Miracle-dz/UniFAR-FTUs huggingface dataset:
GESTIONANDO LA DIVERSIDAD EN LAS ORGANIZACIONES A TRAVÉS DE LAS COMUNIDADES. INVESTIGACIÓN CON MÉTODOS MIXTOS

Introduction The management of diversity in organizations involves knowing those personal, social, and cultural factors that may intercede. The communities that arise in organizations are contexts that can help promote inclusion. Goals; Methods We present a mixed study based on a sequential exploratory design to study the perception of inclusion in an organization with a strong sense of community. Results The results obtained in the quantitative and qualitative phases point to the existence of a common perception of inclusion and high values in all defined categories. Conclusions. The organizational values, practices, policies, and culture are aligned with inclusion when community development is promoted within the organization. Mixed methods have allowed us to approach a complex construct from different perspectives. The results obtained in the qualitative phase have enriched and complemented those obtained in the quantitative phase.
Acceptance, Understanding & Experience: Exploring Obstacles to Evolution Education among Advanced Placement Teachers

Abstract Students in the United States who wish to begin early enrollment in college-level coursework often turn to Advanced Placement (AP) secondary coursework such as AP Biology as an accelerated option. As such, it is expected that those teachers who are responsible for the AP Biology courses hold an advanced level of subjectarea expertise that extends to topics that are often seen as controversial in K–12 classrooms, including evolution. We surveyed 71 AP Biology teachers in a state in the southeastern United States to see how their levels of evolution content knowledge, evolution acceptance, and understandings of the nature of science compared to results that have been found in similar studies in general biology teachers and preservice science teachers. Our results indicate that AP Biology teachers in the Southeast have understandings and levels of acceptance regarding evolution that are in line with or lower than those of fellow teachers. This suggests that in spite of the nationalized AP curriculum, there are still gaps in fundamental knowledge, understandings, and approach that need to be addressed.
Investigation on Biomolecules in Ethanol Extract of Fruits of Prosopis Juliflora (Sw.) DC. Using GC-MS

ABSTRACT One hundred and twenty-one compounds were identified by GC-MS analysis of ethanol extract of fruits from Prosopis juliflora. The major constituents identified were terpenoids: Limonene diol, Dihydrocarvone, Limonene dioxide, trans-Carveol, Dinorsesquiterpenoid, and fatty acids and its derivatives: 2-chloroethyl linoleate, Cis-Vaccenic acid, Linoleic acid. The minor compounds identified were Monolinolein, Ricinoleic acid, Ethyl elaidate, Palmitic acid, Mome inositol, Uroterpenol, p-methylacetophenone, Glycerol, Limonene, and Cyclooctanone.
The Prevalence of Hepatitis B, Hepatitis C and Human Immunodeficiency Viral Infections Among a Large Population of Afghans

Background: Viral infections are a public health problem. Objectives: We would like to evaluate the seroprevalence of hepatitis B, C, and human immunodeficiency virus infections (HIV) in a large sample of the Afghanistan population in Kabul. Methods: In total, 196516 Afghani citizens went to Fateme-al-Zahra clinic to perform obligatory checkup for traveling to Iran. The serum samples were primarily checked by rapid tests for HBV, HCV, and HIV, and in case of positive results, a commercial ELISA kit used as the confirmatory test. Results: Out of 196516 participants, 153763(78%) were men and 42753 (22%) were women. The seroprevalence of HBV, HCV, and HIV infections was 1.23% (2430), 0.13% (265) and 0.018% (16), respectively. The prevalence of HCV and HIV was significantly higher in males than females (m/f: 0.097%/0.037% vs. m/f: 0.008%/0%, respectively; P < 0.05). The simultaneous co-infection of HBV-HCV and HBV-HIV was 0.004% and 0.0005 %, respectively. Conclusions: This study showed a low prevalence of HBV, HCV, and HIV among the study group. Considering the selection bias, sensitivity, and specificity of rapid tests, the real prevalence expected to be quite higher. Proper strategies to improve the social awareness and implement preventive vaccination for HBV can decrease the incidence of these infections.
High vegetative compatibility diversity of Cryphonectria parasitica infecting sweet chestnut (Castanea sativa) in Britain indicates multiple pathogen introductions

