Miracle-dz/UniFAR-FTUs huggingface dataset:
Association mapping of total flavonoid content and antioxidant capacities in lentil (Lens culinaris Medik.)

Ninety-six lentil genotypes were characterized for total flavonoid content (TFC) and antioxidant capacities (AOC). Analysis of variance (ANOVA) indicated significant (p ≤0.01) differences among lentil genotypes for studied traits across three locations. The average content of TFC was relatively higher in advanced breeding lines (12.21 mg QE/g) and low in Indian germplasm lines (10.68 mg QE/g). Mean performances for AOC, using the DPPH (ACD) and CUPRAC(ACC) methods, were relatively higher in advanced breeding lines (ACD-4.32 μmolTE/g and ACC-1.25 μmolTE/100 g) and least in released varieties (ACD-2.79 μmolTE/g and ACC-0.92 μmolTE/100 g). Marker trait association analyses were performed with 87 polymorphic SSR markers. The number of alleles amplified per locus ranged from 2 to 5, with an average of 2.92. The polymorphism information content (PIC) value ranged from 0.04 to 0.67, with a mean of 0.25. SSR markers, LCSSR 363 and PLC 38 were significantly associated with TFC and explained 10% of phenotypic variation. PLC 60, SSR 80, PLC 77, and PBALC 216, associated with ACD, explained 7.5 to 23% of phenotypic variation, whereas PBALC 250 and PBALC 216, associated with ACC, explained 15% of the phenotypic variation. TFC and AOC have a broader range of genetic variations that can be used in lentil breeding programs to develop varieties tailored for nutraceutical and therapeutic applications. The identified markers can be validated in biparental populations and used in lentil breeding programs to improve functional constituents and health benefits.
Analisis Strategi Bisnis Bank Digital Syariah di Indonesia

Digital banks are part of the digitalization of financial institutions which aims to facilitate financial inclusion for all groups. Sharia digital banks are a type of banking institution that provides practical and easy online services based on sharia principles so that customers do not need to come to a branch office. Sharia digital banks are among the latest innovations in the banking industry in Indonesia. This article aims to analyze the internal and external conditions of Islamic digital banks in Indonesia and formulate strategies that will be implemented by Islamic digital banks to take advantage of strengths and opportunities and overcome weaknesses and threats. This research uses the SWOT method. The results show several strengths (such as being the first pure digital Islamic bank in Indonesia, recipient of the Most Promising Islamic Digital Bank 2021 award at the CNBN Indonesia Award 2021), weaknesses (such as requiring a supporting internet connection), opportunities (such as: continued growth of internet users in Indonesia), and threats (such as cybercrime attacks). Based on the results of the SWOT analysis, the comparative advantage cell, mobilization cell, divestment/investment cell and damage control cell were obtained.
Exploring Pre-Service English Teachers’ Knowledge toward GBA Approach in Indonesian EFL Curriculum

The aim of research was to figure out pre-service English teachers’ capability, in order to comprehend and to implement the Genre-Based Approach (henceforth, GBA) in EFL classrooms. This study used a qualitative case study approach to investigate the understanding of pre-service English teachers towards the GBA in the Indonesian newest curriculum, called Kurikulum Merdeka (Independent Curriculum). The research was conducted at Al Hikmah Teacher Institute. Non probability with purposive sampling type is a technique was used to select the participants. Furthermore, for further understanding of the data, some selected participants were interviewed by the researcher. In this study, questionnaires, structured interviews, and document collection were applied as instruments. The interactive model of data analysis proposed by Miles and Huberman was adopted in analyse the data. In short, the study revealed three findings, there are; 1) most of the pre-service English teachers (71.5%) of the participants did have not sufficient knowledge; 2) the rest of the participants (28.5%) had sufficient knowledge of the content knowledge (henceforth, CK); and 3) the implementation of the GBA in English Language Teaching (henceforth, ELT).
Screening and Isolation of Xylanolytic Filamentous Fungi from the Gut of Scarabaeidae Dung Beetles and Dung Beetle Larvae

