Smart blockchain-powered natural resource asset management and ecological governance countermeasures by Wende Huang, Yuan Han, Qiang Gu, Xiaolong Han, Tiansheng Gao

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A Framework for Promoting Passive Breast Cancer Monitoring: Deep Learning as an Interpretation Tool for Breast Thermograms by Mohamad Firouzmand, Keivan Majidzadeh, Maryam Jafari, Shahpar Haghighat, Rezvan Esmaeili, Leila Moradi, Nima Misaghi, Mahsa Ensafi, Fatemeh Batmanghelich, Mohammadreza Keyvanpour, Seyed Vahab Shojaedini

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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

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Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study by Katerina Lawrie, Petr Waldauf, Peter Balaz, Radoslav Bortel, Ricardo Lacerda, Emma Aitken, Krzysztof Letachowicz, Mario D’Oria, Vittorio Di Maso, Pavel Stasko, Antonio Gomes, Joana Fontainhas, Matej Pekar, Alena Srdelic, VAVASC Study Group, Stephen O’Neill

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Privacy-preserving approach for IoT networks using statistical learning with optimization algorithm on high-dimensional big data environment by Fatma S. Alrayes, Mohammed Maray, Asma Alshuhail, Khaled Mohamad Almustafa, Abdulbasit A. Darem, Ali M. Al-Sharafi, Shoayee Dlaim Alotaibi

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A Resource-Efficient Multi-Entropy Fusion Method and Its Application for EEG-Based Emotion Recognition by Jiawen Li, Guanyuan Feng, Chen Ling, Ximing Ren, Xin Liu, Shuang Zhang, Leijun Wang, Yanmei Chen, Xianxian Zeng, Rongjun Chen

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Unveiling the inhibitory effect of hydrogen-decorated voids and dislocation loops on the glide of edge dislocation in tungsten by Qing-Yuan Ren, Yu-Hao Li, Yu-Chen Du, Tian-Ren Yang, Dmitry Terentyev, Wei-Zhong Han, Hong-Bo Zhou, Guang-Hong Lu

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Situating the salience and parietal memory networks in the context of multiple parallel distributed networks using precision functional mapping by Young Hye Kwon, Joseph J. Salvo, Nathan L. Anderson, Donnisa Edmonds, Ania M. Holubecki, Maya Lakshman, Kwangsun Yoo, B.T. Thomas Yeo, Kendrick Kay, Caterina Gratton, Rodrigo M. Braga

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Monitoring Bone Healing: Integrating RF Sensing With AI by Ahmad Aldelemy, Ebenezer Adjei, Prince O. Siaw, Ali Al-Dulaimi, Viktor Doychinov, Nazar T. Ali, Rami Qahwaji, John G. Buckley, Pete Twigg, Raed A. Abd-Alhameed

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Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature by Mehdi Gheisari, Jana Shafi, Saeed Kosari, Samaneh Amanabadi, Saeid Mehdizadeh, Christian Fernandez Campusano, Hemn Barzan Abdalla

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Modulating Brain Connectivity by Simultaneous Dual-Mode Stimulation over Bilateral Primary Motor Cortices in Subacute Stroke Patients by Jungsoo Lee, Eunhee Park, Ahee Lee, Won Hyuk Chang, Dae-Shik Kim, Yong-Il Shin, Yun-Hee Kim

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Aortic stenosis post-COVID-19: a mathematical model on waiting lists and mortality by Chris P Gale, Jonathan Weir-McCall, James H F Rudd, Mamas Mamas, Ramesh Nadarajah, Ben Gibbison, Louise Sun, Christian Philip Stickels, Houyuan Jiang, Kieran J Sharkey, Nick Holliman, Sara Lombardo, Lars Schewe, Matteo Sommacal, Katherine Cheema, Feryal Erhun

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Marine ecological information prediction by using adjacent location spatiotemporal deep learning model with ensemble learning techniques by Yue-Shan Chang, Shu-Ting Huang, Basanta Haobijam, Satheesh Abimannan, Takayuki Kushida

