bluuebunny/crossref_metadata_2025_split huggingface dataset:
Encoder Lipschitz Integers: The Lipschitz integers that have the ”division with small remainder” property
Authors: Duram Ramazan , Güzeltepe Murat 
Published: December 2021

Abstract

The residue class set of a Lipschitz integer is constructed by modulo function with primitive Lipschitz integer whose norm is a prime integer, i.e. prime Lipschitz integer. In this study, we consider primitive Lipschitz integer whose norm is both a prime integer and not a prime integer. If the norm of each element of the residue class set of a Lipschitz integer is less than the norm of the primitive Lipschitz integer used to construct the residue class set of the Lipschitz integer, then, the Euclid division algorithm works for this primitive Lipschitz integer. The Euclid division algorithm always works for prime Lipschitz integers. In other words, the prime Lipschitz integers have the ”division with small remainder” property. However, this property is ignored in some studies that have a constructed Lipschitz residue class set that lies on primitive Lipschitz integers whose norm is not a prime integer. In this study, we solve this problem by defining Lipschitz integers that have the ”division with small remainder” property, namely, encoder Lipschitz integers set. Therefore, we can define appropriate metrics for codes over Lipschitz integers. Also, we investigate the performances of Lipschitz signal constellations (the left residue class set) obtained by modulo function with Lipschitz integers, which have the ”division with small remainder” property, over the additive white Gaussian noise (AWGN) channel by agency of the constellation figure of merit (CFM), average energy, and signal-to-noise ratio (SNR).
A Simple and Efficient Protocol for Hairy Root Culture of Arabidopsis Thaliana
Authors: Paul Pijush , Majumdar Sukanya , Jha Sumita 
Published: December 2021

Abstract
Hairy root culture (HRC) is a valuable biotechnological tool for the production of plant secondary metabolites. Secondary metabolome study of Arabidopsis thaliana can be helpful in understanding the biological roles of various secondary metabolites present in it and HRC constructs the base of such study. The present work deals with the establishment of Agrobacterium rhizogenes strains transformed HRC of A. thaliana with very high transformation frequency resulting in long term hairy root cultures grown in hormone free media. Optimization of culture medium and standardisation of co-cultivation period are the key role players in obtaining high frequency of hairy roots. Four days of preculture in CIM medium and five min of co-cultivation in the bacterial suspension were found to be optimal conditions for root induction. This protocol could become a powerful tool for transcriptomics and proteomics-based studies for different transgenic root lines of A. thaliana.
Neutrophil extracellular traps orchestrate formation of peritoneal adhesions
Authors: Boettcher Michael , Schönfeld Lavinia , Heuer Annika , Elrod Julia , Stiel Carolin , Raluy Laia Pagerols , Trochimiuk Magdalena , Appl Birgit , Saygi Ceren , Zlatar Leticija , Schoen Janina , Hosari Sami , Royzman Dmytro , Winkler Thomas , Grutzmann Robert , Schett Georg , Knopf Jasmin , Tomuschat Christian , Reinshagen Konrad , Herrmann Martin , Fuchs Tobias 
Published: December 2021

Abstract
Peritoneal adhesions are a poorly understood but highly prevalent condition that can lead to intestinal obstruction, pelvic pain, and infertility. While there is consensus that stress-induced inflammation triggers peritoneal adhesions, the process of their formation remained elusive to date. Herein, we show that neutrophil extracellular traps (NETs) serve as essential scaffold for adhesion formation and that DNases interfere with this process. Thus, peritoneal adhesions in murine models and in humans showed that these lesions are largely based on extracellular DNA derived from neutrophils. Furthermore, treatment with DNASE1 or a DNASE1L3 analog significantly reduced or even prevented peritoneal adhesions in experimental models. These data not only suggest that NET formation plays an essential role in peritoneal adhesions but also show that therapeutic application of DNases can prevent the formation of peritoneal adhesions.
Establishment and Functional Characterization of Immortalized Rabbit Dermal Papilla Cell Lines
Authors: Li Jiali , Zhao Bohao , Zhang Chen , Zhang Xiyu , Dai Yingying , Hu Shuaishuai , Yang Naisu , Chen Yang , Wu Xinsheng 
Published: December 2021

