Miracle-dz/UniFAR-FTUs huggingface dataset:
CDS Primleri ve Derecelendirme (Raiting) Notları ile BIST 100 Endeksi Arasındaki İlişkinin İncelenmesi: Türkiye Örneği

In terms of economic agents, CDS premiums and credit ratings are con sidered as an indicator of the risk related to financial markets. In this context, relationship between CDS and credit ratings with BIST 100 index was exa mined for Turkey in particular In the econometric analysis part of the study, the period 2010:02-2020:02 was used and the ARDL co-integration test was imposed on. Analysis results showed that the variables are co-integrated. In other words, it is concluded that CDS premiums, credit rating scores and BIST 100 index move together in the relevant sample period for Turkey.
Analgesic Effects of Vilazodone, Indatraline, and Talsupram in a Rat Model of Neuropathic Pain.

Objectives Drugs that inhibit the reuptake of serotonin, norepinephrine, and/or dopamine are widely used for treating depressive disorders and have emerged as effective drugs for neuropathic pain. They have no substantial anti-nociceptive effects but are considered, with gabapentin/pregabalin, first-line drugs for neuropathic pain. Materials and Methods In this study, three different antidepressant agents were used in different doses to investigate their anti-hyperalgesic effects in rat models of neuropathic pain using hot plate and tail flick methods. They have different mechanisms of action; vilazodone hydrochloride is a selective serotonin inhibitor and a 5-HT1A partial agonist; talsupram hydrochloride is a selective noradrenaline inhibitor, and it has a high affinity for noradrenaline transporter (NET), whereas indatraline hydrochloride is a triple reuptake inhibitor that inhibits transporters for 5-HT (SERT), dopamine (DAT), and NET. Results All the drugs used in the experiment were found to have an anti-hyperalgesic effect in both tests compared to the sham group. When anti-hyperalgesic effects of the three agents were compared to each other, it was found that talsupram hydrochloride was significantly more effective than the two other drugs in hot plate test. However, there was no statistically significant difference in the tail flick test. Indatraline hydrochloride was more effective than vilazodone hydrochloride at the same doses in the tail flick test. Conclusion Our data suggest that three drugs are effective analgesics in rat models of neuropathic pain and inhibition of noradrenaline reuptake represents the cornerstone of analgesic mechanisms of effective antidepressants.
Styckares arbetsmiljö - En studie om knivskärpa, olika knivstålskvaliteter, arbetssätt, samt fysisk ansträngning

Sammanfattning Styckare inom kottbranschen i Sverige ligger sedan lange i toppen av statistiken i Sverige, nar det galler yrken med de hogsta relativa frekvenserna av anmalda arbetssjukdomar orsaka .
Surface Barriers at Semiconductor Contacts

The voltage-current and capacity-current characteristics for current flow across a surface of discontinuity between two semiconductors have been derived. Both the diode and diffusion theories are dealt with, the former being treated in detail for Mott barriers and the latter for Schottky barriers. The results are applied to measurements on silicon carbide point contacts and a grain boundary in germanium respectively. The resistance is shown to be consistent with a barrier which is caused by donor and acceptor surface states. On S1C the density of these states is about 1013 cm-2 and on Ge about 5×1011cm-2.
Small and Large Scale Spatial Characterization of GPS Indoor Signals

The characterization of GPS signals indoors is gaining an increasing importance due to its innumerable applications in civilian market. The main focus of this paper is the spatial characterization of GPS signals indoors. First and second order statistics such as mean signal power levels, average fade durations, level crossing rates and mean fade distances are analyzed over small and large physical areas in several indoor environments. Empirical values are compared against standard parametric models. The envelopes of the received signals are decomposed into slow and fast fading components. It is shown that the slow fading components follow a log-normal distribution and the fast fading components a Rayleigh distribution. The different methodologies adopted for the analysis, their advantages/drawbacks and the obtained results are discussed showing that composite models are required for capturing the complexity of GPS indoor signal propagation.
A frequency-dependent FDTD method for induced-current calculations for a heterogeneous model of the human body

