Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictors of quality of life gains among people with type 1 diabetes participating in the Irish DAFNE Study.

Purpose: To examine predictors of quality of life gains for type 1 diabetes patients after taking part in a self management training programme (DAFNE). Method: Clinical and questionnaire data were collected from 437 patients with type 1 diabetes from 6 hospital centres at baseline before participation in the DAFNE programme and at 3 further time points (at 6, 12 and 18 month post-DAFNE training). The Diabetes-Specific Quality of Life Scale (DSQOLS) and the Problem Areas in Diabetes Scale (PAID) provided quality of life data, and the Hospital Anxiety and Depression Scale (HADS) provided data on psychological wellbeing. Glycated haemoglobin (HbA 1c ), weight and height, and blood pressure levels were recorded by health practitioners at patients’ clinic appointments. Age, gender, marital status, education level, years since diagnosis and smoking status were recorded at baseline. Linear mixed models were fitted to identify predictors of change in quality of life at 18 month follow up. Results: Those with high levels of diabetes-related distress experienced greatest improvement in DSQOLS quality of life scores (p=0.001). Those with poor glycaemic control (higher levels of HbA 1c ; p=0.03) and those with high levels of anxiety (p=0.001) experienced greatest reductions in diabetes-related distress. Conclusions: Those with higher baseline levels of anxiety, higher levels of diabetes-related distress and higher baseline levels of HbA 1c are most likely to benefit (in terms of quality of life gain) from participation in self-management programmes like DAFNE.
Sex differences regarding the effects of arm swing on ground reaction force and trunk movements between track and field athletes

The purpose of this study was to clarify the sex difference in the effects of arm swing movements of track and field athletes on ground reaction force and trunk movement. Seven male and nine female athletes belonging to a university track and field team were asked to perform arm swings for 10 seconds each under three different conditions (longitudinal, lateral, and original) while in the standing position. Three-dimensional coordinate data for each experimental trial was collected using an automatic optical motion analyser, and ground reaction forces were measured using a force plate. Under the longitudinal condition, the mean acceleration force was greater for males than for females (p < .05), and the operating range of trunk twist angle was significantly greater for females than for males (p < .05). However, under the original condition, there were no significant differences between the sexes in mean acceleration force, but there were significant differences in maximum twist angle and minimum and maximum shoulder abduction angles (p < .05). These results indicate that there are sex differences in trunk movement and ground reaction force depending on the direction of arm swing.
Revisión de las especies de la familia Lichinaceae incluidas en el herbario Werner (BC).

espanolRecopilamos en este estudio todas las citas de especies de la familia Lichinaceae incluidas en la extensa bibliografia sobre el norte de Africa del Prof. R.G. Werner y revisamos los pliegos correspondientes conservados en el herbario del Instituto Botanico de Barcelona (BC). EnglishAll species of the lichen family Lichinaceae reported from northern Africa in Prof. Werner's works are compiled. A revision on the material collected corresponding to these species and actually included in BC herbarium is made.
A Trust Model for Edge-Driven Vehicular Ad Hoc Networks Using Fuzzy Logic

Trust establishment among vehicles is essential for vehicular ad hoc networks (VANETs) as it directly impacts the security and privacy of vehicular communication. Many trust estimation approaches have been introduced, however, they often suffer from ensuring effective trust for vehicles. In fact, existing approaches do not involve all malevolent properties of vehicles in trust computation and can not properly handle the content tampering attack, which eventually affect the accuracy of the estimated trust. Moreover, most of them do not consider the uncertainty of VANET arising from vehicles’ mobility, their inaccurate/incomplete data dissemination, and the wireless communication channels, which also affects the reliability of the trust estimation. To address these limitations, this paper proposes a fuzzy logic-based approach to estimate vehicles’ trust. The new approach considers three trust factors, captured by fuzzy sets, to model malicious properties of a vehicle. Further, it involves a new data-centric parameter to capture the impact of content tampering on trust evaluation. In addition, the new approach includes an inter-edge trust transfer mechanism to carry forward a vehicle’s trust when it switches to a new edge server to ensure a seamless operation in VANETs. We evaluate the performance of the proposed scheme against the state-of-the-art approaches using both synthetic and real-world datasets. The experimental results reveal that it outperforms existing schemes in detecting malicious vehicles with higher recall, precision, and accuracy. Further, the new scheme reduces end-to-end delay and messages per data packet compared to other schemes.
COMPARISON OF PIXEL-BASED AND OBJECT-BASED CLASSIFICATION USING PARAMETERS AND NON-PARAMETERS APPROACHFOR THE PATTERN CONSISTENCY OF MULTI SCALE LANDCOVER

