Miracle-dz/UniFAR-FTUs huggingface dataset:
Moroccan High-school Students’ Attitudes towards Learning English as a Foreign Language

The process of learning a language is influenced by a number of factors. One of the most significant factors that has an influence on learning a language is attitude. Research in this area has demonstrated that learners’ attitudes are a constituent and crucial part of the learning process. As such, learners’ attitudes towards language should be dealt with as a critical component of second and foreign language learning pedagogy. Accordingly, the current study addresses the attitudes of Moroccan high-school students towards learning English as a foreign language. Specifically, the study aims to investigate Moroccan high-school students’ attitudes towards English, the reasons behind their attitudes and the impacts that such attitudes might potentially have. Generally speaking, the study found that the participants have highly favourable attitudes towards learning English for different reasons, a fact that results in positive impacts on students’ willingness to learn the language.Keywords: Attitudes; Language; EFL context
Media selection is highly predictable, in principle

Media research is, in part, interested in accurately explaining and predicting people’s media selection. Explanation is an accurate description of the causal mechanisms that govern media selection whereas prediction is focused on making accurate inferences about unobserved data. However, meta-analyses demonstrate that existing media selection theories and models have limited explanatory accuracy. The predictive accuracy of these theories and models is unknown. Our project bridges this gap by empirically specifying how predictable, in principle, media selection is. To achieve this ambition, we articulate key conceptual distinctions between explanation and prediction. Subsequently, we report three empirical studies that examine prediction accuracy as a function of model complexity and estimate the theoretical maximum predictability of people’s music-listening and web-browsing behaviors. Approximately 80% of music selection and 60% of web-browsing behaviors are predictable. Moreover, a simple Markov Chain model that uses information about people’s prior media selection can achieve about 20% prediction accuracy for music selection and 10% accuracy in predicting web-browsing. By estimating the maximum predictability of people’s media selection behavior, we gain a first-ever benchmark by which media selection theories and models can be compared. More broadly, we show how simple models that account for the sequential dependency in media selection lend new insights and suggest novel directions for future theory development.
Analisis Peraturan Daerah Berperspektif Syariah Islam Di Indonesia Ditinjau Dari Konsep Hak Asasi Manusia Analysis Local Regulation Islam Syariah Perspective In Indonesia Based On Human Rights Concept

The Bird Of autonomous region since 1999 as the embodiment of the democratic system in indonesia, has given an overwhelming urge for area to set up its territory in accordance with the aspirations of the community in the area. With the autonomous region, then the set of all vying for the affairs related to its territory into local regulations. The most significant in this Reformation that the majority of citizens are Muslim Indonesia has strong influence in the area, it is marked by the emergence of the phenomenon of legal Regulations The product Islam Syariah perspective. Regulation of The Islam Syariah perspective jurisprudence has given rise to an implication in violations of human rights and Split the nation.
A strategy for estimating the impact of CO2 fertilization on soil carbon storage

As soils are a likely candidate for the so called missing carbon sink, we explore the possible impact of CO2 fertilization on the global humus inventory. For any given greening-induced enhancement of plant growth, the increase in soil carbon inventory will depend on the spectrum of turnover times with respect to oxidation. Here we develop estimates of carbon turnover rates based on soil radiocarbon measurements.
A Structured Pre- and Post-Operative Voice Therapy Program for Benign Vocal Fold Lesions

Benign vocal fold lesions (BVFLs) are acquired structural anomalies of the vocal folds, and these are primarily a result of vocal abuse or phonotrauma. Phonotraumatic lesions are not generally regarded as recurrent, provided that appropriate behavioral changes are made after resolution or surgical removal. Voice therapy plays a crucial role in this aspect. The aim of this article is to propose a structured pre- and post-operative voice therapy program for patients undergoing surgical intervention for BVFLs. Voice therapy post-surgery has been proven to reduce the rate of recurrence in BVFLs. Having a standard treatment protocol is a useful tool for the therapist, particularly one without extensive voice training.
Cas-PRED: A Limited-Angle Cone Beam CT Reconstruction Research Based on Prior Information

