Miracle-dz/UniFAR-FTUs huggingface dataset:
Genetic Characterization of Pakistani Goat Breeds through Mitochondrial D-Loop and Cytochrome b Gene Analyses

We analyzed the complete mitochondrial DNA displacement-loop (D-loop) and the cytochrome b (cyt b) gene of ten Pakistani domestic goat breeds ( Capra hircus ). The sequence analysis showed 209 variable sites in goat breeds and each haplotype was unique. All the haplotypes were rich in A/T content. Analysis of variable sites revealed 178 transitions and 31 transversions. Out of 178 transitions 81 were A↔G and 97 were C↔T. Of the 31 transversions, 2 were heteromorphic transversion G→T/C and T→G/C, one transversion also showed a pattern of transition. The ratio between transitions to transversion was 8.5:1.5. The phylogenetic analyses and sequence divergence (SD) established two major distinct mt-lineages termed as A, B. An A mt-lineage is further branched into three clades A1, A2, A3. This suggested that at least two different strains of wild Capra might have been the source of the modern domestic goats. Phylogenetic analysis of all haplotypes of this research work was performed with some reported haplotypes of Capra hircus and wild goats. Origin of domestication seemed to be from Europe, Asia and Africa. Our haplotypes have close relationship with Cashmiree breed, inner Mangolia and probably have originated from wild Capra aegagrus .
Do transferable skills matter for engineering students?

Transferable skills are becoming increasingly important, due to a progressively more competitive labor market in an ever-changing world. Particularly in the engineering sphere, it is even more obvious, as technical skills need transferable skills to have value. Increasing importance is being given by organizations and employers to transferable skills of their employees. Consequently, this study has two main goals: (1) analyze and determine how important engineering students consider transferable skills for their future career and (2) translate, adapt, and validate the Generic Skills Perception Questionnaire (GSPQ) - level of importance - for the Portuguese context. The scale was voluntarily answered by a sample of 219 engineering students from a Portuguese University. Descriptive measures were used to verify the perceived importance of the transferable skills of engineering students for their professional future. The scale GSPQ was validated for the Portuguese context through confirmatory factor analysis. Practical implications were drawn, namely the need to (re)structure the curricular units that are vital to a successful engineer development.
Semantic Segmentation for Land Cover Using Bhuvan 2D Satellite Images

This research study presents a a novel approach for semantic segmentation of land cover using Bhuvan 2D satellite images. The proposed approach utilizes U-Net models for classification. The dataset consists of 2D satellite images covering a region in India. A pre-processing pipeline is applied to extract relevant features and generate ground-truth labels. The model is trained on the dataset, and the results demonstrate its effectiveness in accurately classifying different types of land cover, such as forest, water bodies, agriculture, roads and urban areas, using performance metrics such as Dice coefficient (F1-Score), and Intersection over Union (IoU). The model is made more accurate and robust through the implementation of data augmentation techniques. The proposed approach can have significant applications in environmental monitoring, disaster management, and urban planning, providing accurate and detailed information on land cover patterns and changes over time.
A new model of groundwater flow within an unconfined aquifer: Application of Caputo-Fabrizio fractional derivative

In this paper, the groundwater flow equation within an unconfined aquifer is modified using the concept of new derivative with fractional order without singular kernel recently proposed by Caputo and Fabrizio. Some properties and applications are given regarding the Caputo-Fabrizio fractional order derivative. The existence and the uniqueness of the solution of the modified groundwater flow equation within an unconfined aquifer is presented, the proof of the existence use the definition of Caputo-Fabrizio integral and the powerful fixed-point Theorem. A detailed analysis on the uniqueness is included. We perform on the numerical analysis on which the Crank-Nicolson scheme is used for discretisation. Then we present in particular the proof of the stability of the method, the proof combine the Fourier and Von Neumann stability analysis. A detailed analysis on the convergence is also achieved.
The Readiness For Interprofessional Education (IPE) In The School Setting Among The Internship Students Of Applied Medical Sciences At Taibah University

