Miracle-dz/UniFAR-FTUs huggingface dataset:
Input and Output Evaluation of Undergraduate Qualification Improvement Program through Dual Mode System in West Nusa Tenggara, Indonesia

The focus of this study examined the effectiveness of the undergraduate qualification improvement program, for the teachers of Islamic elementary school and the teachers of Islamic Education through Dual Mode System at Mataram State Islamic University. The specified targets are viewed as input and output components. The research included an analysis of documents, interviews with Mataram State Islamic University lecturers and students, Dual Mode System organizers program and Communities. The program evaluation was found that; The input components have been running well (91.61%), the product aspect showed remarkable achievement (100%) and the outcome shows successful in creating 'different values' for its alumni. Based on the analysis, this study recommends there needs to be an increase in quantity and quality aspects.
SnuMAP : an Open-Source Trace Profiler for Manycore Systems

In this paper, we introduce SnuMAP, an open-source trace profiler for multi/many-core systems. The proposed profiler is light-weight, requires no source-code instrumentation and does not degrade performance of the target parallel application, but instead it provides useful information and insights for application developers and multi/many-core resource managers. SnuMAP collects the execution trace of every thread from a multi-threaded application inside the Linux kernel and queries the trace information to visualize it in user-space. Since the trace information is collected in the Linux kernel, SnuMAP can provide insights for multi/many-core resource management. For example, the resource manager can understand how parallel applications are executed and behave on a platform, especially when other workloads are executed simultaneously. This feature is gaining importance as today’s multi/many-core systems co-schedule multiple parallel workloads to increase system utilization. In this paper, we suggest several use cases of the profiler and present interesting results through SnuMAP on our two multi-core platforms, a 32-core AMD Opteron server, and a 36-core Tile-Gx36 processor. SnuMAP is an open source project, more information is available at http://csap.snu. ac.kr/software/snumap
A Structural Econometric Model of The Dynamic Game Between Petroleum Producers in The World Petroleum Market

In this paper, we develop and estimate a structural econometric model of the dynamic game among petroleum-producing firms in the world petroleum market. Our model incorporates the dynamic behavior and strategic interactions that arise as petroleumproducing firms make their investment, production, merger, and acquisition decisions. We allow firms that are at least partially state-owned to have objectives other than profit maximization alone. We use the structural econometric model to analyze the effects of a counterfactual change in OPEC membership on the petroleum industry. Our parsimonious model of the notoriously complex world oil market generates results that align with economic theory and/or previous assessments – anecdotal, qualitative, empirical, or otherwise – of the industry. Although we do not assume or impose that OPEC producers collude to maximize joint profits, but instead infer the strategy and payoffs for OPEC firms from the data, we find that OPEC behaves in such a way that is consistent with its mission and also with cartel behavior. JEL Codes: L71, L13, L78, Q41
Rootkits on Smart Phones: Attacks and Implications

Smart phones are increasingly being equipped with operating systems that compare in complexity with those on desktop computers. This trend makes smart phone operating systems vulnerable to many of the same threats as desktop operating systems. This paper examines the threat posed by rootkits to smart phones. Rootkits are malware that stealthily achieve their goals by modifying operating system code and data, and have long been a problem for desktops. However, smart phones expose several unique interfaces, such as voice, GPS and battery, that rootkits can exploit in novel ways. These attacks can have serious social consequences, ranging from loss of privacy to denial of service during emergencies. This paper demonstrates the threat of smart phone rootkits with three novel attacks. We implemented rootkits that allow a remote attacker to: (1) snoop on a victim’s confidential conversations; (2) snoop on a victim’s geographical location; and (3) stealthily exhaust the battery on a victim’s phone. We also discuss the social implications of each of these attacks.
Uniform flow formulas for irregular sections in straight channels Reply to review of P. Rameshwaran

