ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Use of chronically occluded fistula to establish access outflow

Maintaining a good quality vascular access in the long term can become particularly challenging especially in patients that are on dialysis for many years and present with exhausted venous capital and chronic access related complications. We present a 60-year-old female patient with multiple bilateral previous failed accesses, a previous distal revascularization interval ligation (DRIL) for hemodialysis access induced distal ischemia (HAIDI). Her chronically (more than a month) occluded arteriovenous fistula AVF was used to establish outflow and create a functioning forearm arteriovenous graft (AVG).
New optimal design for a hybrid solar chimney, solid oxide electrolysis and fuel cell based on improved deer hunting optimization algorithm

In recent years, renewable energy resources such as wind and solar energy have been considered as the main alternative to fossil fuels due to their benefits such as economic benefits, low environmental pollution, and renewable power generation. The solar chimney is one of these alternatives with a simple structure that can be adopted for generating easy and clean energy. The application of solar chimney in desert areas of the Yazd city with high-intensity solar radiation is efficient and environmentally friendly. Due to the low efficiency of the solar chimney in the night times, a combined configuration has been proposed by considering the solid oxide fuel cell and solid oxide electrolysis cell for storing the surplus energy as Hydrogen for the night times. The paper also presents a developed version of deer hunting optimization algorithm to optimal designing of the economic aspect of the power plant. Simulation results are applied to two different seasons for more analysis and the results of the optimal system are compared with genetic algorithm (GA) and particle swarm optimization algorithm (PSO) to show the system efficiency. The results showed that 0.16 kg/s hydrogen is produced at the peak of the radiation in a district of Yazd city. The results also show the decreasing the loss value based on optimal economical designing gives 1,192,000,000$, 1,190,000,000$, and 8,645,000,000$ cost for the GA and PSO, and the proposed improved deer hunting optimization algorithm, respectively. It also shows that the energy generated by the presented configuration in the summer is higher than the winter. (C) 2019 Elsevier Ltd. All rights reserved.
Reinvestigating the pollution haven hypothesis: the nexus between foreign direct investments and environmental quality in G-20 countries

One of the most commonly debated concerns regarding foreign direct investment inflows is the associated environmental adversities that accompany the influx of foreign funds. As a result, assessing the environmental impacts of foreign direct investment inflows is necessary for achieving environmentally friendly economic growth in the contemporary era. Accordingly, the global economies including the members of the Group of Twenty (G-20) should focus on attracting clean foreign direct investments. Against this backdrop, controlling for energy consumption and urbanization, this extant study scrutinizes the effects of foreign direct investment inflows on the carbon dioxide emission figures of selected G-20 countries between 1992 and 2018. The econometric analysis conducted in this paper involves recently developed methods that are efficient in handling cross-sectionally dependent heterogeneous panel data sets. Besides, the analysis is also conducted for sub-panels of high-, upper-middle-, and lower-middle-income G-20 countries to evaluate the possible heterogeneous environmental effects across the G-20 countries belonging to different income levels. Overall, the results highlight that higher foreign direct investment inflows surge carbon dioxide emissions whereby the pollution haven hypothesis is evidenced to hold for the G-20 nations of concern. Similarly, both at the aggregated and disaggregated levels, greater consumption of energy is witnessed to boost carbon dioxide emissions in the long run. Moreover, urbanization is found to trigger carbon dioxide emissions for the G-20 nations overall and the lower-middle-income G-20 nations. Further, the causality analysis reveals that carbon dioxide emissions have bidirectional causal relationships with foreign direct investment inflows, energy consumption, and urbanization. In line with these major findings, this study recommends that the governments of the G-20 countries inhibit inflows of dirty foreign direct investments, reduce fossil fuel dependency, and adopt green urbanization policies for achieving higher economic growth without marginalizing environmental well-being.
Vitamin D deficiency is associated with higher risks for SARS-CoV-2 infection and COVID-19 severity: a retrospective case-control study

