Miracle-dz/UniFAR-FTUs huggingface dataset:
Progress of InGaN Light Emitting Diodes on SiC

OSRAM Opto Semiconductors, Wernerwerkstrasse 2, 93049 Regensburg, Germany(Received July 22, 2002; accepted October 1, 2002)PACS: 73.40. Kp; 78.20. Ci; 85.60. BtWe present brightness improvements of blue InGaN chips on SiC substrates. Chip shape, perfor-mance of the contacts, high structural quality of the InGaN quantum well layers are essential foran optical output as high as 9.5 mW at 470 nm and 20 mA. The external quantum efficiency is18%. The light extraction out of the chip is increased to 55% as calculated by a ray trace simula-tion. This is the highest value ever reported on InGaN chips, which are conventionally mountedwith epitaxial layers upside. The optimized chip side walls have vertical angles of 60 . The reflec-tivity at the p-contact is increased to 90% for flat angles of 0 to 20 . An internal quantumefficiency of 32% is estimated from the values of light extraction and external quantum efficiency.The epitaxial layers are improved by optimizing the growth parameters of the quantum wells inter-faces. Electrical losses are reduced by better interface quality of epitaxial layers and by animproved p-contact resistance of 10
Nutrient resorption efficiency of three tree species in Beijing plain afforestation and its C:N:P stoichiometry

Elucidating variability in nutrient resorption and carbon (C), nitrogen (N) and phosphorus (P) stoichiometry is important for holistically understanding plant approaches to nutrient adaption. However, the patterns of these phenomena in afforested regions of the Beijing Plain have been ignored. Herein, we assessed patterns of leaf and litter C, N, and P stoichiometry and nutrient resorption in Robinia pseudoacacia L. , Ailanthus altissima (Mill.) Swingle, and Salix matsudana Koidz. forests in afforested areas in Beijing, China. We found that the plantation growth of R. pseudoacacia and S. matsudana was mainly limited by P nutrients. Both the N and P in the fresh leaves of R. pseudoacacia were significantly higher than those in the fresh leaves of S. matsudana and A. altissima, indicating that the N resorption efficiency (NRE) of R. pseudoacacia was higher. However, the P resorption efficiency (PRE) was significantly correlated with the leaf P nutrients in the R. pseudoacacia and A. altissima forests. Except for the significant correlation between the N content of fresh leaves and the AN content in soil, there were no significant correlations between the leaf C, N and P contents and the contents of these nutrients in the soil. These results suggested that of the factors studied, leaf P stoichiometry and PRE were more responsive indicators of the afforestation area on the Beijing Plain. Together, our data indicated that P deficiency is an important factor for the forests on the Beijing Plain and that the ability of afforested areas to adapt to barren land through nutrient resorption is gradually weakened and the N and P nutrient preservation ability is reduced over time. We thus clarified the nutrient resorption and leaf P and N patterns for the three forests studied. The findings have important implications for the application of P fertilizer, which must be conducted in a timely fashion to ensure that nutrient addition meets the nutritional needs of the plants.
Multiphysics simulation of piezoresistive pressure microsensor using finite element method

In this study, the electro-mechanical behavior of a specially designed highsensitive piezoresistor pressure microsensor was simulated using finite element method, through COMSOL multiphysics software. The mechanical deformation of the diaphragm and the distribution of electrical potential in the piezoresistive were evaluated for various pressure values. In order to determine the influence of the temperature sensitivity parameter, different temperature conditions were investigated. According to the obtained results, by increase of the applied pressure, the resistance of the piezoresistor decreased, while, the sensitivity increased. Also, it was observed that at constant pressure, as the temperature increases, the stress on the diaphragm surface decreases, indicating high stress distribution at the sides and the middle of the diaphragm at low temperatures such as -50 °C. Furthermore, the obtained results demonstrated that temperature variations were not very effective on the potential distribution in the piezoresistor. However, the temperature coefficient of sensitivity demonstrated an increasing tendency with increase of the temperature from -50 °C to 50 °C.
Proceed With Caution

