Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinicoepidemiological Features and Mortality Analysis of Deceased Patients with COVID-19 in a Tertiary Care Center

Abstract Background and objective A large number of studies describing the clinicoepidemiological features of coronavirus disease-2019 (COVID-19) patients are available but very few studies have documented similar features of the deceased. This study was aimed to describe the clinicoepidemiological features and the causes of mortality of COVID-19 deceased patients admitted in a dedicated COVID center in India. Methodology This was a retrospective study done in adult deceased patients admitted in COVID ICU from April 4 to July 24, 2020. The clinical features, comorbidities, complications, and causes of mortality in these patients were analyzed. Pediatric deceased were analyzed separately. Results A total of 654 adult patients were admitted in the ICU during the study period and ICU mortality was 37.7% (247/654). Among the adult deceased, 65.9% were males with a median age of 56 years [interquartile range (IQR), 41.5–65] and 94.74% had one or more comorbidities, most common being hypertension (43.3%), diabetes mellitus (34.8%), and chronic kidney disease (20.6%). The most common presenting features in these deceased were fever (75.7%), cough (68.8%), and shortness of breath (67.6%). The mean initial sequential organ failure assessment score was 9.3 ± 4.7 and 24.2% were already intubated at the time of admission. The median duration of hospital stay was 6 days (IQR, 3–11). The most common cause of death was sepsis with multi-organ failure (55.1%) followed by severe acute respiratory distress syndrome (ARDS) (25.5%). All pediatric deceased had comorbid conditions and the most common cause of death in this group was severe ARDS. Conclusion In this cohort of adult deceased, most were young males with age less than 65 years with one or more comorbidities, hypertension being the most common. Only 5% of the deceased had no comorbidities. Sepsis with multi-organ dysfunction syndrome was the most common cause of death. How to cite this article Aggarwal R, Bhatia R, Kulshrestha K, Soni KD, Viswanath R, Singh AK, et al. Clinicoepidemiological Features and Mortality Analysis of Deceased Patients with COVID-19 in a Tertiary Care Center. Indian J Crit Care Med 2021; 25(6):622–628.
Requirements for Post-Quantum Cryptography on Embedded Devices in the IoT

As NIST proceeds through Round 3 to whittle down and choose the PQC methods it will standardize, members of the commercial community who plan to use the output of NIST would like to ensure their needs are also being met. Specifically, while the needs of the US Federal Government are absolutely vital, and large organizations like Google, Amazon, Microsoft, Apple, etc. would be able to directly leverage anything NIST creates for the Federal Government, there are other use-cases that are just as vital but have a significantly different set of operating requirements and restrictions, namely restricted resources for embedded “Internet of Things” (IoT) devices. This paper provides the background of various IoT platforms in common use, their available resources, and summarizes with the point that NIST should include at least one method that will fit and successfully operate in these restricted environments, along with a suggestion for how NIST might achieve that by prioritizing RAM usage over ROM usage while also prioritizing low clock-cycle (faster) methods.
Correlation and path analysis studies in mungbean

Green gram (Vigna radiata L.) is an important pulse crop grown in India. The entire success of plant breeding programme of any crop largely depends on the wide range of variability present in that crop. It is the range of genetic variability in respect of important economic characters present in the population upon which is based on the effectiveness of selection. Correlation studies measure only mutual association between two traits and it does not imply the cause and effect of relationship. Path analysis is a standardized partial regression analysis, which further permits the partitioning of correlation coefficient in to components of direct and indirect effects of independent variable on the dependent variable. The present investigation was carried out with thirty diverse mungbean (Vigna radiata L. Wilczek) genotypes for ten characters with three replications in the field of Agricultural Botany, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra state during the kharif, 2016-17 for the estimation of genetic variability parameters, correlation coefficient and path coefficient analysis. The higher values of GCV and PCV observed for almost all the characters studied. High estimates of heritability in broad sense were recorded for plant height (0.97), grain yield per plant (0.91), days to 50 percent plant flowering (0.89), 100 seed weight (0.85), plant stand at harvest (0.84), number of pod per plant (0.84), number of seed per pod (0.78), days to maturity (0.29) and number of branches per plant (0.20). High genetic advance observed for plant stand at harvest (67.48) plant height (16.72), days to 50 percent flowering (6.37), number of pod per plant (5.44). The lowest magnitudes of genetic advance were reported for number of branches per plant (0.44), 100 seed weight (0.86), number of days to maturity (1.35), number of seed per pod (2.31), grain yield per plant (4.70) and number of pod per plant (5.44). The yield per plant was highly significant and positively correlated with plant stand at harvest, plant height, number of branches per plant, number of pod per plant, 100 seed weight, number of seed per pod, Path coefficient analysis indicated high direct effect on days to 50% flowering, number of branches per plant, number of pod per plant.
A Systematic Literature Review of Software Defect Prediction Using Deep Learning

