Miracle-dz/UniFAR-FTUs huggingface dataset:
Delta of Egypt Acute Coronary Syndrome Registry

Background: Acute coronary syndrome (ACS) is a main reason of morbidity and mortality in patients with coronary heart disease (CHD) in developed nations. It’s one of three coronary artery diseases (CAS): ST-segment elevation myocardial infarction (STEMI), or unstable angina (UA), non-ST-segment elevation myocardial infarction (NSTEMI). The production of sensitive indicators of myocardial necrosis (for example, troponins) is considered a suggestive indication of myocardial cell necrosis and so meets the criteria of myocardial infarction. The goal of the registry is to assess patient features, practice pattern and outcome of ACS in this region using a registry design. Methods: This prospective and observational registry was carried out on 1000 Patients with ACS (whatever its type) in the period of six months in cardiac centres in the region of middle delta of Egypt. The survey took place in (Tanta, Mahalla, Mansoura, Shebin-Elkom, Damanhor, Kafr-Elsheikh, Banha and Cairo). Results: There was an insignificant difference in the primary etiology of ACS between both sexes. Women got less ACE inhibitors, mineralocorticoid receptor antagonists, beta-blockers, antiplatelets, statins, and nitrates, but received more digoxin, amiodarone, anticoagulants, and calcium channel blockers. There was an insignificant association in in-hospital and 1 year mortality between female and male, respectively. Conclusions: Smoking and hypertension are significant risk factors among patients raising an alarming sign for primary and secondary inhibition for CAD. The delay in seeking medical help is related to unawareness of the public on what to do raising important questions about EMS role and public health education.
Materialfeuchtemessung mittels Time-Domain Reflectometry

Die Time-Domain-Reflectometry (TDR)-Technik für die Bestimmung des Wassergehaltes in kapillar porösen Medien wird vorgestellt und physikalische Grundlagen sowie Meßprinzip erläutert. Verschiedene TDR-Verfahren werden besprochen, der apparative Aufbau und die verschiedenen Sensortypen einer neu entwickelten TDR-Technik (TRIME) beschrieben. Weiterhin werden Beispiele von Wassergehaltsmessungen in verschiedenen Materialien wie z.B. Böden und Getreide aufgezeigt und auf die Kalibrierung sowie die Einflüße von Dichte und Temperatur detailliert eingegangen.
Hot spots and trend analysis of traceability research in China under the new generation information technology environment

The new generation of information technology is gradually being applied to various fields. Information technology represented by the Internet of Things and blockchain is applied to traceability, which solves the problems of original traceability information distortion, high collection cost, and multi-link information interoperability, and injects new vitality into traceability research. This paper sorted out 1184 selected documents on the traceability topic in the new generation of information technology environment from 2010 to 2019. In order to interpret the connotation of the theme, calculate the information gain of 1609 keywords to 17 categories of themes, and select the top five keywords of each theme's information gain to analyze the theme connotation. The 17 topics are mainly divided into initial exploration topics, current hot topics, future trend topics, and stable topics through literature time series analysis. The research results are as follows: from the subject point of view, the research on "Traceability + Radio Frequency Identification" has been relatively mature; "Traceability + Blockchain", "Traceability + Internet of Things" and others are current research hotspots. Eight categories of themes such as "traceability + QR code", "source traceability + big data", "quality and safety" are in the initial exploration period, their subsequent evolutions are determined on social needs and the development of technology.
“FALHAS DE IA” E A INTERVENÇÃO HUMANA EM DECISÕES AUTOMATIZADAS: PARÂMETROS PARA A LEGITIMAÇÃO PELA HUMANIZAÇÃO

