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Impact of data balancing a multiclass dataset before the creation of association rules to study bacterial vaginosis

Intelligent Medicine 2024年第3期4卷 188-199页

作者： Freddy de la Cruz-Ruiz Juana Canul-Reich Rafael Rivera-López Erick de la Cruz-Hernández Academic Division of Science and Technology of the Information Juárez Autonomous University of TabascoLa Esmeralda DistrictTabascoMexico department of Systems National Technological Institute of MexicoTechnological Institute of VeracruzVeracruzMexico Multidisciplinary Academic Division of Comalcalco Juárez Autonomous University of TabascoTabascoMexico

Background Bacterial vaginosis is a polymicrobial syndrome in which the homeostasis exerted by the latobacillus species that protect the vaginal mucosa has been *** study explored the data balancing process with the intention of improving the quality of association *** article aimed to balance the unbalanced multiclass dataset to improve association rule *** A dataset with 201 observations and 58 variables was analyzed.A preconstructed dataset was *** authors collected the data between August 2016 and October 2018 in Tabasco,*** study population comprised sexually active women ages 18 to 50 who underwent gynecological inspection at the infectious and metabolic diseases research laboratory at the Universidad Juarez Autonoma de *** determine the best κ-value,the random-forest algorithm was used and the balancing was performed with the synthetic minority over-sampling technique(SMOTE),random over-sampling examples(ROSE),and adaptive syntetic sampling approach for imbalanced learning(ADASYN)*** Apriori algorithm created the rules and to select rules with statistical significance,the ***(),***(),and ***()functions and quality metric Fisher’s exact tes were *** biological validation was carried out by the expert(bacteriologist).Results The ADASYN algorithm at K=9 the out of the bag(OOB)error was zero,this was the best𝐾-*** the balancing process the ADASYN algorithm show best the *** the dataset balanced with ADASYN,the apriori algorithm created the association rules and the selection with the quality metric Fisher’s exact test,and the biological validation reported 13 ***-bacteria Atopobium vaginae,Gardnerella vaginalis,Megasphaera filotipo 1,Mycoplasma hominis and Ureaplasma parvum were detected by the apriori algorithm from the balanced *** Balancing may improve the creation of association rules to efficiently model the bacteria that cause bac

关键词： Bacterial vaginosis Data balancing Random forest Synthetic minority over-sampling technique

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Measures of Variability for Qualitative Variables Using the R Software

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Open Journal of Statistics 2024年第3期14卷 259-293页

作者： José Moral de la Rubia School of Psychology Universidad Autnoma de Nuevo Len Monterrey Mexico

Although there are many measures of variability for qualitative variables, they are little used in social research, nor are they included in statistical software. The aim of this article is to present six measures of variation for qualitative variables of simple calculation, as well as to facilitate their use by means of the R software. The measures considered are, on the one hand, Freemans variation ratio, Morals universal variation ratio, Kvalseths standard deviation from the mode, and Wilcoxs variation ratio which are most affected by proximity to a constant random variable, where the measures of variability for qualitative variables reach their minimum value of 0. On the other hand, the Gibbs-Poston index of qualitative variation and Shannons relative entropy are included, which are more affected by the proximity to a uniform distribution, where the measures of variability for qualitative variables reach their maximum value of 1. Point and interval estimation are addressed. Bootstrap by the percentile and bias-corrected and accelerated percentile methods are used to obtain confidence intervals. Two calculation situations are presented: with a sample mode and with two or more modes. The standard deviation from the mode among the six considered measures, and the universal variation ratio among the three variation ratios, are particularly recommended for use.

关键词： Variation Ratio Relative Entropy Index of Qualitative Variation Standard deviation from Mode Bootstrap Confidence Interval

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Rice University Rule to determine the Number of Bins

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Open Journal of Statistics 2024年第1期14卷 119-149页

作者： José Moral de la Rubia School of Psychology Universidad Autónoma de Nuevo León Monterrey Mexico

This study aims to establish a rationale for the Rice University rule in determining the number of bins in a histogram. It is grounded in the Scott and Freedman-Diaconis rules. Additionally, the accuracy of the empirical histogram in reproducing the shape of the distribution is assessed with respect to three factors: the rule for determining the number of bins (square root, Sturges, Doane, Scott, Freedman-Diaconis, and Rice University), sample size, and distribution type. Three measures are utilized: the average distance between empirical and theoretical histograms, the level of recognition by an expert judge, and the accuracy index, which is composed of the two aforementioned measures. Mean comparisons are conducted with aligned rank transformation analysis of variance for three fixed-effects factors: sample size (20, 35, 50, 100, 200, 500, and 1000), distribution type (10 types), and empirical rule to determine the number of bins (6 rules). From the accuracy index, Rice’s rule improves with increasing sample size and is independent of distribution type. It outperforms the Friedman-Diaconis rule but falls short of Scott’s rule, except with the arcsine distribution. Its profile of means resembles the square root rule concerning distributions and Doane’s rule concerning sample sizes. These profiles differ from those of the Scott and Friedman-Diaconis rules, which resemble each other. Among the seven rules, Scott’s rule stands out in terms of accuracy, except for the arcsine distribution, and the square root rule is the least accurate.

