Miracle-dz/UniFAR-FTUs huggingface dataset:
Written feedback and continuity of learning in a geographically distributed medical education program

Background: The provision of effective feedback on clinical performance for medical students is important for their continued learning. Written feedback is an underutilised medium for linking clinical performances over time. Aims: The aim of this study is to investigate how clinical supervisors construct performance orientated written feedback and learning goals for medical students in a geographically distributed medical education (GDME) programme. Methods: This qualitative study uses textual analysis to examine the structure and content of written feedback statements in 1000 mini-CEX records from 33 Australian undergraduate medical students during their 36 week GDME programme. The students were in their second clinical year. Results: Forty percent of mini-CEX records contained written feedback statements. Within these statements, 80% included comments relating to student clinical performance. The way in which written feedback statements were recorded varied in structure and content. Only 16% of the statements contained student learning goals focused on improving a student's clinical performance over time. Very few of the written feedback statements identified forward-focused learning goals. Conclusion: Training clinical supervisors in understanding how their feedback contributes to a student's continuity of learning across their GDME clinical placements will enable more focused learning experiences based on student need. To enhance student learning over time and place, effective written feedback should contain focused, coherent phrases that help reflection on current and future clinical performance. It also needs to provide enough detail for other GDME clinical supervisors to understand current student performance and plan future directions for their teaching.
THE DOEBLIN CONDITION FOR A CLASS OF DIFFUSIONS WITH JUMPS †

We prove non-explosiveness and a lower bound of the spectral gap via the strong Doeblin condition for a large class of stochastic processes evolving in the interior of a region D ⊆ Rd with boundary ∂D according to an underlying Markov process with transition probabilities p(t, x, dy), undergoing jumps to a random point x in D with distribution νξ(dx) as soon as they reach a boundary point ξ. Besides usual regularity conditions on p(t, x, dy), we require a tightness condition on the family of measures νξ, preventing mass from escaping to the boundary. The setup can be applied to a multitude of models considered recently, including a particle system with the Bak-Sneppen dynamics from evolutionary biology.
Genetic Algorithm-based Multi-Word Automatic Language Translation

An Automatic Language Translation System’s quality depends mainly on that of two components: the Alignment approach and the Translation Model. In this paper, we will present an alignment approach that covers one-to-one, one-to-many, many-to-one, many-to-many alignment, whose output is used by a translation model based on Genetic Algorithm. The Translation Model searches for the decomposition of a phrase, into singleand multi-word units, that gives the best translation, while allowing for units’ containment and overlapping. The system was used on 17475 English-French phrases from the European Parliament’ debates.
Virtual banking and online business

Banks play a crucial role in promoting online businesses. Even though e-shoppers have the option of cash-on-delivery, which seems to be secure and trustworthy, still there is an urge for the e-payment schemes, which can only be provided through banks. Banks act as strong and trustworthy intermediaries in the online transactions and they provide a bold opening in the online business. At present, banks have e-payment systems like Internet banking, electronic fund transfers (NEFT/RTGS), plastic money (credit card & debit card) and mobile banking. These systems provide payment to online transactions like online purchases of products, mobile recharges, hotel booking, ticket booking, etc. by considering all types of security meas-ures. For the real working of these e-services, the need of apt infrastructures is an inevitable feature. This paper examines the efficient utilization of mobile banking by the bank customers who have all the infrastructures for availing the same. The results showed that the majority of the sample customers selected for the study owned a mobile but only few of them use a mobile as their mode of access to banks. They also revealed that the people were comparatively well aware of mobile banking, but its usage level was very low. The mostly used e-settlement with mobile banking was for mobile top-up by urban area customers and rural area customers and there was no significant difference between the urban area and rural area customers regarding the utilization of mobile banking.
A Parallel Personalized Recommendation Algorithm using Bipartite Graphs

BDM-NBI algorithm is proposed in this paper. It focuses on the analysis of a personalized recommendation algorithm that utilizes a weighted bipartite graph suitable for processing big data. To improve the performance of this recommendation algorithm through parallel processing techniques, a sparse matrix partitioning algorithm is then developed that uses the bipartite graph as input. Our algorithm adopts bipartite graph partitioning using a vertex separator method that partitions a high-dimensional sparse matrix into a pseudo-block based diagonal matrix. Then, the recommendation algorithm analyzes all weighted sub-matrices in parallel. We produce the global recommendation weighted matrix by merging all of the sub-matrices in parallel. Experiments with Hadoop show that our algorithm has good approximation for small matrices and excellent scalability.
Electric field determination in DC polymeric power cable in the presence of space charge

