scholarly journals Recent Progress in Manufacturing Techniques of Printed and Flexible Sensors: A Review

Biosensors ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 199
Author(s):  
Dinesh Maddipatla ◽  
Binu B. Narakathu ◽  
Massood Atashbar
Keyword(s):  
Recent Progress ◽  
Research Work ◽  
Materials Characterization ◽  
Characterization Methods ◽  
Flexible Sensors ◽  
Significant Research ◽  
Printed Sensors ◽  
Manufacturing Techniques ◽  
Work Done

This review provides an outlook on some of the significant research work done on printed and flexible sensors. Printed sensors fabricated on flexible platforms such as paper, plastic and textiles have been implemented for wearable applications in the biomedical, defense, food, and environmental industries. This review discusses the materials, characterization methods, and fabrication methods implemented for the development of the printed and flexible sensors. The applications, challenges faced and future opportunities for the printed and flexible sensors are also presented in this review.

scholarly journals Exploring of Classification Methods for Early Detection of Alzheimer’s Disease

2019 ◽  
Vol 8 (6) ◽  
pp. 5206-5211
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Learning Strategies ◽  
Early Stage ◽  
Research Work ◽  
Past Century ◽  
Classification Methods ◽  
The Past ◽  
Significant Research ◽  
Work Done

Alzheimer's disease (AD) is a degenerative brain disease, a common health problem in elderly pesople which causes decline in memory and affected on nerve cells. AD has different stages like mild congestive impairment (MIC) (early stage), moderate (middle stage), severe (late stage) it is essential to detect AD early in MIC, so that pre-emptive measures can be taken. Significant research was carried out over the past century to diagnose and detect this disease early. The objective of the article is provide a review evaluation and critical analysis of the recent research work done to early diagnosis of AD using Machine Learning Strategies.

scholarly journals Recent Progress in 3D Printed Mold-Based Sensors

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 703 ◽  
Author(s):  
Shan He ◽  
Shilun Feng ◽  
Anindya Nag ◽  
Nasrin Afsarimanesh ◽  
Tao Han ◽  
...  
Keyword(s):  
3D Printing ◽  
Recent Progress ◽  
Raw Materials ◽  
Electronic Waste ◽  
Market Survey ◽  
Sensors And Actuators ◽  
Significant Research ◽  
Printed Sensors ◽  
3D Printed ◽  
Different Parts

The paper presents a review of some of the significant research done on 3D printed mold-based sensors performed in recent times. The utilization of the master molds to fabricate the different parts of the sensing prototypes have been followed for quite some time due to certain distinct advantages. Some of them are easy template preparation, easy customization of the developed products, quick fabrication, and minimized electronic waste. The paper explains the different kinds of sensors and actuators that have been developed using this technique, based on their varied structural dimensions, processed raw materials, designing, and product testing. These differences in the attributes were based on their individualistic application. Furthermore, some of the challenges related to the existing sensors and their possible respective solutions have also been mentioned in the paper. Finally, a market survey has been provided, stating the estimated increase in the annual growth of 3D printed sensors. It also states the type of 3D printing that has been preferred over the years, along with the range of sensors, and their related applications.

Impact of Chatbot in Transforming the Face of Retailing- An Empirical Model of Antecedents and Outcomes

2019 ◽  
Vol 12 ◽  
Author(s):  
Kumari Anshu ◽  
Loveleen Gaur ◽  
Arun Solanki
Keyword(s):  
Research Work ◽  
Shopping Behavior ◽  
Model Framework ◽  
Shopping Experience ◽  
The Face ◽  
Strongly Agree ◽  
Different Characteristics ◽  
Work Done ◽  
The Impact ◽  
Self Administered Questionnaire

