Fast electrons produced by lower hybrid wave and effects on plasma–wall interactions by Hailong Lu, Nong Xiang, Zehua Qian, Hua Yang, Miaohui Li, Manni Jia, Gen Li, Zechen Wang, Changhao Deng, Jinjin Lu, Jiamin Long

“…The velocity distribution function in velocity space is found to significantly depend on plasma parameters near the antenna, such as q _95 , electron temperature, and input power. …”
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Evaluating Prospective Energy Services Demand for Residential Solar Photovoltaic (RSPV) Generated Electricity in Lagos State, Nigeria by Olalekan Jesuleye, Andrew Oriola, Adeyemi Adepoju

“…The results show that the energy intensity for refrigeration services is 1.06 kWh/hh/day, entertainment services is 0.84 kWh/hh/day, computing services is 0.97 kWh/hh/day, space cooling services is 7.59 kWh/hh/day, ventilation services is 9.05 kWh/hh/day, lighting services is kWh/hh/day, cooking services 2.77 kWh/hh/day, process heating services is 6.43 kWh/hh/day and water pumping is 1.89 kWh/hh/day. …”
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Klebsiella pneumoniae employs a type VI secretion system to overcome microbiota-mediated colonization resistance by Andrew S. Bray, Christopher A. Broberg, Andrew W. Hudson, Weisheng Wu, Ravinder K. Nagpal, Maidul Islam, Juan D. Valencia-Bacca, Fawaz Shahid, Giovanna E. Hernandez, Noah A. Nutter, Kimberly A. Walker, Emma F. Bennett, Taylor M. Young, Andrew J. Barnes, David A. Ornelles, Virginia L. Miller, M. Ammar Zafar

“…Abstract Microbial species must compete for space and nutrients to persist in the gastrointestinal (GI) tract, and our understanding of the complex pathobiont-microbiota interactions is far from complete. …”
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Evaluation Method of the Gas Hydrate and Free Gas System and Its Application in the Shenhu Area, South China Sea by Pibo Su, Tingwei Li, Shurong Liang, Jinqiang Liang, Xiaoxue Wang, Xiaoming Wan, Feifei Wang, Fang Liu

“…Using prestack and poststack inversion to get the ratio of P-wave impedance and P-wave-to-S-wave velocities, we determine the three-dimensional space distribution of gas hydrate and free gas, predict their effective porosity and saturation, and eventually achieve the meticulous depiction of gas hydrate and free gas in the body, which is necessary in subsequent estimation of gas hydrate and free gas resources. …”
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Experimental investigation of thermal characteristics of a 12S1P Li-ion NMC-21700 battery module under different environments for EV applications by Jay Patel, Rajesh Patel, Rajat Saxena, Abhishek Nair

“…The maximum temperature in any battery module is observed at the central cell due to the lesser space for heat dissipation. The results underscore the need for specialized cooling techniques for enhanced battery life, safety, and performance of high-energy Li-ion batteries in EV applications. …”
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A wide-spectrum mid-infrared electro-optic intensity modulator employing a two-point coupled lithium niobate racetrack resonator by Hyeon Hwang, Kiyoung Ko, Mohamad Reza Nurrahman, Kiwon Moon, Jung Jin Ju, Sang-Wook Han, Hojoong Jung, Min-Kyo Seo, Hansuek Lee

“…Optical intensity modulators (OIMs) are essential for mid-infrared (mid-IR) photonics, enabling applications such as bond-selective molecular sensing, and free-space communications via atmospheric windows. Integrated photonics offers a compact and cost-effective solution, yet on-chip mid-IR OIMs significantly underperform compared to their near-IR counterparts. …”
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Antidepressant Treatment Response Prediction With Early Assessment of Functional Near-Infrared Spectroscopy and Micro-RNA by Lok Hua Lee, Cyrus Su Hui Ho, Yee Ling Chan, Gabrielle Wann Nii Tay, Cheng-Kai Lu, Tong Boon Tang

“…The first few components that sum up to 99% of explained variance are discarded to minimize inter-subject variability while the remaining projection vectors are applied on all response groups (24 non-responders, 15 partial-responders, 13 responders) to obtain their relative projections in feature space. The entire algorithm achieved a better performance through the radial basis function (RBF) support vector machine (SVM), with 82.70% accuracy, 78.44% sensitivity, 86.15% precision, and 91.02% specificity, respectively, when compared with conventional machine learning approaches that combine clinical, sociodemographic and genetic information as the predictor. …”
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SiCnws/CNTs/Cf-C/SiOC composites with multi-scale lossy phases for simultaneous electromagnetic wave absorption and thermal insulation by Bin Ren, Yujun Jia, Hao Chen, Jiaying Ti, Yumeng Deng, Qiang Zhuang, Hejun Li

“…The EMW absorption of the composite is attributed to the multiple loss mechanisms and favorable impedance matching with free space, caused by the multi-conductive phase and SiOC in the composite. …”
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BST1047+1156: A (Failing) Ultradiffuse Tidal Dwarf in the Leo I Group by J. Christopher Mihos, Patrick R. Durrell, Aaron E. Watkins, Stacy S. McGaugh, John Feldmeier

