Miracle-dz/UniFAR-FTUs huggingface dataset:
Three good things in nature: a nature-based positive psychological intervention to improve mood and well-being for depression and anxiety

Purpose Visiting and connecting with nature through psychological interventions improves well-being within the general population. However, few such interventions have been conducted in clinically relevant populations. This paper aims to address this gap by investigating the effectiveness of a nature-based psychological intervention within a clinically relevant sample. Design/methodology/approach An experimental design using a noticing Three Good Things in Nature (TGTiN) task during a nature based or urban (control) walk was conducted with nature connectedness, well-being, positive and negative affect measured at baseline, post and six-week follow-up. Individuals living with depression and/or anxiety (n = 50; 39 having a diagnosis) were randomly allocated to 30 min walking in nature or urban environments for five consecutive days. Findings An ANCOVA, with age as co-variate, showed a significant effect of time by condition on all variables: nature connectedness ηp2 = 0.34; positive affect ηp2 = 0.42; negative affect ηp2 = 0.66; well-being ηp2 = 0.29. Post-hoc tests indicated a significant increase in nature connectedness and positive affect in the nature versus an urban walk at post and follow-up. Negative affect decreased in the nature walk at post intervention, while well-being was significantly greater in the nature walk at follow-up. Originality/value The TGTiN intervention effectively improves positive affect, and well-being in clinically relevant populations, although replication with a larger sample is warranted.
Accuracy Enhancement of Position Estimation using Adaptive Kalman Filter and Map Matching

It is an essential factor in automatic navigation systems of ground vehicles, railroad and aviation fields which require high stability to detect the global position of vehicles with credibility and accuracy. This paper proposes an approach to estimate the global position of vehicles moving in the predefined path with a set pattern. Because the information of location received by GPS is included various errors, the errors are minimized using GPS error filter and map matching to obtain correct information. The velocity profile is one of key information for the system model of moving vehicles. We propose an estimation scheme using adaptive Kalman filter where the system model is derived from the moving pattern of vehicles. Since there is high probability that the position obtained from the adaptive Kalman filter is deviated from actual road and/or railway path, we remove the error by using map matching technique. The proposed scheme was experimented in position detection of train moving along predefined section of railway.
Test B ed for a Wireless Network on Small UAVs

Small (10kg) UAVs are low-cost low-risk candidates for emerging UAV applications. Examples include multi-UAV swarming, flocking, and sensing operations; or, as a communication relay for a network of ground radios mounted at fixed sites, on vehicles, or in sensors. A key enabler is the ability of the UAVs to communicate with each other and with ground based radios as a distributed peer-to-peer ad hoc network. Such networks allow any two radio nodes to communicate directly or through an arbitrary number of intermediate nodes which act as relays. Thus, understanding the performance of such networks in these UAV scenarios is necessary to understand the limits of multi-UAV operations. The University of Colorado has developed and built a wireless network test bed using IEEE 802.11b (WiFi) radio equipment mounted on small low-cost UAVs. This paper describes the testbed and its monitoring architecture. The testbed gives detailed data on network throughput, delay, range, and connectivity under different operating regimes. These results enable us to better document and characterize real ad hoc network behavior among UAVs.
Application of genetic algorithm to the optimal‐chilled water supply temperature calculation of air‐conditioning systems for saving energy

The values of chilled water supply temperatures of chillers indicate their load distributions due to the chilled water return temperatures of all chillers being the same in a decoupled air‐conditioning system. This study employs genetic algorithm (GA) to find out the chilled water supply temperatures of chillers for solving optimal chiller loading (OCL) problem. GA overcomes the flaw that Lagrangian method is not adaptable for solving OCL as the power consumption models or the kW‐PLR (partial load ratio) curves include non‐convex functions. This study uses the chilled water supply temperature as the variable to binary code chromosomes, and execute reproduction, crossover and mutation operation. After analysis and comparison of the case study, it has been concluded that this method not only solves the problem of Lagrangian method, but also produces results with high accuracy within a rapid timeframe. It can be perfectly applied to the operation of air‐conditioning systems. Copyright © 2007 John Wiley & Sons, Ltd.
Classification of Hypertensive and Normotensive Subjects Using Bilateral Differential Biopotential Signals

