bluuebunny/crossref_metadata_2025_split huggingface dataset:
Percutaneous transeptal mitral valve endocarditis debulking with AngioVac aspiration system
Authors: Memon Sehrish , Goldman Scott , Hawthorne Katie M. , Gnall Eric M. 
Published: July 2022

AbstractVacuum assisted aspiration with the AngioVac system has been well described for; right sided endocarditis, venous thrombus, lead related infection/thrombus aspiration and right sided cardiac mass evacuation. Percutaneous transeptal debulking with AngioVac for mitral valve endocarditis (MVE) in the inoperable or high surgical risk patient has not been well defined. A significant proportion of high/prohibitive surgical risk patients with left sided infective endocarditis (IE) are not offered valve surgery as patients in the acute active phase of IE have a high surgical mortality. Nonetheless, sequala of acute IE ie stroke, sepsis or hemodynamic instability in itself is associated with high morbidity and mortality without surgical treatment. A case report of an inoperable patient with methicillin sensitive staphylococcus aureus MVE who was offered MV vegetation debulking with the AngioVac Gen3 C 180 MV system is described. Preprocedural planning with attention to; optimal transeptal height puncture, use of sentinel cerebral protection device to decrease risk of procedure related cerebral embolism and venous extracorporeal membrane cannula, rather than arterial cannula for reinfusion, is described to avoid large bore arterial access related vascular complications. Further studies in a randomized manner are warranted to test these procedural techniques and determine outcomes of percutaneous aspiration of left sided IE with the AngioVac system in this highrisk inoperable cohort of patients.
The Radical Anion, Dianion and Electron Transport Properties of Tetraiodotetraazapentacene
Authors: Wiesner Thomas , Wu Zhu , Han Jie , Ji Lei , Friedrich Alexandra , Krummenacher Ivo , Moos Michael , Lambert Christoph , Braunschweig Holger , Rudin Benjamin , Reiss Hilmar , Tverskoy Olena , Rominger Frank , Dreuw Andreas , Marder Todd B. , Freudenberg Jan , Bunz Uwe H. F. 
Published: August 2022

AbstractTetraiodotetraazapentacene I4TAP, the last missing derivative in the series of halogenated silylated tetraazapentacenes, was synthesized via condensation chemistry from a TIPS‐ethynylated diaminobenzothiadiazol in three steps. Single and double reduction furnished its air‐stable monoanion and relatively air‐stable dianion, both of which were characterized by crystallography. All three species are structurally and spectroscopically compared to non‐halogenated TAP and Br4TAP. I4TAP is an n‐channel material in thin‐film transistors with average electron mobilities exceeding 1 cm2 (Vs)−1.
Transition Metal‐Free Regio‐ and Stereo‐Selective trans Hydroboration of 1,3‐Diynes: A Phosphine‐Catalyzed Access to (E)‐1‐Boryl‐1,3‐Enynes
Authors: Jos Swetha , Szwetkowski Connor , Slebodnick Carla , Ricker Robert , Chan Ka Lok , Chan Wing Chun , Radius Udo , Lin Zhenyang , Marder Todd B. , Santos Webster L. 
Published: August 2022

AbstractWe report a transition metal‐free, regio‐ and stereo‐selective, phosphine‐catalyzed method for the trans hydroboration of 1,3‐diynes with pinacolborane that affords (E)‐1‐boryl‐1,3‐enynes. The reaction proceeds with excellent selectivity for boron addition to the external carbon of the 1,3‐diyne framework as unambiguously established by NMR and X‐ray crystallographic studies. The reaction displays a broad substrate scope including unsymmetrical diynes to generate products in high yield (up to 95 %). Experimental and theoretical studies suggest that phosphine attack on the alkyne is a key process in the catalytic cycle.
Berufsbild und Innovationen im betrieblichen Alltag
Authors: Woppowa Ljuba 
Published: July 2022

AbstractBetriebsingenieure sind systemrelevant – nicht erst seit Corona und gekappter Lieferketten. Sie garantieren die Produktion von wichtigen Produkten der chemischen Industrie. Der VDI‐GVC präsentiert auf der Achema 2022 Informationsplattform für Ingenieure in der Produktion und informiert über das Berufsbild der Betriebsingenieure.
Wenn die Stärke vom Weizen getrennt wird
Authors: Deliano Julia 
Published: July 2022

