Miracle-dz/UniFAR-FTUs huggingface dataset:
IS THE GROWTH IN AUTOMOTIVES BENEFICIAL FOR SLOVAKIA? AN APPLIED CGE MODEL STUDY

A static computable general equilibrium model of an open economy applied to the economy of Slovak Republic is presented in this paper. The data base of the model is a social accounting matrix created and adapted for purposes of this model and based on 2004 data. A methodology of a social accounting matrix disaggregation as an optimization problem of goal programming is proposed. The model applies to the automotive sector and shows how to analyze the impacts of changes in policy making such as increase of export, increase of export price and drop in production.
Extracting orthogonal subject-and behavior-speciﬁc signatures from fMRI data using whole-brain eﬀective connectivity

The study of brain communication based on fMRI data is often limited because such mea-25 surements are a mixture of session-to-session variability with subject-and condition-related information. Disentangling these contributions is crucial for real-life applications, in particular when only a few recording sessions are available. The present study aims to deﬁne a reliable standard for the extraction of multiple signatures from fMRI data, while verifying that they do not mix information about the diﬀerent modalities. In
Optimization of Condenser Backwash Method to Maintain Condenser Performance During the Backwash Process in PLTGU Grati

The condenser is a device used to change the water vapor phase that has been used to rotate the turbine blade into a liquid phase by condensing it. When the condenser tube is dirty, it can disrupt the steam condensation process which affects the efficiency of the condenser. To overcome this problem a condenser backwash is carried out. Â Â Condenser backwash has a good influence on unit efficiency but backwash activities also reduce production by decreasing vacuum condensers and steam turbine loads. When the vacuum condenser backwash process decreases + - 24 mmHg and the steam turbine load decreases + - 8 MW.The condenser backwash process is carried out from the control room with the observation of parameters from the local area or equipment. Backwash condensers are done one by one as needed. The condenser type in PLTGU Grati Block I is a type of crossflow with two sides, namely, side A and side B. Each side of the condenser has a different sequence backwash condition. This study will be carried out a backwash method that is different from the sequence of automatic sequences.In the normal condenser backwash activity of data table 3 we can know there is a decrease in steam turbine load Â± 8MW and a decrease in vacuum Â± 24 mmHg. This is because at a certain period the condenser performance is reduced because at the time of switching valve one side of the condenser is not irrigated by seawater so that the heat transfer in the condenser is reduced which has an impact on a load of steam turbine and vacuum condenser. After the research was obtained that the greater the opening of the valve inlet when the condenser backwash then the decrease in vacuum and steam turbine load decreased even no decrease in load.The backwash method that can be done to keep the vacuum condenser and steam turbine load stable is by maneuvering the valve inlet, outlet, and condenser backwash valve. The results of the analysis obtained were a more stable decrease in steam turbine production in 0 MW and a decrease in the vacuum of 14 mmHg.
Aalborg Universitet Analysis of Droop Controlled Parallel Inverters in Islanded

Three-phase droop controlled inverters are widely used in islanded microgrids to interface distributed energy resources and to provide for the loads active and reactive powers demand. The assessment of microgrids stability, affected by the control and line parameters, is a stringent issue. This paper shows a systematic approach to derive a closed loop model of the microgrid and then to perform an eigenvalues analysis that highlights how the system’s parameters affect the stability of the network. It is also shown that by means of a singular perturbation approach the resulting reduced order system well approximate the original full order system.
Computational Circuit Mechanisms Underlying Thalamic Control of Attention

