Miracle-dz/UniFAR-FTUs huggingface dataset:
Limping along in implementing patient-centered care: Qualitative study

1 Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran 2 Department of Medical-Surgical Nursing, Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran 3 Department of Pediatric Nursing, Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran 4 Student Research Committee, Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran
Indium Nitride: An Investigation of Growth, Electronic Structure and Doping

The growth, electronic structure and doping of the semiconductor InN has been explored and analysed. InN thin films were grown by plasma assisted molecular beam epitaxy. The significance of the relative fluxes, substrate temperature and buffer layers was explored and related to the electrical and structural properties of the films. An exploration of the effect of active nitrogen species on InN films found that excited molecular nitrogen was preferred for growth over atomic and ionic species. An optimised recipe for InN was developed incorporating all explored parameters. The bandgap of InN was explored using the techniques of optical absorption, photoluminescence and photoconductivity. All three techniques identified a feature near 0.67 eV as the only dominant and reproducible optical feature measurable from InN thin films. No evidence for any optical features above 1 eV was discovered. The effect of the Burstein-Moss effect is discussed and the debate over the relative impact of the effect is related to problems with precisely measuring electron concentrations. Photoluminescence from mixed phase InN films containing significant zincblende content is presented, with tentative evidence presented for a zincblende band gap near 0.61 eV. Native defects within InN were studied by near edge X-ray absorption fine structure spectroscopy. Nitrogen related defects were found to be unlikely candidates for the high as-grown n-type conductivity. The most likely candidate remains nitrogen vacancies. Ion implantation was shown to cause substantial damage to the InN lattice, which could not be fully repaired through annealing. The limitation on annealing temperatures may limit the use of implantation as a processing tool for InN. Mg was shown to exhibit great promise as a potential p-type dopant. Photoluminescence from Mg doped films was found to quench at high Mg concentrations, consistent with a depletion region near the surface. The potential dilute magnetic semiconductor In1−xCrxN was explored. All of the In1−xCrxN films were found to be ferromagnetic at room temperature and exhibited saturated magnetic moments of up to 0.7 emu/g. An interesting correlation between
On the physics of pressure denaturation of proteins

We show that the entropic effect originating from the translational movement of water molecules plays critical roles in the pressure-induced denaturation of proteins. In our statistical–mechanical method, the partial molar volume governing the pressure dependence of the structural stability is expressed in terms of the two geometric measures of each protein structure, the excluded volume and the accessible surface area for water molecules, and a parameter related to the water-density profile entropically formed near its surface. An unfolded structure, which is shown to turn more stable than the native one at an elevated pressure, successfully features the experimentally observed denaturation.
Gendered Roles in Agrarian Transition: A Study of Lowland Rice Farming in Lao PDR

Traditional lifestyles of lowland rice farmers of the southern provinces of Lao People’s Democratic Republic are rapidly changing, due to two important trends. Firstly, there is a push towards modernization and commercialization of farming. Secondly, though farmers still focus on rice farming as a key activity, there is an increasing move towards diversification of livelihoods. The changes have seen the uptake of non-rice crops, livestock husbandry and forest and river utilization; as well as non-farming activities. This has influenced gender relations, impacting household agricultural production decisions and amplified transitional trends. To explore the processes, we analyzed data from a study of innovation adoption amongst rice farmers in southern Lao PDR. The study revealed nuances of gender-based differences in the priorities and attitudes towards farming and off-farm activities, as well as differences in behaviour related to the adoption of new practices. Women were more focused on non-farming practices and considered engaging in the modern, non-traditional, economy more so than men. Women also reported experiencing greater challenges when engaging and trading in the agricultural marketplace. The study supports the importance of taking a gendered approach to understanding the inherent complexities within agrarian change.
Burnout among Teachers in Higher Education: An Empirical Study of Higher Education Institutions in Portugal

Burnout is considered by the World Health Organization an extreme response to cumulative and prolonged occupational stress, with teachers being among the professionals most affected by it. This disease influences physical and psychological well-being, negatively affecting the relationship between teachers and students. It also compromises the quality of teaching, thus inducing absenteeism and increasing professional abandonment. Our study examines the degree of incidence of Burnout affecting Professors from the Portuguese Higher Education Institutions. The first study was carried out on a sample of 520 teachers. A proportion of 41 (7.9%) Higher Education Teachers scored high on Burnout. A second phase of the study was conducted to gather data on socio-demographic and socio-professional characteristics of teachers affected by Burnout. The MBI (Maslach Burnout Inventory) and another questionnaire was built for this purpose and were used to collect the study data. The results indicate the majority of teachers affected by Burnout were female (63.4%). Most of them are between 40 and 59 years old (75.6%) and married (68.3%). Overall, 41.5% had 10 to 19 years of service and 39.0% between 20 and 29 years of service. The teachers with an undetermined contract (48.8%) and temporary contract (36.6%) displayed higher levels of Burnout, but the self-employment worker (4.9%) appears in a residual amount. Teachers most affected by Burnout are from Public Polytechnic Institutes (48.8%), followed by Public University teachers (41.5%). Teacher’s Burnout is a serious problem and should be considered by the Higher Education Institutions regarding the development of good teaching practice.
Fluidization of forest biomass-sand mixtures: experimental evaluation of minimum fluidization velocity and CFD modeling

