Scheduling Policies in Time and Frequency Domains for LTE Downlink Channel: A Performance Comparison

A key feature of the Long-Term Evolution (LTE) system is that the packet scheduler can make use of the channel quality information (CQI), which is periodically reported by user equipment either in an aggregate form for the whole downlink channel or distinguished for each available subchannel. This mechanism allows for wide discretion in resource allocation, thus promoting the flourishing of several scheduling algorithms, with different purposes. It is therefore of great interest to compare the performance of such algorithms under different scenarios. Here, we carry out a thorough performance analysis of different scheduling algorithms for saturated User Datagram Protocol (UDP) and Transmission Control Protocol (TCP) traffic sources, as well as consider both the time- and frequency-domain versions of the schedulers and for both flat and frequency-selective channels. The analysis makes it possible to appreciate the difference among the scheduling algorithms and to assess the performance gain, in terms of cell capacity, users' fairness, and packet service time, obtained by exploiting the richer, but heavier, information carried by subchannel CQI. An important part of this analysis is a throughput guarantee scheduler, which we propose in this paper. The analysis reveals that the proposed scheduler provides a good tradeoff between cell capacity and fairness both for TCP and UDP traffic sources

Pulse Oximeter Perfusion Index as an Early Indicator of Onset of Sympathectomy After Epidural Anaesthesia

Objective: To establish a reliable indicator of epidural effectiveness, we compared the frequency of subjects achieving sympathectomy onset in patients undergoing lower limb surgeries under lumbar epidural anaesthesia in terms of changes in perfusion index (PI), mean arterial pressures (MAP), and toe temperature. Methodology:  This descriptive case series study was conducted at the Department of Anesthesiology, Holy Family Hospital, Rawalpindi from July 2018 - January 2019. A total of 96 patients were included, all of them received lumbar epidural catheters for lower limb surgeries and were given 10 ml of epidural bupivacaine 0.5% through the epidural catheter. Baseline values were recorded for PI in toe, MAP and temperature of toe. At 5, 10 and 20 minutes after epidural anaesthesia, these values were re-recorded. Data collection was completed before the start of surgery. Criteria for clinically evident sympathectomy was defined beforehand. The frequency of subjects reaching these predefined targets were analyzed at said time intervals using Mc-Nemar test at each time interval. Results: For PI 66/96, 88/96 and 96/96 of subjects in the study fulfilled the criteria of achieving sympathectomy at 5, 10 and 20 minutes , respectively, compared to 7/96 , 15/96 and 59/96 for MAP changes and 0/96, 29/96 and 45/96 for changes in temperature of toe. Conclusion: As per this study, PI seemed to be a faster, clearer and a more objective indicator of the onset of sympathectomy after epidural anaesthesia than toe temperature or MAP

Evaluation of Remotely Sensed Precipitation Estimates from the NASA POWER Project for Drought Detection Over Jordan

Droughts can cause devastating impacts on water and land resources and therefore monitoring these events forms an integral part of planning. The most common approach for detecting drought events and assessing their intensity is use of the Standardized Precipitation Index (SPI), which requires abundant precipitation records at good spatial distribution. This may restrict SPI usage in many regions around the world, particularly in areas with limited numbers of ground meteorological stations. Therefore, the use of remotely sensed derived data of precipitation can contribute to drought monitoring. In this study, remotely sensed precipitation estimates from the POWER/Agroclimatology archive of NASA and their derived SPI for different time intervals were evaluated against gauged observations of precipitation from 13 different stations in arid and semiarid locations in Jordan. Results showed significant correlations between remotely sensed and ground data with relatively high R values (0.67–0.91), particularly where seasonal precipitation exceeded 50 mm/year. For evaluation of remotely sensed data in SPI calculation, several objective functions were used; the results showed that SPI based on satellite estimates (SAT-SPI) showed good performance in detecting extreme droughts and indicating wet/dry conditions. However, SAT-SPI showed high tendency to overestimate drought intensity. Based on these findings, remotely sensed precipitation from the POWER/Agroclimatology archive showed good potential for use in detecting extreme meteorological drought with the provision of careful interpretation of the data. These types of studies are essential for evaluating the applicability of new drought monitoring information and tools to support decision-making at relevant scales

