Miracle-dz/UniFAR-FTUs huggingface dataset:
Obstacles and Opportunities: Today’s children, tomorrow’s families

casereport 66 2 1 acknOWledgements This report was supported by an anonymous foundation. it draws on data collected from a nine-year longitudinal study which was funded by the economic and social research council, The nuffield foundation and The esmee fairbairn foundation. The work relied on the goodwill, time and insights of over two hundred families who participated over a considerable period of time. Katharine mumford, helen willmot (co-author), rosey davidson, helen Bowman, astrid winkler, lalita mcleggan, Bani makkar, all worked as field researchers on the families study, establishing and maintaining trust with the families. many others helped with advice and support including Jane waldfogel, howard Glennerster, John hills, simon marsh, community organisations, schools, health services and local authorities in the four areas where the families lived, the family and Parenting institute, the child Poverty Unit in the department for education, the cabinet office, and academic colleagues. many others were involved over the course of the study. Play england have contributed significantly to our thinking about opportunities for children and young people. This is the parents' highest priority and we are immensely grateful to them for their advice, help and the use of their photographs. To all who contributed we owe a big debt of thanks, especially abenaa owusu-Bempah and libby Parrott who helped prepare this report. we accept full responsibility for any errors or misrepresentation. FOreWOrd obstacles and opportunities is a short report based on what 200 parents told us over a ten year period of visiting them in their homes in low-income urban areas. we have produced three books based on this research: EastEnders: Family and Community in Urban Neighbourhoods; City Survivors: Bringing Up Children in Disadvantaged Neighbourhoods; and Family Futures: Childhood and poverty in urban areas (to be published by Policy Press in July 2011). The research that went into the three books informs this report but here we pull together a unique body of evidence and quotations. The particular focus of this report is on the opportunities and obstacles facing children and young people growing up in disadvantaged areas and the struggles of parents to overcome these barriers and build a better future for their families. we hope that this report will underline the sense of urgency about providing more, not less, for children and young people in disadvantaged areas. for these areas are still remarkably different from the average and the future of our society hinges …
Research presented at Symposium P of the 10th International Conference of Materials and Advanced Technology (ICMAT 2019)

Discovery and development of affordable renewable energy sources is of paramount importance for the continuous growth of human civilization while minimizing global warming. Converting solar energy to electricity or fuel presents a golden opportunity towards truly accessible, low cost and clean source of energy. Thin film inorganic materials may open up new opportunities in flexible solar cells, wearable technologies and building integrated photovoltaics (BIPV) beyond the traditional (silicon-based) solar panels installed on roof tops and solar farms. Conversion of sunlight into useful chemicals such as O2 and H2, enabled by photo(electro)chemical reactions of semiconductor photoelectrodes, also presents a promising opportunity to harvest solar energy. Towards this, we present a collection of selected articles on the recent development of chalcogenide based inorganic materials for solar energy harvesting which were presented at symposium P of the 10th International Conference of Materials and Advanced Technology (ICMAT2019) hosted by MRS-Singapore.
Avtomatsko povzemanje slovenskih besedil z globokimi nevronskimi mrežami

Povzemanje besedil naslavlja problem narascujoce kolicine tekstovnih podatkov, v katerih želimo odkrivati pomembne informacije, npr. med raziskovanjem dokumentov želimo proces izbire poenostaviti in se odlocati le na podlagi povzetkov. V delu smo se posvetili problemu povzemanja slovenskih besedil. Nas cilj je generiranje kvalitetnega in berljivega povzetka. Problema smo se lotili z uporabo globokih nevronskih mrež in arhitekture zaporedje v zaporedje. Razvili smo devet modelov, ki se razlikujejo po tipu rekurencnih celic, stevilu rekurencnih celic, stevilu nivojev in dodatnih mehanizmih, kot sta mehanizem pozornosti in mehanizem kopiranja. Uspesnost povzemanja smo evalvirali z metrikama ROUGE in BERTScore. Med trenutno obstojecimi slovenskimi povzemalniki nas najuspesnejsi model dosega najboljse rezultate.
A new classification approach based on geometrical model for human detection in images

