An Analysis of Variance Test for Normality (Complete Samples)

Application of convolutional neural network on early human embryo segmentation during in vitro fertilization

Zhao, M., Xu, M., Li, H., Alqawasmeh, O., Chung, J. P. W., Li, T. C., Lee, T., Tang, P. M., & Chan, D. Y. L. (2021) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.16288 · Cited by 39

Cross-organisational Communities of Practice: enhancing creativity and epistemic cognition in higher education

Mavri, A., Ioannou, A., & Loizides, F. (2021) · The Internet and Higher Education · doi:10.1016/j.iheduc.2021.100792 · Cited by 40

Feeding strategies impact animal growth and beef color and tenderness

Gómez, J. F. M., Antonelo, D. S., Beline, M., et al. (2021) · Meat Science · doi:10.1016/j.meatsci.2021.108599 · Cited by 39

Detecting Outliers in a Two-Way Table: I. Statistical Behavior of Residuals

Gentleman, J. F., & Wilk, M. B. (1975) · Technometrics · doi:10.1080/00401706.1975.10489265 · Cited by 39

Fetal transabdominal biometry at 11–14 weeks of gestation

Von Kaisenberg, C. S., Fritzer, E., Kühling, H., & Jonat, W. (2002) · Ultrasound in Obstetrics & Gynecology · doi:10.1046/j.1469-0705.2002.00842.x · Cited by 37

Serial lumbar and ventricular cerebrospinal fluid biochemical marker measurements in patients with leptomeningeal metastases from solid and hematological tumors

Twijnstra, A., de Visser, B. W. O., van Zanten, A. P., et al. (1989) · Journal of Neuro-Oncology · doi:10.1007/bf00149379 · Cited by 39

Increasing Reporting of Adverse Events to Improve the Educational Value of the Morbidity and Mortality Conference

McVeigh, T. P., Waters, P. S., Murphy, R., et al. (2012) · Journal of the American College of Surgeons · doi:10.1016/j.jamcollsurg.2012.09.010 · Cited by 38

Significance tests to determine the direction of effects in linear regression models

Wiedermann, W., Hagmann, M., & von Eye, A. (2014) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/bmsp.12037 · Cited by 38

White matter alterations to cingulum and fornix following very preterm birth and their relationship with cognitive functions

Caldinelli, C., Froudist‐Walsh, S., Karolis, V. R., Tseng, C.-E. J., Allin, M. P. G., Walshe, M., Cuddy, M., Murray, R. M., & Nosarti, C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.026 · Cited by 38

Utilizing Construction Leading Safety Indicators: Case Study of Tennessee

Akroush, N. S., & El-adaway, I. H. (2017) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000546 · Cited by 39

Feature selection for entity extraction from multiple biomedical corpora: A PSO-based approach

Yadav, S., Ekbal, A., & Saha, S. (2017) · Soft Computing · doi:10.1007/s00500-017-2714-4 · Cited by 38

Guilt Dynamics: Consequences of Temporally Separating Decisions and Actions

Duke, K. E., & Amir, O. (2018) · Journal of Consumer Research · doi:10.1093/jcr/ucy049 · Cited by 37

The Genomic Origins of Small Mitochondrial RNAs: Are They Transcribed by the Mitochondrial DNA or by Mitochondrial Pseudogenes within the Nucleus (NUMTs)?

Pozzi, A., & Dowling, D. K. (2019) · Genome Biology and Evolution · doi:10.1093/gbe/evz132 · Cited by 41

Correlation approach for quality assurance of additive manufactured parts based on optical metrology

Zhang, X., Zheng, Y., Suresh, V., Wang, S., Li, Q., Li, B.-W., & Qin, H. (2020) · Journal of Manufacturing Processes · doi:10.1016/j.jmapro.2020.02.037 · Cited by 33

Benzimidazole Derivatives Are Potent against Multiple Life Cycle Stages of Plasmodium falciparum Malaria Parasites

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LightNF: Simplifying Network Function Offloading in Programmable Networks

Chen, X., Huang, Q., Wang, P., et al. (2021) · IEEE/ACM International Symposium on Quality of Service (IWQoS) · doi:10.1109/iwqos52092.2021.9521329 · Cited by 38

