Pruning Branch Recognition and Pruning Point Localization for Walnut (<i>Juglans regia</i> L.) Trees Based on Point Cloud Semantic Segmentation by Wei Zhu, Xiaopeng Bai, Daochun Xu, Wenbin Li

“…Intelligent pruning technology is significant in reducing management costs and improving operational efficiency. In this study, a branch recognition and pruning point localization method was proposed for dormant walnut (<i>Juglans regia</i> L.) trees. …”
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Evaluating Scientific Potential in Kazakhstan: A Regional Index Assessment Approach by O. S. Adilkhanov, O. S. Sabden, Sh. K. Turdalina, Sh. Zh. Tuebekova

“…As a result of the study, it was found that the number of people engaged in science in the regions is directly affected by the internal costs of research work in the regions. At the end of the article, recommendations were given on increasing scientific and high intellectual potential. …”
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DISTRIBUTED LEDGER AND ITS POTENTIAL APPLICATION by I. A. Belarev, A. S. Obaeva

“…The article is highly relevant as the technology is a perfect opportunity to develop the financial system in terms of reducing costs and improving efficiency. The authors suggest a few brief definitions of such terms as distributed ledger, block-chain, bitcoin and mining. …”
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African Index Medicus: Improving access to African health information by Mohamed Atani, Marie P. Kabore

“…There also remain the more basic constraints of costs, training, marketing and the low status of both research and publishing. …”
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And Plato met ChatGPT: an ethical reflection on the use of chatbots in scientific research writing, with a particular focus on the social sciences by Reyes Calderon, Francisco Herrera

“…By interacting with LLM-chatbots, researchers could reduce efforts and costs as well as improve efficiency, but taking important risks, limitations, and weaknesses, which could highly-order erosion scientific thought. …”
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Fatty acid composition of total lipids and phospholipids of muscular tissue and brain of rats under the impact of vibration by N. M. Kostyshyn, M. R. Grzegotsky, J. F. Rivis

“…These processes are caused by activation of self-defense mechanisms of the body under the conditions of deviations from stabilized physiological norm, since adaptation requires certain structural and energy costs. Increase in the relative quantity of saturated and monounsaturated fatty acids in phospholipids of muscles and brain and simultaneous reduction in concentration of polyunsaturated fatty acids are observed. …”
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Carbon dioxide injection for enhanced gas recovery and storage (reservoir simulation) by Chawarwan Khan, Robert Amin, Gary Madden

“…In addition, various CO2 costs involved in the CO2-EGR and storage were investigated to determine whether this technique is feasible in terms of the CO2 content in the production as a preparation stage to achieve the economic analysis for the model.…”
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The Association between Chronic Widespread Musculoskeletal Pain, Depression and Fatigue Is Genetically Mediated. by Andrea Burri, Soshiro Ogata, Gregory Livshits, Frances Williams

“…<h4>Background</h4>Chronic widespread muscoloskeletal pain (CWP) is prevalent in the general population and associated with high health care costs, so understanding the risk factors for chronic pain is important for both those affected and for society. …”
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Optimization of distribution risk of hazardous materials in the production routing problem by Amin Farahbakhsh, Amirsaman Kheirkhah

“…Previous research has examined the effectiveness of this combination in reducing costs. In this paper, the production routing problem is considered with the aim of minimizing the risk of production and distribution of hazardous materials. …”
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La megasequía de 1626-1635 y sus impactos en el valle medio del Ebro (España) by Josep Maria Cuadrat, Francisco Javier Alfaro Pérez, Ernesto Tejedor Vargas, Mariano Barriendos, Roberto Serrano-Notivoli

“… El estudio analiza la severidad de la megasequía del período 1626-1635 y sus consecuencias en la economía y la población del valle medio del Ebro, a partir de fuentes proxy documentales y dendroclimáticas y los registros históricos del coste de los cereales y la evolución demográfica. …”
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Reimagining Knee Surgery: The Promises and Pitfalls of Augmented and Virtual Reality in Orthopedic Training and Preoperative Planning by Kyriakos Bekas, Alexandros Stamatopoulos, Ioannis Kechagias, Konstantinos Vamvakeros, Ioannis Bampis, Achilleas Boutsiadis