Due to limitations in radiation dose or scanning conditions, there are instances where computed tomography (CT) data can only be collected within a restricted scanning angle. However, the use of limited-angle projection data often results in reconstructed images that exhibit significant noise and artifacts, which can significantly impact diagnostic accuracy. Conventional iterative reconstruction algorithms, such as the total variation (TV) algorithm, consume considerable time simulation of the cone beam forward and backward projection processes. Furthermore, these algorithms often struggle to address the challenges of limited-angle reconstruction due to their inherent limitations. To tackle these challenges and achieve superior reconstruction outcomes, we introduce a novel approach known as the cascaded prior-based residual encoder–decoder (Cas-PRED) network. This method employs a multilevel cascaded network as its core architecture, leveraging full-angle CT reconstruction results as prior information to guide the deep learning network’s training process. Our approach consistently delivers superior results compared with the existing reconstruction methods, with impressive performance metrics, including a peak signal-to-noise ratio (PSNR) of 33.69 ± 0.90 dB, a structural similarity index (SSIM) of 0.9557 ± 0.0029, and a root-mean-square error (RMSE) of 22.73 ± 1.56 for the result of [0°, 150°] reconstruction, highlighting its effectiveness in enhancing image quality and accuracy.
Temporal-spatial Distribution of Soil Water Content in Loess Slope Subjected to Rainfall Infiltration

To understand the variation of soil water content in loess slope due to rainfall infiltration,the soil water content and rainfall were monitored on a typical natural loess slope in Baota Mountain of Yan'an City, Shaanxi Province.The monitoring results showed that there was temporal hysteresis and spatial difference in the responses of soil water content to rainfall infiltration.The impact depth of rainfall infiltration was less than 1.0mwhen the daily rainfall was 10mm or the 10-day cumulative rainfall reached 70mm.When the daily rainfall was 50mm or the 10-day cumulative rainfall reached 140mm,the impact depth was less than 2.0m. The rate of rainfall infiltration was 0.04m/h at the shallow depth of 0.2mand it decreased to 0.033 m/h from the depth of 0.2mto 1.0mwhen the cumulative rainfall reached to 10.4mm per hour at the study area.The rainfall infiltration rate decreased with the increase of depth.
The Impact of Green Supply Chain Practices Towards Operational Performances Among SMEs in Penang, Malaysia

This research aimed to examine the relationship between green supply chain practices and operational performance among small and medium enterprises (SMEs) in Penang, Malaysia. The practices of green supply chain in achieving operational performance have been a priority concern in Malaysia. Nevertheless, the concept of green supply chain practices adoption is in embryonic phase. The study used multiple regression analysis to investigate the green supply chain (GSC) practices and operational performance variables. The 120 self-administered questionnaires were randomly distributed among SMEs in Penang, Malaysia, with 59 responses collected. Theoretically, the research ascertained the positive relationship between GSC practices and operational performance variables. The findings align with the underlying theory of dynamic capabilities, which conceptualizes GSC practices and strategies to sustain operational performance within SMEs. In short, the findings of this research provided the research implications and recommendations to the researchers, industrial practitioners and policymakers who are having interest in these GSC practices and operational performance. This research served as a guideline for companies that tend to implement these GSC practices for improving its operational performance. The research revealed that both eco-design and packaging and reverse logistics practices are found to be significantly related to operational performance, but both green procurement and investment recovery practices found to be not significantly related to operational performance. There are gaps in the literature, hence, further research should be carried out on supply chain practices and operational performance. There are no fixed formulas for sustaining operational performance that match all conditions in Penang SMEs.
Sensitivity of Antarctic Precipitation to Sea Ice Concentrations in a General Circulation Model

Abstract Several recent studies have highlighted the connections among observed climate variability, such as the Southern Oscillation, sea ice cover, and Antarctic precipitation. The direct contribution of observed sea ice variability to precipitation has not yet been investigated. The sensitivity of Antarctic precipitation to a range of sea ice concentrations is investigated using the Community Climate Model version 3 (CCM3) general circulation model. Sea ice concentrations derived from passive-microwave satellite imagery from 1979 to 1991 are used as surface boundary conditions for climate simulations in a model that resolves both ice-covered and ice-free fractions of each grid cell. Simulations are performed with climatological average ice concentrations, maximum and minimum concentrations, and an ensemble of simulations with interannually varying concentrations from 1979 to 1991. The minimum-ice run produces greater precipitation and onshore winds along the Antarctic coastal topography, except for the.
Optimizing The Role of Service Quality Towards Satisfaction Through Trust in BPJS Ketenagakerjaan Participants

This study aims to analyze the effect of service quality and trust on the satisfaction of workers who have participated in the BPJS for Employment Sidoarjo Branch Office, as well as analyze the mediating role of trust in the effect of service quality on satisfaction. This research is a causal research with a quantitative approach. Collecting research data using a questionnaire distributed to formal and informal workers who have become members of the BPJS for Employment Sidoarjo Branch Office social security. Sampling using purposive sampling. Data analysis technique using PLS SEM analysis. The results of the study explain that service quality and trust have a positive effect on participant satisfaction at the BPJS for Employment Sidoarjo Branch Office. The results of the study also explain that trust can mediate the effect of service quality on participant satisfaction at the BPJS for Employment Sidoarjo Branch Office. These results explain that the better the quality of service from the BPJS for Employment and the better the level of trust from workers who are program participants will be able to increase the satisfaction of workers who are participants in the social security program. In addition, improving the quality of services that are getting better from BPJS for Employment staff will be able to increase company confidence in the services provided and then lead to higher satisfaction with employment social security services provided by BPJS for Employment.
SEARCHING FOR AN UNDERLYING MECHANISM GOVERNING PRE-SERVICE TEACHER ASSESSMENT IN THE NORTHWEST OF ENGLAND: AN EXAMPLE OF ADOPTING A CRITICAL REALISM APPROACH FOR TEACHER EDUCATION RESEARCH

