Eml-Mac: A Simplified Time Slot Synchronization Algorithm For Wireless Sensor Networks

Rangkaian Penderia Tanpa Wayar (WSN) merupakan satu teknologi yang pesat berkembang, yang banyak digunakan untuk pelbagai aplikasi seperti ramalan cuaca, pemantauan persekitaran, penjejakan sasaran dan aplikasi ketenteraan. Wireless Sensor Network (WSN), is a fast growing technology, which is widely used for different applications, namely weather forecast, environmental monitoring, target tracking and military applications

Adaptive Resource Allocation for Wireless Body Sensor Networks

The IEEE 802.15.4 standard is an interesting technology for use in Wireless Body Sensor Networks (WBSN), where entire networks of sensors are carried by humans. In many environments the sensor nodes experience external interference for example, when the WBSN is operated in the 2.4 GHz ISM band and the human moves in a densely populated city, it will likely experience WiFi interference, with a quickly changing ``interference landscape''. In this thesis we propose Adaptive Resource Allocation schemes, to be carried out by the WBSN, which provided noticeable performance gains in such environments. We investigate a range of adaptation schemes and assess their performance both through simulations and experimentally

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

Effect of Plant Density and Nitrogen Fertilizeron Morphological Traits, Seed and Essential Oil Yield and Essential Oil Content of Ajowan (Carum copticum L.)

Introduction: Ajowan (Carum copticum Benth. & Hook.) is an annual herbaceous essential oil bearing plant belonging to the Apiaceae family, which grows in India, Iran, and Egypt. Ajowan seeds have essential oil as an active substance, which is used in pharmaceutical industry as a diuretic, antivomiting, analgesic, antiasthma, antispasmodic and a carminative. Nitrogen is a part of all living cells and is a necessary part of all proteins, enzymes and metabolic processes involved in the synthesis and transfer of energy. Also, nitrogen is a part of chlorophyll, the green pigment of the plant that is responsible for photosynthesis. Generally, proper agronomic management including suitable plant density has a high influence on growth and yield of medicinal plants. In this regard, Kloss et al., (2012) highlighted the need for strategies to improve crop growth, make irrigation more efficient and sustainable and conserve farmlands. In addition, yield is influenced by inter-row spacing and sowing density. Ghilavizadeh et al., (2013) have reported that application of suitable amount of nitrogen fertilizer and plant density of 25 plan/m2 increased seed yield, essential oil yield and essential oil content of ajowan. In another research, Borumand Rezazadeh et al., (2009) reported that the plant density of 50 plant/m2 have produced the highest seed yield, essential oil yield and essential oil content. Generally, with regard to importance of medicinal plants and the necessity of understanding their crop and the impact of plant density and nitrogen fertilizer on the performance of these plants, this study was conducted to investigate the impact of these factors on some traits of ajowan. Materials and Methods: In order to evaluate the effect of plant density and nitrogen fertilizer on different traits of ajowan (Carum copticum L.), an experiment was conducted using factorial based on randomized complete block design with three replications at Agricultural and Natural Resources Research Center of Yazd in 2012 growing season. Treatments included three levels of plant density (60, 120 and 180 plant per m2) and three levels of nitrogen fertilizer (60, 90 and 120 kg/ha). The geographical location of the experimental station was 55°52´ S and 29°52´ N with the altitude of 1120 m. Each experimental plot was 6 m long and 2 m wide with the spacing of 30 cm between the rows. Ajowan seeds were directly sown by hand on 3 April, 2012. To measure the characteristics of number of umbel per plant, flowering branches and diameter of top of plant with respect to the margin effect, 10 plants were randomly selected from two central rows of each plot and mentioned traits were measured and the means of each traits in each plot were used in the analysis. For evaluating seed yield, essential oil yield and content, 1 meter of each plot was harvested. For statistical analysis, MSTAT-C software was used to compare means at the 5% probability level by Duncan's multiple range test. Results and Discussion: The results showed that the highest number of flowers per plant (25/27), number of flowering branches (7/77), diameter of top of plant (32 cm), seed yield (301/4 kg/ha) and essential oil yield (12/45 kg/ha) were obtained from 60 plant per m2 and 120 kg/ha nitrogen. Among the treatments, only the effect of nitrogen fertilizer was significant on essential oil content, so that, application of 120 kg/ha nitrogen produced the highest essential oil content (4/07). Our results are in agreement with the findings of Borumand Rezazadeh et al., (2009) who reported that, the highest traits of ajowan was obtained in plant density of 50 plant/m2. Seed yield had positive and significant correlation with plant height, number of umbel per plant and number of flowering branches. Conclusion: Generally, it is concluded that, increasing the plant density with enhancing the interspecific competition for light, nutrients, water and other resources, had negative effect on traits of ajowan. Furthermore, the findings of this research indicated that ajowan had high requirement for nitrogen to produce a reasonable yield. So, more researches at different conditions are necessary to evaluate the effect of intercropping, rotation, bio-fertilizers and composts on different traits of ajowan. Generally, it seems that more researches are needed for investigating the effect of different plant densities and nitrogen fertilizers on qualitative and quantitative traits of ajowan

