bluuebunny/crossref_metadata_2025_split huggingface dataset:
Molecular detection of Anaplasma marginale Theiler (Rickettsiales: Anaplasmataceae) in horseflies (Diptera: Tabanidae) in Uruguay
Authors: Rodrigues Gratchela Dutra , Lucas Martín , Ortiz Hadassa Gabriela , Gonçalves Laís dos Santos , Blodorn Eduardo , Domingues William Borges , Saravia Anderson , Parodi Pablo , Riet-Correa Franklin , Menchaca Alejo , Campos Vinicius Farias , Krolow Tiago Kutter , Kruger Rodrigo Ferreira 
Published: August 2022

Abstract

Anaplasma marginale is transmitted biologically by infected ticks or mechanically by biting flies and contaminated fomites. In tick-free areas, such southern Uruguay, horseflies could be the principal vectors of this pathogen to bovines, causing anaplasmosis occurrence. Therefore, the objective of this work was to detect the presence of A. marginale by MSP-5 PCR and Sanger sequencing in the most prevalent species of horseflies using different collection methods in the localities of Colonia, Taquarembó and Paysandú, Uruguay. Eight horsefly species were tested (Dasybasis missionum, Poeciloderas lindneri, Tabanus campestris, T. claripennis, T. fuscofasciatus, T. platensis, T. tacuaremboensis and T. triangulum); four species were found positive for A. marginale, with D. missionum and P. lindneri having the most frequent infections, while only one individual each of T. fuscofasciatus and T. tacuaremboensis was positive. Both D. missionum and P. lindneri were positive for A. marginale in tick-free areas, with implications that are discussed in this report.
Concept Design and Development of an Electric Go-Kart Chassis for Undergraduate Education in Vehicle Dynamics and Stress Applications
Authors: Hoster Josip , TUDIĆ VLADIMIR , Kralj Toni 
Published: August 2022

Abstract
This paper presents an approach to a go-kart chassis design, vehicle dynamics calculation, Li-ion battery capacity analysis, and electric motor choice for optimized vehicle performance. The chassis analysis shown in this paper was performed by a CAD/FEA software package, SolidWorks. Three highlights can be found in this paper: 1) an original design was implemented; the basic analysis was composed of chassis optimization using beam elements and modeling such an optimized chassis “locally” with solid elements for sub-modeling purposes. 2) The most stressed tube joint was sub-modeled to calculate the risk of tube wall stability. 3) Vehicle dynamics were calculated for the case of braking in a curved path and the case of a collision with the front tire on road imperfection. The authors intend to install a data acquisition system in the future to analyze the stress of local chassis tubes. The results of the SolidWorks analysis indicate a safety design of the chassis concept. The result for the sub-model stability (buckling) analysis show that the chosen tube wall thickness to diameter gives safety factor values ranging from 1.6 to 5.0. Based on the stress distribution, some improvement in the middle part of the chassis can be made from a half-a-millimeter thicker wall tube, or a larger diameter of the tube, by a few millimeters, to lower the stress. The latter will be described in the following paper.
Copy number variants from 4,800 exomes contribute to ~7% of genetic diagnoses in movement disorders, muscle disorders and neuropathies
Authors: Kamsteeg Erik-Jan , Pennings Maartje , Meijer Rowdy , Gerrits Monique , Janssen Jannie , Pfundt Rolph , de Leeuw Nicole , Gilissen Christian , Gardeitchik Thatjana , Schouten Meyke , Voermans Nicol , de Warenburg Bart van 
Published: August 2022

