Regression - Science topic

Lexical borrowing can be looked at as a vital sign that a certain language or variety of a language is lively and progressive, rather than spiritless and regressive. Masquerading under the guise of colloquialism and subscribing to the view that both interlingual and intralingual lexical borrowing can be seen as a linguistic zone of contact, this pa...

Despite the adverse effects of late spring frost on the ecological and economic impact on agriculture, the management of these events are poorly investigated. Therefore, the grounded theory was used for extracting the livelihood stabilization model of orchardists on the shores of Lake Urmia against late spring frosts. The statistical population of...

As far as the aerodynamic characterization of a flying vehicle is concerned, flight testing is probably the most accurate approach as it perfectly resembles the real flight environment. Flight data are obtained by tracking the vehicle via radars if modifying the vehicle design is not recommended/attainable. In the open literature, different techniq...

Spontaneous regression of an arteriovenous malformation (AVM) is a rare condition observed in 0.3%-1.3% of patients with AVMs and is most likely caused by hemorrhagic events. The regression of an unruptured AVM is rarer than that of a ruptured AVM. Moreover, due to its low frequency of occurrence, the etiology and natural course of spontaneous regr...

Graph-based machine learning, encompassing Graph Edit Distances (GEDs), Graph Kernels, and Graph Neural Networks (GNNs), offers extensive capabilities and exciting potential. While each model possesses unique strengths for graph challenges, interrelations between their underlying spaces remain under-explored. In this paper, we introduce a novel fra...

Online reviews are a significant part of decision-making processes of customers and organizations. Varying user rating behaviors and lack of consistency between ratings and expressed user opinion in reviews have been a subject of recent studies. This paper provides insights into forms of bias affecting users' evaluations in urban destination review...

Low cetane number fuels increase the probability of misfire in diesel engines. Utilizing an ignition assistant, along with a reliable engine-control system can enhance combustion and mitigate misfire. Such a control system requires significant pressure data for training the controller software. For engines operating with low cetane number fuel over...

The mentalization approach is based on a model for understanding mental processes, which is a further development of classical psychoanalytic theory models. Even though the roots of the mentalization concept can be located in psychoanalysis, it does not use any psychoanalytic treatment technique in the classical sense. This becomes clear about diff...

The article presents an experimental study of the determination of rational parameters values between racks is determined disks, the vertical load on disk, translational speed of qualitative indicators of the unit. Rational values of size of disks and operating modes of a disk skating rink defined the use of a method of mathematical planning of mul...

This paper aims to investigate the influence of ecological translation theory on university English translation teaching, constructs a regression prediction model prediction result evaluation index on the basis of a regression model, uses the regression prediction model to analyze the data of classroom percentage in the process of university Englis...

Рассматривается реакция береговой зоны на подъем уровня моря. На низменной прибрежной равнине образуется лагуна, на подводном береговом склоне в это же время происходит выработка профиля равновесия, что сопровождается активным размывом. Данное положение позволяет с других позиций рассмотреть кривую колебаний уровня Каспия в конце плейстоцена и позв...

Studies in literature argue that technological innovation is a crucial component that could provide an enduring solution to the effects of climate change. However, we argue in this study that technology-driven climate solutions may not be sustainable in the absence of robust economic freedom, particularly in Africa where there are manifestly weak g...

Molecular solubility is among the key properties that determine the clinical performance of a drug candidate because poor molecular solubility often indicates inadequate bioavailability. Using the CombiSolv-Exp database, we test several models (Gaussian process regression, decision trees, k-nearest neighbors) for hydration free energies by integrat...

A probabilistic framework is used to learn data-driven corrections of the baseline k−ω SST turbulence model for a selected flow classes, including channel flow, jet flow, and separated flows. Specifically, we use a Bayesian sparse symbolic regression algorithm, which delivers explicit analytical expressions for the correction terms. The data-driven...

The purpose of this study is to examine Capital Market Knowledge, Motivation, Return on Investment, and Risk affect investment interest. The sampling technique used is purposive sampling. In this study, the population used was 200 millennial generation respondents such as students or business people who were born in 1982-2003 in the city of Medan....

Background: Elderly abuse in form of neglect and disrespect has been an important risk factor affecting the mental well-being of elderly. This study estimated prevalence of elderly abuse, its association with their mental well-being and associated sociodemographic factors. Aims/Objectives: To determine the prevalence of the Elderly abuse in the Stu...