Glomerular Filtration Rate Changes in Neonates with Sepsis Treated with Amikacin and Cefotaxime

Background and purpose: Aminoglycosides (AG) such as Amikacin that are widely used to prevent and treat infections in neonates have nephrotoxic effects. The aim of this study was to evaluate the role of urinary index to Glomerular filtration rate (GFR) in diagnosis of tubular renal injury following administration of Amikacin in neonates admitted to neonatal intensive care unit (NICU). Materials and methods: In this descriptive cross-sectional study, 45 neonates admitted to NICU with confirmed sepsis undergone treatment with Amikacin and Ampicillin and 45 neonates were treated with Ampicillin and Cefotaxime. GFR was calculated using Schwartz's formula (serum creatinine/height * 0.45) and categorized based on Fanaroff table. In both groups, BUN, Cr, and GFR were measured at days one and seven. Data analysis was performed in SPSS. Results: Two (4.4%) patients in the group treated with Amikacin and Ampicillin and one (2.2%) in the group who received Ampicillin and Cefotaxime developed acute kidney injury (AKI). GFR changes and Cr levels at day seven were not found to be significantly different between septic neonates treated with Amikacin and Ampicillin and neonates treated with other non-aminoglycosidic antibiotics (P>0.05). Conclusion: There was no difference in incidence of AKI between neonates receiving Amikacin and Ampicillin and those who received Ampicillin and Cefotaxime. Hence, AKI in these neonates requires further evaluations

Biochemical traits associated with growing sorghum genotypes with saline water in the field

This study was aimed to determine biochemical traits related to higher phytomass production in sorghum genotypes irrigated with saline water. It was also attempted to consider whether or not forage yield production under non-saline conditions could be used as an index for for the selection of high yielding genotypes of sorghum under saline conditions. Forty-five sorghum genotypes were grown under field conditions using saline water or normal irrigation water in two growing seasons in Yazd, Iran. It appeared that salinity tolerance in sorghum genotypes, in addition to local adaption, was highly related to forage yield as well as some biochemical traits as carotenoid concentration, catalase activity, and K+/Na+ ratio. The screening method based on biochemical traits appeared to be applicable for identification of the salt-tolerant genotypes.12 month embargo; published online: 10 February 2020This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

A histologic, histomorphometric, and radiographic comparison between two complexes of CenoBoen/CenoMembrane and Bio-Oss/Bio-Gide in lateral ridge augmentation: A clinical trial

Background: Several grafting materials have been used for alveolar ridge augmentation. The literature lacks researches to compare CenoBone to other grafting materials. The aim of this study was to compare CenoBone/CenoMembrane complex to Bio-Oss/Bio-Gide complex in lateral alveolar bone augmentation in terms of radiographic, histologic, and histomorphometric parameters. Materials and Methods: In this randomized controlled trial, ten patients who needed lateral ridge augmentation were selected and augmentations were done using either of CenoBone/CenoMembrane or Bio-Oss/Bio-Gide complexes. In the re-entry surgery in 6 months following augmentation, core biopsies were taken and clinical, radiographic, histologic, and histomorphometric evaluations were performed. Results: No statistically significant difference was seen between groups except for the number of blood vessels and percentage of residual graft materials. Conclusion: CenoBone seems to present a comparable lateral ridge augmentation to Bio-Oss in