Miracle-dz/UniFAR-FTUs huggingface dataset:
Opening of BKCa channels causes migraine attacks: a new downstream target for the treatment of migraine.

ABSTRACT Migraine is a common and frequently disabling neurological disorder, but the initiating migraine mechanisms are still poorly understood. Potassium channel opening may cause migraine, and we therefore examined the migraine-inducing effect of MaxiPost, a large (big)-conductance calcium-activated potassium (BKCa) channel opener, on migraine induction and cephalic vasodilation in individuals with migraine. Twenty-six patients with migraine without aura were randomly allocated to receive an infusion of MaxiPost or placebo on 2 study days separated by at least 1 week. The primary endpoint was the difference in incidence of migraine attacks after MaxiPost compared with placebo. The secondary endpoints were the difference in incidence of headaches and the difference in area under the curve for headache intensity scores (0-12 hours), for middle cerebral artery blood flow velocity (VMCA) (0-2 hours), and for superficial temporal artery and radial artery diameter. Twenty-two patients completed the study. Twenty-one of 22 (95%) developed migraine attacks after MaxiPost compared with none after placebo (P < 0.0001); the difference of incidence is 95% (95% confidence interval 86%-100%). The incidence of headache over the 12-hour observation period was higher after MaxiPost day (n = 22) than after placebo (n = 7) (P < 0.0001). We found a significant increase of VMCA and superficial temporal and radial arteries' diameter. Because BKCa channel opening initiates migraine attacks, we suggest that BKCa channel blockers could be potential candidates for novel antimigraine drugs.
An exploration of potential growth pathways of social innovations in rural Europe

This paper explores the range of expansion/development/growth pathways (or scaling) that might occur with social innovations, with reference to social innovation in rural areas. It explores the lack of a clear conceptualization of both social innovation as a phenomenon and the possible growth and expansion pathways that might arise. Based on a survey of the diverse literature on the expansion/development/growth pathways of social innovations, and illustrated primarily by European examples, the paper develops a typology built around an attempted synthesis of the extant typologies found in published literature. Different theories of rural development are employed to help explain the divergent development pathways that might be anticipated in rural areas.
Central and Eastern European CO2 Market—Challenges of Emissions Trading for Energy Companies

The aim of this article was to identify challenges of emissions trading that the Polish and CEE Central and Eastern Europe energy industry will face, as well as to indicate key implications for the competitiveness of the companies from the energy sector resulting from that trading. The EU Emissions Trading Scheme (ETS) is the emissions trading system, which results from the EU policy concerning climate change. It is a tool for reducing greenhouse gas emissions (GHG). The system regulates an annual allocation of the allowances. The price of CO2 emission allowances is subject to constant fluctuations because it depends on various macroeconomic factors as well as is an effect of proprietary trading by global investment banks. Polish energy companies have an increasing share in the emission of CO2 in the European market. This is due to the fact that other European countries are rapidly moving away from fossil fuel-fired sources. The cost per MWh related to CO2 price has been growing in the last 10 years from ca. 5 up to 30 EUR/MWh at the beginning of 2021. From an electric power utilities perspective, the ability to set up a proper strategy in trading CO2 will be crucial to be competitive in the wholesale power market. The higher price of CO2 (and electric power) at the domestic market in relation to more green (more renewable energy sources RES in energy mix) surrounding countries translates into a worse competitive position.
An improved particle swarm optimization algorithm with adaptive weighted delay velocity

ABSTRACT An improved particle swarm optimization (PSO) with adaptive weighted delay velocity (PSO-AWDV) is proposed in this paper. A new scheme blending weighted delay velocity is firstly presented for a new PSO with weighted delay velocity (PSO-WDV) algorithm. Then, to adaptively update the velocity inertia weight, an adaptive PSO-AWDV algorithm is developed based on the evolutionary state of the particle swarm evaluated via a new estimation method. The newly proposed adaptive PSO-AWDV algorithm is tested based on some famous benchmark functions, which can confirm that the performance of PSO-AWDV is superior to several well-known PSO variants and intelligent optimization algorithms in literature.
OPTIMALISASI DIGITAL PAYMENT SEBAGAI SOLUSI PEMBAYARAN UMKM ROTI KASUR

