Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence of Generalized Anxiety Disorder and its effect on Daily Living in the Rural Community of Rajshahi

This cross-sectional type of descriptive study was conducted in three villages of Puthia Upazila under Rajshahi district to find out the prevalence of Generalized Anxiety Disorder (GAD) and its effect on their daily living. A total of 876 adult people of aged 18 years and above, were selected purposively. Data were collected by face to face interview with the help of a semi-structured questionnaire which contained Hamilton’s 7-point anxiety scale. Out of 876 respondents, 80% had GAD, where mild, moderate and severe GAD being 42.5%, 31.8% and 5.7% respectively. GAD was found to be more frequently associated in the 3rd and 5th decades of life, which constituted 27% and 12.9% respectively (p < 0.001). Having GAD, females have more ability to cope with daily living than males, though GAD was not found to be associated with sex (p >0.05). Illiterate and primary level educated respondents were more often associated with GAD (40.4 and 25% respectively) than the SSC and higher level educated people (p < 0.001). Businessmen were found to be significantly associated with GAD (29.7%) than the other occupations (p < 0.001). Poor people tend to be associated with GAD significantly more than the middle class and the rich (p < 0.01). Widow(er) and married and living together were likely to have GAD than the single or divorced or separated (p < 0.001). Activities of daily living gradually becoming more difficult when intensity of anxiety status increased which is statistically significant (p<0.001). The association between sex and problem facing in everyday life shows that over 40% of the females did not have any difficulty in dealing with problem situation as compared to only 25.8% of the males, while nearly half (48.6%) of males had quite difficulty in dealing with a problem as compared to 37.3% in females (p < 0.001). The present study concluded that majority rural adult people (4 in every five) suffer from generalized anxiety disorder (GAD). The ability of coping with a problem is higher in females than the males. This study might be the basis for further in depth study in this regard.TAJ 2014; 27(1): 14-23
WEAKID - Clinical validation of miniature wearable dialysis machine - H2020

The project aims to validate a miniature wearable dialysis machine in a clinical setting and to prepare the system for CE-marking. Wearable dialysis allows renal patients to dialyze conveniently and continuously at home or at work, independently from a fixed water supply, up to 24 hrs/day. Such a continuous treatment mimics healthy kidneys and is twice as effective as current dialysis techniques, hereby offering health benefits, quality of life (fitness, mobility) while reducing medical costs (less medication, dialysis at home lowers costs). The miniature wearable dialysis system is based on continuous flow peritoneal dialysis with a fluidic access to the abdomen. The peritoneal dialysate is continuously circulated and refreshed by means of a small and wearable sorption unit that removes toxins from the dialysate. The technology has been demonstrated in preclinial research. In order to demonstrate the clinical efficacy and safety of the system an early feasibility first-in-human trial (phase 0) and a pilot crossover trial (phase 1) will be performed in peritoneal dialysis (PD) patients. The phase 0 study will involve a selected group of 12 stable PD patients in a clinical setting for 5 consecutive days. Upon successful functionality and safety analysis of the phase 0 trial, the clinical validation is continued in a crossover study to test the hypotheses that the system (1) improves blood purification, (2) results in adequate ultrafiltration and (3) does not show important safety/biocompatibility problems. Hereto 30 stable PD patients will be randomised to receive either with the wearable system in the first month and conventional PD in the second month or vice versa. The clinical trials will be performed by three European medical centres specialised in dialysis treatment.
Regulation of the ubiquitin RING E3 ligase Parkin

