Comparing HeartModelAI and cardiac magnetic resonance imaging for left ventricular volume and function evaluation in patients with dilated cardiomyopathy by Mahboobeh Sheikh, Sahar Asl Fallah, Muhammadhosein Moradi, Arash Jalali, Ahmad Vakili-Basir, Mohammad Sahebjam, Haleh Ashraf, Arezou Zoroufian

“…Abstract Background Integration of artificial intelligence enhances precision, yielding dependable evaluations of left ventricular volumes and ejection fraction despite image quality variations. …”
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Canine-assisted therapy in reducing stress and anxiety levels of university students: systematic review and meta-analysis of randomized controlled trials by Shu Qing Sim, Zhiwei Liu, Zishuo Wu, Sian Wang, Claudia Nisa

“…Further studies are necessary to examine factors influencing methodological diversity and refine the integration of CAT within university settings.…”
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Austria under the auspices of global agritourism values: a narrative literature review by Erika Quendler, Hans Embacher, Vincent Magnini, Alexander Plaikner, Alexander Plaikner, Rike Stotten

“…Its growing popularity raises questions about common definitions and their variations. With this in mind, the Global Agritourism Network Committee's Definitions and Standards elaborated a series of core global values. …”
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Mendelian Randomization Analysis Reveal the Role of Circulating Inflammatory Proteins in Mediating Functional Brain Networks and Peripheral Neuropathic Pain Effects by Wen‐Hui Liu, Hui‐Min Hu, Chen Li, Qing Shi, Yi‐Fan Li, Peng Mao, Bi‐Fa Fan

“…ABSTRACT Objective: The perception of pain is thought to arise from the integration of information between multiple brain regions. …”
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Impact of “Enhanced Recovery After Surgery” (ERAS) protocols vs. traditional perioperative care on patient outcomes after colorectal surgery: a systematic review by Vaishnavi Kannan, Najeeb Ullah, Sunitha Geddada, Amir Ibrahiam, Zahraa Munaf Shakir Al-Qassab, Osman Ahmed, Iana Malasevskaia

“…Conclusion This systematic review provides compelling evidence supporting the integration of ERAS protocols into standard colorectal surgical practices. …”
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Deep learning applications for human embryo assessment using time-lapse imaging: scoping review by Rawan AlSaad, Leen Abusarhan, Nour Odeh, Alaa Abd-alrazaq, Fadi Choucair, Rachida Zegour, Arfan Ahmed, Sarah Aziz, Javaid Sheikh

“…BackgroundThe integration of deep learning (DL) and time-lapse imaging technologies offers new possibilities for improving embryo assessment and selection in clinical in vitro Fertilization (IVF).ObjectivesThis scoping review aims to explore the range of deep learning model applications in the evaluation and selection of embryos monitored through time-lapse imaging systems.MethodsA total of 6 electronic databases (Scopus, MEDLINE, EMBASE, ACM Digital Library, IEEE Xplore, and Google Scholar) were searched for peer-reviewed literature published before May 2024. …”
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Recent advancements in aquaponics with special emphasis on its sustainability by Chythra Somanathan Nair, Ramya Manoharan, Drishya Nishanth, Radhakrishnan Subramanian, Elke Neumann, Abdul Jaleel

“…It has witnessed remarkable advancements in recent years, with various methods and variations emerging to enhance its functionality and productivity. …”
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Incorporation of visible/near-infrared spectroscopy and machine learning models for indirect assessment of grape ripening indicators by Osama Elsherbiny, Salah El-Hendawy, Salah Elsayed, Abdallah Elshawadfy Elwakeel, Abdullah Alebidi, Xianlu Yue, Wael Mohamed Elmessery, Hoda Galal

“…Abstract The assessment of grape ripeness is pivotal for optimizing harvest timing and ensuring high-quality fruit production. Traditional methods, relying on manual sampling and chemical analysis, are laborious and expensive. …”
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Spent Mushroom Substrate-Derived Biochar and Its Applications in Modern Agricultural Systems: An Extensive Overview by Worawoot Aiduang, Kritsana Jatuwong, Tanongkiat Kiatsiriroat, Wassana Kamopas, Pimsiri Tiyayon, Rotsukon Jawana, Orlavanh Xayyavong, Saisamorn Lumyong

