Miracle-dz/UniFAR-FTUs huggingface dataset:
Lean resilience: AURA (Active Usage of Resilience Assets) framework for post-COVID-19 supply chain management

Purpose: Supply chain resilience capabilities are usually considered in light of some anticipated events and are as passive assets, which are “waiting” for use in case of an emergency This, however, can be inefficient Moreover, the current COVID-19 pandemic has revealed difficulties in the timely deployments of resilience assets and their utilization for value creation We present a framework that consolidates different angles of efficient resilience and renders utilization of resilience capabilities for creation of value Design/methodology/approach: We conceptualise the design of the AURA (Active Usage of Resilience Assets) framework for post-COVID-19 supply chain management through collating the extant literature on value creation-oriented resilience and practical examples and complementing our analysis with a discussion of practical implementations Findings: Building upon and integrating the existing frameworks of VSC (Viable Supply Chain), RSC (Reconfigurable Supply Chain) and LCNSC (Low-Certainty-Need Supply Chain), we elaborate on a new idea in the AURA approach – to consider resilience as an inherent, active and value-creating component of operations management decisions, rather than as a passive “shield” to protect against rare, severe events We identify 10 future research areas for lean resilience integrating management and digital platforms and technology Practical implications: The outcomes of our study can be used by supply chain and operations managers to improve the efficiency and effectiveness by turning resilience from passive, cost-driving assets into a value-creating, inclusive decision-making paradigm Originality/value: We propose a novel approach to bring more dynamics to the notion of supply chain resilience We name our approach AURA and articulate its two major advantages as follows: (1) reduction of disruption prediction efforts and (2) value creation from resilience assets We offer a discussion on ten future research directions towards a lean resilience © 2021, Emerald Publishing Limited
The strategy of student-worksheet design with a causalitic-learning model to improve creative-thinking ability

This study aims to identify preparation strategies a causalitic model of student-worksheet (SW) to improve students’ creative thinking ability (CTA). This type of research is a Research and Development with a 4-D model. The research procedure refers to the stages in the 4-D model, namely the stages of defining, designing, developing, and disseminating. The instrument used was the SW validation questionnaire with a Likert scale of 1 to 4. The data were obtained from the SW validation by a validator consisting of 2 expert lecturers and 3 high school physics teachers. The validation result is 86% with very valid criteria. Based on the values and validation criteria, the causal model SW to improve the creative thinking ability of students is suitable for use in learning. The SW preparation strategy includes curriculum analysis, making needs maps, determining the SW title, basic competencies and indicators of competency achievement, central themes, and assessment tools, as well as compiling materials, and paying attention to the SW structure of the eight sets of strategies, there are three are uniques, namely the second, sixth, and eighth steps.
Tropical Cyclone Resistance to Strong Environmental Shear

It is widely known that strong vertical wind shear (exceeding 10 m s−1) often weakens tropical cyclones (TCs). However, in some circumstances, a TC is able to resist this strong shear and even restrengthen. To better understand this phenomenon, a series of idealized simulations are conducted, followed by a statistical investigation of 40 years of Northern Hemisphere TCs. In the idealized simulations, a TC is embedded within a time-varying point-downscaling framework, which is used to gradually increase the environmental vertical wind shear to 14 m s−1 and then hold it constant. This controlled framework also allows for the separation of the TC-induced flow from the prescribed environmental flow. The TC-induced outflow is found to withstand the strong upper-tropospheric environmental flow, and this is manifested in the TC-induced shear difference (TCSD) vector. The TCSD vector, together with the environmental shear vector, defines an azimuthal range within which most of the asymmetric convection is located. The statistical analysis confirms the findings from the idealized simulations, and the results are not strongly sensitive to the TC intensity or basin. Moreover, compared with total shear, the inclusion of TCSD information creates a slightly better correlation with TC intensity change. Overall, the TCSD vector serves as a diagnostic to explain the ability of a TC to resist strong environmental shear through its outflow, and it could potentially be used as a parameter to predict future intensity change.
Genetic Variability, Heritability and Genetic Advance Estimates in Some Maize ( Zea mays L.) Varieties in Sudan

