Miracle-dz/UniFAR-FTUs huggingface dataset:
AC 2011-1412: AN INTERNATIONAL COMPARISON OF ENGINEER- ING PROGRAMS IN THEIR EMPHASES AND PROFESSIONAL SKILLS DEVELOPMENT

Gul Kremer is an Associate Professor of Engineering Design and Industrial Engineering at the Pennsylvania State University. She received her Ph.D. from University of Missouri-Rolla in Engineering Management and Systems Engineering. Her research interests include multi-criteria decision analysis methods applied to improvement of products and systems and enhancing creativity in engineering design settings. Her published work appears in journals such as Journal of Mechanical Design, Journal of Engineering Design, Journal of Intelligent Manufacturing, Journal of Engineering Education, European Journal of Engineering Education and Technovation. She is a member of IIE, ASME, and ASEE. She is also a National Research Council-US AFRL Summer Faculty Fellow for the Human Effectiveness Directorate (20022004), an invited participant of the National Academy of Engineering (NAE) Frontiers in Engineering Education Symposium (2009), and a Fulbright Scholar to Ireland (2010).
Mobile O2O Commerce Platform Quality: Scale Development and Validation

: The Drainage effect of mobile O2O commerce is closely related to the platform quality. However, to date there has been no measure specifically designed to measure mobile O2O commerce platform quality (MCPQ) . The purpose of this study is to develop a scale for measuring MCPQ based on the IS success model. Exploratory factor analysis (study 1) and confirmatory factor analysis (study 2) were performed on 613 samples. Results showed that the scale of MCPQ is a reliable and valid instrument, and that mobile O2O commerce platform quality is a multi-dimensional construct composed of five dimensions, i.e., interface design, operational efficiency, content quality, demand responsiveness, and privacy protection.
Non-Destructive Testing of Work-Related Hypertrophic Alterations of the Horse Metatarsus, Demonstrated through the Example of Scythian Age Horse Remains

Recently we have managed to elaborate a method to evaluate the permanent marks caused by work and lifestyle on horses’ metatarsus, which is suitable to establish – even in the absence of associated artefacts - the way horses of archaeological age were used. The structure of the metatarsus is most typically characterising the specimen in the zone of f.n. (foramen nutricium), therefore this was the location where we prepared across sectional ground sample, serving as the basis of the analyses. Recently in several projects we have faced the problem that - for reasons of the protection of cultural heritage artefacts - it is just the most important finds in the case of which bones should not be examined in a destructive manner, i.e. by preparing cross-sectional ground samples as we do when applying the basic method. Furthermore, the high demand for such testing also required us to elaborate a faster and non-destructive method of the analysis the metatarsus-cortex. On the recent level of technological development, theoretically there are two widely available options for that: magnetic resonance imaging and computed tomography, however, our experience shows that in archaeological practice only the latter is usable. We tested the new method through the examination of the horses of the CsanytelekÚjhalastó and Szentes-Vekerzug Scythian cemeteries; the experience gained, and the lessons learnt from these tests, important from the viewpoint of methodology, will be described herein. The result of the tests conducted to analyse hypertrophy caused by work in the horse remains of the above-mentioned cemeteries will be published in the separate study.
DEVELOPMENT AND VALIDATION OF RP-HPLC METHOD FOR THE ESTIMATION OF NALTREXONE AND ACETAMINOPHEN IN SYNTHETIC MIXTURE