: The approaches associated with software defect prediction are used to reduce the time and cost of discovering software defects in source code and to improve the software quality in the organizations. There are two approaches to reveal the software defects in the source code. The first approach is concentrated on the traditional features such as lines of code, code complexity, etc. However, these features fail to extract the semantics of the source code. The second one is concentrated on revealing these semantics. This paper presents a Systematic Literature Review (SLR) of software defect prediction using deep learning models. This SLR is focused on identifying the studies that use the semantics of the source code for improving defect prediction. This SLR aims to analyze the used datasets, models and frameworks. Also, identifying the evaluation metrics to ensure their applicability in software defect prediction. IEEE Xplore, Scopus and Web of Science digital libraries were used to select the suitable primary studies. Forty (40) primary studies were selected that published by 15 December 2020 for analysis based on the quality criteria. The project levels that applied in the studies were: Within-project 52.5%, cross-project 17.5% and both within-project and cross-project 30%. The datasets used were: Promise dataset 68.18% and other datasets 31.82%. The most used deep learning model in the primary studies was: Convolutional Neural Network (CNN) by 35%. The most used evaluation metrics were: F-measure and Area Under the Curve (AUC). Software defect prediction using deep learning models is still a valuable topic and requires much research studies to enhance the performance of the defect prediction.
Schools as Knowledge-Building Organizations

Although schools are learning organizations in the sense that they promote learning, few would quality as learning organizations in the larger sense of the term now current in organizational theory (Senge, 1990; see Rohlen, Chapter 13, this volume). Indeed, from an organizational standpoint schools are often seen as bureaucratic institutions particularly resistant to the kind of purposeful change from within that characterizes learning organizations. But what would it mean for schools to become learning organizations? There are two quite different ways of answering that question. One would constitute an overhaul in management and the organization of work in order for schools to do a better job of performing their traditional functions. The other is a much more radical transformation, in which the basic job of the school is altered. Most current school reform, whether it involves new management structures or the introduction of new standards and curricula, is of the first kind. In this chapter we explore the second, more radical, and also harder-to-grasp form of transformation, which we believe is necessary if schools are to realize their potential in a knowledge society.
Associations between dental checkups and unmet dental care needs by gender and age: an examination of cross-sectional data from the 7th Korea National Health and Nutrition Exami- nation Survey (2016–2018)

To identify genderand age-related associations between adult dental checkups and unmet dental care needs, we analyzed data of 14,000 participants, ages ≥ 19, from the 7th Korea National Health and Nutrition Examination Survey (2016–2018) (KNHANES VII). Data was collected via self-report questionnaires and interviews. Complex sample chi-square test and multiple logistic regression analysis indicated 31.7% of participants had unmet dental care needs; in the prior 12months, 67.1% had not utilized dental services, and 43.3% had not received dental checkups. Odds ratios (ORs) for dental checkups and unmet dental needs were 8.87 (CI:7.80–10.09, p < 0.001) for those who used dental services and 1.28 (CI: 1.13–1.44, p < 0.001) for those who had not. Significant age-dependent associations between those not receiving dental checkups and the rate of unmet dental care include men and women aged 50–59 years (OR: 1.77; CI = 1.22–2.58 and OR: 1.43; CI: 1.02–2.02; p = 0.040, respectively) and women ≥ 70 years (OR = 1.79, CI = 1.20–2.66, p = 0.004). Reducing unmet dental care needs requires greater public health promotion and education regarding regular dental checkups; additional practical strategies could enhance dental checkup
Spatial variability of arbuscular mycorrhizal spores and particle size distributions of basement complex valley bottom soils of south-western Nigeria

