bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rickettsial DNA invasions and a scrambled rRNA cluster with
a trans-splicing group I intron: The highly unorthodox mitogenome
of the fern Haplopteris ensiformis
Authors: Zumkeller Simon , Polsakiewicz Monika , Knoop Volker 
Published: October 2022

Abstract
Plant mitochondrial genomes can be complex owing to highly recombinant structures, lack of gene syntenies, heavy RNA editing and invasion of chloroplast, nuclear or even foreign DNA by horizontal gene transfer (HGT). Leptosporangiate ferns remained the last major plant clade without an assembled mitogenome, likely owing to a demanding combination of the above. We here present both organelle genomes of Haplopteris ensiformis as a first leptosporangiate fern. More than 1,400 events of C-to-U RNA editing and over 500 events of reverse U-to-C edits affect its organelle transcriptomes. The Haplopteris mitogenome has a rich gene complement lacking only the ccm gene suite but is highly unorthodox, indicating extraordinary recombinogenic activity. Although eleven group II introns known in disrupted trans-splicing states in seed plants exist in conventional cis-arrangements, a particularly complex structure is found for the mitochondrial rrnL gene, which is split into two parts needing reassembly on RNA level by a novel trans-splicing group I intron. Finally, and aside from ca. 80 chloroplast DNA inserts that complicated the mitogenome assembly, the Haplopteris mtDNA features as an unparalleled idiosyncrasy 30 variably degenerated protein coding regions from Rickettiales bacteria indicative of heavy bacterial HGT on top of tRNA genes of chlamydial origin.
ATANN3 is involved in extracellular ATP-regulated auxin transport and distribution in Arabidopsis thaliana seedlings
Authors: Shang Zhonglin , Xu Jiawei , Han Lijuan , Xia Shuyan , Zhu Ruojia , Kang Erfang 
Published: October 2022

Abstract
Extracellular ATP (eATP) exists in the apoplast and plays multiple roles in growth, development, and stress responses. eATP has been revealed to suppresses growth rate and alters growth orientation of root and hypocotyl of Arabidopsis thalianaseedlings by affecting auxin transport in these organs. However, the mechanism of eATP-stimulated auxin distribution remains unclear. Annexins are involved in multiple aspects of plant cellular metabolism, while the role of annexins in response to apoplast signal remains unclear. Here, by using loss-of-function mutants, we investigated the role of several annexins in eATP-regulated root and hypocotyl growth. Since mutants of AtANN3 did not respond to eATP sensitively, the role of AtANN3 in eATP regulated auxin transport was intensively investigated. Firstly, the inhibitory effect of eATP on root or hypocotyl elongation was weakened or impaired in AtANN3 null mutants (atann3-1 and atann3-2). Meanwhile, single-, double- or triple-null mutant of AtANN1, AtANN2or AtANN4 responded to eATP in same manner and degree with Col-0. The distribution of DR5-GUS and DR5-GFP indicated that eATP-induced asymmetric distribution of auxin in root tip or hypocotyl cells, which appeared in wild type controls, were lacking in atann3-1seedlings. Further, eATP-induced asymmetric distribution of PIN2-GFP in root tip cells or PIN3-GFP in hypocotyl cells were reduced in atann3-1 seedlings. Based on these results, we suggest that AtANN3 may be involved in eATP-regulated seedling growth through regulating auxin transport in vegetative organs.
Advancements and Utilizations of Scaffolds in Tissue Engineering and
Drug Delivery
Authors: Malviya Rishabha , Chauhan Akash , Alam Md. Aftab , Kaur Awaneet 
Published: October 2022

Abstract:
The drug development process requires a thorough understanding of the scaffold and its three-dimensional structure. Scaffolding is a technique for tissue engineering and the formation of contemporary functioning tissues. Tissue engineering is sometimes referred to as regenerative med-icine. They also ensure that drugs are delivered with precision. Information regarding scaffolding techniques, scaffolding kinds, and other relevant facts, such as 3D nanostructuring, are discussed in depth in this literature. They are specific and demonstrate localized action for a specific reason. Scaffold's acquisition nature and flexibility make it a new drug delivery technology with good availability and structural parameter management.
Emerging Aspects of Triazole in Organic Synthesis: Exploring its
Potential as a Gelator
Authors: Vasanthan Rabecca Jenifer , Pradhan Sheersha , Thangamuthu Mohan Das 
Published: October 2022

