Review of the Characteristics of Food-Derived and Endogenous Nɛ-Carboxymethyllysine

2013 ◽  
Vol 76 (5) ◽  
pp. 912-918 ◽  
Author(s):  
LIPENG HAN ◽  
LIN LI ◽  
BING LI ◽  
DI ZHAO ◽  
YUTING LI ◽  
...  
Keyword(s):  
Human Health ◽  
Detection Methods ◽  
Future Research ◽  
Potential Hazard ◽  
Health Food ◽  
Research Directions ◽  
Glycation End Products ◽  
Future Research Directions ◽  
Different Characteristics ◽  
Food Processes

N ɛ-Carboxymethyllysine (CML), a representative of advanced glycation end products (AGEs), is commonly found in food and is considered a potential hazard to human health. Food scientists have begun to investigate the formation of CML in food processes. As the understanding of CML is mainly based on that of endogenous CML from the fields of biology and medicine, this review summarizes the different characteristics of food-derived CML and endogenous CML with respect to food safety, detection methods, formation environment, formation mechanism, and methods for inhibiting the formation of CML. Additionally, future research directions for the study of food-derived CML are proposed, including understanding its digestion, absorption, and metabolism in human health, developing rapid, reliable, and inexpensive detection methods, revealing its relationship with food components and production processes, and controlling the formation of CML through the addition of inhibitors and/or modification of food processing conditions, so as to contribute to the methods for controlling food-derived AGEs.

scholarly journals The fragranced products phenomenon: air quality and health, science and policy

2020 ◽  
Author(s):  
Anne Steinemann
Keyword(s):  
Air Quality ◽  
Human Health ◽  
Consumer Products ◽  
Health Science ◽  
Future Research ◽  
Research Directions ◽  
Science And Policy ◽  
New Findings ◽  
Future Research Directions ◽  
Indoor And Outdoor

Abstract Fragrance is used in consumer products around the world. However, fragrance has been associated with adverse effects on indoor and outdoor air quality and human health. Questions arise, such as the following: Why does fragrance in products pose problems? What are sources of emissions and exposures? What are health and societal effects? What are possible solutions? This paper examines the issue of fragranced consumer products and its science and policy dimensions, with a focus on the implications for air quality and human health. Results include new findings and new questions for future research directions.

Deepfake videos: synthesis and detection techniques –a survey

2021 ◽  
pp. 1-21
Author(s):  
Shahela Saif ◽  
Samabia Tehseen
Keyword(s):  
Social Systems ◽  
Generative Models ◽  
Detection Methods ◽  
Future Research ◽  
Fake News ◽  
Research Directions ◽  
Detection Techniques ◽  
Future Research Directions ◽  
Video Creation ◽  
The One

Deep learning has been used in computer vision to accomplish many tasks that were previously considered too complex or resource-intensive to be feasible. One remarkable application is the creation of deepfakes. Deepfake images change or manipulate a person’s face to give a different expression or identity by using generative models. Deepfakes applied to videos can change the facial expressions in a manner to associate a different speech with a person than the one originally given. Deepfake videos pose a serious threat to legal, political, and social systems as they can destroy the integrity of a person. Research solutions are being designed for the detection of such deepfake content to preserve privacy and combat fake news. This study details the existing deepfake video creation techniques and provides an overview of the deepfake datasets that are publicly available. More importantly, we provide an overview of the deepfake detection methods, along with a discussion on the issues, challenges, and future research directions. The study aims to present an all-inclusive overview of deepfakes by providing insights into the deepfake creation techniques and the latest detection methods, facilitating the development of a robust and effective deepfake detection solution.

Marketing Orientation Embedding Internet Capability as Best Practice for Medium-Sized Global Firms

2019 ◽  
pp. 111-135
Author(s):  
Maria Giovanna Tongiani ◽  
Claudia Burchielli
Keyword(s):  
Best Practice ◽  
Global Market ◽  
Future Research ◽  
Research Directions ◽  
Marketing Orientation ◽  
The Social ◽  
Marketing Activities ◽  
Future Research Directions ◽  
Different Characteristics ◽  
The Web

