Miracle-dz/UniFAR-FTUs huggingface dataset:
THE EFFECT OF RECIPROCAL TEACHING STRATEGY ON READING COMPREHENSION OF THE GRADE EIGHT STUDENTS OF SMP MUHAMMADIYAH 1 KALIBAWANG

The objective of this research is to find out whether there is a significant difference on the reading comprehension ability between the students who are taught using reciprocal teaching strategy and those who are taught by using nonreciprocal teaching strategy. The design of this study was a quasi-experimental study. The study was conducted in SMP Muhammadiyah 1 Kalibawang. The population of the study included all the eighth grade students of SMP Muhammadiyah 1 Kalibawang in the academic year of 2012/2013. Two classes were selected using the cluster random sampling technique from the population as the experimental and control groups, i.e. Class VIII B and Class VIII A. There were 19 students in Class VIII B and 17 students in Class VIII A. Class B was chosen as the experimental group while Class A was chosen as the control group. The experimental group was taught by using reciprocal teaching strategy whereas the control group was taught by using non-reciprocal teaching strategy. The data were collected by administering a pre-test and a post-test. The data were analyzed using ANOVA. The results of the data analysis are as follows. First, the mean score of the post-test in the experimental group (21.84) is higher than that in the control group (17.71). Second, there is a significant difference in the reading comprehension ability between both groups indicated by the ANCOVA results, in which the significance level is 0.036 which is less than 0.05 (F= 4,592, p ˂ 0.05). Therefore, the hypothesis of this research “There is a significant difference in the reading comprehension ability between the eighth grade students of SMP Muhammadiyah 1 Kalibawang in the academic year of 2012/2013 taught using reciprocal teaching strategy and those taught without using reciprocal teaching strategy” is accepted. Finally, it can be concluded that reciprocal teaching strategy applied in teaching reading is effective for improving the students’ reading comprehension ability.
EVALUATION OF TREATMENTS FOR CORONARY ARTERY DISEASE UTILIZING CONTEMPORARY STATISTICAL METHODS

Cardiovascular disease is the leading cause of mortality worldwide, and approximately half of all cardiovascular deaths are attributed specifically to coronary artery disease (CAD). Coronary artery bypass grafting (CABG) and percutaneous coronary intervention (PCI) procedures play a prominent role in managing the heavy burden of CAD. The purpose of this dissertation was to evaluate revascularization treatment in patients with multivessel coronary disease. Specifically, predictors of long-term prognosis and factors related to selection of revascularization strategy were investigated in the BARI and BARI 2D cohorts, respectively.In BARI, treatment with CABG was associated with a significantly lower risk of sudden cardiac death, but did not impact any other causes of mortality. Moreover, protection conferred by CABG was observed in patients regardless of diabetes status. Following successful initial PCI in BARI, male gender, proximal LAD disease, and incomplete revascularization were associated with an increased risk of a first subsequent revascularization event but not latter events. Diabetes and extensive CAD, on the other hand, demonstrated an incremental impact on the number of repeat procedures over 10 years of follow-up.Among patients with diabetes and stable CAD in BARI 2D, angiographic features associated with the extent and location of coronary disease greatly influenced the decision to perform CABG over PCI. Geographic region, independent of patient characteristics, was also a driving factor in treatment selection, with a greater propensity to recommend PCI in the US. In all countries of origin, we observed substantial variation across individual clinical sites in this decision-making process. Results in the BARI cohort may have clinical implications on guiding initial revascularization strategy and underscore the importance of intensive management of atherosclerotic risk factors in order to limit disease progression. Our investigation of BARI 2D demonstrate the need for rigorous evaluation of optimal CAD treatment approaches in diabetic patients and factors that guide this decision-making process in current practice. Overall, these findings may be useful for devising long-term treatment strategies that address the chronic, progressive, and systemic nature of coronary disease, which will be of great public health importance as medical advances continue to extend the lives of individuals with CAD.
Neuroprotection in Glaucoma

