Dynamic tracking of objects in the macaque dorsomedial frontal cortex by Rishi Rajalingham, Hansem Sohn, Mehrdad Jazayeri

“…Decades of human experiments have shown that behaviors in many physical reasoning tasks are consistent with predictions from the mental simulation theory. However, evidence for the defining feature of mental simulation – that neural population dynamics reflect simulations of physical states in the environment – is limited. …”
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INTERCOMPARISON OF PROCESS-BASED PHYSICAL AND MATHEMATICAL HYDROLOGICAL MODELS IN DATA-SCARCE SEMI-ARID REGION OF ERITREA by Dmitry V. Kozlov, Anghesom A. Ghebrehiwot

“…As such, models that provide reliable streamflow predictions in the region as well as whose errors and uncertainties are within acceptable ranges could be identified. …”

Improvement of the Early-Age Compressive Strength, Water Permeability, and Sulfuric Acid Resistance of Scoria-Based Mortars/Concrete Using Limestone Filler by Aref Al-Swaidani, Andraos Soud, Amina Hammami

“…Based on the results obtained, an empirical equation was derived to predict the compressive strength of mortars.…”
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The Arctic and Antarctic Sea-Ice Area Index Records versus Measured and Modeled Temperature Data by Nicola Scafetta, Adriano Mazzarella

“…On the contrary, we found that the CMIP5 general circulation models have predicted significant warming in both polar sea regions and failed to reproduce the strong 4-5-year oscillation. …”
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An Anthropometric Risk Index Based on Combining Height, Weight, Waist, and Hip Measurements by Nir Y. Krakauer, Jesse C. Krakauer

“…The superior performance of ARI also holds for predicting mortality hazard in the independent Atherosclerosis Risk in Communities (ARIC) cohort. …”
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Development of High-Performance Soft Robotic Fish by Numerical Coupling Analysis by Wenjing Zhao, Aiguo Ming, Makoto Shimojo

“…In this paper, acoustic fluid-structural coupling analysis is applied to consider the fluid effect and predict the dynamic responses of soft robotic fish in the fluid. …”
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Facial emotion recognition in adolescent depression: The role of childhood traumas, emotion regulation difficulties, alexithymia and empathy by Hesna Gul, Yasemin Tas Torun, Fatma Hulya Cakmak, Ahmet Gul

“…Boys have lower fear recognition skill than girls and higher childhood emotional abuse, physical abuse, emotional neglect, and difficulty in describing feelings to predict lower fear recognition skill. For sadness recognition skill, emotional neglect, difficulty in describing feelings, and depression severity were the negative predictors. …”
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Effect of Soil Type on Running Performance of Small Lunar Rover by Kimitaka Watanabe, Tomoki Horiguchi, Kazuto Tanaka

“…In this study, a small rover was designed and created, and running tests were conducted using lunar soil simulant and silica sand to predict its performance on the lunar surface. The effects of soil differences on the performance of the rover were clarified through the running tests and the measurement of reaction force on the lug. …”
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Validation of the Persian Involuntary Musical Imagery Scale alongside multifaceted investigation of earworms among Iranian college students by Aref Tabahori, Imanollah Bigdeli, Hossein Kareshki

“…The primary aim of our study is to validate the Persian Involuntary Musical Imagery Scale (PIMIS) and, secondly, to carry out a detailed exploration of earworms among Iranian college students.MethodsA total of 946 Iranian college students were recruited to answer the Persian Involuntary Musical Imagery Scale (PIMIS), and gold standards including the Thought Control Questionnaire (TCQ, to convergent validity), the Depression, Anxiety, and Stress Scale (DASS-21, to concurrent validity), the White Bear Suppression Inventory (WBSI, to predictive validity), as well as the NEO Five-Factor Inventory (NEO-FFI), the Obsessive-Compulsive Inventory-revised (OCI-R), and socio-demographic queries. …”
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Comparative study on tensile and high cycle fatigue behaviour of 316L(N) SS hardfaced with Ni-Cr-B-Si alloy by GTA and laser cladding processes by Amruta Pasarkar, S. Balaguru

