An Examination of the Quality of Television Infrared Observation Satellite (TIROS) Operational Vertical Sounder (TOVS) Extracted Wind and Temperature Data over Oklahoma Using the Computer-Assisted Artillery Meteorology BattleScale Forecast Model (CAAM BFM)

2000 ◽  
Author(s):  
Stephen F. Kirby
Keyword(s):  
Forecast Model ◽  
Temperature Data ◽  
Computer Assisted ◽  
Infrared Observation

Strategi Penyelenggaraan Diklat Dan Ujian Sertifikasi Keahlian Pengadaan Barang/ Jasa Pemerintah Di Lingkungan Pemerintah Kabupaten Magelang

2017 ◽  
Vol 24 (1) ◽  
pp. 87-106
Author(s):  
Wiharyanto Wiharyanto
Keyword(s):  
Education And Training ◽  
Test System ◽  
Civil Servants ◽  
Quality Of Education ◽  
Alternative Formulation ◽  
Computer Assisted ◽  
Certification Exams ◽  
The Government ◽  
And Training

The study aims to analyze about the low graduation and certification exam training participants of the procurement of goods / services of the government and its contributing factors, and formulate a strategy of education and training and skills certification exams procurement of goods / services of the government. Collecting data using the method of study documentation, interviews, and questionnaires. Is the official source of information on the structural and functional Regional Employment Board, as well as the participants of the training and skills certification exams procurement of goods / services of the government in Magelang regency government environment. Analysis using 4 quadrant SWOT analysis, to determine the issue or strategic factors in improving the quality of education and training and skills certification exams procurement of government goods / services within the Government of Magelang regency. The results show organizer position is in quadrant I, which is supporting the growth strategy, with 3 alternative formulation strategies that improve the quality of education and training and skills certification exams procurement of government goods / services, and conducts certification examination of the procurement of government goods / services with computer assisted test system (CAT). Based on the research recommendations formulated advice to the organizing committee, namely: of prospective participants of the training and skills certification exams procurement of goods / services the government should consider the motivation of civil servants, is examinees who have attended training in the same period of the year, the need for simulation procurement of goods / services significantly, an additional allocation of training time, giving sanction to civil servants who have not passed the exam, the provision of adequate classroom space with the number of participants of each class are proportional, as well as explore the evaluation of education and training and skills certification exams procurement of goods / services for Government of participants.

scholarly journals Valuing health-related quality of life among the Indian population: a protocol for the Development of an EQ-5D Value set for India using an Extended design (DEVINE) Study

BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e039517
Author(s):  
Gaurav Jyani ◽  
Shankar Prinja ◽  
Sitanshu Sekhar Kar ◽  
Mayur Trivedi ◽  
Binod Patro ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Added Value ◽  
Computer Assisted ◽  
Health Related Quality ◽  
Health States ◽  
Value Set ◽  
Related Quality ◽  
Health Related ◽  
The Government

IntroductionQuality-adjusted life year (QALY) has been recommended by the government as preferred outcome measure for Health Technology Assessment (HTA) in India. As country-specific health-related quality of life tariff values are essential for accurate measurement of QALYs, the government of India has commissioned the present study. The aim of this paper is to describe the methods for the Development of an EQ-5D Value set for India using an Extended design (DEVINE) Study. Additionally, this study aspires to establish if the design of 10-time trade-off (TTO) blocks is enough to generate valid value sets.Methods and analysisA cross-sectional survey using the EuroQol Group’s Valuation Technology (EQ-VT) will be undertaken in a sample of 2700 respondents selected from six different states of India using a multistage stratified random sampling technique. The participants will be interviewed using computer-assisted personal interviewing technique. The TTO valuation will be done using 10 composite TTO (c-TTO) tasks and 7 discrete choice experiment (DCE) tasks. Hybrid modelling approach using both c-TTO and DCE data to estimate the potential value set will be applied. Values of all 3125 health states will be predicted using both the conventional EQ-VT design of 10 blocks of 10 TTO tasks, and an extended design of 18 blocks of 10 TTO tasks. The potential added value of the eight additional blocks in overall validity will be tested. The study will deliver value set for India and assess the adequacy of existing 10-blocks design to be able to correctly predict the values of all 3125 health states.Ethics and disseminationThe ethical approval has been obtained from Institutional Ethics Committee of PGIMER, Chandigarh, India. The anonymised EQ-5D-5L value set will be available for general use and in the HTAs commissioned by India’s central HTA Agency.