An experiment was conducted during winter season 07/2008. Twenty five maize varieties for ten traits were studied in randomized complete block design (RCBD) with three replications at the field of experiments of the Faculty of Agriculture, Sudan University of Science and Technology in Khartoum (Shambat) Sudan to estimate the magnitude of their genetic variability, heritability and genetic advance for yield and yield components were studied plant height (cm), ear height (cm), fresh ear weight dehusked (g), number of husk leaves, dry ear weight (g), ear length (cm), number of rows per ear, number of kernels per row, weight of hundred kernels (g), and grain yield (kg/ha). Analysis of variance revealed significant differences for most characters studied among the varieties. The phenotypic coefficient of variation (PCV) is higher than genotypic coefficient of variation (GCV) recorded for all traits. The highest heritability and high value (64.29%) was found for number of husk leaves followed by ear height (60.29%), moderate heritability estimates were observed for plant height (51.74%), fresh ear weight dehusked (46.91%) and ear length (39.29%). Genetic advane as percent of mean was the highest for ear length (51.04) and weight of hundred kernels (20.49) indicating additive gene action for these traits. The information generated from this study, maize breeder can be exploited for future maize breeding pro-grams. variance was found for number of rows per ear (0.13) and weight of hundred kernels (0.41). The highest phenotypic variances were for grain yield (3,122,322.47) followed by fresh ear weight dehusked (645.99) while the lowest were for number of rows per ear (0.58) and ear length (1.12). The highest environmental variance was found for grain yield (2,689,904.28) and fresh ear weight dehusked (342.98) while lowest was found for number of husk leaves (0.40) and number of rows per ear (0.45). Phenotypic variances were greater than the genotypic variances.
Molybdenum carbide nanowires: facile synthesis, a new hybrid phase and their use as transparent electrodes

Several synthetic routes exist for the production of bulk molybdenum carbides whereas production of larger quantities of different molybdenum carbide phases in the form of nanowires and nanowire networks is still challenging. Here we report a novel route for synthesis of molybdenum carbide nanowires by carburisation of Mo6S2I8 nanowire bundles. Gram quantities of molybdenum carbide nanowires composed of mainly MoC and Mo2C phases were obtained and further reduced to single phase Mo2C nanowires. By controlling the reaction conditions during the transformation, we can modify the ratio between MoC and Mo2C phases in nanowires and produce a novel hybrid inorganic/organic nanomaterial that we identified as molybdenum carbide nanowires densely covered with carbon nanofibres. We used the same approach on nanowire networks and demonstrate a new use of molybdenum carbide in the form of nanowire networks as transparent electrodes. The sheet resistance of such robust and air-stable electrodes is around 1050 Ω sq−1 at room temperature and their transmittance between 93% and 95% in the range of 200–900 nm. The electrodes are thus suitable for electro-optic applications, especially where high transparency in the UV region is required.
Calculation for High Pressure Behaviour of Potential Solar Cell Materials Cu2FeSnS4 and Cu2MnSnS4

Exploring alternatives to the Cu2ZnSnS4 kesterite solar cell absorber, we have calculated first principle enthalpies of different plausible structural models (kesterite, stannite, P4¯ and GeSb type) for Cu2FeSnS4 and Cu2MnSnS4 to identify low and high pressure phases. Due to the magnetic nature of Fe and Mn atoms we included a ferromagnetic (FM) and anti-ferromagnetic (AM) phase for each structural model. For Cu2FeSnS4 we predict the following transitions: P4¯ (AM) →16.3GPa GeSb type (AM) →23.0GPa GeSb type (FM). At the first transition the electronic structure changes from semi-conducting to metallic and remains metallic throughout the second transition. For Cu2MnSnS4, we predict a direct AM (kesterite) to FM (GeSb-type) transitions at somewhat lower pressure (12.1 GPa). The GeSb-type structure also shows metallic behaviour.
The Myth of Diversification Reconsidered

