Miracle-dz/UniFAR-FTUs huggingface dataset:
Reusable, semantic, and context-aware micro-architecture : approach to managing interoperability and dynamics in smart spaces

The amount of shared information has increased a great deal in ubiquitous systems, where the previously isolated devices and appliances have become part of the system and are producing or consuming the information. The ubiquitous system, or the smart environment, lacks an approach that supports scalability and enables semantic interoperability. It is challenging to provide a dynamic behavior at the run time without human intervention. A number of dedicated solutions have been developed for the ubiquitous environment because of its complexity. The dedicated solutions are usually non reusable. An approach is needed that i) is reusable as such or partly, ii) provides the semantic interoperability, iii) enables dynamic and behavioral interoperability between the receiver and sender of the information at run time, and iv) is scalable by being modular, and decoupled. This thesis proposes a novel approach to managing interoperability and dynamics in smart spaces. The approach includes a Context-Aware Micro-Architecture (CAMA), and a Context Ontology for Smart Spaces (CO4SS). This approach is independent of implementation languages and communication techniques. CAMA, as an architectural pattern, is usable without its semantic support, CO4SS. In the literature, it is the first approach that fulfills the requirements that are set for a context data distribution system. The power in CAMA relies on the usage of the standard and web-based techniques, in the separation-of-concerns principle, and in the enhanced control loop, MAPE-K. The latter has four parts, Monitor; Analyze; Plan; Execute that share Knowledge. CAMA is highly dynamic, which is due to the run-time updatable rules. The creation of the rules is laborious, as they are written into text boxes of Message Sequence Charts. This will be improved when new tools are developed for the rule creation. Additional research is needed to validate the scalability of the approach with a “Big data”. CO4SS can be widened with the domain-specific and quality ontologies. It supports the evolution management of the smart space: all smart spaces and their applications ‘understand’ the common language that is defined by it. CO4SS has the potential to be a de facto ontology for the contextaware, i.e., intelligent applications.
An Immunological Algorithm for Combinatorial Optimization: the FuelDistribution Problem as Case Study

Abstract Routing problems are classical combinatorial optimization tasks that find much applicability in numerous industrial and real-world scenarios. One challenging variant of the routing problem is the Fuel Distribution Problem (FDP) that a transportation company must face in its everyday operations. The main activity of a transportation fuel company is restocking all its stores, i.e. petrol stations, along a geographical map, with the goal to minimizing its overall costs. In this research work we present a hybrid heuristic based on the metaphor of the immune system for solving the FDP, which basically asks to find a set of routes as shorter as possible for a fixed number of company’s vehicles in order to satisfy the several received demands of customers. In particular, the presented immunological algorithm takes inspiration by the clonal selection principle, whose key features are cloning, hyper- mutation, and aging operators. Such algorithm is also characterized, in having a (i) deterministic approach based on the Depth First Search (DFS) algorithm - used in the scheme of assigning a vertex to a vehicle - and (ii) a local search operator, based on the exploration of the neighborhood. The algorithm has been tested on one real data instance, with 82 vertices, and 25 others artificial different instances, taken from DIMACS graph coloring benchmark. The experimental results presented in this work, not only prove the robustness and efficiency of the developed algorithm, but show also the goodness of the local search, and the approach based on the DFS algorithm. Both methodologies help the algorithm to better explore the complex search space.
Bile Duct Injury - Parameters and Indicators for a Successful Outcome: A Study of 17 Cases

Bile duct injury is a known devastating complication following surgery upon the biliary tract; most commonly occurring after cholecystectomy. The injuries are more severe following laparoscopic cholecystectomy than open cholecystectomy. Various classifications are used to describe the different types of bile duct injury; Bismuth, Strassbourg, Brisbane are some of them. More proximal the injury more challenging it is for the surgeon to treat with poor outcomes. Biliary sepsis is a dangerous development, which adds to the morbidity and mortality of the patient. Surgical intervention is done when the sepsis is controlled; the patient is stable and fit for surgery. Roux-en-Y hepaticojejunostomy is the surgery of choice in most cases.
On using the Software Cleanroom Process in automated test equipment applications