Abstract. Information extraction from remote sensing data especially land cover can be obtained by digital classification. In practical some people are more comfortable using visual interpretation to retrieve land cover information. However, it is highly influenced by subjectivity and knowledge of interpreter, also takes time in the process. Digital classification can be done in several ways, depend on the defined mapping approach and assumptions on data distribution. The study compared several classifiers method for some data type at the same location. The data used Landsat 8 satellite imagery, SPOT 6 and Orthophotos. In practical, the data used to produce land cover map in 1:50,000 map scale for Landsat, 1:25,000 map scale for SPOT and 1:5,000 map scale for Orthophotos, but using visual interpretation to retrieve information. Maximum likelihood Classifiers (MLC) which use pixel-based and parameters approach applied to such data, and also Artificial Neural Network classifiers which use pixel-based and non-parameters approach applied too. Moreover, this study applied object-based classifiers to the data. The classification system implemented is land cover classification on Indonesia topographic map. The classification applied to data source, which is expected to recognize the pattern and to assess consistency of the land cover map produced by each data. Furthermore, the study analyse benefits and limitations the use of methods.
Construction and application of power grid Patent Knowledge map

At present, scientific and technological personnel in electric power enterprises mainly rely on patent search websites to obtain cutting-edge electric patent information. But these websites are mainly based on string matching, which fails to capture the connection between patents, making the recommend result unsatisfying. In view of the above problems, we first constructed a grid patent knowledge map, where knowledge extraction was carried out for entities such as title, abstract and applicant in the patent text, and the entity and defined relational data were stored in the Neo4j graph database. Secondly, the Transe-SNS algorithm with optimized negative sampling was used for vectorization of the graph entity relationship. Experiments showed that Mean Rank and hit@10 improved by 27.5 and 2.2% respectively compared with the traditional TransE algorithm. Finally, the similarity between patents was calculated by combining the results of knowledge graph vector embedding of patent entities with the word vector embedding of patent title abstraction, and top- k patents in similar fields were recommended for users. The experiment proved that the proposed method is superior to the traditional text embedding method in recommending similar patent technology fields.
Experimental study on laser-driven electron collimation along wire targets

We present an experimental study of electron collimation triggered by an ∼1 × 1018 W/cm2 laser pulse irradiated onto wire-like targets. The collimation effect is observed to vary with the laser intensity and target shape. From the resulting electron angular distributions obtained under different experimental conditions, we deduce that the collimated electron charge grows in proportion with the −1/2 power of wire diameters and the square of pulse energies. Numerical simulations are conducted to study the electron behavior's dependence on the transient field and experimental conditions and are found to reproduce the experimental features.We present an experimental study of electron collimation triggered by an ∼1 × 1018 W/cm2 laser pulse irradiated onto wire-like targets. The collimation effect is observed to vary with the laser intensity and target shape. From the resulting electron angular distributions obtained under different experimental conditions, we deduce that the collimated electron charge grows in proportion with the −1/2 power of wire diameters and the square of pulse energies. Numerical simulations are conducted to study the electron behavior's dependence on the transient field and experimental conditions and are found to reproduce the experimental features.
Determinants of Participation in MGNREGA: A Case Study of Kathua District, J&K, India

