Miracle-dz/UniFAR-FTUs huggingface dataset:
Gaming at the Workplace : An Investigation of the Relationship between Videogames and Occupational Health in the Age of Gaming Disorder

Työn aihe ja tarkoitus Valtaosa suomalaisista pelaa säännöllisesti erilaisia videopelejä, kuten konsoli-, mobiili- ja pöytäkonepelejä. Pelaamisen, terveyden ja työelämän väliset jännitteet ovat nousseet pinnalle etenkin Maailman terveysjärjestön (WHO) hiljattain käyttöön ottaman diagnoosin myötä: ongelmallisesta videopelaamisesta on voinut saada mielenterveydenhäiriön diagnoosin vuodesta 2022 alkaen. Hankkeen tavoitteena oli ymmärtää, miten näitä pelaamiseen liittyviä terveysongelmia voidaan tunnistaa ja mikä on näiden vaikutus työelämään. Aineisto ja metodi Hankkeessa kerättiin yli 16-vuotiailta vastaajilta kyselyaineisto (n=8217), joka edustaa Suomea iän, sukupuolen ja asuinpaikan mukaan. Tutkittavaksi erotettiin edustava työväestö (n=3921), mikä sisältää työssäkäyvien lisäksi työttömiä ja lomautettuja. Tuhat vastaajaa täytti kyselyn sekä 2021 että 2022. Lisäksi haastattelimme kuusi videopelaamisen vuoksi ammattilaisen tukea hakenutta työikäistä pelaajaa ja 10 yli neljä tuntia päivässä pelaavaa työntekijää. Yhdeksän heistä haastateltiin sekä 2021 että 2022. Lopuksi haastateltiin kuusi terveysalan ammattilaista ja 10 HR- tai esihenkilöedustajaa. Kaikki päätutkimukset julkaistiin rekisteröityinä tutkimusraportteina (RR), joiden tutkimuskysymykset, hypoteesit ja menetelmät vertaisarvioitiin etukäteen. Tutkimukset julkaistiin avoimesti, vertaisarviot ovat avoimia ja kaikki aineistot tallennettiin avoimeen jatkokäyttöön Tietoarkistoon. Keskeiset tulokset Ongelmallisen videopelaamisen esiintyvyys Suomen työväestössä oli kyselymittarien mukaan 0.4–7.5%. Monet erot tunnistettujen ongelmaryhmien välillä kuitenkin viittaavat siihen, että nykyiset mittarit ja mallit eivät ole luotettavia. Etenkin kliinisiä validaatiotutkimuksia tarvitaan luotettavan epidemiologisen tiedon tuottamiseen tulevaisuudessa. Samana aikaan laadullinen analyysi todentaa, miten yksilötasolla ongelmat voivat olla suuria. Pelaamiseen liittyvät ongelmat näyttävät olevan osa laajoja ongelmien verkkoja, jotka rakentuvat nuorena ja voivat johtaa syrjäytymiseen. Johtopäätökset Tulosten valossa pelaamisella ei toistaiseksi ole selkeitä vaikutuksia työterveyteen populaatiotasolla. Yksilötasolla syrjäytyminen, terveysongelmat ja niihin liittyvä pelaaminen voi kuitenkin katkaista koulutus- ja urakehityksen, minkä vuoksi työnantajien tulisi tehdä yhteistyötä tukipalveluja tarjoavien tahojen kanssa näiden henkilöiden auttamiseksi työelämään. Yleisesti ottaen työntekijöiden pelaamiseen tulisi suhtautua tavanomaisena harrastuksena, joka parhaimmillaan tasapainottaa ja tukee yksilön elämänkokonaisuutta.
The Forecast of Beijing Habitat Quality Dynamics Considering the Government Land Use Planning and the City’s Spatial Heterogeneity

