Miracle-dz/UniFAR-FTUs huggingface dataset:
Uncertain loyalties. Ways of Belonging and Non-belonging of the Migrants in Transnational Social Fields

The concepts of inclusion and integration are significant parts of both academic and public discourses on migration. These terms and their utilization are rooted in the image of migration as a permanent unidirectional movement between territorially bounded nation state societies. The transnational perspective points to a variety of migrants’ social worlds transcending the borders of nation states and plurality of migrants’ belongings and it challenges such a conceptualization of inclusion/exclusion of migrating individuals and groups. The paper discusses the re-conceptualization of the process of inclusion/ exclusion of migrants in transnational social fields. It brings attention to the ways of belonging and nonbelonging of the migrants to the multiple communities both “here“ and “there“ and the ways their belongings are contested and transformed. It argues that the frame of belonging is an important empirical question to avoid normative assumptions of migrants’ integration into the receiving nation state container society. Moreover, the transnational perspective raises the question of the link between behavioural participation of the migrants in various social systems both “here“ and “there“ and felt belonging to various civic
The Collation and Use of Data from Continuous Remote Monitoring Systems for the Control of Sound Emissions from a Large Industrial Noise Source

Using traditional closed-loop control theory, this paper shows how the analysis of the sound emissions from the constantly changing environs of a large open-cut mine identified the source of a time lag in the implementation of appropriate control strategies. As a result, a new control strategy based on SMART technology has been developed to reduce the error signal time lag and help improve the control of noise emanating from the mine. Key elements of the new control system discussed in this paper include: the collation, analysis and reporting of the continuous real-time noise and meteorological monitoring data; confirmation of the source’s contribution in a multi-source environment; and identification of high-risk operational activities associated with the noise source. The SMART technology presents this information in a format that: enhances the mining supervisor’s perception of the current environment; improves the comprehension of the data; reduces the uncertainty associated with identifying the mine’s contribution to the acoustic environment; and enables potential future actions and outcomes to be identified. This paper demonstrates that enhancing a user’s perception and awareness of the situation enables pre-emptive rather than reactive decision-making that results in reduced noise impacts and improved productivity.
Effect of low protein diet combined with drug therapy on renal function and oxidation-anti-oxidation balance in patients with diabetic nephropathy

Effect of low protein diet combined with drug therapy on renal function and oxidation anti-oxidation balance in patients with diabetic nephropathy Yan Li, Qin Zeng 1. Integrated Department of Endocrinology and Nephrology, the Second People’s Hospital of Deyang City Sichuan Province, Deyang, Sichuan Province, 618000 2. Department of Burn, People’s Hospital of Deyang City Sichuan Province, Deyang, Sichuan Province, 618000 Journal of Hainan Medical University
Adverse Childhood Experiences and Non-Suicidal Self-Injury as mediated by Pathological Personality Traits

Adverse childhood experiences (ACEs) frequently serve as antecedents to severe negative behaviors, particularly non-suicidal self-injury (NSSI) and the development of pathological personality traits (PPTs) during adolescence. We explored the impact of childhood adversity on non-suicidal self-harm as mediated by pathological personality traits among 782 Filipino adolescents from 18 to 24 years old studying in Metro Manila. Participants completed a battery of tests designed to measure ACEs, NSSI and PPTs. Findings showed that the association between ACEs and NSSI is partially mediated by PPTs. The correlation between ACEs and NSSI remained significant even after controlling for PPTs. This suggests that both ACEs and PPTs may be viewed as proximal causes of NSSI, and that clinical interventions for NSSIs should focus on both the continuing trauma of ACEs and the influence of PPTs.
Examination of the causal relationship between aircraft noise exposure, noise annoyance and diagnoses of depression using structural equation modelling

