Miracle-dz/UniFAR-FTUs huggingface dataset:
Ethical and Social Consequences of Dogmatism in Society

The word "dogma" is derived from the Greek word (δόγμα) that means literally "that which one thinks is true". Dogmatism, from a philosophical point of view, reflects the non-dialectical and metaphysical ideas that are not tested and challenged in certain historical circumstances. People, who are saying “No” against other people's ideas and innovations, are known as dogmatic and zealous people. Such people carry the uncritical way of thinking, and they assume that their constant beliefs are unmistakable truths that can be invoked at any time and place. They accept a series of beliefs without the slightest criticism and apply them stereotypical in new conditions, without analyzing and generalizing them theoretically (1). Dogmatism is defined as unwillingness to know, accept or respect the opinions, ideas and behaviors of others. These people fail to recognize the ideas of others, especially when these ideas are different from their preconceived thoughts. They cannot understand and analyze different perspectives or accept them even when they are less rational, correct, and better than their views. In this Abstract
Using a Modified Erev-Roth Algorithm in an Agent-Based Electricity Market Model

One of the important tools for the analysis and prediction of operation of electricity markets are agent-based models, which simulate the behavior of decentralized agents (for example, producers and buyers), each with its own objectives and means. In these models learning of agents submitting price bids to a wholesale market plays an important role. In the process of repeated interaction an agent adapts to the environment and to the behavior of other agents, learns to predict the results of its own actions. The paper presents a modification of the classical Erev-Roth reinforcement learning algorithm which takes into account the distance between alternatives. The proposed modified algorithm is used to represent agents' learning in an agent-based model of the Russian wholesale electricity market (Siberian pricing zone) within the bounds of the day-ahead market. It is shown that it has some significant advantages as compared to the original algorithm. In particular, the algorithm is naturally interpretable, is robust to the choice of discretization step, is invariant to a shift in payoffs scale. On the whole, the algorithm is more flexible than the original one. When the modified algorithm is used, one observes good coherence between the dynamics of model price and the observable dynamics of the price in the market.
Integrated model of liquid crystal-clad waveguide for non-mechanical beam steering

The heightened demand for non-mechanical approaches to beam redirection and steering has led to several electro-optical approaches. One with great potential integrates liquid crystal (LC) as a cladding layer to a planar waveguide for continuous two dimensional steering. The birefringence of LC is leveraged to tune the waveguide effective leading to refractive steering, while efficient coupling with a freespace beam is accomplished with a “tapered gap” prism coupler. The out-coupled beam can be steered by refraction in a continuous manner to follow a path or address random points with sub millisecond response times. This device architecture presents a challenge for modeling and simulation with a large parameter space. Experimental successes have motivated a custom MATLAB model that couples LC and waveguide physics. The model simulates the distortion of the nematic LC and uses the graded index profile at the cell boundary to solve the waveguide equation as a function of applied voltage. Raytracing methods are used to track the refraction of an input beam through regions of tunable waveguide index and predict the angular field of regard (FOR). Numerical simulations of the coupling region predict the coupling efficiency given the conditions of the input beam including arbitrary bandwidth. Comparison of coupling conditions and FOR measurements with empirical results allows us to rapidly prototype a device by optimizing parameters with fast algorithms that maximize the field of regard and throughput efficiency.
Odběrová analýza průběhu ověřování PINu na kryptografické čipové kartě

Tato bakalařska prace se zabýva problematikou cipových karet. Zaměřuje na technologii Java Card a jeji výhody a omezeni. Cast prace je věnovana různým systemům ověřovani PINu a odběrove analýze ověřovani PINu na konkretni cipove kartě. Dale se zabýva bezpecnosti Java Card a uvadi faze vývoje appletu pro cipovou kartu vcetně přikladů implementace.
Analysis of breast cancer cell based on hyperchromatic crowded group using multiple techniques of data mining