The pulsed electroacoustic (PEA) technique was used to perform space charge measurements in polymeric power cables. However, for a practical dc power cable the electric field is affected by conductivity of the material, which is a function of both temperature and electric field. The coupled problems inflict difficulties to identify the electric field distribution in high voltage (HV) cables, which therefore poses threat to the reliability in operation of dc power cables. In this paper we proposed a method of determining electric field distribution in XLPE power cable, where under temperature gradient the existence of space charge density of the cable is determined by means of a modified PEA system. Commercial 11 kV ac XLPE power cable is applied and measured under an applied dc voltage of 80 kV. The space charge across the insulation was obtained and COMSOL Multiphysics software package is used to accurately determine the electric field distribution in the dc power cable by considering the influences of both the effects of temperature and electric field on the conductivity of the insulating material. Therefore, the results of the numerical modelling shall give us a clearer representation of the electric field distribution in HVDC cables.
- Melanocyte Stimulating Hormone Potentiates p 16 / CDKN 2 A Expression in Human Skin after Ultraviolet Irradiation 1

The contribution of the UV component of sunlight to the development of skin cancer is widely acknowledged, although the molecular mechanisms that are disrupted by UV radiation (UVR) resulting in the loss of normal growth controls of the epidermal stem cell keratinocytes and melanocytes is still poorly understood. -Melanocyte stimulating hormone ( -MSH), acting via its receptor MC1, has a key role in skin pigmentation and the melanizing response after exposure to UVR. The cell cycle inhibitor p16/CDKN2A also appears to have an important function in a cell cycle checkpoint response in skin after exposure to UVR. Both of these genes have been identified as risk factors in skin cancer, MC1R variants are associated with increased risk to both melanoma and nonmelanoma skin cancers, and p16/CDKN2A with increased risk of melanoma. Here we demonstrate that the increased expression of p16 after exposure to suberythemal doses of UVR is potentiated by -MSH, a ligand for MC1R, and this effect is mimicked by cAMP, the intracellular mediator of -MSH signaling via the MC1 receptor. This link between p16 and MC1R may provide a molecular basis for the increased skin cancer risk associated with MC1R polymorphisms.
Obturation Techniques Allow Microbial Leakage Unless Protected.

PURPOSE To evaluate the quality of the apical 5-mm seal produced by different filling techniques using a bacterial leakage model. MATERIALS AND METHODS Sixty-five extracted single-rooted human teeth were decoronated, prepared, and instrumented. Roots were randomly divided into three experimental groups (15 roots each) and control groups (10 roots each). The apical 5 mm was filled with cold lateral condensation (CLC) technique, continuous wave of condensation (CWC), or injectable thermoplasticized gutta-percha (Obtura II) using AH26 Plus as a sealer. Positive controls were filled with gutta-percha without sealer, whereas negative controls were filled with a CLC technique and covered completely with two layers of nail varnish, including the orifice. A dual-chamber leakage model using Enterococcus faecalis as a microbial marker was used for leakage evaluation. Bacterial penetration was monitored over a 60-day period, and leakage was recorded when turbidity was observed in the lower chamber. RESULTS All positive controls exhibited turbidity in the lower chamber within 24 hours. All negative controls demonstrated no bacterial leakage for the entire 60-day observation period. The estimated mean day for leakage was 32 for CLC, 35 for CWC, and 30 days for Obtura II. Wilcoxon test showed no statistically significant difference (p = 0.98) in the survival time between the experimental groups. CONCLUSION The three filling techniques produced similar resistance to bacterial leakage when used to fill the apical 5-mm segment of the canal while leaving the rest of the canal unfilled.
PREDICTION OF DRIP LOSS AND ULTIMATE PH IN PORK SEMIMEMBRANOSUS BY THE NITFOM

Most of the NIR spectrometers available are not suited for on line measurements in slaughterhouses. The aim of the study was to test the ability of a device dedicated to industrial measurement (NitFom, Frontmatec) for prediction of drip loss and ultimate pH. A calibration model fitting was satisfactory (drip loss, R2=0.59 and pHu, R2=0.70) and the prediction accuracy levels for drip loss were similar to calibration results found with the Labspec4, a laboratory Vis-NIR spectrometer (NitFom, rmsecv=1.5% and Labspec4, 1.7%). This study revealed that prediction of drip loss by NIRS could be a good alternative to measurement of ultimate pH for drip loss sorting.
A Robust Approach in Iris Recognition for Person Authentication

