The problem of norovirus infection in animals (literature review) by V. А. Mischenko, A. V. Mischenko, T. B. Nikeshina, O. N. Petrova, Yu. V. Brovko, A. I. Kushlubaeva

“…Livestock industry efficiency strongly depends on the livability of young animals, mainly during the early postnatal period. …”
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Las rivalidades futbolísticas y la construcción de la nación. Una comparación entre México y Ecuador by Roger Magazine, Jacques Ramírez, Samuel Martínez

“…In the Mexican case, the pattern of rivalries is inseparable from the strong centralism of political and economic power, whereas in the Ecuadorian case, the pattern has to be do, primarily, with an old struggle for economic and political predominance between the cities of Quito and Guayaquil. …”
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Mofette Vegetation as an Indicator for Geogenic CO2 Emission: A Case Study on the Banks of the Laacher See Volcano, Vulkaneifel, Germany by Hardy Pfanz, Frank Saßmannshausen, Christiane Wittmann, Benny Pfanz, Annika Thomalla

“…The number of plant species (from a total of 69 species) as well as plant coverage strongly followed geogenic CO2 degassing. The total number of growing species was highest in low CO2 soils (max. 17 species per m2) and lowest at high CO2-emitting sites (one species per m2). …”
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Remote sensing estimation of chlorophyll content in rape leaves in Weibei dryland region of China by Xia Liheng, Zhang Panpan, Shi Lei, Wang Kun, Zhang Tingyu

“…Findings revealed several significant observations: (1) Consistency in the spectral curves of rape leaves, with spectral reflectance diminishing as chlorophyll content increased; (2) Strong correlations among seven spectral parameters utilized in the modeling, all exceeding 0.770 and achieving significant correlations at the 0.01 level; (3) Across various growth periods, the BPNN model optimized through GAs based on multiple linear stepwise regression emerged as the optimal model. …”
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Effect of triple-frequency sono-germination and soaking treatments on techno-functional characteristics of barley by Tabussam Tufail, Huma Bader Ul Ain, Jawad Ashraf, Muhammad Safiullah Virk, Zahoor Ahmed, Mokhtar Dabbour, Tawfiq Alsulami, Suleiman Althawab, Bin Xu

“…Further, gene expression analysis revealed differential regulation of phenylpropanoid pathway genes, contributing to the bioactive compound enhancement. Strong intermolecular interactions were observed in both ZQ2000 and XMLY22 samples subjected to TFUT, GE, TFUT + GE, and TS, as validated by FTIR and molecular docking analyses. …”
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Mapping global annual urban land cover fractions (2001–2020) derived with multi-objective deep learning by Haoyu Wang, Qian Wang, Xiuyuan Zhang, Shihong Du, Lubin Bai, Shuping Xiong

“…Accordingly, this study proposes a novel deep learning unmixing algorithm, Normalized Non-negative Multi-objective Residual T-ConvLSTM (NNMRT) model, with strong encoding and recognition capacities for extracting GAULCF. …”
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Tannin with sodium carbonate: A single additive for poured earth concrete with tropical soils by Lily Walter, Gildas Medjigbodo, Yannick Estevez, Laurent Linguet, Ouahcène Nait-Rabah

“…However, these additives strongly increase environmental costs. Recent studies have highlighted the potential of tannins, which are organic extracts from wood, as an eco-friendly alternative. …”
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A techno-economic perspective on efficient hybrid renewable energy solutions in Douala, Cameroon’s grid-connected systems by Reagan Jean Jacques Molu, Serge Raoul Dzonde Naoussi, Mohit Bajaj, Patrice Wira, Wulfran Fendzi Mbasso, Barun K. Das, Milkias Berhanu Tuka, Arvind R. Singh

“…As the world progresses towards renewable energy adoption and hybrid systems, this investigation lays a strong foundation for future advancements in renewable energy integration and energy management strategies. …”
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Overexpression of Tear Inflammatory Cytokines as Additional Finding in Keratoconus Patients and Their First Degree Family Members by Ioana Catalina Ionescu, Catalina Gabriela Corbu, Cristiana Tanase, Gabriela Ionita, Cristina Nicula, Valeria Coviltir, Vasile Potop, Mihaela Constantin, Elena Codrici, Simona Mihai, Ionela Daniela Popescu, Ana-Maria Enciu, Dana Dascalescu, Miruna Burcel, Radu Ciuluvica, Liliana-Mary Voinea

“…In the keratoconus group, using the CORR procedure, we found statistically strong correlations of IL-6 lacrimal concentrations with the disease stage (r=0.56, p<0.01), keratometry (r=0.55, p<0.02), pachymetry (r=−0.64, p<0.048), and corneal hysteresis (r=−0.53, p<0.02). …”
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Reliability of Chest Wall Mobility and Its Correlation with Lung Functions in Healthy Nonsmokers, Healthy Smokers, and Patients with COPD by Ravi S. Reddy, Khalid A. Alahmari, Paul S. Silvian, Irshad A. Ahmad, Venkata Nagaraj Kakarparthi, Kanagaraj Rengaramanujam

“…Upper and lower CE showed a significant and positive correlation with all lung function parameters, with strong correlation with FEV1/FVC (r = 0.68). Upper and lower CE measurements with inch tape showed good intra- and interrater reliability and reproducibility in healthy nonsmokers, healthy smokers, and COPD subjects. …”
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Multiomic machine learning on lactylation for molecular typing and prognosis of lung adenocarcinoma by Mengmeng Hua, Tao Li

