Miracle-dz/UniFAR-FTUs huggingface dataset:
The OECD Framework for Regulatory Policy Evaluation: An Initial Assessment

Designing a framework for evaluating laws, rules and policies within any given legal system is a daunting task. Comprehensive schemes risk ending up as mere paper realities because of the demands they place on evaluators as well as on the addressees of evaluations. More realistic evaluation frameworks on the other hand may not yield many results. The OECD has a long track record of encouraging member countries to deal with ‘regulation’ in the wider sense of the word in a rationalistic and systematic way. These encouragements tend to involve recommendations, peer reviews, and the use of country surveys in order to establish progress in what the OECD usually calls ‘regulatory policy’ or ‘regulatory management’ (‘better regulation’ in EU parlance and sometimes referred to as ‘meta-regulation’ in the literature). Recently a new tool has been added. In a move parallel to the EU's efforts to ‘complete the regulatory cycle’, the OECD has developed a new Framework for Regulatory Policy Evaluation (hereafter referred to as ‘Framework’).
Frequency-Domain Thermal Modeling and Characterization of Power Semiconductor Devices

The thermal behavior of power electronics devices has been a crucial design consideration, because it is closely related to the reliability and also the cost of the converter system. Unfortunately, the widely used thermal models based on lumps of thermal resistances and capacitances have their limits to correctly predict the device temperatures, especially when considering the thermal grease and heat sink attached to the power semiconductor devices. In this paper, frequency-domain approach is applied to the modeling of the thermal dynamics for power devices. The limits of the existing RC lump-based thermal networks are explained from a point of view of frequency domain. Based on the discovery, a more advanced thermal model developed in the frequency domain is proposed, which can be easily established by characterizing the slope variation from the bode diagram of the typically used Foster thermal network. The proposed model can be used to predict not only the internal temperature behaviors of the devices but also the behaviors of the heat flowing out of the devices. As a result, more correct estimation of device temperature can be achieved when considering the cooling conditions for the devices.
MPPT design on solar farm using perturb and observe technique considering tilt angle and partial shading in Giligenting Island

Giligenting Island is located in Sumenep, Madura. It is very potential for application the renewable energy. Based on the measurement, the maximum potential irradiance solar farm in the Island is accounted 610 W/m2. To convert the irradiance power to electricity, photovoltaic is applied. However, photovoltaic modules are drastically decrease their power output in case of the partial shading conditions. Therefore, perturb and obverse method (PnO) is introduced to track the point to establish the maximum power. In addition, the maximum power point tracking (MPPT) is employed to reduce the shading effects, thus by both method, the power generated is maximum. Besides, this technique is able to overcome the limitations in tracking efficiency, oscillation in steady state, and transient period. In this paper to maximize the irradiance observation, optimal site selection is undertaken by considering the tilt angles of PV and by approaching a sun path diagram model. Based on this study and experiment that have been taken in Giligenting Island, it is summed up that the proposed MPPT algorithm is superior to P&O technique with varies partial shading conditions. The results of the simulation yield that the power output of photovoltaic cover 99.4% of the load demand in Giligenting Island.
Application of hybrid meta-heuristic method to unit commitment in power systems

In this paper, a new hybrid meta-heuristic method is proposed to solve the unit commitment (UC) problem in power systems effectively. The proposed method focuses on the global optimization in a sense that a generation company need carry out the cost reduction under competitive environment. The objective of UC is to minimize operation-cost while satisfying the constraints. The unit commitment problem is hard to solve due to the complexity. The problem formulation may be written as a nonlinear mixed-integer problem that consists of two kinds of variables. Namely, one is a discrete variable to determine on-off state of generators while the other is a continuous one to evaluate output of generators. This paper proposes a new hybrid meta-heuristic method that makes use of TS-EPSO techniques and evaluates solutions with two layers. Layer 1 determines the on-off state of generators with tabu search (TS) while Layer 2 evaluates output of generators with the evolutionary particle swarm optimization (EPSO). TS is one of meta-heuristics that introduces the adaptive memory function into the hill-climbing method of local search to escape from a local minimum. It is very effective for solving a combinatorial optimization problem efficiently. EPSO improves the performance of particle swarm optimization (PSO) of swarm intelligence though the evolutionary strategy for tuning the parameters. EPSO has better performance in dealing with an optimization problem with continuous variables. The effectiveness of the proposed method is successfully applied to a sample system.
Cache Automaton

