Miracle-dz/UniFAR-FTUs huggingface dataset:
The Perception of Teachers and Students towards Using Myaccounting to Learn Principles of Accounting in Vocational Colleges, Malaysia

Principles of Accounting is a core subject offered to the Diploma of Business Management students in vocational colleges, Malaysia. However, they struggle to understand the concept of accounting because each topic is seen as disconnected from one another and this results in poor comprehension of the subject which can lead to a lack of understanding in related future subjects. Therefore, myAccounting is developed to assist students to connect the missing dots by producing the whole set of accounting reports sequentially, quickly, and correctly. This study aims to describe myAccounting and the perception of teachers and students towards using it in their teaching and learning of the subejct. Quantitative data were gathered on the implementation of myAccounting in 47 vocational colleges. The findings showed that myAccounting has assisted students to better understand the foundation of Principles of Accounting, making it easier for them to grasp complex accounting concepts and excel in their upcoming business subjects during their studies. It also helps them recall key accounting vocabulary and report formats which allow them to navigate the world of finance with confidence. As much as teachers are concerned, myAccounting has been found useful as instructional material due to its user-friendly, mobility, and easy accessibility features. It has also reduced teachers’ burden in preparing the accounting format repeatedly, and manually. The use of myAccounting can potentially be further extended with the inclusion of the double-entry
Single donors in silicon for atomic scale devices

This thesis describes a detailed characterization of the atomic scale properties of individual donor atoms in silicon. A cross sectional sample preparation technique was developed, allowing us to study cleaved silicon surfaces using scanning tunnelling microscopy (STM). The Si(111)-2x1 surface is characterized and in particular the properties of anti phase boundaries are investigated. We identify a strain induced band shift associated with the boundaries and furthermore show that they can be controllably manipulated, making them an ideal model system to study and control strain in silicon at the atomic scale. To enable the characterization of individual deep dopants such as bismuth (Bi), which are not used in semiconductor industry, a novel STM sample preparation method was developed. We demonstrate that ion implantation can be used to produce almost defect free samples with high Bi concentrations, suitable for STM measurements. Using cross sectional STM we are furthermore able to laterally resolve the implanted dopant profile and visualize its influence on the band structure of the silicon host crystal. The new sample preparation method is used to investigate the fundamental properties of different group V dopants at the atomic scale. We identify individual bismuth and antimony donors in the Si(111)-2x1 surface and show that their large dopant cores not only induce new atomic reconstructions but also influence the measured charge states. Using scanning tunnelling spectroscopy we furthermore resolve the Coulomb potential well of individual dopants and characterize the influence of surface states on charge screening at the atomic scale. In addition to the described STM work, a state of the art cleanroom fabrication process was developed to allow the placement of individual dopants in silicon with atomic scale precision. This will enable the use of the insights gained about individual donors in this thesis for the fabrication of future single dopant devices.
Low unspliced cell-associated HIV RNA in early treated adolescents living with HIV on long suppressive ART

Introduction Initiation of antiretroviral treatment (ART) in patients early after HIV-infection and long-term suppression leads to low or undetectable levels of HIV RNA and cell-associated (CA) HIV DNA and RNA. Both CA-DNA and CA-RNA, overestimate the size of the HIV reservoir but CA-RNA as well as p24/cell-free viral RNA can be indicators of residual viral replication. This study describes HIV RNA amounts and levels of cytokines/soluble markers in 40 well-suppressed adolescents who initiated ART early in life and investigated which viral markers may be informative as endpoints in cure clinical trials within this population. Methods Forty adolescents perinatally infected with HIV on suppressive ART for >5 years were enrolled in the CARMA study. HIV DNA and total or unspliced CA-RNA in PBMCs were analyzed by qPCR/RT-qPCR and dPCR/RT-dPCR. Cell-free HIV was determined using an ultrasensitive viral load (US-VL) assay. Plasma markers and p24 were analyzed by digital ELISA and correlations between total and unspliced HIV RNA and clinical markers, including age at ART, Western Blot score, levels of cytokines/inflammation markers or HIV CA-DNA, were tested. Results CA-RNA was detected in two thirds of the participants and was comparable in RT-qPCR and RT-dPCR. Adolescents with undetectable CA-RNA showed significantly lower HIV DNA compared to individuals with detectable CA-RNA. Undetectable unspliced CA-RNA was positively associated with age at ART initiation and Western Blot score. We found that a higher concentration of TNF-α was predictive of higher CA-DNA and CA-RNA. Other clinical characteristics like US-VL, time to suppression, or percent CD4+ T-lymphocytes were not predictive of the CA-RNA in this cross-sectional study. Conclusions Low CA-DNA after long-term suppressive ART is associated with lower CA-RNA, in concordance with other reports. Patients with low CA-RNA levels in combination with low CA-DNA and low Western Blot scores should be further investigated to characterize candidates for treatment interruption trials. Unspliced CA-RNA warrants further investigation as a marker that can be prioritized in paediatric clinical trials where the sample volume can be a significant limitation.
Progradation Rates Measured at Modern River Outlets: A First‐Order Constraint on the Pace of Deltaic Deposition

