scholarly journals Green potential ofPleurotusspp. in biotechnology

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6664 ◽  
Author(s):  
Alona S. Sekan ◽  
Olena S. Myronycheva ◽  
Olov Karlsson ◽  
Andrii P. Gryganskyi ◽  
Yaroslave B. Blume
Keyword(s):  
Low Cost ◽  
Waste Recycling ◽  
Green Technology ◽  
Future Research ◽  
Fungal Culture ◽  
Literature Study ◽  
Organic Solid ◽  
Xylotrophic Fungi ◽  
Green Potential ◽  
Environmental Technologies

BackgroundThe genusPleurotusis most exploitable xylotrophic fungi, with valuable biotechnological, medical, and nutritional properties. The relevant features of the representatives of this genus to provide attractive low-cost industrial tools have been reported in numerous studies to resolve the pressure of ecological issues. Additionally, a number ofPleurotusspecies are highly adaptive, do not require any special conditions for growth, and possess specific resistance to contaminating diseases and pests. The unique properties ofPleurotusspecies widely used in many environmental technologies, such as organic solid waste recycling, chemical pollutant degradation, and bioethanol production.MethodologyThe literature study encompasses peer-reviewed journals identified by systematic searches of electronic databases such as Google Scholar, NCBI, Springer, ResearchGate, ScienceDirect, and ISI Web of Knowledge. The search scheme was divided into several steps, as described below.ResultsIn this review, we describe studies examining the biotechnological feasibility ofPleurotusspp. to elucidate the importance of this genus for use in green technology. Here, we review areas of application of the genusPleurotusas a prospective biotechnological tool.ConclusionThe incomplete description of some fungal biochemical pathways emphasises the future research goals for this fungal culture.

Bamboo Waste-based Bio-composite Substance: An application for Low-cost Construction Materials

2020 ◽  
Vol 4 (1) ◽  
pp. 41-48
Author(s):  
Teodoro Astorga Amatosa ◽  
Michael E. Loretero
Keyword(s):  
Composite Materials ◽  
Sea Water ◽  
Raw Materials ◽  
Low Cost ◽  
Construction Materials ◽  
Single Layer ◽  
High Strength ◽  
Green Technology ◽  
Experimental Medium ◽  
Natural Treatment

Bamboo is a lightweight and high-strength raw materials that encouraged researchers to investigate and explore, especially in the field of biocomposite and declared as one of the green-technology on the environment as fully accountable as eco-products. This research was to assess the technical feasibility of making single-layer experimental Medium-Density Particleboard panels from the bamboo waste of a three-year-old (Dendrocalamus asper). Waste materials were performed to produce composite materials using epoxy resin (C21H25C105) from a natural treatment by soaking with an average of pH 7.6 level of sea-water. Three different types of MDP produced, i.e., bamboo waste strip MDP (SMDP), bamboo waste chips MDP (CMDP) and bamboo waste mixed strip-chips MDP (MMDP) by following the same process. The experimental panels tested for their physical-mechanical properties according to the procedures defined by ASTM D1037-12. Conclusively, even the present study shows properties of MDP with higher and comparable to other composite materials; further research must be given better attention as potential substitute to be used as hardwood materials, especially in the production, design, and construction usage.

Motivating Compliance: Firm Response to Mandatory Disclosure Policies

2018 ◽  
Vol 32 (2) ◽  
pp. 103-119
Author(s):  
Colleen M. Boland ◽  
Chris E. Hogan ◽  
Marilyn F. Johnson
Keyword(s):  
Conflict Of Interest ◽  
Low Cost ◽  
Cost Effective ◽  
Data Availability ◽  
Policy Adoption ◽  
Future Research ◽  
Regulated Firms ◽  
Firm Response ◽  
Disclosure Rules ◽  
The Impact

SYNOPSIS Mandatory existence disclosure rules require an organization to disclose a policy's existence, but not its content. We examine policy adoption frequencies in the year immediately after the IRS required mandatory existence disclosure by nonprofits of various governance policies. We also examine adoption frequencies in the year of the subsequent change from mandatory existence disclosure to a disclose-and-explain regime that required supplemental disclosures about the content and implementation of conflict of interest policies. Our results suggest that in areas where there is unclear regulatory authority, mandatory existence disclosure is an effective and low cost regulatory device for encouraging the adoption of policies desired by regulators, provided those policies are cost-effective for regulated firms to implement. In addition, we find that disclose-and-explain regulatory regimes provide stronger incentives for policy adoption than do mandatory existence disclosure regimes and also discourage “check the box” behavior. Future research should examine the impact of mandatory existence disclosure rules in the year that the regulation is implemented. Data Availability: Data are available from sources cited in the text.

scholarly journals A Survey on Deep Learning Based Methods and Datasets for Monocular 3D Object Detection

