Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relation between Vitamin D Level and Lung Clearance Index in Cystic Fibrosis—A Pilot Study

Background: Life expectancy has increased in cystic fibrosis (CF) patients; however, the rate of mortality is still high, and in a majority of cases, the cause of death is due to respiratory deterioration. Vitamin D plays an important role in immunity and infection prophylaxis, as its deficiency is associated with frequent infections. In CF patients, a deficit of liposoluble vitamins is common, despite daily supplementation. The aim of this study is to evaluate the relation between vitamin D status and lung function expressed by lung clearance index (LCI) in patients with CF. We also assessed the relation of factors such as nutritional status, genotype, and associated comorbidities such as Pseudomonas infection, cystic fibrosis-related diabetes (CFRD), and cystic fibrosis liver disease (CFLD) with vitamin D and LCI. Methods: A cross-sectional study was conducted at the National Cystic Fibrosis Center by analyzing patients with CF who presented in our center between November 2017 and November 2019. We enrolled in the study patients diagnosed with CF, who were followed up in our CF center and who were able to perform lung function tests. Patients in exacerbation were excluded. Results: A strong negative correlation was found between vitamin D and LCI (r = −0.69, p = 0.000). A lower vitamin D storage was found in patients with CFLD and CFRD. Higher LCI values were found among patients with chronic Pseudomonas infection, with BMI under the 25th percentile, or with associated CFLD. Conclusion: In CF patients, vitamin D plays an important role, and its deficit correlates with an impaired LCI. Vitamin D deficit is a risk factor in patients with associated comorbidities such as CFLD and CFRD. Chronic infection with Pseudomonas, the presence of impaired nutritional status, and CFLD are associated with a prolonged LCI.
Agathis robusta Bark Essential Oil Effectiveness against COVID-19: Chemical Composition, In Silico and In Vitro Approaches

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2), the causative agent of Coronavirus Disease 2019 (COVID-19), has seriously threatened global health. Alongside the approved vaccines, the discovery of prospective anti-COVID-19 drugs has been progressively targeted. Essential oils (EOs) provide a rich source of compounds with valuable antiviral activities that may contribute as effective agents against COVID-19. In this study, the EO of Agathus robusta bark was investigated for its chemical composition and its antiviral activity against SARS-CoV2. Overall, 26 constituents were identified by gas chromatography-mass spectrometry (GC-MS) analysis. α-Pinene, tricyclene, α-terpineol, limonene, d-camphene, trans-pinocarveol, α-phellandren-8-ol, L-β-pinene and borneol were the major components. In silico docking of these constituents against viral key enzymes, spike receptor-binding domain (RBD), main protease (Mpro) and RNA-dependent RNA polymerase (RdRp), using Molecular Operating Environment (MOE) software revealed good binding affinities of the components to the active site of the selected targets, especially, the RBD. In Vitro antiviral MTT and cytopathic effect inhibition assays demonstrated a promising anti SARS-CoV2 for A. robusta bark EO, with a significant selectivity index of 17.5. The results suggested using this EO or its individual components for the protection against or treatment of COVID-19.
Evaluation of Hemp Seed Oils Stability under Accelerated Storage Test

The interest in hemp seed oil has recently increased, due to the latest regulations which allow its use as food. Hemp seed oil is characterized by a high content of polyunsaturated fatty acids, which are highly prone to oxidation. Accelerated thermal oxidation (60 °C, 18 days) has been applied to nine types of cold-pressed hemp seed oils to monitor the evolution of the samples during oxidative deterioration. The results showed that the only determinations of primary (peroxide value) and secondary (TBARs) oxidation products did not allow a sufficient or correct evaluation of the oxidative changes of hemp seed oils during storage. In fact, samples at the end of the test were primarily characterized by a high presence of oxidation volatile compounds and a significant decrease of antioxidants. Several volatiles identified before the accelerated storage, such as the predominant α-pinene and β-pinene, gradually decreased during the accelerated storage period. On the other hand, aldehydes (hexanal, (E)-2-hexenal, heptanal, (E,E)-2,4-hexadienal, (E)-2-heptenal, (E,E)-2,4-heptadienal, (E,Z)-2,4-heptadienal, 2-octenal, nonanal, nonenal, 2,4-nonadienal, (E,E)- 2,4-decadienal and 2,4-decadienal), ketones (1-octen-3-one, 3-octen-2-one, (E,E)-3,5-octadien-2- one and 3,5-octadien-2-one), acids (propionic acid, pentanoic acid, hexanoic acid and heptanoic acid) and 2-pentyl-furan increased during the accelerated storage, as principal markers of oxidation.
Urban Residents’ Acceptance Intention to Use Recycled Stormwater—An Examination of Values, Altruism, Social and Cultural Norms, and Perceived Health Risks

