Miracle-dz/UniFAR-FTUs huggingface dataset:
AN EMPIRICAL ANALYSIS OF ADMINISTRATIVE ECONOMIC EFFICIENCY IN SABAH LOCAL GOVERNMENT: A DEA APPLICATION

Malaysian local government reform has been addressed through various public policies aimed at improving its performance over the decades. An important question which arises is whether these technological and management programs have translated into performance gains, particularly in the corporate centres of local authorities (LAs). Using a panel data of two inputs and four outputs from 2000 to 2012, a two-stage double bootstrap Data Envelopment Analysis (DEA) method is employed to estimate administrative technical efficiency (TE) in the corporate centres of 17 LAs in the Malaysian state of Sabah. The results showed an overall inadequate mean of TE scores and minor fluctuations in TE scores over the years under analysis, illustrating the rigidity of management performance. On average, the LAs recorded TE scores of 0.52, which implied that the LAs should be able to increase output by 48% while maintaining the same amount of input. The big urban LAs performed better with the TE scores of 0.60; while the small urban LAs recorded lower TE scores of 0.43. Further analysis demonstrated that the environmental variable, urban population bore a negative relationship to the TE scores. Several public policy recommendations are proposed.
Applying Conformal Prediction to Control an Exoskeleton

This paper investigates the use of the Conformal Prediction (CP) framework for providing conﬁdence measures to assist a Brain Machine Interface (BMI) in the task of controlling an exoskeleton using electroencephalogram (EEG) and electrooculogram (EOG) clips. Reliable and accurate control of assistive robotics is still an important challenge because of the noisy nature of EEG’s and EOG’s and the fact that any misclassiﬁcation can lead to unwanted actions and serious safety risks. Therefore a technique that will compliment predictions with a well-calibrated indication of how correct they are, should be very beneﬁcial for the particular application as it can signiﬁcantly enhance safety. Our approach consists of an Inductive Conformal Predictor (ICP) built on top of a Bidirectional Long Short Term Memory (BiLSTM) Neural Network. We conduct experiments on a dataset consisting of EEG and EOG data collected from one subject with a high spinal cord lesion.
Sequence , Haplotype , and Ancestry : Using the Mitochondrial DNA Hypervariable Region to Predict Forensic “ Race ”

The research adopts the method of the simulation of crime situation, takes waveform deviation and wave area as the indexes, explores the EEG response of the guilty individuals and innocent individuals to target pictures, as well as familiar and unfamiliar pictures. The results show that there is no signifi cant difference in the waveform deviation and wave area of the EEG response of the individuals of different genders to the three types of pictures; the response of the guilty individuals to the target pictures and familiar pictures is more similar; the response of the innocent individuals to target pictures and unfamiliar pictures is more similar. In the future research and practice, waveform deviation and wave area can be acted as the effective new indexes by which to examine whether an individual is guilty.
The difficulty of predicting risky decisions

Affect and feelings states influences decision-making and risk-taking, however is it not clear yet how. This report presents a between-subject experiment on the two mechanisms, affective evaluation and affect regulation, and on how risk-taking redirects depending on which of the two is active. Incidental affect (positive, negative or neutral) was induced by pictures in an online experiment with 999 participants, who conducted the Columbia Card Task (CCT) to measure the risk-taking. The participants were informed prior to the task that gambling either makes people happy (mood-lifting cue), sad (mood-threatening cue) or has no effect on people’s mood (mood-freezing cue). The predicted results in this experiment was not found. However, the results indicate that mood changing qualities of a task can be manipulated and that further research about the interaction between incidental and integral affect is needed. The results also displayed how fleeting induced affect can be and consciousness about what affect is used is discussed.
MATHEMATICAL ANALYSIS OF A VISCOELASTIC-GRAVITATIONAL LAYERED EARTH MODEL FOR MAGMATIC INTRUSION IN THE DYNAMIC CASE

