33 research outputs found
Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review
Context: User intent modeling is a crucial process in Natural Language
Processing that aims to identify the underlying purpose behind a user's
request, enabling personalized responses. With a vast array of approaches
introduced in the literature (over 13,000 papers in the last decade),
understanding the related concepts and commonly used models in AI-based systems
is essential. Method: We conducted a systematic literature review to gather
data on models typically employed in designing conversational recommender
systems. From the collected data, we developed a decision model to assist
researchers in selecting the most suitable models for their systems.
Additionally, we performed two case studies to evaluate the effectiveness of
our proposed decision model. Results: Our study analyzed 59 distinct models and
identified 74 commonly used features. We provided insights into potential model
combinations, trends in model selection, quality concerns, evaluation measures,
and frequently used datasets for training and evaluating these models.
Contribution: Our study contributes practical insights and a comprehensive
understanding of user intent modeling, empowering the development of more
effective and personalized conversational recommender systems. With the
Conversational Recommender System, researchers can perform a more systematic
and efficient assessment of fitting intent modeling frameworks
CN2F: A Cloud-Native Cellular Network Framework
Upcoming 5G and Beyond 5G (B5G) cellular networks aim to improve the
efficiency and flexibility of mobile networks by incorporating various
technologies, such as Software Defined Networking (SDN), Network Function
Virtualization (NFV), and Network Slicing (NS). In this paper, we share our
findings, accompanied by a comprehensive online codebase, about the best
practice of using different open-source projects in order to realize a flexible
testbed for academia and industrial Research and Development (R&D) activities
on the future generation of cellular networks. In particular, a Cloud-Native
Cellular Network Framework (CN2F) is presented which uses OpenAirInterface's
codebase to generate cellular Virtual Network Functions (VNFs) and deploys
Kubernetes to disperse and manage them among some worker nodes. Moreover, CN2F
leverages ONOS and Mininet to emulate the effect of the IP transport networks
in the fronthaul and backhaul of real cellular networks. In this paper, we also
showcase two use cases of CN2F to demonstrate the importance of Edge Computing
(EC) and the capability of Radio Access Network (RAN) slicing
What makes a cyanobacterial bloom disappear? A review of the abiotic and biotic cyanobacterial bloom loss factors
Cyanobacterial blooms present substantial challenges to managers and threaten ecological and public health. Although the majority of cyanobacterial bloom research and management focuses on factors that control bloom initiation, duration, toxicity, and geographical extent, relatively little research focuses on the role of loss processes in blooms and how these processes are regulated. Here, we define a loss process in terms of population dynamics as any process that removes cells from a population, thereby decelerating or reducing the development and extent of blooms. We review abiotic (e.g., hydraulic flushing and oxidative stress/UV light) and biotic factors (e.g., allelopathic compounds, infections, grazing, and resting cells/programmed cell death) known to govern bloom loss. We found that the dominant loss processes depend on several system specific factors including cyanobacterial genera-specific traits, in situ physicochemical conditions, and the microbial, phytoplankton, and consumer community composition. We also address loss processes in the context of bloom management and discuss perspectives and challenges in predicting how a changing climate may directly and indirectly affect loss processes on blooms. A deeper understanding of bloom loss processes and their underlying mechanisms may help to mitigate the negative consequences of cyanobacterial blooms and improve current management strategies
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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
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
Effect of total replacement of egg by soymilk and lecithin on physical properties of batter and cake
The baking industry is interested in finding cost‐effective and healthful alternatives for eggs. Therefore, in this study the effects of total replacement of egg by soymilk (SM) in combination with 0–6% soy lecithin (SL) on batter (density, microstructure, viscosity, and texture) and cakes (height, volume, density, texture, color parameters, and sensory attributes) were determined and compared with cakes manufactured with eggs. The results showed that all batters had shear thinning behavior and provided a good fit for the power law model. The egg‐free cake in the absence of SL was downgraded because of high density and viscosity, small air bubbles, dark color, firm texture, low volume, and sensory scores. Inclusion of up to 4% SL to the SM was found to be significant in improving cake quality and led to cakes more similar to the control sample; however, higher levels of SL had negative effects on organoleptic properties of cakes
Trends of geographic distribution of general practitioners in the public health sector of Iran
Background: Proper distribution of general practitioners (GPs) is one of the challenges in all health systems. This study aimed to investigate geographical distribution of GPs in public health sector in Iran between 2010 and 2016.
Methods: The study is a descriptive–cross-sectional study. The population of provinces was extracted from Iran's National Statistic Center, while information on GPs was gathered from deputy of statistic and information technology in Ministry of Health and Medical Education. Data analysis was carried out using descriptive statistics, Gini coefficient (GC), and by drawing geographical distribution map of GPs. Data analysis was performed by excel 2013, Stata V.14, and Arc GIS software.
