Pre-screening of endomysial microvessel density by fast random forest image processing machine learning algorithm accelerates recognition of a modified vascular network in idiopath... by Alessandro Massaro, Gerardo Cazzato, Giuseppe Ingravallo, Nadia Casatta, Carmelo Lupo, Angelo Vacca, Florenzo Iannone, Francesco Girolamo

“…Finally, the paper proposes a procedure to integrate AI in the pre-screening process.…”
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Antimicrobial activity of indigenous Oscillatoria spp. against prevalent bacterial diseases in fish and shellfish by Jannatul Nayeem, Sumit Kanti Dey, Proma Dey, Mohammed Abdullah Ayoun, Dipa Debi, Mohammed Nurul Absar Khan, Helena Khatoon

“…A highest activity index (AI) value of 2.10 ± 0.03 was observed for filamentous Oscillatoria sp. against Staphylococcus sp., whereas a significantly lower AI value of 1.00 ± 0.01 was obtained for planktonic Oscillatoria sp. against Pseudomonas sp. …”
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High-throughput phenotyping techniques for forage: Status, bottleneck, and challenges by Tao Cheng, Dongyan Zhang, Gan Zhang, Tianyi Wang, Weibo Ren, Feng Yuan, Yaling Liu, Zhaoming Wang, Chunjiang Zhao

“…This paper reviews the unique aspects and research priorities in forage phenotypic monitoring, highlights key remote sensing platforms, examines the applications of advanced sensing technology for quantifying phenotypic traits, explores artificial intelligence (AI) algorithms in phenotypic data integration and analysis, and assesses recent progress in phenotypic genomics. …”
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Expression Profile of Long Noncoding RNAs and Circular RNAs in Mouse C3H10T1/2 Mesenchymal Stem Cells Undergoing Myogenic and Cardiomyogenic Differentiation by Mingshan Li, Zijie Pei, Hongtao Zhang, Jing Qu

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Microfragmented Adipose Tissue Injection (MFAT) May Be a Solution to the Rationing of Total Knee Replacement: A Prospective, Gender-Bias Mitigated, Reproducible Analysis at Two Yea... by Nima Heidari, Tiffanie-Marie Borg, Stefano Olgiati, Mark Slevin, Alessandro Danovi, Brady Fish, Adrian Wilson, Ali Noorani

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Precision Imaging for Early Detection of Esophageal Cancer by Po-Chun Yang, Chien-Wei Huang, Riya Karmakar, Arvind Mukundan, Tsung-Hsien Chen, Chu-Kuang Chou, Kai-Yao Yang, Hsiang-Chen Wang

“…Hyperspectral imaging (HSI) and artificial intelligence (AI) technologies offer promising avenues for enhancing diagnostic accuracy in this context. …”
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Ser pessoa idosa com síndrome pós-covid-19: estudo qualitativo by Polyanna Freitas Albuquerque Castro, Rosilda Silva Dias, Líscia Divana Carvalho Silva, Andrea Cristina Oliveira Silva, Santana de Maria Alves de Sousa, Anna Karla de Oliveira Tito Borba

“…Resultados As repercussões na saúde física, mental e na funcionalidade colocaram a pessoa idosa diante de uma nova condição, um novo Ser-aí consigo mesmo, com o mundo e com o outro. Resignado à facticidade do existir, o ser-aí lançado em um mundo sem escolhas, conduziu a pessoa idosa a vivência do adoecimento do corpo pela covid-19, deparando-se com a angústia existencial gerada pela dor e sofrimento da sua condição clínica, insegurança e medo em relação ao futuro e da vida daqueles que ama. …”
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Semen extender triggers a mild physiological inflammatory response in the uterus without disrupting sperm-uterine immune crosstalk in vitro in cattle by Malinda HULUGALLA, Alireza MANSOURI, Elham WAEHAMA, Ihshan AKTHAR, Akio MIYAMOTO

“…Artificial insemination (AI) in cattle involves introducing frozen-thawed sperm, a minimal amount of seminal plasma, and a significant volume of semen extender (SE) into the uterus. …”
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Beneficial arthropods threatened by synthetic agricultural pesticides around the southeast slopes of Mount Cameroon by Daniel Brice Nkontcheu Kenko, Agathe Lambou Fotio, Kenfack Donhachi Aimerance, Derick Atemlefac Acha, Miranda Egbe Awo, Eric Bertrand Fokam

“…Abamectin had the highest ETR in the group (NECbee = 0.05 g a.i./ha; ETRbee = 20000). Fifteen (15) active ingredients were predicted by the model to pose a certain in-field risk to NTAs with lambda-cyhalothrin at the top position (AECNTA = 0.0034 g a.i.…”
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Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings by Keivan Rahmani, Yang Yang, Ethan Paul Foster, Ching-Ting Tsai, Dhivya Pushpa Meganathan, Diego D. Alvarez, Aayush Gupta, Bianxiao Cui, Francesca Santoro, Brenda L. Bloodgood, Rose Yu, Csaba Forro, Zeinab Jahed