Volcanic areas present a lower effective viscosity than usually in the Earth’s crust. It makes necessary to consider inelastic properties in deformation modelling. As a continuation of work done previously by some of the authors, this work is concerned with the proof that the perturbed equations representing the viscoelastic-gravitational displacements resulting from body forces embedded in a layered Earth model leads to a well-posed problem even for any kind of domains, with the natural boundary and transmission conditions. A homogeneous or stratified viscoelastic half-space has often been used as a simple earth model to calculate the displacements and gravity changes. Here we give a constructive proof of the existence of weak solutions and we show the uniqueness and the continuous dependence with respect to the initial data of weak solutions of the dynamic coupled viscoelastic-gravitational field equations.
Modeling Long-Range Context for Concurrent Dialogue Acts Recognition

In dialogues, an utterance is a chain of consecutive sentences produced by one speaker which ranges from a short sentence to a thousand-word post. When studying dialogues at the utterance level, it is not uncommon that an utterance would serve multiple functions. For instance, “Thank you. It works great. ” expresses both gratitude and positive feedback in the same utterance. Multiple dialogue acts (DA) for one utterance breeds complex dependencies across dialogue turns. Therefore, DA recognition challenges a model’s predictive power over long utterances and complex DA context. We term this problem Concurrent Dialogue Acts (CDA) recognition. Previous work on DA recognition either assumes one DA per utterance or fails to realize the sequential nature of dialogues. In this paper, we present an adapted Convolutional Recurrent Neural Network (CRNN) which models the interactions between utterances of longrange context. Our model significantly outperforms existing work on CDA recognition on a tech forum dataset. ACM Reference Format: Yue Yu, Siyao Peng, and Grace Hui Yang. 2019. Modeling Long-Range Context for Concurrent Dialogue Acts Recognition. In The 28th ACM International Conference on Information and Knowledge Management (CIKM ’19), November 3–7, 2019, Beijing, China. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3357384.3358145
Dietary Guidelines for Americans is associated with a more nutrient-dense diet and a lower risk of obesity 1 – 3

Background: Dietary pattern analysis represents a departure from the traditional focus on single foods and nutrients and provides a comprehensive understanding of the role of the diet in chronic disease prevention and etiology. Dietary patterns of Canadians have not been evaluated comprehensively with the use of an updated a priori dietary quality index. Objectives: We aimed to update the Dietary Guidelines for Americans Adherence Index (DGAI) on the basis of the 2015 Dietary Guidelines for Americans (DGA), to evaluate the construct validity and reliability of the revised index, and to examine whether closer adherence to this index is associated with a lower risk of obesity with or without an accompanying chronic
Ensembles based on Conformal Instance Transfer Shuang

In this paper we propose a new ensemble method based on conformal instance transfer. The method combines feature selection and source-instance selection to avoid negative transfer in a model-independent way. It was tested experimentally for different types of classifiers on several benchmark data sets. The experiment results demonstrate that the new method is capable of outperforming significantly standard instance transfer methods.
THE EFFECTS OF TAURINE ON PERMETHRIN-INDUCED CYTOGENETIC AND OXIDATIVE DAMAGE IN CULTURED HUMAN LYMPHOCYTES

Permethrin (PM) is a common pyrethroid pesticide used to control pests in agriculture, forestry, horticulture, health care, homes, and textile industry. It is confi rmed as a strong mutagen in animals and humans. Taurine (TA) is an amino acid found in mammalian tissues that protects the cell against DNA damage. In this study, we investigated whether supplementation of human lymphocyte cultures with TA (in the concentrations of 25 μg mL-1, 50 μg mL-1 and 100 μg mL-1) provided any protection against PM toxicity applied in the concentration of 200 μg mL-1. Genotoxicity was assessed using the micronucleus (MN) and sister chromatid exchanges (SCE) tests. In addition, we measured the total antioxidant capacity (TAC) and total oxidative stress (TOS) levels in the plasma to determine oxidative effects. PM increased SCE and MN levels and altered TAC and TOS levels. TA alone did not affect SCE and MN levels compared to controls, regardless of the concentration applied. In addition, it increased TAC levels without changing TOS levels. Moreover, it signifi cantly buffered the negative cytogenetic and oxidative effects induced by PM in a clear dose-dependent manner. In conclusion, this study is the fi rst to evidence the benefi cial effects of TA against PM-induced DNA and oxidative damages in vitro.
Palladio Days 2012

