bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of nonsteroidal anti‐inflammatory drugs on ultrasound findings of mRNA COVID‐19 vaccine‐related lymphadenopathy
Authors: Akman Burcu , Kaya Ahmet Turan 
Published: November 2022

AbstractBackgroundPrevious studies reported axillary lymphadenopathy (LAP) as a side effect of the anti‐COVID‐19 vaccine. However, the effects of nonsteroidal anti‐inflammatory drug (NSAID)s on mRNA COVID‐19 vaccine‐related LAP have not been investigated.PurposeWe aimed to investigate the effects of NSAIDs on temporal changes in sonographic findings of COVID‐19 vaccine‐associated LAP.MethodsOur single‐center retrospective cohort study was conducted between October 2021 and April 2022. We included patients (aged ≥ 18 years) who applied with complaints of swelling in the ipsilateral axillary region after the COVID‐19 vaccine and had axillary region ultrasound (US) scans in electronic medical records within 30 days pre‐vaccination. The serial US was performed on the third, 10th, and 30th days post‐vaccination.ResultsOur study included 38 patients with a median age of 36 (IQR, 32–43) years. In 18 (47.4%) patients used NSAIDs in the early post‐vaccination period. Measurements of LAPs on ultrasound scans increased at day 3 post‐vaccination compared with pre‐vaccination both in NSAID users and non‐users. On the 10th day, a statistically insignificant decrease in LAP diameters and cortical thickness was observed in NSAID users compared to non‐users. On the post‐vaccination 30th day, axillary LAPs regressed similarly in both groups.ConclusionIn our study, post‐vaccine NSAID use had no statistically significant effect on the course of axillary LAPs.
Is a specific T classification needed for extrahepatic intraductal papillary neoplasm of the bile duct (IPNB) type 2 associated with invasive carcinoma?
Authors: Mitake Yasuhiro , Onoe Shunsuke , Igami Tsuyoshi , Mizuno Takashi , Yamaguchi Junpei , Sunagawa Masaki , Watanabe Nobuyuki , Kawakatsu Shoji , Shimoyama Yoshie , Ebata Tomoki 
Published: November 2022

AbstractBackgroundThe necessity of a specific T classification for extrahepatic intraductal papillary neoplasm of the bile duct (IPNB) type 2, one of the precursors of cholangiocarcinoma (CC), remains unclear.MethodsPatients who underwent resection for extrahepatic biliary tumors were reviewed. Relapse‐free survival (RFS) was compared between IPNB type 2 and CC, stratified by T classification.ResultsThe cohort involved 443 patients with IPNB type 2 (n = 57) and CC (n = 386). In 342 patients with perihilar tumors, 5‐year RFS of IPNB type 2 and CC group was 49.8% versus 34.5% (p = .012), respectively. The RFS was 54.6% versus 47.2% (p = .110) for pT1‐2 tumors and 28.6% versus 22.7% (p = .436) for pT3‐4 tumors, respectively. In 92 patients with distal tumors, 5‐year RFS was 47.4% versus 42.1% (p = .678). The RFS was 68.2% versus 49.6% (p = .422) for pT1 tumors and 18.8% versus 38.3% (p = .626) for pT2‐3 tumors, respectively. Multivariate analysis identified that poor histologic grade (HR, 2.105; p < .001), microscopic venous invasion (HR, 1.568; p = .002), and nodal metastasis (HR, 1.547; p < .001) were independent prognostic deteriorators, while tumor type (IPNB type 2 vs. CC) was not.ConclusionsPrognostic impact of IPNB type 2 was limited, suggesting unnecessity of a specific T classification for IPNB type 2 with invasive carcinoma.
Proton‐ and halogen‐induced cyclizations of 2‐(3‐butenyl)quinazolin‐4(3H)‐ones in the synthesis of pyrrolo[2,1‐b]‐ and pyrrolo[1,2‐а]quinazolinone derivatives
Authors: Vaskevych Ruslan I. , Savinchuk Nataliia O. , Vaskevych Alla I. , Rusanov Eduard B. , Bylina Denys V. , Kyrylchuk Andrii A. , Vovk Mykhailo V. 
Published: November 2022