Post-translational modification of proteins by ubiquitin is a central regulatory process in all eukaryotic cells. Substrate selection and type of modification are events catalyzed by the E3 ligase, a component of the ubiquitin pathway. Several ubiquitin E3 ligases are implicated in cancer and other disease states, underlying the need for mechanistic insight of these enzymes. Parkinson’s disease is a neurodegenerative disorder characterised by the loss of dopaminergic neurons from the substantia nigra, the presence of Lewy Bodies, and pathogenic aggregates rich in ubiquitin. Autosomal Recessive Juvenile Parkinsonism (AR-JP), which is one of the most common familial forms of the disease, is directly linked to mutations in the Parkin gene (PARK2). Parkin is a RING E3 and catalyses a range of ubiquitination events (mono, multi mono, K48- and K63- linked poly) in concert with several E2s on a variety of substrates, including itself. Furthermore, Parkin is capable of binding the 26S proteasome and mediates selective degradation of target substrates. The data presented will demonstrate that the Ubiquitin-like domain (UblD) of Parkin functions to inhibit its auto-ubiquitination via a novel mechanism. Pathogenic Parkin mutations disrupt this inhibition and result in a constitutively active molecule. The inhibition is mediated by an intra-molecular interaction between UblD and the C-terminus of Parkin, and Lysine 48 on UblD participates in this interaction. The study also uncovered unique UblD/Ubiquitin Binding Regions (UBRs) on the C-terminus of Parkin that play a novel role in its RING E3 ligase activity. The observations provide critical mechanistic insights into the myriad functions of Parkin and the underlying basis of Parkinson’s disease.
SecPump: A Connected Open-Source Infusion Pump for Security Research Purposes

This letter presents SecPump, a new open-source wireless infusion pump platform dedicated to security researchers. The novelty of the platform is that it is “plug and play. ” Indeed, SecPump simulates a functional infusion pump system on a single board without requiring additional hardware or mechanical components. The presented cyber-physical platform intends to provide a framework for security evaluation, tailored for countermeasure development against security flaws related to medical devices. This letter presents the functionality of the cyber-physical device, its wireless features, and its portability across several hardware architectures. Finally, both hardware and software attacks are showcased on the platform.
Design of a fuzzy traffic controller for ATM networks

This paper presents the design of a fuzzy traffic controller that simultaneously manages congestion control and call admission control for asynchronous transfer mode (ATM) networks. The fuzzy traffic controller is a fuzzy implementation of the two-threshold congestion control method and the equivalent capacity admission control method extensively studied in the literature. It is an improved, intelligent implementation that not only utilizes the mathematical formulation of classical control but also mimics the expert knowledge of traffic control. We appropriately choose input linguistic variables of the fuzzy traffic controller so that the controller is a closed-loop system with stable and robust operation. We extract knowledge of conventional control methods from numerous analytical data using a clustering technique and then use this knowledge to set parameters of the membership functions and fuzzy control rules via fuzzy set manipulation (linguistically stated but mathematically treated) with the aid of an optimization technique named genetic algorithm (GA). Simulation results show that the proposed fuzzy admission control improves system utilization by a significant 11%, while maintaining the quality of service (QoS) contract comparable with that of the conventional equivalent capacity method. The performance of the proposed fuzzy congestion control method is also 4% better than that of the conventional two-threshold congestion control method.
Advances in Rule-based Modeling: Compartments, Energy, and Hybrid Simulation, with Application to Sepsis and Cell Signaling

Biological systems are commonly modeled as reaction networks, which describe the system at the resolution of biochemical species. Cellular systems, however, are governed by events at a finer scale: local interactions among macromolecular domains. The multi-domain structure of macromolecules, combined with the local nature of interactions, can lead to a combinatorial explosion that pushes reaction network methods to their limits. As an alternative, rule-based models (RBMs) describe the domain-based structure and local interactions found in biological systems. Molecular complexes are represented by graphs: functional domains as vertices, macromolecules as groupings of vertices, and molecular bonding as edges. Reaction rules, which describe classes of reactions, govern local modifications to molecular graphs, such as binding, post-translational modification, and degradation. RBMs can be transformed to equivalent reaction networks and simulated by differential or stochastic methods, or simulated directly with a network-free approach that avoids the problem of combinatorial complexity. Although RBMs and network-free methods resolve many problems in systems modeling, challenges remain. I address three challenges here: (i) managing model complexity due to cooperative interactions, (ii) representing biochemical systems in the compartmental setting of cells and organisms, and (iii) reducing the memory burden of large-scale network-free simulations. First, I present a general theory of energy-based modeling within the BioNetGen framework. Free energy is computed under a pattern-based formalism, and contextual variations within reaction classes are enumerated automatically. Next, I extend the BioNetGen language to permit description of compartmentalized biochemical systems, with treatment of volumes, surfaces and transport. Finally, a hybrid particle/population method is developed to reduce memory requirements of network-free simulations. All methods are implemented and available as part of BioNetGen. The remainder of this work presents an application to sepsis and inflammation. A multi-organ model of peritoneal infection and systemic inflammation is constructed and calibrated to experiment. Extra-corporeal blood purification, a potential treatment for sepsis, is explored in silico. Model simulations demonstrate that removal of blood cytokines and chemokines is a sufficient mechanism for improved survival in sepsis. However, differences between model predictions and the latest experimental data suggest directions for further exploration.
Tuberculosis: A Risk Factor Approach