Carbon management strategy effects on the disclosure and efficiency of carbon emissions: A study of Colombian companies’ context and inherent characteristics

Rodríguez, M. C. L., Gambetta, N., & Benau, M. A. G. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.132850 · Cited by 38

Retrieving leaf area index from SPOT4 satellite data

Aboelghar, M. A., Arafat, S. M. Y., Saleh, A. M., et al. (2010) · The Egyptian Journal of Remote Sensing and Space Science · doi:10.1016/j.ejrs.2010.06.001 · Cited by 38

Antilarval and antimicrobial activity of waterborne metabolites of the sponge Callyspongia (Euplacella) pulvinata: evidence of allelopathy

Dobretsov, S., Dahms, H., & Qian, P. (2004) · Marine Ecology Progress Series · doi:10.3354/meps271133 · Cited by 38

Critique on the use of the delta distribution for the analysis of trawl survey data

Syrjala, S. (2000) · ICES Journal of Marine Science · doi:10.1006/jmsc.2000.0571 · Cited by 38

On Testing for Two Outliers or One Outlier in Two-Way Tables

John, J. A., & Draper, N. R. (1978) · Technometrics · doi:10.1080/00401706.1978.10489618 · Cited by 38

Switch from fetal to adult hemoglobin is associated with a change in progenitor cell population.

Weinberg, R., Goldberg, J. D., Schofield, J. M., et al. (1983) · Journal of Clinical Investigation · doi:10.1172/jci110832 · Cited by 38

Determining the sources of fine-grained sediment using the Sediment Source Assessment Tool (Sed_SAT)

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Anticorrosion properties of silica-based sol-gel coatings on steel – The influence of hydrolysis and condensation conditions

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Linear, nonlinear, parametric and nonparametric regression models for nonstationary flood frequency analysis

Chen, M., Papadikis, K., Jun, C., & Macdonald, N. (2022) · Journal of Hydrology · doi:10.1016/j.jhydrol.2022.128772 · Cited by 39

An analysis of physiological responses as indicators of driver takeover readiness in conditionally automated driving

Deng, M., Gluck, A., Zhao, Y., Li, D., Menassa, C. C., Kamat, V. R., & Brinkley, J. (2023) · Accident Analysis & Prevention · doi:10.1016/j.aap.2023.107372 · Cited by 44

Deep learning-based harmonization and super-resolution of Landsat-8 and Sentinel-2 images

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Grass leaf protein, a coproduct of cellulosic ethanol production, as a source of protein for livestock

Kammes, K. L., Bals, B. D., Dale, B. E., et al. (2011) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2010.12.006 · Cited by 37

Road Runoff Water-Quality Mitigation by Permeable Modular Concrete Pavers

Fassman-Beck, E. A., & Blackbourn, S. (2011) · Journal of Irrigation and Drainage Engineering · doi:10.1061/(asce)ir.1943-4774.0000339 · Cited by 37

Assessment of Nonlinear Dynamic Models by Kolmogorov–Smirnov Statistics

Djurić, P. M., & Mı́guez, J. (2010) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2010.2053707 · Cited by 37

Quantifying and visualising variation in batch operations: A new heterogeneity index

Olatunji, J. R., Love, R. J., Shim, Y. M., et al. (2016) · Journal of Food Engineering · doi:10.1016/j.jfoodeng.2016.10.004 · Cited by 37

Sphingolipids as a new factor in the pathomechanism of preeclampsia – Mass spectrometry analysis

Charkiewicz, K., Gościk, J., Błachnio-Zabielska, A. U., Raba, G., Sakowicz, A., Kalinka, J., Chabowski, A., & Laudański, P. (2017) · PLoS ONE · doi:10.1371/journal.pone.0177601 · Cited by 37

An Iterative Response-Surface Methodology by Use of High-Degree-Polynomial Proxy Models for Integrated History Matching and Probabilistic Forecasting Applied to Shale-Gas Reservoirs

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Effects of pesticide exposure on reproductivity of male groundnut farmers in Kyauk Kan village, Nyaung-U, Mandalay region, Myanmar

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Analyzing Gamification Impact on a Mastery Learning Introductory Programming Course

de Pontes, R. G., Guerrero, D., & de Figueiredo, J. C. A. (2019) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/3287324.3287367 · Cited by 39

