Miracle-dz/UniFAR-FTUs huggingface dataset:
Listening Comprehension and Listening Anxiety: A Case of Basic Listening Class Students at English Department UNP Padang

Listening anxiety which makes someone feel tensions, fear, uncomfortable and worry was suspected to affect students’ comprehension in listening class. Therefore, this research aims to find the relationship between listening anxiety and listening comprehension of English department students who had taken Basic Listening class at Universitas Negeri Padang. The type of research used in this research was quantitative research. The population of this research was the second year students in Basic Listening Class of English Department. The sample was 30 students who were chosen randomly from the total population using Simple Random Sampling. The data were collected through questionnaire and an English Listening test using TOEIC test. The results showed that Foreign Language Listening Anxiety (FLLA) and Listening Comprehension (LC) have a negative correlation (r= -.006) which indicates that high anxiety blocks the processing of listening anxiety, and when the higher anxiety the students have, the lower listening comprehension they make. Further research related to listening comprehension and listening anxiety is suggested to do.
The Indian Mackerel: IV. Bionomics and life history

﻿Mackerel is heterosexual and two instances of hermaphroditism were recorded one in a specimen caught from Majali, near Karwar (Prabhu & Antony Raja, 1959) and the other in a specimen obtained at Ullal, near Mangalore (Rao, 1962). In the first instance, the left gonad, situated slightly anterior to the right one, showed the characteristics of an ovary and contained yolky eggs ranging in size from 0.15 mm to 0.31mm mixed with a large number of transparent immature eggs. The right gonad had the characters of a normal testis. The genital ducts (oviduct and vas deference) emerging from them appear to open outside through a common aperture. The ovary was in stage III of maturity.
Effects of Healthcare Service Provider’s Organizational Socialization and Support on Patients’ Well-Being

Abstract This paper explores the effects of a healthcare service provider’s organizational socialization and support on patients’ well-being. It also addresses how patients’ well-being is affected by their perceived self-efficacy and outcome expectations. A cross-sectional field survey was carried out among 329 patients of a therapeutic and rehabilitation service provider based in Dhaka, Bangladesh. The results indicate that both the organizational socialization and support of a service provider have positive influences on patients’ outcome expectations, which has a positive effect on their well-being. The results further show that the self-efficacy beliefs of healthcare customers have implications for their well-being.
Studies on the genus Scenedesmus MEYEN (Chlorophyceae, Chlorococcales) from South India, with special reference to the cell wall ultrastructure

Studies on the genus Scenedesmus MEYEN (Chlorophyceae, Chlorococcales) from South India, with special reference to the cell wall ultrastructure , Studies on the genus Scenedesmus MEYEN (Chlorophyceae, Chlorococcales) from South India, with specia. , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی
Learning Set Representations for LWIR In-Scene Atmospheric Compensation

Atmospheric compensation of long-wave infrared (LWIR) hyperspectral imagery is investigated in this article using set representations learned by a neural network. This approach relies on synthetic at-sensor radiance data derived from collected radiosondes and a diverse database of measured emissivity spectra sampled at a range of surface temperatures. The network loss function relies on LWIR radiative transfer equations to update model parameters. Atmospheric predictions are made on a set of diverse pixels extracted from the scene, without knowledge of blackbody pixels or pixel temperatures. The network architecture utilizes permutation-invariant layers to predict a set representation, similar to the work performed in point cloud classification. When applied to collected hyperspectral image data, this method shows comparable performance to Fast Line-of-Sight Atmospheric Analysis of Hypercubes-Infrared (FLAASH-IR), using an automated pixel selection approach. Additionally, inference time is significantly reduced compared to FLAASH-IR with predictions made on average in 0.24 s on a 128 pixel by 5000 pixel data cube using a mobile graphics card. This computational speed-up on a low-power platform results in an autonomous atmospheric compensation method effective for real-time, onboard use, while only requiring a diversity of materials in the scene.
Intertemporal Preference with Loss Aversion: Aggregate Consumption and Asset Management