Abstract
Various groups of neurological disorders, including movement disorders and neuromuscular diseases, are clinically and genetically heterogeneous. Diagnostic panel-based exome sequencing is a routine test for these disorders. Despite the success rates of exome sequencing, it results in the detection of causative sequence variants in ‘only’ 25–30% of cases. Copy number variants (CNVs), i.e. deletion or duplications, explain 10–20% of patients with multisystemic phenotypes, such as co-existing intellectual disability, but may also have a role in disorders affecting a single system (organ), like neurological disorders with normal intelligence. In this study, CNVs were extracted from clinical exome sequencing reports of 4,800 probands primarily with a movement disorder, myopathy or neuropathy. In 88 (~ 2%) probands, phenotype-matching CNVs were detected, representing ~ 7% of genetically confirmed cases. CNVs varied from involvement of over 100 genes to single exons and explained X-linked, autosomal dominant, or - recessive disorders, the latter due to either a homozygous CNV or a compound heterozygous CNV with a sequence variant on the other allele. CNVs were detected affecting genes where deletions or duplications are established as a common mechanism, like PRKN (in Parkinson’s disease), DMD (in Duchenne muscular dystrophy) and PMP22 (in neuropathies), but also genes in which no intragenic CNVs have been reported to date. Analysis of CNVs as part of panel-based exome sequencing for genetically heterogeneous neurological diseases provides an additional diagnostic yield of ~ 2% without extra laboratory costs. Therefore it is recommended to perform CNV analysis for movement disorders, muscle disease, neuropathies, or any other single-system disorder.
COVID-19 and Osteoporosis: Shared Mechanisms and Crosstalk via Vitamin D
Authors: Liu Fei , Song Chao , Cai Weiye , Chen Jingwen , Cheng kang , Guo Daru , Duan Dayue Darrel , Liu Zongchao 
Published: August 2022

Abstract
Recently accumulated evidence implicates a close association of vitamin D (VitD) insufficiency to the incidence and clinical manifestations of the COVID-19 caused by severe acute respiratory syndrome coronavirus-2 (SARS-COV-2). Populations with insufficient VitD including patients with osteoporosis are more susceptible to SARS-COV-2 infection and patients with COVID-19 worsened or developed osteoporosis. It is currently unknown, however, whether osteoporosis and COVID-19 are linked by VitD insufficiency. In this study, 42 common targets for VitD on both COVID-19 and osteoporosis were identified among a total of 243 VitD targets. Further bioinformatic analysis revealed 8 core targets (EGFR, AR, ESR1, MAPK8, MDM2, EZH2, ERBB2 and MAPT) in the VitD-COVID-19-osteoporosis network. These targets are involved in the ErbB and MAPK signaling pathways critical for lung fibrosis, bone structural integrity, and cytokines through a crosstalk between COVID-19 and osteoporosis via the VitD-mediated conventional immune and osteoimmune mechanisms. Molecular docking confirmed that VitD binds tightly to the predicted targets. These findings support that VitD may target common signaling pathways in the integrated network of lung fibrosis and bone structural integrity as well as the immune systems. Therefore, VitD may serve as a preventive and therapeutic agent for both COVID-19 and osteoporosis.
GoMIC: Multi-view Image Clustering via Self-supervised Contrastive Heterogeneous Graph Co-learning
Authors: Fang Uno , Li Jianxin , Akhtar Naveed , Li Man , Jia Yan 
Published: August 2022

Abstract
Graph learning is being increasingly applied to image clustering to reveal intra-class and inter-class relationships in data. However, existing graph learning-based image clustering focuses on grouping images under a single view, which under-utilises the information provided by the data. To address that, we propose a self-supervised multi-view image clustering technique under contrastive heterogeneous graph learning. Our method computes a heterogeneous affinity graph for multi-view image data. It conducts Local Feature Propagation (LFP) for reasoning over the local neighbourhood of each node and executes an Influence-aware Feature Propagation (IFP) from each node to its influential node for learning the clustering intention. The proposed framework pioneeringly employs two contrastive objectives. The first targets to contrast and fuse multiple views for the overall LFP embedding, and the second maximises the mutual information between LFP and IFP representations. We conduct extensive experiments on the benchmark datasets for the problem, i.e.~COIL-20, Caltech7 and CASIA-WebFace. Our evaluation shows that our method outperforms the state-of-the-art methods, including the popular techniques MVGL, MCGC and HeCo.
EHTT2022-Material removal characteristics of single crystal 4H-SiC based on varied-load nanoscratch tests
Authors: Tang Kun , Ou Wang-Ping , Mao Cong , Jie Liang , Zhang Mo-Ke , Zhang Ming-Jun , Hu Yong-Le 
Published: August 2022