Virtually, no published research is available on the relationship between employing newly graduated nurses (NGNs) in the emergency department (ED) and the advancing of nursing practice and the optimization of patient care outcomes. Traditionally, nurses hired into these practice areas have required advanced skills in clinical assessment and experience with a variety of situations that were assumed to offer them a framework by which they could recognize and respond to potentially life-threatening changes in a patient's status. This qualitative study explored the issues of integrating NGNs into the ED. Findings clearly established the challenges to integrating NGNs into this practice context. The intersection of variables included a low level of clinical predictability accompanied by high acuity; an increased level of practitioner autonomy combined with high levels of risk when applying decision making to patient outcomes; and the potential for devolution of professional identity in the face of highly intense, morally conflicted, and socially nuanced care situations.
Issue Introduction: The Effectiveness of Fiction and Activism within Critical Animal Studies

The contradictions present in the documentary form and the epistemological content of Thalia Field’s book, Experimental Animals (2016), attempts to model a more accurate understanding of modern reality. By choosing to use the vivisection debate as content and “reality fiction” as a form, Field invites readers to consider the problematic way in which we make and chose our truths. The dichotomous relationships in Experimental Animals mimic the necessary contradiction in the justification for vivisection and create what I term the “proximity paradox”: One must recognize and accept a human likeness to an animal to use it for the advancement of the understanding of human physiology, but at the same time one must distance themselves from the animal, marking them as Other, to lawfully perform the brutal task. In a similar vein, one must recognize the document as something that is close enough to reality to justify its production, but at the same time must distance oneself from the document to receive a more accurate representation of reality. Distance functions paradoxically, then, when considering the epistemological relationship between vivisection and the uses of documents to create knowledge.
Nasal nebulization inhalation of budesonide for chronic rhinosinusitis with nasal polyps

Abstract Background: Chronic rhinosinusitis and nasal polyps (CRNP) is a common public health concern for general population, and is thought to negatively impact their quality of life. Although previous studies have reported that nasal nebulization inhalation of budesonide (NNIB) can benefit patients with such condition, its conclusions are still inconsistent. Thus, this study will assess the efficacy and safety of NNIB for the treatment of CRNP. Methods: To identify any associated studies, we will comprehensively and systematically search Cochrane Library, PubMed, EMBASE, Web of Science, PsycINFO, Cumulative Index to Nursing and Allied Health Literature, Allied and Complementary Medicine Database, Chinese Biomedical Literature Database, and China National Knowledge Infrastructure. We will search all electronic databases from inception to the present with no limitations of language and publication status. Two independent reviewers will undertake selection of study, data collection, and study quality evaluation, respectively. Another reviewer will help to settle down any different opinions between both of them. Study quality will be checked using Cochrane risk of bias tool, and statistical analysis will be performed using RevMan 5.3 software. Results: This study will assess the efficacy and safety of NNIB for the treatment of CRNP through assessing primary outcomes of nasal symptoms and polyp sizes, and secondary outcomes of serum cortisol levels, health-related quality of life, and any expected and unexpected adverse events. Conclusion: The results of this study will summarize the up-to-date evidence on assessing the efficacy and safety of NNIB for the treatment of CRNP. Study registration number: INPLASY202040108.
Campus Push, Location, Context, Policy Driven Push Notification Application for Mobile Devices

 Abstract — This paper aims to capture the need for Context aware services and policy driven methods in a College campus. With an attempt to replace the traditional methods being followed for attendance, notifications etc., this paper gives a view of the application that would facilitate attendance tracking, update about library books status, automatic download of lab plans, timetable, results through push notifications based on user location and time. Thus, we propose a mobile application for College Campus smart space named as Campus Push.
The effect of mobility restrictions on the SARS-CoV-2 diffusion during the first wave: what are the impacts in Sweden, USA, France and Colombia.