: A simple, rapid, accurate, precise specific and sensitive reverse phase high performance liquid chromatographic method has developed and validated for the simultaneous estimation of Naltrexone (NAL) and Acetaminophen (ACT) in synthetic mixture. The chromatographic separation was performed using Cyber Lib C18 Column (250 mm × 4.6 mm, 5 µm), utilizing a Mobile phase Methanol: acetonitrile: Phosphate Buffer 50:30:20 v/v (pH adjusted to 5.8) at Flow rate of 1 ml/min, injection volume 20µl with UV detection at 230nm. The retention time of Acetaminophen (ACT) 4.20 min and Naltrexone (NAL) 5.95 min using RP-HPLC. The % RSD Value was found for the validation parameter that preciseness of the proposed method and is applicable for routine analysis for quantitative determination of NAL and ACT. The LOD was found for ACT 3.04 µg/ml, NAL 0.174 µg/ml for developed method respectively. The LOQ was found for ACT 10.16 µg/ml, NAL 0.58 µg/ml for developed method respectively. The result of analysis was validated according to ICH Q2 R1 Guidelines. This simple and precise method can be used of both drugs in quality control laboratories. high performace liquid chromatography, validation. Analytical RP-HPLC method was developed for the simultaneous estimation of Acetaminophen (ACT) and Naltrexone (NAL) in Synthetic mixture. The method was developed to estimate and separate Acetaminophen (ACT) and Naltrexone (NAL) using RP-HPLC and developed method was validated as per ICH Q2 (R1) guideline. A Specific, precise, Accurate, Robust and cost-effective Reversed Phase High Performance Liquid Chromatographic method was developed for simultaneous determination of Acetaminophen (ACT) and Naltrexone (NAL)in their synthetic mixture. For RP-HPLC two drugs was separated by Cyber Lib C18 Column (250 mm × 4.6 mm,5 μm), utilizing a Mobile Phase Methanol: acetonitrile: Phosphate Buffer 50:30:20 v/v (pH adjusted to 5.8) at Flow Rate of 1 ml/min, injection volume 20 μl with uv detection at 230 nm. The retention time of Acetaminophen (ACT) 4.20 min and Naltrexone (NAL) 5.95 min using RP-HPLC. The co-relation coefficient of 0.9998 for ACT and 0.9985 for NAL HPLC method respectively. The % RSD Value was found for the validation parameter that indicates the preciseness of the proposed method and is applicable for routine analysis for quantitative determination of ACT and NAL. The LOD was found for ACT 3.04μg/ml, NAL 0.174 μg/ml for developed method respectively. The LOQ was found for ACT 10.16 μg/ml, NAL 0.58 μg/ml for developed method respectively. The result of analysis was validated according to ICH Q2 R1 Guidelines. This simple and precise method can be used of both drug in quality control laboratories.
Fast Vortex Particle Method for Fluid-Character Interaction

High fidelity interactions between game characters and gaseous effects like smoke, fire and explosions are often neglected in real-time applications due to the high computational cost of simulating fluids. In addition, the pose of game characters is only known at run-time as it depends on input from the user. Thus simulation-suitable representations of surface geometry must be generated on the fly. Common approaches like conversion into signed distance fields are not feasible for high-resolution geometry due to the computational cost and the amount of memory required on the GPU to store these fields. We present a purely vortex particle based fluid model for games which is capable of resolving the collision between fluids and complex objects such as moving game characters in real time. To handle collisions, we use a collocation method which only require a set of disassociated particles stuck to collision surfaces. Contrary to most other vorticity based methods, we use a simple inversion free approach to obtain the collision velocity field on surfaces while at the same time avoiding the expensive pressure projection step associated with pressure based fluid solvers.
Open Research Online Assessing the educational linked data landscape Conference or Workshop Item

In this research note, we present a preliminary study of available web datasets related to education, providing an overview of this area and, more importantly, highlighting how such linked datasets form a globally addressable network of resources for education. As expected, a certain level of heterogeneity was found. We therefore also show how a minor integration effort can improve the global cohesion of such a network of educational web data.
Fault Current Contribution from VSC-based Wind Turbines to the Grid

— When performing short-circuit investigations in power systems including wind power, valuable and accurate results can only be obtained by considering the real behavior of wind turbines which is specified in national grid codes. This requires the consideration of the exact active and reactive current injections during the fault. In this paper an equivalent VSC-based wind turbine model for short-circuit calculations at steady-state conditions is developed and presented. The model is implemented in DigSILENT PowerFactory using the DPL-Programming Language. The developed wind turbine model is successfully evaluated proving that the DPL routine accurately implements the injection of the desired active and reactive current components according to the German grid code; the model is also compared with the validated 3.6MW variable-speed wind turbine dynamic model developed and provided by Siemens Wind Power. The wind turbine model is finally rescaled to obtain an aggregate wind farm model and used to perform short-circuit calculations in a realistic scenario; the Danish transmission system is considered and a large offshore wind farm with VSC-based wind turbines is included in the investigation.
Analytical Solutions of Finite Wedges Coated by an Orthotropic Coating Containing Multiple Cracks and Cavities

