Miracle-dz/UniFAR-FTUs huggingface dataset:
Complications and Management of Unsafe Abortion

Objective: To determine the frequency of unsafe abortion and its morbidity and mortality in patients presenting at Lady Aitchison Hospital Lahore (KEMU Lahore). Study Design: Descriptive study. Place and Duration of study: Department of Obstetrics and Gynecology, Lady Aitchison Hospital Lahore, from 1st January 2006 to 31st December 2010. Patients and Methods: All patients with history of induced abortion were admitted. The particulars related to each case like age, marital status, parity, reason for requesting abortion, place and expertise of person carrying out the procedure and outcome were recorded. Once patient arrived in our unit detailed examination was done and relevant investigations sent. After primary resuscitation and optimization, the patients were managed according to their complications in collaboration with general surgical department. Results: 120 mostly young ladies with age range of 17 to 47 years and mean age of 30.76 years, presented with complications of induced abortion. 110 patients were married and 10 were single mothers. 30 patients (25%) were nullipara and remaining 90 (75%) were having 5 or more children. Only 14 out of 120 patients
Political mobilization in Brazil from 2013 to 2017: a technopolitical analysis using surveys and social network data mining

This work investigates the Journeys of June of 2013, in Brazil, with a special focus on the distributed and transient leadership of the movement, the ideological spectra that it represented and the technopolitical nature of such events. We present a longitudinal analysis based on data from surveys (n=579) and 252 Facebook activist pages (n=684,361 posts) from the Right, the Traditional Left, and the Post-June Left networks, uncovering a five-year timeframe. We also propose a multi-method approach for longitudinal studies on network-movements, in which we cross the survey’s results with Facebook data using data mining and information extraction techniques, particularly the automated topic modeling with the LDA algorithm. We also propose to use the “engagement per topic” as a useful metric to determine pages’ influence, from a non-trivial perspective of the data, thus escaping from analyses merely based on single posts’ relevance and making the social data more robust for scientific research. We consider the June movement as a technopolitical event, one which used hybrid spaces (simultaneously taking place online and offline) to foster political participation across the ideological spectrum. Therefore, this multi-method perspective was crucial to uncover the movement’s multi-layering practices. We have learned that different leftist movements fostered the Journeys and motivated the transient leading roles, which ended up opening room for the right-leaning agenda during June 2013.
Evaluating the Risk Factors in Fatal Accidents involving Motorcycle – Case Study on Motorcycle Accidents in Sri Lanka

Motorcycles comprise nearly 30% of the traffic flow in most Sri Lankan highways. The rapid increase in motorcycle usage has led to a significant increase in the number of motorcycle related accidents and fatalities. Motorcycle related accidents account for nearly 40% of total road accidents in recent years. However, the current studies related to motorcycle accidents are only based on the basic statistical data analysis which does not comprehensively evaluate the risk factors related to such accidents, especially for fatal accidents. This study aims to evaluate the level of risk for factors involved in motorcycle related fatal accidents. In this study, accident data were analyzed under four categories. The stepwise binary logistic regression approach was adopted to identify the risk ratio of each evaluated parameter. The findings show that the motorcycle fatal accident risk is higher for accidents involving heavy vehicles, head-on collisions, and collision with hard objects. There were significant levels of accidents involving motorcyclists and pedestrians as well, where the highest fatality risk was at mid-block segments of the roadway. Findings would be useful to identify effective measures to improve the motorcycle riders’ safety in Sri Lanka.
Lowered H3K27me3 and DNA hypomethylation define poorly prognostic pediatric posterior fossa ependymomas

A subset of childhood posterior fossa ependymomas with poor prognosis is epigenetically similar to H3K27M gliomas. Epigenetics helps find the bad tumors Ependymomas are brain tumors that can occur in people of all ages and in different parts of the central nervous system. The prognosis of these tumors does not necessarily correlate with clinical characteristics or even tumor grade, and there are no recurrent genetic mutations that can be used to classify these tumors. To address this problem, Bayliss et al. examined the epigenetics of ependymoma. By doing this, the authors identified some characteristic methylation patterns that correlate with prognosis, including one specific pattern that is also seen in childhood gliomas and associated with more invasive tumors. Childhood posterior fossa (PF) ependymomas cause substantial morbidity and mortality. These tumors lack recurrent genetic mutations, but a subset of these ependymomas exhibits CpG island (CpGi) hypermethylation [PF group A (PFA)], implicating epigenetic alterations in their pathogenesis. Further, histological grade does not reliably predict prognosis, highlighting the importance of developing more robust prognostic markers. We discovered global H3K27me3 reduction in a subset of these tumors (PF-ve ependymomas) analogous to H3K27M mutant gliomas. PF-ve tumors exhibited many clinical and biological similarities with PFA ependymomas. Genomic H3K27me3 distribution showed an inverse relationship with CpGi methylation, suggesting that CpGi hypermethylation drives low H3K27me3 in PF-ve ependymomas. Despite CpGi hypermethylation and global H3K27me3 reduction, these tumors showed DNA hypomethylation in the rest of the genome and exhibited increased H3K27me3 genomic enrichment at limited genomic loci similar to H3K27M mutant gliomas. Combined integrative analysis of PF-ve ependymomas with H3K27M gliomas uncovered common epigenetic deregulation of select factors that control radial glial biology, and PF radial glia in early human development exhibited reduced H3K27me3. Finally, H3K27me3 immunostaining served as a biomarker of poor prognosis and delineated radiologically invasive tumors, suggesting that reduced H3K27me3 may be a prognostic indicator in PF ependymomas.
An Evaluation of a Telecommunication Model for Training Staff to Implement Common Behavioural Protocols

