bluuebunny/crossref_metadata_2025_split huggingface dataset:
Green Synthesis, Characterization, and Biomedical Applications of
Copper and Copper Oxide Nanoparticles of Plant Origin
Authors: Dhir Sarika , Verma Ravinder , Bhatt Shailendra , Garg Vandana , Dutt Rohit 
Published: March 2023

Abstract:
The green synthesis approach using plants for the formation of metal/metal oxide nanoparticles
is biologically safe and environment-friendly as compared to various physical and chemical
methods. Various phytoconstituents present in the plants, such as phenols, flavonoids, alkaloids, tannins,
and proteins, act as potential bioresources for the formation of metal/metal oxide nanoparticles.
The most common metals/metal oxides used are silver (Ag), copper (Cu), zinc, iron, and gold.
Amongst them, copper is a comparably cheap metal than gold and silver. Copper oxide nanoparticles
have diverse applications in various fields of therapeutics. This review provides insights regarding the
bio-mediated synthesis of copper/copper oxide nanoparticles, factors affecting the synthesis, their
characterization, and the biomedical applications, mainly the antibacterial, antifungal, and anticancer
activity. Although many trials and research have already been conducted, indicating the potential for
developing copper and copper oxide nanoparticles as a future drug, still, more research is needed focusing
on different ways to minimize their toxicity and improve biological efficacy.
Recent Research on Magnetic Machinery
Authors: Lu Zikang , Xie Baocheng 
Published: March 2023

Background:
As a clean energy source, magnetic energy is a significant power source of mechanical
equipment, which affects the direction of control mode and mechanical structure of mechanical
equipment. Magnetic machinery is widely used in industrial power systems and automatic control
systems as the power source of mechanical equipment transmission parts or actuators. Magnetic
machinery is essential to make mechanical equipment easy to control, energy saving and environmental
protection, simple structure, and so on. In order to innovate the control mode of mechanical
equipment and optimize the types of traditional mechanical systems, magnetic machinery developed
magnetic coupling, magnetic gear, magnetic spring, and other magnetic machinery. The characteristics
of magnetic machines with different functions are analyzed based on the types of magnetic machines.
Therefore, this aspect's development and application are getting more attention in recent
years. To innovate the control mode of mechanical equipment and optimize the types of traditional
mechanical structures, magnetic types of machinery, such as magnetic coupling, magnetic gear, and
magnetic spring, are making continuous progress. New magnetic machines are also being developed.
This paper summarizes the typical patents on three kinds of magnetic machinery: magnetic
coupling, magnetic gear and magnetic spring. In addition, the advantages of existing magnetic machinery
are summarized, the current situation of magnetic machinery is analyzed, and the development
of magnetic machinery is summarized. Through the analysis of enormous patents of magnetic
coupling, magnetic gear, and magnetic spring, it is concluded that although there are many kinds of
magnetic machinery, there are no systematic and mature design theories and methods. The development
trend of magnetic machinery is also discussed. The research on magnetic machinery helps
innovate mechanical equipment's control mode and optimize the types of traditional mechanical
structures. As a result, more patents will be invented in the future.
Antimicrobial Activity of the Nanoparticle Form of Greens (Lemon, Black
Seeds or Flax) with Silver on Drug-resistant Human Pathogens
Authors: AL-Janabi Ali Abdul Hussein S. , Aldorkee Suad Yousif 
Published: March 2023

Background::
Synthesizing a green source that has antimicrobial activity in nanoparticles is a
novel and exciting approach to pharmaceutical science with promising results.

Objective::
Green-silver nanoparticles (G-AgNPs) were evaluated for their antimicrobial action on drugresistant
pathogens.

Methods::
Lemon, black seeds, and flax were selected as green sources to synthesize nanoparticles
formed with silver. Physical and chemical characteristics of these preparations were identified. The antimicrobial
activities of the prepared compounds against drug-resistant clinical isolates of seven bacteria
and five fungi were identified by disk diffusion and dilution methods.