Objective The study aims to assess the readiness of Interprofessional Education (IPE) in the school setting among the Internship Students of Applied Medical Sciences at Taibah University. Methods This study utilized a survey targeting internship students of Applied Medical Sciences; departments Diagnostic Radiologic Technology, Medical Laboratory Technology, and Clinical Nutrition, at Taibah University. We used a modified Readiness for Inter-professional Learning Scale (RIPLS) survey to collect the data of this study. Data were analyzed using SPSS software version 21. Results A 100 surveys distributed, 40 were returned. Most of the internship students (88.7%) agreed that IPE could make them more collaborated and can enhance teamwork skill to them. A total of 36.25% of the internship student agreed, and 50.01% disagree about the negative professional identity of the IPE. 86.66% of the internship student agreed, and 50.01% disagree about the positive professional identity of the IPE. They responded that sharing learning with other health care professionals will help them to communicate better with patients and other professionals and to improve practice. 65.84% of the internship student agreed, and 23.75% disagreed about the impact of IPE on their role and responsibility. The difference between the internship student at the end level of the internship and internship student at the beginning level of the internship, towards the positive thinking about other healthcare professionals was 0.015. Conclusion The study concluded that there was a readiness of IPE in the school setting among the Internship Students Students of Applied Medical Sciences at Taibah University. The majority of the internship student agreed that IPE could make them more collaborated and can enhance teamwork skill to them. There was a significant difference between the internship student at the end level of the internship and internship student at the beginning level of the internship, towards the positive thinking about other healthcare professionals.
Electron Paramagnetic Resonance Sensing of «Hidden» Atomistic and Cooperative Defects in Femtosecond Laser-Inscribed Photoluminescent Encoding Patterns in Diamond

The changes that appeared in the crystal structure of a natural diamond under the influence of a pulsed femtosecond laser (525 nm) were comprehensively investigated using Fourier-transform infrared (FT-IR), electron paramagnetic resonance (EPR), and photoluminescence (PL) spectroscopy methods. It is shown that changes in the crystal structure occur due to the laser-driven interrelated process of the appearance and migration of interstitial carbon atoms and vacancies. On the one hand, there are atomistic transformations related to a decrease in the concentrations of structural centers that are not associated with vacancies or interstitial atoms—centers A (FT-IR spectroscopy) and P1 and W7 (EPR)—and an increase in the concentration of the H3, NV0, and NV− (PL) centers, which are associated with vacancies. On the other hand, there are indications of cooperative effects—an increase in the intensity of multi-atomic B2 (platelets, layers of interstitial carbon atoms (FT-IR)) and N2 (fragments of the structure with broken C–C bonds (EPR)) centers.
A Frustratingly Easy Approach for Entity and Relation Extraction

End-to-end relation extraction aims to identify named entities and extract relations between them. Most recent work models these two subtasks jointly, either by casting them in one structured prediction framework, or performing multi-task learning through shared representations. In this work, we present a simple pipelined approach for entity and relation extraction, and establish the new state-of-the-art on standard benchmarks (ACE04, ACE05 and SciERC), obtaining a 1.7%-2.8% absolute improvement in relation F1 over previous joint models with the same pre-trained encoders. Our approach essentially builds on two independent encoders and merely uses the entity model to construct the input for the relation model. Through a series of careful examinations, we validate the importance of learning distinct contextual representations for entities and relations, fusing entity information early in the relation model, and incorporating global context. Finally, we also present an efficient approximation to our approach which requires only one pass of both entity and relation encoders at inference time, achieving an 8-16× speedup with a slight reduction in accuracy.
Coordination of Free/libre Open Source Software Development

10 11 The apparent success of free/libre open source software (FLOSS) development projects such as Linux, Apache, 12 and many others has raised the question, what lessons from FLOSS development can be transferred to main13 stream software development? In this paper, we use coordination theory to analyze coordination mechanisms 14 in FLOSS development and compare our analysis with existing literature on coordination in proprietary 15 software development. We examined developer interaction data from three active and successful FLOSS 16 projects and used content analysis to identify the coordination mechanisms used by the participants. We found 17 that there were similarities between the FLOSS groups and the reported practices of the proprietary project 18 in the coordination mechanisms used to manage task-task dependencies. However, we found clear differences 19 in the coordination mechanisms used to manage task-actor dependencies. While published descriptions of 20 proprietary software development involved an elaborate system to locate the developer who owned the relevant 21 piece of code, we found that “self-assignment” was the most common mechanism across three FLOSS projects. 22 This coordination mechanism is consistent with expectations for distributed and largely volunteer teams. We 23 conclude by discussing whether these emergent practices can be usefully transferred to mainstream practice 24 and indicating directions for future research. 25 26
Theoretical Investigation into the Effects of Geometrical and Operating Parameters on the Performance of Solar Chimney Power Plants

Towards energy saving and clean environment, solar energy, as one of renewable energy resources, was found to be a suitable solution for generating power in many countries. Nowadays, solar chimney is considered a promising technology falling under the umbrella of solar energy systems for the purpose of generating electricity. In this study, a theoretical investigation into the design of collector and chimney besides the influences of some operating parameters, would be addressed for one solar chimney power plant (SCPP). This investigation mainly focuses on making thermal and dimensional analyses aiming particularly at improving SCPP performance. The theoretical findings were compared with real-world experimental results of Manzanares SCPP existing in Spain. The obtained results have shown a good agreement compared with experimental ones, which give a theoretical basis for effective design of SCPP. This work introduces a design roadmap for one solar chimney under given geometrical and operating parameters.
Understanding the Individual in Context: Socioeconomic Inequality in College Students’ Perspectives