Robust evidence of whether vitamin D deficiency is associated with COVID-19 infection and its severity is still lacking. The aim of the study was to evaluate the association between vitamin D levels and the risks of SARS-CoV-2 infection and severe disease in those infected. A retrospective study was carried out among members of Clalit Health Services (CHS), the largest healthcare organization in Israel, between March 1 and October 31, 2020. We created two matched case-control groups of individuals for which vitamin D levels and body mass index (BMI) were available before the pandemic: group (A), in which 41,757 individuals with positive SARS-CoV-2 PCR tests were matched with 417,570 control individuals without evidence of infection, and group (B), in which 2533 patients hospitalized in severe condition for COVID-19 were matched with 2533 patients who were tested positive for SARS-CoV-2, but were not hospitalized. Conditional logistic models were fitted in each of the groups to assess the association between vitamin D levels and outcome. An inverse correlation was demonstrated between the level of vitamin D and the risks of SARS-CoV-2 infection and of severe disease in those infected. Patients with very low vitamin D levels (< 30 nmol/L) had the highest risks for SARS-CoV-2 infection and also for severe COVID-19 when infected-OR 1.246 [95% CI 1.210-1.304] and 1.513 [95% CI 1.230-1.861], respectively. In this large observational population study, we show a significant association between vitamin D deficiency and the risks of SARS-CoV-2 infection and of severe disease in those infected.
Evaluation of Effect of Biologically Synthesized Ethanolic Extract of Propolis-Loaded Poly(-Lactic-co-Glycolic Acid) Nanoparticles on Wound Healing in Diabetic Rats

Wound healing is interaction of a complex cascade of cellular/biochemical actions leading to restoration of structural and functional integrity with regain of injured tissues strength. This study was aimed at evaluation of application of ethanolic extract of propolis-loaded poly(-lactic-co-glycolic acid) nanoparticles (EEP-PLGA NPs) on wound healing in diabetic rats. Sixty rats were randomized into four groups of 15 rats each: In control group (Control) diabetic wound was treated with normal saline. In Carrier 1 group diabetic wound was treated with PLGA nanoparticles based solution. In Carrier 2 group the diabetic wound was treated with EEP. In Treatment group animals received EEP-PLGA NPs on the wound. Wound size was measured on 7, 14 and 21 days after surgery. The expression of p53, bcl-2, Caspase III, were evaluated using reverse-transcription PCR and Immunohistochemical staining. The Treatment group had significantly reduced the wound size compared to other groups (P = 0.001). histological and morphometric studies, and mean rank of the qualitative studies demonstrated that there was significant difference between Treatment group and other groups (P < .05). Observations demonstrated that ethanolic extract of propolis-loaded PLGA nanoparticles significantly shortened the inflammatory phase and accelerated the cellular proliferation. Accordingly, the animals in Treatment group revealed significantly (P < .05) higher fibroblast distribution/one mm2 of wound area and rapid re epithelialization. The mRNA levels of bcl-2, p53 and caspase III were remarkably (P < .05) higher in Treatment group compared to control and animals. The immunohistochemical analyzes confirmed the RT-PCR findings. EEP-PLGA NPs offered potential advantages in wound healing acceleration and improvement through angiogenesis stimulation, fibroblast proliferation and granulation tissue formation in early days of healing phases, acceleration in diabetic wound repair associated with earlier wound contraction and stability of damaged area by rearrangement of granulation tissue and collagen fibers.
Archerfish number discrimination