In recent years, object detection and classification has gained more attention, thus, there are several human object detection algorithms being used to locate and recognize human objects in images. The research of image processing and analysing based on human shape is a hot topic due to its wide applicability in real applications. In this research, we present a new shape-based classification approach to categorise the detected object as human or non-human in images. The classification in this approach is based on applying a geometrical model which contains a set of parameters related to the object’s upper portion. Based on the result of these geometric parameters, our approach can simply classify the detected object as human or non-human. In general, the classification process of this new approach is based on generating a geometrical model by observing unique geometrical relations between the upper portion shape points (neck, head, shoulders) of humans, this observation is based on analysis of the change in the histogram of the x values coordinates for human upper portion shape. To present the changing of X coordinate values we have used histograms with mathematical smoothing functions to avoid small angles, as the result we observed four parameters for human objects to be used in building the classifier, by applying the four parameters of the geometrical model and based on the four parameters results, our classification approach can classify the human object from another object. The proposed approach has been tested and compared with some of the machine learning approaches such as Artificial Neural Networks (ANN), Support Vector Machine (SVM) Model, and a famous type of decision tree called Random Forest, by using 358 different images for several objects obtained from INRIA dataset (set of human and non-human as an object in digital images). From the comparison and testing result between the proposed approach and the machine learning approaches in term of accuracy performance, we indicate that the proposed approach achieved the highest accuracy rate (93.85%), with the lowest miss detection rate (11.245%) and false discovery rate (9.34%). The result achieved from the testing and comparison shows the efficiency of this presented approach.
Depression and Aggressive Behaviour in Continuing Care: How Cognitive
 Impairment Might Not Explain the Whole Story

Context: There is currently little research examining the relationship between depression and aggressive behaviour among individuals receiving long-term care. Previous research has focused on older adults with neurocognitive disorders (e.g., Alzheimer’s). These studies have found a positive association between aggressive behaviour and depression and are additionally associated with cognitive impairment in older adults. Objectives: The current study aims to better understand the relationship between aggressive behaviour and depression amongst older adults with and without cognitive impairment, as previous studies have not yet examined how these relationships may differ across levels of cognitive functioning. Methods: Data from the Continuing Care Reporting System administered by the Canadian Institute for Health Information was used. At the time of analysis, data for individuals receiving continuing care was available across seven Canadian provinces and one territory. Findings: Data from 2,682,612 individuals were extracted (Mage = 80.42, SD = 11.5). A positive relationship between aggressive behaviour and depressive symptoms was found for those with and without cognitive impairment. There was no evidence of a mediating effect of cognitive impairment on aggressive behaviour. Individuals with symptoms of depression demonstrated more aggressive behaviours. Limitations: A limitation of the current work is the cross-sectional nature of the data examined. This restricts the ability to determine causation, and the questions of “Do depressive symptoms predict aggressive behaviour? ” or “Are aggressive behaviours early symptoms of depression? ” remain. Implications: These findings indicate that, independent of cognition, those with depressive symptoms are more likely to exhibit aggressive behaviour. Recommendations on identification and treatment of depression in this population are discussed and related policy changes are considered.
Simultaneously improving the fire performance and toughness of polylactic acid by reactive blending with castor oil-based polyurethane and ammonium polyphosphate

A new method has been presented to simultaneously enhance both the flame retardancy and toughness of polylactide acid composites by introducing castor oil-based polyurethane and ammonium polyphosphate via reactive blending. The in situ polymerization of castor oil and toluene diisocyanate in the polylactide acid matrix has been confirmed by the Fourier transform infrared spectroscopy. The flame retardant test results indicate that the introduction of 20% ammonium polyphosphate can increase the limiting oxygen index of polylactide acid composites from 19.3% to 27.2%, upgrade the UL-94 rating from no rating to V-0, and decrease the peak heat release rate from 505.5 to 337.0 kW/m2. Moreover, the toughness of polylactide acid is also improved significantly, with the elongation at break and notched impact strength increasing to 37.0% and 7.59 kJ/m2, respectively. The possible mechanisms for both flame retardancy and toughness are also discussed and proposed.
Evolution in the management of non-small cell lung cancer in Brazil