That investors should diversify their portfolios is a core principle of modern finance. Yet there are some periods in which diversification is undesirable. When the portfolio’s main growth engine performs well, investors prefer the opposite of diversification. An ideal complement to the growth engine would provide diversification when it performs poorly and unification when it performs well. Numerous studies have presented evidence of asymmetric correlations between assets. Unfortunately, this asymmetry is often of the undesirable variety: It is characterized by downside unification and upside diversification. In other words, diversification often disappears when it is most needed. In this article, the authors highlight a fundamental flaw in the way some prior studies have measured correlation asymmetry. Because they estimate downside correlations from subsamples in which both assets perform poorly, they ignore instances of successful diversification (i.e., periods in which one asset’s gains offset the other’s losses). The authors propose instead that investors measure what matters: the degree to which a given asset diversifies the main growth engine when it underperforms. This approach yields starkly different conclusions, particularly for asset pairs with low full-sample correlation. The authors review correlation mathematics, highlight the flaw in prior studies, motivate the correct approach, and present an empirical analysis of correlation asymmetry across major asset classes. TOPICS: Portfolio theory, portfolio construction, quantitative methods, statistical methods, performance measurement Key Findings ▪ There is strong empirical evidence that asset class correlations are asymmetric, which poses complications in portfolio construction. ▪ Investors prefer diversification when a portfolio’s main growth engine performs poorly and unification when it performs well. ▪ To measure correlation asymmetry caused by nonnormality, investors must adjust for changes in correlation that arise mathematically when part of a sample is excluded. ▪ Unlike prior research, investors should condition correlations on the performance of a single asset, not two assets.
Reconstruction of Hydrothermal Processes in the Cyprus Type Fe-Cu-Zn Deposits of the Italian Northern Apennines: Results of Combined Fluid Inclusion Microthermometry, SEM-CL Imaging and Trace Element Analyses by LA-ICP-MS

Quartz from the stockwork zone of various Cyprus type volcanogenic massive sulfide deposits (Boccassuolo, Reppia, Campegli, Bargone and Vigonzano) from the unmetamorphosed, Jurassic Northern Apennine ophiolites was studied in order to provide details on the submarine hydrothermal conditions and the characteristics for ore formation. Our detailed SEM-CL investigation of quartz contributed to a robust characterization and interpretation of primary fluid inclusions and microthermometry data. SEM-CL imaging was also useful for reconstructing the consecutive steps of quartz precipitation. The determination of trace element contents according to growth zoning in quartz by LA-ICP-MS constrained the compositional variations of parent fluids during the hydrothermal activity. A continuously cooling fluid regime characterized each studied volcanogenic massive sulfide (VMS) occurrence although the minimum formation temperatures were different (Bargone: 110–270 °C; Boccassuolo: 60–360 °C; Campegli: 110–225 °C; Reppia: 50–205 °C; Vigonzano: 260–330 °C), the range of temperature most probably depends on the original position of sampling in relation to the centers of the hydrothermal systems. Compositional changes are reflected by variations in the methane content (0.13–0.33 mol/kg) and salinity (2.6–9.3 NaCl equiv. wt. %) in the fluid inclusions of quartz and calcite as well as a changeable Al content (11–1526 ppm) in quartz. This study demonstrates that the combined use of SEM-CL imaging and LA-ICP-MS analyses, coupled with fluid inclusion microthermometry, can constrain the different fluid conditions of ore forming and the barren stages of evolving submarine hydrothermal systems.
THE DEVELOPMENT OF STEM (SCIENCE, TECHNOLOGY, ENGINEERING AND MATHEMATICS) BASED INQUIRY LEARNING PACKAGES TO TRAIN STUDENTS’ CRITICAL THINKING SKILL