This paper presents a general formulation for an isotropic wedge reinforced by an orthotropic coating involving multiple arbitrarily oriented defects under out of plane deformation. The exact closed form solution of the problem weakened by a screw dislocation in the isotropic wedge is obtained by making use of finite Fourier cosine transform. Also, the closed-form solutions of the out of plane stress and displacement fields are obtained. After that, by making use of a distributed dislocation approach, a set of singular integral equations of the domain involving smooth cavities and cracks subjected to out of plane external loading are achieved. The cracks and cavities are considered to be only in the isotropic wedge. The presented integral equations have Cauchy singularity and must be evaluated numerically. Multiple numerical examples will be presented to show the applicability and efficiency of the presented solution. The geometric and point load singularities of the stress components are obtained and compared with the available data in the literature.
A Stage Model of Social Media Adoption

There is very little understanding of how organisations manage social media. In particular, there is no established path of activities that guide a company down the path of social readiness, and the management and organisation of social media is under-researched. Consequently, many organisations experience significant problems with their social media business profiles (SMBP). Stage of growth (SoG) models represent a picture of evolution, where the current stage can be understood in terms of history and future, providing an opportunity to identify the stages, paths of evolution, benchmark variables, and dominant problems experienced by organisations at each stage. Following a review of four decades (1974-2014) of SoG model research, and a review of existing social media research and practitioner insight across multiple domains, the authors adopt Gottschalk and Solli-Saetherâ€™s (2010) [1] five step Stage Modelling Process as a research methodology to develop a stage model of SMBP implementation and management. The paper analyses the findings from Step 1 (Suggested Stage Model) and Step 2 (Conceptual Stage Model) of the Stage Modelling Process, before concluding with the key findings. This research contributes to academia by enhancing the existing four decades of knowledge of SoG models, extending it to the management of social media in an organisational context. This research is also a critical piece of research from a practitioner perspective, as organisations struggle to devise tactics and strategies to manage social media adoption and use.
TRAFFIC SIGN BOARD RECOGNITION AND VOICE ALERT SYSTEM

: There is a huge number of road accidents occurring day by day, Traffic sign play a important role in this. This become very helpful for the pedestrians and also drivers. This reduce the risk of road accidents and accident death. Here the proposed system work in real time and produce a voice to the driver by detecting a traffic sign, and this will be very helpful for the drivers for advance knowing the traffic signs.
DOMAIN ONTOLOGY BASED RECOMMENDATION USING MULTI-LABEL TEXT CATEGORIZATION APPROACH

Abstract - As deep web grows at a very fast pace, there has been increased interest in techniques that help efficiently locate deep-web interfaces. An exploratory search may be driven by a user’s curiosity or desire for specific information. When users investigate unfamiliar fields, they may want to learn more about a particular subject area to increase their knowledge rather than solve a specific problem. A matching query style has significant limitations. Search results are satisfactory only when users give the right search words. To achieve more accurate results for an exploratory search, Smart Crawler ranks websites to prioritize highly relevant ones for a given topic. We evaluate the effectiveness of the proposed technique Ontology Recommendation Framework, and report the findings (e.g., the importance of context and content factors) in web revisitation Ontology Recommendation Framework delivers the best re-finding quality in finding rate. In proposed system the multi-key word search concept will be used, the system will be giving all the possible relevant links. This will be achieved in two ways the proposed framework by considering numerous ontologies from different domains and more user requirements while focusing on the other multi-label text categorization approaches. The query which is submitted to the application will be preprocessed, after pre-processing only root words will be taken and it will find Synonym, Hypernym and Hyponym and it will listed to the user so this is the reason that all possible links can be found related to search. Our dynamic management of context and content memories including decay and reinforcement strategy can mimic users’ retrieval and recall mechanism If any words in that displayed list are selected then all the website links, images and news feeds will be given as final output
COVID-19 pandemic impact on preterm birth and stillbirth rates associated with socioeconomic disparities: A quasi-experimental study

