Morphology and Developmental Rate of the Blow Fly, Hemipyrellia ligurriens (Diptera: Calliphoridae): Forensic Entomology Applications by Nophawan Bunchu, Chinnapat Thaipakdee, Apichat Vitta, Sangob Sanit, Kom Sukontason, Kabkaew L. Sukontason

“…Moreover, development time in each stage was given. The developmental time of H. ligurriens to complete metamorphosis; from egg, larva, pupa to adult, took 270.71 h for 1 cycle of development. …”
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Impact Analysis of Different Trajectory Shapes on Optimization Based on Original Natural Algorithm by Yijing Chen, Ying Nan, Zhihan Li

“…This paper uses the improved original natural algorithm for the first time and applies it to the field of aerospace reentry and entry and adds more constraints to this algorithm for computation. …”
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Reservoir Flood Forecasting Based on Long-Short-Term Memory Neural Network by LUO Zhaolin, ZHANG Bo, MENG Qingkui, CHEN Wufen

“…Accurate flood forecasting is one of the main means to well perform flood control and drainage,and the long-short-term memory neural network (LSTM) has a strong ability to fit time series relationships,which thus is very suitable for simulating and forecasting the complex time series process of basin runoff generation and confluence.To explore the applicability of LSTM in the field of reservoir flood forecasting,this paper established an LSTM model according to different forecast periods in the Baipenzhu Basin and compared it with Xinanjiang model.The LSTM model uses the rainfall and water level data in the basin as input and adopts the water levels of the reservoir at different forecast periods as output.The calibration period is five years,and the verification period is one year.The results show that LSTM has high forecast accuracy when the forecast period is 1~6 h,and the forecast accuracy is the highest when the forecast period is 1h,reaching 0.991.As the forecast period increases,the accuracy of the LSTM model gradually decreases,but its forecast accuracy is higher than that of Xinanjiang model.In addition,reflecting the complexity of the neural network,the prediction period and the number of neurons in the hidden layer will affect not only the forecast accuracy but also the training speed of the model.It is proven that the LSTM model has high forecast accuracy and is of guiding significance to reservoir flood forecasting.…”
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Leakage Immune Modified Pass Transistor Based 8T SRAM Cell in Subthreshold Region by Priya Gupta, Anu Gupta, Abhijit Asati

“…The proposed 8T SRAM cell shows improvements in terms of 7.735x narrower spread in average standby power, 2.61x less in average TWA (write access time), and 1.07x less in average TRA (read access time) at supply voltage varying from 0.3 V to 0.5 V as compared to 6T SRAM equivalent at 45 nm technology node. …”
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Congenital Syphilis Coinfection in a Preterm Infant with Early Onset Sepsis due to Enterobacter cloacae by Sakviseth Bin, Sethikar Im

“…The vertical transmission is preventable by an on-time treatment of the infected mother, triggered by a proper antenatal screening at the right time. …”
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Aspiration numérique et mise à distance du corps by Renaud Hétier

“…The virtualization of present time, activity, violence is part of the humanization process as states Pierre Levy. …”
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Broken Wire Detection System for PCCPs Based on Raspberry Pi and Deep Learning by SUN Xuechao, ZHANG Youyuan, ZHU Jinxiang, WANG Ping, YIN Da

“…Although electromagnetic detection technology has a high detection accuracy rate and wide application, it still faces the problems of complicated data processing and high labor time, which limits its large-scale application in actual engineering. …”
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Limited-Stop High-Frequency Service Design: Reducing In-Vehicle Congestion by Andrés Felipe García Albarracín, Daniel Jaramillo-Ramírez

“…The design of LS services has been mainly focused on increasing fleet efficiency and reducing the passengers’ travel time. In this work, we change the focus of LS service design towards the user’s comfort. …”
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Multi-response optimization of EDM drilling parameters of the Nitinol SMA by Amiya Kumar Sahoo, Praneet Pandey, Dhananjay R. Mishra

“…Current (I), voltage (V), charging-time (TON), discharging-time (TOFF), and dielectric pressure (DP) were taken as input control parameters. …”
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Motorcycle Ban and Traffic Safety: Evidence from a Quasi-Experiment at Zhejiang, China by Jingjing Chen, Qian Wang, Jie Huang

“…Motorcycle bans have been implemented in many cities across China for long time, one of the main reasons for which is the high death rate of the traffic accidents related to motorcycles’ fast speed and weak safety. …”
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Tourism and economic growth in Portugal: an empirical investigation of causal links by João Paulo Cerdeira Bento