Environmental noise is ubiquitous in daily life and a major environmental burden, though the effects of transportation noise on mental health are sparsely investigated to date. The recently published WHO review on the impact of transportation noise on quality of life and mental health shows inconsistent ﬁ ndings. Noise annoyance, as an approved psychological stress response to noise, is identi ﬁ e d as one of the health impacts of environmental noise. There is some evidence that the impact of noise on health is at least partly mediated by noise annoyance. A re-analysis of data is conducted using data from the socio-acoustical longitudinal survey NORAH (Noise-Related Annoyance, Cognition, and Health), which has been performed mainly at Frankfurt Airport, Germany, from 2011 to 2013. Residents older than 18 and living in the 40 dB-noise contour around Frankfurt Airport were randomly selected to participate in the study. A telephone and online survey assessing, among others, diagnosed depressions and aircraft noise annoyance were conducted once a year/annually. Aircraft sound levels were calculated for the exact address of every participant. The present work is an approach to examine the causal relationship between noise exposure, noise annoyance and diagnoses of depression using structural equation modelling.
boron-isotope variations in tourmalines from an S-type granite and its source rocks: the Erongo granite and tourmalinites in the Damara Belt, Namibia. - Mineralogy and Petrology,

Tourmaline is widespread in metapelites and pegmatites from the Neoproterozoic Damara Belt, which form the basement and potential source rocks of the Cretaceous Erongo granite. This study traces the B-isotope variations in tourmalines from the basement, from the Erongo granite and from its hydrothermal stage. Tourmalines from the basement are alkali-deficient schorl-dravites, with Bisotope ratios typical for continental crust (δB average -8.4‰ ±1.4, n=11; one sample at -13‰, n=2). Virtually all tourmaline in the Erongo granite occurs in distinctive tourmaline-quartz orbicules. This “main-stage” tourmaline is alkali-deficient schorl (20-30% X-site vacancy, Fe/(Fe+Mg) 0.8 to 1), with uniform B-isotope compositions (δB -8.7‰ ±1.5, n=49) that are indistinguishable from the basement average, suggesting that boron was derived from anatexis of the local basement rocks with no significant shift in isotopic composition. Secondary, hydrothermal tourmaline in the granite has a bimodal B-isotope distribution with one peak at about -9‰, like the main-stage tourmaline and a second at -2‰. We propose that the tourmaline-rich orbicules formed late in the crystallization history from an immiscible Na-BFe-rich hydrous melt. The massive precipitation of orbicular tourmaline nearly exhausted the melt in boron and the shift of δB to -2‰ in secondary tourmaline can be explained by Rayleigh fractionation after about 90% B-depletion in the residual fluid.
Initial Solution for Scalable and Adaptive Coding 1 . 0

The aim of this document is to propose the initial solution to exploit scalable video coding and hierarchical modulation in the context of the MING-T project. In particular, beside an overview of the main features of the selected video coding standard (SVC – scalable implementation of H.264), the document contains some valuable features that represent an added value to the provisioning of video service, enhancing the efficiency and flexibility of the whole system.
Identification of dominant noise sources in a diesel power group

This paper aims to investigate and determine the primary causes of noise in a diesel engine group using airborne acoustic measurements. The presented work is useful in defining and enhancing the equivalent sound level and sound pressure level (SPL) at a specific octave band. The work first describes the theoretical origins of sound and the benefits of the time-frequency domain for the analysis of airborne acoustic signals. Then, an experimental approach was established to identify the primary sources and the contribution of dominant sources in the total radiated noise upon examination of the measured data. Results showed that engine exhaust noise is the main contributor of noise, especially in the low and mid frequency ranges due to different harmonic exciter orders.
Solving Biology Analogies with Deep Learning

