Miracle-dz/UniFAR-FTUs huggingface dataset:
Thermal error compensation in CNC machine tools using measurement technologies

The required machining accuracy can be realized by compensating the thermal error of the machine tool. The paper presents a method of constructing a system of compensation for the thermal error of the machine tool. The method is based on the part measurement system installed on the machine. A review of studies in the field of precision machining was conducted. The review showed that the methods of correction of machining errors caused by dynamic and static factors using OMM-technology (On Machine Measurement) is presented in the literature. At the same time, the methods of compensation of the thermal error of machine tool built on the use of OMM-technology are poorly represented. Therefore, the practical implementation of control algorithms of the working bodies of the machine allowing one to compensate for its thermal error using OMM-technology is in demand. The methodology contains seven main stages, methodologically covering four areas of research. In addition to the experimental, mathematical and measurement areas of research, they also distinguish the area of software development (preparation of NC programs for CNC machines). It is proved that the presented methodology allows one to develop own automated system of compensation of a thermal error for any machine tool. It is shown that the most important directions of the framework for the improvement of the effectiveness of such system are to ensure the completeness of the experimental base and the accuracy of the adjustment of the thermal error compensation algorithms of the machine tool.
Developing the Improving Post-event Analysis and Communication Together (IMPACT) Tool to Involve Patients and Families in Post- Event Analysis

The analysis of harmful errors is typically led by a team within the hospital and includes clinicians and staff who were involved at the time of the event. However, the patient and family are often left out of this process and are not asked to participate in the investigation. Because little guidance is available for facilitating patient input, an interprofessional team convened to develop a semi-structured tool to be used in eliciting patient feedback. Some 72 persons who had experienced adverse events were interviewed. Using a thematic analysis approach, the team learned that 51% of the interviewees preferred to participate in event analysis directly through an interview and 47% recommended that patients and families should be offered the opportunity to provide their views immediately (within 24-48 hours of the event). The resulting tool, IMPACT, incorporates a conversational flow of questions that allows patients to tell their story, focus their attention on specific causative factors, and give recommendations to improve healthcare in their institutions or to prevent further harm.
Employing case studies to develop professional skills in South African accountancy students: a comparative follow-up study

Some of the main challenges faced in accounting education are developing professional skills and encouraging deep learning in students. The literature offers numerous accounts of the case study method as a successful tool for developing professional skills and linking theory with practice. This paper reports on a follow-up study which aimed to contribute to the field in three ways: 1) in corroborating the findings of a prior study on case studies as a tool to develop professional skills, 2) by investigating whether changes in the way the case study was administered had an effect on students’ perceived development, and 3) by gaining some insight into the actual learning that took place by analyzing the assessment outcomes. The findings show that the changes in the way the assignment was administered had no significant effect on the perceptions of students, but that team selection and the provision of homework assistance should be carefully considered. The assessment results support students’ generally positive perceptions on their development of certain professional skills, although deep learning seems to remain a challenge. The paper highlights the importance of research in the field of teaching and learning in accounting education in order to better equip accounting students for the “real world”.
Benefits and Drivers of Implementing Green Building Projects in South Africa

Several negative environmental issues are attributed to the activities of the construction industry (CI) globally with South Africa as no exception. Hence, the introduction of sustainability concepts in other to address these challenges which continually threaten the health and existence of both the human and natural environment. Green building (GB) as a sustainable concept aims to address the social and economic concerns and not only the environmental issues in the built environment. The paper, therefore, evaluates the beneficial factors and ways of promoting the implementation of GB projects in South Africa. The study employs a structured questionnaire survey as an instrument for data collection. The study gathered data from construction professionals (architects, civil engineers, quantity surveyors, project managers, construction managers, and construction project managers) who are sustainability proponents. A quantitative approach to data analysis was utilised using percentage, standard deviation, and mean item score. From the data analysed, the results revealed improved indoor air quality, ecosystem protection, increased energy efficiency, enhanced health and well-being of occupants, and minimised CO2 emissions as the top five benefits of GB projects implementation. Availability of more financing options, improved market for green products/materials, education and training on GB technologies, provision of economic incentives, and affordability of GB materials are identified as the top drivers of GB projects implementation. The findings from this study will help create awareness and encourage the adoption and implementation of GB projects which in turn has the potential to combat the severe environmental challenges caused by the activities of the CI.
Shear-Thinning Fluid Flow in Variable-Aperture Channels