The CISP Group is currently developing LabVIEW software for a large ATE project sponsored by a national consumer electronics company. When completed, the code will be tens of megabytes in size with hundreds of VIs. On projects of this size, software engineering and configuration management tools are a necessity. Elements of the Software Cleanroom Process design philosophy were successfully adapted to the LabVIEW environment. The paper outlines the processes used and shares experiences to date.
Attitudes to death of nurses in Turkey and factors affecting them

Death is a fact in everyone’s life. Feifel1 wrote, “Dying and death are events that happen to each one of us. We can postpone, gain reprieves, but ultimately we all must die. ”. 1,2 Although death is a universal experience shared by everyone, in Turkey it remains so some extent a taboo subject in many social groups.3,4 Death in most cultures is met with denial, rejection, and fear of the unknown.5,6
The association of anthropometric indices and cardiac function in healthy adults

BACKGROUND Obesity is a major risk factor for many diseases including cardiovascular diseases (CVDs). Recently, it has been shown that upper body obesity can predict CVDs per se. In this study, we aimed to determine the association between indicators of upper body obesity and echocardiographic indices. METHODS In this cross-sectional study conducted in Hajar Hospital in Shahrekord, Iran, from March to August 2014, 80 healthy adults were included. Participants’ neck circumference (NC), waist circumference (WC), body mass index (BMI), and blood pressure were measured. Echocardiography was performed for all participants, and echocardiographic indices such as early (E’) and late (A') diastolic tissue velocity, early (E) and late (A) transmitral flow velocity, E/E’ ratio, pulmonary arterial pressure (PAP), and left atrial volume (LAV) were recorded. The association between these indices were investigated using bivariate Pearson correlation coefficient. RESULTS For men, NC had a significant correlation with LAV, systolic blood pressure (SBP), diastolic blood pressure (DBP), PAP, and A', and a negative correlation with E′. WC had a significant correlation with LAV, SBP, and PAP, and a negative correlation with E′, while BMI had a significant correlation with LAV, PAP, SBP, A, and A’. For women, NC had a significant positive correlation with LAV, A, ejection fraction (EF), SBP, PAP, and A’, and a negative correlation with E′ and E/E′. WC had a significant positive correlation with LAV, DBP, PAP, A, A’, and a negative correlation with E′, while BMI had a significant correlation with LAV, EF, SBP, PAP, E’, A, and A’. CONCLUSION The positive correlation of NC with SBP, A, and A', as well as NC, WC, and BMI with LAV and PAP in both sexes, and the negative correlation of NC with E′ show the importance of these measures in estimation of metabolic and cardiovascular risk factors.
PHARMACOLOGICAL TREATMENT OF OSTEOPOROSIS IN PATIENTS WITH CORONARY HEART DISEASE COMPLICATED BY CHRONIC HEART FAILURE

Objective: Chronic heart failure (CHF) is a chronic multisystem disorder associated with a myriad of metabolic disturbances. Moreover, CHF may adversely affect bone metabolism and induce a severe bone loss, increasing susceptibility to fractures and osteoporosis. This study investigates the effect of combined calcium with Vitamin D3 supplement called “calcemin advance” and calcitonin in the prophylaxis and treatment of osteopenia and osteoporosis in patients with coronary heart disease (CHD) complicated by CHF with the establishment of their influence on the bone mineral density (BMD). Methods: A total of 59 patients with CHD complicated by CHF. Interventions: The physical examination findings, dual-energy X-ray absorptiometry findings, and treatment results were assessed.Results: The results of the calcemin advance usage in patients with osteopenic changes showed a positive dynamics of the studied parameters, both in the lumbar spine and in the femoral bone. In patients with osteoporosis, the usage of osteoprotective therapy (calcemin advance+miacalcic) contributed to the increasing of BMD in the lumbar spine and in the femoral bone versus patients who received only combined calcium with Vitamin D3 supplement.Conclusions: Our results suggest that bone density screening could be recommended in patients with prevalent CHF. Moreover, the results of our investigation substantiate the necessity and effectiveness of osteoprotective therapy in patients with CHF with osteoporosis by calcitonin (Miacalcic), in combination with combined calcium and Vitamin D3 supplement (calcemin advance), and by only calcemin advance - in patients with CHF and osteopenia.
Depressive Disorders among People with Chronic Illness in an Urban Area of South India

