scholarly journals Study of contact plates recovery from pharmaceutical cleanroom surfaces across three-time ranges

2020 ◽  
Author(s):  
Tim Sandle
Keyword(s):  
Staphylococcus Aureus ◽  
Stainless Steel ◽  
Environmental Monitoring ◽  
Sampling Method ◽  
Sampling Time ◽  
Experimental Results ◽  
Monitoring Methods ◽  
Microbial Adhesion ◽  
Factors Affecting ◽  
Contact Plate

Viable environmental monitoring methods remain primarily culture based. One example is with the contact plate. While the method is long-established, there remain aspects that are under-researched in relation to sampling. Factors affecting surface recovery relate to microbial adhesion, the type of surface, the sampling method and the time and pressure applied. This paper examines the effect of time, when a consistent pressure is applied, in relation to microbial recovery (for the organism Staphylococcus aureus) from two surfaces common to pharmaceutical facilities: stainless-steel and vinyl. The experimental results show that surface recovery was superior for vinyl compared with stainless-steel. For both surface types, a 20 second sampling time was shown to lead to a better recovery compared to a ten second sampling time (with a 30 second sampling time not leading to a significant improvement to the microbial surface recovery).

scholarly journals INVESTIGATING THE INFLUENCE OF THE NUMBER OF REPETITIONS AND VOLUMETRIC ENERGY DENSITY ON LASER MARKING OF PRODUCTS

2014 ◽  
Vol 5 (2) ◽  
Author(s):  
Nikolay Angelov
Keyword(s):  
Stainless Steel ◽  
Energy Density ◽  
Fiber Laser ◽  
Power Density ◽  
Experimental Results ◽  
Absorbed Energy ◽  
Laser Marking ◽  
Factors Affecting ◽  
Volumetric Density

The basic factors affecting the laser marking of products – volumetric density of the absorbed energy and the number of repetitions, were studied. Experiments were conducted of marking the samples of stainless steel with fiber laser. The dependence of the contrast of marking from the power density for different number of repetitions, and also the volumetric density of the absorbed energy from speed was obtained and the experimental results analyzed.

scholarly journals Biologics Formulation Factors Affecting Metal Leachables from Stainless Steel

2011 ◽  
Vol 12 (1) ◽  
pp. 411-421 ◽  
Author(s):  
Shuxia Zhou ◽  
Christian Schöneich ◽  
Satish K. Singh
Keyword(s):  
Stainless Steel ◽  
Factors Affecting ◽  
Formulation Factors

scholarly journals Factors Affecting the Lut Desert Tourism in Iran: Developing an Interpretive-Structural Model

2021 ◽  
Vol 13 (13) ◽  
pp. 7245
Author(s):  
Beniamino Murgante ◽  
Mohammad Eskandari Sani ◽  
Sara Pishgahi ◽  
Moslem Zarghamfard ◽  
Fatemeh Kahaki
Keyword(s):  
Sampling Method ◽  
Structural Model ◽  
Tourism Development ◽  
Cost Effective ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Factors Affecting ◽  
Purposive Sampling ◽  
Interpretive Structural Model ◽  
Lut Desert

The Lut desert is one of the largest and most attractive deserts in Iran. The value of desert tourism remains unclear for Iran’s economy and has only recently been taken into consideration by the authorities, although its true national and international value remains unclear. This study was aimed at investigating the factors that influence tourism development in the Lut desert. Data collected through the purposive sampling method was analyzed using Interpretive Structural Modeling and the MICMAC Analysis. According to the results, cost-effective travel expenses, security, and safety provided in the desert, together with appropriate media advertising and illustration of the Lut desert (branding) are the leading factors that influence tourism in the Lut desert in Iran. This paper highlighted the importance of desert tourism, especially in this region.

scholarly journals Two methods of assessing the mortality factors affecting the larvae and pupae of Cameraria ohridella in the leaves of Aesculus hippocastanum in Switzerland and Bulgaria