Research on renewable biotechnology for renewable biofuel applications has reached new heights. This is highlighted by extensive biomining for novel enzymes to reduce the production costs from animal and insect gut microbiomes. This study explored the diversity and composition of hemicellulolytic fungi in the gut microbiota from dung beetles of the family Scarabaeidae (Pachylomerus femoralis, Anachalcos convexus and Euoniticellus intermedius). Two hundred and twenty-two filamentous fungi were isolated, purified and identified using rDNA sequencing of the ITS and D1/D2 regions. The fungal isolates were assigned to 12 genera and 25 species. Fungi associated with the genus Aspergillus was in abundance, with Hypocrea lixii predominantly isolated. Isolates that produced more than 3 U/mL of xylanase activity were evaluated further. The highest xylanase activity was of 23.6 and 23.5 U/mL for L1XYL9 (E. intermedius larvae) and Hypocrea lixii AB2A3 (A. convexus), respectively. Phylogeny of the fungal strains with xylanolytic activity was analysed using ITS rDNA sequences and revealed close genetic relatedness between isolates from the different dung beetle species. Fungal genera commonly found in the gut of both adult beetles and larvae included Aspergillus, Hypocrea, Talaromyces and Penicillium. The results obtained in this study suggest that the gut of Scarabaeidae dung beetles in South Africa is a rich source of xylanolytic fungi.
A Cone Bean Computer Tomography Investigation of the Newly Formed Mandibular Anterior Ridge following the Treatment of an Extended Comminuted Fracture: A 12-Year Follow-Up

Introduction Extensive comminuted fractures are associated with tooth loss that ultimately leads to dimensional changes in the hard and soft tissues of the alveolar ridge. Reconstruction of the lost mandibular anterior ridge is very complex due to the natural curvature of the region. Case Presentation. In this case report, the combination of the modified shell technique with autologous bone plates and the guided bone regeneration (GBR) technique was performed on an 18-year-old patient after a comminuted fracture, to ensure new bone formation in the anterior ridge with a natural curvature. After the treatment progressed without complications, three dental implants were placed. Annual cone beam computed tomography (CBCT) images were obtained and evaluated using the GNU Image Manipulation Program (GIMP© 2.10). This allowed measurements of the buccal and lingual bone around the implants, showing the annual bone loss in a twelve-year observation period. Discussion. The treatment of the comminuted fracture and the combination of the modified shell technique with autologous bone plates, the GBR technique, and implant placement can be considered successful. The three dental implants were osseointegrated in 2010, with the buccal bone level averaging 1.31 mm below the implant shoulder and the lingual bone level 1.57 mm above the implant shoulder. In 2021, the measurements showed a bone loss of 0.99 mm at the buccal implant shoulder and 0.69 mm at the lingual implant shoulder. Conclusion The combination of the modified shell technique with autologous bone plates and the GBR technique is a reliable method to ensure new bone formation in the anterior ridge. The use of CBCT is an excellent method to evaluate bone resorption around dental implants, but due to minimal bone resorption in the observation period, an annual CBCT examination is exaggerated.
A New Fixed Coefficient Diagonally Implicit Block Backward Differentiation Formula for Solving Stiff Initial Value Problems

Stiff initial value problems in ordinary differential equations occur when solution components evolve at varying rates, posing challenges for traditional computational methods. Specialized techniques are crucial for maintaining accuracy and stability during rapid transitions, emphasizing their significance in developing reliable numerical algorithms across scientific and engineering applications. This study aims to develop a new fixed coefficient 3-point diagonally implicit block backward differentiation formula for the numerical solution of first order stiff initial value problems. The method is constructed by integrating a triangular matrix into the coefficient matrix of an existing extended 3-point super class of block BDF for solving stiff initial value problems. The selection of a fixed coefficient within the interval accompanies this integration to ensure optimal stability. The method is found to order five. Stability analysis indicates that the method is consistent, zero-stable, and almost A-stable, validating its applicability to stiff initial value problems. Implementation of the method involves Newton’s iteration, and a code in the C programming language is devised to demonstrate its effectiveness. Comparative examination of numerical outcomes with the existing 3BBDF and 3ESBBDF methods highlights the proposed method's enhanced accuracy and reduced computation time.
Simulation of temperature dependence measurements of resistance measures by SVD

One of the important characteristics of high-precision resistance measures is the temperature dependence of resistance. Since this dependence is generally non-linear, it is most often approximated by a second-degree polynomial. Polynomial coefficients: resistance of the measure at a reference temperature (T0= 20 °C or 23 °C) R0, a coefficient characterizing the linear dependence of resistance on temperature a, and a coefficient characterizing the quadratic dependence of resistance on temperature b are determined experimentally by measuring the resistance of the measure RT at different temperatures T and by solving the resulting system of equations. To increase accuracy, multiple measurements are performed, which results in a redefined system of equations allowing solutions to be found by various methods. The paper considers the solution of a redefined system of linear equations using the SVD (singular value decomposition) method, if the inaccuracy of measurements of RT and T is caused by random factors. To simulate random factors, random values distributed according to the normal law were used. The SVD method was implemented using the MATLAB software package. The paper presents some results from simulating the process of measuring the temperature dependence of resistance measures.
Implementation of FDSS (Fuzzy Decision Support System) Sugeno Model in Optimizing Bandwidth Requirement Management of Web-Based Networks