AbstractAufgrund des hohen Stärkegehalts ist die Verarbeitung der Weizenstärke besonders relevant und der Herstellungsprozess wird mit Blick auf die Nachhaltigkeit immer wichtiger. Der ungarische Produzent von Weizenstärke Viresol reduziert seinen ökologischen Fußabdruck und optimiert gleichzeitig das Hygienic Design mit der Technologie von Flottweg.
Wasserstoff‐Contracting für nachhaltige Chemiestandorte
Authors: Gebhardt Arthur 
Published: July 2022

AbstractDie Chemiebranche steht vor großen Herausforderungen, um die Kohlendioxidemissionen zu reduzieren und die Produktion zu Decarbonisieren. Die Lösung liegt im Einsatz grüner Moleküle und die dafür notwendige zusätzliche “Fabrik vor der Fabrik” wird zum entscheidenden Erfolgsfaktor für die Energiewende. Entsprechende Konzepte entstehen aktuell bei Getec in der Schweiz und in den Niederlanden
Applanoids A—E as the First Examples of C‐15/C‐20 Michael Adducts in Ganoderma Triterpenoids and Their PXR Agonistic Activity
Authors: Su Hai‐Guo , Liang Hang‐Fei , Hu Gui‐Lin , Zhou Lin , Peng Xing‐Rong , Bi Hui‐Chang , Qiu Ming‐Hua 
Published: July 2022

Comprehensive SummaryGanoderma triterpenoids (GTs), a class of major active constituents of Ganoderma fungi, possess diverse structures and remarkable activities. In the present study, nine new GTs, namely applanoids A—I (1—9), were isolated from the medicinal fungus of Ganoderma applanatum. Their structures including absolute configurations were established by comprehensive spectroscopic analyses and ECD calculation. Applanoids A—E (1—5) represent the first example of GTs with 6/6/5/6/5 pentacyclic system and the formation of the ether ring between C‐15 and C‐20 involves Michael addition reaction. Furthermore, compounds 1—8 were evaluated for their human pregnane X receptor (hPXR) agonistic activity using dual‐luciferase reporter gene assay, and the results showed that compounds 1, 2 and 4 can dose‐dependently activate hPXR. This investigation further illustrated the structural diversity of GTs and provided new insights for searching PXR agonists from GTs.
Network intrusion detection system for Internet of Things based on enhanced flower pollination algorithm and ensemble classifier
Authors: Gangula Rekha , V Murali Mohan , M Ranjeeth Kumar 
Published: July 2022

SummaryIn the Internet of Things environment, the intrusion detection involves identification of distributed denial of service attacks in the network traffic which is aimed at improving network security. Recently, several methods have been developed for network anomaly detection which is generally based on the conventional machine learning techniques. The existing methods completely rely on manual traffic features which increases the system complexity and results in a lower detection rate on large traffic datasets. To overcome these issues, a new intrusion detection system is proposed based on the enhanced flower pollination algorithm (EFPA) and ensemble classification technique. First, the optimal set of features is selected from the UNSW‐NB15 and NSL‐KDD datasets by using EFPA. In the EFPA, a scaling factor is used in the conventional FPA for optimal feature selection and better convergence, and the selected features are fed to the ensemble classifier for network attack detection. The ensemble classifier aims to learn a set of classifiers such as random forest, decision tree (ID3), and support vector machine classifiers and then votes the best results. In the resulting section, the proposed ensemble‐based EFPA model attained 99.32% and 99.67% of accuracy on UNSW‐NB15 and NSL‐KDD datasets, respectively, and these obtained results are more superior compared to the traditional network intrusion detection models. The proposed and the existing models are validated on the anaconda‐navigator and Python 3.6 software environment.
Multi‐texture features and optimized DeepNet for COVID‐19 detection using chest x‐ray images
Authors: Gopatoti Anandbabu , P Vijayalakshmi 
Published: August 2022

