Miracle-dz/UniFAR-FTUs huggingface dataset:
Women referred for medium secure inpatient care: a population study over a six-year period

The need to map women’s secure hospital services in terms of patient population and service needs over time is acknowledged given: the increase in forensic and medium secure beds nationally; and limited gender specific analysis in previous studies. Data is presented relating to 65 consecutive admissions (over a 6-year period) to a women’s medium secure unit at three (14-month) time periods. Trends noted in population statistics include a decline in special hospital referrals and an increased proportion of prison referrals with an index offence of arson in the past two years in association with a lower level of cognitive functioning, and a higher level of assaultative behaviour. In accord with the responsivity principle (Ogloff & Davis, 2004 ) the implications for treatment and service planning for this changing population are discussed.
Seroprevalence of Mycoplasma Gallisepticum in Different Parts of India

A serological study in broiler breeders was conducted to know the prevalence of Mycoplasma gallisepticum (MG) in different states (n = 7) of India, in a period starting from January 2015 to July 2016. A total of 1, 285 sera samples were collected from the different states, and ELISA (Enzyme Linked Immuno Sorbent Assay) was conducted to know the antibodies titre against MG. Out of 1, 285 sera samples, 412 were found positive to MG and overall prevalence of 32.06% was observed. Seroprevalence of MG infection was found significantly (p < 0.05) higher during winter season (58.10%) than in summer (7.43%). Further prevalence was recorded in different age groups, with significantly (p < 0.05) higher occurrence in young birds (42.75%) compared with adults (10.46%). Out of seven states, much higher prevalence (50.00%) was observed in Telangana state, whereas lower prevalence (20.00%) was noticed in Karnataka.
Do Valuation (P/E, ROE and P/BV) Ratios Drive Stock Values? A Case of GCC Countries

Do valuation ratios predict the future stock prices? Over the decades, researchers have explored data across various global financial markets and across different timelines to seek its unique answer. The results though were not universal, resulted in generating greater interest in the subject. Using valuation ratios as a stock price predictor gained further momentum after Campbell and Shiller’s seminal work involving a century of data sets. In spite of its practical relevance, not much effort was being made to establish the correlation between valuation ratios and stock price of GCC listed companies. This paper attempts to bridge the existing gap by studying 140 publicly listed companies in the six GCC countries namely Qatar, Kuwait, Bahrain, Saudi Arabia, Oman and United Arab Emirates (UAE) using the multiple regression model. The period of study was between 2013-2017. Correlation is established for each of the countries individually, followed by an integrated approach. The independent variables used in the study are Price Earnings Ratio (P/E), Return on Equity (ROE), Price to Book Ratio (P/BV) and Stock Returns being the dependent variable.
Automatic analysis of magnetic resonance images of speech articulation

Magnetic resonance imaging (MRI) technology has facilitated capturing the dynamics of speech production at fine temporal and spatial resolutions, thus generating substantial quantities of images to be analysed. Manual processing of large MRI databases is labour intensive and time consuming. Hence, to study articulation on large scale, techniques for automatic feature extraction are needed. This thesis investigates approaches for automatic information extraction from an MRI database of dynamic articulation. We first study the articulation by observing the pixel intensity variations in image sequences. The correspondence between acoustic segments and images is established by forced alignment of speech signals recorded during the articulation. We obtain speaker-specific typical phoneme articulations that represent general articulatory configurations in running speech. Articulation dynamics are parametrised by measuring the magnitude of change in intensities over time. We demonstrate a direct correlation between the dynamics of articulation thus measured and the energy of the generated acoustic signals. For more sophisticated applications, a parametric description of vocal tract shape is desired. We investigate different shape extraction techniques and present a framework that can automatically identify and extract the vocal tract shapes. The framework incorporates shape prior information and intensity features in recognising and delineating the shape. The new framework is a promising new tool for automatic identification of vocal tract boundaries in large MRI databases, as demonstrated through extensive assessments. The segmentation framework proposed in this thesis is, to the best of our knowledge, novel in the field of speech production. The methods investigated in this thesis facilitate automatic information extraction from images, either for studying the dynamics of articulation or for vocal tract shape modelling. This thesis advances the state-of-the-art by bringing new perspectives to studying articulation, and introducing a segmentation framework that is automatic, does not require extensive initialisation, and reports a minimum number of failures.
Software reuse in Ada

What do you do to start reading software reuse with ada? 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 software reuse with ada.
Combining Descriptive and Discriminative Information for Person Re-Identification

