Miracle-dz/UniFAR-FTUs huggingface dataset:
Sensitivity Analysis of Probabilistic Graphical Models: Theoretical Results and Their Applications on Bayesian Network Modeling and Inference

Probabilistic graphical models such as Bayesian networks are widely used for large-scale data analysis in various fields such as customer data analysis and medical diagnosis, as they model probabilistic knowledge naturally and allow the use of efficient inference algorithms to draw conclusions from the model. Sensitivity analysis of probabilistic graphical models is the analysis of the relationships between the inputs (local beliefs), such as network parameters, and the outputs (global beliefs), such as values of probabilistic queries, and addresses the central research problem of how beliefs will be changed when we incorporate new information to the current model. This book provides many theoretical results, such as the assessment of global belief changes due to local belief changes, the identification of local belief changes that induce certain global belief changes, and the quantifying of belief changes in general. These results can be applied on the modeling and inference of Bayesian networks, and provide a critical tool for the researchers, developers, and users of Bayesian networks during the process of probabilistic data modeling and reasoning.
A Memory Allocation Model for Cassandra Database

Cassandra database system is one of the universal databases. To achieve high performance, we should allocate memory space rationally according to actual demands. To solve this problem, we firstly analyze the reading and writing process of Cassandra database and find out the corresponding memory space which will influence system performance. Secondly, we build up a relationship model between system performance and memory allocation. We have already applied the relationship model to real database servers for memory allocation and performance evaluation. Simulation results show that this memory model could describe the quantization relationship between memory space and system performance very well. It can help us get a higher performance for the Cassandra application.
60 GHz Beamforming Transmitter Design for Pulse Doppler Radar

Beamforming systems operating at millimeter-wave frequencies provide spatial selectivity, array gain and wide bandwidth, which benefit point-to-point Gb/s wireless communication network and high-resolution radar applications. In this thesis, a 60 GHz beamforming transmitter for a pulse Doppler radar is designed, which can be used for indoor presence detection. Our treatment includes system definition, proposing a system architecture, and circuit-level implementation.
Electronic Design Automation with Graphic Processors: A Survey

Today’s Integrated Circuit (IC) architects depend on Electronic Design Automation (EDA) software to conquer the overwhelming complexity of Very Large Scale Integrated (VLSI) designs. As the complexity of IC chips is still fast increasing, it is critical to maintain the momentum towards growing productivity of EDA tools. On the other hand, singlecore Central Processing Unit (CPU) performance is unlikely to see significant improvement in the near future. It is thus essential to develop highly efficient parallel algorithms and implementations for EDA applications, so that their overall productivity can continue to increase in a scalable fashion. Among various emergent parallel platforms, Graphics Processing Units (GPUs) now offer the highest single-chip computing throughput. A large body of research, therefore, has been dedicated to accelerating EDA applications with GPUs. This monograph is aimed to develop a timely review of the existing literature on GPU-based EDA computing. Considering the substantial diversity of VLSI CAD algorithms, we extend a taxonomy of EDA computing patterns, which can Full text available at: http://dx.doi. org/10.1561/1000000028
Dynamic Connected Components in Large Fully Distributed Graphs

Dynamic graphs are graphs that evolve and change over time. As the data represented by a dynamic graph G changes increasingly rapidly and at a greater volume, it becomes computationally infeasible to recompute the static connected components at each time t that a dynamic event occurs in G. Thus, it is necessary to develop methods for computing and evolving the connected components of a dynamic graph as the graph changes over time while eliminating the need to perform a static recomputation of the connected components of G. While a novel algorithm for computing connected components in parallel for large fully dynamic graphs on a shared memory, distributed processing architecture was recently developed [6], to the best of the author’s knowledge, there have been no previously published algorithms designed for computing connected components over large dynamic graphs on fully distributed architectures, distributed processing and distributed memory/storage architectures, such as Hadoop. In this paper, we present such an algorithm and provide details of its implementation in the MapReduce pro-
A 5 year trend and predictors of preterm births in single referral centre of the Greater Kuala Lumpur, Malaysia

