bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pulmonary embolism and acute psychosis, a case report of an outpatient with a mild course of COVID-19
Authors: Makivic Nina , Stöllberger Claudia , Schauer Dominic , Bernhofer Laura , Pawelka Erich , Erfurth Andreas , Weidinger Franz 
Published: March 2021

Abstract
Introduction The increased risk for thromboembolism in hospitalized COVID-19 patients has been communicated extensively. The fact that home quarantined patients can develop pulmonary embolism, however, has so far not been reported. Furthermore, attention should be brought to psychotic developments in COVID-19 patients.Case Presentation We report a 46-year-old previously healthy patient with a mild course of COVID-19, who developed a massive pulmonary embolism with right heart strain while being home quarantined. He was hospitalized and anticoagulant therapy was started. Nine days after admission, the patient appeared increasingly psychotic and suffered from hallucinations as well as paranoid thoughts. After treatment with risperidone and valproate the patient’s condition improved. At a follow-up one month after discharge, he was completely recovered regarding the respiratory, cardiac and psychic situation.Conclusion SARS-CoV-2 infection cannot only increase the prevalence of thromboembolism in hospitalized patients, but also in outpatients. COVID-19 also increases the risk of developing psychiatric reactions.
Spatially restricted occurrence and low population abundance estimates as key tools for the conservation of the critically endangered large social antelope in West African savannah
Authors: Gueye Mallé , Brandlová Karolína , Rabeil Thomas , Diop Maniang Mamadou , Diop Babacar , Hejcmanová Pavla 
Published: March 2021

Abstract
The effective conservation of mammals on the brink of extinction requires an integrated socio-ecological approach, yet the updated ecological knowledge of species remains fundamental. This study brings spatiotemporal behaviour, population structure, age-specific survival rates, and population size estimate of the Western Derby eland (WDE) in the Niokolo Koba National Park (NKNP), Senegal, investigated during dry seasons 2017 and 2018. WDE was strongly localised in the core area of NKNP (< 5%), the most active during the hottest periods of the day, with a mean group size 7.6 ± SE 8.9. The adult sex ratio was female-biased and showed low annual adult male survival rates. The population consisted of high proportion of juveniles, whilst adults did not exceed 40%. The estimated population density was 0.138 WDE/km2 (± 0.0102) and estimated size 195 WDE in NKNP. Findings highlighted that the WDE population has potential to expand in the NKNP, due to an underutilized capacity. The age-specific vital rates indicate adult males as the most vulnerable; suggesting either an increase in the large predators’ population, livestock encroachment pressure, and/or poaching. Findings imply that targeted monitoring with science-based interpretation may bring forward strong conservation solutions to the protected area management decision-makers.
Optimized Intelligent Auto-Regressive Neural Network Model (ARNN) for Prediction of Non-Linear Exogenous Signals
Authors: Farhi Lubna , Yasir Agha 
Published: March 2021

Abstract
The paper presents a prediction of non-linear exogenous signal by
optimized intelligent auto-regressive neural network model (ARNN). A signal
comprises of two sets of data called deterministic and error. The former type
of data represents the degradation index of a signal, while the error is the
uncertainties associated with the signal. To understand and predict signals, a
intelligent approach is taken through the use of ARNN model. In this approach,
the rst step is to diagnose whether a time series signal is normally distributed
or not by utilizing the Jarque-Bera test. The high and low volatility data ele-
ments can be separated via kurtosis hypothesis. The deterministic component
of the signal is also predicted by developing a neural network based non-linear
autoregressive model (NN-NARX) and the error component by using a linear
model. The nal forecast is formed by combining the results determined from
each of the models and evaluated using the mean square error results. Vali-
dation of the prediction is obtained through a comparison of the results with
other models such as ARNN, traditional ARMX, and NARX models. The re-
sults show that the proposed model provides improved predictions, minimize
high dependence on design parameters with low computational cost.
A non-human primate model of familial Alzheimer’s disease for translational medicine
Authors: Sato Kenya , Sasaguri Hiiroki , Wakako Kumita , Kurotani Yoiko , Inoue Takeshi , Nagata Kennichi , Mihira Naomi , Sato Kaori , Sakuma Tetsushi , Yamamoto Takashi , Tagami Michihira , Ri-ichiroh Manabe , Ozaki Kokoro , Okazaki Yasushi , Saido Takaomi , Sasaki Erika 
Published: March 2021