A Comprehensive Overview of AI-Enabled Music Classification and Its Influence in Games

2021 ◽  
Author(s):  
Tiancheng Yang ◽  
Shah Nazir
Keyword(s):  
Artificial Intelligence ◽  
Computer Assisted ◽  
Comprehensive Overview ◽  
Effective Learning ◽  
Music Classification ◽  
Interactive Tools ◽  
Visually Impaired People ◽  
Interactive Environment ◽  
Assisted Technologies

Abstract With the development and advancement of information technology, artificial intelligence (AI) and machine learning (ML) are applied in every sector of life. Among these applications, music is one of them which has gained attention in the last couple of years. The music industry is revolutionized with AIbased innovative and intelligent techniques. It is very convenient for composers to compose music of high quality using these technologies. Artificial intelligence and Music (AIM) is one of the emerging fields used to generate and manage sounds for different media like the Internet, games, etc. Sounds in the games are very effective and can be made more attractive by implementing AI approaches. The quality of sounds in the game directly impacts the productivity and experience of the player. With computer-assisted technologies, the game designers can create sounds for different scenarios or situations like horror and suspense and provide gamer information. The practical and productive audio of a game can guide visually impaired people during other events in the game. For the better creation and composition of music, good quality of knowledge about musicology is essential. Due to AIM, there are a lot of intelligent and interactive tools available for the efficiency and effective learning of music. The learners can be provided with a very reliable and interactive environment based on artificial intelligence. The current study has considered presenting a detailed overview of the literature available in the area of research. The study has demonstrated literature analysis from various perspectives, which will become evidence for researchers to devise novel solutions in the field.

Abstract P263: Computer-Assisted Decision Support in the Treatment of Acute Coronary Syndromes and Impact on Cardiovascular Outcomes

2011 ◽  
Vol 4 (suppl_1) ◽  
Author(s):  
Richard V Milani ◽  
Carl J Lavie ◽  
Daniel P Morin ◽  
Andres Rubiano
Keyword(s):  
Quality Of Care ◽  
Decision Support ◽  
Baseline Risk ◽  
Risk Scores ◽  
Computer Assisted ◽  
Improve Quality ◽  
Consensus Guidelines ◽  
Mortality And Morbidity ◽  
Coronary Syndrome

Background: Evidence from clinical trials and consensus guidelines suggest that in-hospital initiation of key therapeutics can reduce mortality and morbidity in patients admitted with acute coronary syndrome (ACS). As a result, the AHA and ACC have co-developed guideline-based “performance measures” for ACS patients, such that when every measure has been performed, the patient is considered to have achieved optimal or “perfect” care (PC). Computer-assisted decision support (CADS) is a tool that can improve quality of care and is well suited for complex algorithms governing treatment decisions. We sought to determine if CADS tailored to ACS would enhance the likelihood of achieving PC, and whether achievement of PC would translate into reduced mortality. Methods: 452 consecutive patients (mean age 68±13 years) admitted with ACS in 2009 were evaluated (unstable angina 29%, NSTEMI 61%, STEMI 10%). Physicians had the option of using either pre-printed ACS orders (standard orders) versus CADS generated orders. The CADS system utilized patient clinical data including risk scoring, to suggest specific therapeutics and drug dosing based on consensus guidelines. Endpoints were attainment of PC and 30-day mortality. Results: The 77 patients admitted using CADS generated orders were statistically similar (age, gender, ACS diagnosis, TIMI risk) to the 375 patients admitted with the standard order set. Attainment of PC was almost twice as likely when using CADS versus standard orders (84% vs. 44%, p<0.05). PC patients trended towards higher TIMI risk scores (3.2 ±1.7 vs 2.9 ±1.6, p = 0.09) but had half the 30-day mortality (2% vs 4%, p=0.05) compared to patients not achieving PC. Conclusions: Use of CADS in the setting of ACS is feasible and doubles the likelihood of attaining PC. Although patients achieving PC had higher baseline risk, their mortality was reduced by 50% compared to those not achieving PC. These data support the use of CADS in the setting of ACS to improve quality of care and subsequent outcomes.