Background: Over the past decades, twin demographic and epidemiological transitions have been reflected an increase in the burden of chronic diseases. Although public health practitioners have recognized the increasing burden, the socioeconomic and overall health impact is to be adequately researched. Depressive disorders are considered an important correlate, for appropriate management of chronic disease but have been given relatively less importance. Hence, this study was taken up in an urban slum of Bengaluru city to explore the associations between depressive disorders and chronic diseases. Methodology: The cross-sectional community-based study was conducted in an urban slum of Bengaluru city using a modified cluster sampling technique. All persons who were ill or on long-term medication or were hospitalized for a period more than 3 weeks in the past 1 year were interviewed. A semi-structured pre-tested questionnaire incorporating Hamilton Depression Rating Scale was used. Results: He overall prevalence of chronic illness was 10% among the study population with 10.9% having mild depression, and 1.2% having mild-moderate depression, and none severe depression. None of them were taking any treatment for their depression. The mean age of those with mild depression was 53.9 years and was greater among females (males 5.0% and females 16.7%). The latter was highly statistically significant. Of the 91 persons with symptoms of mild depression, nearly two-thirds (58.2%) belonged to Class IV of Modified B G. Prasad’s classification. Factor analysis showed that HAM-D scores to have a significant relation with chronic illness. Discussion: Depressive disorders among those with chronic disorders are hitherto unrecognized in routine clinical practice. Middle ages, females and those lower down in the socioeconomic hierarchy are at greater risk. There is a need to establish a mechanism for appropriate management of these disorders. Key words: Chronic illness, depressive disorders, urban area
Approach to sexuality in the care of cancer patients: barriers and strategies

Escola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, SP, Brazil. Confl icts of interest: there are no confl icts of interest to declare. Abstract Objective: To identify intervening factors in the approach to sexuality, by patients and professionals, and to describe strategies used in this approach in the care of cancer patients. Methods: Integrative literature review, based on systematic steps, databases and/or electronic libraries: LILACS, PUbMed, MEDLINE, IBECS, ScIELO, UpToDate, BDEnf. Searches were carried out between December 2016 and July 2017. Inclusion criteria: studies with cancer patients aged over 18; published in the last ten years (2007-2017); available in full; written in Portuguese, Spanish, and English. Theses, essays, reviews (systematic, narrative, and integrative), opinion articles and editorials were excluded. Results: Eighteen articles were included, six of which were related to intervening factors, and 12 articles related to strategies adopted to address sexuality. Most articles show ed how diffi cult it is to address the topic in professional practice, from a communication point of view and also regarding interpersonal relationships between patients and health professionals, reaffi rming that the sexual health of patients is often overlooked. Studies that addressed the measures taken to remedy the shortcomings showed different degrees of positivity and that it is necessary to train professionals by means of guidance and counseling strategies. Intervention models can be found in the literature. Conclusion: Sexuality is overlooked in the care of cancer patients. Multidisciplinary care in oncology has to acknowledge this situation and implement, in a joint action, educational and psychosocial support activities so this basic human need is met.
Synthesis and characterization of DC magnetron sputtered nano structured molybdenum thin films