Abstract
Aging is a primary risk factor of Alzheimer’s disease (AD), with the world-wide number of patients anticipated shortly to exceed 50 million. Despite extensive research efforts, no effective measures are available for its prevention or treatment due in part to a lack of human-like animal models. Here, we describe the generation of three mutant marmoset individuals in which exon 9 of the PSEN1 gene product is deleted (PSEN1-ΔE9); the ΔE9 mutations have been reported to cause early onset familial AD1-5. We used Transcription Activator-Like Effector Nuclease (TALEN) to delete the 3’ splice site of exon 9 in the marmoset PSEN1 gene; to this end, TALEN exhibits high genome-editing efficacy, generates few off-target effects, and produces minimal mosaicism. Indeed, whole genome sequencing and other analyses illustrated an inclusive absence of off-target effects and apparent absence of mosaicism. Fibroblasts obtained from newborns indicated occurrence of full-length presenilin 1 protein (PS1) caused by perturbation of PS1 endoproteolysis as well as an increased ratio of Aβ42/Aβ40 production, a signature of familial AD pathogenesis. To our knowledge, this is the first non-human primate model of familial AD. The model lines will be made available to the research community to facilitate the global fight against AD.
Tomato endophyte bacteria diversity under long-term organic agricultural manipulation systems
Authors: Zhang Zeyu , Zhan Yabin , Zhang Zengqiang , Liu Youzhou , Xu Ting , Wei Yuquan , Li Ji 
Published: March 2021

Abstract
Purpose: Differences were observed in both microbial structure and physicochemical properties were observed in the organic and conventional agricultural systems. However, very little is known about the diversity of endophytic bacterial communities in plants grown in separate manipulation systems. The goal of this work was to get a broader overview of the diversity and dynamics of the tomato endophytic bacteria in the different agricultural manipulation systems.Methods: The structure of endophyte bacterial communities under different growth periods (seeding stage, flowering stage, fruiting stage and harvesting stage), agricultural manipulation practices (organic and conventional systems) and organ-type (root or stem) were explored by using 16Sr RNA gene profiling in this study.Results: A total of 2,014,992 part 16 SRRNA gene sequences were obtained. These sequences revealed large-scale functional taxonomy units (OTUs). That is, there are 648 different OTUS in libraries, and 96 OTUs are common. Tomato endophytes consisted mainly of four phylloxera, of which Proteobacteria was the most represented, followed by Formigiotes, bacteriophages, Actinobacteria, Gamma proteobacteria, the most abundant class of proteobacteria, bacteriobacteria, and so on. Proteobacteria are low. General enterobacteriaceae, Vecella, Bacillus, Mesorizobium and Chrysobacterium were shared by all growth periods. Rich endophytic bacterial diversity was observed at the seedling stage (DI), and endophytic bacterial diversity at the flowering stage and fruiting stage was low. Significant difference in endophytic bacterial communities emerged from roots and different host biographical stages, and tomato exerts greater influence on endophyte bacteria compared to organ type (main) agricultural manipulation methods.Conclusions: Tomato endophyte microbiota have a distinct structure in different growth periods. Bacillus were enriched seeding stage and decreased in the fruiting stage while Mesorhizobium increased during in the fruiting stage. Tomato have distinct endosphere microbiota by comparing beta diversity of microbiota in different growth periods, compared with the manipulation resume and organ type. And a strong correlation was observed between the structure of the microbiota in the whole dataset and soil chemistry which indicated that the soil type and treatment affected the endosphere microbiota of tomato. Organ-type (niche) exert more influence on the tomato microbiota compared with manipulation treatments between organic-farming and conventional farming.
Design of Novel One Port SIW based Leaky Wave Antenna for Respiration Monitoring Applications
Authors: Sharma Manvinder , Singh Harjinder 
Published: March 2021