Debates have arisen as to whether non-human animals actually can learn abstract non-symbolic numerousness or whether they always rely on some continuous physical aspect of the stimuli, covarying with number. Here, we investigated archerfish (Toxotes jaculatrix) non-symbolic numerical discrimination with accurate control for covarying continuous physical stimulus attributes. Archerfish were trained to select one of two groups of black dots (Exp. 1: 3 vs 6 elements; Exp. 2: 2 vs 3 elements); these were controlled for several combinations of physical variables (elements' size, overall area, overall perimeter, density, and sparsity), ensuring that only numerical information was available. Generalization tests with novel numerical comparisons (2 vs 3, 5 vs 8, and 6 vs 9 in Exp. 1; 3 vs 4, 3 vs 6 in Exp. 2) revealed choice for the largest or smallest numerical group according to the relative number that was rewarded at training. None of the continuous physical variables, including spatial frequency, were affecting archerfish performance. Results provide evidence that archerfish spontaneously use abstract relative numerical information for both small and large numbers when only numerical cues are available.
The source control effect of personal protection equipment and physical barrier on short-range airborne transmission

In order to control the spread of Covid-19, authorities provide various prevention guidelines and recommendations for health workers and the public. Personal protection equipment (PPE) and physical barrier are the most widely applied prevention measures in practice due to their affordability and ease of implementation. This study aims to investigate the effect of PPE and physical barriers on mitigating the short-range airborne transmission between two people in a ventilated environment. Four types of PPE (surgical mask, two types of face shield, and mouth visor), and two different sizes of the physical barrier were tested in a controlled environment with two life-size breathing thermal manikins. The PPE was worn by the source manikin to test the efficiency of source control. The measurement results revealed that the principles of PPE on preventing short-range droplet and airborne transmission are different. Instead of filtering the fine droplet nuclei, they mainly redirect the virus-laden exhalation jet and avoid the exhaled flow entering the target's inhalation region. Physical barriers can block the spreading of droplet nuclei and create a good micro environment at short distances between persons. However, special attention should be paid to arranging the physical barrier and operating the ventilation system to avoid the stagnant zone where the contaminant accumulates.
Open-source data-driven urban land-use mapping integrating point-line-polygon semantic objects: A case study of Chinese cities

Reliable urban land-use maps are essential for urban analysis because the spatial distribution of land use reflects the complex environment of cities under the combined effects of nature and socio-economics. In recent years, very high resolution (VHR) remote sensing imagery interpretation has resolved the "semantic gap" between the low-level data and the high-level semantic scenes, and has been used to map urban land use. Nevertheless, the existing frameworks cannot easily be applied to practical urban analysis, which can be attributed to three main reasons: 1) the indistinguishable socio-economic attributes of the same ground object layouts; 2) the weak transferability of the supervised frameworks and the time-consuming training sample annotation; and 3) the category system inconsistency between the data source and the urban land-use application. In this paper, to achieve an "application gap" breakthrough for urban land-use mapping, a data-driven point, line, and polygon semantic object mapping (PLPSOM) framework is proposed, which makes full use of open-source VHR images and multi-source geospatial data. In the PLPSOM framework, point, line, and polygon semantic objects are represented by the points of interest (POIs), OpenStreetMap (OSM) data, and VHR images corresponding to the scenes in the land-use mapping units, respectively. OSM line semantic objects are utilized to supply the boundaries of the land-use mapping units for the POIs and VHR images, forming urban land parcels (street blocks). To reduce the cost of the data annotation, the training dataset is constructed using multiple open-source data sources. An enhanced deep adaptation network (EDAN) is then proposed to acquire the categories of the VHR scene images in the case of partial transfer learning. Finally, in order to meet the actual needs, a rule-based category mapping (RCM) model is applied to integrate the categories of the POIs and VHR images into the urban land-use category system, allowing us to acquire the land-use maps of the cities. The effectiveness of the proposed method was tested in four cities of China, including six specific areas: Beijing and Wuhan city centers; the Hanyang District of Wuhan; the Hannan District of Wuhan; Macao; and the Wan Chai area of Hong Kong, achieving a high classification accuracy. The "urban image" analysis confirmed the practicality of the obtained urban land-use maps.
Insecticidal effects of a novel polyherbal formulation (HF7) against Culex pipiens L. (Diptera: Culicidae)