1. Serviço de Pneumologia, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo (SP) Brasil. 2. Instituto do Câncer do Estado de São Paulo Octavio Frias de Oliveira, São Paulo (SP) Brasil. Lung cancer, and its most prevalent variant—non-small cell lung cancer (NSCLC)—is responsible for 85% of all lung cancer cases(1) and is a significant cause of death in the world, as well as in Brazil. It is estimated that, in 2012, approximately 1.6 million deaths occurred due to NSCLC worldwide. (2) In Brazil, in the same year, 23,493 deaths were identified due to this condition. (3)
Effect of Applicator Reconstruction Shifting on Dosimetric Dose-Volume Histogram Parameters during Magnetic Resonance Imaging in Brachytherapy for Cervical Cancer Patients

Objective : This study observed the dose-volume histogram (DVH) parameter changes caused by applicator shifting that result from patient movement during image acquisition for magnetic resonance imaging guided brachytherapy for cervical cancer patients. Materials and Methods : Nine cervical cancer plans with insertion of a Fletcher computed tomography (CT)/magnetic resonance (MR) applicator were retrospectively studied. The MR sequences were T2 fast spin echo on parasagittal, para-axial, and para-coronal planes, respectively. The applicator library was used for applicator reconstruction in each image data set. The tip of the applicator (2 ovoids + 1 tandem) was identified, and the difference from the reference image (axial view) was recorded. The DVH parameters were as follows: D90 of high-risk clinical target volume (HR-CTV) and D2cc of the bladder and rectum for each image data set were compared with the reference image. Results : The tandem showed less applicator shift on the coronal plane than the reference image. The applicator shifts for tandem were 0.0 ± 0.4, 0.0 ± 1.0, and -0.5 ± 1.0 mm in the left-right, superior-inferior, and anterior-posterior directions, respectively. The mean percentage dose differences in DVH parameters on the coronal and sagittal planes were 3.04% and 1.23% for D90 of HR-CTV, 2.73% and 3.88% for D2cc of the bladder, and 2.60% and 3.49% for D2cc of the rectum, respectively. Conclusion : An image acquisition time of approximately 15 minutes for three-dimensional MR brachytherapy provided a mean applicator reconstruction shift within 1.3 mm, with minor effects on the DVH parameter of approximately 3%.
Desarrollo de un modelo empírico para la predicción estacional sobre el Mediterráneo

RESUMEN Se propone el desarrollo de un modelo empírico de predicción que complete la información proporcionada por los sistemas basados en modelos dinámicos. Está basado en regresión lineal múltiple, usando la temperatura promedio en superficie y la precipitación acumulada como predictandos e índices climáticos globales como predictores. Su implementación permite modificar la lista de predictores de forma sencilla, lo que permitirá incorporar la información de nuevos índices que se obtengan de los experimentos de sensibilidad actualmente en curso realizados con modelos en el marco del proyecto MEDSCOPE.
Valsartan/Hydrochlorothiazide Induced Pemphigus Foliaceus

C l i n M e d International Library Citation: Giménez-García R, Nuñez-Cabezón M (2016) Valsartan/Hydrochlorothiazide Induced Pemphigus Foliaceus. Int J Aller Medications 2:012 Received: December 31, 2015: Accepted: March 25, 2016: Published: March 29, 2016 Copyright: © 2016 Giménez-García R, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Giménez-García and Nuñez-Cabezón. Int J Aller Medications 2016, 2:012 Volume 2 | Issue 1
Systematic Approach to Malware Analysis (SAMA)

