Integrating Artificial Intelligence in urban redesign: A collaborative approach to post-war design phases by I. Alshafei, R. Almashhour

“…It compares conventional methods of urban revival with innovative Artificial Intelligence-supported methods to determine the advantages of utilizing Artificial Intelligence in post-war urban re-design. …”
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The Potential of Utilizing Cattle (Cow) Manure for Biomethane Production—An Experiment for Photofermentation by Anita Konieczna, Kinga Borek, Jakub T. Hołaj-Krzak, Barbara Dybek, Dorota Anders, Jan Szymenderski, Kamila Klimek, Magdalena Kapłan, Zbigniew Jarosz, Serhiy Syrotyuk, Taras Stanytskyy, Serhii Korobka, Grzegorz Wałowski

“…Cow manure was tested for its elemental composition in order to determine the suitability of this raw material for biogas production. …”
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Optimizing soybean variety selection for the Pan-African Trial network using factor analytic models and envirotyping by Maurício S. Araújo, João P. S. Pavan, André A. Stella, Bruno F. Fregonezi, Natally F. Lima, Erica P. Leles, Michelle F. Santos, Peter Goldsmith, Godfree Chigeza, Brian W. Diers, José B. Pinheiro

“…Additionally, we sought to determine the environmental factors influencing yield through envirotyping tools. …”
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Comparative assessment of on-farm greenhouse gases emission from male-headed and female-headed rice farms in Babol county (Mazandaran province, Iran) by Hadi Veisi, Anahita Valiollahi, Abdol Majid Mahdavi Damghani, Surror Khoramdel

“…To this end, GHG emissions from male- and female-head rice farms were compared using the carbon input (kg.C.equivalent.ha−1) and output (kg.C.equivalent.ha−1), sustainability indices, and carbon efficiency. Material and methods: The data was gathered from 120 rice farmers (60 males and 60 females) through questionnaires and face-to-face interviews. …”
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Replication differences of SARS-CoV-2 lineages may arise from unique RNA replication characteristics and nucleocapsid protein expression by Isadora Alonso Corrêa, Marcos Romário Matos de Souza, Gustavo Peixoto Duarte da Silva, Anna Beatriz Sampaio Vianna Macedo Pimentel, Pedro Telles Calil, Marcela Sabino Cunha, Diana Mariani, Rodrigo de Moraes Brindeiro, Sara Mesquita Costa, Maria Clara da Costa Simas, Victor Akira Ota, Elisa Cavalcante Pereira, Marilda Mendonça Siqueira, Paola Cristina Resende, Rafael Mello Galliez, Rafael Mello Galliez, Debora Souza Faffe, Debora Souza Faffe, Rosane Silva, Terezinha Marta Pereira Pinto Castiñeiras, Terezinha Marta Pereira Pinto Castiñeiras, Amilcar Tanuri, Amilcar Tanuri, Luciana Jesus da Costa, Luciana Jesus da Costa

“…However, the relationship between these differences and the replicative capacity of these variants remains to be determined. Our research aimed to compare the biological traits of the SARS-CoV-2 lineages B.1.1.33, and variants Zeta (P.2), Gamma (P.1/P.1.*), Delta (B.1.617.2/AY.*), and Omicron (BA.1).MethodsWe employed three different cellular models susceptible to viral infection to demonstrated the differences in virus binding, entry and total RNA production through RT-qPCR assay and viral infectious progeny by plaque assay. …”
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Confirmation of enrofloxacin, ofloxacin, sarafloxacin and danofloxacin residues in poultry meat and pork via LLE-SPE-GC–MS/MS coupled with derivatization treatment by Junjie Xu, Yiwei Hong, Yun Liu, Shuyu Liu, Pengfei Gao, Yawen Guo, Yang Cao, Hao Ding, Maoda Pang, Tao Zhang, Genxi Zhang, Xiaodong Guo, Xing Xie, Kaizhou Xie

“…All matrices had weak matrix effects. This method conforms to the requirements of Food and Agriculture Organization of United Nations & World Health Organization (2014) for veterinary drug residue testing, expanding the monitoring range and improving the detection efficiency. …”
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Impact of lightweight clay aggregate with slag and biomedical waste ash on self-compacting concrete using machine learning approach by Kennedy C. Onyelowe, Viroon Kamchoom, Shadi Hanandeh, Ahmed M. Ebid, Janneth Alejandra Viñan Villagran, Raúl Gregorio Martínez Pérez, Fausto Ulpiano Caicedo Benavides, Paul Awoyera, Siva Avudaiappan