We investigate the dynamic consumption and portfolio selection problem of an agent who has an intertemporal preference with loss and risk aversion, as proposed by Choi et al. (2019a). We disentangle the effects of loss aversion from those of risk aversion on risk taking. We show by simulation that the model can match well the moments of US aggregate consumption data. The model can be applied to practical asset management designed to produce stable cash flows. We also provide extensions of the model including the durable goods and multiple goods.
Maternal investment and growth performance of lambs in a hair coat sheep breed raised in equatorial semi-arid environment

ABSTRACT Thirty four lambs and twenty multiparous Morada Nova ewes with 3 ± 1.2 years of age were evaluated in a semi-extensive system for assessments of their suckling activities when they were 10-40 days old. The body mass (kg) and biometric measurements were also assessed at each 15 days from birth to 90 days of age. From 15 to 90 days of age, single lambs had superior (P < 0.05) body mass than those twins. Both for single and twins the daily weight gain substantially decreased (P < 0.05) after thirty days of age. There was a high correlation (i.e., r > 0.90; P < 0.05) between all biometric measurements and body mass of lambs. Both for single and twins the frequency of suckling decreases (P < 0.05) as the lambs grows older. At 20 days, mothers of twin lambs prevented more (P < 0.05) the suckling attempts than those of single lambs. Both for single and twin lambs the suckling success was lower (P < 0.05) when they were 20 days of age. The present study sheds some light on how the dynamics between growth performance of Morada Nova lambs and the maternal investment are linked
Terrorism from the Faculty of Education at Taif University Students' Viewpoint and the Role of the Social Media in Disseminating it (A field study)

The research aimed to identify terrorism from the Faculty of Education at Taif University students' viewpoint and the role of the Social Media in disseminating it. The research problem was formulated in the following question: What is terrorism from the Faculty of Education at Taif University students' viewpoint and the role of the Social Media in disseminating it? The research adopted the descriptive method due to the nature of the research, the research tools included the identification of terrorism from the Faculty of Education at Taif University students' viewpoint and the role of social media in disseminating it, and the research sample was intentionally chosen from the study population at the Faculty of Education from students of various departments, and the total sample was (40 students) The results of the research showed the Faculty of Education - Taif University students' identification of the concept of terrorism and its dimensions, as well as the presence of the Faculty of Education - Taif University students' identification of the causes of the phenomenon of terrorism, and that the Social Media has a clear role in the disseminating of the phenomenon of terrorism in general through the available capabilities which can exploited in this aspect. The research presented some recommendations which included preparing awareness programs for the students constantly explaining to them the concept, causes and risks of terrorism, especially cyber and electronic terrorism, as well as positive Social Media uses, and activating the roles of faculty members in raising awareness of the dangers of the Social Media in the aspects related to terrorism.
A Novel Dual-Alternating Direction Method of Multipliers for Spectral Unmixing

With the remarkable development of spectral unmixing, the sparse-representation-based approaches have emerged as a promising alternative. The sparse-representation-based approaches aim at finding the optimal subset of a spectral library that can optimally model each pixel of a given hyperspectral image in a semisupervised fashion. The classic sparse unmixing models are solved by the prime alternating direction method of multipliers (pADMMs). However, the computation task of pADMM is heavy and time consuming. In this letter, we design a novel dual-alternating direction method of multipliers (dADMMs) for the classic sparse unmixing models. We also present the global convergence analysis of our algorithm in some special cases. As shown in our experiments, the proposed algorithm is more effective than the state-of-the-art algorithms.
Inclusive education at a Spanish University: the voice of students with intellectual disability