A weakness of the FDTD (finite-difference, time-domain) method is that dispersion of the dielectric properties of the scattering/absorption body is often ignored and frequency-independent properties are generally taken. While this is not a disadvantage for continuous-wave or narrowband irradiation, the results thus obtained may be higher erroneous for short pulses where ultrawide bandwidths are involved. A differential equation approach was developed. It can be used for general dispersive media for which in *( omega ) and mu *( omega ) may be expressible in terms of ration functions, or for human tissues where multiterm Debye relaxation equations must generally be used. The method is illustrated by means of one- and three-dimensional examples of media for which in *( omega ) is given by a multiterm Debye equation and for a dispersive model of the human body. <<ETX>>
Analysis of Different CMOS Adders for Power, Speed and Area

In this paper, we simulated different adder cells using mentor graphics in 0.18 μm, CMOS technology. Analysis is done on as how the variation in parameters of CMOS effects the most important parameters of a circuit i.e delay in producing the result and the power consumed by the circuit in generating that result. This paper demonstrates the delay and Power Consumption of the proposed adders, and the comparison results among different full adders. It has been observed that by changing the width of the CMOS the delay parameter is improved if we move towards the ideal condition whereas the increase in width increases the size of the CMOS used.
Food sovereignty and agroecology praxis in a capitalist setting: the need for a radical pedagogy

ABSTRACT This article analyzes the potential for anti-capitalist politics to ‘translate' among food sovereignty proponents in Canada. I argue that a crucial tool for advancing food sovereignty and agroecology in the country will be radical pedagogy—and specifically political education efforts that advance both critical analyses of capitalism and prefigurative (post-capitalist) socio-economic arrangements. I offer a vision of a ‘praxis-pedagogy triad’ that illustrates how instances of agroecological prefiguration may relate to critical theories of capitalist political economy and the agrarian question, as well as radical pedagogies that will help a counter-hegemonic food sovereignty translate in a capitalist context.
Dorsal root ganglion stimulation combined with spinal cord stimulation for effective treatment of postherpetic neuralgia - A case report -

Background Although spinal cord stimulation (SCS) can be a treatment option for intractable postherpetic neuralgia (PHN), obtaining proper stimulation at the thoracic dermatome is difficult. Dorsal root ganglion (DRG) stimulation may be an effective treatment for patients with insufficient efficacy in SCS only. Case A 54-year-old male with intractable PHN was referred to our clinic. Pain was localized to the distribution of the T1–3 dermatomes. SCS trial was conducted, and lead was placed within the epidural space over the C6–T1 level; however, the stimulation was inadequate for his pain site. Therefore, another lead was placed within the left T1 and T2 DRG for trial, and T1 DRG stimulation provided adequate stimulation. T1 DRG stimulation and SCS could cover the entire pain site with paresthesia, and his pain was decreased by over 50%. Conclusions DRG stimulation combined with SCS may be a good treatment option for intractable thoracic PHN.
Effect of Bioaugmentation with Anaerobic Fungi Isolated from Ruminants on the Hydrolysis of Corn Silage and Phragmites australis

Anaerobic fungi produce extracellular hydrolytic enzymes that facilitate degradation of cellulose and hemicellulose in ruminants. The purpose of this work was to study the impact of three different anaerobic fungal species (Anaeromyces mucronatus YE505, Neocallimastix frontalis 27, and Piromyces rhizinflatus YM600) on hydrolysis of two different lignocellulosic substrates, corn (Zea mays L.) silage and reed (Phragmites australis (Cav.) Trin. ex Steud. ). Biomass from each plant species was incubated anaerobically for 11 days either in the presence of live fungal inoculum or with heat-inactivated (control) inoculum. Headspace gas composition, dry matter loss, soluble chemical oxygen demand, concentration of volatile fatty acids, and chemical composition were measured before and after hydrolysis. While some microbial activity was observed, inoculation with anaerobic fungi did not result in any significant difference in the degradation of either type of plant biomass tested, likely due to low fungal activity or survival under the experimental conditions tested. While the premise of utilizing the unique biological activities of anaerobic fungi for biotechnology applications remains promising, further research on optimizing culturing and process conditions is necessary.
Coordination between a supplier and a retailer in terms of profit concession for a two-stage supply chain