SummaryThe corona virus disease 2019 (COVID‐19) pandemic has a severe influence on population health all over the world. Various methods are developed for detecting the COVID‐19, but the process of diagnosing this problem from radiology and radiography images is one of the effective procedures for diagnosing the affected patients. Therefore, a robust and effective multi‐local texture features (MLTF)‐based feature extraction approach and Improved Weed Sea‐based DeepNet (IWS‐based DeepNet) approach is proposed for detecting the COVID‐19 at an earlier stage. The developed IWS‐based DeepNet is developed for detecting COVID‐19to optimize the structure of the Deep Convolutional Neural Network (Deep CNN). The IWS is devised by incorporating the Improved Invasive Weed Optimization (IIWO) and Sea Lion Optimization (SLnO), respectively. The noises present in the input chest x‐ray (CXR) image are discarded using Region of Interest (RoI) extraction by adaptive thresholding technique. For feature extraction, the proposed MLFT is newly developed by considering various texture features for extracting the best features. Finally, the COVID‐19 detection is performed using the proposed IWS‐based DeepNet. Furthermore, the proposed technique achieved effective performance in terms of True Positive Rate (TPR), True Negative Rate (TNR), and accuracy with the maximum values of 0.933%, 0.890%, and 0.919%.
Jaya‐tunicate swarm algorithm based generative adversarial network for COVID‐19 prediction with chest computed tomography images
Authors: Doraiswami Palanivel Rajan , Sarveshwaran Velliangiri , Swamidason Iwin Thanakumar Joseph , Sorna Sona Chandra Devadass 
Published: July 2022

SummaryA novel corona virus (COVID‐19) has materialized as the respiratory syndrome in recent decades. Chest computed tomography scanning is the significant technology for monitoring and predicting COVID‐19. To predict the patients of COVID‐19 at early stage poses an open challenge in the research community. Therefore, an effective prediction mechanism named Jaya‐tunicate swarm algorithm driven generative adversarial network (Jaya‐TSA with GAN) is proposed in this research to find patients of COVID‐19 infections. The developed Jaya‐TSA is the incorporation of Jaya algorithm with tunicate swarm algorithm (TSA). However, lungs lobs are segmented using Bayesian fuzzy clustering, which effectively find the boundary regions of lung lobes. Based on the extracted features, the process of COVID‐19 prediction is accomplished using GAN. The optimal solution is obtained by training GAN using proposed Jaya‐TSA with respect to fitness measure. The dimensionality of features is reduced by extracting the optimal features, which enable to increase the speed of training process. Moreover, the developed Jaya‐TSA based GAN attained outstanding effectiveness by considering the factors, like, specificity, accuracy, and sensitivity that captured the importance as 0.8857, 0.8727, and 0.85 by varying training data.
Single‐Step Synthesis of Fe−Fe3O4 Catalyst for Highly Efficient and Selective Electrochemical Nitrogen Reduction
Authors: Xie Hui‐Qi , Zheng Xuan , Feng Qing‐Yun , Chen Xiao‐Ping , Zou Ze‐Hua , Wang Qing‐Xiang , Tang Jing , Li Yi , Ling Yun 
Published: July 2022

AbstractNitrogen reduction electrocatalysts are highly attractive for catalytic science. However, most electrocatalysts are limited by their low faradaic efficiency, poor ammonia yield, and tedious and costly catalyst synthesis process. In this work, Fe‐based oxide composite nanoparticles with steady chemical states are prepared by a single‐step green procedure under ambient conditions. The resulting Fe−Fe3O4 demonstrates remarkable activity and selectivity for nitrogen reduction reaction (NRR) with the highest faradaic efficiency of 53.2±1.8 % and NH3 yield rate of 24.6±0.8 μg h−1 mgcat.−1 at −0.4 V (vs. RHE) in 0.1 m Na2SO4 electrolyte. Characterization experiments and theoretical calculation reveal that Fe−Fe3O4 exhibits significantly enhanced charge transfer capability and suppresses the competitive HER process.
Nitrogen Electroreduction on Borophene‐Supported Atomic and Diatomic Transition Metals: Stability, Activity and Selectivity Improvements via Defect‐Engineering
Authors: Sun Yi‐Bing , Liu Yi‐Qing , Zhao Xiang , Wang Wei‐Wei , Dang Jing‐Shuang 
Published: July 2022