Hypertension or high blood pressure is a severe health issue in the modern world, especially in this pandemic scenario, that can cause many heart related diseases or even death, and it is increasing day by day. For this reason, a reliable, automatic and easy to use system for hypertensive subject detection is an important focus for the researchers. Biopotential signals can play a pivotal role in this regard. Though, few strategies were proposed based on electrocardiogram (ECG) or electrodermal (EDA) signals, but those require special circuitry, as well as trained persons. In this article, a method is proposed to classify hypertensive and normotensive subjects using differential biopotential signals. Neither special circuitry, nor much expertise is required for handling this system. It was assumed that progression of rest is dependent upon blood pressure. To serve the purpose, signals were acquired from both hypertensive and normotensive subjects bilaterally for 10 continuous minutes. Result of the random forest (RF) classification establishes that from the analysis of the progression of the bilaterally acquired differential biopotential signals, hypertensive subjects can be distinguished from normotensive subjects.
Distortion and impairments mitigation and compensation of single- and multi-band wireless transmitters (invited)

Transmitter digital domain linearisation solutions are constantly evolving to extract optimum benefits in terms of cost, performance and flexibility. This study highlights the current and futuristic trends in the arena of transmitter system modelling and digital domain compensation for radio frequency distortions of non-linear power amplifiers and wireless transmitters in case of single-band wireless transmitter, which is further extended to a dual-band transmitter. Indeed, the dual-band transmitter results in severe non-linear distortion as compared to the single-band transmitter when operated in concurrent mode, due to the additional inter-modulation products generated by the dual-band transmitted signals. Hence, in addition to the intermodulation products and memory effects exhibited in a single-band transmitter, the cross-modulation effects of the dual-band signals should be compensated for as well in a dual-band transmitter. The effects of the modulator imperfections such as gain and phase imbalances, phase errors and DC offsets and their impact on the feedback loop of a digital predistortion system are also analysed. A thorough comparison between the state-of-the-art behavioural models and their application to digital predistortion technique of power amplifier is presented in terms of performance and complexity. Model performance assessment is discussed through simulation and experimental results for both single- and dual-band systems.
Cultural Integration of Cross-Border M&A Activities in the Chinese Auto Industry : Case Study: the Acquisition of Geely and Volvo

Author Ruoling Wan Title Cultural Integration of Cross-Border M&A Activities in the Chinese Auto Industry Year 2015 Language English Pages 57 + 4 Appendices Name of Supervisor Rosmeriany Nahan-Suomela Along with the development and strategy change of Chinese economy, an increasing number of Chinese companies tend to start their globalization via cross-border mergers and acquisitions. However, the huge cultural differences usually cause cultural conflicts, which can be great challenges and obstacles to companies who are seeking to develop overseas. Thus, in the post-merger stage, it is significant for Chinese companies to pay enough attention to cultural integration in order to improve the success rate of cross-border M&A activities. This thesis introduces the current situation of the Chinese auto industry and analyzes their performances after M&A activities. Then, cultural integration in the Chinese auto companies’ cross-border M&A activities is introduced and the acquisition between Geely Holding Group and Volvo Car Corp is studied as case company to make further research. The theoretical part of the thesis introduces Hofsted’s 6D-model to analyze national culture difference between China and Sweden, uses Schein’s theory to compare company culture difference between Geely and Volvo, and applies Berry, Nahavandi and Malekzadeh’s models in order to find the proper process and model for their cultural integration. A qualitative research method is chosen and employees from Geely and Volvo are selected as interviewees when I collect the company cultural differences from both companies. The result illustrates that the cultural integration process would be suitable if using “separation model” at the beginning stage and then using “integration model”.
Extending the effective index method for arbitrarily shaped inhomogeneous optical waveguides

A procedure for computing the propagation constant and field distribution for modes of dielectric waveguides with arbitrary cross-sectional shape and refractive index profile is described. This procedure, based on the effective index method, can be applied to a wide range of problems. The authors compare their results with those obtained by other methods for a circular dielectric waveguide with parabolic index profile. >
Combined AC corrector magnets

Conceptual designs have been made for two types of multipole corrector magnets for use in TRIUMF's proposed KAON Booster ring which operates at 50 Hz. The lack of space in the synchrotron lattice makes it attractive to combine dipole, quadrupole and sextupole correctors in the same yoke structure. A conventional constant current density winding design is compared with an alternative magnet with twelve poles and windings distributed in slots and at the pole faces. The problem of induced voltages in the windings is discussed. <<ETX>>
HAZARD-BASED DURATION MODELS AND THEIR APPLICATION TO TRANSPORT ANALYSIS.