kinase phosphorylation is critical for necrosis induction. In response to TNF-α, RIP1 binds to NADPH oxidase 1 and produces superoxide. Activated RIP3 binds to PYGL, GLUL and GLUD1 and increases the production of mitochondrial ROS. ROS overproduction leads to mitochondrial dysfunction, resulting in the release of mitochondrial pro-death pro‐ teins. Activation of the necrosome has been shown to interact with mixed lineage kinase domain-like (MLKL) and phosphoglycerate mutase 5 (PGAM5) resulting in the fusion of mitochondria and necrotic cell death
Properties of the anisotropy of dose contributions: A planning study on prostate cases

Purpose To characterize the static properties of the anisotropy of dose contributions for different treatment techniques on real patient data (prostate cases). From this, we aim to define a class of treatment techniques with invariant anisotropy distribution carrying information of target coverage and organ‐at‐risk (OAR) sparing. The anisotropy presumably is a helpful quantity for plan adaptation problems. Methods The anisotropy field is analyzed for different intensity modulated radiotherapy (IMRT) and volumetric modulated arc therapy (VMAT) techniques for a total of ten planning CTs of prostate cases. Primary irradiation directions ranged from 5 to 15. The uniqueness of anisotropy was explored: In particular, the anisotropy distribution inside the planning treatment volume (PTV) and in its vicinity was investigated. Furthermore, deviations of the anisotropy under beam rotations were explored by direct plan comparison as an indicating the susceptibility of each planned technique to changes in the geometric plan configuration. In addition, plan comparisons enabled the categorization of treatment techniques in terms of their anisotropy distribution. Results The anisotropy profile inside the PTV and in the transition between OAR and PTV is independent of the treatment technique as long as a sufficient number of beams contribute to the dose distribution. Techniques with multiple beams constitute a class of almost identical and technique‐independent anisotropy distribution. For this class of techniques, substructures of the anisotropy are particularly pronounced in the PTV, thus offering good options for applying adaptation rules. Additionally, the techniques forming the mentioned class fortunately allow a better OAR sparing at constant PTV coverage. Besides the characterization of the distribution, a pairwise plan comparison reveals each technique's susceptibility to deviations which decreases for an increasing number of primary irradiation directions. Conclusions Techniques using many irradiation directions form a class of almost identical anisotropy distributions which are assumed to provide a basis for improved adaptation procedures. Encouragingly, these techniques deliver quite invariant anisotropy distributions with respect to rotations correlated with good plan qualities than techniques using few gantry angles. The following will be the next steps toward anisotropy‐based adaptation: first, the quantification of anisotropy regarding organ deformations; and second, establishing the interrelation between the anisotropy and beam shaping.
Sign Language technologies and resources of the Dicta-Sign project

Here we present the outcomes of Dicta-Sign FP7-ICT project. Dicta-Sign researched ways to enable communication between Deaf individuals through the development of human-computer interfaces (HCI) for Deaf users, by means of Sign Language. It has researched and developed recognition and synthesis engines for sign languages (SLs) that have brought sign recognition and generation technologies significantly closer to authentic signing. In this context, Dicta-Sign has developed several technologies demonstrated via a sign language aware Web 2.0, combining work from the fields of sign language recognition, sign language animation via avatars and sign language resources and language models development, with the goal of allowing Deaf users to make, edit, and review avatar-based sign language contributions online, similar to the way people nowadays make text-based contributions on the Web.
An experimental examination of object-directed ritualized action in children across two cultures

