Miracle-dz/UniFAR-FTUs huggingface dataset:
REINSTATING FOR ENTREPRENEUR TERMINOLOGY IN MANAGEMENT, AN ALTERNATIVE OF CRITICAL DISCOURSE

Academic scientific culture has encouraged the birth of many new ideas, both in the form of new theoretical conceptions and modeling of a research, including several new ideas. which gave birth to new terms in a scientific field, including the field of management, including the term "entrepreneur" or its derivatives such as "entrepreneurship" or "entrepreneurial". The purpose of this article is to conduct a critical study regarding the appropriateness of the use or development of these terms. A new approach that integrates analysis of semantic, conceptual-theoretical and cognitive perspectives is used to confirm their findings, where it is known that new findings are confusing, overlapping, and useless. 146/U/2004 is called chaos, ambiguity, and misunderstanding. Other new findings in this article are in the analytical methods used, namely semantics, conceptual-theoretical and cognitive and the results of the discussion in this paper suggest a way that can improve the deepening study of management concepts rather than building terminology that can lead to confusion, overlap and redundancy. , misunderstanding, superficiality and imperfection of the concept.
Physiological, Pathological, and Circadian Factors Impacting Skin Hydration

Thismanuscript focuses on the physiological, environmental, nutritional, circadian, and aging factors affecting skin tissue water and hydration parameters. The literature findings indicate a multiplicity of interacting processes among these parameters, ultimately impacting skin hydration in normal skin and playing a role in conditions such as atopic dermatitis and psoriasis. The maintenance of adequate skin hydration, aided by the proper functioning of the skin’s protective barrier, is facilitated by stratum corneum integrity with the presence of tight junctions and lipids such as ceramides, each of which is impacted by changes in most of the evaluated parameters. Abnormalities in aquaporin 3 (AQP3) expression and associated deficits in skin hydration appear to have a role in atopic dermatitis and psoriasis. AQP3 hydration-related aspects are influenced by circadian rhythms via modulations associated with CLOCK genes that alter AQP3 protein expression. Ultraviolet exposure, aging, and low temperatures are among those factors that affect skin ceramide composition, potentially leading to increased transepidermal water loss and negatively impacting skin hydration. Vitamin C, collagen, and probiotics may increase ceramide production and improve skin hydration. The extent to which each of the different evaluated factors affects skin hydration varies but is usually large enough to consider their potential effects when investigating skin in research and clinical settings.
Synthesis and crystal structures of rhodium acetate paddle‐wheel complexes with anchor group‐functionalized and hydrogen bond‐supported axial ligands

We report the synthesis and X-ray structures of four Rh 2 (OAc) 4 (L Ax ) 2 (OAc = acetate, CH 3 COO (cid:0) ) paddle-wheel complexes ( C1 (cid:0) C4 ) with methylthio-modified axial ligands L Ax derived from benzamidine ( L1 ), anilinopyrimidine ( L2 ) or isothiourea ( L3 , L4 ) that are capable of forming N (cid:0) H···O hydrogen bonds to the equatorially bridging acetate ligands. This was done with the aim to suppress dissociation of the axial ligands and to make the complexes amenable to single-molecule conductance measurements in a scanning tunneling microscope break-junction (STM-BJ) setup. The characteristic spectroscopic features (NMR, IR, vis), crystal structures, the hydrogen-bonding motifs and a DFT-based screening of their frontier molecular orbitals are presented. Our calculations suggest that hydrogen-bonding stabilises axial ligand binding by 15 kJ/mol to 30 kJ/mol and that the HOMO of the rhodium paddle-wheels is closer to the Au work function than the LUMO, so that the rhodium paddle-wheels are expected to constitute hole conductors.
Modeling Diffusion-Limited Crystal Growth from Vapor using a Commercial Finite-Element Analysis Code

This application note describes how to model diffusion-limited crystal growth from vapor using QuickField - a commercial finite-element analysis code. The crystal growth problem is cast into the format of a steady-state heat diffusion problem, which is one type of problem QuickField is designed to solve, and we derive the relevant conversion factors and correspondences between variables. We also describe three types of boundary conditions in the crystal growth problem and their corresponding boundary conditions in the heat diffusion problem. As an example, we examine the crystal growth of ice from water vapor in a background gas using a variety of mixed boundary conditions.
Adsorption desulfurization of dibenzothiophene in a model and diesel fuel by hybrid activated charcoal/mixed metal oxide

