bluuebunny/crossref_metadata_2025 huggingface dataset:
A novel algorithm to detect non-wear time from raw accelerometer data using deep convolutional neural networks
Authors: Syed Shaheen , Morseth Bente , Hopstock Laila A. , Horsch Alexander
Published: April 2021

To date, non-wear detection algorithms commonly employ a 30, 60, or even 90 mins interval or window in which acceleration values need to be below a threshold value. A major drawback of such intervals is that they need to be long enough to prevent false positives (type I errors), while short enough to prevent false negatives (type II errors), which limits detecting both short and longer episodes of non-wear time. In this paper, we propose a novel non-wear detection algorithm that eliminates the need for an interval. Rather than inspecting acceleration within intervals, we explore acceleration right before and right after an episode of non-wear time. We trained a deep convolutional neural network that was able to infer non-wear time by detecting when the accelerometer was removed and when it was placed back on again. We evaluate our algorithm against several baseline and existing non-wear algorithms, and our algorithm achieves a perfect precision, a recall of 0.9962, and an F1 score of 0.9981, outperforming all evaluated algorithms. Although our algorithm was developed using patterns learned from a hip-worn accelerometer, we propose algorithmic steps that can easily be applied to a wrist-worn accelerometer and a retrained classification model.
Peripheral endocannabinoid serum level in association with repetitive transcranial magnetic stimulation (rTMS) treatment in patients with major depressive disorder
Authors: Lazary Judit , Elemery Monika , Dome Peter , Kiss Szilvia , Gonda Xenia , Tombor Laszlo , Pogany Laszlo , Becskereki Gergely , Toth Blanka , Faludi Gabor
Published: April 2021

Repetitive transcranial magnetic stimulation (rTMS) is an effective and well tolerable biological intervention in major depressive disorder (MDD) contributing to rapid symptom improvement. Molecular mechanisms underpinning the therapeutic effects of rTMS have still not been clarified. Recently published animal data implicated relevant associations with changes in endocannabinoid (eCB) brain levels during rTMS treatment, human studies, however, have not been published. In our study we assessed the detailed phenotypic spectrum of MDD and serum 2-arachidnoylglycerol (2-AG) and anandamide (AEA) levels in 18 patients with treatment-resistant depression before, immediately following, and two weeks after completion of a 10-day rTMS treatment. We found significant associations between serum 2-AG level changes from pretreatment to 2 weeks after treatment and symptom reduction. The greater the increase of 2-AG levels, the greater the improvement of depressive (p = 0.031), anxious (p = 0.007) and anhedonia symptoms (p = 0.047). Here we report for the first time a significant association of human circulating eCB and antidepressant effect of rTMS. Our data may indicate that direct stimulation of targeted brain areas can rapidly alleviate depressive complaints via activation of the eCB system.
Author Correction: HNRNPA2/B1 is upregulated in endocrine-resistant LCC9 breast cancer cells and alters the miRNA transcriptome when overexpressed in MCF-7 cells
Authors: Klinge Carolyn M. , Piell Kellianne M. , Tooley Christine Schaner , Rouchka Eric C.
Published: April 2021

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Differences in host immune populations between rhesus macaques and cynomolgus macaque subspecies in relation to susceptibility to Mycobacterium tuberculosis infection
Authors: Sibley Laura , Daykin-Pont Owen , Sarfas Charlotte , Pascoe Jordan , White Andrew D. , Sharpe Sally
Published: April 2021

Rhesus (Macaca mulatta) and cynomolgus (Macaca fasicularis) macaques of distinct genetic origin are understood to vary in susceptibility to Mycobacterium tuberculosis, and therefore differences in their immune systems may account for the differences in disease control. Monocyte:lymphocyte (M:L) ratio has been identified as a risk factor for M. tuberculosis infection and is known to vary between macaque species. We aimed to characterise the constituent monocyte and lymphocyte populations between macaque species, and profile other major immune cell subsets including: CD4+ and CD8+ T-cells, NK-cells, B-cells, monocyte subsets and myeloid dendritic cells. We found immune cell subsets to vary significantly between macaque species. Frequencies of CD4+ and CD8+ T-cells and the CD4:CD8 ratio showed significant separation between species, while myeloid dendritic cells best associated macaque populations by M. tuberculosis susceptibility. A more comprehensive understanding of the immune parameters between macaque species may contribute to the identification of new biomarkers and correlates of protection.
Clinical characteristics and prognostic factors in hypertensive anterior uveitis diagnosed with polymerase chain reaction
Authors: Yoo Woong-Sun , Kim Gyu-Nam , Chung Inyoung , Cho Min-Chul , Han Yong Seop , Kang Sang Soo , Yun Seung Pil , Seo Seong-Wook , Kim Seong-Jae
Published: April 2021