MGNREGA is a footstep by the Government of India which has changed the status of the rural households and their employment pattern by securing livelihood through guaranteed wage employment. This scheme was implemented in Kathua District in 2008-09 in its final phase when the entire state of Jammu & Kashmir was covered. The present paper tries to estimate econometrically the impact of various determinants of MGNREGA beneficiaries by using the Logit model in the Kathua district and has also examined the socio-demographic determinants of participation in MGNREGA. The estimated result of Logit model illustrate that wages influence the status of MGNREGA beneficiaries as people who earned wages from unorganized sector are more probable to engage under MGNREGA.
The allostatic load model: a framework to understand the cumulative multi-system impact of work-related psychosocial stress exposure among firefighters

ABSTRACT Firefighting is recognised as a profession where health and well-being can be affected by a variety of occupational factors, such as physical, thermal, and chemical stressors. Along with the risks intuitively associated with the fire service, however, psychosocial stress has begun to attract attention as another variable deserving of consideration. Indeed, long-term exposure to work-related psychosocial stress has been linked with poor health outcomes in many workers; however, despite this association, very little has been done to examine how such stressors become biologically embedded in firefighters. To help facilitate research into how psychosocial stress can affect health-related outcomes in the fire service, we propose a framework centered on the notion of allostatic load. First, we reviewed the occupational characteristics that may generate psychosocial stress within firefighters before introducing allostatic load (that is, dysregulation across various physiological systems caused by the need to manage ongoing stressors). Next, we provided a summary of how allostatic load can be measured and touched on the framework's utility for studying the cumulative effects of work-related stress on firefighter health. After this, factors that may influence the steps leading from stress exposure to health outcomes were discussed; in particular, we commented upon how research in this area should consider specific non-modifiable (age, sex, and ethnicity) and modifiable (psychosocial resources and behavioural habits) factors. Finally, we presented methodological barriers and opportunities that may arise when using the allostatic load framework with this professional group. By introducing the framework, we hope to provide a tool that may be used by those interested in stress-health research in firefighters to build the evidence needed to inform primary prevention measures.
The association between major trauma centre care and outcomes of adult patients injured by low falls in England and Wales.

Background Disability and death due to low falls is increasing worldwide and disproportionately affects older adults. Current trauma systems were not designed to suit the needs of these patients. This study assessed the effectiveness of major trauma centre care in adult patients injured by low falls. Methods Data were obtained from the Trauma Audit and Research Network on adult patients injured by falls from <2 metres between 2017-2019 in England and Wales. 30-day survival, length of hospital stay and discharge destination were compared between major trauma centres (MTCs) and trauma units or local emergency hospitals (TU/LEHs). Results 127,334 patients were included of whom 27.6% attended an MTC. The median age was 79.4 years (IQR 64.5-87.2 years), and 74.2% of patients were aged >65 years. MTC care was not associated with improved 30-day survival (adjusted odds ratio [AOR] 0.91, 95% CI 0.87-0.96). Transferred patients had a significant impact upon the results. After excluding transferred patients, the AOR for survival in MTCs was 1.056 (95% CI 1.001-1.113). Conclusion TU/LEH care is at least as effective as MTC care due to the facility for secondary transfer from TU/LEHs to MTCs. In patients who are not transferred, MTCs are associated with greater odds of 30-day survival in the whole cohort and in the most severely injured patients. Future research must determine the optimum means of identifying patients in need of higher-level care; the components of care which improve patient outcomes; and develop patient-focused outcomes which reflect the characteristics and priorities of contemporary trauma patients.
Social organization and interaction in Bronze Age Eurasia: A bioarchaeological and statistical approach to the study of communities