Ritualized actions are common in daily life, and prevalent across cultures. Adults have been shown, under experimental conditions, to treat objects subjected to ritualized action as special and different relative to objects subjected to non-ritualized action. Similarly, children as young as 4, are sensitive to ritualized actions–frequently reproducing such actions at high fidelity. The current cross-cultural experiment attempts to extend existing findings among two culturally distinct groups of children with regard to object-directed rituals. We predicted that children’s preference for a reward would be influenced by ritualized action (but not non-ritualized action). Over two trials we presented children in Australia (N = 93; mean age = 6.03 years, SD = 2.07 years) and Vanuatu (N = 109; mean age = 6.13 years, SD = 1.96 years) with two identical rewards, which was either subjected to ritualized action or non-ritualized action. Contrary to previous findings among adults, ritualized action did not influence children’s preference for a reward. We frame the current results in the context of socially relevant group rituals, and discuss the implications for both wider theory and methods. We conclude with a call for pre-registered replications.
Protocolo de isolamento de células mononucleares de medula óssea de equinos

In adults, the stem cells are found at the bone marrow and their isolation could be accessed by aspiration technique. This experiment aimed to evaluate the bone marrow aspiration technique and define a protocol for isolation of equine mononuclear cells. Twelve horses were submitted to bone marrow aspiration. After isolation of mononuclear cells by density gradient, the cell viability was determined obtaining a media of 86.9% of viable cells. According to the more knowledge obtained, the stem cell harvest experiment and clinical approach can be implemented in this specie.
Accelerating Dense Linear Algebra for GPUs, Multicores and Hybrid Architectures: an Autotuned and Algorithmic Approach

Dense linear algebra(DLA) is one of the most important softwares in high performance computing. It is also important for it’s wide usage in other application domains like machine learning, gaming, speech processing, image processing, etc. The introduction of new machines from vendor provides us opportunities to optimize DLA libraries for the new machines and thus exploit their power. Unfortunately the optimization phase is not straightforward all the time. The most important part of DLA libraries are it’s basic linear algebra subprograms(BLAS) kernels. The optimum code of a certain BLAS kernel in two different machines with different semiconductor process can be different even if they share the same features in terms of instruction set architecture, memory hierarchy and clock speed. It has become an tradition to optimize BLAS for upcoming machines. Vendors like Intel, AMD and IBM maintain highly optimized BLAS libraries targeting their own CPUs. In the GPU sector, NVIDIA is also providing CUBLAS for it’s accelerator cards like GTX280, Tesla2050. There has been few research in academia to optimize BLAS for GPUs. But the area is still new and presents numerous cases/opportunities for improvements. The existing BLAS for GPUs are not highly optimized for DLA algorithms. For example, vendors don’t have highly optimized BLAS for rectangular shaped problem size. Level 2 BLAS e.g. symmetric matrix matrix multiplication, which are very important for memory bound operations like tridiagonalization, performs poorly. In certain GPUs like GTX280 BLAS kernels have performance dips due to partition camping phenomenon in global memory modules. More importantly the existing BLASs are not optimized for generic
Deep-sea anthropogenic macrodebris harbours rich and diverse communities of bacteria and archaea

The deep sea is the largest biome on earth, and microbes dominate in biomass and abundance. Anthropogenic litter is now almost ubiquitous in this biome, and its deposition creates new habitats and environments, including for microbial assemblages. With the ever increasing accumulation of this debris, it is timely to identify and describe the bacterial and archaeal communities that are able to form biofilms on macrodebris in the deep sea. Using 16S rRNA gene high throughput sequencing, we show for the first time the composition of bacteria and archaea on macrodebris collected from the deep sea. Our data suggest differences in the microbial assemblage composition across litter of different materials including metal, rubber, glass, fabric and plastic. These results imply that anthropogenic macrodebris provide diverse habitats for bacterial and archaeal biofilms and each may harbour distinct microbial communities.
The Tendency of Having MSH2 and MSH6 Microsatellite Instability among Clinicopathological Features in Patients with Colorectal Cancer