“…A combination of error metrics, efficiency metrics and determination/correlation metrics were used to test the models performance and accuracy. …”
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Weaning performance prediction in lactating sows using machine learning, for precision nutrition and intelligent feeding by Jiayi Su, Xiangfeng Kong, Wenliang Wang, Qian Xie, Chengming Wang, Bie Tan, Jing Wang

“…Eleven statistical and machine learning (ML) regression algorithms were employed, incorporating stratified sampling and the recursive feature elimination method for feature selection. The findings demonstrated that the ensemble learning models, specifically random forest and gradient boosting decision tree regression, delivered the best overall performance, with a coefficient of determination (R2) ranging from 0.40 to 0.80 and a mean absolute error (MAE) between 0.11 and 4.36. …”
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Utilizing rice-husk waste as an effective weed control mulch for Holy Basil (Ocimum sanctum ) production in a tropical environment by Vivian Ogechi Osadebe, Uchenna Noble Ukwu, Nathaniel Dauda, Ifesinachi M Nwamba, Amos Ejike Ede, Anthony I Onah

“…Method: In a randomized complete block design with three replications, nine weed management (WM) methods were assessed. …”
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Bio-inhibitive corrosion effect of carica papaya leaf extract on cold-rolled mild steel in 0.1 M HCl solution by Nnamdi Chibuike Iheaturu, Stanley Udochukwu Ofoegbu, Bibiana Chimezie Aharanwa, Magdalene Nkeiru Akanbi, Daniel Iheanacho Udunwa, Kayode Olugbenga Ayo, Augusta Ndidi Eke, Blessing Opeoluwa Ogunsemore, Precious Oluebube Ndukwu, Chikaodinaka Ngozi Umeh

“…Cold-rolled mild steel coupons were immersed in 100 ml of 0.1 M hydrochloric (HCl) acid solution containing 1 g, 2 g, 3 g, 4 g, and 5 g of carica papaya leaf extract (CPLE) for 48 days at 28℃. The gravimetric method was used to determine the coupons' corrosion rate (CR), surface coverage, and inhibition efficiency (IE%) of the CPLE. …”
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The predictive value of conventional MRI combined with radiomics in the immediate ablation rate of HIFU treatment for uterine fibroids by Chao Wei, Naiyu Li, Bin Shi, Chuanbin Wang, Yaoyuan Wu, Tingting Lin, Yulan Chen, Yaqiong Ge, Yongqiang Yu, Jiangning Dong

“…Objective This study aimed to assess the predictive value of conventional magnetic resonance imaging (MRI) combined with radiomics in determining the nonperfused volume ratio (NPVR) following high-intensity focused ultrasound (HIFU) ablation for uterine fibroids.Methods and materials A total of 216 symptomatic uterine fibroids in 216 women were subjected to HIFU ablation from October 2015 to March 2020. …”
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UV radiation at 222, 254, and 282 nm inhibits sporulation and suppresses infectivity of Eimeria acervulina oocysts by Aaron A. Baumann, Addison K. Myers, Niloofar Khajeh-Kazerooni, Ashley Wise-Mitchell, Benjamin M. Rosenthal, Mark C. Jenkins, Celia O'Brien, Lorraine Fuller, Samuel Tremaine, Mark Morgan, Scott C. Lenaghan

“…In this study, the effect of UV radiation (UVR) on E. acervulina sporulation efficiency was evaluated. Nonstandard wavelengths including 222 and 282 nm have been established as alternatives to standard 254 nm UVR for sterilization. …”
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A novel machine learning models for meteorological drought forecasting in the semi-arid climate  region by Chaitanya Baliram Pande, Dinesh Kumar Vishwakarma, Aman Srivastava, Kanak N. Moharir, Fahad Alshehri, Norashidah Md Din, Lariyah Mohd Sidek, Bojan Đurin, Abebe Debele Tolche