scholarly journals Simulation of the Operation of a Single Pixel Camera with Compressive Sensing in the Long-Wave Infrared

2021 ◽  
Vol 25 (2) ◽  
pp. 53-60
Author(s):  
Anna Szajewska
Keyword(s):  
Case Analysis ◽  
Calibration Method ◽  
Reconstruction Error ◽  
Infrared Observation ◽  
Long Wave ◽  
Reference Images ◽  
The Impact ◽  
Long Wave Infrared ◽  
Single Pixel

Imaging with the use of a single pixel camera and based on compressed sensing (CS) is a new and promising technology. The use of CS allows reconstruction of images in various spectrum ranges depending on the spectrum sensibility of the used detector. During the study image reconstruction was performed in the LWIR range based on a thermogram from a simulated single pixel camera. For needs of reconstruction CS was used. A case analysis showed that the CS method may be used for construction of infrared-based observation single pixel cameras. This solution may also be applied in measuring cameras. Yet the execution of a measurement of radiation temperature requires calibration of results obtained by CS reconstruction. In the study a calibration method of the infrared observation camera was proposed and studies were carried out of the impact exerted by the number of measurements made on the quality of reconstruction. Reconstructed thermograms were compared with reference images of infrared radiation. It has been ascertained that the reduction of the reconstruction error is not directly in proportion to the number of collected samples being collected. Based on a review of individual cases it has been ascertained that apart from the number of collected samples, an important factor that affects the reconstruction fidelity is the structure of the image as such. It has been proven that estimation of the error for reconstructed thermograms may not be based solely on the quantity of executed measurements.

scholarly journals On the benefits of multimodal annotations for vocabulary uptake from reading

2021 ◽  
Author(s):  
F Boers ◽  
Paul Warren ◽  
Georgina Grimshaw ◽  
Anna Siyanova
Keyword(s):  
Language Learning ◽  
Coding Theory ◽  
Word Meaning ◽  
Single Mode ◽  
Dual Coding ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Dual Coding Theory ◽  
New Words

© 2017 Informa UK Limited, trading as Taylor & Francis Group. Several research articles published in the realm of Computer Assisted Language Learning (CALL) have reported evidence of the benefits of multimodal annotations, i.e. the provision of pictorial as well as verbal clarifications, for vocabulary uptake from reading. Almost invariably, these publications account for the observed benefits with reference to Paivio's Dual Coding Theory, suggesting it is the visual illustration of word meaning that enhances the quality of processing and hence makes new words more memorable. In this discussion article, we explore the possibility that it is not necessarily the multimodality per se that accounts for the reported benefits. Instead, we argue that the provision of multimodal annotations is one of several possible means of inviting more and/or longer attention to the annotations–with amounts of attention given to words being a significant predictor of their retention in memory. After reviewing the available research on the subject and questioning whether invoking Paivio's Dual Coding Theory is an optimal account for reported findings, we report an eye-tracking study the results of which are consistent with the alternative thesis that the advantage of multimodal glosses for word learning lies with the greater quantity of attention these glosses attract in comparison with single-mode glosses. We conclude with a call for further research on combinations and sequences of annotation types, regardless of multimodality, as ways of promoting vocabulary uptake from reading.