Abstract
Proper and real-time monitoring of the respiratory activity of a patient is very important because failure of respiratory activity is difficult to predict in advance and this can become life critical in just few minutes. The conventional body mounted sensors can also infect sensor as the virus can stay on surface which limits the reuse of sensors for many days. In this paper, different methods which are used for monitoring respiratory activity have been studied. Electromagnetic waves based method is accurate and feasible. In this paper, the work has been carried out taking SIW and Leaky Wave Antenna. Modeling of SIW Leaky wave Antenna is done by making C shaped Slots. A range of frequency is applied as input ranges from 7 GHz to 11 GHz to analyse parameters like 2D far field pattern, VSWR, s-parameters and radiation efficiency of the proposed antenna. The results shows antenna is directional which can be focused on bed of patient. Antenna has directional pattern of 9.52 dB and 3dB angular width 37.5° and radiation efficiency of 96%. Proposed Antenna is compared with Horn, Helical, Patch and Yagi Uda Antenna previously used for respiration monitoring in terms of size, gain and HPBW.
Microscopic peripheral malarial parasite detection and classification in blood smears using Gabor Filters and Machine learning algorithms
Authors: C Aravinda , Lin Meng , R Udaya Kumar Reddy K , G Amar Prabhu 
Published: March 2021

Abstract
Background: Malarial fever disease mainly caused by Plasmodium para-site that is infectious to red blood cells. Manual mode of blood cell counting is a tedious process, this leads to distressing method for diagnosis. This process’s mainly impacted on larger screening process.Introduction: The advanced stage of technology, computer aided detection and analysis of this malarial disease, based on Gabor Filters followed by the comparison of XG-Boost classiﬁer, Support Vector Machine and Neural Net-work Classiﬁer algorithms chosen as architecture of choice for recognition and classiﬁcation of these malarial blood cells.Objective: The goal of this paper is to slow down the complexity in model discrepancy’s, and bring it to more desirable robustness and generalization, through the model development which detects and classify the parasitized and uninfected blood cells in the given sample. Roughly 13750 parasitized and 13750 unparasitized samples was taken for experiments.Results: From the experiments the models such as S.V.M achieved 94% and XG-Boost achieved 90% neural network classiﬁer achieved 80% , out of these S.V.M performed good results in classifying and recognizing the parasitized and uninfected blood cells to increase the accuracy in decision making. Conclusion: The accomplishment of these M.L models, pretends these problems with less variance and obtained excellent results.
Pyridine based cross-linked chitosan: a biopolymer adsorbent for the green removal of toxic metals from water
Authors: Bisiriyu Ibraheem Olayiwola , Meijboom Reinout 
Published: March 2021

Abstract
Herein we report the green recovery of toxic metals [namely: Cd2+, Cr3+, Mn2+, Pb2+, and Ni2+] from water utilizing a biopolymer: 2,6-pyridine dicarboxylic acid cross-linked chitosan (PDC-CCS) as the adsorbent. Adsorption studies were performed at a previously determined optimum adsorption conditions for Cu(II) [i.e temperature = 30 ℃, pH of about 7.5, contact time = 60 mins and initial metal ion concentration of 2.5 mM]. At the RI-PB/def2-SVP level of theory, the Density Functional Theory (DFT) approach has been used to evaluate adsorption energy for metal ions. Selectivity studies were performed at pH 4.20, 5.56, 6.65 and 7.61. While Mn(II), Cd(II) and Ni(II) were strongly adsorbed at higher pH (7.5), Cr(III) and Pb(II) were seen to be strongly adsorbed at lower pH (around 4.0). Selectivity studies revealed that PDC-CCS can be utilized for simultaneous removal of the metals at pH 4.2; selective adsorption of Mn(II) at pH 5.56 as well as simultaneous-selective removal of Ni(II) and Mn(II) near neutral pH. The maximum adsorption limit of PDC-CCS for Mn(II), Cd(II) and Ni(II), were found to be 1258.79, 1118.70 and 829.62 mmol/g respectively. When compared with some relevant previously used adsorbent, PDC-CCS shows an exceptional adsorption capacity. Consequently, a successful biopolymer adsorbent for the treatment of water contaminated by hazardous metals.
LncRNA SNHG11&nbsp;Promotes Temozolomide Resistance in Glioblastoma via Promoting MGMT Expression
Authors: Ji Tao , Lyu Xiao , You Yongping 
Published: March 2021

Abstract
Background

Acquired TMZ resistance is considered as the main reason for the poor prognosis of glioblastoma (GBM) patients. However, underlying mechanism remains unknown. Long noncoding RNAs (lncRNAs) have emerged as important regulators in multiple biological processes.
Methods

