Miracle-dz/UniFAR-FTUs huggingface dataset:
Declarative Software Testing

- To produce high quality software, both software developers and testing experts need continuous improvement and change in their work strategies and courses of action. Along these lines, far much work has been carried out in the successful methods for archiving the necessities. However essential viewpoint is to verify that whatever is documented in specifications really works accurately in the created software. Software testing is carried out to guarantee this aspect. Point of this paper is to concise a software product testing methodology utilizing the idea of Components that aides in distinguishing proof and choice of suitable test methods that could be utilized as data to acceptance testing and as starting steps to begin the genuine testing procedure of the system. This model concentrates on arranging the system test by nearly indicating them with system's requirements, prerequisites, and important functional use cases. By this it implies, that the primary emphasis of this model is on the importance of the functionality of the complete system composing of the critical use cases, requirements traceability matrix, test case prioritization and application acceptance criteria. An organized approach to outline test cases is made with the assistance of important use cases. Some work is done to trace the user’s needs to system requirements and use cases and benefits of using use case modelling approach in structuring the relationships among test cases is analysed. As tests cases are unpredictable and are quite liable to changes in future, challenges imposed due to traceability among requirements, use cases and test cases are main subjects of this work along with the challenges faced by software testers to perform application acceptance testing. A green path plan is proposed to help testing experts characterize application's acceptance criteria and weight assignment approach is used to prioritize the test cases to determine the successful running of the application.
The perceptions of Midwives, Obstetricians, and recently delivered Mothers to remote monitoring for prenatal care

Background: There have been few studies on remote monitoring (RM) in midwifery. These studies were mostly performed several decades ago, and no recent studies have investigated the perceptions to or experiences of new technologies. The Pregnancy Remote Monitoring (PREMOM) study, which started in January 2015 in Ziekenhuis Oost-Limburg (Genk, Belgium), enrolled pregnant women at increased risk of developing gestational hypertensive disorders (GHD). Women enrolled in PREMOM underwent conventional prenatal follow-up, which was complemented with RM. Objective: We sought to investigate the perceptions and experiences of mothers, midwives, and obstetricians to the RM approach used in ABSTRACT Background The Pregnancy Remote Monitoring (PREMOM) study enrolled pregnant women at increased risk of developing hypertensive disorders of pregnancy (HDP) and investigated the effect of remote monitoring (RM) additional to their prenatal follow-up. In this study, we will investigate the perceptions and experiences of mothers, midwives, and obstetricians who participated in the PREMOM study. Specific questionnaires for the mothers, midwives and obstetricians were developed, handling five domains: (1) prior knowledge and experience of RM; (2) reactions to abnormal values; (3) privacy; (4) quality and patient safety; and (5) financial aspects. The caregivers were also questioned about which issues they consider important when implementing RM. A five-point Likert scale was used to provide objective scores. telephone.
The conserved C-terminal motifs of the Arabidopsis proteins APETALA3 and PISTILLATA are dispensable for floral organ identity function

The B class genes APETALA3 ( AP3 ) and PISTILLATA ( PI ) in Arabidopsis thaliana and their orthologs in other species have been the focus of studies to elucidate the development of petals and stamens in angiosperm flowers. Evolutionary analysis indicates that the B class genes have undergone multiple gene duplication events in the angiosperms. The resultant B class lineages are characterized by short conserved amino acid sequences at the extreme C-terminal end of the B class proteins. AP3 is a member of the euAP3 lineage that contains both the euAP3 and PI-derived motifs at the C terminus. PI is a member of the PI lineage that contains the C-terminal PI motif at the C terminus. Despite the conservation over a wide evolutionary distance, the function of the C-terminal motifs is not well understood. In this study, we demonstrate that truncated forms of AP3 and PI, which lack the conserved C-terminal motifs, function to direct floral organ identity specification in Arabidopsis plants. By contrast, larger truncations, which remove the third putative amphipathic alpha helix in the K domain of AP3 or PI, are non-functional. We conclude that the euAP3 and PI-derived motifs of AP3 and the PI motif of PI are not essential for floral organ identity function of AP3 and PI in Arabidopsis.
Capacitor-Current Proportional-Integral Positive Feedback Active Damping for LCL-Type Grid-Connected Inverter to Achieve High Robustness Against Grid Impedance Variation