Abstract
The single crystal silicon carbides (SiC) have been widely applied in the extreme circumstances and conditions for their excellent physical and chemical properties. In order to obtain various components with high surface integrity and low surface damage, precision and ultra-precision machining methods were used to process single crystal SiC. However, as typical hard-to-machine materials, their good mechanical properties also resulted in the surface defects and subsurface damage. For improving the machining quality and prolonging the service life of components, the varied-load nanoscratch tests were systematically performed on single crystal 4H-SiC by a nanoindenter system with Berkovich indenter in this paper. The characteristics of material removal under different plane, indenter direction, normal loading rate and scratch interval were discussed. The surface morphology of nanoscratch grooves, the distribution of cracks, material deformations and fractures, and cross-section characteristics were analyzed by SEM and 3D profilometer. The mechanism of material removal and crack propagation of single crystal 4H-SiC were also studied. The results indicated that the Si-plane of single crystal 4H-SiC and indenter direction of edge forward were more suitable for material removal and machining. The normal loading rate had little effect on scratch depth, but the lower one would increase the ductile region and critical depth of transition. The increasing of scratch interval would postpone the greater fluctuation of depth-distance curves of second scratch, and curve changes showed high coincidence gradually. In addition, the propagation and interaction of radial, median and transverse cracks resulted in the material fractures and accumulation of chips. The proposed research provides the instruction to high efficiency and precision machining of single crystal SiC for the purpose of emission and carbon reduction.
Association between the mask-associated dry eye (MADE) and corneal sensations
Authors: Itokawa Takashi , Okajima Yukinobu , Iwashita Hiroko , Kakisu Koji , Suzuki Takashi , Hori Yuichi 
Published: August 2022

Abstract
Purpose: To determine the risk of mask-associated dry eye (MADE), we investigated the fluorescein tear break-up time (FBUT), ocular surface temperature and blood flow, along with corneal sensitivity in mask wearers.Methods: We enrolled 60 mask wearers (mean age, 27.1±5.2 years) and then measured FBUT, corneal temperature and conjunctival blood flow without wearing masks (no mask), with masks, and taped masks. We defined MADE as the condition in which dry eye symptoms appeared and the FBUT with mask was less than 5 sec. Results: FBUT with mask was significantly shorter compared to the no mask and taped mask groups (P<0.01 and P<0.05). Corneal temperature difference and Conjunctival blood flow difference became significantly higher after wearing a mask compared to after wearing a taped mask (P<0.01). Of the 60 subjects, 13 were diagnosed as MADE. Pain sensitivity and the Ocular Surface Disease Index (P<0.05 and P<0.01) were significantly higher in the MADE group, with the FBUT without masks (P<0.05) significantly shorter versus the non-MADE group.Conclusions: MADE may be associated with corneal hypersensitivity. Wearing masks decreased FBUT and increased ocular surface temperature and blood flow. Taping the top edge of masks prevented these changes. Fitting masks properly may reduce MADE risk.
Comparison of repeat penetrating keratoplasty, DSAEK and DMEK for the management of endothelial failure of previous PK.
Authors: Roberts Harry , de Benito-Llopis Laura 
Published: August 2022

Abstract
Purpose: To compare the clinical outcomes of repeat penetrating keratoplasty (PK), Descemet stripping automated endothelial keratoplasty (‘DSAEK-on-PK’) or Descemet membrane endothelial keratoplasty (‘DMEK-on-PK’) for the management of endothelial failure of previous penetrating keratoplastyDesign: Retrospective, interventional consecutive case series. Participants: 104 consecutive eyes of 100 patients requiring a second keratoplasty for endothelial failure of their primary penetrating keratoplasty performed between September 2016 and December 2020Intervention: Repeat keratoplastyMain Outcome Measures: Primary failure rate, 12 and 24 month survival, visual acuity at 12 and 24 months, rebubbling rate and complication profile.Results: Repeat PK was performed in 61/104 eyes (58.7%), DSAEK-on-PK was performed in 21/104 eyes (20.2%) and DMEK-on-PK was performed in 22/104 eyes (21.2%). 6.6% of repeat PKs failed in the first 12 months compared to 19% of DSAEK and 36.4% of DMEK. Chances of 2 year survival were 79.4% for repeat PK, 69.4% for DSAEK and 58.7% for DMEK. Visual acuity at one year was logMAR 0.53±0.51 in the redo PK group, 0.25±0.17 for DSAEK and 0.30±0.38 for DMEK. 24 month outcomes were 0.34± 0.28, 0.08 ± 0.16, and 0.36 ± 0.36 respectively.Conclusions: DMEK-on-PK and DSAEK-on-PK are known to have greater primary failure rates than redo PK but have faster rehabilitation times. DMEK-on-PK may offer the best clinical outcome when successful but also has the greatest primary failure rate.
Association between excessive fetal growth and maternal cancer in Shanghai, China: a large, population-based cohort study
Authors: Qian Naisi , Yu Huiting , Chen Lei , Jin Shan , Qiao Jiaying , Cai Renzhi , Yang Qing , Wu Chunxiao , Gu Kai , Wang Chunfang 
Published: August 2022