AbstractWith the aim of finding efficient initiators for electrophilic cyclizations of 2‐(3‐butenyl)quinazolin‐4(3H)‐ones, their reactions with a number of acids (НCl, CF3COOH, H2SO4, polyphosphoric acid, CF3SO2OH) and halogenating agents (I2, Br2, NIS, NBS) have been studied. As established, CF3SO2OH can be successfully applied in the synthesis of linear 1‐methyl‐2,3‐dihydropyrrolo[2,1‐b]quinazolin‐9(1H)‐ones while the use of I2, NIS, or NBS readily leads to angular 1‐(halomethyl)‐2,3‐dihydropyrrolo[1,2‐a]quinazolin‐5(1H)‐ones.
Late Quaternary carbonate microbialite complex on the west shore of Great Salt Lake, Utah, USA
Authors: Pedone Vicki A. , Oviatt Charles G. , McGee David 
Published: November 2022

ABSTRACTA Late Pleistocene carbonate microbialite complex at Death Point on the western shore of Great Salt Lake, UT, USA, coats Paleozoic bedrock over an area 70 × 40 m. The complex largely formed while Lake Bonneville flooded the basin. Three distinct stratigraphic units separated by minor unconformities have been identified. The oldest unit (Unit 1) occurs over the entire outcrop area and ranges from 10 cm to 2.5 m in thickness. It precipitated as aragonite in the wave‐agitated shoreline environment during the early transgressive phase of Lake Bonneville and was subsequently pervasively dolomitized. Some near‐vertical faces of Unit 1 are overlain by an 8‐cm‐thick calcite microbialite (Unit 2) precipitated in deeper water of the regressive phase of Lake Bonneville. The youngest microbialite unit (Unit 3) overlies the calcite layer and precipitated as aragonite when the lake had dropped to levels similar to those of modern Great Salt Lake. The elevation, stratigraphy, distinct mineralogical layers, diagenetic history and long depositional span distinguish the Death Point microbialite complex from other microbialites in the Lake Bonneville/Great Salt Lake lacustrine system. The geochronology of Death Point microbialite will lead to modifications of the Lake Bonneville hydrograph, showing significantly lower lake levels in the early‐transgression stage.
Deep‐learning‐based automatic evaluation of rice seed germination rate
Authors: Zhao Jinfeng , Ma Yan , Yong Kaicheng , Zhu Min , Wang Yueqi , Luo Zhaowei , Wei Xin , Huang Xuehui 
Published: November 2022

AbstractBACKGROUNDRice is an important food crop plant in the world and is also a model plant for genetics and breeding research. The germination rate is an important indicator that measures the performance of rice seeds. Currently, solutions involving image processing techniques have substantial challenges in the identification of seed germination. The detection of rice seed germination without human intervention involves challenges because the rice seeds are small and densely distributed.RESULTSIn this article, we develop a convolutional neural network (YOLO‐r) that can detect the germination status of rice seeds and automatically evaluate the total number of germinations. Image partition, the Transformer encoder, a small target detection layer, and CDIoU loss are exploited in YOLO‐r to improve the detection accuracy. A total of 21 429 seeds were collected, which have different phenotypic characteristics in length, shape, and color. The results show that the mean average precision of YOLO‐r is 0.9539, which is higher than the compared models. Moreover, the average detection time per image of YOLO‐r was 0.011 s, which meets the real‐time requirements. The experimental results demonstrate that YOLO‐r is robust to complex situations such as water stains, impurities, awns, adhesion, and so on. The results also show that the mean absolute error of the predicted germination rate mainly exists within 0.1.CONCLUSIONSNumerous experimental studies have demonstrated that YOLO‐r can predict rice germination rate in a fast, easy, and accurate manner. © 2022 Society of Chemical Industry.
Rapid screening based on machine learning and molecular docking of umami peptides from porcine bone
Authors: Liu Qing , Gao Xinchang , Pan Daodong , Liu Zhu , Xiao Chaogeng , Du Lihui , Cai Zhendong , Lu Wenjing , Dang Yali , Zou Ying 
Published: November 2022

AbstractBACKGROUNDThe traditional screening method for umami peptide, extracted from porcine bone, was labor‐intensive and time‐consuming. In this study, the rapid screening method and molecular mechanism of umami peptide was investigated.RESULTSThis article showed that a more precisely rapid screening method with composite machine learning and molecular docking was used to screen the potential umami peptide from porcine bone. As reference, 24 reported umami peptides were predicated by composite machine learning, with the accuracy of 86.7%. In this study, potential umami peptide sequences from porcine bone were screened by UMPred‐FRL, Umami‐MRNN Demo, and molecular docking was used to provide further screening. Finally, nine peptides were screened and verified as umami peptides by this method: LREY, HEAL, LAKVH, FQKVVA, HVKELE, AEVKKAP, EAVEKPQS, KALSEEL and KKMFETES. The hydrogen bonding was deemed to be the main interaction force with receptor T1R3, and domain binding sites were Ser146, His121 and Glu277. The result demonstrated the feasibility of machine learning assisted T1R1/T1R3 receptor for rapid screening umami peptides. The screening method would not only adapt to screen umami peptides from porcine bone but possibly applied for other sources. It also provided a reference for rapid screening of umami peptides.CONCLUSIONThe manuscript lays a rapid screening method in screening umami peptide, and nine umami peptides from porcine bone were screened and identified. © 2022 Society of Chemical Industry.
A review of metamaterial absorbers and their application in sensors and radar cross‐section reduction
Authors: Garg Priyanka , Jain Priyanka 
Published: November 2022

