bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stabilization of a heat equation with an integral type boundary condition
Authors: Li Xiaoyun , Liu Xinglan , Zhou Zhongcheng 
Published: July 2021

Abstract
This paper considers the stabilization of a heat equation with an integral type nonlocal boundary condition. Via choosing a new intermediate target control system with undetermined term instead of the determined one appeared in the normal backstepping method, we convert the original control system into the intermediate target control system by backstepping transformation. At the same time, we prove the exponential stabilization of the intermediate target control system by Lyapunov function method after choosing an appropriate linear integral feedback control. Then, combined with the invertibility and boundedness of backstepping transformation, we obtain the exponential stability of closed-loop system. Finally, the simulation shows the validity of the main theorem.
Empirical analysis on the export trade patterns in the Chinese antibiotic products
Authors: Hong Yu , Zhang Lin , Li Na , Liu Ting 
Published: July 2021

Abstract
This study used annual data from 1987 to 2019 to analyze the export trade patterns of antibiotic products of China. The weighted indicators of “revealed symmetric comparative advantage for export” (RXcj) is employed to capture the revealed comparative advantage of the Chinese export in the antibiotic products, and the weighted indicators of “export restriction” (HXcj) and “import restriction” (HMcj were used to measure the Chinese export and the import policy interventions. The research data found that the export of antibiotic products is much larger than that of imports, and China has a comparative advantage in the export of antibiotic products. China restricted the export of antibiotic products from 1987 to 1993, and began to promote exports in 1994. However, in 2019, due to the impact of the epidemic, import and export trade policies were limited, relatively speaking, China exported more antibiotic products than its export advantage determined.
Flood characteristic description using the singularity method
Authors: Wang Lei 
Published: July 2021

Abstract
An advanced understanding of the flood mechanism will provide scientific evidence for decision makers for assessing water resources and development planning. Mathematical models can be used to develop new indices for flood characteristics description and forecasting. In this study, a singularity index (fractal model) was developed by using peak flow and flow discharge data with time to describe flooding events in the Oak Ridges Moraine (ORM) area, especially for characterizing flow change properties. It was found that the singularity index can be used to describe flood characteristics, which describes the changing behaviour around the peak of the flood flow. The higher the singularity index, the more quickly the flood process changes, and vice versa. It was also observed that the singularity index is higher when more watersheds have urban land cover, and it is lower when fewer watersheds have urban land cover and more have agricultural land cover.
Prediction of life expectancy in Saudi Arabia by 2030 using ARIMA models
Authors: Alshehri A , El-Halawany F , Abu-Zinadah H 
Published: July 2021

Abstract
Life expectancy at birth (LEB) is a major factor for decision-making bodies when developing new healthcare policies or improving existing ones. This paper, with the help of R language, processes and examine the LEB data in Saudi Arabia from 1960 to 2012 using time-series analysis. To test the validity of the model, LEB data from 2013 to 2018 are used. The performance of the selected auto regressive integrated moving average (ARIMA) model has been calculated using several comparing criteria, commonly used in forecasting statistical evaluation, for fitness and prediction phases. Finally, the Saudi Arabian LEB data from 2018 to 2030 are forecasted and analyzed to correspond with the Saudi Vision 2030 framework.
Inference for additive model at response random missing based on principal component imputation
Authors: Dong Xuchen , Chen Simin 
Published: July 2021

Abstract
In this paper, we consider statistical inference for the additive model when the response is missing at random. The paper proposes a framework for statistical inference under missing data, which integrates basis function approximation and principal component imputed estimation equation (PCIEE). Inverse probability weighting is used to construct robust estimator. Under mild assumptions, the convergence rate of component function estimator is proved. In addition, when the sample size n tends to infinity, the PCIEE-based variable selection can select the real predictor. We also demonstrated the performance of PCIEE through numerical experiments.
A feasible method for training classified data with sparsity
Authors: Zhu Jingsong , Guo Bing , Luo Yingting , Pan Jianxin 
Published: July 2021