Abstract Providing an inclusive education to students with intellectual disability in higher education is an emerging challenge. This paper presents the results of a research study that analyses the perceptions of graduates from the Promentor Programme (Universidad Autónoma de Madrid, Spain). The study follows a phenomenological design and employs qualitative research methodology. Two focus groups are conducted, with 14 participants in total. The participants’ perspective is structured around the following categories: (a) Quality of life and training received; (b) barriers encountered; (c) supports received; and (d) lecturers’ competences. In general, participants give their experience a positive assessment in relation to aspects such as social inclusion, professional and personal development or self-esteem. The study’s conclusions highlight the convenience of an inclusive and qualitative research design that will serve to hear the voices of persons with intellectual disability, as well as their perception of the positive impact of university education on their lives. Points of interest This article focuses on the perspective of Spanish university students with intellectual disability in order to understand their perceptions of their training experience in an inclusive higher education course. An inclusive research design is adopted which seeks to give voice to people with intellectual disability not only as participants, but also as members of the research team. The study confirms that, from the students’ perspective, university environments can be suitable for the education of students with intellectual disability; therefore, the creation of inclusive higher education programmes should be encouraged. University lecturers should receive training in inclusive education. Higher education institutions must take into account the voices of vulnerable groups of students in order to effectively eliminate existing barriers.
Aggregated Biomass Model Systems and Carbon Concentration Variations for Tree Carbon Quantification of Natural Mongolian Oak in Northeast China

Three systems of additive biomass models were developed and the effects of tree components, tree sizes, and tree growing regions on the carbon concentration were analyzed for Mongolian oak (Quercus mongolica Fisch. ex Ledeb.) in the natural forests of Northeastern China. The nonlinear seemingly unrelated regression (NSUR) method was used to fit each of the three systems simultaneously; namely, aggregated model systems with no parameter restriction (AMS0), aggregated model systems with one parameter restriction (AMS1), and aggregated model systems with three parameter restrictions (AMS3). A unique weighting function for each biomass model was applied to address the heteroscedasticity issue. The systems assertively guarantee the additivity property, in which, the summation of the respective predicted tree components (i.e., root, stem, branch, and foliage) will match the prediction of subtotals (i.e., crown and aboveground) and total biomass. Using one-, two-, and three-predictor combinations (i.e., D (diameter at breast height), D and H (total height), and D, H, and CL (crown length)) as the general model underlying formats, three systems of additive biomass model were developed. Our results indicate that (1) all of the aggregated model systems performed well and the differences between the systems were relatively small; (2) the rank order of the three systems based on an array of statistics are as follows: AMS0 > AMS1 > AMS3; (3) the carbon concentration significantly varied depending on the types of tree tissues and growing regions; (4) the regional respective component carbon concentration and regional weighted mean carbon concentration multiplied by observed biomass value appeared to be the best approach to calculate carbon stock.
Modelling labour productivity using SVM and RF: a comparative study on classifiers performance

Abstract The purpose of this paper is to propose a data-driven approach for preparation of Construction Labour Productivity (CLP) models from influencing labour factors. Two state-of-art machine learning-based classifiers, Support Vector Machine (SVM) and Random Forest (RF) were used for modelling CLP. First, a preliminary review of previous literature was carried out to extract all CLP related factors. Subsequently, the list of CLP factors were ranked in terms of most influential in Malaysian Residential standpoint by experienced Project Managers through a pilot survey. The most influential factors identified were labour’s lack of work experience, job category, education/training, nationality, skills, age and marital status. Data was collected based on these influencing factors from all construction workers in Malaysian Residential Projects. The data collected were used to develop CLP models using SVM and RF. The performance of the models was assessed using several statistical indices including Percentage of Correct (PC), Heidke Skill Score (HSS), the Probability of Detection (POD), the False Alarm Ratio (FAR) and the Peirce skill score (PSS). The SVM and RF simulated the CLP with high accuracy. The POD for both models was found above 90% in predicting different categories of productivity. The reliability plots showed a high efficiency of the models. The results indicate that the advanced machine learning methods can be used to achieve high accuracy in prediction of CLP. The present study can also be helpful for researchers and industry practitioners to understand how machine learning methods can be employed to learn more about productivity in construction and eventually improve the standards of construction labour productivity in Malaysia.
A 52-Year-Old Female with Multiple Swellings in Both Hands: Idiopathic Calcinosis Cutis

