Research on the ecological–economic effects of combined planting–breeding modes: a case study of Zizania latifolia–shelduck in China by Wangtengfei Teng, Lidan Xu, Zhidong Li, Moucheng Liu, Didi Rao, Qi Wan

“…Notably, the sale of shelduck products and reductions in agricultural inputs and labor costs were important factors leading to the income gap between the two types of modes. …”
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Comprehensive Performance and Economic Analyses of Transcritical CO₂ Heat Pump Water Heater Suitable for Petroleum Processes and Heating Applications by Dongxue Zhu, Chaohe Fang, Shejiao Wang, Yafei Xue, Liaoliang Jiang, Yulong Song, Feng Cao

“…In order to deeply study the dynamic performance of the air-source transcritical CO₂ heat pump system under the winter climate conditions in the Yan‘an area, this study established a system simulation model with multiple parameter inputs and systematically analyzed the influences of ambient temperature, discharge pressure, and inlet and outlet water temperatures on the heating capacity and COP. …”
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A method for quantifying uncertainty in spatially interpolated meteorological data with application to daily maximum air temperature by C. T. Doherty, C. T. Doherty, W. Wang, H. Hashimoto, H. Hashimoto, I. G. Brosnan

“…Predictive distributions quantitatively describe uncertainty in a manner suitable for propagation into physical models that take meteorological variables as inputs. …”
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Artificial Visual System for Stereo-Orientation Recognition Based on Hubel-Wiesel Model by Bin Li, Yuki Todo, Zheng Tang

“…Our approach involves modeling depth selective cells to receive depth information, simple stereo-orientation selective cells for combining distinct depth information inputs to generate various local stereo-orientation selectivity, and complex stereo-orientation selective cells responsible for integrating the same local information to generate global stereo-orientation selectivity. …”
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Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods by Bayan Banimfreg, Ernesto Damiani, Vesta Afzali Gorooh, Duncan Axisa, Luca Delle Monache, Youssef Wehbe

“…These improvements highlight the model’s ability to assimilate diverse climatic and topographical inputs for more accurate rainfall prediction, particularly in areas where conventional methods fall short due to sparse or irregular precipitation. …”
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A Gravity Data Denoising Method Based on Multi-Scale Attention Mechanism and Physical Constraints Using U-Net by Bing Liu, Houpu Li, Shaofeng Bian, Chaoliang Zhang, Bing Ji, Yujie Zhang

“…Gravity and gravity gradient data serve as fundamental inputs for geophysical resource exploration and geological structure analysis. …”
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Dance and Somatic-Informed Movement in an Acute Inpatient Stroke Unit by Lucie Beaudry, Céline Odier, Sylvie Fortin

“…Collaboration between qualitative and quantitative researchers is needed to make a robust case for such interventions.…”
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Extraction and characterization of humic acid from low-rank coal mined reserves in South Sumatra and its application on red chili (Capsicum annuum L.) in fertilizer exhausted soil by Mega Kartika Hermawan, Emma Trinurani Sofyan, Rija Sudirja, Anne Nurbaity

“…Humic acid (HA) offers a sustainable solution by improving soil health and nutrient uptake while reducing dependence on chemical inputs. However, commercial HA from leonardite is expensive and rarely available in Indonesia. …”
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A MEMS seismometer respiratory monitor for work of breathing assessment and adventitious lung sounds detection via deep learning by Brian Sang, Haoran Wen, Greg Junek, Wendy Neveu, Lorenzo Di Francesco, Justin Romberg, Farrokh Ayazi

“…A data fusion deep learning model was developed which combined the inputs of PIVs lung sounds and the corresponding respiration phase to detect crackle, wheeze and normal breath sound features. …”
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Explainable artificial intelligence for targeted protein degradation predictions by Francis J. Prael III, Jutta Blank, William C. Forrester, Lingling Shen, Raquel Rodríguez-Pérez

“…Explainable ML or, more generally, explainable artificial intelligence (XAI) aims at “opening the black box” by estimating how model inputs – e.g., chemical structures – contribute to model predictions. …”
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Modeling the Impact of Between-lot and Within-lot Variability in Listeria monocytogenes Contamination on Risk Reduction From Sampling Ready-to-eat Foods by Yuhuan Chen, Régis Pouillot, Jane M. Van Doren