Capacitor-current-feedback active damping has been widely used in LCL-type grid-connected inverters. However, the damping performance is deteriorated due to the negative equivalent resistance resulted by the digital control delays, and thus the grid-connected inverter is apt to be unstable under the grid impedance variation. To address this issue, this paper proposes the capacitor-current proportional-integral (PI) positive feedback active damping method that can ensure a positive equivalent resistance almost within the Nyquist frequency, i.e., the full controllable frequency range. In theory, the proposed damping method can be implemented by feeding back the capacitor current through a PI function. However, the integral term will continuously accumulate the noise and dc bias arising from the feedback signal. To overcome this drawback, a more practical implementation solution is drawn in this paper. Furthermore, a straightforward design procedure is presented for the convenience of selecting the proper controller parameters. With the proposed damping method and its practical implementation, high inverter robustness against the grid impedance variation can be achieved. Experiments are performed on a 6-kW prototype and the experimental results are in well agreement with the theoretical expectations.
C N O and pep solar n eu trin o m ea su rem en ts and p e r sp e c tiv e s in B o re x in o

The detection of neutrinos emitted in the CNO reactions in the Sun is one of the ambitious goals of Borexino Phase-II. A measurement of CNO neutrinos would be a milestone in astrophysics, and would allow to solve serious issues in current solar models. A precise measurement of the rate of neutrinos from the pep reaction would allow to investigate neutrino oscillations in the MSW transition region. The pep and CNO solar neutrino physics, the measurement in Borexino Phase-I and the perspectives for the new phase are reviewed in this proceeding.
THE ACUTE AND CHRONIC EFFECTS OF HOT WATER IMMERSION ON INFLAMMATION AND METABOLISM

The acute inflammatory response induced by exercise is suggested to improve the inflammatory profile and insulin sensitivity. As elevations in body temperature partly mediate the acute inflammatory response to exercise, passive heating may be a viable tool to improve metabolic health in individuals with a restricted ability to be physically active. Purpose To investigate the acute and chronic effects of hot water immersion (HWI) on inflammatory and metabolic markers. Methods Ten able-bodied, overweight (BMI: 31.0±4.2 kg/m 2 ) males were immersed in water set at 39°C for 1 h (IMM) and completed 1 h of seated rest at ambient temperature as a control condition (AMB). Venous blood was obtained prior to, immediately post and 2 h post-session for assessment of plasma concentrations of extracellular heat shock protein 72 (eHsp72), interleukin-6 (IL-6), nitrite, fasting glucose and insulin. Thereafter, participants underwent a 2-week intervention period (INT), consisting of 10 HWI sessions. Eight BMI-matched participants (BMI: 30.0±2.5 kg/m 2 ) were included as control for the chronic arm of the study (CON). Results Plasma IL-6 and nitrite concentrations were significantly higher immediately after IMM compared with AMB ( p <0.04). Following the 2-week intervention period, the concentrations of fasting glucose ( p = 0.04), insulin ( p = 0.04) and eHsp72 ( p = 0.03) were significantly lowered in INT compared with CON. Conclusion A single HWI session induces an acute inflammatory response and increases nitric oxide bioavailability, which could both positively impact on glucose metabolism. Indeed, the reduction in fasting glucose and insulin concentrations following the intervention period suggests that HWI could serve as a tool to improve glucose metabolism; with the reduction in resting eHsp72 concentration possibly contributing to this finding. Therefore, this study provides strong rationale to further investigate the health promoting potential of HWI in populations with disability.
The positive stable frailty model application to assess survival effect of health care reform on patients with acute myocardial infarction