关键词： Histogram Class Intervals Accuracy Distributions descriptive Statistics

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Calculation of Two-Tailed Exact Probability in the Wald-Wolfowitz One-Sample Runs Test

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Journal of Data Analysis and Information Processing 2024年第1期12卷 89-114页

作者： José Moral de la Rubia School of Psychology Universidad Autónoma de Nuevo León Monterrey Nuevo León México

The objectives of this paper are to demonstrate the algorithms employed by three statistical software programs (R, Real Statistics using Excel, and SPSS) for calculating the exact two-tailed probability of the Wald-Wolfowitz one-sample runs test for randomness, to present a novel approach for computing this probability, and to compare the four procedures by generating samples of 10 and 11 data points, varying the parameters n0 (number of zeros) and n1 (number of ones), as well as the number of runs. Fifty-nine samples are created to replicate the behavior of the distribution of the number of runs with 10 and 11 data points. The exact two-tailed probabilities for the four procedures were compared using Friedman’s test. Given the significant difference in central tendency, post-hoc comparisons were conducted using Conover’s test with Benjamini-Yekutielli correction. It is concluded that the procedures of Real Statistics using Excel and R exhibit some inadequacies in the calculation of the exact two-tailed probability, whereas the new proposal and the SPSS procedure are deemed more suitable. The proposed robust algorithm has a more transparent rationale than the SPSS one, albeit being somewhat more conservative. We recommend its implementation for this test and its application to others, such as the binomial and sign test.

关键词： Randomness Nonparametric Test Exact Probability Small Samples Quantiles

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depression Intensity Classification from Tweets Using Fast Text Based Weighted Soft Voting Ensemble

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Computers, Materials & Continua 2024年第2期78卷 2047-2066页

作者： Muhammad Rizwan Muhammad Faheem Mushtaq Maryam Rafiq Arif Mehmood Isabel de la Torre Diez Monica Gracia Villar Helena Garay Imran Ashraf department of Artificial Intelligence The Islamia University of BahawalpurBahawalnagar63100Pakistan department of Information Technology Khwaja Fareed University of Engineering and ITRYKhan64200Pakistan department of Computer Science&Information Technology The Islamia University of BahawalpurBahawalnagar63100Pakistan department of Signal Theory and Communications and Telematic Engineering Unviersity of ValladolidPaseo de Belén 15Valladolid47011Spain Faculty of Social Science and Humanities Universidad Europea del Atlántico Isabel Torres 21Santander39011Spain department of Project Management Universidad Internacional IberoamericanaCampeche24560México Fundación Universitaria Internacional de Colombia Bogotá111611Colombia Universidad Internacional Iberoamericana AreciboPuerto Rico00613USA Universidade Internacional do Cuanza Cuito46703Angola department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541South Korea

Predicting depression intensity from microblogs and social media posts has numerous benefits and applications,including predicting early psychological disorders and stress in individuals or the general public.A major challenge in predicting depression using social media posts is that the existing studies do not focus on predicting the intensity of depression in social media texts but rather only perform the binary classification of depression and moreover noisy data makes it difficult to predict the true depression in the social media *** study intends to begin by collecting relevant Tweets and generating a corpus of 210000 public tweets using Twitter public application programming interfaces(APIs).A strategy is devised to filter out only depression-related tweets by creating a list of relevant hashtags to reduce noise in the ***,an algorithm is developed to annotate the data into three depression classes:‘Mild,’‘Moderate,’and‘Severe,’based on International Classification of Diseases-10(ICD-10)depression diagnostic *** baseline classifiers are applied to the annotated dataset to get a preliminary idea of classification performance on the *** FastText-based model is applied and fine-tuned with different preprocessing techniques and hyperparameter tuning to produce the tuned model,which significantly increases the depression classification performance to an 84%F1 score and 90%accuracy compared to ***,a FastText-based weighted soft voting ensemble(WSVE)is proposed to boost the model’s performance by combining several other classifiers and assigning weights to individual models according to their individual *** proposed WSVE outperformed all baselines as well as FastText alone,with an F1 of 89%,5%higher than FastText alone,and an accuracy of 93%,3%higher than FastText *** proposed model better captures the contextual features of the relatively small sample class and aids in the detection of