“…Data and model inputs included the prevalence and levels of L. monocytogenes, sampling plan parameters, and operating characteristic curve data. …”
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Plug-and-Play Self-Supervised Denoising for Pulmonary Perfusion MRI by Changyu Sun, Yu Wang, Cody Thornburgh, Ai-Ling Lin, Kun Qing, John P. Mugler, Talissa A. Altes

“…Asymmetric pixel-shuffle downsampling blind-spot network (AP-BSN) training inputs were two-dimensional background-subtracted perfusion images without clean ground truth. …”
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La Teoría del andamiaje como herramienta de construcción del pensamiento matemático by Cesar Orlando Vargas Mantilla, Sonia Maritza Mendoza Lizcano, Wlamyr Palacios Alvarado

“…Considering as the main objective of the research to promote the formulation of a pedagogical strategy based on scaffolding as a tool for the construction of mathematical knowledge in higher education in differential calculus students at the Francisco de Paula Santander University in Cúcuta; For this achievement, the theoretical proximities that are implemented in university training spaces must be recognized and established, likewise, the dimensions addressed by the informant teachers must be identified and based on these inputs, a pedagogical strategy must be proposed within the framework of scaffolding theory. …”
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Tea Growing and Socio-Economic Development of Small Holder Farmers: A Case Study of Rushoroza Kabale District. by Byamukama, Hillary

“…The research used both qualitative and quantitative methods of data collection and analysis. …”
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Impact of Smallholder Tea Production in Buhunga Sub-County Rukungiri District. by Kyarisiima, Leticia

“…However, smallholder tea farmers face several challenges, including limited access to quality inputs, market price fluctuations, and inadequate infrastructure. …”
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Menciptakan Layanan Pengawasan Ketenagakerjaan secara Profesional, Moderm dan Bermartabat Berbasis Teknologi Digital by Yeni Nuraeni, Nurlia Rahmatika, Firdausi Nuzula, Faizal Amir Nasution

“…The results of the research are expected to provide input for relevant agencies in the development and development of digital technology in the field of labor inspection. …”
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Process Evaluation of Pragmatic Cluster-Randomized Trials of Digital Adherence Technologies for Tuberculosis Treatment Support: A Mixed-Method Study in Five Countries by Norma Madden, Amare W. Tadesse, Chung Lam Leung, Bianca Gonçalves Tasca, Jason Alacapa, Natasha Deyanova, Nontobeko Ndlovu, Nontobeko Mokone, Baraka Onjare, Andrew Mganga, Kristian van Kalmthout, Degu Jerene, Katherine Fielding

“…Fidelity was evaluated by quantitative indicators, and content analysis of qualitative sub-studies supplemented some indicators. …”
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Diagnostic accuracy of convolutional neural networks in classifying hepatic steatosis from B-mode ultrasound images: a systematic review with meta-analysis and novel validation in... by Akshay Jagadeesh, Chanchanok Aramrat, Santosh Rai, Fathima Hana Maqsood, Adarsh Kibballi Madhukeshwar, Santhi Bhogadi, Judith Lieber, Hemant Mahajan, Santosh Kumar Banjara, Alexandra Lewin, Sanjay Kinra, Poppy Mallinson

“…We quantitatively synthesised diagnostic accuracy metrics for eligible studies using random-effects meta-analyses. …”
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Modeling and Control of a 3DOF Robot Manipulator Using Artificial Fuzzy-Immune FOPID Controller by Worod Adris Shutnan, Nora Ahmed Mohammed, Faris Asaad Abdulmunem, Ali Hamzah Najim, Mustafa Yahya Hassan, Naglaa F. Soliman, Abeer D. Algarni

“…A robotic manipulator is a highly nonlinear, coupled system with many inputs and outputs (MIMO). These days, with the development of technology, using robots has become very common in various fields. …”
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Innovation and implement of green technology in rice production to increase yield and resource use efficiency by Junfei GU, Xianlong PENG, Shiwei GUO, Jianwei LU, Xiaojun SHI, Yixiang SUN, Jianchang YANG

“…While an increase in rice production heavily relies on substantial water and fertilizer inputs, which not only decreases water and fertilizer use efficiencies, but also pose significant environmental risks. …”
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