Miracle-dz/UniFAR-FTUs huggingface dataset:
Security constrained economic dispatch

Modern power systems nowadays are being operated at stability limitations. Transient (in)stability phenomenon in power system is an important area where system security must be ensured. In this paper, the problem is formulated as security constrained optimal power flow (SCOPF) and a new methodology has been proposed using evolutionary algorithm, Biogeography Based Optimisation (BBO) to solve it. BBO searches for global minima through two processes, migration and mutation of living species scattered over topography and has shown encouraging results in literature. Economic dispatch (ED) is the objective function for optimal power flow and BBO searches for global minimum of cost of generation subjected to fault like conditions. For transient stability assessment, Single Machine Equivalent (SIME) method has been used to avoid over stabilisation of the system. Tests conducted on 3 machine, 39 bus system using MATLAB establish efficacy of the proposed approach.
Tuning of perceptual technique for digital movie color restoration

In this paper we present tests and results of an automatic color fading restoration process for digitized movies. The proposed color correction method is based on the ACE model, an unsupervised color equalization algorithm based on a perceptual approach and inspired by some mechanisms of the human visual system. This perceptual approach is local, robust and does not need any user region selection or any other user supervision. However the model has a small number of parameters that has to be set once before the filtering. The tests presented in this paper aim to study these parameters and find their effect on the final result.
Low Latency, High Throughput Trade Surveillance System Using In-Memory Data Grid

Trade surveillance is an important concern in recent trading engines to detect and prevent fraudulent trades at earliest. In traditional trading platforms, to achieve high throughput and low latency requirements focus of developers has always been on high-performance languages such as C, C++ and FPGA based systems. These systems have limitations of scalability and fault-tolerance. With the arrival of in-memory technology these requirements can be met with Java-based frameworks like Ignite, Flink, Spark. In this paper, we propose a novel way of implementing trade surveillance architecture using Apache Ignite In-Memory Data Grid (IMDG). Paper discusses the engineering approach to tune system architecture on the single node in terms of achieving high throughput, low latency and then scaling out to multiple nodes.
Low DC voltage control strategy of bipolar LCC-MMC hybrid HVDC transmission system

This paper investigates a bipolar hybrid high voltage direct current (HVDC) transmission system, the rectifier adopts line commutated converter (LCC) and the inverter adopts hybrid modular multilevel converter (MMC). The hybrid HVDC transmission system not only combines the advantages of LCC and MMC, but also has a strong capability to deal with AC or DC faults. This paper mainly studies the control strategy of the bipolar LCC-MMC hybrid HVDC transmission system when running at low DC voltage. For the traditional symmetric hybrid MMC, an improved control strategy is proposed to balance the voltages of the two seed modules, which significantly expands the operating DC voltage range of the system. Moreover, the topological structure of bipolar asymmetric hybrid MMC is designed and the control strategy when running at low DC voltage is presented. It is found that the DC voltage of the bipolar asymmetric hybrid MMC remains symmetric and can be adjusted freely. At last, the simulations based on PSCAD/EMTDC show the effectiveness of the proposed control strategy.
Using the Habit App for Weight Loss Problem Solving: Development and Feasibility Study