Abstract Adsorption desulfurization of dibenzothiophene DBT in model and commercial diesel fuel was conducted to obtain the ultra-clean fuel by using three adsorbents: mixed metal oxides of copper-manganese (MMO), activated charcoal (AC), and hybrid activated charcoal/mixed metal oxide (AC/MMO). The adsorbents were characterized by Transmission electron microscopy (TEM), Field emission scanning electron micropores (FESEM-EDS), Energy-dispersive X-ray spectroscopy (XRD), Fourier transform-infrared spectroscopy (FT-IR), Brunauer-Emmett-Teller (BET) and thermogravimetric analysis (TGA). The hybrid AC/MMO was prepared by the co-precipitation method which was different from the previously published studies. It has the best performance in ADS of DBT at optimized conditions (0.1 g dosage, 10 ml of 1500 ppm DBT, 90 minutes, 250 C and 500 RPM), the adsorption capacity qe was 23.8 mgS.g-1 and the sulfur removal 91.1%. The adsorption process followed pseudo-Second order kinetics and Langmuir adsorption isotherm model. In of high-sulfur commercial diesel fuel, 99% of total S-compounds have been removed.
Applications of Intersectionality Theory to Enhance Career Development Interventions in Response to COVID-19

The school counseling profession has an ethical responsibility to provide and advocate for individual students’ career planning and development, while expanding school counselors’ own multicultural and social justice advocacy to become effective culturally competent professionals. Additional literature is needed to identify how school counselors can adapt their career counseling approaches to fit the unique challenges and barriers of historically marginalized students both during and after the global COVID-19 pandemic. We describe how school counselors can use intersectionality theory as a framework for career development with marginalized populations in response to COVID-19 and its impact on the economic decline.
Education and personality in relation to visual impairment. Visual impairment during the Coronavirus pandemic

This article focuses on identifying the differences between the personality of people with visual impairments and people without such disabilities, identifying the influences of Covid-19 pandemic on people with visual impairments and understanding the possibilities of alleviating their difficulties.We also intended to highlight the daily struggles of the visually impaired. During this difficult period -the pandemic - they went through a lot: they could not shop, they could not receive help from other people, because they had to keep their distance and they had to give up their jobs.
Achieving Competitive Advantage in Hybrid Relationship Businesses

In the business world, relationships are important and require cooperative strategy by partners to succeed and achieve competitive advantage. Franchising is considered as suitable to study relationships and it is labelled as hybrid relationship because of the inherent difficulties in this business. Trust, Confidence, Credibility, Benevolence and Commitment between partners have profound effect on franchisors strategy. It forms basis to grow, achieve business goals and competitive advantage. However, what actions of the partners help achieve this are not elucidated for the benefit of the industry. This study identifies these synergistic and congruent actions, processes, and systems required, to achieve success. Based on the findings a model of good practice advising the necessary actions by partners to achieve growth and competitive advantage is developed
Antimicrobial Effect of Ficus carica on Nosocomial Bacterial Infections

