scholarly journals A Retrospective of Materials Synthesis at the Paul Scherrer Institut (PSI)

2020 ◽  
Vol 5 (4) ◽  
pp. 55
Author(s):  
Kazimierz Conder ◽  
Albert Furrer ◽  
Ekaterina Pomjakushina
Keyword(s):  
Condensed Matter ◽  
Materials Synthesis ◽  
High Quality ◽  
Key Factor ◽  
Paul Scherrer

The availability of high-quality and well characterized materials is a key factor for condensed-matter research [...]

scholarly journals EDCrammer: An Efficient Caching Rate-Control Algorithm for Streaming Data on Resource-Limited Edge Nodes

2019 ◽  
Vol 9 (12) ◽  
pp. 2560 ◽  
Author(s):  
Yunkon Kim ◽  
Eui-Nam Huh
Keyword(s):  
Intelligent Transportation System ◽  
Streaming Data ◽  
Data Traffic ◽  
High Quality ◽  
Data Caching ◽  
Resource Limited ◽  
Quality Video ◽  
Key Factor ◽  
Efficient Data ◽  
Art Research

This paper explores data caching as a key factor of edge computing. State-of-the-art research of data caching on edge nodes mainly considers reactive and proactive caching, and machine learning based caching, which could be a heavy task for edge nodes. However, edge nodes usually have relatively lower computing resources than cloud datacenters as those are geo-distributed from the administrator. Therefore, a caching algorithm should be lightweight for saving computing resources on edge nodes. In addition, the data caching should be agile because it has to support high-quality services on edge nodes. Accordingly, this paper proposes a lightweight, agile caching algorithm, EDCrammer (Efficient Data Crammer), which performs agile operations to control caching rate for streaming data by using the enhanced PID (Proportional-Integral-Differential) controller. Experimental results using this lightweight, agile caching algorithm show its significant value in each scenario. In four common scenarios, the desired cache utilization was reached in 1.1 s on average and then maintained within a 4–7% deviation. The cache hit ratio is about 96%, and the optimal cache capacity is around 1.5 MB. Thus, EDCrammer can help distribute the streaming data traffic to the edge nodes, mitigate the uplink load on the central cloud, and ultimately provide users with high-quality video services. We also hope that EDCrammer can improve overall service quality in 5G environment, Augmented Reality/Virtual Reality (AR/VR), Intelligent Transportation System (ITS), Internet of Things (IoT), etc.

Technologies of personnel training and development in the organization

2021 ◽  
Author(s):  
Marina Polevaya ◽  
Igor' Belogrud ◽  
Irina Ivanova ◽  
Elena Kamneva ◽  
Valentina Maslova ◽  
...  
Keyword(s):  
Personnel Management ◽  
Professional Training ◽  
Training And Development ◽  
Personnel Training ◽  
High Quality ◽  
Modern Economy ◽  
Key Factor ◽  
Training Courses ◽  
Management Students ◽  
Psychological Features

In the modern economy, high-quality personnel is a key factor for the success of an organization. The success of the organization directly depends on the degree of qualification of the staff. The textbook presents technologies, methods and types of personnel training and development; legal and organizational aspects of professional training; socio-psychological features of personnel training and development; the basics of forming and managing the personnel reserve in the organization, as well as methods for evaluating the effectiveness of personnel training and development in the organization. It is intended for students studying in the direction of training "Personnel Management", students of institutes and advanced training courses, employees of personnel management services, managers of enterprises and organizations.

The relationship between working alliance and client outcomes in coaching: A meta-analysis

2019 ◽  
Vol 73 (1) ◽  
pp. 35-58 ◽  
Author(s):  
Carolin Graßmann ◽  
Franziska Schölmerich ◽  
Carsten C Schermuly
Keyword(s):  
Working Alliance ◽  
Meta Analysis ◽  
Cognitive Coaching ◽  
Client Outcomes ◽  
Negative Effects ◽  
High Quality ◽  
Helping Relationships ◽  
Key Factor ◽  
Coaching Outcomes ◽  
The Relationship

A growing number of studies emphasize the working alliance between the client and the coach to be a key factor in coaching. Synthesizing 27 samples ( N = 3563 coaching processes), this meta-analysis sheds light on the relationship between working alliance and a broad range of coaching outcomes for clients. The meta-analytic results indicate a moderate and consistent overall relationship between a high-quality working alliance and coaching outcomes for clients ( r = .41, 95% CI [.34, .48], p < .001). Working alliance was positively related to all desirable coaching outcomes (range: r = .32 to .64), with the strongest relationship to affective and cognitive coaching outcomes. Moreover, working alliance was negatively related to unintended negative effects of coaching ( r = –.29). Results revealed no differences regarding the type of clients, coaches’ expertise, number of coaching sessions, and clients’ or coaches’ perspectives. Similar to other helping relationships like psychotherapy or mentoring, the results support the importance of a high-quality working alliance in coaching.

scholarly journals Monitoring of resource-efficient provision of Ukrainian dairy processing enterprises with high-quality raw milk on the basis of international requirements