Finite State Automata are widely used to accelerate pattern matching in many emerging application domains like DNA sequencing and XML parsing. Conventional CPUs and compute-centric accelerators are bottlenecked by memory bandwidth and irregular memory access patterns in automata processing. We present Cache Automaton, which repurposes last-level cache for automata processing, and a compiler that automates the process of mapping large real world Non-Deterministic Finite Automata (NFAs) to the proposed architecture. Cache Automaton extends a conventional last-level cache architecture with components to accelerate two phases in NFA processing: state-match and state-transition. State-matching is made efficient using a sense-amplifier cycling technique that exploits spatial locality in symbol matches. State-transition is made efficient using a new compact switch architecture. By overlapping these two phases for adjacent symbols we realize an efficient pipelined design. We evaluate two designs, one optimized for performance and the other optimized for space, across a set of 20 diverse benchmarks. The performance optimized design provides a speedup of 15× over DRAM-based Micron’s Automata Processor and 3840× speedup over processing in a conventional x86 CPU. The proposed design utilizes on an average 1.2 MB of cache space across benchmarks, while consuming 2.3 nJ of energy per input symbol. Our space optimized design can reduce the cache utilization to 0.72 MB, while still providing a speedup of 9× over AP. CCS CONCEPTS • Hardware → Emerging architectures; • Theory of computation → Formal languages and automata theory;
Predictive voltage controller for T-type NPC inverter

The objective of this paper is to present a new method to control the TNPC inverter with output LC filter based on the Predictive controller. Furthermore, the balance voltage capacitors is also obtained with the proposed method. The model of the system is used to establish the equations, which can be applied to calculate the future values of the load voltage and the dc-link capacitor voltages at the next sampling time. After that, the optimal voltage vectors that minimize both the load voltage and the dc-link capacitor voltages error which are chosen for the next switching state of the TNPC inverter. Obtained simulation and experimental results verified the theoretical analysis and demonstrated that the load voltage is almost sinusoidal in steady-state operation regardless the load is linear or not.
Punctuated equilibrium or ambidexterity : dynamics of incremental and radical organizational change over time

Using formal simulation, I examine how environmental turbulence and complexity influence the temporal patterns of incremental and radical organizational change. In stable and simple environments, incremental change is found to be sufficient to keep pace with the task environment. Both turbulence and complexity are found to generate a punctuated equilibrium pattern but with different underlying mechanisms. When both turbulence and complexity are high, the punctuated equilibrium pattern is replaced by a dynamic type of ambidexterity. Implications for managing organizational change are discussed.
Myocardial ischaemia, risk factors and death from coronary heart-disease.

Mortality follow-up is now complete for 5 years in the 18 403 male civil servants aged 40-64 who were examined between 1967-69 in the Whitehall Study of British civil servants. During this period, 277 of them died of coronary heart-disease (C.H.D.); half of these deaths were in subjects in whom the findings at initial screening had suggested early myocardial ischaemia (angina or history of possible infarction according to standard questionnaire, or electrocardiographic evidence of ischaemia). The finding of suspect ischaemia had greater predictive power than the "primary" coronary risk factors, from which it was generally independent. At each level of the primary risk factors, the risk of death from C.H. D. was much greater in the presence of suspect ischaemia; and, with the possible exceptions of glucose tolerance and physical activity, the main risk factors still operated even at the stage of early ischaemia. These findings have implications for future studies of the effects of intervention.
Gait analysis using LLE

In motion based gait recognition method, it is very important to detect gait cycle and extract dynamic features in a gait cycle. Gait has the property of cycle and there are similarities within adjacent frames of gait sequence. LLE is a nonlinear dimension reduction method which can preserve local geometry, so LLE is a suitable tool for analyzing gait cycle and dynamic features in a gait cycle. Experiments results show, 1-d LLE embedding of gait sequence has almost the same information as that of 2-d LLE embedding and is sufficient for gait analysis. Zero crossing of 1-d or 2-d LLE embedding shows gait cycle and the shape of 1-d or 2-d LLE embedding shows the dynamic features of gait.
Anticancer Activity of Punica granatum (Pomegranate): A Review

