bluuebunny/crossref_metadata_2025_split huggingface dataset:
Correlation Between Quality and Geographical Origins of Leonuri Herba Revealed By the Qualitative Fingerprint Profiling and Quantitative Determination of Chemical Components
Authors: Lam Kelly Yinching , Wang Yinghao , Lam Tszking , Ku Chuenfai , Yeung Wingping , Zhao Zhongzhen 
Published: December 2021

Abstract
BackgroundLeonuri Herba (Yimucao) is a very commonly Chinese herbs for treating menstrual and maternal diseases for thousands of years in China. However, the herb collected in different origins was easily found in the markets which induce the unstable quality for clinic use. In this study, a comprehensive strategy of using multiple chromatographic analysis and chemometric analysis was firstly investigated for chemical discrimination of Leonuri Herba from different geographical origins.MethodsUHPLC-QTOF-MS/MS was applied to identify the peaks of Leonuri Herba and chemical fingerprints were established in 30 batches from different geographical origins. Meanwhile, dissimilarities of chemical compositions among different origins were further investigated by principal component analysis and cluster analysis.ResultsA total of 49 chromatographic peaks of Leonuri Herba were unequivocally or tentatively identified by UHPLC-QTOF-MS/MS. Leonuri Herba were classified into four categories, and eight major compounds detected could be used as chemical markers for discrimination. Also, the eight components, including leonurine, 4',5-dihydroxy-7-methoxyflavone, rutin, hyperoside, apigenin, quercetin, kaempferol and salicylic acid, were simultaneously quantified using the extracting ion mode of UHPLC-QTOF-MS/MS.ConclusionThis systematic information could ensure Leonuri Herba with well-controlled quality and safe use in clinic. This study could also provide a research model for further study of other Chinese Materia Medica.
Public Attitudes Towards the Use of Novel Technologies in Their Future Healthcare: A UK Survey
Authors: Sauchelli Sarah , Pickles Tim , Voinescu Alexandra , Choi Heungjae , Sherlock Ben , Zhang Jingjing , Colyer Steffi , Grant Sabrina , Sundari Sethu , Lasseter Gemma 
Published: December 2021

Abstract
Background
Innovation in healthcare technologies can result in more convenient and effective treatment that is less costly, but a persistent challenge to widespread adoption in health and social care is end user acceptability. The purpose of this study was to capture UK public opinions and attitudes to novel healthcare technologies (NHTs), and to better understand the factors that contribute to acceptance and future use.
Methods
An online survey was distributed to the UK public between April and May 2020. Respondents received brief information about four novel healthcare technologies (NHTs) in development: a laser-based tool for early diagnosis of osteoarthritis, a virtual reality tool to support diabetes self-management, a non-invasive continuous glucose monitor using microwave signals, a mobile app for patient reported monitoring of rheumatoid arthritis. They were queried on their general familiarity and attitudes to technology, and their willingness to accept each NHT in their future care. Responses were analysed using summary statistics and content analysis.
Results
Knowledge about NHTs was diverse, with respondents being more aware about the health applications of mobile apps (66%), followed by laser-based technology (63.8%), microwave signalling (28%), and virtual reality (18.3%). Increasing age and the presence of a self-reported medical condition favoured acceptability for some NHTs, whereas self-reported understanding of how the NHT works resulted in elevated acceptance scores across all NHTs presented. Common contributors to hesitancy were safety and risks from use. Respondents wanted more information and evidence to help inform their decisions, ideally provided verbally by a general practitioner or health professional. Other concerns, such as privacy, were NHT-specific but equally important in decision-making.
Conclusions
Early insight into the knowledge and preconceptions of the public about NHTs in development can assist their design and prospectively mitigate obstacles to acceptance and adoption.
The Effect of α-Al2O3 Composite on Energy Storage Characteristics of the Orthogonal Phase PLZST Antiferroelectric Ceramics
Authors: Chen Yuzhe , Chen Hongwei , Gao Libin , Liang Kexin , Wang Zhiqiang , Zhang Jihua 
Published: December 2021