Combined with sanitation and social distancing measures, control of human mobility has quickly been targeted as a major leverage to contain the spread of SARS-CoV-2 in a great majority of countries worldwide. The extent to which such measures were successful, however, is uncertain (Gibbs et al. 2020; Kraemer et al. 2020). Very few studies are quantifying the relation between mobility, lockdown strategies and the diffusion of the virus in different countries. Using the anonymised data collected by one of the major social media platforms (Facebook) combined with spatial and temporal Covid-19 data, the objective of this research is to understand how mobility patterns and SARS-CoV-2 diffusion during the first wave are connected in four different countries: the west coast of the USA, Colombia, Sweden and France. Our analyses suggest a relatively modest impact of lockdown on the spread of the virus at the national scale. Despite a varying impact of lockdown on mobility reduction in these countries (83% in France and Colombia, 55% in USA, 10% in Sweden), no country successfully implemented control measures to stem the spread of the virus. As observed in Hubei, it is likely that the virus had already spread very widely prior to lockdown; the number of affected administrative units in all countries was already very high at the time of lockdown despite the low testing levels. The second conclusion is that the integration of mobility data considerably improved the epidemiological model (as revealed by the QAIC). If inter-individual contact is a fundamental element in the study of the spread of infectious diseases, it is also the case at the level of administrative units. However, this relational dimension is little understood beyond the individual scale mostly due to the lack of mobility data at this scale. Fortunately, these types of data are getting increasingly provided by social media or mobile operators, and they can be used to help administrations to observe changes in movement patterns and/or to better locate where to implement disease control measures such as vaccination
Colchicine use in patients with COVID-19: A systematic review and meta-analysis

Introduction: Colchicine may inhibit inflammasome signaling and reduce proinflammatory cytokines, a purported mechanism of COVID-19 pneumonia. The aim of this systematic review and meta-analysis is to report on the state of the current literature on the use of colchicine in COVID-19 and to investigate the reported clinical outcomes in COVID-19 patients by colchicine usage. Methods: The literature was searched from January 2019 through January 28, 2021. References were screened to identify studies that reported the effect of colchicine usage on COVID-19 outcomes including mortality, intensive care unit (ICU) admissions, or mechanical ventilation. Studies were meta-analyzed for mortality by the subgroup of trial design (RCT vs observational) and ICU status. Studies reporting an odds ratio (OR) and hazard ratio (HR) were analyzed separately. Results: Six studies, reporting on 5,033 patients, were included in this review. Across the six studies, COVID-19 patients who had colchicine had a lower risk of mortality - HR of 0.25 (95% CI: 0.09, 0.66) and OR of 0.36 (95% CI: 0.17, 0.76). Among the three observational studies, COVID-19 patients who received colchicine had a lower risk of mortality - HR of 0.25 (95% CI: 0.09, 0.66) and OR of 0.21 (95% CI: 0.06, 0.71). Among three randomized controlled trials, the summary point estimate suggests a direction toward benefit in mortality that is not statistically significant among patients receiving colchicine versus placebo - OR of 0.49 (95% CI: 0.20, 1.24). Conclusion: Colchicine may reduce the risk of mortality in individuals with COVID-19. Further prospective investigation is warranted to determine the efficacy of colchicine as treatment in COVID-19 patients in various care settings of the disease.
Diffusion kurtosis imaging of white matter in bipolar disorder

Objectives: White matter pathology is thought to contribute to the pathogenesis of bipolar disorder (BD). However, most studies of white matter in BD have used the simple diffusion tensor imaging (DTI) model, which has several limitations. DTI studies have reported heterogenous results, leading to a lack of consensus about the extent and location of white matter alterations. Here, we applied two advanced diffusion magnetic resonance imaging (MRI) techniques to investigate white matter microstructure in BD. Methods: Twenty-five patients with BD and 24 controls comparable for age and sex were included in the study. Whole-brain voxel-based analysis (VBA) and a network-based connectivity approach using constrained spherical deconvolution (CSD)-tractography were used to assess group differences in diffusion kurtosis imaging (DKI) and DTI metrics. Results: VBA showed lower mean kurtosis in the corona radiata and posterior association fibers in BD following threshold-free cluster enhancement. Regional differences in connectivity were indicated by lower mean kurtosis and kurtosis anisotropy in streamlines traversing the temporal and occipital lobes, and lower mean axial kurtosis in the right cerebellar, thalamo-subcortical pathways in BD. Significant differences were not seen in the DTI metrics following FDR-correction. Conclusions: Differences between BD and controls were observed in DKI metrics in multiple brain regions, indicating altered connectivity across cortical, subcortical and cerebellar areas. DKI was more sensitive than DTI at detecting these differences, suggesting that DKI is useful for investigating white matter in BD.
iOLSR: OLSR for WSNs Using Dynamically Adaptive Intervals

