Miracle-dz/UniFAR-FTUs huggingface dataset:
Pricing of Skewness in Emerging Markets

We empirically test the prediction of Barberis and Huang (2008) model which predicts that if traders in the stock markets have cumulative prospect theory preferences then the positively skewed stocks should on average have lower returns. We use the data from 20 developing and emerging economies to test this prediction. Two measures of anticipated stock skewness are used: one based on past self-skewness and another based on group skewness as introduced by Zhang (2005). Our results are as follows. First, while the evidence is somewhat mixed, in general the data rejects the Barberis and Huang’s prediction. Second, in our data from these 20 countries, the past self-skewness is better skewness predictor than the group variables which is in contrast with Zhang’s result.
NUMA-Aware Thread Migration for High Performance NVMM File Systems

—Emerging Non-Volatile Main Memories (NVMMs) provide persistent storage and can be directly attached to the memory bus, which allows building ﬁle systems on non-volatile main memory (NVMM ﬁle systems). Since ﬁle systems are built on memory, NUMA architecture has a large impact on their performance due to the presence of remote memory access and imbalanced resource usage. Existing works migrate thread and thread data on DRAM to solve these problems. Unlike DRAM, NVMM introduces extra latency and lifetime limitations. This results in expensive data migration for NVMM ﬁle systems on NUMA architecture. In this paper, we argue that NUMA-aware thread migration without migrating data is desirable for NVMM ﬁle systems. We propose NThread, a NUMA-aware thread migration module for NVMM ﬁle system. NThread applies what-if analysis to get the node that each thread performs local access and evaluate what resource contention will be if all threads access data locally. Then NThread adopts migration based on priority to reduce NVMM and CPU contention. In addition, NThread also considers CPU cache sharing between threads for NVMM ﬁle systems when migrating threads. We implement NThread in state-of-the-art NVMM ﬁle system and compare it against existing NUMA-unaware NVMM ﬁle system ext4-dax, PMFS and NOVA. NThread improves throughput by 166.5%, 872.0% and 78.2% on average respectively for ﬁlebench. For running RocksDB, NThread achieves performance improvement by 111.3%, 57.9%, 32.8% on average.
The Influence of Competence and Leadership on The Accountability of Village Financial Management in South Sulawesi Province

- This study aims to test and analyze the ompetence and accountability leadership of village financial management in South Sulawesi Province. This study uses a quantitative approach. This research was conducted at the village office in South Sulawesi Province. The object under study is the village apparatus. The data were obtained using a survey method. The instrument used was a questionnaire. The sample is 367 respondents. Sampling was done by using a convenience sampling technique. Data were analyzed using structural equation modeling (SEM) processed with SmartPLS software. The results showed that there were a positive effect and accountability of village financial management. Leadership has a positive effect on the accountability of village financial management.
Solar Simulator on the Basis of Powerful Light-Emitting Diodes

The Article describes the construction design and experimental results of the Solar Simulator, based on powerful LEDs with different radiation spectrum. There was established that the block from 25 light-emitting diodes provides radiation intensity sufficient for carrying-out of AM1.5G standard requirements. Fine tuning of the resultant spectrum and the required illumination for all radiation spectral components were obtained through light-emitting diodes current control.
D IFFERENTIATION OF THE S ELF , C OUPLES ’ I NTIMACY , AND M ARITAL S ATISFACTION : A S IMILAR M ODEL FOR P ALESTINIAN AND J EWISH M ARRIED C OUPLES IN I SRAEL

This study compares Palestinian and Jewish married couples in Israel on the importance of differentiation of the self (DS) and couples’ intimacy to marital satisfaction. A comparison of both societies’ cultures was conducted on the continuum of individualism and collectivism. Data collection was unique due to the participation of both married partners. The sample included 167 married couples from central and northern Israel. Data analysis was guided by two interlocking strategies: analysis of each spouse separately and dyadic analysis (actor-partner interdependence model, APIM) of the couples as units. The findings situate the diversely perceived intimacy of couples and DS as more important to marital satisfaction than social-cultural variables. Even though Palestinian and Jewish married couples were rated differently on both scales of DS and couples’ intimacy, their scores on marital satisfaction were similar. In addition, Palestinian and Jewish couples held different tendencies of both traits of individualism and collectivism, but these tendencies inter-acted similarly with other study variables, making the model similar for both (i.e., correlations were in the same direction). Our analysis differs from studies conducted elsewhere in the world with couples and supports Bowen’s theory concerning DS as universal. These results have several implications that may contribute to the edification of clinical therapists, improved development of services, and the practice of culturally sensitive therapy in the treatment of Palestinian and Jewish couples. This research may also help Western-oriented therapists for couples and families to better tailor their methodologies to the distinct characteristics of these national groups. Furthermore, the findings may shed new light on
The XXL Survey

