Miracle-dz/UniFAR-FTUs huggingface dataset:
Basophil Activation to Gluten and Non-Gluten Proteins in Wheat-Dependent Exercise-Induced Anaphylaxis

Wheat-dependent exercise-induced anaphylaxis (WDEIA) is a cofactor-induced wheat allergy. Gluten proteins, especially ω5-gliadins, are known as major allergens, but partially hydrolyzed wheat proteins (HWPs) also play a role. Our study investigated the link between the molecular composition of gluten or HWP and allergenicity. Saline extracts of gluten (G), gluten with reduced content of ω5-gliadins (G-ω5), slightly treated HWPs (sHWPs), and extensively treated HWPs (eHWPs) were prepared as allergen test solutions and their allergenicity assessed using the skin prick test and basophil activation test (BAT) on twelve patients with WDEIA and ten controls. Complementary sodium dodecyl-sulfate polyacrylamide gel electrophoresis (SDS-PAGE), high-performance liquid chromatography (HPLC), and mass spectrometry (MS) analyses revealed that non-gluten proteins, mainly α-amylase/trypsin inhibitors (ATIs), were predominant in the allergen test solutions of G, G-ω5, and sHWPs. Only eHWPs contained gliadins and glutenins as major fraction. All allergen test solutions induced significantly higher %CD63+ basophils/anti-FcεRI ratios in patients compared with controls. BAT using sHWPs yielded 100% sensitivity and 83% specificity at optimal cut-off and may be useful as another tool in WDEIA diagnosis. Our findings indicate that non-gluten proteins carrying yet unidentified allergenic epitopes appear to be relevant in WDEIA. Further research is needed to clarify the role of nutritional ATIs in WDEIA and identify specific mechanisms of immune activation.
Cardiomyocyte Atrophy, an Underestimated Contributor in Doxorubicin-Induced Cardiotoxicity

Left ventricular (LV) mass loss is prevalent in doxorubicin (DOX)-induced cardiotoxicity and is responsible for the progressive decline of cardiac function. Comparing with the well-studied role of cell death, the part of cardiomyocyte atrophy (CMA) playing in the LV mass loss is underestimated and the knowledge of the underlying mechanism is still limited. In this review, we summarized the recent advances in the DOX-induced CMA. We found that the CMA caused by DOX is associated with the upregulation of FOXOs and “atrogenes,” the activation of transient receptor potential canonical 3-NADPH oxidase 2 (TRPC3-Nox2) axis, and the suppression of IGF-1-PI3K signaling pathway. The imbalance of anabolic and catabolic process may be the common final pathway of these mechanisms. At last, we provided some strategies that have been demonstrated to alleviate the DOX-induced CMA in animal models.
Correlates of Academic Performance in Online Higher Education: A Systematic Review

The existing steady and continual rise of online learning in higher education has been accelerated by COVID-19 and resulted in a move away from solely on-campus teaching. Prior to the pandemic, online education was providing higher education to students who were returning to study to up-skill, are employed full-time, caring for family members, living rurally or remotely and/or for whom otherwise face-to-face campus learning was not a preference or option. To understand how we can better support online students in their unique circumstances and create an optimal learning environment, we must understand the factors associated with academic achievement within an online setting. This systematic review involved a search of relevant databases published between January 2009 and May 2021 examining factors and constructs related to academic performance in online higher education settings. Across 34 papers, 23 (67.6%) explored factors and constructs related to student characteristics including cognitive and psychological, demographic, university enrolment, and prior academic performance. Twenty-one (61.8%) papers explored learning environment factors including engagement, student experience, course design, and instructor. Our overall synthesis of findings indicates that academic performance in online learning is most strongly associated with motivation (including self-efficacy), and self-regulation. We propose three main implications of our review for online learning stakeholders such as educators and designers. Firstly, we argue that the wellbeing of online learners is important to understand, and future research should explore its impact on students’ experience and success in online higher education. Secondly, we emphasise the importance of developing and designing online courses utilising relevant frameworks and evidence-based principles. Finally, we propose an approach to promoting improved student cognitive and psychosocial experiences (such as self-efficacy, self-regulation, and perceived support) could be achieved by creating and incorporating an online learning orientation module at the commencement of enrolment. Systematic Review Registration: (website), identifier (registration number).
Editorial: Working Towards a Blue Future: Promoting Sustainability, Environmental Protection and Marine Management: Examples from the UK Government Blue Belt Programme and Current International Initiatives