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Evolutionary Algorithms and Quantum Computing: Recent Advances, Opportunities, and Challenges by Junaid Ur Rehman, Muhammad Shohibul Ulum, Abdurrahman Wachid Shaffar, Amirul Adlil Hakim, Mujirin, Zaid Abdullah, Hayder Al-Hraishawi, Symeon Chatzinotas, Hyundong Shin

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Sistem Pendeteksi Central Sleep Apnea Menggunakan Metode Neural Network dengan Fitur RR Interval dan Durasi QRS by Dittha Ratanasari, Edita Rosana Widasari, Rizal Maulana

“…With three electrodes attached to the chest to record and then extract the RR interval and QRS duration properties, the sensor is used to monitor the electrical activity of the heart. The Neural network technique classifies the two properties in the 18 test data sets, and the output in the form of Normal or Apnea classes is shown on a smartphone with Bluetooth connectivity. …”
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Study on the Synergistic Regulation Model for <i>Lycium barbarum</i> Berries Under Integrated Irrigation and Fertigation in Northwest Arid Regions by Yanlin Ma, Huile Lv, Yanbiao Wang, Yayu Wang, Minhua Yin, Yanxia Kang, Guangping Qi, Rong Zhang, Jinwen Wang, Junxian Chen

“…Soil temperature increased with nitrogen application (N1 > N2 > N0 > N3), with N1 raising soil temperature by 4.98–8.02% compared to N0, N2, and N3. Electrical conductivity was lowest under N0, showing a 7.53–18.74% reduction compared to N1, N2, and N3. …”
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Productive performance in Italian Mediterranean buffaloes after partially replacing dietary starch with simple sugars by Roberta Matera, Gabriele di Vuolo, Giuseppina Pedota, Luca de Luise, Mariateresa Marra, Luca Borzacchiello, Ludovica Capoluongo, Gianluca Neglia

“…Individual milk yield was recorded daily, and 15 days apart, an individual milk sample was collected for milk quality analysis (fat, protein, casein, lactose, urea, β- hydroxybutyrate [BHB] and fatty acids profile) through mid-infrared spectroscopy (Milkoscan FT6000®, Foss Electric). Data were analyzed through a mixed ANOVA. …”
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Development of an Alternative Protocol to Study Muscle Fatigue by Daniela A. Alambarrio, Benjamin K. Morris, R. Benjamin Davis, Emily B. Grabarczyk, Kari K. Turner, John M. Gonzalez

“…The treatments consisted of barrows being subjected to a hog electric stunner super-contraction cycle (<b>ES</b>) or not (<b>CON</b>) postmortem. …”
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The Impact of International Tourism on Environmental Quality (Case Study: D8 Countries) by Roohollah Babaki, Behnam Elyaspour, Narges Sanjari Konarsandal

“…Secondly, to improve environmental quality or reduce environmental degradation, instead of environmentally destructive diesel-powered transportation, tourist transportation with environmentally friendly vehicles such as electric vehicles and bicycle tourism should be selected and promoted in tourist destinations. …”
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Assessment of Some Physicochemical Parameters and Heavy Metals in Hand-Dug Well Water Samples of Kafta Humera Woreda, Tigray, Ethiopia by Kiros Gebremichail Gebresilasie, Goitom Gebreyohannes Berhe, Amanual Hadera Tesfay, Samuel Estifanos Gebre

“…The statistical Pearson’s correlation analysis on the water quality parameters revealed that all parameters are more or less correlated with each other. Electrical conductivity and total dissolved solids of the water samples were found to be significantly correlated with total hardness (r = 0.989), total alkalinity (r = 0.827), calcium (r = 0.988), magnesium (r = 0.881), sodium (r = 0.995), potassium(r = 0.996), chloride (r = 0.998), sulfate (r = 1), and nitrate ions (r = 0.972). …”
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