Power line mapping technique using all-terrain mobile laser scanning

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An enhanced index for evaluating natural joint roughness considering multiple morphological factors affecting the shear behavior

Song, L., Jiang, Q., Li, L.-F., et al. (2019) · Bulletin of Engineering Geology and the Environment · doi:10.1007/s10064-019-01700-1 · Cited by 37

A comparison of nitrogen isotope compositions of charred and desiccated botanical remains from northern Peru

Szpak, P., & Chiou, K. L. (2019) · Vegetation History and Archaeobotany · doi:10.1007/s00334-019-00761-2 · Cited by 37

Coupled plant traits adapted to wetting/drying cycles of substrates co‐define niche multidimensionality

Rodríguez‐Robles, U., Arredondo, J. T., Huber‐Sannwald, E., et al. (2020) · Plant Cell & Environment · doi:10.1111/pce.13837 · Cited by 37

Utilization of algal and bacterial extracellular polymeric secretions (EPS) by the deposit-feeding brittlestar Amphipholis gracillima (Echinodermata)

Hoskins, D., Stancyk, S., & Decho, A. W. (2003) · Marine Ecology Progress Series · doi:10.3354/meps247093 · Cited by 37

Systemic Blockage of Nitric Oxide Synthase by L-NAME Increases Left Ventricular Systolic Pressure, Which Is Not Augmented Further by Intralipid®

Shin, I.-W., Hah, Y., Kim, C., et al. (2014) · International Journal of Biological Sciences · doi:10.7150/ijbs.8048 · Cited by 37

Socioeconomic status and access to psychotherapy

Niemeyer, H., & Knaevelsrud, C. (2022) · Journal of Clinical Psychology · doi:10.1002/jclp.23449 · Cited by 45

Multimodal assessment of brain fluid clearance is associated with amyloid-beta deposition in humans

Zhou, L., Butler, T., Wang, X. H., Xi, K., Tanzi, E. B., Glodzik, L., Chiang, G. C.-Y., de Leon, M. J., & Li, Y. (2023) · Journal of Neuroradiology · doi:10.1016/j.neurad.2023.10.009 · Cited by 39

Direction of Effects in Multiple Linear Regression Models

Wiedermann, W., & von Eye, A. (2015) · Multivariate Behavioral Research · doi:10.1080/00273171.2014.958429 · Cited by 36

Multi Criteria Credit Rating Model for Small Enterprise Using a Nonparametric Method

Chi, G., & Zhang, Z. (2017) · Sustainability · doi:10.3390/su9101834 · Cited by 36

Classification for EEG report generation and epilepsy detection

Oliva, J. T., & Rosa, J. L. G. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.01.053 · Cited by 37

Effect of Zeolite on Nitrogen Use Efficiency and Physiological and Biomass Traits of Amaranth (Amaranthus hypochondriacus) Under Water-Deficit Stress Conditions

Karami, S., Hadi, H., Tajbaksh, M., & Modarres‐Sanavy, S. A. M. (2020) · Journal of soil science and plant nutrition · doi:10.1007/s42729-020-00223-z · Cited by 36

The European Biological Variation Study (EuBIVAS): weekly biological variation of cardiac troponin I estimated by the use of two different high-sensitivity cardiac troponin I assays

Ceriotti, F., Marco, J. D.-G., Fernández–Calle, P., Maregnani, A., Aarsand, A. K., Coşkun, A., Jonker, N., Sandberg, S., & Carobene, A. (2020) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2019-1182 · Cited by 36

QueryVis: Logic-based Diagrams help Users Understand Complicated SQL Queries Faster

Leventidis, A. S., Zhang, J., Dunne, C., Gatterbauer, W., Jagadish, H. V., & Riedewald, M. (2020) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/3318464.3389767 · Cited by 44

Evaluation of Students’ Flow State in an E-learning Environment Through Activity and Performance Using Deep Learning Techniques

Semerci, Y. C., & Goularas, D. (2020) · Journal of Educational Computing Research · doi:10.1177/0735633120979836 · Cited by 36

Untitled work

(2001) · doi:10.1577/1548-8659(2001)130

Comparative Pollen Morphological Analysis and Its Systematic Implications on Three European Oak (Quercus L., Fagaceae) Species and Their Spontaneous Hybrids