“…Nevertheless, challenges still exist, particularly in optimizing production methods and ensuring consistency in biochar properties, influenced by variations in pyrolysis conditions and SMS types. …”
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Virtual flux vector reconstruction of a PWM rectifier by CHEN Tie-zhu, ZHANG Yong-jun, XIAO Xiong, LUO Ling-bo

“…The virtual flux space vector of a pulse width modulation (PWM) rectifier usually can be calculated by integrating the grid voltage vector. In practice, the pure integral part is replaced with a first-order low-pass filter (FOLP) to counteract the DC offset error and high frequency harmonic interference. …”
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Comparative analysis between classical and third-order sliding mode controllers for maximum power extraction in wind turbine system by A. Bourouina, R. Taleb, G. Bachir, Z. Boudjema, T. Bessaad, H. Saidi

“…The findings highlight its ability to maintain optimal power extraction even under rapid wind variations, making it a promising solution for advanced wind energy systems. …”
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Novel approach for modelling low enthalpy geothermal in deep sedimentary aquifers: a case study of 40 years of production data in the Dogger formation by Theo Renaud, Joris Popineau, John O’Sullivan, Julien Gasser Dorado

“…The temperature and pressure distributions, instead of being based on geostatistical mapping methods have been obtained from a calibrated natural state model. …”
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Decentralized Frequency Regulation by Using Novel PID Sliding Mode Structure in Multi-Area Power Systems With Hydropower Turbines by Dao Trong Tran, Anh-Tuan Tran, van van Huynh, Ton Duc do

“…Despite the presence of parameter variations and random load conditions, the control objectives remain achievable, highlighting the robustness of the proposed method. …”
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Linguistic-visual based multimodal Yi character recognition by Haipeng Sun, Xueyan Ding, Zimeng Li, Jian Sun, Hua Yu, Jianxin Zhang

“…This paper presents a multimodal Yi character recognition method comprehensively incorporating linguistic and visual features. …”
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Optimization-Based Path Planning With Artificial Potential Function by Seongyeon Kim, Kiyun Gil, Jongho Shin

“…Path planning remains a critical challenge in autonomous ground vehicle (AGV) systems, particularly in dynamic environments where real-time adaptation is essential. Unlike existing methods that often struggle with computational efficiency or environmental adaptability, this study introduces a novel optimization-based approach that seamlessly integrates artificial potential functions with the Levenberg-Marquardt optimization method. …”
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Advanced Control Scheme Optimization for Stand-Alone Photovoltaic Water Pumping Systems by Maissa Farhat, Oscar Barambones

“…This study introduces a novel method for controlling an autonomous photovoltaic pumping system by integrating a Maximum Power Point Tracking (MPPT) control scheme with variable structure Sliding Mode Control (SMC) alongside Perturb and Observe (P&O) algorithms. …”
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Event-Triggered Fault-Tolerant ADRC for Variable-Load Quadrotor with Prescribed Performance by Zhichen Li, Qiaoran Wang, Huaicheng Yan

“…This study proposes an event-triggered fault-tolerant active disturbance rejection control (ADRC) method for variable-load quadrotors with prescribed performance. …”
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Frequency Enhanced Dynamic Graph Convolutional Networks for Traffic Flow Forecasting by Liyuan Wang, Jiafeng Zhuang, Shuo Ma, Hai Lin

“…Additionally, the proposed method integrates the Fourier transform into the loss function to mitigate label autocorrelation and improve long-term forecasting accuracy. …”
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Cross-Subject EEG-Based Emotion Recognition Using Deep Metric Learning and Adversarial Training by Hawraa Razzaq Abed Alameer, Pedram Salehpour, Seyyed Hadi Aghdasi, Mohammad-Reza Feizi-Derakhshi

“…Moreover, most cross-subject training methods assume that the unlabeled data from target subjects is available. …”
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Synergistic Signal Amplification via Weak Value Amplification Effect and Sandwich Structure for Highly Sensitive and Specific Real-Time Detection of CA125 by Bei Wang, Yang Xu, Han Li, Zishuo Song, Tian Guan, Yonghong He

“…In this study, we present a novel aptamer–antibody sandwich module integrated with an imaging weak measurement system to enhance the sensitivity and specificity of biomolecule detection. …”
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