We present a compilation of modern shoreline progradation rates measured close to river outlets entering deltaic coastlines, and we discuss how these observations relate to the overall evolution of both modern and ancient deltaic coastlines. We analyzed Landsat‐derived satellite images to identify plan view changes in the subaerial morphology of 331 modern deltaic coastlines. Our rate compilation (km2/year) had a lognormal distribution with parameters μ = −1.85 and σ2 = 1.01. We found that the rate data could be predicted to within an order of magnitude by an empirically derived power law using only fluvial water discharge and suspended sediment load as input parameters ( rpro=10−2.3Qw0.59Qs0.34 ). We justified this river‐centric model of our progradation rates by assuming that delta progradation rates measured close to river outlets were more reflective of fluvial processes than of basinal processes, and preliminary tests supported this assumption. Our rate compilation and empirical model could provide useful constraints to guide stratigraphic analysis of ancient source‐to‐sink systems and to build analog and numerical models.
Milk fatty acid profile of cows grazing elephant grass BRS Kurumi pasture with and without energy supplementation

This study evaluated the effects of energy supplementation on the intake and milk fatty acid composition of cows grazing BRS Kurumi elephant grass pasture during the rainy season. Two treatments (with and without supplementation) were evaluated using a switchback design with six Holstein × Gyr dairy cows after the peak of lactation. The average milk yield, body weight, and days in milk of the cows at the beginning of the study were 18.0±2.89 kg day−1, 560±66 kg, and 99±12, respectively. The evaluations were performed over three grazing cycles, with adaptation periods of 14 days and six days of sampling. In the energy supplementation treatment, each cow received 3 kg day−1 of ground corn (as-fed basis), with 2 kg day−1 at the morning milking and 1 kg day−1 at the afternoon milking. The ground corn presented 87.5% dry matter, 7.3% crude protein, 5.1% ether extract, and 85% of total digestible nutrients. The cows supplemented with ground corn consumed more oleic (+567%) and linoleic (+88%) acids. Unsupplemented cows consumed 26% more α-linolenic acid and produced milk with more oleic (+10%), vaccenic (+23%), and rumenic (+21%) acids, and less (−7%) pro-atherogenic fatty acids (lauric + myristic + palmitic acids). Milk fat from unsupplemented cows showed better nutritional quality, with lower atherogenicity and thrombogenicity indices and a higher hypo/hypercholesterolemic fatty acid ratio.
Logistics and Supply Chain Management on Industry Perspective: The Needs for Vocational High School Curriculum

The purpose of this study is to examine the logistics and supply chain management included in the independent curriculum in phase F for the Office Automation and Management Expertise Program for Vocational High School students with job needs in the industry. This is important because the main goal of the Vocational High School is to create graduates who are ready to work according to industry needs. This research was conducted using the Miles and Hubberman Model qualitative research, where this research was conducted at one of the well-known logistics and supply chain companies in Indonesia, namely J&T. Data collection in this study used observation, documentation, and interview techniques conducted by researchers directly to the objects studied at the J&T company. The results of this study indicate that in general the independent curriculum in phase F for the Office and Business Service Management Expertise Program on logistics and supply chain management is not fully following industry needs, a study on J&T companies. However, there are several job specifications and organizational structures that need to be understood by prospective graduates so that the skills learned at school can fully match the needs of the industry. In addition, teachers and students must learn the special characteristics possessed by logistics and supply chain companies in Indonesia so that specializing in concentration can help students prepare their skills to be fully absorbed by the workforce.
Heterogeneous text graph for comprehensive multilingual sentiment analysis: capturing short- and long-distance semantics