Abstract
The effect of (1-x)(Pb0.97La0.02)(Zr0.675Sn0.285Ti0.04)O3-xAl2O3, with x=0~0.04, 0.08, 0.10 composite ceramic samples was studied. In this experiment, the PLZST powder was pre-fired to obtain the perovskite structure, and then combined with α-Al2O3 to increase the BDS of the ceramic. The test results show that the composite thick film samples are all perovskite orthorhombic phases, and Al2O3 is mainly filled in the grain gaps with a flaky structure. A proper content of composite Al2O3 can increase the density of ceramics. With x=0.02, the maximum value of BDS is 25.27 kV/mm, which is 60% higher than pure PLZST material, and the releasable energy storage density also reaches a maximum of 2.95 J/cm³. After the composite amount exceeds 0.03, the saturation polarization intensity decreases significantly. The energy storage efficiency of each sample is generally not high, all of which are less than 65%.
Specific alternative splicing and polyadenylation facilitate metastasis mediated by CTC clusters
Authors: Zhang Wen , Wu Quanyou , Li Guoliang , Yang Zhenrong , Kong Defeng , Gu Zhaoru , Wan Duo , Zhang Qi , Cheng Shujun , Zhang Kaitai 
Published: December 2021

Abstract
Circulating tumor cell (CTC) clusters possess a much higher capability to seed metastasis than single CTCs. However, the mechanism underlying this phenomenon is still elusive and no reports have investigated the role of posttranscriptional RNA regulation in CTC clusters. Here, we compared alternative splicing (AS) and alternative polyadenylation (APA) profiles between single CTCs and CTC clusters. 994 and 836 AS events were identified in single CTCs and CTC clusters, separately. About ~20% of AS events exhibited alterations between both cell types. The differential splicing of SRSF6 was a core event that caused AS profiles’ disturbance and made CTC clusters more dangerous. Concerning APA, we identified global 3’ UTRs lengthening in CTC clusters compared with single CTCs. This change was mainly regulated by 14 core APA factors, especially PPP1CA. The altered APA profiles boosted the cell cycle of CTC clusters and reflected that CTC clusters endured less oxidative stress. Our study investigated the posttranscriptional regulation mechanisms in CTC clusters, found that the perturbation of AS and APA contributed to the superiority of CTC clusters compared with single CTCs, and laid the foundation for developing antisense oligonucleotides that inhibit metastasis by reducing CTC clusters.
Quantification of Left Ventricular Mass Using Two-Dimensional Transthoracic Echocardiography - A Novel Method with High Accuracy and Reproducibility
Authors: Kristensen Charlotte Burup , Myhr Katrine Aagaard , Grund Frederik Fasth , Vejlstrup Niels , Hassager Christian , Mattu Raj , Mogelvang Rasmus 
Published: December 2021

Abstract
Purpose
Increased left ventricular mass (LVM) is a strong independent predictor for adverse cardiovascular events, but conventional echocardiographic methods used to assess and monitor individuals are limited by poor reproducibility and accuracy. We aimed to develop an echocardiographic method for LVM-quantification that is simple, reproducible and accurate.
Methods
The novel method adds the mean wall thickness to the left ventricular end-diastolic volume acquired using the biplane model of discs. The mean wall thickness is acquired from the parasternal short axis view. Cardiac assessment was performed using echocardiography followed immediately by cardiac magnetic resonance in 85 subjects with different left ventricular geometries, ranging from patients with various cardiac disorders (n=41) to individuals without known cardiac disorders (n=44). We compared the novel two-dimensional (2D) method to various conventional one-dimensional (1D) and 2D methods as well as three-dimensional (3D) echocardiography.
Results
The novel method had better reproducibility in intra-examiner (coefficients of variation (CV) 9% vs. 11-14%) and inter-examiner analysis (CV 9% vs. 10-20%) than the other methods. Accuracy of the novel method was similar to 3D (mean difference±95% limits of agreement, CV): Novel: 2±50g,15% vs. 3D: 2±51g, 16%; and better than the 1D-method by Devereux (7±76g, 23%).
Conclusion
The novel 2D-based method for LVM-quantification had better reproducibility than the other echocardiographic methods. Accuracy was similar to 3D and better than conventional methods. As endocardial tracings using the biplane model forms part of the standard echocardiographic protocol, the novel method can easily be integrated into any echocardiographic software, without substantially increasing analysis time.
Listening to Bluetooth Beacons for Epidemic Risk Mitigation
Authors: Barthe Gilles , De Viti Roberta , Druschel Peter , Garg Deepak , Rodriguez Manuel Gomez , Ingo Pierfrancesco , Kremer Heiner , Lentz Matthew , Lorch Lars , Mehta Aastha , Schölkopf Bernhard 
Published: December 2021

