Developing a framework for tracking antimicrobial resistance gene movement in a persistent environmental reservoir by Amy J. Mathers, Thomas J. X. Li, Qijun He, Sharvari Narendra, Nicole Stoesser, David W. Eyre, A. Sarah Walker, Katie E. Barry, Salvador Castañeda-Barba, Fenix W. Huang, Hardik Parikh, Shireen Kotay, Derrick W. Crook, Christian Reidys

“…We successfully reconstructed the complete bacterial genome and plasmid assemblies of isolates sharing the same bla KPC carbapenemase gene to understand evolution over time in six confined hospital drains over five years. …”
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An Assessment of the Cyto-Genotoxicity Effects of Green-Synthesized Silver Nanoparticles and ATCBRA Insecticide on the Root System of <i>Vicia faba</i> by May A. Al-Saleh, Hanan F. Al-Harbi, L. A. Al-Humaid, Manal A. Awad

“…However, a marked reduction in mitotic activity was observed with both ATCBRA and <i>cardamom</i>–AgNP treatments across both time points, highlighting potential cytotoxic and genotoxic effects.…”
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Effect of Autoclave Sterilization on the Number of Uses and Resistance to Cyclic Fatigue of WaveOne Gold and Four Replica-Like Endodontic Instruments by Gustavo Ragozzini, Amjad Abu Hasna, Fernando Antonio Siano dos Reis, Felipe Bernardo de Moura, Tiago Moreira Bastos Campos, Carlos Eduardo Silveira Bueno, Cláudio Antonio Talge Carvalho, Alexandre Sigrist de Martin

“…The instruments were driven by the motor until separation, visually verified, and the time measured in seconds. Data were analyzed by Chi-square, one-way ANOVA, and Tukey analysis, considering a significance level of 5%. …”
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Human–Robot Interactions: A Pilot Study of Psychoaffective and Cognitive Factors to Boost the Acceptance and Usability of Assistive Wearable Devices by Margherita Bertuccelli, Stefano Tortora, Edoardo Trombin, Liliana Negri, Patrizia Bisiacchi, Emanuele Menegatti, Alessandra Del Felice

“…It also suggests pragmatic measures such as familiarization time to reduce anxiety and end-user selection based on cognitive profiles. …”
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An Effective Sol-Gel-Functionalized Polyurethane Foams Solid Platform Packed Minicolumns for Complete Extraction of Chromium (VI) from Water: Kinetic, Sorption Isotherms, Thermodyn... by Effat A. Bahaidarah

“…The impact of the analytical parameters (solution pH, natural mineral acids, shaking time, temperature, and chromium (VI) concentrations) was critically studied. …”
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Modelamiento del proceso de carbonatación del hormigón (UR-CORE), con datos de conversión fraccional obtenidos a través de experimentos de difracción de neutrones monitoreados in-s... by Marta Castellote, Carmen Andrade

“…The variation of the intensity of chosen reflections for each phase along the experiment supplied data, in real time, for fractional conversión of different phases. …”
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ThermalGS: Dynamic 3D Thermal Reconstruction with Gaussian Splatting by Yuxiang Liu, Xi Chen, Shen Yan, Zeyu Cui, Huaxin Xiao, Yu Liu, Maojun Zhang

“…Experimental results demonstrate that the proposed method achieves state-of-the-art performance on the TSDN dataset, with an average absolute temperature error of 1 °C and the ability to predict surface temperature variations over time.…”
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A new regional reference evapotranspiration model based on quantile approximation of meteorological variables by Guomin Huang, Jianhua Dong, Lifeng Wu, Jingwei Luo, Rangjian Qiu, Yaokui Cui, Yicheng Wang

“…Specifically, the RMSE decreased by 6.4–7.1 %, the Normalized RMSE (NRMSE) decreased by 5.5–7.3 %, computation time was reduced by 18.4–21.8 times, and spatial memory usage was reduced by 147–211 %. …”
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Study on the Triggered Discharge Characteristics of Sphere Gaps for Protecting Transformer Neutral Point by Hongyan Nie, Pengfei Wang, Qingguo Chen, Zhen An, Zhixun Li

“…Its maximum working voltage range 108.5kV were obtained when the main gap distance was 94mm, at this time the upper and lower limits of the working voltage were 196.5kV and 88.5kV. …”
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Development of a Mobile Application Platform for Self-Management of Obesity Using Artificial Intelligence Techniques by Sylvester M. Sefa-Yeboah, Kwabena Osei Annor, Valencia J. Koomson, Firibu K. Saalia, Matilda Steiner-Asiedu, Godfrey A. Mills

“…Moreover, the system is able to adequately track the progress of the user’s weight loss over time, daily nutritional needs, daily calorie intake, and predictions of meals that must be taken to avoid compromising their health. …”
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Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder by Shagufta Almas, Fazli Wahid, Sikandar Ali, Ahmed Alkhyyat, Kamran Ullah, Jawad Khan, Youngmoon Lee

