Miracle-dz/UniFAR-FTUs huggingface dataset:
The influence of family board involvement on working capital management

While research on long-term capital structures of family and non-family firms is well established, differences in current assets- and liabilities-management are largely under-researched. The aim of the study is to examine whether the type and degree of family involvement in the firm affect the efficiency of working capital management. Employing a partially hand-collected panel of 278 listed firms from 2000–2013 this paper analyzes the impact of family shareholders as owners, managers, and supervisors on working capital handling in Germany. The results show that primarily the share of family members in the executive board increases the length of the cash conversion cycle (CCC), particularly in smaller and non-service firms. Most notably, family management increases the inventory period (DIO). The higher average equity ratio of family firms suggests that family firms may face reduced financing pressure to address such inefficiencies in current assets and current liabilities management. Furthermore, family-managed firms may be less professional in their working capital management. The findings contribute to the literature by showing that in a country with a less investor-friendly corporate governance system, family influences on working capital management are primarily due to management presence, not plain shareholder influence. The results stress the need for researchers to consider the degree of family management involvement when analyzing the financial aspects of family firms.
A low voltage highly linear 24‐GHz down conversion mixer in 0.18‐μm CMOS

A K‐band low voltage, highly linear folded Gilbert cell mixer in 0.18‐μm CMOS is presented. An optimization technique been introduced which is particularly applicable to Gilbert cell type mixers. This technique has been experimentally verified with a down conversion mixer fabricated in a 0.18‐μm CMOS process. Utilizing PMOS devices in the transconductance stage and using a 2‐V supply voltage, the mixer can down convert from 24 GHz to 10 MHz with an input referred third order intercept of +20 dBm and a conversion gain of 2 dB. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 2547–2552, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22759
Circuit-level simulation of transistor lasers and its application to modelling of microwave photonic links

Equivalent circuit models of a transistor laser are used to investigate the suitability of this relatively new device for analog microwave photonic links. The three-terminal nature of the device enables transistor-based circuit design techniques to be applied to optoelectronic transmitter design. To this end, we investigate the application of balanced microwave amplifier topologies in order to enable low-noise links to be realized with reduced intermodulation distortion and improved RF impedance matching compared to conventional microwave photonic links.
Probabilistic Framework for Automated Analysis of Exposure to Road Collisions

The advent of powerful sensing technologies, especially video sensors and computer vision techniques, has allowed for the collection of large quantities of detailed traffic data. These technologies allow further advancement toward completely automated systems for road safety analysis. This paper presents a comprehensive probabilistic framework for automated road safety analysis. Building on traffic conflict techniques and the concept of the safety hierarchy, it provides computational definitions of the probability of collision for road users involved in an interaction. It proposes new definitions for aggregated measures over time. This framework allows the interpretation of traffic from a safety perspective, by studying all interactions and their relationship to safety. New and more relevant exposure measures can be derived from this work, and traffic conflicts can be detected. A complete vision-based system is implemented to demonstrate the approach, providing experimental results on real-world video data.
Development and acceptability of a decision aid for chronic insomnia considering discontinuation of benzodiazepine hypnotics

To describe the development and acceptability of a decision aid (DA) for chronic insomnia considering discontinuation of benzodiazepine (BZD) and benzodiazepine receptor agonist (BZRA) hypnotics, and if discontinuing, tapering with or without cognitive behavioral therapy for insomnia (CBT‐I).
In-Vehicle Alcohol Detection Using Low-Cost Sensors and Genetic Algorithms to Aid in the Drinking and Driving Detection

Worldwide, motor vehicle accidents are one of the leading causes of death, with alcohol-related accidents playing a significant role, particularly in child death. Aiming to aid in the prevention of this type of accidents, a novel non-invasive method capable of detecting the presence of alcohol inside a motor vehicle is presented. The proposed methodology uses a series of low-cost alcohol MQ3 sensors located inside the vehicle, whose signals are stored, standardized, time-adjusted, and transformed into 5 s window samples. Statistical features are extracted from each sample and a feature selection strategy is carried out using a genetic algorithm, and a forward selection and backwards elimination methodology. The four features derived from this process were used to construct an SVM classification model that detects presence of alcohol. The experiments yielded 7200 samples, 80% of which were used to train the model. The rest were used to evaluate the performance of the model, which obtained an area under the ROC curve of 0.98 and a sensitivity of 0.979. These results suggest that the proposed methodology can be used to detect the presence of alcohol and enforce prevention actions.
Kagame’s Ruse in Rwanda: The Debilitating Role of Authoritarianism in Rwanda and its Impact on Long Term, Sustainable Development