While it has recently become clear that pastoral groups have varied economies, social systems, and mobilities, current models of interaction have not integrated the variable lifeways of pastoral communities. In the case of north central Eurasia, scholars have focused their attention on sweeping changes that occurred in patterns of settlement and social institutions from the Middle (2100-1700 BC) to Late Bronze Age (1700-1400 BC). Efforts to understand this transition have resulted in models that cover broad expanses of steppe and oversimplify the existing data. In order to construct more convincing models of interaction for the Bronze Age, we must begin with comprehensive datasets of local communities. The research presented here confronts issues of social and biological variation and their role in structuring connectivity and relationships in prehistory. To critically examine theories of interaction associated with posited social and economic developments during the Bronze Age, this dissertation investigates the shifting structure of social organization through an investigation of mortuary behaviors and ritual practices. Through a change in perspective, we re-focus on smaller micro-regional discussions of integration and interaction, addressing the relationship between the local community and the global through comparative analyses of two pastoral communities that span the Middle to Late Bronze Age. These periods are marked by a shift from aggregated to dispersed populations, broader spheres of interaction, and new forms of mortuary ritual. This research draws upon statistical analyses of mortuary remains, dietary reconstruction via stable isotopic analyses, and biodistance of dentition to develop a robust picture of changing social identities and organization. The results reveal that subsistence regimes stayed relatively uniform while inequality shifted drastically, evidenced by changes in kin centered wealth and identity signaling. This expands our understandings of social complexities of pastoral societies and adds to the growing body of literature on gender roles, status, and kinship. The Eurasian steppe is a pertinent location for the study of pastoral interactions, but few studies have examined the detailed nature of social and biological communities, or interplay between them. This project is important given that studies of pastoralist societies have infrequently contributed to comparative analyses of complex societies.
Measuring the Efficiency of an FCC Spectrum Auction

FCC spectrum auctions sell licenses to provide mobile phone service in designated geographic territories. We empirically measure efficiency in the C block auction, where the continental US was split into 480 licenses, which differs from a common European system of awarding nationwide licenses. Spectrum auctions can be inefficient because of demand reduction and intimidatory collusion. Unfortunately, there is no one standard model of spectrum auctions. In the spirit of Haile and Tamer (2003), we structurally estimate bidder valuations using a necessary condition for equilibrium behavior known as pairwise stability. Pairwise stability holds across a set of spectrum auction models, including models with intimidatory collusion and demand reduction. Using our valuation estimates, we find that the allocation of licenses in the C block was inefficient compared to awarding four large regional licenses to the largest bidders. ∗Bajari thanks the National Science Foundation, grants SES-0112106 and SES-0122747 for financial support. Fox would like to thank the NET Institute and the Olin Foundation for financial support. Thanks to helpful comments from Christopher Adams, Susan Athey, Lawrence Ausubel, Timothy Conley, Peter Cramton, Nicholas Economides, Philippe Fevrier, Matthew Gentzkow, Philip Haile, Ali Hortacsu, Robert Jacques, Jonathan Levin, Paul Milgrom, Harry Paarsch, Ariel Pakes, Robert Porter, Bill Rogerson, Gregory Rosston, John Rust, Andrew Sweeting, Chad Syverson and Daniel Vincent. Thanks also to seminar participants at Chicago, CIRANO, Duke, the IIOC, Iowa, Maryland, Michigan, MIT, the NBER, the NET Institute, Northwestern, SITE, UCLA and Washington University. Thanks to Todd Schuble for help with GIS software, to Peter Cramton for sharing his data on license characteristics, and to Chad Syverson for sharing data on airline travel. Excellent research assistance has been provided by Luis Andres, Wai-Ping Chim, Stephanie Houghton, Dionysios Kaltis, Ali Manning, Denis Nekipelov, and David Santiago. Our email addresses are bajari@econ.umn. edu and fox@uchicago.edu.
Extreme events: dynamics, statistics and prediction