Chatbot has emerged as a significant resolution to the swiftly growing customer caredemands in recent times. Chatbot has emerged as one of the biggest technological disruption. Simply speaking, it is a software agent facilitating interaction between computers and humans in natural language. So basically, it is a simulated, intellectual dialogue agent functional in a range of consumer engagement circumstances. It is the easiest and simplest means enable interaction between the retailers and the customers. </p><p> • Purpose- Most of the research work done in this field is concerned with their technical aspects. The recent research on chatbot pay little attention to the impact it is creating on users’ experience. Through this work, author is making an effort to know the customer-oriented impact that the chatbot bear on the shoppers. The purpose of this study is to develop and empirically test a framework that identify the customer oriented attributes of chatbot and impact of these attributes on customers. </p><p> • Objectives- The study intends to bridge the gap between concepts and actual attributes and applications on the subject of Chatbot. The following research objectives can address the various aspects of Chatbot affecting the different characteristics of consumers shopping behaviors: a) Identify the various attributes of chatbot that bears an impression on consumer shopping behavior. b) Evaluate the impact of chatbot on consumer shopping behavior that leads to the development of chatbot usage and adoption among the customer. </p><p> • Design/Methodology/Approach – For the purpose of analysis, author has administered Factor analysis and Multiple regression using SPSS version 23 for identification of various attributes of Chatbot and knowing their impact on shoppers. A self-administered questionnaire from the review of literature is developed. Industry experts in the field of retailing and academician evaluate the questionnaire. Primary information from the respondents is gathered using this questionnaire. The questionnaire comprises of Likert scale on a scale of 1 to 5 where 1 stands for strongly disagree and 5 stands for strongly agree. Data is collected from 126 respondents, out of which 111 respondents were finally considered for study and analysis purpose. </p><p> • Findings – The empirical results show that the study identifies various attributes of chatbot like Trust, Usefulness, Satisfaction, Readiness to Use and Accessibility. It is also found that chatbot is really influencing the customers in providing them with shopping experience, which can be very helpful to the businesses for increasing the sales and creating repurchase intention among the customers. </p><p> • Originality/value – The recent research on chatbot pay little attention to the impact it is creating on customers who are actually interacting with it on regular basis. The research paper extends information for understanding and appreciating the customer oriented attributes of artificially intelligent Chatbot. In this regard, the author has developed a model framework and proposed the attributes identified. Through the work, author is also making an effort to test empirically the impact of the identified attributes on the shoppers.

scholarly journals LiNbO3Coating on Concrete Surface: A New and Environmentally Friendly Route for Artificial Photosynthesis

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Ranjit K. Nath ◽  
M. F. M. Zain ◽  
Abdul Amir H. Kadhum
Keyword(s):  
Building Materials ◽  
Artificial Photosynthesis ◽  
Reaction Pathway ◽  
Research Work ◽  
Pollution Prevention ◽  
Environmentally Friendly ◽  
Concrete Surface ◽  
Concrete Material ◽  
Gas Phases ◽  
Work Done

The addition of a photocatalyst to ordinary building materials such as concrete creates environmentally friendly materials by which air pollution or pollution of the surface can be diminished. The use of LiNbO3photocatalyst in concrete material would be more beneficial since it can produce artificial photosynthesis in concrete. In these research photoassisted solid-gas phases reduction of carbon dioxide (artificial photosynthesis) was performed using a photocatalyst, LiNbO3, coated on concrete surface under illumination of UV-visible or sunlight and showed that LiNbO3achieved high conversion of CO2into products despite the low levels of band-gap light available. The high reaction efficiency of LiNbO3is explained by its strong remnant polarization (70 µC/cm2), allowing a longer lifetime of photoinduced carriers as well as an alternative reaction pathway. Due to the ease of usage and good photocatalytic efficiency, the research work done showed its potential application in pollution prevention.

scholarly journals 3D Printed Chromophoric Sensors

Chemosensors ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 317
Author(s):  
Zachary Brounstein ◽  
Jarrod Ronquillo ◽  
Andrea Labouriau
Keyword(s):  
Thermal Stability ◽  
3D Printing ◽  
Material Properties ◽  
Chemical Structure ◽  
Elevated Temperatures ◽  
Advanced Manufacturing ◽  
Color Changes ◽  
Printed Sensors ◽  
3D Printed ◽  
Manufacturing Techniques