Extending metamodels to account for new concerns has a major influence on existing instances, transformations and tools. To minimize the impact on existing artefacts, various techniques for extending a metamodel are available, for example, decorators and annotations. The Palladio Component Model (PCM) is a metamodel for predicting quality of componentbased software architectures. It is continuously extended in order to be applicable in originally unexpected domains and settings. Nevertheless, a common extension approach for the PCM and for the tools built on top of it is still missing. In this paper, we propose a lightweight extension approach for the PCM based on profiles and stereotypes to close this gap. Our approach is going to reduce the development effort for new PCM extensions by handling both the definition and use of extensions in a generic way. Due to a strict separation of the PCM, its extension domains, and the connections in between, the approach also increases the interoperability of PCM extensions.
COMPARISON OF FRACTURE RESISTANCE OF TEETH RESTORED WITH MICROHYBRID , FIBER REINFORCED AND NANOHYBRID COMPOSITE RESINS AN IN-VITRO STUDY

Background: The present literatures do not provide much on the fracture resistance of different types of composites. There for this study was undertaken to Comparatively assess the fracture resistance of microhybrid, fiber reinforced and nanohybrid composite resins used in restoring class2 MOD cavities. Aim: Comparatively assess the fracture resistance of microhybrid, fiber reinforced and nanohybrid composite resins used in restoring class2 MOD cavities. Objective: Compare and assess the fracture resistance of microhybrid, fiber reinforced and nanohybrid composite resins used in restoring class2 MOD preparation of maxillary premolars using universal testing machine. Methodology: One hundred and eighty maxillary premolars were randomly divided into three groups based on type of composite resin: microhybrid, nanohybrid and fiber reinforced composites. The MOD preparations were standardized; composite restoration was done according to manufacturer’s instruction. Universal testing machine was used at a cross head speed of 5mm/min until fracture occurred. Results: Fiber reinforced composite had a slightly higher fracture resistance according to this study comparing nanohybrid and microhybrid. Interpretation & Conclusion: Fiber reinforced composites can be a material of choice for restoration of large class II cavities as the fracture resistance values were high comparing to microhybrid and nanohybrid composites. Nano hybrid composites also showed good results of fracture resistance but comparatively lesser that fiber reinforced composites.
ERP Implementation Satisfaction-A Data Quality Approach

Enterprise resource planning (ERP) systems are an important development to help increase cross-functional efficiency and effectiveness. Data quality issues are critical for the successful implementation of any type and size of systems, especially for ERP systems, because ERP systems are inter-connected, and highly integrated. The primary measurement of system success often derived from user satisfaction. This study proposes a research framework of using a data quality approach to measure ERP implementation user satisfaction. We utilized survey methodology to test the research hypotheses and framework. The results of the survey supported the proposed research framework, and showed that data quality of the ERP system affects the users’ perceived usefulness of the information, and perceived usefulness of the information affects the users’ satisfaction of the ERP implementation.
Caffeine as a

Caffeine (a stimulant) and ethanol (a depressant) may have opposite effects in our body, but under in vitro conditions they can “gel” together. Caffeine, being one of the widely used stimulants, continued to surprise the scientific community with its unprecedented biological, medicinal and physicochemical properties. Here, we disclose the supramolecular self-assembly of anhydrous caffeine in a series of alcoholic and aromatic solvents, rendering a highly entangled microcrystalline network facilitating the encapsulation of the solvents as illustrated using direct imaging, microscopy analysis and NMR studies.
Fusion of Camera and Lidar Data for Object Detection using Neural Networks