Multilingual sentiment analysis (MSA) involves the task of comprehending people’s opinions, sentiments, and emotions in multilingual written texts. This task has garnered considerable attention due to its importance in extracting insights for decision-making across diverse fields such as marketing, finance, and politics. Several studies have explored MSA using deep learning methods. Nonetheless, a majority of these studies depend on sequential-based approaches, which focus on capturing short-distance semantics within adjacent word sequences, but they overlook long-distance semantics, which can provide more profound insights for analysis. In this work, we propose an approach for multilingual sentiment analysis, namely MSA-GCN, leveraging a graph convolutional network to effectively capture both short- and long-distance semantics. MSA-GCN involves the comprehensive modeling of the multilingual sentiment analysis corpus through a unified heterogeneous text graph. Subsequently, a slightly deep graph convolutional network is employed to acquire predictive representations for all nodes by encouraging the transfer learning across languages. Extensive experiments are carried out on various language combinations using different benchmark datasets to assess the efficiency of the proposed approach. These datasets include Multilingual Amazon Reviews Corpus (MARC), Internet Movie Database (IMDB), Allociné, and Muchocine. The achieved results reveal that MSA-GCN significantly outperformed all baseline models in almost all datasets with a p-value < 0.05 based on student t-test. In addition, such approach shows prominent results in a variety of language combinations, revealing the robustness of the approach against language variation.
Adaptive LDA Classifier Enhances Real-Time Control of an EEG Brain–Computer Interface for Decoding Imagined Syllables

Brain-Computer Interfaces (BCIs) aim to establish a pathway between the brain and an external device without the involvement of the motor system, relying exclusively on neural signals. Such systems have the potential to provide a means of communication for patients who have lost the ability to speak due to a neurological disorder. Traditional methodologies for decoding imagined speech directly from brain signals often deploy static classifiers, that is, decoders that are computed once at the beginning of the experiment and remain unchanged throughout the BCI use. However, this approach might be inadequate to effectively handle the non-stationary nature of electroencephalography (EEG) signals and the learning that accompanies BCI use, as parameters are expected to change, and all the more in a real-time setting. To address this limitation, we developed an adaptive classifier that updates its parameters based on the incoming data in real time. We first identified optimal parameters (the update coefficient, UC) to be used in an adaptive Linear Discriminant Analysis (LDA) classifier, using a previously recorded EEG dataset, acquired while healthy participants controlled a binary BCI based on imagined syllable decoding. We subsequently tested the effectiveness of this optimization in a real-time BCI control setting. Twenty healthy participants performed two BCI control sessions based on the imagery of two syllables, using a static LDA and an adaptive LDA classifier, in randomized order. As hypothesized, the adaptive classifier led to better performances than the static one in this real-time BCI control task. Furthermore, the optimal parameters for the adaptive classifier were closely aligned in both datasets, acquired using the same syllable imagery task. These findings highlight the effectiveness and reliability of adaptive LDA classifiers for real-time imagined speech decoding. Such an improvement can shorten the training time and favor the development of multi-class BCIs, representing a clear interest for non-invasive systems notably characterized by low decoding accuracies.
Human Leukocyte Antigen Markers for Distinguishing Pustular Psoriasis and Adult-Onset Immunodeficiency with Pustular Reaction