scholarly journals Maintainability Evaluation of Object-Oriented Software System Using Clustering Techniques

2013 ◽  
Vol 5 (2) ◽  
pp. 136-143 ◽  
Author(s):  
Astha Mehra ◽  
Sanjay Kumar Dubey
Keyword(s):  
Clustering Algorithms ◽  
Daily Basis ◽  
Computer Assisted ◽  
Program Execution ◽  
Huge Data ◽  
Large Databases ◽  
Input Dataset ◽  
Data Objects

In today’s world data is produced every day at a phenomenal rate and we are required to store this ever growing data on almost daily basis. Even though our ability to store this huge data has grown but the problem lies when users expect sophisticated information from this data. This can be achieved by uncovering the hidden information from the raw data, which is the purpose of data mining.  Data mining or knowledge discovery is the computer-assisted process of digging through and analyzing enormous set of data and then extracting the meaning out of it. The raw and unlabeled data present in large databases can be classified initially in an unsupervised manner by making use of cluster analysis. Clustering analysis is the process of finding the groups of objects such that the objects in a group will be similar to one another and dissimilar from the objects in other groups. These groups are known as clusters.  In other words, clustering is the process of organizing the data objects in groups whose members have some similarity among them. Some of the applications of clustering are in marketing -finding group of customers with similar behavior, biology- classification of plants and animals given their features, data analysis, and earthquake study -observe earthquake epicenter to identify dangerous zones, WWW -document classification, etc. The results or outcome and efficiency of clustering process is generally identified though various clustering algorithms. The aim of this research paper is to compare two important clustering algorithms namely centroid based K-means and X-means. The performance of the algorithms is evaluated in different program execution on the same input dataset. The performance of these algorithms is analyzed and compared on the basis of quality of clustering outputs, number of iterations and cut-off factors.

scholarly journals iTRAQ-Based Sperm Proteomic Analyses Reveals Candidate Proteins Affecting the Quality of Spermatozoa From Boar on Plateaus

2020 ◽  
Author(s):  
Yanling Zhao ◽  
Yaomei Wang ◽  
Feipeng Guo ◽  
Bo Lu ◽  
Jiale Sun ◽  
...  
Keyword(s):  
Western Blot ◽  
Cellular Response ◽  
Sperm Quality ◽  
Semen Analysis ◽  
Estrogen Signaling ◽  
Glutathione Metabolism ◽  
Computer Assisted ◽  
Expression Levels ◽  
Relative Expression

Abstract Background: Tibetan pigs (TP) exhibit heritable adaptations to their hypoxic environments as a result of natural selection. Whereas, what candidate proteins affecting the sperm quality of boar on plateaus has not been clearly investigated yet. Methods: In this study, to reveal the candidate proteins affecting the quality of spermatozoa from boar on plateaus, we analyzed the sperm quality by Computer-assisted semen analysis (CASA) system and Reactive oxygen species (ROS) levels, compared the sperm proteomes between TP and Yorkshire pigs (YP) raised at high altitudes using the isobaric tags for relative and absolute quantitation (iTRAQ) in combination with the liquid chromatography-tandem mass spectrometry (LC-MS/MS) proteomic method, and confirmed the relative expression levels of the four proteins by western blot. Results: The sperm quality of the TP was superior to that of the YP on plateaus. Of 1,555 quantified proteins, 318 differentially expressed proteins (DEPs) were identified. Gene ontology (GO) analysis revealed that the DEPs were predominantly associated with the sorbitol metabolic process, removal of superoxide radicals, cellular response to superoxide, response to superoxide and regulation of the mitotic spindle assembly. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were mainly enriched in pathways involved in the regulation of the actin cytoskeleton, glutathione metabolism, oxidative phosphorylation, and estrogen signaling. And based on the protein-protein interaction (PPI) network analysis, we identified 8 candidate proteins (FN1, EGF, HSP90B1, CFL1, GPX4, NDUFA6, VDAC2, and CP) that might play important roles that affect the sperm quality of boar on plateaus. Moreover, the relative expression levels of the proteins (CFL1, EGF, FN1, and GPX4) were confirmed by western blot. Conclusions: Our results reveal 8 candidate proteins (FN1, EGF, HSP90B1, CFL1, GPX4, NDUFA6, VDAC2, and CP) affecting the sperm quality of boar on plateaus, providing a reference for studies on improving sperm quality and the molecular breeding of boar on plateaus.

