Acoustically Enriched Environment during the Critical Period of Postnatal Development Positively Modulates Gap Detection and Frequency Discrimination Abilities in Adult Rats by Kateryna Pysanenko, Natalia Rybalko, Zbyněk Bureš, Daniel Šuta, Jiří Lindovský, Josef Syka

“…The enriched animals were generally not more sensitive to startling sounds, and also, their PPI of ASR, induced by noise or pure tone pulses, was comparable to the controls. …”
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Development and laboratory validation of an LVDC back-to-back system with residential inverter, PV, and battery-based power generation by Zaid Ali, David Raisz

“…This refinement enables more accurate regulation of the voltage levels, reducing switching losses and boosting overall energy efficiency. …”
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Technical progress of construction and safe operation of underground gas storage under complex geological conditions by Qiqi WANYAN, Yun WANG, Dongxu LI, Hongcheng XU, Chun LI, Kang LI, Jingcui LI, Lifeng LI

“…Predictably, the site resource of gas storage in China will have more deteriorated quality and more complicated types in the future, which will gradually change to the new types of oil reservoirs, low-permeability gas reservoirs, complex connected old salt caverns and water layers. …”
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Collision Avoidance Path Planning for Automated Vehicles Using Prediction Information and Artificial Potential Field by Sumin Ahn, Taeyoung Oh, Jinwoo Yoo

“…To address this issue and improve the efficiency and stability of path planning, this study proposes integrating prediction data into the APF and optimizing the control points of the quintic Bézier curve using sequential quadratic planning. …”
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Urban pandemic governance personal protective equipment allocation strategies: a system dynamics simulation by Zihan Li, Yuhang Wang, Yuanwang Shang, Yi Lu

“…Using the COVID-19 strategies employed in Wuhan as the pivotal case study, this study sought to determine effective strategies to optimize city PPE distribution. System dynamics modeling was employed to explore the influence of PPE allocation strategies on pandemic control measures. …”
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Analysis of Bovine Serum Albumin Ligands from Puerariae flos Using Ultrafiltration Combined with HPLC-MS by Ping Tang, Shihui Si, Liangliang Liu

“…Moreover, the method has more effective with easier operation procedures.…”
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Secure and efficient batch authentication scheme based on dynamic revocation mechanism in space information network by Yinghui ZHANG, Lingyun HU, Yixin LI, Jianting NING, Dong ZHENG

“…A secure and efficient batch authentication scheme based on dynamic revocation mechanism was proposed for the problem of cross-domain authentication of a large number of mobile users in space information networks.Early key negotiation was achieved by predicting the satellite trajectory and updating the session key in real time.Algorithms were designed for a single as well as a large number of mobile terminals to perform signing and verification, which effectively reduce the computational burden of satellites.Cuckoo filters were adopted by the new scheme to achieve dynamic revocation and malicious access control of mobile terminals.Finally, under the Diffie-Hellman assumption, the proposed scheme was proved to be resistant to replay and man-in-the-middle attacks based on a random oracle model and automated validation of internet security protocols and applications.Security goals such as traceability and revocability were achieved by the scheme, thus improving the efficiency of transmission and computation by more than 80% and 20%, respectively, compared with the existing optimal scheme.…”
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DNN-based Sub-6 GHz assisted millimeter wave network power allocation algorithm by Changyin SUN, Liyan LIU, Fan JIANG, Jing JIANG

“…Aimed at the problems of the signaling cost and power consumption in the power control measurement of the millimeter wave system, as well as the complexity caused by iteration operations, a millimeter wave link power allocation prediction algorithm using the Sub-6 GHz frequency band was proposed.Firstly, the mapping between the Sub-6 GHz band channel information and the optimal power allocation of the millimeter wave band was analyzed.Then, a deep neural network (DNN) model was utilized to realize this mapping function.To predict the power allocation of millimeter wave channel with Sub-6 GHz channel as input, the neural network was trained with the weighted mean square error minimization method (WMMSE) as the supervisor in different scenarios.The simulation results show that compared with the WMMSE algorithm in millimeter wave band, the proposed algorithm can obtain more than 97% of its sum-rate performance while taking less than 0.1% of the time.…”
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Current and future state of the management of Hirschsprung disease by Jessica L Mueller, Ryo Hotta

“…Outcomes after pull-through surgery are suboptimal and many patients suffer from ongoing issues of dysmotility and bowel dysfunction, suggesting there is room for optimizing the management of this disease. This review focuses on discussing the recent advances to better understand HSCR and leverage them for more accurate and potentially less invasive diagnosis. …”
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A review of the superbug crisis by Rana H. Raheema

