Miracle-dz/UniFAR-FTUs huggingface dataset:
İstanbul Menkul Kıymetler Borsası’nda haftanın günü etkisi ve Ocak ayı anomalilerinin ARCH-GARCH modelleri ile test edilmesi

This study investigates the presence of calendar anomalies, particularly January and dayof-the-week anomalies on the daily returns at Istanbul Stock Exchange (ISE). Although there is a vast number of studies on these anomalies which are contrary to the Efficient Market Hypothesis as one of the main theories in finance literature, very few studies covering the whole operation period of ISE from 1987 until today and utilizing GARCH models to test for the anomalous stock market behavior, have been the starting point of this reseach. The research spans the whole period of July 3 1987-July 18 2008 and uses 5157 daily data; and the empirical study applies GARCH (1,1) model, with one lag return series in the mean equation of ISE-100 Index. The results prove that the daily returns of ISE-100 in January do not show a statistically significant difference from other months. For the day-of-the-week anomalies, statistics indicate that ISE-100 daily returns on Fridays are higher than the average as compared to other days, while returns on Mondays are lower.
UHDB 11 Database for 3 D-2 D Face Recognition

Performance boosts in face recognition have been facilitated by the formation of facial databases, with collection protocols customized to address challenges such as light variability, expressions, pose, sensor/modality differences, and, more recently, uncontrolled acquisition conditions. In this paper, we present database UHDB11, to facilitate 3D-2D face recognition evaluations, where the gallery has been acquired using 3D sensors (3D mesh and texture) and the probes using 2D sensors (images). The database consists of samples from 23 individuals, in the form of 2D high-resolution images spanning six illumination conditions and 12 head-pose variations, and 3D facial mesh and texture. It addresses limitations regarding resolution, variability and type of 3D/2D data and has demonstrated to be statistically more challenging, diverse and information rich than existing cohorts of 10 times larger number of subjects. We propose a set of 3D-2D experimental configurations, with frontal 3D galleries and poseillumination varying probes and provide baseline performance for identification and verification (available at http://cbl.uh.edu/URxD/datasets).
Improving the Accuracy of Static Source Code Based Software Change Impact Analysis Through Hybrid Techniques: A Review

Change is an inevitable phenomenon of life. This inevitability of change in the real world has made a software change an indispensable characteristic of software systems and a fundamental task of software maintenance and evolution. The continuous evolution process of software systems can greatly affect the systems’ quality and reliability if proper mechanisms to manage them are not adequately provided. Therefore, there is a need for automated techniques to effectively make an assessment of proposed software changes that may arise due to bug fixes, technological advancements, changing user requirements etc., before their implementation. Software Change Impact Analysis (CIA) is an essential activity for comprehending and identifying potential change impacts of software changes that can help prevent the system from entering into an erroneous state. Despite the emergence of different CIA techniques, they are yet to reach an optimal level of accuracy desired by software engineers. Consequently, researchers in recent years have come up with hybrid CIA techniques which are a blend of multiple CIA approaches, as a way of improving the accuracy of change impacts analysis techniques. This study presents these hybrid CIA techniques and how they improve accuracy. They are also compared and areas for further research are identified.
CCEM-K 2 Key Comparison of 10M and 1G Resistance Standards

An international comparison of dc resistance at 10 M and 1 G was organized under the auspices of the Consultative Committee for Electricity and Magnetism (CCEM) and piloted by the National Institute of Standards and Technology (NIST) with 14 other national metrology institutes (NMIs) participating. The transport standards were measured by the participating NMIs during a three-and-a-half year period beginning August 1996 and concluding March 2000. The transport standards used for this comparison were a set of three wirewound 10-M standard resistors and three film-type 1-G standard resistors, all packaged at NIST for this key comparison. The comparison demonstrated that all participating NMIs agree with the key comparison reference value at 10 M and 1 G within the 95% confidence level.
The problem of unintelligibility in OT semantics