Spatial variability of soil properties have been attributed to factors of soil formation, land use and management. Mycorrhizal fungi are associated intrinsically with soil organic matter and have been reported to be spatially heterogeneous and largely influence soil fertility and crop production. The objective of this study was to assess spatial variability of arbuscular mycorrhizal and its relationship with particle size fractions on valley bottom soils in southwestern Nigeria. The study was conducted on a 9 hectare (900m by 100m) undergraduate internship plot in University of Ibadan, Nigeria. Surface (0 15cm) and subsurface (15 – 30cm) soil samples were collected at rigid grid nodes (10m by 100m), processed and analysed for particle size distribution, available phosphorus, organic carbon and arbuscular mycorrhizal fungi (Gigaspora, Scultelospora, Acaulospora, Entrophospora, Glomus, etc.). Data collected were analyzed statistically using descriptive statistic, statistics of dispersion and geostatistics. The variables that were normally distributed included silt (surface), silt, clay and organic carbon (subsurface). Status of coefficient of variation of the soil properties ranged from least to moderate (7.6% 42.3% and 0.7% 42.7% for surface and subsurface soils respectively. There were significant correlations between clay content and Gigaspora (r = 0.43, p<0.01), clay and Glomus (r = -0.24, p<0.05), Gigaspora and Glomus (r = 0.43, p<0.01) on the surface. Whereas on the subsurface, clay and Glomus (r = 0.23, p<0.05), available phosphorus and Gigaspora (r = 0.23, p<0.05), Gigaspora and Glomus (r = 0.51, p<0.05) were significantly correlated. The semivariance analysis carried out indicated that extent of spatial dependence of the soil properties on both depths varied from strong to moderate (5.9% 63.3% and 14.3% 53.0% in surface and subsurface soils respectively) which is as a result of intrinsic variation caused by factors of soil formation. Variability of mycorrhizal spores in the study area is majorly attributable to pedogensis rather than land use and management. Clay and available phosphorus were found to influence distribution of mycorrhizal spores. © 2014 Elixir All rights reserved ARTIC LE INF O Article h istory: Received: 2 September 2013; Received in revised form: 16 May 2014; Accepted: 30 May 2014;
Neural Argumentation Mining on Essays and Microtexts with Contextualized Word Embeddings (short paper)

Detecting the argument components Claim and Premise is a central task in argumentation mining. Working with two annotated corpora from the genre of short argumen-tative texts, we extend a BiLSTM-CRF neural tagger to identify argumentative units and to classify their type (claim vs. premise). For the corpora we use, Persua-sive Essays and Argumentative Microtexts, current methods relied on pre-computed non-contextual word embeddings such as Glove. In this paper, we adopt contextual word embeddings (Bert, RoBerta) and cast the problem as a sequence labeling task. We show that this step improves the state of the art for the Persuasive Essays, and we present strong initial results on applying the same approach to the Argumentative Microtexts.
Effects of Spiruline (Spirulina platensis) Supplementation on Oxidative Stress Markers, Biochemical Characteristics, and Hematological Parameters in Rabbit (Oryctolagus cuniculus) Does