Citation: Whomersley P, Bell J, Clingham E, Collins MA, Feary DA, Stockill J, Weber S, Yates O and Bamford K (2022) Editorial: Working Towards a Blue Future: Promoting Sustainability, Environmental Protection and Marine Management: Examples from the UK Government Blue Belt Programme and Current International Initiatives. Front. Mar. Sci. 9:861632. doi: 10.3389/fmars.2022. 861632 Editorial: Working Towards a Blue Future: Promoting Sustainability, Environmental Protection and Marine Management: Examples from the UK Government Blue Belt Programme and Current International Initiatives
Finding Effective and Efficient Ways to Integrate Research Advances Into the Clinical Suicide Risk Assessment Interview

Research in clinical suicidology continues to rapidly expand, much of it with implications for day-to-day clinical practice. Clinicians routinely wrestle with how best to integrate recent advances into practice and how to do so in efficient and effective fashion. This article identifies five critical domains of recent research findings and offers examples of simple questions that can easily be integrated into a clinician's existing suicide risk assessment interview and related protocol helping inform the risk formulation process.
Overexpression of FcεRI on Bone Marrow Mast Cells, but Not MRGPRX2, in Clonal Mast Cell Disorders With Wasp Venom Anaphylaxis

Background Uncertainties remain about the molecular mechanisms governing clonal mast cell disorders (CMCD) and anaphylaxis. Objective This study aims at comparing the burden, phenotype and behavior of mast cells (MCs) and basophils in patients with CMCD with wasp venom anaphylaxis (CMCD/WVA+), CMCD patients without anaphylaxis (CMCD/ANA-), patients with an elevated baseline serum tryptase (EBST), patients with wasp venom anaphylaxis without CMCD (WVA+) and patients with a non-mast cell haematological pathology (NMHP). Methods This study included 20 patients with CMCD/WVA+, 24 with CMCD/ANA-, 19 with WVA+, 6 with EBST and 5 with NMHP. We immunophenotyped MCs and basophils and compared baseline serum tryptase (bST) and both total and venom specific IgE in the different groups. For basophil studies, 13 healthy controls were also included. Results Higher levels of bST were found in CMCD patients with wasp venom anaphylaxis, CMCD patients without anaphylaxis and EBST patients. Total IgE levels were highest in patients with wasp venom anaphylaxis with and without CMCD. Bone marrow MCs of patients with CMCD showed lower CD117 expression and higher expression of CD45, CD203c, CD63, CD300a and FcεRI. Within the CMCD population, patients with wasp venom anaphylaxis showed a higher expression of FcεRI as compared to patients without anaphylaxis. Expression of MRGPRX2 on MCs did not differ between the study populations. Basophils are phenotypically and functionally comparable between the different patient populations. Conclusion Patients with CMCD show an elevated burden of aberrant activated MCs with a significant overexpression of FcεRI in patients with a wasp venom anaphylaxis.
Molecular Mechanisms of Immunosenescene and Inflammaging: Relevance to the Immunopathogenesis and Treatment of Multiple Sclerosis

Aging is characterized, amongst other features, by a complex process of cellular senescence involving both innate and adaptive immunity, called immunosenescence and associated to inflammaging, a low-grade chronic inflammation. Both processes fuel each other and partially explain increasing incidence of cancers, infections, age-related autoimmunity, and vascular disease as well as a reduced response to vaccination. Multiple sclerosis (MS) is a lifelong disease, for which considerable progress in disease-modifying therapies (DMTs) and management has improved long-term survival. However, disability progression, increasing with age and disease duration, remains. Neurologists are now involved in caring for elderly MS patients, with increasing comorbidities. Aging of the immune system therefore has relevant implications for MS pathogenesis, response to DMTs and the risks mediated by these treatments. We propose to review current evidence regarding markers and molecular mechanisms of immunosenescence and their relevance to understanding MS pathogenesis. We will focus on age-related changes in the innate and adaptive immune system in MS and other auto-immune diseases, such as systemic lupus erythematosus and rheumatoid arthritis. The consequences of these immune changes on MS pathology, in interaction with the intrinsic aging process of central nervous system resident cells will be discussed. Finally, the impact of immunosenescence on disease evolution and on the safety and efficacy of current DMTs will be presented.
Dual Band-notched Ultra-wideband Antenna with Single Complementary Split Ring Resonator