Kagame’s Ruse in Rwanda: The debilitating role of Authoritarianism in Rwanda and its impact on long term, sustainable development. by Manuel Grajeda Following the genocide in 1994, Rwanda has been touted as a major, international development success, gaining praise and attention from the international community who place the prosperity of the nation in the hands of Paul Kagame, the leader of the Rwandan Patriotic Front and the country’s current president. Indeed, under the leadership of Kagame the country was able to get through the horrors of mass killings and nationwide destruction and it is true that the country has made a serious turn around in the past 25 years. However, while the country is acclaimed to be a model for developed democracy in the Global South, my research, amongst a plethora of other scholars, has found that the nation is far from, rather portraying a gilded appeal of democracy while a more authoritarian leadership rules over the country. At the initial start of this research, the goal was to analyze how Kagame’s authoritarianism had so much success developing a nation with little to no democratic freedoms in place, but as the research continued it was discovered that the “development” of the nation is more of a ruse and the nation’s economic and political advancement is dependent solely on maintaining an iron grip on people’s view of the country, information and freedom of speech and thought. Internationally, the nation is heavily funded and dependent on foreign aid, which is funneled to a select oligarchy in the country. Political diversity is, overall, nonexistent and leadership has been accused of manipulating economic statistics to continue the ruse of development. In this work, I aim
Design of a Mobile Head Support Based on a Compliant Mechanism

In the Netherlands, approximately 100.000 people have a muscle disease. Often this disease is progressive, so patients’ disabilities get worse over time. They end up in a wheelchair and will be dependent of technical supports. Head s upports are often not used because of poor cosmetics, comfort a nd control. This paper presents a slim, disguisable and body su pported innovative head rest. The prototype is tested in tw o ways: by tilting the setup to simulate accelerations, and ob serving it during a car drive. It proved to withstand accelera tions varying up to around 5 m/s 2 , comparable to normal driving conditions in a bus. Also, the design was tried on a patient. Whi le there remains scope for improvement, the prototype was appreciated by the patient. A Dutch company is willing to furth er develop the design.
Situational judgment tests: An introduction for clinician educators

Although numerous tools exist to assess the clinical knowledge and skills of learners as they progress throughout the health professions curriculum, the measurement of professional attitudes, and behaviors (eg, empathy, integrity, teamwork) remains a challenge for educators. Situational judgment tests (SJTs) are a methodology for assessing how an individual's underlying knowledge, skills, traits, and other attributes are expressed when making decisions about job‐related scenarios. Studies have shown that SJTs can be a valuable predictor of future job performance among health professionals and recent research suggests that they may also be useful for the development of professional attitudes and behaviors. The primary advantage of SJTs is that they permit an assessment of these complex constructs among large groups of test‐takers, making them an appealing alternative or supplement to more resource‐intensive methods, such as situational interviews or objective structured clinical examinations. However, SJT development is a complex process and requires a set of knowledge and skills that may be unfamiliar to many clinician educators (eg, job analysis, assessments of validity, and reliability). The purpose of this review is to provide readers with an introduction to SJTs, including an overview of research to support their use, considerations regarding their content and development, and implications for practice and education.
The Contribution of Cardiac Fatty Acid Oxidation to Diabetic Cardiomyopathy Severity

Diabetes is a major risk factor for the development of cardiovascular disease via contributing and/or triggering significant cellular signaling and metabolic and structural alterations at the level of the heart and the whole body. The main cause of mortality and morbidity in diabetic patients is cardiovascular disease including diabetic cardiomyopathy. Therefore, understanding how diabetes increases the incidence of diabetic cardiomyopathy and how it mediates the major perturbations in cell signaling and energy metabolism should help in the development of therapeutics to prevent these perturbations. One of the significant metabolic alterations in diabetes is a marked increase in cardiac fatty acid oxidation rates and the domination of fatty acids as the major energy source in the heart. This increased reliance of the heart on fatty acids in the diabetic has a negative impact on cardiac function and structure through a number of mechanisms. It also has a detrimental effect on cardiac efficiency and worsens the energy status in diabetes, mainly through inhibiting cardiac glucose oxidation. Furthermore, accelerated cardiac fatty acid oxidation rates in diabetes also make the heart more vulnerable to ischemic injury. In this review, we discuss how cardiac energy metabolism is altered in diabetic cardiomyopathy and the impact of cardiac insulin resistance on the contribution of glucose and fatty acid to overall cardiac ATP production and cardiac efficiency. Furthermore, how diabetes influences the susceptibility of the myocardium to ischemia/reperfusion injury and the role of the changes in glucose and fatty acid oxidation in mediating these effects are also discussed.
Designing classical offset Cassegrain or Gregorian dual-reflector antennas from combinations of prescribed geometric parameters