Abstract
Background
Hair follicle (HF) undergo periodic growth and development in mammals, which regulated by dermal papilla cells (DPCs) are reported to play an important role in the HF morphogenesis and development. However, primary DPCs have low proliferative activity, age quickly, and fresh cell isolation is both time-consuming and laborious.
Method
In this study, we introduced SV40LT into dissociated early passage rabbit vibrissae DPCs with lentiviral vectors and established seven immortalized DP cell lines (R-1, R-2, R-3, R-4, R-5, R-6 and R-7).
Result
These cell lines displayed early passage morphology and displayed high alkaline phosphatase activity. RT-PCR and immunofluorescence staining showed that all the immortalized cell lines expressed the DPC markers (α-SMA ,IGF1, ALPL, FGF2, BMP2 and TGFβ2; α-SMA and VIM protein), but α-SMA was only expressed well in R-3, R-4, and R-7. Furthermore, it was found that R-7 was the only line to survive beyond 50 passages. Compared to melanoma cells, R-7 did not undergo malignant transformation. Karyotyping and cell growth viability analysis illustrated that the R-7 cell line preserved the basic characteristics of primary DPCs.
Conclusion
The R-7 DPCs established have potential application for future hair research. The study provides the theoretical basis in the cell research of HF growth and development.
Feature-guided Deep Subdomain Adaptation Network for Dataset Mismatch in Spatial Steganalysis
Authors: Zhang Lei , Wang Hongxia , He Peisong , Abdullahi Sani M. , Li Bin 
Published: December 2021

Abstract
Steganalysis aims to detect covert communication established via steganography. In recent years, numerous deep learning-based image steganalysis methods with high performance have been proposed. However, these methods tend to suffer from distinct performance degradation when cover images in the train and test set are quite different, also known as cover source mismatch. To address this limitation, in this paper, a feature-guided deep subdomain adaptation network is proposed. Initially, the predictions of the pretrained model are used as pseudo labels to divide the unlabeled samples of the target domain into different subdomains, and the distributions of the relevant subdomains are aligned by subdomain adaptation. Afterwards, since the steganalysis model may assign incorrect predictions to samples in the target domain, we integrate guiding features to make the division of subdomains more precise. The experimental results show that the proposed network is significantly better than other three networks such as Steganalysis Residual Network (SRNet), deep adaptive network (J-Net) and Deep Subdomain Adaptation Network (DSAN), when it is used to detect three spatial steganographic algorithms with a wide variety of datasets and payloads. Especially, compared with SRNet, the average accuracy of our method is increased by 5.4% at 0.4bpp and 8.5% at 0.2bpp in the case of dataset mismatch.
Integration of Proteomics and Metabonomics in Exploring the Protecting Mechanism of Gushukang Capsule in Osteoporosis Rats
Authors: LIN Ruohui , XIE Bingying , XIE Lihua , GE Jirong , Li Shengqiang 
Published: December 2021

Abstract
Background

Gushukang (GSK) capsule is a Chinese patent medicine for the treatment of osteoporosis (OP). It has been widely used in clinics. However, the specific mechanism and target of GSK in the treatment of osteoporosis is not clear, which needs further study.
Methods

Metabolomics (GC/MS) and proteomics (TMT-LC-MC/MC) together with bioinformatics (KEGG pathway enrichment), correlation analysis (pearson correlation matrix) and joint pathway analysis (Metabo Analyst) were employed to discover the underlying mechanisms of GSK.
Results

The regulations of differential proteins Cant1, Gstz1, Aldh3b1, Bid and Slc1a3 in the common metabolic pathway of differential proteins and metabolites between GSK/OP and OP/SHAM were corrected in GSK group. The regulations of 12 metabolites (Tyramine、Thymidine、Deoxycytidine、Cytosine、L-Aspartate and so on) were differential in the common enrichment metabolic pathway between GSK /OVX and OVX/SHAM. Differential proteins and metabolites jointly regulate 11 metabolic pathways, such as purine metabolism, pyrimidine metabolism, histidine metabolism, beta-Alanine metabolism and so on.
Conclusion

GSK may protect bone metabolism in osteoporosis rats by affecting nucleotide metabolism, amino acid metabolism and immune system.
Bibliometric study of ‘overviews of systematic reviews’ of health interventions: evaluation of prevalence, citation and impact factor
Authors: Lunny Carole , Neelakant Trish , Chen Alyssa , Shinger Gavindeep , Stevens Adrienne , Tasnim Sara , Sadeghipouya Shadi , Adams Stephen , Zheng Yi Wen , Lin Lester , Yang Pei Hsuan , Dosanjh Manpreet , Ngsee Peter , Ellis Ursula , Shea Beverley J. , Reid Emma K. , Wright James M. 
Published: December 2021