—Proactive link state routing protocols, as used within the Mobile Ad hoc NETwork framework, have not been as successful in wireless sensor networks. This is mainly due to the extensive energy usage by control trafﬁc transmissions and state requirements. However, such protocols are in many situations a more suitable candidate than their counterparts. The beneﬁts are their topology overview, and more importantly the already available spanning trees for information distribution. The high signaling overhead associated with proactive protocols can be reduced by taking advantage of the static nature of wireless sensor networks. In this paper, we investigate how the Optimized Link-State Routing (OLSR) protocol, as a proactive routing protocol candidate, can be adapted to work better in a wireless sensor network environment. The basis for the solution is that control messages are sent with a low frequency when the network is stable, and more often if topology changes occur. The proposed solution is investigated using simulations from no loss to lossy link environments showing promising results.
Exogenous glutathione-mediated tolerance to deficit irrigation in salt-affected Capsicum frutescence (L.) plants is connected with higher antioxidant content and ionic homeostasis

As an important medicinal plant used in traditional and modern medicine, chili peppers are sensitive or moderately sensitive to drought or salt stress, respectively. Therefore, potential changes due to foliar-applied glutathione (GSH; 0, 0.4 and 0.8 mM) response on growth, yield, and physio-biochemical attributes, as well as water use efficiency (WUE) and fruit alkaloid capsaicin of chili pepper plants were investigated when grown under deficit irrigation in salt-affected soil (EC = 6.74 dS m–1). Two deficit irrigation water (DiW) regimes (80% and 60% of soil field capacity; FC) were used versus 100% of FC as a control. Both DiW treatments negatively affected growth and yield parameters, SPAD chlorophyll index, nutrient status, K+/Na+ ratio, and plant anatomical features. In contrast, osmoprotectants, ascorbate, glutathione, capsaicin, and phenolic contents, as well as WUE were increased in association with higher Na+ and Cl– contents. However, exogenously-applied GSH caused significant increases in the above-mentioned parameters along with an additional increase in osmoprotectants, antioxidants, and capsaicin contents, and a decrease in Na+ and Cl– levels compared to corresponding controls. The highest WUE, growth, and fruit yield responses were recorded at 0.8 mM GSH applied to plants under DiW at 80% FC + salinity (6.74 dS m–1). Therefore, this study suggested the use of leafy-applied GSH at 0.8 mM for satisfactory growth and yield with the highest WUE of chili pepper plants grown under salt-affected conditions with deficit irrigation.
Performance Evaluation of improved QADA-KF and JPDAF for Multitarget Tracking in Clutter

—This paper presents a performance evaluation of two types of multi-target tracking algorithms: 1) classical Kalman Filter based algorithms for multi-target tracking improved with Quality Assessment of Data Association (QADA) method using optimal data association, and 2) the Joint Probabilistic Data Association Filter (JPDAF). QADA technique is improved by using new basic belief assignment (bba) modelling, and also modified by means of the new Belief interval distance applied for computing the quality indicator associated with the pairings in the optimal data association solution. The evaluation is based on Monte Carlo simulations for maneuvering multiple-target tracking (MTT) problem in clutter.
Computing Complex Temporal Join Queries Efficiently