Chestnut blight, caused by Cryphonectria parasitica, was identified in Devon, UK, in December 2016. Intensive surveys detected the disease at further sites in Devon (seven), Berkshire (one), Dorset (one), Derbyshire (four) and a cluster of eight sites in southeast London. Over 570 survey samples were tested, and 227 were positive for C. parasitica by isolation and real-time PCR. A total of 227 isolates were tested for mating type, and 197 screened for vegetative compatibility group (VCG) and compared with VCGs known from mainland Europe. The same isolates were also screened for the presence of Cryphonectria hypovirus 1 (CHV-1). Eleven VCGs were identified within the UK population. Five corresponded to already known European VCGs but six were unique. The European VCGs mainly came from the Devon, Dorset, Berkshire and Derbyshire disease outbreaks, whilst unique VCGs were almost exclusively from the southeast London cluster. Both mating types were detected, but only one mating type was present at each site, with the exception of a single Devon site. Perithecia of C. parasitica were never observed at any site. CHV-1 was found in seven isolates from three different locations and was always subtype-I, which has limited hypovirulence. Therefore, although CHV-1 is associated with C. parasitica at some outbreaks, it probably has limited impact on virulence. The diversity of VCGs and their distribution at outbreak sites, together with findings of CHV-1, suggests C. parasitica has been introduced to the UK multiple times over at least two decades through international plant trade.
Obstacle Recognition Based on Multilayer LiDAR

: Aiming at the problem that four-layer LiDAR is difficult to identify neighboring obstacles in the obstacle recognition of complex road environment, an obstacle recognition algorithm considering both adaptive and real-time characteristics is proposed. The algorithm clusters obstacles detected based on Dempster-Shafer Theory (DST) and conflict coefficients in a grid map through segment based connected region labeling algorithm, which reduces the number of neighborhood searches and increases the real-time performance of the algorithm. The Borges distance threshold is improved by combining the characteristics of obstacle data, and adaptive recognition is used to optimize the recognition of neighboring obstacles through the improved distance threshold and the distribution characteristics of obstacle data. The experimental results show that the algorithm can significantly improve the recognition of neighboring obstacles and the real-time performance of the algorithm meets the real-time requirements of detecting obstacles when unmanned vehicles are driving.
Generation Mean Analysis for Three Bread Wheat Crosses under Normal and Water Stress Treatments

The objective of this study was to identify tolerant and susceptible genotypes of bread wheat under different irrigation treatments and determine the type of gene action and some genetic parameters in three bread wheat crosses; (Line 1 × Line 2), (Line1 × Giza 171) and (Misr 2 × Line 3) under normal irrigation and water stress treatments. Genetic materials included six populations (P1, P2, F1, F2, BC1 and BC2) for each cross. Positive and high significant values for heterotic effects relative to the midparent of grain yield were found for the second (Line1 × Giza 171) and third cross (Misr 2 × Line 3) under both irrigation treatments, while positive values heterosis for better parent detected for the third cross under both irrigation treatments. Non-allelic interaction was found for all studied characters in all the crosses under both irrigation treatments. Dominance effects were greater than the additive gene effect. Dominance × dominance gene interaction was higher in magnitude than additive × additive and additive × dominance for most characters under both irrigation treatments, indicating that these characters greatly affected by dominance and non-allelic interactions. Heritability in the broad sense was high for all the studied characters in three crosses under both irrigation treatments, while narrow sense heritability estimates were moderate to high for all the studied characters under both irrigation treatments. In general, the highest values of grain yield/plant were in the third cross (Misr2 × Line 3) under both irrigation treatments, based on tolerance index (Line 1) and (Line 2) are the most tolerant for water stress and the first cross (Line1 × Line2) was the most one for water stress tolerant, so this cross is recommended under water stress conditions.
Isolation, Characterization and Antimicrobial Screening of Betulinic Acid from the Stem Extract of Fadogia erythrophloea

