Peri-Ictal and Ictal Cognitive Dysfunction in Epilepsy by Lavanya Vijayaraghavan, Subbulakshmy Natarajan, Ennapadam Srinivas Krishnamoorthy

“…In-depth investigation of seizure related cognitive dysfunction is of great clinical relevance, as these changes are potentially reversible and treatable, thus reducing the cumulative effect of frequent seizures Greater knowledge of peri-ictal and ictal cognitive dysfunction would improve seizure prediction, localization of seizure focus and assessment of treatment effectiveness, greatly reducing distress and disability. …”
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A Novel Damage Detection Algorithm using Time-Series Analysis-Based Blind Source Separation by A. Sadhu, B. Hazra

“…Time-series analysis is then performed to characterize the mono-component modal responses and successively the resulting time-series models are utilized for one-step ahead prediction of the modal response. With the occurrence of newer measurements containing the signature of damaged system, a variance-based damage index is used to identify the damage instant. …”
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Construction and Verification of the Refined Forecast Model for Storm Surges Based on ADCIRC in Guangzhou by LUO Zhifeng, CHEN Gang, DAO Fuhai

“…Considering the joint influence of upstream water,astronomical tides,and storm surges,this paper constructs a refined forecast model for storm surges in Guangzhou based on ADCIRC.Driven by the Jelesnianski typhoon model,this model takes the upstream water and the forecast of tide levels in the open sea as the upper and lower boundary input and uses the irregularly triangular grids to simulate the topographic change of coastlines.The astronomical tides of six representative tide stations in cities near the Pearl River Estuary are compared with the measured water levels of six tide stations in Guangzhou under the influence of Typhoon Mangkhut and Hato for verification.The results show that the refinement degree of this forecast model can reach the hundred-meter level,and the maximum mean absolute error of astronomical tide fitting is less than 13 cm.The water increasing process,maximum water level value, and occurrence time of storm surges of the two typhoons are well fitted.All of these indicate that the model can basically reflect the astronomical tides and the water increasing process of storm surges along the Pearl River Estuary,which can provide a reference for the warning and high-resolution prediction of storm surges in Guangzhou.…”
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Train Moving Load-Induced Vertical Superimposed Stress at Ballasted Railway Tracks by Heng Wang, Ling-Ling Zeng, Xia Bian, Zhen-Shun Hong

“…It is found that the prediction accuracy of the proposed method is within ±10%, in comparison with field measurements. …”
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Orthodontically Induced External Apical Root Resorption in Class II Malocclusion by Praveen Kumar Reddy Karnati, Priyank Seth, Ahmad Termizi Bin Zamzuri, Payal Tharwani

“…Mostly, it is identified through routine radiographic stage records like orthopantomogram or certain prediction radiographs for root resorption probability assessment like in this case. …”
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Cleanup Sketched Drawings: Deep Learning-Based Model by Amal Ahmed Hasan Mohammed, Jiazhou Chen

“…From experimental results, it was observed that an enhanced FCNN model reported better accuracy, reducing the prediction error by 0.08 percent for simplifying the rough sketch compared to the existing methods.…”
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Cytogenomic Characterization of Giant Ring or Rod Marker Chromosome in Four Cases of Well-Differentiated and Dedifferentiated Liposarcoma by Hongyan Chai, Fang Xu, Autumn DiAdamo, Brittany Grommisch, Huanzhi Mao, Peining Li

“…The levels of amplification for oncogenes OS9, CDK4, HMGA2, NUP107, MDM2, YEATS4, and FRS2 at the core segment or other SCNAs should be characterized to facilitate pathologic correlation and prognostic prediction. Further studies for the initial cellular crisis event affecting chromosome intermingling regions for cell-type specific gene regulation may reveal the underlying mutagenesis mechanism for GR and GRM in WDLPS and DDLPS.…”
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A STUDY ON FORECASTING THE IMPACT OF COVID-19 ON EMERGENCY SERVICE IN A PUBLIC HOSPITAL by Şeyma Çelik Eroğlu, Fatma Gül Altın

“…The aim of this study is to predict the number of monthly emergency service patients for a public hospital. …”
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Safe Distance of Virus Quantitative Analysis and Simulation of the Trajectory of Pathogen-Containing Droplets in the Air Respiratory Airways by Hanwen Alvin Miao

“…Data extracted from previous experiments proceeded by other researchers discussing the visualization of sneeze ejecta and deposition features of inhaled drops were used to obtain parameters to fit the model prediction of this work. Currently, research on similar topics was mostly based on either experiments or theoretical calculations only on one specific clan of pathogen, while the novel contribution of this paper is the combination and comparison of these two distinct methodologies that can be applied to solve a general practical problem aiming to all types of viruses by considering the pathogen-containing droplets as a whole entity.…”
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Development and Validation of Dummies and Human Models Used in Crash Test by Tao Xu, Xiaoming Sheng, Tianyi Zhang, Huan Liu, Xiao Liang, Ao Ding

