Old residual mortar as a quality indicator of recycled brick aggregate by Md Roknuzzaman, NHM Kamrujjaman Serker, Md Mahabub Rahman

“…The developed models may be used to predict the expected quality of RBA and ReC based on their attached old RM, which would be helpful in deciding their usage for different applications.…”

Analysis of the impact of space organization on the viability of the Karaj metropolitan core by behrouz hashemi, farzaneh sasanpor, ali movahed, Habiallah Fasihi

“…Abstract With the rapid growth of population and urbanization since the last century, the complexity and understanding of the spatial organization of the city, as well as the ability to predict urban events in its spaces, have become difficult and in some cases impossible. …”
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Elucidating the Correlation of D-Dimer Levels with COVID-19 Severity: A Scoping Review by Wesam Ahmed Nasif, Abeer Shaker El-Moursy Ali, Mohammed Hasan Mukhtar, Aali Marzouq H. Alhuzali, Yahya Ahmed Yahya Alnashri, Ziyad Ishaq Ahmed Gadah, Eyyad Adeeb A. Edrees, Hussam Abdulaziz Mabruk Albarakati, Hussam Saud Muhji Aloufi

“…It has been postulated that D-dimer could potentially be used as a biomarker to predict the prognosis and outcome of COVID-19 patients at the time of admission to hospitals and facilitate more personalized and efficient clinical management that could significantly reduce the mortality rate of such patients and allow more rapid recovery.…”
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The Potential Dual Role of H2.0-like Homeobox in the Tumorgenesis and Development of Colorectal Cancer and Its Prognostic Value by Shuo Chen, Lin Zhang, Kai Wang, Jizhen Huo, Siqi Zhang, Xipeng Zhang

“…A nomogram was established to predict 1-, 3-, and 5-year overall survival of CRC patients. …”
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Closed-Form Models of Accuracy Loss due to Subsampling in SVD Collaborative Filtering by Samin Poudel, Marwan Bikdash

“…We postulate and analyze a nonlinear subsampling accuracy loss (SSAL) model based on the root mean square error (RMSE) and two SSAL models based on the mean square error (MSE), suggested by extensive preliminary simulations. The SSAL models predict accuracy loss in terms of subsampling parameters like the fraction of users dropped (FUD) and the fraction of items dropped (FID). …”
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Modification of Medium Composition for Enhancing the Production of Antifungal Activity from Xenorhabdus stockiae PB09 by Using Response Surface Methodology by Chirayu Sa-uth, Paweena Rattanasena, Angsumarn Chandrapatya, Prapassorn Bussaman

“…After that, the suitable carbon, nitrogen, and mineral sources were selected and adjusted by the second-order polynomial regression model, which predicted that 98.62% of antifungal activity could be obtained when the medium contained sucrose, yeast extract, NaCl, and K2HPO4 at 3.24, 23.71, 5.46, and 2.73 g/L, respectively. …”
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Functional genomic insights into Floricoccus penangensis ML061-4 isolated from leaf surface of Assam tea by Patthanasak Rungsirivanich, Elvina Parlindungan, Jennifer Mahony, Witsanu Supandee, Narumol Thongwai, Douwe van Sinderen

“…The complete genome of F. penangensis ML061-4 consists of single chromosome of 2,159,127 base pairs, containing a GC content of 33.2% and encompassing 2049 predicted protein-encoding genes. A total of 1195 genes (58.0%) in the F. penangensis ML061-4 genome have assignable functions based on BlastKOALA analysis. …”
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Comprehensive Analysis of Gene Signatures of m6ARNA Methylation Regulators in Lung Adenocarcinoma and Development of a Risk Scoring System by Chundi Gao, Huayao Li, Wenzhe Ma, Qiming Zhang, Cun Liu, Lijuan Liu, Jing Zhuang, Changgang Sun

“…Compared with other clinical traits, a prognostic risk score system constructed using the M6A regulatory factors HNRNPA2B1 and HNRNPC can serve as an independent prognostic method for LUAD, with higher predictive sensitivity and specificity. Risk scores were significantly higher for cluster 2 than 1, which was consistent with the trend towards a better prognosis in cluster 1. …”
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The Hottest Neptunes Orbit Metal-rich Stars by Shreyas Vissapragada, Aida Behmard

“…These origin stories make different predictions for the metallicities of Neptune desert host stars. …”
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Criminological Scenarios of Crime Situation’s Transformation in the Context of Armed Conflict on Donbass in the Midterm by O. О. Titarenko