We review work on extreme events, their causes and consequences, by a group of European and American researchers involved in a three-year project on these topics. The review covers theoretical aspects of time series analysis and of extreme value theory, as well as of the deterministic modeling of extreme events, via continuous and discrete dynamic models. The applications include climatic, seismic and socio-economic events, along with their prediction. Two important results refer to (i) the complementarity of spectral analysis of a time series in terms of the continuous and the discrete part of its power spectrum; and (ii) the need for coupled modeling of natural and socio-economic systems. Both these results have implications for the study and prediction of natural hazards and their human impacts.
Live Detection of Intracellular Chitin in Butterfly Wing Epithelial Cells In Vivo Using Fluorescent Brightener 28: Implications for the Development of Scales and Color Patterns

Simple Summary Chitin is the major component in the extracellular cuticle and plays multiple roles in insects. In butterflies, chitin contributes to the development of scales and color patterns. Here, we attempted to detect intracellular chitin in live cells with fluorescent brightener 28 (FB28), focusing on wing epithelial cells of a small lycaenid butterfly. We observed strongly FB28-positive cells in the cytosol, which may be specialized chitin-secreting cells. We detected FB28-positive hexagonal intracellular objects and their associated structures extending toward the apical end of the cell, which may be developing scale bases and shafts. We also observed FB28-positive fibrous intracellular structures extending toward the basal end. The present data are crucial to understanding the differentiation of the butterfly wing epithelium, including scale formation and color pattern determination. The use of FB28 in probing intracellular chitin in live cells may be applicable to other insect systems. Abstract Chitin is the major component of the extracellular cuticle and plays multiple roles in insects. In butterflies, chitin builds wing scales for structural colors. Here, we show that intracellular chitin in live cells can be detected in vivo with fluorescent brightener 28 (FB28), focusing on wing epithelial cells of the small lycaenid butterfly Zizeeria maha immediately after pupation. A relatively small number of cells at the apical surface of the epithelium were strongly FB28-positive in the cytosol and seemed to have extensive ER-Golgi networks, which may be specialized chitin-secreting cells. Some cells had FB28-positive tadpole-tail-like or rod-like structures relative to the nucleus. We detected FB28-positive hexagonal intracellular objects and their associated structures extending toward the apical end of the cell, which may be developing scale bases and shafts. We also observed FB28-positive fibrous intracellular structures extending toward the basal end. Many cells were FB28-negative in the cytosol, which contained FB28-positive dots or discs. The present data are crucial to understanding the differentiation of the butterfly wing epithelium, including scale formation and color pattern determination. The use of FB28 in probing intracellular chitin in live cells may be applicable to other insect systems.
14-channel neurofeedback with Auto Train Brain improves the left lateralization of the brain in dyslexia: A pilot study

Auto Train Brain is a neurofeedback-based mobile application that increases reading comprehension and reading speed in dyslexia with EMOTIV EPOC-X which has 14 channels. The clinical trials have been completed on dyslexia beforehand. The left hemisphere-related deficits are known in dyslexia. In this research, we have investigated the positive long-term effects of Auto Train Brain to improve the variance of gamma band sample entropy across neurofeedback sessions. The previous research indicates that the increase in the variance of the gamma band entropy shows the increased adaptations in the functional networks. 14-channel neurofeedback with Auto Train Brain increases the variance of gamma band entropy in the left temporal lobe (T7) over the right temporal lobe (T8) which may be translated as the adaptations of the functional networks in the left temporal region are increased after 100 sessions of neurofeedback in terms of electrophysiology.
Establishing Phylogenetic Proﬁle and Identiﬁcation of Function and Ligands for Mycobacterium Ulcerans Microbiome

Buruli ulcer is caused primarily by Mycobacterium ulcerans. Due to its high association with the Buruli ulcer, Mycobacterium ulcerans microbiota were used in the study . This microbiota taxon and functional proﬁle have been identiﬁed thanks to advances in Metatranscriptomic Sequencing . Then there are several genes associated with the disease that are identiﬁed and used for the further docking study. There are many Ayurvedic medicinal plants, such as Jatropha curcas L. , Aloe vera (L.) Burm. f. , and Capsicum annum L. , that are used for medicine.