bluuebunny/crossref_metadata_2025_split huggingface dataset:
Three-year outcomes of peripheral blood mononuclear cells vs purified CD34+ cells in the treatment of angiitis-induced no-option critical limb ischemia and a cost-effectiveness assessment: A randomized single-blinded noninferiority trial
Authors: Liu Hao , Pan Tianyue , Fang Yuan , Fang Gang , Liu Yifan , Jiang Xiaolang , Chen Bin , Wei Zheng , Gu Shiyang , Liu Peng , Fu Weiguo , Dong Zhihui 
Published: January 2021

Abstract
For patients with angiitis-induced critical limb ischemia (AICLI), cell transplantation, such as purified CD34+ cells (PCCs) and peripheral blood mononuclear cells (PBMNCs), is gradually being used as a promising treatment. This was the first randomized single-blinded noninferiority trial (number: NCT 02089828) specifically designed to evaluate the therapeutic efficacies of the transplantation of PCCs vs those of PBMNCs for the treatment of AICLI. We aimed to compare the mid-term safety and efficacy between the two groups and determine their respective advantages. From April 2014 to September 2019, 50 patients with AICLI were equally allocated to the two groups, except for 1 lost patient, 1 amputee, and 1 patient who died of heart disease. The other 47 patients completed the 36-month follow-up. The endpoints were as follows: major amputation-free survival and total amputation-free survival at 6 months, which were 96.0% and 84.0% in the PBMNCs group and 96.0% and 72.0% in the PCCs group, respectively. These rates remained stable at 12, 24, and 36 months. The PCCs group had a significant higher probability of rest pain relief than the PBMNCs group, whereas earlier significant improvements in the Rutherford classification were observed in the PBMNCs group. Accordingly, PCCs would be preferred for patients with significant pain, whereas PBMNCs may be a good option for patients with two or more critically ischemic limbs. Concerning cost-effectiveness, PCCs are not more cost-effective than PBMNCs. These outcomes require verification from long-term trials involving larger numbers of patients.
Potentially zoonotic gastrointestinal nematodes co‐infecting free ranging non‐human primates in Kenyan urban centres
Authors: Mbuthia Peris , Murungi Edwin , Owino Vincent , Akinyi Mercy , Eastwood Gillian , Nyamota Richard , Lekolool Isaac , Jeneby Maamun 
Published: January 2021

AbstractBackgroundNatural infections with soil‐transmitted nematodes occur in non‐human primates (NHPs) and have the potential to cross primate‐species boundaries and cause diseases of significant public health concern. Despite the presence of NHPs in most urban centres in Kenya, comprehensive studies on their gastrointestinal parasites are scant.ObjectiveConduct a cross‐sectional survey to identify zoonotic nematodes in free‐ranging NHPs found within four selected urban and peri‐urban centres in Kenya.MethodsA total of 86 NHPs: 41 African green monkeys [AGMs] (Chlorocebus aethiops), 30 olive baboons (Papio anubis), 5 blue monkeys (Cercopithecus mitis stuhlmanni) and 10 red‐tailed monkeys (Cercopithecus ascanius) were sampled once in situ and released back to their habitat. Microscopy was used to identify nematodes egg and larvae stages in the samples. Subsequently, PCR coupled with high‐resolution melting (PCR‐HRM) analysis and sequencing were used to identify nodule worms.ResultsNHPs inhabiting densely populated urban environs in Kenya were found infected with a rich diversity of nematodes including three potentially zoonotic nematodes including Oesophagostomum stephanostomum, Oesophagostomum bifurcum and Trichostrongylus colubriformis and co‐infections were common.ConclusionPhylogenetic analysis showed that O. stephanostomum from red‐tailed and blue monkeys have a close evolutionary relatedness to human isolates suggesting the zoonotic potential of this parasite. Moreover, we also report the first natural co‐infection of O. bifurcum and O. stephanostomum in free‐ranging AGMs.
Machine learnt prediction method for rain erosion damage on wind turbine blades
Authors: Castorrini Alessio , Venturini Paolo , Corsini Alessandro , Rispoli Franco 
Published: January 2021