Abstract
Background: Overviews synthesising the results of multiple systematic reviews help inform evidence-based clinical practice. In this first of two companion papers, we evaluate the bibliometrics of overviews, including their prevalence and factors affecting citation rates and JIF (JIF).Methods: We searched MEDLINE, Epistemonikos and Cochrane Database of Systematic Reviews (CDSR). We included overviews that: (a) synthesised reviews, (b) conducted a systematic search, (c) had a methods section, and (d) examined a healthcare intervention. Multivariable regression was conducted to determine the association between citation density, JIF and 6 predictor variables. Results: We found 1218 overviews published from 2000 to 2020; the majority (73%) were published in the most recent 5-year period. We extracted a selection of these overviews (n=541; 44%) dated from 2000 to 2018. The 541 overviews were published in 307 journals; CDSR (8%), PLOS ONE (3%) and Sao Paulo Medical Journal (2%) were the most prevalent. The majority (70%) were published in journals with impact factors between 0.05 and 3.97. We found a mean citation count of 10 overviews per year, published in journals with a mean JIF of 4.4. In multivariable analysis, overviews with a high number of citations and JIFs had more authors, larger sample sizes, were open access and reported the funding source. Conclusions: An 8-fold increase in the number of overviews was found between 2009 and 2020. We identified 332 overviews published in 2020, which is equivalent to 1 overview published per day. Overviews perform above average for the journals in which they publish.
Development and Validation of a Nomogram for Predicting Overall Survival in Patients with Second Primary Small Cell Lung Cancer After Non-Small Cell Lung Cancer: A SEER-Based Study
Authors: Zhu Ju , Ran Hao-yu , Lai Qian-cheng , Ye Liu , Shao Yue 
Published: December 2021

Abstract
Background: Non-small cell lung cancer (NSCLC) survivors are at an increased risk of developing second primary malignancies, such as small cell lung cancer. This paper sought to establish a prognostic nomogram to assess overall survival (OS) in patients with second primary small cell lung cancer (SPSCLC) after NSCLC.Methods: 420 patients who developed SPSCLC after NSCLC were randomly split into the training and validation groups. A nomogram was established by stepwise regression. Area under the curve (AUC) and calibration plots were applied to assess the prognostic performance of the nomogram. Concordance index (C-index), integrated discrimination improvement (IDI), net reclassification index (NRI) and decision curve analysis (DCA) were performed to compare the nomogram with the American Joint Committee on Cancer (AJCC) 8th staging system. Survival risk classification was constructed based on the nomogram.Results: Five variables were chosen to construct the nomogram. The AUC showed that it had a satisfactory discrimination ability. All calibration plots displayed good concordance between nomogram and observation. The C-index, IDI, NRI and DCA showed the nomogram was superior to the AJCC 8th staging system. The Kaplan-Meier curves suggested huge differences in prognosis among the three risk groups.Conclusions: This study build a nomogram and risk stratification system for predicting probabilities of OS in patients with SPSCLC after NSCLC, which can help clinicians in individualized survival assessment and treatment decisions.
REA: Resource Exergy Analysis - A basic guidline for application
Authors: Jentsch Andrej 
Published: December 2021

Abstract
This publication provides a basic guideline to the application of Resource Exergy Analysis (REA). REA is a proven application of exergy analysis to the field of technology comparison. REA aims to help decision makers to obtain an indicator in addition to GHG emissions, that is grounded in science. Resource exergy consumption can replace the less comprehensive primary energy consumption as an indictor and reduce the risk of suboptimal decisions. Evaluating energy systems using REA is key to ensure that climate targets are reached in time.
Enhanced removal of ibuprofen by heterogeneous photo-Fenton-like process over sludge-based Fe3O4-MnO2 catalysts
Authors: Liu Yanjun , Zheng Xiaoqian , Zhang Shufen , Sun Shujuan 
Published: December 2021