Loneliness, little studied in Nursing Homes (NHs), can affect physical and mental health. We aimed to analyze the factors associated with overall, social, and emotional loneliness in 65 residents of 5 NHs from Central Catalonia (Spain), and to verify its prevalence. The sample consisted of 81.5% women with a mean age of 84±7.13 years. The cross-sec...

p>Meteorological and electrical measurements using predictive computational techniques have been used in the analysis of photovoltaic system operation and maintenance. International standards establish general and no standardized criteria on the quality control and validation of these measurements. In the present work, a methodology has been develo...

India is a social and economic country that values grape growth. Many factors have contributed to the decline in grape quality over the past few years. The diseases that affect grapes are one of the major culprits. In traditional farming, specialists are hired to do a meticulous, labor-intensive, lengthy, and potentially error-prone physical inspec...

This study examines the influence of various factors on the branding process of Turkistan city and its impact on tourism development. Through a systematic analysis of relevant literature, the study aims to provide a foundation for urban branding by exploring perspectives, approaches, variables, methods, and related concepts. The analysis focuses on...

Residential buildings, the “last mile” sector in the global decarbonization, have become the most significant uncertain factor hindering carbon neutrality with increasing household energy demand. To track the operational carbon in buildings, this study investigates the carbon Kuznets curve (CKC) and the corresponding decoupling status of residentia...

The characteristic features of engineering products are revealed. Average industry performance indicators of mechanical engineering enterprises in Ukraine were formed. The competitiveness of mechanical engineering enterprises was studied. The integral indicator of the competitiveness of mechanical engineering enterprises in Ukraine was evaluated. I...

Control charts are powerful tools to observe the presentation of the manufacturing process. Mostly, when the data in industries come from the process may follow non-normal or unknown distributions. So, the distribution-free control charts are useful in practice when the possibility model of the process productivity is unknown. In such situations, t...

Financial management crises all over the world have demonstrated the need for risk management techniques for businesses seeking to maintain shareholder and consumer support. The purpose of this study is to assess the impact of risk management on the financial performance of commercial banks in the Western Balkans (WB) before and following COVID-19...

East Java Province is geographically close to the Eurasian and Indo-Australian Plate subduction zones, resulting in frequent earthquakes East Java Province has a high population density, so it is very risky if disaster occurs. One preventive solution to reduce this impact is estimating damage when an earthquake occurs. The purpose of this study was...

Spontaneous tumour regression in patients after high dose therapy and autologous stem cell transplantation or patients with standard therapy is accompanied with the presence of high titers autoantibodies against carbonic anhydrase I (CA I). The concomitant presence of aplastic anaemia-like syndrome in these patients points to parallel bone marrow...

Community Based Health Insurance (CBHI) is a form of micro health insurance, which is a health insurance targeting low-income people. The specific feature of CBHI is the community involvement in driving its setup and in its management. Traditional CBHI models are small, voluntary, and often include the pooling of health risks and funds within a com...

Introduction Following transcallosal surgery for tumour resection, the formation of convexity or interhemispheric subdural cerebrospinal fluid collections may lead to clinical deterioration and may influence decision-making with regards to additional interventions. The aim of this study was to determine the incidence, risk factors, and management o...

Tuberculosis is an infectious disease and one of the world's top 10 highest causes of mortality in Indonesia. Based on this fact, it is necessary to study what factors affect number of tuberculosis cases. The number of tuberculosis cases as dependent variable is a count data that generally analyzed using Poisson regression. However, equidispersion...

As society requires a deeper understanding and demand for the actual abilities of students in higher education institutions, traditional assessment tests no longer meet the current needs. This paper first divides assessment techniques into two main categories from an application perspective: assessment of student learning performance and in-depth c...

Insurance purchase and organization participation in risk management is of great practical significance for stabilizing agricultural production and household income. The aims of this study were to analyze farm households’ choices of insurance purchase and organization participation, and their effects on crop revenue and its higher-order moments usi...

Locating tables in document images is the first step to extracting table information, and high location precision is required. The dominant approach of table detection is based on an object detection algorithm, and the detector defines the prediction task as a regression problem, which inevitably leads to positioning errors. To address this issue,...

Background Machine learning (ML) approaches are a crucial component of modern data analysis in many fields, including epidemiology and medicine. Nonlinear ML methods often achieve accurate predictions, for instance, in personalized medicine, as they are capable of modeling complex relationships between features and the target. Problematically, ML m...

Propomos apresentar algumas reflex˜oes sobre a pesquisa causal na Contabilidade, com destaque para o problema da Endogeneidade. Procuramos discutir, de forma introdut´oria, a importˆancia dos quase-experimentos, especificamente de técnicas que podem ser solu¸c˜oes vi´aveis para muitos projetos de pesquisa na ´area. Dentre essas t´ecnicas, destacamo...