Aim of the study is to report the clinical characteristics and prognostic factors in hypertensive anterior uveitis (AU) diagnosed with multiplex polymerase chain reaction (PCR). Eighty-eight eyes of 88 patients with hypertensive AU were enrolled from 2015 to 2019 in a tertiary center in South Korea. All patients underwent multiplex PCR that was performed using aqueous humor samples collected at first visit to detect the DNA of six herpesviruses. Twenty-eight (31.8%) eyes were PCR positive. Herpes simplex virus was found in 6 (6.8%) eyes, varicella-zoster virus in 7 (8.0%) eyes, cytomegalovirus in 14 (15.9%) eyes, and Epstein–Barr virus in 1 (1.1%) eye. On multivariate regression analysis, PCR positivity was significantly associated with coin-shaped keratic precipitates (odds ratio (OR) = 6.01, P = 0.044). Recurrence and final visual acuity were significantly associated with a presumed diagnosis of viral endotheliitis (OR = 21.69, P = 0.04 and OR = 6.3, P = 0.004, respectively). This study showed the importance of PCR positivity, suggesting that identification of the virus through active PCR testing could affect the course, treatment, and prognosis of hypertensive AU.
A sensitivity study on carbon nanotubes significance in Darcy–Forchheimer flow towards a rotating disk by response surface methodology
Authors: Shafiq Anum , Sindhu Tabassum Naz , Al-Mdallal Qasem M.
Published: April 2021

The current research explores incremental effect of thermal radiation on heat transfer improvement corresponds to Darcy–Forchheimer (DF) flow of carbon nanotubes along a stretched rotating surface using RSM. Casson carbon nanotubes’ constructed model in boundary layer flow is being investigated with implications of both single-walled CNTs and multi-walled CNTs. Water and Ethylene glycol are considered a basic fluid. The heat transfer rate is scrutinized via convective condition. Outcomes are observed and evaluated for both SWCNTs and MWCNTs. The Runge–Kutta Fehlberg technique of shooting is utilized to numerically solve transformed nonlinear ordinary differential system. The output parameters of interest are presumed to depend on governing input variables. In addition, sensitivity study is incorporated. It is noted that sensitivity of SFC via SWCNT-Water becomes higher by increasing values of permeability number. Additionaly, sensitivity of SFC via SWCNT-water towards the permeability number is higher than the solid volume fraction for medium and higher permeability levels. It is also noted that sensitivity of SFC (SWCNT-Ethylene-glycol) towards volume fraction is higher for increasing permeability as well as inertia coefficient. Additionally, the sensitivity of LNN towards the Solid volume fraction is higher than the radiation and Biot number for all levels of Biot number. The findings will provide initial direction for future device manufacturing.
Short term survival of critically ill COVID-19 Egyptian patients on assisted ventilation treated by either Dexamethasone or Tocilizumab
Authors: Rashad Alaa , Mousa Sherif , Nafady-Hego Hanaa , Nafady Asmaa , Elgendy Hamed
Published: April 2021

Tocilizumab (TCZ) and Dexamethasone are used for the treatment of critically ill COVID-19 patients. We compared the short-term survival of critically ill COVID-19 patients treated with either TCZ or Dexamethasone. 109 critically ill COVID-19 patients randomly assigned to either TCZ therapy (46 patients) or pulse Dexamethasone therapy (63 patients). Age, sex, neutrophil/ lymphocyte ratio, D-dimer, ferritin level, and CT chest pattern were comparable between groups. Kaplan–Meier survival analysis showed better survival in Dexamethasone group compared with TCZ (P = 0.002), patients didn’t need vasopressor at admission (P < 0.0001), patients on non-invasive ventilation compared to patients on mechanical ventilation (P<0.0001 ), and in patients with ground glass pattern in CT chest (P<0.0001 ) compared with those who have consolidation. Cox regression analysis showed that, TCZ therapy (HR = 2.162, 95% CI, 1.144–4.087, P <0.0001) compared with Dexamethasone group, higher neutrophil/Lymphocyte ratio (HR = 2.40, CI, 1.351–4.185, P = 0.003), lower PaO2/FiO2, 2 days after treatment, (HR = 1.147, 95% CI, 1.002–1.624, P < 0.0001) independently predicted higher probability of mortality. Dexamethasone showed better survival in severe COVID-19 compared to TCZ. Considering the risk factors mentioned here is crucial when dealing with severe COVID-19 cases.

Clinical trial registration No clinicalTrials.gov: Nal protocol approved by Hospital
Authorities, for data collection and for participation in CT04519385 (19/08/2020).
Life stage-specific inbreeding depression in long-lived Pinaceae species depends on population connectivity
Authors: Ahlinder Jon , Giles Barbara E. , García-Gil M. Rosario
Published: April 2021

Inbreeding depression (ID) is a fundamental selective pressure that shapes mating systems and population genetic structures in plants. Although it has been shown that ID varies over the life stages of shorter-lived plants, less is known about how the fitness effects of inbreeding vary across life stages in long-lived species. We conducted a literature survey in the Pinaceae, a tree family known to harbour some of the highest mutational loads ever reported. Using a meta-regression model, we investigated distributions of inbreeding depression over life stages, adjusting for effects of inbreeding levels and the genetic differentiation of populations within species. The final dataset contained 147 estimates of ID across life stages from 41 studies. 44 Fst estimates were collected from 40 peer-reviewed studies for the 18 species to aid genetic differentiation modelling. Partitioning species into fragmented and well-connected groups using Fst resulted in the best way (i.e. trade-off between high goodness-of-fit of the model to the data and reduced model complexity) to incorporate genetic connectivity in the meta-regression analysis. Inclusion of a life stage term and its interaction with the inbreeding coefficient (F) dramatically increased model precision. We observed that the correlation between ID and F was significant at the earliest life stage. Although partitioning of species populations into fragmented and well-connected groups explained little of the between-study heterogeneity, the inclusion of an interaction between life stage and population differentiation revealed that populations with fragmented distributions suffered lower inbreeding depression at early embryonic stages than species with well-connected populations. There was no evidence for increased ID in late life stages in well-connected populations, although ID tended to increase across life stages in the fragmented group. These findings suggest that life stage data should be included in inbreeding depression studies and that inbreeding needs to be managed over life stages in commercial populations of long-lived plants.
Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit
Authors: Shung Dennis , Huang Jessie , Castro Egbert , Tay J. Kenneth , Simonov Michael , Laine Loren , Batra Ramesh , Krishnaswamy Smita
Published: April 2021