AbstractThis paper proposes a paradigm shift in the numerical simulation approach to predict rain erosion damage on wind turbine blades, given the blade geometry, its coating material, and the atmospheric conditions (wind and rain) expected at the installation site. Contrary to what has been done so far, numerical simulations (flow field and particle tracking) are used not to study a specific (wind and rain) operating condition but to build a large database of possible operating conditions of the blade section. A machine learning algorithm, trained on this database, defines a prediction module that gives the feature of the impact pattern over the 2‐D section, given the wind and rain flow. The advantage of this approach is that the prediction becomes much faster than using the standard simulations; thus, the study of a large set of variable operating conditions becomes possible. The module, coupled with an erosion model, is used to compute the erosion damage of the blade working on specific installation site. In this way, the variations of the flow conditions due to dynamic effects such as variable wind, wind turbulence, and turbine control can be also considered in the erosion computation. Here, we describe the method, the database creation, and the development of the prediction tool. Then, the method is applied to predict the erosion damage on a blade section of a reference wind turbine, after one year of operation in a rainy onshore site. Results are in good agreement with on field observations, showing the potential of the approach.
A comprehensive review on updating concept lattices and its application in updating association rules
Authors: Shemis Ebtesam , Mohammed Ammar 
Published: January 2021

AbstractFormal concept analysis (FCA) visualizes formal concepts in terms of a concept lattice. Usually, it is an NP‐problem and consumes plenty of time and storage space to update the changes of the lattice. Thus, introducing an efficient way to update and maintain such lattices is a significant area of interest within the field of FCA and its applications. One of those vital FCA applications is the association rule mining (ARM), which aims at generating a loss‐less nonredundant compact Association Rule‐basis (AR‐basis). Currently, the real‐world data rapidly overgrow that asks the need for updating the existing concept lattice and AR‐basis upon data change continually. Intuitively, updating and maintaining an existing concept‐lattice or AR‐basis is much more efficient and consistent than reconstructing them from scratch, particularly in the case of massive data. So far, the area of updating both concept lattice and AR‐basis has not received much attention. Besides, few noncomprehensive studies have focused only on updating the concept lattice. From this point, this article comprehensively introduces basic knowledge regarding updating both concept lattices and AR‐basis with new illustrations, formalization, and examples. Also, the article reviews and compares recent remarkable works and explores the emerging future research trends.This article is categorized under:
Algorithmic Development > Association Rules
Fundamental Concepts of Data and Knowledge > Knowledge Representation
Technologies > Association Rules
E6(6) exceptional Drinfel’d algebras
Authors: Malek Emanuel , Sakatani Yuho , Thompson Daniel C. 
Published: January 2021

Abstract
The exceptional Drinfel’d algebra (EDA) is a Leibniz algebra introduced to provide an algebraic underpinning with which to explore generalised notions of U-duality in M-theory. In essence, it provides an M-theoretic analogue of the way a Drinfel’d double encodes generalised T-dualities of strings. In this note we detail the construction of the EDA in the case where the regular U-duality group is E6(6). We show how the EDA can be realised geometrically as a generalised Leibniz parallelisation of the exceptional generalised tangent bundle for a six-dimensional group manifold G, endowed with a Nambu-Lie structure. When the EDA is of coboundary type, we show how a natural generalisation of the classical Yang-Baxter equation arises. The construction is illustrated with a selection of examples including some which embed Drinfel’d doubles and others that are not of this type.
Coadministration of tizanidine and ciprofloxacin: a retrospective analysis of the WHO pharmacovigilance database
Authors: Rudolph Annette , Dahmke Hendrike , Kupferschmidt Hugo , Burden Andrea , Weiler Stefan 
Published: January 2021

Abstract
Purpose
Tizanidine, an alpha-adrenergic substance with antinociceptive and antihypertensive effects, is extensively metabolized via cytochrome P450 (CYP) 1A2. Therefore, coadministration with potent CYP1A2 inhibitors, such as ciprofloxacin, is contraindicated. However, both drugs are broadly utilized in various countries. Their concomitant use bears an inherent high risk for clinically significant symptoms, especially in multimorbid patients experiencing polypharmacy. This study aims to investigate the impact of coadministration of tizanidine and ciprofloxacin using real-world pharmacovigilance data and to raise awareness of this potentially underestimated safety issue.

