nils-herrmann/clean_scirepeval huggingface dataset:
Career Choice Of Students Of Library And Information Science In Tertiary Institution In Imo State, Nigeria
Year: 2009

Library and Information Science is not a top rank choice of course by candidates seeking admission into tertiary institutions in Imo State. Most of those who eventually get enrolled for the programme are not interested in practicing librarianship upon graduation. They prefer careers in other establishments even if they are to perform non professional duties. Using a three part questionnaire, this study sought reponses on career choice from trainee librarians. Sixty (60) copies of the instrument were distributed, completed and returned, representing 100% response rate. Survey results indicated that respondents are ignorant of a librarian's job schedule, prefer jobs in other areas and are not willing to make careers out of librarianship. Recommendations are made for re tooling and retention of both trainee and practicing librarians in the profession.
Dynamic tomographic studies of interscapular feline injection site sarcoma: essential or useless practice?
Venue: Journal of feline medicine and surgery
Year: 2018

Feline injection site sarcomas (FISSs) are soft tissue tumours typically characterised by an interscapular location and highly infiltrative behaviour. CT is considered the modality of choice for FISS staging and double positioning (dynamic approach) was reported to successfully detect the exact extent of infiltration into the muscles. The aim of the present study was to investigate the utility of the dynamic approach in feline patients referred for preoperative staging of interscapular FISS.  Tumour volume estimates were compared between the ellipsoid and the semi automated segmentation methods. Two radiologists blinded to the patient coding used images from each position to assess the extent of muscular infiltration. The distance between the neoplasm and the adjacent skeletal structures (scapulae, spinous processes) was recorded in both positions by a single radiologist.  Fifty nine of 84 neoplasms invaded the adjacent muscular structures, with up to 15 muscles infiltrated. Between the extended and flexed position the average estimated numbers of muscles infiltrated were 1.9 (extended) and 1.84 (flexed) for observer A and 1.89 (extended) and 1.85 (flexed) for observer B. Good agreement between observers was established, with higher tumour volumes detected via the ellipsoid method. Moreover, tumours with smaller volumes showed slightly decreased muscular infiltration. Marked difference in the recorded distance between the skeletal structures and the neoplasm in the two different positions was established (mean SD difference spinous processes: 9.74 9.57 mm; mean SD difference scapulae: 15.15 11.76 mm)  A dynamic approach should be used for a complete evaluation of the invasiveness of FISS along with appropriate methodology for tumour volume measurement, which could potentially alter the tomographic estimation of the real dimension of the neoplasms.
Communicating laboratory results to patients and families
Venue: Clinical chemistry and laboratory medicine
Year: 2019

People are increasingly able to access their laboratory results via patient portals. The potential benefits provided by such access, such as reductions in patient burden and improvements in patient satisfaction, disease management, and medical decision making, also come with potentially valid concerns about such results causing confusion or anxiety among patients. However, it is possible to clearly convey the meaning of results and, when needed, indicate required action by designing systems to present laboratory results adapted to the people who will use them. Systems should support people in converting the potentially meaningless data of results into meaningful information and actionable knowledge. We offer 10 recommendations toward this goal: (1) whenever possible, provide a clear takeaway message for each result. (2) Signal whether differences are meaningful or not. (3) When feasible, provide thresholds for concern and action. (4) Individualize the frame of reference by allowing custom reference ranges. (5) Ensure the system is accessible. (6) Provide conversion tools along with results. (7) Design in collaboration with users. (8) Design for both new and experienced users. (9) Make it easy for people use the data as they wish.  Collaborate with experts from relevant fields. Using these 10 methods and strategies renders access to laboratory results into meaningful and actionable communication. In this way, laboratories and medical systems can support patients and families in understanding and using their laboratory results to manage their health.
Comparative Analysis of Machine learning Algorithms using NLP Techniques in Automatic Detection of Fake News on Social Media Platforms
Year: 2019