Wrońska‐Pilarek, D., Danielewicz, W., Bocianowski, J., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0161762 · Cited by 36

External Isovolumic Contraction Times and Left Ventricular Ejection Time/External Isovolumic Contraction Time Ratios at Rest and After Exercise in Coronary Heart Disease

Aronow, W. S., Bowyer, A. F., & Kaplan, M. A. (1971) · Circulation · doi:10.1161/01.cir.43.1.59 · Cited by 36

The response of vegetation to disturbance in Death Valley National Monument, California

Webb, R. H., Steiger, J. W., & Newman, E. B. (1988) · doi:10.3133/b1793 · Cited by 36

Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation

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Dissecting the Biology of the Fungal Wheat Pathogen Zymoseptoria tritici: A Laboratory Workflow

Fagundes, W. C., Haueisen, J., & Stukenbrock, E. H. (2020) · Current Protocols in Microbiology · doi:10.1002/cpmc.128 · Cited by 35

Out of control: An altered parieto-occipital-cerebellar network for impulsivity in bipolar disorder

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Effect of temperature and plasticizer content of polypropylene and polylactic acid on migration kinetics into isooctane and 95 v/v% ethanol as alternative fatty food simulants

Petrovics, N., Kirchkeszner, C., Tábi, T., et al. (2022) · Food Packaging and Shelf Life · doi:10.1016/j.fpsl.2022.100916 · Cited by 35

Tai Chi exercise improves working memory capacity and emotion regulation ability

Wang, Y., Tian, J., & Yang, Q. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1047544 · Cited by 40

Meso- and microplastic composition, distribution patterns and drivers: A snapshot of plastic pollution on Brazilian beaches

Pegado, T., de Andrades, R. C., Noleto-Filho, E. M., Franceschini, S., Soares, M. D. O., Chelazzi, D., Russo, T., Martellini, T., Barone, A., Cincinelli, A., et al. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.167769 · Cited by 35

A new dynamic spatial information design framework for AR-HUD to evoke drivers’ instinctive responses and improve accident prevention

Wang, J., Yang, J., Fu, Q., Zhang, J., & Zhang, J. (2023) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2023.103194 · Cited by 39

Shotgun metagenomics reveals interkingdom association between intestinal bacteria and fungi involving competition for nutrients

Xie, Z., Canalda-Baltrons, A., d’Enfert, C., & Manichanh, C. (2023) · Microbiome · doi:10.1186/s40168-023-01693-w · Cited by 36

Engaged and Affective Virtual Agents: Their Impact on Social Presence, Trustworthiness, and Decision-Making in the Group Discussion

Kim, H., Han, B., Kim, J., Syawaludin, M. F., Kim, G. J., & Hwang, J. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642917 · Cited by 43

Psychological factors influencing consumer intentions to consume cultured meat, fish and dairy

Engel, L., Vilhelmsen, K., Richter, I., Moritz, J., Ryynänen, T., Young, J. F., Burton, R. J. F., Kidmose, U., & Klöckner, C. A. (2024) · Appetite · doi:10.1016/j.appet.2024.107501 · Cited by 39

Secreted gingipains from Porphyromonas gingivalis colonies exert potent immunomodulatory effects on human gingival fibroblasts

Bengtsson, T., Khalaf, A., Khalaf, H., et al. (2015) · Microbiological Research · doi:10.1016/j.micres.2015.05.008 · Cited by 35

Equivalence of improvement in area under ROC curve and linear discriminant analysis coefficient under assumption of normality

Demler, O., Pencina, M. J., & D’Agostino, R. B. (2011) · Statistics in Medicine · doi:10.1002/sim.4196 · Cited by 35

Macroinvertebrate diversity loss in urban streams from tropical forests

Docile, T., Figueiró, R., Portela, C., et al. (2016) · Environmental Monitoring and Assessment · doi:10.1007/s10661-016-5237-z · Cited by 35

Early drainage mitigates methane and nitrous oxide emissions from organically amended paddy soils

Tariq, A., Jensen, L. S., de Tourdonnet, S., et al. (2016) · Geoderma · doi:10.1016/j.geoderma.2016.08.022 · Cited by 35