Due to the competitive conditions created in the profession, auditing firms have realized the need to provide better quality services and lower prices to the market and because of the impact of fees on audit quality, the study of factors affecting the audit fee is of particular importance. The purpose of this study is to investigate the relationshi...

The viscous and thermal velocity slip coefficients of various monatomic gases are computed via the linearized classical Boltzmann equation, with ab initio potential, subject to Maxwell and Cercignani–Lampis boundary conditions. Both classical and quantum interatomic interactions are considered. Comparisons with hard sphere and Lennard–Jones potenti...

This study aimed to assess the reliability and agreement of automated head measurements using 3-dimensional (3D) photogrammetry in young children. Specifically, the study evaluated the agreement between manual and automated occipitofrontal circumference (OFC) measurements (n = 264) obtained from 3D images of 188 patients diagnosed with sagittal syn...

The origins of financial capability assessed at the country level can be traced back to the socio-economic and quality of life factors. However, the role of national culture should be considered equally important. Hence, differences in national culture are hypothesized to correlate with average financial capability levels at the country level. This...

Survival analysis is a statistical procedure in analyzing data with the response variable is time until an event occurs (time-to-event). In the last few years, many classification approaches have been developed in machine learning, but only a few considered the presence of time-to-event variable. Random Survival Forest and Survival Support Vector M...

Objectifs ❖ Assurer une veille des populations de Chiroptères sur les 399 gîtes considérés comme majeur en 2022, ❖ Définir régulièrement les priorités à donner pour le suivi et la conservation des gîtes majeurs selon l’évolution du contexte, ❖ Identifier les gîtes présents dans les sites Natura 2000 pour calibrer les missions confiées aux animateur...

Quantum neural networks hold significant promise for numerous applications, particularly as they can be executed on the current generation of quantum hardware. However, due to limited qubits or hardware noise, conducting large-scale experiments often requires significant resources. Moreover, the output of the model is susceptible to corruption by q...

We examine the effect of the Security and Exchange Commission’s (SEC) investigations into firms’ corporate social responsibility (CSR) performance. Adopting a staggered event study setting and analyzing all public and private SEC investigations into possible violations of federal securities laws, we find that firms reduce their investment in ESG-re...

The utilization of data mining techniques for the prompt prediction of academic success has gained significant importance in the current era. There is an increasing interest in utilizing these methodologies to forecast the academic performance of students, thereby facilitating educators to intervene and furnish suitable assistance when required. Th...

Do bigger legislatures lead to bigger government? We exploit a Brazilian reform that allocated the number of municipal council seats based on population thresholds in a regression discontinuity design. We find that larger councils have significantly higher public expenditures on social goods and legislative costs. Increased spending is partly finan...

This study examines the effect of climate change knowledge, anxiety, and experience on climate adaptation using survey data from 874 farmers in the Western North Region of Ghana. To present unbiased estimates, the instrumental variable regression technique was applied to control for endogeneity. Results indicated that climate change anxiety and kno...

It is difficult to analyze and anticipate the power output of Combined Cycle Power Plants (CCPPs) when considering operational thermal variables such as ambient pressure, vacuum, relative humidity, and temperature. Our data visualization study shows strong non-linearity in the experimental data. We observe that CCPP energy production increases line...

Purpose: The study aims to knowing the impact of applying electronic accounting (E-Accounting) as a modern field on the information security between its protection or violation. Theoretical framework: The main challenge facing the use of electronic accounting is the security of information in shade of switching databases in electronic form more tha...

Factor mixture modeling (FMM) has been widely adopted in health and behavioral sciences to examine unobserved population heterogeneity. Covariates are often included in FMM as predictors of the latent class membership via multinomial logistic regression to help understand the formation and characterization of population heterogeneity. However, inte...

This paper examines how regulatory, owner-specific, firm-specific and support factors influence participation in domestic trade by Kenyan firms owned by men and women with a view to informing policy action. Data from the 2016 survey on micro, small, and medium enterprises supported empirical estimations. Two models were estimated using the probit r...

Accurate estimation of tree stem form and merchantable volume is an important prerequisite for forest management and economic evaluation. A system of compatible taper-volume equations was constructed for estimating the upper stem diameter and merchantable volume of different larch species in northeast China using Larix olgensis (LO) and Larix kaemp...

Why do some, but not all oil-rich states provide generous welfare to their populations? Building on a case study of Oman in the 1960s and 1970s, we argue that anti-systemic subversive threats motivate ruling elites in oil states to use welfare as a tool of mass co-optation. We use the generalized synthetic control method and difference-in-differenc...

The study examined the effect of organiza onal learning on environmental adaptability. The study's specific objec ves were to assess the influence of organiza onal transforma onal leadership on environmental adaptability, to assess the effect of organiza onal empowerment on environmental adaptability, and to determine the effect of organiza onal cu...