Cancer is a pathological condition where excessive and abnormal cell growth leads to widespread invasion within the body to affect various organ functions. It is known that chemotherapeutic agents are themselves possible candidate of cancer generation as they can kill normal cells. So, therapeutic approach for cancer treatment and prevention is weighed in terms of benefit to risk ratio. Nowadays, there is an immense interest for the search herbal formulation with cancer preventive effect because of the problems, generated with existing chemotherapeutic regimens. Research interest in fruits rich in polyphenols is increasing because of their anticancer potential. In this review, we highlight the potential health benefits of pomegranate (Punica granatum) fruit and the underlying mechanism of its inhibition of cancer progression. Pomegranate has demonstrated anti‐proliferative, anti‐metastatic and anti‐invasive effects on various cancer cell line in vitro as well as in vivo animal model or human clinical trial. Although several clinical trials are in progress for identifying the pomegranate as a candidate for various cancer treatment. It is necessary to replicate and validate its therapeutic efficacy by multiple clinical studies in order to formulate pomegranate products as an integral part of the dietary and pharmacological intervention in anticancer therapy. Copyright © 2017 John Wiley & Sons, Ltd.
Multiple Molecular Determinants in the Carboxyl Terminus Regulate Dopamine Transporter Export from Endoplasmic Reticulum*

The plasma membrane dopamine transporter (DAT) has an essential role in terminating dopaminergic neurotransmission by reuptake of dopamine into the presynaptic neurons. Therefore, the amount of DAT at the cell surface is a critical determinant of DAT function. In this study, we examined the role of the carboxyl terminus of DAT in trafficking of the transporter through the biosynthetic pathway to the plasma membrane. Live cell fluorescence microscopy and cell surface biotinylation were used to study the effects of systematic deletions and alanine substitutions in the carboxyl terminus on DAT localization. It was found that alanine substitutions of Lys-590 and Asp-600 significantly delayed the delivery of DAT to the plasma membrane because of retention of DAT in the endoplasmic reticulum (ER). Most surprising, mutation of Gly-585 to alanine completely blocked the exit of DAT from the ER and surface expression of the transporter. The effect of these three mutations on ER export of DAT was demonstrated in porcine aortic endothelial cells and the immortalized neuronal cell line 1RB3AN27. In primary cultures of rat embryonic midbrain neurons, DAT G585A, K590A, and D600A mutants were restricted to the cell soma and did not traffic to the dendrites or axonal processes. These data are consistent with the model whereby the local conformation and/or intramolecular interactions of the sequences of the DAT carboxyl terminus proximal to the last transmembrane domain are essential for the ER export of the transporter.
Novel insights into enhanced dewatering of waste activated sludge based on the durable and efficacious radical generating

ABSTRACT This study aims to develop a high-efficiency radical oxidation process for enhancing the dewaterability of waste activated sludge (WAS). Radical scavenging studies combined with electron paramagnetic resonance (EPR) were carried out for the direct radical identification and effectiveness evaluation of radical oxidation. The results indicated that Fe(II)-activated CaO2 can pose a superior effect on dewatering WAS due to its distinctive capacity of stable •OH production and the high reaction efficiency of regulated-released •OH with water-holding organics. The mechanism for the enhanced dewatering performance was also explored. The rupture of sludge colloidal flocs and the reduction of hydrophilic functional groups in loosely bound extracellular polymeric substances (LB-EPS) were found to be mainly responsible for the release of interstitial water and improved dewaterability, respectively. In addition, an inference about the relationship between interfacial water and zeta potential of different EPS fractions was established by the simultaneous measurement of the binding affinities of Ca2+ and Fe2+/Fe3+ for EPS and bound water content. All these results provide the direct evidence that Fe(II)-activated CaO2 is a promising pretreatment reagent for sludge disposal. Implications: Fe(II)-activated CaO2 was first proposed to be highly effective in enhancing the dewaterability of waste activated sludge. Electron paramagnetic resonance (EPR) spectroscopy provided the direct evidence for the specific advantages of CaO2, especially the capacity of durable and efficacious •OH production leading to the excellent conditioning performance.
Association of Self-Efficacy and Self-Regulation with Nutrition and Exercise Behaviors in a Community Sample of Adults

This study examined the association of self-efficacy and self-regulation with nutrition and exercise behaviors. The study used a cross-sectional design and included 108 participants (54 men, 54 women). Nutrition behaviors (fruit/vegetable consumption, dinner cooking, and restaurant eating) and exercise were measured using total days in last week a behavior was reported. Instruments measuring self-efficacy and self-regulation demonstrated excellent Cronbach’s alphas (.93–.95). Path analysis indicated only fruit/vegetable consumption and exercise were associated with self-efficacy and self-regulation. Self-regulation showed direct association with fruit/vegetable consumption and exercise, but self-efficacy had direct association only with exercise. Self-efficacy and self-regulation should be strategically used to promote health behaviors.
The Effect of Technical and Functional Quality on Guests’ Perceived Hotel Service Quality and Satisfaction: A SEM-PLS Analysis