One in three people in the world is infected with Mycobacterium tuberculosis , and 10% of infected individuals will develop the disease at any time in their lifetime. Today, despite the advances in diagnosis and treatment, tuberculosis (TB) remains as one of the biggest challenges in global public health, and low and middle-income countries are the most affected. The risk for developing the disease depends on endogenous, exogenous, and environmental factors. Among the most relevant conditions that could precipitate TB development are those that affect the host-immune response. HIV infection increase about 20 times the risk of TB, and other more common conditions, such as diabetes mel - litus, malnutrition, and smoking, also contribute in a big way to the TB pandemic. Global TB control programs in order to achieve the disease control objectives must integrate strategies that have a direct impact on risk factors, not only at an individual level but also on a public health policy level. Here, we review some of the most important risk factors for the development of TB, as one of the most relevant ways for TB control.
A Clinicopathological Review of Colonic Polyps in a Tertiary Hospital in North Central Nigeria

Background: Colorectal polyps, especially adenomas, are known as precursors of colorectal carcinomas. This study was aimed at determining the prevalence and histopathologic characteristics of colonic polyps among Nigerians that underwent colonoscopy at the University of Ilorin Teaching Hospital, Ilorin, Nigeria. The authors also determined the polyp detection rate and adenoma detection rate.
The characteristics and application of reading dynamic horizontally scrolling text

3 Figures . 8 Tables. 12 Chapter 1: Background And Overview . 13 Normal Reading . 13 Horizontally Scrolling Text . 17 Scrolling Text And Central Vision Loss. 25 Thesis Plan . 32 Aims . 33 Hypotheses . 33 Chapter 2: Characterisation Of Changes To The Global Oculomotor Pattern When Reading Scrolling Text . 35 Introduction . 35 Experiments . 39 Methods . 41 Results . 47 Changes To The Global Oculomotor Pattern For Reading Scrolling Text At A Slower Rate . 61 Experiment 3: Methods . 62 Results . 63 Discussion . 69 Chapter Conclusion . 70 Chapter 3: Linguistic Processing With Scrolling And Static Text . 71 Word Length And Word Frequency Effects . 71 Predictability Effect . 72 Experiment 1: Word-Level Processing When Reading Scrolling And Static Text (Word Length And Word Frequency Effects) . 73 Introduction . 73 Methods . 74 Results: Local Analyses Of Word Length And Frequency Effects . 74 Discussion . 79 Experiment 2: Sentence-Level Processing When Reading Scrolling And Static Text (Predictability Effect) . 80 Introduction . 80 Method . 82
IDENTIFYING SUSPICIOUS MONEY LAUNDERING TRANSACTION BASED ON COLLABORATIVE RELATIONAL DATA SCREENING MODEL USING DECISION CLASSIFIER IN TRANSACTIONAL DATABASE