Background Conflicting evidence exists on the impact of the COVID-19 pandemic restrictions on preterm birth (PTB) and stillbirth rates. We aimed to evaluate changes in PTB and stillbirth rates before and during the pandemic period and assess the potential effect modification of socioeconomic status (SES). Methods Using the linked administrative health databases from Manitoba, Canada, we conducted a quasi-experimental study among all pregnant women, comparing 3.5 years pre-pandemic (1 October 2016 to 29 February 2020) to the first year of the pandemic (1 March 2020 to 31 March 2021). We used interrupted time series analysis using autoregressive integrated moving average models to assess the quarterly rates of PTB (<37 weeks) and stillbirths. We calculated the predicted trends based on pre-pandemic period data. Finally, we evaluated the lower and higher SES (average annual household income) using subgroup analysis and interaction models. Results We examined 70,931 pregnancies in Manitoba during the study period. Following the implementation of COVID-19 restrictions in March 2020, there were no statistically significant changes in the rates of both PTB (p=0.094) and stillbirths (p=0.958). However, over the pandemic, the PTB rate significantly decreased as a rebound effect by 0.63% per quarter(p=0.005); whereas the stillbirth rate did not change significantly (p=0.878) compared to pre-pandemic period. During the first quarter of 2021, the absolute differences in the observed and expected PTB and stillbirth percentages were 2.05% and 0.04%, respectively. We observed a statistically significant effect modification by SES for PTB rates (p=0.047). Conclusion While the onset of COVID-19 pandemic restrictions was not associated with significant effects on PTB and stillbirth rates, we observed a statistically significant rebound effect on PTB rates. The impact of COVID-19 on preterm birth was dependent on SES, with higher influence on families with lower SES. Further studies are needed to detect future trend changes during pandemic waves after 2021 and assess potential underlying mechanisms.
Effects of Hormone Therapy on survival, cancer, cardiovascular, and dementia risks in 7 million menopausal women over age 65: a retrospective observational study

Background The long-term influence of menopausal hormone therapy remains unanswered due to the termination of randomized clinical trials and discordant findings from observational studies. Methods From 2007-2019 enrollment records of 100% Medicare beneficiaries, we identified 7 million female enrollees aged 65 or more. We identified type, route and strength of estrogen based on their prescription drug utilization records. Using vital status record and encounter records, we defined the first onset of thirteen patient outcomes; all-cause mortality; 5 cancers (breast, lung, endometrial, colorectal, ovarian cancers); 6 CV conditions (ischemic heart diseases, heart failure, venous thromboembolism, stroke, atrial fibrillation, acute myocardial infarction); and dementia. Then, we implemented an extended Cox regression analysis to examine the effects of type, route, and strength of estrogens on each of 13 study outcomes. Findings Estrogen monotherapy (ET) exhibited a significant, 20% (aHR=0.80; 95% CI 0.78-0.82), relative risk reduction of mortality. The reduction was greater with estradiol (aHR=0.78; 95% CI 0.75-0.80) than conjugated estrogen (aHR=0.86; 95% CI 0.85-0.88), and with vaginal (aHR=0.69; 95% CI 0.65-0.74) than oral (aHR=0.89; 95% CI 0.87-0.90) and transdermal (aHR=0.78; 95% CI 0.75-0.81) preparations. ET also exhibited significant risk reductions for all study cancers, breast (aHR=0.82; 95% CI 0.80-0.84), lung (aHR=0.87; 95% CI 0.84-0.90), endometrial (aHR=0.65; 95% CI 0.62-0.69), colorectal (aHR=0.86; 95% CI 0.82-0.90) and ovarian (aHR=0.83; 95% CI 0.79-0.88). ET slightly increased risks of ischemic heart diseases (aHR=1.03; 95% CI 1.01-1.04). However, such risk was not observed with low dose ET (aHR=0.98; 95% CI 0.97-0.99). Both combination therapy (aHR=1.11; 95% CI 1.08-1.14) and progestogen monotherapy (aHR=1.09; 95% CI 1.05-1.13) exhibited a significantly increased risk of breast cancer. Oral HT exhibited a moderately increased risk of dementia. Conclusions Among female Medicare beneficiaries aged over 65, the effect of menopausal hormone therapy varies by type, route, and strength but overall estrogen seemed beneficial.
Endovascular Device Testing with Particle Image Velocimetry Enhances Undergraduate Biomedical Engineering Education