Public acceptance is the basic premise for the implementation of stormwater reuse projects anywhere in the world. Based on the theory of planned behaviour, this study constructed a hypothesized model of urban residents’ intention to use recycled stormwater for non-potable residential purposes. Having received 669 valid questionnaires from urban residents in Taiyuan City, a Structural Equation Model was used to analyze their acceptance intention to use recycled stormwater. Results of the study showed that the degree of human contact with recycled stormwater influenced respondents’ acceptance intention to use it for that purpose, which is consistent with previous studies. The impact of factors, including valuation of stormwater, emotions, perceived health risks, or trust in government, on respondents’ acceptance intention to use recycled stormwater was found to be not significant, which adds to the inconsistent literature. The unique contributions of the study to literature include that altruism and social and cultural norms were found to have significantly positive impacts on residents’ acceptance intention to use the water, while social and cultural norms demonstrated a more significant impact. This finding is perceived to relate to the collectivism of Chinese culture; however, to what extent the relation could be requires further research to verify. The study also makes contributions to methodology by using social networking (WeChat Moments) to collect data in social science studies.
Immunomodulatory and Antitumoral Activity of Gold Nanoparticles Synthesized by Red Algae Aqueous Extracts

This study reports on the green and cost-efficient synthesis of gold nanoparticles from three different red algae extracts. The nanoparticles synthesized were fully characterized by UV-Vis spectroscopy, HRTEM, and Z-potential. Relevant components occurring in the extracts, such as polysaccharides or phenolic content, were assessed by analytical techniques such as spectrophotometric assays and liquid chromatography. Finally, the antioxidant, antitumoral, and anti-inflammatory potential of both the extracts and the gold nanoparticles synthesized were analyzed in order to determine a possible synergistic effect on the nanoparticles. The results obtained confirmed the obtainment of gold nanoparticles with significant potential as immunotherapeutic agents. The therapeutic potential of these nanoparticles could be higher than that of inert gold nanoparticles loaded with bioactive molecules since the former would allow for higher accumulation into the targeted tissue.
SARS-CoV-2 infection related mortality and comorbidities in a dedicated COVID-19 facility: A record based analysis from Uttar Pradesh

Background: In India, on 30th January 2020, the first case of COVID-19 was reported, thereafter country has faced two waves with disastrous second wave. A total of about 34 million cases and 4.68 lakh deaths have been reported so far from India. Few studies have reported death rate as 5.7% among COVID-19 patients with at least one co-existing medical condition, as compared to 0.7% in patients without any comorbidity. Aims and Objectives: We aim to analyze the death audit data of 467 COVID-19 death cases considering factors of age, gender, area of residence, cause of death, related comorbidities, and relation with duration of hospital stay and presence or absence of comorbidity in COVID-19 death cases. Materials and Methods: This is an observational study from April 2020 to July 2021which is based on records obtained from death audit reports of a dedicated COVID-19 facility at a tertiary hospital, Agra, Uttar Pradesh. The state authorities introduced a standard “COVID-19 Death Audit Proforma” on a death audit portal to audit all deaths related from COVID-19 (SARS-CoV-2) infection. Statistical analysis used: The data were recorded in Microsoft Excel and analyzed using statistical software, Microsoft Excel (Version 16.49). The results are presented accordingly in form of descriptive statistics. Results: We have reported findings from 467 COVID-19 deaths from our dedicated COVID-19 facility in the present study. Median age of deceased was found to be 57 years with (71.9%) deaths in males, with predominantly 77.1% of patients residing in urban area. 74% of COVID-19 deaths were reported along with one or more comorbid illness at the time of admission with hypertension to be the most common comorbid disease (42.9%) followed by diabetes (34.5%). Median length of hospital stay is reported as 4 days. Conclusion: Our analysis from Uttar Pradesh dedicated COVID-19 facility found that comorbidities were present invariably in 74% of deaths from SAR-CoV-2 infection. Early diagnosis and timely aggressive management is pillar for reducing morbidity and mortality from COVID-19 disease.
An Efficient Dynamic Solution for the Detection and Prevention of Black Hole Attack in VANETs

