Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Academic Procrastination, Self-Regulated Learning and Learning Motivation

The research objective is to determined the relationship between academic procrastination with self-regulated learning and learning motivation in high school students. The research was carried out through a quantitative approach with a correlation design. The populations of this study were students of class XI at Senior High School Bojonegoro. The research sample used was class XI students at Senior High School 1 Kedungadem, Senior High School 1 Kepohbaru and Senior High School 1 Sugihwaras as many as 257 students taken through simple random sampling technique. Research data were collected through self-report techniques with academic procrastination scale, self-regulated learning scale and learning motivation scale. The three scales have been tested for validity and respectively have reliability coefficients of 0.917, 0.865, and 0.951. Data analysis was carried out through statistical methods using multiple correlation formulas. The results of analysis prove that there is a significant relationship between academic procrastination with self-regulated learning and learning motivation with a significance score. The results of this study can be used by guidance and counseling teachers as study material to deal with academic procrastination problems that occur among students.
SALINIDADE HÍDRICA, BIOFERTILIZANTE BOVINO E COBERTURA VEGETAL MORTA NA PRODUÇÃO DE MUDAS DE Talisia esculenta (A. ST.-HIL.) RADLK.)

Ha uma carencia de informacoes sobre formas de propagacao sexuada da pitombeira ( Talisia esculenta ), quanto ao seu desenvolvimento inicial em ambientes salinos. Neste sentido, objetivou-se avaliar o efeito da irrigacao com aguas salinas associada a aplicacao de biofertilizante bovino e cobertura vegetal morta em mudas de pitombeira. Adotou-se o delineamento experimental inteiramente casualizado, no esquema fatorial de 5 x 2 x 2, com 6 repeticoes. Foram estudadas cinco condutividades eletricas da agua de irrigacao (1;2;3;4 e 5 dS m -1 ) com e sem aplicacao de biofertilizante bovino e cobertura morta. Avaliaram-se: altura da planta, numero de folhas, diâmetro do caule, area foliar, taxa de crescimento absoluto e relativo de altura da planta, diâmetro de caule e area foliar, comprimento da raiz, massa da materia seca da raiz, caule, parte aerea e total e indice de qualidade de Dickson. Os dados obtidos foram avaliados mediante analise de variância pelo teste F em nivel de 0,05 e 0,01 de probabilidade e nos casos de significância, realizou-se analise de regressao. A irrigacao com agua salinas afeta a morfologia e a qualidade de mudas de pitombeira. O biofertilizante possui acao positiva na reducao dos efeitos salinos da agua de irrigacao nas mudas de pitombeira, enquanto que o uso de cobertura morta nao influenciou na qualidade de mudas de pitombeira.
ECG Smart Monitoring versus Implantable Loop Recorders for Atrial Fibrillation Detection after Cryptogenic Stroke—An Overview for Decision Making

Up to 20% of patients with ischemic stroke or transient ischemic attack have a prior history of known atrial fibrillation (AF). Additionally, unknown AF can be detected by different monitoring strategies in up to 23% of patients with cryptogenic or non-cardioembolic stroke. However, most studies had substantial gaps in monitoring time, especially early after the index event. Following this, AF rates would be higher if patients underwent continuous monitoring early after stroke, avoiding any gaps in monitoring. The few existing randomized studies focused on patients with cryptogenic stroke but did not focus otherwise specifically on prevention strategies in patients at high risk for AF (patients at higher age or with high CHA2DS2-VASC scores). Besides invasive implantable loop recorders (ILRs), external loop recorders (ELRs) and mobile cardiac outpatient telemetry (MCOT) are non-invasive tools that are commonly used for long-term ECG monitoring in cryptogenic-stroke patients in the ambulatory setting. The role of MCOT and hand-held devices within ECG smart monitoring in the detection of AF for the prevention of and after cryptogenic stroke is currently unclear. This intense review provides an overview of current evidence, techniques, and gaps in knowledge and aims to advise which patients benefit most from the current available devices.
Evaluation of Statistical Downscaling of North American Multimodel Ensemble Forecasts over the Western United States

