Fit For Use Research Articles

The importance of loss functions: A note on the evolution of the Toxicity Probability Interval design

The Toxicity Probability Interval Design by Ji et al. (2007), which was subsequently modified by the mTPI (Ji et al., 2010), proposed a more efficient approach to early-phase dose-finding than conventional designs like 3 + 3. Subsequent authors reported issues with the method, finding that it tends to stay at a dose level when clinical intuition would suggest the toxicity level warrants decrease. Several iterations of refinement proceeded in an effort to address these issues, including the mTPI-2 and the keyboard method, as well as alternative approaches such as the BOIN. This author suggests the reason for these safety issues involves the underlying loss function. The TPI and mTPI used the identify function defined over wide intervals. As explained in this paper, this function and its domain can be problematic as a model of patients’ loss experience. Later refinements moved the loss function closer to one more consistent with clinical intuition, and this explains their improved safety performance. Greater attention to quality as defined by fitness for use, including early evaluation of patient-experience and clinical-intuition implications of proposed loss functions, may improve future design efforts.

Asignación de modelos de mantenimiento basada en la criticidad y disponibilidad del equipo

INTRODUCCIÓN. El análisis de criticidad mediante una matriz de criterios permite establecer la jerarquía de equipos de una planta, mientras que, el cálculo del indicador de disponibilidad muestra el porcentaje de tiempo durante el cual un equipo se encuentra apto para su uso y operativo. OBJETIVO. Desarrollar una herramienta en Excel utilizando criterios de disponibilidad y criticidad de los equipos para la asignación de modelos de mantenimiento. MÉTODO. Esta investigación es de carácter mixto, cualitativa y cuantitativa, utilizando como herramienta el software “Microsoft Excel”, que se configura mediante funciones matemáticas y lógicas para determinar el modelo de mantenimiento. RESULTADOS. Como resultado y aplicación de esta investigación se obtuvo una disponibilidad del 95.51% en el equipo, considerando cada variable para su cálculo. DISCUSIÓN Y CONCLUSIONES. Con este proyecto se demuestra que es posible gestionar el mantenimiento utilizando herramientas de bajo costo como Excel. La herramienta desarrollada en esta investigación significa un aporte sustancial en el proceso de mejora continua y gestión integral del mantenimiento.

ANALISA KALIBRASI PADA ALAT CPAP (Continuous Positive Airways Pressure)

CPAP is an electromedical device used to provide breathing aids. Especially in babies who have difficulty breathing or have sleep apnea. The aim of this research is to study the calibration techniques and uncertainty calculations on the CPAP tool. The results obtained from the calibration and calculations to find out the average value, so that these results are stated that the CPAP is fit for use.

The impact of perceived accounting benefits on the enterprise resource planning success: The mediating role of effective system use

In the past decades, enterprise resource planning (ERP) systems have becomeincreasingly automated, particularly for routine management accounting tasks. However, therehas been little research investigating the accounting benefits of adopting ERP systems. Thisstudy investigates the role of perceived accounting benefits in ERP success. Drawing on Juran’sprinciple of ‘fitness for use,’ this study establishes a framework that captures how perceivedaccounting benefits influence effective system use, which, in turn, enhances enterprise success.Using Partial Least Squares – Structural Equation Modelling (PLS-SEM) with survey datacollected from 120 enterprises in Vietnam that have implemented ERP, our findings providestrong support for the predicted positive effect of perceived accounting benefits on enterprisesuccess, and for the hypothesis that this relationship is fully mediated by effective system use.This study is novel for two reasons. First, it is one of the first attempts to provide empiricalevidence that effective system use and enterprise success are valuable outcomes of accountingbenefits perceived to be gained from the use of ERP systems. Second, it discovers anddemonstrates that effective system use is the most appropriate system-use concept in thepresent enterprise systems-related context, a topic that remains under discussion in theliterature.

Treatment of Contaminated Water Using Eco Friendly Material

In the existing situation, wastewater treatment is a challenging issue for living organism and biophysical environment. The polluted water sources posture a serious issue concerning the various health hazards they bring along. Renewable methods involving the use of ecofriendly and natural materials for pollutant removal from wastewaters can offer a satisfactory solution suitable well with the characterization of sustainability. A water purification process is designed to remove or reduce existing water contaminants to the point where the water is fit for use. The purification technologies used in this experiment will help to remove the contaminants and give clear appearance to water in addition to the improvement in its smell and taste. Due to low cost and local availability of the materials used, this method is easy and can be preferred by everyone. By using natural materials, it not only removes the contaminants it adds nutrients to the water also which is good for health. The material Strychnos potatorum, Zea mays, Chrysopogon zizanioides, Cuminum cyminum, activated charcoal, sand gravel helps to remove all the physical and chemical parameters from water and make the water drinkable.