Acute gastrointestinal bleeding is the most common gastrointestinal cause for hospitalization. For high-risk patients requiring intensive care unit stay, predicting transfusion needs during the first 24 h using dynamic risk assessment may improve resuscitation with red blood cell transfusion in admitted patients with severe acute gastrointestinal bleeding. A patient cohort admitted for acute gastrointestinal bleeding (N = 2,524) was identified from the Medical Information Mart for Intensive Care III (MIMIC-III) critical care database and separated into training (N = 2,032) and internal validation (N = 492) sets. The external validation patient cohort was identified from the eICU collaborative database of patients admitted for acute gastrointestinal bleeding presenting to large urban hospitals (N = 1,526). 62 demographic, clinical, and laboratory test features were consolidated into 4-h time intervals over the first 24 h from admission. The outcome measure was the transfusion of red blood cells during each 4-h time interval. A long short-term memory (LSTM) model, a type of Recurrent Neural Network, was compared to a regression-based models on time-updated data. The LSTM model performed better than discrete time regression-based models for both internal validation (AUROC 0.81 vs 0.75 vs 0.75;P < 0.001)and external validation (AUROC 0.65 vs 0.56 vs 0.56;P < 0.001). A LSTM model can be used to predict the need for transfusion of packed red blood cells over the first 24 h from admission to help personalize the care of high-risk patients with acute gastrointestinal bleeding.
NK1 antagonists attenuate tau phosphorylation after blast and repeated concussive injury
Authors: Corrigan Frances , Cernak Ibolja , McAteer Kelly , Hellewell Sarah C. , Rosenfeld Jeffrey V. , Turner Renée J. , Vink Robert
Published: April 2021

Exposure to repeated concussive traumatic brain injury (TBI) and to blast-induced TBI has been associated with the potential development of the neurodegenerative condition known as chronic traumatic encephalopathy (CTE). CTE is characterized by the accumulation of hyperphosphorylated tau protein, with the resultant tau tangles thought to initiate the cognitive and behavioral manifestations that appear as the condition progresses. However, the mechanisms linking concussive and blast TBI with tau hyperphosphorylation are unknown. Here we show that single moderate TBI, repeated concussive TBI and blast-induced mild TBI all result in hyperphosphorylation of tau via a substance P mediated mechanism. Post-injury administration of a substance P, NK1 receptor antagonist attenuated the injury-induced phosphorylation of tau by modulating the activity of several key kinases including Akt, ERK1/2 and JNK, and was associated with improvement in neurological outcome. We also demonstrate that inhibition of the TRPV1 mechanoreceptor, which is linked to substance P release, attenuated injury-associated tau hyperphosphorylation, but only when it was administered prior to injury. Our results demonstrate that TBI-mediated stimulation of brain mechanoreceptors is associated with substance P release and consequent tau hyperphosphorylation, with administration of an NK1 receptor antagonist attenuating tau phosphorylation and associated neurological deficits. NK1 antagonists may thus represent a pharmacological approach to attenuate the potential development of CTE following concussive and blast TBI.
Serum syndecan-1 reflects organ dysfunction in critically ill patients
Authors: Suzuki Keiko , Okada Hideshi , Sumi Kazuyuki , Tomita Hiroyuki , Kobayashi Ryo , Ishihara Takuma , Kakino Yoshinori , Suzuki Kodai , Yoshiyama Naomasa , Yasuda Ryu , Kitagawa Yuichiro , Fukuta Tetsuya , Miyake Takahito , Okamoto Haruka , Doi Tomoaki , Yoshida Takahiro , Yoshida Shozo , Ogura Shinji , Suzuki Akio
Published: April 2021

Syndecan-1 (SDC-1) is found in the endothelial glycocalyx and shed into the blood during systemic inflammatory conditions. We investigated organ dysfunction associated with changing serum SDC-1 levels for early detection of organ dysfunction in critically ill patients. To evaluate the effect of SDC-1 on laboratory parameters measured the day after SDC-1 measurement with consideration for repeated measures, linear mixed effects models were constructed with each parameter as an outcome variable. A total of 94 patients were enrolled, and 831 samples were obtained. Analysis using mixed effects models for repeated measures with adjustment for age and sex showed that serum SDC-1 levels measured the day before significantly affected several outcomes, including aspartate aminotransferase (AST), alanine transaminase (ALT), creatinine (CRE), blood urea nitrogen (BUN), antithrombin III, fibrin degradation products, and D-dimer. Moreover, serum SDC-1 levels of the prior day significantly modified the effect between time and several outcomes, including AST, ALT, CRE, and BUN. Additionally, increasing serum SDC-1 level was a significant risk factor for mortality. Serum SDC-1 may be a useful biomarker for daily monitoring to detect early signs of kidney, liver and coagulation system dysfunction, and may be an important risk factor for mortality in critically ill patients.
A small interfering RNA (siRNA) database for SARS-CoV-2
Authors: Medeiros Inácio Gomes , Khayat André Salim , Stransky Beatriz , Santos Sidney , Assumpção Paulo , de Souza Jorge Estefano Santana
Published: April 2021

