Miracle-dz/UniFAR-FTUs huggingface dataset:
Perfectionism and Intolerance of Uncertainty are Predictors of OCD Symptoms in Children and Early Adolescents: A Prospective, Cohort, One-Year, Follow-Up Study.

Objective Cognitive models of Obsessive-Compulsive Disorder (OCD) identified four types of beliefs, which would develop during childhood and play a role in the aetiology and maintenance of OCD: Inflated Responsibility, Threat Overestimation, Importance/Control of Thoughts, Perfectionism/Intolerance of Uncertainty. Whereas research produced consistent evidence in adults that these beliefs constitute vulnerability factors for OCD, no study examined whether the obsessive beliefs prospectively predict OCD symptoms over time in youth. The current study investigated the role of the obsessive beliefs as predictors of OCD symptoms after one year in a large cohort sample of community children and early adolescents prospectively followed-up. Method Seven hundred and fifty-four children and early adolescents recruited from the community (mean age= 10.87 years, 51.46% females) completed the Obsessive Belief Questionnaire-Child Version (OBQ-CV) as a measure of obsessive beliefs, the Obsessive-Compulsive Inventory-Child Version (OCI-CV) as a measure of OCD symptoms, the Children's Depression Inventory for depression (CDI) at baseline (t0) and at one-year follow-up (t1). A multiple linear regression analysis was run entering the scores on the OBQ-CV and the CDI as predictors and the scores on the OCI-CV at t1 as dimensional outcome. Results More intense Perfectionism/Intolerance of Uncertainty at t0 (β= 0.17, t= 4.33, p<0.001) and to a lesser extent more intense Threat Overestimation at t0 (β= 0.08, t= 1.97, p<0.05) predicted more severe OCD symptoms at t1 controlling for the effects of depression at t0 (β= 0.19, t= 5.53, p<0.001). Evidence of the predictive effects of the other cognitions at t0 on OCD symptoms at t1 was not found. Conclusions Perfectionism/Intolerance for Uncertainty and to a lesser Threat Overestimation may be early predictors of OCD symptoms in youth. Early detection and prevention of OCD in children and adolescents could focus on these cognitive vulnerability factors. The current findings appear to raise some doubts about the role of Inflated Responsibility and Importance/Control of Thoughts as cognitive vulnerability factors specific to OCD among youth. Future studies should use clinical interviews to assess the presence of an OCD diagnosis.
An Investigation and Structure Model Study on College Students'Studying-interest

Nowadays college students’ studying-weariness is a common problem needs to be solved in China. Also, college students' studying-interest, studying-weariness psychology and misbehaviors have been the subject of considerable research in the last few years to educators and researchers all over the world. However, most of the existing studies in this field are qualitative theory analysis and short of actual investigation, survey and even less mathematical quantificational study. The investigation and study on studying-interest of college students from four universities in Wuhan demonstrates that college students show generally studying-weary mentality and correlative misbehaviors. With the designed college students' learning-interest questionnaire, college students in four universities of Wuhan were surveyed. And based on this survey, Structural Equation Model (SEM) was used to analyze the date of our investigation of the factors affecting college students’ studying-interest and studying-weariness. Results of our quantitative statistical analysis with mathematical model show the degree of each factor influencing studying-interest and studying-weariness. School-related factor and societyrelated factor are the main influences on college students’ studying-interest and studying-weariness. The major objective of this paper is to provide an integrative review of the college students’ studying-interest and studyingweariness, in order to contribute to the development of high education. Countermeasures and Suggestions are also put forward to rectify the college students’ studying-weariness. This work will play an important role for education departments and educators to take corresponding measures to provide scientific guidance of high education.
Huffman Encoding using Artificial Neural Network

This paper presents a model of artificial neural network (ANN) for a famous source coding algorithm in the field of Information Theory- the Huffman scheme. This model helps to easily realize the algorithm without going into a cumbersome and prone to error theoretical procedure of encoding the symbols. Neural network architecture used in the work is multilayer perceptron which is trained using backpropagation algorithm. ANN results have been compared with theoretical results. Matching of ANN results with theoretical results verifies the accuracy of model.
Pathophysiologie des kardiorenalen Syndroms

