Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving the Public–Public Partnership between a Rescue Department and an Integrated Social and Health Care Organization

Public social and health care organizations everywhere are facing challenges caused by an aging population, declining birth rates, and urbanization. To address these challenges, innovative operating models and flexible IT solutions supporting collaboration between public-sector organizations are required. Our paper introduces an example of a progressive collaboration model between the Rescue Department of South Karelia (EKP) and South Karelia social and health care district (Eksote), which are frontrunners in the synergy-producing cooperation of rescue board services at the rescue department level with social and health services. The purpose of our qualitative case study is to investigate how Eksote and EKP could further strengthen their public-public partnership (PuP) to improve regional risk management by jointly planning and executing preventive actions and services. The main objectives are to: 1) understand the reasoning behind and the success factors of a public-public partnership; 2) investigate how a joint customer and process management system could support the partnership between a social and health care organization and a rescue department; and 3) identify ways to improve the public-public partnership between a social and health care organization and a rescue department. This study builds on the existing literature on public-public partnerships by incorporating a customer and process management system into the partnership between a social and health care organization and a rescue department. The empirical data were collected via 16 semi-structured interviews conducted between June 2020 and April 2021. The results indicate that the public sector must determine new and innovative ways of working together to overcome the challenges prevalent in the current operational environment. To support collaborative actions and processes between social and health care organizations and rescue departments, actions are needed on national, regional, organizational, and professional levels. As the public sector is facing similar challenges everywhere, the results can be utilized in Finland and in the international setting.
Lower and upper bounds for Cohen-Macaulay dimension

Lower and upper bounds for CM-dimension, called CM*-dimension and CM*-dimension, will be defined for any finitely generated module M over a local Noetherian ring R. Both CM* and CM*-dimension reflect the Cohen–Macaulay property of rings. Our results will show that these dimensions have the expected basic properties parallel to those of the homological dimensions. In particular, they satisfy an analog of the Auslander-Buchsbaum formula.
Alfvén eigenmode and energetic particle research in JT-60U

Recent results on investigations of Alfven eigenmodes, fast ion confinement and fast ion diagnostics in JT-60U are presented. It was found that toroidicity induced Alfven eigenmodes (TAEs) were stable in negative shear discharges with a large density gradient at the internal transport barrier (ITB). If the density gradient was small at the ITB, multiple TAEs appeared around the q = 2 surface (pitch minimum) and showed a large frequency chirping (Δf ≈ 80 kHz). In low-q positive shear discharges, the location of the TAEs changed from outside to inside the q = 1 surface, owing to a temporal change of the q profile. A significant depression of the megaelectronvolt ion population was observed only with high-n (n up to 14) multiple TAEs inside the q = 1 surface. Non-circular triangularity induced Alfven eigenmodes were observed for the first time. Considerable depression of the triton burnup was observed in negative shear discharges. Orbit following Monte Carlo simulations indicated that ripple loss was responsible for the enhanced triton losses. The fast ion stored energies in ICRF heated negative shear discharges were comparable to those of positive shear plasmas. Tail ion temperatures in high (second to fourth) harmonic ICRF heating experiments were first analysed with an MeV neutral particle analyser. The behaviour of MeV ions produced by ICRF heating was studied with gamma ray diagnostics. A scintillating fibre detector system for detecting the 14MeV neutron emission was developed for the triton burnup studies. Ion cyclotron emission measurements discriminating between parallel and perpendicular components of the electric field were carried out for the first time.
Active disturbance rejection control of unmanned tracked vehicle

