Children's Motor Skills Based on Geographical Location by Gusril Gusril, Felia Rahmadhani Saputri, Nurul Ihsan, Ahmad Chaeroni, Mohd Firdaus Abdullah, Mohd Salleh Aman, Abdul Halim Mokhtar, Anton Komaini, Toho Cholik Mutohir

“…The research instrument such as the standing broad jump, ball passing to the wall, 4-second dash and basketball throw. …”
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Effects of solar radiation on collagen-based biomaterials by Alina Sionkowska, Marcin Wisniewski, Joanna Skopinska, Diego Mantovani

“…The effect of solar radiation on collagen and collagen/synthetic polymer blends in the form of thin films and solutions has been studied by UV-VIS and FTIR spectroscopies. …”
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Liquid crystal based tunable terahertz metadevices by Lei Wang, Yanyan Wang, Guwei Zong, Wei Hu, Yanqing Lu

“…This review summarizes the research progress in LC based THz metadevices in three different respects: LC planar THz devices, LC integrated metal metasurfaces, and LC integrated dielectric metasurfaces. …”
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IoT-Based Propane and Butane Pressure Measurement by Frabowo Prasetia, Andi Putra B

“…There is a clear necessity for using digital manometers to ensure precise gas methane pressure measurement. The sensor receives data then the Arduino processes the data for conversion, the final results will be sent to the cloud using the esp8266 module and then forwarded to the smartphone as a monitoring user to see and also check gas conditions.…”
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Teletactile System Based on Mechanical Properties Estimation by Mauro M. Sette, Hendrik Van Brussel, Jos Vander Sloten

“…Previous works have presented a remote palpation feedback system based on the coupling between a pressure sensor and a general haptic interface. …”
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Agent-based modeling for the tumor microenvironment (TME) by Hasitha N. Weerasinghe, Pamela M. Burrage, Dan V. Nicolau Jr., Kevin Burrage

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Scenario-Based Risk Assessment for Düzce Province by Zeynep Mıhçı, Hüseyin Bayraktar

“…As a result; This study, which was carried out in the central district of Düzce province, will ensure that the necessary precautions are taken beforehand in case of a possible earthquake, and that the loss of life will be reduced to a minimum by acting more planned and faster at that time. …”
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Novel robust content-based watermarking for image by YANG Shi-yong1, WU Xiao-li2, YUE An-jun2, GE Jian-hua2

“…The logo could be detected and reconstructed by a specifically Kalman filter without the original data from the watermarked image, and would provide indication of the copyright existence. …”
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Information tracing model based on PageRank by Qian LI, Jia-wei LAI, Yun-peng XIAO, Bin WU

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Link quality prediction based on random forest by Linlan LIU, Shengrong GAO, Jian SHU

“…Link quality prediction is vital to the upper layer protocol design of wireless sensor networks.Selecting high quality links with the help of link quality prediction mechanisms can improve data transmission reliability and network communication efficiency.The Gaussian mixture model algorithm based on unsupervised clustering was employed to divide the link quality level.Zero-phase component analysis (ZCA) whitening was applied to remove the correlation between samples.The mean and variance of signal to noise ratio,link quality indicator,and received signal strength indicator were taken as the estimation parameters of link quality,and a link quality estimation model was constructed by using a random forest classification algorithm.The random forest regression algorithm was used to build a link quality prediction model,which predicted the link quality level at the next moment.In different scenarios,comparing with exponentially weighted moving average,triangle metric,support vector regression and linear regression prediction models,the proposed prediction model has higher prediction accuracy.…”
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Research on intrusion detection based on an improved GHSOM by YANG Ya-hui, JIANG Dian-bo, SHEN Qing-ni, XIA Min

“…A novel technique based on an improved growing hierarchical self-organizing maps（GHSOM） neural network for intrusion detection was presented.The improved GHSOM could deal with a metric incorporating both numerical and symbolic data,and then improved efficiency of intrusion detection.The validities and feasibilities of the improved GHSOM were confirmed through experiments on KDD Cup 99 datasets and simulated experiment datasets.The experi-ment results showes that the detection rate has been increased by employing the improved GHSOM.…”
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Enhanced method based on virtual registers rotation by Yan PAN, Wei LIN