Context. To investigate the nature of the extragalactic radio sources, it is necessary to couple radio surveys with multiwavelength observations over large areas of the sky. The XMM-Newton Extragalactic (XXL) survey is the largest survey ever undertaken with the XMM-Newton X-ray telescope over two separate fields of 25 deg2 each (XXL-N and XXL-S). At the same time the XXL survey benefits from a wealth of ancillary data spanning from the far-ultraviolet to the mid-infrared. Aims. In this paper we present the optical, near-infrared (NIR), and X-ray identifications of the 6287 radio sources detected in the 2.1 GHz deep radio survey down to a median rms of σ ≈ 41 μJy beam−1 obtained with the Australia Telescope Compact Array (ATCA) in the XXL-S field. The goal of this paper is to provide a multiwavelength catalogue of the counterparts of the radio sources to be used in further studies. Methods. For the optical and NIR identification of the radio sources, we used the likelihood ratio (LR) technique, slightly modified in order to take into account the presence of a large number of relatively bright counterparts close to the radio sources. The LR technique was applied to seven optical bands (gBCS, gDec, rBCS, rDec, iBCS, iDec, zDec) and to three NIR bands (J, H, K). Results. The ten different photometric catalogues have been combined into a single master catalogue where all the photometric information in the optical, NIR, and X-ray bands have been collected for the counterparts of the radio sources. This procedure led to the identification of optical/NIR counterparts for 4770 different radio sources (~77% of the whole radio sample), 414 of which also have an X-ray counterpart. This fraction of identification is in agreement with previous radio-optical association studies at a similar optical magnitude depth, but is relatively low in comparison to recent work conducted in other radio fields using deeper optical and NIR data. Conclusions. The analysis of optical and NIR properties of radio sources shows that, regardless of the radio flux limit of a radio survey, the nature of the identified sources is strongly dependent on the depth of the optical/NIR used in the identification process. Only with deep enough optical/NIR data will we be able to identify a significant fraction of radio sources with red (zDec-K) counterparts whose radio emission is dominated by nuclear activity rather than starburst activity.
Determinants of Exclusive Breastfeeding Practice among Mothers Attending Infant Welfare Clinic in Obafemi Owode Primary Health Centres, Ogun State, Nigeria

: Exclusive breastfeeding is one of the strategies to improve nutritional status and growth in children. This is due to the fact that feeding infant exclusively with breastmilk only for the first six months of life avert major causes of neonatal illnesses and death. Hence, the main objective of this study is to examine the determinants of exclusive breastfeeding practice among mothers attending infant welfare clinic, in Obafemi Owode Primary health centers Ogun State. The study adopted a descriptive survey research design and multistage sampling technique was used for the study. The sample consisted of 420 respondents’ selected using convenient sampling technique. The instrument used for data collection was a self-developed structured questionnaire with reliability index of 0.78. Data collected were analysed using percentages, frequencies, chi-square and regression. The result shows high level of respondent knowledge 285 (67.9%) about EBF, 292 (69.5%) of the respondents has positive attitude while 333(50.9%) demonstrated good practice of exclusive breastfeeding. Determinants of exclusive breastfeeding practice identified from the study were knowledge, attitude and cultural practices. The finding further revealed that there is a statistically significant relationship between level of knowledge, attitude, cultural beliefs of respondents and practice of EBF with p- value of 0.000 at 0.05 level of significance. In conclusion, there is need for nurses and midwives to always evaluate mothers knowledge about and attitude towards exclusive breastfeeding during antenatal visit and encourage continuous education and reiteration of the benefits of exclusive breastfeeding at every point of contact with the mothers to improve EBF practice.
Obtaining Approximately Admissible Heuristic Functions through Deep Reinforcement Learning and A* Search

Deep reinforcement learning has been shown to be able to train deep neural networks to implement effective heuristic functions that can be used with A* search to solve prob- lems with large state spaces. However, these learned heuristic functions are not guaranteed to be admissible. We introduce approximately admissible conversion , an algorithm that can convert any inadmissible heuristic function into a heuristic function that is admissible in the vast majority of cases with no domain-speciﬁc heuristic information. We apply approxi- mately admissible conversion to heuristic functions parameterized by deep neural networks and show that these heuristic functions can be used to ﬁnd optimal solutions, or bounded suboptimal solutions, even when doing a batched version of A* search. We test our method on the 15-puzzle and 24-puzzle and obtain a heuristic function that is empirically ad- missible over 99.99% of the time and that ﬁnds optimal solutions for 100% of all test conﬁgurations. To the best of our knowledge, this is the ﬁrst demonstration that approximately admissible heuristics can be obtained using deep neural net- works in a domain independent fashion.
Rollover risk prediction of heavy vehicles by reliability index and empirical modelling