Background Reviews of weight loss mobile apps have revealed they include very few evidence-based features, relying mostly on self-monitoring. Unfortunately, adherence to self-monitoring is often low, especially among patients with motivational challenges. One behavioral strategy that is leveraged in virtually every visit of behavioral weight loss interventions and is specifically used to deal with adherence and motivational issues is problem solving. Problem solving has been successfully implemented in depression mobile apps, but not yet in weight loss apps. Objective This study describes the development and feasibility testing of the Habit app, which was designed to automate problem-solving therapy for weight loss. Methods Two iterative single-arm pilot studies were conducted to evaluate the feasibility and acceptability of the Habit app. In each pilot study, adults who were overweight or obese were enrolled in an 8-week intervention that included the Habit app plus support via a private Facebook group. Feasibility outcomes included retention, app usage, usability, and acceptability. Changes in problem-solving skills and weight over 8 weeks are described, as well as app usage and weight change at 16 weeks. Results Results from both pilots show acceptable use of the Habit app over 8 weeks with on average two to three uses per week, the recommended rate of use. Acceptability ratings were mixed such that 54% (13/24) and 73% (11/15) of participants found the diet solutions helpful and 71% (17/24) and 80% (12/15) found setting reminders for habits helpful in pilots 1 and 2, respectively. In both pilots, participants lost significant weight (P=.005 and P=.03, respectively). In neither pilot was an effect on problem-solving skills observed (P=.62 and P=.27, respectively). Conclusions Problem-solving therapy for weight loss is feasible to implement in a mobile app environment; however, automated delivery may not impact problem-solving skills as has been observed previously via human delivery. Trial Registration ClinicalTrials.gov NCT02192905; https://clinicaltrials.gov/ct2/show/NCT02192905 (Archived by WebCite at http://www.webcitation.org/6zPQmvOF2)
Cross-layer Multiuser Session Control for Improved SDN Cloud Communications

The integration of Cloud Computing and Internet of Things (IoT) is foreseen as an enabler to suit a plethora of novel latency critical applications (e.g, e-health, intelligent transportation, safety, energy, smart cities, and many others). These applications require multimedia (mainly video) flows to be handled by the underlying network in an efficient and scalable way, as they expect to consume a massive data produced by billions of things. In view of this, we propose a dynamic multiuser session control plane which leverages 5G’s support of Software-Defined Networking (SDN) substrate to advance beyond todays limited, per-flow IP-based communication systems. We handle such limitations by proposing CLASSICO, a Cross-LAyer Sdn SessIon COntrol architecture that exploits SDN to offload the flow streaming computation operations from the IoT cloud platform to the network edge, affording high timeliness and scalability for the IoT-cloudified system. CLASSICO dynamically builds Application Layer multiuser data sessions and maps them into enhanced group-enabled data paths featuring SDN replication at branching nodes. We applied our solution to multimedia-alike use case, and results show that CLASSICO outperforms typical SDN-enabled IoT systems in terms to Quality of Service (QoS) and Quality of Experience (QoE) video metrics.
A Summer Obesity Prevention Program for Hispanic Kids and Families through Vacation Bible School: A Pilot Study

Objective: Building a Healthy Temple (BHT) Vacation Bible School (VBS) Program aimed to promote healthy lifestyle for children and their families through integration of spiritual and physical health. The purpose of this study was to test the effectiveness of BHT VBS on healthy behaviors. Methods: The BHT VBS is a week long, multipronged intervention including health-oriented scripture readings, hands-on healthy eating and physical activities as well as parental health education. Using Train-the-Trainer model, the program was implemented in three predominantly Hispanic churches in San Antonio, Texas in 2016. A pre- and post- one-group design was used to evaluate intervention effect through self-administered questionnaires at baseline and one -week post-intervention. Outcome measures included children’s awareness of faith-health connection, self-efficacy on healthy eating, food preference, eating patterns and physical activity (PA) level. Parental knowledge and attitude toward healthy living, as well as eating and PA patterns were measured. Paired t-test was performed to compare pre and post changes in intervention outcomes. Results: Among the 315 children and families took part in the BHT VBS, 114 children and 60 parents consented to data collection, Fifty-three children and 25 parents completing both baseline and endpoint questionnaires. Children significantly increased: awareness scores of the faith-health connection; self-efficacy scores on drinking water and eating whole grains; preference on fruits and whole grains; eating pattern scores for fruits and vegetables (FV), and whole grains; and consumption of fruits and water. Parents significantly increased nutrition knowledge scores, increased FV eating pattern scores and FV intake, and reduced sugary drink consumption. Both children and parents significantly increased weekly PA level and decreased daily screen time. Conclusion: Although brief, the BHT VBS resulted in favorable changes in awareness, attitude, preference, selfefficacy, eating and physical activity patterns toward a healthier lifestyle in both children and parents in Hispanic faith communities.
Determination of light direction using 3D analysis of known shapes in images