Significant improvement of the unmanned vehicles possibility has achieved by increasing its autonomy, i.e. by excluding the human operator from the guidance loop. In this paper is considered the autonomous control of the unmanned tracked vehicle (UTV) in the presence of the unknown caterpillar tracks slippage. The longitudinal and lateral control model for the UTV path following problem are developed. To handle unknown uncertainties and slippage disturbances, the design of active disturbance rejection control (ADRC) for both, longitudinal and lateral control channels, are proposed. ADRC strategy is enabled that all the control channel uncertainties and disturbances are treated as one lumped (total) disturbance, which is defined as an extended system state and estimated by appropriate extended state observer (ESO). Further, applying the appropriate closed-loop control laws, based on the total disturbance estimation, the complex longitudinal and lateral control problems are reduced to disturbance-free model control. The numerical simulations for the different path following scenarios and caterpillar tracks slippage dynamics are given to verify effectiveness of the proposed UTV control.
Observation of the H - shape resonance in the hydrogen-arc emission spectrum

Theoretical calculations by Macek and others have shown that the H/sup -/ photoabsorption cross section should be affected by a narrow shape resonance at 1129.5 A. This resonance is expected to cause a noticeable 1.5-A-wide structure in the usual vacuum-ultraviolet emission spectrum of a thermal hydrogen plasma, composed of Lyman line wings, H and H/sup -/ continua, and molecular-H/sub 2/ emission lines. The present paper describes the very thorough investigation of a steady-state local-thermodynamic-equilibrium hydrogen-arc plasma in this spectral region. The arc is operated at atmospheric pressure and its axis temperature ranges from 11 300 to 13 200 K. In contrast to some earlier similar experiments, there is a clear indication of the resonance at exactly the predicted wavelength. The recorded spectra demonstrate that Macek's theory certainly overestimates the strength of the resonance. The reduced oscillator strength of Broad and Reinhardt's more recent calculations can be confirmed, but with half the peak height and twice the width predicted by this theory. This is considered to be an indication for pressure broadening of the resonance in the plasma.
Comparison between Euler and quaternion parametrization in UAV dynamics

The main topic addressed in this paper is a comparison between Euler parametrization and Quaternion one in the description of the dynamics of a Unmanned Aerial Vehicle assumed as a rigid body. In details Newton Euler equations are re-written in terms of quaternions due to the singularities that the Euler angles lead. This formulation not only avoids the gimbal lock but also allows a better performance in numerical implementation thanks to the linearity of quaternion algebra. This kind of analysis, proved by some numerical results presented, has a great importance due to the applicability of quaternion to drone control. Indeed, this latter requires a time response as quick as possible, in order to be reliable.
Two Molecular Outflows in L1251

The dark cloud L1251 has been studied by mapping the J = 1-0 transition of (C-12)O, (C-13)O, and (C-18)O to elucidate the star formation within the cloud. Two molecular outflows, probably caused by two IRAS point sources with low luminosities, are found in an active star formation region. The colder source, during a compact outflow, lies in the midst of a dense core. The warmer source, driving an extended outflow with a dynamical time scale of about 110,000 yr, is situated outside the dense core, suggesting that it is older than the colder source. The extended outflow is interacting with the dense clump in the cloud. Once a protostar forms a dense core, its outflow probably disrupts its placental cloud core, reducing its ambient density. 18 refs.
Texture Element Extraction via Cepstral Filtering in the Radon Domain

We present a procedure based on one-dimensional cepstral filters in the Radon domain to extract texture elements or textons from images with (quasi-) periodic or ordered texture. With this approach, no assumption is required on the homogeneity of the texton. By applying the cepstral filter in the Radon domain, the difficulties associated with two-dimensional cepstral analysis and phase unwrapping are obviated. The necessity of a weighting function as a preprocessing step and details of wavelet extraction in the Radon domain are discussed. The method should facilitate structural analysis of ordered texture and the constituent textons.
Unsteady convective heat and mass transfer of a nanofluid in Howarth’s stagnation point by Buongiorno’s model