En se situant dans le cadre de la theorie de l'optimalite (OT), l'A. examine des types d'enonces particuliers qui n'ont pas de sens, quand une expression syntaxiquement bien construite n'obtient pas une interpretation heureuse. Il nomme ce probleme l'inintelligibilite, qui est pour lui la contrepartie naturelle du probleme de l'ineffabilite de l'OT. L'analyse de ce type de constructions syntaxiques suggere que l'inintelligibilite apparait seulement quand des significations inconsistantes font partie de paire significatives formelles faiblement super-optimales.
Chapter 2 17 β-Estradiol as a Neuroprotective Agent Katalin Prokai-Tatrai and Laszlo Prokai

The pathophysiology of neurodegeneration in the central nervous system is complex and multifactorial in nature and yet to be fully understood. Broad-spectrum neuroprotective agents with multiple mechanisms of action rather than a single druggable target are, therefore, highly desirable. The main human estrogen, 17β-estradiol, can also be considered a neurosteroid as it forms de novo in the central nervous system, and it possesses beneficial effects against practically all critical contributors to neurodegeneration to collectively thwart both the initiation and the progression of neuronal cell death. This chapter details the main aspects of the hormone’s genomic and non-genomic actions important to protect the highly vulnerably neurons of the central nervous system, as well as translational efforts to successfully realize its powerful neuroprotective potential in clinical setting while ensuring both therapeutic safety and efficacy.
Positivity Rate as a Performance Indicator for COVID-19 Response in Edo State, Nigeria

Background: Positivity rate is a very reliable indicator in determining the effectiveness of public health interventions of infectious disease magnitude. Aim: To use positivity rate as performance indicator of effectiveness of COVID-19 Control measures in Edo State, Southern Nigeria. Materials and Methods: Laboratory based record review of 20,220 Polymerase Chain Reaction (PCR) based laboratory results from COVID-19 line-list analysed from the four (4) NCDC accredited molecular laboratory within Edo State. The weekly COVID-19 test positivity was computed in relation to the total samples tested between 23rd March to 30th November, 2020. Data collected were analysed using IBM SPSS version 20.0 software with statistical significance set at p˂0.050 and 95% Confidence Interval. Results: A total of 20,220 PCR results reviewed with 2696 (13.3%) COVID-19 cases identified while 17,524 (86.7%) were negative. The average weekly sample collection and testing was 552.28 ± 369.98, with average weekly COVID-19 case yield and positivity rate (%) of 77.89 ±106.23 and 12.20±13.75% respectively. A statistically significant positive correlation was identified between sample tested and COVID-19 case yield (R = 0.569; < 0.01). The first wave of the COVID-19 in Edo State witnessed a consistent and progressive decline in test positivity rate till it deepened at 0.6 % by the end of November, 2020. Conclusion: Increasing sample testing has significant positive correlation with COVID-19 case detection in Edo State. Positivity rate was a good indicator to monitor COVID-19 outbreak response in Edo State. Targeted surveillance and sample collection for testing can significantly help improve the quality and case yield during epidemic outbreak response. Bridging the gap in sample collection for testing can greatly influence how quickly an epidemic outbreak response and control is achieved.
The boreal summer zonal wavenumber-3 trend pattern and its connection with surface enhanced warming

The Northern Hemisphere warms faster under global warming and suffers from more frequent heatwaves, causing considerable social and economic damage. The Northern Hemisphere surface warming exhibits strong regionality, with multiple “hotspots” (enhanced warming), but the relations among them remain unclear. This study finds a dominating zonal wavenumber-3 (ZW3) trend pattern in the upper-level geopotential heights during the boreal summer. The summer geopotential heights show significant increasing trends along the latitudinal circle around 60°N, with three centers located over northeastern America, western Eurasia, and eastern Siberia. The regionally enhanced surface warming trends are closely linked to the increased geopotential through the reduced cloud cover, exhibiting a consistent ZW3 pattern. The model simulations forced by sea surface temperature (SST) and Arctic sea ice (SIC) indicate that the SST forcing plays an important role in generating the ZW3 pattern, while the contribution of the SIC is minimal. A theoretical barotropic model can fairly reproduce the observed ZW3 structure forced by a heating source located over the subtropical North Atlantic, where the SSTs show prominent warming trends and a close relationship with the ZW3 pattern. Our results indicate that the “hotspots” may be interconnected and are related to a Rossby wave train with a ZW3 structure. It highlights a vital role of tropical/subtropical SSTs on the atmospheric circulation and the associated surface enhanced warming over the mid-high latitudes, which may have great implications in the coordinated heatwave events and tropical-extratropical teleconnections.
On levy-walk model for correlations in spatial galaxy distribution