The thalamus engages in attention by amplifying relevant signals and ﬁltering distractors. Whether architectural features of thalamic circuitry offer a unique locus for attentional control is unknown. We developed a circuit model of excitatory thalamocortical and inhibitory reticular neurons, capturing key observations from task-engaged animals. We found that top-down inputs onto reticular neurons regulate thalamic gain effectively, compared to direct thalamocortical inputs. This mechanism enhances downstream readout, improving detection, discrimination, and cross-modal performance. The model revealed heterogeneous thalamic responses that enable decoding top-down versus bottom-up signals. Spiking activity from task-performing mice supported model predictions, with a similar coding geometry in auditory thalamus and readout strategy in auditory cortex. Dynamical systems analysis explained why reticular neurons are potent sites for control, and how lack of excitatory connectivity among thalamocortical neurons enables separation of top-down from bottom-up signals. Our work reveals mechanisms for attentional control and connects circuit architectures to computational functions.
Effects of Marker Density, Number of Quantitative Trait Loci and Heritability of Trait on Genomic Selection Accuracy

The success of genomic selection mainly depends on the extent of linkage disequilibrium (LD) between markers and quantitative trait loci (QTL), number of QTL and heritability (h2) of the traits. The extent of LD depends on the genetic structure of the population and marker density. This study was conducted to determine the effects of marker density, level of heritability, number of QTL, and to compare the accuracy of predicting breeding values using two diverse approaches: GBLUP and BayesA using simulated data under two different distributions of the QTL effect. Thereby, three traits (milk production, carcass weight and mature body weight) were simulated with the heritability of 0.10, 0.30 and 0.50, respectively; for each ovine animal, a genome with three chromosomes, 100 cM each. Three different marker densities was considered (1000, 2000 and 3000 markers) and the number of QTL was assumed to be either 100, 200 or 300. Data were simulated with two different distributions of the QTL effect which were uniform and gamma (α=1.66 and β=0.4) the marker density, number of the QTL, the QTL effect distributions and heritability levels significantly affected the accuracy of genomic breeding values (P<0.05). The BayesA produced estimates with greater accuracies in traits influenced by a low number of the QTL and with the gamma QTL effects distribution. Based on the findings of this simulation, heritability, as well as dense marker panels, aiming to increase the level of LD between the markers and QTL, is likely to be needed for successful implementation of the genomic selection.
Using Digital Lidar to Study Cycling Safety and Distance Estimation of Passing Vehicles

In this paper, we introduce an application of LiDAR (Light Detection and Ranging) technology to enhance cycling safety and urban environment analysis. LiDAR is a remote sensing method that utilizes laser light to measure distances and generate precise 3D representations of objects. The study’s central objective is to devise an algorithm that, in conjunction with a LiDAR-equipped bicycle, identifies passing vehicles on the bicycle’s left side and computes their minimum distances. The research addresses the imperative of bolstering cycling safety within urban contexts. The study’s framework encompasses the attachment of a LiDAR sensor to a bicycle, facilitating data collection through rides along city streets. Subsequent data processing employs a tailored algorithm incorporating DBSCAN clustering and distance calculations and compared with the ground truth measurements of a C3FT device. In result, key findings underscore the algorithm’s effectiveness in accurately identifying and measuring the nearest passing cars on the bicycle’s left side, considering spatial relationships. The paper’s interdisciplinary approach converges principles from engineering, data analysis, and urban studies. In summary, this research demonstrates how LiDAR technology, when integrated with innovative algorithms, can create safer and more informed urban mobility paradigms.
Compressed sensing for ECG signal compression using DWT based sensing matrices

ABSTRACT In this article, we have investigated the 1-D discrete wavelet transform (DWT)-based measurement matrices for electrocardiogram (ECG) compression. Moreover, the current work examines the suitability of the diverse DWT matrices, namely Symlets, Battle, Coiflets, Vaidyanathan, and Beylkin wavelet families, for ECG compression. Furthermore, this article shows the comparative performance study of the proposed DWT matrices with conventional deterministic and random measurement matrices. Overall, the Battle1 wavelet-based measurement matrices demonstrate the enhanced performance against the db3, coif5, and sym6 based measurement matrices in terms of Percentage Root-Mean Squared Difference (PRD), Root Mean Square Error (RMSE), and Signal-to-Noise Ratio (SNR). Finally, it was seen that the proposed Battle1 matrix demonstrates the improved performance against the conventional measurement matrices such as the Karhunen–Loeve transform (KLT), Discrete Cosine Transform (DCT) matrix, and random Hadamard measurement matrix. Thus, the result shows the adequacy of DWT measurement matrices for the compression of ECG. GRAPHICAL ABSTRACT
The impact of bilinguism on cognitive aging and dementia: Finding a path through a forest of confounding variables

