Effects of high intensity interval training on trace minerals and physiological parameters in tennis players by Salih Öner, Yavuz Yasul

“…We believe that this may affect both muscle contraction functions and the efficiency performance output. Lastly, due to the decrease of calcium and sodium elements with HIIT implementations, we suggest that HIIT applications should not be performed unsupervised. …”
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Design of Surface Modified Acyclovir-loaded Graphene Oxide–Mesoporous Silica Nanocomposite: Optimization and In Vitro Characterization by Ketan B. Patil, Jayvadan K. Patel, Hardik H. Goswami, Arjun S. Chaudhari

“…At last, different spectral characterizations were performed. The output demonstrated that the entrapment efficiency of ACV-MSN and ACV-GO–MSN was 51.13% and 71.86%, respectively. …”
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Identification of Eye Diseases Through Deep Learning by Elena Acevedo, Dinora Orantes, Marco Acevedo, Ricardo Carreño

“…The network architecture consists of 11 layers, including three convolutional layers, three max pooling layers, one batch normalization layer, one flattening layer, two hidden layers, and one output layer. This model resulted in 97% efficiency across all metrics. …”
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Solving Three Dimensions Volterra Integral Equations (TDVIE) via a Neural Network by Nahdh S. M. Al-Saif, Ameen Sh. Ameen, Ghaith Fadhil Abbas

“…A multi- layers design in our proposed method consist of a hidden layer having seven hidden units. and one linear output unit. …”
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Immune system and intestinal microbiota determine efficacy of androgen deprivation therapy against prostate cancer by Hang Phuong Pham, Douglas G McNeel, Laurence Zitvogel, Corentin Richard, Antoine Toubert, Guido Kroemer, Stéphane Culine, Karim Fizazi, Bertrand Routy, Lisa Derosa, Francesco Asnicar, Nicola Segata, Gladys Ferrere, Florent Ginhoux, Anne-Gaelle Goubet, Safae Terrisse, Kousuke Ueda, Andrew Maltez Thomas, Valentin Quiniou, Cassandra Thelemaque, Garett Dunsmore, Emmanuel Clave, Melissa Gamat-Huber, Satoru Yonekura, Conrad Rauber, Jean-Eudes Fahrner, Eugenie Pizzato, Pierre Ly, Marine Fidelle, Marine Mazzenga, Carolina Alves Costa Silva, Federica Armanini, Federica Pinto, Romain Daillère, Pierre Blanchard, Paule Opolon, Aymeric Silvin

“…In parallel, we prospectively included 65 HSPC and CRPC patients (Oncobiotic trial) to analyze their feces and blood specimens.Results In PC-bearing mice, ADT increased thymic cellularity and output. PC implanted in T lymphocyte-depleted or athymic mice responded less efficiently to ADT than in immunocompetent mice. …”
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A model for classifying information objects using neural networks and fuzzy logic by Vadym Mukhin, Valerii Zavgorodnii, Viacheslav Liskin, Sergiy Syrota, Aleksandra Czupryna-Nowak, Bohdan Rusyn, Arkadiusz Banasik, Jacek Woloszyn, Wojciech Kempa

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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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Effect of seed priming and foliar application of organic liquid manure on germination, growth, yield and quality of late-sown wheat by Okram Ricky Devi, Omvati Verma, Bibek Laishram, S. Anbarasan, Abhijit Debnath, Narinder Panotra, Priyanka Elumle, Sunita T. Pandey, R. Ajaykumar, Samreen

“…From the current research, it can be concluded that HK is a successful and cost-efficient method that may be utilized to increase crop production under late-sown conditions.…”
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SISTEM PENDUKUNG KEPUTUSAN TENDER PROYEK MENGGUNAKAN METODE BENEFIT COST RATIO by Siti Hardiyanti Rukmana

“…The method used in this system is Benefit Cost Ratio (BCR). …”
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Effectiveness of The Umbrella Collaboration Versus Traditional Umbrella Reviews for Evidence Synthesis in Health Care: Protocol for a Validation Study by Beltran Carrillo, Marta Rubinos-Cuadrado, Jazmin Parellada-Martin, Alejandra Palacios-López, Beltran Carrillo-Rubinos, Fernando Canillas-Del Rey, Juan Jose Baztán-Cortes, Javier Gómez-Pavon

“…ObjectiveThis study aimed to evaluate whether TU, an artificial intelligence—assisted, software-driven system for tertiary evidence synthesis, can achieve comparable effectiveness to TURs, while offering a more timely, efficient, and comprehensive approach. In addition, as a secondary objective, the study aims to assess the accessibility and comprehensibility of TU’s outputs to ensure its usability and practical applicability for health care professionals. …”
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Recognition and localization of ratoon rice rolled stubble rows based on monocular vision and model fusion by Yuanrui Li, Yuanrui Li, Liping Xiao, Liping Xiao, Zhaopeng Liu, Zhaopeng Liu, Muhua Liu, Muhua Liu, Peng Fang, Peng Fang, Xiongfei Chen, Xiongfei Chen, Jiajia Yu, Jiajia Yu, Jinlong Lin, Jinlong Lin, Jinping Cai, Jinping Cai