This paper proposes a simple procedure for the design of classical offset Cassegrain or Gregorian dual-reflector antennas from combinations of prescribed geometric parameters. This procedure has already been applied to classical Cassegrain and Gregorian antennas, to classical displaced-axis Cassegrain and Gregorian antennas, and to classical offset Dragonian antennas. The antenna systems can be fully characterized by 21 parameters, of which only five need to be provided by the antenna designer, as the remaining 16 parameters can be derived in closed form using the procedure described here. In this paper, we assume that the main reflector has a circular aperture, while the subreflector has an elliptical aperture All the antenna geometries presented satisfy the Mizugutch condition (1976), which is the geometric-optics condition for zero cross-polarized radiation. This procedure is very close to the one used for offset Dragonian systems, but all the relevant information is repeated here for completeness.
Victim and Victim Support Staff Experiences of a Domestic Violence Electronic Monitoring Program in Australia

This study investigates the experiences of victims of domestic violence (DV) involved in a bilateral electronic monitoring (EM) program. Semi-structured interviews were conducted with six victims whose associated person of interest participated in an EM program post-release, as well as 13 victim support staff. Thematic analysis revealed seven themes: (1) Safety and validation, (2) Initial anxiety, (3) Minimal intrusion on daily life, (4) Psychological relief and feelings of safety, (5) Freedom to engage in daily activities, (6) Post-EM concerns for safety, and (7) An effective deterrent for some, but not for all. Overall, the experiences reported by victims and support staff were positive and evident of victim-centricity. The main defining experience of the DVEM program for victims was improved feelings of safety during the program and increased autonomy and confidence in going about their daily activities. However, there is an urgent need to consider post-EM safety of victims.
A Proportional Sentiment Analysis of MOOCs Course Reviews Using Supervised Learning Algorithms

When anyone is looking to enroll for a freely available online course so the first and famous name comes in front of the searcher is MOOC courses. So here in this article our focus is to collect the comments by enrolled users for the specified MOOC course and apply sentiment analysis over that data. The significance of our article is to introduce a proficient sentiment analysis algorithm with high perceptive execution in MOOC courses, by seeking after the standards of gathering various supervised learning methods where the performance of various supervised machine learning algorithms in performing sentiment analysis of MOOC data. Some research questions have been addressed on sentiment analysis of MOOC data. For the assessment task, we have investigated a large no of MOOC courses, with the different Supervised Learning methods and calculated accuracy of the data by using parameters such as Precision, Recall and F1 Score. From the results we can conclude that when the bigram model was applied to the logistic regression, the Multilayer Perceptron (MLP) overcomes the accuracy by other algorithms as SVM, Naive Bayes and achieved an accuracy of 92.44 percent. To determine the sentiment polarity of a sentence, the suggested method use term frequency (No of Positive, Negative terms in the text) to calculate the sentiment polarity of the text. We use a logistic regression Function to predict the sentiment classification accuracy of positive and negative comments from the data.
Evaluation and Bibliographic Analyses of EdLAM Literature to Help Early Career Academics

According to the Organization for Economic Co-operation and Development (OECD) (OECD, 2018), in almost half of the 38 OECD-member countries, most of the decisions about organization of instruction, personnel management, planning and structures, and resource management are taken at the school level. This study focused on understanding the current body of EdLAM knowledge to help doctoral students and early career researchers plan, run, and publish their studies. The terms “educational administration”, “educational management”, “educational leadership” were used to search the Web of Science database for studies published between 2000 and 2019. The final data set included 1438 articles. Concepts were examined with cooccurrence analysis using the bibliographic analysis tool, VOSViewer. Citation analysis was employed for ascertaining sources of highly cited articles. Results showed that “educational leadership” was the most studied concepts. Compare: A Journal of Comparative and International Education, and Educational Management Administration and Leadership were found to be those journals with the highest average yearly influence.
SMART HAPPY CITY

Although people perceive architecture in a variety of ways, we firmly believe there are key elements of design that can enrich the human experience, facilitating a path towards human happiness and wellbeing. Through small changes, we can begin making the world a happier place, and architecture is definitely a tool to do so. The environment is essential for all of us, especially since so many of us live in cities; thus, the Egyptian Commission emphasized the value of cities in the lives of so many Alexandrians, by committing to take action in this area. Specific environments have a direct impact on the lives of millions of Alexandrian citizens, and as a result, have a significant impact on the larger environment. More change is required in Alexandria for it to be a Smart Happy City that should offer the kind of quality of life and opportunity that would make people want to live there, make businesses, and want to invest. The main goal is to make Alexandria a Smart Happy City by providing both a common ground and a common language for better understanding use of smart and happy features effectively, specifically to make Alexandria a Smart Happy City within the architecture realm. We explain smart city features, characteristics and happiness factors, and how happiness can be measured. Additionally, we provide examples of smart, happy features. Moreover, we consider what should make Alexandria a Smart Happy City, but as smart solutions cannot be fully reproduced, we evaluate the value of each field.
Mini Wind Plant to Power Telecommunication Systems: A Case Study in Sicily

