A Systematic Classification and Analysis of NFRs

The main agenda of Requirements Engineering (RE) is the development of tools, techniques and languages for the elicitation, specification, negotiation, and validation of software requirements. However, this development has traditionally been focused on functional requirements (FRs), rather than non-functional requirements (NFRs). Consequently, NFR approaches developed over the years have been fragmental and there is a lack of clear understanding of the positions of these approaches in the RE process. This paper provides a systematic classification and analysis of 89 NFR approaches

Antimicrobial effects of Kelussia odoratissima extracts against food borne and food spoilage bacteria "in vitro"

The aim of this paper was to investigate the antibacterial potential of Kelussia odoratissima Mozff extract against Gram-negative and Gram-positive bacteria. Karafs-eKoohi with the scientific name of Kelussia odoratissima is an Iranian endemic edible plant in the middle region of Iran with enormous use as food, spice and medicinal herb. The antibacterial effect of the extracts was investigated using pour plate and disk diffusion methods. Minimum Inhibitory Concentration (MIC( and Minimum Bactericidal Concentration (MBC) were also studied using the dilution method. Repeated measure ANOVA was used for data analysis. The results showed that in disk diffusion method all concentrations of ethanolic extract had inhibitory effect against Bacillus subtilis and Staphylococcus aureus. Minimum Inhibitory Concentration (MIC( of Kelussia odoratissima leaves of aqueous and ethanolic extracts for Bacillus subtilis and Staphylococcus aureus were 16 and 8 mg/ml, and for Enterobacter aerogenes were 32 and 16 mg/ml, respectively. Minimum Bactericidal Concentration (MBC) of Kelussia odoratissima leaves of aqueous and ethanolic extracts for Bacillus subtilis and Staphylococcus aureus were 32 and 16 mg/ml, and for Enterobacter aerogenes were 64 and 32mg/ml, respectively. The results showed that the extract of Kelussia odoratissima had a satisfactory antimicrobial activity and the ethanolic extract of Kelussia odoratissima leaves had greater inhibitory effects on the strains studied compared to aqueous extract in vitro. A significant correlation was also observed between zone of inhibition and concentration of extracts

Efficiency of partial 16S rRNA gene sequencing as molecular marker for phylogenetic study of cyanobacteria, with emphasis on some complex taxa

At present, the analysis of 16S rRNA gene sequences is the most commonly used molecular marker for phylogenetic studies of cyanobacteria. However, in many studies partial sequences is used. To evaluate the performance of this molecular marker, phylogenetic relationship of several taxa from this phylum, especially some intermixed taxa, was studied. We analyzed a data set consisting of three categories of cyanobacterial strains, traditionally classified in three orders, by morphological and phylogenetic analyses. The phylogenetic analyses were performed with an emphasis on partial 16S rRNA gene sequences (600 bp) and the phylogenetic relationships were assessed using Maximum Parsimony, Maximum Likelihood and Bayesian Inference. In morphometric study, numerical taxonomy was performed on several morphospecies, and cluster analysis was performed using SPSS software. Based on the findings of this study, unlike the morphological analysis which was useful in several taxonomic ranks, this molecular marker is recommended for use only in high taxonomic levels such as order and family, because, contrary to our expectations, using partial 16S rRNA gene sequencing in the lower taxonomic levels, even in the genus level, was not necessarily successful. Inefficiency of this molecular marker in taxonomy of some genera, especially intermixed taxa, was another finding of the present study, which represents the genetic similarity of these taxa

Interventions in reducing caesarean section in the world: A systematic review

Caesarean section without medical indication imposes many problems to families, personnel and medical equipment causing some side effects to pregnant woman and foetus, compared to natural childbirth. The present study aimed to evaluate the interventions in reducing caesarean section in the world. This study was a systematic review using Embase, PubMed, Scopus, Web of Science, Science Direct, Magiran and SID databases and grey literature. All studies conducted during 2000–2018 were reviewed and finally the studies with inclusion and exclusion criteria were selected. A total of 19 studies were selected among 5,559 studies. The interventions conducted for reducing caesarean section included training the specialists and women by using Six Sigma method, changing the guidelines, reviewing the definition of natural childbirth various stages, encouraging the natural childbirth and expanding painless childbirth. All interventions were divided into educational strategy and managerial strategy. The interventions can be implemented to change the behaviour of physicians and attitude of pregnant women in order to reduce caesarean section. In this regard, the authorities are recommended to make more efforts

Predictors of Quality of Life in Infertile Couples.

OBJECTIVES: This study was conducted with the aim of examines the quality of life of infertile couples and their relationship with the practical resilience of infertile couples referring to Yazd's centers of infertility. METHODS: This research is a descriptive-correlational study. The research population consisted of all infertile couples who referred to Infertility Centers in Yazd, Iran in the winter of 2016. Sampling was conducted in a non-random and accessible manner. The instrument used in the research included a) demographic information questionnaire, b) Conner and Davidson's Resilience Scale, and c) quality of life infertile couples questionnaire. Data were analyzed by SPSS software version 17 at a significant level of P < 0.05. To describe the data, descriptive statistics methods were used and the inferential statistics (Pearson correlation coefficient, regression, independent t test, and variance analysis) were used to test the research hypotheses. RESULTS: People (202 couples) participated in this research. Three variables of resilience (β = 0.04, P = 0.04), gender (β = -0.22, P < 0.001), and education level (β = 0.21, P < 0.001) had a prediction coefficient and there was a significant relationship with quality of life. CONCLUSIONS: This study showed that resilience, gender, and education predict the quality of life of infertile couples. In the infertile couples counseling program, resilience should be considered as a coping factor. KEYWORDS: Couples; Infertility; Quality of lif

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BackgroundDisorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021.MethodsWe estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined.FindingsGlobally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378–521), affecting 3·40 billion (3·20–3·62) individuals (43·1%, 40·5–45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7–26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6–38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5–32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7–2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer.InterpretationAs the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Quality evaluation framework (QEF): Modeling and evaluating quality of business processes

Business process modeling is an important part of information systems design as well as of any business engineering or reengineering activity. Business process modeling languages provide standard ways of presentation and communication between different stakeholders. A business process model is the externalization of the conceptualization of some parts of the object world that deal with those aspects that pertain to the way business transactions are carried out and supported by an information system. This paper deals with an essential issue in this context, namely the assessment of the quality of business processes through their models. This objective raises two major issues, (a) the identification of the quality factors relevant to business processes, and (b) the definition of the metrics that provide a means for objectively measuring quality of business processes. These two issues are addressed in this paper through a quality evaluation framework, known as QEF that enables business process modelers to explicitly incorporate a wide variety of requirements corresponding to quality factors. Quality factors of business processes are defined in this paper and categorized into different quality dimensions. Application of the quality framework as well as proposed quality dimensions, factors and metrics are discussed through an illustrative example