Use Of Related Data Research Articles

PickupSimulo–Prototype of Intelligent Software to Support Warehouse Managers Decisions for Product Allocation Problem

In this paper, a new model supporting decisions about product allocation in an order-picking shelf warehouse is presented. Industry 4.0 pays attention to inciting the processes, self-analysis and self-optimization of the short response time to market changes, and the maximum use of related data. Methods for solving the product allocation problem (PAP) are not enough to meet the requirements of Industry 4.0. The authors present a new approach for solving PAP. The novelty introduced in the model is based on correlated data—products parameters, clients’ orders and warehouse layout. The proposed model contains elements of intelligence. The model, after product classification and allocation, analyzes its effectiveness by a simulation of the order-picking process. The application of artificial neural networks (ANN) as a part of the computing model enables the analysis of large data sets in a short time. The presented study has proved the proposed model, both for practical and scientific purposes. Relying on the research results, the total warehouse cost could be reduced by 10 to 16 per cent. With the use of the proposed model, it is possible to predict the effect of future actions before their execution. The model can be implemented in most conventional warehouses to raise the throughput performance of the order-picking process.

Innovative domestic product of “Емкарвак” – vaccine against blacleg at the market of veterinary immunobiological facilities

The results over the test of new domestic vaccine against to the blackleg – “ЕМКАРВАК” was brought. The local productive strain C. chauvoei of Л– 7 has high immunogenicity, protective capacity and create immunity duration over 9 months. The corresponding changes in regulation technological process was enable to use of the newest data in relation to immunogenicity capacity of C. chauvoei. In particular, duration of accumulation of microbial mass of C. chauvoei in a reactor diminished from 36–42 hours to 16–18 hour, as an adsorbent is used aerosils of brand of А-300 (a production is Germany) from the calculation of 3 ± 0.1mg/sm3 culture; the supernatants was recovered by concentration of liquid after inactivation. The microbial mass of vaccine is 3.5 ± 0.3×1093. The tests of vaccine of “ЕМКАРВАК” showed that preparation was sterile, inactivated, harmless (a bioassay is on guinea-pigs), owns high antigen (the level of antibodies for the instilled animals presented 1:828 ± 257 on a 21th day after inoculation) and immunogenicity activity. The field tests of vaccine of “ЕМКАРВАК” showed that a vaccine owns high antigenicity, providing even in 12 months after her inoculation high level of specific antibodies (the level for the instilled animals presented 1:32 ± 6.0 against 1:11 ± 3.6 for control animals). The productive tests of the productive-experienced series of vaccine of “ЕМКАРВАК’ conducted in the conditions of 22 unhappy economies of the Volyn’ area on young cattle. Rejections of general (oppression, increase of temperature, loss of appetite and others like that) or changes of local character (slight swelling in place inoculation, increase of regional lymphatic knots) it was not educed. Thus, the vaccine of “ЕМКАРВАК” in the conditions of the field test appeared harmless and immunogenicity, able to support tense immunity at the receptive contingent of cattle during 9 months (term of supervision).

Standardised criteria for classifying the International Classification of Activities for Time-use Statistics (ICATUS) activity groups into sleep, sedentary behaviour, and physical activity

