Miracle-dz/UniFAR-FTUs huggingface dataset:
Current Shopping Trends In Slovakia

Understanding the buying and shopping behaviour of current and potential consumers is essential in formulating a successful marketing strategy. It is no longer sufficient for companies to merely produce goods or provide services;companies must know who their consumers are, why they buy, when, where and at what price they buy, and what benefits they expect to gain from the purchase. Companies also need to identify how far consumers are willing to travel to make their purchases and whether the size of the sales area plays a significant role in their preferences. Retailers must also determine whether their customers prefer online shopping or want to buy and spend their leisure time in shopping centres. The paper aims at presenting the selected current trends in buying and shopping through elaborating an overview of the selected research studies and secondary data. The paper also gives an overview of contemporary trends in shopping, customer preferences with regard to types of retail outlets, e-commerce as such, buying and shopping in the online environment and, last but not least, the changes in consumer behaviour during the COVID-19 pandemic. <br><br>Pochopenie nákupného správania súčasných a potenciálnych spotrebiteľov je podstatou úspešnej marketingovej orientácie na trhu. Nestačí už len vyrábať výrobky, resp. Poskytovať služby, je potrebné poznať, kto je spotrebiteľ, prečo nakupuje, kedy a kde nakupuje, za akú cenu a aký úžitok od nákupu očakáva. Akú vzdialenosť je ochotný prejsť za nákupmi, či hrá v tejto preferencii podstatnú úlohu predajná plocha predajne, alebo vzdialenosť. Či preferuje online prostredie, alebo chce okrem nákupov (hlavne) v nákupných centrách tráviť aj svoj voľný čas. Cieľom nášho príspevku bolo zhodnotiť vybrané súčasné trendy v nakupovaní prostredníctvom spracovania prehľadu vybraných výskumov a sekundárnych dát. V príspevku sa stručne venujeme prehľadu súčasných trendov v nakupovaní, preferenciám spotrebiteľov podľa typu predajní, elektronickému obchodu ako takému, nakupovaniu v online prostredí a v neposlednom rade aj zmenám v spotrebiteľskom správaní počas trvania pandemie COVID-19.
Criminal Instruments Shift-Share Designs and Collinearity

This paper provides evidence that machine learning techniques can improve Bartik instrument research designs. We show that collinearity in a Bartik ﬁrst-stage can render point estimates uninterpretable as a local average treatment eﬀect (LATE). In addition to providing more precise estimates we show that addressing collinearity—for example, with Lasso—can also relax the assumptions needed for interpreting those estimates as a LATE. Our empirical focus is the eﬀect of unemployment on crime. Compared to a baseline Bartik speciﬁcation, a Lasso-style ﬁrst-stage reduces the estimated eﬀect of job losses on crime by forty-ﬁve percent.
General analysis of harmonic transfer through converters

Harmonic transfer from DC-side to AC-side and vice-versa through a three-phase bridge power converter is treated by using space vectors. The dependency of the relative frequency of a harmonic and its sequence (positive/negative) is illustrated. It is shown that the derived relationships are valid for both voltage-source and current-source power converters. Thereby, the relationships for the frequency transformation through power converters are also valid for both voltage and current harmonics. This analytical method is validated by digital simulations with EMTP software.
Perkembangan Keseimbangan pada Anak Usia 7 s/d 12 Tahun Ditinjau dari Jenis Kelamin

Background of this static balance research and dynamic is to investigatethe development ofstatic and dynamic balancein older childrenages 7to12 years in Demak regency. The purposeof this study was to determinethe importance ofthe development of static and dynamic balance in young men and the humiliation of women aged 7-12 years inDemak regency.The method was used by the researchersin examine this research is by methods development Cross-sectional study (study the developmentalcross-sectional study ofbalance). The initial phaseis to collect student data Elementary School (SD) according to the sampling technique used,in whole school elementary school (SD) as Demak regency. The data are the names of students who will perform tests of static balance and dynamic balance. In the second stage, after the data has been collected the students performa static balance test using the tes stroke stand and for dynamic balance test using the floor patern The third phase was after the measurement of static balance and dynamic balance is complete, it can be presente tables and graphs, according to the data of each measurement and the balance and then compared the development of static and dynamic balanceper-ages 7 s/d12 years also gender. The next stage is to compare the development of static balance and dynamic balance between big kids boys and girls ages 7s/d12 years
Learning Goal Orientation and Academic Performance: A Dynamic model

Drawing on the reciprocal determinism of self-regulation system, a process-based model is used to examine the relationship of learning goal orientation (LGO) among university students with their academic performance, via reciprocal relationships between initial status and change trajectories in academic self-efficacy and feedback-seeking behaviors. A longitudinal study of 316 Chinese university students throughout their first year in college reveals that students who have high LGO in their first month after entering the university generally have higher academic self-efficacy and seek more feedback. Moreover, initial levels of feedback seeking are positively related to academic performance via linear change in academic self-efficacy over time. Limitations of the study and practical implications are discussed.
Full Scale Data Comparison for the Horn Mountain Spar Mooring Line Tensions During Hurricane Isidore