“…From the experimental testing, stress-strain and S-N curves are generated to predict the tensile and fatigue behaviour of specimens. …”
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Associative learning and recollection of olfactory memory during the respiratory cycle in mammals: how is the self cognized in consciousness? by Kensaku Mori, Hitoshi Sakano

“…Associative learning of odor signals and object cognition enables us to predict cognitive imagery of an environmental object. …”
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Econometric Estimates of Russia's Turn to the East by A. A. Baykov, V. A. Gnevasheva

“…The analysis reveals a number of stable features indicating the possibility of modeling a reasonable predictive scenario. The proposed estimates can also be used for further study of the directions of interaction between Russia and the East, methodological and empirical clarification of the emerging relationships, determination of significant factors strengthening the noted interactions.…”
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A novel metal transporter mediating manganese export (MntX) regulates the Mn to Fe intracellular ratio and Neisseria meningitidis virulence. by Frédéric J Veyrier, Ivo G Boneca, Mathieu F Cellier, Muhamed-Kheir Taha

“…Using bioinformatics, gene deletion and heterologous expression we identified a conserved bacterial manganese resistance factor MntX (formerly YebN). The predicted structure suggests that MntX represents a new family of transporters exporting Mn. …”
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Energy-Efficient and Fault-Tolerant Control of a Six-Axis Robot Based on AI Models by Patryk Nowak, Zoran Pandilov

“…Specifically, a genetic algorithm is used to generate learning data for the selection of the optimal kinematic configuration of the robot, and a multilayer perceptron is utilized to predict the parameters of the defined reward function. …”
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Bearing Fault Diagnosis Method Based on Multidomain Heterogeneous Information Entropy Fusion and Model Self-Optimisation by Renwang Song, Xiaolu Bai, Rui Zhang, You Jia, Lihu Pan, Zengshou Dong

“…Incomplete diagnostic information, inadequate multisource sensor information, weak diagnosis models, and subjective experience result in difficulty in predicting rotating machinery faults. To overcome these limitations, we proposed a multiple domain and heterogeneous information entropy fusion model based on an optimisation of bearing fault diagnosis. …”
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UAV selection for high-speed train communication using OTFS modulation by Ehab Mahmoud Mohamed, Sherief Hashima

“…Based on these estimates, HST can predict the maximum coverage period each UAV provides, allowing for selecting the best UAV while considering their remaining battery capacities. …”
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Unintended Pregnancy among Pregnant Women in Ghana: Prevalence and Predictors by Samuel H. Nyarko

“…The prevalence of unintended pregnancies was computed, and logit regression models were fitted to predict the factors influencing unintended pregnancies in the country. …”
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Effect of Wrapping on Post-Tensioned Beams Strengthened with Natural Sisal and Jute FRP Using Finite Element Analysis by D. P. Archana, H. N. Jagannatha Reddy, R. Prabhakar, M. U. Aswath, Basavaraju Paruti

“…In this study, comparisons are done in terms of load bearing capability of the beams for configurations between FE model predictions and field data (experimental). To assess the FRP retrofit, structural responses for strengthened and control post tensioned concrete (PTC) beams are compared, with strengthening using various wrapping methods. …”
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The potential of an integrated pharmaceutical care model with telepharmacy in adherence and knowledge about pharmacological treatment in patients with mental disorders: A clinical... by Núbia Cristina Burgo Godoi de Carvalho, Ana Carolina Figueiredo Modesto, Mércia Pandolfo Provin

“…Participants in the intervention group received a comprehensive pharmaceutical care model that included attitudinal, technical, and educational interventions, while the control group received standard routine care. Predictive factors for adherence to pharmacological treatment and level of medication knowledge were assessed before and after the intervention. …”
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Measurement of Apelin as a Biomarker and Its Relationship to Cystatin C, Copeptin, and Glomerular Filtration Rate in Serum of Patients with Acute Kidney Injury in Mosul City, Iraq by Anwar S. Majeed, Layla A. Mustafa

“…Conclusion: The results showed that serum apelin levels decreased in the blood serum of the acute kidney injury group, corresponding to an increase in the level of both cystatin C and copeptin levels and a decrease in the estimated glomerular filtration rate compared to the control group, which indicates the possibility that apelin is a strong predictive biomarker for acute kidney injury, and it can play a good preventive and therapeutic role in the future.…”
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