BackgroundGlobally, the International Classification of Activities for Time-Use Statistics (ICATUS) is one of the most widely used time-use classifications to identify time spent in various activities. Comprehensive 24-h activities that can be extracted from ICATUS provide possible implications for the use of time-use data in relation to activity-health associations; however, these activities are not classified in a way that makes such analysis feasible. This study, therefore, aimed to develop criteria for classifying ICATUS activities into sleep, sedentary behaviour (SB), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA), based on expert assessment.MethodWe classified activities from the Trial ICATUS 2005 and final ICATUS 2016. One author assigned METs and codes for wakefulness status and posture, to all subclass activities in the Trial ICATUS 2005. Once coded, one author matched the most detailed level of activities from the ICATUS 2016 with the corresponding activities in the Trial ICATUS 2005, where applicable. The assessment and harmonisation of each ICATUS activity were reviewed independently and anonymously by four experts, as part of a Delphi process. Given a large number of ICATUS activities, four separate Delphi panels were formed for this purpose. A series of Delphi survey rounds were repeated until a consensus among all experts was reached.ResultsConsensus about harmonisation and classification of ICATUS activities was reached by the third round of the Delphi survey in all four panels. A total of 542 activities were classified into sleep, SB, LPA, and MVPA categories. Of these, 390 activities were from the Trial ICATUS 2005 and 152 activities were from the final ICATUS 2016. The majority of ICATUS 2016 activities were harmonised into the ICATUS activity groups (n = 143).ConclusionsBased on expert consensus, we developed a classification system that enables ICATUS-based time-use data to be classified into sleep, SB, LPA, and MVPA categories. Adoption and consistent use of this classification system will facilitate standardisation of time-use data processing for the purpose of sleep, SB and physical activity research, and improve between-study comparability. Future studies should test the applicability of the classification system by applying it to empirical data.

A New Method for Generating Image Projections in DLP-type 3D Printer Systems

This paper presents a novel method for generating image projections required for Digital Light Processing type 3D printer systems where the entire cross-section of the printed object is directly formed via projecting the image onto a vat of photopolymers. The cross-sections (i.e. slices), which are initially represented as bitmap images, are compressed via a novel lossless compression technique which makes good use of relative data encoding. The coherence between the consecutive slices (or images) are taken into account in this proposed paradigm. The method yields satisfactory performance in terms of data compaction achieved in the test cases considered.

Social networks and creation of social capital in second-home localities

Second home tourism has major economic, environmental and social impacts on the localities in question. The aim of the presented study is to find out how second home tourism influences the social environment of a municipality, and whether and how it contributes to the creation of social capital and the knowledge transfer. It ensues from the use of relational data that links appear in the localities primarily on the neighbourly basis. In some cases, the contacts are also used in the place of permanent residence. As a result, the social networks and the knowledge that appear among the participants also have an impact outside a locality in question. The connection to permanent residents of a municipality is rather weak. One can see here an obvious link primarily to major actors or permanent residents living near second-home owners. When establishing contacts, this points out the importance of geographical proximity rather than the often accentuated role of the relationship “second-home owner versus permanent resident”.

Internal and external factors effect on the mobile pressure sensors’ performance

Purpose The purpose of this study is to investigate the effect of internal and external factors on the accuracy and consistency of the data provided by mobile-embedded micro-electromechanical system (MEMS) pressure sensors based on smartphones currently in use. Design/methodology/approach For this purpose, sensor type and smartphone model have been regarded as internal factors, whereas temperature, location and usage habits have been considered as external factors. These factors have been investigated by examining data sets provided by sensors from 14 different smartphones. In this context, internal factors have been analyzed by implementing accuracy assessment processes for three different smartphone models, whereas external factors have been evaluated by analyzing the line charts which present timely pressure changes. Findings The study outlined that the sensor data at different sources have different characteristics due to the affecting parameters. Even if the pressure sensors are used under similar circumstances, data of these sensors have inconsistencies because of the sensor drift originated by internal factors. This study concluded that it was not applicable to provide a common correction coefficient for pressure sensor data of each smartphone model. Therefore, relative data (pressure differences) should be taken into consideration rather than absolute data (pressure values) when developing mobile applications using sensor data. Research limitations/implications Results of this study can be used as the guideline for developing mobile applications using MEMS pressure sensors. One of the main finding of this paper is promoting the use of relative data (pressure differences) rather than absolute data (pressure values) when developing mobile applications using smartphone-embedded sensor data. This significant result was proved by examinations applied with in the study and can be applied by future research studies. Originality/value Existing studies mostly evaluate the use of MEMS pressure sensor data obtained from limited number of smartphone models. As each smartphone model has a specific technology, factors affecting the sensor performances should be identified and analyzed precisely in terms of smartphone models for providing extensive results. In this study, five smartphone models were used fractionally. In this context, they were used for examining the common effects of the factors, and detailed accuracy assessments were applied by using two high-tech smartphones in the market.

