Molecular and Phylogenetic Analysis of Bovine Papillomavirus Type 1: First Report in Iraqi Cattle by Mohammed A. Hamad, Ahmed M. Al-Shammari, Shoni M. Odisho, Nahi Y. Yaseen

“…Obtaining a complete E5 gene sequence enabled us to perform structural predictions. This study presents the first report of BPV-1 infection in the Iraqi cattle and contributes to extending the knowledge of the origin of the spread of this disease. …”
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Advancing CO2++ Modeling in the Martian Dayside Ionosphere: Insights from Natural Lifetime Analysis by Long Cheng, Erik Vigren, Moa Persson, Hao Gu, Jun Cui

“…We show that extending the assumed CO _2 ^++ lifetime significantly reduces the discrepancy between the photochemical model predictions and MAVEN observations. Specifically, when treating CO _2 ^++ as stable against natural dissociation, instead of invoking a lifetime of 4 s as done in previous studies, the data-to-model ratio comes close to unity throughout the altitude range 160–220 km. …”
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Measuring enablers and indicators of employee engagement: Internal validity of the Flow@Work engagement survey by Melinde Coetzee, Dieter Veldsman, Ingrid L. Potgieter, Nadia Ferreira

“…The findings contributed new insights to the engagement research literature by revealing the nature and relative importance of different engagement enablers in predicting employee willingness and commitment as indicators of organisational employee engagement. …”
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Developing a Silicon Beam Emulator Using Graph Attention Networks by Siyuan Lv, Qianxi Cheng, Haojie Gong, Hao Gao, Dong Zhou, Zheng Duanmu

“…The trained GAT achieved a remarkable accuracy, with over 91% of predictions exhibiting an error no more than 3%, while the computation time for a single graph remained under 2 milliseconds. …”
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Personal model‐assisted identification of NAD+ and glutathione metabolism as intervention target in NAFLD by Adil Mardinoglu, Elias Bjornson, Cheng Zhang, Martina Klevstig, Sanni Söderlund, Marcus Ståhlman, Martin Adiels, Antti Hakkarainen, Nina Lundbom, Murat Kilicarslan, Björn M Hallström, Jesper Lundbom, Bruno Vergès, Peter Hugh R Barrett, Gerald F Watts, Mireille J Serlie, Jens Nielsen, Mathias Uhlén, Ulf Smith, Hanns‐Ulrich Marschall, Marja‐Riitta Taskinen, Jan Boren

“…Our systems level analysis predicted an altered demand for NAD+ and glutathione (GSH) in subjects with high HS. …”
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Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression Process by Jelena Djuriš, Djordje Medarević, Marko Krstić, Ivana Vasiljević, Ivana Mašić, Svetlana Ibrić

“…Based on the obtained ANNs models, it is possible to predict tablet hardness and paracetamol release profile for any combination of analyzed factors.…”
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Lyophilised protein formulations as a patient-centric dosage form: A contribution toward sustainability paradigm by Žiberna Maja Bjelošević, Grabnar Pegi Ahlin, Gašperlin Mirjana, Matjaž Mirjam Gosenca

“…The most important finding is that sucrose plays a key role in the lyophilisation of investigated protein, nevertheless, it can be predicted that, to ensure the beneficial effect of mannitol, its amount has to prevail over the amount of sucrose.…”
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Extending Technology Acceptance Model with Scientific Epistemological and Science Teaching Efficacy Beliefs: A Study with Preservice Teachers by Tezcan Kartal, Ibrahim Serdar Kiziltepe, Busra Kartal

“…There are various external variables extended to TAM to increase the predictivity of the model and the generalizability of findings. …”
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Forecasting Latin America’s Country Risk Scores by Means of a Dynamic Diffusion Model by R. Cervelló-Royo, J.-C. Cortés, A. Sánchez-Sánchez, F.-J. Santonja, R.-J. Villanueva

“…In this contribution, we present a diffusion model to study the dynamics of the CRS in 18 Latin American countries which considers both the endogenous effect of each country policies and the contagion effect among them. The model predicts quite well the evolution of the CRS in the short term despite the economic and political instability. …”
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Algorithm for estimating Cr coating thickness for accident tolerant fuel cladding using a pancake ECT sensor by Jeong Won Park, Daegyun Ko, Hun Jang, Hoyoung Kim, Jaebeom Lee, Wonjae Choi