Bhaskar [1] proposed and argued for critical realism in natural sciences. Other authors have extended Bhaskar’s [1] arguments to include the social sciences [2], and to attempt to translate his philosophical position into useful research methodologies that can compete with positivist, constructivist, and pragmatic research paradigms [3]. Critical realism describes both intransitive and transitive components of human knowledge. It proposes underlying structures and mechanisms in the Real Domain that exist independently of human observers and possess the potential to govern events occurring in the Actual Domain [1]. Events that can be experienced and investigated as phenomena by human observers form a subset that occupies the Empirical Domain where researchers normally operate [1]. For critical realists, this positivist stance is balanced by the constructivist element to knowledge. As research is also a social activity, it results in knowledge regarding external structures and mechanisms that is also undeniably socially constructed [1] [2]. Critical realism [1] [2] claims to provide a philosophical and research paradigm solution to conflicts in ontology, epistemology, and axiology when conducting mixed methods studies [3]. Further, some researchers have advocated adopting a critical realism approach for synthesising the contributions of quantitative and qualitative data collected in such investigations, even in hindsight [4]. This paper considers the adoption of a critical realism approach late in a research project. A mini thesis drew together nine research articles in the field of teacher training and education that were published in peer reviewed journals between 2013 and 2019. These formed part of a PhD by published works submission [5]. The application of a critical realism approach as a triangulation of mixed methods data and findings using stages described by Bygstad and Munkvold [6] was found to be useful in formulating a concluding model for a complex project. However, a major criticism of the approach is also considered: that the same conclusions would have been reached following other research paradigm methodologies.
The role of mesozooplankton grazing in the biogeochemical cycle of silicon in the Southern Ocean

Feeding activity, selective grazing and the potential grazing impact of two dominant grazers of the Polar Frontal Zone, Calanus simillimus and Rhincalanus gigas, and of the copepods < 2 mm were investigated with incubation experiments in the course of an iron fertilized diatom bloom in November 2000. All grazers were already actively feeding in the low chlorophyll waters prior to the onset of the bloom. C. simillimus maintained constant clearance rates, fed predominantly on diatoms and increased ingestion with the developing bloom. R. gigas and the small copepods strongly increased their clearance and ingestion of diatoms in response to their enhanced availability in the environment. All grazers preyed on microzooplankton, most steadily on ciliates, confirming the view that pure herbivory appears to be the exception rather than the rule in copepod feeding. The grazers exhibited differences in feeding behavior based on selectivity indices. C. simillimus and R. gigas showed prey switching from dinoflagellates to diatoms in response to the phytoplankton bloom. All grazers preferentially grazed on large diatoms leading to differences in daily loss of standing stock for large and small species, e.g. Corethron sp. or Thalassionema nitzschioides. Species-specific diatom mortality rates due to grazing suggest that the high feeding activity of C. simillimus prior to and during the bloom played a role in shaping diatom population dynamics.
Nymphal life history and growth of Atalophlebioides cromwelli (Ephemeroptera: Leptophlebiidae) in the Selwyn River (South Island, New Zealand) and the effect of a very large flood

The nymphal life history of the leptophlebiid mayfly Atalophlebioides cromwelli was examined in two successive years at Chamberlains Ford in the lower reaches of the Selwyn River, eastern South Island, New Zealand. Small-medium sized nymphs were first found in August-September and mean nymphal size increased steadily into summer when final instar nymphs were found (December – February). An absence of nymphs from March to August suggests that the species may have delayed hatching eggs, or that very small nymphs may be hyporheic. A massive flood in August 2008 appeared to have little effect on the nymphal population, which was more abundant in September and October 2008 than in the same months the previous year. However, population size declined rapidly thereafter and final instar nymphs were found only in December. Mean specific growth rate of nymphs was 0.01-0.03 day -1 in most months
Distribution and fishery of the bullet tuna Auxis rochei (Risso, 1810) along the