Contemporary competition in the distribution sector is becoming increasingly more cut-throat and consumers have multiple channels to choose from for making their purchases, each with different characteristics and practical methods. The objective of this work is to obtain information and identify the elements that allow for highlighting the ability of the medium-sized retailers who use the web and the social media to expand their own reference markets. The information will be acquired by means of interviews with Italian and international (USA and UK) customers of a medium Italian global fashion retailer. The analyses of the results will provide useful indications concerning the marketing activities for the medium retailer firms operating in the global market. This approach is followed by future research directions and a conclusion.

scholarly journals Knowledge Graph Analysis of Human Health Research Related to Climate Change

2020 ◽  
Vol 17 (20) ◽  
pp. 7395
Author(s):  
Yating Zhao ◽  
Jingjing Guo ◽  
Chao Bao ◽  
Changyong Liang ◽  
Hemant K Jain
Keyword(s):  
Climate Change ◽  
Human Health ◽  
Future Research ◽  
Research Directions ◽  
Development Status ◽  
Future Research Directions ◽  
Knowledge Support ◽  
Using Data ◽  
Research Hotspots ◽  
Impacts Of Climate Change

In order to explore the development status, knowledge base, research hotspots, and future research directions related to the impacts of climate change on human health, a systematic bibliometric analysis of 6719 published articles from 2003 to 2018 in the Web of Science was performed. Using data analytics tools such as HistCite and CiteSpace, the time distribution, spatial distribution, citations, and research hotspots were analyzed and visualized. The analysis revealed the development status of the research on the impacts of climate change on human health and analyzed the research hotspots and future development trends in this field, providing important knowledge support for researchers in this field.

MANAGING SPORT FOR HEALTHY LIFESTYLE: A BRIEF REVIEW AND FUTURE RESEARCH DIRECTIONS

2019 ◽  
Vol 1 (2) ◽  
pp. 57-64
Author(s):  
Yudha Gusti Wibowo
Keyword(s):  
Human Health ◽  
Healthy Lifestyle ◽  
Negative Impact ◽  
Human Life ◽  
Physical Activities ◽  
Mental Health Recovery ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions ◽  
Important Activity

Background: Monotone activities and lack of physical activity are problems in recent decades. These phenomena will give negative impact for human health such as some disease. This problems can solve by sports Purpose: The purpose of this article is to find sports impact for human health. Results: Result of this study are sports can solve some disease because sports is medicine, sport can support mental health recovery and sport is physical activities for supporting healthy lifestyle Conclusion: Sports is an important activity in human life

Service Only Supply Chain

2021 ◽  
pp. 242-258
Author(s):  
Ramji Nagariya ◽  
Divesh Kumar ◽  
Ishwar Kumar ◽  
Bharat Singh Patel
Keyword(s):  
Supply Chain ◽  
Future Research ◽  
The Novel ◽  
Research Directions ◽  
Sustainable Practices ◽  
Manufacturing Supply Chain ◽  
Economic Practices ◽  
Development Goals ◽  
Future Research Directions ◽  
Different Characteristics

Broadly, the sustainable practices for the manufacturing supply chain are considered as environmental, social, and economic practices. But due to different characteristics of services, the above-mentioned sustainable practices are necessary. Beyond these practices, some other novel practices are necessary for the service context. This chapter discusses the novel sustainable practices for the service only supply chain (SOSC). The discussed sustainable practices will enhance the understanding of sustainable practices in SOSC context. How these practices will help the organizations in achieving sustainable development goals will also be discussed. Potential future research directions are also provided.

scholarly journals Methods of Detecting Insufficient Effort Responding: Comparisons and Practical Recommendations

2019 ◽  
Vol 80 (2) ◽  
pp. 312-345 ◽  
Author(s):  
Maxwell Hong ◽  
Jeffrey T. Steedle ◽  
Ying Cheng
Keyword(s):  
Psychometric Properties ◽  
Detection Methods ◽  
Future Research ◽  
Validity And Reliability ◽  
Multiple Sources ◽  
Research Directions ◽  
Different Types ◽  
Future Research Directions ◽  
Biased Responding ◽  
Practical Recommendations

Insufficient effort responding (IER) affects many forms of assessment in both educational and psychological contexts. Much research has examined different types of IER, IER’s impact on the psychometric properties of test scores, and preprocessing procedures used to detect IER. However, there is a gap in the literature in terms of practical advice for applied researchers and psychometricians when evaluating multiple sources of IER evidence, including the best strategy or combination of strategies when preprocessing data. In this study, we demonstrate how the use of different IER detection methods may affect psychometric properties such as predictive validity and reliability. Moreover, we evaluate how different data cleansing procedures can detect different types of IER. We provide evidence via simulation studies and applied analysis using the ACT’s Engage assessment as a motivating example. Based on the findings of the study, we provide recommendations and future research directions for those who suspect their data may contain responses reflecting careless, random, or biased responding.