Pustular skin diseases, with pustular psoriasis (PP) being the prototype, are immune-mediated diseases characterized by the presence of multiple pustules, resulting from neutrophil accumulation in the layer of epidermis. Sterile skin pustular eruption, like PP, is also observed in 20–30% of patients with adult-onset immunodeficiency syndrome (AOID) and anti-interferon γ autoantibodies (IFN-γ), leading to challenges in classification and diagnosis. While the mechanism underlying this similar phenotype remains unknown, genetic factors in relation to the immune system are suspected of playing an important role. Here, the association between human leukocyte antigen (HLA) genes, which play essential roles in antigen presentation, contributing to immune response, and the presence of skin pustules in AOID and PP was revealed. HLA genotyping of 41 patients from multiple centers in Thailand who presented with multiple sterile skin pustules (17 AOID patients and 24 PP patients) was conducted using a next-generation-sequencing-based approach. In comparison to healthy controls, HLA-B*13:01 (OR = 3.825, 95%CI: 2.08–7.035), C*03:04 (OR = 3.665, 95%CI: 2.102–6.39), and DQB1*05:02 (OR = 2.134, 95%CI: 1.326–3.434) were significantly associated with the group of aforementioned conditions having sterile cutaneous pustules, suggesting a common genetic-related mechanism. We found that DPB1*05:01 (OR = 3.851, p = 0.008) and DRB1*15:02 (OR = 3.195, p = 0.033) have a significant association with pustular reaction in AOID patients, with PP patients used as a control. A variant in the DRB1 gene, rs17885482 (OR = 9.073, p = 0.005), was observed to be a risk factor for PP when using AOID patients who had pustular reactions as a control group. DPB1*05:01 and DRB1*15:02 alleles, as well as the rs17885482 variant in the DRB1 gene, were proposed as novel biomarkers to differentiate PP and AOID patients who first present with multiple sterile skin pustules without known documented underlying conditions.
Summer Coding Camp: Curriculum, Experiences, and Evaluation

Many education-related organizations in the U.S., from the National Science Foundation down to local districts, have been pushing to introduce computer science concepts into K-12. Nevertheless, many students complete high school never having the chance to learn CS. We have created a summer coding camp for high-school students (including 8th graders entering 9th grade) and designed a multi-year study to assess its effectiveness as an informal learning environment , based on theories of human motivation such as Self-Determination Theory 1 . The camp is a 1-week immersion experience, 9am to 5pm with food and activities, that introduces basic programming via MIT APP Inventor. Lecture material and in-class exercises draw upon meaningful applications, many appealing to “social good. ” One unique aspect is the inclusion of professional and career development activities that engage students and broaden perspectives on CS and its applications. For example, the camp includes a college information session, alumni talks, off-site visits to nearby companies, and research talks and demos by faculty. Using a pre-and-post survey design, the current study examines the effects of the camp on student self-efﬁcacy and interest in computing, as well as general school engagement and motivation. Results conﬁrm that participation in the summer camp increased students’ self-efﬁcacy and interest in computing, enhanced engagement in school on topics in general, and strengthened intrinsic motivation for completing schoolwork. The effects were similar for boys and girls.
Tectonic interpretation of the metamorphic field gradient south of the Koralpe in the Eastern Alps

Abstract In order to constrain tectonic models for the nature of the Eoalpine high pressure belt at the eastern end of the Alps, we investigate the formation pressure of metamorphic rocks along a profile between the Koralpe and the well-known UHP rocks of the southern Pohorje mountains. Rocks from three different regions are considered: (i) the rocks of the southernmost Koralpe to the north, (ii) the rocks of the Plankogel Unit between the Plankogel detachment and the Drava valley and (iii) the rocks between the Possruck range and the southern Pohorje mountains. In the Koralpe, pelitic rocks record a formation pressure around 15 – 18 kbar, as reported in the literature. For the Plankogel Unit, we derive pressures between 7.1 ± 1.95 kbar and 11.5 ± 3.42 kbar at 650 °C and recognize only a single Eoalpine metamorphic event. For the high grade rocks of the Pohorje mountains, we derive peak metamorphic pressures (explored with the garnet-muscovite-kyanite-quartz assemblage) that rise from 16.2 ± 3.45 kbar (at 700°C) in the north, to 23.9 ± 2.49 kbar (at 700 °C) in the south. There, we also recognize a later lower pressure event that is derived from pressure calculations with the full equilibrium assemblage. This lower pressure event yields similar conditions around 10 ± 2 kbar at 650 °C for the entire north-south transect within the Pohorje mountains. Peak metamorphic conditions in the Koralpe and Pohorje regions are matched by a continuous field gradient of about 1.3 kbar per 10 kilometers distance corresponding to a depth increase of about 0.5 km per kilometers distance assuming lithostatic conditions. We suggest that this supports that the two units may be interpreted together in terms of a 45° dipping subducting plate. Above this subducting plate, it is inferred that a slab was extracted that was located between the Plankogel Unit and the high pressure rocks, causing a first exhumation stage that is associated with buoyant upwards tilting of the subducted slab to mid crustal levels. Within this model, the Plankogel Unit was located in the hanging wall of the extracted slab and the Plankogel detachment forms the suture of the extracted slab. Exhumation from mid crustal levels to the surface during a 2nd stage occurred due to erosion and normal faulting. This normal faulting is responsible for some 10 km of upward displacement of the Pohorje mountains relative to the Koralpe and ultimately for the current distribution of lithologies on a map scale.
Slip Rate Variation Along the Kunlun Fault (Tibet): Results From New GPS Observations and a Viscoelastic Earthquake‐Cycle Deformation Model

