Miracle-dz/UniFAR-FTUs huggingface dataset:
Knight's Forensic Pathology

The Forensic Autopsy The Pathophysiology of Death The Establishment of Identity of Human Remains The Pathology of Wounds Head and Spinal Injuries Chest and Abdominal Injuries Self-Inflicted Injury Gunshot and Explosion Deaths Transportation Injuries Abuse of Human Rights: Deaths in Custody Burns and Scalds Electrical Fatalities Complications of Injury Suffocation and 'Asphyxia' Fatal Pressure on the Neck Immersion Deaths Neglect, Starvation and Hypothermia Deaths Associated with Sexual offences Deaths Associated with Pregnancy Child Homicide Sudden Death in Infancy Fatal Child Abuse Deaths Associated with Surgical Procedures Dysbaric Fatalities and Barotrauma The Pathology of Sudden Death Forensic Dentistry for the Pathologist Poisoning and the Pathologist Forensic Aspects of Alcohol Carbon Monoxide Poisoning Organophosphorus Poisoning Poisoning by Medicines Death from Narcotic and Hallucinogenic Drugs Corrosive and Metallic Poisoning Deaths from Organic Solvents Appendix
Access in pediatric emergency department for respiratory infectious disease

Objectives: The aim of this study was to evaluate the prevalence of respiratory symptoms as motive for emergency room visits by pediatric patients, describing the major clinical syndromes.Methods: Study population is composed of children aged 1 month - 16 years who presented at our emergency room with respiratory symptoms, over a 5-year period (from September 2008 to December 2013). Results: The first year of life age group was most affected by respiratory problems. During the first 4 months of life, male patients represented the larger number of pediatric emergency room visits for respiratory problems. Bronchospasm emerged as the most frequent (36%) respiratory problem.Conclusions: We describe the epidemiological profile of pediatric patients presenting at an emergency room with respiratory symptoms, finding a high prevalence of access to pediatric emergency room for upper and lower respiratory infections.
Diminished self-concept and social exclusion: Disparagement humor from the target’s perspective

ABSTRACT Two experiments (Total N = 393) demonstrated that disparagement humor can trigger a social identity threat for members of the targeted group resulting in perceptions of a diminished possible self and feeling socially excluded. Experiment 1 (N = 278) revealed that, upon exposure to humor disparaging one’s political in-group (versus political out-group disparagement humor or non-political disparagement humor), both conservatives and liberals perceived a social identity threat manifested in more negative representations of their possible selves and feelings of social exclusion. Experiment 2 (N = 97) provided a conceptual replication of these findings showing that women exposed to sexist humor experienced social identity threat exhibited in a more negative representation of their possible selves and feelings of social exclusion.
Ethnomedicinal studies of the woody species of Kalrayan & Shervarayan Hills, Eastern Ghats, Tamil Nadu

Some ethnobotanical observations have been made amongst the aboriginals of the Shervarayan & Kalrayan hills of Eastern Ghats in Tamil Nadu. The paper describes ethnomedicinal importance of 60 woody species belonging to 51 genera and 34 families. Data are based on extensive survey, observations and discussions with tribal and rural people of this region. In forests of both Shervarayan & Kalrayan hills, locals have converted a substantial portion of forests into cultivated lands. The importance of recording the usage of plants in this region is imperative because of rapid loss of forest wealth and traditional wisdom. Intensive action plan need to be immediately implemented for sustainable use of forest resources together with the ethnobotanical knowledge base of the forest dwellers. In view of the various resources use, habitat uniqueness and anthropological pressure on the forest resources, the need for conservation is stressed.
Diversity and Group Creativity

It is often presumed that diversity of group members will enhance group creativity. However, the evidence for this has been mixed. This chapter summarizes the state of the science in this area and provides an integrative framework based on the categorization elaboration model of van Knippenberg and colleagues. It focuses on the factors that influence the expression of diverse perspectives, attention to such expressions, the elaboration of the shared ideas, and how these lead to creative outcomes. It evaluates the importance of identity factors in this process and discusses the potential impact on both divergent and convergent creativity. It notes some of the gaps in the literature and suggests future directions.
The disinformation landscape and the lockdown of social platforms