“…The tumor microenvironment analysis illustrated that immune activity was notably elevated in low-risk patients, indicating they might more strongly respond to immunotherapy than high-risk patients. …”
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Machine learning identification of a novel vasculogenic mimicry-related signature and FOXM1’s role in promoting vasculogenic mimicry in clear cell renal cell carcinoma by Chao Xu, Sujing Zhang, Jingwei Lv, Yilong Cao, Yao Chen, Hao Sun, Shengtao Dai, Bowei Zhang, Meng Zhu, Yuepeng Liu, Junfei Gu

“…A consensus VRG_score was formulated using a machine learning computational framework and Cox regression, displaying strong predictive power for prognosis and clinical translation. …”
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New Resinogalea species from Araucaria araucana resin in Chile and reclassification of the genus in the Cryptocaliciomycetidae by Felipe Balocchi, Irene Barnes, Michael J. Wingfield, Rodrigo Ahumada, Cobus M. Visagie

“…These trees host a large number of organisms, mainly insects, strongly or even exclusively associated with them. …”
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THE USE OF ARTIFICIAL INTELLIGENCE ON COLPOSCOPY IMAGES AND SEGMENTAL VOLUMES, CONSTRUCTED FROM MRI AND CT IMAGES, IN THE DIAGNOSIS AND STAGING OF PRECANCERS, CERVICAL CANCERS AND... by Hlescu Cristian Stefan, Tudor Florin Ursuleanu, Roxana Grigorovici, Andreea Roxana Luca, Ramona Elena Teiu, Maria Paula Comanescu, Alina Ionela Calin, Alexandru Grigorovici

“…We will use topologies that have demonstrated strong performance in similar image recognition projects, such as VGG16, Inception, MobilNet, ROI, U-Net, and KiU-Net. …”
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Artificial Intelligence (AI) Competency and Educational Needs: Results of an AI Survey of Members of the European Society of Pediatric Endoscopic Surgeons (ESPES) by Holger Till, Hesham Elsayed, Maria Escolino, Ciro Esposito, Sameh Shehata, Georg Singer

“…Half of respondents (51%) expect AI/ML to play a significant role in advancing robotic surgery, oncology, and minimally invasive techniques. A strong majority (84%) felt that the ESPES should lead AI education in pediatric surgery. …”
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Predicting bullying victimization among adolescents using the risk and protective factor framework: a large-scale machine learning approach by Ethan Low, Joshua Monsen, Lindsay Schow, Rachel Roberts, Lucy Collins, Hayden Johnson, Carl L. Hanson, Quinn Snell, E. Shannon Tass

“…Results Younger grade levels, feeling left out, and family issues (severity and frequent arguments, family member insulting each other, and family drug use) are strongly associated with increased bullying victimization - whether in person or online. …”
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Evaluating researches on urban housing indicators in current decade based on PRISMA method by Mohammadreza Zamiri, Mahin Nastaran, Mahmud Galenoyi

“…The results have shown that applying quantitative methods on urban indicators led to analogous assessments in various contexts and using novel methods and models, especially applying qualitative and mixed methods would resulted in novel and efficient perspectives to future urban housing programming and applying the PRISMA method would increase quality of survey reviews and strongly recommend to achieve comprehensive and qualified study of similar researches.…”
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Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound by D.M. Anisuzzaman, PhD, Jeffrey G. Malins, PhD, John I. Jackson, PhD, Eunjung Lee, PhD, Jwan A. Naser, MBBS, Behrouz Rostami, PhD, Grace Greason, BA, Jared G. Bird, MD, Paul A. Friedman, MD, Jae K. Oh, MD, Patricia A. Pellikka, MD, Jeremy J. Thaden, MD, Francisco Lopez-Jimenez, MD, MSc, MBA, Zachi I. Attia, PhD, Sorin V. Pislaru, MD, PhD, Garvan C. Kane, MD, PhD

“…Results: Models showed strong performance on the retrospective TTE datasets (LVEF regression: root mean squared error (RMSE)=6.83%, 6.53%, and 6.95% for Rochester, Arizona, and Florida cohorts, respectively; classification of LVEF ≤40% versus LVEF > 40%: area under curve (AUC)=0.962, 0.967, and 0.980 for Rochester, Arizona, and Florida, respectively; age: RMSE=9.44% for Rochester; sex: AUC=0.882 for Rochester), and performed comparably for prospective HCU versus TTE data (LVEF regression: RMSE=6.37% for HCU vs 5.57% for TTE; LVEF classification: AUC=0.974 vs 0.981; age: RMSE=10.35% vs 9.32%; sex: AUC=0.896 vs 0.933). …”
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Gendered Social Norms, Exceptions, and Sanctions: Implications for Maternal, Infant, and Young Child Nutrition in Nigeria by Elizabeth Costenbader, Christina Memmott, Kate Litvin, Mackenzie Green, Nnenna Mba-Oduwusi, Izuchukwu Offiaeli, Nemat Hajeebhoy

“…Participants also described strong traditional gender ideologies and sanctions that uphold these restrictive norms. …”
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Biofilm Formation and blaOXA Genes Detection Among Acinetobacter baumannii from Clinical Isolates in a Tertiary Care Kirtipur Hospital, Nepal by Upasana Ghimire, Rupesh Kandel, Mary Neupane, Sanjit Shrestha, Sudeep K C, Santosh Khanal, Dev Raj Joshi

“…Among A. baumannii, 89.47% (17/19) isolates produced biofilm with 47.37% (9/19) strong biofilm producers. (4) Conclusions: In the majority of MDR A. baumannii, blaOXA-51 and blaOXA-23 were detected as the determinant factor for carbapenem resistance having a direct relation with biofilm formation. …”
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