Zusammenfassung: We present a novel architecture for intermediate fusion of Lidar and camera data for neural network-based object detection. Key component is a transformer module which learns a transformation of feature maps from one sensor space to another. This allows large parts of the multi-modal object detection network to be trained unimodally, reducing the required amount of costly multi-modal labeled data. We show effectiveness of the transformer as well as the proposed fusion scheme.
Antenatal depression programs cortisol stress reactivity in offspring through increased maternal inflammation and cortisol in pregnancy : The Psychiatry Research and Motherhood – Depression ( PRAM-D ) Study

Introduction: Antenatal depression is associated with a broad range of suboptimal outcomes in offspring, although the underlying mechanisms are not yet understood. Animal studies propose inflammation and glucocorticoids as mediators of the developmental programming effect of prenatal stress on offspring stress responses, but studies in humans are not yet at this stage. Indeed, to date no single study has examined the effects of a rigorously defined, clinically significant Major Depressive Disorder (MDD) in pregnancy on maternal antenatal inflammatory biomarkers and hypothalamic-pituitary (HPA) axis, as well as on offspring HPA axis, behavior and developmental outcomes in the first postnatal year. Methods: A prospective longitudinal design was used in 106 women (49 cases vs. 57 healthy controls) to study the effect of MDD in pregnancy and associated antenatal biology (inflammatory and cortisol biomarkers), on offspring stress response (cortisol response to immunization, at 8 weeks and 12 months), early neurobehavior (Neonatal Behavioral Assessment Scale, NBAS, at day 6), and cognitive, language and motor development (Bayley Scales of Infant and Toddler Development at 12 months). Results: Compared with healthy controls, women with MDD in pregnancy had raised interleukin (IL) IL-6 (effect size (δ)= 0.53, p= 0.031), IL-10 (δ=0.53, p=0.043), tumor necrosis factor alpha (δ=0.90, p=0.003) and vascular endothelial growth factor (δ=0.56, p=0.008), together with raised diurnal cortisol secretion (δ=0.89, p= 0.006), raised evening cortisol (δ=0.64, p=0.004), and blunted cortisol awakening response (δ=0.70, p= 0.020), and an 8-day shorter length of gestation (δ=0.70, p= 0.005). Furthermore, they had neonates with suboptimal neurobehavioral function in four out of five NBAS clusters measured (range of δ=0.45–1.22 and p= 0.049–<0.001) and increased cortisol response to stress at one year of age (δ=0.87, p < 0.001). Lastly, maternal inflammatory biomarkers and cortisol levels were correlated with infant stress response, suggesting a mechanistic link. Conclusion: This study confirms and extends the notion that depression in pregnancy is associated with altered offspring behavior and biological stress response, and demonstrates that changes in maternal antenatal stressrelated biology are associated with these infant outcomes.
To Evaluate the Differences in Visual Field Patterns of Primary Open Angle Glaucoma and Normal Tension Glaucoma

Aim: Different pathogenesis of primary open angle glaucoma (POAG) and normal tension glaucoma (NTG) has lead to dichotomy of views about the difference between visual field patterns of two. One group of ophthalmologists believe that the visual field defects in NTG are steeper, focal and closer to fixation; while other groups believe that there is no significant difference between the two. Since the data on Indian population is lacking, we have devised this study to evaluate the visual field differences between primary open angle glaucoma (POAG) and normal tension glaucoma (NTG). Materials and Methods: This prospective cross-sectional study included glaucoma patients, which were segregated intoprimary open angle and normal tension glaucoma group, each group having 25 eyes. Patients of two groups (after matching based on severity of disease) were compared point-to-point wise for pattern standard deviation (PSD) values. The glaucoma hemifields were also matched for pattern standard deviation (PSD) values. Results: The age, refractive error, mean deviation and central corneal thickness of POAG and NTG group was 63.2±10.9 and 60.5±11.4 years, 1.73±3.05 and 1.56±2.53 diopters, -7.65±5.93 and -6.25±6.12 decibels and 0.571±0.031 and 0.562±0.033 mm respectively. Cup to disc ratio for POAG and NTG group is 0.568±0.151 and 0.516±0.158 respectively. None of the values were significant. Other fundus findings were also not found to be significant. Patients were then recruited into groups based on perimetric findings. Mean deviation of mild defects were -4.7±0.862 and -4.92±0.79, moderate defects were -7.04±1.06 and -7.12±0.98 and severe defects were -12.34 and -12.17±0.165 in POAG and NTG groups respectively. None of the values were significant. Then the pattern standard deviation values were compared between two groups and only one point located superior to blind spot came out to be significant. Rest was non-significant. Further on comparing the glaucoma hemifields, none of the area came out to be significant between POAG and NTG group. Conclusion: No significant difference between visual field defects of POAG and NTG were found, suggesting that NTG is continuum of the spectra of POAG, rather than totally different entity. Clinical significance: To know whether normal tension glaucoma is different from primary open angle glaucoma?
WI Is Not Enough: Zero-Knowledge Contingent (Service) Payments Revisited