A number of transport‐related phenomena deal with a time element that defines the duration until an event's occurrence. Examples include the time that transpires until a trip is made, the length of time a commuter delays a trip departure to avoid traffic congestion, and the time until a newly introduced mode is used. Hazard‐based duration models, which have enjoyed widespread use in a number of non‐transport fields (e.g. economics, biostatistics), are an obvious choice for modelling such transport phenomena. The objective of this paper is to present hazard‐based models, in a general way, to individuals interested in transport problems. In so doing, every effort is made to avoid a jargon‐laden approach that typifies current articles and texts on the subject. It is hoped that such a presentation, along with an overview of existing transport applications of such models, will lead to an increased use of hazard‐based duration models in transport.
Considering the effect of diffraction on the scaled optical Fourier transform

Analogue Optical Signal Processing is a very important area in optics and central to it, is the implementation of the Optical Fourier Transform (OFT). There are many bulk optical arrangements for implementing the OFT however one which is particularly popular is the Scaled Optical Fourier Transform (SOFT) because it offers the user to the ability to change the size or scale of the output Fourier distribution. In this paper we examine the some of the practical limits introduced by the use of a cylindrical lens of finite aperture. We examine the phase and intensity deviations and provide simple rules of thumb, which allows the cautious user to, not only avoid, but also to quantify the worst case errors arising due to diffraction.
DNA Barcoding of Two Gonioctena Species (Coleoptera: Chrysomelidae) Described from the Korean Peninsula

Eleven Gonioctena species have been recorded in the Korean Peninsula. Most species in the genus have very similar coloration and morphology. The male genitalia is generally used as the only reliable diagnostic character differentiating closely related species, but it is still difficult to identify females to species accurately. Here, we determined the COI barcodes of two Gonioctena species described from Korea and give morphological descriptions. The interspecific genetic divergence (Kimura 2-parameter) among the Gonioctena ranged from 0.073 to 0.138 and averaged 0.108. The pairwise genetic distance between the two Korean species (0.102) is similar to the average interspecific divergence. We predict that these analyses will help to resolve taxonomic issues and find cryptic species.
Comparative analysis of cooperative & non-cooperative farmers in Kosovo

As reported by the GDP per capita Kosovo is one of the poorest countries in Europe. Relying on the importance and dependence of Kosovo`s economy, it is evident that the development of agriculture sector is among the prime concern of the country`s strategy and international support programs. Several international studies assess the potential of agricultural cooperatives in transforming traditional agricultural farms to modern market-oriented business units, accelerating growth and addressing rural poverty. This research aims to analyze the relationship between socio-demographic, agricultural, and economic factors pertaining to cooperative and noncooperative farmers in Kosovo and also shows their motivation and expectation related to agricultural practice and behavior. Primary data was collected in 2018 form 165 farmers through semi-structured questionnaires. Data were analyzed using descriptive statistics, Chi square and T-test. The results indicated that there was a significant difference (p<0.01) between cooperative and non-cooperative farmers in various factors. Results indicated that the cooperative farmers have agricultural education, more family members are engaged in agricultural activity, have more access to seasonal employees, sharing machinery, higher readiness to invest in machinery with other farmers, and a high level of trust, they mostly operate in vegetable production and have higher income. Furthermore, the results showed differences in sales chain between two groups of farmers. The results contribute to governmental and non-governmental agencies to encourage farmers to establish/join viable cooperatives.
Ultra-wideband RF helmet antenna

This paper addresses the development of an ultra-wideband, vertically polarized communications antenna integrated into the camouflage cover of a standard military-issue Kevlar helmet. The helmet camouflage cover antenna (referred to as the "helmet antenna") is one of three antennas based on the antenna COMbat Wear INtegration (COMWIN) concept developed at the Naval Postgraduate School (NPS) for the man-portable implementation of the new Joint Tactical Radio System (JTRS) with a 2 MHz to 2000 MHz operating frequency range . The results of computer simulations and prototype measurements for the helmet antenna are presented.
Application of factor analysis in a large‐scale industrial wastewater treatment plant simulation using principal component analysis–artificial neural network hybrid approach: (Case Study: Fajr Industrial Wastewater Treatment Plant, Mahshahr, Iran)

The effective operation of industrial wastewater treatment plants is quite complicated due to having diverse qualitative and quantitative variations in their effluent characteristics during a day. In this article, we take full advantages of well‐known prediction models to acquire an applicable and constructive operation over industrial treatment plants. We combine multilayer perceptron feed forward neural networks with Levenberg–Marquardt training function (Trainlm) and principal component analysis method to estimate pH, chemical oxygen demand, total dissolved solid, Cl−, turbidity, and achieve appropriate operation of Fajr petrochemical industrial treatment plant for the first time in Iran. Moreover, factor analysis approach was applied to determine the paramount input parameters of the models to reduce the parameters' dimension. Mean square error, root mean square error, and correlation coefficient (R) were used for evaluating the performance of the models. Results indicate that correlation coefficients (R) in the range of 0.8–0.94 showed excellent accuracy of the models in estimating qualitative profile of wastewater. Simulation of a whole treatment plant, better prediction of parameters, and proposing a new hybrid model could be some advantages of this study. © 2015 American Institute of Chemical Engineers Environ Prog, 34: 1322–1331, 2015
Design Process Modeling with BCA Green Mark