AbstractThe present work investigated the binding of atomically dispersed transition metals to the perfect and single/double vacancy (SV/DV)‐containing defective β12‐borophenes and the catalytic performance of those corresponding single‐atom catalysts (SACs) and diatomic catalysts (DACs) for nitrogen reduction reaction (NRR) by means of density functional theory calculations. Although previous theoretical studies proposed that the inherent hexagon hole of the defect‐free β12‐borophene is capable of anchoring single metal atom for NRR, calculations suggested that the interaction between borophene and doped metal is not strong enough to avoid metal aggregation. For the defective β12‐borophene with SV, even though the single metal could be stabilized in an 8‐membered ring, it was found that the SAC was still ineffective for NRR because of the competitive hydrogen evolution process. Regarding the DV‐containing β12‐borophene, a defective configuration with an unexpected 11‐membered hole was proved as the most stable structure, which possessed a very similar average atomic energy (6.25 eV atom−1) compared to that of the pristine β12 sheet (6.26 eV atom−1). Two metal atoms could be encapsulated into the confined space of the B11 ring. Compared to SACs, those corresponding DACs were more active for N2 fixation and hydrogenation, and the hydrogen evolution reaction could be passivated, attributing to the synergistic effect of dual metal centres. Among all candidates, the V2/β12‐DV was predicted as the most promising catalyst for NRR, with the limiting potential of as low as −0.15 V.
Determination of the Structures of Lignin Subunits and Nanoparticles in Solution by Small‐Angle Neutron Scattering: Towards Improving Lignin Valorization
Authors: Zhang Xin , Zhang Jinxu , Yang Hua , He Chunyong , Ke Yubin , Singh Seema , Cheng Gang 
Published: August 2022

AbstractLignin nanoparticles (LNPs) are usually produced from lignin solution through supersaturation. The structure of the lignin in solution is still poorly understood due to structural variability of isolated lignins. Here, lignins were extracted from different plants to establish a general pattern of their structure in several lignin solvents. Lignin molecules (lignin subunits) and larger aggregates were observed in dimethyl sulfoxide (DMSO), ethylene glycol (EG) and 0.1 N NaOD solutions by small‐angle neutron scattering (SANS). It was proposed that the aggregates were composed of lignin subunits with a higher molecular weight and a higher ratio of the aliphatic to phenolic hydroxyl groups. The size, shape, and compactness are important factors that affect the uses of the LNPs, which were obtained from the SANS data for the first time. A discrepancy in the radius between SANS and DLS was discovered, pointing to a large hydration shell around the LNPs in aqueous solutions. The cytotoxicity of the corncob lignin, kraft lignin, and their LNPs were measured and compared.
Visible Light‐Induced Unactivated δ‐C(sp3)−H Amination of Alcohols Catalyzed by Iron
Authors: Jue Zhaofan , Huang Yahao , Qian Jiahui , Hu Peng 
Published: August 2022

AbstractAn iron‐catalyzed remote C(sp3)−H amination of alcohols through 1,5‐hydrogen atom transfer is developed. This protocol provides a method to generate δ‐C(sp3)−N bonds from primary, secondary, and tertiary alcohols under mild conditions. A wide substrate scope and a good functional group tolerance are presented. Mechanistic studies show that a LMCT course of an Fe−OR species and a chlorine radical‐induced hydrogen abstraction of an alcohol are possible to generate the alkoxy radical intermediate.
The necessity of continuing cervical cancer screening of elderly Korean women aged 65 years or older
Authors: Cho Sumin , Lee Seon‐Mi , Lee Sanghoon , Cho Hyun‐Woong , Min Kyung‐Jin , Hong Jin‐Hwa , Song Jae‐Yun , Lee Jae‐Kwan , Lee Nak‐Woo 
Published: July 2022

AbstractBackgroundAlthough the incidence of cervical cancer has decreased since the 1980s in Korea, it remains high among the elderly women. This study evaluated the suitability of cervical cancer screening for elderly Korean women aged ≥65 years according to recommendations by the American Society of Cytopathology and American Society for Colposcopy and Cervical Pathology.MethodsWe retrospectively reviewed the records of patients who underwent cervical cancer screening, followed by liquid‐based Pap test, human papillomavirus (HPV) test, and colposcopic punch biopsy at two academic hospitals from May 2008 to May 2018. The participants were divided into two groups <65 and ≥65 years old. Logistic regression analysis was performed to evaluate the association between cytology tests, HPV tests and the occurrence of high‐risk lesions, ≥cervical intraepithelial neoplasia2 (CIN2).ResultsThe mean patient age was 49.02 ± 15.437 (range 15–91) years. No patients aged <25 years showed atypical squamous cell‐cannot exclude high grade (ASC‐H), squamous cell carcinoma (SCC), or adenocarcinoma (ADC). The incidence of high‐grade squamous intraepithelial lesion (HISL) (39.7%) and ≥CIN 3 (40.2%) was significantly higher in patients ≥65 years of age than in other age groups. However, patients ≥65 years showed increased HSIL and HPV negativity and ASC‐H, HSIL, and HPV positivity in those with ≥CIN 2 (both p = .043).ConclusionKorean women aged ≥65 years should undergo cervical cancer screening. The relevance of HPV or Cytology test alone or co‐test for screening should be evaluated in this population.
Examining associations between symptoms of eating disorders and symptoms of anxiety, depression, suicidal ideation, and perceived family functioning in university students: A brief report
Authors: Murga Camila , Cabezas Ruth , Mora Carolina , Campos Susana , Núñez Daniel 
Published: July 2022