The ever increasing problems related to air pollution and the difficulties for power lines to reach inaccessible areas are pushing to find new solutions for powering telecommunications equipments (TLC). The renewable energy systems, although relatively expensive, have the required characteristics. The purpose of this work is to find a solution based on a low power wind turbine to serve a real telecommunication site located near Palermo, the main city of Sicily (Italy).
Design optimisation and comparison of tubular permanent magnet machine topologies

The influence of the leading design parameters on the performance of slotless tubular permanent magnet machines, and the relative merits of different tubular linear machine topologies, are deduced from analytical field solutions. The force capability and force ripple are established as functions of a set of dimensional ratios, with due account of magnetic saturation and subject to a specific thermal constraint. The results provide an effective means of making comparative studies and optimising machine designs, and will aid the design process when addressing a given performance specification.
A Remote Experiment Platform for Robotic Control and Simulation

This paper presents a scheme to develop a remote experiment platform for robot. The structure based on Internet and Browser/Server is adopted and discussed. The software of the platform is divided into simulation system, control system, multimedia acquiring system and transaction management system. Finally, the key technique and components are discussed, and CGI application and MATLAB software are recommended. The scheme can also be used in other remote control or measurement system.
A review of methods to measure and calculate train resistances

Abstract This paper discusses a well-known tool for calculating train resistance to motion and its suitability for describing operations at high speed. The tool, originally developed by Armstrong and Swift [1], also permits the estimation of the contribution to aerodynamic resistance of various features of the architecture of a train. They compare this approach with the results of other formulae for calculating train resistance, as well as published measurements taken during experimental work. It is concluded that Armstrong and Swift's expressions can be considered to provide good estimates for the coefficients to the Davis equation for both high-speed and suburban trains that fit the British loading gauge and have a power car-trailer ratio of 1:3 or less without the need for run-down testing. However, the expressions are not suitable for trains with a predominance of powered axles.
Brumby Uninhabited Aerial Vehicle flight dynamics-instrumentation and flight test results

This paper provides information on the design and performance of the instrumentation on the Ohio University Avionics Engineering Center's (AEC) Uninhabited Aerial Vehicle (UAV), the Brumby. In 1999 AEC purchased the delta wing Brumby airframe to conduct UAV related research. Recently the Brumby has been outfitted with instrumentation to collect data allowing for the system identification of the Brumby UAV. The goal was a lightweight (<10 lbs), low-power (<25 watts) data collection system designed to time-stamp and store data from the airdata probe, digital compass, Global Positioning System (GPS) receiver, low cost Inertial Measurement Unit (IMU), and control surfaces. Also presented in this paper is the design methodology used in developing the data collection system, methods of time-stamping the data with precise GPS time, lessons learned about IMU operation in a high vibration environment, as well as the future design path of the avionics.
Detection of wide-band E-M signals emitted from partial discharge occurring in GIS using wavelet transform

Recently, diagnostic techniques have been investigated to detect a partial discharge (PD) associated with a dielectric material defect in a high-voltage electrical apparatus. Gas insulated switchgear (GIS) is an important equipment in a substation, it is highly desirable to measure a partial discharge (PD) occurring in GIS which is a symptom of an insulation breakdown. As it is important to develop a noncontact method for detecting the insulation fault, this paper proposes a new method to detect the wide-band electromagnetic (E-M) wave emitted from PD using the Wavelet transform. The Wavelet transform provides a direct quantitative measure of spectral content, "dynamic spectrum", in the time-frequency domain. This paper experimentally shows the "dynamic spectrum" of the wide-band E-M wave emitted from PD in the time-frequency domain. This method is shown to be useful for detecting the symptom of the insulation breakdown occurring in GIS.
Designing for Reflection in the Context of Sustainable Interaction Design

James Pierce Indiana University at Bloomington Bloomington, Indiana piercejj@indiana.edu Both sustainability and critical reflection have emerged as key areas of interest for interaction design and HCI. This paper reports on two ongoing projects that use reflective designs to promote more conscious consumption of energy and materials. This paper concludes with thoughts on the role of reflection in sustainable interaction design.