Abstract
Family harmony is an important part of social stability and harmony. Facing the rapid growth of divorce disputes, how to hear the cases quickly and fairly is an urgent matter to be solved. Based on judgment documents from courts located in Southwest of China, this paper studies how to evaluate and predict whether or not a case should be divorced. These documents are characterized by their unbalance and sparsity; besides that, most of variables are bearing with missing value. We propose a feasible method that shows high accuracy on both training and testing datasets. Concisely, oversampling and “clustering” are exploited to data pre-preparation, and recursive feature elimination is applied to deal with variables selection. In this paper we combined Random Forest and XGboost to derive a more feasible and precise model that achieves ninety percent of accuracy.
Lattice topological edge and corner modes of photonic crystal slabs
Authors: Zhang Z , You J W , Lan Z , Panoiu N C 
Published: July 2021

Abstract
Surface lattice modes, generated by the evanescent coupling between localized modes of optical resonators arranged in a two-dimensional (2D) array, generally exhibit remarkable optical response beyond the single photonic particle. Here, by employing the lattice mode concept, we demonstrate that lattice topological edge and corner modes can be achieved in properly designed photonic crystal (PhC) slabs. Such slabs consist of an array of finite-sized second-order topological insulators mimicking the 2D Su-Schrieffer-Heeger model. The proposed lattice edge and corner modes emerge within the topological band gap of the PhC slab, which dictates their topological nature. In particular, the band diagram of the lattice corner modes shows that they possess non-degenerate eigenfrequencies and dispersive bands. In addition, we show that the eigenfrequency of the lattice topological modes can be shifted by tuning the intercell and/or intracell optical coupling. Finally, by finely tuning the geometric parameters of the slab, we realize a lattice corner mode possessing flatband dispersion characteristics. Our study can find applications to topological lasing, nonlinearity enhancement, and slow-light effects in topological photonic systems.
Folk Song as Hybrid Art Form
Authors: Atkinson David 
Published: July 2021

AbstractA number of philosophers of music have proved resistant to the idea that song should be considered as a hybrid art that combines language and music. Separately, Levinson in his influential account of hybrid art forms does not admit folk song, even though he does allow nineteenth-century lieder into the hybrid category. Folk songs are sometimes treated as if they are anterior to and therefore ontologically distinct from the more complex songs of Western art music, or even of modern popular culture. In contrast, this article argues that in a historical perspective English-language folk songs constitute a category of considerable complexity, and that the combination of the two distinct media of language and music is fundamental to any consideration of such songs in an ontological perspective.
Subgroup Analysis of Individuals with Multiple Sclerosis Showing Cognitive Resilience
Authors: Randolph John J , Randolph Jennifer S , Wishart Heather A 
Published: July 2021

Abstract

Objective
Cognitive dysfunction is known to occur in many individuals with multiple sclerosis (MS). However, little is currently known about MS patients without cognitive impairment, including protective factors associated with intact cognition. The present study considered these issues in a sample of MS patients screened for intact subjective and objective cognitive functioning.

Methods
Two MS participant groups from a larger sample were derived: i) participants within 1 standard deviation of controls on measures of objective cognition, subjective cognition, and informant-observed subjective cognition [cognitively resilient MS group (MScr)], and ii) those classified as not cognitively resilient (MSncr). Both groups were compared with age- and gender-matched controls.

Results
Findings indicated that the MScr group was similar to the MSncr group on most disease and demographic variables, and level of fatigue. The MScr group showed higher estimated baseline intellectual ability and reported less anxiety, subclinical depressive symptoms, and pain interference. MScr participants also showed a trend toward more reported compensatory cognitive strategy use than MSncr participants. The MScr group showed comparable reading recognition and pain symptoms to controls.

