Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study on the Sodium and Potassium Intakes and Their Metabolism of University Students in Korea

The purpose of this study was to estimate the sodium and potassium intakes of university students in Korea and to evaluate the relationship between blood pressure and related variables. Two hundred and eighty five subjects were selected from among healthy university students aged 17 to 28. The urinary (sodium, potassium urea nitrogen and creatinine) excretions in 24 hrs. were evaluated from the analysis of urine samples gathered for 12hrs. At the same time, dietary intakes of sodium and potassium were assessed by the modified convenient method with the same subjects. The results were as follows : 1) The urinary sodium excretions of male and female students in 24hrs. were estimated at 199.1mEq and 174.5mEq respectively. Daily sodium intakes by the questionnaire were calculated to be 218.5mEq for male students and 218.1mEq for female students. 2) The urinary potassium excretions in male and female students were 48.3mEq/24hr and 43.9mEq/24hr. respectively, and the potassium intakes 48.6mEq/24hr. and 47.4mEq/24h. each 3) No correlations were found between blood pressure and the urinary excretions of sodium potassium or urinary Na/K ratio in college students.
Enhancing Lecturer Competency of Malaysian Polytechnic Technical Lecturers: A Discrepancy Analysis

The purpose of this study was to identify the competencies needed by Malaysian polytechnic technical lecturers based on the level of importance of each competency. Using a discrepancy analysis, this study also aimed to identify the competencies that needed to be enhanced. Lecturer competency consists of professional competency and general competency (English language proficiency). The exploration on both competency dimensions was based on the level of importance, the level of knowledge and the level of performance of these competencies. Malaysian polytechnics need technical lecturers who possess the necessary competencies so that they are able to deliver quality education, as well as accommodate changes and innovation in education. Much research has been carried out to identify the competencies needed by technical instructors for successful teaching. Even though these competencies have been identified, research on their level of knowledge and performance was still very limited. Hence, there was a need to determine the competencies that could be enhanced by Malaysian polytechnic technical lecturers. Using a survey questionnaire, 401 technical lecturers from five Malaysian polytechnics participated in the study. The data collected were analyzed using descriptive statistics. A discrepancy analysis was also conducted to identify the competencies that could be enhanced through relevant professional development programmes. The results of this study supported much of the previous research in validating the competencies needed by technical lecturers. The results also revealed that although polytechnic technical lecturers perceived all the competencies to be important, the level of knowledge and the level of performance of these competencies were not on a par with the level of importance. The discrepancy analysis indicated that there were 12 professional competencies and six general competencies that needed to be enhanced. This study implies that lecturer competency of Malaysian polytechnic technical lecturers could be enhanced by minimizing the competency discrepancy through relevant professional development programmes. Future research should be carried out to plan and deliver such programmes to facilitate continuous professional development among Malaysian polytechnic technical lecturers.
Opinion Score Mining: An Algorithmic Approach

Opinions are used to express views and reviews are used to provide information about how a product is perceived. People contributions lie in posting text messages in the form their opinions and emotions which may be based on different topics such as movie, book, product, and politics and so on. The reviews available online can be available in thousands, so making the right decision to select a product becomes a very tedious task. Several research works has been proposed in the past but they were limited to certain issues discussed in this paper. The reviews are collected which periodically updates itself using crawler discussed in our previous work. Further after applying certain preprocessing tasks in order to filter reviews and remove unwanted tokens, the sentiments are classified according to the novel unsupervised algorithm proposed. Our algorithm does not require annotated training data and is adequate to sufficiently classify the raw text into each domain and it is applicable enough to categorize complex cases of reviews as well. Therefore, we propose a novel unsupervised algorithm for categorizing sentiments into positive, negative and neutral category. The accuracy of the designed algorithm is evaluated using the standard datasets like IRIS, MTCARS, and HAR.
Driving Regulation

Public comments submitted during agency rulemakings can provide rich insight into stakeholders’ viewpoints around contentious political issues but have been largely untapped as a data source by social scientists. This is in part due to the lack of access to comments in machine-readable formats and in part due to the difficulty in analyzing large corpora of textual data. However, new online repositories and analytic methodologies are beginning to open up this trove of data for researchers. Using data from the online portal regulations.gov, we employ probabilistic topic modeling to identify latent themes in a series of regulatory debates about electronic monitoring in the U.S. trucking industry. Our model suggests that different types of commenters use alternative discursive frames in talking about monitoring. Comments submitted by individuals were more likely to place the electronic monitoring debate in the context of broader logistical problems plaguing the industry, such as long wait times at shippers’ terminals, while organizational stakeholders were more likely than individuals to frame their comments in terms of technological standards and language suggesting cost / benefit quantification.
Interface agent for process plant operation-toward the next generation interface