A swallow-tailed planar ultra-wideband antenna with dual band-notched characteristics realized by complementary split-ring resonator(CSRR) was proposed for that UWB system was liable to be interfered with the narrow-band signals.Compared with the antenna reported,this method used only a single CSRR instead of two of which and realized the dual band-notched characteristics of the swallow-tailed UWB antenna,which simplified the complexity of the design and easy to be fabricated.The proposed antenna was fabricated and measured,and the measuring result was in good agreement with the simulation results.
Fault Diagnosis of Analog Circuit Based on PCA and PNN

In order to solve the problem with identification of fault in analog circuit,a fault diagnosis method for analog circuits was proposed based on principal component analysis(PCA)and probabilistic neural network(PNN). In this technique,PCA was applied to extract features of the collected information about fault in analog circuit,and the extracted fault features were normalized and input into PNN for training and identification of classified fault modes.Experimental results showed that this method was effective and had higher fault diagnosis rate.
Drivers and impacts of changes in aquatic ecosystems

The Science Panel for the Amazon is an unprecedented initiative convened under the auspices of the United Nations Sustainable Development Solutions Network (SDSN). The SPA is composed of over 200 preeminent scientists and researchers from the eight Amazonian countries, French Guiana, and global partners. These experts came together to debate, analyze, and assemble the accumulated knowledge of the scientific community, Indigenous peoples, and other stakeholders that live and work in the Amazon. The Panel is inspired by the Leticia Pact for the Amazon. This is a first-of-its-kind Report which provides a comprehensive, objective, open, transparent, systematic, and rigorous scienti fic assessment of the state of the Amazon’s ecosystems, current trends, and their implications for the long-term well-being of the region, as well as opportunities and policy relevant options for conservation and sustainable development. Abstract The Amazon’s aquatic ecosystems are being destroyed and threats to their integrity are projected to grow in number and intensity. In this chapter we review a number of these threats. Hydroelectric dams (307 existing or under construction) have changed almost every aspect of Amazonian aquatic ecosystems, and many more dams are planned (239), posing threats to the region’s enormous aquatic biodiversity and fisheries resources. By blocking fish migrations dams affect important commercial species, as well as the flow of sediments and nutrients that sustain aquatic food chains and support fish populations. By altering stream flows and flooding regimes, dams and their reservoirs also disrupt downstream ecosystems, ecosystem impacts that are the subject of this chapter, the extraordinarily great social impacts of Amazonian dams (Chapter 14) lead to the same conclusion. Fortunately, countries like Brazil have abundant undevel-oped wind and solar potential.
FACE RECOGNITION SYSTEM: A REVIEW

A face recognition system is capable of verifying the human from a scanned image or frames from video. Face recognition systems select the face features and compare with the features of scanned image stored in database. It is a technology designed to verify the identity of the person using physical or behavioural characteristics and has been widely used in authentication systems. Due to increasing applications which need security, physical features like finger prints, face, hand geometry, iris, palm prints retina and the behavioural features like voice, typing rhythm and gait are used to recognize a person in today’s authentication system. As compared to all other Recognition system, face is the most natural way to recognize the person because it solves the problem of non-universality. This paper presents functionality, literature survey and application of face recognition system.
Procedural Knowledge Search by Intelligence Analysts