The present study was carried out in order to evaluate the effects of feed supplementation with spiruline powder on the oxidative stress markers, biochemical characteristics, and hematological parameters in rabbit doe. Twenty-one nulliparous and sexually mature does (7–8 months old) were distributed into three groups of seven does each, comparable in terms of body weight. After a week of feeding with experimental feed, does of each group were mated. During the trial, does of group 1 (control group) were fed ad libitum with a feed free from spiruline (control feed), while those of groups 2 and 3 received the control feed supplemented with spiruline powder at 0.6 and 1.2%, respectively. Immediately after parturition, blood was collected for analyses of hematological, biochemical, and oxidative stress parameters. Studied parameters included serum concentrations of total proteins, cholesterol, aspartate aminotransferase (ASAT), alanine aminotransferase (ALAT), creatinine, and urea; malondialdehyde, reduced glutathione, catalase, and superoxide dismutase; and hematological parameters. The total protein concentration, number of white and red blood cells, platelets, hemoglobin, hematocrit, and mean corpuscular volume were significantly (P<0.05) higher in does treated compared to control. Oxidative stress parameters were comparable (P>0.05) among treatments. Hence, these results show that feed supplementation with spirulina powder can improve rabbit doe health, notably at 1.2%, since optimal results were obtained at this percentage.
Psychological perspectives in the study of authoritarianism

Different theoretical perspectives have been develo ped within the psychology framework for the analysis of the au thoritarian phenomenon. They constituted some of the background lines of what would afterwards be considered as the field of Poli tical Psychology. The first approach takes place in the late nineteenth a nd early twentieth century’s, along with group psychology, where autho ri arianism is studied as an emergent behavior of crowds. Subsequently, de velopments in authoritarian personality suggest a change in the a nalysis axes by studying the phenomenon in an intra-individual way. A third perspective arises with the cognitive approach, represented by the concept of dogmatism, which emphasized the study of beliefs an d the way in which individuals defend them. Parallel to this approach, advances in the field of Experimental Psychology on obedience, account for t he situation in the authoritarian phenomenon. Later on, the study of au thoritarian personality is taken up once more with the concept of right-wing authoritarianism, which is defined as the individua l differences in the covariation of three attitudinal clusters (authoritar i n submission, authoritarian aggression and conventionalism). Fin ally, the most recent perspective for the study of the phenomenon suggest s r thinking rightwing authoritarianism as an intergroup phenomenon, since its three attitudinal clusters account for a group phenomenon , plus a personality trait. The main objective of this paper is to criti cally review each of the six perspectives which have approached the study of aut horitarianism as psycho-political phenomena, showing its peculiariti es as well as its differences so as to finally consider which of thos e are still acceptable alternatives for the interpretation of this phenome non.
VIP Interneurons: A Key to Cortical Network Regulation in Avoidance Behaviour

VIP Interneurons: A Key to Cortical Network Regulation in Avoidance Behaviour Julia Shield School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia, 4001. This review highlights and summarises the investigations of avoidance behaviour published in the journal Neuron. In the 6th issue of Neuron, Lee et al. (2019) makes an important link between the activity of prefrontal vasoactive intestinal polypeptide interneurons and their contribution to the initiation of avoidance behaviour in mice. Their role in hippocampalprefrontal cortex communication networks allows the integration of specific-inputs to drive complex behaviours which are effectively lost following interneuron inhibition. This review of neurological experimentation aims to recognise the significant role of interneurons in cognitive thought and decision-making patterns like that seen in avoidance behaviour. The ability to avoid certain environments due to foreseeable pressures or potential harm is an evolutionary process that is not yet fully known. Therefore, understanding the cognitive process can help us learn how the brain formulates impressions and judgement in certain environments.
Aqueous Phase Kinetic Studies Involving Intermediates of Environmental Interest: Phosphate Radicals and Their Reactions with Substituted Benzenes