Abstract
Heterogeneous photo-Fenton-like catalysts with low cost, little hazard, high effectiveness and facile separation from aqueous solution were highly desirable. In this study, sludge-based catalysts combining nano Fe3O4-MnO2 and sludge activated carbon were successfully synthesized by high-temperature calcination method and then characterized. These synthetic materials were applied to remove ibuprofen in the heterogeneous photo-Fenton process. The preparation conditions of sludge-based catalysts optimized by orthogonal experiments were 2.0 M of ZnCl2, a temperature of 500 °C, a pyrolysis time of 60 min, and a sludge ratio: Fe3O4-MnO2 of 25:2. In batch experiments, the optimal experimental conditions were determined as catalyst dosage of 0.4 g·L−1, hydrogen peroxide concentration of 3.0 mL·L−1, pH value of 3.3, and contact time of 2.5 h. The degradation rate sludge/Fe3O4-MnO2 catalyst to ibuprofen is up to 95%. The removal process of ibuprofen fitted the pseudo-second-order kinetic model, and the photocatalytic degradation process was the main factor controlling the reaction rate. The catalytic mechanism was proposed according to the Fourier transform infrared analysis and mass spectrometry product analysis; it was mainly attributed to the interaction between hydroxyl groups and benzene rings.
Gestão da informação do estágio não obrigatório na coordenação de curso de pedagogia presencial da UFRN
Authors: Rocha Teresinha Pereira da , Barbosa Neto Pedro Alves 
Published: December 2021

O estágio não obrigatório é uma atividade que faz parte da formação profissional dos alunos do ensino superior. A documentação produzida para controle da atividade oferece um volume de informações pouco trabalhadas a partir da perspectiva da gestão da informação. Assim, este artigo teve como objetivo identificar as principais informações referentes à atividade de estágio supervisionado não obrigatório na Coordenação do Curso de Pedagogia presencial, com vistas à obtenção de informações relevantes para os processos de trabalho e tomadas de decisão. Trata-se de uma pesquisa descritiva, de natureza quantitativa e qualitativa. A coleta de dados foi feita por pesquisa documental, nos sistemas de controles disponíveis. Os dados coletados foram analisados por meio de estatística descritiva e do modelo de gestão da informação de McGee e Prusak (1994). As informações disponíveis apontaram que o estágio não obrigatório é uma atividade de grande interesse dos alunos, existindo estagiários em todos os períodos do curso em que há sua permissão. Porém, houve diminuição de 21% nas vagas oferecidas no período analisado. Constatou-se, também, que a maior parte das instituições concedentes são entidades privadas, no município de Natal. Concluiu-se que é importante promover a gestão das informações, incrementando o tratamento das informações armazenadas e produzindo material referente às condições de realização do estágio não obrigatório, para uso nas decisões no âmbito da Coordenação de Curso.
A Comprehensive Review on Pyranoindole-containing Agents
Authors: Catalano Alessia , Iacopetta Domenico , Ceramella Jessica , Saturnino Carmela , Sinicropi Maria Stefania 
Published: December 2021

:
A huge number of nitrogen-containing heterocyclic compounds are ubiquitous
in natural products, pharmaceuticals, and bioactive molecules. Among these, the pyranoindole
represents an important structural motif, as it constitutes the central subunit in
both the biologically active natural products and therapeutic agents. Talathermophilins,
notoamides, norgeamides, carneamides, and versicamides are examples of naturally occurring
pyranoindoles, while the well-known etodolac and pemedolac are a tetrahydropyrano[
3,4-b]indole deriving from synthetic procedures. Besides the well-known antiinflammatory
and fibrinolytic activity, molecules comprising the pyranoindole framework
have been demonstrated to exhibit various biological activities, such as antiulcer, antidepressant,
analgesic, and antiproliferative. Herein, we report the most common natural and
synthetic products bearing a pyranoindole nucleus, their syntheses, and biological activities.
Recent Insights into COVID-19 in Children and Clinical Recommendations
Authors: Castellar-López Jairo , Villamizar-Villamizar Wendy , Amaranto-Pallares Aldo , Rosales-Rada Wendy , De Los Angeles Vélez Verbel Maria , Chang Aileen , Jiménez Franklin Torres , Mendoza-Torres Evelyn 
Published: December 2021