Advancement of artificial intelligence techniques based lexicon emotion analysis for vaccine of COVID-19

Emotions are a vital and fundamental part of life. Everything we do, say, or do not say, somehow reflects some of our feelings, perhaps not immediately. To analyze a human's most fundamental behavior, we must examine these feelings using emotional data, also known as affect data. Text, voice, and other types of data can be used. Affective Computing, which uses this emotional data to analyze emotions, is a scientific fields. Emotion computation is a difficult task; significant progress has been made, but there is still scope for improvement. With the introduction of social networking sites, it is now possible to connect with people from all over the world. Many people are attracted to examining the text available on these various social websites. Analyzing this data through the Internet means we're exploring the entire continent, taking in all of the communities and cultures along the way. This paper analyze text emotion of Iraqi people about COVID-19 using data collected from twitter, People's opinions can be classified based on lexicon into different separate classifications of feelings (anticipation, anger, trust, fear, sadness, surprise, disgust, and joy) as well as two distinct emotions (positive and negative), which can then be visualized using charts to find the most prevalent emotion using lexicon-based analysis

Frequency and Anatomical Distribution of Pulmonary Embolism on CT Pulmonary Angiography

Background: Pulmonary embolism, with its growing prevalence, has become a potentially life-threatening medical condition with crucial symptoms. However, prognosis is good if timely diagnosis is made and to the level of segmental and sub segmental arteries as well. Standard computed tomography pulmonary angiography (CTPA) is thus used to diagnose acute pulmonary embolism. Objective: The primary objective of the current study was to determine and investigate the anatomical distribution frequency of pulmonary emboli, where segmental, sub segmental, and lobar arteries on CT pulmonary angiography are included. Methodology: In a descriptive cross-sectional study, single-centered studies and CTPA scans of 98 patients were included. Data was obtained from Shalimar Hospital and University of Lahore – Teaching Hospital, Lahore, Pakistan. Sample size included patients of all age groups with suspected pulmonary embolism, with no differentiation of male or female samples. Results: According to statistics and analysis, the current study results indicated the presence of pulmonary embolism in 36 patients and its absence in 62 patients. Results indicated that amongst the 98 patients scanned, the highest frequency of pulmonary emboli was found in the pulmonary trunk and lobar artery in 8 patients (8.2%). Furthermore, CTPA of the participants detected pulmonary emboli in segmental and sub-segmental arteries of 5 patients (5.1%), with another 2 patients showing pulmonary emboli in only the sub-segmental artery (2.0%). Another 2-2 patients showed pulmonary emboli in lobar and segmental artery and lobar, segmental and sub-segmental artery respectively (2.0%, 2.0%). Conclusion: The largest number of pulmonary emboli were found in the pulmonary trunk, followed by emboli of segmental and lobar arteries in patients. It is concluded that CTPA evaluates pulmonary embolism with great precision and anatomical distribution localized main trunk, and pulmonary artery emboli along with lobar, segmental and sub-segmental artery emboli. Keywords: Computed Tomography Pulmonary Angiography (CTPA), pulmonary emboli, segmental artery, sub segmental artery, lobar arteries DOI: 10.7176/JHMN/100-02 Publication date:May 31st 202

Mechanistic evaluation of a novel cyclohexenone derivative?s functionality against nociception and inflammation: An in-vitro, in-vivo and in-silico approach