The evaluation of the habitat quality dynamics is important to conservation management and sustainable development. Forecasting future habitat quality changes depends on reliable projections of future land uses that align with government’s future land-use planning. Additionally, the spatial heterogeneity problem cannot be dismissed in spatial modelling and the uneven distribution of urban development should be considered in the land use simulation and prediction. To address these issues, we established a bidirectional framework: from the top-down side, we impose land use and land cover (LULC) quantity constraints considering the goals of government land use planning; from the bottom-up side, we adopt zoning methods to consider the spatial heterogeneity of land use transition rules for improving the accuracy of land use prediction. We applied this approach to project habitat quality of Beijing in 2035 under different development scenarios. Firstly, we constructed multiple future scenarios (natural development, ND; economic development, ED; ecological protection, EP; livable city, LC) and computed the quantities of various land uses under those scenarios. Secondly, we addressed the spatial heterogeneity issue by adopting the zoning methods to improve the land use simulation accuracy of the PLUS model. Finally, based on the predicted LULC data, we analyzed the future habitat quality patterns in Beijing under different scenarios using InVEST model. We found that the zoning method can improve the simulation accuracy of LULC. Furthermore, significant spatial differences can be found in the habitat quality under different land use scenarios, which represent various government land use strategies. Among the four scenarios, the LC scenario is the most conducive one due to its ability to achieve a good balance between economic and ecological benefits. This study provides evidence for justifying the feasibility of Beijing’s development plan to become a livable city.
Relative Effectiveness of the Cell-Based Quadrivalent Influenza Vaccine in Preventing Cardiorespiratory Hospitalizations in Adults Aged 18–64 Years During the 2019–2020 US Influenza Season

Abstract Background The mammalian cell-based quadrivalent inactivated influenza vaccine (IIV4c) has advantages over egg-based quadrivalent inactivated influenza vaccine (IIV4e), as production using cell-derived candidate viruses eliminates the opportunity for egg adaptation. This study estimated the relative vaccine effectiveness (rVE) of IIV4c versus IIV4e in preventing cardiorespiratory hospitalizations during the 2019–2020 US influenza season. Methods We conducted a retrospective cohort study using electronic medical records linked to claims data of US individuals aged 18–64 years. We assessed rVE against cardiorespiratory hospitalizations and against subcategories of this outcome, including influenza, pneumonia, myocardial infarction and ischemic stroke, and respiratory hospitalizations. We used a doubly robust inverse probability of treatment weighting and logistic regression model to obtain odds ratios (ORs; odds of outcome among IIV4c recipients/odds of outcome among IIV4e recipients) adjusted for age, sex, race, ethnicity, geographic region, vaccination week, health status, frailty, and healthcare resource utilization. rVE was calculated as 100(1 − ORadjusted). Results In total, 1 491 097 individuals (25.2%) received IIV4c, and 4 414 758 (74.8%) received IIV4e. IIV4c was associated with lower odds of cardiorespiratory (rVE, 2.5% [95% confidence interval, 0.9%–4.1%]), respiratory (3.7% [1.5%–5.8%]), and influenza (9.3% [0.4%–17.3%]) hospitalizations among adults 18–64 years of age. No difference was observed for the other outcomes. Conclusions This real-world study conducted for the 2019–2020 season demonstrated that vaccination with IIV4c was associated with fewer cardiorespiratory, respiratory, and influenza hospitalizations compared with IIV4e.
Selection Bias in Nonprobability Surveys: A Causal Inference Approach

Title of dissertation: SELECTION BIAS IN NONPROBABILITY SURVEYS: A CAUSAL INFERENCE APPROACH Andrew William Mercer Doctor of Philosophy, 2018 Dissertation directed by: Professor Frauke Kreuter Joint Program in Survey Methodology Many in the survey research community have expressed concern at the growing popularity of nonprobability surveys. The absence of random selection prompts justified concerns about self-selection producing biased results and means that traditional, design-based estimation is inappropriate. The Total Survey Error (TSE) paradigm’s designations of selection bias as attributable to undercoverage or nonresponse are not especially helpful for nonprobability surveys as they are based on an implicit assumption that selection and inferences rely on randomization. This dissertation proposes an alternative classification for sources of selection bias for nonprobability surveys based on principles borrowed from the field of causal inference. The proposed typology describes selection bias in terms of the three conditions that are required for a statistical model to correct or explain systematic differences between a realized sample and the target population: exchangeability, positivity, and composition. We describe the parallels between causal and survey inference and explain how these three sources of bias operate in both probability and nonprobability survey samples. We then provide a critical review of current practices in nonprobability data collection and estimation viewed through the lens of the causal bias framework. Next, we show how net selection bias can be decomposed into separate additive components associated with exchangeability, positivity, and composition respectively. Using 10 parallel nonprobability surveys from different sources, we estimate these components for six measures of civic engagement using the 2013 Current Population Survey Civic Engagement Supplement as a reference sample. We find that a large majority of the bias can be attributed to a lack of exchangeability. Finally, using the same six measures of civic engagement, we compare the performance of four approaches to nonprobability estimation based on Bayesian additive regression trees. These are propensity weighting (PW), outcome regression (OR), and two types of doubly-robust estimators: outcome regression with a residual bias correction (OR-RBC) and outcome regression with a propensity score covariate (OR-PSC). We find that OR-RBC tends to have the lowest bias, variance, and RMSE, with PW only slightly worse on all
A new filter‐based stochastic gradient algorithm for dual‐rate ARX models