Both Basal and Acute Restraint Stress-Induced c-Fos Expression Is Influenced by Age in the Extended Amygdala and Brainstem Stress Centers in Male Rats

Kovács, L. Á., Schiessl, J. A., Nafz, A. E., CSERNUS, V. J., & Gaszner, B. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00248 · Cited by 39

Multiwaveform inference of gravitational waves

Ashton, G., & Khan, S. (2020) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.101.064037 · Cited by 35

Telementoring in Leg Fasciotomies via Mixed-Reality: Clinical Evaluation of the STAR Platform

Rojas-Muñoz, E., Cabrera, M. E., Lin, C., Sanchez‐Tamayo, N., Andersen, D., Popescu, V. S., Anderson, K., Zarzaur, B. L., Mullis, B., & Wachs, J. P. (2020) · Military Medicine · doi:10.1093/milmed/usz234 · Cited by 37

Evaluation of bioremediation strategies for treating recalcitrant halo-organic pollutants in soil environments

Sadañoski, M. A., Tatarin, A. S., Barchuk, M. L., et al. (2020) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2020.110929 · Cited by 35

Implementing Mobile HRV Biofeedback as Adjunctive Therapy During Inpatient Psychiatric Rehabilitation Facilitates Recovery of Depressive Symptoms and Enhances Autonomic Functioning Short-Term: A 1-Year Pre–Post-intervention Follow-Up Pilot Study

Tatschl, J. M., Hochfellner, S., & Schwerdtfeger, A. R. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00738 · Cited by 41

The Insidious Momentum of American Mass Incarceration

Zimring, F. E. (2020) · doi:10.1093/oso/9780197513170.001.0001 · Cited by 34

Adam or Eve? Automatic users’ gender classification via gestures analysis on touch devices

Guarino, A., Lettieri, N., Malandrino, D., Zaccagnino, R., & Capo, C. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07454-4 · Cited by 35

DO FEMALE SPIDERS SELECT HEAVIER MALES FOR THE GENES FOR BEHAVIORAL AGGRESSIVENESS THEY OFFER THEIR OFFSPRING?

Riechert, S. E., & Johns, P. (2003) · Evolution · doi:10.1111/j.0014-3820.2003.tb00344.x · Cited by 35

Capability of self-organizing map neural network in geophysical log data classification: Case study from the CCSD-MH

Konaté, A. A., Pan, H., Fang, S., Asim, S., Ziggah, Y. Y., Deng, C., & Khan, N. (2015) · Journal of Applied Geophysics · doi:10.1016/j.jappgeo.2015.04.004 · Cited by 36

The role of climatic variability on the short-term fluctuations of octopus captures at the Canary Islands

Caballero-Alfonso, Á. M., Ganzedo, U., Trujillo-Santana, A., Polanco-Martínez, J. M., Santana, Á., Ibarra‐Berastegi, G., & Castro, J. J. (2009) · Fisheries Research · doi:10.1016/j.fishres.2009.12.006 · Cited by 34

Non-Lethal Endotoxin Injection: A Rat Model of Hypercoagulability

Brooks, M. B., Turk, J. R., Guerrero, A., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0169976 · Cited by 35

Effects of ration level in rainbow trout, Oncorhynchus mykiss (Walbaum), on sensory characteristics, lipid content and fatty acid composition

JOHANSSON, L., Kiessling, A., Åsgård, T. E., et al. (1995) · Aquaculture Nutrition · doi:10.1111/j.1365-2095.1995.tb00036.x · Cited by 35

Exposure of biofilms to meiofaunal copepods affects the larval settlement of Hydroides elegans (Polychaeta)

Dahms, H., & Qian, P. (2005) · Marine Ecology Progress Series · doi:10.3354/meps297203 · Cited by 35

Induction of larval attachment and metamorphosis in the serpulid polychaete Hydroides elegans by dissolved free amino acids:mode of action in laboratory bioassays

Beckmann, M., Harder, T., & Qian, P. (1999) · Marine Ecology Progress Series · doi:10.3354/meps190167 · Cited by 35

How do policies influence GDP tail risks?