As the leading cause of prenatal morbidity and mortality, preterm birth had been a public health concern and the focus of World Health Organization (WHO) since 2010 under the Millenium Development Goal (MDG) and Sustainable Development Goal (SDG) indicators. Globally, it is the second cause of death for children under five, after pneumonia.1–4 The Global Action Report reported an increasing trend with Malaysia at the 47th place in 2010.2 Its multifactorial causes include social factors such as racial disparity among the blacks and hispanics,5 tobacco and alcohol use and nature of job,6 maternal height,7 maternal weight,8 maternal age9,10 and infant gender.9–11 Increasing subfertility among women of reproductive age in developed and developing countries (5% 26%) and men (14-22%)12 led to usage of reproductive technology which was linked to multiple gestation and preterm birth.12,13
Moving Beyond Description

This Twitter Research Forum essay by Communication & Sport Associate Editor Marie Hardin explores the life cycle of scholarship concerning Twitter and other forms of social media in the sporting context. While noting that reliance on descriptive research and content analyses during the relative infancy of Twitter and other social media was sensible in understanding the “message” tendencies of new media forms, the paucity of conceptual and theoretical drive in much of this early research has been notable. Hardin argues that the next logical step in research on social media and sport is to put a much higher priority on studies that theorize new media in communicative terms and place understanding their importance and functioning in a wider sociocultural context. The critique notes the ease of data collection in Twitter research on sport has too often not challenged researchers to go beyond observations about “low-hanging fruit” and to explore understanding of Twitter as a site of discourse around power and identities. Hardin’s essay concludes by noting the need for effects research to really assess whether Twitter is a “game changer” and for communication and sport scholars to bridge social sciences and the humanities in future inquiry.
DIABETES MELLITUS TREATMENT: A RAPID REVIEW ON INNOVATIVE THERAPIES

Diabetes mellitus is a chronic and metabolic disorder which results from defects in a section of insulin, action of insulin, or both. Primarily drugs are used to control the symptoms and save life. Secondary aims are to prevent long-term diabetic complications and by eliminating various risk factors to increase longevity. In type I diabetes mellitus, new innovative therapies such as pancreatic transplantation, pancreatic islet transplantation, stem cell therapy, transdifferentiation, and gene therapy are discussed, and regarding type II diabetes mellitus, treatment is based on drugs which stimulates the secretion of insulin such as conventional therapy, antihypoglycemic agents such as insulin, insulin secretagogues, and insulin sensitizers, α-glucosidase inhibitors, dipeptidyl peptidase-4 inhibitors, and sodium-glucose cotransporter 2 inhibitors, and a list of patents for the treatment of diabetes mellitus are discussed in this review article.
Uma infra-estrutura de integração de sistemas utilizando notificações por meio de web services

Application integration is a critical task, since it requires dealing with information systems of different partners (e.g. costumers, suppliers, internal applications) on-line. However, the development of this interoperability is expensive and time consuming. Web Services provide interesting solutions with regard to these problems, allowing systems to exchange information with less integration efforts and more flexibility. However, there are still open problems in the integration of systems with Web Services. Message-based interoperation decouples systems, focusing on the control over system interaction and exchanged information. In this way, it helps solving some of the problems faced in the traditional integration of systems. WS-Notification is a Web Service messaging standard that is composed of a set of open specifications that use Web Services to exchange information among applications through asynchronous messages. However, many (legacy) information systems are not prepared to interoperate with other systems through messages, and therefore, they need to be specifically adapted for this kind of integration. This work proposes an integration Infra-Structure that guides the adaptation of conventional information systems and their integration, considering the standard WSNotification. The design of the proposed Infra-Structure was based on the identification of issues that must be handled for system integration using message notification. Design and architectural patterns that could be applied to solve these issues were identified, resulting in the definition of a set of components that, together, form the integration Infra-Structure. The Infra-Structure is detailed in terms of its components, the issues they handle, as well as their relationships with other components and with systems that are integrated. The Infra-Structure is applied in three case studies with different integration issues, and a preliminary performance analysis was developed. Key-words: Systems Integration, Web Services, EAI, WS-Notification and Design Patterns.
Tamoxifen Effects on the lipid profile in premenopausal women with Breast cancer: A follow up study

