Investigation of Intestinal Microbes of Five Zokor Species Based on 16S rRNA Sequences by Yao Zou, Quan Zou, Hui Yang, Chongxuan Han

“…PICRUSt metagenome predictions revealed enriched microbial genes for carbohydrate and amino acid metabolism in <i>E. cansus</i> and <i>E. smithi</i>, and for cofactor and vitamin metabolism as well as glycan biosynthesis and metabolism in <i>E. rothschildi</i>, <i>M. aspalax</i>, and <i>M. psilurus</i>. …”
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Transformasi Kota Cerdas dalam Mitigasi Banjir: Pemodelan Curah Hujan DKI Jakarta dengan Pendekatan Spatial Vector Autoregressive (SpVAR) dan Pemetaan Bobot Queen Contiguity by Rinda Lolita Melanwati, Eni Sumarminingsih, Henny Pramoedyo

“…Rainfall, temperature, and humidity mutually influence predicted and other areas. This model is crucial for flood mitigation strategies and smart city policies to reduce flood risks in DKI Jakarta. …”
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Numerical Simulation of CAARC Standard High-Rise Building Model Based on MRT-LBM Large Eddy Simulation by Rui Zhao, Zehua Feng, Danhui Dan, Yuhang Wu, Xianduo Li

“…It is proved that the numerical solutions of the three models are in good agreement with the experimental solutions, and the real subgrid eddy viscosity near the wall can be obtained, which can accurately predict the development of turbulent flow.…”
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Modeling, evaluation and forecasting of suspended sediment load in Kal-e Shur River, Sabzevar Basin, in northeast of Iran by M. A. Zangeneh Asadi, L. Goli Mokhtari, R. Zandi, M. Naemitabar

“…Lastly, the algorithms predicted sediment levels, with the GBM algorithm estimating a sediment concentration of 8955 mg/liter with a relative error of 8.54%, indicating strong alignment with the total sediment load in the region.…”
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MILK FATTY ACID COMPOSITION IN HOLSTEIN COWS UNDER CHRONIC HEAT STRESS CONDITIONS by V. Danchuk, S. Midyk, V. Korniyenko, O. Izhboldina, N. Cherniy, А. Sydelnykov, V. Postoi, R. Mylostyvyi

“…As a result of research, it was found that the THI can be used to predict the performance and milk fatty acid composition in lactating high-yielding cows of the Holstein breed. …”
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Adoption of machine learning in streamlining maintenance strategies for effective operations in automotive industries by Aniekan Ikpe, Imoh Ekanem

“…Machine learning offers the potential to analyze vast amounts of data and predict maintenance needs accurately, leading to more efficient operations. …”
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Biomarkers of Oxidative Stress in Huntington's Disease and Other Neurological Disorders: a Comparative Study by Marisol Peña Sánchez, Gabriel Andrés Peña de los Santos, Gretel Riverón Forment, Gloria Lara Fernández, Tatiana Acosta Sánchez, Alina González-Quevedo Monteagudo

“…<strong>Foundation:</strong> biomarkers of oxidative stress in Huntington's disease could predict the course of the disease and evaluate new treatments, but their nonspecific nature seems to prevent the identification of any useful marker. …”
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Assessment of emotional intelligence level in intercultural educational environment by T. V. Kuprina, A. A. Evtyugina, S. M. Minasyan, O. V. Taranova

“…The research results help to understand the psychological characteristics of students of the humanities and economics specialities, taking into account the cultural context, which makes it possible to predict the difficulties and problems faced by teachers in the process of work with this type of students, to more accurately determine the characteristics and motives of their behaviour and the characteristics of the professional development of the individual. …”
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Рerioperative period of high-risk patients with coronary artery disease by O.K. Gogayeva

“…Conclusions. Despite the high predicted mortality (7.78 % by the EuroSCORE II scale) all the patients were discharged on average in 8.4 ± 3.5 days. …”
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Prognostic Value of Procalcitonin for Morbidity and Mortality in Patients after Cardiac Surgery by Ahmad Amouzeshi, Farshid Abedi, Mahmoud Zardast, Yaser Rezaeian Bilondi, Zahra Amouzeshi

