURE REVIEW) by Yu.O. Kinash, L.V. Kinash

“…The study aims to review the current views of various authors on the aetiology and treatment of parodontal diseases, which caused multiple tooth loss and bone atrophy in patients with occlusal pathology, based on the literature sources of scientific and medical information. …”
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Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study by Michael S Deiner, Russell Y Deiner, Cherie Fathy, Natalie A Deiner, Vagelis Hristidis, Stephen D McLeod, Thomas J Bukowski, Thuy Doan, Gerami D Seitzman, Thomas M Lietman, Travis C Porco

“… BackgroundThe use of web-based search and social media can help identify epidemics, potentially earlier than clinical methods or even potentially identifying unreported outbreaks. …”
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Artificial intelligence in hospital infection prevention: an integrative review by Rabie Adel El Arab, Zainab Almoosa, May Alkhunaizi, May Alkhunaizi, Fuad H. Abuadas, Joel Somerville, Joel Somerville

“…AI-supported surveillance systems outperformed traditional methods in accurately identifying infection rates and enhancing compliance with hand hygiene protocols. …”
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Assessment of salt tolerance in peas using machine learning and multi-sensor data by Zehao Liu, Qiyan Jiang, Yishan Ji, Rong Liu, Hongquan Liu, Xiuxiu Ya, Zhenxing Liu, Zhirui Wang, Xiuliang Jin, Tao Yang

“…The results show that: 1) multi-source data fusion significantly improved the accuracy of AGB and SPAD estimation; 2) the CatBoost algorithm achieved the highest performance for AGB estimation (R² = 0.70, RMSE = 1.59 t/hm2, NRMSE = 13.94 %), while the LightGBM algorithm performed best for SPAD estimation (R² = 0.60, RMSE = 2.33, NRMSE = 14.53 %); and 3) The PSTS established based on the optimal estimation data exhibits a strong consistency with the ground-measured data. …”
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Physiological effects and technical strategies of LED supplemental lighting for pitaya cultivation: a review by Ren Chen, Yiming Ding, Wenke Liu, Xianwei Zhan, Kexin Lin, Kaifeng Lian, Weilong Chen, Keyu Wang, Shangfei Lin

“…It also analyzes existing challenges and proposes strategies such as optimizing LED light source design, accurately planning supplemental light periods and durations, and establishing three-dimensional lighting methods. …”
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Knowledge and Practice Regarding Pressure Injury Prevention among Nurses at King Abdul-Aziz Specialist Hospital by Afnan Sahrah, Wafaa Althobaiti, Sahar Albalawi, Ensherah Althobiti, Turki Alfattah, Abdulellah Almalki, Ahlam Alotaibi, Maha Alkhaldi, Talal Alqurashi, Faten Sahrah, Munirah Alfifi, Rami Alnemari, Alaa Alzahrani

“…A statistically significant relationship was observed between participants' knowledge of PI prevention and their education, experience, source of PI education, and the most recent PI training attended (p<0.05). …”
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Synthesis and characterization of zinc-titanium oxide nanoparticles blended methylcellulose derived from Albizia tree as an antibacterial natural polymer composite by Ansam Adnan Hashim, Rashid Jamei

“… This paper seeks to synthesize antibacterial green polymeric composites utilizing extracted cellulose, a natural polymer sourced from biomass. The cellulose was obtained from local agricultural waste. …”
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Life Cycle Assessment of Solid Waste Management in Düzce Province within the Scope of Türkiye’s Decarbonization Policies by Kadriye Elif Maçin

“…Background data were sourced from literature and the ecoinvent 3.7.1 database. …”
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Flow-based Text Style Transfer Model by Zihan ZHANG, Jinqiao DAI, Pin YANG

“…Text style transfer focuses on converting text attributes or styles while preserving the semantic content of the source sentences. Existing methods achieve significant progress in addressing the challenges associated with traditional TST tasks. …”
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Discontinuation of immune checkpoint inhibitors for reasons other than disease progression and the impact on relapse and survival of advanced melanoma patients. A systematic review... by Konstantinos Lallas, Eftychia Chatziioannou, Derya Durak, Georg Frey, Lina Maria Serna-Higuita, Marie-Lena Rasch, Athanassios Kyrgidis, Eleni Timotheadou, Zoe Apalla, Ulrike Leiter, Lukas Flatz, Lukas Flatz, Aimilios Lallas, Teresa Amaral, Teresa Amaral

“…BackgroundDespite durable responses achieved with Immune Checkpoint Inhibitors (ICIs), data about optimal duration of treatment, especially in the context of adverse events, remain scarce.ObjectiveTo systematically review the evidence concerning the impact of treatment discontinuation with ICIs for reasons other than progressive disease (PD) on relapse rates and survival of melanoma patients.MethodsA systematic literature search was conducted in three electronic databases until July 2024. …”
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Large Language Models and Artificial Neural Networks for Assessing 1-Year Mortality in Patients With Myocardial Infarction: Analysis From the Medical Information Mart for Intensive... by Boqun Shi, Liangguo Chen, Shuo Pang, Yue Wang, Shen Wang, Fadong Li, Wenxin Zhao, Pengrong Guo, Leli Zhang, Chu Fan, Yi Zou, Xiaofan Wu

“…Qwen-2 and Llama-3 are high-performance, open-source large language models (LLMs) available online. …”
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The Effect of Sowing Date on Yield and Quality Characteristics of Autumn Sugar Beet (Beta vulgaris L.) Cultivars in Gonbad Kavous by E Paserakloo, A Biabani, S Yarahamdi, A Saberi, M Naeemi, F Taliei

“…IntroductionIn many countries of the world, sugar production is one of the essential aspects of their agricultural economy, and in the meantime, the sugar beet plant, which is cultivated exclusively as a source of sucrose, plays an important role. In recent years, many studies have been conducted in Iran on various aspects of crop, breed, quality and other agricultural characteristics of autumn sugar beet. …”
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Developing a Machine Learning Model for Predicting 30-Day Major Adverse Cardiac and Cerebrovascular Events in Patients Undergoing Noncardiac Surgery: Retrospective Study by Ju-Seung Kwun, Houng-Beom Ahn, Si-Hyuck Kang, Sooyoung Yoo, Seok Kim, Wongeun Song, Junho Hyun, Ji Seon Oh, Gakyoung Baek, Jung-Won Suh

“…Using these observational health care data, we developed machine learning–based prediction models using the observational health data sciences and informatics open-source patient-level prediction package in R (version 4.1.0; R Foundation for Statistical Computing). …”
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