Miracle-dz/UniFAR-FTUs huggingface dataset:
The Social Flow of Historical Narratives and its Many Names

This paper is a first, partial, and short exposition of a larger research project on the phenomenon of the social flow of historical narratives, which is named for the first time here. It presents a preliminary analysis of four different Western scholar traditions that arose at the end of the twentieth century to understand this phenomenon, although the representatives of these traditions were not completely aware of it: the West German tradition called it Geschichtsdidaktik (History Didactics), the British/Californian/American tradition called it Public History, the Parisian/French tradition called it Lieu de Memoire (Places of Memory) and the Soviet/Russian tradition called it Социальная Память (Social Memory). This analysis is based on Data Science/Digital Humanities methods related to semantic networks and used Linux and Python scripts to compare these four corpora. The main goal of this project is to present the differences between the official definitions and the semantic-based definitions to help scholars from these fields to think over their tradition on further research. The main conclusion of this study is that, although these four traditions are designed to deal with the same problem (the social flow of historical narratives), the analysis of the semantic networks of their corpora indicates that they have followed completely different paths. We have also noted some inconsistencies between the official discourse of these traditions and their semantic networks, which were described throughout the text.
The Effects of Process-Genre Approach on Academic Writing

This study intends to find out the effectiveness of Process-genre Approach (PGA) on academic writing in English as a second language Students' essay writing. The purpose of this paper is to determine how far this current global approach can be of benefit for the development of academic writing skills of the university students who are learning English as a second or foreign language. The participants were subjected to pre-test and post-test before and after intervention respectively. The experimental group was taught with the Process-genre approach while the control group was taught with the product (traditional) approach. The two groups went through 6 weeks of training with the differ- ent approach. The participants are university undergraduate students. The groups had 40 students for each. The data was analyzed by using analysis of Covariance (ANCOVA) to compare the scores of the experimental group with that of the control group. The findings of the study show that, the experimental group outperformed the control group proving that PGA is effective in teaching academic writing in tertiary institutions. The participants are homogeneous at the beginning of the intervention with no significant difference in the pre-test scores of the two groups while there is significant difference in the post test of the two groups. The PGA group scored higher than the PA group proving that there is an impressive performance of the students in academic essay writing of the PGA group of students. Therefore, PGA is an effective approach to teaching academic writing if properly applied.
Water Level Detection System Based on Ultrasonic Sensors HC-SR04 and ESP8266-12 Modules with Telegram and Buzzer Communication Media

Received: 10 March 2019 Accepted: 25 May 2019 Detection of water surface altitude is an indicator for early detection of flood disasters. The research aims to design a water surface-level detection system by using ultrasonic sensors and the ESP8266-12E module. The tools and materials used during the design are: Ultrasonic sensors HC-SR04, module ESP8266-12E, and buzzer a water container with a varied water height, the detection data will be sent to the ESP8266-12E module, then the system will send the information an output to sound the alarm. The ultrasonic HC-SR04 sensor will detect the mation in the form of a message through telegram and buzzer application. The messages delivered are several stages including standby, alert, and danger. The methods used in this design are planning, study libraries, collection of tools and materials, hardware plan, and program creation on the software. The final result is a system capable of detecting water surface level based on the ultrasonic sensor HC-SR04 and the ESP8266-12E module through telegram and buzzer communication media.
Kadaster Knowledge Graph: Beyond the Fifth Star of Open Data

After more than a decade, the supply-driven approach to publishing public (open) data has resulted in an ever-growing number of data silos. Hundreds of thousands of datasets have been catalogued and can be accessed at data portals at different administrative levels. However, usually, users do not think in terms of datasets when they search for information. Instead, they are interested in information that is most likely scattered across several datasets. In the world of proprietary in-company data, organizations invest heavily in connecting data in knowledge graphs and/or store data in data lakes with the intention of having an integrated view of the data for analysis. With the rise of machine learning, it is a common belief that governments can improve their services, for example, by allowing citizens to get answers related to government information from virtual assistants like Alexa or Siri. To provide high-quality answers, these systems need to be fed with knowledge graphs. In this paper, we share our experience of constructing and using the first open government knowledge graph in the Netherlands. Based on the developed demonstrators, we elaborate on the value of having such a graph and demonstrate its use in the context of improved data browsing, multicriteria analysis for urban planning, and the development of location-aware chat bots.
Organisational Educational Systems and Intelligence Business Systems in Entrepreneurship Education

