Miracle-dz/UniFAR-FTUs huggingface dataset:
DESIGN GUST WIND SPEEDS IN THE UNITED STATES

Analysis of gust winds in the United States has resulted in a new wind speed map for design-level winds. The map is based on 50-year peak gust speeds rather than fastest mile speeds used in the national wind load standard ANSI/ASCE 7-93. The change in gust duration is necessary because the fastest mile wind record has ended. A new technique was used to reduce variability due to sampling error in non-hurricane areas. Individual stations were demonstrated to be statistically independent and were combined as regional superstations. The purpose was to decrease sampling error by effectively increasing sample length. Wind speeds on the hurricane coast were converted from fastest mile to peak gust using new information on gusts in hurricanes. In addition, three Monte Carlo studies of hurricane speeds were considered in place of the one study available for the earlier map. Wind speeds for various return periods are presented.
Innovation and wages constrained with budgetary deficit and unemployment in the European Union countries

Abstract This paper aims to research the driving forces of wages across the countries of the European Union (EU-28) during the period 2006-2018. We apply structural equation modelling to analyse relationships between observed variables and latent variables, focusing on factors explaining wages. Based on the literature review, we hypothesized that innovation, budgetary deficit and the rate of unemployment predict wages across EU-28 countries. Our results suggest that innovation is a significant factor in explaining wages. The budgetary deficit has a significant negative impact on wages, while the effect of rate of unemployment is insignificant. The findings of our research underline the importance of policies that accelerate the growth in labour productivity, particularly those which boost innovation and ensure macroeconomic stability, efficient markets, and an adaptable and skilled workforce.
Cultural Influences on Chinese Consumers’ Intentions to Purchase Apparel: Test and Extension of the Fishbein Behavioral Intentional Model

There were two objectives of this study: (a) to test the cross-cultural applicability of the Fishbein Behavioral Intentional Model by studying Chinese consumers’ purchase intentions for apparel made in the United States and (b) to examine whether culture could enhance the validity of the model. Parents (N = 2,017) of students in the public school systems of Beijing, Shanghai, and Guangzhou completed usable questionnaires. Attitude toward purchasing apparel made in the United States (Ab) significantly influenced Chinese purchase intentions for that apparel (BI), but subjective norms (SN) did not. The validity of the Fishbein model may be product dependent, with culturally symbolic products influenced by both attitude and subjective norm, and products less culturally symbolic influenced only by attitudes. Adding cultural components to the Fishbein model enhanced its ability to explain purchase intentions.
A 5.9-16.3 GHz agile tuning source using wideband millimeter wave MMIC circuits

An agile tuning voltage-controlled oscillator (VCO) assembly which covers a wide tuning range with a single control voltage has been developed. The VCO assembly achieved a frequency output of 5.9-16.3 GHz using a single silicon varactor over the tuning range of 0-20 V. The VCO assembly was realized by combining specially designed wideband millimeter-wave VCO/doubler, mixer, and dielectric resonator oscillator (DRO) monolithic microwave integrated circuit (MMIC) chips. <<ETX>>
Efficient techniques for widening the passband of a wavelength router

The wavelength response of the waveguide grating router plays an important role in optical networks, for it determines the maximum number of channels, the minimum channel separation, and the level of isolation between channels. One would like in general the router to approximate a rectangular response without exceeding a specified loss. Here, we show how the best approximation obtained for a given loss depends on the filter complexity, the total number of arms, and the specified tolerance to fabrication errors. We derive explicity the minimum loss required to produce a given approximation, and show that the filter design is primarily determined by two parameters, the ratio of channel spacing to passband width and the passband flatness. We determine explicitly the optimum design conditions. We show that the loss can be entirely eliminated by concatenating two routers, synchronized so as to produce a unitary transformation over a finite passband.
A study of Econometric linkage between SHRM practices and performance of the organization

: Empirical relationship between Human resource practices and performance of the organization has been tested in this research paper. Empirical evidence of positive association between organization performance and Human Resource Management (HRM) has been published however it is difficult to demonstrate a causal link. It has provided mix findings as some empirical research has tried to shed more light on these issues. A field survey using questionnaire was conducted to test the preposition. The main mass of our sample is consisting on public and private sector organization’s employees. Employees who are actively involved in working life had been included in convenient sampling method and these forms were handled to those employees. From Lahore region a total of 450 questionnaires, 174 were timely returned and replied and 140 were able to include in our analysis. For the purpose of hypothesis testing ANOVA single factor was applied to test the significance level between variables and further significance was tested on results of ANOVA by applying t-test statistics. ANOVA single factor shows that all variables are statistically significant with each other and t-test further verified that the significance is not present between performance, business strategy and performance appraisal values. All other variables are statistically significant with performance of the organizations.
A unified approach to main flux saturation modelling in D-Q axis models of induction machines