Auxis rochei the smallest of all tuna species available in Indian waters is distributed along all maritime states but forms a fishery of commercial importance only in the south-west and south east regions (Karnataka, Kerala and Tamil Nadu). The fish is in great demand in southern part of the country and targeted fishery is being carried out in southern Kerala and Tamil Nadu. The average annual catch (2006-2013) is estimated at 2,637 t contributing 3.7% of the total tuna landings. The maximum catch of 4,370 was observed during 2011.Commercial exploitation is mainly by gillnets and small hook and lines with the 0-1yr old fishes comprising bulk of the commercial catch. The length weight relationship is given by the formula W=0.0076L 3.249 with
Effects of cyclic freezing and thawing on volume changes and permeabilities of soft fine-gained soils

Soft, fine-grained soils were exposed to cyclic one-dimensional, open-system freezing and thawing, resulting in maximum volume changes of up to 30%, depending on the initial moisture content and plasticity of the clay as well as on the rate of freezing. A linear relationship between the net volume changes subsequent to freezing and thawing and the liquidity index prior to freezing and thawing was obtained. This correlation is not unique, but depends on rate and mode of freezing. Thus, settlements from freezethaw consolidation in the field can be predicted from such tests if the rate and mode of freezing are the same as in the field. During cyclic freezing and thawing the soils became fissured and jointed, resulting for most clays in large increases in their bulk permeabilities, which increased with an increasing number of freezethaw cycles, often by more than two orders of magnitude. For some materials, however, little change in permeability occured. Key words: cyclic freezethaw, clays, freezethaw con.
Exploring the impact of songs on student cognitive and emotional development

This scholarly article investigates the impact of diverse songs on second language (L2) learning, emphasizing cognitive, kinesthetic, and emotional engagement. This research recognizes songs as literary expressions, specifically through the lens of lyrics as literary texts, and explores their historical and ongoing significance in L2 education. Beyond linguistic proficiency, the article delves into the broader implications of integrating songs into language education. Educators observe that incorporating music fosters a positive learning environment, contributing to increased motivation and engagement among learners. The discussion in this article addresses the gaps in the integration of literary texts, including songs, into language education. It criticizes the tendency of tertiary foreign language programs to overemphasize 'literature' at the expense of linguistic aspects and the opposite approach at the lower secondary level, which focuses on linguistic aspects while neglecting literary involvement. The results of this literature review highlight the need to recognize the profound impact that literary texts, including songs, have on individual learners, urging the incorporation of artistic elements into language teaching practices in a more comprehensive and balanced manner. This article emphasizes that literature, through stories and narratives, contributes to the emotional development of learners, fostering empathy and understanding of 'otherness. ' This research advocates the balanced and thoughtful integration of literature in FL classrooms, recognizing its capacity to go beyond language instruction and contribute to broader education and individual growth.
Hyperspectral Image Classification Promotion Using Dynamic Convolution Based on Structural Re-Parameterization

In a hyperspectral image classification (HSIC) task, manually labeling samples requires a lot of manpower and material resources. Therefore, it is of great significance to use small samples to achieve the HSIC task. Recently, convolutional neural networks (CNNs) have shown remarkable performance in HSIC, but they still have some areas for improvement. (1) Convolutional kernel weights are determined through initialization and cannot be adaptively adjusted based on the input data. Therefore, it is difficult to adaptively learn the structural features of the input data. (2) The convolutional kernel size is single per layer, which leads to the loss of local information for a large convolutional kernel or global information for a small convolutional kernel. In order to solve the above problems, we propose a plug-and-play method called dynamic convolution based on structural re-parameterization (DCSRP). The contributions of this method are as follows. Firstly, compared with traditional convolution, dynamic convolution is a non-linear function, so it has more representation power. In addition, it can adaptively capture the contextual information of input data. Secondly, the large convolutional kernel and the small convolutional kernel are integrated into a new large convolutional kernel. The large convolutional kernel shares the advantages of the two convolution kernels, which can capture global information and local information at the same time. The results in three publicly available HSIC datasets show the effectiveness of the DCSRP.
PHENOTYPIC DIVERSITY OF WALNUT (Juglans regia L.) IN ROMANIA - OPPORTUNITY FOR GENETIC IMPROVEMENT

Romania has significant walnut (Juglans regia L.) trees, most of which are seedling-grown trees. Due to the extensive variability of biological material, the result of cross pollination and generative propagation prevailed about by natural dissemination or anthropogenic, Oltenia region of Romania has rich phenotypic diversity in walnut genotypes. In this study, phenotypic diversity of 80 walnut genotypes was investigated. Walnut genotypes with promising fruits characteristics were identified . Among the selections studied, the ranges of 6.61-20.66 g nut weight, 2.95-9.07 g kernel weight and 35.87-63.76% kernel ratio were observed. The most promising genotypes will be used to the benefit of conservation research, breeding and production.