This paper introduces a coordination model that copes with the conflicts between a supplier and a retailer in a two-stage supply chain. In this model, the supplier aims to maximise his/her profit, while the retailer aims to maximise his/her expected profit under a stochastic demand. To solve this model, an -coordination solution to this model is introduced, which implies the supplier and the retailer both will make a same concession in their profits to cooperate with each other. Further, we show that each feasible solution to this model is an -coordination solution for a sufficiently large value , while the -optimum coordination solution gives the minimum concession for the supplier and the retailer. Besides, it is proved that the -optimum coordination solution can be obtained by solving a mathematical programming problem. At last, a numerical example and sensitivity analysis are given to show the performance of the proposed method.
Optimal Mode Switching for a Hydraulic Actuator Controlled With Four-Valve Independent Metering Configuration

Abstract A spool valve is a single degree of freedom system that has coupled ‘meter in’ and ‘meter out’. Decoupling of meter in from meter out provides for more controllability and potential for energy saving in overrunning load cases when compared with a conventional spool valve controlled hydraulic system. A four-valve configuration controlling a hydraulic cylinder is emphasized in this paper. The four-valve configuration can operate in several two-valve discrete modes because each of the four valves is controlled separately from the others. Five distinct (or discrete) metering modes that exist in the literature are initially studied: Powered Extension, High Side Regeneration Extension, Low Side Regeneration Extension, Powered Retraction, and Low Side Regeneration retraction. Each of these modes has different force and speed capabilities and the operating mode should consequently be selected based on the load and the commanded speed. Proper switching between these modes is crucial for efficient and productive performance. The problem of switching between these five modes is treated as an optimal control problem of a switched dynamic system. General theory for the optimal control problem is derived and then applied to the hydraulic system of interest. The results are then interpreted and explained by looking into the force-speed capability of modes, and a closed form solution for the quasi static case is presented.
Nomophobia in teenagers: digital lifestyle, social networking and smartphone abuse

Smartphone use influences teenagers’ behaviors and lifestyles, not always in a positive way. Abuse and dependence on the use of this device is what has led to the study of nomophobia. The objective of this research is to measure the level of nomophobia in adolescents, and to study their digital consumption habits. The study seeks to analyze the relationships between risk of nomophobia, digital behavior, age and smartphone use. A structured questionnaire has been applied to a sample of 850 students aged 12 to 16. The data has been analyzed with SPSS and SPAD. Multivariate statistical characterization, one of the most recent data mining techniques, has been used to study differences in teenagers’ behaviors according to their risk of nomophobia, and to find related explanatory variables. Teenagers’ nomophobia risk ranges from mild to moderate, showing a relation with age, academic performance and intensity of use of mobile social networking apps. The risk of nomophobia responds to differences in students’ digital, social, relational and educational behaviors, and exhibits differences according to academic performance, age, gender, motivation and self-perception.
Diagnosis and performance analysis of threephase permanent magnet synchronous motors with static, dynamic and mixed eccentricity