Background: The incidence of drug resistance against chemical antimicrobial drugs has directed the attention to the use of medicinal plants in the treatment of infections. This study aimed to evaluate the antimicrobial activity of Ficus carica extracts against pathogenic bacteria, especially nosocomial infections. Methods: In this experimental study, aqueous and alcoholic extracts of F. carica were extracted. This study investigated inhibitory effects of plant extracts against pathogenic bacteria such as Staphylococcus saprophyticus, Escherichia coli, Salmonella typhimurium, and Proteus mirabilis as well as pathogenic nosocomial including Staphylococcus aureus, Klebsiella pneumonia, Acinetobacter, and Pseudomonas aeruginosa through disk diffusion methods, well diffusion method, and microdilution. Serial dilutions of the extracts were prepared in the range of 50 to 1000 mg/mL to determine the minimum inhibitory concentration. Results: The aqueous extract of the plant showed higher inhibitory effects against microbial strains compared to the alcoholic extract. The two strains of S. saprophyticus and S. aureus indicated greater susceptibility than extracts (e.g., aqueous, methanol, and ethanol). Statistically, there was a significant difference in the minimum inhibitory concentration of aqueous extract growth compared to alcoholic extracts. The aqueous extract had a minimum inhibitory concentration of 133 mg/mL and a minimum bactericidal concentration of 200 mg/mL on gram-positive bacteria of S. saprophyticus and S. aureus, respectively. Conclusion: The study found F. carica that extract had significant effects on microorganisms of two gram-positive bacteria including S. saprophyticus (62 mm in diameter) and S. aureus (60 mm in diameter), and the bacterium P. aeruginosa revealed the highest resistance against gram-negative bacteria. The extracts also indicated significant effects compared to the antibiotics as a control. Although further research is needed in this regard, F. carica extract can be suggested as a new antimicrobial agent in medical research.
Automated Construction Contract Summarization Using Natural Language Processing and Deep Learning

– The interpretation of construction contracts is crucial to the management and success of a project. Correct and accurate interpretation could support the smooth construction of high-quality built assets. Misunderstanding and omissions may lead to costly rework and delay. One main challenge of construction contract interpretation lies in the length of construction contracts. Therefore, the demand for reducing the length of such documents while keeping their main information elements emerges. To address this research need, the authors proposed to use natural language processing (NLP) and deep learning technology to summarize construction contracts (i.e., text summarization). There are many deep learning models available and developed for text summarization. However, their performance on construction contracts is to be tested. To address this gap, the authors proposed a new merit-based evaluation method to evaluate the performance of three deep learning models on text summarization of construction contracts, which were reported the state-of-the-art performance on text summarization tasks in general English corpus. The proposed method evaluated selected models from three aspects: information completeness, information correctness, and human readability. The Distilbart model, which scored 5.23, 4.82, and 5.05 in these three aspects, respectively, outperformed the other models in all three aspects.
Identification of Almond Cultivars by Pollen Isoenzymes

Horizontal starch gel electrophoresis was applied to the study of almond identification [Prunus amygdalus Batsch, syn. P. dulcís (Mill.) D.A. Webb] using pollen from 44 cultivars of different origin. Variability was found in all of the nine enzymatic systems analyzed (PGM, AAT, GPI, LAP, 6PGD, AcP, CAT, IDH, and ADH). The enzymatic systems with the highest discriminating possibilities were PGM, CAT, AcP, and LAP. This variability enabled the 44 cultivars to be distinguished with the exception of two pairs. The study of isoenzymes for cultivar identification has several advantages, including environmental stability and the codominant expression of isoenzymatic genes. The analysis of a protein structure using electrophoresis is, to a first approximation, an analysis of a gene (9) and, therefore, its applications in plant breeding programs are wide. Results obtained with isozyme electrophoresis are easily repeatable, and can be obtained rapidly without having to carry out field experiments, which saves time and money. This is of special interest with fruit trees species due to their long life cycle and their large size. Electrophoresis
Jackfruit genome and population genomics provide insights into fruit evolution and domestication history in China

Abstract As the largest known tree-borne fruit in the world, jackfruit (Artocarpus heterophyllus) is an important cultivated crop in tropical regions of South and Southeast Asia. The species has been cultivated in China for more than 1000 years, but the history of its introduction to the country remains unclear. We assembled a high-quality chromosome-level genome of jackfruit into 985.63 Mb with scaffold N50 of 32.81 Mb. We analyzed whole-genome resequencing data of 295 landraces to investigate the domestication history in China and agronomic trait evolution of jackfruit. Population structure analysis revealed that jackfruits of China could be traced back to originate from Southeast Asia and South Asia independently. Selection signals between jackfruit and its edible congener, cempedak (Artocarpus integer), revealed several important candidate genes associated with fruit development and ripening. Moreover, analyses of selective sweeps and gene expression revealed that the AhePG1 gene may be the major factor in determining fruit texture. This study not only resolves the origins of jackfruit of China, but also provides valuable genomic resources for jackfruit breeding improvement and offers insights into fruit size evolution and fruit texture changes.
Topological alloy engineering and locally linearized gap dependence on concentration