Telecommunication models have been shown to increase the accessibility of effective behavioural services by training mediators to implement evidence-based protocols with children with autism spectrum disorder (ASD). Behavioural skills training (BST), an evidence-based procedure, has been shown to be effective for training staff when delivered via a telecommunication model. Further evaluation is needed to assess generalization of trainee outcomes to clinical settings and untrained procedures, and the corresponding effects of training staff on child outcome measures. The purpose of this study was to assess the efficacy of BST delivered through videoconferencing software for training behaviour technicians to implement errorless learning protocols (e.g., trained skill) to an actor role playing a child with ASD. A concurrent multiple-baseline design across three behaviour technicians was used to assess the generalization of any training effects to: working with a child, implementing a similar untrained skill (e.g., paired stimulus preference assessment) and on child skill acquisition outcomes on individualized programming. Across three behaviour technicians, the average mean shift from baseline to post-training was 27.1% (trained skill) and 58% (untrained skill). Improved performance of the trained skill with a research assistant was maintained over 80% accuracy for all three behaviour technicians, but only one behaviour technician’s performance generalized to working with a child. Mixed results were found for child outcomes. Implications and future directions are discussed.
Does knowledge management practice produce accounting employee productivity in the tourism business in Thailand?

ABSTRACT This study examined the role of knowledge management practices in accounting employee productivity in the tourism industry in Thailand. A convenience sample of 191 accounting employees from Thailand’s tourism industry completed a questionnaire. Partial least squares structural equation modelling (PLS-SEM) was used to test the hypotheses. The results of the study showed that knowledge management practice had a positive relationship with financial statement quality, financial statement users’ satisfaction, organizational image creation, and a true and fair view of accounting information in this field. The findings provide valuable information for accounting departments in tourism businesses throughout Thailand, which can be applied to the development of effective target-knowledge management strategies.
Impact of the stock market, major currencies, precious metals and central banks on the volatility of Bitcoin

Volatility is one of the most important risk characteristics of an asset. Recently, the interest in Bitcoin has increased, but despite Bitcoin’s large volatility, research in this field is limited. We therefore study how the volatility of Bitcoin is influenced by the volatility and returns of major currencies, the stock market, and gold and silver. Moreover, we investigate if central bank interest rate announcements a↵ect the volatility of Bitcoin. We use the logarithmic HAR model in our study. Findings indicate that neither currencies, nor the stock market, nor precious metals can explain the volatility of Bitcoin. Furthermore, we find no evidence of central bank interest rate announcements having a systematic influence on the volatility of Bitcoin. This indicates that Bitcoin is a unique asset class unrelated to traditional
MONTH OF BIRTH AND SOCIOECONOMIC OUTCOMES OF ADULTS: EVIDENCE FROM BRAZIL

This study provides evidence of the relationship between the season of birth and the socioeconomic outcomes of adults in Brazil. We find that individuals born during the summer months have worse health outcomes, educational attainment and earnings compared with persons born in other months. These results emphasize the importance of seasonal patterns in affecting environmental conditions at the time of birth and explaining the children‟s health and future socioeconomic outcomes among adults. Our results may have some implications for public policy, because they suggest that seasonal variations in health at birth matter for later socioeconomic outcomes. Thus, the understanding of the seasonal deterioration in the birth health outcomes and its implications may be useful for that the policy interventions focused on early-life conditions could effectively enhance the development of human capital among Brazilians.
Innovative Moments in Group Therapy: Analyzing voices of group change