This paper proposes a new filter‐based stochastic gradient algorithm for dual‐rate ARX models. Algorithm analysis is based upon the Kalman filter and smoother method. The new filter applies the measurable outputs to adjust the estimated outputs during each interval of the slow sampled rate. A comparative study reveals that the present consideration makes the estimated outputs more accurate than the classical auxiliary model. A stochastic gradient algorithm is developed for the estimation of parameters using all data. The simulation made further guarantees the usefulness of the proposed algorithm.
Multi-Modal Hashing for Efficient Multimedia Retrieval: A Survey

With the explosive growth of multimedia contents, multimedia retrieval is facing unprecedented challenges on both storage cost and retrieval speed. Hashing technique can project the high-dimensional data into compact binary hash codes. With it, the most time-consuming semantic similarity computation during the multimedia retrieval process can be significantly accelerated with fast Hamming distance computation, and meanwhile the storage cost can be reduced greatly by the binary embedding. In the light of this, multi-modal hashing has recently received considerable attention to support large-scale multimedia retrieval. Different from uni-modal hashing, the multi-modal hashing focuses on modeling the multi-modal semantics and further preserving them into binary hash codes with hash learning. In this paper, we first systematically review the existing learning to hash methods for efficient multimedia retrieval, categorizing them according to the multimedia retrieval tasks, the specific multi-modal semantic modeling techniques, and hash learning strategies. Thereafter, we present the performance comparison results. We ultimately discuss the challenges and potential research directions that may require further investigation in multi-modal hash learning.
Inhibitory Potential of Apium graveolens L. Extract on Inflammation in Diethylnitrosamine-induced Hepatocellular Carcinoma in Mice

Background Hepatocellular carcinoma (HCC) is the most common form of liver cancer, with a recurrence rate of 80–90% and a high mortality rate. It is an inflammation-related cancer where cytokines production plays a major role, resulting in a non-resolving inflammation in the tumor microenvironment, which promotes the disease. Therefore, targeting inflammation is a logical way to combat HCC. Natural products can be helpful in the co-treatment and prevention of HCC. Hypothesis This study aimed to evaluate the hepatoprotective properties of a methanolic extract of Apium graveolens L. (MAG) in diethylnitrosamine (DEN)-induced toxicity in BALB/c mice. Materials and Methods We checked the antioxidant, anti-inflammatory, and anti-cancer properties of MAG. DEN is known to induce oxidative stress by increasing reactive oxygen species (ROS) production. This can result in liver damage, increased SGOT, SGPT, and ALP activity in serum, increased expression of HCC biomarkers like AFP and GPC-3, and increased levels of the inflammatory biomarkers NF-κB, IL-6, IL-4, IL-1β, and TNF-α. The above factors can cause the activation of the inflammatory signaling pathways, triggering the development of HCC. Results MAG was able to lower the detrimental effects of DEN by restoring liver function; decrease oxidative stress by increasing superoxide dismutase (SOD), catalase (CAT), glutathione peroxide (GPx), and ϒ-L-glutamyl-L-Cysteinyl-glycine (GSH); decrease the inflammatory factors responsible for HCC; and increase caspase-3 activity. Molecular docking studies showed how phytoconstituents like luteolin, apigenin, and kaempferol present in MAG could potentially be responsible for lowering the effects of DEN in the mice’s liver. Conclusion Altogether, the present study showed that MAG was able to ameliorate inflammation in the DEN-induced liver carcinogenesis in BALB/c mice. To the best of the authors’ knowledge, this is the first report on the use of a whole plant (Apium graveolens) in an anti-cancer study in a mouse model.
A novel printed small antenna with L-shaped structure for multiband applications

