bluuebunny/crossref_metadata_2025_split huggingface dataset:
Significance of the suture line in cephalopod taxonomy revealed by 3D morphometrics in the modern nautilids Nautilus and Allonautilus
Authors: Tajika Amane , Morimoto Naoki , Landman Neil H. 
Published: August 2021

AbstractAssessing the taxonomic importance of the suture line in shelled cephalopods is a key to better understanding the diversity of this group in Earth history. Because fossils are subject to taphonomic artifacts, an in-depth knowledge of well-preserved modern organisms is needed as an important reference. Here, we examine the suture line morphology of all known species of the modern cephalopodsNautilusandAllonautilus. We applied computed tomography and geometric morphometrics to quantify the suture line morphology as well as the conch geometry and septal spacing. Results reveal that the suture line and conch geometry are useful in distinguishing species, while septal spacing is less useful. We also constructed cluster trees to illustrate the similarity among species. The tree based on conch geometry in middle ontogeny is nearly congruent with those previously reconstructed based on molecular data. In addition, different geographical populations of the same species ofNautilusseparate out in this tree. This suggests that genetically distinct (i.e., geographically isolated) populations ofNautiluscan also be distinguished using conch geometry. Our results are applicable to closely related fossil cephalopods (nautilids), but may not apply to more distantly related forms (ammonoids).
Identification of new target proteins of a Urotensin-II receptor antagonist using transcriptome-based drug repositioning approach
Authors: Lim Gyutae , Lim Chae Jo , Lee Jeong Hyun , Lee Byung Ho , Ryu Jae Yong , Oh Kwang-Seok 
Published: August 2021

AbstractDrug repositioning research using transcriptome data has recently attracted attention. In this study, we attempted to identify new target proteins of the urotensin-II receptor antagonist, KR-37524 (4-(3-bromo-4-(piperidin-4-yloxy)benzyl)-N-(3-(dimethylamino)phenyl)piperazine-1-carboxamide dihydrochloride), using a transcriptome-based drug repositioning approach. To do this, we obtained KR-37524-induced gene expression profile changes in four cell lines (A375, A549, MCF7, and PC3), and compared them with the approved drug-induced gene expression profile changes available in the LINCS L1000 database to identify approved drugs with similar gene expression profile changes. Here, the similarity between the two gene expression profile changes was calculated using the connectivity score. We then selected proteins that are known targets of the top three approved drugs with the highest connectivity score in each cell line (12 drugs in total) as potential targets of KR-37524. Seven potential target proteins were experimentally confirmed using an in vitro binding assay. Through this analysis, we identified that neurologically regulated serotonin transporter proteins are new target proteins of KR-37524. These results indicate that the transcriptome-based drug repositioning approach can be used to identify new target proteins of a given compound, and we provide a standalone software developed in this study that will serve as a useful tool for drug repositioning.
Differential progression of coronary atherosclerosis according to plaque composition: a cluster analysis of PARADIGM registry data
Authors: Yoon Yeonyee E. , Baskaran Lohendran , Lee Benjamin C. , Pandey Mohit Kumar , Goebel Benjamin , Lee Sang-Eun , Sung Ji Min , Andreini Daniele , Al-Mallah Mouaz H. , Budoff Matthew J. , Cademartiri Filippo , Chinnaiyan Kavitha , Choi Jung Hyun , Chun Eun Ju , Conte Edoardo , Gottlieb Ilan , Hadamitzky Martin , Kim Yong Jin , Lee Byoung Kwon , Leipsic Jonathon A. , Maffei Erica , Marques Hugo , de Araújo Gonçalves Pedro , Pontone Gianluca , Shin Sanghoon , Narula Jagat , Bax Jeroen J. , Lin Fay Yu-Huei , Shaw Leslee , Chang Hyuk-Jae 
Published: August 2021