Project Based Learning Model to Increase the Competency of Automotive Engineering Teachers Candidates

This study aims to produce a Project-Based Learning model for vocational education in practical learning in Automotive field courses. The product of this research is the PjBL learning model in the practical course of Vehicle Body Technology. In this research is carried out through the stages of preliminary studies, model development, model validation, and implementation. The research was conducted at the Automotive Workshop of the Automotive Engineering Department, FT-UNY. The subjects of this study were lecturers and students of the Automotive Engineering Department who took practical courses in Vehicle Body Technology. Model feasibility tests were carried out by practitioners from the body repair and painting industry and Vocational School teachers on the Automotive Body Engineering spectrum. This development research was conducted in February until July 2019. The product of this research is in the form of a PjBL model for vocational education in the automotive sector that has been assessed and declared fit for use as a learning model in the automotive field of vocational education. Student responses to the implementation of PjBL learning in the Vehicle Body Technology course are also very good so that this learning model is in the very feasible category.

Development of Augmented Reality Based Crawl Swimming Learning Module For Students of The UNU Blitar Sport Education Study Program

Swimming is a compulsory subject in the UNU Blitar Sports Education Study Program curriculum. Has a fairly high Semester Credit Unit (SKS) weight of 4 credits. The crawl style swimming is the basis of all styles so that it needs to be studied more deeply according to the era of the industrial revolution 4.0, namely with a touch of Augmented Reality (AR) technology. This study aims to develop a learning module for swimming crawl style which is integrated with Augmented Reality (AR). The method used by researchers is the Research and Development developed by Dick and Carey which consists of 10 steps. However, due to existing limitations, the researcher only carried out 9 steps. The module was validated by 3 experts, namely: media expert, learning expert, and swimming expert. The input from experts is used to complement the product. Subsequently carried out small group trials totaling 6 students while 30 students as large group trial subjects. The results obtained are: the criteria for product clarity obtained by a percentage of 91.17647% are very valid, the strategic criteria obtained by a percentage of 83.33% are quite valid, the evaluation criteria obtained by a presentation of 75% are quite valid. All criteria have met product eligibility. Product development of the module is declared valid enough and fit for use as a medium to maximize the learning process.

Millisecond Allosteric Dynamics of Activated Ras Reproduced with a Slowly Hydrolyzable GTP Analogue.

The millisecond timescale dynamics of activated Ras transiently sample a low-populated conformational state that has distinct surface property from the major state and represents a promising target for binding of small-molecule compounds. To avoid the complications of hydrolysis, dynamics and other properties of active Ras have so far been routinely investigated by using non-hydrolyzable GTP analogues, which, however, were previously reported to alter both the kinetics and distribution of the conformational exchange. In this study, we quantitatively measured and validated the internal dynamics of Ras complexed with a slowly hydrolyzable GTP analogue, GTPγS, which increases the lifetime of active Ras by 23 times relative to that of native GTP. It was found that GTPγS, in addition to its better mimicking of the exchange kinetics than the commonly used non-hydrolyzable analogues GppNHp and GppCH2 p, can rigorously reproduce the natural dynamics network in active Ras, thus indicating its fitness for use in the development of allosteric inhibitors.

Fitness for Use of Data Objects Described with Quality Maturity Matrix at Different Phases of Data Production

Fitness for use information should be stored to enable easy identification of data objects that are suitable for re-use – a feature which can only be assessed by the data user. With the described Quality Maturity Matrix (QMM), we want to provide a metric for a discrete measurement of the fitness for use of data objects. We use the data maturity to describe the degree of formalization and standardization of the data with respect to the quality of data and metadata. The data objects mature as they pass through the different post-production steps where they undergo different curation measures. The higher the maturity and the level in the QMM, the easier is it for the user to judge the appropriateness of the data for a possible re-use. For our development of the Quality Maturity Matrix we link the maturity levels to the five phases concept, production/processing, project collaboration/intended use, long-term archiving, and impact re-use. Each of the five levels is measured with regard to the four criteria consistency, completeness, accessibility, and accuracy. For the description we use the terms of the Open Archival Information System (OAIS). We relate our data focused QMM to some existing maturity matrices which put the focus on the maturity of the curation process rather than of the data objects themselves. In addition, we make an attempt to establish a connection between the QMM criteria of data assessment and the FAIR Data principles.