Molybdenum (Mo) thin films were deposited on corning glass (#7059) substrates using DC magnetron sputtering system. The effect of substrate temperature on the structural, morphology and topological properties have been investigated. Films were characterized by variety of techniques such as low angle x-ray diffraction (low angle XRD), field emission scanning electron microscopy (FE-SEM), atomic force microscopy (AFM). The low angle XRD analysis revealed that the synthesized Mo films are nanocrystalline having cubic crystal structure with (110) preferential orientation. The microstructure of the deposited Mo thin films observed with FE-SEM images indicated that films are homogeneous and uniform with randomly oriented leaf shape morphology. The AFM analysis shows that with increase in substrate temperature the rms roughness of Mo films increases. The obtained results suggest that the synthesized nanostructured Mo thin films have potential application as a back contact material for high efficiency solar cells.
Validation of Two Rapid Serological Tests for Human Brucellosis Detection

As brucellosis have several non-specific clinical phases, the search for reliable diagnosis of the disease is necessary. Therefore, for serological determination of brucellosis, rapid immunofiltration tests designated as ERIFA and NERIFA and ELISAs were developed and evaluated for diagnostic purposes. The sera were collected from Clinical Microbiology Department of Kars State Hospital between 2007 and 2009. These sera were used for determination of sensitivity of ELISAs, ERIFA and NERIFA in comparison to rose bengal test, Brucellacapt and serum agglutination tests. In the study, highest sensitivity was detected by ELISA, ERIFA and NERIFA, respectively. Specificity was highest with ELISA as 95.2% and with both ERIFA and NERIFA as 92.9% and the lowest was with RBT as 90.5%. When two ELISAs were compared based on the IgG sensitivity, there was no difference (p0.05) when IgM was accepted as a criteria for comparison. The current study reports the first evaluation of ERIFA and NERIFA in human beings. It is concluded that the RIFA models can be accepted as an ancillary test for diagnosis of human brucellosis in endemic countries.
Prevalence of depression and associated factors among haemodialysis patients at government and private hospitals in Addis Ababa

Background: Depression is the most common psychiatric disorder in long-term dialysis patients and a risk factor for morbidity and mortality. Depression in haemodialysis patients has been persistently underdiagnosed and undertreated. There are negative consequences for the individual in respect of family roles, work competence, sexual function and mobility. We aimed to assess the prevalence of depression and associated factors among haemodialysis patients at government and private hospitals in Addis Ababa, Ethiopia. Methods: A cross-sectional study was conducted from May to June 2017 at government and private hospitals in Addis Ababa. The Patient Health Questionnaire (PHQ-9) was used to assess depression and the Oslo Social Support Scale (OSLO-3) was employed to assess social support. Results: A total of 426 patients were included. The mean age was 45.6 ± 15.0 years and 65.3% were male. The prevalence of depression was 60.3%. Factors associated with depression included being female (adjusted odds ratio (OR) 1.7), comorbid medical illness (OR 1.9), poor social support (OR 3.8), and medium income (OR 2.8). Conclusions: Depression is very common among haemodialysis patients in Ethiopia and should always be considered in their management. Being female, having poor social support, being subject to other medical illnesses and a medium level of income were risk factors for depression. Future studies should assess the adequacy of dialysis as under-treatment may contribute to the high rate of depression observed.
Do nurses have fair knowledge about breast cancer? A cross sectional study in king Abdul-Aziz university hospital

BC is a major health issue. Various studies have concluded that screening and early detection can lead to a better chance of survival.5 Early detection improves survival in one third of patients.6 Secondary prevention via screening programs and awareness campaigns plays a crucial role in decreasing cancer mortalities.7 It is especially important for health worker to have good knowledge about their risk factors and screening methods.
Heuristics for improved enterprise intrusion detection