Background: Breast cancer composed of several biologic subtypes that have response to hormonal therapy. Tamoxifen is hormonal therapy with tissue- pecific antagonistic or agonist effects, the latter being responsible for multiple effects on lipid metabolism in women . Objective: This study was designed to determine the impact of Tamoxifen on the serum lipid profile in breast cancer women. Patients and methods: Prospective observation cohort study conducted at Oncology Teaching Hospital, Medical city complx.starting from October 2015 to October 2016. A total number of 40 premenopausal women with breast cancer were enrolled in this study according to inclusion criteria . Patients were followed for three months by the measurements TC, TG, HDL – cholesterol and BMI . Results: At the end of third months of hormonal therapy, Tamoxifen showed a significant decrease in TG, VLDL (p< 0.001 for both). On the other side HDL and BMI showed significant increase over three months duration , (p = 0.001 and 0.006, respectively) . Conclusion: Beneficial alterations of lipid profiles were seen in pre-menopausal breast cancer patients treated with Tamoxifen.
Knowledge, Attitude, and Practices of Oral and Maxillofacial Surgeons Regarding Behavior Guidance Techniques for Managing Child Patients

Amac: Bu calismanin amaci, kamu ve ozel kliniklerde cocuk hastalara tedavi hizmeti veren agiz, dis ve cene cerrahlarinin korku ve kaygiyi azaltan davranis yonlendirme tekniklerine iliskin bilgi, tutum ve uygulamalarini degerlendirmektir. Gerec ve Yontem: Bu kesitsel calismada, katilimcilar Turkiye'deki ozel ve kamu kliniklerinde cocuk hastalari tedavi hizmeti veren agiz ve cene cerrahlaridir. Anketler bir web sitesi uzerinden elektronik form araciligiyla uygulandi. Calismada elde edilen bulgular IBM SPSS Statistics 22 (IBM SPSS, Turkiye) programi kullanilarak degerlendirildi. Anlamlilik p<0,05 duzeyinde degerlendirildi. Bulgular: Katilimcilarin %60’i uzmanlik ogrencisi, %9’u doktora ogrencisi, %16’si agiz dis ve cene cerrahi, %15’i universitede agiz dis ve cene cerrahisi bolumunde ogretim uyesiydi. Hekimlerin %45’i her zaman cocuk hastada calisma sorumlulugunu alabildigini soylerken, %33’u sik sik, %22’si bu sorumlulugu bazen aldigini belirtti. Katilimcilarin %55’i cocuklarda davranis yonlendirme teknikleri hakkinda egitim aldigini belirtti. Katilimcilarin kullandiklari davranis yonlendirme teknikleri soruldugunda, %93’unun anlat-goster-uygula, %69’unun ses kontrolu, %27’sinin sozsuz iletisim, %73’unun pozitif destekleme, %61’inin ilgiyi dagitma, %59’unun ebeveyn varligi-yoklugu, %15’inin agzin elle ortulmesi, %36’sinin cocugun sabitlenmesi, %36’sinin sedasyon, %46’sinin genel anestezi ve %2’sinin hipnoz yontemini kullandigi tespit edildi. Sonu c: Bu calismanin sonuclari, cene cerrahlarinin davranis yonlendirme teknikleri konusundaki farkindaliginin yuksek oldugunu ve bu farkindaligin yas, cinsiyet, calisma yeri, calisma deneyimi ve egitime gore bireysel farklilik olusturdugunu gostermektedir.
Military Deployment and Reintegration: A Systematic Review of Child Coping