Em um contexto em que diferentes países vêm reconhecendo um direito à intervenção humana face a decisões automatizadas, o artigo tem por objetivo investigar os elementos que podem atrair a necessidade de introdução de parâmetros humanos em processos de decisão impulsionados por sistemas de Inteligência Artificial. Assim, com base no método hipotético-dedutivo e a partir de pesquisa bibliográfica e documental, o artigo explora diferentes categorias de problemas que podem advir de decisões tomadas por sistemas de IA, concluindo que, em determinados casos, a necessidade de intervenção humana pode ser identificada não apenas com base em critérios de eficiência, mas também pode se constituir em um componente ético em si mesmo. Por outro lado, argumenta-se que determinados parâmetros de sistemas de IA, tais como o seu nível de transparência e auditabilidade, a explicabilidade das decisões, o seu baixo impacto potencial a direitos e garantias fundamentais e o grau de participação do próprio usuário do sistema na sua configuração e utilização, poderiam mitigar os riscos associados ao "déficit de humanidade" e assim proporcionar que a intervenção humana seja modulada em diferentes níveis de intensidade, mantendo-se o atendimento aos requisitos éticos de decisões legítimas, confiáveis, justas e cognoscíveis, por seres humanos, em seus principais elementos.
Ultimate Grounding of Abstract Concepts: A Graded Account

Abstraction, one of the hallmarks of human cognition, continues to be the topic of a strong debate. The primary disagreement concerns whether or not abstract concepts can be accounted for within the scope of embodied cognition. In this paper, we introduce the embodied approach to conceptual knowledge and distinguish between embodiment and grounding, where grounding is the general term for how concepts initially acquire their meaning. Referring to numerous pieces of empirical evidence, we emphasise that, ultimately, all concepts are acquired via interaction with the world via two main pathways: embodiment and social interaction. The first pathway is direct and primarily involves action/perception, interoception and emotions. The second pathway is indirect, being mediated by language in particular. Evidence from neuroscience, psychology and cognitive linguistics shows these pathways have different properties, roles in cognition and temporal profiles. Human development also places revealing constraints on how children develop the ability to reason more abstractly as they grow up. We recognize language as a crucial cognitive faculty with several roles enabling the acquisition of abstract concepts indirectly. Three detailed case studies on body-specificity hypothesis, abstract verbs and mathematics are used to argue that a compelling case has accumulated in favour of the ultimate grounding of abstract concepts in an agent’s interaction with its world, primarily relying on the direct pathway. We consolidate the debate through multidisciplinary evidence for the idea that abstractness is a graded, rather than a binary property of concepts.
Breathing-Focused Yoga Intervention on Respiratory Decline in Chronically Pesticide-Exposed Farmers: A Randomized Controlled Trial

Background Occupational exposure to pesticides has been associated with lung and cognitive function exacerbations. In the present study, we tested the effectiveness of breathing focused yoga intervention on alleviation of adverse respiratory and cognitive effects associated with chronic pesticide exposure in farmers. Methods We undertook a parallel, two-armed randomized controlled trial with blinded outcome assessors on a chronically pesticide-exposed farming population. The study was conducted at district Panipat, State Haryana located in the Northern part of India from November 2019 to August 2020. A total of 634 farmers were screened, and 140 farmers were randomized to breathing-focused yoga intervention (BFY, n = 70) and waitlist control arms (n = 65). BFY was delivered weekly in 45-min group sessions over 12 weeks followed by home-based practice. The primary outcome was the change in spirometry-based markers of pulmonary function from baseline expressed as raw values, Global Lung Initiative (GLI) percent predicted (pp), and GLI z-scores after 24 weeks of intervention. Secondary variables were Trail making tests (TMT A and B), Digit symbol substitution (DSST), and WHO Quality of life-BREF (WHOQOL-Bref). Analysis was by intention-to-treat. Mediation analysis was done considering oxidative stress markers as potential mediators. Results At the end of 6 months of intervention, the overall follow-up in the participants was 87.85% (n = 123); 90% (n = 63) in the control group, and 85.71% in the yoga group (n = 60). The mean age of the study cohort (n = 140) was 38.75 (SD = 7.50) years. Compared with the control group, at 24 weeks post-intervention, the BFY group had significantly improved status of the raw sand z scores markers of airway obstruction, after adjusting for confounders, FEV1, FVC, FEF25-75 [z score-adjusted mean differences (95% CI); 1.66 (1.10–2.21) 1.88 (1.21–2.55), and 6.85 (5.12–8.57), respectively. A fraction of FEF25-75 change (mediation percentage 23.95%) was explained by glutathione augmentation. There were also significant improvements in cognitive scores of DSST, TMT-A and TMT-B, and WHOQOL-Bref. Conclusion In conclusion, regular practice of BFY could improve the exacerbations in the markers of airway obstruction in chronically pesticide-exposed farmers and cognitive variables. A significant mediating effect of glutathione augmentation was also observed concerning the effect of the intervention on FEF25-75. These findings provide an important piece of beneficial evidence of the breathing-based yoga intervention that needs validation across different farming ethnicities. Clinical Trial Registration:www.ClinicalTrials. gov, identifier: CTRI/2019/11/021989.
Calreticulin Regulates β1-Integrin mRNA Stability in PC-3 Prostate Cancer Cells