For the purposes of automating the generation of textbook learning material, we formulate a prediction algorithm to automatically answer analogy tasks in the context of a biology textbook. Word embeddings have shown some success in solving analogical tasks by using cosine similarity metrics, but often times the analogies generated from word vectors, such as Glove vectors, face problems related to low dimensionality in the vector space or inadequate representation of the context the analogy was trying to show. In recent years, contextual word representations and deep learning architectures have shown greater success in caputring semantics of words given specific contexts. Hence, we present deep learning architectures including ones based on ELMO and BERT to generate analogy (e.g. animal:mitochondria :: plant:chloroplasts) in the context of the biology textbook. Since our analogies also have variable length components, utilizing deep seq2seq or seq2vec models are effective for predicting these analogies. Surprisingly ELMo models seemed to have outperformed BERT and even BioBERT, (a pretrained biology corpus BERT embedding) in this context, achieving 55% exact matches for unseen analogies.
Clinical and Radiographic Evaluation of 30 Dental Implants placed in a Postgraduate Dental Service

Introduction and objective: There are reports of complications that can cause implants to fail. This justifies long term evaluation of implants. The purpose of this study was to evaluate clinically and radiographically implants placed in a postgraduate dental service in order propose a protocol for evaluating and monitoring. Materials and methods: This descriptive study evaluated 30 implants on 16 patients. The surgical records were obtained from the patient's medical history. Primary criteria such as pain, exudate, suppuration, mobility and probing depth were assessed. Secondary criteria such as plaque and probing depth index were also assessed. Radiological analysis was performed to identify the presence of abnormalities and the average marginal bone loss. Results: 19 of the implants evaluated met the success criteria by Ahlqvist et al. Clinically, 22 implants showed some changes in the criteria of abnormality assessed in this study. Regarding the primary criteria, presence of inflammatory signs were found in 11 implants. Oral hygiene index showed a rate of 8% in 4 implants in the same patient, and 33% of plaque in 2 implants in the same patient. The bleeding index showed a value of 1 in 22 implants. Mobility was not observed in the sample and no radiolucent images around the implants. Forma de citar: Zuluaga-López OH, Muñoz-Alzate L. Evaluación clínica y radiográfica de 30 implantes dentales colocados en un servicio odontológico de posgrado. Rev CES Odont. 2014; 27(1) pág 18-29 Rev. CES Odont 2014; 27(1) 18-29 Artículos Investigación Científica y Tecnológica de 19 Revista CES Odontología ISSN 0120-971X Volumen 27 No. 1 Primer Semestre de 2014 Conclusion: Nineteen of the examined implants were considered clinically successful according to the criteria by Ahlqvist et al. Radiographically, 28 implants showed conditions within normal parameters. Protocols for evaluating dental implants should consider the medical and surgical history, primary and secondary criteria , marginal bone loss and bone quality around the implants.
Internationalization of SMES in Pakistan : A Brief Theoretical Overview of Controlling Factors

Internationalization has been a topic of common interest since the emergence of globalization. But not much research work has been done to comprehend the factors effecting the internationalization of Pakistani business. This study is aimed to unveil the most important factors, responsible for driving or restraining the internationalization of Pakistani firms. The authors have presented a theoretical analysis of six research papers that would help in the identification of key factors. The papers have been studied in respect of their importance and impact on internationalization process. Various dimensions indirectly influencing the aura of international business in Pakistan have also been discussed. Theoretical analysis suggested that, government support, research and innovation, development of export industry and entrepreneurial relationships are the key factors driving the internationalization process. Conversely, lack of infrastructure, insufficient finances, inadequate research facilities, lack of sound economic policies and international trade barriers are the factors
A Novel Method to Evaluate Students Sentiments from Twitter Messages