This study aimed to develop STEM based inquiry learning packages on simple machines topics to train students’ critical thinking skill. The type of study is Research and Development (R&D) with 4D development model , which consists of defining, designing, developing and disseminating . Learning packages included syllabus, lesson plans, worksheets, handouts and tests of students’ critical thinking skill. The research subjects were 28 students of grade VIII in SMPN 1 Pamekasan who were obtained by purposive sampling technique. This research based on validity and practicy. Data were collected using validation sheets, teacher activity observation sheets and student activity observation sheets. The validity data was obtained based on the results of the mode assessment done by 3 validators by validation sheet. Descriptive data were analyzed quantitatively. The results of the 3 validators’ assessment obtained 4 for mode value which was very valid, and the average of reliabelity Cronbach’s Alpha was 0,848 in the reliable category. The result of implementation learning is 92% and student activity is 88% with very good category. This showed that the development of STEM based inquiry learning packages was categorized as valid and reliable for use based validity and practicy.
Effect of Earnings Management on Firm Value with Corporate Governance as a Moderating Variable

This study aims to provide a conceptual study of the effect of earnings management on firm value by including corporate governance. as a moderating variable. This paper is a conceptual paper that discusses issues related to earnings management on firm value and the role of corporate governance in minimizing earnings management practices so as to increase firm value. Previous theoretical studies have shown that earnings management is effectively controlled by the corporate governance system and performance. In addition, the results of previous studies found empirical evidence that there is a positive relationship between earnings management and firm value. From the theoretical discussion and previous research, it is concluded that earnings management practices have a positive effect on firm value as moderated by corporate governance.
The implications of viscoelasticity on coating rheology and structure

On montre que les sauces utilisees dans le couchage par lame sont des materiaux viscoelastiques et que le degre de viscoelasticite depend de la formulation. On etudie l'influence de cette viscoelasticite sur le processus de couchage et sur les proprietes du papier couche
APPLICATION OF A FUZZY SYSTEM TO THE ANALYSIS OF ENTREPRENEURIAL INTENTION IN COLOMBIA

The incidence of diverse factors on the intention to create enterprises (EI) motivates the calculation of a multidimensional indicator that groups the initial endowments of the individual and the characteristics of the environment. Thus, the research introduces a new way of measuring business intent based on the mathematical support of the theory of fuzzy sets; thus, employing a sample of MBA students in Colombia, a Multidimensional Index of Enterprise Intent (MIEI) was calculated for 14 cities, segmented by gender, age, and area of studies. The results of the document expose heterogeneity in Colombian cities in terms of EI, with greater development in spatial units with facilities to do business. Particularly, the results denote the presence of an EI cycle in the age range between 30 and 40 years and they confirm Bogotá, D.C., as the city with the highest EI in Colombia. Meanwhile, the findings confirm minor entrepreneurial development in students with vocation for agricultural science.
Antiplasmodial Activity of Ethanolic Leaf Extract of Cymbopogon citratus (DC) Stapf in Swiss Albino Mice Infected with Plasmodium berghei NK 65

The study assessed the antiplasmodial activity of the ethanolic leaf extract of Cymbopogon citratus on chloroquine sensitive Plasmodium berghei in mice. Standard methods were used to determine the bioactive components of the leaf extract, acute toxicity test and antiplasmodial activity. Mice obtained (of body weight 20-25 g) were housed and acclimatized for seven days at room temperature before the commencement of the experiment. A total of 16 albino mice were randomized into four groups of four mice each for acute toxicity while 35 were grouped into five groups of seven mice each for antiplasmodial activity. All the groups 1-5 were infected with P. berghei and were treated for six consecutive days with leaf extract dosage of 200, 400 and 800 mg/kg, standard antimalarial drug (chloroquine) as positive control and normal saline as negative control respectively. Phytochemical screening/ bioactive compounds of the leaf extract reveals the presence of saponins (10.3 mg/g), tannins (2.38 mg/g), flavonoids (1.87 mg/g), terpenoids (19.12 mg/g), steroids (6.21 mg/g) and glycosides (19.9 mg/g) as secondary metabolites. The leaf extract Original Research Article Dada and Adebayo; SAJRM, 8(3): 27-38, 2020; Article no.SAJRM. 64742 28 revealed decrease in body weight of the infected mice and did not show any toxicity at all dosage levels used. The antiplasmodial investigation revealed a decrease in percentage parasitaemia level in mice of extract treated groups compared with mice infected and not treated. The parasitaemia reduction was higher in 800 mg/kg than 200 mg/kg and 400 mg/kg. This significant decrease (P<0.05) in percentage parasitaemia level in the study was dose and time-dependent. The extract showed significant (p<0.05) antiplasmodial activity and could serve as possible candidates for the development of new effective drugs for the treatment of malaria.
Measuring COVID-19-Related Stress Among 4th Through 12th Grade Students