Purpose – The purpose of this paper is to do a comprehensive study on the unsteady general three-dimensional stagnation-point flow and heat transfer of a nanofluid by Buongiorno’s model. Design/methodology/approach – In this study, the convective transport equations include the effects of Brownian motion and thermophoresis. By introducing new similarity transformations for velocity, temperature and nanoparticle volume fraction, the basic equations governing the flow, heat and mass transfer are reduced into highly non-linear ordinary differential equations. The resulting non-linear system has been solved both analytically and numerically. Findings – The analysis shows that velocity, temperature and nanoparticle concentration profiles in the respective boundary layers depend on five parameters, namely unsteadiness parameter A, Brownian motion parameter Nb, thermophoresis parameter Nt, Prandtl number Pr and Lewis number Le. It is found that the thermal boundary layer thickens with a rise in both of the Brown.
IMPLEMENTATION OF CLEAR ALGORITHM ON COLLOCATED GRID SYSTEM AND APPLICATION EXAMPLES

ABSTRACT Implementation of the CLEAR algorithm on a collocated grid system is conducted. Detailed discussion of the previous momentum interoperation method (MIM) is given to analyze the condition to get a unique converged solution that is independent of relaxation factor for steady flow. Six numerical examples on nonstaggered grids of forced-convective fluid flow and natural convection are provided to compare the convergence performance between CLEAR and SIMPLER. The domain extension method, widely used on staggered grids to deal with mildly irregular domains, is further refined to meet the requirement of collocated grids. It is shown that on a collocated grid the CLEAR algorithm can also greatly enhance the convergence rate, based on iteration number and CPU time consumed, compared with the SIMPLER algorithm with similar robustness.
Genome-Wide Association Study on Chinese Merino Sheep Alopecia

The alopecia of Chinese Merino sheep (ACMS) has a direct impact on the economic value of fine wool. It is generally considered to be caused by both genetic and environmental factors. We aimed to identify single nucleotide polymorphisms (SNPs) and genomic regions that are associated with ACMS in the Chinese Merino sheep population. To identify the genetic risk factors of alopecia in Chinese Merino sheep population, we carried out a genome-wide association study (GWAS). The 60 Chinese Merino sheep alopecia cases and the 190 Chinese Merino sheep controls were from the same livestock farm. DNA was extracted from ear tissue using the saturated phenol-chloroform method. The DNA was genotyped using the Illumina Ovine SNP50 Bead Chip. After quality control, we detected 4,8335 SNPs, which included four SNPs that are significantly associated with the ACMS of sheep. We identified four quantitative trait loci (QTL) regions for ACMS. These QTLs on Ovis aries (OAR) 2 and OAR26. We observe genome-wide significant association with ACMS at four genomic loci: OAR2_130068033. 1, OAR2_216769207. 1, OAR2_128282778. 1 and OAR26_29848682. 1. After gene a notation, we found five candidate genes associated with ACMS, including CTL4A and ITGAV . These candidate genes are involved in derma cell differentiation, diet-induced obesity, and nervous system development. The genomic regions identified in this study provided a start-up point for contribute to similar studies and can facilitate the potential utilization of genes involved in etiology of Chinese Merino sheep alopecia in the future.
Modelling Liquified Petroleum Gas Prices in Nigeria Using Machine Learning Models

The usage of Liquefied Petroleum Gas in households has been to increase in recent years. The energy used by households has proved difficult to forecast due to the nature of the independent variables. In recent years, deep learning models has been broadly utilized in the machine learning area to model time series data. Most noticeable is in the field of forecasting. In this work, Neural Network Autoregressive model (NNETAR), Naive forecasting and the Autoregressive Integrated Moving Average (ARIMA) models were used to model the price of Liquefied Petroleum Gas prices(LPG) of 37 states (including the FCT) in Nigeria, with input variables in the form of the price of refilling LPG for 12.5 kg from January 2016 to April 2019 covering a 1480 data points. The Mean Absolute Percentage Errors was used to measure the performance of the model. The result shows that Naive produced lower MAPE for more states compare to NNETAR and ARIMA models.
The impact of corporate social responsibility on the financial performance in the Republic of Serbia