Abstract An experimental fluid-dynamic study of sand-forest biomass mixture fluidization was conducted. Different proportions of biomass/sand were tested. Sawdust from the Abra Ancha sawmill, located in the town of Aluminé, Argentina, was adopted as the forest biomass material. In parallel, computational fluid dynamics (CFD) simulations of the fluidization process of these mixtures were performed to obtain exhaustive knowledge of their fluid-dynamic behavior. As a result, sand incorporation, even at low concentrations, reduces the cohesion and bonding forces between biomass particles and decreases the segregation and preferential channel formation in sawdust, thus improving fluidization. Satisfactory qualitative results were obtained in relation to the agitation state, bed expansion, and formation of bubbles in the different fluidized mixtures analyzed. The occurrence of two different fluidization regimes was confirmed in both the biomass and biomass-sand mixtures. This phenomenon allows the definition of the incipient ( ) and complete ( ) fluidization velocities. The potential of ANSYS-Fluent software as a simulation tool of sand-sawdust mixture fluidization was verified, and a suitable simulation methodology for predicting the minimum fluidization velocity was developed. This study constitutes the first and most indispensable stage to achieve complete simulation, including chemical reactions, of a sawdust fluidized bed gasification reactor.
HOW DO YOU CAPTURE LIQUIDITY? A REVIEW OF THE LITERATURE ON LOW‐FREQUENCY STOCK LIQUIDITY

Researchers have various ways to measure liquidity but most of them come with both merits and demerits. This study provides a literature review of low-frequency liquidity measures with a primary focus on liquidity measurement as well as its implication on asset pricing. Based on the dimension it captures, a range of existing low-frequency measures are divided into four categories of liquidity proxies including transaction cost, volume, price impact, and multidimensionbased measures. We review some well-established liquidity proxies, a new bid–ask spread estimator and price impact ratios proposed recently. Finally, we discuss how good low-frequency liquidity measures are at capturing standard liquidity benchmarks, which are constructed from high-frequency intraday data.
The Contributions of the Largest Erosive Events to Sediment Yields in Karst Catchments

A large proportion of the soil loss is generally produced by a small number of large erosive events; these events are primarily responsible for the time compression of geomorphic processes. This issue, however, has received little attention in subtropical humid karst areas where extreme rainfall events frequently occur and soil erosion is relatively severe. The objective of this study was to examine the contributions of the largest daily erosive events to the annual sediment yield and to investigate whether these contributions depend on flow variability, catchment size, and karst coverage in 40 selected karst catchments. The time series data of the largest daily erosive events at each catchment were ranked by magnitude, and the percentage of the sediment yield produced by the n‐largest erosive events was calculated. The results indicated that a few large erosive events governed the annual sediment yield. Specifically, the 5‐largest erosive events produced, on average, 56% of the annual sediment yield, while the 10‐ and 25‐largest erosive events contributed 69% and 83% of the annual sediment yield, respectively. A catchment with a high flow variability generally had a great percentage of the sediment yield produced by largest events. The sediment produced by n‐largest erosive events (%) significantly decreased by catchment size as a power function and thus were scale dependent, while the karst coverage had no significant effect on these contributions. This study is helpful to effectively controlling sediment delivery and provides a more in‐depth understanding of the soil erosion processes in subtropical humid karst regions.
Variations in fruit and seed traits in jamun (Syzygium cuminii Skeels)

Jamun fruits collected from different locations showed wided variations in fruit and seed characters. Among 49 genotypes, SC1, SC27, SC33 and SC40 had lesser seed weight ranging from 0.3 to 0.8 g, therefore these genotypes can be considered as seedless types. Also, these genotypes had least seed content viz., 9.1 % (SC1), 10.3 % (SC27), 6.5 % (SC33) and 5.6 % (SC40). Nevertheless, these genotypes have two types of fruit in which the bigger fruits have thin seed and others have no seed. In seedless fruits, the aborted ovule was recorded. In addition, the seedless genotypes were found to have higher total soluble solids and sugars. Therefore, these genotypes can be used in the food industry particularly for the preparation of value added products and also as table fruit variety.
Perimeter of The Tricuspid Valve: A Cadaveric Human Heart Study