AbstractThe skill of two statistical downscaled seasonal temperature and precipitation forecasts from the North American Multimodel Ensemble (NMME) was evaluated across the western United States at spatial scales relevant to local decision-making. Both statistical downscaling approaches, spatial disaggregation (SD) and bias correction spatial disaggregation (BCSD), exhibited similar correlative skill measures; however, the BCSD method showed superior tercile-based skill measures since it corrects for variance deflation in NMME ensemble averages. Geographic and seasonal variations in downscaled forecast skill revealed patterns across the complex topography of the western United States not evident using coarse-scale skill assessments, particularly in regions subject to inversions and variability in orographic precipitation ratios. Similarly, differences in the skill of cool-season temperature and precipitation forecasts issued when the fall El Nino–Southern Oscillation (ENSO) signal was strong versus ENSO-n.
Non-deterministic genotype-phenotype maps of biological self-assembly

In recent years large-scale studies of different genotype-phenotype (GP) maps, including those of RNA secondary structure, lattice proteins, and self-assembling Polyominoes, have revealed that these maps share structural properties. Such properties include skewed distributions of genotypes per phenotype, negative correlations between genotypic evolvability and robustness, positive correlations between phenotypic evolvability and robustness, and the fact that a majority of phenotypes can be reached from any genotype in just a few mutations. Traditionally this research has focused on deterministic GP maps, meaning that a single sequence maps to a single outcome. Here, by contrast, we consider non-deterministic GP maps, in which a single sequence can map to multiple outcomes. Most GP maps already contain such sequences, but these are typically classified as a single, undesirable phenotype for the reason that biological processes typically rely on robust transformation of sequences into biological structures and functions. For the same reason, however, non-deterministic phenotypes play an important role in diseases, and a deeper understanding of non-deterministic GP maps may therefore inform the study of their evolution. By redefining deterministic and non-deterministic Polyomino self-assembly phenotypes in terms of the pattern of possible interactions rather than the final structure we are able to calculate GP map properties for the non-deterministic part of the map, and find that they match those found in deterministic maps.
Applying computer vision techniques to depression symptomatology through eye blink patterns in university students

ABSTRACT Objective The increasing rate of depression among university students is a cause of great concern worldwide. With the recent growth in computer vision technology, eye movement features are proving beneficial in the assessment of depression owing to their non-invasiveness. Our objective was to determine the presence of depression through emotional elicitation by studying blink patterns in a student population. Method The blink data of 50 university students (26 males, 24 females) from different regions of the country within the age group of 21–26 years were collected using an experimental setup. Results Statistical tests on blink data revealed that blink rate changes with changes in emotion from joy to sadness or vice versa, irrespective of one’s depression status. Another explanation is that the blink rates of the healthy and depressed groups differed significantly during sad emotional states. The tests also indicated a half-closed eye state as a possible symptom of depression. Conclusions These findings suggest that the prevalence of mental health problems can be detected at an early stage by designing simple non-invasive procedures, such as blink pattern analysis driven by technology and expert advice, which will help prevent the further development of such illnesses. KEY POINTS What is already known about this topic: (1) Computer vision techniques can detect the face and eye, and eye aspect ratio (EAR) is calculated to determine eye blinks. (2) Blink rates vary with different emotions. (3) The Dass-21 scale can measure depression, anxiety and stress. What this topic adds: (1) Sufficient literature citing the importance of biomarkers in assessing depression is included. (2) Justification of emotional blink characteristics during sad and joy elicited emotions. (3) The significance of the half-closed eye state in the assessment of depression was demonstrated using statistical analysis.
Filamentary plasma eruptions in tokamaks