The slip rate and its spatial variations of the Kunlun fault (KLF) play important roles in the tectonic evolution of the northeastern Tibetan Plateau. Here the slip rate of the Tuosuo Lake (TL) segment of the KLF, which remains controversial from various geological observations, is investigated with a dense Global Positioning System observation profile. With a viscoelastic earthquake‐cycle deformation model, the slip rate of the TL segment is estimated to be 5.5 ± 0.7 mm/a, in comparison with an overestimated value of 9.2 ± 1.1 mm/a from an elastic model. Combined with previous results, we infer that the slip rate of the KLF likely decreases gradually from the TL segment toward the eastern tip, rather than remaining uniform along the fault or decreasing rapidly within the easternmost 150 km. The estimated lower crust viscosity (~1018 Pa · s) agrees with values inferred from postseismic studies, which suggests a weak ductile lower crust in this region.
Energy-Related Traffic Increases Fugitive Dust, with Mixed Effects on Bakken Cropland Trophic Levels

iii ACKNOWLEDGEMENTS . iv LIST OF TABLES . viii LIST OF FIGURES . ix CHAPTER 1: FUGITIVE DUST DEPOSITION AND EXPOSURE IMPAIRS PLANT PHYSIOLOGY: SYSTEMATIC REVIEW AND META-ANALYSIS . 1 Abstract .
Evaluation of the Compost’s Maturity of Different Mixtures of Olive Pomace and Poultry Manure

The environmental menace presented by olive pomace, a solid residue generated in the course of olive oil production, has been firmly established. Numerous investigations have underscored the efficacy of olive pomace as a soil enhancement. As a result, our examination centres on amplifying its agricultural advantages by means of com - posting and amalgamating it with other refuse materials. This strategy is designed to alleviate the environmental repercussions of olive pomace and trim down restoration expenses, thereby contributing to the transition toward a circular economy. Combinations for composting, comprising 15% to 50% olive pomace serving as a carbon input and 50% to 85% poultry manure as a nitrogen source, successfully underwent a 120-day composting procedure in barrels. The aim is to juxtapose the physic-chemical and microbiological traits of the composted olive pomace (Gr) and poultry manure (F), along with their amalgamations. This scrutiny endeavours to ascertain which treatment proves more efficacious as a plant fertilizer and soil amendment. The investigation also assesses the feasibility of reusing these two waste substances and gauges the maturity of the resultant compost. Throughout the composting progression, diverse microbiological and physic-chemical parameters like temperature, pH, electrical conductivity (EC), moisture levels, organic matter, and the evolution of the C/N ratio were systematically observed. The initial stages of the treatment disclosed heightened microbial activity in the blends, accompanied by a subsequent reduction in pathogen content towards the culmination of the composting course. The inquiry deduces that employing composts derived from olive pomace and poultry manure as sustainable substitutes for chemical fertilizers exem - plifies the viability and potential for ecologically sound agricultural practices.