Main flux saturation is most frequently modelled by selecting either stator and rotor d-q axis currents or stator and rotor d-q axis flux linkages as state-space variables. This paper attempts to unify main flux saturation modelling in d-q axis models of induction machines by presenting a general method of saturation modelling. Selection of state-space variables in the saturated machine model is arbitrary and appropriate models in terms of different state-space variables result by application of the method. A couple of models, obtainable with different selection of state-space variables, are presented. The cross-saturation effect is explicitly present in all the models, except for the one with stator and rotor flux linkage d-q axis components as state-space variables. The models are verified by simulation and experimental investigation of induction generator self-excitation. >
Post-Occupancy Evaluation and Design Quality in Brazil: Concepts, Approaches and an Example of Application

Abstract This article aims to describe the origins and evolution of post-occupancy evaluation (POE) activities in Brazil. This methodology was consolidated in the Brazilian academic field in the mid-1990s. Whenever possible, parallels between activities carried out in this country and abroad are pointed out. Emphasis is given to the possibility of using POE to improve design quality, especially in architecture, and its use in the management of designing processes. In this sense, the article shows the benefits of POE studies applied in different types of occupancies. Specifically, a case study of school building is presented. Finally, a number of conclusions are drawn regarding prognoses as to the limits of its use in the professional practice of architects, urban planners and designers. The POE's potential to provide feedback for positive design practices, benchmarks, and for updating building codes and standards is also discussed.
THE IMPACTS OF CLIMATE CHANGE ON WATER STRESS SITUATIONS IN THE YELLOW RIVER BASIN, CHINA

This paper used a back‐propagation (BP) neural network to conduct statistical downscaling based on the data (two factors: precipitation and temperature) downscaled by the National Climate Centre of China from over 20 global circulation models (GCMs) and input these downscaled data into the Basin‐wide Holistic Integrated Water Assessment (BHIWA) model to analyse irrigation water demand as well as water stress situations in both water quantity and quality in the Yellow River Basin, China. The results of the changes in climate in scenarios A1B, A2 and B1/B2 showed that irrigation water demand will increase and the water situation will become more stressed in 2030 and 2050, though there is still some increase in precipitation in most of the sub‐basins in these scenarios. Meanwhile, with the same variation range of precipitation and ET0, ET0 will have a bigger impact on irrigation water demand and water stress situations than precipitation, This implies that ET0 is a more dominant factor influencing water demand and water stress situations than other meteorological parameters such as precipitation. In addition to this, groundwater quality is more vulnerable to climate change than surface water quality and better water management will result in a decrease in irrigation water demand. Copyright © 2013 John Wiley & Sons, Ltd.
Difficulties in Remote Learning: Voices of Philippine University Students in the Wake of COVID-19 Crisis

Most educational systems across the world have migrated to remote learning modality as a measure against the spread of the coronavirus disease 2019 (COVID-19). This phenomenon is causing a lot of difficulties especially as voiced out by students in the context of developing countries. This paper attempts to describe the difficulties in remote learning of university students in the Philippines in the wake of the COVID-19 crisis. Following a mainly qualitative research design, this study surveyed a pool of purposively and conveniently selected students currently enrolled in a tertiary institution. The result of the content analysis revealed the following categories of difficulties in remote learning: unstable internet connectivity; inadequate learning resources; electric power interruptions; vague learning contents; overloaded lesson activities; limited teacher scaffolds; poor peer communication; conflict with home responsibilities; poor learning environment; financial related problems; physical health compromises; and mental health struggles. Based on the result, cogent recommendations are discussed at the end of the study.
Hybrid Genetic Algorithm with Simulated Annealing for Resource-Constrained Project Scheduling

AbstractResource-constrained project scheduling problem (RCPSP) is a very important optimization problem in construction project management. Despite the importance of the RCPSP in project scheduling and management, commercial project management software provides very limited capabilities for the RCPSP. In this paper, a hybrid strategy based on genetic algorithms, and simulated annealing is presented for the RCPSP. The strategy aims to integrate parallel search ability of genetic algorithms with fine tuning capabilities of the simulated annealing technique to achieve an efficient algorithm for the RCPSP. The proposed strategy was tested using benchmark test problems and best solutions of the state-of-the-art algorithms. A sole genetic algorithm, and seven heuristics of project management software were also included in the computational experiments. Computational results show that the proposed hybrid strategy improves convergence of sole genetic algorithm and provides a competitive alternative for the RCPSP.
STATUS OF POLLUTANTS IN NSUDU-RIVER, OKWOYI ISIEKE IBEKU UMUAHIA NORTH, LOCAL GOVERNMENT AREA OF ABIA STATE FOR DRINKING PURPOSE