In this paper, an effort is made to analyze MGG stain images of breast cell in FNAC which will help in early detection of malignant breast cancer cell. There are many morphological features based on which MGG stain test smear images can be categorized into normal and abnormal classes. Some of them are area, perimeter and presence of hyperchromatic crowded (HCG) group etc. So, in this approach we analyse the breast cell based on a presence in the malignant cell using multiple techniques of data mining (Images are examined). The proposed approach is implemented in WEKA, a java based data mining tool KEYWORDS: breast cancer, HCG, MGG, FNAC.
Associations between self-rated health, quality of life and symptoms of depression among Finnish inpatients with alcohol and substance use disorders

ABSTRACT Background: Alcohol and substance use disorders (SUDs) are known to be associated with various health problems and somatic comorbidities however, not much is known on how individuals with SUDs themselves view their own health. Depression is common in SUDs and it is also associated with various health problems. The aim of this study was to assess how individuals undergoing inpatient treatment for SUDs perceived their health status and quality of life (QoL) and how having symptoms of depression affected these perceptions. Methods: Data regarding a convenience sample of eighty inpatients with a diagnosis of alcohol or substance dependence were analyzed. Data were collected through a clinical interview and validated questionnaires. Results: Individuals undergoing inpatient treatment for SUDs reported various somatic comorbidities and their self-rated health was moderate. Back pain, high blood pressure and liver disease were the most commonly reported somatic comorbidities. More severe symptoms of depression were associated with poorer self-rated health, more comorbidities and poorer QoL after adjusting for potential confounders such as age. Conclusions: Individuals with SUDs have many health-related concerns and their QoL is impaired. Symptoms of depression are associated with self-rated health and QoL in this population.
Towards Interactive Photorealistic Rendering

Juice appearance is important to consumers, so digital juice with a slider that varies a production parameter or changes juice content is useful. It is however challenging to render juice with scattering particles quickly and accurately. As a case study, we create an appearance model that provides the optical properties needed for rendering of unfiltered apple juice. This is a scattering medium that requires volume path tracing as the scattering is too much for single scattering techniques and too little for subsurface scattering techniques. We investigate techniques to provide a progressive interactive appearance prediction tool for this type of medium. Our renderings are validated by qualitative and quantitative comparison with photographs. Visual comparisons using our interactive tool enable us to estimate the apple particle concentration of a photographed apple juice.
UV-light-driven photocatalytic degradation and antimicrobial properties of efficient ternary semiconductor CdxAg1–xS nanocomposites

Abstract The objective of this research was to prepare and characterize the solvent-free ternary semiconductor CdxAg1–xS nanocomposites as photocatalysts by a simple hydrothermal method using without any surfactant. We have accessed the photocatalytic ability of the prepared composites in the degradation of pesticides under simulated UV light irradiation. The Cd0.5Ag0. 5S composites show a significant photocatalytic activity, higher than the bare CdS and Ag2S samples. It indicates that the heterostructured combination of Ag and CdS provides synergistic photocatalytic activity through an efficient electron transfer process. The stability and reusability assays indicated that the Cd0.5Ag0. 5S composite retained more than 90% of activity after five cycles of use. On the basis of the results, a possible photocatalytic mechanism of the prepared samples was proposed. The synthesized CdS, Ag2S, and Cd0.5Ag0. 5S samples were screened against selected bacterial and fungal species. The investigated results confirm the synthesized Cd0.5Ag0. 5S is a potential candidate for antimicrobial activity applications.
The Development and Evaluation of an ADVANCE Professional Developments Series to Promote Institutional Transformation

