scholarly journals Fe0/H2O Systems for Environmental Remediation: The Scientific History and Future Research Directions

Water ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1739 ◽  
Author(s):  
Rui Hu ◽  
Xuesong Cui ◽  
Willis Gwenzi ◽  
Shuanghong Wu ◽  
Chicgoua Noubactep
Keyword(s):  
Environmental Remediation ◽  
Scientific Literature ◽  
Direct Reduction ◽  
Future Research ◽  
Contaminant Removal ◽  
Research Directions ◽  
Future Research Directions ◽  
Water Provision ◽  
Intrinsic Reactivity ◽  
Further Development

Elemental iron (Fe0) has been widely used in groundwater/soil remediation, safe drinking water provision, and wastewater treatment. It is still mostly reported that a surface-mediated reductive transformation (direct reduction) is a relevant decontamination mechanism. Thus, the expressions “contaminant removal” and “contaminant reduction” are interchangeably used in the literature for reducible species (contaminants). This contribution reviews the scientific literature leading to the advent of the Fe0 technology and shows clearly that reductive transformations in Fe0/H2O systems are mostly driven by secondary (FeII, H/H2) and tertiary/quaternary (e.g., Fe3O4, green rust) reducing agents. The incidence of this original mistake on the Fe0 technology and some consequences for its further development are discussed. It is shown, in particular, that characterizing the intrinsic reactivity of Fe0 materials should be the main focus of future research.

Long-Term Effects of Sports Concussions: Bridging the Neurocognitive Repercussions of the Injury with the Newest Neuroimaging Data

2016 ◽  
Vol 23 (5) ◽  
pp. 567-578 ◽  
Author(s):  
Luke C. Henry ◽  
Sebastien Tremblay ◽  
Louis De Beaumont
Keyword(s):  
Scientific Literature ◽  
Chronic Traumatic Encephalopathy ◽  
Future Research ◽  
Long Term Effects ◽  
Long Term Outcomes ◽  
Research Directions ◽  
Neuroimaging Data ◽  
Future Research Directions ◽  
Sports Concussions

Little is known of the long-term effects of sports-related concussion. Within the scientific literature, conclusions vary substantially where some work suggests there are no long-term consequences at all and other studies show rampant neurodegeneration thought to be caused by sometimes even a single concussive blow to the head. There is growing evidence that supports multiple long-term outcomes, showing both subclinical and clinically relevant changes in the brains of athletes, young and old alike. This article reviews the pathohistology of cerebral concussions and examines the extant literature with a focus on electrophysiological and neuroimaging findings. Neurobehavioral and neurocognitive changes are also reviewed, particularly as they are related to chronic traumatic encephalopathy. Lacunae within the literature are explored, and future research directions are proposed.

scholarly journals Lean and Agile model implementation for managing the supply chain

2020 ◽  
Vol 14 (1) ◽  
pp. 847-858
Author(s):  
Youssef Hassani ◽  
Ioana Ceauşu ◽  
Adrian Iordache
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Scientific Literature ◽  
Supply Chain Integration ◽  
Future Research ◽  
Research Directions ◽  
Demand And Supply ◽  
Chain Management ◽  
Future Research Directions ◽  
Agile Model

AbstractEven though both researchers and practitioners propose several approaches to supply chain management research and the scientific literature shows that several methods have been implemented for supply chain management, the studies carried out have not revealed a formalized process or a clear method for supply chain integration. Indeed, there is a specific way to achieve this integration in the supply chain and there are differences in how one company does it compared to another. More recently, an alternative based on the Lean and Agile paradigms has been presented. The implementation of the Lean and Agile models to the supply chain aims to improve and simplify the production and the process of minimizing or eliminating wastes of all kinds, raise the productivity of the supply chain, increase the capability to respond quickly to unpredictable and changing customer demands and to take advantage of the uncertainty and the volatility of the market in the medium term. The main objective of this paper is to conduct an impact study on the implementation of Lean and Agile models in the supply chain, based on a review of the scientific literature concerning the models implemented to improve the productivity of the supply chain. We aim to identify and analyze the research carried out regarding the implementation of Lean and Agile models in order to improve the supply chain management, the results achieved and future research directions. Although the Lean and Agility paradigms are distinct and can be developed differently, they can be successfully integrated into a well-designed supply chain integration that involves a substantial degree of ambiguity in terms of significance and level of application across different supply chains, in order to increase the capacity to act, react and adapt to changes in demand and supply.

Measurement of the Learning Organization Construct: A Critical Perspective and Future Directions for Research

2019 ◽  
pp. 316-332
Author(s):  
Swee Chua Goh
Keyword(s):  
Organizational Performance ◽  
Survey Research ◽  
Learning Organization ◽  
Future Research ◽  
Critical Perspective ◽  
Future Directions ◽  
Research Directions ◽  
Survey Instruments ◽  
Future Research Directions ◽  
Further Development

This chapter explores and reviews the development of survey research instruments to measure the learning organization construct. Some examples of such measures are presented and discussed to illustrate the approach used by researchers to establish the reliability and construct validity of these instruments. The contribution in the use of such measures to empirical research in linking the learning organization to outcomes such as organizational performance is also reviewed. A critical perspective is provided as to some of the potential issues for research in the use and further development of such survey instruments. Lastly, some suggested future research directions are proposed on how, using such measures, the field can advance our knowledge of the learning organization through more novel research methods and approaches.