2021 ◽  
Vol 915 (1) ◽  
pp. 012030
Author(s):  
N Kushnir ◽  
A Ventsuryk ◽  
A Zhemba ◽  
D Tsaruk
Keyword(s):  
Raw Materials ◽  
Hazard Analysis ◽  
Raw Milk ◽  
Production Costs ◽  
Raw Material ◽  
High Quality ◽  
Milk Processing ◽  
Critical Control Points ◽  
Key Factor ◽  
Definition Of

Abstract The article provides information on the main problems of development of dairy enterprises in Ukraine on the criteria of sustainable development and taking into account the vector of the European integration course of the country. The level of providing milk processing enterprises with the quality of raw milk is analyzed. The main trends in the supply of raw milk from agricultural enterprises and households of Ukraine by varieties are presented and analyzed. The dynamics of milk supply and its price are also presented. It is established that the use of quality raw milk directly affects the efficiency of milk processing enterprises. Important aspects of quality control of raw dairy products at enterprises are outlined. High-quality dairy production and reduction of production costs are impossible without the functioning of the raw material quality monitoring system. To this end, it is necessary to introduce the principles of hazard analysis and critical control points in the management structure of dairy companies. It is proved that the key factor of global economic development is the state of the environment, so monitoring the supply of milk - raw materials should also be accompanied by the definition of a set of resource efficiency indicators.

scholarly journals QUALITY OF CUCUMBER SEEDLINGS GROWN IN DIFFERENT CONTAINERS

2016 ◽  
Vol 3 (1) ◽  
pp. 33-38
Author(s):  
Bruna Finotii Fonseca Reis de Mello ◽  
Mateus Vieira Trevisan ◽  
Fábio Steiner
Keyword(s):  
Quality Index ◽  
Dry Matter ◽  
Vegetable Production ◽  
High Quality ◽  
Cucumis Sativus L ◽  
Cucumber Seedlings ◽  
Key Factor ◽  
Design Characteristics ◽  
Dickson Quality Index

The use of high quality seedlings is a key factor for the success of vegetable production, and the container size and design characteristics of the containers are important determinants of seedling quality. A experiment was conducted to investigate the effects of different container types on quality of cucumber seedlings (Cucumis sativus L., cv. Aodai Melhorado). Seedlings were grown in a seedling nursery with shadow protection at 50% in different containers: (i) 128-cell trays; (ii) 64-cell trays; (iii) tubes of 120 cm3; and (iv) plastic cups of 180 cm3. The plant height, diameter, root length, shoot dry matter, root dry matter, sturdiness quotient (SQ), shoot:root dry matter ratio (SRR) and Dickson quality index (DQI) were measured at 21st days after sowing. The production of cucumber seedlings in 64-cell trays, polypropylene tubes of 120 cm3 and plastic cups of 180 cm3 resulted in the highest values for the majority of investigated traits. The tray of 128-cells results in lower quality cucumber seedlings compared to other containers. Tubes with volume of 120 cm3 and plastic cups with volume of 180 cm3 are more appropriate containers for the production of high quality cucumber seedlings. The DQI is a good indicator of the standard of quality of cucumber seedlings.

scholarly journals Assessment of the Effectiveness of Ectomycorrhizal Inocula to Promote Growth and Root Ectomycorrhizal Colonization inPinus patulaSeedlings Using the Most Probable Number Technique

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Manuel Restrepo-Llano ◽  
Nelson W. Osorio ◽  
Juan D. León
Keyword(s):  
Root Colonization ◽  
Most Probable Number ◽  
Pinus Patula ◽  
Forest Plantations ◽  
High Quality ◽  
Probable Number ◽  
Key Factor ◽  
Ectomycorrhizal Colonization ◽  
Forest Nurseries

The aim of this study was to evaluate the response ofPinus patulaseedlings to two inocula types: soil from aPinusplantation (ES) and anin vitroproduced inoculum (EM). The most probable number method (MPN) was used to quantify ectomycorrhizal propagule density (EPD) in both inocula in a 7-order dilution series ranging from 100(undiluted inoculum) to 10−6(the most diluted inoculum). The MPN method allowed establishing differences in the number of infective ectomycorrhizal propagules’ density (EPD) (ES=34per g;EM=156per g). The results suggest that the EPD of an inoculum may be a key factor that influences the successfulness of the inoculation. The low EPD of the ES inoculum suggests that soil extracted from forest plantations had very low effectiveness for promoting root colonization and plant growth. In contrast, the high EPD found in the formulated inoculum (EM) reinforced the idea that it is better to use proven high quality inocula for forest nurseries than using soil from a forestry plantation.

