A Parallel Decoding Algorithm for Short Polar Codes Based on Error Checking and Correcting by Yingxian Zhang, Xiaofei Pan, Kegang Pan, Zhan Ye, Chao Gong

“…We propose a parallel decoding algorithm based on error checking and correcting to improve the performance of the short polar codes. In order to enhance the error-correcting capacity of the decoding algorithm, we first derive the error-checking equations generated on the basis of the frozen nodes, and then we introduce the method to check the errors in the input nodes of the decoder by the solutions of these equations. …”
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A PCR-independent, annealing-free cloning method for the insertion of short DNA fragments by Li Linbo, Yan Jin, Qi Yuan, Xiang Zhenglong, Jiang Na, Yuan Tongkang, Wang Zhenyi, Wang Yuan, Zhan Huaizhe, Liu Shiyi, Zhao Li, Xu Jing, Lei Xiaowei, Liu Yuxuan, Wang Gui, Xie Jiayang, Guo Zhenming, Cai Chunhai, Bian Shan

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Performance Analysis of Ultra-Wideband Channel for Short-Range Monopulse Radar at Ka-Band by Naohiko Iwakiri, Natsuki Hashimoto, Takehiko Kobayashi

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Short-Term Health Impact Assessment of Urban PM10 in Bejaia City (Algeria) by Fatima Benaissa, Cara Nichole Maesano, Rezak Alkama, Isabella Annesi-Maesano

“…We used Health Impact Assessment (HIA) to analyze the impact on a given population’s health outcomes in terms of all-causes mortality and respiratory and cardiovascular hospitalizations attributable to short-term exposure to particulate matter less than 10 μm diameter (PM10) in Bejaia city, for which health effects of air pollution have never been investigated. …”
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Short-Term Outcomes of Totally Extraperitoneal and Extended Totally Extraperitoneal Repair of Ventral Hernia by Santosh D. Thorat, Rajeev P. Bilaskar

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A novel prediction model of grounding resistance based on long short-term memory by Xinghai Pu, Jing Zhang, Fei Wang, Shuai Xue

“…This study aims to investigate the use of Long Short-Term Memory (LSTM) models for predicting temporal variations in grounding resistance using time series data. …”
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Effect of frailty on the short-term functional outcome of elderly patients with traumatic brain injury by Yujing Gu, Huiqin Cui, Yang Gu, Xiaojiang Liu

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A Short Note on the Susceptibility in the Paramagnetic State for Disordered Itinerant-Electron Metamagnetic Materials by M. A. Grado-Caffaro, M. Grado-Caffaro

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Exoscope-assisted spine surgery: Current applications and future directions–A short review by Tomas Ferreira, Sakshi Roy, Joecelyn Kirani Tan, Wireko Andrew Awuah, Vallabh Shet, Favour Tope Adebusoye, Adrenito Nicolas, Toufik Abdul-Rahman

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Static and Dynamic Tensile Mechanical Behavior of Polyvinyl Chloride Elastomers with Different Shore Hardness by Jingfa Lei, Yan Xuan, Tao Liu, Feiya Duan, Zhan Wei, Chen Lu

“…The stress-strain curves of PVC materials with three types of Shore hardness (57A, 52A, and 47A) under the strain rates of 0.1 s−1 and 400 ∼ 1800 s−1 are obtained. …”
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Experimental and Theoretical Research on the Compression Performance of CFRP Sheet Confined GFRP Short Pipe by Feng Li, Qilin Zhao, Li Chen, Guojian Shao

“…In this paper, the experimental and theoretical research on the CFRP sheet confined GFRP short pole was extended to the CFRP sheet confined GFRP short pipe, namely, a hollow section pole. …”
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Quantitative valve motion assessment in adolescents using point-of-care ultrasound: short communication by Antonio Riera, Lei Chen, Donald S. Wright, Julie I. Leviter

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Short-term outcomes of open versus laparoscopic surgery in patients with metachronous colorectal cancer by Jiyun Li, Ruoxi Tian, Hengchang Liu, Haipeng Chen, Zhaoxu Zheng

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Classification of Emerging Scoliosis in Congenital Scoliosis After Hemivertebra Resection and Short Segmental Fusion by Chenkai Li, Xiaohan Ye, Bingtai Han, You Du, Yiwei Zhao, Dihan Sun, Shengru Wang, Jianguo Zhang

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Short-Term Load Forecasting in Power Systems Based on the Prophet–BO–XGBoost Model by Shuang Zeng, Chang Liu, Heng Zhang, Baoqun Zhang, Yutong Zhao

Subjects: “…short-term load forecasting…”
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Affective valence predictors from real-world based short sprint interval training by Stefano Benítez-Flores, Flávio A. de S. Castro, Eduardo Caldas Costa, Daniel Boullosa, Todd A. Astorino

“…Nevertheless, the physiological and psychological predictors of affective valence during supramaximal intensities including short sprint interval training (sSIT) have not yet been elucidated. …”
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Exploring the Factors Associated with Car Use for Short Trips: Evidence from Kunming, China by Mingwei He, Yi Fei, Min He

“…The purpose of this study is to explore the factors associated with car use for short trips. Using the data collected from a travel survey conducted with car users in Kunming, the structural equation model is employed to explore the structural relationships between car use for short trips, attitudes toward cars and alternative travel modes, sociodemographics, and the built environment. …”
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Short-term output prediction of wind-photovoltaic power based on time-frequency decomposition by Yangfan Zhang, Xuejiao Fu, Yaohan Wang, Zhengyu Wang, Xiaoxiao Wang

“…This paper proposes a short-term wind and photovoltaic power forecasting framework considering time-frequency decomposition based on bidirectional long short-term memory networks. …”
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Short distances dominate connectivity patterns of coral communities in the North-West Arabian Sea by Michel R. Claereboudt, Gerd Bruss

“…Larval connectivity relies on the ability of coral larvae to disperse into the environment following ocean currents. At short timescales, larval connectivity plays a key role in the resilience of coral reefs, as it determines their capacity to regain structure and function after major disturbances. …”
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Power short-term load forecasting based on big data and optimization neural network by Xin JIN, Long-wei LI, Jia-nan JI, Zhi-qi LI, Yu HU, Yong-bin ZHAO

“…With the reduction of the cost of power data acquisition and the interconnection of large scale power systems,the types of data available in the power network are becoming more and more abundant.In the past,the centralized fore-casting method was limited to the analysis of the massive power data.Therefore,a short-term power load forecasting based on large data and particle swarm optimization BP neural network was proposed,and short-term power load fore-casting model was established.The actual load data of the national grid,using the method of prediction,compared with the actual load data and centralized load forecasting results prove that this method is accurate enough,reduce the load forecasting time with feasibility in practical application.…”
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