The nonlinear MHD ballooning model is exploited for two distinct studies: firstly, the interaction of multiple filamentary eruptions in magnetised plasmas in a slab geometry is investigated and secondly, this model is examined quantitatively against experimental observations of ELMs in MAST and JET-like geometries. The model consists of two differential equations which characterise the spatial and temporal evolution of the displacement: the first differential equation describes the displacement along the field line, the second differential equation is a two-dimensional nonlinear ballooning-like equation which is often second order in time, but can involve a fractional derivative in a tokamak geometry. Filaments always evolve independently in the linear regime and equally sized filaments evolve independently in the nonlinear regime. However, we find that filaments with varying heights interact with each other in the nonlinear regime: Smaller filaments are slowed down and eventually are completely suppressed by the larger filaments which grow faster due to the interaction. This mechanism is explained by the down-draft caused by the nonlinear drive of the larger filaments which pushes the smaller filaments downwards. To employ the second differential equation for a specific geometry one has to evaluate the coefficients of the equation which is non-trivial in a tokamak geometry as it involves field line averaging of slowly converging functions. The coefficients of a Type I ELMy equilibrium from MAST and a Type II ELMy JET-like equilibrium have been determined. In both cases the two coefficients of the nonlinear terms are negative which would imply imploding rather than exploding filaments. By changing the equilibrium the signs of these coefficients can be inverted. This suggests that either the nonlinear Ballooning model does not capture the behaviour of Type I and Type II ELMs, or that the calculation of the coefficients are too sensitive to a given equilibrium.
Gellan Gum/Alginate Microparticles as Drug Delivery Vehicles: DOE Production Optimization and Drug Delivery

Gellan gum is a biocompatible and easily accessible polysaccharide with excellent properties to produce microparticles as drug delivery systems. However, the production methods often fail in reproducibility, compromising the translational potential of such systems. In this work, the production of gellan gum-based microparticles was optimized using the coaxial air flow method, and an inexpensive and reproducible production method. A design of experiments was used to identify the main parameters that affect microparticle production and optimization, focusing on diameter and dispersibility. Airflow was the most significant factor for both parameters. Pump flow affected the diameter, while the gellan gum/alginate ratio affected dispersibility. Microparticles were revealed to be sensitive to pH with swelling, degradation, and encapsulation efficiency affected by pH. Using methylene blue as a model drug, higher encapsulation, and swelling indexes were obtained at pH 7.4, while a more pronounced release occurred at pH 6.5. Within PBs solutions, the microparticles endured up to two months. The microparticle release profiles were studied using well-known models, showing a Fickian-type release, but with no alteration by pH. The developed microparticles showed promising results as drug-delivery vehicles sensitive to pH.
Determinants of Training Need of the Pineapple Growers for Boosting Production in Hilly Areas of Sreemangal Upazila Under Moulvibazar District

Training is a tool to increase production both vertically and horizontally through enhanced skills of the farmers. The focus of the study was to determine and describe the training need of the pineapple growers in a hilly area of Sylhet region and explores the relationship between the selected characteristics of growers and training need. Data were collected from randomly selected 75 pineapple growers out of 228 of three unions namely Sreemangal, Ashidron, and Sindhurkhan of Sreemangal upazila under Moulvibazar district using a pre-tested interview schedule from 1 September to 2 October 2020. Through Focus Group Discussion (FGD) with the growers, a total of 12 different aspects of pineapple cultivation were identified as inadequately skilled for modern pineapple cultivation. For quantification of training need, each respondent was asked to answer the extent of training need against each of those aspects. Results revealed that most of the pineapple growers (58.7%) had medium training need while 29.3% had high and only 12.0% had low training need. The top five training need aspects of pineapple cultivation were appropriate amount and time of fertilizer application, modern method of insect–pest identification and control, soil moisture conservation technique, and preventive measure of fruit sunburn. Correlation analysis indicated that age (-0.272*), educational (-0.526**), annual income (-0.269*), experience of pineapple cultivation (-0.455**), knowledge about pineapple cultivation (-0.807**), training received (-0.558**), and use of information source (-0.331**) were found negatively significant with their training need. Extension service providers should come forward to facilitate access of need-based information and skills to the pineapple growers or at least do their best alternative based on resource allocation for improvement of yield and production of pineapple in the hilly areas of Sylhet region.
Gut microbiota: a newly identified environmental factor in systemic lupus erythematosus