Non-Newtonian fluid flow in a single fracture is a 3-D nonlinear phenomenon that is often averaged across the fracture aperture and described as 2-D. To capture the key interactions between fluid rheology and spatial heterogeneity, we adopt a simplified geometric model to describe the aperture variability, consisting of adjacent one-dimensional channels with constant aperture, each drawn from an assigned aperture distribution. The flow rate is then derived under the lubrication approximation for the two limiting cases of an external pressure gradient that is parallel/perpendicular to the channels; these two arrangements provide upper and lower bounds to the fracture conductance. The fluid rheology is described by the Prandtl–Eyring shear-thinning model. Novel closed-form results for the flow rate and hydraulic aperture are derived and discussed; different combinations of the parameters that describe the fluid rheology and the variability of the aperture field are considered. The flow rate values are very sensitive to the applied pressure gradient and to the shape of the distribution; in particular, more skewed distribution entails larger values of a dimensionless flow rate. Results for practical applications are compared with those valid for a power-law fluid and show the effects on the fracture flow rate of a shear stress plateau.
Determinants of the Dynamic Correlation Patterns Between Stock Prices and Exchange Rates

Doviz kuru ve hisse senedi piyasalari tacirlerin ve yatirimcilarin yogun islem yaptigi, iki onemli piyasadir. Ilki hacim olarak en buyuk piyasadir. Bu iki piyasa arasinda iliski olup olmadigi varsa nasil bir iliski oldugu yatirimcilarin, firmalarin ve finansal kurumlarin karar alicilarinin ilgilendigi bir konudur. Bu konu arastirmacilarin da ilgisini ceken bir sorunsaldir. Literaturde bu iliskinin teorik altyapisi genel olarak doviz kuru belirleme modellerinden, hisse senedinin aciklayici degisken olarak ele alindigi, akis odakli geleneksel ve stok odakli portfoy dengesi modelleridir. Cogu ampirik calismada bu modellerin ongoruleri degerlendirilmistir. Bu calismada ER ve SPI degiskenleri arasindaki iliskiye, VAR modeli ile dinamik nedensellik acisindan, esbutunlesim teknigi ile uzun donemli denge iliskisi acisindan bakilmis ve sonuclarin geleneksel ve stok odakli modellerin ongorulerini destekleyip desteklemedigi analiz edilmistir. Sonuc olarak iki degisken arasinda uzun donemli iliski bulunmamistir. Kriz oncesi donemde Granger nedenselligi bulgusuna rastlanmamistir. Kriz oncesi donem Brezilya ve Guney Afrika serilerinde ve kriz sonrasi donem Turkiye ve Guney Kore serilerinde hisse senedi fiyatlarinin doviz kurunun Granger nedeni oldugu sonucuna varilmistir. Bu bulgu portfoy dengesi modellerinin ongorusuyle uyumludur. Kriz sonrasi donem Cin, Hindistan ve Rusya serileri nde ise doviz kurunun hisse senedi fiyatlarinin Granger nedeni oldugu sonucuna varilmis ve bu sonucta akis odakli geleneksel modelleri desteklemistir. Varyans ayristirmasi analizi ve kolerasyon degerleri, iki degisken arasindaki iliskinin kriz doneminde arttigini gostermektedir. Bu sonuc literaturdeki kriz donemi ile ilgili calismalarin sonuclariyla ortusmektedir.
Red de Administradores Compartidos y su Relación con el Desempeño Financiero en Empresas del Ecuador: ¿Cuál es el efecto de compartir Capital Humano?