Results::
The nanoparticle characteristics were confirmed by physical and chemical measurements.
Lemon extract with silver nanoparticles (L-AgNP) showed more antimicrobial action, particularly on
Gram-positive bacteria and Candida albicans. Silver nanoparticles with black seeds (B-AgNP) and flax
(F-AgNP) had only antibacterial effects on a single bacterium (Enterobacter cloacae). Escherichia coli,
Staphylococcus aureus, and two fungi, Candida glabrata and Candida utilis, showed resistance to all
nanoparticles from plants.

Conclusion::
Lemon with silver nanoparticle is an effective plant product for use against various drugresistant
species of human pathogens. Further pharmaceutical studies are required to verify the suitability
of this form of the drug for human use. Another plant is recommended for testing against the most
resistant strains of pathogens
Cultural Adaptation of the Actionable Health App Evaluation in Japan: Protocol for a Web-Based Modified Delphi Expert Consensus Study
Authors: Yokomitsu Kengo , Takashina Hikari N , Takebayashi Yoshitake , Muranaka Seiji 
Published: March 2023

Background
With an increase in both the number of mental health disorders people are experiencing and the difficulty in accessing mental health care, the demand for accessible mental health care services has increased. The use of mobile devices has allowed people to receive care in their daily lives without restrictions on time or location. However, the majority of publicly available mobile health apps are not evidence-based, and the top-rated apps are not always safe or user-friendly and may not offer clinically beneficial results.

Objective
This study aims to create a cultural adaptation of the American Psychiatric Association’s comprehensive app evaluation framework in Japan using a web-based modified Delphi expert consensus.

Methods
A web-based modified Delphi study includes developing the Japanese version of the comprehensive app evaluation framework and 3 Delphi rounds. In the first round, our working group sends a questionnaire to the panelists, who then complete it. In the second and third rounds, the working group sends a questionnaire and a summary of the panelists’ answers based on each of the previous rounds. The panelists answer the questionnaires based on this summary. The summarization procedure is automated to help reduce the biases that can be generated when panelists’ answers are summarized and when the panelists receive them. The working group sends only the result of the summarization with the next round’s questionnaire. All interactions between the working group and the panelists will be conducted on Qualtrics (Qualtrics Japan LLC), a questionnaire platform. To culturally validate the comprehensive mental health app evaluation framework, participants from the following three categories will be recruited in Japan: (1) researchers, (2) practitioners, and (3) app developers.

Results
This study received funding from a crowdfunding campaign in Japan (April 2023). The Delphi study began in January 2023 and will be completed in December 2023. We had already completed the translation of the 105 original app evaluation item questions by December 2022.

Conclusions
While the need for treatment using mental health apps is increasing, no framework that can be used to develop a centralized database for health apps is available or accessible, and no consensus has been reached among stakeholders in Japan about an appropriate framework. The results of the web-based modified Delphi method presented in this paper may provide direction for the development and use of mental health apps in the future among the relevant stakeholders. Furthermore, this study will enhance recognition of the framework among researchers, clinicians, mental health app developers, and users, in addition to devising new instruments to help users or practitioners efficiently choose the right app for their situations.

International Registered Report Identifier (IRRID)
PRR1-10.2196/44469
Feasibility of Artificial Intelligence–Based Electrocardiography Analysis for the Prediction of Obstructive Coronary Artery Disease in Patients With Stable Angina: Validation Study
Authors: Park Jiesuck , Yoon Yeonyee , Cho Youngjin , Kim Joonghee 
Published: March 2023

Background
Despite accumulating research on artificial intelligence–based electrocardiography (ECG) algorithms for predicting acute coronary syndrome (ACS), their application in stable angina is not well evaluated.

Objective
We evaluated the utility of an existing artificial intelligence–based quantitative electrocardiography (QCG) analyzer in stable angina and developed a new ECG biomarker more suitable for stable angina.