Plant secondary metabolites represent the most efficient and convenient method to control and overcome environmental pollution and insecticidal resistance. This study explored the mosquitocidal activity of the combined extract of seven plants, (HF7) extracted using a Soxhlet extractor against Culex pipiens under laboratory conditions. Exposure of the 3rd instars of Cx. pipiens to HF7 hexane extract resulted in LC50:114.5 μg/mL and LC90:117.0 μg/mL values after 24 h. The ovicidal activities of hexane extract against Cx. pipiens eggs were 21.6%, 48.3%, and 71.6% at 187.5, 93.7, and 46.88 μg/mL, respectively. HF7-treated larvae showed the formation of irregular blebbing of epithelial cells toward the lumen and sloughing into the gut lumen. HF7 extract resulted in 100% adulticidal mortality at the concentration of 3.7 mg/test tube after 30 min of exposure. The IC50 of HF7 extract was 97.03 µg/ml against larvae, at which nuclear and morphological changes were observed. The spectroscopy spectrum of HF7 hexane extract disclosed the presence of 57 different secondary metabolites, among which the dominant compound was eugenol (32.3%). HF7 hexane extract could serve as a botanical insecticide for controlling Cx. pipiens and potentially other mosquito species.
Extracellular flux analyses reveal differences in mitochondrial PBMC metabolism between high-fit and low-fit females

Analyzing metabolism of peripheral blood mononuclear cells (PBMCs) can possibly serve as a cellular metabolic read-out for lifestyle factors and lifestyle interventions. However, the impact of PBMC composition on PBMC metabolism is not yet clear, neither is the differential impact of a longer-term lifestyle factor versus a short-term lifestyle intervention. We investigated the effect of aerobic fitness level and a recent exercise bout on PBMC metabolism in females. PBMCs from 31 young female adults divided into a high-fit (V̇o2peak ≥ 47 mL/kg/min, n = 15) and low-fit (V̇o2peak ≤ 37 mL/kg/min, n = 16) groups were isolated at baseline and overnight after a single bout of exercise (60 min, 70% V̇o2peak). Oxygen consumption rate (OCR) and glycolytic rate (GR) were measured using extracellular flux (XF) assays and PBMC subsets were characterized using fluorescence-activated cell sorting (FACS). Basal OCR, FCCP-induced OCR, spare respiratory capacity, ATP-linked OCR, and proton leak were significantly higher in high-fit than in low-fit females (all P < 0.01), whereas no significant differences in glycolytic rate (GR) were found (all P > 0.05). A recent exercise bout did not significantly affect GR or OCR parameters (all P > 0.05). The overall PBMC composition was similar between high-fit and low-fit females. Mitochondrial PBMC function was significantly higher in PBMCs from high-fit than from low-fit females, which was unrelated to PBMC composition and not impacted by a recent bout of exercise. Our study reveals a link between PBMC metabolism and levels of aerobic fitness, increasing the relevance of PBMC metabolism as a marker to study the impact of lifestyle factors on human health.NEW & NOTEWORTHY Mitochondrial metabolism was significantly higher in PBMCs from high-fit than from low-fit females. This was unrelated to PBMC composition and not impacted by a recent bout of exercise. Our study reveals a link between PBMC metabolism and levels of aerobic fitness, increasing the relevance of PBMC metabolism as a marker to study the impact of lifestyle factors on human health.
Worldwide geographical mapping and optimization of stand-alone and grid- connected hybrid renewable system techno-economic performance across Koppen-Geiger climates

