Miracle-dz/UniFAR-FTUs huggingface dataset:
Determinants of Continuous Use Intention of News Apps in India: Towards an Integrated Model

Abstract We assessed the determinants of continuous use intention (CUI) of News Apps in India by integrating models, UTAUT2 and IS Success Model. The study considered personalization as the moderator for UTAUT2 variables to determine key factors for CUI of news apps. A questionnaire survey was used to collect data from 309 active news app users and structural equation modeling was employed to test the hypotheses. The findings from direct hypotheses testing revealed that performance expectancy, facilitating conditions, hedonic motivation, habit, information quality, system quality, and service quality have a positive effect on CUI of news apps. The testing of moderating hypothesis indicated that personalization has a moderating effect on performance expectancy and habit with CUI of news apps. The moderate or low level of personalization would enhance performance expectancy and the habit of users to use mobile news apps. The higher personalization negatively affects the relationship between performance expectancy, habit, and CUI and poses a serious threat to the habit and the perceived usefulness of news apps. Outcomes of this research are expected to help app developers in designing apps efficiently and engaging with users.
Disordered Rock-Salt Type Li2TiS3 as Novel Cathode for LIBs: A Computational Point of View

The development of high-energy cathode materials for lithium-ion batteries with low content of critical raw materials, such as cobalt and nickel, plays a key role in the progress of lithium-ion batteries technology. In recent works, a novel and promising family of lithium-rich sulfides has received attention. Among the possible structures and arrangement, cubic disordered Li2TiS3 has shown interesting properties, also for the formulation of new cell for all-solid-state batteries. In this work, a computational approach based on DFT hybrid Hamiltonian, localized basis functions and the use of the periodic CRYSTAL code, has been set up. The main goal of the present study is to determine accurate structural, electronic, and spectroscopic properties for this class of materials. Li2TiS3 precursors as Li2S, TiS2, and TiS3 alongside other formulations and structures such as LiTiS2 and monoclinic Li2TiS3 have been selected as benchmark systems and used to build up a consistent and robust predictive scheme. Raman spectra, XRD patterns, electronic band structures, and density of states have been simulated and compared to available literature data. Disordered rock-salt type Li2TiS3 structures have been derived via a solid solution method as implemented into the CRYSTAL code. Representative structures were extensively characterized through the calculations of their electronic and vibrational properties. Furthermore, the correlation between structure and Raman fingerprint was established.
Evolution of source attributed organic aerosols and gases in a megacity of central China

Abstract. The secondary production of oxygenated organic aerosol (OOA) impacts air quality, climate, and human health. The importance of various sources in contributing to the OOA loading and associated different ageing mechanisms remains to be elucidated. Here we present a concurrent observation and factorization analysis on the mass spectra of organic aerosol (OA) by a high-resolution aerosol mass spectrometer and volatile organic compounds (VOCs) by a proton transfer reaction mass spectrometer in Wuhan, a megacity in central China, during autumn. The full mass spectra of organics with two principle anthropogenic sources were identified as the traffic and cooking sources, for their primary emission profiles in aerosol and gas phases, the evolutions, and their respective roles in producing OOA and secondary VOCs. Primary emissions in gas and aerosol phases both contributed to the production of OOA. The photooxidation of traffic sources from the morning rush hour caused a 2.5 fold increase in OOA mass in a higher oxidation state (oxygen-to-carbon ratio as O/C =0.72), co-producing gas phase carboxylic acids, while, at night, cooking aerosols and VOCs (particularly acrolein and hexanal) importantly caused the nocturnal formation of oxygenated intermediate VOCs, increasing OOA mass by a factor of 1.7 (O/C =0.42). The daytime and nighttime formation of secondary aerosols, as contributed by different sources, was found to be modulated by solar radiation and air moisture, respectively. The environmental policy should, therefore, consider the primary emissions and their respective ageing mechanisms influenced by meteorological conditions.
Fear of Losing Jobs during COVID-19: Can Psychological Capital Alleviate Job Insecurity and Job Stress?