Il paziente con rene policistico negli ambulatori italiani

2019 ◽  
Vol 31 (2) ◽  
pp. 118-123
Author(s):  
Emanuela Dorigo ◽  
Luisa Sternfeld Pavia
Keyword(s):  
Kidney Disease ◽  
Positive Impact ◽  
Renal Cysts ◽  
Pressure Effects ◽  
Computer Assisted ◽  
Multisystem Disorder ◽  
Local Pressure ◽  
Kidney Size ◽  
Patient Journey

Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic kidney disease. PKD is a multisystem disorder associated with multiple bilateral renal cysts, slowly increasing kidney size and progressive chronic kidney disease. Approximately 50% of individuals with PKD will require renal replacement therapy by the sixth decade of life. More than 80% will also have multiple liver cysts, which can lead to local pressure effects. Cerebral haemorrhage, secondary to rupture of a berry aneurysm, occurs in up to 8% of individuals. Mitral valve prolapse occurs in up to 25% of patients. Patients with ADPKD have a worsening in the quality of life and a burden of disease similar to cancer patients. The quality of correct information given to patients and a warm reception have a positive impact on patients with ADPKD and contribute to an efficacious treatment program. AIRP conducted a survey to investigate the ADPKD patient journey, meaning the personal experience and expectations of people regarding factors such as disease management, relationships with the nephrologists and their team, and therapies. The survey was conducted on 370 people with ADPKD, using computer-assisted web interviewing (CAWI). The results show that patients with ADPKD with a good relationship with their care team, both nephrologist and nurse, respond better to therapies. Warm reception, dialogue, communication, support, clear explanation, reassurance and guidance altogether contribute to a successful treatment of every single person with ADPKD.

GRACE-FO radio occultation data processing – First result

2020 ◽  
Author(s):  
Torsten Schmidt ◽  
Patrick Schreiner ◽  
Byron Iijima ◽  
Chi Ao
Keyword(s):  
Data Processing ◽  
Radio Occultation ◽  
Temperature Data ◽  
Gps Satellites ◽  
Weather And Climate ◽  
First Results ◽  
Software Updates ◽  
Occultation Data ◽  
Radio Occultation Data

&lt;p&gt;An objective of the GRACE-FO mission is the continuation of GRACE radio occultation measurements successfully performed between 2006 and 2017.&lt;/p&gt; &lt;p&gt;GRACE and GRACE-FO radio occultations contribute to the overall radio occultation dataset used in weather and climate applications.&lt;/p&gt; &lt;p&gt;Since mid-2019 rising occultations from GF1 are available while setting radio occultations from GF2 are still disabled. After several on-board software updates and raw data reader improvements about 280 daily GF1 radio occultations are available since March 2020.&lt;/p&gt; &lt;p&gt;Currently GF1 radio occultation data are processed on the basis of different measured variables: For different GPS satellites a combination of L1CA/L2P, L1CA/L2C, or L1CA/L5 is available.&lt;/p&gt; &lt;p&gt;In this study first results of GF1 processing are presented. Refractivity and temperature data up to an altitude of 60 km will be compared with ECMWF operational analyses and the quality of the different measured variables will be evaluated.&lt;/p&gt;

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