This study examines the status of pollutants in Nsudu River for drinking water purpose. Water samples were collected from Nsudu River and analyzed at Enugu State Water Corporation (quality control unit) laboratory. Physical, chemical and bacteriological tests were conducted on the collected samples following standards and acceptable methods of water analysis. The results obtained showed that turbidity, total solid, total suspended solid, total dissolved solid, alkalinity, electrical conductivity, pH, total hardness, calcium, magnesium, iron, chloride, etc. conformed with the acceptable limits stipulated by both World Health Organization (WHO) and Nigerian standard for Drinking Water Quality (NSDWQ) with the exception of the biological parameters which were found to be above the standards stipulated by the two bodies. More so, ANOVA results showed (P < 0.01) and (F-test of 12094 > F-crit. of 6.9) indicating significant difference between the biological contaminants
The linear theory of free vibrations of a suspended cable

A linear theory is developed for the free vibrations of a uniform suspended cable in which the ratio of sag to span is about 1:8, or less. Both in-plane and out-of-plane motion is considered. It is shown that the analysis of the symmetric in-plane modes is heavily dependent on a parameter which allows for the effects of cable geometry and elasticity. The results of simple experiments are reported which establish the validity of the theory.
Improvement of Heavy Rainfall Simulated with SST Adjustment Associated with Mesoscale Convective Complexes Related to Severe Flash Flood in Luwu, Sulawesi, Indonesia

Flash flooding is an important issue as it has a devastating impact over a short time and in a limited area. However, predicting flash floods is challenging because they are connected to convection systems that rapidly evolve and require a high-resolution forecasting system. In addition, modeling a case study of a mesoscale convective complex (MCC) is the key to improving our understanding of the heavy rainfall systems that trigger flash floods. In this study, we aim at improving modeling skills to simulate a heavy rainfall system related to flash-flood-producing MCCs. We simulated a heavy rainfall event related to a severe flash flood in Luwu, Sulawesi, Indonesia, on 13 July 2020. This flood was preceded by persistent heavy rainfall from 11 to 13 July 2020. In this case, we investigated the role of sea surface temperature (SST) in producing the persistent heavy rainfall over the region. Therefore, we explore the physical and dynamic processes that caused the heavy rainfall using a convection-permitting model with 1 km resolution and an experiment comparing the situation with and without updated SST. The results show that the heavy rainfall was modulated by the development of a pair of MCCs during the night. The pair of MCCs was triggered by a meso-low-pressure system with an anti-cyclonic circulation anomaly over the Makassar Strait and was maintained by the warm front passing between the sea and land over central Sulawesi. This front was characterized by moist–warm and cold–dry low-level air, which may have helped extend the lifetime of the MCCs. The north-westward propagation of the MCCs was due to the interaction between predominantly a south-easterly monsoon and SST anomalies. This study suggested that the long-lived (>10 h) MCCs (>80,000 km2 cloud shield) and persistent precipitation are reproduced well in the updated SST scenario in the WRF model. This relatively simple technique in the running model provides a new strategy for improving flash flood forecasting by better predicting rainfall as an input in the hydrological model. Our findings also indicated a long-lived MCC maintained by back-building mechanisms from night to morning inland as an exceptional MCC, which does not correspond to a previous study.
SURVEY OF MOSQUITO SPECIES, COMPOSITION AND BREEDING HABITATS IN FOUR COMMUNITIES OF KADUNA METROPOLIS, NIGERIA

A survey on the species composition and breeding habitats of mosquitoes was conducted in four communities of Kaduna metropolis (Nariya, Tudun Wada, Kabala Doki and Sabon Tasha) through intensive bi-weekly sampling collection of larvae for a period of three months. All the randomly selected sampling points were categorized into three habitat types; Domestic Container (DC), Temporary Ground Pool (TGP) and Man-made Reservoir (MMR). All 3rd and 4th instar larvae were harvested and identified using taxonomic keys by Gillies and Coetzee. A total of 6,803 larvae samples were encountered and identified across the four communities. There were thirteen species which fall within the three common genera comprised of Culex species (94.19%), Aedes species (4.8%) and Anopheles (0.10%). Of the thirteen species identified, Culex quinquefasciatus Say, 1823 (72.8%) was significantly high (p<0.05), then Culex toroensis Edwards(12.05%) and Aedes aegypti Linnaeus (4.8%). Temporary ground pool (61.7%) harbored more mosquito larvae; however there was no significant difference (p>0.05) in distribution of mosquitoes among the three habitat types sampled; The study identified medically important mosquito species in the four communities and recommends integrated control measures for these vectors especially in line with National Malaria Control strategy 2016 - 2030 for global reduction of malaria disease
Can Thin Capitalization And Transfer Pricing Activities Reduce The Tax Burden

