Address overloading-based packet forwarding verification in SDN by Ping WU, Chaowen CHANG, Zhibin ZUO, Yingying MA

“…Aiming at the problem that the most existing forwarding verification mechanisms in software-defined network (SDN) verified packets hop-by-hop by incorporating new secure communication protocols, which incurred significant computation and communication overhead, an address overloading-based forwarding verification mechanism was proposed.The flow runtime was divided into consecutive random intervals by the ingress switch via overloading address fields of packet, basing on overloading address, packets were forwarded by each subsequent switch, and the controller sampled the packets forwarded by ingress and egress switch in the interval to detect abnormal behavior on the path.Finally, the proposed mechanism and simulation network was implemented and evaluated.Experiments show that the mechanism achieves efficient forwarding and effective anomaly detection with less than 8% of additional forwarding delays.…”
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BenchMake: turn any scientific data set into a reproducible benchmark by A S Barnard

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The mediating role of safety behavior in the relationship between safety climate and safety outcomes among sanitary workers in Pakistan by Nadia Nisar, Nadia Nisar, Nur Zakiah Mohd Saat, Dayana Hazwani Mohd Suadi Nata, Nurul Farahana Kamaludin, Ismarulyusda Ishak, Abdul Momin Rizwan Ahmad, Abdul Momin Rizwan Ahmad

“…The participants were chosen from the cantonment board Attock and Lahore management company using a simple random sampling technique.Results/conclusionThe findings revealed that safety climate and its dimensions such as management commitment, safety communication learning trust, and work environment have a significant positive relationship with safety outcomes. …”
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Assessment of reconstruction accuracy for under-sampled 31P-MRS data using compressed sensing and a low rank Hankel matrix completion approach by Jossian A. García, Michael D. Noseworthy, Alejandro Santos-Díaz

“…In order to use it, one of the main criteria states that the aliasing resulting from the undersampling scheme must be incoherent, which is achieved using a pseudo-random sampling strategy. However, when a set of pseudo-random sampling patterns are applied for the same acceleration factor, there is significant variability in the quality of the reconstructed signal. …”
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Development and validation of 15-month mortality prediction models: a retrospective observational comparison of machine-learning techniques in a national sample of Medicare recipie... by Gregory D Berg, Virginia F Gurley

“…Objective The objective is to develop and validate a predictive model for 15-month mortality using a random sample of community-dwelling Medicare beneficiaries.Data source The Centres for Medicare & Medicaid Services’ Limited Data Set files containing the five per cent samples for 2014 and 2015.Participants The data analysed contains de-identified administrative claims information at the beneficiary level, including diagnoses, procedures and demographics for 2.7 million beneficiaries.Setting US national sample of Medicare beneficiaries.Study design Eleven different models were used to predict 15-month mortality risk: logistic regression (using both stepwise and least absolute shrinkage and selection operator (LASSO) selection of variables as well as models using an age gender baseline, Charlson scores, Charlson conditions, Elixhauser conditions and all variables), naïve Bayes, decision tree with adaptive boosting, neural network and support vector machines (SVMs) validated by simple cross validation. …”
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Improving SOC estimation in low-relief farmlands using time-series crop spectral variables and harmonic component variables based on minimum sample size by Chenjie Lin, Ling Zhang, Nan Zhong

“…This method considers more information on crop growth and minimum sample size. The results showed that: (1) time-series NDVI was established as the characteristic crop spectral variables, based on crop spectral variables extracted from eight-day time-series reflectance products. (2) Seventeen harmonic component variables were derived from time-series NDVI via Fourier transformation. (3) Six crop spectral variables and seven harmonic component variables were determined as the optimal SOC estimators. (4) The convolutional neural network model provided higher SOC estimation accuracy (R2 = 0.81, NRMSE = 7.09%) than the random forest model and the back propagation neural network model. …”
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USING THE SNOWBALL METHOD IN MARKETING RESEARCH ON HIDDEN POPULATIONS by MIRELA-CRISTINA VOICU, ALINA-MIHAELA BABONEA

“…Drawing the samples is usually done by randomly selecting from a list representing the target population. …”
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Early and gland-specific changes in gene expression in response to LPS-induced mastitis in a single quarter of Holstein cows by Erin M. Shangraw, Thomas B. McFadden

“…Per cow, one mammary gland (QLPS) was randomly assigned to receive an intramammary infusion of 50 µg LPS immediately after morning milking on d-0. …”
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Using Social Media to Recruit a Diverse Sample of Participants for a Mobile Health (mHealth) Intervention to Increase Physical Activity: Exploratory Study by Laura Pathak, Rosa Hernandez-Ramos, Karina Rosales, Jose Miramontes-Gomez, Faviola Garcia, Vivian Yip, Suchitra Sudarshan, Anupama Gunshekar Cemballi, Courtney Lyles, Adrian Aguilera