“…However, both modalities face limitations such as high costs, technical integration challenges, limited haptic feedback, and varying user adaptability. …”
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Tilapia disease surveillance and sampling plans for epidemiological surveys and monitoring: a review by Ricardo S. Raposo, Marina K.V.C. Delphino, Lucas P.O. Rezende, Fabiano J.F. Sant’Ana

“…In the Distrito Federal, the only federal unit in Brazil that has a surveillance plan for tilapia diseases, the models applied were defined based on risk-based surveillance strategies and sampling of symptomatic animals to adjust logistical/laboratory costs and increase the sensitivity of epidemiological surveys.…”
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5G-Smart Diabetes: Building Health Care Big Data Clouds for Individualized Diabetes Diagnosis by Mudda Mallikarjun, M Ambika, Kumar G. Ganesh, Choubey Shruti Bhargava

“…Using existing 5G technology, this program will keep tabs on diabetic patients’ wellbeing while keeping costs down. A lot of people nowadays are coping with diabetes because they made poor lifestyle choices or because they were too stressed out at work. …”
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Additive Manufacturing Technologies and Their Applications in Dentistry: A Systematic Literature Review by Dragana Oros, Marko Penčić, Marko Orošnjak, Slawomir Kedziora

“…Additive manufacturing (AM) has emerged as a transformative technology in dentistry, enabling the production of patient-specific dental applications with reduced costs and fabrication times. Despite the growth of applications, a consolidated understanding of current 3D printing technologies, materials, and performance in dental settings remains fragmented. …”
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Sand Improvement by Surface Percolation Method Using Urease-Containing Substance Extracted from Soybean Seed by Amirreza Pirghazani, Hooshang Katebi, Hossein Samadi Kafil, Ahmad Fahmi

“…Purchasing the extracted and purified commercially available plant-derived urease for the sand improvement is costly. The plant-derived urease-containing crude extract (enzyme substance) is cheaper than purified (commercial) urease. …”
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A Pipeline for Multivariate Time Series Forecasting of Gas Consumption in Pelletization Process by Thadeu Pezzin Melo, Jefferson Andrade, Karin Satie Komati

“… Gas consumption is a critical aspect of the pelletizing process, directly influencing operational costs and environmental impact. This study investigates the application of a multivariate time series forecasting pipeline for predicting gas consumption in pelletizing plants. …”
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Real‐time estimation of olive flounder growth in indoor aquaculture using cameras combined with a grid by Hang Thi Phuong Nguyen, Myoungjae Jun, Hieyong Jeong

“…Abstract Estimating fish growth in real time has many benefits for indoor aquaculture farms, such as saving labor time and costs, reducing water pollution during feeding, improving feeding activity and determining when to harvest. …”
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Updating Categorical Soil Maps Using Limited Survey Data by Bayesian Markov Chain Cosimulation by Weidong Li, Chuanrong Zhang, Dipak K. Dey, Michael R. Willig

“…Updating categorical soil maps is necessary for providing current, higher-quality soil data to agricultural and environmental management but may not require a costly thorough field survey because latest legacy maps may only need limited corrections. …”
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Pursuing Urban Liveability with Nature-Based Solutions. A Multi-Faceted Strategy Towards Sustainability by Silvia De Nardis

“…Created to deal with the costs of climate change, ecosystem degradation and biodiversity loss, they soon became a multi-faceted strategy via which to tackle societal challenges. …”
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Enhancing diabetes risk prediction through focal active learning and machine learning models. by Wangyouchen Zhang, Zhenhua Xia, Guoqing Cai, Junhao Wang, Xutao Dong

“…This method aims to overcome common challenges, such as poor performance on minority classes and limited generalization, by enabling more efficient data utilization and reducing labeling costs. The experimental results demonstrated that our approach significantly improved the evaluation metrics for diabetes risk prediction, achieving an accuracy of 97.41% and a recall rate of 94.70%, clearly outperforming traditional models that typically achieve 95% accuracy and 92% recall. …”
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