Methods
This single-center study comprised consecutive patients with stable angina. The independent and incremental value of QCG scores for coronary artery disease (CAD)–related conditions (ACS, myocardial injury, critical status, ST-elevation myocardial infarction, and left ventricular dysfunction) for predicting obstructive CAD confirmed by invasive angiography was examined. Additionally, ECG signals extracted by the QCG analyzer were used as input to develop a new QCG score.

Results
Among 723 patients with stable angina (median age 68 years; male: 470/723, 65%), 497 (69%) had obstructive CAD. QCG scores for ACS and myocardial injury were independently associated with obstructive CAD (odds ratio [OR] 1.09, 95% CI 1.03-1.17 and OR 1.08, 95% CI 1.02-1.16 per 10-point increase, respectively) but did not significantly improve prediction performance compared to clinical features. However, our new QCG score demonstrated better prediction performance for obstructive CAD (area under the receiver operating characteristic curve 0.802) than the original QCG scores, with incremental predictive value in combination with clinical features (area under the receiver operating characteristic curve 0.827 vs 0.730; P<.001).

Conclusions
QCG scores developed for acute conditions show limited performance in identifying obstructive CAD in stable angina. However, improvement in the QCG analyzer, through training on comprehensive ECG signals in patients with stable angina, is feasible.
Transferability Based on Drug Structure Similarity in the Automatic Classification of Noncompliant Drug Use on Social Media: Natural Language Processing Approach
Authors: Nishiyama Tomohiro , Yada Shuntaro , Wakamiya Shoko , Hori Satoko , Aramaki Eiji 
Published: March 2023

Background
Medication noncompliance is a critical issue because of the increased number of drugs sold on the web. Web-based drug distribution is difficult to control, causing problems such as drug noncompliance and abuse. The existing medication compliance surveys lack completeness because it is impossible to cover patients who do not go to the hospital or provide accurate information to their doctors, so a social media–based approach is being explored to collect information about drug use. Social media data, which includes information on drug usage by users, can be used to detect drug abuse and medication compliance in patients.

Objective
This study aimed to assess how the structural similarity of drugs affects the efficiency of machine learning models for text classification of drug noncompliance.

Methods
This study analyzed 22,022 tweets about 20 different drugs. The tweets were labeled as either noncompliant use or mention, noncompliant sales, general use, or general mention. The study compares 2 methods for training machine learning models for text classification: single-sub-corpus transfer learning, in which a model is trained on tweets about a single drug and then tested on tweets about other drugs, and multi-sub-corpus incremental learning, in which models are trained on tweets about drugs in order of their structural similarity. The performance of a machine learning model trained on a single subcorpus (a data set of tweets about a specific category of drugs) was compared to the performance of a model trained on multiple subcorpora (data sets of tweets about multiple categories of drugs).

Results
The results showed that the performance of the model trained on a single subcorpus varied depending on the specific drug used for training. The Tanimoto similarity (a measure of the structural similarity between compounds) was weakly correlated with the classification results. The model trained by transfer learning a corpus of drugs with close structural similarity performed better than the model trained by randomly adding a subcorpus when the number of subcorpora was small.

Conclusions
The results suggest that structural similarity improves the classification performance of messages about unknown drugs if the drugs in the training corpus are few. On the other hand, this indicates that there is little need to consider the influence of the Tanimoto structural similarity if a sufficient variety of drugs are ensured.
The Use of Telehealth Among People Living With Dementia-Caregiver Dyads During the COVID-19 Pandemic: Scoping Review
Authors: Liang Jiaming , Aranda Maria P 
Published: March 2023

Background
Telehealth has gained substantial attention during the COVID-19 pandemic, and reimbursement policies in health care settings have increased access to remote modes of care delivery. Telehealth has the potential to mitigate care concerns for people living with dementia and their family caregivers. There is a paucity of knowledge on the performance of telehealth services and user experiences, especially among caregiving dyads during the pandemic.

Objective
This study aims to describe the implementation, effectiveness, user experience, and barriers to accessing and using telehealth services for people living with dementia and their caregivers during the COVID-19 pandemic.