Methods
We conducted a retrospective study including Individual Case Safety Reports (ICSR) registered until March 1, 2017, in the World Health Organization (WHO) global database. Demographic data, drug administration information, the course of the adverse drug reaction (ADR), its severity, and outcomes were analyzed for cases reporting ciprofloxacin comedication.

Results
In 91 (2.0%) of the identified 4192 worldwide ICSR on tizanidine, coadministration of ciprofloxacin was reported. Most of the patients were female (n = 59, 64.8%) with a median age of 54 years (range 13–85 years). The countries contributing most reports were the USA (n = 54, 59.3%) and Switzerland (n = 16, 17.6%). ADRs reported most often affected the nervous system and the cardiac function, especially with large tizanidine doses or drugs with CNS and cardiovascular depressant effects. In two cases, a fatal outcome was reported.

Conclusion
Despite the existing formal contraindication, the concomitant use of tizanidine and ciprofloxacin can be observed in real-world clinical practice. Reactions mainly affected the central nervous and the cardiovascular system resulting in potentially severe adverse effects. The concomitant use of tizanidine and ciprofloxacin should absolutely be avoided.
Posterior staphyloma is associated with the microvasculature and microstructure of myopic eyes
Authors: Nie Fen , Ouyang Junyi , Tang Wenquan , Luo Lijia , Cao Mengdan , Zhang Lurong , Zhou Dengming , Liu Ke , Ma Daijin , Duan Xuanchu 
Published: January 2021

Abstract
Objective
To investigate the microvasculature and structural characteristics of the eyes of myopic patients and their association with posterior staphyloma (PS).

Methods
This was a retrospective, case-control study comprising of 106 eyes from 72 individuals. Using 1:1 matching of axial length (AL) of their eyes, patients were allocated into a PS group or no posterior staphyloma (NPS) group. All patients were examined using ultra-widefield fundus imaging, optical coherence tomography angiography, and ocular biometry to acquire microvasculature and microstructure parameters.

Results
The anterior chamber depth (ACD) of the PS group was significantly different from that of the NPS group (3.56 mm vs 3.76 mm, P < 0.001), as was 1ens thickness (3.72 mm vs 3.57 mm, P = 0.005) and spherical equivalent (SE)(-10.11D vs -8.80D, P = 0.014). The PS group had reduced choriocapillaris flow, subfoveal choroidal thickness (SFCT), and a thinner retinal layer compared with the NPS group. No difference in retinal blood flow between the two groups was observed. The PS group exhibited a smaller disc area (15082.89 vs 17,043.32, P = 0.003) and angle α between temporal retinal arterial vascular arcades (113.29°vs 128.39°, P = 0.003), a larger disc tilt ratio (1.41 vs 1.24, P < 0.001) and parapapillary atrophy (PPA) area (13840.98 vs 8753.86, P = 0.020), compared with the NPS group. Multivariate regression analysis indicated that disc tilt ratio (P = 0.031) and SFCT (P = 0.015) were significant predictors of PS. In addition, PS (P = 0.049), AL (P = 0.003), corneal refractive power (P < 0.001), ACD (P = 0.022), relative lens position (P = 0.045), and disc area (P = 0.011) were significant predictors of SE.

Conclusions
PS was found to be closely linked to a reduction in choriocapillaris perfusion and anatomical abnormalities including posterior and anterior segments. Furthermore, PS exacerbated the progression of myopia.
Testicular STAC3 regulates Leydig cell steroidogenesis through potentiating mitochondrial membrane potential and StAR processing
Authors: Bi Xingyu , Liu Junfen , Xu Suming , Wang Yaoqin , Wu Xueqing 
Published: January 2021