ABSTRACT This introduction to the special issue considers how independent research on mis/disinformation campaigns can be conducted in a corporate environment hostile to academic research. We provide an overview of the disinformation landscape in the wake of the Facebook-Cambridge Analytica data scandal and social platforms’ decision to enforce access lockdowns and the throttling of Application Programming Interfaces (APIs) for data collection. We argue that the governance shift from user communities to social media algorithms, along with social platforms’ intensive emphasis on generating revenue from user data, has eroded the mutual trust of networked publics and opened the way for dis/misinformation campaigns. We discuss the importance of open, public APIs for academic research as well as the unique challenges of collecting social media data to study highly ephemeral mis/disinformation campaigns. The introduction concludes with an assessment of the growing data access gap that not only hinders research of public interest, but that may also preclude researchers from identifying meaningful research questions as activity on social platforms becomes increasingly more inscrutable and unobservable.
Stability of Fuzzy Cognitive Maps with Interval Weights

In fuzzy cognitive maps (FCMs) based modelling paradigm, the complex system’s behaviour is gathered by the causal connections acting between its main characteristics or subsystems. The system is represented by a weighted, directed digraph, where the nodes represent specific subsystems or features, while the weighted and directed edges express the direction and strength of causal relations between them. The state of the complex system represented by the so-called activation values of the nodes, that is computed by an iterative method. The FCM based decision-making relies on the assumption that this iteration reaches an equilibrium point (fixed point), but other types of behaviour, namely limit cycles and chaotic patterns may also show up. In practice, the weights of connections are estimated by human experts or machine learning methods. Both cases have their own uncertainty, which can be represented by using intervals as weights instead of crisp numbers. In this paper, sufficient conditions are provided for the existence and uniqueness of fixed points of fuzzy cognitive maps that are equipped with interval weights, which also ensure the global asymptotic stability of the system.
Naturally Occurring Asbestiform Minerals in Italian Western Alps and in Other Italian Sites

The natural occurrence of asbestos (NOA) in rocks and soil has been known for many years in several areas of the world, differently from the natural presence of asbestiform minerals. In Italy, the mapping of NOA is mandatory according to the 2001 and 2003 regulations. An investigation, not yet concluded, has revealed that in Italy, NOA is represented by chrysotile and tremolite asbestos with minor amounts of actinolite asbestos and anthophyllite asbestos. A field survey conducted in the Italian Western Alps (IWA), dealing with the natural occurrence of asbestiform minerals non-asbestos classified and not regulated, started many years ago and is still ongoing. It revealed that the following kinds of asbestiform silicates are present (in decreasing order of frequency): asbestiform polygonal serpentine and asbestiform antigorite, asbestiform diopside, asbestiform carlosturanite, asbestiform forsterite, asbestiform sepiolite, asbestiform balangeroite, and asbestiform talc. The asbestiform non-silicates brugnatellite and brucite have been rarely detected. Outside the IWA, asbestiform zeolite (erionite and offretite), asbestiform sodium amphibole (fluoro-edenite), and a few other asbestiform silicates have been also detected. For some asbestiform minerals, the identification is problematic and needs the use of transmission electron microscopy combining imaging at high magnification and electron diffraction and chemical data. This investigation is particularly important to distinguish four kinds of asbestiform minerals (antigorite, polygonal serpentine, carlosturanite, and balangeroite) from chrysotile since only the last one is regulated. The issue is much more complicated by the intergrowth of different fibrous species on the submicrometer scale.
CONDITIONAL PRICING MODEL WITH HETEROSCEDASTICITY: EVALUATION OF BRAZILIAN FUNDS

ABSTRACT Empirical studies have revealed that the conditional Capital Asset Pricing Model (CAPM) has a higher explanatory power than its unconditional version, particularly for the model in state-space form where the beta is estimated using Kalman filter. Most empirical analyses are based on stock portfolios to explain financial anomalies, but only a few studies proposed improving investment fund performance. The main contribution of this study is the assessment of Brazilian investment funds through traditional measures estimated from the CAPM model in state-space form with heteroscedastic and homoscedastic errors compared to alternative models, such as the unconditional CAPM and a four-factor model. Using a sample of stock funds from May 2005-April 2015, the results indicate that the conditional CAPM model produces better results than the alternative models, providing better performance evaluation practices for funds in both stock-picking and market-timing ability.
A Multimodal Analysis of Two Publications Intended for the Oral, Head and Neck Cancer Patient

Acknowledgments I wish to gratefully acknowledge the thoughtful contributions by my thesis committee chair, Dr. Marjorie Rush Hovde, and my thesis committee members, Drs. Scott Weeden and Mark Henderson. Thank you for sharing your time and your individual gifts, for helping me grow as a writer and researcher, and for holding me accountable to the highest possible standards.
YouTube and Facebook: Online Video "Friends" Social Networking