“…It has been noted that the construction of predictive criminological scenarios for changing the crime situation for the relevant time perspective is perspective for their use in the development of strategic program documents for the implementation of the state policy in the field of combating crime. …”
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Symmergent Gravity, Seesawic New Physics, and Their Experimental Signatures by Durmuş Demir

“…This setup, carrying fingerprints of trans-Planckian SUSY, predicts that gravity is Einstein (no higher-curvature terms), cosmic/gamma rays can originate from heavy NP scalars, and the UV cutoff might take right value to suppress the cosmological constant (alleviating fine-tuning with SUSY). …”
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Characterization of the algC Gene Expression Pattern in the Multidrug Resistant Acinetobacter baumannii AIIMS 7 and Correlation with Biofilm Development on Abiotic Surface by Praveen K. Sahu, Pavithra S. Iyer, Sagar H. Barage, Kailas D. Sonawane, Balu A. Chopade

“…Our observation on differential expression pattern of algC having strong correlation with important biofilm stages, scanning electron-microscopic evidence of biofilm augmentation taken together with predictive enzyme functions via molecular dynamic (MD) simulation, proposes a new basis of A. baumannii AIIMS 7 biofilm development on inanimate surfaces.…”
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Initial Stand Volume and Residual Live Trees Drive Deadwood Carbon Stocks in Fire and Harvest Disturbed Boreal Forests at North‐Central Alberta by Richard Osei, Charles A. Nock

“…A candidate model with initial stand volume (ISV), basal area of live trees, and size heterogeneity of live trees best predicted snag and CWD C stocks in both disturbance types, but their relative importance was inconsistent. …”
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College students’ entrepreneurship education path and management strategy of start-up enterprises using causal attribution theory by Qingquan Liu, Xuewei An, Wei Chen

“…Moreover, the management strategy based on DL and AI can help start-up enterprises accurately and timely predict risks, find their source of risks, and minimize potential losses. …”
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Prevalence of Oral Manifestations and Their Association with CD4/CD8 Ratio and HIV Viral Load in South India by Sharma Gaurav, Pai M. Keerthilatha, Nagpal Archna

“…Patients having any oral manifestation had a mean CD4/CD8 ratio of 0.24. EC had positive predictive value of 85.0% for CD4/CD8 ratio <0.30. The prevalence of oral manifestations in patients taking ART was lesser (78.6%) as compared to patients not taking ART (82%). …”
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Modelling and Production of Injection Moulded Polyvinylchloride--Sawdust Composite by C.O. Aliyegbenoma, J.A. Apkobi, D.D. Olodu

“…The values obtained from the validation of these models were therefore found to be satisfactory, and shows good predictability of the model and its adequacy. Keywords: Composite, Modeling, Polyvinylchloride, Sawdust. …”
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Evolutionary patterns of the SSU rRNA (V4 region) secondary structure in genus Euplotes (Ciliophora, Spirotrichea): insights into cryptic species and primitive traits by Ratih Kusuma Wardani, Ragib Ahsan, Mann Kyoon Shin

“…This study examines the evolutionary patterns of the SSU rRNA secondary structure within this genus, aiming to elucidate its role in supporting evolutionary relationships and uncovering cryptic species. By predicting the secondary structure of SSU rRNA and applying the CBC (Compensatory Base Change) concept analysis, we examined 69 species of the genus Euplotes, with 57 SSU rRNA gene sequences retrieved from GenBank and 12 newly sequenced specimens from South Korea. …”
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Sensitivity of physical parameterization of WRF model in urban climate simulation and Heat Island mitigation in a stable atmospheric condition (case study: Tehran and Alborz provin... by fahimeh shakeri, gholamabbas Fallah ghalhari, hashem akbari, zahra hejazizadeh

“…Two indices of Root Mean Square Error (RMSE), and Mean Bias Error (MBE) were used to evaluate the predictive performance of the model and its corresponding observational values. …”
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First-principles based data-driven strain engineering for ferroelectrics via active machine learning: A nonlinear piezoelectric constitutive equation by Susumu MINAMI, Yasuaki MARUYAMA, Yoshimasa ABE, Tomohiro NAKAYAMA, Takahiro SHIMADA

“…Our machine learning model can accurately predict the nonlinear mechanical deformation and electromechanical response in the three components of normal strain loading. …”
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Analysis of the relationship between cotton fiber quality and weather conditions in the southeast of Stavropol Territory by N. A. Khodzhaeva, L. P. Podolnaya

“…Knowledge of the relationship between fiber quality and weather conditions during the fiber development period will help to predict the quality of cotton fiber in advance and prognosticate its utilization.…”
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