“…This study finds that the current crash test dummies are generally designed based on European and American, so they have limitations on the damage prediction of other regions. Further research in the crash test dummy needs the participation of various countries in order to develop a crash test dummy that meets the national conditions of each country. …”
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A progressive damage fatigue model for unidirectional laminated composites based on finite element analysis: theory and practice by M. Hack, D. Carrella-Payan, B. Magneville, T. Naito, Y. Urushiyama, W. Yamazaki, T. Yokozeki, W. Van Paepegem

“…The intra-laminar fatigue damage model combines efficient methods with a low number of tests to identify the parameters of the stiffness degradation law, this overall procedure for fatigue life prediction is demonstrated to be cost efficient at industrial level…”
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Analysis of Influencing Factors and Mechanism of Strength of Cement-Modified Silty Sand by Weidong Jin, Zhe Wang, Yongming Ai, Chenyang Liu

“…The unconfined compressive strength of cement-modified silty sand has a good power function relationship with the comprehensive characterization parameters, and the fitting degree between the strength prediction formula and the existing research and test data exceeds 90%, which verifies the effectiveness of the comprehensive characterization parameters.…”
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Applied of Classification Technique in Data Mining For Credit Scoring by Heriyanto Heriyanto, Ika Kurniawati, Fachri Amsury, Muhammad Rizki Fahdia, Irwansyah Saputra, Nanang Ruhyana, Asrul

“…In this study, a comparison of the Naive Bayes, C4.5 and KNN algorithms was carried out which was applied to consumer data that received credit eligibility for good and bad customers. The best prediction results are nave Bayes with an accuracy of 95.95 % and an AUC of 0.974. …”
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Nonlinear Vibration Characteristics of the Involute Spline Coupling in Aeroengine with the Parallel Misalignment by Xiangzhen Xue, Qixin Huo, Jian Liu

“…The model proposed here is found to be closer to the actual working conditions, and the analysis results can provide more accurate external load conditions for the prediction of the fretting damage of the spline coupling in aeroengine.…”
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The New Avalanche-Like Stochastic Model for Parameterization of Seismicity and Its Application to the South Sakhalin Island Seismicity by M. V. Rodkin, I. N. Tikhonov

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The Effects of Breathing Behaviour on Crack Growth of a Vibrating Beam by Wenguang Liu, Mark E. Barkey

“…Therefore, it can be employed to improve the prediction precision of the crack identification and crack growth life of a cracked cantilever beam.…”
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Improved S-bend optical waveguide loss formula verified by experiments by Ary Syahriar

“…The objectives are to formulate the best analytical theory available that can predict the power loss in S-bends whose shape is defined as a function y = f(x), where its first derivative is continuous. …”
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DNA Methylation in Prostate Cancer: Clinical Implications and Potential Applications by Romane Muletier, Céline Bourgne, Laurent Guy, Aurore Dougé

“…Methylation monitoring could also be useful for the prediction of treatment response. However, most studies are retrospective, and prospective studies are needed to validate these data.…”
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Regression Analysis of Initial Geostress Field for Deep-Buried Tunnel of Water Resources Allocation Project in Guangdong Province around the Beibu Gulf by DAI Zhikun, ZHENG Xiao, YOU Siqin

“…Geostress has important influence on the surrounding rock of the deep-buried tunnel during its construction.Accurately identifying the initial geostress of the engineering area can effectively guide the design and construction of the tunnel.In order to study the distribution of initial geostress in the deeply buried tunnel area of water resources allocation project in Guangdong Province around the Beibu Gulf,a three-dimensional geological model was established via the finite difference software FLAC^3D,by reference to the geoengineering conditions and measured data on geostress,with the relevant analysis and calculation conducted under the separate effects of each factor concerning the initial geostress field.And the a multiple regression model between measured and calculated values was established to work out the optimal regression coefficient through multiple regression analysis,thus obtaining the regression equation of geostress.By comparing the regression values and the measured values,it is found that the magnitude and direction of the two values are close to each other,indicating that the initial geostress field established by regression analysis is reasonable and can provide effective basic data for subsequent evaluation of the stability of surrounding rock of the tunnel,support design and long-term safety evaluation and prediction.…”
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Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approach by Shah Mohammad Azam Rishad, Md Ashraful Islam, Md Shahidul Islam

“…As this study also supports engineers and researchers in devising optimized machine learning models for addressing CFRP-bonded joint challenges, the accuracy of stress prediction is improved by applying machine learning techniques to the collected data more refinedly.…”
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