Albeit permanent magnet synchronous motors (PMSMs) under static and dynamic eccentricity have been studied in few papers, so far mixed eccentricity has not been investigated. In this study, a novel index is introduced for dynamic and mixed eccentricity fault diagnosis in PMSM. This index is the amplitude of side-band components with a particular frequency pattern that is extracted from spectrum analysis of the motor torque. The index provides precise detection of the eccentricity occurrence, recognition of its type and determination of its degree. To evaluate the ability of the proposed index for the eccentricity diagnosis and estimation of its severity, first the correlation between indices, static and dynamic eccentricity degrees are calculated. The type of eccentricity is determined using k-nearest neighbour (KNN) classifier. At the next step, a three-layer artificial neural network is employed to estimate the eccentricity degree of torque profiles based on their type of eccentricity. After all, a white Gaussian noise is added to the simulated torque and robustness of the proposed index is analysed with respect to the noise variance. Meanwhile, the spectrum analysis of the stator current in faulty PMSM under static, dynamic and mixed eccentricities is studied and the influence of these eccentricities on ohmic, hysteresis and eddy current losses of PMSM are presented. In this examination, the time-domain elemental flux density waveforms and various time-domain waveforms of motor winding currents are computed using time stepping finite element method (TSFEM) for core loss and ohmic loss calculations punctually. The accuracy of obtained simulation results is verified using experimental results.
A Novel Data Fusion Method Based on Signal's Reliability

The traditional Kalman filter is able to obtain the optimal estimation of the estimated signals. However, it fails to consider their reliability. In real applications, the estimated signals may include outliers. Fortunately, we are able to know the reliability of the signals transcendentally. In this paper, we derive the one-dimensional data fusion formulas based on signals reliability which is according to minimum variance restriction. Furthermore, a corresponding data fusion scheme is proposed. Experimental results show the propose data fusion method performs much better than traditional methods.
CUSTOMER EXPERIENCE PERSPECTIVE IN MAJAPAHIT HOUSE MANAGEMENT IN BEJIJONG VILLAGE, MOJOKERTO

This study aims to explore the perspective of customer experience in managing Majapahit House in Bejijong Village by explaining the phenomena that are being the questions of the study. Then to explain the phenomena that occur, this study uses a qualitative method with a phenomenological paradigm. The results of this study indicate the views of managers and tourists towards activities that refer to three conditions: before, during the service delivery process and the service has been provided. This research is useful for business managers, especially related to the field of tourism to see the importance of managing customer experience.
The Library Self-Study Process

In this chapter, we bring together the various thematic strands from the previous chapters—those that focus on the impetus for self-studies and reviews and those that discuss the value of different types of data and assessment frameworks. We hope that this pragmatic approach provides a blueprint to allow you to apply the theoretical and practical lessons of the surrounding chapters. A constant thread throughout these chapters is that of assessment, and more specifically, the culture of assessment:
Effects of eight-week progressive resistance training on physical fitness and psychological health in adolescent males

Introduction: Physical fitness and psychosocial health might improve through resistance training programs. However, there has been controversy regarding the efficacy of different exercise programs. To compare the effect of 8 weeks’ resistance training with linear and undulating programming on physical fitness and mental health.Methods: 29 healthy and untrained students (age: 16.06±0.83) were randomly divided into three groups: (1) control (n= 6), (2) linear programmed resistance training (LPRT) (n= 12), and (3) undulating programmed resistance training (UPRT) (n= 11). After two weeks of familiarization, 1RM values were obtained. Thereafter, experimental groups attended a resistance training program of 3 sessions per week for 8 weeks. Both groups had a similar plan until the fourth week. Then, intensity was increased up to 70% of 1RM on a weekly basis for the LPRT group, and varied on a daily basis for the UPRT group. Upper- and lower-extremities strength and endurance, balance, speed, explosive-power, lean body mass, general mental health (GSQ) and physical self-concept (PSCQ) were measured.Results: Experimental groups produced significant improvements in physical outcomes, in comparison with controls. There were no improvements in GSQ and PSCQ. There were no statistically significant differences between the two programs.Conclusion: Both linear and undulating programs improved physical fitness of previously sedentary adolescent boys to a similar extent. For practical purposes, as long as loads are individually adjusted, the type of program may not be relevant in beginner practitioners. Furthermore, both models were ineffective in producing changes in the psychosocial variables.
Hybrid clean energy technologies for power generation from sub-bituminous coals: a case of 250 MW unit