“…To address the problem of degradation of model's performance when migrated to other monocular cameras, based on the law of the input image’s influence on model's output results, two optimization methods of adjusting inputs and outputs were used that decreased the absolute relative error from 91.9% to 8.8%. …”
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TiO₂ Nanorod Array for Betavoltaic Cells: Performance Validation and Enhancement with Electron Beam and ⁶³Ni Irradiations by Sijie Li, Tongxin Jiang, Yu Cao, Wendi Zhao, Haisheng San, Xue Li, Lifeng Zhang, Xin Li

“…The NiO_x-incorporated device achieved an energy conversion efficiency of 4.84%, with a short-circuit current of 119.9 nA, an open-circuit voltage of 324.2 mV, and a maximum power output of 24.0 nW, representing a 3.76-fold enhancement over HTL-free devices. …”
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Predictive modeling for the adsorptive and photocatalytic removal of phenolic contaminants from water using artificial neural networks by Shahzar Hafeez, Ayesha Ishaq, Azeem Intisar, Tariq Mahmood, Muhammad Imran Din, Ejaz Ahmed, Muhammad Rizwan Tariq, Muhammad Amin Abid

“…To overcome these limitations, the modeling and optimization of water treatment methods is required. Artificial Intelligence (AI) is employed for the interpretation of treatment-based processes due to powerful learning, simplicity, high estimation accuracy, effectiveness, and improvement of process efficiency where artificial neural networks (ANNs) are most frequently employed for predicting and analyzing the efficiency of processes applied for the mitigation of these phenolic contaminants from water. …”
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Investigating broadband filtering power amplifier using multi-mode resonator-based bandpass filter by Mohamed Boumalkha, Ahmed Gamal Abdellatif, Ahmed S.I. Amar, Mohammed Lahsaini, Amir Almslmany, Shuja Ansari, Mohammed Alammar, Mahmoud A. Shawky

“…The proposed FPA, operating within the 2.0–4.0 GHz frequency range, demonstrates a peak drain efficiency between 49.4% and 72%, with a corresponding peak output power of 38–41.9 dBm at saturation. …”
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Influence of Physicochemical Properties of Oil Sludge on Syngas Production for Energy Applications by Hiago Oliveira, Isabela Pinheiro, Ana Ramos, Osvaldo Venturini, Adriano Mariano, York Santiago

“…Subsequently, this syngas was used in gas turbine models with GasTurb software 14.0, achieving electrical output and thermal efficiency of 66.9 kW and 22.4%, respectively. …”
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Opportunities and challenges with artificial intelligence in allergy and immunology: a bibliometric study by Ningkun Xiao, Ningkun Xiao, Xinlin Huang, Yujun Wu, Baoheng Li, Wanli Zang, Khyber Shinwari, Khyber Shinwari, Irina A. Tuzankina, Valery A. Chereshnev, Valery A. Chereshnev, Guojun Liu

“…However, a systematic overview identifying current statuses, emerging trends, and future research hotspots is lacking.MethodsThis study applied bibliometric analysis methods to systematically evaluate the global research landscape of AI applications in allergy and immunology. …”
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New Structure for High-Sensitivity Coaxial Thermal Power Sensor in the Frequency Range from DC–50 GHz by Ba Doudou, Lerat Jean-Marie

“…The purpose of this new design is to propose a high-sensitivity thermoelectric power sensor suitable for microcalorimeter application that is a primary method of microwave power calibration. The core structure of the power sensor comprises a Grounded Coplanar Waveguide (GCPW) transmission line, two load resistors, a thermopile, and output pads for DC measurements. …”
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Research and Design of Freight Locomotives Automatic Train Operation System by XIAO Jiabo, SHANG Jing

“…By planning the train target curves and using the intelligent model prediction method to calibrate the output power of the locomotive, the intelligent train speed following control is realized. …”
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Optimizing Risk-based Stock Return Prediction in Tehran Stock Exchange industries: A Data Envelopment Analysis by Hamidreza Akhbari, Heydar Mohammadzadeh Salteh, Rasoul Baradaran Hassanzadeh, Mehdi Zeynali

“…Given the oil industry's higher efficiency and optimization within the country, it is feasible to integrate oil into the production cycle using effective methods and introduce technological advancements to enhance oil supply within the country. …”
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Adapting Classification Neural Network Architectures for Medical Image Segmentation Using Explainable AI by Arturs Nikulins, Edgars Edelmers, Kaspars Sudars, Inese Polaka

“…A ResNet classification neural network was trained, and XAI tools were applied to generate segmentation-like outputs. Our findings reveal that GuidedBackprop is among the most efficient and effective methods, producing heatmaps that closely resemble segmentation masks by accurately highlighting the entirety of the target object.…”
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