bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of synchronization of multiple identical metronomes on a cart via describing function approach
Authors: Xin Xin , Liu Yannian , Hara Shinji , Muraoka Yoshinori 
Published: December 2021

AbstractBased on the describing function (DF) approach, we study how to obtain analytically the synchronization ofnidentical metronomes on a cart in this paper. To start with, by using the fact that the torque of each metronome is a discontinuous function of its angle and angular velocity, we obtain the formulae of its DF. Next, we present a unified DF solution of the two types of synchronization for which the amplitude of the first harmonic of the angle of each metronome is identical. One type is called the out‐of‐phase synchronization for which all metronomes do not have an identical phase, and the other type is called the in‐phase synchronization for which all metronomes have an identical phase. We reveal some properties of these two types of synchronization. We validate thefilter hypothesisand show that it is indeed critical for guaranteeing the success of using the DF approach to analyze the synchronization modes of the metronomes on a cart. Finally, we report in detail our numerical simulations for two and three identical metronomes using the physical parameters of the metronomes in the literature to validate the obtained analytical results and show certain robustness regarding small parameter differences of the synchronization prediction.
Features that best define the heterogeneity and homogeneity of autism in preschool‐age children: A multisite case–control analysis replicated across two independent samples
Authors: Wiggins Lisa D. , Tian Lin H. , Rubenstein Eric , Schieve Laura , Daniels Julie , Pazol Karen , DiGuiseppi Carolyn , Barger Brian , Moody Eric , Rosenberg Steven , Bradley Chyrise , Hsu Melanie , Robinson Rosenberg Cordelia , Christensen Deborah , Crume Tessa , Pandey Juhi , Levy Susan E. 
Published: December 2021

AbstractThe heterogeneous nature of children with symptoms of autism spectrum disorder (ASD) makes it difficult to identify risk factors and effective treatment options. We sought to identify behavioral and developmental features that best define the heterogeneity and homogeneity in 2–5‐year‐old children classified with ASD and subthreshold ASD characteristics. Children were enrolled in a multisite case–control study of ASD. Detailed behavioral and developmental data were gathered by maternal telephone interview, parent‐administered questionnaires, child cognitive evaluation, and ASD diagnostic measures. Participants with a positive ASD screen score or prior ASD diagnosis were referred for comprehensive evaluation. Children in the ASD group met study criteria based on this evaluation; children who did not meet study criteria were categorized as having subthreshold ASD characteristics. There were 1480 children classified as ASD (81.6% boys) and 594 children classified as having subthreshold ASD characteristics (70.2% boys) in the sample. Factors associated with dysregulation (e.g., aggression, anxiety/depression, sleep problems) followed by developmental abilities (e.g., expressive and receptive language skills) most contributed to heterogeneity in both groups of children. Atypical sensory response contributed to homogeneity in children classified as ASD but not those with subthreshold characteristics. These findings suggest that dysregulation and developmental abilities are clinical features that can impact functioning in children with ASD and other DD, and that documenting these features in pediatric records may help meet the needs of the individual child. Sensory dysfunction could be considered a core feature of ASD and thus used to inform more targeted screening, evaluation, treatment, and research efforts.Lay summaryThe diverse nature of autism spectrum disorder (ASD) makes it difficult to find risk factors and treatment options. We identified the most dissimilar and most similar symptom(s) in children classified as ASD and as having subthreshold ASD characteristics. Factors associated with dysregulation and developmental abilities contributed to diversity in both groups of children. Sensory dysfunction was the most common symptom in children with ASD but not those with subthreshold characteristics. Findings can inform clinical practice and research.
Enhancement of triterpene production via in situ extractive fermentation of Sanghuangporus vaninii YC‐1
Authors: Xia Yongjun , Yang Caiyun , Liu Xiaofeng , Wang Guangqiang , Xiong Zhiqiang , Song Xin , Yang Yijin , Zhang Hui , Ai Lianzhong 
Published: December 2021