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 517
Author(s):  
Seong-heum Kim ◽  
Youngbae Hwang
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
Low Cost ◽  
Detection Methods ◽  
Future Research ◽  
3D Object ◽  
Practical Applications ◽  
Depth Sensors ◽  
Significant Research ◽  
3D Object Detection

Owing to recent advancements in deep learning methods and relevant databases, it is becoming increasingly easier to recognize 3D objects using only RGB images from single viewpoints. This study investigates the major breakthroughs and current progress in deep learning-based monocular 3D object detection. For relatively low-cost data acquisition systems without depth sensors or cameras at multiple viewpoints, we first consider existing databases with 2D RGB photos and their relevant attributes. Based on this simple sensor modality for practical applications, deep learning-based monocular 3D object detection methods that overcome significant research challenges are categorized and summarized. We present the key concepts and detailed descriptions of representative single-stage and multiple-stage detection solutions. In addition, we discuss the effectiveness of the detection models on their baseline benchmarks. Finally, we explore several directions for future research on monocular 3D object detection.

scholarly journals Low-temperature-processed metal oxide electron transport layers for efficient planar perovskite solar cells

Rare Metals ◽  
2021 ◽  
Author(s):  
Jia-Xing Song ◽  
Xin-Xing Yin ◽  
Zai-Fang Li ◽  
Yao-Wen Li
Keyword(s):  
Solar Cells ◽  
Electron Transport ◽  
Low Temperature ◽  
Metal Oxide ◽  
Low Cost ◽  
Perovskite Solar Cells ◽  
Transport Layer ◽  
Electron Transport Layer ◽  
Future Research ◽  
Low Temperature Preparation

Abstract As a promising photovoltaic technology, perovskite solar cells (pero-SCs) have developed rapidly over the past few years and the highest power conversion efficiency is beyond 25%. Nowadays, the planar structure is universally popular in pero-SCs due to the simple processing technology and low-temperature preparation. Electron transport layer (ETL) is verified to play a vital role in the device performance of planar pero-SCs. Particularly, the metal oxide (MO) ETL with low-cost, superb versatility, and excellent optoelectronic properties has been widely studied. This review mainly focuses on recent developments in the use of low-temperature-processed MO ETLs for planar pero-SCs. The optical and electronic properties of widely used MO materials of TiO2, ZnO, and SnO2, as well as the optimizations of these MO ETLs are briefly introduced. The commonly used methods for depositing MO ETLs are also discussed. Then, the applications of different MO ETLs on pero-SCs are reviewed. Finally, the challenge and future research of MO-based ETLs toward practical application of efficient planar pero-SCs are proposed. Graphical abstract

scholarly journals Review of Electrochemical DNA Biosensors for Detecting Food Borne Pathogens

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4916 ◽  
Author(s):  
Qiaoyun Wu ◽  
Yunzhe Zhang ◽  
Qian Yang ◽  
Ning Yuan ◽  
Wei Zhang
Keyword(s):  
Pathogen Detection ◽  
Low Cost ◽  
Electrochemical Techniques ◽  
Ease Of Use ◽  
Detection Methods ◽  
Future Research ◽  
Dna Biosensors ◽  
Food Borne Pathogens ◽  
Chip Technology ◽  
Food Borne

The vital importance of rapid and accurate detection of food borne pathogens has driven the development of biosensor to prevent food borne illness outbreaks. Electrochemical DNA biosensors offer such merits as rapid response, high sensitivity, low cost, and ease of use. This review covers the following three aspects: food borne pathogens and conventional detection methods, the design and fabrication of electrochemical DNA biosensors and several techniques for improving sensitivity of biosensors. We highlight the main bioreceptors and immobilizing methods on sensing interface, electrochemical techniques, electrochemical indicators, nanotechnology, and nucleic acid-based amplification. Finally, in view of the existing shortcomings of electrochemical DNA biosensors in the field of food borne pathogen detection, we also predict and prospect future research focuses from the following five aspects: specific bioreceptors (improving specificity), nanomaterials (enhancing sensitivity), microfluidic chip technology (realizing automate operation), paper-based biosensors (reducing detection cost), and smartphones or other mobile devices (simplifying signal reading devices).

A Critical Review of the Biological Processes in the Chemical Absorption-biological Reduction Integrated System for NO Removal

2021 ◽  
Vol 07 ◽  
Author(s):  
Wei Li
Keyword(s):  
Catalytic Reduction ◽  
Low Cost ◽  
Reduction Process ◽  
Integrated System ◽  
Future Research ◽  
Small Scale ◽  
Biological Processes ◽  
Chemical Absorption ◽  
Biological Reduction ◽  
Biological Reaction

: Exploring low-cost, green and safe technologies to provide an alternative to the conventional selective catalytic reduction process is key to the control of NOx emitted from small-scale boilers and other industrial processes. To meet the demand, the chemical absorption-biological reduction integrated system has been developing recently. chemical absorption-biological reduction integrated system applies Fe(II)EDTA for NO absorption and iron-reducing and denitrifying bacteria for absorbent regeneration. Many studies have focused on the enhancements of mass transfer and biological reaction, among which the biological processes were the rate-limiting steps. This review summarizes the current researches on the biological processes in the CABR system, which focuses on the mechanism and enhancement of biochemical reactions, and provides the possible directions of future research.