Abstract The Innovative Moments Coding System has been used for studying therapeutic change. However, there has hardly been any research on its application in group therapy and on how new I-positions emerge in groups. Based on the literature review on group therapy, constructivist therapy, and the dialogical self theory this article proposes three new types of innovative moments to study the complex interaction present in group interventions. These innovative moments group types are illustrated by contrasting two cases, Ángel and Zacarías, in a group that is centered on recovering from self-stigma in patients with a severe mental disorder. The results show a different group innovative moment profile in these two cases. This adaptation of the innovative moments model can be used to track how different voices from different participants interact and are integrated in the group dynamics. Lastly, this article also highlights some clinical implications for group work and group change from a dialogical perspective.
Hospital-Based Clinical Pharmacy Services to Improve Ambulatory Management of Chronic Obstructive Pulmonary Disease

Background: No systematic evaluations of a comprehensive clinical pharmacy process measures currently exist to determine an optimal ambulatory care collaboration model for chronic obstructive pulmonary disease (COPD) patients. Objective: Describe the impact of a pharmacist-provided clinical COPD bundle on the management of COPD in a hospital-based ambulatory care clinic. Methods: This retrospective cohort analysis evaluated patients with COPD managed in an outpatient pulmonary clinic. The primary objective of this study was to assess the completion of 4 metrics known to improve the management of COPD: (1) medication therapy management, (2) quality measures including smoking cessation and vaccines, (3) patient adherence, and (4) patient education. The secondary objective was to evaluate the impact of the clinical COPD bundle on clinical and economic outcomes at 30 and 90 days post–initial visit. Results: A total of 138 patients were included in the study; 70 patients served as controls and 68 patients received the COPD bundle from the clinical pharmacist. No patients from the control group had all 4 metrics completed as documented, compared to 66 of the COPD bundle group (P < .0001). Additionally, a statistically significant difference was found in all 4 metrics when evaluated individually. Clinical pharmacy services reduced the number of phone call consults at 90 days (P = .04) but did not have a statistically significant impact on any additional pre-identified clinical outcomes. Conclusion: A pharmacist-driven clinical COPD bundle was associated with significant increases in the completion and documentation of 4 metrics known to improve the outpatient management of COPD.
Parasitology in Veterinary Medicine

Parasitology for basic and advanced studies and veterinary practice. The classical textbook Parasitology in Veterinary Medicine, now available in an updated English version, is not only ideal for exam preparation but is also of relevance in veterinary practice. The book allows easy and structured learning by providing a clear outline of the subject matter and practical chapter summaries. All relevant protozoa, helminths and arthropods that cause parasitic diseases or act as vectors of pathogens are presented. Overviews of treatment and control measures are given per animal species and enables rapid contextual orientation. Zoonotic and food-borne parasites are also discussed. Memorable life cycles of parasites and excellent colour photographs of the clinical symptoms and pathological changes illustrate the contents. Diagnostic panels allow for rapid differentiation of the developmental stages under the microscope. In the glossary numerous technical terms are defined and explained etymologically.
Electromagnetic analysis of heterogeneous woven fabric composite laminates

Defense and aerospace industries have been utilizing composite materials for a range of benefits for many decades. For example, composite materials have been shown to have a low thermal conductivity, high strength, low weight, and be corrosion resistant. More recently composites have been used for multifunctional applications that combine good mechanical properties with desirable electromagnetic (EM) properties. For example, some research groups have attempted the integration of RF subsystems (e.g., Frequency Selective Surfaces, Reflect Arrays, Planar Antenna Arrays) into a more complex composite structure. Integrating the EM behavior of the composite in the initial design phase would present an immense benefit to the composite manufacturers. This dissertation presents a methodology for quantifying the EM response of heterogeneous composite laminates. The design workflow can be seen as three step process: 1) determine the effective material properties of all the constituent materials within the composite fabric weave, 2) assign material properties to a repeating-unit-cell (RUC) geometric model which accurately represents the weave morphology, and 3) determine the scattering coefficients from the developed fabric. Step one requires knowledge of the EM properties of the constituent materials over a broad spectrum of frequencies. For low loss dielectric composite materials like glass, the effective properties are typically determined using effective media equations. However, for composites that include high conductivity materials like carbon, those previous models are potentially no longer accurate. This work demonstrates a method for calculating the effective material properties of an arbitrary multiphase material by using a semi-analytic boundary value technique which numerically determines all EM fields of an arbitrary collection of N-layered 2-D cylinders. These fields are used to define a single, effective, homogeneous isotropic cylinder whose bistatic scattering
EFFECTS OF RIMONABANT ON ACTIVE AVOIDANCE LEARNING IN BULBECTOMIZED RATS