Prostate cancer (PCa) is the major cause of cancer-related death among aging men worldwide. Recent studies have suggested that calreticulin (CRT), a multifunctional chaperon protein, may play an important role in the regulation of PCa tumorigenesis and progression. However, the underlying mechanisms are still unclear. Integrin is an important regulator of cancer metastasis. Our previous study demonstrated that in J82 bladder cancer cells, CRT affects integrin activity through FUBP-1-FUT-1-dependent fucosylation, rather than directly affecting the expression of β1-integrin itself. However, whether this regulatory mechanism is conserved among different cell types remains to be determined. Herein, we attempted to determine the effects of CRT on β1-integrin in human prostate cancer PC-3 cells. CRT expression was suppressed in PC-3 cells through siRNA treatment, and then the expression levels of FUT-1 and β1-integrin were monitored through RT-PCR. We found that knockdown of CRT expression in PC-3 cells significantly affected the expression of β1-integrin itself. In addition, the lower expression level of β1-integrin was due to affecting the mRNA stability. In contrast, FUT-1 expression level was not affected by knockdown of CRT. These results strongly suggested that CRT regulates cellular behavior differently in different cell types. We further confirmed that CRT directly binds to the 3′UTR of β1-integrin mRNA by EMSA and therefore affects its stability. The suppression of CRT expression also affects PC-3 cell adhesion to type I collagen substrate. In addition, the levels of total and activated β1-integrin expressed on cell surface were both significantly suppressed by CRT knockdown. Furthermore, the intracellular distribution of β1-integrin was also affected by lowering the expression of CRT. This change in distribution is not lysosomal nor proteosomal pathway-dependent. The treatment of fucosydase significantly affected the activation of surface β1-integrin, which is conserved among different cell types. These results suggested that CRT affects the expression of β1-integrin through distinct regulatory mechanisms.
Novel Method of Developing Nanosilica Coated Alumina Micro Abrasives Using Silicon Nanoparticles Generated from Spark Erosion as the Source

Silica coated alumina abrasives, used for abrading the surface of Yttria stabilized tetragonal zirconia polycrystal ceramics, were produced in order to achieve successful bonding with resin luting cement. The source of the silica coating was from Silicon Nanoparticles (SiNPs) that were produced from spark erosion in high pressure flushing of deionized water. SEM images verified average size distribution of the SiNPs to be between 30-50nm. In contrast to the tribochemical methods that are used widely to produce such abrasives, a completely novel dry physical process was opted for this experiment. By optimization of the conditions, 2g of purified SiNPs was mixed with 20g of alumina μ-particles (approximated diameter of 100μm), in presence of 25ml ethanol, mixed thoroughly to form slurry. Heated up to 120°C for 20 minutes to evaporate the ethanol, the resultant powder mix was compacted and uploaded in furnace at temperature of 1100°C for 2hrs. This formed an oxide layer on the SiNPs which consequently formed bonding with the alumina particles. SEM/EDS results validate substantial amount of coating of silica on alumina. The paper hereby demonstrates a novel method of producing silica coated alumina abrasives, which is a dry and cleaner substitution method compared to tribochemical approach.
The Development Path and Data Mining Mode of Rural Tourism under the Background of Big Data