AbstractIn the past few decades, metamaterial absorbers (MA) have become an important area of research due to their potential application as ultrathin perfect absorbers. There are various approaches proposed in the literature to obtain multiband and broadband absorption characteristics. This paper presents all the different approaches followed by different authors along with their respective drawbacks and advantages. Metamaterial absorbers have numerous applications in today's technological advancement. This paper presents the review of literature on previously proposed MA applied for radar cross‐section reduction and used as sensors in several applications. The aim is to help the user choose a suitable approach for particular specifications and also develop new devices in the future.
Association between urethral funneling in stress urinary incontinence and the biological properties of the urethral rhabdosphincter muscle based on shear wave elastography
Authors: Wang Liang , Liu Yun , Wang Xiaona , Shi Guoqiang , Huang Jun , Xiao Xue , Xie Ying 
Published: November 2022

AbstractObjectivesTo apply shear wave elastography (SWE) combined with transperineal ultrasonography (TPUS) to study the association between urethral funneling in stress urinary incontinence (SUI) and the biological properties of the urethral rhabdosphincter muscle in women.MethodsThis single‐center retrospective study included 166 women with SUI (SUI group) and 185 women who underwent a routine physical examination (control group). The control group and SUI group were divided into nonfunneling and funneling groups according to the presence or absence of urethral funneling, respectively, and their ultrasound findings were compared to analyze the association between funneling and ultrasound measurements.ResultsThe SUI group had a lower mean E than the control group (15.54 vs. 20.82 kPa, p < 0.001). The SUI‐funneling group had a lower mean E than the SUI‐nonfunneling group (15.50 vs. 17.21 kPa, p < 0.001). The area under the (AUC) receiver operating characteristic (ROC) curve of the mean E for predicting SUI was 0.864, with a cutoff value of 19.19 kPa. The AUC of the mean E for predicting urethral funneling was 0.832, with a cutoff value of 17.15 kPa. The stiffness of the urethral rhabdosphincter was an independent factor related to SUI and urethral funneling in SUI.ConclusionsSWE can be used to assess the biological properties of the urethral rhabdosphincter, and reduced stiffness of the rhabdosphincter was significantly correlated with SUI and funneling in SUI. Thus, women with urethral funneling in SUI may have a weak urethral rhabdosphincter.
Peripheral venous catheter‐related phlebitis: A meta‐analysis of topical treatment
Authors: Garcia‐Expósito Judith , Sánchez‐Meca Julio , Almenta‐Saavedra José Alberto , Llubes‐Arrià Laia , Torné‐Ruiz Alba , Roca Judith 
Published: November 2022

AbstractAimTo systematically evaluate the efficacy of different topical treatments for PVC‐related phlebitis in hospital in‐patients.DesignA systematic review and meta‐analysis.MethodsA selection was made of experimental and quasi‐experimental studies published in English or Spanish. These should provide data on the degree of phlebitis, pain and infiltration (means and standard deviations, mainly) of hospitalized patients with phlebitis secondary to peripheral venous catheter. All those studies that reflected systemic or exclusive prevention treatments were excluded. Searches were from inception to April 2020. The date of data collection was from December 2020 to May 2021. The selection criteria were based on the PICOS model. Risk of bias was assessed using the Cochrane Collaboration tool.ResultsTwelve studies (726 patients) met the inclusion criteria. With respect to the decrease in the degree of phlebitis, was found ichthammol glycerine, followed by heparinoids. As for degree of pain, sesame oil obtained the most marked reduction. In terms of degree of infiltration, heparinoids and ichthammol glycerine were the only products to achieve a statistically significant reduction. The most important limitations are the low quantity and quality of the trials included. Insufficient data are available to draw valid conclusions about the efficacy of any treatment.
Children's rates of BMI change during pre‐pandemic and two COVID‐19 pandemic periods, IQVIA Ambulatory Electronic Medical Record, January 2018 Through November 2021
Authors: Pierce Samantha Lange , Kompaniyets Lyudmyla , Freedman David S. , Goodman Alyson B. , Blanck Heidi M. 
Published: November 2022