The abnormal activity of endocannabinoid system has been implicated in the mechanisms of some psychiatric and neurological disorders. Olfactory bulbectomy (OBX) is an animal model of depression. We examined the effect of the CB1 antagonist Rimonabant (RIM) on the learning and memory processes of OBX rats tested in an active avoidance paradigm. RIM was administered by intragastric cannula to OBX rats once daily for 14 days. OBX rats were divided into three groups, and RIM was given before; immediately after; or 14 days after OBX. RIM showed a memory enhancing effect in the sham-operated rats and partially ameliorated the memory disturbances induced by the bulbectomy, given before OBX or 14 days after OBX. Only upon administration immediately after OBX, it prevented the development of the memory deficits. The study provides evidence that impaired endocannabinoid signalling may be involved in the development of cognitive deficits accompanying the OBX syndrome.
We Are Strong: Strategies for Fostering Body Empowerment in a Boxing Program for Middle School Girls

Abstract Many sport programs focus on teaching youth life skills that can be transferred to contexts outside the sport setting. One such program is “She Hits Hard,” an afterschool boxing program for middle school girls with the aim of building positive body image and fostering body empowerment. The program utilized the Teaching Personal and Social Responsibility (TPSR) model, which allowed for the integration of non-contact boxing techniques with life skill development. This article details the program model and program description as well as specific strategies that were incorporated into the program to foster body empowerment in female adolescents.
The Impact of Governmental Intervention on the Association between Initial Public Offering and Future Stock Issuance

We examine the effect of initial public offering (IPO) characteristics on seasoned equity offering (SEO) decisions in relation to governmental intervention in China. Our results confirm the process of underpriced IPOs in promoting earlier and larger SEOs in the Chinese context. The study examines three channels through which the Chinese government intervenes in equity issuance activities, namely state ownership, politically connected executives and economic development areas. We find that the connection between IPOs and SEOs becomes less apparent in government‐intervened firms. We attribute these results to the conflict between the state and minority shareholders, which leads to high uncertainty and risk in government‐intervened firms.
A Novel Method for Arbitrage-Free Option Surface Construction

In this paper, we provide an alternative framework for constructing an arbitrage-free European-style option surface. The main motivation for our work is that such a construction has rarely been achieved in the literature so far. The novelty of our approach is that we perform the calibration and interpolation in the put option space. To demonstrate the applicability of our technique, we extract the model-free implied volatility from S&P 500 index options. Subsequently, we compare its information content to that of the CBOE VIX index. Our empirical tests indicate that information content of the option-implied volatility values based on our method are superior to the VIX index.
Essais sur l'estimation structurelle de la demande

L’estimation structurelle des modeles de demande sur des marches de produits differencies joue un role important en economie. Elle permet de mieux comprendre les choix des consommateurs et, entre autres, de mesurer les effets d’une fusion d’entreprise, de l’introduction d’un nouveau produit sur le marche ou d’une nouvelle regulation. L’approche traditionnelle consiste a specifier un modele d’utilite, typiquement un modele d’utilite aleatoire additif, a en calculer ses demandes et a inverser ces dernieres pour obtenir des equations de demande inverse qui serviront de base pour l’estimation. Toutefois, en general, ces demandes inverses n’ont pas de forme analytique. L'estimation exige donc une inversion numerique et l’emploi de procedures d’estimation non-lineaire, qui peuvent etre difficiles a mettre en oeuvre et chronophages.Cette these adopte une approche differente, en developpant de nouveaux modeles de demande inverse qui sont coherents avec un modele d’utilite de consommateurs heterogenes. Cette approche permet de capter de facon plus flexible les substitutions entre les produits, grâce a de simples regressions lineaires basees sur des donnees incluant les parts de marche, les prix et les caracteristiques des produits. Le premier chapitre de cette these developpe le modele inverse product differentiation logit (IPDL), qui generalise les modeles logit emboites, permettant ainsi de capter de facon flexible les substitutions entre les produits, y compris de la complementarite. Il montre que le modele IPDL appartient a une classe de modeles de demande inverse, nommee generalized inverse logit (GIL), laquelle inclut une grande majorite de modeles d’utilite aleatoire additifs qui ont ete utilises a des fins d'estimation de la demande. Le second chapitre developpe le modele flexible inverse logit (FIL), un modele GIL qui utilise une structure de nids flexible avec un nid pour chaque pair de produits. Il montre que le modele FIL, projete dans l’espace des caracteristiques des produits, permet d’obtenir des elasticites-prix qui dependent directement des caracteristiques des produits et, en utilisant des simulations de Monte-Carlo, qu’il est capable de reproduire celles du "flexible" modele logit a coefficients aleatoires. Le troisieme chapitre etudie la micro-fondation du modele GIL. Il montre que les restrictions que le modele GIL impose sur la fonction de demande inverse sont des conditions necessaires et suffisantes de coherence avec un modele de consommateurs heterogenes maximisant leur fonction d’utilite, connu sous le nom de perturbed utility model (PUM). Il montre egalement que tout modele GIL genere une fonction de demande qui satisfait une legere variante des conditions de Daly-Zachary, laquelle permet de combiner substituabilite et complementarite en demande.