Miracle-dz/UniFAR-FTUs huggingface dataset:
Game Mechanic based E-Learning

This thesis presents a case study of Game Mechanic based E-Learning. This is put forward as a new approach to E-Learning that tries to mimic games to harness some of their motivational properties. A prototype system was developed as a web application, using an Agile and Lean development approach. The system was evaluated with a class at the Norwegian University of Science and Technology. This was done to give an indication of the system’s ability to make work with exercises more engaging and fun. To give context in this thesis, the growing trend of Gamification is unveiled and explained in detail. The major technological delivery posited by this thesis was the prototype, implemented as a web application (dynamic webpage). The major research acheivement was evaluating respondents perception of the system. It was discovered that the chosen Game Mechanic was indeed considered to make work with exercises more engaging, although this effect was marginal. The evaluation was also used to arrive at a general definition for games. This definition can be used to distinguish Game Mechanics based systems from games. It also serves as a much needed guide to designing games and non-game systems that tries to acheive similar motivational benefits as games.
Statistics and Data Mining What makes an ( audio ) book popular ?

Audiobook reading has traditionally been used for educational purposes but has in recent times grown into a popular alternative to the more traditional means of consuming literature. In order to differentiate themselves from other players in the market, but also provide their users enjoyable literature, several audiobook companies have lately directed their efforts on producing own content. Creating highly rated content is, however, no easy task and one reoccurring challenge is how to make a bestselling story. In an attempt to identify latent features shared by successful audiobooks and evaluate proposed methods for literary quantification, this thesis employs an array of frameworks from the field of Statistics, Machine Learning and Natural Language Processing on data and literature provided by Storytel Sweden’s largest audiobook company. We analyze and identify important features from a collection of 3077 Swedish books concerning their promotional and literary success. By considering features from the aspects Metadata, Theme, Plot, Style and Readability, we found that popular books are typically published as a book series, cover 1-3 central topics, write about, e.g., daughter-motherrelationships and human closeness but that they also hold, on average, a higher proportion of verbs and a lower degree of short words. Despite successfully identifying these, but also other factors, we recognized that none of our models predicted “bestseller” adequately and that future work may desire to study additional factors, employ other models or even use different metrics to define and measure popularity. From our evaluation of the literary quantification methods, namely topic modeling and narrative approximation, we found that these methods are, in general, suitable for Swedish texts but that they require further improvement and experimentation to be successfully deployed for Swedish literature. For topic modeling, we recognized that the sole use of nouns provided more interpretable topics and that the inclusion of character names tended to pollute the topics. We also identified and discussed the possible problem of word inflections when modeling topics for more morphologically complex languages, and that additional preprocessing treatments such as word lemmatization or post-training text normalization may improve the quality and interpretability of topics. For the narrative approximation, we discovered that the method currently suffers from three shortcomings: (1) unreliable sentence segmentation, (2) unsatisfactory dictionary-based sentiment analysis and (3) the possible loss of sentiment information induced by translations. Despite only examining a handful of literary work, we further found that books written initially in Swedish had narratives that were more cross-language consistent compared to books written in English and then translated to Swedish.
Intraneural Injection during Anterior Approach for Sciatic Nerve Block: What Have We Learned and Where to Go from Here?

evaluate the ﬂuid warming and air venting capability of a new device (buddy ﬂuid warmer; designed for use in pediatrics. With this device, ﬂuids are heated to 38°C as they pass through a disposable set containing microporous membranes able to vent air. Air is released through the side vents of the set. The small heating unit and disposable set are placed in-line near the patient at the intravenous infusion site and can be used easily with volumetric infusion pumps. l, at room temperature, and refrigerated, outdated erythrocytes diluted with 100 ml sa-line, 0.9%. The estimated hematocrit was 50%. Standard or Y-type blood solution sets were attached proximal to the commercial microheater disposable set (priming volume, 4 ml), which was connected to a 12.7 cm T connector (total volume, 0.4 ml). A rapid response thermocouple (Fluke II; Fluke Corp., Everett, accuracy, (cid:4) 0.05%) was used to measure distal temperature at the point at which the T connector would be attached to the intravenous line. Temperature data were collected at 5-ml intervals for ﬂows of 8 ml/min or greater and at 10-s intervals for slower ﬂows. A volumetric infusion pump was used to regulate ﬂow between 50 and 1,000 ml/h. For gravity-free ﬂow, lactated Ringer’s solution was infused from a height of 1.8 m into a cylindrical
Microalgal Phycocyanin Productivity : Strategies for Phyco-Valorization [ Short Title : Microalgal Phycocyanin Productivity for Phyco-Valorization ]