We investigated the use of a new system, HemoFlow, which utilizes state of the art technologies such as particle image velocimetry to test endovascular devices as part of an undergraduate biomedical engineering curriculum. Students deployed an endovascular stent into an anatomical model of a cerebral aneurysm and measured intraaneurysmal flow velocities with HemoFlow before and after. The measurements were used as a basis for teaching biofluid mechanical principles. A detailed survey-based evaluation was administered before and after the curriculum. The pre- and post-survey passed reliability testing with Cronbach’s alphas of 0.79 and 0.78, respectively. Further, the survey passed validity testing as questions testing the same latent variable factored together with weights all above 0.4. There was a statistically significant improvement in understanding according to a Wilcoxon signed ranks test. Our results indicate that using HemoFlow for endovascular device testing in an active learning-based curriculum improved student understanding of bio fluid mechanics.
Ecosystem-based ESIA approaches in deep-sea mining

A new paradigm in Environmental and Social Impact Assessment is required for permitting of deep-sea mining. The lack of precedent, vocal opposition, scientific uncertainty and untested legislation are some of the factors that dictate the need for novel approaches. The uncertainty dimension has placed a focus on marine scientific research elements of ESIA. While fundamental research is required, this focus creates the potential for atomised research topics and within the timelines of a mining proposal, potentially leads to a body of research that is difficult to integrate into an ESIA. Ecosystem-based approaches are needed by contractors and regulatory agencies as a framework for assessment that connects ESIA studies to indicators of serious harm and connects baseline studies with monitoring requirements. Ecosystem-based approaches are required to give contractors confidence that environmental studies are nested within an integrated ESIA structure and that study findings inform options in mine planning and link to monitoring and adaptive management scenarios. For regulators and other stakeholders, ecosystem-based approaches are required to ensure that environmental and societal values are addressed, that static environmental study ‘completeness’ tests do not override information requirements, and that data from individual projects can evolve into knowledge at the regional scale. We present practical examples of ecosystem-based approaches to deep-sea mining that provide a socio-ecological framework for ESIA and a tool for decision-making support and best practice.
THE EFFECT OF PROFESSIONAL CHALLENGES, PERSONAL VALUE, JOB VALUE, WORK CULTURE AND CAREER CLARITY ON SCA PROFESSIONALITY WITH INDIVIDUAL LEARNING IN THE GOVERNMENT OF THE EAST BARITO DISTRICT

This study aimed to analyze the effect of professional challenges, personal values, work values, work culture, and career development on individual learning, knowledge sharing, and professionalism of SCA in the East Barito Regency Government. The population in this study is the State Civil Apparatus consisting of Civil Servants who occupy structural positions, which consist of Pratama High Leadership Officials (Echelon II), Administrative Officers (Echelon II and III), and Supervisors (Echelon IV), bringing the population to 566 people. The analysis technique used SEM, which was run with Amos v.24 software. The results showed (1). Professional challenges positively and significantly affect individual learning and knowledge sharing (3). Personal values have no significant effect on individual learning but positively and substantially impact knowledge sharing (5). The value of work has a positive and significant impact on individual learning and knowledge sharing (7). Work culture has a positive and significant effect on individual learning and knowledge sharing (9). Career development has no significant impact on individual learning but positively and significantly impacts knowledge sharing (11). Personal education and knowledge sharing ultimately and significantly affect professionalism (13). Individual learning mediates the effect of professional challenges on professionalism but does not mediate the impact of personal values on professionalism (15). Individual learning mediates the effects of work values and work culture on professionalism but does not mediate the effect of career development on professionalism (18). Knowledge sharing mediates the effect of professional challenges, personal values, work values, work culture, and career development on professionalism.