ZUSAMMENFASSUNG Das kardiorenale Syndrom beschreibt die bidirektionale Interaktion zwischen Herz- und Nierenerkrankungen. Eine akute oder chronische Dysfunktion sowohl des Herzens als auch der Nieren kann eine Dysfunktion des jeweils anderen Organs verursachen. Pathophysiologisch spielen bei der akuten Schädigung v. a. hämodynamische Veränderungen und insbesondere die Rechtsherzinsuffizienz (Rückwärtsversagen) mit renal- venöser Stauung und Abnahme des transglomerulären Gradienten eine Rolle. In der Chronifizierung gewinnen v. a. die Hypervolämie und, vermittelt über die neurohormonelle Aktivierung der Renin-Angiotensin-Aldosteron-Achse, die glomeruläre und myokardiale Sklerosierung an Bedeutung.
The Relationship between Depressive Symptoms and Demographic-Medical Characteristics among Elder People with Cancer

Objective: Cancer is one of the most common life-threatening diseases and a great source of stress in patients. The risk factors of depression differ in elder people compared to other age groups. The present study was designed to determine the relationship between depressive symptoms and demographic-medical characteristics among elder people with cancer. Methods: This cross-sectional correlational study recruited 200 elder people with cancer. The eligible patients completed the demographic-medical characteristics questionnaire, the Geriatric Depression Scale, the Abbreviated Mental Test, the Activities of Daily Living Scale, and the Multidimensional Perceived Social Support Scale. The findings were analyzed in SPSS software version 21.0 using the Kruskal–Wallis and Mann–Whitney tests. Results: A total of 50% of the elder people in this study had mild depression, 18.5% had moderate depression, and 2.5% had severe depression. A significant relationship was observed between depression in the elder people and their marital status (P = 0.025), living arrangement (P = 0.013), and income (P = 0.021). Depression also had a significant relationship with diabetes (P = 0.044) and respiratory diseases (P = 0.040). A significant relationship was also observed between depression and colon cancer (P = 0.007), and the mean depression was lower in the patients with colon cancer compared to those with other cancers. Depression had a significant relationship with complications, including pain (P = 0.001), nausea (P < 0.001), vomiting (P = 0.001), hair loss (P < 0.001), and shortness of breath (P = 0.028). Conclusions: Given the high prevalence of depression in this age group, screening and counseling-supportive interventions are recommended for helping prevent depression and come to terms with cancer.
Implicit phasing for library dependencies

The main objective of this thesis is a system that integrates a powerful library system and a powerful syntactic abstraction facility without compromising the essential properties of these systems. In this system, a library serves as a building block for language extensions, and its exported definitions can be used anywhere in the importing library without restrictions. The run-time variable definitions and the compile-time syntax definitions provided by a library are unified and can be used in the importing library’s run-time and compile-time code alike. As a unified and integrated framework, all run-time facilities are extended to compile time, and all compile-time facilities are similarly available at run time. The dependencies between libraries is specified in two parts. For each library, the user specifies only the import dependencies. The compile-time, expand-time, and run-time dependencies between libraries are derived automatically by the system based on the program source code, which is used as an implicit specification for phase dependencies. Compared to traditional systems that require that the user explicitly specify phasing dependencies, the implicit phasing system (1) is easier to use, (2) derives more precise dependency information, (3) is efficient, and (4) is straightforward to add on top of existing hygienic syntactic abstraction systems.
Effect of transportation stress on the thermoregulatory response of young and adult rabbits