Within the current debates on cognitive reserve, cognitive ageing and dementia increasingly showing a positive effect of mental, social and physical activities on health in older age, bilingualism remains one of the most controversial issues. Some reasons for it might be social or even ideological. However, one of the most important genuine problems facing bilingualism research is the high number of potential confounding variables. Bilingual communities often differ from monolingual ones in a range of genetic and environmental variables. In addition, within the same population, bilingual individuals could be different from the outset from those who remain monolingual. We discuss the most common confounding variables in the study of bilingualism, aging and dementia, such as group heterogeneity, migration, social factors, differences in general intelligence and the related issue of reverse causality. We describe different ways in which they can be minimised by the choice of the studied populations and the collected data. In this way, the emerging picture of the interaction between bilingualism and cognitive aging becomes more complex, but also more convincing.
Movimientos sociales, redes sociales y Web 2.0: el caso del Movimiento por la Paz con Justicia y Dignidad

Estudios empíricos han señalado que la interacción en las plataformas de los movimientos sociales suele ser muy baja, aunque otros autores argumentan que la Web 2.0 aumenta las posibilidades de participación y de interacción. Este artículo presenta un análisis cuali-cuantitativo de la página Facebook del Movimiento por la Paz con Justicia y Dignidad. El objetivo consiste en investigar si esta página constituye un espacio de diálogo e interacción o si en cambio prevalece una lógica de difusión de contenidos online. Los resultados revelan que Facebook aparece como espacio de publicación de informaciones, no como red para un debate participativo.
Determining the Correlation Between Hopelessness and Depression in Final-Year High School Students

Objective: This study was conducted to determine the correlation between hopelessness and depression among final-year high school students. Materials and Methods: The population of this study method, consisted of final-year students from all high schools in the centre of a city in the Eastern Anatolia region in Turkey (N=1928). The quota sampling method was utilized in the study. Participation in the study achieved a response rate of %76,9 (n=1483 participants). The questionnaire was divided into three sections, the first of which had a personal information form that queried on socio-demographic characteristics. The Beck Hopelessness Scale (BHS) was included in the second section of the form and the Beck Depression Inventory (BDI) was included in the third section. Results: It was determined that the BHS total scores were higher for those who had only one alive parent, had authoritarian and indifferent parents, were feeling unhappy, had no future plans, and did not spend time with their friends. The BDI total scores were higher for those who had no parents alive, stated that their parents displayed inconsistent attitudes and only one parent alive, did not get any support from the school’s guidance department, had employed parents, were feeling unhappy, had no future plans, and did not spend time with their friends. Additionally, girls were observed to have higher depression levels than boys. Conclusion: By conducting health screenings at schools, protective approaches should be developed specifically for risk groups (such as girls, those who are separated from their families, and those with indifferent parents).
Applying the GOCE-based GGMs for the quasi-geoid modelling of Finland