The stem bark of Fadogia erythrophloea (Rubiaceae) was extracted exhaustively using methanol by cold maceration. The crude extract was then sequentially partitioned into n-hexane, chloroform and ethyl acetate fractions. Purification of the chloroform fraction by column and preparative thin layer chromatography lead to the isolation of the pure compound. Structural elucidation using FTIR, 1H and C NMR spectroscopic techniques confirmed that the isolated compound was betulinic acid (a lupane-type triterpene). The antimicrobial property of the compound against gram-positive and gram-negative microbes was evaluated using well diffusion method with commercial antibiotics; ciprofloxacin and fluconazole, as controls. The antimicrobial screening revealed sensitivity of S. aureus, S. faecalis, B. cereus, E. coli, K. pneumonia, S. typhi, S. dysenteriae, C. albicans, C. Krusei; with resistance of S. pyogenes, B. subtilis, C. ulceran, P. aeruginosa to the isolated compound. The zone of inhibition ranges from 25 – 30 mm with the highest against Escherichia coli and the lowest against Klebsiella pneumonia on which both control drugs were not sensitive. The MIC and MBC / MFC values ranges from 6.25 – 25 µg/ml and 25 – 50 µg/ml respectively. The in vitro anti-microbial screening of the isolated compound (betulinic acid) supports the ethno medicinal claim on the uses of Fadogia erythrophloea for the treatment of malaria, childhood fever, dysentery diarrhea, colic and constipation.
Advective Controls on the North Atlantic Anthropogenic Carbon Sink

Though it is clear that the North Atlantic is the site of the highest storage of anthropogenic carbon (Cant) per area, it is uncertain whether the air‐sea Cant fluxes contributing to North Atlantic Cant storage occur in the subpolar gyre or upstream in the subtropical gyre. Using data and models, we show that air‐sea Cant uptake capacity is advected into the subpolar gyre along the same subsurface pathway as nutrients. This pathway is known as the nutrient stream. On the A22 section between Woods Hole and Bermuda, nutrient stream waters are the oldest in the upper 2,000 m and contain low Cant. These northward moving waters are sufficiently depleted in Cant such that they could sustain a subpolar air‐sea Cant flux of −0.19 Pg Cant year−1. The ocean hindcast model used here indicates that despite some subtropical re‐circulation, uptake capacity is transported into the subpolar gyre where it sustains subpolar air‐sea Cant uptake. With this model, we show that high‐ and low‐end estimates of subpolar air‐sea Cant flux are reconciled by accounting for a factor of two difference in their respective study areas. If half of the observed air‐sea Cant uptake capacity transport at A22 is ventilated in the subpolar region, it can fully support high‐end estimates of the subpolar air‐sea Cant sink (−0.09±0.01 Pg Cant year−1).
Fake News From The Islamic Perspective

This paper discusses about fake news from the Islamic perspective. Derived from previous scholarly discussions and Islamic manuscripts on fake news, this paper attempts to provide what Islam has to say about fake news. The discussion starts with scholarly literature about fake news to understand the concept of fake news, followed by the issue of fake news in news sourcing. More emphasis is given to online news due to the fact that fake news emerges abundantly and easily on online platforms than before. Besides that, the role of technology in reducing or/and increasing the threat of fake news in modern communication is also discussed. The final part of the paper discusses specifically on fake news from the Islamic perspective.
Chemical messengers: mediated oxidations with the enzyme laccase

The use of low molecular-weight compounds (viz., mediators) in combination with fungal laccase makes the enzyme suitable for the oxidation of ‘non-natural’ non-phenolic substrates. Benzyl alcohols are thus oxidised to carbonylic products by laccase/mediator systems in the presence of oxygen, although laccase cannot oxidise these substrates directly. The reaction is carried out by the oxidised form of the mediator (Medox), generated on its interaction with laccase, and the structure of the Medox species is crucial for the mechanism of the ensuing non-enzymatic oxidation of the substrate. 1-Hydroxybenzotriazole (HBT), N-hydroxyphthalimide (HPI), violuric acid (VLA) and TEMPO have been investigated as mediators, and experimental evidence is provided that enables the radical hydrogen atom transfer route with the laccase/HBT, laccase/HPI and laccase/VLA systems to be assessed unambiguously, although the laccase/TEMPO system follows a different and ionic oxidation route. Copyright © 2004 John Wiley & Sons, Ltd.
Strategic management failures in the pursuit of community sport development in a local sports council