ABSTRACT Numerous models on perceived service quality are discussed in literature besides SERVQUAL including technical and functional quality model. Functional quality attributes have been well studied but studies about technical quality attributes are rather limited. This article aims to integrate existing frameworks and propose antecedents towards perceived service quality and resulting customer satisfaction. A total of 204 questionnaires were collected from the guests staying at hotels in Malaysia. Partial least squares (PLS-SEM) method was employed to test the proposed relationships. Findings from the study support the significant relationship between functional quality, technical quality, overall perceived service quality and guest satisfaction. Furthermore, the first order constructs on the designated second order constructs support that both functional quality and technical quality as second order reflective constructs with five and three first order dimensions respectively. Practical implications and limitations of the study are discussed in detail.
Involvement of Vacuolar Sequestration and Active Transport in Tolerance of Saccharomycescerevisiae to Hop Iso-α-Acids

ABSTRACT The hop plant, Humuluslupulus L. , has an exceptionally high content of secondary metabolites, the hop α-acids, which possess a range of beneficial properties, including antiseptic action. Studies performed on the mode of action of hop iso-α-acids have hitherto been restricted to lactic acid bacteria. The present study investigated molecular mechanisms of hop iso-α-acid resistance in the model eukaryote Saccharomycescerevisiae. Growth inhibition occurred at concentrations of hop iso-α-acids that were an order of magnitude higher than those found with hop-tolerant prokaryotes. Chemostat-based transcriptome analysis and phenotype screening of the S. cerevisiae haploid gene deletion collection were used as complementary methods to screen for genes involved in hop iso-α-acid detoxification and tolerance. This screening and further analysis of deletion mutants confirmed that yeast tolerance to hop iso-α-acids involves three major processes, active proton pumping into the vacuole by the vacuolar-type ATPase to enable vacuolar sequestration of iso-α-acids and alteration of cell wall structure and, to a lesser extent, active export of iso-α-acids across the plasma membrane. Furthermore, iso-α-acids were shown to affect cellular metal homeostasis by acting as strong zinc and iron chelators.
A weight-based map matching algorithm using minimum input variables for urban road networks

Global Positioning System (GPS) has found its application in the field of Intelligent Transportation Systems (ITS) in fleet management, prediction of arrival of public transport vehicles, route identification, route navigation, and many other location based services. Map matching algorithms integrate the positioning data received from the GPS, with digital road networks on existing maps. This includes minimizing the error in locating the vehicle on a route, identifying the correct road segment and locating the vehicle's correct position on the road network. This paper presents a weight based map matching algorithm, which can be applied in real-time, for complex urban road networks. The parameters considered in the evaluation of the candidate segments are distance, direction difference and connectivity with the previously identified segment. A comparison between these parameters for the two best road segments was analyzed to identify probable cases of ambiguity in selection of the best segment and a solution to overcome wrong assignments was included in the algorithm. The most noticeable feature about this algorithm is the high accuracy of 96.55% for segment assignment using minimum input variables of latitude and longitude of the vehicles.
Towards Learned Clauses Database Reduction Strategies Based on Dominance Relationship

Clause Learning is one of the more important components of conflict driven clause learning (CDCL) SAT solver that is effective on industrial instances. Since the number of learned clauses is proved to be exponential in the worse case, it is necessarily to identify the most relevant clauses to maintain and delete the irrelevant ones. As reported in the literature , several learned clauses deletion strategies have been proposed. However the diversity in both the number of clauses to be removed at each step of reduction and the results obtained with each strategy creates confusion to determine which criterion is better. Thus, the problem to select which learned clauses are to be removed during the search step remains very challenging. In this paper, we propose a novel approach to identify the most relevant learned clauses without favoring or excluding any of the proposed measures, but by adopting the notion of dominance relationship among those measures. Our approach bypasses the problem of the diversity of results and reaches to a compromise between the assessments of these measures. Furthermore , the proposed approach also avoids another non-trivial problem which is the amount of clauses to be deleted at each reduction of the learned clause database.
Investigation of Switching-Time Variations for Nanoscale MOSFETs Using the Effective-Drive-Current Approach

This letter investigates the impacts of random dopant fluctuation (RDF) and line edge roughness (LER) on the switching-time (ST) variation for nanoscale MOSFETs using the effective-drive-current (1 eff) approach that decouples the ST variation into transition-charge (¿Q) and 1 eff variations. Although the RDF has been recognized as the main variation source to the threshold-voltage variation, this letter indicates that the relative importance of LER increases as the ST variation is considered.