Perkembangan teknologi kini berkembang semakin signifikan khususnya pada sektor perdagangan. Di Indonesia e-commerce telah berkembang sangat pesat, bahkan secara beberapa tahun belakangan ini e-commece telah mengalahkan pasar tradisional. Hal ini mempengaruhi proses pembayaran pada pengguna e-commerce. Semakin berkermbang pesatnya e-commerce tersebut menuntut optimalisasi digital payment sebagai solusi pembayaran yang baru. Penelitian ini bertujuan untuk mengetahui apakah solusi pembayaran dengan optimalisasi digital payment bisa diterima oleh pelanggan dan menguntungkan juga untuk pihak penjual, khususnya pada UMKM Roti Kasur. Penelitian ini adalah penelitian menggunakan metode kualitatif deskriptif dimana proses dilaksanakan dengan pengamatan, wawancara dan studi dokumen. Penelitian ini melibatkan 20 konsumen yang melakukan traksaksi pembayaran pada UMKM roti kasur dan 3 pemilik UMKM Roti Kasur serta karyawan yang membantu proses produksi. Hasil penelitian ini menunjukkan bahwa optimalisasi digital payment mampu memberikan kemudahan pembayaran bagi pihak pelanggan dan kemudahaan pembukuan transaksi bagi penjual meskipun ada biaya tambahan beban admin yang harus ditanggung oleh penjual.
Association between depression and health risk behaviors among university students, Karachi, Pakistan

ABSTRACT In our society, people’s health behaviors are considered a dilemma that can intensify the probability of developing a disease in the future. This study aimed to investigate the association between health risk behaviors and depression among a sample of university students, Karachi, Pakistan. A self-reported health behavior questionnaire was distributed to 813 consented students. The Center for Epidemiological Studies-Depression (CES-D-10) questionnaire was used, a short, self-report scale that measures the recent level of depressive symptomatology, primarily focusing on depressed mood. Their results were further compared with some important health behaviors and social activities. At the univariate stage, the chi-square test was executed to compare the characteristics of categorical variables with depression status. The effect size was measured in terms of the odds ratio (OR) using logistic regression models. According to the adopted classification of CES-D, one out of eight students were found to be depressed. Among students’, females were found to be 70% more depressed than males (OR: 1.7, 95% CI: 0.9–3.0). Depression was higher among students who were not satisfied with their lives, were socially isolated, had trouble sleeping, little control over things, and the future depends on others. The chances of depression were 90% higher among students who did not share private concerns with others (P = 0.01). Overall, depression prevalence was 12.5%, and it was associated with dissatisfaction with life, social isolation, insomnia, and others. Female students were found to be more depressed compared to males.
Building with Nature as integrated design of infrastructures

Many people associate Building with Nature with its flagship project, the Sand Motor. This mega-nourishment redefined the role of natural processes in civil engineering projects, demonstrating that instead of ‘do no harm’ as the highest possible supporting goal of coastal infrastructure, the design could incorporate natural processes to attain societal and ecological goals. As such, the Sand Motor represents a key example of the integrated design of civil infrastructures. In this contribution, we pursue an improved understanding of the integrated design of civil infrastructures, by comparing the illustrative example of the Sand Motor against a framework based on transport infrastructures and the occasional flood defence. It turns out that application of a framework from one domain to another - a conscious act of interdisciplinary learning - results in a modification of that framework. Although the domain of Building with Nature fits well with many existing attributes of integrated design for civil infrastructures (the life cycle approach, adaptive design and adding functionalities), its key attribute (dynamics) adds a unique box to the integrality index. This intellectual effort raises two issues. It demonstrates that our understanding of integrated design is rather specific for different infrastructure-domains. Second, it is likely that the bandwidth of uncertainty that is key to the incorporation of natural processes in infrastructure design, and the changing behaviour of the structure itself in the maintenance phase, has implications for the governance regime of such infrastructures.
A review on modern control applications in wind energy conversion system

To meet the energy demand, over and above to build a clean pollution-free environment, wind energy is playing an incredible role. The development in the field of wind power generation is rising speedily. Operation and maintenance of the nonlinear wind energy conversion system (WECS) with stochastic wind input are pivoted on the control techniques used for the overall system. Many research works are undergoing which are based on various control schemes for different parts of WECS. Thus, this paper presents a review of advanced modern control strategies utilized in different parts of WECS with two popular types of grid-connected generators to achieve the desired power level and fault-free operation developed in the last 15 years. The review paper intends to provide a suitable reference for further research in the field of wind energy to have a bird’s eye view from the tabulated information and presentation.
Economic Impacts of Bt (Bacillus thuringiensis) Cotton