To increase the efficacy of bandwidth allocation at PT. Digdaya Monokrom Group, this study describes the development of a Fuzzy Decision Support System (FDSS) utilizing the Sugeno methodology. The Waterfall development process is employed for the purposes of system planning, construction, and maintenance. The study consists of three primary stages: the creation of fuzzy sets, the development of fuzzy rules, and the process of defuzzification. The study findings demonstrate that the utilization of FDSS has effectively improved the distribution of bandwidth. The distribution has shifted from a uniform one to a more optimized allocation, focusing on the Execution, Content Creator, Administration, and Research Team departments. During a four-week monitoring period, modifications were implemented to distribute bandwidth based on the preferences and needs of various departments, while adhering to the limitations of the current broadband subscription. This has enhanced the efficient exploitation of network resources. The research findings highlight the efficacy of FDSS in prioritizing resource allocations according to specific departmental requirements, consequently improving service quality and maximizing bandwidth subscription capacity. This demonstrates the implementation of strategic management methodologies to optimize the allocation of network resources, resulting in enhanced organizational efficiency and production.
Soft TQM for competitive advantage in the transportation sector: investigating green human resource management and stakeholder integration

PurposeRecent trends in total quality management (TQM) argue in favor of incorporating environmental concerns into TQM and considering external stakeholders. The aim of this study is to bring environmental consciousness in the soft TQM dimension of human resource management (HRM) and assess its interrelationship with stakeholder integration towards achieving a competitive advantage.Design/methodology/approachAn empirical study was conducted in the transportation sector, specifically targeting managers in Greek shipping companies involved in global cargo transport and vessel operations. A structured questionnaire was administered, yielding 109 responses. The collected data were analyzed using partial least squares structural equation modeling.FindingsThe findings reveal the positive effect of both green HRM (GHRM) and stakeholder integration on the innovation differentiation advantage and market differentiation advantage of shipping companies. Results confirm the complementary (partial) mediating effect of GHRM in the relationship between stakeholder integration and both types of competitive advantage.Research limitations/implicationsThe primary limitation resides in data collection exclusively from shipping companies in Greece. A longitudinal approach would be beneficial for examining how the relationship between variables changes over time.Practical implicationsThe findings of the study could assist shipping managers in their decisions to allocate resources for developing GHRM practices and for involving stakeholders in organizational practices to overcome competition.Originality/valueThis study contributes to the discourse on TQM by empirically investigating the combined impact of GHRM and stakeholder integration on competitive advantage – an aspect that has been relatively overlooked in existing literature.
Exploring Heads’ Perspective on Social Justice for Students in Higher Education Institutions in Pakistan

Equal opportunity does not imply equal treatment: rather it means fair treatment (Ghosh, 2012). Fair treatment and providing equal opportunities to enhance individual’s capability, irrespective of any personal or societal differences, can contribute in providing excellence in education that leads to social justice. The objective of the study was to explore heads’ perspectives of students’ equitable access to educational resources, equitable participation and equitable outcomes in higher education. The study had also explored heads’ perspectives on students’ personal barriers to social justice and equity. To explore the perspective of heads on social justice for students in universities, data had been collected from 17 leaders working in higher education, by using multistage sampling technique. An interview protocol was developed to explore the perspective on social justice connected to leaders for bringing improvements in education so that all students get equal opportunities to excel in education. The results presented less positive situation of social justice and equity in public sector higher education. The study recommends that the education system needs to consider social justice and equity to ensure heads’ commitment to social justice and equity principles, leading to equal opportunities for making students’ capability better in higher education institutions in Pakistan.
Investigation of physical and chemical quality of surface water and sediment in seven locations from Danube Delta, in the period 2009-2011

The purpose of this paper was to investigate distribution of organic and inorganic contamination in water and sediment in different locations of Saint George Branch -the southern branch of the Danube Delta. Concentrations of dissolved oxygen, nutrients, metals, polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), organochlorine pesticides (OCPs), mineral oil were analyzed in water and sediment samples and the results were compared to those obtained in the previous works [1,2,3,4]. Sampling was monthly performed in the period 2009-2011 from seven locations of Saint George Branch from the Danube Delta. The obtained values were evaluated for their compliance with quality standards stipulated in Statutory Order No. 161/2006 of the Romanian Ministry of the Environment and Water Management [5]. In Danube river water, the content of heavy and toxic metals was in most cases below the limits according to the national legislation, only iron values
Application of Weibull Distribution to Hidden Markov Model for Non-Negative Factorization Matrix