“…This study uses quarterly time series for the period from 1995 to 2015 to assess the temporal causal link between tourism and economic growth based on the hypothesis according to which tourism development precedes economic growth. …”
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Fresh and Hardened Properties of Self-Leveling Mortars with Porcelain and Red Ceramic Wastes by Valdir M. Pereira, Gladis Camarini

“…Mortars were studied in the fresh state (fluidity, segregation and/or bleeding, outflow rate, outflow time, and kinetics of temperature) and in the hardened state (compressive strength, flexural tensile strength, capillary water absorption, water penetration height, and air permeability). …”
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Study of charmonium production via the decay to $$p\bar{p}$$ p p ¯ at $$\sqrt{s} = 13\,\textrm{TeV}$$ s = 13 TeV by LHCb Collaboration

“…The differential cross-section is measured in bins of $$p_\mathrm{{T}}$$ p T and, for the first time, of y. Upper limits, at 90% and 95% confidence levels, on the $$\eta _c(2S)$$ η c ( 2 S ) and $$h_c(1P)$$ h c ( 1 P ) prompt production cross-sections are determined for the first time.…”
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An Ethical Debate in the Philosophy of Information: Is It Possible to Combine or Reconcile Multiple Ethical Theories in a Common Perspective in Artificial Intelligence? by Nesibe Kantar

“…At the same time, this multicultural and global world (infosphere) is a source of ethical challenges. …”
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Introduksi Teknologi Pengering Tenaga Surya Untuk Meningkatkan Produktivitas Dan Pendapatan Usaha Kerupuk Ubi Di Kecamatan Kamang Magek Kabupaten Agam by Adli Havendri, Dendi Adi Saputra, Eka Satria, Syafi’i Syafi’i

“…The result shows the drying time is 2 times faster than traditional drying process. …”
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Impact of the High-Energy Dynamic Compaction by Multiple Compactors on the Surrounding Environment by Chunlin Jiang, Yanhui Ge, Baoqun Wang, Luchen Zhang, Youbo Liu

“…Under the condition of multiple compactors working with a time interval of less than 10 s, the impact of the superimposed dynamic compaction energy due to the interaction of multiple compactors had to be considered.…”
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Phishing scams on social media: An evaluation of cyber awareness education on impact and effectiveness by Emma Mouncey, Simona Ciobotaru

“…Those who had completed training reported it as beneficial, regardless of the time since training. However, barriers such as time constraints and perceptions that training is boring or irrelevant were noted. …”
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Regional simulations of equatorial spread F driven with, and an analysis of, WAM-IPE electric fields by Aaron Kirchman, David Hysell, Tzu-Wei Fang

“…These results suggest that WAM-IPE electric fields generally have a shorter and more variable correlation time than those measured by ICON.…”
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ACTIVE-LEARNING METHOD BASED ON ALK MODEL AND SUBSET SIMULATION by LIU ZeQing, CHENG Xin, YANG XuFeng

“…When estimating very small failure probability, the methods based on active learning Kriging (ALK) model usually need too many candidate points and time-consuming calculation. To address this problem, this paper proposes a two-stage surrogate model method, ALK-SS², which combines the ALK model and subset simulation(SS). …”
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Improved DFA algorithm based on multi-dimensional finite automata by ONGYang-yang G, IUQin-rang L, ANGZhen-xi Y, HAOXiang-yu S, INGChi-qiang X, IAOHui-juan J, ENGZhi-bin P

“…Compiling multiple regular expression signatures into a combined DFA can blowup in state and storage space.Explanations from the prospective of information theory and multi-dimensional mathematical model were proposed fo-cusing on the most serious state explosion.Redundancy states were divided into zero-dimensional ones and one-dimensional ones.The former were compressed by dimension,and the later were dynamically built.The space com-plexity of the model came to the theoretical lower bound by the above methods.Then the multi-dimensional finite auto-mata (MFA) was proposed with the model.Experiments show that,the construction time taken by MFA is slightly less than XFA and is 2～3 orders of magnitude lower than DFA,STT redundancy compression algorithms and Hybrid-FA; the memory space of MFA is slightly higher than XFA,but is 1～2 orders of magnitude lower than DFA,STT redundancy compression algorithms,mDFA and Hybrid-FA; in the aspect of matching time,MFA ranks after DFA and Hybrid-FA,but ranks before XFA,and it achieves 1～2 orders of magnitude lower than that of STT redundancy compression algo-rithms and mDFA.…”
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