“…The application of this algorithm to predict the coating thickness in 10 out of 30 specimens demonstrated high accuracy without prior knowledge of conductivity of the materials.…”
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Hybrid model for wind power estimation based on BIGRU network and error discrimination‐correction by Yalong Li, Ye Jin, Yangqing Dan, Wenting Zha

“…Abstract Accurate estimation of wind power is essential for predicting and maintaining the power balance in the power system. …”
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Elucidating Clinical Queries for Tailored Therapy in Patients with Prolactinoma by Min-Ho Lee, Jae Won Hong, Kyungwon Kim, Cheol Ryong Ku, Eun Jig Lee

“…This review aims to enhance clinical decision-making and patient care for endocrinologists by focusing on several key factors: predictive markers of DA sensitivity, clinical characteristics and suitability for transsphenoidal adenomectomy as a potential first-line treatment, factors determining the successful withdrawal of DAs after prolonged use, safety concerns during pre/post-pregnancy and breastfeeding, and determinants of tumor aggressiveness. …”
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A Review of AI Applications in Unconventional Oil and Gas Exploration and Development by Feiyu Chen, Linghui Sun, Boyu Jiang, Xu Huo, Xiuxiu Pan, Chun Feng, Zhirong Zhang

“…This paper reviews how deep learning helps predict gas distribution and classify rock types. …”
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Integrating feedback control for improved human-structure interaction analysis by Santiago A. Lopez, Daniel Gomez, Albert R. Ortiz, Sandra Villamizar

“…The results of this study indicate that feedback controllers accurately predict the experimental structural response for different subjects. …”
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Liquidus curve of uranium–plutonium mixed oxide (MOX) system by Leonid Burakovsky, Dean L. Preston, Andrew A. Green

“…The model uses the known melting curves of pure constituents as an input and predicts the melting curve of their mixture. It has only one free parameter, which must be determined independently. …”
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Mesoscopic Numerical Simulation of Fracture Process and Failure Mechanism of Concrete Based on Convex Aggregate Model by Yijiang Peng, Xiyun Chen, Liping Ying, Ying Chen, Lijuan Zhang

“…The numerical simulation results indicate that the base force element method can be applied to predict the failure pattern of concrete under compressive loading, which have a good accordance with the available experiment data. …”
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Market Trends in 2024 in the IT Project Management Industry by Nicoleta-Madalina Stan, Adrian Bogorin Predescu, Aurel Mihail Titu

“…The emergence of artificial intelligence and machine learning is transforming project management tools, offering predictive analytics and improved decision-making abilities. …”
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Identification of Two Novel HLA-A∗0201-Restricted CTL Epitopes Derived from MAGE-A4 by Zheng-Cai Jia, Bing Ni, Ze-Min Huang, Yi Tian, Jun Tang, Jing-Xue Wang, Xiao-Lan Fu, Yu-Zhang Wu

“…MAGE-A4 antigen is extensively expressed in various histological types of tumors, so it represents an attractive target for tumor immunotherapy. In this study, we predicted HLA-A∗0201-restricted cytotoxic T lymphocyte (CTL) epitopes of MAGE-A4, followed by peptide/HLA-A∗0201 affinity and complex stability assays. …”
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The Role of Interferon Regulatory Factor-1 (IRF1) in Overcoming Antiestrogen Resistance in the Treatment of Breast Cancer by J. L. Schwartz, A. N. Shajahan, R. Clarke

“…By understanding IRF1 signaling in the context of endocrine responsiveness, we may be able to develop novel therapeutic strategies and better predict how patients will respond to endocrine therapy.…”
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Leakage Characteristic of Helical Groove Seal Designed in Reactor Coolant Pump by Meng Zhang, Xiao-fang Wang, Sheng-li Xu, Shuo Yin

“…The flow and the friction factors in helical groove seals are predicted by employing a commercial CFD code, FLUENT. …”
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