Calcinosis cutis is a rare disorder characterized by deposition of insoluble calcium salts in skin and subcutaneous tissue. Depending upon the aetiology, there are five subtypes of calcinosis cutis described in the literature; dystrophic, metastatic, idiopathic, iatrogenic, and calciphylaxis. Idiopathic calcinosis cutis is rarely described in the literature. We herein report a 52-year-old female presented with calcinosis cutis in both hands. After ruling out metabolic and systemic causes of abnormal calcium deposition, the patient was diagnosed with idiopathic calcinosis cutis. The patient was prescribed oral diltiazem (1 mg/kg). Despite limited treatment success in idiopathic calcinosis cutis, it is imperative to differentiate it from other disorders of calcium metabolism which can be managed by treating the underlying condition.
Hyperlipidemia: Insights into Mechanisms Involved in Modulation of Drug Pharmacokinetics and Response

Hyperlipidemia is associated with disturbances in plasma lipoproteins. These changes were shown to modify the pharmacokinetics of some lipophilic lipoprotein-bound drugs with some of these changes being clinically significant. In this manuscript potential mechanisms that might be involved in hyperlipidemia-induced changes in drug pharmacokinetics such as modulation of p-glycoproteins and liver metabolising enzymes activities and/or expression were investigated. P-glycoprotein gene expression (MDR1A/B) and activity was assessed in porcine (LLC-PK1) and murine (NRK-52E) proximal tubular renal epithelial cells that were maintained in normolipidemic- or hyperlipidemic-serum containing media and was compared to expression levels in serum-deprived cells. Gene expression of low density lipoprotein receptor (LDLr) and MDR1A/B along with cytochrome P450 CYP3A2 and 2C11 were also investigated in hepatocytes from normolipidemic and hyperlipidemic rats using qRT-PCR. Hyperlipidemic serum did not affect MDR1A/B gene expression in LLC-PK1 and NRK-52E cells. However, it significantly reduced p-glycoprotein activity in rifampin-treated and non-treated LLC-PK1 cells. Interestingly, p-glycoprein gene expression was induced in LLC-PK1 and NRK-52E cell lines upon serum starvation. Moreover, hepatocytes from hyperlipidemic rat livers had reduced LDLr, MDR1A/B, and CYP2C11 mRNA levels compared to normolipidemic rats. It is concluded that hyperlipidemia-induced changes in drug pharmacokinetics might be attributed to modulation of drug efflux/uptake, metabolism and/or excretion. Further, p-glycoprotein gene expression is potentially inducible by serum starvation in renal proximal tubular cells, which might be a novel detoxification mechanism by which these cells adapt to stressful conditions.
Carbon Monoxide Poisoning In Children: Which Cases Should Receive Advanced Cardiologic Evaluation?

Aim: This study aimed to determine the relationship between carboxy-hemoglobin (COHb) and neurological and cardiac effects in patients admitted to our pediatric emergency department with CO poisoning and identify the patients who require advanced cardiologic evaluation. Materials and methods: Between January 2013 and January 2016, 412 children with carbon monoxide poisoning admitted to our hospital were evaluated retrospectively. Results: The incidence of COHb, lactate, CK-MB (creatinine kinase-myocardial band), troponin I and BNP (B-type natriuretic peptide) levels were higher in patients with who had altered state of consciousness (p < 0.001, p < 0.001, p < 0.001, p < 0.001, p < 0.001, respectively). Hypotension was found in 8 (27.6%) of 29 (7%) patients with a Glasgow coma scale (GCS) score of 14 and below. BNP and troponin I levels were found to be high in patients with hypotension. For cardiac involvement, the sensitivity and specificity of COHb 20.1% value were 50.0% and 72.4%, respectively; and lactate at 2.95 mmol/L had a sensitivity and specificity value of 41.2% and 82.4% respectively. Conclusion: High BNP levels may be useful in determining the severity of intoxication in patients with altered state of consciousness. Cardiological evaluation should be performed in patients with a GCS score of 14 or lower or hypotension. Key words: Child, carbon monoxide, cardiac finding, neurological finding Special Issue of Health Sciences DOI: 10.7176/JSTR/6-03-29
Commentary on “Constraints on the Equations of State of stiff anisotropic minerals: rutile, and the implications for rutile elastic barometry” [Miner. Mag. 83 (2019) pp. 339–347]