Job insecurity is a growing concern among bank employees. In this research, we examined whether psychological capital can alleviate bank workers’ perceptions of job insecurity and job stress during COVID-19. In particular, we aimed to examine this relationship at both the individual and work-unit levels of analysis. Based on the data collected from 520 bank tellers in 53 bank branches in Thailand, our multilevel structural equation modeling (MSEM) analyses revealed that there was significant between-branch variation in the levels of psychological capital (15%), job insecurity (23%) and job stress (24%). In particular, perceptions of job insecurity were found to have a positive effect on job stress at both levels of analysis. We also found that psychological capital significantly reduced perceptions of job insecurity and job stress at the individual level. These findings emphasize that perceptions of job insecurity can emerge at both the individual and work-unit levels. Theoretical and practical implications are discussed.
Joint estimation of angler revealed preference site selection and stated preference choice experiment recreation data considering attribute non-attendance

ABSTRACT We estimate angler demand models with revealed preference (RP) and stated preference (SP) site selection marine recreational fishing data. We combine RP data from the Marine Recreational Information Program (MRIP) creel survey with SP discrete choice experiment survey data from 2003/2004. There are eight SP trip decisions and one RP trip decision for each of 1928 anglers who provided enough information to be analysed. Joint RP-SP generalized multinomial logit models are estimated. We find that the SP travel cost coefficient is much lower than the RP travel cost coefficient in absolute value, suggesting hypothetical bias in the SP data. This difference is reflected in the willingness to pay estimates, where the SP estimates for improved catch are much higher than the RP estimates. We use inferred attribute non-attendance (ANA) methods to identify respondents who may be ignoring the SP cost variable. The SP cost coefficient accounting for ANA is much higher in absolute value than the SP coefficient from the model that does not account for ANA. The ANA model indicates much more consistency between the RP and SP data. The smaller difference in the travel cost coefficients is also reflected in the willingness to pay estimates.
Clinical outcomes and predictors in patients with previous cardiac surgery undergoing mitral valve transcatheter edge‐to‐edge repair

Mitral‐valve transcatheter edge‐to‐edge repair (MV‐TEER) is recommended in patients with severe functional mitral regurgitation (FMR) and in those with degenerative mitral regurgitation (DMR) not eligible to traditional surgery. Patients with a history of previous cardiac surgery are considered at high risk for surgical reintervention, but data are lacking regarding procedural and clinical outcomes.
Co-Occurrence of Sociocultural Elements and Self-Direction in Learning Situations: A Police Organization Case Study

Adult’s self-direction and self-directed learning (SDL) have become topics in the discussion of work-related adult learning and an autonomous approach, emphasizing responsibility and independence, has received increasing attention in studies of learning. In the context of SDL, in contrast, the importance of the learning environment and community has received less empirical attention. The aim of this article is to increase the understanding of the co-occurrence of sociocultural elements and self-direction in learning situations at work. From a practical viewpoint, it is important to understand both, the sociocultural and self-directed nature of different learning situations at daily work, so that organizations and workplaces can develop the practices that support learning and self-directedness in the work environment and create appropriate expectations for individual self-direction. In this study, we examined the elements of sociocultural learning and self-direction in police organization. The content analysis focused on interviews with 26 police officers, examining their descriptions of learning situations. The findings show that in learning situations at work, individual responsibility alternates with collectivity, peers, supportive supervisory work, and tools. The theoretical and practical implications of the findings are highlighted.
Thirty years of geometric morphometrics: Achievements, challenges, and the ongoing quest for biological meaningfulness

Abstract The foundations of geometric morphometrics were worked out about 30 years ago and have continually been refined and extended. What has remained as a central thrust and source of debate in the morphometrics community is the shared goal of meaningful biological inference through a tight connection between biological theory, measurement, multivariate biostatistics, and geometry. Here we review the building blocks of modern geometric morphometrics: the representation of organismal geometry by landmarks and semilandmarks, the computation of shape or form variables via superimposition, the visualization of statistical results as actual shapes or forms, the decomposition of shape variation into symmetric and asymmetric components and into different spatial scales, the interpretation of various geometries in shape or form space, and models of the association between shape or form and other variables, such as environmental, genetic, or behavioral data. We focus on recent developments and current methodological challenges, especially those arising from the increasing number of landmarks and semilandmarks, and emphasize the importance of thorough exploratory multivariate analyses rather than single scalar summary statistics. We outline promising directions for further research and for the evaluation of new developments, such as “landmark‐free” approaches. To illustrate these methods, we analyze three‐dimensional human face shape based on data from the Avon Longitudinal Study of Parents and Children (ALSPAC).
Practice and Associated Factors Regarding Foot Care among Diabetes Mellitus Patients Attending a Rural Primary Health Center in South India