关键词： depression classification deep learning FastText machine learning

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Truly optimal semi-active damping to control free vibration of a single degree of freedom system

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Theoretical & Applied Mechanics Letters 2024年第2期14卷 142-145页

作者： Viet Duc la Ngoc Tuan Nguyen Institute of Mechanics Vietnam Academy of Science and TechnologyHanoi 10000Vietnam Graduate University of Science and Technology Vietnam Academy of Science and TechnologyHanoi 10000Vietnam

This paper studies a single degree of freedom system under free vibration and controlled by a general semiactive damping.A general integral of squared error is considered as the performance index.A one-time switching damping controller is proposed and *** pontryagin maximum principle is used to prove that no other form of semi-active damping can provide the better performance than the proposed one-time switching damping.

关键词： Analytical optimization Quadratic integral Lyapunov equation Pontryagin maximum principle

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Hydroxyapatite composites with carbon allotropes:Preparation,properties,and applications

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Particuology 2024年第5期88卷 239-265页

作者： Boris I.Kharisov Oxana V.Kharissova Lucy T.González Yolanda Peña Méndez Igor E.Uflyand Idalia Gómez de la Fuente Universidad Autónoma de Nuevo León Ave.UniversidadCiudad UniversitariaSan Nicolás de los GarzaNuevo León 66455Mexico Tecnologico de Monterrey Escuela de Ingeniería y CienciasMonterreyNuevo Leon 64890Mexico department of Chemistry Southern Federal UniversityRostov-on-DonRussia

Hydroxyapatite(HA)and its composites with inorganic additives,dopants,and polymers is a rapidly developing branch in the materials *** particular,carbon allotropes are widely used in these composites being widely applied for medical *** a gap of insufficient generalization of recent achievements in the field of the HA/Carbon composites,in this review we present the state of the art of the field of HA composites and hybrids with classic carbon allotropes and *** composites are known for carbon nanotubes,nanofibers,graphene and its oxidized forms,as well as,in a lesser grade,for graphite,fullerenes,nanodiamonds,carbon nanofoams,*** composites can be fabricated by a variety of classic and less-common methods,such as co-precipitation(with or without ultrasonic treatment),CVD,hot isostatic pressing,hydrothermal,spark plasma sintering,biomimetic mineralization,thermal and plasma spray,electrochemical and electrophoretic deposition,self-assembling,3D printing,electrospinning,and lyophilisation,among *** of various synthesis techniques can be also carried out for composite *** or synthetic HA can be used as it is for further interaction with carbon allotropes or it can be first prepared and then reacted with carbon counterpart;similarly,carbon allotropes can be introduced into the interaction with HA directly or they can be first synthesized,in particular from *** biocompatible composites can be produced in the form of coatings,powders,and scaffolds and can additionally contain quantitative amounts of third phases,frequently natural or synthetic *** these composites,especially with O-containing functionalizing groups,HA disadvantages could be considerably decreased with simultaneous enhancement of mechanical properties,becoming similar to human bone,chemical stability and biocompatibility,as well as possessing antibacterial ***→G reduction and higher HA decoration were obs

关键词： Hydroxyapatite Carbon nanotubes Graphene Quantum dots Fullerenes Nanodiamonds

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The first record of dermochelyid turtles in the Eocene of Tierra del Fuego:new insights on the evolution of the Weddellian faunas

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Advances in Polar Science 2024年第1期35卷 63-77页

作者： Paula BONA Juliana STERLI Marcelo Saúl de la FUENTE Eduardo OLIVERO Marta S.FERNÁNdeZ Marcelo REGUERO División Paleontología Vertebrados Museo de La Plata-Anexo IIFacultad de Ciencias Naturales y MuseoUniversidad Nacional de La PlataLa Plata B1900FWAArgentina Consejo Nacional de Investigaciones Científicas y Técnicas(CONICET) Ciudad Autónoma de Buenos Aires C1425FQBArgentina Museo Paleontológico Egidio Feruglio Trelew U9100Argentina Instituto de Evolución Ecología Histórica y Ambiente-CONICETSan Rafael CP5600Argentina Centro Austral de Investigaciones Científicas-CONICET Universidad Nacional de Tierra del FuegoUshuaia CP 9410Argentina División Paleontología Vertebrados Museo de La PlataUniversidad Nacional de La PlataLa Plata B1900FWAArgentina