Reply: In the introduction we meant to say that analytical or approximated solutions require to neglect secondary flows. Of course, it is possible to carry on numerical integration along the lateral (y) direction of the vertically integrated Reynolds equation, like it is done with the SKM or similar methods. This doesn’t avoid the need of using empirical parameters, required to compute the eddy viscosity. In the revised paper we corrected the text to and we added the missing reference.
CGEG-CDEP WP No. 12 Legal Corruption, Politically Connected Corporate Governance and Firm Performance

In this paper we present and test a theory of how political corruption, found in many transition and emerging market economies, affects corporate governance and productive efficiency of firms. Our model predicts that underdeveloped democratic institutions that do not punish political corruption result in political connectedness of firms that in turn has a negative effect on performance. We test this prediction on an almost complete population of Slovenian joint stock companies with 100 or more employees. Using the supervisory board structure, together with balance sheet and income statement data for 2000-2010, we show that a higher share of politically connected supervisory board members leads to lower productivity.
Design, control, and experimental performance of a teleoperated robotic fish

Fish-like propulsion is a challenging alternative to propellers in small underwater vehicles. This paper presents the analysis, the design stages, the development and the experimental evaluation of a small low-cost teleoperated underwater robotic fish, driven by an oscillating foil. The main principles for the development of efficient thrust by oscillating foils are presented, and implemented. Essential mechatronic subsystems of the robot, including the tail's motion control system, the wireless communication system, and the autonomous power system are described. Design equations are provided, evaluation experiments are executed and performance results are presented.
Communication, sequentiality and strategic power. A prisonersï¿½ dilemma experiment

One shot two-player sequential game experiments are characterized by an asymmetry in the observed payoffs of participants. In the ultimatum game, for example, the distribution favors first-movers, whereas in the in- vestment game, it favors second movers. A comparison to sequential move games are symmetric simultaneous move games, which entail symmetry in actions and payoffs. We experimentally examine the role of first-mover anticipated communication on the inter-player strategic power dynamics that exist in a symmetric simultaneous move prisonersi? ½ dilemma, and a sequential move investment game, and show that such communication has a significant effect in inducing payoff asymmetries in symmetric games.
Planning Safe and Legible Hand-over Motions for Human-Robot Interaction

Human-Robot interaction brings new challenges to motion planning. The human, who is generally considered as an obstacle for the robot, needs to be considered as a separate entity that has a position, a posture, a field of view and an activity. These properties can be represented as new constraints to the motion generation mechanisms. In this paper we present three human related constraints to the motion planning for object hand over scenarios. We also describe a new planning method to consider these constraints. The resulting system automatically computes where the object should be transferred to the human, and the motion of the whole robot considering human's comfort.
Status and requirements of geriatric mental health services in India: An evidence-based commentary

In view of appreciable improvements in health care services in India, the longevity and life expectancy have almost doubled. As a result, there is significant demographic transition, and the population of older adults in the country is growing rapidly. Epidemiological surveys have revealed enormous mental health morbidity in older adults (aged 60 years and above) and have necessitated immediate need for the development of mental health services in India. The present population of older adults was used to calculate psychiatric morbidity based on the reported epidemiological data. The demographic and social changes, health care planning, available mental health care services and morbidity data were critically examined and analyzed. The service gap was calculated on the basis of available norms for the country vis-à-vis average mental health morbidity. Data from a recent epidemiological study indicated an average of 20.5% mental health morbidity in older adults. Accordingly, it was found that, at present, 17.13 million older adults (total population, 83.58 millions) are suffering from mental health problems in India. A differing, but in many aspects similar, picture emerged with regard to human resource and infrastructural requirements based on the two norms for the country to meet the challenges posed by psychiatrically ill older adults. A running commentary has been provided based on the available evidences and strategic options have been outlined to meet the requirements and minimize the gap. There is an urgent need to develop the subject and geriatric mental health care services in India.
Title Metronomic gemcitabine in combination with sunitinib inhibits multisite metastasis and increases survival in an orthotopic model of pancreatic cancer