AbstractThere have been many studies on the activities and polysaccharide production of Sanghuangporus vaninii. However, few studies have looked at triterpene production from S. vaninii using liquid‐state fermentation. A method for enhancing the production of triterpenes by in situ extractive fermentation (ISEF) was studied. Eight solvents were investigated as extractants for triterpene production in the ISEF system. The results showed that using vegetable oil as an extractant significantly increased the yield of total triterpenes and biomass of S. vaninii YC‐1, reaching 18.98 ± 0.71 and 44.67 ± 2.21 g/L, respectively. In 5 L fermenter experiments, the added vegetable oil improved the dissolved oxygen condition of the fermentation broth and promoted the growth of S. vaninii YC‐1. Furthermore, adding vegetable oil increased the expression of fatty acid synthesis‐related genes such as FAD2 and SCD, thereby increasing the synthesis of unsaturated fatty acids in the cell membrane of S. vaninii YC‐1. Therefore, the cell membrane permeability of S. vaninii YC‐1 increased by 19%. Our results indicated that vegetable oil increased the permeability of S. vaninii YC‐1 cell membranes to promote the production of total triterpenes. The use of vegetable oil as an extractant was thus effective in increasing the yield of triterpenes in the ISEF system.
Investigation of the risk factors of anorectal malformations
Authors: Wu Fang , Wang Zhili , Bi Yang , Guo Zhenhua , Wang Yi 
Published: December 2021

AbstractPurposeTo investigate the factors that influence the occurrence of anorectal malformations (ARMs).MethodsFrom December 2018 to December 2019, 136 children treated for ARMs at the Children's Hospital of Chongqing Medical University were included in the case group. The control group consisted of children with intussusception or perianal abscesses. A uniform questionnaire was filled by the parents of the enrolled children.ResultsThe birth weight of the cases was significantly lower than that of the controls (p < .01), and children with ARMs were more likely to be complicated with single umbilical artery (SUA) (p < .001). Maternal upper respiratory tract infection (adjusted odds ratio [ORadj], 2.44; 95% confidence interval [CI], 1.29–4.63) and urogenital infection (ORadj, 2.67; 95% CI 1.11–6.38) during the first trimester of pregnancy, anemia during pregnancy (ORadj, 5.69; 95% CI, 1.01–32.07), and exposure to hazardous substances 6 months before pregnancy and during the first trimester of pregnancy (ORadj, 13.82; 95% CI, 3.86–49.35) are associated with increased risk of ARMs. Folic acid supplements (ORadj, 0.31; 95% CI, 0.14–0.65) and multivitamin (ORadj, 0.34; 95% CI, 0.15–0.79) had a protective effect on ARMs. Paternal drug use (ORadj, 9.17; 95% CI, 2.19–38.49) 6 months before their wives' conception increased the risk of ARMs.ConclusionMaternal infection, anemia during pregnancy, and maternal hazardous substances exposure are possible risk factors for ARMs. Folic acid supplements and multivitamin can reduce the occurrence of ARMs. Meanwhile, paternal drug use may also be a risk factor for ARMs.
Restricted survival benefit with right‐censored data
Authors: Zhang Shixiao , LeBlanc Michael L. , Zhao Ying‐Qi 
Published: December 2021

AbstractThe hazard ratio is widely used to quantify treatment effects. However, it may be difficult to interpret for patients and practitioners, especially when the hazard ratio is not constant over time. Alternative measures of the treatment effects have been proposed such as the difference of the restricted mean survival times, the difference in survival proportions at some fixed follow‐up time, or the net chance of a longer survival. In this paper, we propose the restricted survival benefit (RSB), a quantity that can incorporate multiple useful measurements of treatment effects. Hence, it provides a framework for a comprehensive assessment of the treatment effects. We provide estimation and inference procedures for the RSB that accommodate censored survival outcomes, using methods of the inverse‐probability‐censoring‐weighted ‐statistic and the jackknife empirical likelihood. We conduct extensive simulation studies to examine the numerical performance of the proposed method, and we analyze data from a randomized Phase III clinical trial (SWOG S0777) using the proposed method.
A resource‐based view of green innovation as a strategic firm resource: Present status and future directions
Authors: Khanra Sayantan , Kaur Puneet , Joseph Rojers P , Malik Ashish , Dhir Amandeep 
Published: December 2021