In Iris recognition authentication process, iris and sclera are used as the previous inputs using to recognize the eye with different mechanisms like segmentation combining with different versions. In this paper, entirely biometric-based personal verification and identification methods have gained much interest with an increasing accent on safety. The iris texture pattern has no links with the genetic structure of an individual and since it is generated by chaotic processes externally visible patterns imaged from a distance. Iris patterns possess a high degree of randomness and uniqueness. Here we propose two algorithms they are K-Means algorithm and canny Edge Detection. Totally eight process acting to identify the pupil and also for iris recognition. Comparing images k- means algorithm is to give accurate contest. As a final point it leads to open authentication person details from database.
Robotics API: object-oriented software development for industrial robots

Industrial robots are flexible machines that can be equipped with various sensors and tools to perform complex tasks. However, current robot programming languages are reaching their limits. They are not flexible and powerful enough to master the challenges posed by the intended future application areas. In the research project SoftRobot, a consortium of science and industry partners developed a software architecture that enables object-oriented software development for industrial robot systems using general-purpose programming languages. The requirements of current and future applications of industrial robots have been analysed and are reflected in the developed architecture. In this paper, an overview is given about this architecture as well as the goals that guided its development. A special focus is put on the design of the object-oriented Robotics API, which serves as a framework for developing complex robotic applications. It allows specifying real-time critical operations of robots and tools, including advanced concepts like sensor-based motions and multi-robot synchronization. The power and usefulness of the architecture is illustrated by several application examples. Its extensibility and reusability is evaluated and a comparison to other robotics frameworks is drawn.
Sexual orientation and mental health.

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Investment decisions of private households and the role of financial advice

The following research questions are addressed in this thesis: 1. Is it possible to correctly evaluate other persons’ preferences? Which factors drive the ego-centric bias? (Chapter 3) 2. What does the typical household portfolio look like? What are determinants of households’ investment behavior? (Chapter 4) 3. Which factors drive the willingness to accept financial advice? (Chapter 5)
Molecular diagnostics in obstetrics and gynecology.

● Prenatal and antenatal diagnosis of inherited disease ● Diagnosis of infectious agents ● Accurate diagnosis and classification of neoplasia ● Pharmacological profiling for therapy customization ● Determination of genetic susceptibility to complex genetic diseases: diabetes, hypertension, hyperlipidemia, thrombosis, cancer ● Molecular fingerprinting for paternity, transplantation, and forensics
GRaSP: A Multilayered Annotation Scheme for Perspectives

This paper presents a framework and methodology for the annotation of perspectives in text. In the last decade, different aspects of linguistic encoding of perspectives have been targeted as separated phenomena through different annotation initiatives. We propose an annotation scheme that integrates these different phenomena. We use a multilayered annotation approach, splitting the annotation of different aspects of perspectives into small subsequent subtasks in order to reduce the complexity of the task and to better monitor interactions between layers. Currently, we have included four layers of perspective annotation: events, attribution, factuality and opinion. The annotations are integrated in a formal model called GRaSP, which provides the means to represent instances (e.g. events, entities) and propositions in the (real or assumed) world in relation to their mentions in text. Then, the relation between the source and target of a perspective is characterized by means of perspective annotations. This enables us to place alternative perspectives on the same entity, event or proposition next to each other.
Domain Architecture of Pyruvate Carboxylase, a Biotin-Dependent Multifunctional Enzyme

Biotin-dependent multifunctional enzymes carry out metabolically important carboxyl group transfer reactions and are potential targets for the treatment of obesity and type 2 diabetes. These enzymes use a tethered biotin cofactor to carry an activated carboxyl group between distantly spaced active sites. The mechanism of this transfer has remained poorly understood. Here we report the complete structure of pyruvate carboxylase at 2.0 angstroms resolution, which shows its domain arrangement. The structure, when combined with mutagenic analysis, shows that intermediate transfer occurs between active sites on separate polypeptide chains. In addition, domain rearrangements associated with activator binding decrease the distance between active-site pairs, providing a mechanism for allosteric activation. This description provides insight into the function of biotin-dependent enzymes and presents a new paradigm for multifunctional enzyme catalysis.
Physical exercise prior to hematopoietic stem cell transplantation: A feasibility study