The aim of this experiment was to investigate the effect of stress due to road transportation on rabbits of different age groups. A total of 30 local mixed breed rabbits of different age groups were used. They were ten (10) rabbits per group and were grouped as follows; age 4-6 weeks (T 1 ), age 8-12 weeks (T 2 ), age 7-12 months (convert to weeks for uniformity) (T 3 ) and the animals were considered to be young, growers and adult respectively. The weight of the animals was 400g, 1070g and 1600g respectively. All the rabbits were transported by road for 3 h and their rectal temperature (RT), ear temperature, (ET), respiratory rate (RR), and heart rate (HR) values were recorded before, during and after the transportation. The results showed that road transportation was stressful to all the rabbits, as evidenced by increase in RT, ET, RR and HR values of all the animals. The values were significantly (P<0.05) higher in adult rabbits compared to the young and growers. On arrival, HR and RT values were higher in adult and grower animals than in the young. This study revealed that adult and growing rabbits are more stressed during transportation than the young rabbits. Key Words : Age Group, Transportation Stress, Thermoregulatory Response
Cardiovascular magnetic resonance feature tracking for assessing myocardial mechanics: from experimental studies to clinical research

s related to the results of dissertation 1. Lapinskas T, Schnackenburg B, Gebker R, Žaliūnas R, Pieske B, Kelle S. “Myocardial fat deposition in patients with chronic myocardial infarction: detection by using magnetic resonance fat-water separation and feature tracking imaging”. 83. Jahrestagung der Deutsche Gesellschaft für KardiologieHerzund Kreislaufforschung, 19-22 April 2017, Mannheim, Germany. 2. Lapinskas T, Schnackenburg B, Gebker R, Žaliūnas R, Pieske B, Kelle S. “Intramyocardial fat deposition in patients with previous myocardial infarction assessed using advanced CMR imaging – feature tracking, fatwater separation and parametric mapping”. 20th Annual SCMR Scientific sessions, 1-4 February 2017, Washington DC, USA. 3. Lapinskas T, Zamani SM, Jeuthe S, Messroghli D, Gebker R, Meyborg H, Kintscher U, Žaliūnas R, Pieske B, Stawowy P, Kelle S. “Interand intra-observer reproducibility of cardiac magnetic resonance feature tracking and sample size calculation in small animals”. 20th Annual SCMR Scientific sessions, 1-4 February 2017, Washington DC, USA. 4. Lapinskas T, Urbonaitė L, Bučius P, Fedaravičius A, Stabinskaitė A, Ejsmont M, Jankauskas A, Žaliūnas R. “Evaluation of left atrial myocar-
General practitioners' ‘lived experience’ of assessing psychological distress in cancer patients: an exploratory qualitative study

While psychological distress in cancer patients is common, little is known about how general practitioners (GPs) assess distress. Using semi-structured interviews, a phenomenological study of seven GPs was conducted to explore GPs' experiences of assessing distress. Findings revealed five themes: (1) Being in the Relay Team – receiving and passing the baton: where the assessment of distress was conceptualised as a relay baton passed between a team of health care professionals, with GPs most involved at diagnosis and in the palliative phase. (2) Being in a Relationship: where the doctor–patient relationship was described as a powerful facilitator to assessment. (3) Being Skilled: where GPs perceive they are skilled at assessment adopting a patient-centred approach. (4) Being Challenged – encountering barriers: challenges with assessment were identified regarding the GPs' own emotions, patient related factors and time; the duality of family as both barrier and facilitator was voiced. (5) The Intruder in the Room: where GPs did not use validated screening tools which were viewed as an intruder in the doctor–patient relationship. Further research to objectively assess GPs' skills in distress assessment and attitudes towards the use of screening tools within the cancer care context are merited.
Incomplete gene structure prediction with almost 100% specificity