“…Unlike traditional CNN approaches, our method offers improved reliability by reducing time complexity, minimizing errors, and enhancing noise reduction. …”
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Empowering medical students with AI writing co-pilots: design and validation of AI self-assessment toolkit by Laleh Khojasteh, Reza Kafipour, Farhad Pakdel, Jayakaran Mukundan

“…The robust reliability testing demonstrated the consistency and stability of the academic writing self-assessment toolkit in measuring students' writing skills over time. Conclusion The comprehensive evaluation process has established the academic writing self-assessment toolkit as a robust and credible instrument for supporting students' writing improvement. …”
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Glucocorticoid receptor (NR3C1) genetic polymorphisms and the outcomes of sudden sensorineural hearing loss by Chen-Yu Chien, Shu-Yu Tai, Kuan-Hui Li, Hua-Ling Yang, Ling-Feng Wang, Kuen-Yao Ho, Ning-Chia Chang

“…The outcomes of SSNHL have been investigated for related factors, including age, initial hearing loss severity and pattern, vertigo, genetic variations, and the time between onset and treatment. The objective of the present study was to analyze the association of genetic polymorphisms of NR3C1 with the outcomes of SSNHL. …”
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A novel adaptive droop-based SoC balancing control strategy for distributed energy storage system in DC microgrid by Liangliang Guo, Xinrui Liu, Xinyu Li, Rui Wang, Hanwen Ren, Zhiliang Wang, Qiuye Sun

“…In the primary control layer, a novel adaptive droop SoC balancing controller (ADSB) is designed to realize the adaptive change of droop coefficient by establishing the real-time relationship between SoC value and droop coefficient, so as to promote the SoC balance among distributed energy storage units (DESUs). …”
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A novel method for power transformer fault diagnosis considering imbalanced data samples by Jun Chen, Yong Wang, Lingming Kong, Yilong Chen, Mianzhi Chen, Qian Cai, Gehao Sheng

“…Hyperparameter tuning is achieved through the Bayesian optimization algorithm to identify the model parameter set that maximizes test set accuracy.ResultsAnalysis of the transformer fault case library reveals that the model proposed in this paper reduces diagnostic time by nearly half compared to traditional machine learning diagnosis models. …”
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A comparative analysis of toxicity and treatment outcomes of adaptive radiotherapy and intensity-modulated radiotherapy in cervical cancer by Xiaohan Liu, Wei Tian, Anli Dai, Hui Li, Mei Zhu, Mengsi Zeng, Ronghua Feng, Zhenyu Zhang, Xiaosong Jiang, Yu Wen, Tao Wu, Zemin Xiao

“…With a median follow-up time of 27 months, the ART group experienced a higher mortality (10/56) than the IMRT group (6/59). …”
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Establishment and Evaluation of Atmospheric Water Vapor Inversion Model Without Meteorological Parameters Based on Machine Learning by Ning Liu, Yu Shen, Shuangcheng Zhang, Xuejian Zhu

“…For this reason, based on the data of 17 ground-based GNSS stations and water vapor reanalysis products over 2 years in the Hong Kong region, a new model for water vapor inversion without the Tm parameter is established by deep learning in this paper, the research results showed that, compared with the PWV information calculated by the traditional model using Tm parameter, the accuracy of the PWV retrieved by the new model proposed in this paper is higher, and its accuracy index parameters BIAS, MAE, and RMSE are improved by 38% on average. At the same time, the PWV was inverted by radiosonde data in the study area as a reference to verify the water vapor inversion results of the new model, and it was found that the BIAS of the new model is only 0.8 mm, which has high accuracy. …”
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Prediction of induction motor faults using machine learning by Ademola Abdulkareem, Tochukwu Anyim, Olawale Popoola, John Abubakar, Agbetuyi Ayoade

“…Predictive maintenance, utilizing advanced technologies like data analytics, machine learning, and IoT devices, offers real-time equipment data monitoring and analysis. This research study centers on the development of a versatile machine-learning model for predicting faults in induction motors within industrial environments. …”
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Evidence for spinal disinhibition as a pain-generating mechanism in fibromyalgia syndrome by Anne Marshall, Jamie Burgess, Andreas Goebel, Bernhard Frank, Uazman Alam, Andrew Marshall

“…We demonstrate for the first time that people with FMS show evidence of spinal disinhibition, which is most dominant in shorter duration of disease and may represent a putative mechanism of pain generation in FMS. …”
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The perioperative analgesic effects of thoracolumbar interfacial block and erector spinae plane block for open lumbar fusion: a randomized controlled trial by V. H. Phuong, Tran Viet Duc, N. T. Duyen, N. H. Tu

“…RESULTS: the ANIm of group C was the lowest at most of the time points studied during surgery (p < 0.05). Group E consumed the least fentanyl intraoperatively (p < 0.001). …”
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