2007 ◽  
Vol 97 (5) ◽  
pp. 445-453 ◽  
Author(s):  
S. Girardoz ◽  
R. Tomov ◽  
R. Eschen ◽  
D.L.J. Quicke ◽  
M. Kenis
Keyword(s):  
Leaf Senescence ◽  
Sampling Method ◽  
Plant Defence ◽  
Leaf Miner ◽  
Mortality Factor ◽  
Horse Chestnut ◽  
Mortality Factors ◽  
Grab Sampling ◽  
Defence Reaction ◽  
Factors Affecting

AbstractThe horse-chestnut leaf miner, Cameraria ohridella, is an invasive alien species defoliating horse-chestnut, a popular ornamental tree in Europe. This paper presents quantitative data on mortality factors affecting larvae and pupae of the leaf miner in Switzerland and Bulgaria, both in urban and forest environments. Two sampling methods were used and compared: a cohort method, consisting of the surveying of pre-selected mines throughout their development, and a grab sampling method, consisting of single sets of leaves collected and dissected at regular intervals. The total mortality per generation varied between 14 and 99%. Mortality was caused by a variety of factors, including parasitism, host feeding, predation by birds and arthropods, plant defence reaction, leaf senescence, intra-specific competition and inter-specific competition with a fungal disease. Significant interactions were found between mortality factors and sampling methods, countries, environments and generation. No mortality factor was dominant throughout the sites, generations and methods tested. Plant defence reactions constituted the main mortality factor for the first two larval stages, whereas predation by birds and arthropods and parasitism were more important in older larvae and pupae. Mortality caused by leaf senescence was often the dominant mortality factor in the last annual generation. The cohort method detected higher mortality rates than the grab sampling method. In particular, mortality by plant defence reaction and leaf senescence were better assessed using the cohort method, which is, therefore, recommended for life table studies on leaf miners.

A Noncyclic Method for Determination of Accumulated Strain in Stainless Steel 304 Pressure Vessels

2014 ◽  
Vol 136 (6) ◽  
Author(s):  
Gongfeng Jiang ◽  
Gang Chen ◽  
Liang Sun ◽  
Yiliang Zhang ◽  
Xiaoliang Jia ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Internal Pressure ◽  
Pressure Vessel ◽  
Peak Stress ◽  
Pressure Vessels ◽  
Experimental Results ◽  
Elastic Domain ◽  
Ratcheting Strain ◽  
Stainless Steel 304 ◽  
Accumulated Strain

Experimental results of uniaxial ratcheting tests for stainless steel 304 (SS304) under stress-controlled condition at room temperature showed that the elastic domain defined in this paper expands with accumulation of plastic strain. Both ratcheting strain and viscoplastic strain rates reduce with the increase of elastic domain, and the total strain will be saturated finally. If the saturated strain and corresponded peak stress of different experimental results under the stress ratio R ≥ 0 are plotted, a curve demonstrating the material shakedown states of SS304 can be constituted. Using this curve, the accumulated strain in a pressure vessel subjected to cyclic internal pressure can be determined by only an elastic-plastic analysis, and without the cycle-by-cycle analysis. Meanwhile, a physical experiment of a thin-walled pressure vessel subjected to cyclic internal pressure has been carried out to verify the feasibility and effectiveness of this noncyclic method. By comparison, the accumulated strains evaluated by the noncyclic method agreed well with those obtained from the experiments. The noncyclic method is simpler and more practical than the cycle-by-cycle method for engineering design.

scholarly journals Heat transfer analysis of Staphylococcus aureus on stainless steel with microwave radiation

1999 ◽  
Vol 87 (3) ◽  
pp. 396-401 ◽  
Author(s):  
C. B. A. Yeo ◽  
I. A. Watson ◽  
D. E. S. Stewart-Tull ◽  
V. H. H. Koh
Keyword(s):  
Heat Transfer ◽  
Staphylococcus Aureus ◽  
Stainless Steel ◽  
Microwave Radiation ◽  
Heat Transfer Analysis

Analysis of Factors Affecting Fraudulent Financial Reporting with Independent Commissioners as Moderation Variable