Objective: This study aimed to identify micro-satellite instability (MSI) based on the expression of MMRp (MSH2 and MSH6) and to evaluate the association of MSI and with clinicopathological features in patients with colorectal cancer (CRC). Methods: MMRp expression in 80 tissue samples from patients with adenocarcinoma CRC were evaluated by using anti-MSH2 and -MSH6 antibodies. Loss of MSH2 and/or MSH6 expression was stated as MSI. The association between MSI status and clinicopathological features were analyzed by using binary logistic regression (p<0.05). Results: The frequency of MSI in patients with CRC varied, corresponding to 8.3% (6/72) MSH2 MSI, 36.1% (26/72) MSH6 MSI and 6.9% (5/72) MSH2-MSH6 MSI. Male patients (OR=1.98), with tumor located in colon (OR=1.47) and late stage tumor (OR=1.48) have a tendency of having MSH2 MSI. Male patients (OR=1.4), with tumor located in colon (OR=2.53) and poor tumor differentiation (OR=3.02) have a tendency to encounter MSH6 MSI. Male patients (OR=4.93) with late stage tumor (OR=1.69) have a tendency of having MSH2-MSH6 MSI. Conclusion: Patients more likely to have MSH2 MSI are males, and/or having tumor located in colon, and /or having late stage tumor. Patients more likely to have MSH6 MSI are males, and/or having tumor located in colon, and/or having tumor with poor differentiation. Patients who have greater tendency to have MSH2 and MSH6 MSI are males, and/or having late stage tumor.
DeepFocus

Addressing vergence-accommodation conflict in head-mounted displays (HMDs) requires resolving two interrelated problems. First, the hardware must support viewing sharp imagery over the full accommodation range of the user. Second, HMDs should accurately reproduce retinal defocus blur to correctly drive accommodation. A multitude of accommodation-supporting HMDs have been proposed, with three architectures receiving particular attention: varifocal, multifocal, and light field displays. These designs all extend depth of focus, but rely on computationally expensive rendering and optimization algorithms to reproduce accurate defocus blur (often limiting content complexity and interactive applications). To date, no unified framework has been proposed to support driving these emerging HMDs using commodity content. In this paper, we introduce DeepFocus, a generic, end-to-end convolutional neural network designed to efficiently solve the full range of computational tasks for accommodation-supporting HMDs. This network is demonstrated to accurately synthesize defocus blur, focal stacks, multilayer decompositions, and multiview imagery using only commonly available RGB-D images, enabling real-time, near-correct depictions of retinal blur with a broad set of accommodation-supporting HMDs.
Topology vs Position based Routing Protocols in Mobile Ad hoc Networks: A Survey

Mobile Ad hoc networks perform multi-hop communication in an environment without a dedicated fixed infrastructure, with mobile nodes and changing network topology. In the last 15 years, the wireless networking community designed hundreds of new routing protocols targeting the various scenarios of this design space. The objective of this paper is to create taxonomy of the mobile ad hoc routing protocols, and to survey and compare representative examples for the topology based and position based routing protocols. Keywords-topology based routing protocols;position based routing protocols;Mobile ad hoc Networks; styling; insert (key words)
Clinical Neuropsychology: A Pocket Handbook for Assessment

"Clinical Neuropsychology: A Pocket Handbook for Assessment, Second Edition" is a practical reference source for neuropsychologists, interns, and trainees working in hospitals. With over 100 quick-reference tables, lists, diagrams, photos, and decision trees, this book offers guidance through the complicated decision-making processes of assessment, diagnosis, and treatment. Because neuopsychologists now consult in many different health care settings - including emergency rooms, oncology departments, infectious disease programs, cardiology, neurology, neurosurgery, and psychiatry - having a guide that covers such a broad array of illnesses is absolutely critical. This new edition builds on the success of the best-selling first edition by providing cutting-edge information on how to use and interpret neuroimaging technologies and how to integrate pharmacological approaches into treatment. A new chapter has been included to introduce the busy clinician to the range of established and novel neuroimaging technologies that have seen tremendous technological improvements over the past seven years. In addition, chapters were revised with the intent of adding more specific information related to the neurochemical bases for various disorders, and when appropriate, more information on currently accepted pharmacologic treatment approaches. The reader will also find other new additions, including chapters on neuro-oncology, schizophrenia, late-life depression, and adult ADHD.
Level‐Independent Quasi‐Birth‐and‐Death Processes