AbstractGreen innovation could become a valuable firm resource for establishing competitive advantage while simultaneously contributing towards sustainable development; in other words, green innovation has the potential to address the dilemma between consuming available resources and preserving them for the future. However, there is a dearth of studies systematically examining the present structure and future scope of research on green innovation as a firm resource. Seeking to explain the sustainable development dilemma of green innovations through the theoretical perspective of the resource‐based view of the firm, we address this gap with a comprehensive bibliometric analysis of 951 relevant articles. The key contributors to the extant literature are recognised with bibliographic coupling, citation analysis and co‐authorship analysis. A co‐citation analysis identifies four major thematic areas of research: green supply chain management, green product design, corporate environmental responsibilities and social sustainability. Further, a dynamic co‐citation analysis tracks the progression of these thematic areas. Content analysis of the thematic areas provides insights into the status of the research domain. This study also contributes to the extant literature by identifying prestigious articles on green innovation as a firm resource, analysing the co‐occurrence of keywords and suggesting future research agendas.
New perspective to guide rice breeding: Evaluating the eating quality of japonica rice
Authors: Li Sixuan , Ren Xin , Zhang Min , Asimi Sailimuhan , Lv Qixin , Wang Zhenhua , Liang Shan , Wang Ziyuan , Meng Lingqi 
Published: December 2021

AbstractBackground and objectivesEating quality is an important quality index of rice, which also determines production and sales. However, previous rice breeding mainly took yield as the gold index, and almost no comprehensive consideration of its eating quality. In this study, to further select new high‐quality japonica rice variety, the eating quality differences in the physicochemical, texture, pasting properties, and volatile compounds between five newly bred varieties (JR5, JR6, JR8, JR9, and JR10) and one commercial variety (Kenyu38) were analyzed.FindingsCorrelation analysis results indicated that the taste value was negatively correlated with protein (r = −.953, p < .01), amylose content (r = −.915, p < .05), and setback value (r = −.902, p < .05). JR5 had a better appearance and taste quality with significantly lower protein content, amylose content, pasting temperature, and setback value. Moreover, the electronic nose could clearly distinguish JR5 from other rice samples. Aroma analysis showed that JR5 had the significantly higher content of 1‐octene‐3‐ol and hexanal, which were important odor‐active volatile compound in cooked rice.ConclusionsJR5 had better eating quality than Kenyu38 and could be used as an excellent variety for further popularization.Significance and noveltyThis study provides a new perspective for the selection of high‐quality rice varieties.
Enhanced Electrochemical and Structural Stability of Ni‐rich Cathode Material by Lithium Metaborate Coating for Lithium‐Ion Batteries
Authors: Zhao Zaowen , Zhang Bao , Cheng Lei , Liu Zihang , Liu Yun , Su Shilin , Ming Lei , Zhang Jiafeng , Ou Xing 
Published: December 2021

AbstractA facile mechanical mixing‐calcination method was employed to coat lithium metaborate onto LiNi0.88Co0.06Mn0.03Al0.03O2 cathode. Physical characterizations revealed that the coating layer was uniformly spread on the surface of the material particles, and did not alter the structure and morphology. Electrochemical measurements indicated that the surface‐modified cathode showed significantly improved cycling stability, both under room‐temperature and high‐temperature (50 °C). The coated sample delivered an initial discharge capacity of 211.0 mAh g−1 at 0.1 C, and a capacity retention of 87.5 % after 300 cycles at 1 C rate under room‐temperature. Meanwhile, it could maintain 97.2 % of initial capacity after 120 cycles at 1 C under 50 °C, which was much higher than the value of the pristine sample (only 37.2 %). The lithium‐ion diffusion kinetics was analyzed by electrochemical impedance spectroscopy. The coated material exhibits lower surface resistance and charge‐transfer resistance, as well as faster lithium‐ion diffusion than the pristine one. The materials were also characterized after cycling. The surface‐modified sample possessed more stable surficial and structural stability.
Energy efficient resource controller for Apache Storm
Authors: HoseinyFarahabady MohammadReza , Taheri Javid , Zomaya Albert Y. , Tari Zahir 
Published: December 2021

