Soft Error-Tolerant and Highly Stable Low-Power SRAM for Satellite Applications by Jong-Yeob Oh, Sung-Hun Jo

“…As CMOS technology has advanced, the transistor integration density of static random-access memory (SRAM) cells has increased. This has led to a reduction in the critical charge of sensitive nodes, making the SRAM cells more susceptible to soft errors. …”
Get full text

Development of Tributary Mapping System Using Multiple Unmanned Aerial Vehicles With LiDAR by Jaehwi Seol, Jeonghyeon Pak, Hyoung Il Son

“…A path is generated through random sample consensus by calculating the center point from the segmented area. …”
Get full text

Risk-Control Approach for a Bottleneck Spanning Tree Problem with the Total Network Reliability under Uncertainty by Takashi Hasuike, Hideki Katagiri, Hiroshi Tsuda

“…This paper considers a new risk-control and management approach for a bottleneck spanning tree problem under the situation where edge costs in a given network include randomness and reliability. Particularly, this paper focuses on the case that only mean value and variance of edge costs are calculated without assuming a specific random distribution. …”
Get full text

Triaxial Compressive Failure Characteristics and Constitutive Model Study of Jurassic-Cretaceous Weakly Cemented Sandstone by Jinlong Cai, Wei Zou

“…Based on the rock strength theory and Weibull random distribution assumption of rock element strength, the damage variable correction coefficient was introduced when the residual strength was considered. …”
Get full text

Data-Driven versus Köppen–Geiger Systems of Climate Classification by Vajira Lasantha, Taikan Oki, Daisuke Tokuda

“…We applied three clustering algorithms—k-means, ISODATA, and unsupervised random forest classification—to a dataset comprising 10 climatic variables and elevation; we then compared the obtained results with those from the Köppen–Geiger classification system. …”
Get full text

Deep Learning Landscape Evaluation System Integrating Poetic Emotion and Visual Features by Chuanyuan Li

“…Experimental results demonstrate that the proposed “Emotion-Visual Features” model achieves an accuracy of 88.09% in emotion classification, significantly outperforming traditional methods such as Support Vector Machine (SVM) (64.51%) and Random Forest (RF) (81.47%), representing increases of approximately 36.5% and 8.1%, respectively. …”
Get full text

Behaviour of Clinical, Anthropometric and Laboratory Variables in Patients with Metabolic Syndrome by Madelaine Hernández Tamayo, Pedro Enrique Miguel Soca, Mildre María Marrero Hidalgo, Luz María Pérez López, Idania Peña Pérez, Mayelín Rivas Estévez

“…The sample included 161 patients selected at random in different research stages from a universe including all the patients who attended six different consultations in Urbano Noris municipality, Holguín, from September 2008 to June 2009. …”
Get full text

Comparative study of land capability and land suitability for pepper plants (Piper nigrum L.) on karst and non-karst area in Pacitan Regency by Rahayu, Herawati Aktavia, Herdiyansyah Ganjar, Purwanto, Suyana Jaka, Adinda Friscilia Viska

“…This study is a field survey with purposive random sampling. The sampling points are based on the overlay of soil type, geology, and rainfall maps. …”
Get full text

Identifying Large- and Small-Scale Habitat Characteristics of Monarch Butterfly Migratory Roost Sites with Citizen Science Observations by Andrew K. Davis, Nathan P. Nibbelink, Elizabeth Howard

“…No one landcover type was directly associated with roost sites, although there was more open water near roost sites than around random sites. Roosts in southern Texas were associated primarily with grasslands, but this was not the case elsewhere. …”
Get full text

A Study of the Technical Aspects of Local Buffalo Rearing in West Aceh Regency by Zikri Maulina Gaznur, Wan Taufiq Aulia Syafiq, Hendra Koesmara, Eka Mutia Sari, Mohd Agus Nashri Abdullah, Asril Asril

“…The sampling technique is random and the number of samples is determined deliberately taking into consideration the breeders who are willing to be interviewed. …”
Get full text

A Survey on the Modeling of Magnetic Tunnel Junctions for Circuit Simulation by Hyein Lim, Seungjun Lee, Hyungsoon Shin