Transactional data be most economical concern in banking sectors for financial prospects. Due to criminal activities and tolerant they had many issues specifically in money laundering. The illegal transaction, robbery, malpractice non related source of access, are tedious to identifying legal transactions. By the higher transactions using the big data analysis to identify possible money laundering activities. To resolve the issue to make effective future selection approach in transactions and classify the resultant under data cleaning, partial information from traditional statistical analysis, and data mining process. To propose an collaborative relational data screening model (CRDSCM) using decision classifier in transactional database. Autocorrelation function with screening cluster approach were conducted to examine the relationship between the attribute similarities on each transaction collaborative data analysis method. With support of time serious data including predictive analytics for decision making the detection of attitude and money laundering activities that are used to deliver classified result in efficient way
Epidemiological investigation of traumatic upper extremity fractures in children who applied to emergency department

A B S T R A C T Introduction: Serious and potentially fatal multi-trauma in childhood can rarely be seen. However, each one of 5 children is exposed to minor trauma . Our aim is to reveal upper extremity traumas, trauma mechanisms and seasonal relationship in children under 18 years of age. Patients and methods: In this retrospective study, the files and graphs of 500 patients under 18 years old who applied to Tokat Gaziosmanpasa University Medical Faculty Emergency Service after trauma were examined through Enlil and PACS system. 328 patients with upper extremity pathology were included in the study. These patients were analyzed according to different age groups (0-4,5-8,9-12,13-17). Results: 500 patients were screened and 328 patients (65.6%) with upper extremity trauma were included. 109 (33.23%) patients were female and 209 (66.77%) patients were male. The most frequent 0-4 year upper extremity traumas (n = 39) in girls were found to decrease with age. In boys, it was found that the upper extremity traumas increased with age, the most common age was 13-17 (n = 79). The distal radius fracture (n = 64) and distal humerus fracture (n = 61) were the most common in upper extremity traumas. The highest falling down in the etiology of 328 patients with upper extremity pathology (n = 149, 45.43%) was detected. It was determined that traumatic upper extremity pathologies were followed most in summer (36.58%) followed by autumn, spring and winter respectively. Conclusion: Two - thirds of children under 18 years old who applied for trauma were admitted due to upper extremity trauma. It was found that fracture of the distal radius (n = 87) was the most (33.85%) when the isolated radius fractures, bilateral forearm fractures, and upper extremity multiple fractures were evaluated together in children.
Trisomy 8: an international study of 70 patients.

: The Warkany syndrome is characterized by mental retardation, relatively specific facies, absent or dysplastic patellas, joint contractures, plantar/palmar furrows, distinctively abnormal toe posture, vertebral anomalies, narrow pelvis, ureteral-renal anomalies, or other abnormalities. There is no association with advanced parental age, and birthweight and length are usually commensurate with gestational age. The chromosomal mechanisms accounting for the WS include either literal trisomy (8 (aneuploidy), usually if not always with mosaicism, or translocation leading to partial trisomy 8 (8q2). In addition, some patients with mosaic trisomy 8 may not have the Warkany syndrome.
Advances in phylogenetic studies of Nematoda

Nematoda is a metazoan group with extremely high diversity only next to Insecta. Caenorhabditis elegans is now a favorable experimental model animal in modern developmental biology, genetics and genomics studies. However, the phylogeny of Nematoda and the phylogenetic position of the phylum within animal kingdom have long been in debate. Recent molecular phylogenetic studies gave great challenges to the traditional nematode classification. The new phylogenies not only placed the Nematoda in the Ecdysozoan and divided the phylum into five clades, but also provided new insights into animal molecular identification and phylogenetic biodiversity studies. The present paper reviews major progress and remaining problems in the current molecular phylogenetic studies of Nematoda, and prospects the developmental tendencies of this field.
Motion Control for Nonholonomic Wheeled Mobile Robots with Obstacle Avoidance