Abstract
BACKGROUND: The prevalence of high birth weight or large for gestational age (LGA) infants is increasing, with increasing evidence of pregnancy-related factors that may have long-term impacts on the health of the mother and baby. Here, we aimed to determine the association between excessive fetal growth and subsequent maternal cancer. METHODS: We performed a population-based, prospective, cohort study to explore the association between excessive fetal growth, specifically LGA and macrosomia, and maternal cancer after childbirth. The data set was based on two registry systems: the Shanghai Birth Registry (SBR) and the Shanghai Cancer Registry (SCR), with medical records from the Shanghai Health Information Network (SHIN) as a supplement. Cox proportional hazard models were used to estimate associations. RESULTS: The prevalence of macrosomia and LGA in women who developed cancer was higher than that in women who did not develop cancer. Having a LGA child in the first delivery was associated with a subsequently increased risk of maternal cancer (HR=1.08, CI: 1.04–1.11). Additionally, in the last and heaviest deliveries, there were similar associations between the birth of LGA and maternal cancer rates (HR=1.08, 95%CI: 1.04–1.12; HR=1.08, 95%CI: 1.05–1.12, respectively). Furthermore, a substantially increased trend in the risk of maternal cancer was associated with an increase in birth weight of over 2500 g. CONCLUSIONS: Our study provided strong support for the association between LGA births and increased risks of maternal cancer. The risk for maternal cancer after birth of excessive fetal growth may need further consideration.
Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients
Authors: Gustafsson Stefan , Gedon Daniel , Lampa Erik , Ribeiro Antônio H. , Holzmann Martin J. , Schön Thomas B. , Sundström Johan 
Published: August 2022

Abstract
Myocardial infarction diagnosis is a common challenge in the emergency department. In managed settings, deep learning-based models and especially convolutional deep models have shown promise in electrocardiogram (ECG) classification, but there is a lack of high-performing models for the diagnosis of myocardial infarction in real-world scenarios. We aimed to train and validate a deep learning model using ECGs to predict myocardial infarction in real-world emergency department patients. We studied emergency department patients in the Stockholm region between 2007 and 2016 that had an ECG obtained because of their presenting complaint. We developed a deep neural network based on convolutional layers similar to a residual network. Inputs to the model were ECG tracing, age, and sex; and outputs were the probabilities of three mutually exclusive classes: non-ST-elevation myocardial infarction (NSTEMI), ST-elevation myocardial infarction (STEMI), and control status, as registered in the SWEDEHEART and other registries. We used an ensemble of five models. Among 492,226 ECGs in 214,250 patients, 5,416 were recorded with an NSTEMI, 1,818 a STEMI, and 485,207 without a myocardial infarction. In a random test set, our model could discriminate STEMIs/NSTEMIs from controls with a C-statistic of 0.991/0.832 and had a Brier score of 0.001/0.008. The model obtained a similar performance in a temporally separated test set, and achieved a C-statistic of 0.985 and a Brier score of 0.002 in discriminating STEMIs from controls in an external test set. We developed and validated a deep learning model with excellent performance in discriminating between control, STEMI, and NSTEMI on the presenting ECG of a real-world sample of the important population of all-comers to the emergency department. Hence, deep learning models for ECG decision support could be valuable in the emergency department.
Improved strain engineering of 2D materials by adamantane plasma polymer encapsulation
Authors: Castellanos-Gomez Andres , Carrascoso Felix , Obrero-Perez Jose , Aparicio Francisco , Hao Li , Borras Ana , Island Joshua , Barranco Angel 
Published: August 2022