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that predominantly affects women of childbearing age and is characterized by the damage to multiple target organs. The pathogenesis of SLE is complex, and its etiology mainly involves genetic and environmental factors. At present, there is still a lack of effective means to cure SLE. In recent years, growing evidence has shown that gut microbiota, as an environmental factor, triggers autoimmunity through potential mechanisms including translocation and molecular mimicry, leads to immune dysregulation, and contributes to the development of SLE. Dietary intervention, drug therapy, probiotics supplement, fecal microbiome transplantation and other ways to modulate gut microbiota appear to be a potential treatment for SLE. In this review, the dysbiosis of gut microbiota in SLE, potential mechanisms linking gut microbiota and SLE, and immune dysregulation associated with gut microbiota in SLE are summarized.
Special and structured matrices in max-plus algebra

The aim of this thesis is to present efficient (strongly polynomial) methods and algorithms for problems in max­algebra when certain matrices have special entries or are structured. First, we describe all solutions to a one-sided parametrised system. Next, we consider special cases of two-sided systems of equations/inequalities. Usually, we describe a set of generators of all solutions but sometimes we are satisfied with finding a non-trivial solution or being able to say something meaningful about a non-trivial solution should it exist. We look at special cases of the generalised eigenproblem, describing the full spectrum usually. Finally, we prove some results on 2x2 matrix roots and generalise these results to a class of nxn matrices. Main results include: a description of all solutions to the two-dimensional generalised eigenproblem; observations about a non-trivial solution (should it exist) to essential/minimally active two-sided systems of equations; the full spectrum of the generalised eigenproblem when one of the matrices is an outer-product; the unique candidate for the generalised eigenproblem when the difference of two matrices is symmetric and has a saddle point and finally we explicitly say when a 2x2 matrix has a kth root for a fixed positive integer k.
Inclusive Jet Measurements in Longitudinally Polarized Proton-Proton Collisions at STAR

Jet production in high energy proton-proton ($p+p$) collisions is dominated by hard QCD subprocesses such as gluon-gluon and quark-gluon scatterings. Therefore $p+p$ is an effective tool to probe the internal distribution of gluons in the proton. The STAR Collaboration at the Relativistic Heavy Ion Collider (RHIC) is using longitudinally polarized $p+p$ collisions at the center of mass energies, $\sqrt{s} = $ 200 and 510 GeV, to study the cross-section and double spin asymmetries, $A_{LL}$, of inclusive jet and di-jet production. The measurements at $\sqrt{s} = $ 200 GeV showed that the jet cross-sections are well described by the next-to-leading-order perturbative QCD calculations after underlying event and hadronization corrections. The previous 2009 $\sqrt{s} = $ 200 GeV inclusive jet asymmetry $A_{LL}$ measurement at pseudo-rapidity $|\eta| 0.05$. The inclusive jet $A_{LL}$ measurement at $\sqrt{s} = $ 510 GeV allows to explore the gluon polarization to smaller $x \sim 0.02$. The 2012 inclusive jet $A_{LL}$ and cross-section measurements at $\sqrt{s} =$ 510 GeV, the techniques used in the jet analysis including underlying event correction, and future perspectives related to jet measurements at STAR will be presented.
Stability analysis of linear distributed order fractional systems with distributed delays

Abstract In the present work we study linear systems with distributed delays and distributed order fractional derivatives based on Caputo type single fractional derivatives, with respect to a nonnegative density function. For the initial problem of this kind of systems, existence, uniqueness and a priory estimate of the solution are proved. As an application of the obtained results, we establish sufficient conditions for global asymptotic stability of the zero solution of the investigated types of systems.
Fuzzy soft attribute correlation coefficient and application to data of human trafficking

In this paper, we introduce fuzzy soft attribute correlation coefficient and apply it to find the correlation between vulnerability government response of various countries related to human trafficking based on six regions with the help of data from “The Global Slavery Index 2016”. Comparison of fuzzy soft attribute correlation coefficients is done with the conventional analysis of sociology by calculating Pearson’s zero-order product-moment correlations. Along with these, some fundamental concepts of mathematical statistics are developed with respect to fuzzy soft set.
THE EFFECTIVENESS OF DIGITAL LITERATURE-BASED LEARNING VIDEO ON IMPROVING STUDENT'S DIGITAL LITERATURE SKILL