“…Addressing this crisis requires a multifaceted approach, including antimicrobial stewardship, better hygiene practices, more effective infection control, and the development of new treatments. …”
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An Activity-Based Travel Personalization Tool Driven by the Genetic Algorithm by Ali Enes Dingil, Domokos Esztergár-Kiss

“…The necessity for an external control mechanism that optimizes daily urban trips becomes evident when considering numerous factors at play within a complex environment. …”
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Outsourced ciphertext-policy attribute-based encryption with partial policy hidden by Jinxia Yu, Guanghui He, Xixi Yan, Yongli Tang, Rongxia Qin

“…Attribute-based encryption is an efficient and flexible fine-grained access control scheme. However, how to realize the attribute privacy concerns in the access policy and optimize the heavy computing overhead have been not adequately addressed. …”
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Analysis of Current State of SWAT Model Research Based on Bibliometrics by DU Bailin, WU Lei

“…In order to gain insights into the latest advancements,focal areas,and future directions in SWAT model research,this paper conducted a bibliometric analysis of its applications in eco-hydrological modeling by using the Web of Science^TM core database and the VOSviewer visualization software.The findings reveal that from 2000 to 2022,there has been a general increase in publications related to the SWAT model.Research efforts have primarily concentrated on three main areas:firstly,the hydrological simulation applications of the SWAT model to enhance scientific water resource management;secondly,investigations into the mechanisms of hydrological responses to climate and human activities,offering theoretical support for flood disaster prediction and response;lastly,studies on water quality simulation and optimal management strategies,providing theoretical foundations for the prevention and control of agricultural non-point source pollution.The distribution of research teams has shifted from concentrated to more dispersed.Future SWAT research will prominently focus on water resource management,hydrological response processes,and water quality simulation.…”
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Classification of Leafy Diseases of Brassica Rapa (Chinese Cabbage) using Selected Parameters in an Uncontrolled Environment via Image Processing by Jonalyn G. Ebron, Giane Roldan B. Apuada, Dante Lean R. Parra, Jan Peter Fran T. Virtucio

“…This research underscores the importance of machine learning and image-based tools in sustainable agriculture, which enable early disease detection and reduce reliance on chemical control methods. The findings contribute to improved disease management practices and crop productivity, highlighting the integration technology into agricultural systems for more efficient farming.…”
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Modeling Analysis of the Relationship between Adolescent Aerobic Exercise and Obesity Reduction Based on Deep Learning by Peng Mu

“…The simulation results show that, under the same number of experiments, the advantages of this method are more obvious. On the overall level, the average modeling error of this method is about 0.053%, while the average of the traditional method is about 0.186%, indicating that the method can reduce the error control within a reasonable range. …”
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Facial Expression Detector While Driving by Indah Dara Wefa, Riki Mukhaiyar

“…This detector works automatically when the system runs without external control. The system is controlled only via the desktop using the Convolutional Neural Network (CNN) method. …”
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Hyperglycaemia in criticaly ill patients by Tatiana Valer'evna Klypa, Maria Sergeevna Orehova, Ludmila Ivanovna Zabrosaeva

“…It has been shown that adequate control and correction of IT are leading to improvement in critically ill patients state. …”
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South Asia anthropogenic ammonia emission inversion through assimilating IASI observations by J. Xia, Y. Zhou, L. Fang, Y. Qi, D. Li, H. Liao, J. Jin

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Design of a Micro-Plant Factory Using a Validated CFD Model by Xinxin Chen, Tengyuan Hou, Shulin Liu, Yongxiu Guo, Jianping Hu, Gaoming Xu, Guoxin Ma, Wei Liu

“…Additionally, the cultivation racks in case 6 were arranged more compactly and positioned closer to the outlet of the cultivation space. …”
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Improved Sensitivity of a Taste Sensor Composed of Trimellitic Acids for Sweetness by Tatsukichi Watanabe, Sojiro Kumura, Shunsuke Kimura, Kiyoshi Toko

“…This research showed that the potential of a sensor using the membrane with enough trimellitic acid in a sucrose solution remained constant, regardless of TDAB amounts, but the potential in the tasteless, so-called reference solution, depended on TDAB. By optimizing the content of TDAB and trimellitic acid, a sensor response of −100 mV was achieved, which is over 20% more sensitive than a previous sensor. …”
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