Coronavirus disease 2019 (COVID-19) rapidly transformed into a global pandemic, for which a demand for developing antivirals capable of targeting the SARS-CoV-2 RNA genome and blocking the activity of its genes has emerged. In this work, we presented a database of SARS-CoV-2 targets for small interference RNA (siRNA) based approaches, aiming to speed the design process by providing a broad set of possible targets and siRNA sequences. The siRNAs sequences are characterized and evaluated by more than 170 features, including thermodynamic information, base context, target genes and alignment information of sequences against the human genome, and diverse SARS-CoV-2 strains, to assess possible bindings to off-target sequences. This dataset is available as a set of four tables, available in a spreadsheet and CSV (Comma-Separated Values) formats, each one corresponding to sequences of 18, 19, 20, and 21 nucleotides length, aiming to meet the diversity of technology and expertise among laboratories around the world. A metadata table (Supplementary Table S1), which describes each feature, is also provided in the aforementioned formats. We hope that this database helps to speed up the development of new target antivirals for SARS-CoV-2, contributing to a possible strategy for a faster and effective response to the COVID-19 pandemic.
An analysis of self-ignition of mine waste dumps in terms of environmental protection in industrial areas in Poland
Authors: Smoliński Adam , Dombek Václav , Pertile Eva , Drobek Leszek , Gogola Krzysztof , Żechowska Sylwia W. , Magdziarczyk Małgorzata
Published: April 2021

The aim of the paper was to work out a new comprehensive methodology to monitor thermal activity at mine waste dumps. The methodology was tested through monitoring thermal phenomena occurring in the areas of extractive waste dumping facilities located in the Upper Silesian Coal Basin, Poland. Within the framework of the study, a comparative analysis of three waste dumps was performed; the first two of them, which were not previously reclaimed, are in part thermally active, whereas the third one comprises one section which was partially reclaimed and another section which is still being operated. The research objective was to observe the changes of atmospheric emissions of Polycyclic Aromatic Hydrocarbons (PAHs) from the three selected facilities within the period of 21 months of constant monitoring. The novelty of the methodology of thermal activity monitoring at burning mine waste dumps consisted in the application advanced chemometrics methods. The collected data were analyzed by means of the Hierarchical Clustering Analysis supplemented with a color map of the experimental results. Based on the newly developed methodology, it was determined that thermal processes occur in all of the three analyzed sites. The non-reclaimed waste dumps characterize of intense thermal phenomena covering the majority of the studied area. It was also observed that the most intensive thermal activity occurs in the central sections of the dumps with temperature values reaching the level of 600 °C accompanied by high emissions of PAHs. In addition, the research results demonstrate that despite the reclamation processes, there are certain areas which still remain thermally active in one of the studied extractive waste dumps. This manifested itself by high measured concentrations of all the analyzed PAHs and locally increased surface temperatures which, however, did not exceed 200 °C; the majority of the areas of the reclaimed waste dump characterized of temperatures in the range of 20–30 °C.
Regulatory T cells induce polarization of pro-repair macrophages by secreting sFGL2 into the endometriotic milieu
Authors: Hou Xin-Xin , Wang Xiao-Qiu , Zhou Wen-Jie , Li Da-Jin
Published: April 2021

An increased number of highly active regulatory T cells (Tregs) and macrophages has been found in peritoneal fluid from women with endometriosis. Here, we show that the level of Tregs-derived soluble fibrinogen-like protein 2 (sFGL2) increases in the peritoneal fluid of women with endometriosis. Higher expression of FGL2 and its receptor CD32B is observed in eutopic endometrium and ectopic tissues. The production of sFGL2 in Tregs may be enhanced by several cytokines. sFGL2 selectively induces pro-repair macrophage polarization mainly through the activation of the SHP2-ERK1/2-STAT3 signaling pathway, and the suppression of the NF-κB signaling pathway. Furthermore, sFGL2 induces a much higher level of metallothionein (MT) expression that in turn facilitates pro-repair macrophages polarization. sFGL2-induced pro-repair macrophages promote Th2 and Tregs differentiation, creating a positive feedback loop. These findings suggest that sFGL2 secreted by Tregs skews macrophages toward a pro-repair phenotype via SHP2-ERK1/2-STAT3 signaling pathway, which is involved in the progression of endometriosis.
Intrinsic hydroquinone-functionalized aggregation-induced emission core shows redox and pH sensitivity
Authors: Wang Mengshi , Wang Yuanheng , Hu Renjian , Yuan Jinying , Tian Mei , Zhang Xiaoyong , Shuai Zhigang , Wei Yen
Published: April 2021