This paper studies multi-way join queries over temporal data, where each tuple is associated with a valid time interval indicating when the tuple is valid. A temporal join requires that joining tuples' valid intervals intersect. Previous work on temporal joins has focused on joining two relations, but pairwise processing is often inefficient because it may generate unnecessarily large intermediate results. This paper investigates how to efficiently process complex temporal joins involving multiple relations. We also consider a useful extension, durable temporal joins, which further selects results with long enough valid intervals so they are not merely transient patterns. We classify temporal join queries into different classes based on their computational complexity. We identify the class of r-hierarchical joins and show that a linear-time algorithm exists for a temporal join if and only it is r-hierarchical (assuming the 3SUM conjecture holds). We further propose output-sensitive algorithms for non-r-hierarchical joins. We implement our algorithms and evaluate them on both synthetic and real datasets.
Induced resistance mitigates the effect of plant neighbors on susceptibility to herbivores

At small spatial scales, attraction or deterrence of herbivores by plant neighbors can alter the susceptibility of plants to damage (i.e., associational effects). Given the patchy nature of plants and insect herbivory, we hypothesized that induced resistance may play an important role in mitigating such spatial variability. To test this notion, we first documented neighbor effects between two closely related and co-occurring plant species in natural populations, and second, we measured how these effects changed after inducing plant resistance in a common garden. In wet fields and marshes of Northeastern North America, boneset (Eupatorium perfoliatum) is the primary host for the herbivorous beetle Ophraella notata. Across two years of surveys at multiple sites, we found that Joe Pye weed (Eutrochium maculatum) was a secondary host to O. notata and was more likely to receive beetle eggs when it grew near boneset, constituting a negative neighbor effect (associational susceptibility) for Joe Pye weed. Reciprocally, there were trends of reduced susceptibility for boneset when it grew near Joe Pye weed (a positive neighbor effect), but this pattern was less consistent over space and time. In the common garden, we manipulated patches, each with a center (focal) and surrounding (neighbor) plants, with focal plants of each species either induced by the plant hormone jasmonic acid or left as controls. While neighbor effects prior to induction mirrored the pattern in surveys, induction was most effective in reducing beetle oviposition on focal plants in heterospecific groups. This effectively eliminated negative neighbor effects (susceptibility) for Joe Pye weed, the less preferred plant species. However, in conspecific patches, induction had minimal effect on either species’ susceptibility to beetles. Given the importance of spatial variation generally and the ubiquity of neighbor effects in plant communities, we suggest that inducible resistance may be an important mechanism to cope with spatial heterogeneity in susceptibility to herbivores.
Effect of Computer-Assisted Teaching (Cat) Regarding the Prevention of Malnutrition Among The Health Workers Working In Selected Community Health Centers

: Background: Malnutrition is due to an unbalanced or inadequate diet. Mostly Preschoolers are more prone to affected by malnutrition. 7 out of 10 children in the community are malnourished. The lack of proper education and training in the field of nutrition among health care professionals has been a longstanding issue that has been highlighted in various publications. Health workers play an important role in promoting growth and development of children and to prevent malnutrition. Objectives: To find out the effect of computer-assisted teaching among the health workers of selected community health centers regarding the prevention of malnutrition. Methods: pre-experimental (one group pre-test post-test) design was used. Convenient type of sampling technique was used to select fifty no. of health workers of selected CHC of Bhubaneswar, Odisha as study sample and Self-structure questionnaire was used to collection of information. Result: Analysis is revealed that computer-assisted teaching improved the knowledge of health workers regarding the prevention of malnutrition (before intervention 39.93±11.86 & after intervention 77.66±7.76) significantly as calculated “t” value is 32.19 & calculated p-value was ˂0.0001 which is less than 0.05 level of significance. A statistically significant association was there in between the knowledge level with sociodemographic variables such as educational qualification & exposure to nutritional program. Conclusion: On the finding of the study, it was found that computer-assisted teaching is more practical in upgrading the knowledge of health workers on prevention of malnutrition which ultimately can improve the health status of children and prevent malnutrition.