This paper reports on the development and assessment of a professional development workshop series implemented as part of an NSF ADVANCE Institutional Transformation grant at a large, private university. The goal of the grant was to increase the representation and advancement of women STEM faculty; it utilized a multi-frame organizational analysis approach (Bolman & Deal, 2017) to examine the organization and the approaches created by AdvanceRIT to change the organization. Evaluation results indicate that the series helped individuals strategically advance their careers, offered opportunities to learn from other women in academia and expand their networks, and share strategies to intervene against implicit bias and discrimination. At the institutional level, evaluation results suggest improvements to culture, including broader awareness of equity and discrimination issues and expanded networks across the institution. Series participants expressed a desire for more change and impact at the institution level.
Giyilebilir Yürüyüş Analiz Sensörü ile Kişi Sınıflandırmasının Öznitelik Seçme Algoritmaları ile İyileştirilmesi

Yurume, canlilarin bilinen en eski aktivitelerinden biridir. Konum degistirmek amaci ile insanlarin kas ve kemik sistemlerinin koordineli bir sekilde hareket etmesine yurume denir. Yurume biyometrik bir olcut olarak kabul edilmektedir. Bu yuzden yuruyus analizi ile kisi tanima, yas belirleme, cinsiyet belirleme, norolojik ve ortopedik hastalik tespiti gibi calismalar yapilabilmektedir. Bu calismada da giyilebilir yuruyus analizi sensoru ile kisilerin siniflandirilmasinda sarmal modelli oznitelik secme yontemleri kullanilarak daha basarili siniflandirma basari parametrelerinin elde edilmesi amaclanmistir. 7’si bayan 9’u bay olmak uzere toplam 16 farkli gonullu kisinin yuruyus parametreleri hesaplanarak yuruyus veri seti olusturulmustur. Her gonulluden 3 kez yurumeleri istenmis olup toplam 48 yuruyus ele alinmistir. Kisi siniflandirma basari parametreleri k-en yakin komsuluk yontemi kullanilarak hesaplanmis olup birini disarida birak capraz dogrulama yontemi ile dogrulanmistir. Siniflandirma sonuclari ele alindiginda 0,979 dogruluk orani elde edilmistir. Sonuclar siniflandirma basari parametreleri ve siniflandirma islem suresi bakimindan incelenmis olup elde edilen sonuclar calismanin siniflandirma basari parametreleri ve siniflandirma islem suresi bakimindan ciddi oranda iyilestirmeler sagladigi gozlemlenmistir.
Determinants of university students’ attendance

ABSTRACT Background: Attendance of university students at their timetabled teaching sessions is usually associated with higher levels of educational attainment. Attendance is usually considered to reflect students’ level of engagement with their course and to be critical to student success; despite the potential for technological alternatives, lectures and other face-to-face sessions still tend to be the primary method of teaching at university. Purpose: Here we review studies which have investigated these determinants of attendance in order to gain a better understanding of whether – and how – Higher Education Institutions are able to improve attendance rates. Sources of evidence: Electronic databases (e.g. ERIC, Web of Science) were used to identify articles exploring attendance in Higher Education settings. Main argument: Some of the most debated determinants of attendance are reviewed: teaching issues (e.g. quality, style and format); effects of university expectations and policy (e.g. mandating attendance, awarding grades for attendance); scheduling issues; provision of materials online; and the effects of individual factors arguably outside of the Higher Education Institution’s control (e.g. finance, student employment, student demographics and psychological factors). Conclusions: It is suggested that, although some individual factors influence student attendance and are arguably out of the control of HEIs, it is possible for them to facilitate attendance through adjustments to aspects of degree delivery such as attendance policies and monitoring, timetabling and style of teaching. Implications for policies on the recording of lectures, curriculum design and student term-time working are also discussed. Future research on student attendance should include longer and larger studies which simultaneously consider a range of influences; examining both inter- and intra-individual variability and different types of teaching sessions.
Lancet Commission on Hypertension group position statement on the global improvement of accuracy standards for devices that measure blood pressure