Information has always been a potential source of comparative advantage between companies, so knowing it in its entirety has become a necessity for decision makers. Today, there are tools such as Social Network Analysis, which may have a greater scope to know the impact of relationships between individuals. In this project, the effect of financial performance on sharing human capital and being a prominent company in the market is quantified. Likewise, communities in the industry were identified, using modularity as a measure of grouping between companies. With a sample of 9,070 signatures from Ecuador in 2018, indicators were proposed based on the history of administrators and the centrality measures of the graph theory. Income was chosen as the indicator that best represents financial performance. The results found showed that there is a considerable positive effect on financial performance when a company is prominent in the market. On the other hand, it is determined that there is a negative effect on financial performance by sharing human capital, when hiring a worker who works or worked in a company in the same sector, as well as in other sectors of the industry. Finally, it was found that the indicators that quantify connections with companies represent a valuable source of information for firms.
The pharmacogenetic road to avoid adverse drug reactions and therapeutic failures in revolving door patients with psychiatric illnesses: focus on the CYP2D6 isoenzymes

ABSTRACT Introduction: A periodical hospital readmission caused by therapeutic failures (TFs) and a worsening of clinical symptoms most often linked to adverse drug reactions (ADRs) are probably the major causes for the so-called revolving door condition in psychiatric illnesses. This review underlined the importance that pharmacogenetic data on cytochrome P450 (CYP), particularly CYP2D6 polymorphisms, may offer for the finger printing of the pharmacological treatment of psychiatric illnesses, given the relevance of this enzyme in metabolizing psychotropic drugs. Areas covered: We searched in the medical literature until July 2016 to review the role of functional variants in the CYP2D6 gene on observed ADRs and TFs in revolving door psychiatric patients. Expert commentary: CYP2D6 gene variants could in part explain the revolving door condition in patients attending a psychiatric setting. The preemptive known CYP genotypes associated to a reduced metabolizer status may help clinical decision-making to avoid concomitant treatments, increasing drug safety, so reducing therapeutic attempts, hospital admission, and the overall costs for the national health services. However, CYP2D6 gene is only a part of a complex mechanism in which genetic and non-genetic factors may take part. A possible role of the intrinsic variability of pharmacodynamics and imponderable environmental factors influencing the revolving door condition cannot be excluded.
Effect of Phosphorous Fertilizer and Bacterial Applications on Seed Yield of Morphologically Different Forage Pea (Pisum sativum L.) Varieties

As a result of today's modern agricultural practices, many negative consequences have been encountered due to the use of intense, inaccurate and excessive chemical fertilizers and pesticides. In particular, chemical fertilizers have reached fresh water sources as a result of washing, causing environmental pollution and this has become a threat to human, domestic and wildlife. Therefore, one of the alternatives created by experts in terms of prevention of environmental pollution and agricultural sustainability has been the use of useful bacteria instead of chemical input. In this study, carried out in Erzurum, was aimed to determine the effects of different phosphorous rates (0, 30 and 60 kg/ha P 2 O 5 ) and bacteria genotypes (control, nitrogen fixing and phosphate solvent ) on agricultural and morphological characteristics of some fodder pea cultivars. The experiment was established in Randomized Split Blocks Trial Design with three replications. In the study, were used Kirazli (semi-leafless) and Urunlu (leafed) pea cultivars, Rhizobium leguminasorum and Arthrobacter agilis bacteria and triple superphosphate 0-45-0 fertilizer. According to the results, number of pods per plant 6.5-7.7, number of seeds per pod 5.6-6.2, 1000 seed weight 187.5-198.9 g, seed yield 1087-1663 kg/ha, seed crude protein content 30.6-31.6 % were investigated. As a result; no response was observed for phosphate fertilization since the soils of experiment plots were rich of this nutrient. Yet, Rhizobium inoculation yielded positive and significant results.
A real-time FPGA accelerated stream processing for hyperspectral image classification