Topic Child coping with parent military deployment and family reintegration. Purpose A systematic review of research literature was conducted to examine the effects of deployment and family reintegration on children in military families. Sources Used A search of CINAHL, PubMed, Psyc-INFO, and SocINDEX databases was performed using the terms “military family,” “military child,” “child coping,” “deployment,” and “reintegration. ” The search was limited to publications between 2001 and 2014 to focus on the effects of Operation Enduring Freedom (OEF), Operation Iraqi Freedom (OIF), and Operation New Dawn (OND). Twenty-seven research reports met inclusion criteria. Conclusions Three themes were extracted: A child's coping is influenced by (a) the child's age and development, (b) the mental health and coping of the non-deployed parent during deployment, and the mental health of both parents during family reintegration, and (c) the pre-existing resilience/vulnerability, cumulative risks, and resources of the child and family.
CORRELATION OF DAYS OF FEVER AND THE NUMBER OF TROMBOSITES ON SECONDARY AND PRIMARY DENGUE HEMORRHAGIC FEVER INFECTION

Dengue Hemorrhagic Fever (DHF) is caused by four variants of the Dengue Hemorrhagic Fever (DHF) virus of the Flaviviridae family (DENV-1, DENV-2, DENV-3, and DENV-4). These four variants are indistinguishable clinically. The occurrence of platelet deterioration is sometimes not accompanied by positive IgG and IgM DHF results, nor can they be negative. In DHF sufferers, platelet decline will decrease steadily during the 3rd to 6th day and will increase on the 7th day. This research is retrospective analytical with cross sectional approach. The samples were 15 patients of Secondary DHF and 15 Primary DHF who have fulfilled the inclusion criteria. The day of fever when the patient came to the Poli Internal Medicine Dr. Soetomo Hospital is known from the patient's history, while the results of IgG and IgM DHF examination and platelet count are performed in KLINIKA Surabaya laboratory. The result of this study used correlation parametric test (Pearson's test), to know the relationship of day of fever and platelet count in Secondary and Primary DHF patients with α = 0,05. Result of day of fever with p = . 659 (p>0.05). The result of thrombocyte count with Pearson's test (p= .042) (p<0.05) showed a correlation of platelet count between Secondary and Primary DHF patients. It was concluded that there was a significant correlation the number of platelets between Secondary and Primary DHF. Keywords: Day of fever, Platelet Count, Secondary DHF Patient, Primary DHF Patient.
Process mining and verification

ion of the process under consideration. Examples of properties that check whether that is the case are: that every case that is started should be finished at some point, or that no case can result in a undesired state. In this chapter, we introduce techniques to check such properties on a process model. More precisely, we introduce process model verification, as shown in Figure 5.1.
Comparative analysis of predictive formulas for the evaluation of functional capacity with cardiopulmonary test in professional female soccer players

| To compare the validity of two oxygen consumption (VO2) prediction formulas with the values obtained through cardiopulmonary exercise test (CPT) in a treadmill with professional female soccer players. Eighteen professional female soccer players performed CPT in a treadmill with an incremental protocol. The VO2 of the gas exchange threshold (GET) was determined, as well as at peak exercise. After that, the following formula of VO2prediction i) VO2 = (0.2 x velocity) + (0.9 x velocity x incline) + 3.5 – velocity, in mph and %incline); and ii) MET (metabolic equivalent) = 6xHRI-5, where HRI = maximum heart rate/ resting heart rate, were applied in the same power for comparison. In the first formula, the values obtained in GET and at peak exercise were below the estimated, indicating that the formula overestimated VO2 and, consequently, aerobic capacity and power. In the second formula, the values were below the estimated, indicating that the formula also underestimated VO2 and, consequently, aerobic capacity and power. Given these results, the prediction formulas do not present similarity in determining the functional capacity (FC) of professional female soccer players, indicating they are not suitable for this population.
Parallel simulated annealing applied to long term transmission network expansion planning