ABSTRACT Rationale/purpose: This case study examined how board members’ actions, experiences, and priorities influenced the strategic management process related to the pursuit of community sport development in a local sports council. Design/methodology/approach: The study incorporates interviews, document analysis, and active-member researcher observations with stakeholder theory to provide insight from multiple stakeholders into the role of the board of directors in the strategic management process. Findings: Despite good intentions, the Council was not able to effectively utilize a strategic management process to foster community sport development due to unrealized stakeholder buy-in to the Council's philosophy, reduced board collaboration, and strong self-interest driving an agenda towards particular strategic issues. Practical implications: Recommendations are provided for navigating the challenges of strategizing for community sport development. Research contribution: The findings offer a critical perspective on the role of board of directors in the strategic management process and the challenges associated with using strategic management for the pursuit of community sport development.
Development of a Walnut (Tetracarpidium conophorum) Cracker

The emerging knowledge of the use and importance of African walnut (Tetracarpidium conophorum) for different purposes has made the study for the development of walnut cracker imperative. A cracker for walnut was designed, constructed and evaluated. The major components of the machine are the cracking and cleaning units. The cracking of the walnuts to bring out the needed oily seeds is achieved through the compressive and shearing actions between the two abrasive drums when the nuts fell in between them, while the cleaning unit has a centrifugal fan that separates the seed from the cracked shells via air velocity. The performance evaluation of the machine was carried out using four levels of cracking drum speeds (280, 310, 340, and 370 rpm) and fan speeds (1200, 1400, 1600, and 1800 rpm); also two levels of feed rates (32 and 42 kg/h) and moisture content (10.3 and 17.6%wb). The results obtained showed that; on the average, the machine had a cracking efficiency of 92.63%, cleaning efficiency of 95.48%, percentage seed loss of 5.93%, mechanical damage index of 11.06%, throughput of 21.05 kg/h and cracker performance index of 88.3%. The power requirement for operating the machine is 1.68 kW. With this newly developed walnut cracker, full exploitation of the nutritional, industrial and medicinal potential of the walnut seed will be enhanced.
DNA-basert overvåking av den skandinaviske jervebestanden 2015

4 Innhold . 5 Forord . 6 1 Innledning . 7 2 Metodikk . 7 2.1 Innsamling av materiale og laboratoriearbeid . 7 2.2 Bestandsestimering . 8 3 Resultater . 9 3.1 Analyserte prøver i Norge, Sverige og Finland . 9 3.2 Det norske materialet . 11 3.2.1 Antall individer og kjønnsfordeling . 11 3.2.2 Vevsprøver av felte jerver . 12 3.3 Det svenske materialet . 14 3.4 Identifisering av grensejerver . 14 3.5 Bestandsestimering i åpne bestander . 16 4 Diskusjon . 17 5 Referanser . 19 Vedlegg 1 . 20
Improving Faster R-CNN Framework for Multiscale Chinese Character Detection and Localization

SUMMARY Faster R-CNN uses a region proposal network which consists of a single scale convolution ﬁlter and fully connected networks to localize detected regions. However, using a single scale ﬁlter is not enough to detect full regions of characters. In this letter, we propose a simple but e ﬀ ective way, i
TPACK INSTRUCTIONAL DESIGN MODEL IN VIRTUAL REALITY FOR DEEPER LEARNING IN SCIENCE AND HIGHER EDUCATION: FROM “APATHY” TO “EMPATHY”

Deeper learning is associated with increased retention, intrinsic motivation, the durability of knowledge and a solid understanding of the underlying principles of studied phenomena. It advocates learning beyond rote content knowledge accumulation using student-centred instructional strategies such as case-based learning, simulations, collaborative learning, self-directed learning and learning for transfer. Science education in Higher Education is crucial for the social, scientific and economic progress of both advanced and developing countries. Desktop Virtual Reality is a technological medium that can be utilized to facilitate deep learning instructional strategies in science education. Desktop Virtual Reality features pervasive, computer-generated 3D virtual immersive environments where users interact through digital agents or avatars. In this paper, we explore if three learning scenarios from the fields of Biology, Earth Sciences (Geology) and Physics are updating the traditional transfer of knowledge. Passive, teacher-centred approaches often cause a sentiment of “apathy” to students while interactive student-centred approaches for Deeper Learning in Virtual Reality environments evoke feelings of “empathy”. More specific, we inquire to what extend does the TPACK instructional design model in Virtual Reality support Deeper Learning. Results indicate that academic teachers were able to enrich their teaching paradigm by integrating learning activities in virtual reality that evoke students’ interest, motivation and autonomy. Moreover, and after discussing the research results, we propose recommendations that instructional designers need to take in consideration to promote Deeper Learning in blended distance e-learning settings using social VR. The TPACK Learning Scenarios were developed in Palestinian Higher Education Institutes (HEIs) in the context of the capacity building Erasmus+ KA2 project “Virtual Reality as an Innovative and Immersive Tool for HEIs in Palestine (TESLA)”.
Fallbericht: Es ist nicht immer so, wie es scheint: Intrakranielle Manifestation der Erdheim-Chester- Erkrankung (ECD) // Case Report: Erdheim-Chester disease