AbstractSH3 and cysteine-rich protein 3 (STAC3), a small adapter protein originally identified as a core component of excitation–contraction coupling machinery, regulates the voltage-induced Ca2+ release in skeletal muscle. However, the possibility of additional, as yet unknown, non-muscle effects of STAC3 cannot be ruled out. Herein, we provide the evidence for the expression and functional involvement of STAC3 in spermatogenesis. STAC3 expression was localized in the testicular interstitium of rodent and human testes. By using the cytotoxic drug ethylene dimethane sulfonate (EDS), STAC3 expression was observed to be decreased sharply in rat testis after selective withdrawal of Leydig cells (LCs), and reappeared immediately after LCs repopulation, indicating that testicular expression of STAC3 mainly stems from LCs. From a functional standpoint, in vivo lentiviral vector–mediated suppression of STAC3 resulted in a significant decrease in testosterone production, and thereafter caused impairment of male fertility by inducing oligozoospermia and asthenospermia. The indispensible involvement of STAC3 in testicular steroidogenesis was validated using the in vivo knockdown model with isolated primary LCs as well as in vitro experiments with primary LCs. By generating the TM3Stac3−/− cells, we further revealed that STAC3 depletion attenuated mitochondrial membrane potential and StAR processing in db-cAMP-stimulated LCs. Thus, the inhibitory effect of STAC3 deficiency on testicular steroidogenesis may be ascribed to a disturbed mitochondrial homeostasis. Collectively, the present results strongly suggest that STAC3 may function as a novel regulator linking mitochondrial homeostasis and testicular steroidogenesis in LCs. Our data underscore an unexpected reproductive facet of this muscle-derived factor.
Odor coding in the mammalian olfactory epithelium
Authors: Kurian Smija M. , Naressi Rafaella G. , Manoel Diogo , Barwich Ann-Sophie , Malnic Bettina , Saraiva Luis R. 
Published: January 2021

AbstractNoses are extremely sophisticated chemical detectors allowing animals to use scents to interpret and navigate their environments. Odor detection starts with the activation of odorant receptors (ORs), expressed in mature olfactory sensory neurons (OSNs) populating the olfactory mucosa. Different odorants, or different concentrations of the same odorant, activate unique ensembles of ORs. This mechanism of combinatorial receptor coding provided a possible explanation as to why different odorants are perceived as having distinct odors. Aided by new technologies, several recent studies have found that antagonist interactions also play an important role in the formation of the combinatorial receptor code. These findings mark the start of a new era in the study of odorant-receptor interactions and add a new level of complexity to odor coding in mammals.
Adaptive temporal processing of odor stimuli
Authors: Brandão Sofia C. , Silies Marion , Martelli Carlotta 
Published: January 2021

AbstractThe olfactory system translates chemical signals into neuronal signals that inform behavioral decisions of the animal. Odors are cues for source identity, but if monitored long enough, they can also be used to localize the source. Odor representations should therefore be robust to changing conditions and flexible in order to drive an appropriate behavior. In this review, we aim at discussing the main computations that allow robust and flexible encoding of odor information in the olfactory neural pathway.
Iatrogenic Kaposi’s sarcoma in myasthenia gravis: learnings from two case reports
Authors: Frangiamore Rita , Giossi Riccardo , Vanoli Fiammetta , Tourlaki Athanasia , Brambilla Lucia , Maggi Lorenzo , Mantegazza Renato 
Published: January 2021

Abstract
Introduction
Myasthenia gravis (MG) is an autoimmune neuromuscular disease whose treatment encompasses acetylcholinesterase inhibitors, oral steroids, and other immunosuppressants. Kaposi’s sarcoma (KS) is a lymphangioproliferative disease associated with human herpesvirus 8 (HHV-8) infection and immunodeficiency or immunosuppression, mainly corticosteroids.

Case reports
We present two cases of MG patients treated with oral steroids who developed KS. Patient 1 was diagnosed with three oral KS lesions. Prednisone was discontinued with lesion regression and stabilization, while azathioprine and pyridostigmine prompted control of MG. Patient 2 developed KS lesions on the trunk and lower limbs while taking prednisone and azathioprine. Steroid tapering was started but new oral and lymph nodal lesions appeared. Paclitaxel therapy was introduced and the patient experienced pulmonary embolism and developed sensitive neuropathy. Complete remission of KS lesions was achieved and maintained with azathioprine and pyridostigmine as MG medications.