One of important problems complicating the extraction of information from cosmological surveys, is necessity to supplement observational data subtracted of foreground or for some (i.e. technical) reasons removed from the survey. This particularly affects the extraction of information from the largest observable scales. Maximum-likelihood estimators are not quite applicable for reconstructing the full-sky because of non-Caussian character of observed matter distribution. To solve this problem, many authors modify implementations of such estimators which are robust to the leakage of contaminants from within masked regions. The trouble arises from the need to satisfy the cosmological principle of an arbitrary choice of the reference frame and long-distant correlations in spatial galaxy distribution observed. We are going to discuss here one а such approach and to show some results of its application. The discussion about homogeneity (or inhomogeneity) of the large-scale visible matter distribution in the Universe is attracting the attention of both the astronomers and theoreticians of cosmology.1–4 In recent years the more complete and deeper galaxy surveys become available,5,6 however, this does not eliminate the question about fractality of the large-scale structure. The fractal concept, introduced by Mandelbrot,7 applied to the galaxy distribution means the presence of the overdence regions and voids extending to all scales, at least to those could be reached by now. Mathematically, it formulates as
A 'water spout' maser jet in S235AB-MIR

We report on annual parallax and proper motion observations of H2O masers in S235ABMIR, which is a massive young stellar object in the Perseus Arm. Using multi-epoch VLBI (very long baseline interferometry) astrometry we measured a parallax of π = 0.63 ± 0.03 mas, corresponding to a trigonometric distance of D = 1.56 +0.09 −0.08 kpc, and source proper motion of (μαcos δ, μδ) = (0.79 ± 0.12, −2.41 ± 0.14) mas yr −1 . Water masers trace a jet of diameter 15 au which exhibits a definite radial velocity gradient perpendicular to its axis. 3D maser kinematics were well modelled by a rotating cylinder with physical parameters: vout = 45 ± 2kms −1 , vrot = 22 ± 3kms −1 , i = 12 ◦ ± 2 ◦ , which are the outflow velocity, tangential rotation velocity and line-of-sight inclination, respectively. One maser feature exhibited steady acceleration which may be related to the jet rotation. During our 15-month VLBI programme there were three ‘maser burst’ events caught ‘in the act’ which were caused by the overlapping of masers along the line of sight.
Completely Distributed Time-Varying Formation Target Tracking for Quadrotor Team via Image-Based Visual Servoing

In this article, the completely distributed adaptive time-varying formation target tracking control problem for quadrotor team via image-based visual servoing is addressed. An adaptive cascade formation controller is proposed, which consists of a trajectory tracking controller, an attitude controller, and an image-based visual servoing controller. All the controllers consist of a nominal part to achieve the desired performance and a robust part to retrain the influence of parameter uncertainties and external disturbance. The robust properties of the closed-loop control system are proven via the theoretical analysis. Moreover, the simulation results validate the effectiveness of the proposed formation tracking control protocol in this paper.
D deconvolution of hyperspectral astronomical data

In this paper we present a general method for multichannel image restoration based on regularized χ2. We introduce separable regularizations that account for the dynamics of the model and take advantage of the continuities present in the data, leaving only two hyper-parameters to tune. We illustrate a practical implementation of this method in the context of host galaxy subtraction for the Nearby SuperNova Factory (SNfactory). We show that the image restoration obtained fulfils the stringent requirements on bias and photometricity needed by this programme. The reconstruction yields sub-per cent integrated residuals in all the synthetic filters considered both on real and simulated data. Even though our implementation is tied to the SNfactory data, the method translates to any hyper-spectral data. As such, it is of direct relevance to several new generation instruments like MUSE. Also, this technique could be applied to multiband astronomical imaging for which image reconstruction is important, for example, to increase image resolution for weak-lensing surveys.
Prioritizing Green Spaces for Biodiversity Conservation in Beijing Based on Habitat Network Connectivity