A central task in many visual surveillance scenarios is person re-identification, i.e., recognizing an individual person across a network of spatially disjoint cameras. This is a very hard task for human operators and even harder for automated systems due to several challenges such as changes in viewpoint, pose, and illumination. To cope with these difficulties, most existing methods either try to find a suitable description of a person’s appearance or learn a discriminative model. Since these different representational strategies capture a large extent of complementary information, in this thesis, we propose to exploit both directions. In particular, we first introduce an application-focused approach of integrating a descriptive and a discriminative person model into a single system. Given a specific query person, we initially run a fast, descriptive stage, where appearance is captured by a set of region covariance descriptors. This allows us to quickly provide a preliminary search result to a human operator. In a second stage, the operator can then refine the thus obtained result by applying a discriminatively learned person model, which is based on boosting for feature selection. In this way, we can take advantage of both, the time efficiency of the descriptive as well as the improved accuracy of the discriminative model. The second part of this thesis is devoted to metric learning, a relatively new direction in the field of person re-identification. Although it provides a very elegant and mathematically principled fusion of descriptive and discriminative techniques, most existing metric learning approaches are not adapted to the task at hand and additionally suffer from high computational costs. Hence, in our work, we address these shortcom-
AUDIT OF CANCELLATION OF ELECTIVE SURGERIES IN A TEACHING HOSPITAL IN SOUTH INDIA

BACKGROUND: Cancellation of scheduled surgical procedures is an issue of healthcare quality as well as a major cause of waste of health resources. This results in emotional trauma and inconvenience to the patients and their families. AIM: The objective of this audit was to find out the prevalence and causes of cancellation so that solutions can be made out to improve the quality of healthcare. SETTINGS AND DESIGN: It was an observational study carried out in 400 bedded Teaching hospital in South India. METHODS AND MATERIALS: Elective surgeries scheduled in 400 bedded teaching hospital were studied from June 2014 to January 2015. On the day of surgery, the completed surgeries that were scheduled and the list of cancellations with the reason for cancellation were entered in separate registers, by the anaesthesiologist. STATISTICAL ANALYSIS: These data were analysed using Epi info software version 7. RESULTS: 2067 patients were scheduled for surgeries out of which 269 got cancelled resulting in 13.01% cancellations. The most common cause of cancellation was lack of operating time which was 43.12% of cancelled cases. CONCLUSION: Most of the reasons for cancellation were avoidable by judicious scheduling of lists and careful planning by the team involved in surgeries.
Opinions of different profession working people related men nurse

Aim: The aim of this study was to determine opinions of different profession working people related men nurse. Methods: The universe of the study was identified as 304 people from employed academics in Ahi Evran University center campus (187), teachers in Kirsehir Cumhuriyet Primary School (107), and police officers in Kirsehir Ahi Police Station and in Riot Police Unit (100). All students in universe were included in the study but 18 % of whom were not taken into consideration so the research was carried out with 323 voluntary people. This study data was collected that a questionnaire form developed by the researchers was used as the data gathering tool in the period 14 January-15 March 2008. Results: It was found that participants in this study were academics 42.1 %, police officers 31.0 % and 26.9 % teachers. The mean age of the participants was 37.09 ± 7.93 years, 78.0 % of them were male, 22.0 % of them female, and 34.7 % bachelor. It was determined that 69.3 % of the participant's had awarded men nurse. 66.9 % of these participants had determined that this condition was informed by media. 58.5 % of participants reported that to be ignorant of how to call men nurse. 45.8 % of them reported men nurse wears normal dress upon white laboratory coat, 37.5 % of them reported men nurse wears nursing uniform. 53.6 % of participants reported that community were to reply in the affirmative at men nurse, 85.8 % of them male can also do female nursing, and 78.3 % of them men were also nurse. Conclusions: Different profession working people opinions are affirmative at men nurse.
Nationhood and Statehood: The Impact of a Conflated Discourse on African Polities and Their Non-Dominant Ethnic Groups

It is now conventional to refer to post-colonial African polities as ‘nations’ or ‘nation-states’. However, in this article I argue that the conflation of nationhood and statehood has led to the violation of the rights of non-dominant ethnic groups to meaningful political participation, equitable economic opportunities, ethnic identity, and secession. Thus this conflation leads to an on-going lack of legitimacy in postcolonial African states, thereby exposing them to perpetual neocolonial domination. Key words : nation, state, nation-state, ethnicity, neocolonialism
Finite Resources, Increasing Demands: Rural Children Left Behind? Educators Speak Out on Issues Facing Rural Special Education