The Lancet Commission on Hypertension identified that a key action to address the worldwide burden of high blood pressure (BP) was to improve the quality of BP measurements by using BP devices that have been validated for accuracy. Currently, there are over 3000 commercially available BP devices, but many do not have published data on accuracy testing according to established scientific standards. This problem is enabled through weak or absent regulations that allow clearance of devices for commercial use without formal validation. In addition, new BP technologies have emerged (e.g. cuffless sensors) for which there is no scientific consensus regarding BP measurement accuracy standards. Altogether, these issues contribute to the widespread availability of clinic and home BP devices with limited or uncertain accuracy, leading to inappropriate hypertension diagnosis, management and drug treatment on a global scale. The most significant problems relating to the accuracy of BP devices can be resolved by the regulatory requirement for mandatory independent validation of BP devices according to the universally-accepted International Organisation for Standardization Standard. This is a primary recommendation for which there is an urgent international need. Other key recommendations are development of validation standards specifically for new BP technologies and online lists of accurate devices that are accessible to consumers and health professionals. Recommendations are aligned with WHO policies on medical devices and universal healthcare. Adherence to recommendations would increase the global availability of accurate BP devices and result in better diagnosis and treatment of hypertension, thus decreasing the worldwide burden from high BP.
Literature survey on applications of electroencephalography (EEG)

By using instrument known as electroencephalograph, electroencephalogram (EEG) of the human brain can be obtained. EEG is a record of postsynaptic potentials, generated by neurons. Usually, EEG is used to study the activities inside the human brain. This study gives significant assistant in medical field, especially in diagnosing and planning treatment for the brain related diseases. With the advancement of technology, the usage of EEG is now not only limited within the medical field. EEG has been used for brain-machine-interface (BCT) and neuromarketing. Therefore, the aim of this literature survey is to see the current trend of the applications of EEG. This survey is done by observing the research articles published in two well-known databases, which are IEEExplore and ScienceDirect. From this literature survey, it is found that the researches on EEG are still growing, with the area of applications is expanding.By using instrument known as electroencephalograph, electroencephalogram (EEG) of the human brain can be obtained. EEG is a record of postsynaptic potentials, generated by neurons. Usually, EEG is used to study the activities inside the human brain. This study gives significant assistant in medical field, especially in diagnosing and planning treatment for the brain related diseases. With the advancement of technology, the usage of EEG is now not only limited within the medical field. EEG has been used for brain-machine-interface (BCT) and neuromarketing. Therefore, the aim of this literature survey is to see the current trend of the applications of EEG. This survey is done by observing the research articles published in two well-known databases, which are IEEExplore and ScienceDirect. From this literature survey, it is found that the researches on EEG are still growing, with the area of applications is expanding.
Ectopic tales of kachcch: A study of ectopic pregnancies

Background and Aim: Ectopic pregnancy is assuming greater importance because of its increasing incidence and its impact on women’s fertility. Present study was done with an aim to know the prevalence in the all the patients diagnosed with ectopic pregnancy at the tertiary care centre – G.K General Hospital Bhuj and patients referred from surrounding area for the same. Material and Methods: All patients diagnosed of ectopic pregnancy at tertiary care centre- G.K. General Hospital, Bhuj, Gujarat, India over a period of three months –July, August, September 2018 were enrolled in the study. Patients history was recorded and necessary investigation were done. Results: The incidence of ectopic pregnancy in this study is 3:187.5 amounting to 1.6% prevalence of ectopic pregnancy the mean age calculated is 24.08 years of presentation with maximum age being 35 years and minimum age being 19 years. Most of the patients – 66.7% are primigravida patients, 8.3% second gravid and 25% third gravid. The aetiological risk factors in this study: 10% had conceived after ovulation inducing drugs, 30% had history of PID, 10% had history of surgery for an adnexal mass, with remaining 50% having no identifiable risk factors. Out of all cases - only two cases were brought in a state of shock with severe hypovolaemia which resulted in one maternal mortality as patient developed Acute STEMI due to coronary vasospasm, i.e 8.33% of all cases . Out of all cases 75% were ruptured ectopic pregnancy and only 25% unruptured ectopic pregnancies. Conclusion: The incidence of ectopic pregnancies is on the rise. All the cases were diagnosed with a high index of clinical suspicion and the USG findings added to the diagnosis. Though the recent trend in the management of ectopic pregnancy is the use of a conservative surgical or medical line of management, radical surgery or salpingectomy was the treatment modality which was used in the present study.
Cryptocurrency adoption: current stage, opportunities, and open challenges