Connecting Semantic Situation Descriptions with Data Quality Evaluations—Towards a Framework of Automatic Thematic Map Evaluation

A continuing question in the geospatial community is the evaluation of fitness for use of map data for a variety of use cases. While data quality metrics and dimensions have been discussed broadly in the geospatial community and have been modelled in semantic web vocabularies, an ontological connection between use cases and data quality expressions allowing reasoning approaches to determine the fitness for use of semantic web map data has not yet been approached. This publication introduces such an ontological model to represent and link situations with geospatial data quality metrics to evaluate thematic map contents. The ontology model constitutes the data storage element of a framework for use case based data quality assurance, which creates suggestions for data quality evaluations which are verified and improved upon by end-users. So-created requirement profiles are associated and shared to semantic web concepts and therefore contribute to a pool of linked data describing situation-based data quality assessments, which may be used by a variety of applications. The framework is tested using two test scenarios which are evaluated and discussed in a wider context.

Development Of Pocket Tennis Field Course

Service is one of the materials studied in theoretical and practical course of tennis in the physical education study program, health and recreation, IKIP Budi Utomo Malang. To be able to master the theory and practice of servicing, teaching materials they are needed. The main obstacle for students that is still difficult to practice tennis service. Providing a pocket book is a solution can be done and easy to learn, under everywhere. The pocket book was developed with the Hannafin and Peck development model, which consists of 3 stages, namely (1) Need Assessment (Needs Analysis Phase), (2) Design (Design Phase), and (3) Develop / Implement (Development and Implementation Phase) , This development model is a product-oriented learning design model. The data obtained begins with needs analysis, product design, product manufacturing, and product validation. The instrument used to collect development research data used questionnaires and interview guides. Data were analyzed descriptively. Based on the results of the analysis, shows that structured teaching materials have met eligibility requirements. The validity level of the material content experts obtained results of 92% (very valid), Language obtained results of 96.7% (Very Valid), Media obtained results of 90.5% (very valid), and individual trials obtained results with results , 94.5% (Very Valid) and fit for use.

Questioning the legitimacy of data

This paper is based upon the closing keynote presentation that was given by danah boyd at the inaugural NISO Plus conference held from February 23–25, 2020 in Baltimore, MD (USA). It focuses on how data are used, and how they can be manipulated to meet specific objectives – both good and bad. The paper reinforces the importance of understanding the biases and limitations of any data set. Topics covered include data quality, data voids, data infrastructures, alternative facts, and agnotology. The paper stresses that data become legitimate because we collectively believe that those data are sound, valid, and fit for use. This not only means that there is power in collecting and disseminating data, but also that there is power in interpreting and manipulating the data. The struggle over data’s legitimacy says more about our society – and our values – than it says about the data itself.

The Development of Authentic Assessment Instruments on Anecdotal Text Material for Class X Students of SMK Yapim Indrapura, Batu Bara Regency

The learning process and assessment instruments provided do not cover three authentic domains in the 2013 curriculum. This study aims to describe the process of developing an authentic text assessment tool to describe the process of developing authentic assessment instruments on anecdotal text material for class X students of SMK Yapim Indrapura, Batubara Regency; describe how the appropriateness of authentic assessment instruments on anecdotal text material; and describe how effective authentic assessment instruments are on anecdotal text material. This study refers to the Borg & Gall development model. The results showed that: (1) development of authentic assessment instruments on anecdotal text material based on research and preliminary information collection, planning, initial product development, design validation and evaluation, product revisions, assessments and suggestions of language teachers and students, revisions, individual trials, revisions, small group trials, revisions, limited field trials, revisions until the product is valid and fit for use; and (2) the average percentage of all sub-components from the results of the material expert validation is87%with "very good" criteria. The average percentage of all indicators from the results of expert evaluation validation for the multiple choice form instrument is90.63%; for the description instrument is89.54%; and for psychomotor instruments is90%. All evaluation expert assessments are at criteria of "very good". The teacher response results have an average total percentage96% with "very good" criteria. The results of student responses are declared feasible and meet needs, the total percentage is average 91.6% with the overall criteria of "very good".