Results: The results of calculating the number of GPs per 100,000 population in Iran showed that, in year 2010, Chaharmahal and Bakhtiari Province had the highest (10.39) and Alborz Province had the lowest (0.66) number of per capita GPs. The highest number of GPs per 100,000 population among Iran's provinces belonged to Chaharmahal and Bakhtiari (8.97), while the lowest belonged to Tehran (0.28) in year 2016. The GC was 0.31 in year 2010 and 0.283 for 2011. The lowest GC belonged to year 2012 (GC = 0.272), while the largest coefficient belonged to year 2016 (0.356).
Conclusions: According to the results of this study, the distribution of GPs in public health sector of Iran in between 2010 and 2016 showed inequality. Therefore, along with increasing the number of GPs working in public health sector, it is necessary to pay attention to their distribution. Further studies are needed to investigate inequality of GPs within and between the provinces
Usability evaluation of obstetrics and gynecology information system using cognitive walkthrough method
Background and aim: Obstetrics and gynecology information system is a critical component of the HIS in social
security organization health centers. The objective of this study was to evaluate the usability of this system using
the cognitive walkthrough method. Also, the present study provided a detailed formal description of how the
cognitive usability evaluation can be applied and reported for a health care information system.
Methods: This study was conducted at the Mashhad University of Medical Sciences' usability lab from March
2016 to June 2017. A two-phase approach was used to conduct the cognitive walkthrough evaluation: preparatory
and evaluation. The preparation was done in three stages: first, we investigated users’ capabilities and
background knowledge through a semi-structured interview. Second, the evaluation scenario was developed
based on the most common tasks in routine workflow of users. Finally, each task was broken down into
sequences of actions. In the evaluation phase, three usability experts independently assessed each action using a
four-item checklist. Problems were categorized thematically and were reported from three different perspectives:
Question-based, Task-based, and Evaluator-based. The data were then analyzed to understand the contribution of
each task, along with its mean severity score.
Results: Evaluators’ responses were compared and any conflict was resolved in an expert panel. A total of 116
usability problems were identified based on the consensus of the evaluators. Inadequate system feedback was
found to be the main source of 43% of the problems, and resulted in users confusion.
Conclusion: Since the system was evaluated in its pilot implementation phase, there was an opportunity to
prevent future potential usability problems. The use of a mixed quantitative and qualitative approach in this
usability study provided a more comprehensive perspective of the system problems. This study provided a
detailed description of conducting CW usability evaluation which can be used as a practical guide for future
studie
Evaluation of Sodium Benzoate and Potassium Sorbate Preservative Concentrations in Different Sauce Samples in Urmia, Iran
Sodium benzoate and potassium sorbate are relatively common preservatives used in a wide range of foods including flavoring products like sauces. The potential health risks arising from these preservatives along with the high-consumption rate of these flavoring products worldwide highlight the importance of the quality and safety assurance of these products. So, this study aimed to evaluate the concentrations of these two common preservatives (i.e., sodium benzoate and potassium sorbate) in different sauce samples, including mayonnaise, salad dressings, Caesar sauce, Italian dressing, Ranch dressing, French dressing, using high-performance liquid chromatography (HPLC) and to compare them with the acceptable level of Codex standard. For this purpose, 49 samples, including three to five samples of each type of different brands of sauce samples, were randomly collected from supermarkets in Urmia, Iran. Based on the results, the mean concentrations ± standard deviation of sodium benzoate and potassium sorbate in the collected samples were found to be 249.9 ± 157 and 158.0 ± 131 ppm, respectively, which were lower than the general standard of the Codex Alimentarius and the European legislation. Due to the importance of hazardous side effects of these preservatives for consumers, regular and accurate evaluation of these preservatives in sauces as highly consumed food products is still recommended for consumer safety
Usability testing of bed information management system: A think-Aloud method
Not considering the usability in designing clinical information systems causes problems in human-computer interaction and patient dissatisfaction. Therefore, in this study, the usability of the bed information management system (BIMS) was examined by think-Aloud method. This cross-sectional study was conducted on the BIMS in 50 noneducational hospitals. Participants consisted of three groups including users, facilitators, and technical support. To carry out the study, a scenario consisting of four tasks was designed. Three researchers analyzed the recorded files to identify the usability problems and their severity. The mean time of the evaluation process was 20:33 ± 4:47 s. The total number of the problems identifies by users was 80 cases. Data entry and layout problems with 38 (48%) and 33 (41%) cases were the most frequently found problems, respectively. About 61% and 55% of the data entry and layout problems had a minor severity (Severity 2), respectively. Furthermore, 43 (54%) cases of the problems were resolved by the users and 32 (40%) cases by the facilitator assistance. This study showed that a large number of the problems were due to the system poor design. Furthermore, by increasing the users' level of knowledge about the system, it is possible to enhance user-system interaction. It is recommended that before designing and implementing a system, the system should be evaluated for usability, and the users should be educated in clinical information systems