Case Report: Erdheim-Chester disease. Erdheim-Chester disease (ECD) is a rare non-Langerhans histiocytosis with possible manifestation in multiple organ systems. Only few cases are described in literature. The following case report presents a 54-year-old female patient with CNS dominant form of ECD, in whom the disease manifested itself as an intracranial tumor with neurological symptoms like gait disturbance, ataxia, dysarthria and dizziness. The suspected diagnosis was a meningioma with compression of the cerebellum. After tumor resection of the intracranial tissue, the histopathological diagnosis was Erdheim-Chester disease. As it is frequently for this disease, the patient also presented a perinephritic infiltration and a central diabetes insipidus. Postoperative the neurological symptoms did not decrease, further manifestations of the disease could not be detected in the following examinations. The patient was referred to a specialized unit for further treatment with vemurafenib if the BRAF mutation was positive. J Neurol Neurochir Psychiatrie 2020; 21 (2): 72–3.
Multi-Beam Multiplexing Design for Arbitrary Directions Based on the Interleaved Subarray Architecture

Through a common set of analogue coefficients and a simple digital coding scheme in the form of ones and minus ones, a previous technique can only multiplex two beams whose directions satisfy a fixed relationship. In this work, two novel designs are proposed, which together with the corresponding inter-subarray coding schemes, can achieve multi-beam multiplexing for arbitrary directions to serve corresponding users. In the first design, based on the relationship of directions between the two required beams, the adjacent antenna spacing is regarded as a variable to be determined, while in the second design, the adjacent antenna spacing is fixed and an alternate optimisation procedure is proposed to solve the problem based on a least-square formulation. Designed examples based on uniform linear arrays and uniform planar arrays are provided to demonstrate the effectiveness of the proposed methods.
MRI Manufacturer Shift and Adaptation: Increasing the Generalizability of Deep Learning Segmentation for MR Images Acquired with Different Scanners.

Purpose To quantitatively evaluate the generalizability of a deep learning segmentation tool to MRI data from scanners of different MRI manufacturers and to improve the cross-manufacturer performance by using a manufacturer-adaptation strategy. Materials and Methods This retrospective study included 150 cine MRI datasets from three MRI manufacturers, acquired between 2017 and 2018 (n = 50 for manufacturer 1, manufacturer 2, and manufacturer 3). Three convolutional neural networks (CNNs) were trained to segment the left ventricle (LV), using datasets exclusively from images from a single manufacturer. A generative adversarial network (GAN) was trained to adapt the input image before segmentation. The LV segmentation performance, end-diastolic volume (EDV), end-systolic volume (ESV), LV mass, and LV ejection fraction (LVEF) were evaluated before and after manufacturer adaptation. Paired Wilcoxon signed rank tests were performed. Results The segmentation CNNs exhibited a significant performance drop when applied to datasets from different manufacturers (Dice reduced from 89.7% ± 2.3 [standard deviation] to 68.7% ± 10.8, P < .05, from 90.6% ± 2.1 to 59.5% ± 13.3, P < .05, from 89.2% ± 2.3 to 64.1% ± 12.0, P < .05, for manufacturer 1, 2, and 3, respectively). After manufacturer adaptation, the segmentation performance was significantly improved (from 68.7% ± 10.8 to 84.3% ± 6.2, P < .05, from 72.4% ± 10.2 to 85.7% ± 6.5, P < .05, for manufacturer 2 and 3, respectively). Quantitative LV function parameters were also significantly improved. For LVEF, the manufacturer adaptation increased the Pearson correlation from 0.005 to 0.89 for manufacturer 2 and from 0.77 to 0.94 for manufacturer 3. Conclusion A segmentation CNN well trained on datasets from one MRI manufacturer may not generalize well to datasets from other manufacturers. The proposed manufacturer adaptation can largely improve the generalizability of a deep learning segmentation tool without additional annotation.Supplemental material is available for this article. © RSNA, 2020.