Incomplete Gene Structure Prediction with Almost 100% Specificity. (December 2003) See Loong Chin, B.S., Purdue University Chair of Advisory Committee: Dr. Sing-Hoi Sze The goals of gene prediction using computational approaches are to determine gene location and the corresponding functionality of the coding region. A subset of gene prediction is the gene structure prediction problem, which is to define the exonintron boundaries of a gene. Gene prediction follows two general approaches: statistical patterns identification and sequence similarity comparison. Similarity based approaches have gained increasing popularity with the recent vast increase in genomic data in GenBank. The proposed gene prediction algorithm is a similarity based algorithm which capitalizes on the fact that similar sequences bear similar functions. The proposed algorithm, like most other similarity based algorithms, is based on dynamic programming. Given a genomic DNA,X = x1 · · · xn and a closely related cDNA, Y = y1 · · · yn, these sequences are aligned with matching pairs stored in a data set. These indexes of matching sets contain a large jumble of all matching pairs, with a lot of cross over indexes. Dynamic programming alignment is again used to retrieve the longest common non-crossing subsequence from the collection of matching fragments in the data set. This algorithm was implemented in Java on the Unix platform. Statistical comparisons were made against other software programs in the field. Statistical evaluation at both the DNA and exonic level were made against Est2genome, Sim4, Spidey, and
An Informal Introduction to Computational Semantics

There are several NLP domains, such as automated question answering and automated knowledge base construction, where we need to deal with the meanings of sentences in a reasonably robust way. Now what the meaning of a sentence is is a debatable issue, but the only thing implementation-ready seems to be the tradition of logical semantics, appropriately extended to natural language (Montague, 1973). Happily, this approach capitalizes on the aboutness of language: that we can use natural language to describe the world in arbitrary ways–and this is crucial in some (but certainly not all) meaning-related NLP tasks. The sentence meaning we will derive from the semantics discussed here has several distinguishing properties: it is truth-conditional, compositional, and model-theoretic. By truth-conditional, we mean that a sentence’s meaning is what the world would have to be like in order for it to be true. By compositional, we mean that the meanings of phrases (including sentences) are generally built up from the meanings of the phrases they contain. And by model-theoretic, we mean that the logical language we use to build up meanings is distinguished from its interpretation in the domain of “real-world” objects and substantive relations.
User Behaviour Prediction Based Adaptive Mobile Video Streaming and Efficient Social Video Sharing in the Clouds

The mobile phones become an essential piece of our daily life, with smart phone sales at the present increased very much and also end-user demands to run many applications have improved. The success of next generation mobile communication depends on the ability of service providers to engineer new added value to video services. The Streams are encoded by the Scalable Video Coding extension of the H.264/AVC standard. Adding or removing the layer is decided based on the user behaviour conditions of the mobile network. The recent advances in the mobile video streams over mobile networks have been souring over these new trends, the wireless link facility not practically support with the growing traffic demand. The gap among the traffic load and the wireless link capacity, along with time-changeable link situations, results reduced quality of mobile video streams over mobile networks, such as extended buffering delays and intermittent disruptions. The new cloud computing technology, we suggest a new framework to get improved quality of video services for the mobile users, which contains of two different parts: A newly distributed web User Behaviour Prediction model is introduce to cognize and predict user behaviour and further Adaptive Policy Pre-fetching and Caching method is addressed for an efficient cloud management. We can apply a new framework model to shows significant improvements in terms of lower loss rate, reduce delay and buffering time. For each mobile user, construct a private agent in the cloud data centre to adjust the mobile video streams flow by the scalable video coding technique based on the response from the mobile user and perform the video prefetching based on the social network analysis. Additionally, the basic tools for providing temporal, spatial, and quality are described in detail and experimentally analyze their complexity and efficiency. KEYWORDS—Cloud Computing, Adaptive mobile video streaming, Scalable video coding, H.264/AVC
Dengue, Vaccination and Vector Control