“…Considering the importance of predicting the incidence of both complications and mortality caused by coronary artery bypass graft (CABG) surgery, this study was conducted to determine the serum PCT level and its relationship with one-year morbidity and mortality among CABG patients. …”
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Assessment of the Possibility of Transition Power Boilers to Alternative Solid Fuels by Modeling Combustion Processes by V. B. Prokhorov, V. S. Kirichkov, S. L. Chernov, M. V. Fomenko

“…The fusibility test cannot predict the real situation that occurs during the boiler operation. …”
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A Comparative Review of Alternative Fucoidan Extraction Techniques from Seaweed by Matthew Chadwick, Loïc G. Carvalho, Carlos Vanegas, Simone Dimartino

“…However, the direct relationship between fucoidan extracts’ chemical structures and bioactivities is unclear, making it extremely challenging to predict whether an extract will possess a given bioactivity. …”
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Like objects or like subjects? Effects of student–robot interaction (SRI) and mathematical ability on students learning outcomes by Segun Michael Ojetunde, Umesh Ramnarain

“…Affective engagements have a significant influence on critical thinking (β = .126, t = 3.19, p < 0.05) while both affective (β = 0.28, t = 5.63, p < 0.05) and cognitive (β = .17, t = 4.65, p < 0.05) engagements could predict students’ problem-solving. The conclusion was made that learning robotics is a potential instrument to develop students who can think critically to solve some long-standing problems in society. …”
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Estimating the Growing Degree Days in the Northwest of Iran based on Climate Change Models by Hasan Zolfaghari, Jafar Masoompourv Samakosh, Shabnam Chahvari

“…The purpose of this study is predicting climate changes and investigating the effect of probable climate change on the growing degree-days in the northwest of Iran. …”
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Effectiveness of Centrality Measures for Competitive Influence Diffusion in Social Networks by Fairouz Medjahed, Elisenda Molina, Juan Tejada

“…The EID index may be considered a valuable metric for predicting the effectiveness of a strategy in a competitive influence diffusion setting.…”
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Variability of anti-Müllerian hormone and folliculotropic hormone levels in women of reproductive age in relation to normal or impaired ovarian function by Małgorzata Jusiakowska-Piputa, Maria Kaczmarek

“…FSH marker did not differ compared to the control group in women aged 23–30 and 36–46. The predictive value of AMH in the diagnosis of PCOS is significantly higher than the commonly used FSH. …”
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Patient Preference for Once-Weekly Dosing in Type 2 Diabetes Mellitus in Japan by Rohini Sen, Alan L. Shields, Koichiro Atsuda

“…**Results:** Current treatment regimen, age, and work status were identified as the major demographic factors that were most predictive of QW preference. While, overall, 55.5% preferred QD and 33.3% preferred QW, the preference toward QW is higher in a specific cohort of patients that is treatment naïve (i.e., patients diagnosed with T2DM and/on diet/exercise therapy with no current or past experience with T2DM drug treatment) than who are on treatment, younger (age ≤64 years old), working full-time than part-time, and/or currently taking 0 or 1 drugs or more than 6 drugs (68.67% versus 30.12%). …”
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Development of New Models for the Estimation of Hourly Components of Solar Radiation: Tests, Comparisons, and Application for the Generation of a Solar Database in Morocco by Mohammed Benchrifa, Rachid Tadili, Ahmed Idrissi, Hajar Essalhi, Abdellah Mechaqrane

“…To create this database, in the beginning, we build up models for predicting the various components of the hourly solar radiation, from measurements provided by the different stations owned by the Laboratory of Solar Energy and Environment (LESE). …”
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Examining benign and malicious envy and flourishing among Muslim university students in Algeria: A quantitative study by Aiche Sabah, Musheer A. Aljaberi, Siti Aishah Hassan

“…The regression model indicated that only the academic year significantly impacted flourishing, while gender, age, and economic status did not significantly predict flourishing. In terms of benign and malicious envy, gender, age, family economic status, and academic year did not significantly impact either. …”
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Distribution and Conservation of Ephedra rhytidosperma by Chao Tan, David Kay Ferguson, Yong Yang

“…We used the MaxEnt model to predict the potential geographic distribution of E. rhytidosperma under past, current, and future climatic scenarios based on distributional occurrences and environmental data and investigated the conservation status and its effectiveness. …”
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