Abstract
The ongoing COVID-19 pandemic let to efforts to develop and deploy digital contact tracing systems to expedite contact tracing and risk notification. Unfortunately, the success of these systems has been limited, partly owing to poor interoperability with manual contact tracing, low adoption rates, and a societally sensitive trade-off between utility and privacy. In this work, we introduce a new privacy-preserving and inclusive system for epidemic risk assessment and notification that aims to address these limitations. Rather than capturing pairwise encounters between user devices as done by existing systems, our system captures encounters between user devices and beacons placed in strategic locations where infection clusters may originate. Epidemiological simulations using an agent-based model demonstrate that, by utilizing location and environmental information and interoperating with manual contact tracing, our system can increase the accuracy of contact tracing actions and may help reduce epidemic spread already at low adoption.
Biomacromolecule-Functionalized Nanoparticle-Based Conjugates for Potentiation
of Anticancer Therapy
Authors: Shah Priyank , Shende Pravin 
Published: December 2021

:
Cancer is a rapidly growing life-threatening disease that affected 18.1 million people
worldwide in 2018. Various conventional techniques like surgery, radiation, and chemotherapy are
considered as a mainstream treatment for patients but show some limitations like cytotoxicity due
to off-targeted action, poor intra-tumor localization, development of multi-drug resistance by tumor
cells, physical and psychological stresses, etc. Such limitations have motivated the scientists
to work towards more patient-centric and precision therapy using advanced drug delivery systems
like liposomes, nanoparticles, nanoconjugates, etc. However, these carriers also face limitations
like poor biocompatibility, lesser payload capacity, leakage of encapsulated drug, and short-term
stability. So, this review article explores the profound insights for the development of biomacromolecule-
functionalized nanoconjugates to potentiate the anticancer activity of therapeutic agents
for various cancers like lung, colorectal, ovarian, breast and liver cancer. Researchers have shown
interest in biofunctionalized nanoconjugates because of advantages like biocompatibility, site-specificity
with better localization, higher entrapment with long-term stability and lesser off-target toxicity.
The progressive trend of biomacromolecule nanoconjugates will encourage further research for
the development of effective transport of drugs, nutraceuticals and phytoconstituents for on-site effect
at cancer microenvironment and tumor cells with higher safety profile.
Withdrawal Notice: Therapeutic Targets Underlying the Evolution of Potential Anti-Diabetic Agents: A Comprehensive Review
Authors: Tiwari Siddhita , Kaur Paranjeet , Gupta Deepali , Chaudhury Saumik , Chaudhary Manish , Chandra Avik , Sahu Sanjeev Kumar , Mittal Amit , Kumar Shubham 
Published: December 2021

The article has been withdrawn at the request of the editor of the journal Current Diabetes Reviews due to incoherent content.

Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused.

