Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on the Transfer Rules of Internet Users’ Negative Emotional State in Financial Public Opinion

As the rapid development of internet and the booming of financial market in China, the study of extracting the emotional state of netizens from financial public opinions and using it for quantitative investment analysis has drawn a lot of attention. Because of the limitation of datasets scale, quantitative investment analysis based on financial public opinion has some unsolved problems in the research of financial analysis, such as the results cannot predict the stock price in real stock markets. Based on the long-short-term memory network in deep learning, the proposes study combined with the theory of herding effect in behavioral finance, this paper designs an emotional classification model for netizens’ comments on social media, interpret emotional state transaction of netizens through sentiment analysis, forming an investor’s emotional states’ transfer model, and incorporating the emotional states as a factor into the stock price-forecasting model at last. The results show that the investor’s emotional states have a significant impact on stock price volatility. This stock price forecasting method based on sentiment analysis also provides a new technical path for quantitative investment analysis in the financial market.
REGIONAL ECONOMIC CONVERGENCE AND ROLE OF GOVERNMENT: A CASE STUDY ON NUTS 2 REGIONS IN TURKEY

In regard to Neo-classical growth theory, convergence approach assumes that poorer countries’ or regions’ per capita incomes tend to grow at faster rates than richer ones. This study aims to empirically investigate convergence across NUTS 2 regions in Turkey for time period between 2004-2011. We also inquire into role of government in terms of regional investments and fixed investment incentives in convergence process. Due to poor database and absence of up-to-date data in regional level, we used regional gross value added (GVA) per capita instead of regional GDP. All the empirical results obtained by analysis support the regional convergence hypothesis. Also, in context to convergence process, role of government is likely to be decisive to meet the regional economic disparities.
Improved Deep Embeddings for Inferencing with Multi-Layered Graphs

Inferencing with graph data necessitates the mapping of its nodes into a vector space, where the relationships are preserved. However, with multi-layered graphs, where multiple types of relationships exist for the same set of nodes, it is crucial to exploit the information shared between layers, in addition to the distinct aspects of each layer. In this paper, we propose a novel approach that first obtains node embeddings in all layers jointly via DeepWalk on a supra graph, which allows interactions between layers, and then fine-tunes the embeddings to encourage cohesive structure in the latent space. With empirical studies in node classification, link prediction and multi-layered community detection, we show that the proposed approach outperforms existing single-and multi-layered graph embedding algorithms on several benchmarks. In addition to effectively scaling to a large number of layers (tested up to 37), our approach consistently produces highly modular community structure, even when compared to methods that directly optimize for the modularity function.
An Efficient Resource Allocation Algorithm for OFDM-Based NOMA in 5G Systems

Non-orthogonal multiple access (NOMA) has become the key technology in the future 5G wireless networks. It can achieve multi-user multiplexing in the transmit power domain by allocating different power, which can effectively improve the system capacity and spectral efficiency. Aiming at the problem of high computational complexity and improving system capacity in non-orthogonal multiple access (NOMA) based on orthogonal frequency division multiple access (OFDMA) for 5G wireless cellular networks, this paper proposes an improved low complexity radio resource allocation algorithm for user grouping and power allocation optimization. The optimization model is established with the goal of maximizing system capacity. Through the step-by-step optimization idea, the complex non-convex optimization problem is decomposed into two sub-problems to be solved separately. Firstly, all users are grouped based on the greedy method, and then the power allocation is performed on the sub-carriers of the fixed group. Simulation results show that the proposed algorithm has better system capacity than the existing state-of-the-art algorithms and reduced complexity performance.
A COMPREHENSIVE OVERVIEW OF SOFT COMPUTING BASED MPPT TECHNIQUES FOR PARTIAL SHADING CONDITIONS IN PV SYSTEMS