“…We use deep Hubble Space Telescope imaging to study the resolved stellar populations in BST1047+1156, a gas-rich, ultradiffuse dwarf galaxy found in the intragroup environment of the Leo I galaxy group. …”
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Soft computing approaches of direct torque control for DFIM Motor's by Zakariae Sakhri, El-Houssine Bekkour, Badre Bossoufi, Nicu Bizon, Mishari Metab Almalki, Thamer A.H. Alghamdi, Mohammed Alenezi

“…This article provides a critical analysis of the following cutting-edge methods: DTC with Space Vector Modulation (DTC-SVM), DTC based on Fuzzy Logic (DTC-FL), DTC using Artificial Neural Networks (DTC-ANN), DTC optimized by Genetic Algorithms (DTC-GA), DTC with Ant Colony Optimization (DTC-ACO), DTC with rooted tree optimization (DTC-RTO), Sliding Mode Control (DTC-SMC), and Predictive DTC (P-DTC). …”
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Deep learning based decision-making and outcome prediction for adolescent idiopathic scoliosis patients with posterior surgery by Kai Chen, Xiao Zhai, Ziqiang Chen, Haojue Wang, Mingyuan Yang, Changwei Yang, Yushu Bai, Ming Li

“…Variables such as age, gender, preoperative and final follow-up horizontal and vertical coordinate vectors, and screw positioning data were preprocessed by parameterizing image data and transforming various data types into a unified, continuous high-dimensional feature space. Four deep learning models were designed, including Multi-Layer Perceptron model, Encoder-Decoder model, CNN-LSTM Attention model and Deep FM model. …”
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Orthodontic and orthopedic rehabilitation of adult patients with congenital cleft lip and palate (clinical case) by L.B. Halych, V.D. Kuroyedova, N.V. Tsvetkova, L.V. Halych

“…After expanding, lengthening the upper dentition, creating space for missing teeth, reducing the size of the lower dentition by removing 34, 44, the patient continued treatment at the orthopedic department. …”
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Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data by Ibrahim Olalekan Alabi, Ibrahim Olalekan Alabi, Hans-Peter Marshall, Jodi Mead, Ernesto Trujillo

“…Current terrestrial snow depth mapping from space faces challenges in spatial coverage, revisit frequency, and cost. …”
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Aging towards walkable futures: insights from a multidisciplinary workshop held in Barcelona, Spain by Enric Vall-Garcia, Laura Delgado-Ortiz, Lisa Alcock, Laura Coll-Planas, José Augusto García-Navarro, Susanne Iwarsson, Josep Maria Jansà, Carl-Philipp Jansen, Sarah Koch, Simon Schwartz, Merja Rantakokko, Adelaida Sarukhan, Willeke van Staalduinen, Lynn Rochester, Judith Garcia-Aymerich

“…Conclusions This two-day workshop provided a space for professionals and public to comprehensively discuss walking at older ages. …”
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2,4-Dichlorophenoxyacetic Acid in the Gas and Crystal Phases and Its Intercalation in Montmorillonite—An Experimental and Theoretical Study by Claro Ignacio Sainz-Díaz, Nelly L. Jorge, Jorge M. Romero, André Grand, Alfonso Hernández-Laguna

“…In addition, the intercalation of 2,4-D into the confined interlayer space of montmorillonite was also calculated, and it was found that the adsorption is energetically favourable. …”
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Accelerating the design and discovery of tribocorrosion-resistant metals by interfacing multiphysics modeling with machine learning and genetic algorithms by Yucong Gu, Kaiwen Wang, Zhengyu Zhang, Yi Yao, Ziming Xin, Wenjun Cai, Lin Li

“…Leveraging an experimentally validated multiphysics finite element analysis (FEA) model, we have used six key material parameters to model the tribocorrosion performance of Al alloys over a large property space. The ML model employs an ensemble method of artificial neural networks (ANNs) to predict the tribocorroded surface profile and total material loss based on FEA simulation results, significantly reducing computational time compared to conventional FEA methods. …”
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Using artificial intelligence methods for the optimal synthesis of reversible networks by Taras Kyryliuk, Mykhailo Palahuta, Vitaly Deibuk

“…An improved structure for storing and using pheromones was developed to enable multi-criteria navigation in the solution space.…”
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Effect of p-InGaN Cap Layer on Low-Resistance Contact to p-GaN: Carrier Transport Mechanism and Barrier Height Characteristics by Mohit Kumar, Laurent Xu, Timothée Labau, Jérôme Biscarrat, Simona Torrengo, Matthew Charles, Christophe Lecouvey, Aurélien Olivier, Joelle Zgheib, René Escoffier, Julien Buckley

“…A transition in current conduction mechanisms was also observed, shifting from recombination tunneling to space-charge-limited conduction across different voltage ranges. …”
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Misdiagnosis and analysis of clinical characteristics in patients with giant cystic pheochromocytoma/paraganglioma by Yue Zhang, Bo Zhou

“…Additionally, imaging findings can be challenging to identify due to the presence of large space-occupying adjacent organs. As a result, these giant cystic lesions of unknown origin are often misdiagnosed. …”
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“Awakened Muse” by Ihor Kalynets in the interartistic dialogue with Oleksa Novakivskyi by Hryhorii Savchuk

“…Kalynets’s surprisingly harmonious ekphrasis affirm positivity, hope and faith into the future, in which there will be no space for suffering, and suggest that the child, as well as Ukraine, has their whole life ahead of them. …”
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