Agent technology has been illuminated these days in many fields including manufacturing. We describe the notion of an interface agent for process plant operation starting from task analysis of plant operation and generic characteristics of agency, then introduce an idea of case-based realization for an agent's perception and memory. Sensation of anomaly was built on top of a memory organization package that was developed by Schank et al. (1994) Clustering of plant states by version space enabled us to discriminate between a plant situation and another, and allowed operators to label them through teaching. A feasibility study using real data of a plant showed the competence of sensation for anomaly detection, and the demonstration on connecting to a plant simulator showed the usefulness of this cognitive interface agent in a malfunction scenario.
Advances In Network And Acoustic Echo Cancellation

Thank you for reading advances in network and acoustic echo cancellation. Maybe you have knowledge that, people have search hundreds times for their chosen books like this advances in network and acoustic echo cancellation, but end up in infectious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they are facing with some infectious virus inside their computer.
Surgical treatment of pancreatic endocrine tumors

Objective To get a better understanding of pancreatic endocrine tumors(PETs) so as to improve the level of their diagnosis and treatment. Methods The clinical data of seventy-eight cases of PETs, who were admitted to our department from 1968 to 2005, was retrospectively analyzed in this study. Results All the forty-nine cases of insulinoma were confirmed to be benign. Tumor enucleation was performed in 40 cases. Tumor enucleation and additional pancreas-jejunum Roux-en-Y anastomosis were performed in two cases. Seven patients received distal pancreatectomy. Four glucagonoma treated by palliative resection of the primary focus and partial liver metastasis. In twentyone patients with polypeptide tumor of the pancreas, eight cases were proved malignant. Sixteen cases received surgical resection and the rest have to give up resection, short of surgical condition. In addition, the surgical treatment was performed in one patient with malignant tumor of vasoactive intestinal peptide (VIP) and 3 patients with pancreatic carcinoid tumors. The good prognosis had been achieved in a major of cases after surgical treatment. Conclusions The best choice to treatment of pancreatic endocrine tumor is to resect mass completely. Pre-operative qualitative diagnosis should be emphasized. To insulinoma, localization diagnosis doesn't insist on if difficult and depend fully on traumatic diagnosis means. In operation the careful palpation always helps to find accurately the place of insulimoma. Other PETs often can be located by imaging examination. The surgical manners were decided by position and biological character of tumors. The symptoms could be relieved by palliative procedures. The prognosis of malignant endocrine tumors was further better than that of the pancreatic exocrine tumors.
Early Byzantine and Later Glass Lamps

The use of standing and hanging lamps of glass for illuminating churches and other buildings is referred to as a contemporary practice by several ancient authors writing in the 4th and following centuries A . D . 1 , and some mosaics of about the same date depict various types of lamps in use which seem to have been of glass 2 . Working from these indications i n Byzantine literature and contemporary art, Rohault de F l e u r y 3 , D i l l o n 4 , L a m m 5 and others have identified as lamps certain types of glass vessels of Byzantine date which have survived. These vessels are of various shapes, and were used for different types of lights: some as true lamps burning a wick, and some as candlesticks; some as single lights, and some as elements in a polycandelon or chandelier. Within the last few years two excavations have yielded results of such importance in connexion with this subject that the time seems ripe for a further consideration of the whole matter. I n the first place, the Universi ty of Michigan Near E a s t Expedition, working at K 6 m Aushim (the ancient Karanis ) in the F a y y u m since 1924, has unearthed, amongst many other fine specimens of La te Roman and E a r l y Byzantine glass-ware, examples of two shapes of vessel which were almost certainly used as lamps; and secondly, the Bri t i sh School of Archaeology in Jerusalem, in conjunction with Ya l e University, working on the Byzantine churches of Jerash in Transjordania in 1928-9, found numerous fragmentary specimens of glass vessels which also must have served such a purpose.
High-speed Parallel Mean Filter Algorithm Based on CUDA