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Ultrasound-guided Treatments for the Painful Shoulder
Authors: Papalexis Nicolas , Ponti Federico , Rinaldi Raffaella , Peta Giuliano , Bruno Riccardo , Miceli Marco , Battaglia Milva , Marinelli Alessandro , Spinnato Paolo 
Published: December 2021

:
Shoulder pain is an extremely common condition. The painful shoulder may be the result
of a wide spectrum of underlying pathological conditions, including calcific tendinopathy of
the rotator cuff, subacromial-subdeltoid bursitis, acromioclavicular or glenohumeral arthritis,
tenosynovitis of the long biceps tendon, rotator cuff lesions, and many other less common conditions.
Ultrasound imaging is an effective tool for the diagnosis and also for the image guidance of
treatment of the majority of these conditions. Several ultrasound-guided procedures are effective
for pain relief, such as percutaneous irrigation, intra-bursal or intra-articular drugs injection, fluid
aspiration, neural block. This review article aims to summarize and discuss the most common treatment
possibilities with ultrasound guidance for the painful shoulder.
Differences in Attention Skill between Children with ADHD and Typically Developing Children in Indonesian Primary Schools
Authors: Muna Naeila R. , Jatnika Ratna , Purwono Urip , Siregar Juke R. 
Published: December 2021

Background:Attention Deficit Hyperactivity Disorder (ADHD) is the most common neuropsychological developmental disorder in children. ADHD is characterized by inattention, overactivity, and impulsivity. However, the attention skill is not clearly studied in children with ADHD in Indonesia.Objective:The aim of the present study was to investigate the differences in attention skill between children with ADHD and typically developing children (TD), and identify the differences between ADHD subtypes at primary schools in Bandung city Indonesia in terms of the parameter of attention.Methods:This study used the quantitative method. The population of this study was children with ADHD and typically developing (TD) school-age children. The data sampling technique was purposive sampling, consisting of 30 children as a group of ADHD children and 30 children as a group of TD children. The instrument to collect data was Wechsler Intelligence Scale for Children (WISC), Indonesian ADHD Rating Scale (IARS), and The D2 test of attention. The analysis method used t-test and SPSS V.24 for Windows.Results:This study showed significant differences in attention skill performance between children with ADHD and TD children in the variables including the total number of tasks completed, omission, commission, error rate, total amount minus errors or selective attention skill, fluctuation rate and concentration performance. There have been observed significant differences between ADHD subtypes in terms of total number, omission, commission, error rate, total amount minus errors or selective attention skill, and concentration performance.Conclusion:Children with ADHD were found to have lower results than typically developing children in terms of attention skill, inhibiting control, and ability in performance accuracy. Children with ADHD-C subtypes were found to have more inattentive tendencies, hyperactive, and impulsive compared to ADHD-I and ADHD-H. ADHD-C subtype showed more deficits than ADHD-I and ADHD-H in response inhibition and accuracy of performance.
Cefiderocol: A new Antimicrobial for Complicated Urinary Tract Infection
(CUTI) Caused by Carbapenem-resistant Enterobacteriaceae (CRE)
Authors: Chatterjee Suparna , Chakraborty Dwaipayan Sarathi , Choudhury Shouvik , Lahiry Sandeep 
Published: December 2021

:
The incidence of carbapenem-resistant gram-negative (CRGNB) bacterial infections has
increased globally. The wide diversity of strains, multiplicity of infections, and rapid development
and spread of resistance are a matter of great concern both in community and hospital settings.
Cefiderocol is a novel injectable siderophore containing cephalosporin with potent microbicidal activity
against most carbapenem-resistant Enterobacteriaceae (CRE). It has recently been approved
by USFDA for the treatment of complicated urinary tract infections (cUTI) caused by susceptible
gram-negative microorganisms.
This review focuses on the salient pharmacological profile of the drug and the clinical studies that
were undertaken.
Cefiderocol is first in class injectable siderophore cephalosporin showing potency against carbapenem-
resistant Enterobacteriaceae. It has recently been approved by US FDA for the treatment of
adult patients with complicated urinary tract infections (cUTI) caused by susceptible Gram-negative
microorganisms, where there are limited or no alternative treatment options.
Output Power Modeling of Wind Turbine Based on State Curve Analysis
Authors: Niu Wangqiang , Huang Jiaying , Wang Xiaotong 
Published: December 2021

Background:
In wind power generation, the power curve can reflect the overall power
generation performance of a wind turbine. How to make the power curve have high precision and
be easy to interpret is a hot research topic.