This manuscript describes our research work devoted to the understanding of the aqueous phase reactions of phosphate and polyphosphate radicals. Inorganic phosphate and polyphosphate radicals were generated after photolysis of peroxo-diphosphate, tripolyphosphate and pyrophosphate ions. The reactions of SO4•-radicals with P2O74- and P3O105- are also discussed. The logarithm of the bimolecular rate constants for the reactions of the three phosphate radicals (H2PO4• HPO4•- PO4•2-) with substituted benzenes are discussed in terms of Hammett correlations and a reaction mechanism is proposed. Phenoxyl type radical formation from the reactions of H2PO4• and HPO4•- radicals with phenol, chlorobenzene, and α, α, α-trifluorotoluene (TFT) supports the contribution of an addition pathway yielding a phosphate adduct with the substituted benzene. Additional information on the absorption spectra and decay kinetics of the hydroxycyclohexadienyl radicals of chlorobenzene and TFT is also given.
Serangga 2020, 25(3): 65-92 Wan Najdah et al. SPATIAL DISTRIBUTION, ENZYMATIC ACTIVITY, AND INSECTICIDE RESISTANCE STATUS OF Aedes aegypti AND Aedes albopictus FROM DENGUE HOTSPOT AREAS IN KUALA LUMPUR AND SELANGOR, MALAYSIA

The effectiveness of insecticide-based dengue control interventions is very much influenced by the insecticide resistance status of the mosquito at the targeted areas. This study aims to determine the insecticide resistance status and the enzymatic activity. WHO adult bioassays conducted on Ae. aegypti and Ae. albopictus from 12 dengue hotspots outbreak areas in Kuala Lumpur and Selangor towards insecticides currently and historically used for mosquito control in Malaysia which include two pyrethroids, one organoclorine, one organophosphate and one carbamate. Biochemical enzyme assays were conducted and the activity of enzymes αEsterase, MFO, GST and AChE were examined. Kruskal-Wallis H, Mann-Whitney U and ANOVA test were used to determine the significant difference of the mortality between insecticides and localities, the enzymes activity between the field and the lab strains, and the enzymes activity within all field strains. Ae. aegypti from all sites have developed resistance towards all tested insecticides based on WHO adult bioassays; permethrin, DDT, malathion and propoxur. The result of biochemical enzyme assays demonstrated that the activity of enzymes was altered. α-esterase and MFO were altered in both species from all areas. GST was altered in both species as well except in Ae. albopictus from sites Bandar Rinching and Taman Gombak Setia. AChE was found significantly demoted in Ae. aegypti from Sri Nilam Shah Alam and Ae. albopictus from Flat Sri Labuan Cheras only. The resistance detected might be the result of activity by either single or several enzymes combined. The development of resistance is mainly via metabolic mechanism.
A STUDY TO EVALUATE THE EFFECTIVENESS OF ANTIHYPERTENSIVE DRUGS ON NEWLY DIAGNOSED HYPERTENSIVE PATIENTS IN ASSOCIATION WITH ACE GENE POLYMORPHISM

Background: Essential hypertension is among such lifestyle diseases which are the leading causes of premature deaths around the globe, due to their cardiovascular and kidney disease complications, if remains untreated. Angiotensin converting enzyme gene I/D polymorphism has been found to affect hypertension and the response of antihypertensive therapies. Materials and Methods: This is prospective and cross-sectional study. In Group – A: ACE gene polymorphism in hypertension a) Azilsartan (40-80mg) b) Atenolol (25-100mg) c) Chlorthalidone (12.5-25mg) Result: In our study baseline, systolic blood pressure was 172.31 mmHg Atenolol group, 179.94 mmHg Azilsartan group and in Chlorthalidone was 177.48 mmHg. Baseline Diastolic Blood pressure was 101.43 mmHg in Atenolol group, 103.78 mmHg in Azilsartan group and in Chlorthalidone was 109.59 mmHg. While comparing among 3 groups baseline blood pressure was statistically not significant. After 3 months of treatment with Atenolol group, 163.42 mmHg, in Azilsartan group 167.47 mmHg and in Chlorthalidone was 169.47 mmHg systolic blood pressure. Baseline Diastolic Blood pressure was 98.48 mmHg in Atenolol group, 97.58 mmHg in Azilsartan group and in Chlorthalidone was 98.37 mmHg. While comparing among 3 groups after 3 months blood pressure was statistically significant. Conclusion: Angiotensin Converting Enzyme (ACE) gene polymorphism is linked to isolated systolic hypertension (ISH). Renin-Angiotensin-Aldosterone-System (RAAS) is one of the regulatory systems governing circulation, systemic vascular resistance, and