The definition and basic properties of quasi-birth-and-death processes are presented, both in continuous and discrete time. The main resolution algorithms are given, and various extensions are discussed. Keywords: stochastic processes; Markov processes; computational probability; matrix-analytic methods; QBD processes
Staged inset of free flaps for complex microsurgical head and neck reconstruction to ensure total flap survival

Microsurgical reconstruction of complex head and neck defects often requires reliable tissue in multiple spatial configurations to achieve good functional and aesthetic outcomes. In addition to robust perforators, flap inset and wound closure require great caution to minimize complications especially in the presence of trismus with limited space for inset. This report describes the technique and results of our staged approach to flap inset which increases the chance of total flap survival in complex head and neck reconstructions.
Domination of Constrained Application Protocol: A Requirement Approach for Optimization of Internet of Things in Wireless Sensor Networks

The protocols related to the Internet of Things (IoT) have proven to undergo changes in the Wireless Sensor Network (WSN), to increase the compatibility of WSN with the industrial and automation applications. In this paper, the programming model, the framework and the security aspects for the Constrained Application Protocol (CoAP) are analyzed with respect to the WSN. CoAP chooses the two-layered approach, to deal with interchanging of messages. The IOT involves implementing the programming in the Representational State Transfer (REST) model paradigm, which is predominantly inherited by the CoAP protocol. The CoAP proxy adapts a backend framework in a modular form. Also, the Datagram Transport Layer Security (DTLS) overcomes unreliable nature in the CoAP due to the User Datagram Protocol (UDP). The CoAP protocol is studied from different angle with respect to the prominent aspects for implementation of IOT in a real world.
Model Pengoptimuman Portofolio Mean-Variance dan Perkembangan Praktisnya

Many research about portfolio optimization in Indonesia still uses the ‘original’ mean-variance model as proposed by Markowitz more than 60 years ago. This article reviews the development and modification of the Markowitz’s mean-variance model, especially that dealing with real stock-market features, which could help the investor to create their own portfolio. There were several real-stock market features that implemented in the modification of mean-variance portfolios optimization models, such as the minimum transaction lots, the transaction cost, the cardinality constraint, the weight constraint, and the sectoral constraint. To implement these features, several heuristic methods were used to obtain the optimal portfolio weight, such as genetic algorithm, Tabu search, bee colony algorithm, particle swarm algorithm, and simulated annealing. These methods become alternative to the mathematical programming method.
Facile Synthesis of Ternary Alloy of CdSe1-xSx Quantum Dots with Tunable Absorption and Emission of Visible Light

The synthesis of alloyed semiconductor quantum dots has produced structures that have distinct properties in comparison with both their bulk counterparts and their parent binary semiconductor quantum dots. In this work, the quantum confined structures of a ternary alloy of CdSe1−xSx were synthesized by one-pot synthesis method in an aqueous medium at a low temperature and capped with 3-mercaptopropoionic acid. Structures of the synthesized quantum dots were investigated by energy dispersive X-ray, X-ray diffraction, X-ray photoelectron spectroscopy, and high-resolution transmission electron microscopy. The obtained quantum dots had modified cubic structures as proven by X-ray diffraction and selected area electron diffraction. The optical properties of the synthesized quantum dots were characterized by optical absorption, photoluminescence, and color analysis. Optical absorption investigation revealed a widening of the band gap of CdSe1−xSx with increasing S content. This widening increased for the samples suspended in water relative to the samples measured in powder form due to the difference in the environment of the two cases. The size determined from the optical absorption measurements was found to be compatible with the sizes obtained from the X-ray diffraction with the value of bowing parameter around 1, which indicated a graded diffusion of sulfur. It was also ascertained that the emission of different compositions covered the most visible range with a small full width at half maximum. The x and y values of the chromaticity coordinates decreased with increasing sulfur content of up to 15%, while the z value increased.