Aggregation-induced emission (AIE) fluorophores exhibit strong fluorescence in an aggregated state but emit no or weak fluorescence in dilute solutions. This emerging class of AIE optical materials comprise a variety of functionalities. Here an AIE luminescence core, 1-hydroquinol-1,2,2-triphenylethene (HQTPE), has been designed and synthesized. This AIE core is simple but is fundamentally important to chemistry because of its intrinsic redox and pH activities. The incorporation of hydroquinone (HQ) moiety into a common AIE core tetraphenylethene (TPE) yields HQTPE with unique fluorescent properties like nonlinear self-quenching over most other AIE-active fluorophores (AIEgens) so far reported. There are differences of photochemical properties between HQTPE, 1-benzoquinol-1,2,2-triphenylethene (QTPE, the oxidized counterpart) and its anions. Interestingly, as the solution concentration is increased, AIEgen HQTPE shows stronger fluorescence but QTPE exhibits rapid quenching of fluorescence in a nonlinear fashion, which are in agreement with theoretical studies. The fluorescence of HQTPE is also highly dependent on the pH value of media. We have further explored HQTPE as an ultrasensitive redox probe and efficient deoxidizer, which could lead to potential applications in health care, food security, environmental monitoring, optic and electronic devices.
Multiscale statistical physics of the pan-viral interactome unravels the systemic nature of SARS-CoV-2 infections
Authors: Ghavasieh Arsham , Bontorin Sebastiano , Artime Oriol , Verstraete Nina , De Domenico Manlio
Published: April 2021

Protein–protein interaction networks have been used to investigate the influence of SARS-CoV-2 viral proteins on the function of human cells, laying out a deeper understanding of COVID–19 and providing ground for applications, such as drug repurposing. Characterizing molecular (dis)similarities between SARS-CoV-2 and other viral agents allows one to exploit existing information about the alteration of key biological processes due to known viruses for predicting the potential effects of this new virus. Here, we compare the novel coronavirus network against 92 known viruses, from the perspective of statistical physics and computational biology. We show that regulatory spreading patterns, physical features and enriched biological pathways in targeted proteins lead, overall, to meaningful clusters of viruses which, across scales, provide complementary perspectives to better characterize SARS-CoV-2 and its effects on humans. Our results indicate that the virus responsible for COVID–19 exhibits expected similarities, such as to Influenza A and Human Respiratory Syncytial viruses, and unexpected ones with different infection types and from distant viral families, like HIV1 and Human Herpes virus. Taken together, our findings indicate that COVID–19 is a systemic disease with potential effects on the function of multiple organs and human body sub-systems.
Nitrogen concentration and anisotropic effects on the EPR spectra of natural diamonds
Authors: Litvak Ira , Cohen Haim , Anker Yaakov , Ruthstein Sharon
Published: April 2021

EPR spectroscopy of pre-color treated natural diamonds – yellow and green: correlation between natural pre colored diamond paramagnetic centers and nitrogen concentration.
Enhanced NO-induced angiogenesisviaNO/H2S co-delivery from self-assembled nanoparticles
Authors: Lee Jieun , Yang Chungmo , Ahn Sangeun , Choi Yeonjeong , Lee Kangwon
Published: April 2021

The simultaneous delivery of NO and H2S from prepared self-assembled polymeric nanoparticles shows advantages of a controlled release concentration and improved angiogenic propertiesin vitroandex vivoby a synergistic effect.
Theophylline-induced synergic activation of guide RNA to control CRISPR/Cas9 function
Authors: Liu Yan , Wang Yang , Lin Jiao , Xu Liang
Published: April 2021

Ligand-activated CRISPR/Cas9 function is designed through synergic regulation of gRNA with integration of the theophylline aptamer via communication modules.
2D cocrystal engineering: switching the robust carboxylic acid–pyridine supramolecular heterosynthon via an oriented external electric field
Authors: Hong Ye , Wang Lu , Wang Sheng-Fu , Wang Dong , Chen Ting
Published: April 2021

The response of 2D cocrystals with the carboxylic acid–pyridine supramolecular heterosynthon to the oriented external electric field is identified on solid surfaces.
In situ injection of dual-delivery PEG based MMP-2 sensitive hydrogels for enhanced tumor penetration and chemo-immune combination therapy
Authors: Yan Jianqin , Zhang Zhuangzhuang , Zhan Xiaohui , Chen Keqi , Pu Yuji , Liang Yan , He Bin
Published: April 2021

Improving the deep penetration of nanoparticles and realizing the combination of chemotherapy and immunotherapy have become a promising strategy for cancer treatment.
Effect of dz2 orbital electron-distribution of La-based inorganic perovskites on surface kinetics of a model reaction
Authors: Nzuzo Yamkela , Adeyinka Adedapo , Carleschi Emanuela , Doyle Bryan P. , Bingwa Ndzondelelo
Published: April 2021

Lanthanum-based perovskites, LaMO3 (M = Co, Fe, Mn, Ni, Cr, Cu, Zn) were synthesized using sol–gel method and characterised using both physical and chemical techniques.
Design of a novel poly(aryl ether nitrile)-based composite ultrafiltration membrane with improved permeability and antifouling performance using zwitterionic modified nano-silica
Authors: Wang Qi , Dai Fengna , Zhang Shangying , Wang Mengxia , Chen Chunhai , Yu Youhai
Published: April 2021

Zwitterionic nano-silica (SiO2 NPs) obtained by lysine surface modification was used as a hydrophilic inorganic filler for preparing a poly(aryl ether nitrile) (PEN) nanocomposite membrane via an immersion precipitation phase inversion method.
Conformational stability as a quality attribute for the cell therapy raw material human serum albumin
Authors: Wynendaele Evelien , Ma Gamaliel Junren , Xu Xiaolong , Cho Nam-Joon , De Spiegeleer Bart
Published: April 2021

An overall attribute for the consistency in pharmaceutical quality of human serum albumin encompasses a global measure of conformational stability, as measured by CD, DLS, QCM-D or LSPR.
Performance of gamma-Al2O3decorated with potassium salts in the removal of CS2from C5cracked distillate
Authors: Zhang Xiance , Zhou Guanglin , Wang Mengying , Wang Xiaosheng , Jiang Weili , Zhou Hongjun
Published: April 2021