The Horn Mountain Production Spar was installed in 5,400 feet of water in June 2002. This was the deepest floating production unit at that time. A comprehensive instrumentation program was initiated to measure spar and riser responses (Edwards et al, DOT 2003), while motion comparisons were presented on previous publication (Halkyard et al, OMAE 2004). The present paper discusses the results of these measurements and compares with analytical predictions of spar mooring tension during hurricane Isidore in September 2002. Particular attention has been placed on the importance of Coulomb friction between wire chain and the fairlead bearing to the dynamic tension of mooring lines. Mooring tensions were measured at chain jack location (inboard tension), while analytical models computed those tensions at the fairlead location (outboard tension). Our conclusion is that there is excellent agreement between field measurements and computed tensions at the chain jacks when fairlead friction is included, and when the vessel motions are accurately predicted. Ignoring fairlead friction results in a slightly conservative estimate for the tension at the chain jack. This has been the standard practice in all spar designs to date.Copyright © 2005 by ASME
Number 4 2020 ! THE SIMULATION STUDY OF GNSS SIGNAL REFLECTION IN MONITORING SEA LEVELS AND TSUNAMI 192

A real-time Global Navigation Satellite System (GNSS) data managed by the Geospatial Information Agency (BIG) can be developed for indirect tsunami monitoring. This involves using GNSS TEC data due to the atmospheric-ionosphere coupling through tsunamitriggered infrared waves. The application of this method is, however, limited to tsunamis originating from earthquake epicenter which is far from the coast. Meanwhile, the arrival Vol 39 No. 4, page 193 (2020) of tsunamis to the coast requires a longer time than the propagation of infrasound waves into the ionosphere. This GNSS signal reflection technique can, therefore, be used to detect tsunamis which are close to shore in order to overcome the detection weakness associated with the GNSS TEC and also routinely used to monitor sea waves. This research conducted a simulation of this technique using single-frequency code distance data to determine the sea level and the results showed its effectiveness in determining sea wave height using one differentiation. It is also possible to ignore the difference in the bias of two receivers of direct and reflected signals by sea-level assuming they are similar and have identical antennas. The use of pseudo distance from the GNSS signal code data makes it possible to estimate the height of the sea waves by simulation with a standard deviation of approximately 5.6 cm.
Effect of Pre-Planting Cold Treatment on the Growth and Development of Onion Seed Crop with Special Emphasis on Flowering

This study was stimulated by the problem of onion seed production in Bangladesh and similar regions where seed production is possible only during the short cool winter period after which rapid increase in temperature as well as early shower adversely affect the quality of seed. Experiment was carried out inorder to develop suitable production techniques to get high yield and quality of onion seed overcoming the stated adverse situation. The present research was conducted at the Horticulture Farm, Department of Horticulture, BangladeshAgricultural University, Mymensingh and in the Plant Genetic Laboratory of Bangladesh Institute of Nuclear Agriculture (BINA), Mymensingh during the period from 1999 to 2000 to manipulate the control of growth cycle of onion for high yield and production of quality seed. The results revealed that the number of days required for 80% emergence of bulb, plant height, number of leaves per hill, days required to bolting, number of flower per umbel, number of seed set per umbel were significantly influenced by the temperature treatment. Results showed that seed crop development was accelerated by pre-planting cold treatments. Pre-planting cold treated seed crop enhanced bulb emergence and completed vegetative growth earlier, also early initiation of flower stalks, flowering, fruit setting, maturity and consequently quality seed. From preplanting cold treatment, seed crop was harvested at least 11-14 days before the non-treated ones. DOI: http://dx.doi. org/10.3329/pa.v21i1-2.16748 Progress. Agric. 21(1 & 2): 47 - 55, 2010
Cumulative score charts

Shewhart charts are direct plots of the data and they have the potential to detect departures from statistical stability of unanticipated kinds. However, when one can identify in advance a kind of departure specifically feared, then a more sensitive detection statistic can be developed for that specific possibility. In this paper Cuscore statistics are developed for this purpose which can be used as an adjunct to the Shewhart chart. These statistics use an idea due to Box and Jenkins which is in turn an application of Fisher's score statistic. This article shows how the resulting procedures relate to Wald-Barnard sequential tests and to Cusum statistics which are special cases of Cuscore statistics. The ideas are illustrated by a number of examples. These concern the detection in a noisy environment of (a) an intermittent sine wave, (b) a change in slope of a line, (c) a change in an exponential smoothing constant and (d) a change from a stationary to a non-stationary state in a process record.
Determinants of the online purchase intention: hedonic motivations, prices, information and trust