Abstract The conclusion of Zaffiro et al. (2019; Constraints on the Equations of State of stiff anisotropic minerals: rutile, and the implications for rutile elastic barometry. Mineralogical Magazine, 83, 339–347) that the Mie–Grüneisen–Debye (MGD) Equation of State (EoS) cannot fit the available data for rutile is shown to be incorrect, even though rutile exhibits significant anisotropic thermal pressure which invalidates the quasi-harmonic approximation used as the basis for the MGD EoS. The refined parameters for the MGD EoS of rutile are: KTR0= 205.05(25) GPa, $K_{TR0}^{\prime} $ = 7.2(5), θD = 399(20) K, γ0= 1.40(2) and q = 1.5(7). This EoS predicts volumes, bulk moduli and volume thermal expansion coefficients for rutile at metamorphic conditions that are statistically indistinguishable from those predicted by the ‘isothermal’ type of EoS reported previously.
On the Strengthening and Embrittlement Mechanisms of an Additively Manufactured Nickel-Base Superalloy

Abstract The γ′ phase strengthened Nickel-base superalloy is one of the most significant dual-phase alloy systems for high-temperature engineering applications. The tensile properties of laser powder-bed-fused IN738LC superalloy in the as-built state have been shown to have both good strength and ductility compared with its post-thermal treated state. A microstructural hierarchy composed of weak texture, sub-micron cellular structures and dislocation cellular walls was promoted in the as-built sample. After post-thermal treatment, the secondary phase γ′ precipitated with various size and fraction depending on heat treatment process. For room-temperature tensile tests, the dominated deformation mechanism is planar slip of dislocations in the as-built sample while dislocations bypassing the precipitates via Orowan looping in the γ′ strengthened samples. The extraordinary strengthening effect due to the dislocation substructure in the as-built sample provides an addition of 372 MPa in yield strength. The results of our calculation are in agreement with experimental yield strength for all the three different conditions investigated. Strikingly, the γ′ strengthened samples have higher work hardening rate than as-built sample but encounter premature failure. Experimental evidence shows that the embrittlement mechanism in the γ′ strengthened samples is caused by the high dislocation hardening of the grain interior region, which reduces the ability to accommodate further plastic strain and leads to premature intergranular cracking. On the basis of these results, the strengthening micromechanism and double-edge effect of strength and ductility of Nickel-base superalloy is discussed in detail.
The relationship between psychological wellbeing, social support, and personality in an English police force

Police employees are exposed to a variety of complex, work-related stressors and are susceptible to experiencing reduced psychological wellbeing. To advance understanding of the personal and social factors underpinning psychological wellbeing in this population, the purpose of this study was to examine the relationship between psychological wellbeing, perceived support from colleagues, received support from colleagues and personality factors in police employees. A sample of 381 police employees from a county police force in England completed an online questionnaire assessing: psychological wellbeing; perceived support; received support; and personality factors. Psychological wellbeing was significantly and positively associated with perceived support from colleagues, received support from colleagues, extraversion, agreeableness, conscientiousness, emotional stability, and openness to experience. Further investigation of these relationships using multiple logistic regression analysis found that perceived support from colleagues, received support from colleagues, extraversion, and emotional stability significantly predicted psychological wellbeing. Given growing concerns about psychological wellbeing in police forces, the findings could help to inform the promotion of psychological wellbeing across operational and non-operational police employees. The results suggest that increasing both perceptions of available support and the amount of support received among employees in police forces is important for enhancing psychological wellbeing in this population. Furthermore, police employees with lower levels of extraversion and emotional stability should also be considered for additional support to promote psychological wellbeing.