A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

“…The objective function of the optimization problem is defined as the sum of squared errors of the actual and predicted voltage data. The effectiveness of the proposed QUATRE-EMS algorithm is also checked through statistical analysis and the QUATRE-EMS variant is compared with other variants of DE optimization algorithms which are recently proposed in the state-of-the-art literature such as LSHADE, MadDE, CS-DE, LPalmDE, EDEV, jSO, SHADE, ISDE, and JADE. …”
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An experimental study of the effects of SNPs in the TATA boxes of the <i>GRIN1, ASCL3</i> and <i>NOS1</i> genes on interactions with the TATA-binding protein by E. B. Sharypova, I. A. Drachkova, I. V. Chadaeva, M. P. Ponomarenko, L. K. Savinkova

“…A comparison of experimental TBP–TATA affinity values (KD) of wild-type and minor alleles with predicted ones showed that the data correlate well (linear correlation coefficient r = 0.94, p &lt; 0.01).…”
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Plant Detection in RGB Images from Unmanned Aerial Vehicles Using Segmentation by Deep Learning and an Impact of Model Accuracy on Downstream Analysis by Mikhail V. Kozhekin, Mikhail A. Genaev, Evgenii G. Komyshev, Zakhar A. Zavyalov, Dmitry A. Afonnikov

“…The accurate identification of plants in field images provides estimates of plant number per unit area, detects missing seedlings, and predicts crop yield. Current methods are based on the detection of plants in images obtained from UAVs by means of computer vision algorithms and deep learning neural networks. …”
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Eco-reliable operation based on clean environmental condition for the grid-connected renewable energy hubs with heat pump and hydrogen, thermal and compressed air storage systems by Aboulbaba Eladeb, Ali Basem, Aman Sharma, Aashim Dhawan, Prabhat Sharma, Mohamed Bouzidi, Lioua Kolsi, Elnaz Naderi Drehshori

“…Reliability is accurately predicted by scenario-based techniques to stochastic optimization. …”
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Challenges and Technology Trends in Implementing a Human Resource Management System: A Systematic Literature Review by Rahma Destriani, Raihansyah Yoga Adhitama, Dana Indra Sensuse, Deden Sumirat Hidayat, Erisva Hakiki Purwaningsih

“…Exciting technology trends offer promise for next-generation HRMS solutions, including artificial intelligence (AI), machine learning, predictive analytics, and mobile accessibility. This shows the need for a systematic literature review to comprehensively map the challenges and technology trends shaping the implementation of HRMS. …”
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ANTROPOLOGICAL SKETCH OF THE SOCIAL STRUCTURE OF TRANSITIONAL SOCIETY by I. M. Bondarevych, N. M. Dievochkina

“…The social structure model of a particular transition society created by the results of future sociological researches will allow to predict the state and prospects of its social transformations. …”
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Interface Acoustic Waves in 128° YX-LiNbO₃/SU-8/Overcoat Structures by Cinzia Caliendo, Massimiliano Benetti, Domenico Cannatà, Farouk Laidoudi, Gaetana Petrone

“…Numerical analysis results showed the following: (i) an overcoat faster than the piezoelectric half-space ensures that the wave propagation is confined mainly close to the surface of the LiNbO₃, although with minimal scattering in the overcoat; (ii) the presence of the SU-8, in addition to performing the essential function of an adhesive layer, can also promote the trapping of the acoustic energy toward the surface of the piezoelectric substrate; and (iii) the electromechanical coupling efficiency of the IAW is very close to that of the surface acoustic wave (SAW) along the bare LiNbO₃ half-space. The numerical predictions were experimentally assessed for some SU-8 layer thicknesses and overcoat material types. …”
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Using airborne LiDAR and enhanced-geolocated GEDI metrics to map structural traits over a Mediterranean forestZenodo by Aaron Cardenas-Martinez, Adrian Pascual, Emilia Guisado-Pintado, Victor Rodriguez-Galiano

“…We locally calibrated GEDI spaceborne measurements using discrete point clouds collected by Airborne Laser Scanner (ALS) to adjust the geolocation of GEDI waveform metrics and to predict GEDI structural traits such as canopy height, foliage height diversity or leaf area index. …”
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A Comparison of Dental Students&rsquo; Self-Assessment and Instructors&rsquo; Assessment in Competency Examinations in a Preclinical Operative Dentistry Course by Alghilan MA, Munaga S, Aldakhil A

“…There was no significant difference in the scoring of instructors and high achievers classified in the “excellent” category (p = 0.392).Conclusion: In preclinical operative dentistry education, students’ ability to accurately self-assess the quality of their work varies, and may be predicted by gender and achievement level. Students who underestimate their performance in self-assessment tend not to show improvement in their actual performance.Keywords: assessment, dental education, dental student, operative dentistry, rubric, self-assessment…”
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Comparison of Inhibitor and Substrate Selectivity between Rodent and Human Vascular Adhesion Protein-1 by Ryo Kubota, Michael J. Reid, Kuo Lee Lieu, Mark Orme, Christine Diamond, Niklas Tulberg, Susan H. Henry