Historically, the research on the right ventricle (RV) has been neglected by his left equivalent because of the complexity of left ventricle (LV) dysfunction. Tricuspid regurgitation (TR) can be classified as linked to primary valve disease or functional in nature, but most are functional. Although it was historically assumed that such functional Tricuspid regurgitation, i.e. arising from leftsided disease, and it can be resolved after corrective surgery, but after successful surgery, on the aortic or mitral valve annular dilatation, the Tricuspid regurgitation and right ventricular dysfunction may persist.To study the circumference of tricuspid orifice and it’s the diameter in two perpendicular planes and its comparison among the male and female population. The material for the present study comprised of 50 formalin fixed human hearts (35 males and 15 females) which were obtained from the department of anatomy. In this study, it is observed that: The mean value of circumference of a tricuspid orifice is 11.01+/-0.63 cm. The diameter of tricuspid orifice along the frontal dimension is 3.06+/-0.38 cm, and the diameter along the sagittal dimension is 2.26+/-0.23 cm. The measurements of the circumference of tricuspid orifice reported for males and females in western countries were higher than the present study and the diameter along the frontal dimension is greater than the diameter along the sagittal dimension. The tricuspid valve diameter along the frontal dimension was more than the diameter along the sagittal dimension in both males and females.
“They hold on tight to the healthy eating, we hold on tight to our food safety, and how do we bridge that?”: determinants of successful collaboration between food safety and food security practitioners in British Columbia, Canada

Food safety and food security are two important public health sectors within Canada, which aim to address foodborne disease and food insecurity, respectively. While these sectors are often siloed within public health organizations, the actions of the two sectors often interact and conflict at the program level despite their common goal of improving population health. The objective of this study was to identify determinants that influenced the success of collaboration between practitioners of the two sectors in British Columbia (BC), to inform Canadian food policy. We inductively analyzed 14 interviews with practitioners working in the two sectors who had experience with successful collaboration. Data were interpreted in consultation with an interprofessional collaboration framework. Participants identified determinants at the systemic level, including the cultural, professional, educational, legislative, and political systems, which were often considered barriers to collaboration. Participants also identified determinants at the organizational level that influenced the success of collaboration between the sectors, including: the organization’s structure and philosophy, leadership, resources, and communication mechanisms. Finally, participants identified interactional determinants as ways to overcome existing barriers, including: willingness to collaborate, trust, communication, mutual respect, and taking a solutions-oriented approach. Practitioners working in food safety and food security can apply the interactional determinants identified in this study to mitigate existing barriers to collaboration and support more synergistic food policies.
A framework for space-efficient variable-order Markov models

Motivation Markov models with contexts of variable length are widely used in bioinformatics for representing sets of sequences with similar biological properties. When models contain many long contexts, existing implementations are either unable to handle genome-scale training datasets within typical memory budgets, or they are optimized for specific model variants and are thus inflexible. Results We provide practical, versatile representations of variable-order Markov models and of interpolated Markov models, that support a large number of context-selection criteria, scoring functions, probability smoothing methods, and interpolations, and that take up to 4 times less space than previous implementations based on the suffix array, regardless of the number and length of contexts, and up to 10 times less space than previous trie-based representations, or more, while matching the size of related, state-of-the-art data structures from Natural Language Processing. We describe how to further compress our indexes to a quantity related to the redundancy of the training data, saving up to 90% of their space on repetitive datasets, and making them become up to 60 times smaller than previous implementations based on the suffix array. Finally, we show how to exploit constraints on the length and frequency of contexts to further shrink our compressed indexes to half of their size or more, achieving data structures that are 100 times smaller than previous implementations based on the suffix array, or more. This allows variable-order Markov models to be trained on bigger datasets and with longer contexts on the same hardware, thus possibly enabling new applications. Availability and implementation https://github.com/jnalanko/VOMM
The Effect of Firm Specific Variables on Stock Returns of Nepalese Banks

This study focuses to examine the firm specific fundamental variables impact on the stock returns in the context of Nepali banks. The study uses cross sectional panel data of 12 banks for the duration of ten years. The study finds the existence a negative relationship between stock returns (total yield) and firm size. Likewise, the study shows that the book to market equity has negative relationship with stock returns. However, the study reveals that the relationship of earnings yield and cash flow yield with the stock returns is contradicted in comparison to previous studies.
The Role of Deubiquitinases in DNA Double-Strand Break Repair