Abstract The COVID-19 pandemic and resulting stay-at-home orders created a need for assessing elementary, middle, and high school students’ experienced stressors associated with the coronavirus situation. In collaboration with a school district wanting information about their students’ well-being during the pandemic school shut-down, the current study investigated students’ reported types and levels of COVID-19 stressors. Data were collected from 2,738 students from fourth through 12th grade in a suburban Midwestern school district in the United States following school closure related to the COVID-19 pandemic. Data on stress associated with the COVID-19 pandemic were gathered from students via an online survey using Qualtrics. The students rated 20 items (e.g., not motivated to do schoolwork, not going to my school) on stress level. Stressor categories found included Social Isolation, Schoolwork Stress, Fear of COVID-19 Illness, and Missing Events. Middle and high school students reported higher schoolwork stress than did elementary students, and overall, females had higher reported stress on several stressors. The current study has implications for school psychologists including utilizing a tool to assess pandemic-related stressors, using prepandemic normative data in schools with caution, promoting education about COVID-19 to reduce fear, supporting teachers regarding addressing schoolwork stress experienced by students, and teaching students anxiety-reducing strategies such as mindfulness or coping strategies.
Medical Image Compression Based on SPIHT-BAT Algorithms

The main aim of this study is to decrease the amount of storage as much as possible and the decoded image seen on the monitor should be as close as possible to the original image. The main goal of this study is to design a fully hybrid system for medical image compression. For this purpose, a hybrid techniques were used to enhance the compression performance, decreasing the computational complexity level and raising the CR (Compression Ratio, the proposed system is adopted on these tools: to design a new fully hybrid image compression system to compress a medical image (Brain Tumour disease type). Furthermore, a new reliable algorithm was proposed in order to identify the ROI (Region of Interest) and NROI (Non-Region of Interest) before compression process. In addition, this algorithm has less computational complexity and efficient, also develop new algorithms to compress the ROI and NROI regions. The first region, ROI, is compressed by cascading of SPIHT and BAT algorithms. Meanwhile, the second region (NROI) is compressed by the 2D-DWT algorithm, finally to design a new coding system by mixed the RLE (Run-Length Encoding) and Huffman coding algorithms to improve the CR. The results indicate that the SPIHT-BAT algorithm has increase the compression ratio better than SPIHT. Furthermore, the result of ROI region better than the result of NROI region. While the result of coding when used (RLE- Huffman) algorithm better than the result when used (RLE) alone or Huffman algorithm. The different parameters of compression process indicate that the proposed system is better than that of Traditional systems that described in literature.
Challenges and design opportunities in prototyping seamless knitted apparel: a case study

ABSTRACT The aims of this study are to document the challenges occurring in design and prototyping apparel using seamless knitting technologies and determine a communication framework that would improve the interaction between the design, product development and production teams. This research adopted a key single case study method, collecting data from a domestic seamless knitting technician with extensive experience. The study identified critical skills a technician must have, along with challenges and design opportunities offered by Santoni® SM8-TOP2V knitting machines. An in-depth product development map was translated into a tech pack model, a key communication tool that aims to consistently track all the details involved in the design and prototyping decisions. The authors believe that examination of the design challenges that a seamless knitting technology can offer, along with the proposed tech pack model, would help inform and narrow the existing communication and skill gap between technical designers and knit technicians.