Accelerated discovery and testing of Fe–Co–Cr–Ni–Mo ferrous medium-entropy alloys: advanced in-situ alloying via direct energy deposition by Jae Heung Lee, Ji Yeong Lee, Bon Woo Koo, Dae-Kyeom Kim, Jungwan Lee, Eun Seong Kim, Hyojeong Ha, Taek-Soo Kim, Hyoung Seop Kim

“…These selected compositions were fabricated in bulk samples, and tensile testing of bulk samples revealed that Fe53.9Co16.8Cr11.7Ni11.5Mo6.0 demonstrated superior tensile properties with improved strain hardening behavior, identifying it as optimized composition. This study offers valuable insights to advance the development of novel alloys through high-throughput synthesis methods.…”
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Parenting through place‐of‐care disruptions: A qualitative study of parents' experiences of neonatal care by Caroline Cupit, Alexis Paton, Elaine Boyle, Thillagavathie Pillay, Josie Anderson, Natalie Armstrong, the OPTI‐PREM team

“…Although previous studies have captured subjective experiences of parents, there has been little research exploring the material practices undertaken by parents as a consequence of place‐of‐care decisions, or the social organisation of those practices. Methods As part of a wider study exploring optimal place‐of‐care, semistructured interviews were conducted between July 2018 and October 2019 with 48 parents (36 families) with one or more preterm babies (born at 27–31 weeks gestation) cared for in a neonatal unit in the last 12 months. …”
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DeepATsers: a deep learning framework for one-pot SERS biosensor to detect SARS-CoV-2 virus by Ankhbayar Nyamdavaa, Kiran Kaladharan, Erdene-Ochir Ganbold, Seungdo Jeong, Seonuck Paek, Yansen Su, Fan-Gang Tseng, Tseren-Onolt Ishdorj

“…The deep learning model deployed optimal hyperparameters and outperformed in most measurements comparing supervised machine learning methods such as RF, GBM, SVM, and KNN, both with and without augmented spectral datasets. …”
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Effect of salinity on the soybean plants symbiotic and photosynthetic apparatuses activity under rhizobia inoculation with the addition of Ge and Mo nanocarboxylates by Dmytro Kiriziy, Ivan Obeziuk, Lyudmyla Mykhalkiv, Sergii Kots

“…Materials and Methods. The research was conducted on symbiotic systems created with the participation of soybean plants (Glycine max (L.) …”
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The impact of exercise therapy on rehabilitation outcomes after anterior cruciate ligament reconstruction: a network meta-analysis by Zhaojin Zhong, Wenzhi Guo, Qizhou Gu, Tao Pang, Liangfa Li, Anying Hao

“…The network meta-analysis revealed that both whole-body vibration training (WBVT) and water rehabilitation training (WR) significantly improved quadriceps strength, with effect sizes of (SMD = 1.66, 95% CI: 0.44, 2.87, P < 0.05) for both, although the evidence quality was low. …”
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Mixed Integer Nonlinear Programming-Based Unit Commitment of Conventional Thermal Generators Using Hybrid Evolutionary Algorithms by Syed Arslan Ali Shah, Noor Hussain Mugheri, Riaz Hussain Memon, Aamir Ali Bhatti, Muhammad Usman Keerio

“…Results show that the proposed method can find the global optimal solution to the UC problem which is subjected to satisfy all the operational constraints. …”
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Assessment of Minimum Miscibility Pressure for CO2 Injection by an Enhanced Peng-Robinson Equation of State using Different Approaches. A Case Study for an Iraqi Oil Field by Rusul H. Rabeeah, Mohammed S. Al-Jawad

“…Cell to cell, key tie line, and multiple mixing, and when compared with the correlations, it was found that the multiple mixing method gave the highest error rates than the rest of the methods, while key tie line and cell to cell gave the same value of minimum miscible pressure. …”
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Synthesis of evasive maneuver control of unmanned aerial vehicle for terminal restrictions by N. Y. Polovinchuk, S. V. Ivanov, L. I. Kotelnitskaya

“…Consideration of the problem in this formulation distinguishes it from the classical conflict tasks on the prosecution to be solved with the involvement of the theory of differential games, and demands computationally efficient solution methods. Materials and Methods. For the UAV operating under the conditions of violent disturbances, the most effective hard constraints on the phase variables and control are the so-called methods of optimal terminal control that implement adaptive algorithms with projection. …”
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A Multi-Vector Modulated Model Predictive Control Based on Coordinated Control Strategy of a Photovoltaic-Storage Three-Port DC–DC Converter by Qihui Feng, Meng Zhang, Yutao Xu, Chao Zhang, Dunhui Chen, Xufeng Yuan