Deep desulfurization is a key process for the production of high value-added products from C5distillates.
Acid-treated multi-walled carbon nanotubes as additives for negative active materials to improve high-rate-partial-state-of-charge cycle-life of lead-acid batteries
Authors: Dong Li , Chen Chunhua , Wang Jiejie , Li Hongwei , Zheng Hui , Yan Wei , Chung-Yen Jung Joey , Zhang Jiujun
Published: April 2021

100 ppm aMWCNTs were incorporated into the NAMs of LABs. The oxygen-containing groups on the aMWCNTs induced the formation of interconnected domino-like Pb slices in the NAMs. Thus, the HRPSoC cycle-life of the simulated cell was improved by 50%.
Retraction: Self-association of L-periaxin occurs via its acidic domain and NLS2/NLS3, and affects its trafficking in RSC96 cells
Authors: Yang Yenan , Liang Min , Shi Yawei
Published: April 2021

Retraction of ‘Self-association of L-periaxin occurs via its acidic domain and NLS2/NLS3, and affects its trafficking in RSC96 cells’ by Yenan Yang et al., RSC Adv., 2017, 7, 44112–44123, DOI: 10.1039/C7RA06853K
Correction: Nanozymes go oral: nanocatalytic medicine facilitates dental health
Authors: Chen Xiaohang , Xing Helin , Zhou Zilan , Hao Yujia , Zhang Xiaoxuan , Qi Feng , Zhao Jing , Gao Lizeng , Wang Xing
Published: April 2021

Correction for ‘Nanozymes go oral: nanocatalytic medicine facilitates dental health’ by Xiaohang Chen et al., J. Mater. Chem. B, 2021, 9, 1491–1502, DOI: 10.1039/d0tb02763d.
Magical polyhedral twist via chemical unit co-substitution in LaAlO3:Mn4+ to greatly enhance the zero phonon line for high-efficiency plant-growth LEDs
Authors: Li Siyuan , Zhu Qi , Sun Xudong , Li Ji-Guang
Published: April 2021

Chemical unit co-substitution gives rise to a significant octahedral tilting distortion and a decreased symmetry of MnO6 and thus greatly enhances the zero phonon line of Mn4+ in LaAlO3.
Potential anticancer activities ofRhus coriaria(sumac) extract against human cancer cell lines
Authors: A. Gabr Sami , H. Alghadir Ahmad
Published: April 2021

Therapeutic strategies of plant origin are a better choice as both dietary plant products or its isolated active constituents against the development and progression of cancer. The present study aims to evaluate the anticancer activity of sumac (Rhus coriaria) against different human cancer MCF-7, PC-3, and SKOV3 cell lines. In addition, the study tries to explore a prospective mechanism of action, assessment of in vitro enzyme-inhibitory capacity of sumac extract against hCA I, II, IX, and XII. In the present study, the potential antitumor effects of sumac (Rhus coriaria) were explored in the human cancer cell lines; MCF-7, PC-3, and SKOV3 using in vitro assays. Apoptotic, cell survival, ELISA immunoassays were also conducted to reveal the inhibitory effects of sumac extract against hCA I, II, IX, and XII. In addition, both Clioquinol and Acetazolamide (AZM) were used as standards to explore the in vitro enzyme-inhibitory capacity of sumac extract against hCA I, II, IX, and XII. The hydro-alcoholic extract of R. coriaria (Sumac) was subjected to phytochemical analysis using GC/MS assays. Sumac at non-cytotoxic doses of 50 and 100 µM significantly modulates the growth of the MCF-7, PC-3, and SKOV3 cancer cells with a higher inhibitory effect and selectivity to carbonic anhydrase (CA) isoforms; hCA I, II, hCA IX, and XII. The data showed that sumac at doses of 50 and 100 µM significantly inhibited the growth, proliferation, and viability of cancer cells by activating the apoptotic process via caspase-3 overexpression and the regulation of Bcl-2 anti-apoptotic protein.
Brain tumour cell segmentation and detection using deep learning networks
Authors: Bagyaraj Sanjeevirayar , Tamilselvi Rajendran , Mohamed Gani Parisa Beham , Sabarinathan Devanathan
Published: April 2021

Medical science is a challenging area for various problems associated with health care and there always exists scope for continuous medical research. The major challenges in medical imaging are in the region of lesion, segmentation and classification of tumours in the brain. Several technical challenge exists in the classification due to the variation in the tumour size, shape, texture information and location. There is a need for automatic identification of high‐grade glioma (HGG) and lower‐grade glioma (LGG). The management and grade of brain tumour depend on the depth of the tumour. Due to its irregular features, manual segmentation involves longer time and also increases the misclassification rate. Inspired by these issues, this paper introduces two automatic deep learning networks called U‐Net‐based deep convolution network and U‐Net with dense network. The proposed method is evaluated in our own brain tumour image database consisting of 300 high‐grade brain tumour cases and 200 normal cases. To improve the overall efficiency of the network, data augmentation is applied in both training and validation. The proposed U‐Net‐based Dense Convolutional Network (DenseNet) architecture is compared with the performance of U‐Net architecture and concluded that the proposed DenseNet produces a higher dice value. The validation results have revealed that our proposed method can have better segmentation efficiency. Also, the performance of the proposed DenseNet achieved better results compared with the state‐of‐the‐art algorithms. Validation of the test images proves that segmented output classification of tumour risk and the normal region produces a sensitivity of 88.7%, Jaccard index of 0.839, dice score value of 0.911, F1 score of 0.906 and specificity of 100% using U‐Net‐based DenseNet architecture.
A method of data transmission technology for line condition monitoring in smart transmission grid
Authors: Li Congcong , Wang Qing , Jing Zhen , Zhu Hongxia , Wang Pingxin , Yu Chao
Published: April 2021