Malware threats pose new challenges to analytic and reverse engineering tasks. It is needed for a systematic approach to that analysis, in an attempt to fully uncover their underlying attack vectors and techniques and find commonalities between them. In this paper, a method of malware analysis is described, together with a report of its application to the case of Flame and Red October. The method has also been used by different analysts to analyze other malware threats like ‘Stuxnet’, ‘Dark Comet’, ‘Poison Ivy’, ‘Locky’, ‘Careto’, and ‘Sofacy Carberp’. The method presented in this work is a systematic and methodological process of analysis, whose main objective is the acquisition of knowledge as well as to gain a full understanding of a particular malware. Using the proposed method to analyze two well-known malware as ‘Flame’ and ‘Red October’ will help to understand the added value of the method.
Distribution of body mass index of Indian women: a study based on NFHS-2 and NFHS-3

World Health Organization recommended Body Mass Index (BMI) as a measure of nutritional status of adults. This study investigates the distribution of BMI and its changes among Indian women in the age-group 15-49 years based on sampled data of 83,646 and 111,983 women from the National Family Health Survey-2 (NFHS-2) and NFHS-3 respectively. Background characteristics (BC) specific distributional changes in BMI are demonstrated by (i) fitting an appropriate probability distributions (ii) partial sum based on percentiles of distribution and (iii) test of equality of percentiles of distribution of BMI from NFHS-2 and NFHS-3. Relative measures R1 and R2 are defined to demonstrate burden of underweight and obesity. Changes in the prevalence of underweight, obesity and annual gain in mean BMI for synthetic cohort by age-groups are presented. Rapid increments are observed in mean and higher percentiles of BMI among married women, women in the higher age-groups, and women from south zone of India. High prevalence of underweight is observed among rural women (40.6%) and women from low standard of living (49.7%). Double burden of underweight and obesity is reported among older, rich and highly educated women and women from Christian and Sikh religions. Tests of equality of percentiles of BMI are rejected (
Revisionist Conflict and State Repression

What kinds of international conflicts make states more likely to increase repression? I argue that the issues at stake in conflict may have different levels of domestic salience and may alter the domestic political status quo, thus increasing or decreasing a state’s or regime’s propensity to repress. I argue and find that democracies are most likely to increase repression when they are territorial revisionists, specifically increasing the use of imprisonment and torture. Autocratic states are more likely to increase repression during foreign policy-oriented disputes, as opposed to those fought over territory, which are less likely to escalate to full-scale war, and more likely to be domestically motivated. This project thus opens up the black box of international conflict to better understand how the reasons states fight abroad affects decisions to repress at home.
Reading the Mind in Robots: How Theory of Mind Ability Alters Mental State Attributions During Human-Robot Interactions

This study examined how human-robot interaction is influenced by individual differences in theory of mind ability. Participants engaged in a hallway navigation task with a robot over a number of trials. The display on the robot and its proxemics behavior was manipulated, and participants made mental state attributions across trials. Participant ability in theory of mind was also assessed. Results show that proxemics behavior and robotic display characteristics differentially influence the degree to which individuals perceive the robot when making mental state attributions about self or other. Additionally, theory of mind ability interacted with proxemics and display characteristics. The findings illustrate the importance of understanding individual differences in higher level cognition. As robots become more social, the need to understand social cognitive processes in human-robot interactions increases. Results are discussed in the context of how individual differences and social signals theory inform research in human-robot interaction.
Establishing Tissue Culture of King of Bitters (Andrographis paniculata) and Comparison of Callus Versus Plant Neoandrographolide Production

Neoandrographolide is a secondary compound endemic to Andrographis paniculata (King of Bitters) and gives the plant its anti-inflammatory property. Because of the widespread use of neoandrographolide and the low seed germination rate of Andrographis paniculata, creating a callus tissue culture, from which to extract neoandrographolide, has the potential to be beneficial to pharmaceutical companies. Callus was produced from King of Bitters plant tissue using the Mineo protocol for tissue extraction and the Murashige protocol for the callus media and incubation. HPLC-CAD analysis was done on a liquid extract of callus (1 g dried callus to 50 mL methanol) and leaf tissue (1g dried leaves to 50 mL methanol) using the Li protocol. No detectable neoandrographolide content was found in the callus, but neoandrographolide was found in the plant leaf tissues. To facilitate neoandrographolide production in callus, elicitors, genetic manipulation, metabolic engineering, or the use of symbionts may be viable options.
AWARENESS AND LIFE STYLE ANALYSIS OF HIV INFECTED VICTIMS OF VINDHYA REGION