AbstractPatient-specific phenotyping of coronary atherosclerosis would facilitate personalized risk assessment and preventive treatment. We explored whether unsupervised cluster analysis can categorize patients with coronary atherosclerosis according to their plaque composition, and determined how these differing plaque composition profiles impact plaque progression. Patients with coronary atherosclerotic plaque (n = 947; median age, 62 years; 59% male) were enrolled from a prospective multi-national registry of consecutive patients who underwent serial coronary computed tomography angiography (median inter-scan duration, 3.3 years). K-means clustering applied to the percent volume of each plaque component and identified 4 clusters of patients with distinct plaque composition. Cluster 1 (n = 52), which comprised mainly fibro-fatty plaque with a significant necrotic core (median, 55.7% and 16.0% of the total plaque volume, respectively), showed the least total plaque volume (PV) progression (+ 23.3 mm3), with necrotic core and fibro-fatty PV regression (− 5.7 mm3 and − 5.6 mm3, respectively). Cluster 2 (n = 219), which contained largely fibro-fatty (39.2%) and fibrous plaque (46.8%), showed fibro-fatty PV regression (− 2.4 mm3). Cluster 3 (n = 376), which comprised mostly fibrous (62.7%) and calcified plaque (23.6%), showed increasingly prominent calcified PV progression (+ 21.4 mm3). Cluster 4 (n = 300), which comprised mostly calcified plaque (58.7%), demonstrated the greatest total PV increase (+ 50.7mm3), predominantly increasing in calcified PV (+ 35.9 mm3). Multivariable analysis showed higher risk for plaque progression in Clusters 3 and 4, and higher risk for adverse cardiac events in Clusters 2, 3, and 4 compared to that in Cluster 1. Unsupervised clustering algorithms may uniquely characterize patient phenotypes with varied atherosclerotic plaque profiles, yielding distinct patterns of progressive disease and outcome.
Identifying subtypes of bipolar disorder based on clinical and neurobiological characteristics
Authors: Chen Yen-Ling , Tu Pei-Chi , Huang Tzu-Hsuan , Bai Ya-Mei , Su Tung-Ping , Chen Mu-Hong , Wu Yu-Te 
Published: August 2021

AbstractThe ability to classify patients with bipolar disorder (BD) is restricted by their heterogeneity, which limits the understanding of their neuropathology. Therefore, we aimed to investigate clinically discernible and neurobiologically distinguishable BD subtypes. T1-weighted and resting-state functional magnetic resonance images of 112 patients with BD were obtained, and patients were segregated according to diagnostic subtype (i.e., types I and II) and clinical patterns, including the number of episodes and hospitalizations and history of suicide and psychosis. For each clinical pattern, fewer and more occurrences subgroups and types I and II were classified through nested cross-validation for robust performance, with minimum redundancy and maximum relevance, in feature selection. To assess the proportion of variance in cognitive performance explained by the neurobiological markers, multiple linear regression between verbal memory and the selected features was conducted. Satisfactory performance (mean accuracy, 73.60%) in classifying patients with a high or low number of episodes was attained through functional connectivity, mostly from default-mode and motor networks. Moreover, these neurobiological markers explained 62% of the variance in verbal memory. The number of episodes is a potentially critical aspect of the neuropathology of BD. Neurobiological markers can help identify BD neuroprogression.
Modulation of Toll-like receptor 1 intracellular domain structure and activity by Zn2+ ions
Authors: Lushpa Vladislav A. , Goncharuk Marina V. , Lin Cong , Zalevsky Arthur O. , Talyzina Irina A. , Luginina Aleksandra P. , Vakhrameev Daniil D. , Shevtsov Mikhail B. , Goncharuk Sergey A. , Arseniev Alexander S. , Borshchevskiy Valentin I. , Wang Xiaohui , Mineev Konstantin S. 
Published: August 2021

AbstractToll-like receptors (TLRs) play an important role in the innate immune response. While a lot is known about the structures of their extracellular parts, many questions are still left unanswered, when the structural basis of TLR activation is analyzed for the TLR intracellular domains. Here we report the structure and dynamics of TLR1 toll-interleukin like (TIR) cytoplasmic domain in crystal and in solution. We found that the TLR1-TIR domain is capable of specific binding of Zn with nanomolar affinity. Interactions with Zn are mediated by cysteine residues 667 and 686 and C667 is essential for the Zn binding. Potential structures of the TLR1-TIR/Zn complex were predicted in silico. Using the functional assays for the heterodimeric TLR1/2 receptor, we found that both Zn addition and Zn depletion affect the activity of TLR1, and C667A mutation disrupts the receptor activity. Analysis of C667 position in the TLR1 structure and possible effects of C667A mutation, suggests that zinc-binding ability of TLR1-TIR domain is critical for the receptor activation.
The genome of the thin-necked bladder worm Taenia hydatigena reveals evolutionary strategies for helminth survival
Authors: Wang Shuai , Liu Xiaolin , Liu Zhongli , Wang Yugui , Guo Aijiang , Huang Wanlong , Wang Qianhao , Zhang Shaohua , Zhu Guan , Luo Xuenong , Zhu Xing-quan , Cai Xuepeng 
Published: August 2021