Widening popularity of social media platforms and the increasing number of users trigger the spreading of fake news that creates chaos and tension in people's peaceful life. It is a vital interest to detect fake news, which has enormous potential to disrupts people's healthy growth. Traditional non machine learning detection approaches like linguistic, network, and user profile analysis was deficient for dynamic and sophisticated social media network. Those conventional methods involved humans who are prone to make errors and take a lot of time. This research addresses this limitation using Natural Language Processing Techniques, along with machine learning algorithms. Our proposed system aims to detect fake news accurately, efficiently earlier, and with low false positive rates. The first phase of the methodology involves cleaning the noises in the dataset and pre processing to convert them into a Document term matrix format. Literature reviews gave a spotlight on a few best performing machine learning algorithms. Such algorithms are Decision tree, Random forest, AdaBoost, XGBoost and, LightGBM, which are well known models for accurate and efficient text classification. The second phase of the research involved the evaluation of classification model in terms evaluation metrics such as accuracy, precision, recall rate, f1score, and AUC. LightGBM with the bag of word technique performed magnificently with 96.3% of AUC and 93.1% accuracy rate. Lastly, an API was designed with the LightGBM model and deployed to achieve our goal of accurate detection with a low false positive rate.
ARSA: a sentiment aware model for predicting sales performance using blogs
Venue: SIGIR
Year: 2007

Due to its high popularity, Weblogs (or blogs in short) present a wealth of information that can be very helpful in assessing the general public's sentiments and opinions. In this paper, we study the problem of mining sentiment information from blogs and investigate ways to use such information for predicting product sales performance. Based on an analysis of the complex nature of sentiments, we propose Sentiment PLSA (S PLSA) in which a blog entry is viewed as a document generated by a number of hidden sentiment factors. Training an S PLSA model on the blog data enables us to obtain a succinct summary of the sentiment information embedded in the blogs. We then present ARSA, an autoregressive sentiment aware model, to utilize the sentiment information captured by S PLSA for predicting product sales performance. Extensive experiments were conducted on a movie data set. We compare ARSA with alternative models that do not take into account the sentiment information, as well as a model with a different feature selection method. Experiments confirm the effectiveness and superiority of the proposed approach.
CD151 regulates expression of FGFR2 in breast cancer cells via PKC dependent pathways
Venue: Journal of Cell Science
Year: 2018

Expression of the tetraspanin CD151 is frequently upregulated in epithelial malignancies and correlates with poor prognosis. Here, we report that CD151 is involved in regulation of the expression of fibroblast growth factor receptor 2 (FGFR2) Depletion of CD151 in breast cancer cells resulted in an increased level of FGFR2. Accordingly, an inverse correlation between CD151 and FGFR2 was observed in breast cancer tissues. CD151 dependent regulation of the FGFR2 expression relies on post transcriptional mechanisms involving HuR (also known as ELAVL1) a multifunctional RNA binding protein, and the assembly of processing bodies (P bodies) Depletion of CD151 correlated with inhibition of PKC, a well established downstream target of CD151. Accordingly, the levels of dialcylglycerol species were decreased in CD151 negative cells, and inhibition of PKC resulted in the increased expression of FGFR2. Whereas expression of FGFR2 itself did not correlate with any of the clinicopathological data, we found that FGFR2 /CD151+ patients were more likely to have developed lymph node metastasis. Conversely, FGFR2 /CD151 patients demonstrated better overall survival. These results illustrate functional interdependency between CD151 complexes and FGFR2, and suggest a previously unsuspected role of CD151 in breast tumorigenesis.  The cancer related tetraspanin protein CD151 uses novel pathways to mediate the regulation of FGFR2 expression.
Evaluation of Motor Coordination in Boys with High Functioning Pervasive Developmental Disorder Using the Japanese Version of the Developmental Coordination Disorder Questionnaire
Year: 2014