Conclusions
Our findings provide preliminary information on factors associated with cognitive resilience in MS. Future research should examine resilient individuals with MS to further clarify positive outcomes in this condition.
RAD Adaptive Management for Transforming Ecosystems
Authors: Lynch Abigail J , Thompson Laura M , Morton John M , Beever Erik A , Clifford Michael , Limpinsel Douglas , Magill Robert T , Magness Dawn R , Melvin Tracy A , Newman Robert A , Porath Mark T , Rahel Frank J , Reynolds Joel H , Schuurman Gregor W , Sethi Suresh A , Wilkening Jennifer L 
Published: July 2021

AbstractIntensifying global change is propelling many ecosystems toward irreversible transformations. Natural resource managers face the complex task of conserving these important resources under unprecedented conditions and expanding uncertainty. As once familiar ecological conditions disappear, traditional management approaches that assume the future will reflect the past are becoming increasingly untenable. In the present article, we place adaptive management within the resist–accept–direct (RAD) framework to assist informed risk taking for transforming ecosystems. This approach empowers managers to use familiar techniques associated with adaptive management in the unfamiliar territory of ecosystem transformation. By providing a common lexicon, it gives decision makers agency to revisit objectives, consider new system trajectories, and discuss RAD strategies in relation to current system state and direction of change. Operationalizing RAD adaptive management requires periodic review and update of management actions and objectives; monitoring, experimentation, and pilot studies; and bet hedging to better identify and tolerate associated risks.
Baseline Functional Connectivity in Resting State Networks Associated with Depression and Remission Status after 16 Weeks of Pharmacotherapy: A CAN-BIND Report
Authors: van der Wijk Gwen , Harris Jacqueline K , Hassel Stefanie , Davis Andrew D , Zamyadi Mojdeh , Arnott Stephen R , Milev Roumen , Lam Raymond W , Frey Benicio N , Hall Geoffrey B , Müller Daniel J , Rotzinger Susan , Kennedy Sidney H , Strother Stephen C , MacQueen Glenda M , Protzner Andrea B 
Published: July 2021

Abstract
Understanding the neural underpinnings of major depressive disorder (MDD) and its treatment could improve treatment outcomes. So far, findings are variable and large sample replications scarce. We aimed to replicate and extend altered functional connectivity associated with MDD and pharmacotherapy outcomes in a large, multisite sample. Resting-state fMRI data were collected from 129 patients and 99 controls through the Canadian Biomarker Integration Network in Depression. Symptoms were assessed with the Montgomery-Åsberg Depression Rating Scale (MADRS). Connectivity was measured as correlations between four seeds (anterior and posterior cingulate cortex, insula and dorsolateral prefrontal cortex) and all other brain voxels. Partial least squares was used to compare connectivity prior to treatment between patients and controls, and between patients reaching remission (MADRS ≤ 10) early (within 8 weeks), late (within 16 weeks), or not at all. We replicated previous findings of altered connectivity in patients. In addition, baseline connectivity of the anterior/posterior cingulate and insula seeds differentiated patients with different treatment outcomes. The stability of these differences was established in the largest single-site subsample. Our replication and extension of altered connectivity highlighted previously reported and new differences between patients and controls, and revealed features that might predict remission prior to pharmacotherapy. Trial registration:ClinicalTrials.gov: NCT01655706.
I Can See Through You: Double Vision in Jennifer Egan’s Look at Me and Alexandra Kleeman’s You Too Can Have a Body Like Mine
Authors: Malone Patricia 
Published: July 2021

Abstract
In this essay, I read Jennifer Egan and Alexandra Kleeman’s work within a distinct strand of contemporary literature, characterized by a turn away from skepticism as regards the transparency of language, a revitalized faith in literary form, and a pronounced interest in the capacity of the novel form as well as a centering of the existential experience of the subject socialized as “woman.” Charting a shift from the paranoid mode of the high postmodernists to the contemporary moment in which appearance – visibility – is a necessary and even desirable form of sociality, I suggest that the turn “from the outside in” is fruitfully understood through consideration of the memoir boom of the 1990s and the “specular moment” of autobiography, reconsidering the dyadic dynamic of the reader–author relationship.
Substance use disorder approaches in US primary care clinics with national reputations as workforce innovators
Authors: O’Malley Denalee M , Abraham Cilgy M , Lee Heather S , Rubinstein Ellen B , Howard Jenna , Hudson Shawna V , Kieber-Emmons Autumn M , Crabtree Benjamin F 
Published: July 2021