Gunumuzde gunes ya da fotovoltaik enerji yenilenebilir enerji kaynaklari arasinda yaygin olarak kullanilmaktadir. Gunes enerjisi, maliyetsiz, atmosfer dostu, isletme ve bakim maliyetinin az olmasi ve evrensel olarak her yerde bulunmasi gibi avantajlarina ragmen, dusuk enerji verimliligi en buyuk dezavantajidir. Fotovoltaik sistemlerin verimliligini arttirabilmek icin fotovoltaik dizideki moduller maksimum guc noktalarinda calistirilmalidir. Bu nedenle, maksimum guc noktasini tahmin etmek ve izlemek icin maksimum guc noktasi izleme teknikleri kullanilir. Literaturde, maksimum guc noktasi izleme teknikleri genellikle esnek hesaplama ve klasik teknikler olmak uzere siniflandirilir. Ancak, maksimum guc noktasini dogru bir sekilde takip edebildikleri icin esnek hesaplama teknikleri tercih edilmektedir. Bu calismada, gecmisten gunumuze kadar kismi golgeleme kosullarinda esnek hesaplama tabanli maksimum guc noktasi izleme tekniklerinin kapsamli bir derlemesi sunulmustur. Teknikler, fotovoltaik dizi bagimliligi, gereken sensorler, takip verimliligi, takip hizi, algoritma karmasikligi ve maksimum guc noktasi etrafinda salinim durumlari acisindan karsilastirilmistir.
Acute Effect of High-Intensity Interval Cycling on Carotid Arterial Stiffness and Hemodynamics

Background Cardiovascular disease (CVD) contributes to be one of the leading causes of death in the population worldwide. Carotid arterial stiffness and local hemodynamics are associated with the occurrence and development of CVD. Therefore, understanding the alterations of human carotid arterial stiffness and hemodynamics is of great clinical value in the prevention and treatment of CVD. Objective In this study, we aimed to investigate the acute effect of high-intensity interval cycling (HIIC) on carotid arterial stiffness and hemodynamics in sedentary. Methods Thirty volunteered healthy sedentary males were enrolled in this study. HIIC intervention (3 sets, 20 s per set) was performed individually. A color Doppler ultrasound was applied to detect the images of the arterial inner diameters and center-line velocity waveforms at the right common carotid artery at different time points (at rest, 3 min, 15 min, and 30 min) after HIIC. Synchronously, electronic manometer was used to measure the systolic and diastolic pressures at the left brachial artery. Results Arterial stiffness increased and arterial diameter decreased significantly after acute HIIC. The variation in stiffness persisted for 30 min, at least 15 min longer than the change in diameter. At 3 min after exercise, maximum and mean wall shear stresses (WSS) increased and minimum WSS was also higher than the resting value. At 30 min after exercise, WSS returned to the baseline, but oscillating shear index was still higher than the resting value. Conclusions In summary, arterial stiffness and hemodynamics changed significantly not only at 3 min but also at 30 min after acute HIIC.
Investigations of the Friction Losses of Different Engine Concepts. Part 2: Sub-Assembly Resolved Friction Loss Comparison of Three Engines

In this work, friction loss investigations and comparisons of three different four-cylinder engines for passenger car applications are presented, using a recently developed combined approach. By merging extensive experimental with reliable and predictive journal bearing simulation results, a sub-assembly-resolved friction loss analysis of the piston group, crankshaft journal bearings and valve train is conducted for all three engines. The engines have been chosen individually based on their specific power output and crank train geometry. The measurement program covers a wide range of corresponding engine operation points (identical speed, load and thermal boundary conditions). In addition, the investigations are carried out for different engine media supply temperatures ranging from 70 ∘ C to 110 ∘ C for a comprehensive consideration of the friction losses at reduced lubricant viscosity. For reasons of comparability, all investigations conducted in this work have been carried out using the same modern SAE 5W30 lubricant. This is done to exclude influences from different lubricant properties which may have significant effects on the tribological behaviour of the engines’ sub-assemblies. While the diesel engine showed a friction reduction potential over the entire engine operation range when increasing the engine media supply temperatures, the gasoline engines showed a different behaviour. For the gasoline engines, disadvantages arise especially at low engine speeds. By using the developed combined approach, it was possible to assign mixed lubrication regimes at the valve train systems and at the piston groups.
Novel sulfamoylamino-containing cephalosporin derivatives, and their in vitro antibacterial properties

