Miracle-dz/UniFAR-FTUs huggingface dataset:
Self Morality Cultivation (SMC) through Hydrotherapy with Thaharah Meditation for Rehabilitate Adolescent Drug Addicts

Background: Adolescence is the time of transition from childhood into adulthood and perhaps most complex stages, a time when young people take on new responsibilities and experiment with independence. Adolescence period is very valuable and expected to provide great expectations, not only in success for their own selves, but also for their own nation. However, nowadays many cases of drug abuse in adolescents as a student alarming the world, including Indonesia. And according to the data from BNN Indonesia 2014 reported that 27.32% drug addict comes from among adolescents (students). The data from Portal Indonesia also described that 104.000 students have become drug addicts. Thus, this paper will provide a way as an effort drug abuse both curative and preventive. Methods: This paper uses qualitative descriptive approach based on literature studies and trials directly to the subject which is teenage drug addicts. Then, the paper is structured with stages include assessing the problem, finding and selecting sources of literature related to the discussion, analyzing the sources of literature to answer a problem, examining the feasibility of involving adolescent drug addicts, explicating conclusion, and making recommendation. Result: This paper describes the concept and application of SMC (Self Morality Cultivation) which is a new recommended way to rehabilitate adolescence drug addicts through meditation thaharah hydrotherapy with both curative and preventive. The meditation's medium that is used for the hydrotherapy with thaharah is water. Water is a compound that is flexible and can be negative or positive. Hence, hydrotherapy can be used as a physical and psychological healing. Thaharah derived from Arabic words which means sacred or common related to water hygiene. Thus, the water used is purified water, clean and temperature of 46°C. In the SMC, the schedule and the way to use water in this therapy has also been set up for adolescence drug addicts has been declared effective and improve the positive moral for the adolescence.
Deep sparse coding network for image classification

In this paper, we introduce a novel deep model called Deep Sparse Coding Network (DeepSCNet) for Image classification. This new model includes four types of layers: the Sparse-coding layer, the Pooling layer, the Normalization layer and the Map reduction layer. The Sparse-coding laying does the general linear coding work for local patch within the receptive field. The Pooling layer and the Normalization layer do the same work as that in CNN. The Map reduction layer reduces the CPU and memory consumptions by reducing the number of feature maps. The paper further discusses the multi-scale, multi-locality extension to the basic DeepSCNet. Compared to CNN, training DeepSCNet is relatively easier even with a training set of moderate size. Experiments show that DeepSCNet can automatically discover highly discriminative feature directly from raw image pixels.
Suppression of Adenosine-Activated Chloride Transport by Ethanol in Airway Epithelia

Alcohol abuse is associated with increased lung infections. Molecular understanding of the underlying mechanisms is not complete. Airway epithelial ion transport regulates the homeostasis of airway surface liquid, essential for airway mucosal immunity and lung host defense. Here, air-liquid interface cultures of Calu-3 epithelial cells were basolaterally exposed to physiologically relevant concentrations of ethanol (0, 25, 50 and 100 mM) for 24 hours and adenosine-stimulated ion transport was measured by Ussing chamber. The ethanol exposure reduced the epithelial short-circuit currents (ISC) in a dose-dependent manner. The ion currents activated by adenosine were chloride conductance mediated by cystic fibrosis transmembrane conductance regulator (CFTR), a cAMP-activated chloride channel. Alloxazine, a specific inhibitor for A2B adenosine receptor (A2BAR), largely abolished the adenosine-stimulated chloride transport, suggesting that A2BAR is a major receptor responsible for regulating the chloride transport of the cells. Ethanol significantly reduced intracellular cAMP production upon adenosine stimulation. Moreover, ethanol-suppression of the chloride secretion was able to be restored by cAMP analogs or by inhibitors to block cAMP degradation. These results imply that ethanol exposure dysregulates CFTR-mediated chloride transport in airways by suppression of adenosine-A2BAR-cAMP signaling pathway, which might contribute to alcohol-associated lung infections.
Images of weakness and the fall of Rome – an analysis of reputation management’s impact on political history

Abstract It will be argued that PR may constitute an interpretative tool when exploring the causes of and reasons for what Peter Heather calls the most dramatic event in ancient history: the decline and ultimate collapse of the Western Roman Empire in 476. The appearance of the Goths at the Danubian border leading to the devastating defeat of the imperial army at Adrianople in 378 was the most visible incident in a chain of events that within a century led to the forced abdication of the last West Roman emperor Romulus Augustulus in 476. This article does not give a detailed and chronological account of events that have been related by historians of antiquity. Instead, it presents the concept of reputation and critiques both its political significance and its potential to offer an alternative answer to the question of why Rome fell.
Unexpected Corporate Outcomes from Hedge Fund Activism in Japan