“…This study presents an AI-supported technique that leverages thousands of synchronous eAP and iAP pairs from stem-cell-derived cardiomyocytes on NEAs. …”
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Modern advancements of energy storage systems integrated with hybrid renewable energy sources for water pumping application by Marwa M. Ahmed, Haneen M. Bawayan, Mohamed A. Enany, Mahmoud M. Elymany, Ahmed A. Shaier

“…The manuscript also highlights the integration of artificial intelligence (AI) to optimize energy management, predict irrigation demands, and improve operational efficiency. …”
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Prediction of angiogenesis suppression by myricetin from Aeginetia indica via inhibiting VEGFR2 signaling pathway using computer-aided analysis by Marjanur Rahman Bhuiyan, Khondoker Shahin Ahmed, Md Sharif Reza, Hemayet Hossain, Syed Mumtahin Mannan Siam, Shahriar Nayan, Sarah Jafrin, Sadikur Rahman Shuvo, A.F.M.Shahid Ud Daula

“…Hence, the current investigation was undertaken with the aim of identifying safe and potent phytochemicals from Aeginetia indica whole plant extract (AiWE) that can efficiently suppress the overexpression of VEGFR2. …”
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Retinal Thickness Asymmetry in Highly Myopic Eyes with Early Stage of Normal-Tension Glaucoma by Pei-Wen Lin, Hsueh-Wen Chang, Yi-Chieh Poon

“…Thickness differences and asymmetry indices (AIs) of cpRNFL between superior and inferior corresponding parts and thickness differences and AIs of the total macular layer (TML) and inner macular layers between superior and inferior hemispheres were calculated. …”
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Assessment of fluoride bio-accessibility in early childhood diets by Jelena Kronic, Ralph M. Duckworth, Claudio Angione, Steven M. Levy, Fatemeh Vida Zohoori

“…To prevent the development of dental fluorosis, AI and UL values must include fluoride bioavailability. …”
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The Recent Technologies to Curb the Second-Wave of COVID-19 Pandemic by M. Poongodi, Mohit Malviya, Mounir Hamdi, Hafiz Tayyab Rauf, Seifedine Kadry, Orawit Thinnukool

“…At last, elaboration associated with future state-of-the-art technologies and the attainable sectors of AI methodologies has been mentioned concerning the post-COVID-19 world to enable the different ideas for dealing with the pandemic-based difficulties.…”
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SCM-YOLO for Lightweight Small Object Detection in Remote Sensing Images by Hao Qiang, Wei Hao, Meilin Xie, Qiang Tang, Heng Shi, Yixin Zhao, Xiaoteng Han

“…The effectiveness and lightweight characteristics of SCM-YOLO are verified through comparison experiments with AI-TOD and SIMD public remote sensing small object detection datasets. …”
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Correlation of Body Condition Score and Parity in Dairy Cows that Experienced Repeated Breeding in Sendang, Tulungagung by Pristian Devon Martyas Wahyuningrum, Pudji Srianto, Budiarto, Tita Damayanti Lestari, Herry Agoes Hermadi, Erma Safitri

“…Sampling was done by purposive sampling with the following condition the date AI and the date of parturition. This research was conducted in a survei with primary and secondary data collection. …”
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Smart Healthy Schools: An IoT-enabled concept for multi-room dynamic air quality control by Alessandro Zivelonghi, Alessandro Giuseppi

“…Smart Healthy Schools (SHS) are a new paradigm in building engineering and infection risk control in school buildings where the disciplines of Indoor Air Quality (IAQ), IoT (Internet of Things) and Artificial Intelligence (AI) merge together. In the post-pandemic era, equipping schools with a network of smart IoT sensors has become critical to aspire for the optimal control of the IAQ and lowering the airborne infection risk of several pathogens, indirectly related to cumulated human emitted CO2 levels over time. …”
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Psychosocial Predictors of Weight Loss among American Indian and Alaska Native Participants in a Diabetes Prevention Translational Project by Edward J. Dill, Spero M. Manson, Luohua Jiang, Katherine A. Pratte, Margaret J. Gutilla, Stephanie L. Knepper, Janette Beals, Yvette Roubideaux, Special Diabetes Program for Indians Diabetes Prevention Demonstration Project

“…The association of psychosocial factors (psychological distress, coping skills, family support, trauma exposure, and spirituality) with initial weight and weight loss among American Indians and Alaska Natives (AI/ANs) in a diabetes prevention translational project was investigated. …”
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Design of an Improved Method for Visual Rendering in the Metaverse Using CIEM and MSRANet by Janapati Venkata Krishna, Priyanka Singh, Regonda Nagaraju, Setti Vidya Sagar Appaji, Attuluri Uday Kiran, K. Spandana

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