Characteristics of environmental changing in Ariake Sea based on surveying the data of water quality and bottom sediment

This study presents attribute analysis of environmental change in Ariake Sea with the use of data in relation to the waterquality and bottom sediment. As a result of cluster analysis for water quality data, Ariake Sea is classified into six areas.and as a result of cluster analysis for water quality data of recent yeas, Head of Ariake Sea is classified into five areas. The surface of sea bottom was stirred in several places of Ariake Sea with the device of the rake type as approach of Ariake Sea reproduction. Effect of the stir of sea bottom appears in the decrease of ignition loss etc. and nutrient salt etc. It was clarified that the effect of the stir of sea bottom was influenced from the sea area environmental characteristic of the water quality, bottom quality, tidal current etc.

Percutaneous Radiofrequency Ablation of Hepatic Tumors against the Diaphragm: Frequency of Diaphragmatic Injury1

To retrospectively determine the frequency of diaphragmatic injury when percutaneous hepatic radiofrequency (RF) ablation is performed adjacent to the diaphragm. Institutional Review Board approval was obtained for our HIPAA-compliant study. Informed consent for the ablation procedure and for use of related data for future research was obtained from each patient. A retrospective review was conducted of 215 patients undergoing percutaneous RF ablation of hepatic tumors. Twenty-nine patients (21 men and eight women; age, 41-89 years) were identified with tumors abutting the diaphragm. Episodes of right shoulder pain were recorded. A panel of radiologists blinded to the patients' clinical histories reviewed their imaging for evidence of diaphragmatic injury and ablation success. A generalized estimating equation model and the Fisher exact test were used for statistical analysis. The 29 patients had a total of 33 tumors abutting the diaphragm. Tumor size was 1.3-5.5 cm (mean, 3.2 cm +/- 1.1). After ablation, five (17%) patients reported right shoulder pain. In four, pain was mild or moderate, with symptoms lasting 2-14 days (median, 5.5 days). Three of these showed diaphragmatic thickening on postablation computed tomographic (CT) scans. One patient had severe pain lasting 2 weeks, followed by milder pain for 2 months. This patient's postablation CT images showed focal nodular diaphragmatic thickening. This patient was treated with a multitined device; the other four, with straight-needle devices. Local tumor progression was seen in 14 tumors (42.4%). Tumors 3 cm or smaller had a much lower local progression rate than tumors larger than 3 cm (12.5% vs 70.6%). Of 29 patients who had ablation of hepatic tumors adjacent to the diaphragm, five (17%) had diaphragmatic injury, which was clinically apparent with right shoulder pain.

Will Data Privacy Impact Health Research?

European Community Directive 95/46/EC on the protection of individuals with regard to the processing of personal data and the free movement of such data establishes a framework for the harmonization of regulations on the privacy of personal data. This directive has changed the regulatory framework in the European Union and has the potential to impact the use of human data generated during product development or postlicensing. This article reviews aspects and provisions of the directive and the ways in which it may affect clinical trial and data management activities. It evaluates existing safeguards and the ways in which they could minimize the negative effects of the directive without minimizing its noble and valid objective. The impact of regulations in other countries, specifically with regard to issues such as anonymization (defined by the American Society of Human Genetics as irreversibly stripping all identifiers from biological materials that were originally collected and identified and making them impossible to link to their sources) for privacy and use of data in relation to new technologies such as genetics and genomics are also covered.

Soviet industrial statistics: Use of cost data in relation to gross and net output

Soviet industrial statistics: Use of cost data in relation to gross and net output