“…In testing, the SVM model bettered  in SPI-3 and SPI-6 forecasting (MSE = 0.5735, 0.8479; RMSE = 0.7573, 0.9208; MAE = 0.5882, 0.5300; MARE = − 0.5638, − 0.3621; NSE = 0.8676, 0.8601; R = 0.9317, 0.9275; R2 = 0.8680, 0.8603). The ensemble method played a novel and crucial role in significantly improving the accuracy of drought forecasting by developing ML models based on various algorithms that operate more efficiently, require fewer inputs, and exhibit less complexity than precise models, proving highly effective for drought warning systems. …”
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Generating Mechanism of Online Public Opinion Heat in Public Emergencies from the Perspective of Information Ecology: Fuzzy Set Qualitative Comparative Analysis Based on 50 Cases by YOU Ge, LI Jielin, ZHANG Fangshun

“…[Method/Process] From an information ecology perspective, this study employs fuzzy-set qualitative comparative analysis to examine the online public opinion heat of 50 public emergencies between 2020 and 2022. …”
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Clinical efficacy of gliclazide with modified release after myocardial infarction in patients with concomitant type 2 diabetes by N. S. Mykhailovska

“…The main group consisted of 28 patients who in addition to basic therapy were prescribed gliclazide modified release in a dose of 30-60 mg;71 patients were in the comparison group, treated with glibenclamide. Immunoenzyme method was carried out to determine the level of IL-1α, IL-6, TNF-α (Diaclone, France), endothelin-1 (Biomedica, Austria), insulin-like growth factor, insulin, C-peptide, leptin, C-reactive protein (DAI, USA), tissue plasminogen activator inhibitor-1 (Biopool, USA).The concentration of glucose, glycosylated hemoglobin investigated using a set of reagents BIOLATEST company PLIVA-Lachema. …”
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Identification of prognostic factors to predict cognitive decline of patients with early Alzheimer's disease in the Japanese Alzheimer's Disease Neuroimaging Initiative study by Takuya Yagi, Michio Kanekiyo, Junichi Ito, Ryoko Ihara, Kazushi Suzuki, Atsushi Iwata, Takeshi Iwatsubo, Ken Aoshima, Alzheimer's Disease Neuroimaging Initiative, Japanese Alzheimer's Disease Neuroimaging Initiative

“…Thus, implementing these prognostic factors into clinical trials may be potentially a good method to enrich participants with early AD who are suitable for evaluating treatment effects.…”
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Self-organizing expert communities in educational projects by Gennadiy P. Vinogradov, Vladimir N. Kuznetsov

“…The paper proposes a system that provides a direction for finding solutions and ideas, as well as filtering, summarizing information, determining its value and prospects. It is shown that the method of improving the quality of solutions on an educational project is the synthesis of crowdsourcing technologies, network expertise and the methodology of the active systems theory.Conclusions. …”
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SENTINEL LYMPH NODE BIOPSY IN PREVENTING REGIONAL RELAPSES IN PATIENTS WITH LOCALLY ADVANCED CUTANEOUS MELANOMA by D. V. Kudryavtsev, G. T. Kudryavtseva, Yu. V. Gumenetskaya, G. A. Davydov, N. A. Oleynik, N. Yu. Dvinskikh, А. L. Starodubtsev

“…Objective. To determine  an optimal  method  for preventing regional relapses in patients with locally advanced cutaneous melanoma (CM).Material and methods. …”
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Research on Data Repair of Pile-Type Adjustable Wind Turbine Foundation Monitoring Based on FST-ATTNet by WEI Huanwei, ZHAO Jizhang, ZHENG Xiao, TAN Fang, LIU Cong

“…This model is designed to enhance the modeling capabilities for complex time-series data, improve the accuracy of missing data reconstruction, and ensure the reliability of health monitoring, ultimately guaranteeing wind turbines' safe and efficient operation. Moreover, it presents potential solutions for similar data reconstruction challenges across various engineering disciplines.MethodsThe FST-ATTNet model introduces an innovative data repair framework by integrating features from the frequency, time, and spatial domains. …”
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Combination of suspect and nontarget screening with exposure assessment for per- and polyfluoroalkyl substance prioritization in Chinese municipal wastewater by Hongxin Mu, Ling Chen, Rong Zhou, Luyao Gu, Yue Yu, Jin Tang, Houhu Zhang, Hongqiang Ren, Bing Wu, Yuanqing Bu

“…Wastewater samples were collected from 148 municipal WWTPs in China to determine the occurrence and risk prioritization of PFASs. …”
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