Abstract:
Cu(I)-catalyzed azide−alkyne 1,3-dipolar cycloaddition (CuAAC) - commonly known
as the “click reaction” - serves as the most effective and highly reliable tool for facile construction
of simple to complex designs at the molecular level. It relates to the formation of carbon heteroatomic
systems by joining or clicking small molecular pieces together with the help of various organic
reactions such as cycloaddition, conjugate addition, ring-opening, etc. Such dynamic strategy
results in the generation of triazole and its derivatives from azides and alkynes with three nitrogen
atoms in the five-membered aromatic azole ring that often forms gel-assembled structures having
gelating properties. These scaffolds have led to prominent applications in designing advanced soft
materials, 3D printing, ion sensing, drug delivery, photonics, separation, and purification. In this
review, we mainly emphasize the different mechanistic aspects of triazole formation, which includes
the synthesis of sugar-based and non-sugar-based triazoles, and their gel applications reported
in the literature for the past ten years, as well as the upcoming scope in different branches
of applied sciences.
Effects of Air Pollution on Disease Activity and Health-Related Quality of
Life of Systemic Lupus Erythematous Patients: An Iranian Observational
Longitudinal Study
Authors: Rajabi Enayat , Sahebari Maryam , Esmaili Habibollah , Orooji Arezoo , Dowlatabadi Yousef 
Published: October 2022

Introduction:
Air pollution is one of the environmental factors that influences the pathogenesis of systemic autoimmune diseases, followed by the development and spread of inflammation and increased oxidative damage. Only a few studies have been conducted on the impact of air pollution on disease activity in patients with lupus, which mostly have focused on PM2.5 particles.

Materials and Methods:
We longitudinally studied 50 patients with lupus bimonthly in a 6-month period in Mashhad; one of the polluted cities of Iran. Disease activity and quality of life were examined according to SLEDAI2K, SLEQOL, and VAS criteria. The outdoor air pollutant was measured by monitoring the average concentration of nitrogen dioxide (NO2), carbon monoxide (CO), some particles less than 10 and 2.5 micrometers in diameter (PM <10, PM <2.5) and the level of temperature and humidity which were taken from the Meteorological Organization of Mashhad. Confounding factors such as medications were investigated by univariate and multivariate statistical analysis, specifically by GEE method.

Results:
The possible relation among various factors to SLEDAI, SLEQOL and VAS by two different univariate and multivariate analysis were studied. Our analysis indicated that spring season, decreased temperature, increased air pollutants including (PM2.5, and NO2) and increased humidity increase SLEDAI2K. Furthermore, the percent of polluted days directly correlates with Anti-dsDNA and NO2 significantly increases SLEQOL.

Conclusion:
Based on our findings, air pollution (particularly NO2 and PM2.5) has affected at least some aspects of the disease and the health-related quality of life (HRQL) of lupus patients. Further research is needed to confirm these findings.
COVID-19 Infection After Vaccination Among Healthcare Workers
at a Tertiary Level Health Care Center in Northern India: A
Cross-Sectional Study
Authors: Sharma Nandita , Singh Mahendra , Aggarwal Pradeep , Bahurupi Yogesh , Panda Prasan Kumar , Saxena Gaurika 
Published: October 2022

Background and aims:
COVID19 vaccines are now accessible to all Indian citizens. Infection with COVID19, on the other hand, continues to spread continuously. Our study aimed to determine the number of persons who had COVID-19 infections despite receiving the recommended number of doses of the COVID 19 vaccination at AIIMS Rishikesh, a tertiary care facility in Uttarakhand, India.

Methods:
We analysed meticulously preserved data regarding COVID-19 vaccination, COVID-19 infection, Clinical symptoms, and RT-PCR testing among all HCWs in our healthcare institution during period from 16 January 2021 to 30th June 2021..