The purpose of this research is to examine the effect of thin capitalization and transfer pricing as a vehicle for companies to reduce their corporate tax burden. The research method used is a quantitative-explanation, with the proxy of tax avoidance is ETR. This research found that thin capitalization activities and transfer prices have a negative and significant effect on tax avoidance. This research also found that institutional ownership strengthens the effect of thin capitalization and transfer pricing on tax avoidance. This research contributes to the literature on using the PLI ratio, namely ROCE as a measurement tool for transfer pricing activity, which provides a new methodological contribution to tax avoidance research through transfer pricing activities in Indonesia's manufacturing companies. This study proves that Return On Capital Employed can be used as a transfer pricing activity measure.
ICRAM-1: Model for International Construction Risk Assessment

This paper presents a risk assessment model for international construction projects. The International Construction Risk Assessment Model (ICRAM-1) assists the user in evaluating the potential risk involved in expanding operations in an international market by analyzing risk at the macro (or country environment), market, and project levels. The paper discusses some of the existing models for country risk assessment, presents potential risk indicators at the macro, market, and project levels, and explains the ICRAM-1 methodology through an applied example. The ICRAM-1 provides a structured approach for evaluating the risk indicators involved in an international construction operation and is designed to examine a specific project in a foreign country. It can be used as a tool to quantify the risk involved in an international construction investment as one of the preliminary steps in project evaluation. Four main results are obtained from the ICRAM-1 analysis: (1) High-risk indicators; (2) impact of country .
MENSTRUAL CYCLE RELATION WITH ANXIETY AND OTHER PSYCHOLOGICAL SYMPTOMS IN WOMEN

: Background: The menstrual cycle in women is characterized by high variability in cycle length with variable associated physiological and psychological changes along different phases. The premenstrual period was associated with a rise in negative psychological symptoms like anxiety, depression and fatigue. Mood and behavioral changes such as irritability, stress, mood fluctuations, exhaustion, and food cravings are all signs of premenstrual syndrome (PMS) that occur within a few days of menstruation during the luteal process. Objective: The main objective of this study is to highlight the role of menstrual cycle phase in anxiety among Saudi women . Methods: A community based cross-sectional study was conducted in different regions of Saudi Arabia from the period of 1 September to 30 November 2020. Data was compiled and analyzed using statistical package for the social sciences (SPSS, version 16) and results were analyzed with frequencies and Chi-squared test as appropriate. P value was considered significant if <0.05. Results: 56.4% of women suffer from anxiety before or during menstruation. 70.6% of women reported anxiety before menstruation, 27.8% during menstruation and only 16% after menstruation. 42.1% reported anxiety every month, 46.6% reported prevention of menses due to anxiety and 23.7% reported that anxiety affects duration of menses. 47.3% feel depressed before menstruation, 14% have panic attacks during menses and 38.4% reported sleeping disturbance during menstruation. Conclusion: Anxiety and stress adversely affects the menstrual cycle. There was a significant correlation between anxiety and duration of the menstrual cycle, severity of bleeding and menstruation prevention Health professionals should facilitate good self-care to increase the quality of life of women of reproductive age.
3-axis vibration performance of a compact sapphire microwave oscillator

The performance of a compact sapphire microwave oscillator under vibration is measured in three orthogonal axes, and net vibration sensitivity is determined as less than 5 /spl times/ 10/sup -10/ per g. This result is compared with the vibration sensitivity of other oscillator technologies reported in the literature, together with other important oscillator characteristics.
Impact of change orders on labor efficiency for electrical construction

Change orders are a source of many disputes in today's construction industry. The issue at hand is whether or not the execution of change orders work has a negative impact on overall labor efficiency on a construction project. Previous literature demonstrates evidence that change orders affect labor efficiency. Attempts have been made to quantify these impacts by many researchers, with limited success. Using the electrical construction industry, a research study has been conducted to quantify the impacts of change orders on labor efficiency. In this paper, results of hypothesis testing and regression analysis are presented. A linear regression model that estimates the loss of efficiency, based on a number of independent variables, is also presented. The independent variables used in this model are (1) qualitative and quantitative criteria used to determine whether projects are impacted by changes or not; (2) the estimate of change order hours for the project as a percentage of the original estimate of work hours; (3) the estimate of change order hours for the project; and (4) the total number of years that the project manager had worked in the construction industry. Additional projects were used to validate the model, with an average error rate of 5%. The results of this research study are useful for owners, construction managers, general contractors, and electrical specialty contractors, because they provide a means to estimate the impact of a change order under certain project conditions. This research also identifies factors, which, when understood and effectively managed, may be used to mitigate the impact of a change order on project costs and efficiency.