Subjects: “…VM-based code protection…”
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Bases fisiológicas de la desfibrilación ventricular by Amanda Claudia Barco Lima, Belkys Caridad Pedroso Araujo, Diana Laura García Pérez, Víctor René Navarro Machado, Milagros León Regal

“…Se concluyó que las bases fisiológicas integran a las funciones celulares propias del corazón, las modificaciones físico-moleculares celulares que condicionan la arritmia o se generan por la hipoxia, a los cambios que sobre el tejido cardiaco produce el paso de electricidad y a las características de la onda de choque eléctrica del desfibrilador. …”
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Group trust model based on subjective logic by WANG Yong1, DAI Gui-ping2, JIANG Zheng-tao3, HOU Ya-rong1

“…Today’s dynamic trust model only research one to one trust relation and there are no researches about one to many,many to one,many to many trust relation.Based on subjective logic,four basic group constraint patterns and their nesting to compose a group were proposed at the point of view of trust’s subjectivity and supports group trust relation.A group dynamic trust model based on these four basic constraint patterns was proposed,and direct trust degree and recommendation trust degree formulae of basic constraint patterns and their nesting were brought up.The model has good applicability and practicability through model’s expressive power analysis and model’s validity analysis.…”
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Outcomes of OCT imaging-based reoperations in strabismus by Savleen Kaur, Jaspreet Sukhija, Srishti Raj, Shweta Chaurasia, Shubhi Singh M. Optom

“…Abstract Purpose Reoperations in strabismus are reportedly needed in 20–40% of cases undergoing surgery. The present study investigated the outcomes of reoperations based on preoperative imaging of extraocular muscle insertions, and whether the Anterior Segment Optical Coherence Tomography (ASOCT) was of value. …”
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IMPORTANCE OF BUSINESS SOLUTIONS BASED ON BLOCKCHAIN TECHNOLOGY by Marta Wiśniewska

“…The paper discusses the importance of blockchain technology and practical possibilities of its application. Based on industry reports, statistics on investments of enterprises in blockchain technology and attitudes of their senior executives towards this technology, as well as the validity of its implementation, have been presented. …”
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DAMAGE IDENTIFICATION METHOD BASED KRIGING MODEL by MA JingJing, YIN Hong, PENG ZhenRui, DONG KangLi

“…To improve damage identification efficiency,a damage identification method based on Kriging model was proposed. Sample points were chosen based on Latin hypercube sampling,and Kriging model was built using acceleration frequency response functions corresponding to the damage parameters;then,Kriging model with good precision was used to replace the finite element model to participate in the optimization process. …”
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Review of image classification based on deep learning by Fu SU, Qin LV, Renze LUO

“…In recent years,deep learning performed superior in the field of computer vision to traditional machine learning technology.Indeed,image classification issue drew great attention as a prominent research topic.For traditional image classification method,huge volume of image data was of difficulty to process and the requirements for the operation accuracy and speed of image classification could not be met.However,deep learning-based image classification method broke through the bottleneck and became the mainstream method to finish these classification tasks.The research significance and current development status of image classification was introduced in detail.Also,besides the structure,advantages and limitations of the convolutional neural networks,the most important deep learning methods,such as auto-encoders,deep belief networks and deep Boltzmann machines image classification were concretely analyzed.Furthermore,the differences and performance on common datasets of these methods were compared and analyzed.In the end,the shortcomings of deep learning methods in the field of image classification and the possible future research directions were discussed.…”
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The genetics and hormonal basis of human gender identity by Rafael Loch Batista, Luciana Mattos Barros Oliveira

“…For this reason, the extent to which it is determined by nature (biological) or nurture (social) is still debatable. The biological basis of gender identity cannot be modeled in animals and is best studied in people who identify with a gender that is different from the sex of their genitals such as transgender people and people with disorders/differences of sex development. …”
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Optimal Estimators for Threshold-Based Quality Measures by Aaron Abrams, Sandy Ganzell, Henry Landau, Zeph Landau, James Pommersheim, Eric Zaslow

“…We consider a problem in parametric estimation: given n samples from an unknown distribution, we want to estimate which distribution, from a given one-parameter family, produced the data. Following Schulman and Vazirani (2005), we evaluate an estimator in terms of the chance of being within a specified tolerance of the correct answer, in the worst case. …”
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