Children with high functioning pervasive developmental disorder (HFPDD) often have motor coordination dysfunction. However, there is no assessment tool for screening developmental coordination disorder (DCD) in Japan, which makes it difficult to evaluate the actual motor impairments of children with HFPDD. We evaluated the motor coordination function of 54 school age boys with HFPDD using the Japanese version of the Developmental Coordination Disorder Questionnaire (DCDQ J) We subsequently assessed the relationship between DCDQ J scores and the results of the Japanese version of the Autism Diagnostic Interview Revised (ADI R) of 48 boys. The total and subscale DCDQ J scores of the boys with HFPDD were significantly lower than the population means in the same grade: 37.0 were below 2 standard deviations for the total score, 38.9 for control during movement, 26.0 for fine motor/handwriting, and 37.0 for general coordination. Furthermore, the scores of Qualitative Abnormalities in Communication in the ADI R were negatively correlated with control during movement, fine motor/handwriting, and total scores in the DCDQ J. This study is the first to show Japanese children with HFPDD frequently exhibit considerably poor motor coordination according to the DCDQ J. The screening or assessment of motor dysfunction in HFPDD using assessment tools such as the DCDQ could aid the development of interventions for these underestimated problems in Japan.
Acceleration of the NVT flash calculation for multicomponent mixtures using deep neural network models
Venue: Industrial Engineering Chemistry Research
Year: 2019

Phase equilibrium calculation, also known as flash calculation, has been extensively applied in petroleum engineering, not only as a standalone application for a separation process but also as an integral component of compositional reservoir simulation. Previous research devoted numerous efforts to improve the accuracy of phase equilibrium calculations, which place more importance on safety than speed. However, the equation of state based flash calculation consumes an enormous amount of computational time in compositional simulation and thus becomes a bottleneck to the broad application of compositional simulators. Therefore, it is of vital importance to accelerate flash calculation without much compromise in accuracy and reliability, turning it into an active research topic in the past two decades. With the rapid development of computational techniques, machine learning brings another wave of technology innovation. As a subfield of machine learning, the deep neural network becomes a promising computation.
Doctor of Physical Therapy (DPT)
Year: 2011

The Doctor of Physical Therapy (DPT) program at Quinnipiac prepares students to be outstanding clinicians equipped for contemporary practice through a three year, 12 month graduate program. Students develop the essential skills of a 21st century health care professional by having access to expert academic and clinical faculty and the benefit of learning in state of the art facilities. The program is an integrated curriculum of foundational knowledge and clinical training and is located in the Center for Medicine, Nursing and Health Sciences. Students learn the foundation of movement science through full body dissection in the Human Anatomy Lab and application in the Motion Analysis Lab. The learning environment for clinical skills, clinical decision making and professionalism is supported in classrooms, well equipped laboratories, and progressive technology. Students can practice and are assessed on skills utilizing simulation, standardized patients and clinical readiness practicums. The program integrates frequent client based opportunities throughout the curriculum in addition to three full time clinical experiences completed at various domestic or international clinical sites. Although the goal of the program is to prepare entry level physical therapists, faculty value establishing close mentoring relationships through in depth research or innovative projects that allow students to grow intellectually and professionally.
Protein engineers turned evolutionists the quest for the optimal starting point.
Venue: Current opinion in biotechnology
Year: 2019

The advent of laboratory directed evolution yielded a fruitful crosstalk between the disciplines of molecular evolution and bio engineering. Here, we outline recent developments in both disciplines with respect to how one can identify the best starting points for directed evolution, such that highly efficient and robust tailor made enzymes can be obtained with minimal optimization. Directed evolution studies have highlighted essential features of engineer able enzymes: highly stable, mutationally robust enzymes with the capacity to accept a broad range of substrates. Robust, evolvable enzymes can be inferred from the natural sequence record. Broad substrate spectrum relates to conformational plasticity and can also be predicted by phylogenetic analyses and/or by computational design. Overall, an increasingly powerful toolkit is becoming available for identifying optimal starting points including network analyses of enzyme superfamilies and other bioinformatics methods.
Modern Technologies of Medical Rehabilitation of Upper Limb Injury in Children
Year: 2020