In the last few decades, an autonomous wheeled mobile robot (WMR) system has gained a great deal of attention from the control and robotics communities. This system finds various applications in civilian and military areas because they can perform tasks autonomously in hostile or dangerous environments without human intervention. Also, rapid advances in sensing and computing technologies have contributed to considerable growth in research activities in the WMR system. A unicycle-type WMR is described as an under-actuated mechanical system because it has more degrees of freedom to be controlled (three variables, i.e., position in x-axis and y-axis, and heading angle) than the number of independent control inputs (two commands). The control of an under-actuated WMR system has become an active research field recently because of both challenges in applied nonlinear control theory and its practical importance. While the WMR works autonomously and safely in a clustered environment, it should have a capability to follow/track predefined paths and to avoid colliding obstacles. The main aims of this research are to deploy the smooth time-varying feedback control strategies to solve these two motion control problems, namely, pathfollowing/ tracking and obstacle avoidance. Recently, some techniques have been developed to deal with these problems. These include a new level curve approach [1], the novel local potential functions [2, 3], bounded control for secondorder systems [4], and the practical control algorithm [5]. The first work attempts to build global state-feedback controllers for the WMR following the reference path in the obstacle-free environment. Globally asymptotic convergence to zero of variables’ errors and boundedness of control inputs are considered. In the next three parts, the research attempts to extend the above works to the scenario where collision avoidance between the WMR and obstacles, and constraints in the control inputs (saturation control) are considered. The feasibility and efficiency of the designed control laws are verified throughout the thesis with simulations.
Morphology and laminar distribution of cortico-claustral neurons in different areas of the rabbit cerebral cortex

This study examines the morphology and laminar distribution of cortico- claustral neurons that were retrogradely labelled after single injections of biotinylated dextran amine in the caudal two thirds of the rabbit insular claustrum. Labelled neurons were studied in neocortical areas 17, 18, and A2, insular cortex and cingulate areas 24a,b and 29b,c,d. Most of the labelled neurons lay in layer VI for area 17 and in layer V for the remaining areas. Most of the labelled neurons were either normally oriented pyramidal cells or inverted neurons (spiny neurons with their major dendritic shaft oriented towards the white matter). Labelled inverted neurons were 85% for area 17 and under 30% for other isocortical areas. For the allocortex, they were less than 20%. For all areas, labelled inverted neurons lay chiefly in layer VI and normally oriented pyramidal neurons in layer V. The findings show that while neurons with inverted morphology are a minor but consistent source for axonal projections from the cortex to the claustrum, they are paramount in area 17. The findings also show that the laminar distribution of cortico- claustral cells is also area-specific.
Evolutionary Algorithms for Multiobjective Optimization

title :Evolutionary Algorithms for Multiobjective Optimization author : Mgr. Martin Pilát department : Institute of Computer Science, AS CR supervisor : Mgr. Roman Neruda, CSc. , Institute of Computer Science, AS CR keywords : Multi-objective optimization, surrogate models, evolutionary algorithms, model selection, hyper-parameter tuning Multi-objective evolutionary algorithms have gained a lot of attention in the recent years. They have proven to be among the best multiobjective optimizers and have been used in many industrial applications. However, their usability is hindered by the large number of evaluations of the objective functions they require. These can be expensive when solving practical tasks. In order to reduce the number of objective function evaluations, surrogate models can be used. These are a simple and fast approximations of the real objectives. In this work we present the results of research made between the years 2009 and 2013. We present a multi-objective evolutionary algorithm with aggregate surrogate model, its newer version, which also uses a surrogate model for the pre-selection of individuals. In the next part we discuss the problem of selection of a particular type of model. We show which characteristics of the various models are important and desirable and provide a framework which combines surrogate modeling with meta-learning. Finally, in the last part, we apply multi-objective optimization to the problem of hyper-parameters tuning. We show that additional objectives can make finding of good parameters for classifiers faster.
Preparación de los Sistemas de Distribución de América Latina y el Caribe para la Tecnología de “SMART GRIDS”

Como globalmente estamos empeñados en contrarrestar el cambio climático es urgente que el sector eléctrico incorpore generación limpia, particularmente incorporando recursos renovables, que en su versión de mayor difusión es de pequeña escala y está adoptando la forma de generación distribuida. Puesto que el sector eléctrico es responsable de una parte importante de la producción de gases de efecto invernadero las restricciones ambientales, son importantes.