Rapid and tremendous advances in wireless technology, miniaturization, and Internet of things (IoT) technology have brought significant development to vehicular ad hoc networks (VANETs). VANETs and IoT together play a vital role in the current intelligent transport system (ITS). However, a VANET is highly vulnerable to various security attacks due to its highly dynamic, decentralized, open-access medium, and protocol-design-related concerns. Regarding security concerns, a black hole attack (BHA) is one such threat in which the control or data packets are dropped by the malicious vehicle, converting a safe path/link into a compromised one. Dropping data packets has a severe impact on a VANET’s performance and security and may cause road fatalities, accidents, and traffic jams. In this study, a novel solution called detection and prevention of a BHA (DPBHA) is proposed to secure and improve the overall security and performance of the VANETs by detecting BHA at an early stage of the route discovery process. The proposed solution is based on calculating a dynamic threshold value and generating a forged route request (RREQ) packet. The solution is implemented and evaluated in the NS-2 simulator and its performance and efficacy are compared with the benchmark schemes. The results showed that the proposed DPBHA outperformed the benchmark schemes in terms of increasing the packet delivery ratio (PDR) by 3.0%, increasing throughput by 6.15%, reducing the routing overhead by 3.69%, decreasing the end-to-end delay by 6.13%, and achieving a maximum detection rate of 94.66%.
Attributions of Evapotranspiration and Gross Primary Production Changes in Semi-Arid Region: A Case Study in the Water Source Area of the Xiong'an New Area in North China

Investigating the attributions of evapotranspiration (ET) and gross primary production (GPP) changes is of great importance for regional, sustainable water resources and ecological management in semi-arid regions. Based on the simulation conducted during 2000–2019 by improving water-carbon coupling Distributed Time Variant Gain Model, the trends of ET and GPP were estimated and the driving factors were identified via 10 experimental scenarios in the water source area of the Xiong’an New Area in North China. The results show significant increases both in ET and GPP by 2.4 mm/a and 6.0 gC/m2/a in the region, respectively. At the annual scale, increasing precipitation dominates the ET uptrend. Air temperature, humidity and the interactive effects also contribute to the ET uptrend, and the contributions are 12.8%, 2.0% and 2.3%, respectively, while elevated atmospheric CO2 concentration (eCO2) and solar dimming lead to ET changes of about −7.2% and −12.4%, respectively. For the GPP changes, the increase in GPP is mainly caused by eCO2, increasing precipitation and rising temperature with the contributions of 56.7%, 34.8% and 27.8%, respectively. Solar dimming, humidity and windspeed contribute −6.8%, −4.8% and −3.5% of the GPP changes. Compared to climate change, land use and cover change has smaller effects on both ET and GPP for the few changes in land coverage. At the seasonal scale, ET and GPP increase to a greater extent during the growing season in spring and summer than in autumn and winter. Precipitation, temperature and eCO2 are generally the main causes for ET and GPP changes. Meanwhile, the decreasing humidity and rising temperature are dominant factors for ET and GPP increases, respectively, in winter. Furthermore, solar dimming has strong effects on ET reduction in autumn. The contribution of the interactive effects is much higher on a seasonal scale than annual scale, contributing to considerable decreases in ET and GPP in spring, increases in ET in autumn and winter, and an increase in GPP in winter. This study highlights the importance of considering water-carbon coupling on the attributions of ET and GPP changes and the differentiation of the effects by the abovementioned influential factors at annual and seasonal scales.
A New SNPs at 3’UTR Region of calpain 1 gene and its association with growth and meat quality traits in beef cattle