A novel parallel algorithm on CUDA is proposed.According to characteristics of salt-and-pepper noise,one pixel to be processed is estimated at first to be a signal pixel or a noise pixel.The algorithm distinguishes signal pixels from noises and set a marked matrix.Secondly,signal density was calculated and the filter radius was obtained.Finally,the value of noise pixels is substituted by mean value of neighborhood.Experimental results show that the advantage of proposed algorithm is better than the serial algorithm on CPU.Meanwhile,the larger size of image is,the less time is on CUDA.The speed of the parallel algorithm is 300 times faster than that of the CPU-based implementation.
Comparison of extracted rules from multiple networks

Neural networks can be trained to provide solutions in application domains where clear roles which would allow symbolic solutions do not exist. Neural networks in these domains still suffer from a major disadvantage, in that there is no explanation for why a particular decision was made by the network. The authors have generalised on their previous work on generating explanations for trained back-propagation neural networks to extract rules. The authors have found that there is significant variation in the quality of rules extracted from networks which have not been tuned for the task, and that the neural network correctness on the test set is not well correlated with the often better correctness of the extracted rules on the test set.
Esquema de servicios para Televisión Digital Interactiva, basados en el protocolo REST-JSON

Con el proposito de ampliar el abanico de oportunidades para la educacion virtual y teniendo en cuenta: las caracteristicas de interactividad y amplio potencial de penetracion de la television ,asi como el auge de servicios de la Web 2.0 en redes sociales y comunidades en Internet, mediante las cuales los usuarios comparten y generan conocimiento alrededor de una tematica. Este articulo plantea un esquema para el despliegue de servicios creados bajo el concepto de la Web 2.0, tales como: Foros, Chat, Blogs; en entornos de Television digital interactiva – TDi, y presenta como resultado la implementacion de 2 servicios: el servicios de tablon y acceso a correo; el esquema y la implementacion estan basados en el uso protocolo de servicios web REST-JSON para el consumo y diseno de servicios. El presente trabajo esta enmarcado dentro del proyecto ST-CAV (Servicios de T-Learning para el soporte de Comunidades Academicas Virtuales - CAV), el cual pretende dar soporte a comunidades academicas virtuales en entornos de Television Digital Interactiva TDi.
SITRAL: an integrated telephony service over a local area network

The authors describe and examine the implementation of SITRAL (Servicio Integrado de Telefonia sobre Red de Area Local), a telephony service over an Ethernet local area network, integrating voice and data and providing both the call control procedures and the packetized voice channels on the nodes of the network for internal calls and access to the public network. The different elements of the voice-data nodes are explained. A brief taxonomy of alternative access methods for the voice packets is presented. A telephony service has been shown to be possible over a standard IEEE 802.3 network. Simulation results show that more than a hundred telephones can use the service simultaneously with a data load of 10%. <<ETX>>
SVS: Can the shared variable paradigm exist in massively parallel multiprocessor architectures?

During recent years there have been many efforts aimed towards the elimination of the gap between shared memory and message passing parallel computers. Many researchers have addressed the problem by implementing distributed shared memory (DSM) systems. In this paper, we present a new approach to DSM, focusing on shared variables. An approach like this can operate complementary to message passing environments, taking over the complicated task of process synchronisation, or it can act as an integrated, autonomous system of interprocess communication, if the use of the offered shared memory is not heavy. We investigate the viability and efficiency of such a system in a massively parallel environment where non-contention is difficult. SVS (Shared Variable System) is an implementation of this idea, in the form of a runtime library on a massively parallel Parsytec GCel 3/512. We present the philosophy, inner-structure and the user interface of SVS, along with the first experience with its use. <<ETX>>
Group detection in still images by F-formation modeling: A comparative study

Automatically detecting groups of conversing people has become a hot challenge, although a formal, widely-accepted definition of them is lacking. This gap can be filled by considering the social psychological notion of an F-formation as a loose geometric arrangement. In the literature, two main approaches followed this line, exploiting Hough voting [1] from one side and Graph Theory [2] on the other. This paper offers a thorough comparison of these two methods, highlighting the strengths and weaknesses of both in different real life scenarios. Our experiments demonstrate a deeper understanding of the problem by identifying the circumstances in which to adopt a particular method. Finally our study outlines what aspects of the problem are important to address for future improvements to this task.
Building An Ethics In Computing Website Using Peer Review