In order to make the operation of the line more safe and reliable, the state monitoring is needed and the remote transmission of data is realized on this basis. This paper proposes a variety of communication modes suitable for transmission line condition monitoring data transmission. The corresponding communication system design is given for different application conditions. The development and application of data transmission technology for condition monitoring of transmission lines are discussed in combination with two different schemes of typical design and distributed intelligent fault diagnosis system.
A Novel Multi-Step Cross-Decomposition Method Based on Wavelet Transform for Wind Power Prediction
Authors: Lang Jianxun
Published: April 2021

One of the main approaches to improve wind power prediction accuracy is to decompose wind-speed into different frequency-band components and use them as inputs of prediction model. Among the decomposition methods, wavelet transform is widely used due to its flexibility. However, the decomposition level and wavelet function need to be selected through trail-and-error, which is also called empirical decomposition method, because the effectiveness of a certain selection depends on the characteristic of wind farm and the prediction model. Therefore, it is difficult to find a general decomposition method that can be effective on different prediction models and wind farms. Aiming at this problem, a novel multi-step cross-decomposition method is proposed in this paper. The proposed method decomposes the wind-speed and power alternatively in each step, and after three steps of decomposition, the wind-speed can be decomposed to four different frequency-band components which will be used as the input of the prediction model. The prediction errors of proposed method and several empirical decomposition methods are compared on BPNN and SVM models. The results show that the proposed method is the only effective method on two prediction models for four wind farms.
Application of a new seismic reflection imaging system TSP-SK in tunnel advanced geological prediction
Authors: Xu Ming-xian , Wei Yong-xia , Li Jun-jie
Published: April 2021

When there are water rich-karst caves or large faults in front of the tunnel face, blind construction may easily cause safety accidents such as water inrush, mud outburst and collapse. Using advanced geological prediction methods to predict the spatial distribution of unfavorable geological bodies can greatly reduce construction risks. This paper introduces a new seismic reflection imaging system TSP-SK, and discusses the features, working mode and data processing methods of the prediction system, and verifies the reliability of TSP-SK through practical tunnel engineering prediction case. The result shows that TSP-SK can collect high signal-to-noise ratio seismic reflection data with little interference from clean first arrival when the water sealing effect of explosives in the borehole is good. Good reflection wave pickup effect can be obtained when the maximum gain of inverse Q filter and Q value are taken in the range of 15 to 30. The prediction results of TSP-SK are in good agreement with the actual excavation results, that is, the areas with low P-wave velocity indicate poor rock mass quality, and the area of low S-wave velocity is more likely to produce water from construction.
Analysis of Influencing Factors of Heat Load of Heating Power Station
Authors: Lu Yu , Li Rui
Published: April 2021

Heating system load forecasting is very important in heating system planning and formulating heating plans. More accurate load forecasting can obtain greater economic and social benefits for the heating power station. The selection of influencing factors affecting heating load forecasting has a decisive effect on the accuracy of load forecasting. Based on the analysis of heat load of typical heating power station, this paper compares and analyses the influence of outdoor temperature, wind speed and load of previous days, etc. The main factors that should be considered in heating load forecasting are obtained.
Research on Evaluation and Optimization Methods of Power Grid Investment Projects Based on Effectiveness Contribution
Authors: Mei Shiyan , Hou Kai , Chen Ming , Hu Jinlan , Chen Chao
Published: April 2021

Facing the current complex operation and management situation, power grid companies must improve the level of precision investment and improve the efficiency of project input and output. Based on the different goals of project investment, this paper uses comprehensive benefit evaluation methods to carry out micro-investment demand analysis from the project dimension, builds a quantitative evaluation index system for comprehensive benefits of power grid projects based on effectiveness contribution evaluation, and combines the analytic hierarchy process and entropy weight method to determine the index weights. Analyze the contribution degree of each project to the power grid after it is put into production through indicators, and realize the priority ranking of power grid investment projects according to the comprehensive benefit evaluation score of the project. The research results can provide reference and reference for improving the output efficiency of power grid investment projects.
Research on the Construction of NC Technology Course Based on OBE
Authors: Lei Fan , Zhihui Xing , Xiaolin Zhang
Published: April 2021

This paper mainly discusses and studies the course construction of NC technology from the course location in the personnel training, the relationship with the orientation and training objectives of the major, the current situation of the course, and the key points and contents of the course construction.
Design and Research of Handheld Automatic Refractor
Authors: Zhao Changfu , Ding Hongchang , Cao Guohua , Hou Han
Published: April 2021