Rapid urbanization results in changes in land use, biogeochemical cycles, climate, hydrosystems, and biodiversity. Policy-makers have formulated ecological protection measures to facilitate sustainable development. However, traditional conservation planning mainly focuses on protecting specific green spaces, with limited consideration of the connectivity among green spaces from a habitat network perspective. Using citizen science data and occupancy modelling, we predicted habitat suitability, built habitat networks and identified key habitat patches based on their contribution to the functional connectivity of the habitat network for three focal water, forest, and open-habitat bird species. Based on the habitat requirement, small waterbodies and intermediate forest and open-habitat cover facilitate preserving water, forest and open-habitat birds. In regards to the network analysis, we found that key habitat patches with a high conservation priority were generally characterized by a relatively large patch size and/or located at critical positions in the habitat network (at central positions in the habitat network, or near large patches). We suggest that key habitat patches in restricted built-up areas are converted to protected areas or are kept as cropland under future urban planning. We emphasize the usefulness of the focal species concept in urban biodiversity conservation. Our study offers conservation recommendations from a habitat network perspective for urban planners to safeguard urban biodiversity and ecosystem health.
Track Reconstruction For LHCB

In this note we describe the track reconstruction for LHCB. We apply a Kalman lter technique both for track tting and for track nding tasks. We demonstrate that the t gives track parameters with correct errors. We then use the track reconstruction to nd optimal positions for the location of tracking stations in the detector. For the nal chosen setup we discuss performance numbers on track momentum and vertex position measurements, and for the invariant mass resolution of the Ds and B 0 mesons.
Magnet Hospitals Attraction and Retention of Professional Nurses ( The Original Study )

The hospital nursing shortage poses a serious threat to the health and welfare of this nation. Since sufficient numbers of professional nurses are essential if hospitalized patients and their families are to receive quality care, and since nurses provide 95% of the care that patients receive while hospitalized (American Hospital Association, n.d.), these essential care needs will not continue to be met unless hospitals can solve the “nursing shortage problem” – that is, their inability to attract and retain competent, experienced professional nurses. Over 20 years ago, Linda H. Aiken succinctly described the scope of the problem as it existed in the early 1980s:
Teacher development and evaluation: a study of policy and practice in Colorado

This study undertook an investigation of policy and practice related to teacher evaluation and development among Colorado school districts. A conceptual analysis was applied to a sample of teacher evaluation policies and process materials from 30 school districts. The study was based on policy objectives stipulated in state statute and best practice as reported in the literature. Results of the study show little relationship to teacher development and an emphasis in the policies and processes toward summative evaluations. Student outcomes received modest attention while the processes of teacher evaluation seemed de-contextualised to other school district systems.
Growth, primary metabolites, and cell morphogenesis of Scenedesmus opoliensis in response to zinc oxide nanoparticles stress

Zinc oxide nanoparticles (ZnO-NPs) are widely used in industrial and agricultural applications in addition to cosmetic products. However, the extensive use of ZnO-NPs can impose serious environmental problems on the aquatic ecosystem. So far, the hazardous impact of ZnO-NPs on phytoplankton is not well studied. Among myriad aquatic microorganisms, microalgae are sensitive indicators for water pollution. The current study investigated the toxic effects of different concentrations of ZnO-NPs (10-200 mg/L) on growth, metabolic profile, and morphology of the green microalga, S. opoliensis. The results revealed that ZnO-NPs significantly decreased cell growth, chlorophyll-a (Chl-a), and carbohydrate content with a concentration-dependent manner. In contrast, the protein and lipid contents were progressively increased after ZnO-NPs treatment compared to the control condition. The morphological examinations revealed obvious changes in the microalgal cell particularly at high ZnO-NPs concentrations. The present study provides a new report on the ecotoxicology of ZnO-NPs contamination on the aquatic ecosystem and highlights its toxic impact on S. opoliensis.
Design and Implementation of A Memory Allocator to Achieve Cache Partitioning in the Linux Kernel