Metallurgical Design and Performance of HFW Linepipe With a High-Quality Weld Seam Suitable for Sour Services

2013 ◽  
Author(s):  
Shunsuke Toyoda ◽  
Sota Goto ◽  
Takatoshi Okabe ◽  
Hideto Kimura ◽  
Shuichi Sato ◽  
...  
Keyword(s):  
Weld Seam ◽  
Welding Process ◽  
Steel Matrix ◽  
Diffusible Hydrogen ◽  
High Quality ◽  
The Matrix ◽  
Key Factor ◽  
And Performance ◽  
Gasification Reaction ◽  
Crack Initiation Criterion

To clarify the effects of inclusions on the sour resistance properties of X60- to X70-grade steel, their resistance to hydrogen-induced cracking (HIC) was numerically simulated. The steel was assumed to have a yield strength of 562 MPa and a tensile strength of 644 MPa for the simulation. To estimate the effect of nonmetallic inclusions, a virtual inclusion was situated at the center of a 10-mm-thick HIC test specimen. Tests were performed using NACE test solution A. The crack initiation criterion was determined as a function of the diffusible hydrogen concentration, the diameter of the inclusion, the edge radius of the inclusion, and the fracture toughness of the matrix after hydrogen absorption. The crack propagation was calculated as a function of the diffusion coefficient of hydrogen in the steel matrix and the gasification reaction ratio of hydrogen at the interface of the steel matrix and the inclusion. Based on the results of the numerical estimation, high-frequency electric resistance welded (HFW) Linepipe with a high-quality weld seam was developed. Controlling the morphology and distribution of oxides generated during the welding process by means of temperature and deformation distribution control is the key factor for improving resistance to HIC.

scholarly journals Robust Characterization of the Uterine Myoelectrical Activity in Different Obstetric Scenarios

Entropy ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. 743
Author(s):  
Javier Mas-Cabo ◽  
Yiyao Ye-Lin ◽  
Javier Garcia-Casado ◽  
Alba Díaz-Martinez ◽  
Alfredo Perales-Marin ◽  
...  
Keyword(s):  
Post Partum ◽  
Relevant Information ◽  
Assessment Tools ◽  
Fast Wave ◽  
Root Mean Square Amplitude ◽  
High Quality ◽  
Myoelectrical Activity ◽  
Non Linear ◽  
Key Factor ◽  
Electrophysiological Characterization

Electrohysterography (EHG) has been shown to provide relevant information on uterine activity and could be used for predicting preterm labor and identifying other maternal fetal risks. The extraction of high-quality robust features is a key factor in achieving satisfactory prediction systems from EHG. Temporal, spectral, and non-linear EHG parameters have been computed to characterize EHG signals, sometimes obtaining controversial results, especially for non-linear parameters. The goal of this work was to assess the performance of EHG parameters in identifying those robust enough for uterine electrophysiological characterization. EHG signals were picked up in different obstetric scenarios: antepartum, including women who delivered on term, labor, and post-partum. The results revealed that the 10th and 90th percentiles, for parameters with falling and rising trends as labor approaches, respectively, differentiate between these obstetric scenarios better than median analysis window values. Root-mean-square amplitude, spectral decile 3, and spectral moment ratio showed consistent tendencies for the different obstetric scenarios as well as non-linear parameters: Lempel–Ziv, sample entropy, spectral entropy, and SD1/SD2 when computed in the fast wave high bandwidth. These findings would make it possible to extract high quality and robust EHG features to improve computer-aided assessment tools for pregnancy, labor, and postpartum progress and identify maternal fetal risks.

scholarly journals Flotation Height Prediction under Stable and Vibration States in Air Cushion Furnace Based on Hard Division Method

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Shuai Hou ◽  
Jianhui Liu ◽  
Wu Lv
Keyword(s):  
Prediction Model ◽  
Prediction Models ◽  
Theoretical Foundation ◽  
Denoising Autoencoder ◽  
High Quality ◽  
Parallel Hybrid ◽  
Key Factor ◽  
Height Prediction ◽  
Air Cushion ◽  
Division Model

Air cushion furnace is indispensable equipment for the production of high quality strip, and it is significant to national economy. The flotation height is a key factor to the quality and efficiency of the product. However, the current prediction models can merely predict the flotation height of strip in air cushion furnace at single working state. The precision of prediction model is inaccurate at the circumstance of low flotation height. To solve the above problem, firstly, this paper proposes a framework which can predict the flotation height of strip under both stable and vibration states. The framework is composed of the hard division model and prediction model. Secondly, a hard division method is proposed based on clustering which combines stacked denoising autoencoder and floating process knowledge. Thirdly, a parallel hybrid flotation height prediction model is proposed, which can provide desirable prediction results at the circumstance of low flotation height. Finally, the LSSVR model is used to predict the maximum and minimum flotation height of strip at vibration state. The experimental results show that the framework can accurately divide the stable and vibration states of the strip and can accurately predict the flotation height of the strip under the stable and vibration states. The research contents of this paper lay an important theoretical foundation for the precise process control in air cushion furnace.

scholarly journals Acknowledgement to Reviewers of Condensed Matter in 2018

2019 ◽  
Vol 4 (1) ◽  
pp. 16
Author(s):  
Keyword(s):  
Peer Review ◽  
Condensed Matter ◽  
Quality Standards ◽  
High Quality ◽  
Publication Process

Peer review is an essential part in the publication process, ensuring that Condensed Matter maintains high quality standards for its published papers [...]

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