Conclusions
KS is an uncommon but clinically relevant adverse event (AE) often induced by steroid therapy. It can be controlled by steroid withdrawal but could necessitate chemotherapy, which associates with further potential AEs. Skin evaluation should be performed in all patients with chronic steroid therapy. Steroid-sparing strategies, including new drugs, could reduce KS and other steroid-related comorbidities. HHV-8 testing should be considered before starting chronic immunosuppression.
The optimal rainfall thresholds and probabilistic rainfall conditions for a landslide early warning system for Chuncheon, Republic of Korea
Authors: Lee Won Young , Park Seon Ki , Sung Hyo Hyun 
Published: January 2021

AbstractThe purpose of this study is to establish the criteria for a landslide early warning system (LEWS). We accomplished this by deriving optimal thresholds for the cumulative event rainfall–duration (ED) and identifying the characteristics of the rainfall variables associated with a high probability of landslide occurrence via a Bayesian model. We have established these system criteria using rainfall and landslide data for Chuncheon, Republic of Korea. Heavy rainfall is the leading cause of landslides in Chuncheon; thus, it is crucial to determine the rainfall conditions that trigger landslides. Hourly rainfall data spanning 1999 to 2017 from seven gauging stations were utilized to establish the ED thresholds and the Bayesian model. We used three different calibration periods of rainfall events split by 12, 24, 48, and 96 non-rainfall hours to calibrate the ED thresholds. Finally, the optimal threshold was determined by comparing the results of the contingency table and the skill scores that maximize the probability of detection (POD) score and minimize the probability of false detection (POFD) score. In the LEWS, by considering the first level as “normal,” we developed subsequent step-by-step warning levels based on the Bayesian model as well as the ED thresholds. We propose the second level, “watch,” when the rainfall condition is above the ED thresholds. We then adopt the third level, “warning,” and the fourth level, “severe warning,” based on the probability of landslide occurrence determined via a Bayesian model that considers several factors including the rainfall conditions of landslide vs. non-landslide and various rainfall variables such as hourly maximum rainfall and 3-day antecedent rainfall conditions. The proposed alert level predicted a total of 98.2% of the landslide occurrences at the levels of “severe warning” and “warning” as a result of the model fitness verification. The false alarm rate is 0% for the severe warning level and 47.4% for the warning level. We propose using the optimal ED thresholds to forecast when landslides are likely to occur in the local region. Additionally, we propose the ranges of rainfall variables that represent a high landslide probability based on the Bayesian model to set the landslide warning standard that fits the local area’s characteristics.
Rumination as a Mediator of the Prospective Association Between Victimization and Bullying
Authors: Malamut Sarah T. , Salmivalli Christina 
Published: January 2021

AbstractAlthough there is evidence of concurrent associations between victimization and bully perpetration, it is still unclear how this relation unfolds over time. This study investigates whether victimization in childhood is a prospective risk factor for bully perpetration in early adolescence, and examines rumination as a socio-cognitive factor that may mediate this association. Participants included 553 third graders (43.2% boys; Mage = 9.85), with follow-up assessments when they were in fourth, seventh, and eighth grade. Results indicated that more frequent victimization in grades 3 and 4 was indirectly associated with bully perpetration in grade 8, through rumination in grade 7 about past victimization experiences in elementary school. This pattern remained regardless of whether the rumination elicited feelings of anger or sadness. Our findings demonstrate one pathway through which frequent victimization can lead to perpetration and underscore the important role of rumination in victims’ subsequent adjustment. Implications for future interventions are discussed.
Stigma, Discrimination, and Hate Crimes in Chinese-Speaking World amid Covid-19 Pandemic
Authors: Xu Jianhua , Sun Guyu , Cao Wei , Fan Wenyuan , Pan Zhihao , Yao Zhaoyu , Li Han 
Published: January 2021

AbstractThe Covid-19 pandemic has given rise to stigma, discrimination, and even hate crimes against various populations in the Chinese language–speaking world. Using interview data with victims, online observation, and the data mining of media reports, this paper investigated the changing targets of stigma from the outbreak of Covid-19 to early April 2020 when China had largely contained the first wave of Covid-19 within its border. We found that at the early stage of the pandemic, stigma was inflicted by some non-Hubei Chinese population onto Wuhan and Hubei residents, by some Hong Kong and Taiwan residents onto mainland Chinese, and by some Westerners towards overseas Chinese. With the number of cases outside China surpassing that in China, stigmatization was imposed by some Chinese onto Africans in China. We further explore how various factors, such as the fear of infection, food and mask culture, political ideology, and racism, affected the stigmatization of different victim groups. This study not only improved our understanding of how stigmatization happened in the Chinese-speaking world amid Covid-19 but also contributes to the literature of how sociopolitical factors may affect the production of hate crimes.