With the advent of the era of mass tourism, rural tourism has received increasing attention from tourism-related personnel, such as the wide application of Internet, cloud computing, and big data technology, making it possible to build a development path for rural tourism based on the background of big data. The purpose of this paper is to study the development path and data mining mode analysis of rural tourism under the background of data and propose a clustering integration algorithm. The article gives an overview of the fit relationship between rural tourism and big data. This paper takes the farm tourism data in area A as the research object and through the data analysis of the rural tourism development path using the clustering integration algorithm; it explores the effectiveness of the clustering integration algorithm in the construction of the rural tourism development path. The experimental results show that compared with the traditional rural tourism development model in 2020, the tourism revenue in 2021 will increase by more than 300,000 yuan.
Coordinated operation of parallel-connected inverters for active islanding detection using high frequency signal injection

The high frequency impedance measured at the terminals of inverters connected in a microgrid by means of the injection of a small magnitude, high frequency voltage, has been shown to be a reliable metric to detect islanding. While the implementation of this method is simple when only an inverter injects the high frequency signal, this case is of limited applicability. On the other hand, several concerns arise when multiple inverters work in parallel, primarily due to risk interference among inverters. Islanding detection using high frequency signal injection in microgrids with multiple parallel-connected inverters is studied in this paper. A strategy for the coordinated operation of the inverters, without the need of communications or pre-established roles is proposed. Simulation and experimental results will be provided to demonstrate the viability of the concept.
Innovation, trade barriers and exports: evidence from manufacturing firms in ASEAN countries

Purpose This study aims to integrate both internal and external factors to examine the effect of innovation and perceived trade barriers on firms’ export activity. In particular, the authors expand the scope of innovation into both technological (product and process) and non-technological (marketing and management) innovation. Furthermore, the authors examine the potential joint effect of perceived customs and trade barriers on firms. Design/methodology/approach The authors empirically test the hypotheses by using firm-level data from the World Bank Enterprise Survey during the most recent year available for each ASEAN country, together with both firm- and country-level controls from various data sources. Specifically, the final sample for analysis includes 3,602 firms from Cambodia (100), Indonesia (1157), Laos (99), Malaysia (445), the Philippines (719), Thailand (572) and Vietnam (510). Findings First, the results show that firm-specific innovation capabilities (including non-technological of managerial innovation) do matter for explaining export propensity. Furthermore, in contexts in which location-bound advantages are prevalent, the effects of innovation may disappear and further deteriorate performance in the post-entry stage. Second, the findings support the notion regarding the prevalence of country- over firm-specific advantages for the international expansion of companies from ASEAN countries. More specifically, this study holds that innovation does not matter for export intensity and that factors related to the location’s institutions appear to be more important. Originality/value First, it acknowledges and examines the effect of not only technological innovation, but also non-technological innovation on export intention. Second, the paper measures the institutional effect at the firm level, rather than as a country-specific factor, to better understand the combined effect of internal and external variables on firms’ export strategy. Furthermore, it performs a cross-country analysis while controlling for other confounding firm and macro factors. Third, the authors test the model on both pre-entry (export propensity) and post-entry (export intensity) stages. Finally, the study responds to calls for research that examines the international competitive advantages of firms from ASEAN countries.
Design of wide-band magic T combined with CPW / slotline