2021 ◽  
Vol 5 (4) ◽  
pp. 01-12
Author(s):  
Andalia Andalia ◽  
Amiruddin Amiruddin ◽  
Grace T. Pontoh
Keyword(s):  
Regression Analysis ◽  
Financial Reporting ◽  
Internal Control ◽  
Sampling Method ◽  
Stock Exchange ◽  
Jel Classification ◽  
Fraudulent Financial Reporting ◽  
Factors Affecting ◽  
Effect Of Pressure ◽  
Analysis Technique

Objective - This study aims to examine and analyze the effect of pressure, opportunity, rationalization, ability and arrogance on fraudulent financial reporting with independent commissioners as the moderating variable. Methodology/Technique - The object of this research is all companies listed on the Indonesian Stock Exchange during 2019. The research sample was obtained through purposive sampling method and resulted in 215 companies. The analysis technique used is multiple regression analysis and Moderated Regression Analysis (MRA). Findings - The results show that pressure, opportunity, rationalization, ability and arrogance had a significant effect on fraudulent financial reporting. The results of the moderation regression analysis show that independent commissioners moderate the effect of pressure and arrogance on fraudulent financial reporting. Meanwhile, independent commissioners did not moderate opportunities, rationalization, and capacity for fraudulent financial reporting. Novelty - This research contributes to the pentagon fraud theory, which proves that the elements contained in this theory can be used as a basis for analyzing fraud committed by companies, and contributing to the company so that the company's internal control is improved and the presence of an independent board of commissioners is not only a fulfillment of the company's internal control. regulations made by the IDX. Type of Paper: Empirical. JEL Classification: G32, M21, M41, M42. Keywords: Pressure; Opportunities; Rationalization; Arrogance; Fraudulent Financial Reporting Reference to this paper should be made as follows: Andalia; Amiruddin; Pontoh, G.T. (2021). Analysis of Factors Affecting Fraudulent Financial Reporting with Independent Commissioners as Moderation Variable, Accounting and Finance Review, 5(4): 01 – 12. https://doi.org/10.35609/afr.2021.5.4(1)

RAP: A Software Framework of Developing Convolutional Neural Networks for Resource-constrained Devices Using Environmental Monitoring as a Case Study

2021 ◽  
Vol 5 (4) ◽  
pp. 1-28
Author(s):  
Chia-Heng Tu ◽  
Qihui Sun ◽  
Hsiao-Hsuan Chang
Keyword(s):  
Neural Networks ◽  
Environmental Monitoring ◽  
Convolutional Neural Networks ◽  
Model Building ◽  
Software Framework ◽  
Training Procedure ◽  
Monitoring Methods ◽  
Resource Constrained ◽  
Resource Constrained Devices ◽  
Constrained Devices

Monitoring environmental conditions is an important application of cyber-physical systems. Typically, the monitoring is to perceive surrounding environments with battery-powered, tiny devices deployed in the field. While deep learning-based methods, especially the convolutional neural networks (CNNs), are promising approaches to enriching the functionalities offered by the tiny devices, they demand more computation and memory resources, which makes these methods difficult to be adopted on such devices. In this article, we develop a software framework, RAP , that permits the construction of the CNN designs by aggregating the existing, lightweight CNN layers, which are able to fit in the limited memory (e.g., several KBs of SRAM) on the resource-constrained devices satisfying application-specific timing constrains. RAP leverages the Python-based neural network framework Chainer to build the CNNs by mounting the C/C++ implementations of the lightweight layers, trains the built CNN models as the ordinary model-training procedure in Chainer, and generates the C version codes of the trained models. The generated programs are compiled into target machine executables for the on-device inferences. With the vigorous development of lightweight CNNs, such as binarized neural networks with binary weights and activations, RAP facilitates the model building process for the resource-constrained devices by allowing them to alter, debug, and evaluate the CNN designs over the C/C++ implementation of the lightweight CNN layers. We have prototyped the RAP framework and built two environmental monitoring applications for protecting endangered species using image- and acoustic-based monitoring methods. Our results show that the built model consumes less than 0.5 KB of SRAM for buffering the runtime data required by the model inference while achieving up to 93% of accuracy for the acoustic monitoring with less than one second of inference time on the TI 16-bit microcontroller platform.

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