This article presents problems of application of the corporate Information systems and discloses the need for teaching the corresponding application techniques within the framework of entrepreneurship education. Based on the analysis of insurance companies, this study finds ways to evaluate the level of information systems development within the enterprise. To accomplish the evaluation, we have analysed the factors, which influence upon the corporate Information systems. The results were obtained on the basis of assessments of nine (9) expert specialists, who have analysed 5 insurance companies. We have assessed the following factors: level of the innovation potential of an enterprise; degree of utilisation of the business analysis instruments at the enterprise; level of interconnections between the corporate information systems and business analysis; the needs of the corporate Information systems in the course of utilisation of the business analysis instruments. Analysis has shown that practically all groups are characterized by the worst values, except for the "Finances" group, within which intensity of utilisation of these technologies is at the moderate level. As the result, we have revealed those business instruments, which are important for an enterprise and which have high significance and efficiency values. Education should be founded on these techniques and instruments. The studies, which we have performed, have shown practical significance of the proposed methodology for assessment and utilisation of the information technologies (IT) by insurance companies, as well as for elaboration of plans of future development of these companies. The framework offered here will benefit the entrepreneurship students, as the theoretical information within it and the research findings may be applied to design and implement an education program.
Pain in methadone maintenance therapy

Authors’ contribution/Wkład pracy autorów: Study design/Koncepcja badania: S. Fudalej; Data collection/Zebranie danych: M. Fudalej, A. Fudalej, S. Fudalej; Statistical analysis/Analiza statystyczna: S. Fudalej; Data interpretation/Interpretacja danych: M. Fudalej, M. Maksimiuk, A. Fudalej, S. Fudalej, M. Wojnar; Acceptance of final manuscript version/Akceptacja ostatecznej wersji pracy: S. Fudalej, M. Wojnar; Literature Search/Przygotowanie literatury: M. Maksimiuk.
Translational aspects of body image research for obesity-related quality of life and weight loss maintenance post-bariatric surgery

Background The Aim of the study was to examine obesity health-related quality of life and body image satisfaction in a group of individuals having undergone bariatric surgery. Methods One hundred and forty-two persons who had undergone bariatric surgery answered an online survey which included measures of well-being and body image. The Multidimensional Body Self-Relations Questionnaire-Appearance Scales (MBSRQ-AS 34) was used to assess body image in relation to appearance evaluation (AE), appearance orientation (AO), overweight preoccupation (OP), self-classified weight (SCW), and body areas satisfaction (BASS). Obesity-related quality of life was assessed with the obesity related well-being scale (Orwell 97). Results Hierarchical multiple regression indicated that 50.2% of the variance in well-being post-surgery was explained by body image variables [F(6,84) =18.54, P<0.01], with the strongest predictor being satisfaction with body areas (B=−0.360, P<0.01). Regression analysis of the data for the group of patients who had received the vertical sleeve surgery was also significant, [F(6,56) =10.16, P<0.001] with satisfaction with different body areas being the best predictor of well-being (B=−0.365, P<0.05), followed by OP (B=0.313, P<0.05) and SCW (B=0.281, P<0.05). Conclusions Body image concerns are more important predictors for well-being post bariatric surgery than weight lost. Psychological factors such as the perception of body areas, continued weight preoccupation and SCW rather an objective weight were better predictors of well-being, symptoms that impacted on well-being and on the subjective relevance of the symptoms to well-being. Recommendations for the translation of the present research findings for the surgical preparation of the bariatric patient and for post-surgery care are suggested.
Psychosocial Predictors of Bruxism