Predictability is one of the key properties of hard real-time systems. A system is predictable when it is possible to guarantee in advance that the timing constraints of all the tasks in the system will be met. Achieving predictability on modern multi-core systems is, however, very challenging, mainly due to shared architectural resources, such as cache memories. It has been shown that the interference caused by a shared cache can increase the task execution time by up to 40%, with even higher delay spikes that are hard to predict. The problem of mitigating the effects of cache interference has received much attention in the real-time systems community. A popular and effective approach is a software cache-partitioning technique called page coloring. With page coloring, memory is partitioned into colors. Assigning different colors to different tasks avoids cache interference between the tasks, as they do not contend for the same cache partitions. Therefore, the tasks are spatially isolated in cache. Various uses of page coloring have been proposed in the literature. However, the existing implementation efforts only take into account single page requests and do not isolate kernel processes, which can still interfere with other tasks. Conversely to previous works, this thesis targets both user-space and kernel memory. The objective of this work is to provide insights into the design and implementation of a page coloring solution for the latest Linux PREEMPT-RT kernel. The proposed implementation supports both single-page and multiple-page allocation schemes. Experimental results show significant improvements in task isolation, as our solution reduces the effects of cache interference. Interference affecting worst-case execution times is decreased from 14.6% to a maximum of 4.4%.
Image Quality and Radiation Dose of CT Coronary Angiography with Automatic Tube Current Modulation and Strong Adaptive Iterative Dose Reduction Three-Dimensional ( AIDR 3 D )

Citation Shen, Hesong, Guochao Dai, Mingyue Luo, Chaijie Duan, Wenli Cai, Dan Liang, Xinhua Wang, Dongyun Zhu, Wenru Li, and Jianping Qiu. 2015. “Image Quality and Radiation Dose of CT Coronary Angiography with Automatic Tube Current Modulation and Strong Adaptive Iterative Dose Reduction Three-Dimensional (AIDR3D). ” PLoS ONE 10 (11): e0142185. doi:10.1371/journal.pone. 0142185. http://dx.doi. org/10.1371/journal.pone. 0142185.
Fiscal Theory of Price Level: A Panel Data Analysis for selected Saarc Countries

I compare the two alternative paradigms of business cycles for the case of the Romanian eThis paper examines the validity of fiscal theory of price level in the five selected SAARC countries, namely Bhutan, India, Nepal, Pakistan and Sri Lanka by using panel data analysis for the period 1990-2009. Specification tests, i.e. F-test and Hausman test indicate that the fixed effect model can be considered as the best model to examine the relationship between budget deficit and price level. Empirical findings also show that budget deficit is significant and negatively related with the price level in pooled least square, while fixed and random effect model explain that the budget deficit has no role in explaining the given scenario. The GDP per capita is positively and highly significant in all of the models, while openness is explaining its role in reducing the price level in the specified set of countries. The additional robustness tests are also performed to test the validity of results of the model. After removing the variable, i.e. GDPPC from the fixed effect model, the budget deficit (BD) significantly impacts on the SAARC price level. Our findings substantiate that fiscal theory of price level is not valid in the selected SAARC countries. This study opens new dimensions for policy planners, government agencies, NGO’s and other donor agencies working in the SAARC region.
Optical Channel Access Security based on Automatic Speaker Recognition

A robust optical channel access system based on a speaker identiﬁcation authentication is proposed and demonstrated in this paper. The solution also enables optical access with remote speaker identiﬁcation. A set of speech features and classiﬁers were deﬁned to achieve the best recognition rates for local and remote optical access. The experiments showed the feasibility and importance of using the biometric technology for the optical communications security.