Sánchez, A. C., & Röhn, O. (2016) · OECD Economics Department working papers · doi:10.1787/5jln0428l1wl-en · Cited by 36

Fast and accurate assessment of depression based on voice acoustic features: a cross-sectional and longitudinal study

Wang, Y., Liang, L., Zhang, Z., Xu, X. D., Liu, R., Fang, H., Zhang, R., Wei, Y., Liu, Z., Zhu, R., et al. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1195276 · Cited by 41

The influence of virtual environment on thermal perception: physical reaction and subjective thermal perception on outdoor scenarios in virtual reality

Wu, C., Cui, J., Xu, X., & Song, D. (2023) · International Journal of Biometeorology · doi:10.1007/s00484-023-02495-3 · Cited by 34

Thermal performance of vertical greenery systems (VGS) in a street canyon: A real-scale long-term experiment

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Please Tell Me More: Privacy Impact of Explainability through the Lens of Membership Inference Attack

Liu, H., Wu, Y., Yu, Z., & Zhang, N. (2024) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp54263.2024.00120 · Cited by 46

Climate anxiety, economic policy uncertainty, and green growth

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The moderating effects of keyword competition on the determinants of ad position in sponsored search advertising

Ayanso, A., & Karimi, A. (2014) · Decision Support Systems · doi:10.1016/j.dss.2014.11.009 · Cited by 34

Evaluation of Test Statistics for Robust Structural Equation Modeling With Nonnormal Missing Data

Tong, X., Zhang, Z. J., & Yuan, K. (2014) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2014.919820 · Cited by 34

Learned predictiveness effects following single-cue training in humans

Pelley, M. E. L., Turnbull, M. N., Reimers, S. J., & Knipe, R. (2010) · Animal Learning & Behavior · doi:10.3758/lb.38.2.126 · Cited by 36

Utilização dos testes estatísticos de Kolmogorov-Smirnov e Shapiro-Wilk para verificação da normalidade para materiais de pavimentação

Lopes, M. D. M., Branco, V. T. F. C., & Soares, J. B. (2013) · Transportes · doi:10.4237/transportes.v21i1.566 · Cited by 34

Alcohol and violent behavior among football spectators: An empirical assessment of Brazilian's criminalization

Nepomuceno, T. C. C., de Moura, J. A., Silva, L. C. E., et al. (2017) · International journal of law, crime and justice · doi:10.1016/j.ijlcj.2017.05.001 · Cited by 34

Ecological fragmentation effects in mouse lemurs and small mammals in northwestern Madagascar

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Impact of freeze-drying and subsequent storage on milk metabolites based on 1H NMR and UHPLC-QToF/MS

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Integrating fish scale and bone isotopic compositions for ‘deep time’ retrospective studies

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Investigating the Correlation between Performance Scores and Energy Consumption of Mobile Web Apps

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Interaction between Fusarium oxysporum f. sp. cubense and Radopholus similis can lead to changes in the resistance of banana cultivars to Fusarium wilt

Rocha, A. D. J., Ferreira, M. D. S., Rocha, L. D. S., et al. (2020) · European Journal of Plant Pathology · doi:10.1007/s10658-020-02081-y · Cited by 34

Psychological Flexibility and Its Relationship to Distress and Work Engagement Among Intensive Care Medical Staff

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Impact of the COVID-19 on foreign direct investment inflows in emerging economies: evidence from panel quantile regression

Koçak, S., & Barış-Tüzemen, Ö. (2022) · Future Business Journal · doi:10.1186/s43093-022-00133-9 · Cited by 34

Testing of normality of data files for application of SPC tools

Mach, P., & Hochlova, H. (2005) · doi:10.1109/isse.2004.1490443 · Cited by 6

Detection of Non-Normality in Data Sets and Comparison between Different Normality Tests

Emmanuel, B. O., Maureen, N. T., & Wonu, N. (2020) · Asian Journal of Probability and Statistics · doi:10.9734/ajpas/2019/v5i430149 · Cited by 18

ASESSING NORMALITY FOR DATA WITH DIFFERENT SAMPLE SIZES USING SAS, MINITAB AND R

Fitrianto, A. (2015) · Malaysian Technical Universities Conference on Engineering and Technology 2015 · Cited by 1

Normality Test in Clinical Research

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Using a Correlation Test for Normality

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