This paper introduces a novel L-Shaped microstrip patch antenna for multiband applications. The multiband antenna includes several L-shaped strips; each of these strips create new resonance frequency. The reported antenna is proposed for Bluetooth, wireless local area network (WLAN), worldwide interoperability for microwave access (WiMAX), C-band and ITU 8 GHz. The ultimate designed antenna, with overall size of 15×25×1.6 mm3, has been fabricated on an affordable FR4 substrate and measured. Simulation and experimental results are acceptable and suggest that the reported antenna has good characteristics for multiband applications.
Studies on transport phenomena of cohesive granular particles

In this thesis, we numerically and theoretically study the transport phenomena of cohesive granular particles. First, we study spatial patterns of cohesive granular gases under a plane shear. From the results of three-dimensional molecular dynamics (MD) simulations, we find various spatial patterns depending on the density, the shear rate, and the dissipation rate. We also find that the velocity distribution function (VDF) near the interface between the dense region and the gas dilute region in the dense-plate coexistence phase deviates from the Gaussian function. Introducing a stochastic model and its corresponding Kramers equation, we have obtained its perturbative VDF, which reproduces the semi-quantitative behavior of the VDF observed in the MD simulations. Next, we develop the kinetic theory of dilute cohesive granular gases in which the attractive part is described by a square well potential. We derive a set of hydrodynamic equations from the kinetic theory including the dissipation rate and the transport coefficients. We check the validity of our theory by performing the direct simulation Monte Carlo. Publication list for requirement of this thesis 1. S. Takada, K. Saitoh, and H. Hayakawa, “Kinetic theory for dilute cohesive granular gases with a square well potential” Submitted to Phys. Rev. E. 2. S. Takada, K. Saitoh, and H. Hayakawa, “Simulation of cohesive fine powders under a plane shear” Phys. Rev. E 90, 062207 (2014). Featured as Kaleidoscope.
Latin Squares and Related Structures

A latin square of order n is an n × n array of cells, each filled with one of n symbols such that each row and each column contain each symbol precisely once. This thesis contributes three new results from three different topics within the study of latin squares. In doing this, we give a broad overview of three distinct areas of the study of latin squares, and the results that have been accomplished in the literature so far. The first study presents new results pertaining to transversals in latin squares. Previous work on transversals has investigated the spectrum of intersection sizes of two transversals within the back-circulant latin squares. A natural extension to this work is to investigate the spectrum of intersection sizes of more than two transversals within the back-circulant latin squares. In this thesis we will accomplish this for three and four transversals, and for all but a finite list of exceptions give a design theoretic construction that recursively builds from base designs that we found by a computational search. The second study investigates μ-way k-homogeneous latin trades. These structures have been extensively studied when μ = 2, but much less is known when μ > 2. Previous investigation had filled in a fraction of the spectrum when μ = 3. We continue this study giving new constructions and show that 3-way k-homogeneous latin trades of order m exist for all but 196 possible exceptions. The third study investigates mutually nearly orthogonal latin squares (MNOLS). These MNOLS are similar to mutually orthogonal latin squares, and can also be used in the design of experiments. Continuing from previous investigations, we enumerate the number of collections of three cyclic MNOLS for latin squares with order up to 16. This required using computational enumeration techniques and a large optimised computer search, as the search space was incredibly large. We present the number of collections of three MNOLS for latin squares with order up to 16 under a variety of equivalences, where we take the collections to be either sets or ordered lists.
Kalman 1960: The birth of modern system theory

ABSTRACT Rudolph E. Kalman is mainly known for the Kalman filter, first published in 1960. In this year, he published two equally important contributions, one about linear state space system theory and the other about linear quadratic optimal control theory. These three domains are intertwined in the later theory of linear quadratic Gaussian control. An extended version of linear quadratic optimal control is put into practice in an example of cooperation in population ecology.
The impact of voltage independent carriers on implied voltage measurements on silicon devices