Phyco-valorization is the exploitation of microalgae and microalgal chemicals as valuable products. This paper discusses the optimization of microalgal bioreactor-based systems for Cphycocyanin pigment production. Various aspects contributing to system development and enhancement of phycocyanin productivity are described. A wide range of potential microalgal species have been identified for phycocyanin production; the selection of a species for mass culturing can be determined by desired bioreactor trophic mode and symbiotic relations. Research has demonstrated that species amenability to local lighting and climatic conditions, and to variations in bioreactor substrate concentrations and operational parameters, have significant impact on phycocyanin production. The simultaneous optimization of all factors contributing to system productivity may be efficiently accomplished through process modelling. A summary of established models for microalgal phycocyanin production is presented. A suggested strategy for increasing economic viability
Cognitive Brain Mapping of Auditors and Accountants in Going Concern Judgments

This study aims to explain the extent to which brain mapping patterns follow behavioral patterns of auditors and accountants’ judgments when assessing evidence for decisions involving going concern. This multidisciplinary research involved investigating the relation between the theory of belief revision, neuroscience, and neuroaccounting with a sample of auditors and accountants. We developed a randomized controlled trial study with 12 auditors and 13 accountants. Auditors and accountants presented similar judgments about going concern, specially demonstrating greater sensitivity to negative evidence. Despite similar judgments, results showed diverging brain processing patterns between groups, as distinct reasoning was used to reach going concern estimates. During the decision process, auditors presented homogeneous brain processing patterns, while accountants evidenced conflicts and greater cognitive effort. For both groups, the occurrence of maximization (minimization) of judgments is observed in brain areas associated with identification of needs and motivations linked to individuals’ relations with their social group. This was strengthened by the lack of significant differences between the regression maps of auditors and accountants, leading to interpretation of the groups’ findings as homogeneous brain behavior. Despite familiarity with the executed task and knowledge of auditing standards, as a result of the greater use of algorithmic reasoning the auditors’ judgments were similar to that of accountants. On the other hand, the accountants’ greater cognitive effort, due to the experiencing of greater conflict in the decision-making process, made them use more quantic brain processing abilities, which are responsible for conscious reasoning. This was observed in the maximizations (minimizations) of the estimates in brain areas related to concerns with the judgments’ social repercussions, which culminated in some degree of “conservatism” in their decisions. Furthermore, these findings reveal another opportunity to discuss the assumption of the brain as the original accounting institution.
FACTORS ASSOCIATED WITH ACCEPTANCE AND USE OF MOBILE TECHNOLOGY FOR HEALTH SELF-MONITORING AND DECISION SUPPORT IN LUNG TRANSPLANT RECIPIENTS