Abstract The gravity satellite mission GOCE made its final observations in the fall of 2013. Since the re-entry to the Earth’s atmosphere, the full cycle of the GOCE data has been published by ESA. At first, we evaluated all the GOCE-based global geoid models over Finland using terrestrial gravity and GNSS-levelling data. The most suitable model was selected as a global background model for the Finnish quasi-geoid calculations. Next, we combined the chosen model with terrestrial gravity data of Finland and surrounding areas. Quasi-geoid models with different modifications were calculated using the GOCE DIR5 model up to spherical harmonic degree and order (d/o) 240 and 300, and the high resolution EIGEN-6C4 (includes the complete GOCE data) model up to degree and order 1000 and 2190. The calculated quasi-geoid models were validated to the measurements on site with two independent GPS-levelling datasets. The best quasi-geoid models with GOCE gave standard deviations of 2.6 cm (FIN_DIR5 d/o 240) and 2.3 cm (FIN_DIR5 d/o 300) in Finland. For the high resolution model FIN_EIGEN-6C4, the results were 1.8 cm (d/o 1000) and 1.7 cm (d/o 2190). In addition, the results were compared with the latest geoid models available in Finland (FIN2005N00, NKG2004, NKG2015, EGG2008). The sub-2-centimetre (and near 2 cm, when using the GOCE-based models) accuracy is an improvement over the previous and current Finnish geoid models.
Impact de l'aérosol sur le cycle de vie des nuages de couche limite

L'aerosol anthropique peut affecter le cycle de vie des nuages de couche limite, en modifiant l'albedo du nuage et en inhibant la formation des precipitations. Cependant, il est difficile de quantifier ces impacts a partir d'observations. Les interactions aerosol-nuages de couche limite sont donc etudiees a l'aide des modeles numeriques a resolution fine (LES), qui disposent de parametrisations detaillees de la turbulence, du transfert radiatif et de la microphysique nuageuse. Dans cette etude, nous examinons plus specifiquement les impacts de l'aerosol sur le cycle diurne de stratocumulus marins. Des simulations LES d'un cycle de 36 heures sont realisees pour des concentrations d'aerosol typiques de masses d'air pures et polluees. Partant d'un meme etat initial, les simulations divergent rapidement. L'augmentation de la concentration des noyaux de condensation nuageux conduit a une augmentation de la concentration des gouttelettes, a une diminution de leur diametre, et ainsi a l'inhibition de leur sedimentation et de la precipitation de bruine. Le contenu en eau liquide au sommet nuage augmente et l'entrainement sommital est renforce. De plus, l'absorption du rayonnement solaire a la base du nuage n'est plus compensee par l'evaporation de la bruine et le decouplage de la couche nuageuse est renforce. Dans l'ensemble, la couche limite polluee est mieux couplee la nuit et plus decouplee le jour que la couche limite marine pure. Ces simulations permettent d'identifier des signatures mesurables de l'impact des aerosols sur la dynamique de la couche limite, et ainsi de mieux concevoir les experiences de terrain qui visent a quantifier ces impacts.
Symmetric and Right-Hand-Side Hesitant Fuzzy Linear Programming

Fuzzy set theory has been extensively employed in mathematical programming, especially in linear programming problems. As a generalization of fuzzy sets, a hesitant fuzzy set is a very useful tool in places where there are some hesitations in determining the membership of an element to a set. There are few studies on hesitant fuzzy linear programming problems; therefore, in this paper, we have studied such problems. For this purpose, at first, the motivation of this paper is explained; then, types of hesitant fuzzy linear programming models are introduced. Since it is not easy to examine all of the hesitant fuzzy models for the linear programming problems in one paper, we have restricted ourselves to symmetric and right-hand-side hesitant fuzzy linear programming problems with the flexible approach and then proposed two new approaches to solve them. Finally, to illustrate the applicability of the proposed approaches, three examples under hesitant fuzzy information are given.
INCREASED PAIN SENSITIVITY IN ACCIDENT-RELATED CHRONIC PAIN PATIENTS WITH COMORBID POSTTRAUMATIC STRESS