Abstract Realizing real-time classification of hyperspectral imagery has attracted researchers across various scientific and engineering disciplines. Several time-critical applications of high-resolution hyperspectral imaging require analysis of hyperspectral imagery with minimal turnaround time. In this regard, field-programmable gate arrays (FPGAs) provide cost-effective performance over the other high-performance reconfigurable computing systems. Developing such efficient systems poses several technical challenges such as designing and validating the FPGA architecture. A rapid prototyping approach offers several benefits in designing and developing FPGA architectures. This paper proposes a rapid prototyping method for the design and implementation of a multi-class support vector machine (MSVM) algorithm for real-time hyperspectral imagery classification using a low-cost FPGA system. We have evaluated design performance in terms of overall accuracy, resource utilization as well as timing requirements using four different datasets containing airborne, drone, and ground-based hyperspectral imagery. Experimental results show that the proposed FPGA design performs classification under strict real-time constraints.
Technique of Image Compression: A Review

An image compression technique eliminates unrelated information or/and redundant, and resource for encode leftover. Almost, it is repeatedly essential to tossing a way both relevant information and not redundant information to attain the compression that essential. By the way, the ploy is discovered approaches that permit significant info to be resourcefully extracting and representing. As we look to the future, the need to transmit images and store will only continue to increase faster than the available capability to process all the data. Multimedia data whether audio, graphics and video data which is uncompressing requires considerable transmission bandwidth and storage capacity. So, this leads to the need techniques of compression of images and all applications of multimedia to save time of transmission and storage. The purpose of this paper is to show different techniques that used for compressing images in two sides lossy compression and lossless compression. Also, we have shown in this research paper the motivation behind using these techniques and the benefits of compression techniques.
A Review on Opuntia Species and its Chemistry, Pharmacognosy, Pharmacology and Bioapplications

Opuntia species, locally known as prickly pear was used for various purposes as food, medicine, beverage, source of dye and animal food. Many studies have revealed its pharmacology activity from time to time. This review is a collection of chemistry, pharmacognosy, pharmacology and bioapplications of the cactus family. Many sources were used to collect information about Opuntia species such as Pub med, Google scholar, Agris, science direct, Embase, Merk index, Wiley online library, books and other reliable sources. This review contains studies from 1812 to 2019. The plants from the cactus family offer various pharmacological active compounds including phenolic compounds, carotenoids, betalains, vitamins, steroids, sugar, amino acids, minerals and fibers. These bioactive compounds serve various pharmacological activities such as anticancer, antiviral, anti-diabetic, Neuroprotective, anti-inflammatory, antioxidant, Hepatoprotective, antibacterial, antiulcer and alcohol hangover. According to various studies, Opuntia species offer many bioapplications such as fodder for animal, soil erosion, prevention, human consumption and waste water decontamination. Finally, different parts of plants are used in various formulations that offer many biotechnology applications. Different parts of Opuntia plant (fruits, seeds, flowers and cladodes) are used in various health problems which include wound healing, anti-inflammatory and urinary tract infection from ancient times. Nowadays, researches have extended several pharmacological and therapeutic uses of Opuntia species as discussed in this review. Many in-vitro and in-vivo models are also discussed in this review as the proofs of research findings. Various research gaps have been observed in current studies that require attention in the future.
A Data-Driven Optimization Approach for the Optimization of Shale Gas Supply Chains under Uncertainty

This paper aims to leverage the big data in shale gas industry for better decision making in optimal design and operations of shale gas supply chains under uncertainty. We propose a two-stage distributionally robust optimization model, where uncertainties associated with both the upstream shale well estimated ultimate recovery and downstream market demand are simultaneously considered. In this model, decisions are classified into first-stage design decisions as well as second-stage operational decisions. A data-driven approach is applied to construct the ambiguity set based on principal component analysis and first-order deviation functions. By taking advantage of affine decision rules, a tractable mixed-integer linear programming formulation can be obtained. The applicability of the proposed modeling framework is demonstrated through a case study of Marcellus shale gas supply chain. Comparisons with deterministic optimization models are investigated as well.
Single cell analysis of the effects of developmental lead (Pb) exposure on the hippocampus

