by Robert E White

Received: 21 July 2022;  Published: 10 October 2022;  doi: 10.21926/aeer.2204039

Australia’s greenhouse gas emissions from agriculture in 2020 were 67.8 million (M) tonnes (t) of carbon dioxide equivalent (CO2-e), amounting to 12.9% of total emissions. Erupted methane (CH4) from ruminant animals comprised 42% of agricultural emissions. By 2030, the Australian Government aims to reduce total emissions by 43% from the 2005 level. The primary policy instrument for achieving this reduction is the Emissions Reduction Fund (ERF) in which there are two main pathways for agriculture – emiss [...]

by OBM Geriatrics Editorial Office

Received: 09 October 2022;  Published: 09 October 2022;  doi: 10.21926/obm.geriatr.2204207

Open AccessOBM GeriatricsInterviewAn Interview with Dr. David G. SmithardOBM Geriatrics Editorial OfficeLIDSEN Publishing Inc., 2000 Auburn Drive, One Chagrin Highlands, Suite 200, Beachwood, OH, USA; E-Mail: geriatrics@lidsen.comOBM Geriatrics 2022, volume 6, issue 4 doi:10.21926/obm.geriatr.2204207Received: October 09, 2022Accepted: October 09, 2022Published: October 09, 2022

by Nasim Foroughi  , Laura Douglass  , Caroline A. Smith  and Phillipa Hay

Received: 11 July 2022;  Published: 09 October 2022;  doi: 10.21926/obm.icm.2204047

Depression and mental health-related issues are increasingly prevalent in young adolescents and adults and so is the use of Complementary Therapies (CTs) to treat depression. Systematic reviews have found that, of all CTs, acupuncture, exercise, and the herbal remedy St John’s Wort have the greatest amount of evidence for efficacy in treating depression. We aimed to assess Mental Health Literacy (MHL) levels in the treatment of depression and Complementary Therapy’s (CT) usage in adolescents and adults. Surveys wer [...]

by Lie Zhang  , Reza D. Fakhrabadi  , Maryam Khoshkhoo  and Husien Salama

Received: 29 December 2021;  Published: 09 October 2022;  doi: 10.21926/jept.2204031

Integrating large-scale wind energy in modern power systems necessitates high-efficiency mathematical models to address classical assumptions in power systems. In particular, two main assumptions for wind energy integration in power systems have not been adequately studied. First, nonlinear AC power flow equations have been linearized in most of the literature. Such simplifications can lead to inaccurate power flow calculations and result in technical issues. Second, wind power uncertainties are inevitable and have [...]

by JeongChul HEO  and Sumi HAN

Received: 15 June 2022;  Published: 08 October 2022;  doi: 10.21926/obm.neurobiol.2204141

This study aimed to verify whether self-directed learning readiness (SDLR) level can be significantly predicted by the literacy of learning management system (LLMS), motivation, and feedback interaction (FI) in non–face-to-face educational settings. We performed Pearson’s correlation analysis and multiple regression analysis. A total of 206 online college students responded to this web survey using simple random sampling. Results showed that three variables (LLMS, motivation, and FI) were positively associated with [...]

by Anastasia Skonta  , Elena Gkantzou  , Konstantinos Spyrou  , Stamatia Spyrou  , Angeliki Polydera  , Dimitrios Gournis  and Haralambos Stamatis

Received: 31 July 2022;  Published: 08 October 2022;  doi: 10.21926/cr.2204032

3D printed PLA has already been demonstrated for several biotechnological applications, including enzymes immobilization. The prerequisites for an efficient screening assay include using small volumes of reagents, low cost, and rapid screening of large numbers of compounds and extracts. Hence, assays based on microtiter plates are predominant. Thus, designing and fabricating scaffolds on a similar scale, which could serve as immobilization carriers, and their recruitment in inhibitors screening studies is of great [...]

by Naira Sahakyan  and Margarit Petrosyan

Received: 10 June 2022;  Published: 08 October 2022;  doi: 10.21926/obm.neurobiol.2204140

The present article describes some characteristics of the effect of essential oil (EO) extracted from Ziziphora clinopodioides harvested from Armenian highlands on microglial cell lines (BV-2 wild-type (WT) and acyl-CoA oxidase1 (ACOX1)-deficient (Acox1–/–) cells). The mutant cell line was used as a model to investigate cellular oxidative damage following EO treatment. The main components of the tested EO were pulegone, isomenthone, 1,8-cineole, piperitone, and neomenthole, with concentrations of 42.1%, [...]

by Dean M. Cordingley  and Stephen M. Cornish

Received: 30 May 2022;  Published: 07 October 2022;  doi: 10.21926/obm.geriatr.2204206

Myokines are cytokines secreted from muscle during contraction and are implicated in autocrine, paracrine, and endocrine regulation of biological systems. It is postulated that myokines contribute to skeletal muscle adaptations in response to resistance exercise. Exercise, including resistance exercise, is an important factor in the management of maintaining skeletal muscle strength, mass, and function with aging. Sarcopenia is exacerbated with increased age and therefore, it is important to understand the potentia [...]

by Sveva Pepe  , Simone Tedeschi  , Nicolo' Brandizzi  , Samuele Russo  , Luca Iocchi  and Christian Napoli

Received: 27 May 2022;  Published: 04 October 2022;  doi: 10.21926/obm.neurobiol.2204139

Human–robot interactions require the ability of the system to determine if the user is paying attention. However, to train such systems, massive amounts of data are required. In this study, we addressed the issue of data scarcity by constructing a large dataset (containing ~120,000 photographs) for the attention detection task. Then, by using this dataset, we established a powerful baseline system. In addition, we extended the proposed system by adding an auxiliary face detection module and introducing a unique GAN [...]

by Abdulmalik A. Lawan  and Nadire Cavus

Received: 31 May 2022;  Published: 30 September 2022;  doi: 10.21926/obm.neurobiol.2203138

Autism spectrum disorder (ASD) is a neuropsychiatric disorder associated with critical challenges related to social, communication, and behavioral issues. Recent studies have proposed machine learning (ML) techniques for rapid and accurate assessment of ASD. However, the mismatch between the ML techniques and the clinical basis of ASD assessment reduces the effectiveness of ML-based assessment tools. The present study proposed an approach that utilized the potential of ML modeling and preserved the clinical relevan [...]