Objectives The study aimed to investigate the psychosocial predictors of bruxism. The association of various psychosocial factors such as alexithymia, emotional processing, state and trait anxiety, and stress with awake bruxism was analysed. Methods The study involved 52 volunteers diagnosed with awake bruxism. The toolkit that was used included the Toronto Alexithymia Scale (TAS-20), the Emotional Processing Scale (EPS), the Cohen Perceived Stress Scale (PSS-10), and the State- and Trait-Anxiety Inventory (STAI), with independent individual psychological diagnoses being made for every patient. The results were statistically analysed using IBM SPSS Statistics 24. Results The obtained data clearly show that psychological traits—both permanent dispositions (e.g., state anxiety and alexithymia) and temporary states (e.g., trait anxiety, emotional processing deficits, and psychological stress)—are significant determinants of awake bruxism. The percentage of explained variance indicates the presence of other factors as well. Conclusions Psychosocial factors such as state anxiety and trait anxiety, alexithymia, and perceived stress are as important as somatic causes in the occurrence and maintenance of awake bruxism. The profile of the obtained data suggests the possibility of preventing or minimizing the symptoms of awake bruxism through properly constructed psychoprophylactic interactions.
Critical Success Factors in IT Project Management. Case study on IT Banking Front-end IT System Project in Serbia

The success of project management in organizations depends on the context, that is, on type of organization, type of projects they implement, the environment and the conditions for the realization of projects. What matters to the textual issues of project success is due to a number of factors - type of project, importance for organization, resources, and the like. Insufficient number of organizations successfully managed to implement project manager procedures, while others met with a large number of problems, the resistance of employees first of all, ignorance, lack of resources, bad time management and other issues. Organizations must have an incremental approach to the development and implementation of their project management methodologies, especially when it comes to implementing information technology project, that involve a great deal of human-work, innovation and usually cost a lot, development takes a long time, they are based on the knowledge of new technologies, and their success depends on the people who develop them, and those who will use those IT products and services. This is a great challenge for management in terms of use of information technology, budget and planning, involvement of the project team and establishment of support from the environment. Many IT projects are not implemented successfully because of poor application of project management procedures, lack of stakeholder support, absence of project sponsor etc.
MONTHLY INCOME OF FAMILY, EDUCATIONAL LEVEL, KNOWLEDGE, AND EATING BEHAVIORS AMONG PEOPLE WITH TYPE 2 DIABETES MELLITUS IN SIDOARJO

Background: Many factors can influence the choice of food and diet of people with type 2 diabetes mellitus, including personal dimensions (socioeconomic, educational level, and knowledge), behavioral pattern, and environmental characteristics (Savoca and Miller, 2001). Purpose: This study aimed to describe and examine the relationship between monthly income of family, educational level, knowledge, and eating behaviors among people with type 2 diabetes mellitus in Sidoarjo. Methods: The design of this study used a cross-sectional method to measure the relationship of several variables. The population in this study were all diabetics in the working area of the Sidoarjo Community Health Center. The sampling technique used is cluster random sampling. The total of samples in this study were 117 respondents with inclusion criteria, among others aged 20-60 years, can read, and want to participate in this study. Data collection using demographic data questionnaire (DDQ) for monthly income of family and educational level, eating behavior is measured by self-management dietary behaviors questionnaire (SMDBQ), and knowledge is measured by diabetes knowledge questionnaire (DKQ). The data of this study was analyzed using Pearson Correlation with significance α ≤ . 05. Results: Based on the results, it found that educational level, monthly income of family, and knowledge had positive relationship with eating behaviors (r = .60, p < .001; r = .61, p < .001; r = .33, p < .001, respectively). Educational level and monthly income of family had positive relationship with knowledge (r = 21, p < .05; r = .31, p < .001, respectively). And also, educational level had positive relationship with monthly income of family (r = .63, p < .001). Discussion: With the results of this study, health workers are expected to create programs to improve eating behavior in people with type 2 diabetes mellitus that are adjusted to the condition of patients with type 2 diabetes mellitus. Key words: Eating behaviors, monthly income of family, educational level, knowledge, type 2 diabetes mellitus.
Outcomes of Multi-disciplinary Management of Metastatic Renal Cell Carcinoma