Results:
During this period, 5273 (90.3%) HCWs received two doses of COVID-19 vaccine, while 566 (9.7%) received only one dose. 628 HCWs (10.8%) were BBV152 recipients and 5211(89.2%) AZD1222 (ChAdOx1-S) recipients. 423 HCWs (7.2%,confidence interval of 95% - 13.8, 22.0) reported COVID-19 infections.274(5.19% of total vaccinated HCWs ) breakthrough infections and 149 non-breakthrough COVID-19 infections reported in HCWs who had previously received a single dose of the COVID-19 vaccination. .

Conclusion:
Viral infections sepecially breakthrough infections following adequate vaccination are a cause for concern, but there is a lack of data on these infections in the actual world. Therefore, the primary focus of research should be on the emergence of illness in India following the completion of a full vaccine course.
Digital Devices for Assessing Motor Functions in Mobility-Impaired and Healthy Populations: Systematic Literature Review
Authors: Guo Christine C , Chiesa Patrizia Andrea , de Moor Carl , Fazeli Mir Sohail , Schofield Thomas , Hofer Kimberly , Belachew Shibeshih , Scotland Alf 
Published: October 2022

BackgroundWith the advent of smart sensing technology, mobile and wearable devices can provide continuous and objective monitoring and assessment of motor function outcomes.ObjectiveWe aimed to describe the existing scientific literature on wearable and mobile technologies that are being used or tested for assessing motor functions in mobility-impaired and healthy adults and to evaluate the degree to which these devices provide clinically valid measures of motor function in these populations.MethodsA systematic literature review was conducted by searching Embase, MEDLINE, CENTRAL (January 1, 2015, to June 24, 2020), the United States and European Union clinical trial registries, and the United States Food and Drug Administration website using predefined study selection criteria. Study selection, data extraction, and quality assessment were performed by 2 independent reviewers.ResultsA total of 91 publications representing 87 unique studies were included. The most represented clinical conditions were Parkinson disease (n=51 studies), followed by stroke (n=5), Huntington disease (n=5), and multiple sclerosis (n=2). A total of 42 motion-detecting devices were identified, and the majority (n=27, 64%) were created for the purpose of health care–related data collection, although approximately 25% were personal electronic devices (eg, smartphones and watches) and 11% were entertainment consoles (eg, Microsoft Kinect or Xbox and Nintendo Wii). The primary motion outcomes were related to gait (n=30), gross motor movements (n=25), and fine motor movements (n=23). As a group, sensor-derived motion data showed a mean sensitivity of 0.83 (SD 7.27), a mean specificity of 0.84 (SD 15.40), a mean accuracy of 0.90 (SD 5.87) in discriminating between diseased individuals and healthy controls, and a mean Pearson r validity coefficient of 0.52 (SD 0.22) relative to clinical measures. We did not find significant differences in the degree of validity between in-laboratory and at-home sensor-based assessments nor between device class (ie, health care–related device, personal electronic devices, and entertainment consoles).ConclusionsSensor-derived motion data can be leveraged to classify and quantify disease status for a variety of neurological conditions. However, most of the recent research on digital clinical measures is derived from proof-of-concept studies with considerable variation in methodological approaches, and much of the reviewed literature has focused on clinical validation, with less than one-quarter of the studies performing analytical validation. Overall, future research is crucially needed to further consolidate that sensor-derived motion data may lead to the development of robust and transformative digital measurements intended to predict, diagnose, and quantify neurological disease state and its longitudinal change.
A Fork in the Road for Emergency Medicine and Critical Care Blogs and Podcasts: Cross-sectional Study
Authors: Lin Michelle , Phipps Mina , Yilmaz Yusuf , Nash Christopher J , Gisondi Michael A , Chan Teresa M 
Published: October 2022

Background
Free open-access meducation (FOAM) refers to open-access, web-based learning resources in medicine. It includes all formats of digital products, including blogs and podcasts. The number of FOAM blog and podcast sites in emergency medicine and critical care increased dramatically from 2002 to 2013, and physicians began to rely on the availability of these resources. The current landscape of these FOAM sites is unknown.

Objective
This study aims to (1) estimate the current number of active, open-access blogs and podcasts in emergency medicine and critical care and (2) describe observed and anticipated trends in the FOAM movement using the Theory of Disruptive Innovation by Christensen as a theoretical framework.