the relevance of the problem of children with upper limb trauma medical rehabilitation is determined by the high frequency elbow joint fractures; the risk of complications development, disabilityc of the patient. A comprehensive medical rehabilitation program assumes a personalized approach and a differentiated prescription of physical factors, depending on the time period of rehabilitation. Early physical rehabilitation is a key link in the complete recovery of the function of a patient's limb with damage to the elbow joint. The purpose of this work is to analyze literature and summarize the results of our own research to determine the optimal approaches and methods for medical rehabilitation of children with upper limb injury. the medical rehabilitation program includes various methods of kinesiotherapy, robotic mechanotherapy, massage, a wide range of apparatus physiotherapy to improve the trophism of the periarticular tissues, to maintain mobility in joints free from immobilization; gain of the full range of motion in the damaged joint; normalizing tone and strengthening the muscles of the upper limb. Medical rehabilitation of children with elbow joint injury is carried out from the earliest stage, in stationary conditions, during the period of immobilization. the rehabilitation measures continue in outpatient and polyclinic conditions, during the entire period of immobilization (2 4 weeks) and then in the post immobilization period until the limb function is fully restored. It is necessary to monitor the main indicators of the function of the upper limb during the entire period of rehabilitation to assess the effectiveness of rehabilitation measures, objectify the course of the rehabilitation process and the continuity of rehabilitation programs. Definition of the tasks of medical rehabilitation, differentiated for each stage; the choice of modern, pathogenetically grounded rehabilitation technologies with an assessment of their effectiveness contribute to a significant increase in the effectiveness of comprehensive rehabilitation programs for children with upper limb trauma.
Knowledge Based, Central Nervous System (CNS) Lead Selection and Lead Optimization for CNS Drug Discovery
Venue: ACS chemical neuroscience
Year: 2012

The central nervous system (CNS) is the major area that is affected by aging. Alzheimer's disease (AD) Parkinson's disease (PD) brain cancer, and stroke are the CNS diseases that will cost trillions of dollars for their treatment. Achievement of appropriate blood brain barrier (BBB) penetration is often considered a significant hurdle in the CNS drug discovery process. On the other hand, BBB penetration may be a liability for many of the non CNS drug targets, and a clear understanding of the physicochemical and structural differences between CNS and non CNS drugs may assist both research areas. Because of the numerous and challenging issues in CNS drug discovery and the low success rates, pharmaceutical companies are beginning to deprioritize their drug discovery efforts in the CNS arena. Prompted by these challenges and to aid in the design of high quality, efficacious CNS compounds, we analyzed the physicochemical property and the chemical structural profiles of 317 CNS and 626 non CNS oral drugs. The conclusions derived provide an ideal property profile for lead selection and the property modification strategy during the lead optimization process. A list of substructural units that may be useful for CNS drug design was also provided here. A classification tree was also developed to differentiate between CNS drugs and non CNS oral drugs. The combined analysis provided the following guidelines for designing high quality CNS drugs: (i) topological molecular polar surface area of <76 A2 (25 60 A2) (ii) at least one (one or two, including one aliphatic amine) nitrogen, (iii) fewer than seven (two to four) linear chains outside of rings, (iv) fewer than three (zero or one) polar hydrogen atoms, (v) volume of 740 970 A3, (vi) solvent accessible surface area of 460 580 A2, and (vii) positive QikProp parameter CNS. The ranges within parentheses may be used during lead optimization. One violation to this proposed profile may be acceptable. The chemoinformatics approaches for graphically analyzing multiple properties efficiently are presented.
A Hybrid of Round Robin and Shortest Job First CPU Scheduling Algorithm for Minimizing Average Waiting Time
Venue: 2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)
Year: 2018

One of the important role played by CPU is process management. The CPU scheduling algorithms are essential for the performance of the system. The CPU utilization is maximized by the CPU scheduling algorithms. The algorithms used for scheduling CPU help in reducing the context switching, turnaround time, response time ,average waiting time. First Come First Serve, Round Robin, Shortest Job First and Priority Scheduling are some useful algorithms for scheduling CPU. The systems based on time sharing uses Round Robin CPU scheduling algorithm. This paper presents an algorithm which is hybrid of both Round Robin Algorithm and Shortest Job First(SJF) Algorithm in which the burst time of shortest job is used as the time quantum. The modified algorithm is proven useful than the conventional Round Robin. The hybrid of Round Robin and SJF algorithms have minimized the turnaround time and average waiting time to enhance CPU performance.
IDENTIFIKASI BAKTERI STAPHYLOCOCCUS AUREUS PADA PREPUTIUM DAN VAGINA KUDA (EQUUS CABALLUS)
Year: 2015