Background: notoriously known worldwide leading cause of disability and mortality in adults cardiovascular diseases experience their rise in Ukraine, taking formidable death tall of 37 960 people with vicious rate 1 person per minute being the highest among European countries . Acute myocardial infarction (AMI) leads the way. The aim was to unveil the impact of ongoing health care reform to survival of patients with AMI incident in Vinnitsa region, Ukraine. Data: organised by cohort design. Control cohort comprised 400 patients with first episode of AMI treated in cardiological Vinnitsa city department on the eve of reform, namely 2005-2006 years. Experimental cohort consisted of 400 patients with first episode of AMI treated in Vinnitsa regional cardiological centre in 2008-2009 years at the moment of reform initiation and opening of the centre. Diagnoses comprised ICD-10 codes І 21.0- І 21.3, І 21.4, І 21.9, І 22. The most pervasive localization happened to be anterior (33,2%), posterior (37,4%), and frontolateral (12,0%). AMI-related lethal cases happened in first 5 years from the hospitalization were investigated. In given time period 270 out of 800 patients died, that is 33,7%. Methods: positive stable frailty model processed by SAS macro. Results: after adjustment on important clinical and biological confounders the implementation of reform rendered hazard reduction effect of the largest magnitude among other covariates (  = -0,179, р =0,029). Basic risk of lethality because of reform dropped by 19,6%, saving additional 0,8788 survival months to patient in first 5 years from AMI incident. It was unveiled that main effect (84,2%) was related particularly to improvement in timeliness of medical care.
Optimal pump scheduling in water systems using multi-objective and multi-criteria analysis

Optimal control of pumps in water distribution systems is one of the most important ways to bring energy efficiency into water supply. This work presents a combined approach of multi-objective optimization and multi-criteria analysis to find, respectively, optimal solutions for pump control, and to automatically select non-dominated specific solutions from the Pareto front. The Non-Dominated Sorting Genetic Algorithm is proposed to solve the multi-objective problem, while the Analytic Hierarchy Process and the Technique for Order of Preference by Similarity to Ideal Solution are used to first get the vector of criteria weights and then achieve a Pareto solution ranking. Various scenarios of demand and leakage are addressed on the D-town network, allowing to evaluate the suitability of the approach to near-real problems. Potential future developments of the present research are also highlighted by discussing the usefulness of clustering alternatives to evaluate the goodness of each solution under the considered evaluation criteria.
Association of Reduced Tumor Necrosis Factor Alpha, Gamma Interferon, and Interleukin-1 (cid:1) (IL-1 (cid:1) ) but Increased IL-10 Expression with Improved Chest Radiography in Patients with Pulmonary Tuberculosis (cid:1)

Mycobacterium tuberculosis infection is a major world health issue. The early identiﬁcation of patients at risk for a poor response to anti- M. tuberculosis therapy would help elucidate the key players in the anti- M. tuberculosis response. The objective of the present study was to correlate the modulation of cytokine expression (interleukin-1 [IL-1], IL-6, IL-8, IL-10, IL-12, gamma interferon [IFN- (cid:1) ], interferon-inducible protein [IP-10], and monocyte chemotactic protein 1 [MCP-1]) with the clinical response to 2 months of intensive therapy. From January to December 2007, 40 M. tuberculosis -infected patients and 40 healthy patients were recruited. After exclusion for diabetes, 32 patients and 36 controls were analyzed. The clinical responses of the M. tuberculosis -infected patients on the basis of the ﬁndings of chest radiography were compared to their plasma cytokine levels measured before and after 2 months of intensive anti- M. tuberculosis therapy and 6 months of therapy with human cytokine antibody arrays. Chest radiographs of 20 of 32 M. tuberculosis -infected patients showed improvement after 2 months of intensive therapy (early responders), while the M. tuberculosis infections in 12 of 32 of the patients resolved after a further 4 months (late responders). The levels of expression of TNF- (cid:2) , MCP-1, IFN- (cid:1) , and IL-1 (cid:3) were decreased; and the level of IL-10 increased in early responders. After adjustment for age, gender, and the result of sputum culture for M. tuberculosis , signiﬁcant differences in the levels of MCP-1 and IP-10 expression were observed between the early and the late responders after 2 months of intensive anti- M. tuberculosis therapy. Due to the interpatient variability in IP-10 levels, intrapatient monitoring of IP-10 levels may provide more insight into the M. tuberculosis responder status than comparison between patients. Plasma MCP-1 levels were normalized in patients who had resolved their M. tuberculosis infections. Further studies to evaluate the association of the modulation in MCP-1 levels with early and late responses are warranted.
Jump rope vortex ﬂow in liquid metal Rayleigh–Bénard convection in a cuboid container of aspect ratio Γ = 5