PurposeThe Internet has changed the nature of purchasing, proof of this being the proliferation of e-commerce sites which have seen their activity grow more quickly due to the COVID-19 pandemic. Therefore, the authors aim to investigate the impact of the consumer's hedonic motivations, price, access to information and trust on the online purchase intention.Design/methodology/approachA quantitative, transversal study of a conclusive nature was carried out. Based on information gathered through a questionnaire administered to a sample of 750 online purchasers, a structural equation model was estimated.FindingsThe results showed that the intention to continue purchasing in online shops is partly explained by access to information online, hedonic motivations and trust in e-commerce sites. It stands out that online information generates trust, and the perception of online prices does not influence loyalty but has a positive influence on hedonic motivations.Research limitations/implicationsAlthough some constructs were ignored, for example, the integration of channels, experiential marketing and the fear of fraud, including unauthorised use of personal details, the study shows that easy access to useful information about products, prices, promotions is an important antecedent of online purchase.Practical implicationsOnline shop managers should pay special attention to e-commerce websites, and the information provided there should explore consumer's hedonic motivations for adventure. Furthermore, it is fundamental to create trust in order to maintain the interest in online shopping.Originality/valueThe estimation of the structural model in the context of online shopping includes the influence of utilitarian motivations (price and access to information), which offer a rational experience and also include emotional motivations (hedonic adventure motivations) on the intention to buy online. The results also revealed that it plays an important role to promote online trust and online loyalty.
Interest rate structured products: can they improve the risk–return profile?

In this paper, we investigate the contribution of interest rate structured bonds to portfolios of risk-averse retail investors. We conduct our analysis by simulating the term structure according to a multifactor no-arbitrage interest rate model and comparing the performance of a portfolio consisting of basic products (zero-coupon bonds, coupon bonds and floating rate notes) with a portfolio containing more sophisticated exotic products (like constant maturity swaps, collars, spread and volatility notes). Our analysis, performed under different market environments, as well as volatility and correlation levels, takes into account the combined effects of risk premiums required by investors and fees that they have to pay. Our results show that capital protected interest rate structured products allow investors to improve risk–return trade-off if no fees are considered. With fees, our simulations show that structured products add value to the basic portfolio in a very limited number of cases. We believe our paper contributes to understanding the role of structured products in investors portfolios also in light of the current regulatory debate on the use of complex financial products by retail investors.
The characteristics of household wastewater and biodegradable solid waste—A proposal for new Swedish design values

The present Swedish design values (DV) for urine, faeces, greywater and biodegradable solid waste were scrutinised and compared to the composition of these fractions in two blocks of flats, Gebers and Ekoporten. For evaluation of the greywater composition, two additional areas were included: the housing area Vibyåsen and a calculation based upon the composition of the sewage sludge in Ryaverken sewage treatment plant in Gothenburg. The parameters scrutinised were dry mass, wet mass, BOD7, COD, N, P, K, Cu, Cr, Ni, Zn, Cd, Hg and Pb. Based on the results, new updated Swedish DV were proposed for these parameters in the fractions urine, faeces, greywater and biodegradable solid waste.
Designing learning success and avoiding learning failure through learning analytics: the case of policing in England and Wales

IMPACT How to effectively develop a framework of learning and development is a central challenge for contemporary organizations. New technologies and educational partnerships have transformed the ways in which professionals learn. This article explains how learning analytics can be used to design blended learning programmes and support learners in an evidence-informed way, so that learning ‘failures’ (withdrawal, underperformance and complaints) can be avoided. The article draws on several case studies, including the current learning and development challenges faced by police organizations in England and Wales, that support the case for learning analytics to achieve success in workforce training.
Duration of Cessation of Smoking before Elective Surgery: Impact on Intraoperative Hemodynamics and Early Postoperative Pain in Developing Country

Aim and Background: It is estimated that up to 20% of patients coming for elective surgery are smokers and carry a risk of perioperative complications. Though smoking cessation and its impact on perioperative outcome are widely investigated worldwide we were unable to find any data in Pakistan. The objective of the study is to determine the impact of the duration of smoking cessation before elective surgery on intraoperative hemodynamics and postoperative pain in Pakistani population. Methods: It was a prospective cohort study conducted at the Aga Khan University Hospital Karachi, Pakistan, for one-year duration. A total of 260 patients scheduled for elective noncardiac surgery under general anaesthesia were recruited. Surgery under regional anaesthesia and minor surgery under general anaesthesia were excluded. Data on self-reported duration of smoking cessation by patients, intraoperative haemodynamics, postoperative pain scores and duration of hospital stay were collected by independently trained data collectors from the preoperative area until the patient is discharged from the hospital. Results: A data from 256 patients were analyzed. On the basis of self-reported duration of preoperative smoking cessation, patients were divided into 4 groups (Group 1: less than 2 days, Group 2: more than 2 days to 7 days, Group 3: more than 7 days to 4 weeks and Group 4: more than 4 weeks). It was found that the longer the duration of cessation of smoking is the less haemodynamic changes and lower postoperative pain scores. Length of stay did not show any difference among all four groups. No major postoperative pulmonary complication was found in any study patient. Conclusions: Duration of cessation of smoking before elective surgery is a significant predictor of intraoperative haemodynamics and early postoperative pain in Pakistani population. A short duration of smoking cessation also helps to avoid some of the adverse effects and reduces perioperative complications.
Route optimization in the removal of radiation hazards