Abstract

Background
Over the last decade, primary care clinics in the United States have responded both to national policies encouraging clinics to support substance use disorders (SUD) service expansion and to regulations aiming to curb the opioid epidemic.

Objective
To characterize approaches to SUD service expansion in primary care clinics with national reputations as workforce innovators.

Methods
Comparative case studies were conducted to characterize different approaches among 12 primary care clinics purposively and iteratively recruited from a national registry of workforce innovators. Observational field notes and qualitative interviews from site visits were coded and analysed to identify and characterize clinic attributes.

Results
Codes describing clinic SUD expansion approaches emerged from our analysis. Clinics were characterized as: avoidant (n = 3), contemplative (n = 5) and responsive (n = 4). Avoidant clinics were resistant to planning SUD service expansion; had no or few on-site behavioural health staff; and lacked on-site medication treatment (previously termed medication-assisted therapy) waivered providers. Contemplative clinics were planning or had partially implemented SUD services; members expressed uncertainties about expansion; had co-located behavioural healthcare providers, but no on-site medication treatment waivered and prescribing providers. Responsive clinics had fully implemented SUD; members used non-judgmental language about SUD services; had both co-located SUD behavioural health staff trained in SUD service provision and waivered medication treatment physicians and/or a coordinated referral pathway.

Conclusions
Efforts to support SUD service expansion should tailor implementation supports based on specific clinic training and capacity building needs. Future work should inform the adaption of evidence-based practices that are responsive to resource constraints to optimize SUD treatment access.
Herpes Zoster Vaccines
Authors: Harbecke Ruth , Cohen Jeffrey I , Oxman Michael N 
Published: July 2021

Abstract
Herpes zoster (HZ) affects approximately 1 in 3 persons in their lifetime, and the risk of HZ increases with increasing age. The most common, debilitating complication of HZ is the chronic neuropathic pain of postherpetic neuralgia (PHN). Two herpes zoster vaccines, a live-attenuated varicella-zoster virus (VZV) vaccine (zoster vaccine live [ZVL]; ZOSTAVAX [Merck]) and an adjuvanted VZV glycoprotein E (gE) subunit vaccine (recombinant zoster vaccine [RZV]; SHINGRIX [GlaxoSmithKline]) are licensed for the prevention of HZ and PHN in healthy older adults. The safety and efficacy of both vaccines has been demonstrated in clinical trials in immunocompetent adults and in selected immunocompromised persons and persons with immune-mediated diseases. Numerous real-world effectiveness studies have confirmed the safety and effectiveness of both ZVL and RZV. Recombinant zoster vaccine (RZV) is more effective for prevention of HZ than ZVL. Recombinant zoster vaccine is nonreplicating and is thus safe in immunocompromised persons. Additional zoster vaccines are in different stages of development. Wider distribution of safe and effective zoster vaccines will improve the health and well being of the rapidly growing population of older adults around the world.
Effectiveness of Human Papillomavirus (HPV) Vaccination Against Penile HPV Infection in Men Who Have Sex With Men and Transgender Women
Authors: Winer Rachel L , Lin John , Querec Troy D , Unger Elizabeth R , Stern Joshua E , Rudd Jessica M , Golden Matthew R , Swanson Fred , Markowitz Lauri E , Meites Elissa 
Published: July 2021

Abstract

Background
In the United States, human papillomavirus (HPV) vaccination has been recommended since 2011 for boys aged 11–12 years, with catch-up vaccination recommended through age 26 years for previously unvaccinated men who have sex with men (MSM).