Alloy engineering is a well-established approach to tune various materials’ properties, but its application to topological alloys remains rudimentary. Of special interest is the band gap, the most deﬁning property of topological materials; however, the concentration dependence of energy gaps in topological alloys remains unknown. Here we systematically investigate the band gap evolution of a topological alloy as a function of alloy concentration, using KZnSb 1 − x Bi x as a prototype, based on ﬁrst-principles calculations. In contrast to the well-established smooth bowing curve for a trivial gap in semiconductor alloys, we found that the topological gap evolves generally with a complex fragmented pattern due to topological phase transitions, and most strikingly a linear dependence on concentration locally in each distinct phase. Such gap linearization is fundamentally rooted in the linear dependence on alloy concentration of spin-orbit coupling (SOC) that predominantly determines a topological gap. Furthermore, we demonstrate topological alloy engineering as a general approach to tune the topological order by modulating the band edge composition and degeneracy through the alloying-induced interplay of SOC and atomic orbital on-site energy, while the linear gap dependence on alloy concentration remains independent of the degree of topological order.
Characterization of SIBLING Proteins in the Mineralized Tissues

The SIBLING proteins are a family of non-collagenous proteins (NCPs) previously thought to be expressed only in dentin but have been demonstrated in other mineralized and non-mineralized tissues. They are believed to play vital roles in both osteogenesis and dentinogenesis. Since they are tightly regulated lifelong processes and involve a peak of mineralization, three different age groups were investigated. Fifteen wild-type (WT) mice were euthanized at ages 1, 3, and 6 months. Hematoxylin and eosin staining (H&E) was performed to localize various microscopic structures in the mice mandibles and tibias. The immunostaining pattern was compared using antibodies for dentin sialoprotein (DSP), dentin matrix protein 1 (DMP1), bone sialoprotein (BSP), and osteopontin (OPN). Immunostaining of DSP in tibia showed its most noticeable staining in the 3-month age group. DSP was expressed in alveolar bone, cellular cementum, and PDL. A similar expression of DMP1 was seen in the tibia and dentin. BSP was most noticeably detected in the tibia and acellular cementum. OPN was mainly expressed in the bone. A lower level of OPN was observed at all age groups in the teeth. The immunostaining intensity was the least detected for all proteins in the 6-month tibia sample. The expression patterns of the four SIBLING proteins showed variations in their staining intensity and temporospatial patterning concordant with skeletal and dental maturity. These findings suggest some role in this tightly regulated mineralization process.
Improving Mapreduce Speculative Executions with Global Snapshots

—Hadoop’s MapReduce implementation has been employed for distributed storage and computation. Although efﬁcient for parallelizing large-scale data processing, the challenge of handling poor-performing jobs persists. Hadoop does not ﬁx straggler tasks but instead launches equivalent tasks (also called a backup task ). This process is called Speculative Execution in Hadoop. Current speculative execution approaches face challenges like incorrect estimation of tasks run times, high consumption of system resources and inappropriate selection of backup tasks. In this paper, we propose a new speculative execution approach, which determines task run times with consistent global snapshots and K-Means clustering. Task run times are captured during data processing. Two categories of tasks (i.e. fast and stragglers) are detected with K-Means clustering. A silhouette score is applied as decision tool to determine when to process backup tasks, and to prevent extra iterations of K-Means. This helped to reduce the overhead incurred in applying our approached. We evaluated our approach on different data centre conﬁgurations with two objectives: i ) the overheads caused by implementing our approach and ii ) job performance improvements. Our results showed that i ) the overheads caused by applying our approach is becoming more negligible as data centre sizes increase. The overheads reduced by 1.9%, 1.5% and 1.3% (comparatively) as the size of the data centre and the task run times increased, ii ) longer mapper tasks runs have better chances for improvements, regardless of the amount of straggler tasks. The graphs of the longer mappers were below 10% relative to the disruptions introduced. This showed that the effects of the disruptions were reduced and became more negligible, while there was more improvement in job performance.
Xylem Differentiation and Boron Accumulation in ‘Italian’ Prune Flower Buds