The electrical performance a solar cell is determined from direct measurements of the current voltage relationship, while the so-called implied current-voltage measurements are often performed to estimate the performance of partially processed samples. Implied current voltage measurements are commonly obtained from quasi steady state photoconductance and quasi steady state photoluminescence measurements, where the implied voltage is inferred from the average excess carrier density. As will be shown here, this approach can be problematic due to the presence of excess carriers that do not contribute to the terminal voltage. These carriers are referred to as voltage independent carriers, a concept that is not widely known or generally accepted. This paper provides the theoretical background for the distinction of voltage dependent and voltage independent carriers. It is shown that the relative impact of voltage independent carriers on implied voltage data depends strongly on device parameters and on the illu.
Multi-Lane Coordinated Control Strategy of Connected and Automated Vehicles for On-Ramp Merging Area Based on Cooperative Game

Ramp merging represents a bottleneck scenario that causes traffic congestion, accidents, and increases emissions. Connected and Automated Vehicles (CAVs) can realize the coordinated control of ramp merging through vehicle-to- infrastructure (V2I) for relieving above problems. Considering the previous studies on centralized ramp merging only involved single mainline, this paper proposes a multi-lane centralized collaborative control strategy using cooperative game. First, the merging rules of different lanes of vehicles in the merging area are defined, so that the vehicles can achieve the cooperative merging safely. Second, driving efficiency, comfort, and fuel consumption in the merging control zone are used as the cost function. The best merging sequences of vehicles in different lanes are solved by cooperative game. Finally, analytical solution of longitudinal optimal control for all vehicles is obtained by applying the Pontryagin principle. The effectiveness of the proposed method is verified through simulation under random traffic conditions. Compared to other centralized control algorithms, it can significantly improve driving efficiency and reduce fuel consumption. At the same time, the applicability of the method is verified by comparing with ExiD datasets, and some advantages are obtained in terms of fuel consumption.
Computing Quantum Bound States on Triply Punctured Two-Sphere Surface

We are interested in a quantum mechanical system on a triply punctured two-sphere surface with hyperbolic metric. The bound states on this system are described by the Maass cusp forms (MCFs) which are smooth square integrable eigenfunctions of the hyperbolic Laplacian. Their discrete eigenvalues and the MCF are not known analytically. We solve numerically using a modified Hejhal and Then algorithm, which is suitable to compute eigenvalues for a surface with more than one cusp. We report on the computational results of some lower-lying eigenvalues for the triply punctured surface as well as providing plots of the MCF using GridMathematica.
A two‐dimensional extended finite element method model of discrete fracture networks

This article presents the first effort to develop a two‐dimensional model using the extended finite element method (XFEM) for the simulation of discrete fracture networks, in which the mesh does not conform to the natural fracture network. The model incorporates contact, cohesion, and friction between blocks of rock. Shear dilation is an important mechanism impacting the overall nonlinear response of naturally fractured rock masses and is also included in the model; physics previously not simulated within an XFEM context. Here, shear dilation is modeled by means of a linear dilation model, capped by a dilation limiting displacement. Highly nonlinear problems involving multiple joint sets are investigated within a quasi‐static context. An explicit scheme is used in conjunction with the dynamic relaxation technique to obtain equilibrium solutions in the face of the nonlinear constitutive models from contact, cohesion, friction, and dilation. The numerical implementation is verified and its convergence is illustrated using a shear test and a biaxial test. The model is then applied to the practical problem of the stability of a slope of fractured rock.
Riemannian foliation with dense leaves on acompact manifold

The purpose of this article is to generalize the main results of "Extension d'un feuilletage de Lie minimal dune variete compacte" and "Champ feuillete dune extension d'un feuilletage de lie minimal sur une variete compacte" to the Riemannian foliations with dense leaves on a compact manifold
Application of the bootstrap method for statistical characteristics assessment of aircraft components’ small samples

For citation: Gerasimova D. S. , Sayapin A. V. , Palukhin A. A. , Katsura A. V. [Application of the bootstrap method for statistical characteristics assessment of aircraft components’ small samples]. Siberian Journal of Science and Technology. 2018, Vol. 19, No. 3, P. 482–488. Doi: 10.31772/2587-6066-2018-19-3-482-488 Для цитирования: Герасимова Д. С. , Саяпин А. В. , Палухин А. А. , Кацура А. В. Bootstrap-метод для оценки статистических характеристик малых выборок авиационных агрегатов // Сибирский журнал науки и технологий. 2018. Т. 19, No 3. С. 482–488. Doi: 10.31772/2587-6066-2018-19-3-482-488