SummaryApache Storm is a distributed processing engine that can reliably process unbounded streams of data for real‐time applications. While recent research activities mostly focused on devising a resource allocation and task scheduling algorithm to satisfy high performance or low latency requirements of Storm applications across a distributed and multi‐core system, finding a solution that can optimize the energy consumption of running applications remains an important research question to be further explored. In this article, we present a controlling strategy for CPU throttling that continuously optimize the level of consumed energy of a Storm platform by adjusting the voltage and frequency of the CPU cores while running the assigned tasks under latency constraints defined by the end‐users. The experimental results running over a Storm cluster with 4 physical nodes (total 24 cores) validates the effectiveness of proposed solution when running multiple compute‐intensive operations. In particular, the proposed controller can keep the latency of analytic tasks, in terms of 99th latency percentile, within the quality of service requirement specified by the end‐user while reducing the total energy consumption by 18% on average across the entire Storm platform.
The Extended Hadamard Transform: Sensitivity‐Enhanced NMR Experiments Among Labile and Non‐Labile 1Hs of SARS‐CoV‐2‐derived RNAs
Authors: Kim Jihyun , Novakovic Mihajlo , Jayanthi Sundaresan , Lupulescu Adonis , Kupče Ēriks , Grün J. Tassilo , Mertinkus Klara , Oxenfarth Andreas , Schwalbe Harald , Frydman Lucio 
Published: December 2021

AbstractHadamard encoded saturation transfer can significantly improve the efficiency of NOE‐based NMR correlations from labile protons in proteins, glycans and RNAs, increasing the sensitivity of cross‐peaks by an order of magnitude and shortening experimental times by ≥100‐fold. These schemes, however, fail when tackling correlations within a pool of labile protons – for instance imino‐imino correlations in RNAs or amide‐amide correlations in proteins. Here we analyze the origin of the artifacts appearing in these experiments and propose a way to obtain artifact‐free correlations both within the labile pool as well as between labile and non‐labile 1Hs, while still enjoying the gains arising from Hadamard encoding and solvent repolarizations. The principles required for implementing what we define as the extended Hadamard scheme are derived, and its clean, artifact‐free, sensitivity‐enhancing performance is demonstrated on RNA fragments derived from the SARS‐CoV‐2 genome. Sensitivity gains per unit time approaching an order of magnitude are then achieved in both imino‐imino and imino‐amino/aromatic protons 2D correlations; similar artifact‐free sensitivity gains can be observed when carrying out extended Hadamard encodings of 3D NOESY/HSQC‐type experiments. The resulting spectra reveal significantly more correlations than their conventionally acquired counterparts, which can support the spectral assignment and secondary structure determination of structured RNA elements.
Comparison of oral human papilloma virus detection methods among Hispanic adults
Authors: Castañeda‐Avila Maira A. , Pérez Cynthia M. , Vivaldi‐Oliver José A. , Díaz‐Toro Elba C. , Ortiz Ana Patricia 
Published: December 2021

AbstractObjectivesOral human papilloma virus (HPV) infection is associated with nearly three‐quarters of all oropharyngeal cancers in the United States. Research also suggests its association with periodontal disease. There are limited studies evaluating differences in HPV detection methods; however, oral rinse is considered the most sensitive detection method. We compared HPV detection by self‐collected oral rinse versus self‐collected cytobrush and assessed whether the strength of association between periodontitis and HPV is modified by the collection method.Materials and MethodsData from a cross‐sectional study of Hispanic adults in Puerto Rico (n = 346) who provided oral rinse and cytobrush samples for oral HPV detection and were clinically evaluated for periodontitis. The agreement between the oral mouthwash and cytobrush methods was assessed using the Kappa (κ) statistic. Logistic regression models were used to determine if the association between HPV infection and other risk factors varied by oral sample collection method.ResultsHPV prevalence was slightly higher using cytobrush than oral rinse (5.8% vs. 4.3%). The sensitivity of cytobrush to detect oral HPV was 64.7%, and the specificity was 97.4%. We observed a κ of 0.61 (95% confidence interval [CI]: 0.45–0.78), indicative of fair to good agreement between the two collection methods. The association between oral HPV infection and periodontitis severity was stronger when using the oral rinse collection method (odds ratio [OR] = 3.23, 95% CI: 1.06–9.84); the association was not statistically significant for cytobrush (OR = 1.96, 95% CI: 0.68–5.65).ConclusionsThese findings support the significance of choosing the most suitable collection method in oral HPV‐related studies. Selecting the most appropriate collection method is an essential criterion in oral HPV‐related studies.
A hierarchical key management and authentication method for wireless sensor networks
Authors: Alimoradi Pourya , Barati Ali , Barati Hamid 
Published: December 2021