Knowledge about whether and how students’ dispositions and ways of thinking are shaped by higher education has expanded rapidly in recent years. Drawing from in-depth interviews with 104 college students at a large public university in the United States, this study examined how participants described the relationship between individual experiences and social, historical, and political contexts. Findings indicate that most students understood the world in ways that were in conflict with stated university goals to foster understanding of the connections between individuals and broader contextual factors. The perspectives that emerged varied by socioeconomic status. Less socioeconomically advantaged students placed an emphasis on individual responsibility in ways that evoked self-blame for struggles. More socioeconomically advantaged students, by contrast, relied on contextualized explanations of their own lived experiences but refused to extend those explanations to understand the experiences of others. These perspectives contribute to the reproduction of inequality as students move through and beyond college. Presented findings extend conversations about how the potential transformative impact of higher education may be undermined by neoliberalism and marketization, which have reshaped the distribution of opportunities and resources in postsecondary institutions. Implications for addressing this inequality by framing education in more holistic ways are discussed.
Effect of Artificial Liver Support Systems on Gut Microbiota in Patients with HBV-Related Acute-on-Chronic Liver Failure

Hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is a rare and severe form of end-stage liver disease with high mortality; gut microbes are strongly associated with the development of this severe liver disease but the exact association is unclear. Artificial liver support systems (ALSS) are clinically important in prolonging the waiting time for liver transplantation and in aiding drug therapy to achieve remission. The aim of this study was to investigate the effect of ALSS on the abundance and diversity of microorganisms in the gut of HBV-ACLF patients. In this study, 109 stool samples were collected from patients with hepatitis B virus-associated acute chronic liver failure (HBV-ACLF) for 16S rRNA sequencing. Among them, 44 samples were from patients treated with ALSS therapy as an adjunct to standard medical treatment (SMT) and 65 were from patients receiving SMT only. Analysis of the sequencing results suggested that there were significant differences in the abundance and diversity of gut microbiota between the with-ALSS and without-ALSS groups (p < 0.05). The operational taxonomic units and Shannon indexes indicated that the diversity and abundance of the gut microbiome, while decreasing after the first ALSS treatment, gradually increased after an increase in the number of ALSS therapies. The overall proportion of HBV-ACLF patients with coinfection was 27.59%; the coinfection can reduce the abundance of the Bacteroidetes phylum in the microbiome significantly whereas Proteobacteria were highly enriched. After ALSS therapy, HBV-ACLF patients had a decrease in potentially harmful bacteria, an increase in potentially beneficial bacteria, an increase in the diversity of the intestinal microbiota, and the intestinal microecological disorders were corrected to a certain extent. Serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), and total bilirubin (TBIL) levels, as well as the international normalized ratio (INR), showed a decreasing trend whereas plasminogen activity (PTA) increased and the condition of patients with HBV-ACLF progressed in a favorable direction. In addition, the abundance of Blautia and Coprococcus was negatively correlated with TBIL and INR, positively correlated with PTA, and positively correlated with disease recovery. Our study shows that ALSS can alter the composition of the gut microbiota and have an ameliorating effect on the gut microecological imbalance in HBV-ACLF patients. It is worth mentioning that Blautia and Coprococcus may have great potential as biomarkers.
Valuation of Lake Resources through Hedonic Pricing

Abstract : This report describes the application of the hedonic pricing technique (property values) to the evaluation of lake resources. Hedonic models are developed to test three hypotheses: (1) Land value of lakefront property is greater than non lake-front property. (2) The effect of lake characteristics (size and water quality) is realized in land values. (3) Water resource related impact on land value will diminish with distance from the water sources. Results confirmed all three hypotheses and illustrated the use of the hedonic technique for evaluating such environmental amenities as lake resources.
Synergistic Extraction of Lanthanides(III) from Acidic Aqueous Solutions with Mixtures of Bis(Diphenylcarbamoylmethylphosphine Oxide) Ligands and Dinonylnaphtalene Sulfonic Acid

ABSTRACT The extraction of lanthanides(III) from aqueous nitric acid solutions with mixtures of bis(diphenylcarbamoylmethylphosphine oxides) (L) and dinonylnaphthalene sulfonic acid (HDNNS) in organic diluents is studied. It is established that the efficiency of extraction of Ln(III) ions increases significantly when HDNNS is added to the organic phase containing L. The synergistic effect arises due to the higher hydrophobicity of the extractable Ln(III) complexes formed by the L ligand and DNNS− anions compared to those containing NO3 − ions as counteranions. The stoichiometry of the extracted complexes is determined, and the influence of the composition of the aqueous phase, the nature of the organic solvent, and the structure of the bis-CMPO ligands on the efficiency of the extraction of metal ions into the organic phase is considered. The synergistic effect during the extraction of Ln(III) from aqueous nitric acid solutions with mixtures of L and HDNNS weakens with increasing the acidity of the aqueous phase; however, it also holds in acidic media.
Variational Auto-Encoder Model and Federated Approach for Non-Intrusive Load Monitoring in Smart Homes