Methods
Following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist, we searched 7 databases (PubMed, PsycINFO, AgeLine, CINAHL, Social Services Abstracts, Web of Science, and Scopus) and a web-based search engine (Google Scholar). The inclusion criteria for peer-reviewed English publications from March 2020 to August 2022 consisted of studies related to telehealth services for people living with dementia and their family caregivers and studies conducted during the COVID-19 pandemic.

Results
A total of 24 articles (10 quantitative and 14 qualitative studies) from 10 different countries were included. The major findings of the reviewed articles were extracted and organized into the following 4 themes: study design characteristics—strategies were adopted to improve the accessibility and experience of people living with dementia-caregiver dyads; efficacy outcomes of telehealth services—robust evidence is lacking on the comparative effectiveness of in-person services; perceived experiences of people living with dementia and caregivers—most reviewed studies reported positive experiences of using telehealth services and perceived personal and social benefits from their participants; and barriers to accessing and using telehealth services—several barriers related to individuals, infrastructure, and telehealth environments were identified.

Conclusions
Although evidence of its effectiveness is still limited, telehealth is widely accepted as a viable alternative to in-person care for high-risk groups, such as people living with dementia and their caregivers. Future research should include expanding digital access for those with limited resources and low technology literacy, adopting randomized controlled trial designs to establish the comparative effectiveness of different modes of service delivery, and increasing the sample diversity.
Community Empowerment through Sustainable Utilisation of Mangrove Forests for the Production of Natural Dyes with An Environmentally Friendly System (Phase I: Increasing Awareness and Knowledge Enhancement)
Authors: Adriyanti Dwi Tyaningsih , Putri Tri Winarni Soenarto , Mindaryani Aswati , Prasetya Agus , Petrus Himawan Tri Bayu Murti 
Published: March 2023

Community participation in mangrove forest ecosystem conservation is an effort to overcome and avoid mangrove ecosystem deterioration. The findings show that mangrove forests in Kampung Laut’s coastal region, particularly in the village of Ujung Alang, are still well preserveddue to diverse mangrove planting efforts. Currently, the community uses mangrove plants by converting some plant sections into food and using the plant’s stems as building materials. Efforts have been made to preserve mangrove forest ecosystems through the Sustainable Utilization of Mangrove Forests for the Production of Natural Dyes with a Zero Waste System. The following are the activities: 1) Dissemination of the concept to raise public awareness of the potential of mangrove plants as a source of raw materials for natural dyes to increase community income and sustainably manage mangrove forests; 2) Raising the awareness of the younger generation to improve the local economy through the development of micro-scale SMEs in the field of mangrove-based natural dyes; and 3) Technical training on thinning/logging and sustainable mangrove planting to acquaint participants with the concepts of thinning/logging and sustainable man Establish the program’s purpose, which should be divided into six activities. Many farmer groups anticipate that this community service under the auspices of Krida Wana Lestari will assist them in improving their existing products and estimating the potential process of their natural mangroves. This program raises public awareness of the mangrove plant’s potential as a source of raw materials for natural colours. In addition, this activity enables the community to do technical logging and sustainable mangrove planting to support the availability of raw materials for natural dyes. Consequently, the creation and development of a local economic business unit with a green entrepreneurship incubator model based on mangrove conservation and zero waste from natural dye SMEs have begun.
Corrigendum: Accuracy of Optical Coherence Tomography for Subtyping Basal Cell Carcinoma: Using Histopathology of Biopsy and Entire Lesion as Reference Standard
Authors: Wolswijk Tom , Nelemans Patty J. , Adan Fieke , Mosterd Klara 
Published: March 2023

Abstract is missing (Corrigendum)
This Corrigendum relates to the following article: https://doi.org/10.2340/actadv.v102.4383
Role of Mannose-binding Lectin and Association with Microbial Sensitization in a Cohort of Patients with Atopic Dermatitis
Authors: Belfrage Emma , Jinnestål Camilla L. , Jönsen Andreas , Bengtsson Anders , Åkesson Anna , Schmidtchen Artur , Sonesson Andreas 
Published: March 2023