Prior studies have explored the information-seeking practices of specific professional communities, including lawyers, physicians, engineers, recruiters, and government workers. In this research, we investigate the information-seeking practices of intelligence analysts (IAs) employed by a U.S. government agency. Specifically, we focus on the needs, practices, and challenges related to IAs searching for procedural knowledge using an internal system called the Tradecraft Hub (TC Hub). The TC Hub is a searchable repository of procedural knowledge documents written by agency employees. Procedural knowledge (as opposed to factual and conceptual knowledge) includes knowledge about step-by-step procedures, techniques, methods, tools, technologies, and skills, and is inherently task-oriented. We report on a survey study involving 22 IAs who routinely use the TC Hub. Our survey was designed to address four research questions. In RQ1, we investigate the types of work-related objectives that motivate IAs to search the TC Hub. In RQ2, we investigate the types of information IAs seek when they search the TC Hub. In RQ3, we investigate important relevance criteria used by IAs when judging the usefulness of information. Finally, in RQ4, we investigate the challenges faced by IAs when searching the TC Hub. Based on our findings, we discuss implications for improving and extending searchable knowledge base systems such as the TC Hub that exist in many organizations.
ENGAGEMENT, EDUCATION AND SUSTAINABILITY A REVIEW ESSAY ON ENVIRONMENTAL ACCOUNTING

Environmental accounting (EA)[1] research has emerged over the last 20 years as a distinct thread of academic research within the broader area of social accounting (see, e.g. AAA, 1975; Belkaoui, 1984; Dierkes and Preston, 1977; Estes, 1976; Gray, 1990; Gray, Bebbington and Walters, 1993; Gray, Owen and Adams, 1996; Gray, Owen and Maunders, 1987; Guthrie and Parker, 1989a, 1989b; Johnson, 1976; Parker, 1986; Ullman, 1976). At the core of social and environmental accounting (SEA) research activity are two concerns:
ACCUMULATION OF HEAVY METALS IN SUNFLOWER SEEDLINGS UNDER THE INFLUENCE OF CADMIUM STRESS

Steady trend of recent decades is the rapid growth of soil pollution by heavy metals. Metals that do not play a significant role in plant life are particularly dangerous, but they can accumulate in plants and migrate along the food chain. Cadmium is one of such elements, its half-life from the human body is more than 50 years. For breeding programs aimed at creating varieties with low levels of cadmium accumulation, it is important to understand the role of genotype in the processes of metal intake to different parts of plants. An experiment was carried out to study the growth and absorption of trace metallic elements (TMEs) in Sunflower (Helianthus annuus L.) seedlings under Cd stress. The research was done on selection samples of sunflower selected by the method of vegetation evaluation in Sumy NAU in 2018. According to the evaluation results, line 62\3 was characterized by low, and line JB231AC – high level of resistance to cadmium accumulation. In 2020, the seeds of the samples were reseeded at the Henan Institute of Science and Technology. Sunflower seedlings (20-day-old) grown in plastic containers with Hogland’s solution were investigated. From uniformly and well-developed plants were formed 4 samples which were for 7 days in a solution of CdCl2 * 2.5 H20 with a concentration of 0; 25; 50 and 100 μM. Ashing of the samples was performed in nitric acid. Determination of metal content was performed on an atomic adsorption spectrophotometer. In all samples there was a steady trend to decrease plant height and total seedling weight with increasing cadmium concentration. In the case of dried parts of plants, statistically significant, leveling the difference between the samples, the effect of cadmium was detected at a concentration of 50 μm or more for the dry matter of roots and at a concentration of 100 μm for the mass of the aboveground part. It was found that the threshold concentration that provided a significant difference between the cadmium content in the roots and stems was 100 μm. Compared to sample JB231AC, sample 64\2 had a higher cadmium content in the roots by 23 % and 12 % in the aboveground part. With respect to Li, Ni, and Sr, a significant difference between the samples was mostly observed at a concentration of 25 and 50 μM. The accumulation concentration of lithium (Li) and nickel (Ni) in high Cd variety 62\3 was lower than that in low Cd variety JB231AC. The Li and strontium (Sr) concentration in the root were similar to that in the aboveground part under Cd stress, while Ni accumulated in root of JB231AC in slightly higher concentrations than that in aboveground part. The presence of an inverse relationship between the concentration of cadmium and the concentrations of lithium and nickel may indicate both the genotypic features of their transport and the presence of antagonism between the accumulation of these metals. However, this statement requires further research.
Quality improvement of NH1X36B pre-printed boxwith QM–CRISP DM approach at PT X (Peningkatan kualitas NH1X36B pre-printed box dengan pendekatan QM-CRISPDMdi PT X)