Hedge fund activism has been identified in the USA as a driver of enduring corporate governance change and market perception. We investigate this claim in an empirical study to see whether activism produced similar results in Japan in four representative areas: management effectiveness, managerial decisions, labour management, and market perception. Experience from the USA would predict positive changes at Japanese target companies in these four areas. However, analysis of financial data shows that no enduring changes were apparent in the first three areas, and that market perception was consistently unfavourable. Our findings demonstrate that the same pressures need not produce the same results in different markets. Moreover, while the effects of the global financial crisis should not be ignored, we conclude that the country-level differences in corporate governance identified in the varieties of capitalism literature are robust, at least in the short term.
Image forgery detection through motion blur estimates

Images can be easily manipulated for malicious purposes due to broad availability of photo exploitation software. One such form of tampering is image splicing. To detect splicing in images by searching discrepancies in motion blur is one type of method for forgery detection. The motion blur estimation is using image gradients to detect inconsistencies between the spliced region and the rest of the image. The gradient based PBM method gives better results for a wide range of magnitude values as compared to Cepstral method. A Blur Estimate Measure (BEM) is used to aid in inconsistent region segmentation in images that contain small amounts of motion blur and a no-reference Perceptual Blur Metric (PBM) has been used to detect directional motion blurs in images. Based on these measures the regions of the images are identified with consistent and inconsistent blurs. The effect of motion blur inconsistencies and region separation is achieved using K-means clustering algorithm.
Adverse Impact of Bleeding on Prognosis in Patients With Acute Coronary Syndromes

Background— The use of multiple antithrombotic drugs and aggressive invasive strategies has increased the risk of major bleeding in acute coronary syndrome (ACS) patients. It is not known to what extent bleeding determines clinical outcome. Methods and Results— Using Cox proportional-hazards modeling, we examined the association between bleeding and death or ischemic events in 34 146 patients with ACS enrolled in the Organization to Assess Ischemic Syndromes and the Clopidogrel in Unstable Angina to Prevent Recurrent Events studies. Patients with major bleeding were older, more often had diabetes or a history of stroke, had a lower blood pressure and higher serum creatinine, more often had ST-segment changes on the presenting ECG, and had a 5-fold-higher incidence of death during the first 30 days (12.8% versus 2.5%; P<0.0001) and a 1.5-fold-higher incidence of death between 30 days and 6 months (4.6% versus 2.9%; P=0.002). Major bleeding was independently associated with an increased hazard of death during the first 30 days (hazard ratio, 5.37; 95% CI, 3.97 to 7.26; P<0.0001), but the hazard was much weaker after 30 days (hazard ratio, 1.54; 95% CI, 1.01 to 2.36; P=0.047). The association was consistent across subgroups according to cointerventions during hospitalization, and there was an increasing risk of death with increasing severity of bleeding (minor less than major less than life-threatening; P for trend=0.0009). A similar association was evident between major bleeding and ischemic events, including myocardial infarction and stroke. Conclusions— In ACS patients without persistent ST-segment elevation, there is a strong, consistent, temporal, and dose-related association between bleeding and death. These data should lead to greater awareness of the prognostic importance of bleeding in ACS and should prompt evaluation of strategies to reduce bleeding and thereby improve clinical outcomes.
Games and Brain-Computer Interfaces: The State of the Art

BCI gaming is a very young field; most games are proof-of-concepts. Work that compares BCIs in a game environments with traditional BCIs indicates no negative effects, or even a positive effect of the rich visual environments on the performance. The low transfer-rate of current games poses a problem for control of a game. This is often solved by changing the goal of the game. Multi-modal input with BCI forms an promising solution, as does assigning more meaningful functionality to BCI control.
Growing Protean Graphs

The web may be viewed as a graph each of whose vertices corresponds to a static HTML web page and each of whose edges corresponds to a hyperlink from one web page to another. Recently, there has been considerable interest in using random graphs to model complex real-world networks to gain an insight into their properties. In this paper we propose an extended version of a new random model of the web graph in which the degree of a vertex depends on its age. We use the differential equation method to obtain basic results on the probability of edges being present. From this we are able to characterize the degree sequence of the model and study its behaviour near the connectivity threshold.
Generating Trace-Sets for Model-based Testing

Model-checkers are powerful tools that can find individual traces through models to satisfy desired properties. These traces provide solutions to a number of problems. Instead of individual traces, software testing needs sets of traces that satisfy coverage criteria. Finding a trace set in a large model is difficult because model checkers generate single traces and use a lot of memory. Space and time requirements of modelchecking algorithms grow exponentially with respect to the number of variables and parallel automata of the model being analyzed. We present a method that generates a set of traces by iteratively invoking a model checker. The method mitigates the memory consumption problem by dynamically building partitions along the traces. This method was applied to a testability case study, and it generated the complete trace set, while ordinary model-checking could only generate 26%.
Towards Multi-criteria Cloud Service Selection