SNHG11 expression in cells and GBM tissues was measured using qRT-PCR. In vitro studies, including CCK-8, colony formation assay, flow cytometry and western blot, were employed to measure the role of SNHG11. Interaction between miR-7-5p, SNHG11, and IRS2 was examined by dual luciferase reporter assay, as well as RNA binding protein immunoprecipitation (RIP) assay. CHIP assays were used to measure the role of SNHG11/miR-7-5p/IRS2 axis on modulating the H3K9 acetylation of MGMT.
Results

SNHG11 overexpression in GBM tissues contributes to TMZ resistance. In vitro and in vivo studies confirmed that SNHG11 promoted TMZ resistance in GBM cells. In addition, SNHG11 conferred TMZ resistance through increasing MGMT expression. Furthermore, SNHG11 could function as ceRNA by sponging miR-7-5p, which led to increased IRS2 expression. SNHG11/miR-7-5p/IRS2 axis increased MGMT expression by promoting the acetylation of H3K9 in MGMT promoter regions.
Conclusion

Taken together, our results revealed that targeting SNHG11 is a potential therapy to overcome TMZ resistance. And SNHG11 in GBM tissues is a potential biomarker for predicting response to TMZ.
A new opportunity for the emerging tellurium semiconductor: resistive switching device implementation
Authors: Yang Yifei , Xu Mingkun , Xu Lujie , Wang Xinxin , Liu Huan , Liu Yuanshuang , Pei Jing , Duan Wenrui , Liu Dameng , Li Huanglong 
Published: March 2021

Abstract
The electrochemical (EC) resistive switching (RS) cross-point arrays, composed of nonvolatile RS (NV-RS) memories and volatile RS (V-RS) selectors, hold promise for high-density data storage, in-memory computing and neuromorphic computing. However, the conventional EC-RS devices based on metallic filaments suffer from the notorious current-volatility dilemma that the low and high current requirements for NV-RS memories and V-RS selectors, respectively, cannot be satisfied simultaneously, due to the dominant EC nature of the RS. In this work, we demonstrate electrochemically active, low thermal-conductivity and low melting-temperature semiconducting tellurium filament-based RS devices that solve this dilemma, enabling NV-RS memories to operate under lower currents than do V-RS selectors. This novel phenomenon arises as the consequence of the adversarial EC and Joule heating (JH) effects. The devices also show unusual stimulus frequency dependent long-term plasticity (LTP)-to-short-term plasticity (STP) transition. Devices with this property can be generically utilized as spatial-temporal filters in spiking neural networks (SNNs) for high-performance event-based visual recognition tasks, as illustrated in our noise filtering simulations. By regulating the EC-JH relationship using dielectric materials with decreasing thermal conductivities, full functional-range tunable Te filament-based devices, from always-NV RS, to NV-to-V transitionable RS, and to always-V RS, are also demonstrated. The tellurium filament-based RS devices are promising enablers for functional cross-point arrays.
Clinical Peculiarities of Bacterial Keratitis in Type 1 Diabetic Patients&nbsp;
Authors: Zavoloka Olesia 
Published: March 2021

Abstract
The purpose was to define the clinical peculiarities of bacterial keratitis in patients with type 1 diabetes mellitus (DM1) at visit 1. Methods. We retrospectively reviewed the results of 62 DM1 patients (62 eyes) with bacterial keratitis and 43 nondiabetic patients (43 eyes) with bacterial keratitis of the control group who were referred for visit 1 (before administering the treatment). Research methods were as follows: visual acuity, tonometry, slit-lamp biomicroscopy of anterior and posterior eye segments, bacteriological studies, fluorescein dye test, anterior eye OCT and non-contact corneal esthesiometry. Results. Compared to nondiabetic, DM1 patients with bacterial keratitis showed higher degree of inflammatory reaction in the anterior chamber of the eye at visit 1 (p<0.05) as well as 28.8% lower mean corneal sensitivity threshold (p<0.05). At visit 1, the degree of decreasing of corneal sensitivity in DM1 patients with bacterial keratitis was higher than in control group (p<0.05). Localization of bacterial keratitis, the degree of pericorneal injection, corneal ulcer defect size and depth, corneal infiltration as well as edema of the corneal tissue surrounding the ulcer did not depend on the presence of diabetes mellitus (р>0,05) at visit 1.Conclusions. There are clinical peculiarities of bacterial keratitis in patients with type 1 diabetes mellitus at visit 1.
Establishment and Preclinical Application of Conditional Reprogramming Culture System for Laryngeal and Hypopharyngeal Carcinoma
Authors: DONG Yanbo , WANG Jian , JI Wei , ZHENG Mengzhu , WANG Peng , Liu Liangfa , LI Shanhu 
Published: March 2021