SummaryIn wireless sensor networks, sensor nodes are typically distributed in harsh environments for continuous monitoring and data collection. All sensor nodes send the collected data directly or through other sensor nodes to the base station. Due to the nature and range of applications of these networks, maintaining security has always been one of the most critical challenges in wireless sensor networks. Key management is one of the methods used to maintain security in wireless sensor networks. In this paper, a hierarchical key management method for wireless sensor networks is presented. In the proposed method, first, the network is zoned, then the connection between the network nodes is established through two keys within the zone and between zones. The zone key is the shared key between the zone members and the zone manager. For intra‐zone communication, a lightweight authentication operation is performed between zone members and the zone manager. If the authentication operation is successful, the key generation process is performed within the zone. The inter‐zone key is shared between both of the manager nodes and is used for inter‐zone communication. The performance of the proposed method is compared with the Zhang et al. (2016); the EDAK (Athmani et al., 2019), DKMS (Yousefpoor & Barati, 2020), SSEKMS (Kumar et al., 2021), and ADPK (Ahlawat & Dave, 2021) methods show the proposed method's better performance.
Predicting disease progression in behavioral variant frontotemporal dementia
Authors: Anderl‐Straub Sarah , Lausser Ludwig , Lombardi Jolina , Uttner Ingo , Fassbender Klaus , Fliessbach Klaus , Huppertz Hans‐Jürgen , Jahn Holger , Kornhuber Johannes , Obrig Hellmuth , Schneider Anja , Semler Elisa , Synofzik Matthis , Danek Adrian , Prudlo Johannes , Kassubek Jan , Landwehrmeyer Bernhard , Lauer Martin , Volk Alexander E. , Wiltfang Jens , Diehl‐Schmid Janine , Ludolph Albert C. , Schroeter Matthias L. , Kestler Hans A. , Otto Markus ,   FTLD consortium
Published: December 2021

AbstractIntroductionThe behavioral variant of frontotemporal dementia (bvFTD) is a rare neurodegenerative disease. Reliable predictors of disease progression have not been sufficiently identified. We investigated multivariate magnetic resonance imaging (MRI) biomarker profiles for their predictive value of individual decline.MethodsOne hundred five bvFTD patients were recruited from the German frontotemporal lobar degeneration (FTLD) consortium study. After defining two groups (“fast progressors” vs. “slow progressors”), we investigated the predictive value of MR brain volumes for disease progression rates performing exhaustive screenings with multivariate classification models.ResultsWe identified areas that predict disease progression rate within 1 year. Prediction measures revealed an overall accuracy of 80% across our 50 top classification models. Especially the pallidum, middle temporal gyrus, inferior frontal gyrus, cingulate gyrus, middle orbitofrontal gyrus, and insula occurred in these models.DiscussionBased on the revealed marker combinations an individual prognosis seems to be feasible. This might be used in clinical studies on an individualized progression model.
Deep learning improves utility of tau PET in the study of Alzheimer's disease
Authors: Zou James , Park David , Johnson Aubrey , Feng Xinyang , Pardo Michelle , France Jeanelle , Tomljanovic Zeljko , Brickman Adam M. , Devanand Devangere P. , Luchsinger José A. , Kreisl William C. , Provenzano Frank A. ,   for the Alzheimer's Disease Neuroimaging Initiative
Published: December 2021

AbstractIntroductionPositron emission tomography (PET) imaging targeting neurofibrillary tau tangles is increasingly used in the study of Alzheimer's disease (AD), but its utility may be limited by conventional quantitative or qualitative evaluation techniques in earlier disease states. Convolutional neural networks (CNNs) are effective in learning spatial patterns for image classification.Methods18F‐MK6240 (n = 320) and AV‐1451 (n = 446) PET images were pooled from multiple studies. We performed iterations with differing permutations of radioligands, heuristics, and architectures. Performance was compared to a standard region of interest (ROI)‐based approach on prediction of memory impairment. We visualized attention of the network to illustrate decision making.ResultsOverall, models had high accuracy (> 80%) with good average sensitivity and specificity (75% and 82%, respectively), and had comparable or higher accuracy to the ROI standard. Visualizations of model attention highlight known characteristics of tau radioligand binding.DiscussionCNNs could improve tau PET's role in early disease and extend the utility of tau PET across generations of radioligands.