AbstractObjectiveMany US youth experienced accelerated weight gain during the early COVID‐19 pandemic. Using an ambulatory electronic health record data set, the authors compared children's rates of BMI change in three periods: pre‐pandemic (January 2018‐February 2020), early pandemic (March‐December 2020), and later pandemic (January‐November 2021).MethodsThis study used mixed‐effects models to examine differences in rates of change in BMI, weight, and obesity prevalence among the three periods. Covariates included time as a continuous variable, a variable indicating in which period each BMI was taken, sex, age, and initial BMI category.ResultsIn a longitudinal cohort of 241,600 children aged 2 through 19 years with ≥4 BMI measurements, the monthly rates of BMI change (kilograms per meters squared) were 0.056 (95% CI: 0.056‐0.057) in the pre‐pandemic period, 0.104 (95% CI: 0.102‐0.106) in the early pandemic, and 0.035 (95% CI: 0.033‐0.036) in the later pandemic. The estimated prevalence of obesity in this cohort was 22.5% by November 2021.ConclusionsIn this large, geographically diverse cohort of US youth, accelerated rates of BMI change observed during 2020 were largely attenuated in 2021. Positive rates indicate continued weight gain rather than loss, albeit at a slower rate. Childhood obesity prevalence remained high, which raises concern about long‐term consequences of excess weight and underscores the importance of healthy lifestyle interventions.
The significance of mixed states in mania and depression: From the psychopathological viewpoint of Tadao Miyamoto
Authors: Kobayashi Toshiyuki 
Published: November 2022

AbstractThis article introduces the concept proposed by the eminent second‐generation Japanese psychopathologist Tadao Miyamoto in 1992 that the manic‐depressive mixed state is the basic psychopathology of manic‐depressive illness. When Kraepelin first established the dichotomy between schizophrenia and manic‐depressive illness, mania and depression were placed in a symmetrical relationship. Now, in Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM‐5), manic‐depressive illness is divided into two distinct categories: bipolar and related disorders, and depressive disorders. Miyamoto pointed out that even in the average depressed state there is a manic‐depressive mixed state and listed the following findings. The depressed mood of depression is itself a major fluctuation, but is constantly subject to more or less subtle fluctuations or swaying. What occurs in association with the incessant fluctuations of mood dysphoria are restlessness, agitation, irritability, and excitement, which manifest in a unique way in combination with a depressive mood. In depressive delusions, ideations of belittlement are developed in an exaggerated manner. Miyamoto concluded that mixed states are not incidental or accessory to manic‐depressive illness; on the contrary, they may form a core component of manic‐depressive illness.
Mediating effects of care burden and sense of coherence between patients' disabilities and siblings' emotions in psychotic disorders
Authors: Shiraishi Nao , Yatsu Hiroko , Ogawa Haruka , Akechi Tatsuo 
Published: November 2022

AbstractAimCare burden and sense of coherence (SOC) can facilitate an understanding of how family members interpret their caregiving experiences regarding a relative with psychosis. In informal caregiving, understanding siblings' experiences in this regard is necessary to mitigate negative emotions and strengthen positive ones. This study investigated whether care burden and SOC mediate the relationship between the disabilities of patients with psychosis and their siblings' emotions.MethodsA nationwide online survey was used to screen and recruit adult siblings of patients with psychotic disorders. The patients' disabilities in their work lives, socializing, and family communication, the siblings' care burden and SOC, and the siblings' positive and negative emotions were assessed. Structural equation modeling (SEM) was employed to test the path model that illustrated the mediating effects of care burden and SOC on patients' disabilities and siblings' emotions.ResultsThe sample included 237 siblings aged 42.3 years (mean) with a male‐to‐female ratio of 0.88 and 237 patients with schizophrenia (80.2%) or schizoaffective disorder (19.8%). In the SEM analyses, care burden connected each of the three disabilities with the two types of emotions through the pathways in which care burden positively predicted both negative and positive emotions. Additionally, SOC functioned as a mediator between disability in family communication and both types of emotions.ConclusionSiblings' negative emotions should be alleviated through interventions aimed at suppressing the care burden and enhancing SOC to address disabilities in patients' socializing and family communication. Nevertheless, care burden might contribute to their positive emotions.
Dealing with missing values in proteomics data
Authors: Kong Weijia , Hui Harvard Wai Hann , Peng Hui , Goh Wilson Wen Bin 
Published: November 2022