Images are the basic media of various information delivering units like our social media, news channel etc. However images are losing credibility because of the improvement in image altering software, so it is very easy for a forger to forge an image. It creates confusion for the receiver to believe on the image. So there is a need for the development of new techniques to catch forgery. Researchers are working to get a fool proof technique to detect forgery. There are various techniques to detect forgery. Here we will analyse the light direction. Every photograph may have a different incident light direction for which objects illuminate and are visible in the image. Analysing the light source direction exactly from a 2D image is quite abnormal in theory. Hence this work proposes a promising technique that utilises the shape information to detect the light direction in 3D vector of some known shapes.
Reconstructing the total shortening history of the NW Himalaya

The onset of India‐Asia contact can be dated with both biostratigraphic analysis of syn‐collisional sedimentary successions deposited on each side of the Indus Suture zone, and by radiometric dating of Indian crustal rocks which have undergone subduction to great depths in the earliest subduction‐collision stages. These data, together with paleomagnetic data, show that the initial contact of the Indian and Asian continental margins occurred at the Paleocene/Eocene boundary, corresponding to 55 ± 2 Ma. Such dating, which is consistent with all available geological evidence, including the record of magnetic anomalies in the Indian ocean and decrease of magmatic activity related to oceanic subduction can thus be considered as accurate and robust. The sedimentary record of the Tethys Himalaya rules out obduction of oceanic allochtons directly onto the Indian continental margin during the Late Cretaceous. The commonly inferred Late Cretaceous ophiolite obduction events may have thus occurred in intraoceanic setting close to the Asian margin before its final emplacement onto the India margin during the Eocene. Granitoid and sedimentary rocks of the Indian crust, deformed during Permo‐Carboniferous rifting, reached a depth of some 100 km about 1 Myr after the final closure of the Neo‐Tethys, and began to be exhumed between 50 and 45 Ma. At this stage, the foreland basin sediments from Pakistan to India show significant supply from volcanic arcs and ophiolites of the Indus Suture Zone, indicating the absence of significant relief along the proto‐Himalayan belt. Inversion of motion may have occurred within only 5 to 10 Myr after the collision onset, as soon as thicker and buoyant Indian crust chocked the subduction zone. The arrival of thick Indian crust within the convergent zone 50–45 Myr ago led to progressive stabilization of the India/Asia convergent rate and rapid stabilization of the Himalayan shortening rate of about 2 cm yr−1. This first period also corresponds to the onset of terrestrial detrital sedimentation within the Indus Suture zone and to the Barrovian metamorphism on the Indian side of the collision zone. Equilibrium of the Himalayan thrust belt in terms of amount of shortening versus amount of erosion and thermal stabilization less than 10 Myr after the initial India/Asia contact is defined as the collisional regime. In contrast, the first 5 to 10 Myr corresponds to the transition from oceanic subduction to continental collision, characterized by a marked decrease of the shortening rate, onset of aerial topography, and progressive heating of the convergent zone. This period is defined as the continental subduction phase, accommodating more than 30% of the total Himalayan shortening.
Study of Families in Child Welfare Do Social Networks Push Families Toward or Away From Youth Mental Health Services ? A National