This study aims to determine the effectiveness of learning videos on improving the digital literacy skills of Accounting Education students between control and experimental classes. This research is quasi-experimental research with a quantitative approach. The quasi-experimental type chosen was the design of the control group that was not treated with the same pre-treatment and post-treatment samples. The study was conducted for six months. The population of this study was 310 students of Accounting Education FE UNY (8 classes) with a sample of 81 students (2 classes). The sampling technique used is purposive sampling. Research data collection techniques use questionnaires and documentation. The validity of the instrument is proved by the analysis of exploratory factors, while its reliability is estimated by the Alpha formula. Data analysis techniques use independent sample t test hypothesis test. The results showed that there was a significant difference in video effectiveness in improving students' digital literacy skills between control and experimental classes with a calculation of 2,881 and a Sig. score of 0.005. The experimental class had a higher average score than the control class with a difference of 5,375. This means that the provision of learning video treatment can improve students' digital literacy skills in the experimental group.
On the nonlinearity of idempotent quadratic functions and the weight distribution of subcodes of Reed-Muller codes

The Walsh transform (cid:98) Q of a quadratic function Q : F 2 n → F 2 satisﬁes | (cid:98) Q ( b ) | ∈ { 0 , 2 n + s 2 } for all b ∈ F 2 n , where 0 ≤ s ≤ n − 1 is an integer depending on Q . In this article, we investigate two classes of such quadratic Boolean functions which attracted a lot of research interest. For arbitrary integers n we determine the distribution of the parameter s for both of the classes, C 1 = { Q ( x ) = Tr n ( (cid:80) (cid:98) ( n − 1) / 2 (cid:99) i =1 a i x 2 i +1 ) : a i ∈ F 2 } , and the larger class C 2 , deﬁned for even n as C 2 = { Q ( x ) = Tr n ( (cid:80) ( n/ 2) − 1 i =1 a i x 2 i +1 ) + Tr n / 2 ( a n/ 2 x 2 n/ 2 +1 ) : a i ∈ F 2 } . Our results have two main consequences. We obtain the distribution of the nonlinearity for the rotation symmetric quadratic Boolean functions, which have been attracting considerable attention recently. We also present the complete weight distribution of the corresponding subcodes of the second order Reed-Muller codes.
SecTCN: Privacy-Preserving Short-Term Residential Electrical Load Forecasting

Short-term residential electrical load forecasting (SRLF) as a cloud service usually requires fine-grained electricity consumption data as input. However, those data are closely related to users' lifestyles, thus bringing about privacy concerns. We adapt homomorphic encryption into temporal convolutional networks (TCN) to yield an efficient design for SRLF, named SecTCN, which preserves privacy for both user data and model parameters. First, a homomorphic-encryption-friendly model is proposed through novel Ticktock approximations. Second, secure load forecasting over the encrypted data is executed by cloud–edge collaboration. Third, a novel data representation and related ciphertext computations are proposed to accelerate forecasting, and a position shuffler is devised to protect models from equation-solving attacks. Experimental evaluations demonstrate that SecTCN reduces a root-mean-squared error by 21.75 averagely and a mean absolute percentage error by 4.22%$\text{ to } $22.16%, compared to unencrypted long short-term memory (LSTM) and TCN. On average, SecTCN requires only 1.10 s to make forecasting with 10.27 MB communication traffic.
65.31 Theoretical probabilities for a cuboidal die

Clearly, the double roots of (1) will only occur if a is irrational, but it is of interest to seek solutions of (1) for integer values of a and it is in this case that the bounds given above prove to be sufficient. An interesting result to notice is that, as the value of a increases (r also increases) by approximately In then there is a corresponding addition of four further roots to equation (1). If a is an integer, this effect is noticed by the addition of 6 or 7 to the value of a.