HIV (human immunodeficiency virus) was first reported in the United States in 1981 and has since become a major worldwide epidemic. AIDS (acquired immuno deficiency syndrome) is caused by HIV. The positive correlation between health and income has been one of the best-known relationships in human livelihood. Surprisingly, 67.2 percent HIV positive patients were aware of HIV and AIDS, 78.7 percent of were not aware of the transmission route of HIV almost 55 percent HIV positive patients spent less than 6 months with their life partners, 88 percent victims had very strong sexual urge while 70 percent respondents had positive attitude towards extra- marital relation in Vindhya region. It is opposite to the Indian culture and tradition where excessive sex (Washna) is considered as sinful act in much ourthological religious and spiritual texts.
Application of some biological indices to benthic macroinvertebrates related to water quality index of Lake Burullus, Egypt

Lake Burullus is one of the most significant coastline lagoons in the Mediterranean basin. It is the second largest lake of the northern Egyptian lakes. It lies in the Nile Delta, between Longitude 30° 30-E and 31° 10-E and latitude 31° 21N and 31° 35-N. The lake is separated from the Mediterranean Sea by a narrow sandbar. The area of Burullus Lake is about 420 km 2 of which 370 km 2 is open water (Younes, 2012). On the other side, the lake area was 588 km 2 in 1956 while it was 462 km 2 in 1974 and this reduction is owing to projects of reclamation along the eastern and southern sides of the lake and processes of fish farming (Younes, 2012). Lake Burullus is linked to the sea through the Burullus inlet (width 250 m and depth 5 m) at its northeastern edge. The lake is very shallow, with a depth ranged from 40 cm and 200 cm (El-Zeiny & El-Kafrawy, 2017). Eight drains (Burullus, El Gharbia, Nasser, Baltim, and drains 7, 8, 9, and 11) and only one canal (Brimbal Canal) discharge agricultural drainage water into the lake (El Baz, 2015). Domestic wastes, industrial and agricultural discharges have increased the pollutants in the lake. The increasing pollution of water resources in Lake Burullus makes the lake under severe ARTICLE INFO ABSTRACT Article History: Received: Oct. 22, 2019 Accepted: Nov. 29, 2019 Online: Dec. 2019 _______________
Pattern of hemoglobinopathies and thalassemia in Manipur, India

Background: Hemoglobinopathies are the commonest genetic disorders worldwide. Thalassemia Major, Thalassemia Intermedia and Sickle Cell Disease are the major disorders that require lifelong management and are to be considered for prevention. In India, Beta-Thalassemia is prevalent across the country, with an average frequency of carriers being 3-4%. Methods: This is a cross sectional study conducted between June 2016 - May 2017 in the Department of Medicine, RIMS Imphal in 453 patients as a workup for anemia and clinically suspected cases of Hemoglobinopathy or beta thalassemia. Blood samples were collected and sent for Haemoglobin Electrophoresis using cellulose alkaline technique. Results: Among the 453 cases of the population surveyed, 35% showed the presence of abnormal hemoglobin. 16% were found to be beta thalassemia carrier, 11.69% HbE trait, 6.62% Homozygous HbE, 0.4% beta thalassemia and 0.7% had Hereditary persistence of HbF. Conclusions: High prevalence of Beta Thalassemia trait occurred more frequently than other Hemoglobinopathies. The study concludes that it is immensely important epidemiologically to explore the haemoglobin variants in Manipur so that the carriers can be detected for prevention of more serious disorder in the future generations.