Classroom education is a dynamic environment, which brings students from different backgrounds with diverse abilities. By introducing machine-learning algorithms to learn the sentiments of the students in a classroom-based environment, can provide us a better research tool to understand the student psychology behind their attentiveness as well as the impact the instructor has on them while delivering lectures. Emotions can be analyzed mainly through many ways like facial features, audio signals and text messages. In this study, we have proposed a student emotion classifying mechanism that works after the lecture by analyzing the tweets posted by the students in the social media platform, Twitter to study their sentiments, or thoughts as expressed in the department twitter handle as a feedback to the classroom lecture. Students can post a tweet to their respective department’s twitter handle about their opinions, emotions, suggestion. Our application has been designed to monitor the department’s handle, a unique user-id via twitter API handler and when any posts appear, collects it and predicts the emotion. A hybrid-based approach which contains lexical and learning based approaches will be used to handle the twitter-based data and to predict the emotions of a student. A lexicon dictionary will be used in lexical based approach and for learning based approach, a manually customized dataset was used, and a support vector machine was designed to train the datasets and classify the emotions. The use-case of this application can be ideal for colleges, companies and wherever anyone wants to ease up the process of analyzing the feedback, suggestions or complaints from the students or employees, thereby saving considerable manpower and time. Our proposal is expected to garner good results and improved prediction time and accuracy.
Early surgical management of acute cholecystitis : A quality improvement initiative

Background: Significant research has shown convincingly that managing acute cholecystitis with early laparoscopic cholecystectomy rather than delayed cholecystectomy is safe and is associated with improved outcomes and lower costs. However, early laparoscopic surgery is not routine, suggesting barriers to uniform adoption of this practice. Methods: An online survey of practising general surgeons in the Fraser Health Authority was followed by a retrospective audit of all patients presenting to health authority sites with acute cholecystitis from April 2012 to June 2013. A modest educational intervention was then implemented at Langley Memorial Hospital to facilitate adoption of early laparoscopic cholecystectomy. Data were compared from before and after implementation of the educational intervention. Some outcomes considered were times from admission to surgery, duration of operations, rates for conversion to open surgery, and length of stay. Results: The retrospective audit found that more than half of health authority patients (54%) did not receive early access to surgery, despite this approach being preferred by most surgeons. The comparison of management approaches before and after the educational intervention at Langley Memorial Hospital showed an 85% increase in early laparoscopic cholecystectomy rates and a 47% reduction in time from admission to surgery. Conclusions: Improving access to timely surgery is possible and requires engagement of key stakeholders. Policies aimed at increasing rates of early laparoscopic cholecystectomy for treatment of acute cholecystitis must focus on improving surgeon access to surgical resources. Background Acute cholecystitis is seen commonly in the emergency room and is a leading cause of gastrointestinal-related hospital admissions. Cholecystectomy is the accepted standard of care to manage cholecystitis; however, the timing of surgery has been the subject of debate. In the past, conservative management with a course of antibiotics was thought to reduce inflammation and facilitate definitive Dr Pajak is a physician in the Division of General Surgery at the University of British Columbia. Ms Vigouret Lee is president and CEO of Strategyst Healthcare and dean of the School of Health Sciences at the British Columbia Institute of Technology. Dr Konkin is a general surgeon at Royal Columbian Hospital and a clinical assistant professor in the Department of Surgery at the University of British Columbia. Dr Sidhu is a general surgeon at Royal Columbian Hospital and a clinical instructor in the Department of Surgery at the University of British Columbia. Dr Cowie is head of the Division of General Surgery at Langley Memorial Hospital and a clinical instructor in the Department of Surgery at the University of British Columbia. This article has been peer reviewed.
EVALUATION OF A GONADOTROPIN RELEASING HORMONE

of Thesis Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Master of Science EVALUATION OF A GONADOTROPIN RELEASING HORMONE VACCINE FOR THE HUMANE CONTROL OF FEMALE FERAL CATS By John Friary August 2006 Chair: Julie Levy Major Department: Veterinary Medicine The unwanted cat population in the United States numbers in the tens of millions and current control measures have only had limited success in reducing it. Immunocontraception has the potential to humanely reduce this population. The purpose of this study was to investigate the effectiveness of a GnRH-based vaccine for immunocontraception of female cats. It was expected that the treated cats would produce antibodies against GnRH and there would be a positive correlation between high titer and contraception. Adult female cats were divided into a sham group (n = 5) and a treatment group (n = 15) that was immunized once with 200 μg of synthetic GnRH coupled to keyhole limpet hemocyanin and combined with a mycobacterial adjuvant. GnRH antibody titer and serum concentrations of progesterone and estradiol-17β were determined monthly. For the duration of the study the daily photoperiod was manipulated in an attempt to induce estrus. A male breeding cat was housed with the females during the long-day periods, and continuous videography was used to monitor
1 The Amyloid Phenomenon and Its Significance