The feasibility of a wide-band planar magic-T was presented. Its bandwidth was improved by employing the coupling CPW-slotline configuration and multi-stubs configuration of the CPW-slotline transition. By choosing proper circuit structure and using microwave analysis software, the circuit structure of planar magic-T was realized based on a microstrip-slotline substrate. The magic-T was optimized using the finite element method. The experimental results show that the bandwidth of the magic-T exceeds one double frequency and the performances for matching, coupling and isolating are satisfied. This kind of magic-T has many advantages such as simple structure, good concealing and low cost. Meanwhile as a transmission line structure, the slotline has the unique advantage and application value.
A parametric analysis of simple passive strategies for improving thermal performance of school classrooms in Chile

ABSTRACT Children spend most of their lives in school classrooms, so the quality of the indoor environment is very significant for their academic performance and general well-being. This article presents the results of a research project that looked at thermal performance and passive design strategies in school classrooms located in three different climates of Chile. It is organized into two parts: firstly, it presents an assessment of the thermal conditions inside primary school classrooms based on measurements that were taken in both winter and summer. These showed that children are generally exposed to very low temperatures in winter, as most classrooms are neither heated nor cooled by active means. Secondly, it provides a parametric analysis of a basic school classroom typology at the same locations. This involved determining the impact of a large number of combinations of simple passive strategies on overall energy performance and identifying the best case for each location.
AC 2011-363: A SURVEY OF ESSENTIAL SKILLS FOR PH.D. ENGI- NEERS IN INDUSTRY

The broad objective of this study is to contribute to the understanding of the skills needed by engineering Ph.D.s in industry and how well doctoral degree programs prepare graduates in these areas. A survey was administered to Ph.D.s in industry to understand the level of each skill needed in their organization, and the amount of preparation they received as doctoral students. Results indicate that learning and working independently, working in teams, written and oral communication, and solving problems are the most important skills for a Ph.D. engineer in industry. Also found, was that the essential skills for industry and the level of doctoral preparation are in general, well aligned. However, the survey results indicate that there are a few skills for which the needed level of ability is not correlated with the level of preparation that the graduates received. Results suggest that one of the most significant areas for improvements in preparing doctoral students is related to teamwork. These findings and others are discussed in this paper.
A Kernel-Based Method for Volterra Delay Integro-Differential Equations

Volterra integro-diﬀerential equations with constant delay τ > 0 are presented in this paper. We used a numerical method based on reproducing kernels to investigate well-known equations. The convergence analysis of the utilized approach is taken into account, which also provides the theoretical structure of the method. In addition, we derive some eﬀective error estimates for the proposed method when applied to Volterra delay integro diﬀerential equations. Numerical experiments are carried out to illustrate the eﬃciency and applicability of the proposed method.
Dissipation-Based Nonlinear Solver for Fully Implicit Compositional Simulation

In reservoir simulation of complex recovery processes, solving nonlinear equation system arising from the fully implicit method (FIM) poses a significant challenge. The Courant-Friedrichs-Lewy (CFL) conditions can span orders of magnitude in heterogeneous reservoir models because of large variations of permeability and porosity. The standard Newton method often fails to converge for large timestep sizes. We extend a new dissipation-based continuation (DBC) method to multiphase and compositional problems. The objective is to avoid timestep cuts and maintain efficient timestepping in FIM simulations. The method constructs a homotopy of the discrete governing equations by adding numerical dissipation. A continuation parameter is introduced to control the dissipation level and ensure that the accuracy of the converged solution is not degraded. Within the DBC framework, we develop general dissipation operators for multiphase and compositional flow models. Adaptive strategies are also proposed to determine the optimum dissipation matrix for hyperbolic systems. We evaluate the efficiency of the new nonlinear solver using several challenging cases. Results show that the standard damped Newton solver is afflicted by severe timestep restrictions and wasted computations. By comparison, the DBC solver enables superior nonlinear convergence. The dissipation operators can effectively overcome major convergence difficulties of coupled flow and transport problems.