Abstract
Purpose Management of laryngeal and hypopharyngeal squamous cell carcinoma (LHSCC) remains highly challenging due to their anatomic location and highly variable therapeutic responses. We aim to establish a new in vitro model for LHSCC based on conditional reprogramming (CR), a novel cell-culture technique, and investigate its potential value on personalized cancer therapies. Methods Primary LHSCC cells were isolated from tumor specimens and cultured under CR conditions. The characteristics and malignant potential of cells were evaluated by histological staining, whole-exome sequencing and heterotransplantation. The responses of CR tumor cells to anticancer drugs and radiotherapy were tested using cell proliferation assay. CR cells could form xenografts and organoids, which were used for drug testing respectively. Clinical responses for certain patients were also compared with in vitro responses. Results A panel of 28 human LHSCC CR cells were established from 50 tumor tissues. They retain tumorigenic potential upon xenotransplantation and recapitulate molecular characteristics of LHSCC. Differential responses to anticancer drugs and radiotherapy were detected in vitro. CR cells can be transformed to xenograft and organoid, shared comparable drug responses. The clinical drug responses were consistent with in vitro drug responses. Conclusions The patient-derived CR cell model could promisingly be utilized in clinical decision-making and assist in the selection of personalized therapies for LHSCC.
Convolutional Neural Networks That Identify Mosquito Species and Know When They Do Not Know
Authors: Goodwin Adam , Padmanabhan Sanket , Hira Sanchit , Glancey Margaret , Slinowsky Monet , Immidisetti Rakhil , Scavo Laura , Brey Jewell , Ford Tristan , Heier Collyn , Linton Yvonne-Marie , Pecor David , Caicedo-Quiroga Laura , Acharya Soumyadipta 
Published: March 2021

Abstract
With over 3,500 mosquito species described, accurate species identification of the few implicated in disease transmission is critical to mosquito borne disease mitigation. Yet this task is hindered by limited global taxonomic expertise and specimen damage consistent across common capture methods. Convolutional neural networks (CNNs) are promising with limited sets of species, but image database requirements restrict practical implementation. Using an image database of 2,696 specimens from 67 mosquito species, we address the practical open-set problem with a detection algorithm for novel-species. Closed-set classification of 16 known species achieved 97.04±0.87% accuracy independently, and 89.07±5.58% when cascaded with novelty detection. Closed-set classification of 39 species produces a macro F1-score of 86.07±1.81%. This demonstrates an accurate, scalable, and practical computer vision solution to identify wild-caught mosquitoes for implementation in biosurveillance and targeted vector control programs, without the need for extensive image database development for each new target region.
Effect of Si Content on the Morphology Evolution of the Si Primary Dendrites in Al-Si Alloy Solvent Refining Process
Authors: Gao Mangmang , Zhao Xu , Gao Ang , Li Rui , Chen Wenyu , Gao Min , Liang Sen , Li Haibo 
Published: March 2021

Abstract
Solvent refining with Al-Si alloy is a promising purification method for production of solar-grade silicon (SoG-Si) feedstock owing to the advantages of low production cost and high impurity removal efficiency. In this process, larger refined Si primary dendrites are easily collected after acid leaching, which is favorable to recovery, thereby to reduce the production cost. Hence, the growth behavior of the precipitated Si crystal must be investigated systematically. In present work, the morphology evolution of solidified Al-Si alloys with a wide range of Si content (30~70 wt.%) was analyzed. The typical plate-like Si primary dendrites grown following the twin plane re-entrance edge (TPRE) mechanism formed in all alloy compositions. As increasing the Si content from 30 wt.% to 50 wt.%, the Si primary dendrites underwent a coarsening process attributed to the preferred growth along <211> and <111> directions, leading to an increase in the experimental recovery rate. However, the preferred growth along <211> direction was inhibited when the Si content is higher than 55 wt.%. Moreover, the broken effect originating from grain collision and thermal stress on the Si primary dendrites was enhanced as further increasing the Si content, resulting in a decrease in the experimental recovery rate. Therefore, the optimum composition is determined as Al-50~55 wt.% Si for solvent refining solution, based on the cost reduction consideration.