Background Lead (Pb) exposure is ubiquitous and has permanent developmental effects on childhood intelligence and behavior and adulthood risk of dementia. The hippocampus is a key brain region involved in learning and memory, and its cellular composition is highly heterogeneous. Pb acts on the hippocampus by altering gene expression, but the cell type-specific responses are unknown. Objective Examine the effects of perinatal Pb treatment on adult hippocampus gene expression, at the level of individual cells, in mice. Methods In mice perinatally exposed to control water (n=4) or a human physiologically-relevant level (32 ppm in maternal drinking water) of Pb (n=4), two weeks prior to mating through weaning, we tested for gene expression and cellular differences in the hippocampus at 5-months of age. Analysis was performed using single cell RNA-sequencing of 5,258 cells from the hippocampus by 10x Genomics Chromium to 1) test for gene expression differences averaged across all cells by treatment; 2) compare cell cluster composition by treatment; and 3) test for gene expression and pathway differences within cell clusters by treatment. Results Gene expression patterns revealed 12 cell clusters in the hippocampus, mapping to major expected cell types (e.g. microglia, astrocytes, neurons, oligodendrocytes). Perinatal Pb treatment was associated with 12.4% more oligodendrocytes (P=4.4×10−21) in adult mice. Across all cells, differential gene expression analysis by Pb treatment revealed cluster marker genes. Within cell clusters, differential gene expression with Pb treatment (q<0.05) was observed in endothelial, microglial, pericyte, and astrocyte cells. Pathways up-regulated with Pb treatment were protein folding in microglia (P=3.4×10−9) and stress response in oligodendrocytes (P=3.2×10−5). Conclusion Bulk tissue analysis may be confounded by changes in cell type composition and may obscure effects within vulnerable cell types. This study serves as a biological reference for future single cell studies of toxicant or neuronal complications, to ultimately characterize the molecular basis by which Pb influences cognition and behavior.
In-vitro-Scientific evaluation of anti-inflammatory potential of leaf extracts from Vitex negundo: as a promising future drug candidate

Introduction: Vitex negundo (Linn.) is commonly used in folk medicines and widely distributed in India, especially in moist places. However, all parts of V. negundo are used to treat different pathophysiology, but leaves are strongly effective for medicinal uses. The aim of this study is to compare the anti-inflammatory potential of the methanolic extract and essential oil of V. negundo leaves. A comparative study of the bioactive compounds that were obtained from the methanolic extract and essential oil of V. negundo leaves was accomplished. Materials and Methods: First, the methanolic extract and essential oil were evaluated for their anti-inflammatory activities employing the RAW 264.7 cells. Subsequently, the identification and quantification of the β-sitosterol of methanolic extract and essential oil of leaves were evaluated using high-performance liquid chromatography (HPLC). The quantitative evaluations of polyphenolics were executed using HPLC. Results: The dose-dependent anti-inflammatory activities of the methanolic extract and essential oil were validated. Moreover, it was observed that the 50 μg/ml dose was found to be significant (P < 0.001) against the pro-inflammatory cytokines such as interleukin-1β (IL-1β) and IL-6. In case of anti-inflammatory cytokine such as IL-10, the 50 μg/ml dose was found to produce significant effects where the statistical significance was P < 0.001 and P < 0.01 for the methanolic extract and essential oil, respectively. Adequate amounts of β-sitosterol and polyphenols were found out in the methanolic extract and essential oil of leaves of V. negundo. Conclusion: The research findings suggest the significant anti-inflammatory properties of the methanolic extract and essential oil, but the methanolic extract showed a stronger effect. Furthermore, the essential oil of V. negundo could be used for the development of an ideal pharmaceutical formulation for effective delivery to people. Here, results justify its traditional use, which develops a future substantial value of this plant into the scientific discipline.