The synthesis of a novel cyclohexanone derivative (CHD; Ethyl 6-(4-metohxyphenyl)-2-oxo-4-phenylcyclohexe-3-enecarboxylate) was described and the subsequent aim was to perform an in vitro, in vivo and in silico pharmacological evaluation as a putative anti-nociceptive and anti-inflammatory agent in mice. Initial in vitro studies revealed that CHD inhibited both cyclooxygenase-2 (COX-2) and 5-lipoxygenase (5-LOX) enzymes and it also reduced mRNA expression of COX-2 and the pro-inflammatory cytokines TNF-α and IL-1β. It was then shown that CHD dose dependently inhibited chemically induced tonic nociception in the abdominal constriction assay and also phasic thermal nociception (i.e. anti-nociception) in the hot plate and tail immersion tests in comparison with aspirin and tramadol respectively. The thermal test outcomes indicated a possible moderate centrally mediated anti-nociception which, in the case of the hot plate test, was pentylenetetrazole (PTZ) and naloxone reversible, implicating GABAergic and opioidergic mechanisms. CHD was also effective against both the neurogenic and inflammatory mediator phases induced in the formalin test and it also disclosed anti-inflammatory activity against the phlogistic agents, carrageenan, serotonin, histamine and xylene compared with standard drugs in edema volume tests. In silico studies indicated that CHD possessed preferential affinity for GABAA, opioid and COX-2 target sites and this was supported by molecular dynamic simulations where computation of free energy of binding also favored the formation of stable complexes with these sites. These findings suggest that CHD has prospective anti-nociceptive and anti-inflammatory properties, probably mediated through GABAergic and opioidergic interactions supplemented by COX-2 and 5-LOX enzyme inhibition in addition to reducing pro-inflammatory cytokine expression. CHD may therefore possess potentially beneficial therapeutic effectiveness in the management of inflammation and pain

The global burden of adolescent and young adult cancer in 2019 : a systematic analysis for the Global Burden of Disease Study 2019

Background In estimating the global burden of cancer, adolescents and young adults with cancer are often overlooked, despite being a distinct subgroup with unique epidemiology, clinical care needs, and societal impact. Comprehensive estimates of the global cancer burden in adolescents and young adults (aged 15-39 years) are lacking. To address this gap, we analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, with a focus on the outcome of disability-adjusted life-years (DALYs), to inform global cancer control measures in adolescents and young adults. Methods Using the GBD 2019 methodology, international mortality data were collected from vital registration systems, verbal autopsies, and population-based cancer registry inputs modelled with mortality-to-incidence ratios (MIRs). Incidence was computed with mortality estimates and corresponding MIRs. Prevalence estimates were calculated using modelled survival and multiplied by disability weights to obtain years lived with disability (YLDs). Years of life lost (YLLs) were calculated as age-specific cancer deaths multiplied by the standard life expectancy at the age of death. The main outcome was DALYs (the sum of YLLs and YLDs). Estimates were presented globally and by Socio-demographic Index (SDI) quintiles (countries ranked and divided into five equal SDI groups), and all estimates were presented with corresponding 95% uncertainty intervals (UIs). For this analysis, we used the age range of 15-39 years to define adolescents and young adults. Findings There were 1.19 million (95% UI 1.11-1.28) incident cancer cases and 396 000 (370 000-425 000) deaths due to cancer among people aged 15-39 years worldwide in 2019. The highest age-standardised incidence rates occurred in high SDI (59.6 [54.5-65.7] per 100 000 person-years) and high-middle SDI countries (53.2 [48.8-57.9] per 100 000 person-years), while the highest age-standardised mortality rates were in low-middle SDI (14.2 [12.9-15.6] per 100 000 person-years) and middle SDI (13.6 [12.6-14.8] per 100 000 person-years) countries. In 2019, adolescent and young adult cancers contributed 23.5 million (21.9-25.2) DALYs to the global burden of disease, of which 2.7% (1.9-3.6) came from YLDs and 97.3% (96.4-98.1) from YLLs. Cancer was the fourth leading cause of death and tenth leading cause of DALYs in adolescents and young adults globally. Interpretation Adolescent and young adult cancers contributed substantially to the overall adolescent and young adult disease burden globally in 2019. These results provide new insights into the distribution and magnitude of the adolescent and young adult cancer burden around the world. With notable differences observed across SDI settings, these estimates can inform global and country-level cancer control efforts. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd.Peer reviewe