Metastatic renal cell carcinoma (mRCC) is associated with a poor prognosis. It is traditionally a treatment-resistant disease necessitating multi-modal treatment and close follow-up. We herein report a case of mRCC in a patient who was managed closely by a multi-disciplinary team and still retained a very good performance status and treatment response three years after diagnosis. We highlight the importance of close monitoring, switching systemic therapies at progression, early palliative radiotherapy, and patient education in controlling disease burden and maintaining quality of life in patients with mRCC.
Correlation of acute pulmonal embolism with D-dimer levels and the diameter of the pulmonary trunk in thoracic multislice computed tomography. A single-centre retrospective analysis of 100 patients

Purpose The aim of this retrospective study was to evaluate the correlation between D-dimer levels in positive thromboembolic thoracic computed tomography (CT) with the diameter of the pulmonary trunk and to study the relation between the D-dimer and the uni- or bilateralism of the lesions and the presence of pulmonal trunk involvement. We also analysed gender-specific differences in patients with and without dilatation of the pulmonal trunk. Material and methods A total of 100 acute care patients (50 men and 50 women) with positive thromboembolic multiple detector computed tomography of the thorax, performed on two modern CT scanners, were retrospectively studied. All thoracic CTs were evaluated by two expert radiologists, with attention paid to the diameter of the pulmonary trunk and the correlation of D-dimer level with the uni-or bilateralism of the lesions. We also analysed sex-specific correlations. All patients underwent multislice computed tomography-examination after applying 70 ml iodinated non-ionic contrast media. Graphpad Prism 8.1. 1 software was used for statistical data. Results The “strongest” weak correlation resulted between D-dimer levels and the axial diameter of the pulmonal trunk. Considering the correlation between the axial diameter of the pulmonal trunk and gender-related distributions, we found that female patients had higher axial diameters than men. Another weak relationship, almost zero, was found between the D-dimer level and gender. Regarding the correlation between the uni- or bilateralism of thromboembolism and the D-dimer levels, we also found a weak correlation. Conclusions This retrospective study showed that D-dimer levels, the diameter of the pulmonal trunk, the location, and gender-related distributions have almost no correlation and are not significantly predictive in imaging.
Embeddings Shifts as Proxies for Different Word Use in Italian Newspapers

We study how words are used differently in two Italian newspapers at opposite ends of the political spectrum by training embeddings on one newspaper’s corpus, updating the weights on the second one, and observing vector shifts. We run two types of analysis, one top-down, based on a preselection of frequent words in both newspapers, and one bottom-up, on the basis of a combination of the observed shifts and relative and absolute frequency. The analysis is specific to this data, but the method can serve as a blueprint for similar studies.
Photovoltaic simulation considering building integration parameters

1,∗Faculty of Chemical Sciences, Universidad de Cuenca, Ecuador. Corresponding author ): ismael.izquierdo. torres@ucuenca.edu. ec, http://orcid.org/0000-0003-0728-8978, http://orcid.org/0000-0003-4107-4594 2Department of Electrical, Electronics and Telecommunication Engineering, Universidad de Cuenca, Ecuador. http://orcid.org/0000-0001-9992-3494 3Faculty of Architecture and Urbanisms, Universidad de Cuenca, Ecuador. http://orcid.org/0000-0001-5551-5026
Extra-phase Image Generation for Its Potential Use in Dose Evaluation for a Broad Range of Respiratory Motion