The Antarctic Paleogene marine fossil record has been the key to reconstructing the evolution of the Weddellian Sea and final dismemberment of Southern *** this context,Eocene marine vertebrates from Seymour(Marambio)Island have provided valuable *** present the first Eocene record of marine reptiles from the southern Atlantic Coast of South *** corresponds to several postcranial turtle remains represented by a proximal end of the right humerus,three caudal and one thoracic vertebrae,a fragment of the left pubis,and ten ossicles of the dorsal carapace,coming from the Leticia Formation(late-mid Eocene)at Cabo Tiburones,Tierra del Fuego,*** materials show severalfeatures such as the size and general morphology of the humerus and vertebrae,and the presence of relatively small,irregular,smooth,and unkeeled ossicles,which allow us to assign them to dermochelyidae *** are a cosmopolitan group ofcryptodiran turtles,registered from the late Cretaceous up to the recent,with some physiological-biological peculiarities(e.g.,endothermy and an exclusive jellyfish-based diet)and characterized by the presence of an osseous carapace formed by *** new finding from the Leticia Formation is an addition to the scarce and extremely fragmentary record of Eocene dermochelyids from the southern seas like those from the la Meseta and Submeseta formations(Antarctica)and the Waihao and Burnside formations(New Zealand).This new information allows us to discuss the presence of these turtles in such high latitudes in the past and its implication in the evolution of the Weddellian fauna.

关键词： marine reptiles sea turtles dermochelyidae Paleogene la Meseta Formation Submeseta Formation Leticia Formation

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Weight gain after 35 years of age is associated with increased breast cancer risk: findings from a large prospective cohort study

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Cancer Biology & Medicine 2024年第8期21卷 651-655页

作者： Katherine de la Torre Woo-Kyoung Shin Hwi-Won Lee Dan Huang Sukhong Min Aesun Shin Wonshik Han Daehee Kang department of Preventive Medicine Seoul National University College of MedicineSeoul 03080Republic of Korea department of Biomedical Sciences Seoul National University Graduate SchoolSeoul 03080Republic of Korea Division of Food and Pharmaceutical Technology Mokwon UniversityDaejeon 35349Republic of Korea Integrated Major in Innovative Medical Science Seoul National University Graduate SchoolSeoul 03080Republic of Korea Cancer Research Institute Seoul National UniversitySeoul 03080Republic of Korea department of Surgery Seoul National University College of MedicineSeoul 03080Republic of Korea Biomedical Research Institute Seoul National University HospitalSeoul 03080Republicof Korea

Adiposity affects lifetime estrogen exposure,which is a key factor in breast ***,adiposity effects,often assessed as the body mass index(BMI),on pre-and post-menopausal breast cancer risk are *** weight gain may reflect body fat mass accumulation during adulthood better than the BMI,potentially representing age-related metabolic changes.

关键词： breast cancer assessed

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Low-power SiPM readout BETA ASIC for space applications

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Nuclear Science and Techniques 2024年第3期35卷 153-169页

作者： Anand Sanmukh Sergio Gómez Albert Comerma Joan Mauricio Rafel Manera Andreu Sanuy Daniel Guberman Roger Catala Albert Espinya Marina Orta Oscar de la Torre David Gascon departament de Física Quàntica i Astrofísica(FQA) Institut de Ciències del Cosmos(ICCUB)Universitat de Barcelona(UB)08028 BarcelonaSpain Institut d’Estudis Espacials de Catalunya(IEEC) 08034 BarcelonaSpain Electronics department Serra Hunter fellow at Polytechnic University of Catalonia(UPC)08019 BarcelonaSpain

The BETA application-specific integrated circuit(ASIC)is a fully programmable chip designed to amplify,shape and digitize the signal of up to 64 Silicon photomultiplier(SiPM)channels,with a power consumption of approximately~1 mW/*** to its dual-path gain,the BETA chip is capable of resolving single photoelectrons(phes)with a signal-to-noise ratio(SNR)>5 while simultaneously achieving a dynamic range of~4000 ***,BETA can provide a cost-effective solution for the readout of SiPMs in space missions and other applications with a maximum rate below 10 *** this study,we describe the key characteristics of the BETA ASIC and present an evaluation of the performance of its 16-channel version,which is implemented using 130 nm *** ASIC also contains two discriminators that can provide trigger signals with a time jitter down to 400 ps FWHM for 10 *** linearity error of the charge gain measurement was less than 2%for a dynamic range as large as 15 bits.

关键词： Radiation detectors Silicon photomultipliers Photon sensors Front-end electronics Mixed-mode ASICs Space technology

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