An Ethics in Computing Website covering almost 100 topics has been developed using peerreviewed student contributions. Students in the author's one-credit Ethics in Computing course select a topic to research from a list provided by the instructor, or propose a topic of their own choosing. Their contributions are then reviewed, and ultimately graded, by three other students taking the course. The best-reviewed pages are then incorporated into the Website. However, most of the work of maintaining the site is performed by a set of independent-study projects during the 10-week summer session. Each student chooses a set of topics, and completes one topic every two weeks. Each submission is subjected to two rounds of review, one round per week. Some of the topics are new; others are merely updates to existing pages. The amount of work required on each topic is ranked from 1 to 5, with 5 being the highest. Each student is expected to complete topics with a set total rank, usually about 15. In addition to researching topics, each student chooses one “special job,” such as improving the graphics, installing a search engine, or developing a set of style guidelines. The project can be supervised by graduate students, who undertake the responsibility of assigning work to students and integrating the work into the site. Benefits of the project include (i) giving the students an in-depth look at several different ethical issues, (ii) constructing a resource that has been used by instructors around the world, and (iii) providing a low-overhead mechanism for adding another course to the curriculum. This methodology should be applicable to courses involving professional issues in all areas of engineering.
Severity of PTSD Symptoms and Its Relationship with Severity of Alcohol-Related Problems in a Sample of Inpatients with Alcohol use Disorder

Objective: The aim of the present study was to evaluate the effect of post-traumatic stress disorder (PTSD) symptoms measured with the PTSD Checklist Civilian (PCL-C) version on the severity of alcohol-related problems while controlling for the effects of anxiety and depression in a sample of inpatients with alcohol use disorder (AUD). Method: Participants (n=190) were evaluated with the Beck Depression Inventory (BDI), the State-Trait Anxiety Inventory State Subscale (STAI-S), the PTSD Checklist Civilian (PCL-C) Version and the Michigan Alcohol Screening Test (MAST). Results: Although severity of the state of anxiety predicted the severity of alcohol-related problems in the first and depression in the second step of a linear regression model, when severity of PTSD symptoms was included in the analysis, it was the only independent variable that predicted the severity of alcohol-related problems while the state of anxiety and depression were no longer predictors. Conclusion: These findings suggest that the severity of PTSD symptoms is related to the severity of alcohol-related problems, independent from severity of state anxiety and depression among inpatients with AUD.
Using synthetic basis feature descriptor for motion estimation

Development of advanced driver assistance systems has become an important focus for automotive industry in recent years. Within this field, many computer vision–related functions require motion estimation. This article discusses the implementation of a newly developed SYnthetic BAsis (SYBA) feature descriptor for matching feature points to generate a sparse motion field for analysis. Two motion estimation examples using this sparse motion field are presented. One uses motion classification for monitoring vehicle motion to detect abrupt movement and to provide a rough estimate of the depth of the scene in front of the vehicle. The other one detects moving objects for vehicle surrounding monitoring to detect vehicles with movements that could potentially cause collisions. This algorithm detects vehicles that are speeding up from behind, slowing down in the front, changing lane, or passing. Four videos are used to evaluate these algorithms. Experimental results verify SYnthetic BAsis’ performance and the feasibility of using the resulting sparse motion field in embedded vision sensors for motion-based driver assistance systems.
The Effectiveness of Graphical Presentation for Information Extraction: A Cumulative Experimental Approach*

Three laboratory experiments were conducted to assess the relative strengths and weaknesses of bar, symbol, and line graphs for performing a variety of elementary information extraction tasks using two dependent variables, time and accuracy. The findings indicate that the degree of support provided by a particular graph format for a particular data extraction task depends on the matching of format and task in terms of their anchoring characteristics. Anchoring, in this context, refers to the phenomenon that specific and diverse parts of a graph are segmented by the reader to act as salient and relevant cues, or anchors, when different classes of information are to be extracted from the graph. A data extraction task has high x-value (y-value) anchoring if the x-axis (y-axis) component is represented in the question as either a given value or an unknown value. Conversely, a task has low x-value (y-value) anchoring if the x-axis (y-axis) component is not represented in the question as either a given value or as an unknown value. Data extraction accuracy was not significantly affected by presentation format. Bars provided the best time performance for data extraction tasks having high anchoring on both axes but were not appropriate for tasks having low anchoring on either the y axis or both the x and y axes. Line graphs tended to be worse in terms of time performance for tasks having high anchoring on both axes although they were as fast or better than other representations for tasks having low anchoring on both axes. Symbol plots appeared to possess anchoring characteristics associated with both bars and line graphs. Symbols (as with bars) tended to produce a time performance superior to that of line graphs for tasks having high anchoring on both axes; and (as with line graphs) symbols allowed faster results than bar graphs for tasks having low anchoring on either the y axis or both the x and y axes.