Objectives: Posttraumatic stress disorder (PTSD) is prevalent in chronic pain, and associated with increased pain, hyperalgesia and psychological distress. This study aimed to investigate antinociceptive and pro-nociceptive pain mechanisms, pain intensity, and psychological distress (depression, anxiety, pain catastrophizing, and fear of movement) in patients with accident-related chronic spinal pain with (N=44) and without (N=64) comorbid PTSD characteristics. Methods: Cuff algometry was performed on lower legs to assess pressure pain threshold (cPPT), tolerance (cPTT), temporal summation of pain (TSP: increase in pain scores to ten repeated stimulations), and conditioning pain modulation (CPM: increase in cPPT during cuff pain conditioning on the contralateral leg). Warmth detection threshold (WDT) and heat pain threshold (HPT) at the hand were also assessed. Clinical pain intensity (numerical rating scale), psychological distress, and PTSD symptomatology (ICD-11) were assessed with questionnaires. Mediation analyses were performed to investigate possible psychological mediators in the associations between PTSD and pain (intensity and mechanisms). Results: Patients with PTSD demonstrated increased pain intensity, and psychological distress as well as reduced WDT and cPTT compared with patients without PTSD (P < 0.05). No significant differences in cPPT, HPT, TSP and CPM were found. The association between PTSD and pain intensity was mediated by pain catastrophizing, and fear of movement mediated the association with
WAVELENGTH TUNABLE PASSIVELY Q-SWITCHED FIBER RING LASER USING GALLIUM ARSENIDE BASED MICROCHIP SATURABLE ABSORBER

The work presented in this study is focused on developing a widely wavelength tunable Q-switched pulsed erbium doped fiber ring laser (EDFRL) source operating in microsecond regime in Telecom wavelength spectrum of 1.55 μm ( C and L bands ). A commercial Gallium arsenide (GaAs) based microchip saturable absorber (SA) is used in the proposed EDFRL configuration to passively initiate Q-switching for stable pulse generation. Unless low damage threshold of the commercial GaAs based SA and non-optimized cavity length and losses, sufficiently stable pulse trains were obtained for a wide wavelength tuning range of 50 nm from 1520 nm to 1570 nm with high repeatability and long-term stability. The Q-switched output pulses of the proposed EDFRL have output average powers varying from +0.65 dBm to +1.53 dBm, the pulse widths varying from 4.27 μs to 7.16 μs and the repetition rates varying from 51.51 kHz to 31.42 kHz for different tuning wavelengths.
H-bonding scheme in allactite: A combined single-crystal neutron/X-2

51 The crystal chemistry of allactite from Långban, Värmland (Sweden) was 52 investigated by single-crystal X-ray and neutron diffraction, optical absorption 53 spectroscopy, Fourier-transform infra-red spectroscopy (FTIR) and electron microprobe 54 analysis by wavelength dispersive spectroscopy (EPMA-WDS). The optical spectra 55 show indications for the presence of Mn in the valence state 2+ only. Assuming 16 O 56 atoms per formula unit, arsenic as As 5+ and the (OH) content calculated by charge 57 balance, the resulting unit formula based on the EPMA-WDS data is 58 (Mn 2+6.73 Ca 0.13 Mg 0.12 Zn 0.02 ) Σ 7.00 (As 5+ ) 2.00 O 16 H 8 , very close to the ideal composition 59 Mn 7 (AsO 4 ) 2 (OH) 8 . In the unpolarised
Human resource heterogeneity, hold-up and firm cash holdings

PurposeThis paper aims to study the impact of human resource heterogeneity on firms’ cash-holding policies.Design/methodology/approachThe authors construct a proxy for human resource heterogeneity using the dissimilarity in employees’ skill structure between the firm and its peers in the same industry.FindingsThe authors report evidence that firms with heterogeneous human resources hold more cash than other firms. This effect is more pronounced in labor-intensive firms and firms more susceptible to hold-up by employees, i.e. firms located in regions with more labor disputes and firms surrounded by more external employment opportunities. In addition, the authors demonstrate that high cash holdings triggered by human resource heterogeneity reduce the scale and efficiency of firms’ capital investment.Originality/valueOur study highlights the role of human resource heterogeneity in determining firms’ cash policies. This paper adds to the understanding of labor adjustment costs within the firm and provides insights into firms’ cash-holding decisions.