Interest in the topic of ‘‘amyloid’’ formation by peptides and proteins has increased dramatically in recent years, transforming it from a puzzling phenomenon associated with a small number of diseases into a major subject of study in disciplines ranging from chemistry and materials science to biology and medicine. The major reason for this explosion of activity is undoubtedly that many of the disorders associated with amyloid formation (see Table 1.1) [1] are no longer rare and somewhat esoteric, as they were even a generation or two ago, but are rapidly becoming the most costly, in terms of health care and social disruption, in the modern world [2]. This change is a consequence of many of these disorders being strongly associated with aging – such as Alzheimer’s disease – and with lifestyle and dietary changes – such as type 2 diabetes. These two diseases alone are having a remarkable effect on our societies, particularly in those countries where life expectancy is now 75 years or more. Thus, for example, the financial burden of Alzheimer’s disease in the world each year is already estimated to be approaching $400 billion [2], and the annual cost to the US economy alone is predicted to exceed $1 trillion in 2050 (Figure 1.1) [3]. In addition, type II diabetes is predicted to bring to an end the steadily rising life expectancy in the most highly developed countries [4] and is now becoming widespread amongst the populations of the developing world. And in a quite different context, the recognition of the ability to convert a wide variety of peptides and proteins into filamentous polymers of extraordinary regularity and remarkable properties has opened up opportunities to develop novel self-assembling materials with a range of different characters and potential functions [5] (Chapters 20 and 21).
LEXICON GENERATION WITH CONTINUOUS POLARITIES FOR PORTUGUESE USING LOGISTIC REGRESSIONS AND SEMANTIC MODIFIERS

Research in sentiment analysis has hugely increased due to the advent of social medias and businesses interest on public opinion. Extracting opinion from text without the need of labeled data makes unsupervised approaches more appealing. However, many require a sentiment lexicon, a dictionary associating words to sentiments with a costly built process. This project proposes an automated approach to build a sentiment lexicon for the Portuguese language. The method is based on a supervised learning task that trains a logistic regression model on top of textual data classified as positive or negative and then extract terms that contribute the most to the model’s sentiment attribution. These terms are used to build the sentiment lexicon with polarities in a continuous range. The use of semantic rules as a preprocessing step is used to improve the model and subsequent lexicon generation. Key-words: sentiment analysis, opinion mining, lexicon, logistic regression.
THE ARTHUS PHENOMENON: REPORT OF A CASE

A local necrosis following infrequently repeated subcutaneous injections of horse serum was first noted by Arthus, experimenting with rabbits, in 1903. He described the occurrence of a characteristic set of symptoms which has since been known as the Arthus phenomenon. The symptoms seem to be due to an anaphylactic reaction of antibodies with a specific antigen, which results in the formation of a toxic substance causing local necrosis in the tissues. The reaction is specific for the antigen used. Since the publication of these and other studies, clinical instances of the Arthus phenomenon have been recorded in the literature with increasing frequency. The results of an exhaustive study of the clinical and serologic aspects of the condition have been reported by Tumpeer and Cope. 1 A case exhibiting this phenomenon is here reported. A boy, aged 4½ years, had been given toxin-antitoxin for diphtheria immunization a year previously. November 22,
5.5: Fluorescence on Membranes

The study of membranes poses a unique challenge in science due to their complex and fluid nature. Until recently, the majority of experiments was conducted in either fixed samples or on population levels that did not give insight into individual events. However, recent advances in fluorescence microscopy techniques have allowed scientists to visualize microscopic perturbations of individual vesicles and have allowed the study of membrane dynamics at higher spatiotemporal resolution than before.