Objective:
Because the current power curve modeling method is not comprehensive in feature selection,
the simplified model and state curve of a wind turbine are introduced to avoid feature selection
and make the model interpret easily.

Methods:
A power modeling method based on different working conditions is proposed. The
wind turbine system is simplified into three physical models of blades, mechanical transmission
and generator, and the energy transfer is expressed by mathematical expressions. The operation
process of the wind turbine is divided into three phases: Constant Power (CP), Constant Speed
(CS), and Maximum Power Point Tracking (MPPT), and the power expression of each phase is
given after the analysis of state curves.

Results:
The effectiveness of the proposed method is verified by the Supervisory Control and
Data Acquisition (SCADA) data of a 2MW wind turbine. The experimental results show that the
Mean Absolute Percentage Error (MAPE) index of the proposed power modeling method based
on state curve analysis is 11.56%, which indicates that the power prediction result of this method
is better than that of the sixth-order polynomial regression method, whose MAPE is 13.88%.

Conclusion:
The results show that the proposed method is feasible with high transparency and is
interpreted easily.
Misinformation About and Interest in Chlorine Dioxide During the COVID-19 Pandemic in Mexico Identified Using Google Trends Data: Infodemiology Study
Authors: Chejfec-Ciociano Jonathan Matias , Martínez-Herrera Juan Pablo , Parra-Guerra Alexa Darianna , Chejfec Ricardo , Barbosa-Camacho Francisco José , Ibarrola-Peña Juan Carlos , Cervantes-Guevara Gabino , Cervantes-Cardona Guillermo Alonso , Fuentes-Orozco Clotilde , Cervantes-Pérez Enrique , García-Reyna Benjamín , González-Ojeda Alejandro 
Published: December 2021

Background
The COVID-19 pandemic has prompted the increasing popularity of several emerging therapies or preventives that lack scientific evidence or go against medical directives. One such therapy involves the consumption of chlorine dioxide, which is commonly used in the cleaning industry and is available commercially as a mineral solution. This substance has been promoted as a preventive or treatment agent for several diseases, including SARS-CoV-2 infection. As interest in chlorine dioxide has grown since the start of the pandemic, health agencies, institutions, and organizations worldwide have tried to discourage and restrict the consumption of this substance.

Objective
The aim of this study is to analyze search engine trends in Mexico to evaluate changes in public interest in chlorine dioxide since the beginning of the COVID-19 pandemic.

Methods
We retrieved public query data for the Spanish equivalent of the term “chlorine dioxide” from the Google Trends platform. The location was set to Mexico, and the time frame was from March 3, 2019, to February 21, 2021. A descriptive analysis was performed. The Kruskal-Wallis and Dunn tests were used to identify significant changes in search volumes for this term between four consecutive time periods, each of 13 weeks, from March 1, 2020, to February 27, 2021.

Results
From the start of the pandemic in Mexico (February 2020), an upward trend was observed in the number of searches compared with that in 2019. Maximum volume trends were recorded during the week of July 19-25, 2020. The search volumes declined between September and November 2020, but another peak was registered in December 2020 through February 2021, which reached a maximum value on January 10. Percentage change from the first to the fourth time periods was +312.85, –71.35, and +228.18, respectively. Pairwise comparisons using the Kruskal-Wallis and Dunn tests showed significant differences between the four periods (P<.001).

Conclusions
Misinformation is a public health risk because it can lower compliance with the recommended measures and encourage the use of therapies that have not been proven safe. The ingestion of chlorine dioxide presents a danger to the population, and several adverse reactions have been reported. Programs should be implemented to direct those interested in this substance to accurate medical information.