ABSTRACT Purpose: This study explores the feasibility and preliminary effectiveness of an exercise program in people scheduled for hematopoietic stem cell transplantation (HSCT). Methods: In this controlled clinical trial, we compare pre-transplantation exercise to no exercise in the waiting period for an allogeneic of autologous HSCT. The supervised individually tailored exercise program (4–6 weeks) consisted of aerobic endurance, muscle strength, and relaxation exercises, administered twice a week in the period prior to HSCT. Feasibility was determined based on inclusion rate, attrition rate, adherence to intervention, safety, and satisfaction (0–10). Preliminary effectiveness was determined primarily by self-perceived physical functioning, quality of life (QOL), and fatigue. Secondary outcomes were global perceived effect (GPE), blood counts, hospital stay, and physical fitness. Results: Forty-six patients were eligible, of whom 29 (69%) participated: 14 in the intervention group and 15 in the control group. The adherence rate to training was 69%. No adverse events or injuries occurred. Satisfaction of training conditions was high (mean 9.2 ± 1.3). Positive (follow-up) trends in favor of the intervention group were found for self-perceived physical functioning, QOL, fatigue, GPE, blood counts, and hospital stay. Conclusion: Exercise prior to HSCT is safe and feasible, and positive trends suggest favorable preliminary effectiveness. Adherence to the exercise program needs to be optimized in a future trial.
Agricultural Trade Reform, Reallocation and Technical Change: Evidence from the Canadian Prairies

We decompose the impact of trade reform on technology adoption and land use to study how aggregate changes were driven by reallocation versus within-farm adaptation. Using detailed census data covering over 30,000 farms in Alberta, Saskatchewan and Manitoba, Canada we find a range of new results. We find that the reform-induced shift from producing low-value to high-value crops for export, the adoption of new seeding technologies and reduction in summerfallow observed at the aggregate level between 1991 and 2001 were driven mainly by the within-farm effect. In the longer run, however, reallocation of land from shrinking and exiting farms to growing and new farms explains more than half of the aggregate changes in technology adoption and land use between 1991 and 2011.
Ultimate controlling shareholders and dividends payout: Evidence from Hong Kong

This study investigates how ultimate controlling shareholders influence dividends payout policy in industrial firms in the natural experimental setting of Hong Kong, which features no tax on dividends and the prevalence of concentrated ownership. We find that the ultimate control held by the controlling shareholders is negatively associated with the level of dividends payout and that the dividend payout behavior in firms with controlling shareholders exhibits similar patterns as in US, UK and EU firms. We also conduct separate analysis on family controlled and state controlled firms and find that the heterogeneity across these large shareholders has a confounding effect on corporate dividend payout behavior.
A Methodology for Creating Large Scale Reference Models with Known Uncertainty for Evaluating Imaging Solution

We propose a methodology for acquiring reference models with known uncertainty of complex building-sized objects. Those can be used to quantitatively evaluate the performance of passive 3D reconstruction when working at large scale. The proposed methodology combines the use of a time-of-flight scanner, a laser tracker, spherical artifacts and contrast targets. To demonstrate the soundness of the proposed approach, we built a reference model composed of a 3D model of exterior walls and courtyards of a 130m × 55m × 20m Building. The expanded uncertainty of the 3D reference model and the spatial resolution were calculated.
A Novel Zero-Voltage-Switching PWM Full-Bridge Converter

Introducing resonant inductance and clamping diodes into the full-bridge converter can eliminate the voltage oscillation across the rectifier diodes and increase the load range for zero- voltage-switching (ZVS) achievement. The resonant inductance is shorted and its current keeps constant when the clamping diode is conducting, and the clamping diodes are hard turned-off and cause significant reverse recovery loss if the output filter inductance is relatively larger. This paper improves the full-bridge converter by introducing a reset winding in series with the resonant inductance to make the clamping diode current decay rapidly when it conducts. The reset winding not only reduces the conduction losses, but also makes the clamping diodes naturally turn-off and avoids the reverse recovery. The operation principle of the proposed converter is analyzed. The design of the turns ratio of transformer is discussed. A 1kW prototype converter is built to verify the operation principle and the experimental results are also demonstrated.