The existing refractors are mainly fixed devices, and require different degrees of cooperation during the refraction process, which takes a long time and is relatively easy for adults, but it is difficult for preschoolers and people with difficulties in cooperation. Optometry. In this paper, by designing a handheld automatic refractor, the composition, working principle and working process of the refractor are introduced. Through benchmarking experiments with the existing traditional refractor, the experiment shows that the accuracy of the diopter detection by the algorithm in this paper is less than 0.05D, and the detection time is about 5s. The speed is fast and the operation is simple, which solves the problem of vision screening for preschool children or those with disabilities.
State Evaluation Model of High voltage Switchgear Based on Fuzzy Set-valued Statistical Method and Kernel Vector Space Model
Authors: Xian Zhang , Qian Xiong , Changkui Cheng , Yuzhe Li , Liangliang Liao , Shuang Shi , Yobo Liu
Published: April 2021

The traditional high voltage switchgear (HVS) state evaluation model mostly adopts electrical test, live detection and historical data, neglecting the influence of real-time operation data of HVS composition equipment on the state evaluation results. This paper proposes a HVS operation state evaluation model based on fuzzy set-valued statistics method and kernel vector space model based on electrical test data and on-line monitoring data. First of all, according to the components of high voltage switchgear, the operation state of HVS is described and the evaluation index system is established. Secondly, the fuzzy set-valued statistics method is used to construct the mathematical model of evaluation index weight. Then, the kernel vector space model is introduced, and the Gaussian kernel function is used to map the sample to the features of the high-dimensional feature space. The indicator vector of the sample data and the ideal indicator vector of the high-voltage switchgear operation status level standard are defined in the high-dimensional feature space, and the angle-weighted cosine between the two vectors is calculated as the closeness of the sample to the standard status level, and then the high-voltage switchgear operation status level is obtained. Finally, the real data of a power supply company in western China are simulated. The results show that the greater the closeness degree is, the closer the HVS corresponding to the sample is to the normal state, on the contrary, the smaller the closeness degree is, the closer the HVS is to the fault state.
Modelling and simulation on a novel meat grinder circuit for the dynamic pulsed power load
Authors: Ye Wenyi , Xu Weidong , Fu Rongyao , Xu Rong , Fu Zunjing , Tian Wen , Zhang Dongdong , Yan Ping
Published: April 2021

Compared with the capacitive pulsed power supply (CPPS), the inductive pulsed power supply (IPPS) is considered to have broader prospects because of its theoretically higher energy densities. Most recent researches focus on characteristics of the IPPS with a fixed load, which is rather different from practical applications from the engineering point of view. In this paper, with the purpose of preliminarily verifying the IPPS’s feasibility, the performance of the novel meat grinder circuit with a dynamic load model is presented and analysed under PSpice environment. The analysis model is based on the parameters of the four-module IPPS and the pulsed power load built in Institute of Electrical Engineering. Finally, the comparison between the IPPS and the CPPS with same initial energy is carried out.
Research on adsorption performance of magnetic bio-char for tetracycline in water
Authors: Hong Qiankun
Published: April 2021

In this paper, waste coconut shells are used as raw materials to prepare the corresponding bio-char (BC), and further prepare magnetically modified magnetic bio-char (MBC), and explore the adsorption of BC and MBC on the amount of adsorbent, adsorption time and pH. The recyclability of BC and MBC were contrasted. The results of the study found that compared to BC, the magnetically modified MBC has a larger specific surface area and richer functional groups, which provides more adsorption sites for the adsorption and removal of tetracycline. It can be used in different adsorbent dosages and adsorption times. Under the conditions of pH and pH, it shows better adsorption performance. In addition, MBC has better recycling properties than BC, which has higher application prospects. This research provides a theoretical basis for the utilization of waste resources and the removal of antibiotics in wastewater.
The effective removal of chloramphenicol by the reduced graphene oxide anchored nZVI/aluminum hybrid under neutral conditions
Authors: Yang Yujia , Xu Lejin
Published: April 2021

In this study, a reduced graphene oxide anchored nZVI/Al hybrid (rGO@nZVI/Al) was synthesized for effective degradation of chloramphenicol (CAP) at neutral pH just through the activation of dissolved oxygen (DO). The morphology and physicochemical features of rGO@nZVI/Al were characterized with the field emission scanning electron microscopy combined with energy dispersive spectroscopy (SEM-EDS), Brunauer-Emmet-Teller surface area analysis (BET) and X-ray diffraction (XRD). The CAP removal by rGO@nZVI/Al was conducted at neutral pH, and the performance of rGO@nZVI/Al for DO activation was also estimated in view of the effect of various systems. The reusability of rGO@nZVI/Al was investigated through the cycle tests and the variation of UV spectrum for further application.
Study on novel structure of tris-(4,4′-dimethyl-2,2′-dipyridyl) Nickel salicylic acid boric acid, Ni(C12H12N2)3●(C7H5O3)2●(H3BO3)
Authors: Ren Xiaoyan , Liu Haixing , Huo Yanfang
Published: April 2021

A novel complex Ni(C12H12N2)3●(C7H5O3)2●(H3BO3) has been synthesized from a hydrothermal reaction and the crystal structure has been determined by means of single-crystal X-ray diffraction. Triclinic, P-1. a= 12.5380(13) Å, b = 13.0100(15) Å, c = 15.1490(18) Å, α= 102.760(3)°, β= 94.480(2)°, γ= 94.540(2)°. V=2390.9(5) Å3. Z=2. R1 =0.0661, wR2 = 0.2128, T=293(2) K. The Ni atom is coordinated by six N atoms from three 4,4′-dimethyl-2,2′-dipyridyl molecular. The molecular structure stabilized by the O-H…O hydrogen-bonding interactions.