Under conditions of globalization and increasing market integration, competitiveness is a prerequisite for survival in the global market. The goal is not only to achieve a competitive advantage but to make it sustainable. The most stable and long-term source is reflected in business innovation. Innovative activities encourage companies' development and influence the preservation of market position as well as the company's profitability. The effects of applying the CSR concept can positively influence a company's financial performance. The authors of this paper investigate whether there is a connection between the concept of corporate social responsibility and financial performance in the Republic of Serbia. The paper presents the results of research conducted in the territory of the Republic of Serbia. The research covers 165 large companies during the period November 2019 - August 2021. The data were processed using the Smart PLS program. The research results show that the application of the CSR concept has a positive effect on the financial performance of large companies in the Republic of Serbia.
A precision waveguide system for the measurement of complex permittivity of lossy liquids and solid tissues in the frequency range 29 GHz to 90 GHz-II. The liquid system for 90 GHz; high-frequency cell design

A W-band waveguide system is described which enables the complex permittivity of high-loss liquids to be measured accurately at a spot frequency of 90 GHz. Mechanical restrictions are overcome by using an oversized rectangular cell. Data are presented and the experimental errors considered. The authors compare results found from an oversized rectangular waveguide cell with those from a standard circular waveguide cell and an E-band rectangular waveguide cell, operated at the upper limit of its frequency range. The results for a range of liquids are comparable within experimental errors.
Geophysical Applications of Partial Wavelet Coherence and Multiple Wavelet Coherence

In this paper, the application of partial wavelet coherence (PWC) and multiple wavelet coherence (MWC) to geophysics is demonstrated. PWC is a technique similar to partial correlation that helps identify the resulting wavelet coherence (WTC) between two time series after eliminating the influence of their common dependence. MWC, akin to multiple correlation, is, however, useful in seeking the resulting WTC of multiple
Density Estimation in the Presence of Heteroscedastic Measurement Error

We consider density estimation when the variable of interest is subject to heteroscedastic measurement error. The density is assumed to have a smooth but unknown functional form that we model with a penalized mixture of B-splines. We treat the situation in which multiple mismeasured observations of each variable of interest are observed for at least some of the subjects, and the measurement error is assumed to be additive and normal. The measurement error variance function is modeled with a second penalized mixture of B-splines. The article's main contributions are to address the effects of heteroscedastic measurement error effectively, explain the biases caused by ignoring heteroscedasticity, and present an equivalent kernel for a spline-based density estimator. Derivation of the equivalent kernel may be of independent interest. We use small-sigma asymptotics to approximate the biases incurred by assuming that the measurement error is homoscedastic when it actually is heteroscedastic. The biases incurred by misspecifying heteroscedastic measurement error as homoscedastic can be substantial. We fit the model using Bayesian methods and apply it to an example from nutritional epidemiology and a simulation experiment.
Enhanced hole injection and transport in molybdenum-dioxide-doped organic hole-transporting layers

We have found that molybdenum dioxide (MoO2) is an excellent dopant for enhancing electrical conductivities in organic hole-transporting layers. We fabricated hole-only devices with an alpha-sexithiophene (α-6T) layer doped with MoO2 at various concentrations to investigate how doping MoO2 into the α-6T layers influences the hole-injection and hole-transport characteristics of these layers. We observed a marked increase in electrical conductivity as a result of the MoO2 doping. The 30-mol % MoO2-doped α-6T layer had a high electrical conductivity of 8.9±1.3×10−6 S/cm. From the results of our visible/near-infrared absorption spectra study of these doped layers, we confirmed that this increase in electrical conductivity is caused by a charge transfer between MoO2 and α-6T, which leads to an increase in free hole concentration in the doped layers and the formation of an ohmic contact at an electrode/α-6T interface. In the latter part of this paper, we discuss current flow and electroluminescence (EL) charact.
Smartphone-Based Self Management Education Improves Compliance and Self Efficacy and Reduces Blood Pressure in Hypertension Patients