Total Error and Variability Measures for the Quarterly Workforce Indicators and LEHD Origin-Destination Employment Statistics in Onthemap

Abstract We report results from the first comprehensive total quality evaluation of five major indicators in the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD) Program Quarterly Workforce Indicators (QWI): total flow-employment, beginning-of-quarter employment, full-quarter employment, average monthly earnings of full-quarter employees, and total quarterly payroll. Beginning-of-quarter employment is also the main tabulation variable in the LEHD Origin-Destination Employment Statistics (LODES) workplace reports as displayed in OnTheMap (OTM), including OTM for Emergency Management. We account for errors due to coverage; record-level non-response; edit and imputation of item missing data; and statistical disclosure limitation. The analysis reveals that the five publication variables under study are estimated very accurately for tabulations involving at least 10 jobs. Tabulations involving three to nine jobs are a transition zone, where cells may be fit for use with caution. Tabulations involving one or two jobs, which are generally suppressed on fitness-for-use criteria in the QWI and synthesized in LODES, have substantial total variability but can still be used to estimate statistics for untabulated aggregates as long as the job count in the aggregate is more than 10.

A survey of biodiversity informatics: Concepts, practices, and challenges

AbstractThe unprecedented size of the human population, along with its associated economic activities, has an ever‐increasing impact on global environments. Across the world, countries are concerned about the growing resource consumption and the capacity of ecosystems to provide resources. To effectively conserve biodiversity, it is essential to make indicators and knowledge openly available to decision‐makers in ways that they can effectively use them. The development and deployment of tools and techniques to generate these indicators require having access to trustworthy data from biological collections, field surveys and automated sensors, molecular data, and historic academic literature. The transformation of these raw data into synthesized information that is fit for use requires going through many refinement steps. The methodologies and techniques applied to manage and analyze these data constitute an area usually called biodiversity informatics. Biodiversity data follow a life cycle consisting of planning, collection, certification, description, preservation, discovery, integration, and analysis. Researchers, whether producers or consumers of biodiversity data, will likely perform activities related to at least one of these steps. This article explores each stage of the life cycle of biodiversity data, discussing its methodologies, tools, and challenges.This article is categorized under: Algorithmic Development > Biological Data Mining

Lembar kerja siswa matematika berbasis etnomatematika setting historical K.H Ahmad Dahlan di sekolah dasar

The purpose of this study was to produce Student Worksheets (LKS) with K.H Ahmad Dahlan historical settings for fourth-grade students at SD and declared fit for use. The development model used in this research is the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) development model. Data collection techniques in this study were carried out by documentation, interviews, and questionnaires. The instruments used in this study were validation sheets for material experts, media experts, cultural experts, and practicality sheets for teachers. The results showed that the developed worksheets the valid criteria with a score of 3.57. The effectiveness criteria cannot be measured because of the covid 19 virus which causes students to carry out learning online. Practicality criteria are also fulfilled and got a score of 3.93 with good criteria. Based on assessments by material experts, media experts, cultural experts and filling in practicality sheets by the teacher, the products developed are declared valid and practical.

Performance evaluation of all analytes on the epoc® Blood Analysis System for use in hospital surgical and intensive care units

ObjectiveTo evaluate the performance of the epoc hand-held analyzer against the RAPIDPoint 500 blood gas analyzer and laboratory analyzers where applicable. MethodsVenous or arterial whole blood samples collected in balanced heparinized syringes were obtained from 69 patients (35 females, 34 males) predominantly (77%) from the surgical unit and intensive care unit (ICU). Method comparison was performed for all analytes on the epoc System against the RAPIDPoint 500 Blood gas analyzer or laboratory analyzers where applicable. Results: Mean bias was <5% for blood gases, electrolytes, lactate and glucose. Hematocrit showed a bias of -6.76% (95% CI ​= ​-8.91, - 4.61) compared to the HemataSTAT-II method, whereas calculated total hemoglobin showed a bias of 1.51% (95% CI ​= ​-1.04, 4.06) against the Sysmex XN-10 hematology analyzer. Creatinine showed the largest bias relative to laboratory analyzers, Abbott Architect c8000 Jaffe method (13.54%, 95% CI ​= ​5.43, 21.65) and Roche Cobas c702 enzymatic method (30.01%, 95% CI ​= ​12.64, 47.38). Conclusions: The epoc system is fit for use in the surgical and ICU setting for the measurement of all analytes except for creatinine.