Predicting financial distress has become one of the most important topics of the hour that has swept the accounting and financial field due to its significant correlation with the development of science and technology. The main objective of this paper is to predict financial distress based on the Gaussian Process Regression (GPR) and then compare t...

This study aims to evaluate mutual fund investment behavior in the context of the Nepalese mutual fund market. While there have been countless articles exploring the effects of different factors on mutual fund investment behavior of investors, no research has been found in the context of Nepal. The study intends to analyze the relationship of mutua...

Disturbances in the circadian activity rhythms (CARs) of inpatients in rehabilitation facilities delay the recovery of physical and mental functions. The purpose of this study is to elucidate the circadian activity rhythms of hospitalized patients in a rehabilitation facilitie using the synthetic periodic regression analysis, and investigate the re...

In the present study, two high-capacity experimental roller gin reclaimers, (a) a modified 3-saw cylinder stick machine (three-saw) and (b) a modified 2-saw cylinder gin stand feeder (700), were optimized with respect to reclaimer saw cylinder speed and carryover/seed ratio to minimize the seed and lint loss for both Pima and Upland cotton varietie...

Longitudinal multi-view omics data offer unique insights into the temporal dynamics of individual-level physiology that is instrumental to advancements in personalized healthcare. However, the common occurrence of incomplete view makes inference tasks difficult, and there is a lack of tailored methods for solving this critical issue. Here, we intro...

Purpose The link between sleep duration and lung cancer risk has been suggested by some epidemiological studies. This meta-analysis was performed to further understand this relationship. Methods MEDLINE and EMBASE entries up to December 2022 were searched for eligible publications. A random effects model was used to calculate pooled relative risks...

We present a novel approach to address the multi-agent sparse contextual linear bandit problem, in which the feature vectors have a high dimension d whereas the reward function depends on only a limited set of features - precisely s0 ≪ d. Furthermore, the learning follows under information-sharing constraints. The proposed method employs Lasso regr...

The development and availability of information technology and the possibility of deep integration of internal IT systems with external ones gives a powerful opportunity to analyze data online based on external data providers. Recently, machine learning algorithms play a significant role in predicting different processes. This research aims to appl...

Multi-cellular biomimetic models often comprise heterogenic geometries. Therefore, quantification of their mechanical properties—which is crucial for various biomedical applications—is a challenge. Due to its simplicity, linear fitting is traditionally used in analyzing force—displacement data of parallel compression measurements of multi-cellular...

Under the impact of the era of big data and public emergency, the blurring of family-work boundaries and the increasing burden of family responsibilities will pose a great challenge to employee resilience and family work balance, which in turn will affect employees’ work engagement. Therefore, based on the person-environment fit theory, this study...

Media and politicians widely debate the relationship between holidays and political participation, but research in the field is underdeveloped. To test the impact of holidays on election turnout, we use a natural experimental setting in general elections in Slovakia with respect to the presence of holidays near election day. More specifically, whil...

The modernization of the economy played a key role in the rhetoric and politics of the German Democratic Republic’s (GDR’s) ruling socialist party and state leadership. However, empirical evidence on its contribution to economic growth is lacking. We analyze the impact of technical progress, based on staff qualifications, on productivity in the dif...

Preference learning is an essential component in numerous applications, such as recommendation systems, decision-making processes, and personalized services. We propose here a novel approach to preference learning that interleaves Gaussian Processes (GP) and Robust Ordinal Regression (ROR). A Gaussian process gives a probability distribution on the...

Background There are various cross-sectional studies that concluded that vitamin D is associated with blood pressure, but randomized controlled studies have not yielded consistent conclusions. Considering many limitations indeed, our study aimed to examine whether concentrations of 25(OH)D are inversely associated with blood pressure in people with...

This work presents a comparative analysis of various machine learning (ML) methods for predicting item difficulty in English reading comprehension tests using text features extracted from item wordings. A wide range of ML algorithms are employed within both the supervised regression and the classification tasks, including regularization methods, su...

Interrupted time series (ITS) design is a quasi-experimental approach for evaluating the impact of an intervention in public health research using segmented linear regression (SLR) models. Usually, aggregated data across multiple time points before and after an intervention are compared to detect a change in intercept, slope, or both; however, the...

Background Relationships between stressful life events (SLEs) and health outcomes in people living with multiple sclerosis (plwMS), beyond relapse, are not well-established. We examined associations between SLEs and fatigue and symptoms of depression in plwMS. Methods 948 participants were queried whether they had experienced any of the 16 SLEs (H...