While fair exchange of goods is known to be impossible without assuming a trusted party, smart contracts in cryptocurrencies forgo such parties by assuming trust in the currency system. They allow a seller to sell a digital good, which the buyer will obtain if and only if she pays. Zero-knowledge contingent payments (zkCP) show that, despite the limited expressiveness of its scripting language, this is even possible in Bitcoin by using zero-knowledge proofs. At CCS'17, Campanelli, Gennaro, Goldfeder and Nizzardo showed that the zkCP protocol was flawed, in that the buyer could obtain information about the good without paying. They proposed countermeasures to repair zkCP and moreover observed that zkCP cannot be used when a service is sold. They introduce the notion of ZK contingent payments for services and give an instantiation based on a witness-indistinguishable (WI) proof system. We show that some of their proposed countermeasures are not sufficient by presenting an attack against their fixed zkCP scheme. We also show that their realization of zkCP for services is insecure, as the buyer could learn the desired information (i.e., whether the service was provided) without paying; in particular, we show that WI of the used proof system is not enough.
Investigation of Bioactive Constituents and the Antitumour principle from Butea monosperma

Ni Ni Than Associate Professor, Department of Chemistry University of Yangon Yangon, Myanmar drnnthan@gmail.com Corresponding Author: Ni Ni Than Heinz-Herbert Fiebig Professor, Oncotest GmbH Am Flughafen 12-14, D-79108 Freiburg, Freiburg, Germany Hartmut Laatsch Professor, Department of Organic and Biomolecular Chemistry Tammanstraße 4, D-37077 Göttingen Göttingen, Germany AbstractThe ethanol extract of the flower of Butea monosperma (Fabaceae) was found to contain butein (1), butin (2), monospermoside (3), medicarpin-3-O-glucoside (4), ß-sitosterol glucoside (5), sulphurein (6), isomonospermoside (7), isocoreopsin (8), butrin (9), isobutrin (10) ergost-5-en-3ß-ol (11), stigmasterol (12), ß-sitosterol (13), 6,10,14-trimethyl-2-pentadecanone (14), methyl hexadecanoate(15), methyl octadecanoate (16), and heptacosane (17), whose structures were determined by modern spectroscopic techniques. In which, medicarpin-3-O-glucoside (4) was isolated for the first time from this plant. The antitumour activity of three pure compounds (1), (9) and (10) were tested by using 6 human tumour cell lines. Compound (1) which showed activity in the primary screening was further screened by 36 human tumour cell lines. Compound (1) showed mean IC70 value at 11.34 μg/mL and mean IC50 value at 7.39 μg/mL in the ovarian tumour cell line.
ANTHROPOGENIC AFFECT ON BOREAL NUCLEATION PARTICLES

Department of Physics and Mathematics, University of Eastern Finland,70211 Kuopio, Finland Department of Physics, POB 64, FI-00014 University of Helsinki, Finland Department of Environmental Sciences, University of Eastern Finland, 70211 Kuopio, Finland Aerodyne Research Inc., 45 Manning Road, Billerica, MA 01821-3976, USA Finnish Meteorological Institute, Helsinki Unit, Finland Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland Maritime Research Centre, Mussalontie 428, FI-48310 Kotka, Finland