Metronomic chemotherapy suppresses growth of primary tumors and established metastases. However, its effect on metastatic progression is essentially unknown. We report the treatment of a metastatically competent model of pancreatic cancer with metronomic gemcitabine and sunitinib. Mice with orthotopic, red fluorescent protein-expressing, pancreatic cancer tumorgrafts were treated with gemcitabine on a metronomic (1 mg/kg daily, METG) or maximum tolerated dose (150 mg/kg twice weekly, MTDG) schedule with or without sunitinib (SU). Rates of primary tumor growth, metastasis, ascites, and survival were calculated. Gemcitabine at a daily dose of 2 mg or greater led to toxicity within 1 month in mice without tumors but METG at 1 mg/ kg/d was well tolerated. Mice with pancreatic cancer tumorgrafts died with metastatic disease at a median of 25 days. METG/SU significantly prolonged median overall survival (44 days) compared with control or either regimen alone (P < 0.05). Primary tumor growth was inhibited by METG/SU (P = 0.03) but neither METG nor sunitinib alone. In contrast, treatment with METG suppressed metastasis at multiple sites, an effect enhanced by sunitinib. MTDG with or without sunitinib had the most favorable effect on primary tumor growth and survival, but its antimetastatic efficacy was similar to that of METG/SU. von Willebrand factor expression was inhibited by METG. Antimetastatic activity approaching that of MTDG is achieved with a total dose reduced 42 times using METG and is further enhanced by sunitinib. Our results suggest the potential of this therapeutic paradigm against pancreatic cancer in the adjuvant and maintenance settings. ©2010 American Association for Cancer Research. Permissions: To request permission to re-use all or part of this article, contact the AACR Publications Department at permissions@aacr.org. Corresponding Author: Robert M. Hoffman, AntiCancer, Inc., 7917 Ostrow Street, San Diego, CA 92111. Phone: 858-654-2555; Fax: 858-268-4175. all@anticancer.com. Reprints and Subscriptions: To order reprints of this article or to subscribe to the journal, contact the AACR Publications Department at pubs@aacr.org. Disclosure of Potential Conflicts of Interest: No potential conflicts of interest were disclosed. HHS Public Access Author manuscript Mol Cancer Ther. Author manuscript; available in PMC 2015 April 02. Published in final edited form as: Mol Cancer Ther. 2010 July ; 9(7): 2068–2078. doi:10.1158/1535-7163.MCT-10-0201. A uhor M anscript
Synchronization of Fault-Tolerant Clocks in the Presence of Malicious Failures

The problem of achieving global clock synchronization in fault-tolerant clocks by preventing so-called multiple cliques in the presence of malicious clock failures (i.e. clock failures that are perceived differently by different nonfaulty clocks) is addressed. A solution to the problem, referred to as the averaging rule, is developed, and its use is analytically justified using the notions of clock partitions and generalized clock partitions. Experimental characterization of the multiple cliques problem has been undertaken, and certain conditions that induce their occurrence in practical hardware implementation are identified. The effects of clock-receiver triggering variations and phase-detector operating range on the instantaneous frequencies of the clock modules are investigated. The efficacy of the averaging rule is established not only by analysis but also by means of simulations and experimentation with hardware clock implementations. >
Soft Error Derating Computation in Sequential Circuits

Soft error tolerant design becomes more crucial due to exponential increase in the vulnerability of computer systems to soft errors. Accurate estimation of soft error rate (SER), the probability of system failure due to soft errors, is a key factor in design of cost-effective soft error resilient systems. We present a very fast and accurate approach based on enhanced static timing analysis and signal probabilities to estimate the probability of latching an incorrect value in the system bistables (timing derating). Experimental results and comparison with fault injections using timing accurate Monte-Carlo simulations show that the accuracy of our approach is within 1% while orders of magnitude faster
Stochastic-Deterministic MMSE STFT Speech Enhancement With General A Priori Information