Since B levels in prune (Prunus domestica L.) flowers may affect fruit set, the accumulation of B in buds was studied for 2 months prior to bloom to determine when B enters buds and the importance of the xylem as the supply route. Bud anatomy and the distribution of azosulfamide dye in excised prune twigs indicated that xylem in the axes of flower buds differentiated and became functional only when buds begin to swell, 5 weeks before bloom. Discontinuous xylem connections prior to bloom may impede B movement into dormant buds. In intact trees, B accumulated in buds slowly before bud swelling, but rapidly as buds accumulated dry matter from swelling until bloom. The concentration of B in xylem exudate was unchanged from 19 Jan. until bloom on 1 Apr., whereas marked increases in the concentrations of P, K, Ca, and S began 5 weeks before bloom. These changes suggest that the remobilization of B in the xylem of branches prior to bloom is more limited than that of other elements. Transpiration from buds was calculated from the rate of Ca accumulation in buds and Ca concentrations in xylem exudate, by assuming all Ca entered buds via the xylem. Using calculated daily transpiration rates and concentrations in xylem exudate, it was estimated that only 26% of the B entering buds was supplied by the xylem.
Linear-to-Circular Polarization Converter With Wide Angular Stability and Near Unity Ellipticity—Application to Linearly Polarized Antenna Array

A transmission type linear-to-circular polarization converter is proposed using split-rings and metallic strip printed on the both sides of the dielectric substrate and is further utilized to obtain a circularly polarized (CP) antenna array with high gain. The size of the unit cell of the converter is <inline-formula> <tex-math notation="LaTeX">$0.394\times 0.374\times 0.15\,\,\lambda _{o}^{3} $ </tex-math></inline-formula> (<inline-formula> <tex-math notation="LaTeX">$\lambda _{o}$ </tex-math></inline-formula> is the free space wavelength with respect to 29.85 GHz). The axial ratio bandwidth (ARBW) and ellipticity (<inline-formula> <tex-math notation="LaTeX">${e}$ </tex-math></inline-formula>) of the polarization converter remain relatively stable under both the transverse electric (TE) and transverse magnetic (TM) polarization up to oblique incidence of 60° and 45°, respectively. The proposed converter exhibits a measured ARBW of 9.67% (29.50–32.50 GHz). Furthermore, the <inline-formula> <tex-math notation="LaTeX">${e}$ </tex-math></inline-formula> lies in the range of 0.94–0.98 in the operating band of the converter. The CP antenna array with an overall size of <inline-formula> <tex-math notation="LaTeX">$4.38\times 4.38\times 0.75\,\,\lambda _{o}^{3} $ </tex-math></inline-formula> is obtained by placing a 45° rotated <inline-formula> <tex-math notation="LaTeX">$15\times15$ </tex-math></inline-formula> array of converter’s cells broadside to <inline-formula> <tex-math notation="LaTeX">$4\times4$ </tex-math></inline-formula> linearly polarized (LP) patch antenna array and exhibits measured peak gain of 18.7 dBic. The proposed polarization converter and CP antenna array can find applications in the uplink Ka-band fixed-satellite services (29.5–30.0 GHz).
A model for a plasma ball

A detailed simple model is applied to study a high temperature plasma ball. It is assumed that the ions and delocalized electrons are distributed randomly throughout the charged plasma ball (extra/missing charge is assumed to be found in a thin layer on the surface of a ball). The energy of the microscopic electrostatic field around the ions is taken into account and calculated. It is shown in the framework of this model that regarded charged plasma ball can be stable as a metastable state, when subjected to an external (atmospheric) pressure. Equilibrium radius of a ball is calculated.
Effects of Four Rootstocks on Yield and Quality of Pistachio Nuts1

During the first 5 years of production, significantly greater yields of pistachios were obtained with the ‘Kerman’ on seedlings identified as Pistacia atlantica Desf. than with ‘Kerman’ on seedlings of P. palaestina Boiss. , P. terebinthus L. , or P. vera L. The least productive combination was ‘Kerman’ on P. vera, the species that produces the edible pistachio nut. Weight per nut, percent blank nuts, and percent nuts with split shells did not differ significantly among the rootstock combinations.