This paper examines the links to YouTube from the Facebook “walls” of Barack Obama, Hillary Clinton, and John McCain over two years prior to the 2008 U.S. Presidential election. User-generated linkage patterns show how participants in these politically-related social networking dialogues used online video to make their points. We show a strong integration of the Web 2.0 and new media technologies of social networking and online video. We argue that political discussion in social networking environments can no longer be viewed as primarily textual, and that neither Facebook nor YouTube can be viewed as isolated information environments. Their interlinkage pattern, combined with links to other sites, provides a multidimensional communication environment which participants must navigate in order to gain a full understanding of the issues. Civic life is becoming more sociotechnical, and will therefore involve engagements with ideas as they are constructed by others out of disparate information sources and their interlinkages. YouTube and Facebook 1
Supporting instructional leadership and school improvement? Reflections on school supervision from a German perspective

Purpose The purpose of this contribution is to draw on several recent contributions from the Journal of Educational Administration to reflect on the relationship between school supervision and educational leadership. Design/methodology/approach The German context of school supervision was first laid out. A comparative analysis of all contributions was then performed against the backdrop of the German context. Findings One finding from the analysis of the relationship between school supervision and educational leadership from a German perspective is the need to have structures of (mandatory) further training and development in place at the level of school principalship and school supervision. These structures represent building blocks for capacity building and for shifting cultures over time. Without reliable vehicles of professional development for all concerned parties, both school supervisory authorities and principals risk staying stuck in old professional identities that no longer match their current missions or emergent national aspirations. Originality/value This paper sheds a light on the complex relationship between school supervision, school leadership and school performance. The findings from the papers analyzed for this paper point to issues which scholars have been pondering about for decades now: Can supervision and support be successfully implemented within one agency? How can a supervisory authority change its professional identity? What combination of supervision, support and space creates conditions favorable to successful educational leadership and school improvement?
The use of computer-based learning tools for teaching and clinical purposes: Interactive computing strategy for Iraq

Medical universities and teaching hospitals in Iraq are facing a lack of professional staff due to the ongoing violence that forces them to flee the country. The professionals are now distributed outside the country which reduces the chances for the staff and students to be physically in one place to continue the teaching and limits the efficiency of the consultations in hospitals. A survey was done among students and professional staff in Iraq to find the problems in the learning and clinical systems and how Information and Communication Technology could improve it. The survey has shown that 86% of the participants use the Internet as a learning resource and 25% for clinical purposes while less than 11% of them uses it for collaboration between different institutions. A web-based collaborative tool is proposed to improve the teaching and clinical system. The tool helps the users to collaborate remotely to increase the quality of the learning system as well as it can be used for remote medical consultation in hospitals.
The Demon Under The Microscope: From Battlefield Hospitals to Nazi Labs, One Doctor's Heroic Search for the World's First Miracle Drug

What do you do to start reading the demon under the microscope from battlefield hospitals to nazi labs one doctors heroic search for the worlds first miracle drug? Searching the book that you love to read first or find an interesting book that will make you want to read? Everybody has difference with their reason of reading a book. Actuary, reading habit must be from earlier. Many people may be love to read, but not a book. It's not fault. Someone will be bored to open the thick book with small words to read. In more, this is the real condition. So do happen probably with this the demon under the microscope from battlefield hospitals to nazi labs one doctors heroic search for the worlds first miracle drug.
Network Scientific and Information Theoretic Approaches to Social Media During Extreme Climate Events

In addition to the tragedy they cause, major natural hazard and disaster events place a large cost on the governments and aid organizations who help people prepare for and recover from them. Such organizations are in constant need of strategies for distributing aid efficiently and comprehensively. The emergence of social media in everyday life has provided a platform for such organizations to coordinate relief efforts and communicate with people affected by disasters. It also has allowed affected individuals to communicate with one another on a large scale. The present thesis examines the dynamics of Twitter during extreme climate events and their aftermath in order to shed light on potential strategies for aid providers. We begin by looking at the five most expensive natural disasters in the United States between 2011 and 2016. We isolate Twitter users for each disaster who are likely tweeting about food security or other basic needs during the event and its aftermath. We examine the follower count distributions of these users for each event. We then narrow focus to Hurricane Sandy, and look at the relationship between follower counts and relative increase in tweeting rate during the event. We find that users with fewer than 100 followers were more likely to increase their rate of tweet publication than influentials with many followers. We also use a synthetic model of Twitter’s communication network to mimic the way Twitter stores and samples tweet data. We quantify the sensitivity of three measures of network centrality to these mechanisms. This provides insight relevant to those who build network representations of Twitter communication using the data Twitter provides. We see differences in the sensitivity of the centrality measures studied, differences in sensitivity to the different mechanisms, and a dependence between measure and mechanism. Finally, we construct a network representation of Puerto Rican Twitter users surrounding Hurricane María and its aftermath. We examine the evolution of this network over time, and communities present within the aggregate network. Using information theoretic tools, we discern differences in the body of tweets between different communities in the network and different periods of time surrounding the hurricane’s landfall. We observe many differences between communities, with more focus on Puerto Rico in the community containing most local government figures, whereas major celebrities tended to talk about more general Latin American issues. We also hand-categorize Twitter users in the network as news outlets, politicians, citizens, weather stations, meteorologists, or journalists, finding that the distribution of user type has a temporal dependence.
Functional Symptoms in Fibromyalgia