“…Spin-transfer torque-based magnetoresistive random access memory (STT-MRAM) is a promising candidate for universal memory that may replace traditional memory forms. …”
Get full text

Defense against Malicious Users in Cooperative Spectrum Sensing Using Genetic Algorithm by Noor Gul, Ijaz Mansoor Qureshi, Atif Elahi, Imtiaz Rasool

“…Four types of abnormal SUs, opposite malicious user (OMU), random opposite malicious user (ROMU), always yes malicious user (AYMU), and always no malicious user (ANMU), are discussed in this paper. …”
Get full text

Modeling techniques group setting on increasing adolescent self-regulation in traffic violation prevention by Nurfarhanah Nurfarhanah, Rezki Hariko, Firman Firman, Zikry Latupasjana Ersya, Maya Mashita Rachmi

“…The research sample is Vocational High School (SMK) students. Sampling using random cluster sampling. The instrument used is a self-regulation questionnaire in traffic. …”
Get full text

Nickel Removal from Aqueous Solution Using Chemically Treated Mahogany Sawdust as Biosorbent by Rajesh Chanda, Amir Hamza Mithun, Md. Abu Hasan, Biplob Kumar Biswas

“…The obtained thermodynamic parameters indicated that the adsorption reaction was spontaneous, endothermic, and random in nature. The study revealed that sawdust biosorbent has potential adsorption efficiency for nickel ion removal from an aqueous solution.…”
Get full text

Utilising AI technique to identify depression risk among doctoral students by Changhong Teng, Chunmei Yang, Qiushi Liu

“…Based on the data from the 2019 Nature Global Doctoral Student Survey, we first screened 13 highly relevant features from a total of 37 features potentially related to the risk of depression among doctoral students by Random Forest algorithm. Subsequently, we trained the optimal prediction model to predict the doctoral students with depression risk using a Multilayer Perceptron (MLP), achieving an accuracy of 89.09% on the test set. …”
Get full text

Resting-state Functional Magnetic Resonance Imaging in Application of the Motor Function Rehabilitation in Patients with Acute Cerebral Infarction by Wan QI, Minmin SHI, Biying LIU, Yanxu WANG, Yaye XU, Haolan DU

“…Objective:To explore the efficacy of the neural function reconstruction of treatment systems for active and passive motor function rehabilitation of acute cerebral infarction patients, applying functional magnetic resonance imaging (fMRI) based on the principle of blood oxygen level dependent (BOLD-fMRI).Methods:The twenty patients with acute cerebral infarction were recruited and randomly divided into active and passive groups according to method of random sampling, the two groups received routine drug therapy, acupuncture and moxibustion treatment. …”
Get full text

Reduction of cyanide concentration in cassava by lactic acid bacteria fermentation: A meta-analysis by Jayanegara M. Asyam, Palupi Eny, Jayanegara Anuraga

“…The integration of effect sizes from different studies was based on a random effect model with the DerSimonian-Laird algorithm. …”
Get full text

The leadership and supervisory practices of principals in public secondary schools of the State of Amhara, Ethiopia, as perceived by teachers by Melaku Mengistu Gebremeskel, Demeke Wolie Ambaye

“…The study employed the descriptive survey research design of the quantitative approach involving 1115 teachers recruited through a proportionate stratified random sampling technique. Data collected through a questionnaire and analyzed using descriptive statistics and multivariate analyses of variance revealed that teachers perceived the leadership and supervisory practices of principals were weak. …”
Get full text

The Influence of Domestic Players on the Success in National and International Competitions in Football by Michal Varmus, Pavol Boško, Roman Adámik, Dominika Toman, Zakaria Elkhwesky

“…These were tested using a statistical algorithm including the Pooled linear regression model, Fixed effects models, Random effects models, and the ANOVA test. Main findings confirmed that if there is an effort to have more domestic players on the rosters, this has a positive effect on the success in the national league. …”
Get full text

The Sleepy Medical Student: Exploring Sociodemographic Factors and Excessive Daytime Sleepiness in Iraq by Aseel Jasim Ali

“…The study targeted 250 medical students, using basic random sampling, students were chosen based on their sex and educational level. …”
Get full text