AbstractTaenia hydatigena is a widespread gastrointestinal helminth that causes significant health problems in livestock industry. This parasite can survive in a remarkably wide range of intermediate hosts and affects the transmission dynamics of zoonotic parasites. T. hydatigena is therefore of particular interest to researchers interested in studying zoonotic diseases and the evolutionary strategies of parasites. Herein we report a high-quality draft genome for this tapeworm, characterized by some hallmarks (e.g., expanded genome size, wide integrations of viral-like sequences and extensive alternative splicing during development), and specialized adaptations related to its parasitic fitness (e.g., adaptive evolutions for teguments and lipid metabolism). Importantly, in contrast with the evolutionarily close trematodes, which achieve gene diversification associated with immunosuppression by gene family expansions, in T. hydatigena and other cestodes, this is accomplished by alternative splicing and gene loss. This indicates that these two classes have evolved different mechanisms for survival. In addition, molecular targets for diagnosis and intervention were identified to facilitate the development of control interventions. Overall, this work uncovers new strategies by which helminths evolved to interact with their hosts.
Exposure to cigarette smoke precipitates simple hepatosteatosis to NASH in high-fat diet fed mice by inducing oxidative stress
Authors: Fouda Sherouk , Khan Anwar , Chan Stanley M.H. , Mahzari Ali , Zhou Xiu , Qin Cheng Xue , Vlahos Ross , Ye Ji-Ming 
Published: August 2021

Abstract
Consumption of diet rich in fat and cigarette smoking (CS) are independent risk factors of non-alcoholic steatohepatitis (NASH), and they often occur together in some populations. The present study investigated the mechanisms of high-fat diet (HFD) and CS, individually and in combination, on the pathogenesis of NASH in mice. C57BL/6 male mice were subjected to either a low-fat chow (CH) or HFD with or without mainstream CS-exposure (4 cigarettes/day, 5 days/ week for 14 weeks). HFD alone caused hepatosteatosis (2.5-fold increase in TG content) and a significant increase in 3-nitrotyrisine (by ∼40-fold) but without an indication of liver injury, inflammation or fibrosis. CS alone in CH-fed mice increased in Tnfα expression and macrophage infiltration by 2-fold and relatively less increase in 3-nitrotyrosine (18-fold). Combination of HFD and CS precipitated hepatosteatosis to NASH reflected by exacerbated makers of liver inflammation and fibrosis which were associated with much severe liver oxidative stress (90-fold increase in 3-nitrotyrisine along with 6-fold increase in carbonylated proteins and 56% increase in lipid oxidations). Further studies were performed to administer the antioxidant tempol to CS exposed HFD mice and the results showed that the inhibition of liver oxidative stress prevented inflammatory and fibrotic changes in liver despite persisting hepatosteatosis. Our findings suggest that oxidative stress is a key mechanism underlying CS-promoted progression of simple hepatosteatosis to NASH. Targeting hepatic oxidative stress may be a viable strategy in halting the progression of metabolic associated fatty liver disease.
Model‐free linear active disturbance rejection output feedback control for electro‐hydraulic proportional system with unknown dead‐zone
Authors: Wang Lixin , Zhao Dingxuan , Zhang Zhuxin , Liu Qian , Liu Fucai , Jia Tuo 
Published: August 2021

AbstractHere, a model‐free linear active disturbance rejection controller (LADRC) integrating dead‐zone inverse compensation for an electro‐hydraulic proportional (EHP) system with an unknown dead‐zone is proposed. Unlike the existing LADRC design idea, the presented method uses a new hydraulic system block diagram to select the order of LADRC instead of the highest degree of the system. Furthermore, the rationality of order selection is illustrated by the frequency domain analysis theory. To solve the dead‐zone of the proportional valve, a novel structural transformation is proposed by constructing a new dead‐zone, which has a definite physical meaning and can be obtained by the experimental measurement. Then, the dead‐zone disturbance is reduced, and the burden of the observer is relieved. At the same time, the controller parameters are decreased from three to two equivalent PI controller. Besides, the stability of the closed‐loop system is analysed by the describing function method. The performance of the proposed control solution has been investigated through extensive comparative experiments under different working conditions. The experimental results successfully demonstrate the effectiveness and practicality of the presented method.
All‐factor short‐term photovoltaic output power forecast
Authors: Zhang Na , Wang Shouxiang , Liu Guang‐Chen , Zhang Jian‐Wei 
Published: August 2021