ABSTRACT This paper focuses on a combination of a reliability-based approach and an empirical modelling approach for rollover risk assessment of heavy vehicles. A reliability-based warning system is developed to alert the driver to a potential rollover before entering into a bend. The idea behind the proposed methodology is to estimate the rollover risk by the probability that the vehicle load transfer ratio (LTR) exceeds a critical threshold. Accordingly, a so-called reliability index may be used as a measure to assess the vehicle safe functioning. In the reliability method, computing the maximum of LTR requires to predict the vehicle dynamics over the bend which can be in some cases an intractable problem or time-consuming. With the aim of improving the reliability computation time, an empirical model is developed to substitute the vehicle dynamics and rollover models. This is done by using the SVM (Support Vector Machines) algorithm. The preliminary obtained results demonstrate the effectiveness of the proposed approach.
Cranial Computed Tomographic Findings in Children with Hydrocephalus in Sokoto North Western Nigeria

Background: Hydrocephalus is a condition in which excess fluid accumulates in the brain resulting in dilatation of the ventricles. The prognosis of hydrocephalus depends on the cause and severity of the condition. Computed tomography (CT) is one of the imaging modalities used for diagnosis and evaluation of treatment options as well as for follow up and monitoring of the patients. Aim and Objectives: This study is aimed at documenting CT findings of hydrocephalus in children at Usmanu Danfodiyo University Teaching Hospital (UDUTH) Sokoto with specific objectives of determining the common causes of hydrocephalus and comparing the incidence of congenital and acquired hydrocephalus. Materials and Methods : This was a four-year retrospective study of 100 consecutive children with clinical and/or Computarized Tomographic (CT) diagnosis of hydrocephalus who had CT scan at the Radiology Department of UDUTH Sokoto, North Western Nigeria. Data and the images were retrieved from the departmental archives and patient‟s case folders. These data regarding the demographics of patients, clinical history and examination, cranial CT findings and radiological measurements were entered into the proforma. Data was analyzed using SPSS statistical software package version 20. Results : The age range of patients was from 5 days to 14 years with male/female ratio of 1.6:1. Congenital hydrocephalus accounted for 54% while acquired hydrocephalus occured in 46%. Non communicating hydrocephalus was the predominant form of hydrocephalus accounting for 59% while communicating hydrocephalus occured in 41% of patients. Aqueductal stenosis (32%) was the commonest cause of hydrocephalus followed by post meningitic hydrocephalus (22%) and intracranial tumours (16%) respectively. Conclusion: This study shows that congenital hydrocephalus is the predominant type in the study population. Aqueductal stenosis was the commonest cause of hydrocephalus.
Firm Balance Sheet Liquidity, Monetary Policy Shocks, and Investment Dynamics∗

This paper evaluates the role of firms’ balance sheet liquidity in the transmission of monetary policy to investment. I estimate that in response to contractionary monetary policy shocks, both firms with higher leverage or with fewer liquid assets reduce investment relative to others. However, controlling for liquid assets, leverage loses its significance in explaining such heterogeneity while liquid assets remain important conditional on leverage. To explain these results, I introduce fixed issuance costs on long-term debt financing in an otherwise conventional general equilibrium model of heterogeneous firms and borrowing constraints. In the calibrated model, balance sheet liquidity predicts investment sensitivity to corporate debt rates better than leverage. Fixed issuance costs give rise to relatively wealthy firms who are not borrowing constrained but exhibit large marginal propensities to invest out of liquid income. This can considerably amplify the aggregate effects of shocks and policies which affect firms’ cash flows.
Enhanced Distance Vector Hop Localization Algorithm based on Hop Threshold and Weighted Matrix for Wireless Sensor Networks