DNA double-strand break (DSB) is a type of the most critical DNA lesions, and if not repaired promptly, it can result in cell death or a wide variety of genetic alterations including genome instability, large- or small-scale deletions, chromosome loss, loss of heterozygosity, and translocations. DSBs are repaired by double-strand break repair (DSBR), including nonhomologous end-joining (NHEJ) and homologous recombination (HR) pathway, and defects in these pathways cause genome instability and promote tumorigenesis. Accumulating evidence has demonstrated that the superfamily of deubiq- uitinases (DUBs) can regulate the action and stability of DNA repair enzymes involving in DSBR via modifying ubiquitination levels, a reversible posttranslational modification pathway. In this review, we will discuss ubiquitination/deubiquitination modification involving in DSBR genes, the role of DUBs in DSBR and corresponding mechanisms, and the potential effects of this modification on human diseases.
Knowledge Spillovers, Competition and Innovation Success

We study the relationship between a patent‐based measure of knowledge spillovers that calculates technological proximity based on technologically relevant firms and innovation success. We find – for a representative sample of Swiss firms – that knowledge spillovers have a positive and significant association with the commercial success of innovative products. The paper shows the importance of market conditions for the relationship of spillovers with innovation performance: It is only positive and significant in markets with a medium number of competitors in the main product market, but not in monopolistic or polypolistic market structures.
An Adjusted Two‐Leaf Light Use Efficiency Model for Improving GPP Simulations Over Mountainous Areas

Recently, light use efficiency (LUE) models have been widely used for calculating gross primary productivity (GPP). Unfortunately, these models are only suitable for flat areas without considering the topographic effects on plant photosynthesis. In this study, considering the topographic controls on direct radiation, diffuse radiation, and sunlit canopy area, an adjusted model called mountainous two‐leaf (MTL)‐LUE is developed from the original two‐leaf LUE model (TL‐LUE) to improve the GPP simulations in mountainous areas. The MTL‐LUE model was validated at an eddy covariance (EC) site with apparent topography in the carbon footprint area. Results showed that the daily GPP simulations from MTL‐LUE (root mean square error = 1.29 gC m−2 d−1) matched better with EC GPP than those from the TL‐LUE model (root mean square error = 1.84 gC m−2 d−1), confirming the improvement of the MTL‐LUE model in mountainous areas. Moreover, results also indicated that the MTL‐LUE‐simulated GPP showed obvious spatial variations in the study area, suggesting that the MTL‐LUE model could characterize the effects of topography on plant photosynthesis. More specifically, canopy GPP was found to decrease when slope increased in shaded terrains and has no obvious variations in different slope ranges when exposed to the sun. Furthermore, results also indicated that a moderate increase in canopy GPP would be expected when the sky clearness decreased, which depended on the gap between the GPP increase of shaded leaves and the GPP decrease of sunlit leaves. This study highlights the potential of the MTL‐LUE model in improving GPP simulations in mountainous areas.
A Framework to Incorporate D-trace Loss into Compositional Data Analysis

The development of high-throughput sequencing technologies for 16S rRNA gene profiling provides higher quality compositional data for microbe communities. Inferring the direct interaction network under a specific condition and understanding how the network structure changes between two different environmental or genetic conditions are two important topics in biological studies. However, the compositional nature and high dimensionality of the data are challenging in the context of network and differential network recovery. To address this problem in the present paper, we proposed a framework to incorporate the data transformations developed for compositional data analysis into D-trace loss for network and differential network estimation, respectively. The sparse matrix estimators are defined as the minimizer of the corresponding lasso penalized loss. This framework is characterized by its straightforward application based on the ADMM algorithm for numerical solution. Simulations show that the proposed method outperforms other state-of-the-art methods in network and differential network inference under different scenarios. Finally, as an illustration, our method is applied to a mouse skin microbiome data. Author summary Inferring the direct interactions among microbes and how these interactions change under different conditions are important to understand community-wide dynamics. The compositional nature and high dimensionality are two distinctive features of microbial data, which invalidate traditional correlation analysis and challenge interaction network estimation. In this study, we set up a framework that combines data transformation with D-trace loss to infer the direct interaction network and differential network from compositional data. Simulations and real data analysis show that our proposed methods lead to results with higher accuracy and stability.
Long-Term Orientation as a Resource for Entrepreneurial Orientation in Private Family Firms: The Need for Participative Decision Making

Building on the resource-based view (RBV) of the firm, this paper suggests that a family firm’s long-term orientation (LTO) can be an important resource that increases firm-level entrepreneurial orientation (EO). Nevertheless, resource orchestration suggests that managers need to orchestrate their resources in order to realize any potential advantage. Therefore, we hypothesize that a family firm’s LTO entails potential resources to engage in entrepreneurial activities, while a participative decision making (PDM) style serves as coordinating mechanism that helps the firm to manage these resources. Using data from 209 private family firms, the results show a positive association between LTO and EO. Also, PDM was found to positively moderate the LTO-EO relationship, providing empirical support for our central hypothesis.