Social support networks may encourage or dissuade help-seeking for youth behavior problems in ways that contribute to racial/ethnic disparities in mental health services. The authors examined how parental social network characteristics were related to the use of mental health services in a diverse sample of families in contact with Child Welfare. Data from 1,519 families of White (n = 812), African American (n = 418), and Latino (n = 289) origin were drawn from the National Survey of Child and Adolescent Well-Being. Data were collected prospectively after the initiation of a Child Welfare investigation for alleged maltreatment. Results revealed that parental perceptions of support were negatively associated with service use across racial/ethnic groups, and this association was explained by better subsequent mental health status enjoyed by children of parents with stronger social support. Moderator analyses suggested that larger social networks were associated with a decreased use of services among Whites and more highly educated families.
Analysis and prediction of breast cancer and diabetes disease datasets using data mining classification techniques

Data mining is a technique to extracts some meaningful information from large amount of data. Nowadays In healthcare sector data mining is come out important field from all the fields for providing accurate prediction of diseases and deeper study of medical data. Authors are using different data mining techniques to identification of various diseases such as stoke, diabetes, cancer, hypothyroid and heart disease etc. This paper discussed the literature study of various data mining techniques in section two. In this paper, we used two disease dataset breast cancer and diabetes dataset from the UCI machine learning repository. We classified the five classification algorithms on WEKA Explorer and WEKA Experimenter interface. WEKA tool is a good classification tool used in this paper. Naïve bayes, SMO, REP Tree, J48 and MLP algorithms are used to classify breast cancer and diabetes dataset on WEKA interface. The performances of these five algorithms have been analyzed on breast cancer and diabetes dataset using training data testing mode. After analyzing the performances of all algorithm, found that naïve bayes gives 72.70%accuracy on breast cancer dataset and SMO gives 76.80%accuracy on diabetes dataset.
Editors' Introduction: Abstract Concepts: Structure, Processing, and Modeling

Our ability to deal with abstract concepts is one of the most intriguing faculties of human cognition. Still, we know little about how such concepts are formed, processed, and represented in mind. For example, because abstract concepts do not designate referents that can be experienced through our body, the role of perceptual experiences in shaping their content remains controversial. Current theories suggest a variety of alternative explanations to the question of "how abstract concepts are represented in the human mind. " These views pinpoint specific streams of semantic information that would play a prominent role in shaping the content of abstract concepts, such as situation-based information (e.g., Barsalou & Wiemer-Hastings, ), affective information (Kousta, Vigliocco, Vinson, Andrews, & Del Campo, ), and linguistic information (Louwerse, ). Rarely, these theoretical views are directly compared. In this special issue, current views are presented in their most recent and advanced form, and directly compared and discussed in a debate, which is reported at the end of each article. As a result, new exciting questions and challenges arise. These questions and challenges, reported in this introductory article, can arguably pave the way to new empirical studies and theoretical developments on the nature of abstract concepts.
A Decentralized Multi-Agent Approach for Service Restoration in Uncertain Environment

This paper proposes a decentralized multiagent system (MAS) approach to solve the service restoration problem considering the uncertainty of load demand and renewable distributed generators (RDGs). Service restoration is formulated as a multi-objective optimization problem and solved by implementing controlled DG islanding using the proposed MAS approach. First, the uncertainty of load demand and RDG generation is forecast by generating scenarios using Monte Carlo simulations. Next, the expected nodes to be restored in an island are determined using a heuristic rule-based technique. Finally, the maximum likelihood of the expected island ranges to be restored are estimated using the maximum likelihood estimation method to assist the utility in decision making. Extensive case studies are conducted on 38 bus and 119 bus distribution system to show the efficacy of the proposed restoration strategy. The use of electric vehicles and battery energy storage as flexible sources of energy to alleviate the uncertainties in the system is also highlighted.
Identifying Malicious Traffic in Software-Defined Wireless Local Area Networks