Non-Intrusive Load Monitoring (NILM) is a technique used for identifying individual appliances' energy consumption from a household's total power usage. This study examines a novel energy disaggregation model called Variational Auto-Encoder (VAE) with Federated Learning (FL). Specifically, VAE has a complex structure that resolves the issues in Short Sequence-to-Point (Short S2P) with fewer samples as input windows for each appliance. Short S2P cannot be generalized and might confront some challenges while disaggregating multi-state appliances. To this end, we examine a series of experiments using a real-life dataset of appliance-level power from the UK: UK-DALE. We also investigate additional protection of model parameters using Differential Privacy (DP). The findings show that FL with the VAE model achieves comparable performance to its centralized counterpart and improves all the metrics significantly compared to the Short S2P model.
The Discrete Moser – Veselov algorithm for the free Rigid Body , revisited

In this paper we revisit the Moser–Veselov description for the free Rigid Body, which, in the 3×3 case, can be implemented as an explicit, second order, integrable approximation of the continuous solution. By backward error analysis, we study the modified vector field which is integrated exactly by the discrete algorithm. We deduce that the discrete Moser–Veselov (DMV) is well approximated to higher order by time-reparametrizations of the continuous equations (modified vector field). We use the modified vector field to preprocess the initial data to the DMV and show the equivalence of the DMV algorithm and the RATTLE algorithm. Numerical integration with these preprocessed initial data is several order of magnitude more accurate of the original DMV and RATTLE approach.
ML and Network Traces to M.A.R.S

MARS is a Microservice Architecture Recovery Solution that uses Machine Learning and lightweight Network Traces to recover the architecture of applications in order to deploy network security policies and protect the organization against complex threats that may exploit several vulnerabilities to breach an application and either exfiltrate sensitive data or carry out denial of service attacks. The adoption of such security policies is often hindered by the lack of suitable documentation. This paper describes a novel methodology that uses machine learning on captured network traces to recover application architectures.
Wake Fields in a Three-Layer Cylindrical Waveguide

The resonant properties of wake fields in a three-layer cylindrical waveguide are investigated. A metal-dielectric waveguide is considered, the walls of which are covered from the inside with a thin low-conductivity metal layer that prevents charge accumulation on the dielectric surface and, at the same time, absorbs residual gas molecules. The distorting effect of the inner metal coating on the resonant characteristics of the wake fields is estimated. Various combinations of geometric and electromagnetic parameters of the structure are considered in order to optimize it as a beam guide with minimal losses or a source of monochromatic radiation.
CAPTURING THE REALITY OF INDUSTRY 4.0 READINESS DIMENSIONS AND INDICATORS IN A DEVELOPING COUNTRY: AN ANALYSIS OF APPLYING I4.0 IN INDONESIA

Indonesia has the lowest Industry 4.0 (I4.0) readiness in South East Asia, and uses the INDI 4.0 instrument (Indonesia Industry 4.0 readiness index), which is not as comprehensive and accurate as it could be. An Initial survey confirmed that only 56.86% of respondents agreed that INDI 4.0 accurately measured readiness in manufacturing operations. Unlike the primary I4.0 indices, INDI 4.0 lacks comprehensive I4.0 dimensions and characteristics. This paper aims to identify the dimensions and indicators of I4.0 readiness to enhance INDI 4.0 through an exploratory mixed-method research approach with a multiphase research design. The first phase consisted of a qualitative approach through a documentary review, interviews, and observations to explore the dimensions and indicators of I4.0 readiness. This phase successfully identified four dimensions that experts, academics, and practitioners validated: technology, data life cycle, I4.0 design principles, and smart factory. These dimensions were broken down into 27 indicators of I4.0 readiness, then validated again through a statistical approach before being affirmed by a survey with a Pearson’s correlation > 0.361 and Cronbach’s alpha of 0.987, which indicated validity and reliability. The second phase, using a quantitative approach through a survey, confirmed the four dimensions and 27 indicators for measuring I4.0 readiness levels; these were ‘not ready’, ‘early stage’, ‘moderate readiness’, ‘readiness ripe’, and ‘already implemented’. This finding comprehensively measured I4.0 readiness based on feedback from industries struggling to adopt I4.0, especially in developing countries such as Indonesia. This finding also differed from existing indices (Acatech, RAMI 4.0, Dreamy, SIMMI 4.0. IMPULS) from developed countries and industries already stable in implementing I4.0. eywords: (Industry 4.0, I4.0 readiness indicators, INDI 4.0)