AbstractProteomics data are often plagued with missingness issues. These missing values (MVs) threaten the integrity of subsequent statistical analyses by reduction of statistical power, introduction of bias, and failure to represent the true sample. Over the years, several categories of missing value imputation (MVI) methods have been developed and adapted for proteomics data. These MVI methods perform their tasks based on different prior assumptions (e.g., data is normally or independently distributed) and operating principles (e.g., the algorithm is built to address random missingness only), resulting in varying levels of performance even when dealing with the same dataset. Thus, to achieve a satisfactory outcome, a suitable MVI method must be selected. To guide decision making on suitable MVI method, we provide a decision chart which facilitates strategic considerations on datasets presenting different characteristics. We also bring attention to other issues that can impact proper MVI such as the presence of confounders (e.g., batch effects) which can influence MVI performance. Thus, these too, should be considered during or before MVI.
Secondary structure and stability of a gel‐forming tardigrade desiccation‐tolerance protein
Authors: Eicher Jonathan E. , Brom Julia A. , Wang Shikun , Sheiko Sergei S. , Atkin Joanna M. , Pielak Gary J. 
Published: November 2022

AbstractProtein‐based pharmaceuticals are increasingly important, but their inherent instability necessitates a “cold chain” requiring costly refrigeration during production, shipment, and storage. Drying can overcome this problem, but most proteins need the addition of stabilizers, and some cannot be successfully formulated. Thus, there is a need for new, more effective protective molecules. Cytosolically, abundant heat‐soluble proteins from tardigrades are both fundamentally interesting and a promising source of inspiration; these disordered, monodisperse polymers form hydrogels whose structure may protect client proteins during drying. We used attenuated total reflectance Fourier transform infrared spectroscopy, differential scanning calorimetry, and small‐amplitude oscillatory shear rheometry to characterize gelation. A 5% (wt/vol) gel has a strength comparable with human skin, and melts cooperatively and reversibly near body temperature with an enthalpy comparable with globular proteins. We suggest that the dilute protein forms α‐helical coiled coils and increasing their concentration drives gelation via intermolecular β‐sheet formation.
Open‐circuit voltage loss and dielectric constants as new descriptors in machine learning study on organic photovoltaics
Authors: Yang Bing , Zhang Cai‐Rong , Wang Yu , Zhao Miao , Yu Hai‐Yuan , Liu Zi‐Jiang , Liu Xiao‐Meng , Chen Yu‐Hong , Wu You‐Zhi , Chen Hong‐Shan 
Published: November 2022

AbstractMolecular descriptors are critical for determining the accuracy of machine learning (ML) study on organic photovoltaics (OPV). To unravel the complex relationship between molecular properties and device performance, on the basis of 510 donor‐acceptor pairs in OPV active layer, the open‐circuit voltage loss (VOC‐loss), dielectric constants of donor and acceptor (ε‐D and ε‐A) were firstly implemented into property descriptor set that includes 41 quantities totally. Then, the five ML algorithms were applied to compare the property descriptor sets with and without VOC‐loss, ε‐D and ε‐A (coded as new and old sets) in the prediction of photovoltaic parameters. The ML results of Pearson's correlation coefficient and the slope of regression lines indicate the performances of new molecular descriptor set are prevailing to that of old set. Furthermore, the Gini important analysis indicates that the ε‐D, ε‐A and VOC‐loss are very important parameters for determining device performance. Higher dielectric constants and lower VOC‐loss will be more beneficial to the performance of OPV devices.
Global adaptive prescribed‐time stabilization for high‐order nonlinear systems
Authors: Hua Changchun , Li Hao , Li Kuo 
Published: November 2022

AbstractIn this article, the global adaptive prescribed‐time stabilization problem of high‐order (‐normal form) nonlinear systems with parametric uncertainties is studied. Compared with the existing results on time‐optimal control, our control algorithm eliminates the residual term caused by unknown parameters for the first time. By introducing the new Lyapunov‐like function and time‐varying function, a prescribed‐time controller with adaptive law is constructed, which ensures that the system state variables converge to the origin rather than a residual term, and the setting time can be arbitrarily specified. Moreover, with the help of the state transformations and the power integrator technique, the difficulties of system structure caused by the high power are overcome. Then, based on the differential equations, it is proved that the boundedness of all system signals. Finally, an example of underdrive system simulation is presented to verify the availabilities of the developed control algorithm.