Purpose: To prepare and develop new antibacterial agents with novel molecular structures. Method: A series of novel sulfamoylamino-containing cephalosporin derivatives were synthesized. The in vitro antibacterial effects of the derivatives against Gram-positive bacteria (S. aureus, S. pneumonia and S. epidermidis), and Gram-negative bacteria (E. coli, P. aeruginosa, and K. pneumonia) were investigated. Results: Compounds 13a and 13b exhibited excellent antibacterial effects against all the Gram-positive and Gram-negative bacteria tested, when compared with other cephalosporin derivatives. Conclusion: Of these new cephalosporin derivatives, compounds 13a and 13b show the most potent antibacterial activity and would need to be further investigated.
INTERNATIONAL FOOD & AGRIBUSINESS MANAGEMENT ASSOCIATION

50-100 words) Sustainable products are increasingly attractive to consumers due to rising crude oil prices and a growing environmental awareness. Against this background it has been analysed to what extent consumers living in Germany, the Netherlands and Sweden are willing to spend money for juice packed in a bioplastic bottle. In this context consumers` willingness to pay has been investigated by discrete choice experiments. By integrating other variables such as consumer attitudes or sociodemographics, respondents were characterized using latent class analyses showing that the highest willingness to pay for these products was found among participants with e.g. positive attitudes towards environmental protection and their own health.
A multiple factor model for European stocks Working

We present an empirical study focusing on the estimation of a fundamental multi-factor model for a universe of European stocks. Following the approach of the BARRA model, we have adopted a cross-sectional methodology. The proportion of explained variance ranges from 7.3% to 66.3% in the weekly regressions with a mean of 32.9%. For the individual factors we give the percentage of the weeks when they yielded statistically significant influence on stock returns. The best explanatory power – apart from the dominant country factors – was found among the statistical constructs „success“ and „variability in markets“.
Farm diversification – a target of the Common Agricultural Policy?

Further coordination between the EU funds and policies is increasingly called for such that the territorial aspects would be included as the major element into the future policies. It is often argued that the farms are key actors in preserving rural livelihood. Since the farms have become more efficient and thus they need less labour input per output, the farm diversification could be a possible future direction. Hence, the family farm structure could be maintained simultaneously as the farm productivity could be increased through improved factor efficiency. In this paper, farm diversification is considered in a framework of regional development such that reallocation of agricultural subsidies from traditional agriculture to the farm diversification is simulated. The rural-urban Social Accounting Matrices are used as base year data for the CGE-model. The results suggest that transferring CAP payments from the primary agriculture as income support to the diversified activity does not promote rural development and economic activity at the regional level provided that agriculture and food industry are in a central role in the rural economy. In contrast, if the relative position of agriculture is already of minor importance, diversified activities could produce extra income to the local economy. In conclusion, all the simulations generated higher positive GDP effects on the urban areas compared with the rural areas; the result suggesting the agglomeration of the economic activity within a rural region.
Resolving Three ‘Intractable’ Problems using a GetsApproach

The three ‘intractable’ problems are: selecting from a set o f perfectly collinear variables the subset which actually enters the DGP; selecting a regression mo del when there are more variables than observations; and selecting a model when there are endogeno us variables in simultaneous equations, but noa priori restrictions. Using a variant of Gets, each problem is embedded in the theory of reduction, and a viable approach shown, exploiting the proper ties of a new tool to solve previously intractable problems.
Retrospective Evaluation of Mothers' Opinions related to the Small Steps Early Intervention Program in Turkey