Eight chromophoric indicators are incorporated into Sylgard 184 to develop sensors that are fabricated either by traditional methods such as casting or by more advanced manufacturing techniques such as 3D printing. The sensors exhibit specific color changes when exposed to acidic species, basic species, or elevated temperatures. Additionally, material properties are investigated to assess the chemical structure, Shore A Hardness, and thermal stability. Comparisons between the casted and 3D printed sensors show that the sensing devices fabricated with the advanced manufacturing technique are more efficient because the color changes are more easily detected.

scholarly journals The Neurotransmitters Involved in Drosophila Alcohol-Induced Behaviors

2020 ◽  
Vol 14 ◽  
Author(s):  
Maggie M. Chvilicek ◽  
Iris Titos ◽  
Adrian Rothenfluh
Keyword(s):  
Drosophila Melanogaster ◽  
Behavioral Response ◽  
Recent Progress ◽  
Mammalian Species ◽  
Health And Safety ◽  
Model Organisms ◽  
Negative Consequences ◽  
Behavioral Repertoire ◽  
Significant Research ◽  
Alcohol Response

Alcohol is a widely used and abused substance with numerous negative consequences for human health and safety. Historically, alcohol's widespread, non-specific neurobiological effects have made it a challenge to study in humans. Therefore, model organisms are a critical tool for unraveling the mechanisms of alcohol action and subsequent effects on behavior. Drosophila melanogaster is genetically tractable and displays a vast behavioral repertoire, making it a particularly good candidate for examining the neurobiology of alcohol responses. In addition to being experimentally amenable, Drosophila have high face and mechanistic validity: their alcohol-related behaviors are remarkably consistent with humans and other mammalian species, and they share numerous conserved neurotransmitters and signaling pathways. Flies have a long history in alcohol research, which has been enhanced in recent years by the development of tools that allow for manipulating individual Drosophila neurotransmitters. Through advancements such as the GAL4/UAS system and CRISPR/Cas9 mutagenesis, investigation of specific neurotransmitters in small subsets of neurons has become ever more achievable. In this review, we describe recent progress in understanding the contribution of seven neurotransmitters to fly behavior, focusing on their roles in alcohol response: dopamine, octopamine, tyramine, serotonin, glutamate, GABA, and acetylcholine. We chose these small-molecule neurotransmitters due to their conservation in mammals and their importance for behavior. While neurotransmitters like dopamine and octopamine have received significant research emphasis regarding their contributions to behavior, others, like glutamate, GABA, and acetylcholine, remain relatively unexplored. Here, we summarize recent genetic and behavioral findings concerning these seven neurotransmitters and their roles in the behavioral response to alcohol, highlighting the fitness of the fly as a model for human alcohol use.

scholarly journals Survey on queueing models with standbys support

2018 ◽  
Vol 28 (1) ◽  
pp. 3-20 ◽  
Author(s):  
Sreekanth Kolledath ◽  
Kamlesh Kumar ◽  
Sarita Pippal
Keyword(s):  
Research Work ◽  
Real Life ◽  
Real System ◽  
Queueing Models ◽  
Valuable Insight ◽  
Present Survey ◽  
Survey Article ◽  
Work Done ◽  
Interesting Area ◽  
Modelling System

This paper is a survey article on queueing models with standbys support. Due to many real life applications of queueing models, it has become an interesting area for researchers and a lot of research work has been exerted so far. It is worthwhile to examine the performance based analysis for queueing modelling system as it provides a valuable insight to the tractability of the system and accelerates its efficiency. The provision of standbys to the queueing modelling of a real system is needed for smooth functioning in the presence of its unavoidable failures. The present survey provides a dig into the research work done, and emphasis the sequential developments on queueing models with standbys support.

scholarly journals Contributions from Taoist Stories to the Ecological-Spiritual Crisis of Contemporary Mankind

Hallazgos ◽  
2012 ◽  
Vol 9 (18) ◽  
Author(s):  
José Arlés Gómez Arévalo
Keyword(s):  
Research Work ◽  
Far East ◽  
Eastern Culture ◽  
Third Phase ◽  
Starting Point ◽  
Science And Culture ◽  
Eastern Cultures ◽  
The Ancient Chinese ◽  
Far Eastern ◽  
Work Done