Using structural equation modelling to assess the sustainable competitive advantages provided by the low-cost carrier model

2018 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vedant Singh ◽  
S. Vaibhav ◽  
Somesh Kr. Sharma
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Low Cost ◽  
Future Research ◽  
Competitive Advantages ◽  
Content Type ◽  
Equation Modelling ◽  
Five Factors ◽  
Sustainable Competitive Advantages

PurposeThe purpose of this study is to examine the relationships between the dimensions of sustainable competitive advantages in the Indian low cost airlines.Design/methodology/approachThis study used structural equation modelling methods to identify the factors that significantly affect the sustainable competitive advantages enjoyed by Indian low-cost carriers (LCCs). Specifically, this study is based on the data from 208 airline experts that populate multiple structural equation models.FindingsResults indicate that indigenous efficiency, the LCCs perceptions of threat, dexterity, strategic persuasion and the LCC adopting an enabling role positively affect LCCs’ competitive advantages. These five factors were all correlated with each other. The results also show that relative to an LCC’s dexterity, indigenous efficiency is a stronger predictor of an LCC’s competitive advantages.Originality/valueThis study provides low-cost airlines with valuable information for designing effective strategies for obtaining competitive advantages in the LCC sector. To conclude the paper, the authors offer practical recommendations for managers and suggest some avenues for future research in this area.

scholarly journals Biological Bases of Beauty Revisited: The Effect of Symmetry, Averageness, and Sexual Dimorphism on Female Facial Attractiveness

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 279 ◽  
Author(s):  
Alex L. Jones ◽  
Bastian Jaeger
Keyword(s):  
Sexual Dimorphism ◽  
Learning Algorithm ◽  
Facial Attractiveness ◽  
Choice Task ◽  
Future Research ◽  
Human Female ◽  
Literature Study ◽  
Skin Texture ◽  
Femininity And Masculinity ◽  
Forced Choice Task

The factors influencing human female facial attractiveness—symmetry, averageness, and sexual dimorphism—have been extensively studied. However, recent studies, using improved methodologies, have called into question their evolutionary utility and links with life history. The current studies use a range of approaches to quantify how important these factors actually are in perceiving attractiveness, through the use of novel statistical analyses and by addressing methodological weaknesses in the literature. Study One examines how manipulations of symmetry, averageness, femininity, and masculinity affect attractiveness using a two-alternative forced choice task, finding that increased masculinity and also femininity decrease attractiveness, compared to unmanipulated faces. Symmetry and averageness yielded a small and large effect, respectively. Study Two utilises a naturalistic ratings paradigm, finding similar effects of averageness and masculinity as Study One but no effects of symmetry and femininity on attractiveness. Study Three applies geometric face measurements of the factors and a random forest machine learning algorithm to predict perceived attractiveness, finding that shape averageness, dimorphism, and skin texture symmetry are useful features capable of relatively accurate predictions, while shape symmetry is uninformative. However, the factors do not explain as much variance in attractiveness as the literature suggests. The implications for future research on attractiveness are discussed.

scholarly journals INTEREST-FREE FINANCING IN AGRO-INDUSTRY: CONCEPTS, THEORIES, METHODS AND RESEARCH GAPS

2021 ◽  
Vol 9 (03) ◽  
pp. 84-94
Author(s):  
Kiki Yulianto ◽  
◽  
Sukardi a ◽  
Nastiti Siswi Indrasti ◽  
Sapta Raharja ◽  
...  
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
State Of The Art ◽  
Secondary Data ◽  
Future Research ◽  
Literature Study ◽  
Research Gaps ◽  
The Road ◽  
Road Map ◽  
Conference Papers

Interest-free financing in agro-industry is an exciting topic that has been developed by many researchers, but there is no clarity regarding the road map for future research. Therefore, formulations such as concepts, theories, methods, and research gaps, focusing on interest-free financing in agro-industry, are essential. This literature study was conducted using a systematic literature review method. The data used are secondary data from textbooks, theses/dissertations, conference papers, journals, scientific articles, and working papers. This study resulted in the formulation of the theory, concepts, and methods studied in the form of an explanation of 8 sub-topics of research gaps supported by references and explanations of state of the art. They are making it easier for researchers who have the same interest in developing and looking for novelties with the topic of interest-free financing research in the agro-industry.

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