: The Distance Vector Hop (DV-Hop) algorithm is a frequently used localization method, which is widely applied in location-based applications for its implement-efficient. However, it has poor localization accuracy, especially in complex unevenly distributed network environment. This study proposed an enhanced range-free localization scheme based on hop threshold and weighted matrix to address this issue, named as TWDV-Hop. First, we build considerable experiments to analyze the distributed law between hop count and average hop size error. Large hop count will be cut out to optimize average hop size based on analysis results, since it is the main reason that led to large location error for its inaccuracy. Then, weighted matrix is introduced to instead of basic least squares in the third phase to narrow location error brought by non-linear equation. Finally, extensive experiments were conducted for several evaluation metrics, as localization accuracy, energy consumption cost under effected parameters in terms of anchor node density, communication range etc. Simulation results demonstrated the TWDV-Hop algorithm had outstanding performance in accuracy and energy consumption. The localization error is decreased more than 60%, when compared with latest new literatures. Especially, the maximum reduction localization error reached up to 75%. Moreover, the average localization error is lower 3.5m, which can meet location-based application requirements at a certain level.
XYLEM TO AND AIR POLLUTION

Measurements of xylem sap velocities have been used to assess the influence of atmos pheric conditions and air pollutants on the transpiration of full-grown trees. For a peri od of four months sap velocities of oak, beech and Douglas fir were measured on an hourly basis using the heat-pulse technique. Simultaneously, concentrations of S02, NO, N02 and 03 were measured along with air temperature, light intensity, air hurnidity, pre cipitation, wind speed and wind direction. To analyse these time series, a technique is intro duced which can handle time-dependent re lations: the stochastic response model. This statistical model is a submodel of the dass of structural models and is estimated by means of the KaIman filter. The influence of weath er conditions on heat-pulse velocities (HPV) is prevailing: 80% of the variance is explain ed by the single variable vapour pressure deficit. No influence of gaseous pollutants on HPV could be assessed. Possible explana tions are discussed.
The Psy on of You en With A pregnant women is very important for pregnant women. The level of trust and confidence in doctors, the level

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Extralinguistic Consultation in English–Chinese Translation: A Study Drawing on Eye-Tracking and Screen-Recording Data

Both linguistic and extralinguistic consultations are essential in translation practice and have been commonly investigated as an integral topic in previous studies. However, since extralinguistic information is usually longer in extent and not specifically designed for a linguistic purpose, extralinguistic consultations involve different search strategies compared with linguistic consultations. Drawing on eye-tracking and screen-recording data, this study compares linguistic and extralinguistic consultations in terms of cognitive resources allocation and information processing patterns in English–Chinese translation. It also explores the differences among 17 language learners, 20 student translators, and 21 professional translators, and the effect of extralinguistic consultation on their translation quality. The findings are as follows: (1) all participants allocate more attention and lower cognitive load to extralinguistic consultations than to linguistic consultations; (2) participants’ translation experience levels and their attention allocated to extralinguistic consultation show an inverted U-shaped relationship; and (3) participants who consult extralinguistic information before drafting or devote more attention to extralinguistic consultation produce target texts with significantly higher scores.
The Acceptance Factors and Effectiveness of MOOC in the Blended Learning of Computer Architecture and Organization Course

This study examined the effectiveness of MOOC in the blended learning of Computer Architecture and Organization course based on the integration of online learning using MOOC and face-to-face learning. Specifically, the aim of the study was to identify factors that could influence student acceptance of MOOC in terms of immersion (IM) and intention to use (BIU) based on the HMSAM model. The students were divided into two groups with different percentage of using MOOC in learning for one semester but they were taught by the same lecturer. Simple random sampling was carried out to recruit the study sample comprising 168 undergraduates from a population of 298 students. They were administered with an online questionnaire using Google Form on the final week of the semester assisted by research assistant. Pearson correlation analysis was performed on the survey data that showed joy, control, perceived usefulness and curiosity were significantly correlated with IM . Likewise, the same bivariate correlation analysis showed perceived usefulness, joy and curiosity were significantly correlated with BIU . Furthermore, ANOVA and multiple regression analysis showed control, perceived usefulness, joy and curiosity were predictors of student acceptance in terms of IM and 33% of IM variances can be predicted by control, perceived usefulness, joy and curiosity . Similarly, both analyses showed that the same constructs were significant predictors of student acceptance in terms of BIU and 22% of BIU variances also can be predicted by the same constructs. In addition, an independent t-test carried out indicated that the effectiveness of MOOC in the blended learning was significantly lower than non-blended learning if it was used up to 71% and the effectiveness will be increased if only 29% of MOOC was used in the non-blended learning. This finding suggests that the proportion of learning based on online and face-to-face mode should be carefully apportioned. Overall, this study shows that MOOC is a potent platform for blended learning, but its effectiveness relies on appropriate division of learning between online and face-to-face mode.