Methods
The authors used multiple resources and sampling strategies to identify active, open-access blogs and podcasts between April 25, 2022, and May 8, 2022, and classified these websites as blogs, podcasts, or blogs+podcasts. For each category, they reported the following outcome measures using descriptive statistics: age, funding, affiliations, and team composition. Based on these findings, the authors projected trends in the number of active sites using a positivist paradigm and the Theory of Disruptive Innovation as a theoretical framework.

Results
The authors identified 109 emergency medicine and critical care websites, which comprised 45.9% (n=50) blogs, 22.9% (n=25) podcasts, and 31.2% (n=34) blogs+podcasts. Ages ranged from 0 to 18 years; 27.5% (n=30) sold products, 18.3% (n=20) used advertisements, 44.0% (n=48) had institutional funding, and 27.5% (n=30) had no affiliation or external funding sources. Team sizes ranged from 1 (n=26, 23.9%) to ≥5 (n=60, 55%) individuals.

Conclusions
There was a sharp decline in the number of emergency medicine and critical care blogs and podcasts in the last decade, dropping 40.4% since 2013. The initial growth of FOAM and its subsequent downturn align with principles in the Theory of Disruptive Innovation by Christensen. These findings have important implications for the field of medical education.
Historia y memoria oral de la violencia en Colombia, vista desde el RAP
Authors: Vásquez-Manrique Rubén Darío 
Published: October 2022

El presente documento resalta la importancia del Rap, la memoria y la memoria oral como formas de transmisión de hechos históricos y como medios que brindan la posibilidad de que sujetos y colectivos sociales que han sido enajenados puedan relatar a partir de sus discursos algunos eventos que han marcado la historia de sus contextos. En este sentido, se hace necesario propiciar espacios donde discursos como el Rap puedan exponer más que sonidos y ritmos para centrarse en la divulgación de asuntos específicos como hechos históricos de la violencia que se enuncian a través de sus líricas y que intentan asumir una postura crítica de las problemáticas sociales de los contextos en los que viven. De este modo, esta reflexión se sustenta en conceptos de las ciencias sociales que aplicados al análisis e interpretación de dos entrevistas a raperos y sus canciones dejan entrever la relevancia de estos corpus como materiales de estudio y acervos fiables para comprender la historia violenta de Colombia. Se puede concluir que el Rap es un discurso que ostenta la capacidad de mantener viva la historia, representar múltiples realidades, potencia el pensamiento crítico de los oyentes y posibilita entender que revolución también es alzar la voz y no dejar en el olvido el pasado.
Analytical methods for pesticide residues determination in propolis and propolis-based products
Authors: Blažková Ivana , Hrouzek Ján , Szarka Agneša , Pócsová Tamara , Hrouzková Svetlana 
Published: October 2022

Abstract
As a result of massive bee deaths in recent years, beekeeping is raising concerns about the presence of pesticides in propolis which is considered as a safe product. The paper is focused on the analysis of bee propolis and propolis-based products using various chromatographic techniques using mass spectrometry detection predominantly. An important part of the work is an overview concerning methods of sample preparation, extraction, and purification of extracts, followed by separation and detection techniques. Positive findings of contaminants and their concentrations in propolis samples and propolis products were evaluated. Sorption based techniques such as matrix solid phase dispersion and solvent-based extraction techniques are frequently applied for propolis analysis in connection with chromatographic techniques. Liquid-based extractions, such as the QuEChERS extraction technique (Quick, Easy, Cheap, Effective, Rugged, Safe), combine extraction by solvent with several ways of extract cleaning using combinations of salts and sorbents, primary secondary amine, MgSO4, NaCl, graphitized carbon, EMR-lipid, florisil, or octadecylsilane-modified silica gel. Other extraction techniques were reviewed. The most significant problem to be considered in pesticides detection is the topic of matrix effects, which have to be solved for each sample analysis with special care.
A study of local smoothness-informed convolutional neural network models for image inpainting
Authors: Li Fulian , Lin Ping 
Published: October 2022