The Exposome in the Era of the Quantified Self

2021 ◽  
Vol 4 (1) ◽  
pp. 255-277
Author(s):  
Xinyue Zhang ◽  
Peng Gao ◽  
Michael P. Snyder
Keyword(s):  
High Resolution ◽  
Human Health ◽  
Future Research ◽  
Quantified Self ◽  
Research Directions ◽  
Complex Interactions ◽  
Health And Disease ◽  
Future Research Directions ◽  
Physical Exposures ◽  
External Exposures

Human health is regulated by complex interactions among the genome, the microbiome, and the environment. While extensive research has been conducted on the human genome and microbiome, little is known about the human exposome. The exposome comprises the totality of chemical, biological, and physical exposures that individuals encounter over their lifetimes. Traditional environmental and biological monitoring only targets specific substances, whereas exposomic approaches identify and quantify thousands of substances simultaneously using nontargeted high-throughput and high-resolution analyses. The quantified self (QS) aims at enhancing our understanding of human health and disease through self-tracking. QS measurements are critical in exposome research, as external exposures impact an individual's health, behavior, and biology. This review discusses both the achievements and the shortcomings of current research and methodologies on the QS and the exposome and proposes future research directions.

Organizational Characteristics and Engagement in Open Innovation: Is There a Link?

2018 ◽  
Vol 19 (3_suppl) ◽  
pp. S1-S20 ◽  
Author(s):  
M. Muzamil Naqshbandi
Keyword(s):  
Market Orientation ◽  
Ownership Structure ◽  
Open Innovation ◽  
Theory And Practice ◽  
Future Research ◽  
High Tech ◽  
Research Directions ◽  
Future Research Directions ◽  
Different Characteristics ◽  
Shed Light

This study explores whether or not firms with different characteristics engage in open innovation (OI) differently. The aim specifically is to examine how firms differ in engaging in inbound and outbound OI based on their characteristics: type of industry, age, market orientation, firm ownership, size in terms of number of employees and annual revenue. Data were collected from 133 firms operating in various high-tech industries in Malaysia. Results obtained using several one-way analysis of variance (ANOVA) tests show that a firm’s engagement in OI is a function of the type of industry the firm is operating in, its ownership structure and its size in terms of number of employees and revenue earned. However, engagement in OI was not found to be related to firms’ age or their market orientation. These findings shed light on the characteristics of firms that engage in OI more than others, thus having vital implications for theory and practice. The article presents a discussion of these findings along with limitations and future research directions.

scholarly journals Internet of Things Botnet Detection Approaches: Analysis and Recommendations for Future Research

2021 ◽  
Vol 11 (12) ◽  
pp. 5713
Author(s):  
Majda Wazzan ◽  
Daniyal Algazzawi ◽  
Omaima Bamasaq ◽  
Aiiad Albeshri ◽  
Li Cheng
Keyword(s):  
Internet Of Things ◽  
Detection Methods ◽  
Future Research ◽  
Research Papers ◽  
Botnet Detection ◽  
Research Directions ◽  
Malicious Activity ◽  
Research Procedure ◽  
Future Research Directions ◽  
Iot Devices

Internet of Things (IoT) is promising technology that brings tremendous benefits if used optimally. At the same time, it has resulted in an increase in cybersecurity risks due to the lack of security for IoT devices. IoT botnets, for instance, have become a critical threat; however, systematic and comprehensive studies analyzing the importance of botnet detection methods are limited in the IoT environment. Thus, this study aimed to identify, assess and provide a thoroughly review of experimental works on the research relevant to the detection of IoT botnets. To accomplish this goal, a systematic literature review (SLR), an effective method, was applied for gathering and critically reviewing research papers. This work employed three research questions on the detection methods used to detect IoT botnets, the botnet phases and the different malicious activity scenarios. The authors analyzed the nominated research and the key methods related to them. The detection methods have been classified based on the techniques used, and the authors investigated the botnet phases during which detection is accomplished. This research procedure was used to create a source of foundational knowledge of IoT botnet detection methods. As a result of this study, the authors analyzed the current research gaps and suggest future research directions.

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