In the last years, a significant interest in research in stand-alone (SA) and grid-connected (GC) photovoltaic (PV)-wind hybrid renewable energy systems (HRES) is observed for their complementary in the satisfaction of the electrical energy demand in many sectors. However, direct comparisons between the techno-economic performance of two system modes under the same operating conditions are rarely carried out. Additionally, most of the researches are limited to specific weather conditions. This work aims to bridge the lack of this type of investigations providing a worldwide techno-economic mapping and optimization of SA and GC PV-wind HRES to supply the electrical demand of an office building district. For this purpose, energy and economic optimization problems were formulated to find the optimal SA and GC systems worldwide among 343 HRES system power configurations located in 48 different localities, uniformly divided in the sub-group of the Koppen classification. The energy reliability and economic profitability of optimal systems were geographically mapped worldwide. In general, the energy or economic optimizations of SA HRES do not lead to highly profitable systems; instead, feed-in-tariff to sell the energy in excess assures viable GC HRES in many localities. However, economically optimal SA and GC HRES, respectively, do not everywhere comply with the threshold value of 70% of the satisfied energy required by the load and are characterized by a high level of energy exchanged with the grid. The study highlighted that the most suitable climate conditions to install a SA HRES are: (i) Toamasina (Madagascar) from an energy point of view, with 76% of load satisfied and 76% of the energy generated utilized [GRAPHICS] to supply the load; (ii) Cambridge Bay (Canada) from an economic point of view, with 11.1% of the capital cost recovered each year; instead, the most suitable climate conditions to install a GC HRES are: (iii) New Delhi (India) from an energy point of view, with 48% of energy exchanged with the grid per each kWh required by the load; (iv) Lihue (Hawaii, United States) from an economic point of view, with 24.3% of the capital cost recovered each year.
Toxicological effects of active and inert ingredients of imazethapyr formulation Verosil® against Scenedesmus vacuolatus (Chlorophyta)

Imazethapyr, a selective systemic herbicide, is widely used in agriculture and it is frequently detected in water bodies close to application areas. Like other agrochemicals, imazethapyr is commercialized in formulations containing a mixture of additives that increase the effectiveness of the active ingredient. These complex mixtures may cause adverse effects on non-target primary producers, such as microalgae, when they reach freshwater bodies. The aim of this study was to assess the effects, separately, of the formulation Verosil®, the formulation additives, and technical-grade imazethapyr, in the acidic form or as ammonium salt, on the microalga Scenedesmus vacuolatus (Chlorophyta). Verosil®, formulation additives, and acid imazethapyr significantly inhibited the growth of S. vacuolatus (Verosil® > formulation additives > acid imazethapyr) and caused morphological alterations from 2 mg L-1, 4 mg L-1, and 60 mg L-1 onwards, respectively. Verosil® and formulation additives caused the most adverse effect including membrane disorganization, cytoplasm contraction, cell wall thickening, thylakoidal membrane disaggregation, and starch granule accumulation. In addition, Verosil® and formulation additives increased the chl a/chl b ratio, indicating possible alterations in photosystems as a stress response. The carotene/chl a ratio was also increased in microalgae exposed to both Verosil® and formulation additives, suggesting an antioxidant response to these toxic compounds. All these results support the hypothesis that the formulation additives contribute significantly to the toxicity and alterations caused by the commercial formulation Verosil® on S. vacuolatus.
Renewable energy consumption and economic growth nexus: Evidence from a threshold model

The existing literature on renewable energy consumption and economic growth nexus produces mixed results as the effect of renewable energy consumption on economic growth can be either positive, negative or not significant. This paper examines the causal link between renewable energy use and economic growth by employing a threshold model using a 103-country sample in the 1995 to 2015 period. We find that the relationship between renewable energy consumption and economic growth depends on the amount of renewable energy used. Our results demonstrate that the effect of renewable energy consumption on economic growth is positive and significant if and only if developing countries or non-OECD countries surpass a certain threshold of renewable energy consumption. However, if developing countries use renewable energy below a given threshold level, the effect of renewable energy consumption on economic growth is negative. However, we also find that renewable energy consumption has no significant effect on economic growth in developed countries and a positive and significant effect on economic growth in OECD countries. The findings of this paper suggest that for developing countries to realize positive economic growth from their investment to renewable energy, they need to surpass a certain threshold of renewable energy consumption.