Methods
During 2016–2018, a cross-sectional study enrolled MSM and transgender women aged 18–26 years in Seattle, Washington. Participants submitted self-collected penile swab specimens for HPV genotyping. HPV vaccination history was self-reported. We compared HPV prevalence among vaccinated participants with that in participants with no or unknown vaccination history, using log-binomial regression to estimate adjusted prevalence ratios and confidence intervals.

Results
Among 687 participants, 348 (50.7%) self-reported ever receiving ≥1 HPV vaccine dose; the median age at first HPV vaccination was 21 years, and the median age at first sex, 17 years. Overall, the prevalence of penile quadrivalent HPV vaccine (4vHPV)–type HPV was similar in vaccinated participants (12.1%) and participants with no or unknown vaccination (15.6%) (adjusted prevalence ratio, 0.69 [95% confidence interval, .47–1.01]). However, the prevalence was significantly lower in participants vaccinated at age ≤18 years than in those with no of unknown vaccination (0.15 [.04–.62]), corresponding to a vaccine effectiveness of 85% against 4vHPV-type HPV.

Conclusions
Results suggest that HPV vaccination is effective in preventing penile HPV infections in young MSM when administered at age ≤18 years.
The Value of Tantra: Markets, Modernity, and Mumbai’s Master of Mantra
Authors: Björkman Lisa , Burchett Patton 
Published: July 2021

AbstractThis article examines the vibrant presence of tantric religiosity in contemporary India through a case study of a Mumbai-based tāntrika, whom we call Ramji Pandit, and of the ways in which his Tantra is co-constitutive of contemporary business practices and global market economies. We show how Ramji’s tantric ritual services – based firmly in mantras, yantras, and a “science” of vibrational resonance – trouble the conventional ways that religion and economy are often conceptualized as separate domains of value and practice, thought to act upon one another. At once mediating the contradictions of a market-forward liberal socio-economic order, subverting hegemonic forms of economic rationality, and reinforcing consumerist structures and values of late capitalism, Ramji’s tantric practice is of a piece with today’s global economy in ways that demand further exploration. By investigating the economic and spiritual value projects and goals in which Tantra is enlisted, this article explores the “value of Tantra” today in India and globally.
Neural network-based build time estimation for additive manufacturing: a performance comparison
Authors: Oh Yosep , Sharp Michael , Sprock Timothy , Kwon Soonjo 
Published: July 2021

Abstract
Additive manufacturing (AM) has brought positive opportunities with phenomenal changes to traditional manufacturing. Consistent efforts and novel studies into AM use have resolved critical issues in manufacturing and broadened technical boundaries. Build time estimation is one of the critical issues in AM that still needs attention. Accurate build time estimation is key for feasibility studies, preliminary design, and process/production planning. Recent studies have provided the possibility of neural network (NN)-based build time estimation. In particular, traditional artificial NN (ANN)- and convolutional NN (CNN)-based methods have been demonstrated. However, very little has been done on the performance comparison for build time estimation among the different types of NNs. This study is aimed at filling this gap by designing various NNs for build time estimation and comparing them. Two types of features are prepared as inputs for the NNs by processing three-dimensional (3D) models: (1) representative features (RFs) including dimensions, part volume, and support volume; and (2) the set of voxels generated from designating the cells occupied by the workpiece in a mesh grid. With the combination of NN types and input feature types, we design three NNs: (1) ANN with RFs; (2) ANN with voxels; and (3) CNN with voxels. To obtain large enough label data for reliable training, we consider simulation build time from commercial slicing applications rather than actual build time. The simulation build time is calculated based on a material extrusion process. To address various cases for input models, two design factors (scale and rotation) are considered by controlling the size and build orientation of 3D models. In computational experiments, we reveal that the CNN-based estimation is often more accurate than others. Furthermore, the design factors affect the performance of build time estimation. In particular, the CNN-based estimation is strongly influenced by changing the size of 3D models.