PT X is a manufacturer of cardboard box whose products are indispensable for various fields. The problem identified in NH1X36B pre-printed box, which is a shoes box, is the high defect rate that exceed company target of 2%. This study aims to reduce the defect rate of the product. The Quality-Management (QM) and Cross Industry Standard Process for Data Mining (CRISP-DM) approach was conducted by integrating Six Sigma and data mining. The Business Understanding phase was intended to define business and data mining objectives, SIPOC (Supplier-InputProcess-Output-Customer) diagram, and Critical-to-Quality (CTQ). In Data Understanding phase, it is known that the Defects Per Million Opportunities (DPMO) value is 1210.12. Data preparation phase was carried out with data cleaning, reduction, and discretization. Based on the Modeling result using Decision Tree C4.5 and FP-Growth algorithm, it is known that the dominant attributes causing high rejection are smeared ink, white spots, uneven varnish, and delamination. Decision Tree model accuracy of 90.24% indicates that the model is performing well. Analysis using FMEA yielded priority correction to the causes of smeared ink, uneven varnish, and delamination. Process improvement in Deployment phase was the application of plate cleaning and mounting form, printing process checklist, and SOP for sheet inspection. The improvement plans managed to improve the quality by rising sigma level from 4.533 to 4.648 sigma and decrease defect rate to 1.559%.
Redesigning Education through Online Classes during COVID-19 Pandemic

: The COVID-19 pandemic which is also known as the corona virus disease has been spread across the world through acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The outbreak of COVID-19 was identified in Wuhan, China, in December 2019. The horrifying and petrifying impact of the outbreak of COVID-19 has shaken the world globally. The World Health Organization declared the outbreak a Public Health Emergency of International Concern on 30 January, and a pandemic (an epidemic that's spread over multiple countries) on 11 March, 2020. Due to this crisis, a phased lockdown by maintaining the norms for social distancing has been followed by many countries in order to save lives of their citizens. To fight COVID-19, different countries are making their best efforts to slow the spread of the virus by testing and treating patients, carrying out contact tracing, limiting travel, quarantining citizens, and cancelling large gatherings such as sporting events, concerts, and schools. India also eme rged as a great fighter in slowing down the outbreak of COVID-19 by implementing social distancing, lock down, improved health care facilities and awareness programmes. The Coronavirus disease 2019 (COVID-19) pandemic is creating unprecedented challenges in India among different sectors at every level of organization. Education sector is also affected to a great extent by COVID-19 Pandemic. Therefore, sensing the possible threat of COVID-19 pandemic and to slow down its outbreak, the Union Government declared a countrywide lock-down of schools and colleges On 16 March, 2020. As a result, the schools and colleges in India on the directions of higher authorities made many changes in their teaching, assessment and evaluation system. The implementation of lockdown by closing all the academic organizations in India affected all learners ranging from primary level to higher level. As a result a strong need of moving from face to face learning to online learning has emerged. This paradigm shift in teaching and learning process may be termed as mobile ubiquitous learning. Presently, teaching-learning process is moving online, but on an untested and unprecedented scale. All the academic events, assessments and other related chores are also moving online, with a lot of trial and error and uncertainty for everyone.Noticeably, such interruptions and obtrusions are not a matter of short time, rather will have lasting effect for the affected cohorts. This article is an effort to highlight the challenges, pros and cons of online classes by redesigning the educational pursuit.
NONPARAMETRIC ESTIMATION OF X Y WITH LAPLACE ERROR DENSITIES

We survey the nonparametric estimation of the probability   : X Y    when two random variables X and Y are observed with additional errors. Specifically, from the noise versions 1,. , n X X   of X and 1,. , m Y Y   of , Y we introduce an estimator ̂  of  and then establish the mean consistency for the suggested estimator when the error random variables have the Laplace distribution. Next, using some further assumption about the condition of the densities X f of X and Y f of , Y we then derive the convergence rate of the root mean square error for the estimator.