Abstract
Two-dimensional materials present exceptional crystal elasticity and provide an ideal platform to tune electrical and optical properties through the application of strain. Here we extend recent research on strain engineering in monolayer molybdenum disulfide using an adamantane plasma polymer pinning layer to achieve unprecedented crystal strains of 2.8%. Using micro-reflectance spectroscopy, we report maximum strain gauge factors of -99.5 meV/% and − 63.5 meV/% for the A and B exciton of monolayer MoS2, respectively, with a 50 nm adamantane capping layer. These results are corroborated with photoluminescence and Raman measurements on the same samples. Taken together, our results indicate that adamantane polymer is an exceptional capping layer to transfer substrate-induced strain to a 2D layer and achieve new heightened levels of crystal strain.
Puncturing Scheme for Polar Codes Based on Channel Reliability Estimation
Authors: Han Tianwei , Fu Meiyu , Zhang Meiling , Hu Guijun 
Published: August 2022

Abstract
The compiled code algorithms for polar codes, which were proposed by Arikan, are of low complexity, with excellent performance for a given code length. Consequently, it has attracted widespread attention and gained popularity since its inception. The construction of punctured polar codes allows for more flexibility in coding, making them suitable for a greater variety of scenarios. This paper proposes an improved puncturing scheme for polar codes. With the constraints imposed by conventional punctured polar codes, the error probability of each polarized sub-channel is then calculated on the basis of the channel reliability estimation methodology, so as to puncture the less reliable polarized sub-channels. Furthermore, to achieve better decoding performance, this scheme sets the initial log-likelihood rate (LLR) of the punctured bits to infinity (or negative infinity). The simulation outcomes indicate that the improved punctured polar codes as proposed in this paper perform better than the conventional punctured polar codes.
Comparative luminescence and archaeomagnetic dating of ancient kilns and gothic to baroque bricks from SE Poland
Authors: Nawrocki Jerzy , Standzikowski Karol , Łanczont Maria , Gancarski Jan , Kłosowicz Mateusz , Leszczyński Tomasz 
Published: August 2022

Abstract
The TL, OSL and archaeomagnetic ages obtained from two ancient kilns and from gothic to baroque bricks in the SE of Poland, were compared to their presumed historical ages and discussed. The archaeomagnetic and OSL data indicates that the ancient kilns were last used ca. 200 AD. This age corresponds well to the lower limit of the postulated age of fragments of Roman type storage vessels found in the filling of kilns. The TL ages obtained from these kilns (4938 ± 238 BC, 6650 ± 396 BC) are significantly older and may be related to the time of deposition of silt in which the kilns’ chambers were dug. The sampled bottom parts of kilns were heated to a relatively low temperature, insufficient to reset the TL signal. Most of archaeomagnetic data isolated from the bricks and linked with their historical ages corresponds well with the reference archaeomagnetic curves for Central Europe. On the other hand, however, most TL ages obtained from the same bricks do not correlate with their historical ages. Unknown and most probably varied brick moisture contents in sampled ground floor walls and cellars does not allow to precisely date these bricks using the TL method.
Flame retardant sisal rope: Combustion properties and characterization
Authors: Basak S. , Bhowmick M. , Sengupta S. 
Published: August 2022

Abstract
A new mechano-chemical formulation has been developed for making flame resistant sisal fibre rope with lower amount of chemical loading. Sisal yarn was treated with different formulation of ammonium sulfamate (AS) (50 and 100g/L) and the detail fire retardant property has been measured. Treatment has been carried out by dipping process at room temperature by maintaining the material to liquor ratio of 1:20. Treated sisal yarn has provided LOI value 28–32 and self-extinguishment after vertical flammability test. Forced combustion results revealed that AS treated sisal yarn has exhibited 50% less heat release rate as compared to the control sisal yarn. Sisal yarn based rope was prepared by following braiding technique, using different combinations (made by 3 yarns) of untreated and treated sisal yarn. Fire retardant sheath yarn has been used to cover the untreated sisal yarn in the core by twisting or braiding. Detail flame retardant properties of the developed ropes were measured and it exhibited LOI value range in between 30–40. Besides, a new method of simultaneous dyeing and flame retardant finishing of sisal rope also has been proposed. Physical properties of the ropes also have been measured and it was found that the extent of strength loss is negligible. Thermal stability of the AS treated sisal yarn has been measured by thermo-gravimetry analysis. Charring behaviour, another important phenomenon of the final product was examined in detail by using microscopic images and by using Scanning electron microscopy (SEM). Finally, detail mechanism lies behind the flame retardancy also has been revealed in the context with the help of XRD, FTIR analysis techniques.