AbstractAccurately predicting photovoltaic output power is one of the most important basic tasks for the rapid development of the smart grid. The factors that influence photovoltaic output power are not fully considered in the current forecast model. To this end, an all‐factor photovoltaic short‐term output power prediction model based on improved ensemble empirical mode decomposition (EEMD) and the seeker optimization algorithm (SOA) ‐BP neural network model is proposed here. First, different similarity algorithms are used in the selection of similar days of different weather types. Second, the factors that affect the PV output power are divided into deterministic parameters and stochastic parameters. The stochastic parameters of similar daily samples are used to constitute a time series, which is decomposed into several stationary signals by EEMD, and then, these signals are trained separately by the SOA‐BPNN model. Finally, the final forecast result can be synthesized with the deterministic parameters and the accumulation of the predicted data of individual signals. Compared with the results of different prediction models, the prediction accuracy of the proposed model is much higher.
Cluster division in wind farm through ensemble modelling
Authors: Wang Yue , Li Yong‐Gang , Xie Huiyang , Wu Bin‐Yuan , Yang Yi‐Nan 
Published: August 2021

AbstractTo increase the equivalence accuracy of wind farms and expand their applicability under multiple operating conditions, this paper proposes a method combining blending with extreme gradient boosting (XGBoost) to realize clustering index dimensionality reduction and dynamic time warping (DTW) optimization. Density‐based spatial clustering of applications with noise (DBSCAN) is aimed at realizing clustering and fusing the clustering results. This approach can help process multi‐dimensional time‐series feature operation data of wind turbines to formulate accurate and effective wind farm plans for the division of wind turbine clusters onsite. First, the XGBoost‐Blending approach is used to select the clustering indicators for dimensionality reduction. Second, a clustering method based on DBSCAN‐DTW is established to divide the clusters and perform ensemble clustering. Finally, MATLAB/Simulink is used to build a simulation model. In this manner, a three‐phase short‐circuit is introduced at the grid‐connection point of a wind farm. A case study is performed under a variety of wind speed scenarios. The results verify the accuracy and wide applicability of the equivalence model formulated using the proposed method.
Sequential analysis as a method for studying life courses: The Case of caregivers’ well-being trajectories, Tiznit Morocco
Authors: Elbouzidi Mohamed , Mahdane Mhamed 
Published: August 2021

Being a caregiver offers a sense of usefulness and satisfaction. Similarly, this caregiving function hurts all areas of the caregiver's life. In this vein, we believe that approaching this topic based on the sequential approach is of great importance.
Indeed, we will first present the life-course approach as a method for analysing longitudinal quantitative data while highlighting the different stages of sequence analysis as an appropriate analysis method. We will then discuss the importance of studying the life trajectories of caregivers as units of research in the life course approach.
The empirical demonstration of this paper originates from doctoral research in sociology on the life course of informal caregivers in the province of Tiznit in Morocco. Through this demonstration, we have crossed quantitative and qualitative analyses of life courses. This work will also show the relevance of sequence analysis and its adaptation to the life course approach of caregivers.
Sprachliche Validierung des Fibrose-Fragebogens zur Erfassung der Lebensqualität bei Patienten mit idiopathischer Lungenfibrose und idiopathischer nichtspezifischer interstitieller Pneumonie
Authors: Kirsten D. , de Vries U. , Costabel U. , Koschel D. , Bonella F. , Günther A. , Behr J. , Claussen M. , Schwarz S. , Prasse A. , Kreuter M. 
Published: August 2021