The purpose of this current study is to evaluate the Small Steps Early Intervention Program based on opinions of the mothers who participated in the program ten years ago. The participants of this study consisted of 10 mothers who had young children with disabilities participating early intervention program carried out in Turkey between 2000 and 2003. In this study, a descriptive research method was used in order to determine the mothers' opinions regarding the Small Steps Early Intervention Program. The data was collected by using semi structured in-depth interviews. In an attempt to reach detailed findings, the data of the study were analyzed inductively. The present study provides an understanding of opinions related to the Small Steps Early Intervention Program of mothers who have children with disabilities and it gives important information on the effectiveness of the program having been implemented since 1996 in Turkey. More importantly, it gives insights regarding the changes and adaptations to be done for future implementation of the SSEIP which was the first structured early intervention program aimed to meet the needs of the young children with disabilities and their parents in our country.
MPI Passive Target Synchronization on a Non-Cache-Coherent Shared-Memory Processor

MPI passive target synchronization offers exclusive and shared locks. These are the building blocks for the implementation of applications with Readers & Writers semantic, like for example distributed hash tables. This paper discusses the implementation of MPI passive target synchronization on a non-cache-coherent multicore, the Intel Single-Chip Cloud Computer. The considered algorithms differ in their communication style (message based versus shared memory), their data structures (centralized versus distributed) and their semantics (with/without Writer preference). It is shown that shared memory approaches scale very well and deliver good performance, even in absence of cache coherence. CCS Concepts • Computer systems organization → Multicore architectures; • Computing methodologies → Concurrent algorithms; • Software and its engineering →Message oriented middleware.
Frequency Reconfigurable Antenna Design Using Metasurface

A frequency-reconfigurable antenna designed using metasurface (MS) to operate at around 5 GHz is studied and proposed. The frequency-reconfigurable metasurfaced (FRMS) antenna is composed of a simple circular patch antenna and a circular MS with the same diameter of 40 mm and implemented using planar technology. The MS is placed directly atop the patch antenna, making the FRMS antenna very compact and low profile with a thickness of only 3.048 mm. The MS consists of rectangular-loop unit cells placed periodically in the vertical and horizontal directions. Simulation results show that the operating frequency of the antenna can be tuned by physically rotating the MS around the center with respect to the patch antenna. The MS placed atop the patch antenna behaves like a dielectric substrate and rotating the MS changes the equivalent relative permittivity of the substrate and hence the operating frequency of the FRMS antenna. Measured results show that the antenna has a tuning range from 4.76 to 5.51 GHz, a fractional tuning range of 14.6%, radiation efficiency and a realized peak gain of more than 80% and 5 dBi, respectively, across the tuning range.
THE INFLUENCE OF DIFFERENT PARAMETERS ON COUPLINGS WORKING FOR SMALL VELOCITIES SLIDING MOTION

The working of friction couplings in case of small sliding velocities and in case of a mixed or limit lubrication comes along with an unevenness of motion characterized by abruptness or by fits and starts. This phenomenon is known as stick-slip. The occurrence of this phenomenon in numerous technical applications has always aroused an increased scientific interest because of its unwanted implications on the machining precision in machine-tools and not only. The present paper proposes an analysis on the influence of different parameters that may come between the couplings working where stick-slip occurs.
Development of the measure of control using electronic aids to daily living

Electronic aids to daily living (EADL) are also known as environmental control systems (ECSs) or environmental control units (ECUs). Descriptive studies have been conducted regarding the benefit of EADL devices. These studies mostly focus on usage, qualify of life and satisfaction. There is a need for the study of functional benefits from EADL usage. This paper reports the development of Measure of Control using Electronic Aids to Daily Living (MCEADL), a tool that measures the functional changes specifically related to the use of EADL. We tested the psychometric qualities of MCEADL with 36 individuals (15 users and 21 non-users of EADL) with spinal cord injuries at or above C5/6 level. MCEADL was administered to the two groups twice, at a time interval of 4-8 weeks. The results of the study indicated that MCEADL has good internal consistency and good to very good test-retest reliability. In this paper, we discuss the possible applications of MCEADL as a clinical outcome measure or a program evaluation tool. Development of an outcome measure tool is an on-going process. Future research is necessary to examine the clinical utility of the measure with different diagnostic groups.
Alpha S1-Casein Gene Polymorphısm in Nigerian Balami Sheep Breed Indigenous to Mubi