ABSTRACT In recent years, high-yield production has gained importance due to the decrease in agricultural fields in the world and the rapid increase in the population. Cotton is an important source of income for farmers worldwide and is an important crop, especially for the textile industry. Bt-cotton technology, which entered our lives in 1996, has been quickly adopted in many developed and developing countries. It has been shown to provide advantages in many areas. In particular, the economic growth is gaining importance every year. Additionally, it has also brought an environmentally friendly solution to the crop losses caused by insects and pests over the years, by decreasing chemical spraying. Thus, the cost of farmers was reduced and their health was preserved. It enables farmers to be more profitable by shortening the working hours in the fields and reducing labor force. Moreover, this technology has been shown to increase the yield in cotton production. Fifteen years since the commercialization of Bt-cotton technology was first approved and planted, farmers made profit of million dollars from reduced pesticide use. This study includes detailed information about the contribution of Bt-cotton technology to the leading cotton-producing countries’ economies, their commercialization, and explores the current methods used in plants transformation. Although there are some conflicts about whether this technology will provide sustainability and long-term benefits, currently, there are 15 countries that have adopted this technology including India, China and the United States. Also, many more countries are expected to be included in this list in the coming years.
Chapter 4.1b Antarctic Peninsula: petrology

Abstract Scattered occurrences of Miocene–Recent volcanic rocks of the alkaline intraplate association represent one of the last expressions of magmatism along the Antarctic Peninsula. The volcanic rocks were erupted after the cessation of subduction which stopped following a series of northward-younging ridge crest–trench collisions. Volcanism has been linked to the development of a growing slab window beneath the extinct convergent margin. Geochemically, lavas range from olivine tholeiite through to basanite and tephrite. Previous studies have emphasized the slab-window tectonic setting as key to allowing melting of peridotite in the asthenospheric void caused by the passage of the slab beneath the locus of volcanism. This hypothesis is revisited in the light of more recent petrological research, and an origin from melting of subducted slab-hosted pyroxenite is considered here to be a more viable alternative for their petrogenesis. Because of the simple geometry of ridge subduction, and the well-established chronology of ridge crest–trench collisions, the Antarctic Peninsula remains a key region for understanding the transition from active to passive margin resulting from cessation of subduction. However, there are still some key issues relating to their tectonomagmatic association, and, principally, the poor geochronological control on the volcanic rocks requires urgent attention.
Senior entrepreneurship in tourist places

ABSTRACT This study examines the drivers and conditions of senior entrepreneurship in tourist places using place embeddedness theory. Drawing from semi-structured interviews with senior business owners, study findings identify the different roles they play according to their entrepreneurial orientation and level of place embeddedness. By depicting these along a continuum, the study reveals the personal and contextual conditions that enhance and/or restrict senior entrepreneurship in tourist places. The study concludes with suggestions on how senior entrepreneurship may contribute to the perceived authenticity of tourist places and the enhancement of the tourist experience.
Emerging global novelty in phyllobothriidean tapeworms (Cestoda: Phyllobothriidea) from sharks and skates (Elasmobranchii)

New genera are erected for three clades of tapeworms originally discovered using molecular sequence data. The morphological features of each are characterized after examination of specimens with light and scanning electron microscopy. Rockacestus gen. nov. parasitizes skates. Ruhnkebothrium gen. nov. parasitizes hammerhead sharks. Yamaguticestus gen. nov. parasitizes small squaliform sharks and catsharks. The novelty of these genera is supported by a taxonomically comprehensive molecular phylogenetic analysis of the D1–D3 region of the 28S rDNA gene, which, with the addition of newly generated sequence data, is the first to include representation of 15 of the 18 genera of phyllobothriideans plus the three new genera. Five new species are described from elasmobranchs in the western Atlantic Ocean, the Gulf of California, Chile, the Falkland Islands and South Africa to help circumscribe the new genera. Two of the genera provide appropriate generic homes for ten species of phyllobothriideans from catsharks and skates with uncertain generic affinities and thus resolve longstanding taxonomic issues. Given that these genera parasitize some of the most poorly sampled groups of elasmobranchs (i.e. hammerhead sharks, squaliform sharks, catsharks and skates), based on the strict degree of host specificity observed, we predict that further work on other members of these groups will yield as many as 200 additional species in these three genera of tapeworms globally. This brings the total number of genera in the Phyllobothriidea to 21.
EFL students’ achievement and attitudes towards flipped pronunciation class: correlational study