Objectives. This cross-sectional study in lung transplant recipients (LTR) described acceptance and use of a smartphone application, Pocket PATH®, for health self-monitoring and decision support for reporting critical values in 12 months post-transplantation; and explored predictors of use and reporting. Methods. This secondary analysis, guided by the Unified Theory of Acceptance and Use of Technology, included 96 LTR randomly assigned to the Pocket PATH group. Intention to use was measured at baseline. Due to skewness, use (percentage of days used) in 0 to 2, > 2 to ≤ 6, > 6 to ≤ 12, and 0 to 12 months was categorized as Low, Moderate, and High, using 25% and 75% as cutoffs. Reporting critical values was dichotomized as 100% and < 100% reporting. Descriptive statistics were used to summarize data and logistic regressions were employed to explore predictors of use and reporting. Results. About 85% of LTR were very likely to use Pocket PATH. However, intention was not associated with use. Use decreased across four time intervals. Self-care agency interacted with gender (OR=0.94, p=0.04) and satisfaction with technology training (OR=0.93, p=0.02) in 0 to 2 months. Use from > 2 to ≤ 6 months was predicted by satisfaction with technology training (OR=3.00, p=0.03), and age interacted with psychological distress (OR=0.96, p=0.04). Use after 6 months was predicted by psychological distress (OR=0.42, p=0.04) and physical function (OR=1.07, p=0.04). Use from 0 to 12 months was predicted by age (OR=1.05, p=0.03), satisfaction with technology training (OR=2.78, p=0.05) and physical function (OR=1.09, p=0.03). Among 53 (55.2%) LTR with critical values detected, 62.3% (n=33) had 100% reporting. With increased technology experience, odds of 100% reporting decreased in men but increased in women (OR=0.21, p=0.03). LTR whose income met basic needs (OR=0.01, p=0.02), or with longer hospital stay (OR=0.94, p=0.01), were less likely to have 100% reporting. Moderate use group was less likely to report than High (OR=0.11, p=0.02) and Low (OR=0.04, p=0.02) use groups. Conclusion. Use of mobile technology for health self-monitoring and for reporting critical values was predicted by different factors. Clinicians should assess LTR at risk for poor use and reporting.
Clinical Data and Bacterial Characteristics Among Patients With Nosocomial Pneumonia Due to Methicillin-Resistant Staphylococcus aureus ( MRSA ) , by Cytotoxicity

Hannah R. Rose, Robert S. Holzman, Deena R. Altman, Davida S. Smyth, Gregory A. Wasserman, Jared M. Kafer, Michelle Wible, Rodrigo E. Mendes, Victor J. Torres, and Bo Shopsin Division of Infectious Diseases, Department of Medicine, Department of Microbiology, NYU School of Medicine, and Division of Infectious Diseases, Department of Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York; Pfizer, Collegeville, Pennsylvania; and JMI Laboratories, North Liberty, Iowa
Olimid Corporate Governance Practices and Analysts Forecast Accuracy Evidence for Romania R

In the last few years, several steps were taken in order to improve the quality of corporate governance for Romanian listed companies. Higher standards of corporate governance is documented in the literature to lead to a better information environment, and, consequently, to increase analysts forecast accuracy. Accordingly, the purpose of this paper is to investigate the extent to which corporate governance policies affect analysts forecasts for companies listed on Bucharest Stock Exchange. The results showed that there is indeed a negative correlation between a corporate governance index – used as a proxy for the quality of corporate governance practices and analysts forecast errors. Keywords—corporate governance, aanalysts’ forecasts, information environment
Mathematical and Numerical Modelling of Atmosphere and Oceans MSc A Moving Mesh Approach to Modelling the Grounding Line in Glaciology

This dissertation aims at enhancing the understanding of glacier flow dynamics. We are primarily concerned with the behaviour of the interface between grounded and floating ice commonly referred to as the grounding line. Accurate modelling of the grounding line is integral to forcasting the fate of the cryosphere and the Earth’s climate system. In this dissertation we discuss the use of a particular moving mesh numerical scheme in modelling the flow dynamics of the grounding line. This scheme incorporates conserved mass fractions in order to move the grid nodes. The approach allows the model to maintain physical properties such as local mass balance. We assess the ability of the method at accurately modelling the grounding line and compare the results with available literature. We also discuss future possible developments to the model.
Microbiological Evaluation of Dental Implants Using Quantification of Porphyromonas gingivalis in Dental Teaching Hospital Universitas Indonesia from 2009-2014 Media