One of the greatest challenges facing network operators today is the identification of malicious activity on their networks. The current approach is to deploy a set of intrusion detection sensors (IDSs) in various locations throughout the network and on strategic hosts. Unfortunately, the available intrusion detection technologies generate an overwhelming volume of false alarms, making the task of identifying genuine attacks nearly impossible. This problem is very difficult to solve even in networks of nominal size. The task of uncovering attacks in enterprise class networks quickly becomes unmanageable. Research on improving intrusion detection sensors is ongoing, but given the nature of the problem to be solved, progress is slow. Research simultaneously continues in the field of mining the set of alarms produced by IDS sensors. Varying techniques have been proposed to aggregate, correlate, and classify the alarms in ways that make the end result more concise and digestible for human analysis. To date, the majority of these techniques have been successful only in networks of modest size. As a means of extending this research to real world, enterprise scale networks, we propose 5 heuristics supporting a three-pronged approach to the systematic evaluation of large intrusion detection logs. Primarily, we provide a set of algorithms to assist operations personnel in the daunting task of ensuring that no true attack goes unnoticed. Secondly, we provide information that can be used to tune the sensors which are deployed on the network, reducing the overall alarm volume, thus mitigating the monitoring costs both in terms of hardware and labor, and improving overall accuracy. Third, we provide a means of discovering stages of attacks that were overlooked by the analyst, based on logs of known security incidents. Our techniques work by applying a combination of graph algorithms and Markovian stochastic processes to perform probabilistic analysis as to whether an alarm is a true or false positive. Using these techniques it is possible to significantly reduce the total number of alarms and hosts which must be examined manually, while simultaneously discovering attacks that had previously gone unnoticed. The proposed algorithms are also successful at the discovery of new profiles for multi-stage attacks, and can be used in the automatic generation of meta-alarms, or rules to assist the monitoring infrastructure in performing automated analysis. We demonstrate that it is possible to successfully rank hosts which comprise the vertices of an Alarm Graph in a manner such that those hosts which are of highest risk for being involved in attack are immediately highlighted for examination or inclusion on hot lists. We close with an evaluation of 3 sensor profiling algorithms, and show that the order in which alarms are generated is tightly coupled with whether or not they are false positives. We show that by using time based Markovian analysis of the alarms, we are able to identify alarms which have a high probability of being attacks, and suppress more than 90% of false positives.
Developing a Constructivist Proposal for Primary Teachers to Teach Science Process Skills: "Extended" Simple Science Experiments (ESSE).

Although science experiments are the basis of teaching science process skills (SPS), it has been observed that a large number of prospective primary teachers (PPTs), by virtue of their background, feel anxious about doing science experiments. To overcome this problem, a proposal was suggested for primary school teachers (PSTs) Asia-Pacific Forum on Science Learning and Teaching, Volume 16, Issue 1, Article 16, p.2 (Jun., 2015) Necati HIRÇA Developing a constructivist proposal for primary teachers to teach science process skills: “Extended” simple science experiments (ESSE) Copyright (C) 2015 HKIEd APFSLT. Volume 16, Issue 1, Article 16 (Jun., 2015). All Rights Reserved. to teach science and SPS without focusing on “structure” of experiments based on Constructivist 5E Model. Some “extended” simple science experiment (ESSE) samples were implemented to 39 PPTs according to this proposal. Then, 39 PPTs were allowed to design and to conduct several ESSE. Finally, they assessed their ESSE experiences. They stated that ESSE is not only easy and enjoyable to engage in science but also useful for teaching and learning science concepts and SPS. In this paper, ESSE process is illustrated in “Sound is a kind of energy” experiment.
Barriers to Adopting Emerging Technologies in Education

The purpose of this article is to examine barriers to technology adoption based on the literature and on data from two studies (the first with K-12 teachers and the second with higher education faculty in a state system). A product of this examination is a visual representation, a model of the interactions and the interdependence of elements that contribute to the construction of barriers to technology adoption. It is intended that the model will clarify internal and external obstacles, and serve as an aid to pre-service and in-service teacher education curriculum designers and developers as they plan for the successful infusion of newer technologies in the curriculum.