Atopic dermatitis is a relapsing inflammatory skin condition, in which bacteria, fungi and viruses may colonize the skin and aggravate the condition. Mannose-binding lectin is part of the innate immune system. Polymorphism in the mannose-binding lectin gene can result in deficiency of mannose-binding lectin, which may affect defence against microbes. The aim of this study was to investigate whether polymorphisms in the mannose-binding lectin gene affect the extent of sensitization to common skin microbes, the skin barrier function, or the severity of the disease in a cohort of patients with atopic dermatitis. Genetic testing of mannose-binding lectin polymorphism was performed in 60 patients with atopic dermatitis. The disease severity, skin barrier function, and serum levels of specific immunoglobulin E against skin microbes were measured. In patients with low mannose-binding lectin genotype (group 1) 6 of 8 (75%) were sensitized to Candida albicans, compared to 14 of 22 (63.6%) patients with intermediate mannose-binding genotype (group 2) and 10 of 30 (33.3%) patients with high mannose-binding genotype (group 3). Group 1 (low mannose-binding lectin) was more likely to be sensitized to Candida albicans compared with group 3 (high mannose-binding lectin) (odds ratio 6.34, p-value 0.045). In this cohort of patients with atopic dermatitis, mannose-binding lectin deficiency was associated with increased sensitization to Candida albicans.
Comparison of Oropharyngeal Oxygen Pooling and Suctioning During Intubated and Nonintubated Dental Office-Based Anesthesia
Authors: Rafla Rebecca R. , Saxen Mark A. , Yepes Juan F. , Jones James E. , Vinson LaQuia A. 
Published: March 2023

ObjectiveThe risk of a spontaneous surgical fire increases as oxygen concentrations surrounding the surgical site rise above the normal atmospheric level of 21%. Previously published in vitro findings imply this phenomenon (termed oxygen pooling) occurs during dental procedures under sedation and general anesthesia; however, it has not been clinically documented.MethodsThirty-one children classified as American Society of Anesthesiologists I and II between 2 and 6 years of age undergoing office-based general anesthesia for complete dental rehabilitation were monitored for intraoral ambient oxygen concentration, end-tidal CO2, and respiratory rate changes immediately following nasotracheal intubation or insertion of nasopharyngeal airways, followed by high-speed suctioning of the oral cavity during simulated dental treatment.ResultsMean ambient intraoral oxygen concentrations ranging from 46.9% to 72.1%, levels consistent with oxygen pooling, occurred in the nasopharyngeal airway group prior to the introduction of high-speed oral suctioning. However, 1 minute of suctioning reversed the oxygen pooling to 31.2%. Oropharyngeal ambient oxygen concentrations in patients with uncuffed endotracheal tubes ranged from 24.1% to 26.6% prior to high-speed suctioning, which reversed the pooling to 21.1% after 1 minute.ConclusionThis study demonstrated significant oxygen pooling with nasopharyngeal airway use before and after high-speed suctioning. Uncuffed endotracheal intubation showed minimal pooling, which was reversed to room air ambient oxygen concentrations after 1 minute of suctioning.
Importance of Children's Libraries in The Pandemic
Authors: Yildiz Asiye K. 
Published: March 2023

During tumultuous times, the need for information has become even greater. However, in pandemic process, not everyone could access information equally. Inequality of academic opportunity, especially among children, has increased all over the world. As a developing country in Turkey, children’s access to information during the pandemic process hasn’t been conducted. Based on this problem, during pandemic we prepared an online education project first time in Turkey via a children’s library. Within the scope of the project, a total of 34 workshops in 12 different branches were prepared. During 14 days, 171 students between the ages of 6 and 10 were given 23 hours of training. This project highlighted how children’s libraries can be used as a learning center for disadvantaged children. As a result of the study, it was seen that providing new learning environments via the children’s library has positive effects on disadvantaged children and their families.