Route optimization is one of the types of jobs peculiar to nuclear facilities. For example, route optimization can be used as a way to minimize the radiation dose to personnel during the dismantling of dangerous radiation equipment. The sequence of jobs affects the total dose exposure of personnel. Also, in the solution of problems there are additional constraints in the form of precedence conditions. These conditions are due to technological constraints on the sequence of dismantling. This problem is similar to the well-known traveling salesman problem, but unlike the classic traveling salesman problem, the cost function depends on the list of outstanding tasks. A version of the method of dynamic programming has been designed to solve this problem and the appropriate software has been created. The developed software to provide estimates reduces personnel exposure in the optimization sequence of dismantling radioactive equipment.
The predictability of implicit causes: testing frequency and topicality explanations

ABSTRACT In discourses involving implicit causality, the implicit cause of the event is referentially predictable, that is, it is likely to be rementioned. However, it is unclear how referential predictability is calculated. We test two possible explanations: (1) The frequency account suggests that people learn that implicit causes are predictable through experience with the most frequent patterns of reference in natural language, and (2) the topicality account asks whether implicit causes tend to play topical roles in the discourse, which itself may lead to the perception of discourse accessibility. With two text analyses we show that implicit causes are frequently rementioned, but only if we consider a narrow set of discourse circumstances, which would require comprehenders to track contingent frequencies. We found no evidence for the topicality account: in two experiments, implicit causality affected predictability but not topicality, and in a corpus of natural speech, implicit causes tended to not occupy topical positions.
Performance Evaluation of a Control Strategy Developed for a Hybrid Energy System Integrated in DC-AC Microgrids

Abstract —Renewable energy is a promising technology to meet the future electricity demand of any country. However, output power produced by renewable energy sources varies intermittently according to the climatic conditions. Hence, interconnection of these renewable energy sources as hybrid energy system is a complicated task. In this article, a DC-AC microgrid structure is proposed to integrate different voltage-current characteristic renewable sources, storage units, local loads, and utility grids. A control strategy is proposed for the effective microgrid power management under grid connected and isolated modes. The proposed control strategy performs (1) prediction of the output power developed by the intermittent nature of renewable energy sources, (2) control of the primary sources, storage unit and utility grid, and (3) schedule loads on priority basis. Simulation studies have been carried out for the performance evaluation of the control strategy developed for the microgrid structure and the results are presented in this article.
Using Improved XGBoost Algorithm to Obtain Modified Atmospheric Refractive Index

Atmospheric refraction is a special meteorological phenomenon mainly caused by gas molecules and aerosol particles in the atmosphere, which can change the propagation direction of electromagnetic waves in the atmospheric environment. Atmospheric refractive index, an index to measure atmospheric refraction, is an important parameter for electromagnetic wave. Given that it is difficult to obtain the atmospheric refractive index of 100 meters (m)–3000°m over the ocean, this paper proposes an improved extreme gradient boosting (XGBoost) algorithm based on comprehensive learning particle swarm optimization (CLPSO) operator to obtain them. Finally, the mean absolute percentage error (MAPE) and root mean-squared error (RMSE) are used as evaluation criteria to compare the prediction results of improved XGBoost algorithm with backpropagation (BP) neural network and traditional XGBoost algorithm. The results show that the MAPE and RMSE of the improved XGBoost algorithm are 39% less than those of BP neural network and 32% less than those of the traditional XGBoost. Besides, the improved XGBoost algorithm has the strongest learning and generalization capability to calculate missing values of atmospheric refractive index among the three algorithms. The results of this paper provide a new method to obtain atmospheric refractive index, which will be of great reference significance to further study the atmospheric refraction.
Career commitment among social workers: The contribution of personal, organizational, and vocational factors

Despite today’s considerable changes in the labor market, studies on the career commitment of social workers remain scarce. The current study focuses on the personal, organizational, and vocational factors of social workers’ career commitment. The study included 251 social workers from various organizations in Israel. Findings show that their career commitment is positively correlated with Protean and Boundaryless career patterns, as well as with their perceived career success. These findings could contribute in developing tools that could increase social workers’ career commitment, which in turn would enable them to be more effective at work, to the benefit of their clients.