Dental implants provide excellent results in terms of survival and the success rates of oral rehabilitation. The Dental Teaching Hospital, Faculty of Dentistry, Universitas Indonesia (DTH UI) is among the leading dental hospitals that have offered dental implants since 2009, but dental implant treatments have not yet been fully evaluated. The aim of this study was to evaluate the implant success rate by quantification of levels of Porphyromonas gingivalis bacteria. Twenty-nine dental implant samples were taken from patients from the Periodontal Clinic of DTH UI from 2009–2014. Samples plaques were obtained from each dental implant using implant probes. The baseline group consisted of similar plaque samples taken from healthy teeth and periodontitis teeth. All samples were subjected to microbiological analysis by quantification of P. gingivalis using real time PCR. No significant differences were noted in numbers of P. gingivalis between the dental implant groups and the healthy tooth group (P value >0.05), but the numbers of bacteria were significantly lower in the dental implant group than in the periodontitis group (P value < 0.05). The success rate of dental implants was satisfactory, as determined by quantification of P. gingivalis. Clinical article (J Int Dent Med Res 2018; 11(1): pp. 220-223)
College Matching Mechanisms and Matching Quality : Evidence from a Natural Experiment in China

Matching mechanisms play a crucial role in the college admissions process, which in turn influence education and labor market outcomes. We exploit geographical and temporal variations in the Chinese college admissions reform to provide new empirical evidence on how matching mechanisms affect matching quality. Consistent with theoretical findings by Chen and Kesten (2017), we show that switching from the Immediate Acceptance (IA) mechanism to the Chinese parallel mechanism, a hybrid of IA and the Deferred Acceptance mechanism, improved matching stability, proxied by the level of stratification precision. This effect is stronger for provinces with wider first parallel choice band and intensifies over time.
Application Of Queuing Theory Model And Simulation To Patient Flow At The Outpatient Department

Long waiting time to be served at the outpatient counter is always the main problem faced by the public clinic. Outpatient department at public health clinic had the greatest queuing challenge compared to the other units. This situation has been a common complaint by the patients. Therefore, the purpose of this study is to determine the waiting arrival time and service time of patients at the outpatient counter and to model suitable queuing system by using simulation technique. This study was conducted at one of the Public Health Clinic in southern Malaysia. This study employed descriptive analytical and simulation method to develop suitable model. The collection of waiting time for this study is based on the arrival rate and service rate of patients at the outpatient counter. The data calculated and analyzed using Microsoft Excel. Based on the analyzed data, the queuing system of the patient current situation was modeled and simulated using the ARENA software. The result obtained from the simulation model shows that average waiting time of patients in queue is 54.295 minutes with the average total exit patient is 327 patients. Thus, the average service time is 13.481 minutes. This study proved that the clinic has achieved the target adopted by Ministry of Health patient charter with the target of waiting to see the doctor within or less than 60 minutes. The study also addressed a few problem found during the observation and appropriate strategies were formulated to improve the waiting time and utilization percentage were carried out including rearrange the schedule of resources. The outcome of this study can be used by Ministry of Health to improve public health clinic services and plan their resources wisely.
Diabetes Mellitus as a Leading Cause of End-Stage Renal Disease

End stage renal disease diabetic patients suffer from worse clinical outcomes under dialysis-independently of modality. Peritoneal dialysis offers them the advantages of home therapy while sparing their frail vascular capital and preserving residual renal function. Other benefits and potential risks deserve discussion. Predialysis intervention with early nephrology referral, patient education, and multidisciplinary support are recommended. Skilled and updated peritoneal dialysis protocols must be prescribed to assure better survival. Optimized volume control, glucose-sparing peritoneal dialysis regimens, and elective use of icodextrin are key therapy strategies. Nutritional evaluation and support, preferential use of low-glucose degradation products solutions, and prescription of renin-angiotensin-aldosterone system acting drugs should also be part of the panel to improve diabetic care under peritoneal dialysis.
Reproductive biology Interleukin-2 receptor b gene C 627 T polymorphism in Korean women with endometriosis : a case – control study