:
Pediatric coronavirus disease 2019 (COVID-19) and multisystem inflammatory syndrome
in children (MIS-C) have been recognized in multiple countries globally. In this review, we
provide recent insights into SARS-CoV-2 infection in children from epidemiological, clinical, and
laboratory perspectives, including reports on the disease course and therapy. We highlight key features
of SARS-CoV-2 infection in children, the relationship between MIS-C and Kawasaki disease,
and summarize treatment guidelines for COVID-19 in children from institutional protocols from
Colombia, case reports, recommendations based on expert consensus, and official statements from
organizations such as the World Health Organization (WHO), United States Center for Disease
Control (CDC), Colombian Association of Infectious Diseases, and the Colombian Society of Pediatrics.
Finally, we discuss gaps in research with suggestions for future research on the pathogenesis
underlying pediatric COVID-19.
Whole-Brain Volume CT Angiography can Effectively Detect Early Ischemic
Cerebrovascular Diseases
Authors: Xiang Shi-Feng , Li Jun-Tao , Yang Su-Jun , Ding Fang-Fang , Wang Wei-Wei , Huo Shuang , Li Jian-Wen , Zhang Wei-Yong , Gao Bu-Lang 
Published: December 2021

Objective:
To investigate the role of whole-brain volume computed tomography (CT)
perfusion in assessing early ischemic cerebrovascular diseases.

Materials and Methods:
Seventy-two patients with early ischemic cerebrovascular diseases who
had undergone routine CT scan and 320-row volume CT whole-brain perfusion imaging within 8 h
after admission were retrospectively enrolled in this one-center case-sectional study. The perfusion
parameters of cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT),
time to peak (TTP), and dynamic CT angiogram (4D-CTA) were obtained and analyzed.

Results:
Among 72 patients, 29 cases with 37 cerebral ischemic lesions were found in plain CT
scan, whereas 51 cases with 76 lesions were found in whole-brain CT perfusion, with 30.6% more
patients being detected. The CBF value was significantly lower in the abnormal than normal corresponding
perfusion area in the healthy hemisphere (P<0.05), while the MTT and TTP values were
significantly higher in the abnormal than the normal corresponding area (P<0.05). 4D-CTA image
suggested that 59 cases had different degrees of stenosis or occlusion, including 11 mild, 18 moderate,
21 severe, and 9 occlusive cases. Four-D-CTA imaging could detect significantly (P<0.05)
more patients with abnormal perfusion in severe cerebral vascular stenosis or occlusion than those
with no, mild or moderate stenosis (93.33% vs. 16.67%) (P<0.05). The stenosis of intracranial and
carotid arteries was positively correlated with MTT and TTP values (P<0.05).

Conclusion:
Whole-brain volume CT angiography can comprehensively display early cerebral ischemic
lesions, cerebral blood perfusion status, and cerebral vascular stenosis, providing valuable
information for early detection of ischemic cerebral diseases and appropriate treatment planning.
A Critical Analysis of Quercetin as the Attractive Target for the Treatment
of Parkinson's Disease
Authors: Acıkara Ozlem Bahadır , Karatoprak Gökçe Şeker , Yücel Çiğdem , Akkol Esra Küpeli , Sobarzo-Sánchez Eduardo , Khayatkashani Maryam , Kamal Mohammad Amjad , Kashani Hamid Reza Khayat 
Published: December 2021

:
Parkinson's disease (PD) is a multifaceted disorder with various factors suggested to play a
synergistic pathophysiological role, such as oxidative stress, autophagy, pro-inflammatory events, and
neurotransmitter abnormalities. While it is crucial to discover new treatments in addition to preventing
PD, recent studies have focused on determining whether nutraceuticals will exert neuroprotective
actions and pharmacological functions in PD. Quercetin, a flavonol-type flavonoid, is found in many
fruits and vegetables and is recognised as a complementary therapy for PD. The neuroprotective effect
of quercetin is directly associated with its antioxidant activity, in addition to stimulating cellular defence
against oxidative stress. Other related mechanisms are activating sirtuins (SIRT1) and inducing
autophagy, in addition to induction of Nrf2-ARE and paraoxonase 2 (PON2). Quercetin, whose neuroprotective
activity has been demonstrated in many studies, unfortunately, has a disadvantage because
of its poor water solubility, chemical instability, and low oral bioavailability. It has been reported that
the disadvantages of quercetin have been eliminated with nanocarriers loaded with quercetin. The role
of nanotechnology and nanodelivery systems in reducing oxidative stress during PD provides an
indisputable advantage. Accordingly, the present review aims to shed light on quercetin's beneficial
effects and underlying mechanisms in neuroprotection. In addition, the contribution of nanodelivery
systems to the neuroprotective effect of quercetin is also discussed.