“…The proposed modulated MPC method utilizes three basic vectors to calculate the optimal switching sequence for minimizing the error vector. …”
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Indoor Air Pollution Source Localization Based on Small-Sample Training Convolutional Neural Networks by Tiancheng Ye, Mengtao Han

“…In cross-scenario verification, the localization accuracy within a 1 m radius increased to 100%, and the corresponding predicted Euclidean distance error decreased by 21.43%. By using the optimal cutting ratio (α = 0.25) and a rotation-enhanced dataset (θ = 10°, n = 36), the model reduced the cross-space sample requirement to 1/5 of that of the benchmark scenario while ensuring the accuracy of spatial representation. …”
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The effectiveness of google sites on the concept mastery of high school students by Rini Munawirah, Stepanus Sahala Sitompul, â Hamdani â Hamdani

“…This research investigates the effectiveness of using Google Sites in improving high school students' mastery of physics concepts. The research method used was quasi-experimental with a pretest-posttest control group design. …”
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Improving the performance of machine learning algorithms for detection of individual pests and beneficial insects using feature selection techniques by Rabiu Aminu, Samantha M. Cook, David Ljungberg, Oliver Hensel, Abozar Nasirahmadi

“…The concept of explainable artificial intelligence was adopted by incorporating permutation feature importance ranking and Shapley Additive explanations values to identify the feature set that optimized a model's performance while reducing computational complexity. …”
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A multi-scale local attention mechanism for aspect extraction by Qian Yang, Jinsen Zhu, Hongyu Du, Haoran Xia, Sisi Shao, Chen Yuan, Wengtao Wang, Yimu Ji

“…Global mechanisms are prone to introducing noise, while local mechanisms face challenges in determining the optimal window size. …”
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Efficient Resources Provisioning Based on Load Forecasting in Cloud by Rongdong Hu, Jingfei Jiang, Guangming Liu, Lixin Wang

“…Cloud providers should ensure QoS while maximizing resources utilization. One optimal strategy is to timely allocate resources in a fine-grained mode according to application’s actual resources demand. …”
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A privacy-enhanced framework for collaborative Big Data analysis in healthcare using adaptive federated learning aggregation by Rahul Haripriya, Nilay Khare, Manish Pandey, Sreemoyee Biswas

“…Comparative analysis with baseline FL models, including FedAvg and FedSGD, shows that the adaptive aggregation method achieves comparable accuracy (up to 96.3%) while significantly reducing execution time by approximately 20% and maintaining a competitive F1-score. …”
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Dual-Mode Data Collection for Periodic and Urgent Data Transmission in Energy Harvesting Wireless Sensor Networks by Ikjune Yoon

“…Urgent messages are transmitted via BLE using multi-hop routing with redundant paths to ensure reliability, while periodic environmental data is transmitted over LoRaWAN in a single hop to optimize energy efficiency. …”
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Association of zinc deficiency and clinical symptoms, inflammatory markers, severity of COVID-19 in hospitalized children by Vita Perestiuk, Tetyana Kosovska, Liubov Volianska, Oksana Boyarchuk

“…Serum zinc concentrations were measured using a colorimetric method. Based on zinc levels, the children were divided into two groups: the first group had concentrations below 10.7 μmol/L, indicating zinc deficiency, while the second group had levels above 10.7 μmol/L, which was considered within the optimal range.ResultsIn total, 140 hospitalized patients with COVID-19 were examined. …”
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Evaluation of Knowledge Management Maturity Level in Iranian Audiovisual Archives Based on the APQC Model by Sepideh Ciruskabiri, Atefeh Sharif, Saeed Rezaei Sharifabadi, Mohammad Hassanzadeh

“…Although a KM program is extremely important for the preservation and optimized utilization of such archives, its systematic implementation in Iran has not yet been comprehensively examined. …”
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Turkish Journalists' Attitudes, Perceived Constraints, and Knowledge about AI in Journalism by Semra Demirdiş

“…Findings indicate that while journalists recognize the benefits of AI, their optimism is balanced by concerns over job loss and threats to professional values. …”
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The stratospheric Goldilocks zone is critical for high-altitude balloon navigation by David Brown, Jared Leidich

“…Therefore, it is crucial to find which altitude bands contain the most diversity to maximize navigability while minimizing system size and complexity. Here, we introduce an intuitive, effective method to quantify diversity in a wind column and apply it to 338 distinct altitude bands, each evaluated using over 250 million wind profiles from 2020 to 2024. …”
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