“…A previous comparison of purified recombinant VAP-1 from mouse, rat, monkey, and human gene sequences predicted that rodent VAP-1 would have higher affinity for smaller hydrophilic substrates/inhibitors because of its narrower and more hydrophilic active site channel. …”
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Immunohistochemical Study of NR2C2, BTG2, TBX19, and CDK2 Expression in 31 Paired Primary/Recurrent Nonfunctioning Pituitary Adenomas by Xiaohui Yao, Yazhuo Zhang, Lijuan Wu, Rui Cheng, Chuzhong Li, Chongxiao Qu, Hongming Ji

“…This study investigated potential markers for predicting nonfunctioning pituitary adenoma (NFPA) invasion and recurrence by high-throughput tissue microarray analyses. …”
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Neuropsychological morbidity in the First Seizure Clinic: Prominent mood symptoms and memory issues in epilepsy by Remy Pugh, David N. Vaughan, Graeme D. Jackson, Jennie Ponsford, Chris Tailby

“…Therefore, along with standard epilepsy investigations, memory performances could help to predict which patients have epilepsy versus a non‐epileptic condition after a first suspected seizure. …”
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Global leukemia burden and trends: a comprehensive analysis of temporal and spatial variations from 1990—2021 using GBD (Global Burden of Disease) data by Pengyu Huang, Jie Zhang

“…Hierarchical clustering and forecasting models, including ARIMA and Exponential Smoothing (ES), were utilized to predict future trends. Notably, ARIMA and ES smoothing parameters were meticulously identified and estimated. …”
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Lake Baikal amphipods and their genomes, great and small by P. B. Drozdova, E. V. Madyarova, A. N. Gurkov, A. E. Saranchina, E. V. Romanova, J. V. Petunina, T. E. Peretolchina, D. Y. Sherbakov, M. A. Timofeyev

“…Crossing experiments conducted so far for two morphological species suggest that the differences in the mitochondrial marker (cytochrome c oxidase subunit I gene) can potentially be applied for making predictions about reproductive isolation. For about one­tenth of the Baikal amphipod species, nuclear genome sizes and chromosome numbers are known. …”
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The temporal scale of energy maximization explains allometric variations in movement decisions of large herbivores by Daniel Fortin, Christopher F. Brooke, Hervé Fritz, Jan A. Venter

“…Most studies, however, have not considered that predictions of optimal diet depend on the temporal scale of maximization. …”
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Exploring the Diversity and Ecological Dynamics of Palm Leaf Spotting Fungi—A Case Study on Ornamental Palms in Portugal by Diana S. Pereira, Alan J. L. Phillips

“…With climate change altering environmental conditions, the identification of fungi thriving in or inhabiting these microhabitats becomes crucial for predicting shifts in pathogen dynamics and mitigating future fungal disease outbreaks. …”
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Sonographic Assessment of Intravascular Fluid Estimate (SAFE) Score by Using Bedside Ultrasound in the Intensive Care Unit by Keith Killu, Victor Coba, Dionne Blyden, Semeret Munie, Darlene Dereczyk, Pridvi Kandagatla, Amy Tang

“…Applying a numerical scoring system was evaluated by Fisher’s exact testing and multinomial logistic model to predict the volume status based on ultrasound scores and the classification accuracy. …”
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Estimation of Total Suspended Solids Concentration in Streams Using Regression and Artificial Neural Networks Methods by Betül Mete, Sinan Nacar, Adem Bayram, Osman Tuğrul Bak

“…In this study considering total suspended solids (TSS) parameter monitored in a stream watershed, the predictability of upstream values from downstream data was investigated using regression analysis, which were applied to linear, power, exponential, and quadratic functions, and artificial neural networks (ANNs) method. …”
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Community knowledge of Australia’s national preventive health strategy focus areas: a nationally representative survey of 1509 adults by Amie Steel, Hope Foley, Jon Adams

“…The degree to which accessing information about a preventive health focus area from one of the three categories of health professional predicted the accuracy of the participant’s knowledge about that focus area was determined using logistic regression. …”
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Mind the leaf anatomy while taking ground truth with portable chlorophyll meters by Zuzana Lhotáková, Eva Neuwirthová, Markéta Potůčková, Lucie Červená, Lena Hunt, Lucie Kupková, Petr Lukeš, Petya Campbell, Jana Albrechtová

“…For grasses, the model to predict chlorophyll content across multiple species had low performance with CCM-300 (R2 = 0.45, nRMSE = 11%) and failed for SPAD. …”
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