THE ABILITY TO WRITE A SUMMARY OF READING STUDENTS OF CLASS X-2 SMA NEGERI 1 TELUKDALAM KABUPATEN NIAS SELATAN

ABSTRACT&#x0D; The data collection tool used was a written test, namely making a summary of the story of the legend of Malin Kundang, with assessment criteria, namely point 2 length of the summary, main idea, explanatory idea, use of words and sentences according to the contents of the summary with the reading. before the indicator is determined as a means of collecting research data, it is first validated by the three Indonesian language study teachers in a triangulation manner until it is declared fit for use. After the legend manuscript was administered to the respondent, it was processed statistically; with the results as the interval 71-85. Second, from the results of observations of the level of ability obtained information: 1) a description of student learning outcomes in learning obtained data, namely: students who have a high level of ability are 16 people or 40.504%, students who have a moderate level of ability are 9 people or 24.32%, students who have a low level of ability are 13 people or 34.14%. 2) a description of student learning outcomes for each item of question is obtained: for item 1 (ability level 36 people, and medium ability level 1 person), for item 2 (high ability level 22 people, medium ability level 7 people, low ability level 8 people ), for icon 3 (high ability level 24 people, medium ability level 5 people, low ability level 8 people), for item 4 (high ability level 25 people, medium ability level 6 people, medium ability level 7 people, low ability level 28 people) based on the description above, it can be concluded that the students' ability to write a narrative paragraph framework is classified as moderate. This statement is stated as moderate because of the variation in the abilities of students where there are good performers and some are low. So that to determine it, take the middle way, namely moderate.

Using human factors engineering and Garvin’s product quality to develop a basketball shoe taxonomy

Garvin’s seminal work “What Does ‘Product Quality’ Really Mean?” defines product quality based on five approaches: transcendent, product-based, user-based, manufacturing-based, and value-based. In addition to presenting five definitions of product quality, Garvin presents eight dimensions of product quality: performance, features, reliability, conformance, durability, serviceability, aesthetics, and perceived quality. The purpose of this research is to present a taxonomy for establishing product quality metrics for basketball shoes based on Garvin’s eight dimensions and the user-based definition of product quality. There is no clear explanation for what constitutes a properly fitted and usable basketball shoe. Constructing a multi-dimensional basketball shoe quality taxonomy, as presented in this paper, captures relationships between features and user needs to improve the fitness for use in basketball shoes beyond commonly-used marketing jargon. Several contextual relationships of basketball are identified and associated with the requirements of basketball players, thereby resulting in a basketball shoe quality taxonomy that defines the relationships of shoe features to user preference. This taxonomy can be used to derive what product quality means to the basketball athlete and thus improve the decision-making process for the basketball shoe wearer and coaching staff.

Computed tomography-derived body composition analysis in patients with advanced cancer: clinical utility and future research.

With weight loss increasingly occurring against a background of obesity across a variety of advanced cancers, there has been increasing interest in computed tomography (CT)-derived body composition analysis. Various imaging software packages and thresholds are commonly in use in CT-derived body composition analysis. This review discusses the current research in field of body composition with emphasis on the information required for such measurements to be taken into routine clinical practice. CT is widely used for tumour staging in patients with cancer. Over the last decade, this imaging modality has been exploited to make measurements of body composition. Using a common landmark (L3) several different thresholds have been developed to stratify adipose and muscle tissue areas according to age, sex and BMI and their relationship with survival. A significant relationship between CT-derived body composition and clinical outcomes has been shown in different tumour types and geographical locations. However, there is considerable variation with methods, thresholds and muscle groups used for analysis. Therefore, there would appear to be a need to develop reliable methodology and population-specific reference ranges to guide clinical interpretation and enable routine clinical use. There has been an explosion of clinical research interest in CT-derived body composition analysis. Such body composition analysis provides important host phenotype information which has prognostic value. For CT-derived body composition to be fit for use in routine clinical practice, there is need for universally accepted terminology, software, muscle group selection, prognostic thresholds to standardize such body composition analysis.