Major re-thinking is required on the conventional pulverized fuel conversion route of power generation wherein the ash and mineral burden in coals is transported through the entire flow passage of the boiler. For high-ash fuels, this has to be contained and the boiler must be clear of all mineral matter. The two independent clean coal candidate technologies for efficiency enhancement and emission controls – ultra-supercritical cycle (USC) and integrated gasification with combined cycle (IGCC) – both have limitations in adaptation to high-ash coals. While the USC is limited by the steam temperature up to 600°C (commercial scale) (700°C pilot scale) and boiler tube failure risks, IGCC is limited to high-quality fuels like diesel, naphtha, etc. (commercial scale) and high-grade coals (pre-commercial scale). The hybridization of the two technologies in their current form (ultra-supercritical cycle with gasification conversion) and carbon capture and storage (CCS) together with solar energy (solar thermal and solar photovoltaic) integration presents possibilities for immediate application to low-grade sub-bituminous coals to achieve the clean technology goals. The energy efficiency of the hybrid system is around 44.45%, which is of the order of the USC with pulverized coal combustion. But the predominant benefits of a clean operation override. The benefits are reduction in CO2 generation from 0.86 to 0.70 kg/kWh and reduction in ash expelled from 0.20–0.24 to 0.12–0.18 kg/kWh besides elimination of dispersion of ash around the power station and facilitating CCS.
The Imprint of the Southern Annular Mode on Black Carbon AOD in the Western Cape Province

This study examines the relationship between variations of the Southern Annular Mode (SAM) and black carbon (BC) at 550 nm aerosol optical depth (AOD) in the Western Cape province (WC). Variations of the positive (negative) phase of the SAM are found to be related to regional circulation types (CTs) in southern Africa, associated with suppressed (enhanced) westerly wind over the WC through the southward (northward) migration of Southern Hemisphere mid-latitude cyclones. The CTs related to positive (negative) SAM anomalies induce stable (unstable) atmospheric conditions over the southwestern regions of the WC, especially during the austral winter and autumn seasons. Through the control of CTs, positive (negative) SAM phases tend to contribute to the build-up (dispersion and dilution) of BC in the study region because they imply dry (wet) conditions which favor the build-up (washing out) of pollutant particles in the atmosphere. Indeed, recent years with an above-average frequency of CTs related to positive (negative) SAM anomalies are associated with a high (low) BC AOD over southwesternmost Africa.
A system-awareness decision classifier to automated MSN forensics

Data collection is the most important stage in network forensics; but under the resource constrained situations, a good evidence collection mechanism is required to provide effective event collections in a high network traffic environment. In literatures, a few network forensic tools offer MSN-messenger behavior reconstruction. Moreover, they do not have classification strategies at the collection stage when the system becomes saturated. The emphasis of this paper is to address the shortcomings of the above situations and pose a solution to select a better classification in order to ensure the integrity of the evidences in the collection stage under high-traffic network environments. A system-awareness decision classifier (SADC) mechanism is proposed in this paper. MSN-shot sensor is able to adjust the amount of data to be collected according to the current system status and to keep evidence integrity as much as possible according to the file format and the current system status. Analytical results show that proposed SADC to implement selective collection (SC) consumes less cost than full collection (FC) under heavy traffic scenarios. With the deployment of the proposed SADC mechanism, we believe that MSN-shot is able to reconstruct the MSN-messenger behaviors perfectly in the context of upcoming next generation network.
Dynamic model and small signal analysis based on the extended describing function and Fourier series of a novel AM ZVS direct coupling DC/DC converter

This paper develops a new method for dynamic analysis of a soft-switching converter, which is based on the extended describing function and Fourier series. This method overcomes some limitations of the extended describing function, so it is easier to be applied to dynamic analysis of the soft-switching converters. Moreover, this paper establishes the dynamic model of a novel AM ZVS direct coupling DC/DC converter by the method, carries out the small signal analysis, the analytical results agree reasonably with the experimental results.