ZusammenfassungIdiopathische interstitielle Pneumonien sind mit einer deutlichen Minderung der Lebensqualität (LQ) assoziiert. Es existiert in Deutschland lediglich der Lebensqualitätsfragebogen für Patienten mit interstitiellen Lungenerkrankungen (K-BILD; 1) und eine deutsche Validierung von Kreuter et al. 2 Dieser Fragebogen ist jedoch in der präzisen Erfassung der Lebensqualität (LQ) für Fibrosepatienten eingeschränkt. Daher wurde ein Fragebogen zur Lebensqualität von Patienten mit idiopathischer Lungenfibrose und nicht-spezifischer interstitieller Pneumonie (Fibrose-Fragebogen, FFB) entwickelt und sprachlich validiert.
Methode Die linguistische Validierung des FFB erfolgte in einem mehrstufigen Prozess durch enge Zusammenarbeit der Entwickler des Fragebogens mit bilingualen, professionellen Übersetzern durch Hin- und Rückübersetzung, um eine deutsche und englische Version zu erstellen. Ein Vergleich mit dem St. Georges Respiratory Questionnaire (SGRQ) wurde durchgeführt.
Ergebnisse Es wurden eine deutsche und eine englische Version des FFB linguistisch validiert. Die Fragen umfassen 5 Skalen und 23 Items mit Aussagen zur Befindlichkeit, Beeinträchtigung und Fragen zu Symptomen wie Atemnot und Husten sowie eine visuelle Analog-Skala zum allgemeinen Gesundheitszustand.
Schlussfolgerung Die deutsche und die englische Version des FFB erlauben den klinischen und wissenschaftlichen Einsatz bei Patienten mit progressiver Lungenfibrose wie der idiopathischen Lungenfibrose (IPF) und der idiopathischen nicht-spezifischen Lungenfibrose (iNSIP), um die Lebensqualität zuverlässig bestimmen zu können. Im Verlauf der Erkrankung kann der Einsatz dieses Fragebogens hilfreich sein.
Editorial
Authors: Bengel Jürgen , Meyer Thorsten 
Published: August 2021

Liebe Leserinnen, liebe Leser,
in der letzten Ausgabe unserer Zeitschrift haben wir Ihnen eine neue Herausgeberin und zwei neue Herausgeber vorgestellt. Nun möchten wir eine weitere Veränderung bekanntgeben. Nach sieben Jahren wird sich Prof. Jürgen Bengel als federführender Herausgeber verabschieden. Die Schriftleitung geht zum 1. Oktober dieses Jahres an Prof. Thorsten Meyer über.
Comparison of endoscopic resection techniques for duodenal neuroendocrine tumors: systematic review
Authors: Brito Helcio Pedrosa , Torres Isabela Trindade , Turke Karine Corcione , Parada Artur Adolfo , Waisberg Jaques , Botelho Ricardo Vieira 
Published: August 2021

Abstract
Background and study aims Regardless of size, duodenal neuroendocrine tumors (dNETs) should be considered potentially malignant. A complete resection without complications is essential to increase safety procedures. The aim of this review was to describe effectiveness and possible complications of endoscopic techniques resection for resectioning dNETs in patients with tumors ≤ 20 mm in diameter.
Methods An electronic bibliographic search was conducted using MEDLINE (via PubMed), Embase, Cochrane Central, and Google Scholar virtual databases. The types of intervention were endoscopic mucosal resection alone (EMR) or with cap (EMR-C), with a ligation device (EMR-L), with previous elevation of the tumor (EMR-I) or with endoscopic submucosal dissection (ESD); argon plasm coagulation (APC), and polypectomy. The outcome measures adopted were presence of free margin associated with tumor resection, tumor recurrence, complications (bleeding and perforation), and length of the procedure.
Results Ten publications were included with the result of 224 dNET resections. EMR alone and polypectomy resulted in the most significantly compromised margin. The most frequent complication was bleeding (n = 21), followed by perforation (n = 8). Recurrence occurred in 13 cases, the majority of those under EMR or EMR-I.
Conclusions EMR-C or EMR-I should be preferred for resectioning of dNETs. Polypectomy should not be indicated for resection of dNETs due to the high occurrence of incomplete resections. EMR alone must be avoided due a higher frequency of compromised margin and recurrent surgery. ESD was associated with no recurrence, however, but an increased occurrence of bleeding and perforation.
Radiologisches Monitoring bei Immuntherapie des Nierenzellkarzinoms
Authors: Lennartz Simon , Persigehl Thorsten 
Published: August 2021

ZusammenfassungIn der Radiologie stellen die Response Evaluation Criteria in Solid Tumors (RECIST 1.1) die aktuell am weitesten etablierten Bewertungskriterien für das standardisierte Therapiemonitoring bei soliden Tumoren von klassischen zytostatischen und zytotoxischen Tumortherapien dar. Der zunehmende Einsatz von Immuncheckpointinhibitoren in der Therapie des metastasierten Nierenzellkarzinoms stellt das radiologische Therapiemonitoring durch das Auftreten atypischer Ansprechmuster und immuntherapiespezifischer Nebenwirkungen vor besondere Herausforderungen. Hier können angepasste Kriterien, wie beispielsweise immune RECIST (iRECIST), bei der Verlaufsbeurteilung des Nierenzellkarzinoms helfen, sowohl innerhalb als auch außerhalb klinischer Studien atypische Verläufe unter Immuncheckpointinhibitortherapie zu erfassen.