“… Abstract BackgroundRecruitment of demographically diverse samples in clinical research is often challenging and even more so during the COVID-19 pandemic when traditional in-person recruitment methods could not be implemented. …”
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OssaNMA: An R package for using information from network meta-analyses to optimize the power and sample allocation of a new two-arm trial. by Fangshu Ye, Chong Wang, Annette M O'Connor

“…Trial designers are often interested in maximizing power when the total sample size is fixed or minimizing the required total sample size to reach a pre-specified power. …”
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High prevalence of thiamine (vitamin B1) deficiency in early childhood among a nationally representative sample of Cambodian women of childbearing age and their children. by Kyly C Whitfield, Geoffry Smith, Chhoun Chamnan, Crystal D Karakochuk, Prak Sophonneary, Khov Kuong, Marjoleine Amma Dijkhuizen, Rathavuth Hong, Jacques Berger, Tim J Green, Frank Tammo Wieringa

“…One-sixth of households taking part in the CDHS were randomly selected and re-visited for additional blood sampling for eThDP analysis (719 women and 761 children). …”
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An impervious surfaces extraction method based on optical, ascending and descending SAR remote sensing imagery in high-density urban core areas by Aizhu Zhang, Zheng Han, Genyun Sun, Xiaolin Chen, Ji Cheng, Honghsheng Zhang

“…Within each area type, samples representing four urban land covers—IS, vegetation, bare soil, and water bodies—are comprehensively labeled. …”
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Establishing Students’ Satisfaction with a Learning Management System Using a Modified DeLone and McLean Model: A South African Sample Perspective by Sibongile Simelane-Mnisi, Johnny Mafika Mthimunye

“…The participants comprised 595 students from the Faculty of Science at the University of Technology in South Africa, who were selected using stratified random sampling. Data were gathered through student LMS satisfaction surveys. …”
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Do insomnia and/or sleep disturbances predict the onset, relapse or worsening of depression in community and clinical samples of children and youth? Protocol for a systematic revie... by Sarah Bonato, Peter Szatmari, John D Haltigan, Cecilia Marino, Brendan Andrade, Madison Aitken

“…This protocol for a systematic review proposes to investigate whether insomnia and/or sleep disturbances predict child and youth depression in community and clinical-based samples.Methods and analysis The protocol adheres to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines. …”
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Dynamic Patch-Based Sample Generation for Pulmonary Nodule Segmentation in Low-Dose CT Scans Using 3D Residual Networks for Lung Cancer Screening by Ioannis D. Marinakis, Konstantinos Karampidis, Giorgos Papadourakis, Mostefa Kara

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Screening for Depression and Anxiety Using a Nonverbal Working Memory Task in a Sample of Older Brazilians: Observational Study of Preliminary Artificial Intelligence Model Transfe... by Alexandra Livia Georgescu, Nicholas Cummins, Emilia Molimpakis, Eduardo Giacomazzi, Joana Rodrigues Marczyk, Stefano Goria

“…ConclusionsThis study successfully demonstrates the preliminary transferability of two AI models trained on a nonverbal working memory task, one for depression and the other for anxiety classification, to a novel sample of older Brazilian adults. Future research could seek to replicate these findings in larger samples and other cultural contexts.…”
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Communication and relationships: how patients perceive informational and interactional organizational justice can improve patient-centered care, a study with samples from Spain and... by Diana Pérez-Arechaederra, Elena Briones, Luis García-Ortiz

“…In Spain, we developed a random sample selection from patients that visited their primary care service onsite. …”
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Evaluation of Diode Laser Treatment on Implant Stability, Healing Edema and Implant Survival in a Sample of Iraqi Patients Seeking Dental Implants: Single Center Study by Bakir Ghanem Murrad, Jed Bouguila, Thair A. Hasan

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Informal Use of Kratom for the Self-treatment of Heroin and Amphetamine-Type Stimulant (ATS): Findings from a Sample of People Who Use Drugs (PWUDs) in Malaysia by D. Singh, V. Balasingam, S. Narayanan

“…Methods: A total of 331 convicted PWUDs with kratom use history were randomly recruited from three penitentiaries for this cross-sectional study. …”
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Using Sentinel-1 Time Series Data for the Delineation of Management Zones by Juliano de Paula Gonçalves, Francisco de Assis de Carvalho Pinto, Daniel Marçal de Queiroz, Domingos Sárvio Magalhães Valente

“…The best combination of index and MZ delineation approaches was compared with four soil attribute mapping methods: conventional (single composite sample), high-density uniform grid (one sample per hectare), rectangular cells (one composite sample per cell of 5 to 10 hectares), and random cells (one composite sample per cell of varying sizes). …”
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