Background: Obedience to medication and diet, self-efficacy and blood pressure stability are key factors for the success of hypertension treatment. Self management education is an alternative that can be done to increase the knowledge and self-care behavior of people with hypertension. The purpose of this study was to determine the effect of smartphone-based self-management education on self-efficacy, compliance and blood pressure of hypertensive patients. Methods: This study uses a quasi-experimental approach with a nonequivalent approach with a control group design. The sample in this study was hypertensive patients aged 17-59 years, who had a smartphone and did not experience complications. A sample of 60 people was divided into two groups. The instruments used were self-efficacy questionnaire, 8-item Moriskys Medication Obe-dience Scale and a mercury sphygmomanometer. The data were analyzed using the Mann Whitney test. Results: statistical test analysis showed that there were significant differences in obedience, self-efficacy, and blood pressure in patients with hypertension be-tween the treatment group who received smartphone-based self-management education and the control group. (P value < 0.05). These results indicate that smartphone-based self-management education is effective in increasing compliance
Factors Associated with a Positive Hemodynamic Response to Cardiac Resynchronization Therapy

AIM: This study aimed to conduct a comparative analysis of clinical, electrocardiographic, and echocardiographic factors in patients with chronic heart failure (CHF) with different hemodynamic responses to cardiac resynchronization (CRT) to assess the possibility of their use in predicting the positive effect of CRT. MATERIALS AND METHODS: The study included 136 patients with New York Heart Association grade 34 CHF with a left ventricular ejection fraction of 35%, QRS duration of 150 ms, QRS duration of 130149 ms, and QRS morphology of left bundle branch block (LBBB). For CHF treatment and primary prevention of sudden cardiac death, a cardioverter-defibrillator with CRT (CRT-D) function was implanted. The enrolled patients were followed up prospectively for 1 year to record the endpoint, namely, hemodynamic response to CRT, assessed by a decrease in the end-systolic volume of the left ventricle by 15%. RESULTS: During the 1-year follow-up, the primary endpoint was registered in 62 (46%) patients. With a one-way logistic regression, four indicators with the highest predictive potential (p 0.05) and associated with the occurrence of the studied endpoint were identified. Based on the results of the multivariate regression analysis, a prognostic model was developed, which included three factors with the highest levels of statistical significance, namely, a history of indications of a previous correction of valvular insufficiency, QRS duration, and LBBB criteria according to Strauss. The diagnostic efficiency of the model was 73% (sensitivity, 80%; specificity, 68%). The electrocardiographic parameters of the Strauss LBBB criteria and QRS duration were independent predictors of the studied endpoint. CONCLUSIONS: The developed multivariate prognostic model may be useful in the selection of patients with CHF reduced ejection fraction for implantation of devices with CRT function; the lack of external validation limits its application in practice.
A Statistical Analysis of the Dependency of Closure Assumptions in Cumulus Parameterization on the Horizontal Resolution.

Abstract Simulated data from the UCLA cumulus ensemble model are used to investigate the quasi-universal validity of closure assumptions used in existing cumulus parameterizations. A closure assumption is quasi-universally valid if it is sensitive neither to convective cloud regimes nor to horizontal resolutions of large-scale/mesoscale models. The dependency of three types of closure assumptions, as classified by Arakawa and Chen, on the horizontal resolution is addressed in this study. Type I is the constraint on the coupling of the time tendencies of large-scale temperature and water vapor mixing ratio. Type II is the constraint on the coupling of cumulus heating and cumulus drying. Type III is a direct constraint on the intensity of a cumulus ensemble. The macroscopic behavior of simulated cumulus convection is first compared with the observed behavior in view of Type I and Type II closure assumptions using “quick-look” and canonical correlation analyses. It is found that they are statistically simila.