A wide range of Bayesian short-time spectral amplitude (STSA) speech enhancement algorithms exist, varying in both the statistical model used for speech and the cost functions considered. Current algorithms of this class consistently assume that the distribution of clean speech short time Fourier transform (STFT) samples are either randomly distributed with zero mean or deterministic. No single distribution function has been considered that captures both deterministic and random signal components. In this paper a Bayesian STSA algorithm is proposed under a stochastic-deterministic (SD) speech model that makes provision for the inclusion of a priori information by considering a non-zero mean. Analytical expressions are derived for the speech STFT magnitude in the MMSE sense, and phase in the maximum-likelihood sense. Furthermore, a practical method of estimating the a priori SD speech model parameters is described based on explicit consideration of harmonically related sinusoidal components in each STFT frame, and variations in both the magnitude and phase of these components between successive STFT frames. Objective tests using the PESQ measure indicate that the proposed algorithm results in superior speech quality when compared to several other speech enhancement algorithms. In particular it is clear that the proposed algorithm has an improved capability to retain low amplitude voiced speech components in low SNR conditions.
Detection of Wind Turbine Power Performance Abnormalities Using Eigenvalue Analysis

Condition monitoring of wind turbines is a field of continuous research and development as new turbine configurations enter into the market and new failure modes appear. Systems utilising well established techniques from the energy and industry sector, such as vibration analysis, are commercially available and functioning successfully in fixed speed and variable speed turbines. Power performance analysis is a method specifically applicable to wind turbines for the detection of power generation changes due to external factors, such as icing, internal factors, such as controller malfunction, or deliberate actions, such as power de-rating. In this paper, power performance analysis is performed by sliding a time-power window and calculating the two eigenvalues corresponding to the two dimensional wind speed - power generation distribution. The power is classified into five bins in order to achieve better resolution and thus identify the most probable root cause of the power deviation. An important aspect of the proposed technique is its independence of the power curve provided by the turbine manufacturer. It is shown that by detecting any changes of the two eigenvalues trends in the five power bins, power generation anomalies are consistently identified.
3 Roles of Serotonin in Atherothrombosis and Related Diseases

Serotonin (5-hydroxytryptamine, 5-HT) was first identified as a powerful vasoconstrictor over a century ago (Rapport et al., 1948), and in the past 20 years has been recognized as an arterial smooth muscle mitogen (Nemecek et al., 1986). Serotonin is also known to act as a monoaminergic neurotransmitter in the brain and gastrointestinal tract, and is involved in a variety of functions, such as mood regulation, urine storage and voiding, the regulation of sleep and body temperature, food intake, and intestinal motility (Ni & Watts, 2006). Serotonin is predominantly synthesized and secreted into the blood stream by enterochromaffin cells in the gastrointestinal tract and is rapidly taken up and stored in small dense granules in platelets (Fanburg & Lee, 1997). In humans, 90% of the body’s 5-HT is located in the intestines, and the rest is present primarily in platelets (89%) and the central nervous system (12%) (Fanburg & Lee, 1997). When platelets adhere and aggregate at sites of vessel injury, 5-HT is secreted and directly accelerates platelet aggregation (De Clerck, 1990; Wester et al., 1992).
Online Nonnegative Matrix Factorization With Outliers

We propose a unified and systematic framework for performing online nonnegative matrix factorization in the presence of outliers. Our framework is particularly suited to large-scale data. We propose two solvers based on projected gradient descent and the alternating direction method of multipliers. We prove that the sequence of objective values converges almost surely by appealing to the quasi-martingale convergence theorem. We also show the sequence of learned dictionaries converges to the set of stationary points of the expected loss function almost surely. In addition, we extend our basic problem formulation to various settings with different constraints and regularizers. We also adapt the solvers and analyses to each setting. We perform extensive experiments on both synthetic and real datasets. These experiments demonstrate the computational efficiency and efficacy of our algorithms on tasks such as (parts-based) basis learning, image denoising, shadow removal, and foreground-background separation.
2 RecipeQA Dataset The Recipe Question Answering ( RecipeQA ) dataset is a challenging multimodal dataset