We study the topology and the temporal dynamics of turbulent Rayleigh–Bénard convection in a liquid metal with a Prandtl number of 0.03 located inside a box with a square base area and an aspect ratio of Γ = 5. Experiments and numerical simulations are focused on the Rayleigh number range 6 . 7 × 10 4 (cid:2) Ra (cid:2) 3 . 5 × 10 5 , where a new cellular ﬂow regime has been reported previously (Akashi et al. , Phys. Rev. Fluids , vol. 4, 2019, 033501). This ﬂow structure shows symmetries with respect to the vertical planes crossing at the centre of the container. The dynamic behaviour is dominated by strong three-dimensional oscillations with a period length that corresponds to the turnover time. Our analysis reveals that the ﬂow structure in the Γ = 5 box corresponds in key features to the jump rope vortex structure, which has recently been discovered in a Γ = 2 cylinder (Vogt et al. , Proc. Natl Acad. Sci. USA , vol. 115, number oscillations. The cellular ﬂow regime shows remarkable similarities to properties commonly attributed to turbulent superstructures.
-mediated impairment of coronary arterial relaxation is prevented by overnight treatment with 1 nM (cid:2) -estradiol

O 2 (cid:1) -mediated impairment of coronary arterial relaxation is prevented by overnight treatment with 1 nM (cid:2) -es-tradiol. J Appl Physiol 93: 1952–1958, 2002. First published 2002; 10.1152/japplphysiol.00615. 2002. —We tested the hypothesis that the ability of coronary arteries to withstand functional damage from superoxide (O 2 (cid:1) ) is altered by exposure of the arteries to a physiological concentration of (cid:2) -estradiol. Female porcine coronary arterial rings were incubated in an O 2 -CO 2 incubator, under normoxic conditions, at 37°C for 22–24 h. Arteries were then placed in baths containing a physiological salt solution at 37°C with 95% O 2 -5% CO 2 for isometric force recordings. In rings from 14 female pigs, vasorelaxation to A-23187 and diethylamine-NONOate (DEA-NONOate) was determined with and without prior 15-min exposure to 400 (cid:3) M pyrogallol. Sensitivity ( (cid:1) logM ED 50 ) and maximum relaxation to A-23187, but not DEA-NONOate, were signiﬁcantly impaired by exposure to pyrogallol (pyrogallol treated: 7.39 (cid:4) 0.09, 82 (cid:4) 5%; control: 7.76 (cid:4) 0.11, 99 (cid:4) 1%, means (cid:4) SE; P (cid:5) 0.01 and P (cid:5) 0.05, respectively). This effect was attenuated by concurrent exposure to equimolar ascorbate. Arterial rings from 12 separate female pigs were incubated for 22–24 h with or without 1 nM (cid:2) -estradiol before pyrogallol exposure. (cid:2) -Estradiol signiﬁcantly enhanced arterial sensitivity to A-23187 and prevented pyrogallol impairment without affecting DEA-NONO-ate responses. Therefore, superoxide-mediated endothelial damage and impaired endothelium-dependent relaxation of coronary arteries are prevented by overnight exposure of the arteries to a physiological concentration of (cid:2) -estradiol.
EFFECTS ON CONSUMER BEHAVIOUR AFTER THE POPULARISATION OF THE INTERNET