Current legislative mandates for schools to bring all students to the proficient level on state content standards by 2014 have been both commended and criticized by stakeholders across the nation. Schools are expected to meet this challenge by employing only highly qualified teachers who are well versed in content and the use of evidence-based practices. They must document adequate yearly progress toward proficiency for all students, including those with disabilities. Most groups praise the accountability that accompanies these mandates; however, concerns have been voiced by some educators about their impact on rural schools as well as their implications for special education services. Various stakeholders in rural areas across the country were surveyed to examine the perceived impact of the NCLBA mandates for highly qualified teachers and adequate yearly progress. Qualitative research methods were used to analyze responses to open-ended questions asking participants to expand on special education issues related to qualifications of highly qualified teachers, documentation of adequate yearly progress and other general concerns. Some common themes emerged related to the unique circumstances of rural schools as well as the potential impact of NCLBA on rural special educators and special education programs.
Risk-Averse and Self-Interested Shifts in Groups in Both Median and Random Rules

The purpose of this study was to determine whether attitudes toward risk and altruism are affected by being in a group or being alone. In contrast to previous economic research on group decision-making, we excluded the effects of group informal discussions, which are thought to be a “black box” when individuals make decisions in a group. In this regard, the subjects in our experiment were only requested to show their faces to the other members, without further communication. Moreover, we adopted two collective decision rules, i.e., the median rule and the random rule, which provide the truth-telling mechanism. In the experiments of both anonymous investment and donation, we found that the subjects who made decisions in a group offered significantly lower amounts than those who made decisions alone, after controlling for individuals’ risk and altruistic preferences. The findings imply that people are more risk-averse and self-interested when they are in a group, regardless of which collective decision rules are adopted.
Virtual Hatred: How Russia Tried to Start a Race War in the United States

During the 2016 U.S. presidential election, the Russian government engaged in a sophisticated strategy to influence the U.S. political system and manipulate American democracy. While most news reports have focused on the cyber-attacks of Democratic Party leaders and possible contacts between Russian officials and the Trump presidential campaign, a more pernicious intervention took place. Throughout the campaign, Russian operatives created hundreds of fake personas on social media platforms and then posted thousands of ads and messages that sought to promote racial divisions in the United States. These were coordinated propaganda efforts. Some Facebook and Twitter posts denounced the Black Lives Matter group; other posts condemned the white nationalist movement. And some called for violence. To be clear, these were posts by fake personas created by Russian operatives. But their effects were real. The purpose of this strategy was to manipulate public opinion on racial issues and disrupt the political process. This Article examines Russia’s actions and considers whether they violate the international prohibitions against racial discrimination and hate speech.
Localized public investment and agricultural performance in Malawi: An econometric approach

Using panel data econometric techniques, this paper evaluates how public expenditure influences agricultural performance at the district level in Malawi by empirically estimating localized expenditure multipliers for the districts. The results of the analysis show that public expenditures in agriculture have generally positive but variable impacts on agricultural growth at the district level. The paper also finds that there are substantial differences in terms of fiscal multipliers among the districts: most of these multipliers lie below one, although some are above one, while a few are negative. These results confirm that increasing public expenditures in agriculture can yield modest but positive impacts on agricultural productivity. The realization of improved impacts partly depends on both enhancing the quality of public spending and improving the health of public finances across the districts of Malawi.
The Effectiveness of Targeted Interventions for Children Exposed to Domestic Violence: Measuring Success in Ways that Matter to Children, Parents and Professionals

The ultimate goal of trials is to identify interventions that can benefit individuals in the future. It is crucial, therefore, that they measure outcomes that reflect the priorities and expectations of those using the interventions. We consider this issue in relation to trials of interventions for children exposed to domestic violence and abuse (DVA). To explore this, we drew on data collected as part of a larger study to consider whether the types of outcomes measured in clinical trials reflect: (1) the perceived benefit of interventions reported in qualitative evaluation studies; and (2) the views of parents, professionals and young people as to what constitutes a ‘good outcome’. We found that trials most frequently evaluated changes in children's symptoms and disorders, whereas children and parents, along with practitioners, had broader concepts of success that extended beyond narrow health-focused outcomes. A number of studies measured other types of outcomes, although there was inconsistency in the types of outcomes that were measured. Based on these findings, we discuss the need to reach consensus on an expanded set of outcomes to be measured in child-focused DVA trials. This will mean that the effectiveness of interventions is judged against outcomes that are important to those who use interventions. It will also facilitate greater consistency in outcome measurement across studies, thereby enhancing the quality of evidence in this emerging field. Copyright © 2015 John Wiley & Sons, Ltd. ‘Need to reach consensus on an expanded set of outcomes to be measured in child-focused DVA trials’ Key Practitioner Messages In order to adequately assess what works to reduce the impact of domestic violence on children, researchers should: Work with stakeholders to understand which outcomes are important to them. Seek consensus about a standardised set of outcomes to be measured and reported in all trials. Ensure that the success of interventions is measured against these outcomes.
Endoscopic Repair of Congenital Choanal Atresia without Stenting at Queen Rania Pediatric Hospital