In this paper we propose a novel approach to secure enterprise Wireless Local Area Networks (WLANs) by leveraging the Software-defined Networking (SDN) paradigm to identify potentially malicious frames and counteract with reactive and proactive defense strategies. We exploit information from the Physical (PHY) and Medium Access Control (MAC) layers offered by current wireless chipsets to effectively localize transmitting clients. The Access Point (AP) association table is enhanced with localization information to differentiate between regular and malicious frames and create a so-called “virtual perimeter” to prevent WLAN access for clients from outside of a defined area. Our evaluation shows that the proposed solution succeeds in identifying WLAN Denial-of-Service (DoS) attacks, such as IEEE 802.11 deauthentication.
Title Nucleotide sequence and genome organization of Dweet mottle virus and its relationship to members of the family Betaflexiviridae Permalink

The nucleotide sequence of Dweet mottle virus (DMV) was determined and compared to sequences of members of the families Alphaflexiviridae and Betaflexiviridae. The DMV genome has 8,747 nucleotides (nt) excluding the 30 poly-(A) tail. DMV genomic RNA contains three putative open reading frames (ORFs) and untranslated regions of 73 nt at the 50 and 541 nt at 30 termini. ORF1 potentially encoding a 227.48-kDa polyprotein, which has methyltransferase, oxygenase, endopeptidase, helicase, and RNA-dependent RNA polymerase (RdRP) domains. ORF2 encodes a movement protein of 40.25 kDa, while ORF3 encodes a coat protein of 40.69 kDa. Protein database searches showed 98–99% matches of DMV ORFs with citrus leaf blotch virus (CLBV) sequences. Phylogenetic analysis based on the RdRP core domain revealed that DMV is closely related to CLBV as a member of the genus Citrivirus. DMV did not satisfy the molecular criteria for demarcation of an independent species within the genus Citrivirus, family Betaflexiviridae, and hence, DMV can be considered a CLBV isolate.
Community-scale Residential Energy Demand Simulation For Smart-grid Application

This study reports the application of a stochastic simulation model that estimates community-scale residential electricity demand and photovoltaic (PV) generation to simulate the voltage of medium- and low-voltage distribution networks. This model enables the evaluation of the impact of PV diffusion and energy management technologies using, for example, battery and electric vehicles, on voltage management. This study shows a case study in which the developed model was applied to a community consisting of 732 households to estimate the network voltage and power generation loss that occurs when the voltage exceeds the legal limit. This study also discusses challenges in modeling the high-temporal-resolution energy demand of residential buildings.
Oral verruciform xanthoma: Report of 13 new cases and review of the literature

Background Oral verruciform xanthoma (OVX) is a rare lesion. The purpose of the present study is to describe the clinical features of 13 OVXs and review all cases reported in the English literature. Material and Methods Thirteen cases of OVX diagnosed during a 47-year period were retrospectively collected. The patients’ gender and age, as well as the main clinical features of the lesions were retrieved from the biopsy request forms. Pubmed®, Scopus® and Google ScholarTM electronic databases were searched with the key word “verruciform xanthoma”. Only cases of histologically confirmed OVX were included in the study. Results The 13 OVXs represented approximately 0.04% of 35,617 biopsies accessioned during the study period. They affected 13 patients, 8 males and 5 females with a mean age of 48.8±14 years. They mainly appeared as asymptomatic granular nodules or plaques, with elastic or normal consistency and white color, in the gingiva or hard palate. Literature review yielded 416 cases of OVX. With the addition of cases of the present study, 429 cases of OVX have been presented in the English literature. OVX has a slight male predominance with a male to female ratio of 1.4:1 and the majority of patients are in the 5th to 7th decade of life. Clinically, OVX mainly presents as an asymptomatic, single, papillary or granular plaque or nodule, with elastic or soft consistency and white, red or pink color. It measures approximately 1cm and is most commonly located on the gingiva, tongue, hard palate or buccal mucosa. The treatment of choice is surgical excision with little rates of recurrence. Conclusions Verruciform xanthoma is a rare lesion most often encountered on the ginigival mucosa. As its clinical presentation is not pathognomonic, it should be included in the differential diagnosis of verrucous or papillary lesions. Key words:Oral verruciform xanthoma, oral tumors.