Abstract
Image inpainting aims to fill the undetectable domain and has been studied using deep learning in recent years. This study investigates smoothness-informed convolutional neural network models for image inpainting. The total variation (TV) is considered and local smoothness constraints are also explored in this study. The local smoothness constraint is conducted by the fidelity of the low-order derivatives on mostly connected parts of the given image at training stage. Unlike most neural network-based inpainting methods using numerous images for training, only a single local image containing the domain to be filled is required for the whole training here. The convolutional neural network accepts the image and is trained using detectable data. Computational results indicate that the local smoothness constraint can conduct a more satisfactory inpainting in comparison to usual TV-based one. We also demonstrate how a deep learning approach is used to solve the Euler-Lagrange equation-based inpainting.
Research on loyalty prediction of e-commerce customer based on data mining
Authors: Qin Xujie 
Published: October 2022

Abstract
Analysing the data generated by the daily operations of enterprises through data mining technology can effectively predict customer loyalty and help enterprise leaders make correct decisions. Therefore, this paper classifies and analyses churn and loyalty of e-commerce customers, and by combining the application foundation of data mining technology in e-commerce customer loyalty prediction, a prediction model of e-commerce customer loyalty based on data mining is constructed. In this model, the local abnormal factor algorithm is used to eliminate the data for cleaning, the XGBoost algorithm is improved by adding penalty coefficient, and the prediction effect of the model is evaluated and compared according to the values of Accuracy, Precision, Recall and F. The results show that the model has high accuracy in predicting customer loyalty, which can accurately extract attributes of users and characteristic information of commodities.
Action of Aut(G) on the set of maximal subgroups of p-groups
Authors: Xiu-juan Sun , Mohamed Hamdy 
Published: October 2022

Abstract
In this paper, we mainly study the action of Aut(G) on the set Ω of all maximal subgroups of G, and we use P to denote the action of Aut(G) on Ω. When G is a finite non-cyclic abelian p-group, P is transitive. When G is minimal non-abelian, there are three cases. If G is quaternion group, P is transitive; if G is a metacyclic group, P is non-transitive; if G is not a metacyclic group, P is transitive.
Deep learning based non-intrusive load monitoring with low resolution data from smart meters
Authors: Manca Marco Manolo , Massidda Luca 
Published: October 2022

AbstractA detailed knowledge of the energy consumption and activation status of the electrical appliances in a house is beneficial for both the user and the energy supplier, improving energy awareness and allowing the implementation of consumption management policies through demand response techniques. Monitoring the consumption of individual appliances is certainly expensive and difficult to implement technically on a large scale, so non-intrusive monitoring techniques have been developed that allow the consumption of appliances to be derived from the sole measurement of the aggregate consumption of a house. However, these methodologies often require additional hardware to be installed in the domestic system to measure total energy consumption with high temporal resolution. In this work we use a deep learning method to disaggregate the low frequency energy signal generated directly by the new generation smart meters deployed in Italy, without the need of additional specific hardware. The performances obtained on two reference datasets are promising and demonstrate the applicability of the proposed approach.
The Impact of Work Stress on Job Performance Among Nursing Staff in Al-Awda Hospital
Authors: Alayoubi Mansour M. , Arekat Zakieh M. , Al Shobaki Mazen J. , Abu-Naser Samy S. 
Published: October 2022

Abstract
This study aimed to identify the impact of work stress on job performance of nursing workers in Al-Awda Hospital in Gaza Strip. The researchers used the descriptive and analytical approach. The study population was selected from nursing staff in Al-Awda Hospital, where the size of the study sample reached 60 nurses. The researchers used the comprehensive enumeration method for all members of the study population. Questionnaire was used for data collection because the size of the study population is small. The most important findings of the study are: The level of the respondents’ answers in Al-Awda Hospital about work stress was 68.8%, job performance was 78.13%, and there is a direct statistically significant relationship between the dimensions of work stress and the job performance of nursing workers at Al-Awda Hospital, where the correlation coefficient was 0.318. Furthermore, the results showed a statistically significant effect between the dimensions of work stress on job performance at Al-Awda Hospital. The study recommended that senior management at Al-Awda Hospital pay attention to all dimensions of work stress, the elements that contribute to improve job performance of nurses, and their impact on improving job performance at Al-Awda Hospital.