Cloud computing despite being in an early stage of adoption is becoming a popular choice for businesses to replace in-house IT infrastructure due to its technological advantages such as elastic computing and cost benefits resulting from pay-as-you-go pricing and economy of scale. These factors have led to a rapid increase in both the number of cloud vendors and services on offer. Given that cloud services could be characterized using multiple criteria (cost, pricing policy, performance etc.) it is important to have a methodology for selecting cloud services based on multiple criteria. Additionally, the end user requirements might map to different criteria of the cloud services. This diversity in services and the number of available options have complicated the process of service and vendor selection for prospective cloud users and there is a need for a comprehensive methodology for cloud service selection. The existing research literature in cloud service selection is mostly concerned with comparison between similar services based on cost or performance benchmarks. In this paper we discuss and formalize the issue of cloud service selection in general and propose a multi-criteria cloud service selection methodology.
IAM: an inferential abstract modeling approach to design of conceptual schema

A method for designing a conceptual schema (information model) for a data base is presented. The basic notion is that a conceptual schema is designed by collecting and integrating 'local' user information requirements and analysis of information inference relationships. The procedure consists of the following phases: 1) collection and specification of information requirements, 2) entity classification, 3) specification of functional dependencies, 4) abstract object specification, integration and analysis, 5) implied information analysis, 6) derivability (precedence) analysis and 7) transformation to an 'external-named-based' model. The phases are performed iteratively in a controlled fashion. Underlying theoretical concepts are defined and arguments presented for the method's practical applicability.
Expression of NKCC2 in the rat gastrointestinal tract

Abstract NKCC2, an isoform of Na+–K+–2Cl− cotransporter, is principally present in the kidney and plays a critical role in salt reabsorption. Expression of NKCC2 has been found in the apical membrane of intestinal epithelial cells in a number of marine fish, however, details for expression in the mammalian gastrointestinal tract are lacking. RT‐PCR, Western blotting and immunohistochemistry were used to study the expression and localization of NKCC2 in the rat gastrointestinal tract. We found that mRNA transcripts, protein and immunoreactivity (IR) for NKCC2 were expressed in the stomach, small and large intestine of adult rats. NKCC2 IR was localized to the base of the gastric glands, intestinal epithelia, myenteric and submucosal plexuses. NKCC2 IR was expressed strongly in the apical membranes and weakly in the basolateral membranes of intestinal epithelial cells. In the enteric nervous system, NKCC2 IR was widely distributed and localized to enteric neurons with cholinergic, calretinin and nitrergic neuronal immunochemical codes in the myenteric plexus. It was localized to non‐cholinergic secretomotor neurons in the submucosal plexus. In conclusion, this study for the first time clearly detected the expression of NKCC2 in the gastrointestinal tract of a mammalian species. Expression of NKCC2 in gastrointestinal epithelial cells suggested that this cation chloride cotransporter might be involved in gastrointestinal ion transport. Expression of NKCC2 in enteric neurons might contribute to the accumulation of Cl− and a more depolarized ECl− in enteric neurons.
[Rheumatoid arthritis of the wrist. Dynamic Gd-DTPA enhanced MRT].

21 patients with rheumatoid arthritis of the wrist diagnosed according to the criteria of the American Rheumatism Association were examined by dynamic MRT before and after the i.v. injection of Gd-DTPA (0.1 mmol/kg). The results were correlated with the clinical and radiological findings. The increased signal intensity of the pannus was 1.17 +/- 0.45%/sec and this differed significantly (p < 0.001) from bone marrow (0.16 +/- 0.11%/sec) and from muscle (0.25 +/- 0.16%/sec). Blood sedimentation rate correlated with the gradient of synovial proliferation (p < 0.05). There were no further statistically significant correlations between the clinical, radiological and MRT findings and the change in signal intensity from synovial proliferation as shown by dynamic MRT.
Frontal face detection for surveillance purposes using dual Local Binary Patterns features

Face detection in video sequence is becoming popular in surveillance applications, but the usage of large number of features and the long training time are persistent problems. This paper integrates two types of Local Binary Patterns (LBP) features in order to achieve a high detection rate with a high discriminative power face detector. First LBP feature is a novel way of using the Circular LBP, in which the pixels of the image are targeted; it is a non-computationally expensive feature extraction. The second LBP feature is the LBP Histogram, in which regions in the image are targeted; it is more computationally expensive than Circular LBP features but has higher discriminative power. The proposed detector is examined on real-life low-resolution surveillance sequence. Conducted experiments show that the proposed detector achieves 98% detection rate in comparison to 91% for the Lienhart detector. The proposed detector tolerates wide range of illumination changes.
Analysis of Stopping Active Learning based on Stabilizing Predictions