1Department of Nuclear Engineering, Hanyang University, Seoul, Korea; 2Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, Korea; 3Division of Cancer Epidemiology & Genetics, National Cancer Institute, MD, USA; 4School of Nuclear Engineering and Environmental Physics, Hanoi University of Science and Technology, Ha Noi, Viet Nam; 5Department of Radiation Oncology, College of Medicine, Hanyang University, Seoul, Korea; 6Korea Institute of Radiological and Medical Sciences, Seoul, Korea; 7The Catholic University of Korea, Seoul, Korea
Design and Experimental Characterisation of an Additively Manufactured Heat Exchanger for the Electric Propulsion Unit of a High-Altitude Solar Aircraft

This paper presents design considerations of an air-cooled heat exchanger (HE) for a propulsion motor. The motor has been designed as a part of electric drive system for a high-altitude solar aircraft. The existing heat evacuation methods for such applications include predominantly forced air ventilation of the machine active parts through an open frame/motor housing. When considering numerous constraints associated with the airframe design, the effectiveness of such a cooling approach might be insufficient or have a detrimental impact on the system endurance. This is due to the resultant air flow via the motor body, which is rather difficult to reliably model or design for. In this work, the authors investigate a dedicated heat exchanger to assure a more measured design with superior cooling capability. To enable sufficient heat removal from the motor body, a metal additive manufacture (AM) was used in fabrication of the HE prototypes. Both design methodology and experimental results from tests on the HE/motor hardware demonstrators are discussed in detail. The research outcomes have shown that the use of the developed thermal management system offers a high level of motor/HE integration, lightweight design and a high removal rate of the generated heat.
Bosutinib is safe and active in patients (pts) with chronic phase (CP) chronic myeloid leukemia (CML) with resistance or intolerance to imatinib and other tyrosine kinase inhibitors

7001 Background: Bosutinib (SKI-606), is an orally bioavailable dual Src/Abl inhibitor, 200 times as potent as imatinib, with minimal inhibitory activity against platelet-derived growth factor receptor or c-kit. Method: The phase II portion of a Phase I/II study to investigate the efficacy and safety of bosutinib in (pts) with CP CML who failed imatinib is ongoing. Results: We report preliminary data for 152 pts, median duration of treatment 2.82 mos (range 0.03–19.5 mos). Prior therapy in addition to imatinib, included interferon (58 pts), dasatinib and/or nilotinib (37 pts), and stem cell transplant (8 pts). Among pts who failed imatinib, 116 (76%) were imatinib-resistant and 36 (24%) intolerant. Of 38 pts evaluable for hematological response, 34 (89%) had complete response (CHR). 23/56 (41%) evaluable pts achieved a major cytogenetic response (MCyR), 17 (30%) of which were complete (CCyR). Of 58 pts evaluable for molecular response, 19 (33%) achieved a major molecular response, 11 (19%) of which were c.
Comparing strategies to generate experience-based clinical process recommendations that leverage similarity to historic data

Doctors executing flexible and knowledge-intensive healthcare processes are constantly confronted with decisions on what to do next from a large and diverse set of options. Such decision making can be very demanding and even overwhelming, certainly for less experienced doctors. The current IT infrastructure remains lacking in support for decision making. Adding an additional channel for externalizing the knowledge and experience from historic data as guidance would have clear benefits. In this paper, we take the first step towards offering such guidance in the form of clinical process recommendations for the next activity to be executed. The purpose of these recommendations is not to steer the process according to some optimization criteria, but rather to offer a direct reflection of the experience encapsulated in previous executions of the process. Forty strategies were defined to calculate probability estimates for each possible next activity. The recommendations are subsequently generated as a list of possible next activities, sorted according to the highest calculated probability. The strategies were implemented and applied to three different healthcare data sets and evaluated on average accuracy, multi-class brier score, log loss, how consistent the recommendation rankings are, and the required computation time. The results indicate that responded frequency, variable-position activity similarity and combined strategies perform well for this type of processes.