Objective: To evaluate the effectiveness of endoscopic repair of congenital choanal atresia by removing the posterior aspect of the vomer bone along with the atretic plate without stenting. Methods: This retrospective study included 16 children aged (6 days-13 years) who presented or referred to Queen Rania Hospital with congenital choanal atresia. Patients who had unilateral, bilateral, primary or revision cases were included in the study. All patients underwent endoscopic repair by removing the posterior aspect of the vomer bone along with the atretic plate without stenting. All patients were followed up for 18 months. Results: Four patients were males, 12 were females. Three cases had bilateral atresia, one of them was revision. 13 cases were unilateral, 5 of them were revision cases. In unilateral cases the right side was involved in 8 cases and 5 in the left side. All cases were repaired endoscopically without stenting, only one patient out of 16 patients needed revision surgery. Conclusion: Endoscopic repair of choanal atresia (unilateral or bilateral, primary or secondary) without stenting is an effective and safe method of treating choanal atresia with a high success rate.
Transition Metal-Doped Lithium Titanium Oxide Nanoparticles Made Using Flame Spray Pyrolysis

Defect spinel phase lithium titanate (Li4Ti5O12) has been suggested as a promising negative electrode material for next generation lithium ion batteries. However, it suffers from low electrical conductivity. To overcome this problem conduction path length can be reduced by decreasing the primary particle size. Alternatively the bulk conductivity of Li4Ti5O12 can be increased by doping it with a conductive additive. In this paper a steady, single-step gas-phase technique for lithium titanate synthesis that combines both approaches is described. The process is used to produce doped Li4Ti5O12 nanoparticles with primary particle size of only 10 nm. The product is found to consist of single-crystalline nanoparticles with high phase and elemental purity. Two dopant materials are tested and found to behave very differently. The silver dopant forms a separate phase of nanometre-sized particles of metallic silver which agglomerate with Li4Ti5O12. The copper dopant, on the other hand, reacts with the lithium titanate to form a double spinel phase of Li3(Li1−2𝑥Cu3𝑥Ti5−𝑥)O12.
Survivorship experiences of working-age adults previously treated for oropharyngeal cancer. Moving towards a post-treatment self, its hidden impact and an absence of recognition: An interpretative phenomenological analysis.

Incidence of oropharyngeal cancer continues to increase in many countries worldwide, largely due to human papilloma virus (HPV) 16 & 18. Treatment for oropharyngeal cancer can result in long-term side effects. There may be enduring societal costs associated with the long-term physical and psychological side effects of treatment. Current literature suggests HPV may negatively affect a person’s lived post-treatment experience. However, there is little evidence to support this. Aim The aim was to explore the participants’ lived experience of survivorship following treatment for oropharyngeal cancer. From this, recommendations are made to inform future research. Method Twelve participants were recruited through two oncology centres in England. Participants were of working age and had completed active treatment between six months and five years prior to interview. A single interview was conducted with each participant. Interpretative phenomenological analysis (IPA) was used to inform the design and analysis. Consistent with IPA, the participants' individual experiences were analysed descriptively, conceptually and linguistically. Results All participants spoke about the physical side effects of treatment. Several described difficulties in coming to terms with a post-treatment self. These difficulties were exacerbated by the lack of visible outward change, thereby causing others to disregard the significance of their experience. There was a desire from some for external recognition of their experience. In attempting to establish a post-treatment self, those previously treated for oropharyngeal cancer may attempt to seek recognition for their experience. Gaining recognition can often be hampered due to the hidden nature of the experience to the outside world. Recommendations Several areas are suggested for future research. These include experiential research involving oropharyngeal cancer patients and their relatives, and people’s experiences of choice and informed consent. Auditing existing provision of supportive care post-treatment and exploring adaptation and recognition in a larger patient sample would also be beneficial for our understanding of this group.
Students’ attitudes toward high-immersion virtual reality assisted language learning

This pilot study delivers a preliminary report on students’ attitudes toward Virtual Reality Assisted Language Learning (VRALL). Learners (N=22) participated in a VRALL lesson and then completed a post-experience survey. Virtual Reality (VR) technology allows for learning experiences that increasingly remove geographic limitations to foreign language learners. Thanks to multisensory features of VR, including 360-degree, three-dimensional visualizations, students’ experiences are highly immersive. Descriptive statistics provide preliminary evidence that VR technology is engaging and immersive for learners. Moreover, VR could play a role in Computer Assisted Language Learning (CALL), especially when pitfalls such as cybersickness are overcome.