Probabilistic Nonnegative Matrix Factorizations (NMFs) are very useful in statistics when dealing with stochastic signals such as wave fronts, share prices, and volatility as a Nonnegative Matrix Factorization (NMF) approach. Little attention has been made in the literature to developing NMF algorithms that use moving average to exploit data's temporal dependencies. A hidden Markov model (HMM) using a Weibull distribution as the output density function was created in this study. The Weibull HMM was then reformulated as a probabilistic NMF. This demonstrates the connection between the proposed HMM and NMF, and will lead to a novel probabilistic NMF approach in which the model captures temporal dependencies inherently utilizing moving average. Furthermore, the model parameters were estimated using maximum likelihood estimation (MLE). The model's adaptability was compared to the existing probabilistic NMFs models of gamma and lognormal. Our trials with US COVID-19 data revealed that the proposed technique achieves a superior balance of sparsity, the goodness of fit, and temporal modeling than gamma and lognormal models.
Generation of subwavelength inverted pin beam via fiber end integrated plasma structure

A pin-like beam is a kind of structured light with a special intensity distribution that can be against diffraction, which can be seen as a kind of quasi-nondiffracting beam (Q-NDB). Due to its wide applications, recently, numerous researchers have used optical lenses or on-chip integrated optical diffractive elements to generate this kind of beam. We theoretically verify and experimentally demonstrate an all-fiber solution to generate a subwavelength inverted pin beam by integrating a simple plasma structure on the fiber end surface. The output beams generated by two kinds of plasma structures, i.e., nanoring slot and nanopetal structure, are investigated and measured experimentally. The results show that both the structures are capable of generating subwavelength beams, and the beam generated using the nanopetal structure has the sidelobe suppression ability along the x -axis direction. Our all-fiber device can be flexibly inserted into liquid environments such as cell cultures, blood, and biological tissue fluids to illuminate or stimulate biological cells and molecules in them. It provides a promising fiber-integrated solution for exploring light – matter interaction with subwavelength resolution in the field of biological research.
A selective defect in the glial wedge as part of the neuroepithelium disruption in hydrocephalus development in the mouse hyh model is associated with complete corpus callosum dysgenesis

Introduction Dysgenesis of the corpus callosum is present in neurodevelopmental disorders and coexists with hydrocephalus in several human congenital syndromes. The mechanisms that underlie the etiology of congenital hydrocephalus and agenesis of the corpus callosum when they coappear during neurodevelopment persist unclear. In this work, the mechanistic relationship between both disorders is investigated in the hyh mouse model for congenital hydrocephalus, which also develops agenesis of the corpus callosum. In this model, hydrocephalus is generated by a defective program in the development of neuroepithelium during its differentiation into radial glial cells. Methods In this work, the populations implicated in the development of the corpus callosum (callosal neurons, pioneering axons, glial wedge cells, subcallosal sling and indusium griseum glial cells) were studied in wild-type and hyh mutant mice. Immunohistochemistry, mRNA in situ hybridization, axonal tracing experiments, and organotypic cultures from normal and hyh mouse embryos were used. Results Our results show that the defective program in the neuroepithelium/radial glial cell development in the hyh mutant mouse selectively affects the glial wedge cells. The glial wedge cells are necessary to guide the pioneering axons as they approach the corticoseptal boundary. Our results show that the pioneering callosal axons arising from neurons in the cingulate cortex can extend projections to the interhemispheric midline in normal and hyh mice. However, pioneering axons in the hyh mutant mouse, when approaching the area corresponding to the damaged glial wedge cell population, turned toward the ipsilateral lateral ventricle. This defect occurred before the appearance of ventriculomegaly. Discussion In conclusion, the abnormal development of the ventricular zone, which appears to be inherent to the etiology of several forms of congenital hydrocephalus, can explain, in some cases, the common association between hydrocephalus and corpus callosum dysgenesis. These results imply that further studies may be needed to understand the corpus callosum dysgenesis etiology when it concurs with hydrocephalus.
Integrating cultural and biological perspectives on long-term human-walrus (Odobenus rosmarus rosmarus) interactions across the North Atlantic

Abstract The hunting of marine mammals as a source of subsistence, trade, and commercial revenue has formed an important part of human cultures across the North Atlantic. One important prey species has been the Atlantic walrus (Odobenus rosmarus rosmarus), sought after for meat, skin, blubber, ivory, and bone. Unfortunately, biological studies of current walrus populations and studies across the humanities and social sciences into past use and hunting of walruses, have been poorly integrated. Disciplinary boundaries have left a gap in understanding the reciprocal effects of human-walrus interactions. Emerging interdisciplinary methods offer new opportunities to write the historical ecology of Atlantic walruses. The integration of methods such as ancient DNA, isotopes, past population modelling, zooarchaeological assemblages, and ethnographic interviews can now be used to answer previously intractable questions. For example, how has walrus hunting shaped and been influenced by changes in human settlement and trade, what have been the cumulative impacts on walrus populations, the extent of anthropogenic selective pressures or the effect of changing hunting regimes on particular populations of walruses? New, collaborative research approaches applied to the wealth of Arctic archaeological faunal remains already housed in museum collections offer a unique chance to explore the past dynamics of human-animal interactions.