The simulated annealing optimization technique has been successfully applied to a number of electrical engineering problems, including transmission system expansion planning. The method is general in the sense that it does not assume any particular property of the problem being solved, such as linearity or convexity. Moreover, it has the ability to provide solutions arbitrarily close to an optimum (i.e. it is asymptotically convergent) as the cooling process slows down. The drawback of the approach is the computational burden: finding optimal solutions may be extremely expensive in some cases. This paper presents a parallel simulated annealing (PSA) algorithm for solving the long-term transmission network expansion planning problem. A strategy that does not affect the basic convergence properties of the sequential simulated annealing algorithm have been implemented and tested. The paper investigates the conditions under which the parallel algorithm is most efficient. The parallel implementations have been tested on three example networks: a small 6-bus network; and two complex real-life networks. Excellent results are reported in the test section of the paper: in addition to reductions in computing times, the PSA algorithm proposed in the paper has shown significant improvements in solution quality for the largest of the test networks.
Reliability and capacity efficiency of restoration strategies for telecommunication networks

Traditional restoration strategies are designed to provide 100% restoration in the event of any single failure. The impact of simultaneous failures in the network is not frequently studied. Simultaneous failure scenarios become an important consideration when the network is subject to stringent reliability requirements. We examine and compare the robustness of two familiar restoration strategies, 1+1 and shared mesh, and two new proposals, enhanced shared mesh and enhanced shared mesh "plus", with respect to the resilience to simultaneous failures. We propose and utilize efficient algorithms to evaluate demand-pair availabilities for each restoration strategy. Our algorithms for the shared mesh and enhanced shared mesh designs represent new work in this area. We check the accuracy of our availability algorithms with a Monte Carlo simulation. We use the algorithms in conjunction with two real networks to compare the restoration strategies.
Prenatal Risk for Autism Spectrum Disorder (ASD): Fetal Cortisol Exposure Predicts Child ASD Symptoms

The etiology of autism spectrum disorder (ASD) is multifactorial, complex, and likely involves interactions among genetic, epigenetic, and environmental factors. With respect to environmental influences, a growing literature implicates intrauterine experiences in the origin of this pervasive developmental disorder. In this prospective longitudinal study, we examined the hypothesis that fetal exposure to maternal cortisol may confer ASD risk. In addition, because ASD is four times more prevalent in males than in females, and because sexually dimorphic responses to intrauterine experiences are commonly observed, we examined whether or not any associations differ by fetal sex. Maternal plasma cortisol was measured at 15, 19, 25, 31, and 37 weeks’ gestation in a sample of 84 pregnant women. ASD symptoms were assessed in their 5-year-old children with the Social Communication Questionnaire (SCQ). Fetal exposure to lower levels of maternal cortisol was associated with higher levels of ASD symptoms only among boys. The observed hypocortisolemic profile exhibited by these mothers may indicate a risk factor that precedes the stress of caregiving for a child with ASD and may not be solely a consequence of the stress of caregiving, as previously thought. These findings confirm the value of examining prenatal hormone exposures as predictors of ASD risk and support the premise that altered prenatal steroid exposures may play a role in the etiology of ASD.
Comparison of 2D and 3D Local Binary Pattern in Lung Cancer Diagnosis

Comparative study between 2D and 3D Local Binary Patter (LBP) methods for extraction from Computed Tomography (CT) imagery data in lung cancer diagnosis is conducted. The lung image classification is performed using probabilistic neural network (PNN) with histogram similarity as distance measure. The technique is evaluated on a set of CT lung images from Japan Society of Computer Aided Diagnosis of Medical Images. Experimental results show that 3D LBP has superior performance in accuracy compare to 2D LBP. The 2D LBP and 3D LBP achieved a classification accuracy of 43% and 78% respectively.