ABSTRACT Objective. Functional symptoms and pain can change in intensity over time in patients with fibromyalgia. This study was done to determine whether there was any sufficient effect from 3 weeks of standardized physical therapy on functional symptoms in fibromyalgia in particular. Patients and Methods. An electronic diary (ED) was used by 23 patients with fibromyalgia (ACR criteria) twice a day for about 18 days of a 4-week hospital stay. The ED is computer-usable by patients themselves and is one of the latest methods for complaint monitoring. Results. The intensity of general pain decreased during the time course of the study. There was also a reduction of sleep abnormalities. In contrast to psychogenic pain conditions, the registrations showed that pain and functional symptoms did not vary much in their intensity. Conclusions. The examinations showed that the ED is a possibility for analyzing scientific tasks, but it is not a method for routine work.
Estimation of secondary forest parameters by integrating image and point cloud-based metrics acquired from unmanned aerial vehicle

Abstract. To better assess spatial variabilities in subtropical secondary forest biomass, the goal of the present study was to employ small-footprint, discrete-return light detection and ranging and unmanned aerial vehicles, integrated with structure from motion (UAV-SFM) data, to accurately estimate the stand characteristic parameters of subtropical forests. The Lorey’s height, density, basal area, volume, and aboveground biomass (AGB) of 30 plots (Ø10 m) were modeled using an array of SFM point cloud metrics and image color metrics (forestry vegetation coverage and color index set). Further, the individual models developed using stepwise multiregression analysis and a branch-and-bound algorithm were employed to examine the best models. Overall, the results indicated that the coefficient of determination (R2) for Lorey’s height (R2 = 0.58 to 0.95), volume (R2 = 0.29 to 0.71), and AGB (R2 = 0.27 to 0.64) were significantly enhanced compared with the density (R2 = 0.18 to 0.48), and basal area (R2 = 0.24 to 0.52). Utilizing independent stand-level data from ground inventory, our results revealed that, overall, the model fit was significant for most stand characteristic parameters, with relationships close to a 1:1 line, thereby indicating no significant bias [relative root mean square error ( rRMSE ) = 5.32 % to 27.04%]. Our image metrics had a statistically significant association with Lorey’s height (rRMSE decreased by 0.08%), volume (rRMSE decreased by 0.58%), and AGB (rRMSE decreased by 3.11%), which provided additional explanatory power in the regression analysis. This research demonstrated the potential of UAV-SFM as a technology to accurately assess subtropical forest carbon while providing an improved elucidation of the positive effects of image color metrics.
Observability of Boolean Networks With Redundant Channels

In this brief, observability of Boolean networks (BNs) with redundant channels is considered. Each output node with multi-channels is designed to receive the system state information under certain probabilities. By resorting to the semi-tensor product of matrices, the algebraic form of the proposed model is provided. An algorithm to verify the observability of the proposed model is then given by fully considering the randomness properties of the proposed model. In addition, a new observable BN with a set of redundant channels is proposed to improve the reliability of the BNs. Finally, two numerical examples are presented to illustrate the main results.
A hybrid binary artificial bee colony algorithm for the satellite photograph scheduling problem

ABSTRACT The satellite photograph scheduling problem has attracted increasing attention owing to its difficulty of solution and remarkable economic importance. The optimization problem involves scheduling the on-board cameras of the Earth observation satellite to gain more profit from the oversubscribed photograph requests. To tackle the real-world problem, a hybrid heuristic algorithm is developed. The algorithm skilfully integrates the common genetic operators and a well-designed two-phase repair operator into the evolutionary framework of an artificial bee colony. The performance of the proposed algorithm is compared with that of three state-of-the-art metaheuristics on an open test suite consisting of 20 benchmark instances and a new test set composed of 10 randomly generated large-scale problems. The experimental results indicate that the proposed algorithm achieves the best performance.