Understanding and reasoning about cooking recipes is a fruitful research direction towards enabling machines to interpret procedural text. In this work, we introduce RecipeQA, a dataset for multimodal comprehension of cooking recipes. It comprises of approximately 20K instructional recipes with multiple modalities such as titles, descriptions and aligned set of images. With over 36K automatically generated question-answer pairs, we design a set of comprehension and reasoning tasks that require joint understanding of images and text, capturing the temporal flow of events and making sense of procedural knowledge. Our preliminary results indicate that RecipeQA will serve as a challenging test bed and an ideal benchmark for evaluating machine comprehension systems. The data and leaderboard are available at http://hucvl.github. io/recipeqa.
No Effect of Extracorporeal Shockwave Therapy on Patellar Tendinopathy in Jumping Athletes During the Competitive Season

Background: Patellar tendinopathy is a common overuse injury among jumping athletes. No evidence-based treatment guidelines exist. Extracorporeal shockwave therapy (ESWT) appears to be a promising treatment but its effectiveness has not been studied in athletes with patellar tendinopathy who have symptoms for 3 to 12 months and are still playing. Purpose: The TOPGAME study was created to determine the effectiveness of ESWT on pain, symptoms, and function in athletes with early symptomatic patellar tendinopathy who are still in training and competition. Study Design: Randomized controlled trial; Level of evidence, 1. Methods: Athletes playing volleyball, basketball, or handball with patellar tendinopathy for 3 to 12 months were randomized into the ESWT or placebo group during the first half of the season. The ESWT group received 3 ESWT treatments while the placebo group received sham ESWT. In-season follow-up measurements were 1, 12, and 22 weeks after treatment. The primary outcome was severity of patellar tendinopathy determined with the Victorian Institute of Sport Assessment–Patella (VISA-P) questionnaire. Secondary outcome measures were pain during activities of daily living and sports and after functional knee-loading tests rated on a visual analog scale and subjective improvement. Multilevel analyses were performed to determine differences between groups over time. Results: Of the 127 symptomatic athletes invited to participate, 62 were eligible, gave consent, and were randomized into the ESWT (n = 31) or placebo group (n = 31). Mean VISA-P scores before and 1, 12, and 22 weeks after treatment were 59.4 (±11.7), 66.8 (±16.2), 66.7 (±17.5), and 70.5 (±18.9) for the ESWT group and 62.4 (±13.4), 66.3 (±19.0), 68.9 (±20.3), and 72.7 (±18.0) for the placebo group. For the VISA-P, there was a significant effect for time (P < .01) but no treatment × time interaction effect (P = .82). The same pattern was seen in visual analog scale pain scores. One week after final treatment, significantly more athletes in the ESWT group reported subjective improvement (65% vs 32%; χ2 = 6.46, P = .01). This was the only difference noted between the 2 groups. Conclusion: Extracorporeal shockwave therapy as a solitary treatment during the competitive season has no benefit over placebo treatment in the management of actively competing jumping athletes with patellar tendinopathy who have symptoms for less than 12 months.
INTERACTIVE CLARIFICATION DIALOG MANAGEMENT FOR SPOKEN LANGUAGE UNDERSTANDING

Spoken dialog tasks incur many errors including speech recognition errors, understanding errors, and even dialog management errors. These errors create a big gap between user's will and the system's understanding, and eventually result in a misinterpretation. To fill in the gap, people in human-to-human dialog try to clarify the major causes of the misunderstanding and selectively correct them. This paper presents a method for applying the human’s clarification techniques to human-machine spoken dialog systems. To increase the error detection precision and error recovery efficiency for the clarification dialogs, error detection phase is organized into three systematic phases and a clarification expert is devised for recovering the errors using the three phase verification. The experiment results demonstrate that the three phase verification could effectively catch the word and utterance-level errors in order to increase the SLU (spoken language understanding) performance and the clarification experts can actually increase the dialog success rate and the dialog efficiency.