Background: Diabetes mellitus patients are more likely to undergo nontraumatic foot or leg amputations because they have decreased circulation to the feet or reduced sensation. This condition may cause ulcerations, infections, and delayed wound healing, leading to amputations. Adequate knowledge and practices regarding foot care will be vital in the prevention of diabetic foot complications. Hence, this study aimed to determine the level of knowledge and practices of foot care among diabetes mellitus patients attending a rural primary health center in Belagavi-South India. Materials and Methods: A cross-sectional study was conducted in the rural field practice area of J.N. Medical College, Belagavi, for 7 months (November 2019 to May 2020). A pretested questionnaire was administered to 461 diabetes patients attending the health center. A written informed consent was obtained from each participant. They were interviewed with a questionnaire consisting of 15 “yes” or “no” questions, each on foot care knowledge and practice. Results: The mean age of the study participants was 50.28 ± 9.48 years. The mean duration of diabetes was 10.69 ± 7.09 years. Majority, i.e., 296 (64.2%) participants showed satisfactory knowledge and 293 (63.6%) showed satisfactory practice. Only 97 (21%) had poor knowledge, 90 (19.5%) had poor practice, 68 (14.8%) patients had good knowledge, and 78 (16.9%) had good practice about diabetic foot care. Conclusions: The low level of knowledge and practice in patients with diabetes regarding foot care necessitates an educational program to increase awareness related to foot complications of diabetes, thereby motivating diabetic patients to incorporate foot care practices in their day-to-day routine.
Joint Channel Estimation and Schmidl & Cox Synchronization for OCDM-Based Systems

This letter proposes a joint channel estimation and Schmidl & Cox synchronization for the orthogonal chirp-division multiplexing (OCDM) scheme. First, it is proven that a symbol composed of two identical halves in the Fresnel domain has two identical halves in the time domain, which is required by the considered synchronization technique. In sequel, a Fresnel-domain pilot symbol that enables joint channel estimation and synchronization is proposed, allowing overhead reduction and hence higher data rates. Finally, measurement and simulation results validate the obtained findings for both passband and baseband OCDM schemes.
Guiding Integrated Service Delivery: Synthesizing and Embedding Principles Using Role-Playing Games

Public agencies around the world are increasingly supplementing their service delivery channels with online services and continue to establish several policies and rules for improving service delivery. Such policies and rules are however based on customer oriented management paradigms without any consideration of complex customer interaction processes and staff experiences. Consequently, these policies and rules are deemed unrealistic and are often not picked up by employees. This paper reports on the synthesis of service delivery principles by employing a participative role playing game approach at a public agency. Service principles can be used to guide the design, implementation and execution of integrated service delivery. A role playing game refers to a research approach in which employees play a certain role and follow a script to simulate a range of customer interactions. Recognizing that customer experience is formed across several moments of contact with the agency through multiple channels, the game proved to be a useful instrument for both synthesizing principles and gaining bottom up commitment for embedding the principles within the public agency. We found that after the game, the employees that helped to synthesize the set of eight principles have also become active ambassadors for the principles within their respective departments.
Debonding of Thin Bonded Rubberised Fibre-Reinforced Cement-Based Repairs under Monotonic Loading: Experimental and Numerical Investigation

In this study, the durability of cement-based repairs was observed, especially at the interface of debonding initiation and propagation between the substrate–overlay of thin-bonded cement-based material, using monotonic tests experimentally and numerically. Overlay or repair material (OM) is a cement-based mortar with the addition of metallic fibres (30 kg/m3) and rubber particles (30% as a replacement for sand), while the substrate is a plain mortar without any addition, known as control. Direct tension tests were conducted on OM in order to obtain the relationship between residual stress-crack openings (σ-w law). Similarly, tensile tests were conducted on the substrate–overlay interface to draw the relationship between residual stress and opening of the substrate–overlay interface. Three-point monotonic bending tests were performed on the composite beam of the substrate–overlay in order to observe the structural response of the repaired beam. The digital image correlation (DIC) method was utilized to examine the debonding propagation along the interface. Based on the different parameters obtained through the above-mentioned experiments, a three-point bending monotonic test was modelled through finite elements using a software package developed in France called CAST3M. Structural behaviour of repaired beams observed by experimental results and that analysed by numerical simulation are in coherence. It is concluded from the results that the hybrid use of fibres and rubber particles in repaired material provides a synergetic effect by improving its strain capacity, restricting crack openings by the transfer of stress from the crack. This enhances the durability of repair by controlling propagation of the interface debonding.
GK-BSC: Graph Kernel-Based Brain States Construction With Dynamic Brain Networks and Application to Schizophrenia Identification