Within the natural language processing (NLP) community, active learning has been widely investigated and applied in order to alleviate the annotation bottleneck faced by developers of new NLP systems and technologies. This paper presents the first theoretical analysis of stopping active learning based on stabilizing predictions (SP). The analysis has revealed three elements that are central to the success of the SP method: (1) bounds on Cohen’s Kappa agreement between successively trained models impose bounds on differences in F-measure performance of the models; (2) since the stop set does not have to be labeled, it can be made large in practice, helping to guarantee that the results transfer to previously unseen streams of examples at test/application time; and (3) good (low variance) sample estimates of Kappa between successive models can be obtained. Proofs of relationships between the level of Kappa agreement and the difference in performance between consecutive models are presented. Specifically, if the Kappa agreement between two models exceeds a threshold T (where T > 0), then the difference in F-measure performance between those models is bounded
TCP-R: TCP mobility support for continuous operation

The TCP-R (TCP Redirection) is an extension of TCP, which maintains active TCP connections when the disconnection occurs due to the change of the IP address or the change of the network device. In mobile computing environments, the IP address may be changed frequently as the host moves across subnets or changes a network device. However, it is difficult for most network applications to work continuously in such a situation. There is much research to support such dynamics in the network layer, but these attempts in the IP layer tend to incur some complexity. This paper is intended as an investigation of the end-to-end mobility support in transport layer. We developed the simple and secure redirection mechanism in TCP, which enables us to keep our working activities without any intermediate agents. We also show that TCP-R can serve as a solution to the retransmission timeout problem which frequently occurs in mobile environments. We implemented and evaluated a prototype of TCP-R by modifying FreeBSD. The measured performance indicates that TCP-R can maintain operation continuously with minimal overhead and complexity.
Normocyte-binding protein required for human erythrocyte invasion by the zoonotic malaria parasite Plasmodium knowlesi

Significance Plasmodium knowlesi is a parasite that naturally infects cynomolgus monkeys but is also a major cause of severe zoonotic malaria in humans in South East Asia. Comparing the genomes of parasites restricted to growth in culture with cynomolgus RBCs and those adapted to growth in human RBCs identified a gene specifically required for invasion of human RBCs, a process that is critical for parasite replication. This gene encodes normocyte-binding protein Xa, a protein previously shown to bind human RBCs and implicated in invasion. Disruption of this gene blocks invasion of human but not cynomolgus RBCs, thus confirming a key mediator of human infection and a potential target for inclusion in vaccines to prevent human infection. The dominant cause of malaria in Malaysia is now Plasmodium knowlesi, a zoonotic parasite of cynomolgus macaque monkeys found throughout South East Asia. Comparative genomic analysis of parasites adapted to in vitro growth in either cynomolgus or human RBCs identified a genomic deletion that includes the gene encoding normocyte-binding protein Xa (NBPXa) in parasites growing in cynomolgus RBCs but not in human RBCs. Experimental deletion of the NBPXa gene in parasites adapted to growth in human RBCs (which retain the ability to grow in cynomolgus RBCs) restricted them to cynomolgus RBCs, demonstrating that this gene is selectively required for parasite multiplication and growth in human RBCs. NBPXa-null parasites could bind to human RBCs, but invasion of these cells was severely impaired. Therefore, NBPXa is identified as a key mediator of P. knowlesi human infection and may be a target for vaccine development against this emerging pathogen.
Designing algorithm-oriented generic library on .NET framework

In this paper, we describe the use of generic programming approach to design and implementation of a collection of basic model-checking algorithms on the . NET framework. The mentioned methodology separates algorithms and data structures similarly to Standard Template Library that allows delivering general and efficient algorithms. As the implementation environment does not enable us to exploit the advantages of static polymorphism provided by the C++ template parameterization we needed to adjust the approach for the use with the generics feature, which is the novel mechanism introduced with the second version of the . NET framework
Educated In Agency: A Feminist Service-Learning Pedagogy for Community Border Crossings

Service-learning is an experiential form of education that moves students outside of the walls of academe to meet community-identified needs through the application and renegotiation of a set of theoretical and methodological skills. It is simultaneously a teaching strategy, an epistemological framework, and an educational reform movement. This research takes the form of multi-methodological case studies of service-learning classrooms and service-learning partnerships, examining the translation of feminist pedagogy to the service-learning experience. The voices of students, faculty, pioneers, administrators, and community partners articulate the common and uncommon struggles of teaching a new generation of students to learn and serve in agencies while simultaneously recognizing their own capacity for agency. This work provides evidence that applying feminist pedagogical principles to service-learning initiatives creates more meaningful transformations for our students, faculty, and communities. The interdependent Feminist Service-Learning Process posited here is an innovative framework for moving our students across the civic borders necessary for community engagement.