Green Mark is a Singapore based green building rating system launched in January 2005 by the Building and Construction Authority (BCA). It adopts a checklist scoring system to assess two sets of criteria namely, the Residential Building Criteria and Non-Residential Building Criteria, in five environmental impact categories. Each requirement is credited with some numerical points assigned based on the degree of compliance with the applicable criteria and the scoring methodology. However, there is little description about process to serve as a guideline on how to design and develop a green building. In this paper, we present a method for mapping the Green Mark scheme to process model, based on which a design firm can model its own design work flow and integrate it with the Green Mark process model. This helps achieve more integrated and efficient management of work flow and data flow with a strong focus on Green Mark implementation.
Utilization of Software Tools for Uncertainty Calculation in Measurement Science Education

Despite its importance, uncertainty is often neglected by practitioners in the design of system even in safety critical applications. Thus, problems arising from uncertainty may only be identified late in the design process and thus lead to additional costs. Although there exists numerous tools to support uncertainty calculation, reasons for limited usage in early design phases may be low awareness of the existence of the tools and insufficient training in the practical application. We present a teaching philosophy that addresses uncertainty from the very beginning of teaching measurement science, in particular with respect to the utilization of software tools. The developed teaching material is based on the GUM method and makes use of uncertainty toolboxes in the simulation environment. Based on examples in measurement science education we discuss advantages and disadvantages of the proposed teaching philosophy and include feedback from students.
Women and Matrimony: A Study of Mona Lisa Smile

This study intended to use the film Mona Lisa Smile (1993) as an example to examine how women in the traditional generation of 1950 were gender stereotyped and used to trade themselves off through marriage in consideration of a cost-and-benefit analysis. However, as the change of women’s gender consciousness from the conservative to the feminist in the USA of 1950, women began to realize their potential and subjectivity, hence questing for liberal spirit and autonomy to choose their career and husbands based on love. The researchers used the qualitative method, with both the primary and secondary data, to facilitate a latent-content analysis. After conducting a content analysis of the film and the script of Mona Lisa Smile, the researchers took notes regarding gender stereotyping and conventional gender norms in social interactions and conducted a literature review of Becker’s side bet theory and Homan’s social exchange theory to investigate how women in America in the 1950s were disciplined to meet the expectation of social norms to fit the notion of conventional matrimony, and how people, both men and women, while choosing their mates, seek the maximum interest and minimum cost. The film Mona Lisa Smile lets readers have a chance to see the transformation of a marital relationship from the old days to modern ones. With raised gender consciousness, women may now subject their choices to their own will and, hence, apply a different definition to the word “marriage. ”
A Current Sensorless MPPT Control Method for a Stand-Alone-Type PV Generation System

In this paper, a current sensorless MPPT control method for a stand-alone-type PV generation system is proposed. This control method offers advantages of the simplified hardware configuration and the low cost, by using only one sensor to measure the PV output voltage. In the application to stand-alone-type with a battery load, the experimental results show that the estimated values of PV output current are accurate, and the use of the proposed MPPT control increases the PV generated energy by 16.3% compared to the conventional system. Furthermore, it is clarified that the proposed method has extremely high UUF (Useful utilization factor) of 98.7%.
AERODYNAMIC MODELING AND PERFORMANCE ANALYSIS OF A SHROUDED-FAN UNMANNED AERIAL VEHICLE

This paper deals with the estimation of the aerodynamic coefficients and performance analysis for a shrouded-fan unmanned aircraft. The complexity of the flo w around this kind of vehicles in conjunction with the strong interaction between fan flo w and the velocity field about the fuselage, make the aerodynamic coefficients computation a very difficult task. The purpose of this paper is to formulate, by means of the Lagrangian approach, an aerodynamic model for the determination of the aerodynamic coefficients of the shroud, suitable for performance analysis.
Natural language processing based advanced method of unnecessary video detection

In this study we have described the process of identifying unnecessary video using an advanced combined method of natural language processing and machine learning. The system also includes a framework that contains analytics databases and which helps to find statistical accuracy and can detect, accept or reject unnecessary and unethical video content. In our video detection system, we extract text data from video content in two steps, first from video to MPEG-1 audio layer 3 (MP3) and then from MP3 to WAV format. We have used the text part of natural language processing to analyze and prepare the data set. We use both Naive Bayes and logistic regression classification algorithms in this detection system to determine the best accuracy for our system. In our research, our video MP4 data has converted to plain text data using the python advance library function. This brief study discusses the identification of unauthorized, unsocial, unnecessary, unfinished, and malicious videos when using oral video record data. By analyzing our data sets through this advanced model, we can decide which videos should be accepted or rejected for the further actions.