The objective of this study was to evaluate single nucleotide polymorphisms (SNP) in the 3'UTR region of CAPN1 gene by direct sequencing technique in beef cattle and its influence on growth and meat quality of the contrast mode ultrasound image in Bali cattle. The numbers of beef cattle used were Bali cattle (n=52 heads) which compared to purebred Belgian Blue (n=30 heads), Limousine (n=14 heads), Wagyu (n=7 heads), and PO (n=10 heads). Genetic diversity data were obtained from calculations by PopGen 1.32 software. Ultrasound imaging of the thoracic longissimus dorsi muscle in Bali cattle was carried out between the 12 − 13 ribs, and the sonogram was analyzed by Image-J NIH software. The result shown that 3’UTR of CAPN1 gene was found in six discovery SNPs that polymorphic in Bali cattle, they were g.15284 C>T, g.15347 T>G, g.15525 G>A, g.15853 G>A, g.15905 G>A, g.15915 G>A and Indel mutation was polymorphic in Bali cattle, Belgian Blue, Limousine, and PO. There was no association between these SNPs and growth traits. However, SNP g.15525 G>A was significantly associated (P<0.05) with a backfat thickness (BFT) in Bali cattle. In conclusion, the CAPN1 gene in Bali cattle is a candidate for Marker Assisted Selection (MAS) related to meat quality.
Trends in In-Hospital Cardiopulmonary Resuscitation from 2010 through 2019: A Nationwide Cohort Study in South Korea

We aimed to examine recent trends in in-hospital cardiopulmonary resuscitation in South Korea from 2010 to 2019. A population-based sample of all adult patients who experienced in-hospital cardiopulmonary resuscitation between 1 January 2010 and 31 December 2019, was included. In all, 298,676 patients who received in-hospital cardiopulmonary resuscitation were included in the survival analysis. In 2010, 60.7 per 100,000 adults experienced in-hospital cardiopulmonary resuscitation. A similar rate was observed until 2015. The rate increased to 83.5 per 100,000 adults in 2016 and gradually increased to 92.1 per 100,000 adults in 2019. Among all patients, 78,783 (26.2%) were discharged alive after in-hospital cardiopulmonary resuscitation. The 6-month and 1-year survival rates were 9.8% and 8.7%, respectively. In 2010, the mean total cost of hospitalization was USD 5822.80 (United States Dollar) (standard deviation; SD: USD 7493.4), which increased to USD 7886.20 (SD: USD 13,071.6) in 2019. The rate of in-hospital cardiopulmonary resuscitation and cost of care have significantly increased since 2010, while the 6-month and 1-year rates of survival post in-hospital resuscitation remain low.
“It Is a Whole Different Life from the Life I Used to Live”: Assessing Parents’ Support Needs in Paediatric Palliative Care

Aims: This feasibility study aimed to systematically identify and address the support needs of parents of children with life-limiting illnesses and to assess whether the systematic approach was acceptable and relevant to parents. Methods: The CSNAT (Paediatric) intervention consisted of two assessment visits with the paediatric palliative care team, 2–8 weeks apart, comprising conversations about sources for support in a tertiary children hospital in Western Australia (2018–2019). Audio-recorded telephone interviews were conducted with parents, and inductive thematic analysis was undertaken. Results: All 28 parents who were involved in the intervention agreed to be interviewed. Five themes summarised their experience: caregiving challenges, perceived gaps and feelings of isolation; the usefulness and practicality of the systematic assessment; emotional responses to self-reflection; feelings of validation and empowerment; and received supports responsive to their needs. Conclusions: Parents appreciated the value of this systematic approach in engaging them in conversations about their needs and solutions to address them. While clinical service support was affirmed by parents, they were left wanting in other areas of practical, psychosocial, and emotional support. Palliative care services need to build stronger partnerships with supportive community networks through compassionate communities volunteer models of care to address the non-clinical needs of these families.
The Use of Proton Pump Inhibitors and COVID-19: A Systematic Review and Meta-Analysis