Gyoung Hoon Lee1, Young Min Choi2,4, Sung Hoon Kim3, Min A. Hong2, Seung Yup Ku2, Seok Hyun Kim2, Jung Gu Kim2, and Shin Yong Moon2 Department of Obstetrics and Gynecology, Seoul Medical Center, Seoul, Republic of Korea Department of Obstetrics and Gynecology, The Institute of Reproductive Medicine and Population, Medical Research Center, Seoul National University College of Medicine, Seoul, Republic of Korea Department of Obstetrics and Gynecology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
A novel approach to priority-setting for HIV prevention among adults in Uganda

The study used economic and ethical theory, empirical evidence and local stakeholders views to develop a checklist of features of an ideal approach to priority-setting. This was used to determine the ideal approach for priority-setting for HIV prevention in Uganda. The Assessing Cost-Effectiveness (ACE) approach was determined to be the ideal approach using the checklist developed. A pilot study using the approach determined that in Uganda, blood safety and HIV counselling interventions are the most cost-effective, equitable and acceptable interventions. Mass media interventions were the least cost-effective and affordable, had a weak evidence base but were more acceptable. On the other hand interventions targeting Most-at-risk-populations were cost-effective but least acceptable. The study demonstrates the importance of balancing technical rigor and due process to ensure buy-in by stakeholders.
HOTTIP is upregulated in acute myeloid leukemia that indicates a poor prognosis

LncRNA HOTTIP (HOXA transcript at the distal tip) gene is located in physical contiguity (chr 7p15.2) with HOXA13 and directly controls the HOXA locus gene expression by interaction with the WDR5/MLL complex. HOX genes encode transcription factors regulating embryonic development and cell fate. Recent evidence highlighted HOTTIP plays a crucial role in some solid tumors. However, little is known about the role of HOTTIP in acute myeloid leukemia (AML). In this study, We evaluated HOTTIP expression in bone marrow of de novo AML patients, AML-CR (complete remission) patients and normal controls by real-time quantitative reverse transcription-PCR (qRT-PCR), and then we analyzed the relationship between the HOTTIP expression level and the clinicopathological parameters of AML. The results showed that HOTTIP is markedly upregulated in de novo AML patients compared with those of AML-CR patients and normal controls; the higher expression level of HOTTIP in AML patients was significantly correlated with NCCN high risk group and higher blast cells. In conclusion, our study indicated that HOTTIP is highly expressed in AML patients, and the levels of HOTTIP are associated with AML patients’ clinical progression.
Influence of the Surface Treatment on Shear Bond Strength of Coating Ceramics of Zirconia

Several surface treatments have been suggested to improve coating ceramics adherence to zirconia. However, which of these treatments results in larger bond resistance is yet to be determined. This work measured bond resistance between coating ceramics E.max Ceram (Ivoclair Vivadente®, Germany)(E), ZirLiner (Ivoclair Vivadente®, Germany) and zirconia samples Vipi Block Zirconn (Vipi, Brazil). Specimens were divided into six groups (n=10) and submitted to different surface treatments. Group1: smooth block + E; group 2: smooth block, ZirLiner + E; group 3: blasting with Aluminum Oxide 110um + E; group 4: blasting with Aluminum Oxide 110um, ZirLiner+ E; group 5: rough block + E; group 6: rough block, ZirLiner+ E. Results showed that the surface treatment significantly influenced shear bond resistance (p < 0.001). ZirLiner application significantly reduced bond resistance between zirconia and coating ceramics where the surface was not roughened nor submitted to blasting. ZirLiner did not reduce bond resistance of roughened surfaces. Smooth, roughened and blasted surfaces without the application of ZirLiner showed no differences in bond resistance. Hence, we conclude that the application of ZirLiner does not increase shear bond resistance. Experimental article (J Int Dent Med Res 2017; 10(2): pp. 193-197)