Penelitian ini bertujuan mengidentifikasi bakteri Staphylococcus aureus pada preputium dan vagina kuda. Sebanyak 10 sampel kuda yang terdiri dari 5 swab preputium dan 5 swab vagina berumur 3 9 tahun yang berada di Desa Belang Bebangka, Gelelungi, Reloop dan Kelapeng Kecamatan Pegasing Kabupaten Aceh Tengah. Swab preputium dan vagina kuda dicelupkan ke dalam tabung reaksi yang berisi Nutrient Broth (NB) S. aureus diidentifikasi pada media Manitol Salt Agar (MSA) Koloni terpisah yang berwarna kuning cerah pada media tersebut diuji pewarnaan Gram, hemolisis, katalase dan uji gula gula (manitol dan glukosa) Hasil menunjukan bahwa isolat yang tumbuh pada MSA adalah koloni berwarna kuning cerah, bersifat Gram positif, b hemolisis, katalase positif. Isolat tersebut memfermentasi manitol dan glukosa. Isolat yang diidentifikasi dari preputium dan vagina kuda menunjukkan karakter dari S. aureus. Kami menyimpulkan bahwa bakteri S. aureus positif teridentifikasi disemua swab sampel pada preputium dan vagina kuda.
The Influence Of Job Satisfaction, Motivation, And Organizational Commitment To Employee Performance
Year: 2018

this study aims to investigate the relationship between the variables of job satisfaction, motivation, and organizational commitment to employee performance. Quantitative descriptive study with explanatory research design. The population in this study is the total number of employees in STIE Mandala Jember both fixed and non permanent employees which amounted to 90. Samples taken are of 55 respondents and the back and analyzed by 50, by using simple random sampling technique. The analytical tool used is multiple linear regression. The results showed that job satisfaction, motivation and organizational commitment simultaneous influence to employee performance, than partially job satisfaction no significant influence on employee performance, and the other variable motivation and organizational commitment has significant.
Biofuel production through micro and macroalgae pyrolysis A review of pyrolysis methods and process parameters
Venue: Journal of Analytical and Applied Pyrolysis
Year: 2019

Bio fuels derived from biomass with zero net CO2 emission seem to be a promising alternative for fossil fuels. Algal biomasses are promising sources of lipids, proteins and carbohydrates which can convert them into energy in the different forms of fuel depend on the type of conversion process. Transesterification, anaerobic digestion, fermentation, thermochemical conversion, and biophotolysis can convert algal biomass into biodiesel, bio methane, bioethanol, bio oil and hydrogen biofuels respectively. Among developed pathways for producing biofuel from algal biomass, thermochemical conversion especially pyrolysis is one of the most studied and discussed techniques in recent years. The yield and quality of pyrolysis products strongly depend on the process parameters such as temperature, heating rate, catalyst, etc. The aim of this article is to present a review of bio fuel production from algal biomasses (micro and macroalgae) through pyrolysis processes. After an overview of the algae characteristics and their potential as a source of biofuel production, we focus on the pyrolysis process for algal biomass conversion to biofuel in terms of various types of pyrolysis, affecting parameters on algae pyrolysis products, and the economical challenges and opportunities for commercial algal biofuel production through pyrolysis. It was found that pyrolysis processes are potential routes to convert algal biomass to solid, liquid and gaseous biofuels and they can be a good substitute of the unsustainable fossil fuels to meet the growing global energy demand. Additionally, despite the extensive research on pyrolysis of algal biomass which can provide promising information for use in commercial applications, the producing algal biofuel from pyrolysis is not commercially feasible yet and needs to more in depth studies.