COVID-19 has proved to be a serious, and consequential disease that has affected millions of people globally. Previously, the adverse effects of proton pump inhibitors (PPI) have been observed with increasing the risk of pneumonia and COVID-19. This meta-analysis aims to address the relationship between the use of PPI and the severity of COVID-19 infection. We conducted a systemic literature search from PUBMED, Science Direct, and Cinahl from December 2019 to January 2022. Published and unpublished randomized control trials and cohort studies were included. Review Manager was used for all statistical analyses. In total, 14 studies were included in this systemic review and meta-analysis. Outcomes of interest include: (1) susceptibility of COVID-19 infection and (2) severity of COVID-19 (defined as the composite of poor outcomes: ICU admission, need for oxygen therapy, need for a ventilator, or death), and (3) mortality due to COVID-19. PPI use was marginally associated with a nominal but statistically significant increase in the risk of COVID-19 infection (OR 1.05 [1.01, 1.09]; I2 97%, p = 0.007). PPI use also increased the risk of the composite poor outcome (OR 1.84 [1.71, 1.99]; I2 98%, p < 0.00001) and mortality (OR 1.12 [1.00, 1.25]; I2 84%, p = 0.05) in patients with COVID-19.
ERGONOMICS AND FUNCTIONAL REQUIREMENT IN THE DESIGN OF STUDENTS’ FURNITURE IN MOSHOOD ABIOLA POLYTECHNIC ABEOKUTA NIGERIA

A total of five hundred and fifty students were randomly selected in three schools of engineering; communication; science and technology. The existing furniture dimensions were measured. The maximum and minimum table height was determined. The results showed seat heights as compared with the students body sizes are expected to be in the range of 33.85 cm and 36.54 cm. Table height is expected to be in the range of 61.08 cm and 64.48 cm. The study concluded that data on the anthropometric dimension of students are provided and this could be used as database for the planning of future furniture in the lecture rooms.
Assessing asymmetric determinants of commodity-level exports: the role of policy responses to the COVID-19 pandemic

ABSTRACT This paper explores the economic consequences of non-pharmaceutical government intervention to curb disease spread on Indian commodity-level exports. This is the first study to assess the export implications of the pandemic using a panel linear as well as a novel non-linear ARDL framework. Our results show that pandemic-related stringencies have a positive effect on Indian exports in the long-run. This result holds valid for domestic as well export destination countriesʻ stringencies. However, our evidence suggests that reducing stringencies has a more dominating effect on Indian exports than tightening of stringencies. Also, stringencies and uncertainty impact exports adversely in the short-run. Furthermore, pandemic-related financial uncertainty is found to have a dampening effect on exporting. Our results also show a significant asymmetric impact of policy responses on exports, especially for agriculture and manufacturing commodities, while mineral products are relatively less impacted.
The Application of Hyperspectral Remote Sensing Imagery (HRSI) for Weed Detection Analysis in Rice Fields: A Review

Weeds are found on every cropland across the world. Weeds compete for light, water, and nutrients with attractive plants, introduce illnesses or viruses, and attract harmful insects and pests, resulting in yield loss. New weed detection technologies have been developed in recent years to increase weed detection speed and accuracy, resolving the contradiction between the goals of enhancing soil health and achieving sufficient weed control for profitable farming. In recent years, a variety of platforms, such as satellites, airplanes, unmanned aerial vehicles (UAVs), and close-range platforms, have become more commonly available for gathering hyperspectral images with varying spatial, temporal, and spectral resolutions. Plants must be divided into crops and weeds based on their species for successful weed detection. Therefore, hyperspectral image categorization also has become popular since the development of hyperspectral image technology. Unmanned aerial vehicle (UAV) hyperspectral imaging techniques have recently emerged as a valuable tool in agricultural remote sensing, with tremendous promise for weed detection and species separation. Hence, this paper will review the weeds problem in rice fields in Malaysia and focus on the application of hyperspectral remote sensing imagery (HRSI) for weed detection with algorithms and modelling employed for weeds discrimination analysis.