Existing research has examined English as a foreign language (EFL) students’ attitudes towards flipped learning. However, no study seems to have correlated students’ achievement and their attitudes towards flipped learning. Yemeni EFL students also face pronunciation problems and they lack technology-enhanced language learning. The flipped learning approach promotes active learning and increases students’ learning outcomes. This study aims to measure the achievement level and the attitudes of Yemeni EFL students towards flipped pronunciation classrooms. It also correlates between achievement and attitudes towards this new experience. ,Using a correlational research design, quantitative and qualitative data were collected through a test, questionnaire and structured interview from an intact class of Yemeni EFL students at the College of Education in Socotra. ,The one-sample t-test analysis shows that the respondents scored high in the achievement test. The analysis of both the questionnaire and the structured interview revealed that the students have a positive attitude towards the flipped pronunciation classroom. The correlation analysis indicated a high-level positive relationship between students’ achievement and their attitudes where r = 0.779 with p < 0.001, two-tailed. ,The present study has some limitations regarding the sample size. This context-specific study recruited the available EFL class at the College of Education in Socotra, Hadhramout University. It would be more reliable should the study compared large groups of students so that the results can be generalized. ,The study recommends using flipped learning to enhance pronunciation among EFL students. ,This study contributes to the correlational studies in flipped learning.
Comparative Study of Supervised Algorithms for Prediction of Students’ Performance

: Predicting academic performance of the student is crucial task as it depends on various factors. To perform such predictions the machine learning and data mining algorithms are useful. This paper presents investigation of application of C5.0, J48, CART, Naïve Bayes (NB), K-Nearest Neighbour (KNN), Random Forest and Support Vector Machine for prediction of students’ performance. Three datasets from school level, college level and e-learning platform with varying input parameters are considered for comparison between C5.0, NB, J48, Multilayer Perceptron (MLP), PART, Random Forest, BayesNet, and Artificial Neural Network (ANN). Paper presents comparative results of C5.0, J48, CART, NB, KNN, Random forest and SVM on changing tuning parameters. The performance of these techniques is tested on three different datasets. Results show that the performances of Random forest and C5.0 are better than J48, CART, NB, KNN, and SVM.
Effectiveness of Home and Community Exercise Interventions in Improving Indices of Adiposity and Health Outcomes in Adults Living With HIV: a Protocol for a Systematic Review.

Background: Disorders of adipose distribution in people living with the human immunodeficiency virus (HIV) have been associated with significant metabolic derangements that increase their risk of cardiovascular and other chronic diseases. Systematic reviews focusing on centre-based supervised exercise interventions demonstrate that these interventions improve adipose distribution in people living with HIV (PLWH). However, there is need to examine the effectiveness of more flexible home/community self-managed exercise. The aim of this review will be to synthesize existing evidence on the effectiveness of home and community exercise interventions to improve adiposity indices in PLWH.Methods: The following databases will be searched from inception; PubMed, Embase, Scopus, Cumulative Index to Nursing and Allied Health Literature, Physiotherapy Evidence Database, SPORTDiscus, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews and Clinicaltrials.gov. In addition, reference lists searching and forward citation searching will be performed. Screening of studies and data extraction will be conducted by two independent reviewers using a pre-established checklist and no language restrictions will be applied. The quality of included studies will be evaluated with the Cochrane Effective Practice and Organisation of Care Risk of bias tool for controlled and uncontrolled before-after studies. A random-effects meta-analysis will be used to pool effect estimates for primary outcomes (measures of total body adiposity, adipose distribution, and regional adiposity). However, if pooling is deemed inappropriate due to substantial differences between studies, a narrative synthesis will be performed. This protocol is written according to the Preferred Reporting Items for Systematic reviews and Meta-analysis Protocols 2015 statement (see Additional file 1). Discussion: This review shall provide evidence to support or disapprove the prescription of self-managed home exercise interventions in a particularly vulnerable population. We will equally explore the potential impact of technology in improving adherence. Our findings could help guide clinicians involved in the care of PLWH in prescribing exercise and inform the design of future trials and research. Systematic review registration: This protocol was submitted with the International Prospective Register of Systematic Reviews (PROSPERO) on 11/01/2021.
The efficiency in meeting measurable sustainable development goals

ABSTRACT The recent challenges of the contemporary world have brought into question the long-term sustainability of human activities. In 2015, all the countries of the UN General Assembly made a commitment to promote sustainability in the Agenda 2030, which introduced a worldwide concept of 17 main goals in achieving sustainable development – Sustainable Development Goals (SDGs). To become successful in meeting the SDGs, the necessity of measuring, evaluating and controlling the goals emerges. The aim of our study is to enrich this area of research by introducing Data Envelopment Analysis (DEA) into the assessment of the level of the SDGs achievement and the measurement of the countries’ progress. We apply the DEA to compute the relative efficiency of the individual countries in fulfilling their commitment. The best performers that we identify are Finland, Japan and Iceland. Next, we estimate a year in which the individual countries may be able to achieve the SDGs if they continue with their current strategies. Following the actual pace of the improvements, we find that only five countries are on track to become relatively efficient by or around 2030.