AbstractObjectiveWe examined the relationships between eating disorders symptoms (EDs), suicidal ideation, depressive and anxiety symptoms, and perceived family functioning in a sample of university students aged 18–25 years (N = 397).MethodAssessment of symptoms was carried out with the Eating Disorder Diagnostic Scale, Beck Anxiety Inventory and Beck Depression Inventory, among others. We explored the associations between the domains using network analysis.ResultsWe found that physical anxiety symptoms, followed by cognitive and physical depressive symptoms showed the greatest centrality in the current network. Perceived family functioning was negatively related to eating disorder symptoms.DiscussionWe provide evidence regarding the relevant role of anxiety and depression symptoms in the presentation of ED symptoms in university students. These findings provide new insights to improve preventive interventions to timely reduce symptoms and risk factors associated with EDs.Public significanceUsing a network approach, we found specific associations between physical anxiety symptoms, cognitive and physical depressive symptoms, eating disorders symptoms, suicidal ideation and perceived family functioning in university students. These variables can be potential targets to develop evidence‐based preventive strategies in this population. A better understanding of these complex associations and the role of family variables could enhance the effectiveness of interventions in both clinical and educational settings.
Low‐head dams induce biotic homogenization/differentiation of fish assemblages in subtropical streams
Authors: Li Qiang , Zhang Yuzhou , Wang Ruolan , Chu Ling , Li Yuru , Yan Yunzhi 
Published: July 2022

AbstractExtensive distribution of widespread species and the loss of native species driven by anthropogenic disturbances modify community similarity, resulting in a decrease or increase in community distinctiveness. Data from four basins in the Wannan Mountains, China, were used to evaluate the effects of low‐head dams on patterns of fish faunal homogenization and differentiation based on abundance data. We aimed to examine the spatial changes in taxonomic and functional similarities of fish assemblages driven by low‐head dams and to examine whether the changes in the similarity of fish assemblages differed between taxonomic and functional components. We found that low‐head dams significantly decreased the mean taxonomic similarity but increased the mean functional similarity of fish assemblages in impoundments using abundance‐based approaches, suggesting that taxonomic differentiation accompanied functional homogenization in stream fish assemblages. These results show the importance of population abundance in structuring fish faunal homogenization and differentiation at small scales, especially when the major differences among assemblages are in species abundance ranks rather than species identities. Additionally, we also found only a weak positive correlation between changes in mean taxonomic and functional similarities, and partial pairs exhibited considerable variation in patterns of fish faunal homogenization and differentiation for taxonomic and functional components. In conclusion, this study highlighted that the observed taxonomic differentiation of current fish assemblages (short‐term phenomenon) is probably an early warning sign of further homogenization in regions where native species are completely predominated and that changes in taxonomic similarity cannot be used to predict changes in functional similarity.
Past, present, and future predictions on the suitable habitat of the Slender racer (Orientocoluber spinalis) using species distribution models
Authors: Park Il‐Kook , Borzée Amaël , Park Jaejin , Min Seong‐Hun , Zhang Yong‐Pu , Li Shu‐Ran , Park Daesik 
Published: July 2022

AbstractSpecies distribution models (SDMs) across past, present, and future timelines provide insights into the current distribution of these species and their reaction to climate change. Specifically, if a species is threatened or not well‐known, the information may be critical to understand that species. In this study, we computed SDMs for Orientocoluber spinalis, a monotypic snake genus found in central and northeast Asia, across the past (last interglacial, last glacial maximum, and mid‐Holocene), present, and future (2070s). The goal of the study was to understand the shifts in distribution across time, and the climatic factors primarily affecting the distribution of the species. We found the suitable habitat of O. spinalis to be persistently located in cold‐dry winter and hot summer climatic areas where annual mean temperature, isothermality, and annual mean precipitation were important for suitable habitat conditions. Since the last glacial maximum, the suitable habitat of the species has consistently shifted northward. Despite the increase in suitable habitat, the rapid alterations in weather regimes because of climate change in the near future are likely to greatly threaten the southern populations of O. spinalis, especially in South Korea and China. To cope with such potential future threats, understanding the ecological requirements of the species and developing conservation plans are urgently needed.