: Internet technology has prompted significant changes in many aspects of human life and society as well as in shopping culture. An important phenomenon, surrounding the human life as a continuum, is shopping through the Internet or e-commerce. Shopping through the Internet has interconnections with many disciplines such as law, economics, psychology, and marketing. Many academicians, researching in various disciplines, studied this issue, which is a dynamic field of study. However, the case is this, we can say that the studies about the reasons for shopping through Internet by the consumers are very new and few in number. Shopping through the Internet involves social, technological, economical, behavioural, and educational dimensions. There are many prior factors behind shopping through the Internet by the consumers. This study presents a theoretical explanation for online consumer behaviour.
Impact of fragmented emission reduction regimes on the energy market and on CO 2 emissions related to land use: A case study with China and the European Union as ﬁ rst movers Technological Forecasting & Social Change

In recent years, an approach based on voluntary pledges by individual regions has attracted interest of policy-makers and consequently also climate policy research. In this paper, we analyze scenarios in which the EU and China act as early-movers in international climate policy. Such a situation risks leakage between regions with ambitious emission reduction targets and those with less ambitious targets via fossil-fuel markets, displacement of heavy industry and land-use consequences. We examine some of these factors using the IMAGE model. While IMAGE does not include all mechanisms, we find the leakage rate to be relatively small, about 5% of the emission reductions in the EU and China. The far majority occurs via the energy market channel and the remainder through land-use change. Reduced oil prices due to less depletion forms the key reason for this leakage impact.
Security Management Methods in Relational Data

: The paper demonstrate on accuracy constrained privacy-preserving access control mechanism for relation data framework with multilevel anonymization techniaues. Access control policy which define selection predicate on sensitive data and privacy requirement deals with anonymity. As privacy protection mechanism (PPM) provides less privacy protection and the data is shared so the user should compromise the with the privacy of dada.The goal of the paper is to provide more security to the sensitive data along with minimal level of precision. An imprecision bound constraint is introduced on each selection predicate. Accuracy constraints for multiple roles also has been satisfied. Along with the multiple anonymity we can also do encryption of the anonymized data it provid more security.
A CRITICAL STUDY ON APPLICATIONS OF MACHINE LEARNING ALGORITHMS IN BUSINESS ANALYTICS

: The advancement of Information and Communication Computing Technology (ICCT) and Artificial Intelligence (AI) made a revolution in Computer Science and its applications areas like Business Intelligence (BI). Artificial Intelligence, Business Intelligence, and Machine Learning work together in order to predict and analyze some complex business analytics and thereby assisting the top managers to take some better decisions at higher levels. With the aid of Artificial Intelligence, Machine Learning can able to provide the ability to machines or systems automatically learn, and take decisions like human beings without programming explicitly based on experience. Machine Learning concepts have applications in diverse fields like day-to-day or daily business transactions to complex business analytics like Marketing Analytics, Pricing Analytics, Social Media Analytics, Customer Analytics, Supply Chain Analytics, and many more. Business Analytics is analyzing the business in 3600 angle which covers historical perspective or Descriptive, future perspective or Predictive and combinations of both or Perspective in order to make better and highly valuable decisions. Machine learning algorithms include supervised learning, unsupervised learning, and Meta-learning. The Machine learning algorithms include different techniques like Nearest Neighbour, Naive Bayes, Decision Tree, Classification Rule, Regression Analysis, Regression Trees, Neural Networks, Support Vector Machines, and many others. Unsupervised learning includes Clustering, Anomaly Detection, Association Rule, and a few others. Meta-learning algorithm covers Bagging, Boosting, Random Forest and a few others. This paper covers applications of machine learning algorithms in different areas of business analytics which includes Marketing Analytics, Pricing Analytics, Social Media Analytics, Customer Analytics, Supply Chain Analytics, Healthcare Analytics, and Portfolio analytics. This paper also tries to distinguish between supervised learning and unsupervised learning. This paper tries to find upcoming areas where machine learning algorithms can best fit in order to make some complex decision or to solve complex business problems.