This article presents the results of work done by the research group Science- Spirituality, whose third phase is called The Concept of Natural Harmony in Regards to the Man-nature Relationship: A Dialogue between Western and Eastern Cultures. This phase is an attempt to borrow from emerging Western epistemologies together with Far East traditions,<br />primarily the ancient Chinese Taoist tradition. Taking as a starting point the contemporary mankind crisis which has been proclaimed by philosophy, science and culture and regarding that which thinkers and scientists alike, such as Husserl and Prigogine have concluded, the limitations of modern-thinking are highlighted and a thorough revision of this thinking has been proposed. This revision must be done based on<br />the sense of humanity and on the dialogue between sciences and other cultures. In this case: Far Eastern culture.<br />This research work is built upon the idea of examining our perception concerning Taoist culture, assuming that this culture is reflected in its narratives and fables and that they offer an opportunity to gain new insights and meanings regarding the world and some of the issues faced by contemporary humankind. Thus, the category crisis becomes particularly<br />important since it is understood as a challenge or opportunity in an increasingly globalized and technology-oriented world marked by problems such as inequality, exclusion, paradoxes and the contradictions of the human being, including himself, others and furthermore a permanent critical relationship to nature from which he or she has been disconnected<br />in a physical, spiritual and energetic way (Guenon, 2010, 34).

scholarly journals Automated Storey Separation and Door and Window Extraction for Building Models from Complete Laser Scans

2021 ◽  
Vol 13 (17) ◽  
pp. 3384
Author(s):  
Kate Pexman ◽  
Derek D. Lichti ◽  
Peter Dawson
Keyword(s):  
Building Design ◽  
Point Clouds ◽  
Heritage Sites ◽  
Building Models ◽  
Significant Research ◽  
Heritage Buildings ◽  
Floor Plans ◽  
Multi Level ◽  
Dimensional Errors ◽  
Work Done

Heritage buildings are often lost without being adequately documented. Significant research has gone into automated building modelling from point clouds, challenged by irregularities in building design and the presence of occlusion-causing clutter and non-Manhattan World features. Previous work has been largely focused on the extraction and representation of walls, floors, and ceilings from either interior or exterior single storey scans. Significantly less effort has been concentrated on the automated extraction of smaller features such as windows and doors from complete (interior and exterior) scans. In addition, the majority of the work done on automated building reconstruction pertains to the new-build and construction industries, rather than for heritage buildings. This work presents a novel multi-level storey separation technique as well as a novel door and window detection strategy within an end-to-end modelling software for the automated creation of 2D floor plans and 3D building models from complete terrestrial laser scans of heritage buildings. The methods are demonstrated on three heritage sites of varying size and complexity, achieving overall accuracies of 94.74% for multi-level storey separation and 92.75% for the building model creation. Additionally, the automated door and window detection methodology achieved absolute mean dimensional errors of 6.3 cm.

An I4.0 Review on Lean Green and Six Sigma Based on Energy Parameter

2021 ◽  
Vol 12 (3) ◽  
pp. 30-46
Author(s):  
Neha Verma ◽  
Vinay Sharma
Keyword(s):  
Six Sigma ◽  
Industry 4.0 ◽  
Research Work ◽  
Energy Parameter ◽  
Industrial Wastes ◽  
Environmental Practices ◽  
Lean And Green ◽  
Micro Level ◽  
Manufacturing Techniques

There is a corresponding and complementary relationship among the three manufacturing techniques/processes—lean, green, and six-sigma—in premise of Industry 4.0. The three manufacturing techniques assist the managers for big data analysis of industrial wastes/byproducts and its corresponding influences over industries. The practiced manufacturing techniques are functioning for managing and controlling wastes, operations, and quality of product, respectively. It is perceived that lean especially focus is to recognize the several wastes, produced by miscellaneous organizational practices in premise of Industry 4.0. On the other hand, green assists the managers to map the environmental practices/consequences. The present research focuses attention on ‘greening' through life cycle assessment to fill this gap and to assess the environmental impacts of the generated waste. Nevertheless, lean and green when conjoined become enabling to identify the waste and evaluate environmental impact but both encompass no motive to reduce the enhanced quality of product and reducing micro level wastes. Six-sigma is exhibited as the preeminent methods in order to overcome the determined gaps in present research work.

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