scholarly journals Thirty Years of Research on Succession in the Field of Family Business: A Bibliometric Analysis

2021 ◽  
Vol 17 (1) ◽  
pp. 88
Author(s):  
Atar Benismael ◽  
Mohamed Nabil El mabrouki
Keyword(s):  
Bibliometric Analysis ◽  
Family Business ◽  
Scientific Literature ◽  
Future Research ◽  
Research Topics ◽  
Scientific Publications ◽  
Research Directions ◽  
Word Analysis ◽  
Different Types ◽  
Future Research Directions

Bibliometric analysis is the application of statistical methods to quantitatively analyze scientific publications. It makes it possible to evaluate the production of a laboratory, a journal or a field of research. The objective of this study is to carry out an analysis of the scientific literature published on succession in the field of family business over the last thirty years. Two different types of indicators were used. The first concerns the activity indicators, which provides information about the productivity of journals and authors. The second is about co-citation analysis which gives an idea of the links between researchers, and co-word analysis which identifies interactions and relationships between different research topics. The results obtained reveal that it is a relatively recent area of research with strong connections between authors. Gaps in the literature as well as future research directions are also presented.

scholarly journals Wearable Devices for Ergonomics: A Systematic Literature Review

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 777
Author(s):  
Elena Stefana ◽  
Filippo Marciano ◽  
Diana Rossi ◽  
Paola Cocca ◽  
Giuseppe Tomasoni
Keyword(s):  
Scientific Literature ◽  
Well Being ◽  
Wearable Devices ◽  
Future Research ◽  
Body Parts ◽  
Vibrotactile Feedback ◽  
Research Directions ◽  
Different Types ◽  
Future Research Directions ◽  
Selection Of

Wearable devices are pervasive solutions for increasing work efficiency, improving workers’ well-being, and creating interactions between users and the environment anytime and anywhere. Although several studies on their use in various fields have been performed, there are no systematic reviews on their utilisation in ergonomics. Therefore, we conducted a systematic review to identify wearable devices proposed in the scientific literature for ergonomic purposes and analyse how they can support the improvement of ergonomic conditions. Twenty-eight papers were retrieved and analysed thanks to eleven comparison dimensions related to ergonomic factors, purposes, and criteria, populations, application and validation. The majority of the available devices are sensor systems composed of different types and numbers of sensors located in diverse body parts. These solutions also represent the technology most frequently employed for monitoring and reducing the risk of awkward postures. In addition, smartwatches, body-mounted smartphones, insole pressure systems, and vibrotactile feedback interfaces have been developed for evaluating and/or controlling physical loads or postures. The main results and the defined framework of analysis provide an overview of the state of the art of smart wearables in ergonomics, support the selection of the most suitable ones in industrial and non-industrial settings, and suggest future research directions.

scholarly journals Composition, Physicochemical Properties, and Uses of Acorn Starch

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Mehdi Taib ◽  
Lahboub Bouyazza
Keyword(s):  
Physicochemical Properties ◽  
Current Knowledge ◽  
Amylose Content ◽  
Dry Weight ◽  
Pasting Properties ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions ◽  
Functional Features ◽  
Further Development

The major component of acorn is starch, which may amount up to 55% of the dry weight. Lack of systematic knowledge on acorn starch greatly hinders the further development of acorns as sustainable crops. This review aims to summarize the current knowledge of the isolation, chemical composition, physicochemical properties, and uses of acorn starches and to provide future research directions. The amylose content of the acorn starches is reported to vary in the range of 20–39%. Moisture content, lipid, ash, and protein contents of the acorn starches have been reported varying from 2.20 to 15.50%, 0.23 to 2.64%, 0.01 to 1.41%, and 0.01 to 6.7%, respectively. Thermal and pasting properties that have usually been determined using differential scanning calorimeter (DSC) and rapid viscoanalyzer (RVA) are also discussed in this article. Acorn starch has great potential for various food and nonfood applications due to the unique structural and functional features.

scholarly journals SWARM INTELLIGENCE

2020 ◽  
Vol 6 (8(77)) ◽  
pp. 9-13
Author(s):  
G.B. Issayeva Issayeva ◽  
M.S. Ibraev ◽  
A.K. Koishybekova ◽  
B.R. Absatarova ◽  
A.A. Aitkazina ◽  
...  
Keyword(s):  
Swarm Intelligence ◽  
General Framework ◽  
Research Area ◽  
Future Research ◽  
Research Directions ◽  
Advantages And Disadvantages ◽  
The Past ◽  
Future Research Directions ◽  
Further Development

This report investigates this discipline that deals with natural and artificial systems. In the past few years there has been a lot of research on the application of swarm intelligence. A large number of algorithms have been used in different spheres of our life. In this paper we give an overview of this research area. We identify one of the algorithms of swarm intelligence systems and we show how it is used to solve problems. In other words, we present Bee Algorithms, a general framework in which most swarm intelligence algorithms can be placed. After that, we give an extensive solution of existing problem, discussing algorithm’s advantages and disadvantages. We conclude with an overview of future research directions that we consider important for the further development of this field.

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