The study was conducted on five Balami sheep breed to determine and characterize the alpha S1 casein gene. Five blood samples were collected from each animal intravenously using sterile needle and syringe. The blood samples were placed in labelled tubes containing ethylene diamine tetraacetic acid (EDTA). The blood samples were transported in on ice cold chain container to the laboratory for analysis. Quick-DNA Miniprep TM kit used for DNA extraction and amplified using forward and reverse primers (CSN1S1F 5’-ACCCCTCAGGTACCCTAAGAAA-3’ and CSN1S1R 5’-GTTTATCCCCCACACTGCATTC-3’). The gene was sequenced and blasted against the NCBI database. Single nucleotide polymorphism analysis was performed to ascertain the variations. Multiple sequence alignment and phylogenetic analysis within and with the reference sequence was conducted online bioinformatics tools. Result from the analysis reveals that, the extracted DNA were found on chromosome 6, intron 16 and exon 17. The Balami breeds of sheep showed total number of polymorphic and monomorphic site of 68 and 600 respectively, and percentage of polymorphism of 10.18%. The Balami breed showed one amino acid substitution and genetic variation within breeds. Complete molecular characterization, genotyping and determination of allele frequency of alpha S1 gene in Balami breed of sheep indigenous to Nigeria and its variations is recommended for further research.
Cortical Resonance to Visible and Invisible Visual Rhythms

Humans are rather poor in judging the right speed of video scenes. For example, a soccer match may be sped up so as to last only 80 min without observers noticing it. However, both adults and children seem to have a systematic, though often biased, notion of what should be the right speed of a given video scene. We therefore explored cortical responsiveness to video speed manipulations in search of possible differences between explicit and implicit speed processing. We applied sinusoidal speed modulations to a video clip depicting a naturalistic scene as well as a traditional laboratory visual stimulus (random dot kinematogram, RDK), and measured both perceptual sensitivity and cortical responses (steady-state visual evoked potentials, SSVEPs) to speed modulations. In five observers, we found a clear perceptual sensitivity increase and a moderate SSVEP amplitude increase with increasing speed modulation strength. Cortical responses were also found with weak, undetected speed modulations. These preliminary findings suggest that the cortex responds globally to periodic video speed modulations, even when observers do not notice them. This entrainment mechanism may be the basis of automatic resonance to the rhythms of the external world.
An efficiency approach to innovation process

The main goal of this paper is to model innovation phenomenon on national level using Data envelopment Analysis (DEA) technique.We want t o evaluate the innovation performance of 31 countries from the point of view of technical efficiency. Given that the innovation process is one of the main drivers for s ustained economic growth, it is obvious that we need innovation policies based on rigorous cantitattive analysis. We think that ranking countries according to their innovation per formance may represent a useful tool for the policy makers and we present here an evalua tion based on the information provided by European Innovation Scoreboard (EIS) wh ich is one of the instruments designed to understand the sources and patterns of inn vative activity. The efficiency scores obtained from a DEA model show that the coun tries considered innovation leaders, because their innovation performance refle ct d by Summary Innovation Index is well above that of EU average, are not also technic ally efficient when transforming innovation inputs into innovation outputs.
Modellbasierte Konfiguration einer grobkörnigen rekonfigurierbaren Architektur Model-Based Configuration of a Coarse-Grained Reconfigurable Ar- chitecture

Domain specific coarse-grained reconfigurable architectures offer a performance and efficiency close to hardwired implementations when accelerating multiple selected data intensive algorithms. However, this requires the transfer of algorithms onto the coarse-grained reconfigurable architecture to lead to an as high as possible utilization. This paper introduces a modeling framework for a model-based configuration workflow enabling algorithm experts and hardware experts to collaboratively and efficiently transfer algorithms onto a coarse-grained reconfigurable architecture. The concept was validated by the implementation and the testing of respective prototypes.