Dengue is a vector borne disease transmitted by the Aedes Aegpti mosquito. The dengue virus is capable of causing dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS) potentially fatal forms of the disease with worldwide morbidity and mortality that has been increasing annually. Many strategies have been proposed to reduce the burden of this disease. Treatment for the various forms of the disease is supportive. Much research has been devoted to developing a vaccine to prevent this disease, but a safe and effective vaccine is not currently available. The research and difficulties surrounding the search for a vaccine will be discussed in this paper. Various forms of vector control have also been attempted over the past century with varying degrees of success. The history of the disease and vector control will be explored. This disease has been especially harmful to areas like Puerto Rico where the cost of dengue over the past ten years has been $250 million. This paper will include a systematic review of the literature to determine a feasible, cost effective and sustainable policy for long-term reduction of dengue-related morbidity and mortality in Puerto Rico. Focus of Paper/Question L In 1991 Gubler et al published a paper recommending a new policy to reduce morbidity and mortality caused by Dengue Hemorrhagic Fever (DHF) and Dengue Shock Syndrome (DSS) in Puerto Rico. The author outlines the available options at the time the article was published. The options were as follows: "Aedes aegypti eradication, ultra-low-volume (UL V) insecticide application, regulation of air travel, development and use of dengue vaccines, preventive measures keyed to improved surveillance, and routine mosquito control efforts". 1 Gubler et al explains how the only viable options in 1991 are the last two: improved surveillance and routine mosquito control efforts and a five-component program is proposed that elaborates on these two options. The program includes 1. proactive surveillance; 2. rapid-response emergency vector control; 3. longterm, integrated community-based mosquito control; 4. education of the medical community; 5. an emergency hospitalization plan. This paper will review the literature from the time of the publishing of this article (1991) to the present to determine what policy has the best potential for limiting or decreasing morbidity and mortality from Dengue virus infection in Puerto Rico today. BACKGROUND Epidemiology of the Disease Many aspects of Dengue virus infection have led to its emergence in recent years as a threat to human health that is increasingly difficult to control in areas like Puerto Rico where epidemics occur. Throughout the world's tropical regions the epidemics of Dengue are becoming larger and more frequent. There is an estimated worldwide prevalence of 50-100 million cases of Dengue fever, 250-500 thousand cases of Dengue hemorrhagic fever, and 24,000 deaths caused by Dengue per year. "Overall, it is estimated that in 2001 dengue was responsible for . 653,000 Disability-Adjusted Life Years (DAL Ys)". The
SISTEMA COMPUTACIONAL PARA LA DETECCIÓN DE GLÓbULOS ROjOS EN IMÁGENES MICROSCÓPICAS DE CÉLULAS SANGUÍNEAS SOFTWARE TOOL FOR RED bLOOD CELLS DETECTION IN MICROSCOPIC bLOOD CELLS IMAGES

RESUMEN ANALITICO El analisis de los globulos rojos es utilizado para la identificacion y seguimiento de algunas enfermedades en el area de hematologia e involucra dos procesos: el conteo y la inspeccion visual de las celulas. Con el animo de dar soporte al proceso de lectura visual que realiza el especialista, se propone un sistema computacional que permita realizar la deteccion de los globulos rojos, haciendo uso de la conceptualizacion matematica del Procesamiento Digital de Imagenes, a traves del diseno e implementacion de operadores bajo el paradigma de la Programacion Orientada a Objetos. Este sistema cuenta con una interfaz grafica agradable al usuario, con la cual se realizo un conjuntode pruebas de sensibilidad y especificidad del metodo de deteccion implementado. Se adquirieron 50 imagenes microscopicas a un aumento de 100x. Se obtuvo una sensibilidad de 84.78% y una especificidad de 92.89%. PALABRAS CLAVES: Globulos Rojos, Hematologia, Procesamiento Digital de Imagenes, Sistema Computacional, Operadores SOFTWARE TOOL FOR RED BLOOD CELLS DETECTION IN MICROSCOPIC BLOOD CELLS IMAGES ANALYTICAL SUMMARY Red Blood Cells are analyzed for detection and monitoring of RBC related diseases, it involves two procedures: RBC counting and visual inspection of cells. Looking forward to support the process of visual analysis done by the specialist, it is proposed a computational system able to detect the red blood cells. It uses mathematical basis from Digital Signal Processing, through the design and implementation of operators under the Object Oriented Programming paradigm. The system has a friendly graphical user interface, with which were done a set of tests to measure sensibility and specificity of the implemented detection method. There were acquired 50 microscopic images at a zoom of 100x. Sensibility was 84.78% and specificity was 92.89%. KEYWORDS: Red Blood Cells, Hematology, Digital Image Processing, Computational System, Operators