Cryptocurrency is attracting the attention of academic and non- academic researchers as an alternative architecture of currency. Because of the growing of cryptocurrency research, it is essential to value the existing research of cryptocurrency and identify potential future research areas. This paper provides an up to date review of Information system (IS) research on cryptocurrency adoption. In this paper, we conduct a systematic literature review to gather the previous research related to cryptocurrency adoption. The goal of this research is to identify the current research stage and open challenges for future studies in cryptocurrency adoption. Moreover, the paper presents a systematic literature review (SLR) of 25 research articles published on the adoption of cryptocurrency from 2014 to 2017. The results demonstrate that cryptocurrency adoption research has grown significantly throughout this period, and remains a fertile area for academic research. The results show that the cryptocurrency adoption literature can be classified according to three main classifications: qualitative research, quantitative research and others. The results of the SLR reveal that there is a lack of study focusing on the factors that are significantly influenced on the acceptance of cryptocurrency. Furthermore, there is also a lack of technology acceptance models used in addressing the issues. Research gap found is presented and discussed.
HAND HYGIENE PRACTICES AMONG STREET FOOD VENDORS

The purpose of this paper is to assess the nature and extent of hand hygiene practices in the street food business in selected districts in Southern Ghana. Though street-vended foods have many health and socio-economic benefits, they often pose significant public health risk to consumers . Codex Alimentarius standards identify the hand of the vendor (or the consumer) as a ‘high-risk’ factor or conduit in street food contamination. The study applied cross-sectional descriptive survey with observation of street food vendor practices using a structured questionnaire in a face to face interview of 413 vendors randomly selected. While almost half of vendors (47.9%) were observed to handle food with their bare hands in the selling process, nearly one-fifth of vendors (18.4%) did not wash their hands with water and soap after visiting the toilet. Vendor fingernail hygiene was however not a major risk factor. It is also revealed that there is a significant positive relationship between food vendor’s educational status and proper hand washing practices. It is recommended that respective local authorities in collaboration with other stakeholders be more proactive in the enforcement of food safety regulations regarding hand hygiene and food handling.
Through-Wall Imaging with Uwb Radar System

" If we save even one life, we have been cost effective. " Dr. Rochelle Dicker Acknowledgement I give a sincere gratitude to all the people who made it possible for me to write this thesis, especially to my family. I also want to thank to the doc. Ing. Miloš Drutarovsk´y, CSc. for my supervising, to the Dr. Jürgen Sachs and Dr. Rudolf Zetik for their technical and theoretical suggestions and remarks, and to the prof. Ing. Dušan Kocur, CSc. for his support.
LEARNING SPACE OF THE FUTURE - MOODLE MEETS BLENDED LEARNING

Universities are under constant pressure to change, especially against the background of the mega trend of digitalisation. This has an impact on their core task of teaching. The Westphalian University is meeting this challenge. Innovative teaching and learning methods are of great importance for its further development. The "learning space of the future" is to become a reality at the Westphalian University very soon. While classroom courses continue to be the focus of teaching they are qualitatively improved and made more flexible through eLearning modules that make sense in terms of media teaching. This article presents a blended learning strategy based on Moodle. The pilot project is an exercise for the Business Informatics course for students of the Bachelor's programme in Business Administration and Economics. The exercise was largely designed as an "Inverted Classroom". In the following, the framework conditions and challenges of such a course are examined in more detail.