The dynamic brain network can reflect time-varying changes of the BLOD signal fluctuations, and has been widely used in the research of brain diseases identification. This network consists of a set of connection matrices, where each connection matrix represents the relationship between brain regions under a certain period. Researchers often convert these matrices into vectors, and then use the K-means clustering method to divide these matrices into different brain states according to their vector-based distances. Through analyzing these states, they can identify some brain abnormalities. However, simply using the vector-based distances may lead to two problems: 1) it ignores the topological properties and underlying mechanisms of brain networks, and 2) it never considers individual differences between subjects. Hence, to solve these two problems, we propose a novel method, called GK-BSC, for constructing brain states with dynamic brain networks. Specifically, we first use the graph kernel rather than the vector-based distances to measure the similarities between connection matrices of the dynamic brain network. Then, we aggregate these matrices to generate brain states based on these calculated similarities. This aggregation operation is sustained several times on one subject, whereby each subject is represented by a set of hierarchical brain states. Finally, we extract features from these states, and feed them into the multi-instance support vector machine (MI-SVM) for identifying patients. Experiments on a real schizophrenia dataset suggest that our method not only improves the performance of schizophrenia identification, but also accurately locates the brain abnormalities.
Bayesian approaches for critical velocity modelling of data from intermittent efforts

In sports science, critical power and related critical velocity models have been widely investigated, and are being increasingly applied to field-based team sports. A challenge associated with these models is that laboratory experiments that yield accurate measurements of maximal sustainable velocity are expensive. Alternatively, inexpensive field data (from training and matches) are being used to fit such models. However, the intermittent nature of efforts in field-based sports implies that the dependent variable concerning maximum sustainable velocity is reliably calibrated only for short time durations. This paper develops methods where field data based on short time durations is combined with prior knowledge to fit the three-parameter critical velocity model. This is accomplished in a Bayesian framework for which Markov chain methods are required for model fitting and inference.
Load adaptive zero-phase-shift direct repetitive control for stand-alone four-leg VSI

This paper deals with a dedicated load adaptive phase compensation algorithm to be used in repetitive control based stand-alone 4-leg VSI. Plant model is achieved and its inherent modification according to the operating point are highlighted. Modification of the repetitive control structure is described to obtain the desired phase compensation capabilities. This allows to increase the gain exhibit to the RC at high order harmonics yielding a better VSI output voltages with strongly reduced THD.
The organizational power applied by school principals and its effect on teachers’ perception of power distance

The aim of this research is to examine the relationship between the power types used by school principals and the power distance perceptions of teachers. The population is composed of the teachers in Mugla (Turkey) and Tamale (Ghana). The sample is made up of 384 teachers from Mugla and 407 teachers from Tamale. The data used in this research were collected using Power Type Scale and Power Distance Scale, both of which were developed in schools. In the analysis of the data, descriptive statistics were used in determining teachers' views of the power types used by school principals and the teachers' power distance perceptions. T-test was used in determining the differences in opinions and perceptions regarding the power types and power distance according to the demographic variables considered in this study. In the statistical analysis made; 0.5 was chosen as the significant value. According to the findings of the research, Mugla and Tamale principals exhibited the same order of preference in the power types they employ. Mugla principals and Tamale principals used reward power and legitimate power respectively at statistically significant levels. Regarding power distance, Tamale teachers' perceptions in all the dimensions of power distance were higher than Mugla teachers' perceptions at statistically significant levels. In both Mugla and Tamale samples, power types used by principals were found to be very good predictors of teachers' power distance perceptions
Problem-based learning model assisted by google meet for parabolic motion topic to improve student learning outcomes

This research aims to produce quality physics learning tools using the Problem Based Learning (PBL) learning model. The study was conducted at a public senior high school (SMA Negeri 1 Tapa), Gorontalo, Indonesia. The device was developed using the 4D development model developed by Thiagarajan and Semel. The research results on the device show that the developed device is of high quality. Learning tools are said to be valid for use with little revision. It can be seen based on the average validation results of 3.5 to 3.6. The effectiveness of learning devices is seen in the increase in student learning outcomes. It consists of the cognitive domain from the first meeting until the second meeting. It obtained N Gain 0.54 with N Gain criteria moderate, in the attitude domain with an average percentage of 81.77%. The results of observing student activities during two meetings: 71.80% with good criteria. The psychomotor aspects with an average percentage of 80.36%, and the practicality of the developed devices seen from the observation sheet on the implementation of learning 84.78%, as well as teacher response questionnaires and student response questionnaires with an average the percentage of 79.88% and 84.80% got a positive response. There is an influence on student learning outcomes after the problem-based learning model is set with the help of the google meet application on parabolic motion material in the development of learning devices.