bluuebunny/crossref_metadata_2025 huggingface dataset:
My body, still my choice: an objection to Hendricks on abortion
Authors: van Oosterum Kyle
Published: July 2022

In ‘My body, not my choice: against legalised abortion’, Hendricks offers an intriguing argument that suggests the state can coerce pregnant women into continuing to sustain their fetuses. His argument consists partly in countering Boonin’s defence of legalised abortion, followed by an argument from analogy. I argue in this response article that his argument from analogy fails and, correspondingly, it should still be a woman’s legal choice to have an abortion. My key point concerns the burdensomeness of pregnancy which is morally relevant to the question of whether the state can coerce people to use their bodies to help another person.
Double heterozygosity for mutations in the β-myosin heavy chain and in the cardiac myosin binding protein C genes in a family with hypertrophic cardiomyopathy
Authors: Richard Pascale , Isnard Richard , Carrier Lucie , Dubourg Olivier , Donatien Yves , Mathieu Bénédicte , Bonne Gisèle , Gary Françoise , Charron Philippe , Hagege Albert , Komajda Michel , Schwartz Ketty , Hainque Bernard
Published: July 2022

Familial hypertrophic cardiomyopathy is a genetically heterogeneous autosomal dominant disease, caused by mutations in several sarcomeric protein genes. So far, seven genes have been shown to be associated with the disease with the β-myosin heavy chain (MYH7) and the cardiac myosin binding protein C (MYBPC3) genes being the most frequently involved.

We performed electrocardiography (ECG) and echocardiography in 15 subjects with hypertrophic cardiomyopathy from a French Caribbean family. Genetic analyses were performed on genomic DNA by haplotype analysis with microsatellite markers at each locus involved and mutation screening by single strand conformation polymorphism analysis. Based on ECG and echocardiography, eight subjects were affected and presented a classical phenotype of hypertrophic cardiomyopathy. Two new mutations cosegregating with the disease were found, one located in the MYH7 gene exon 15 (Glu483Lys) and the other in the MYBPC3 gene exon 30 (Glu1096 termination codon). Four affected subjects carried the MYH7 gene mutation, two the MYBPC3 gene mutation, and two were doubly heterozygous for the two mutations. The doubly heterozygous patients exhibited marked left ventricular hypertrophy, which was significantly greater than in the other affected subjects.

We report for the first time the simultaneous presence of two pathological mutations in two different genes in the context of familial hypertrophic cardiomyopathy. This double heterozygosity is not lethal but is associated with a more severe phenotype.
The draw of the few: the challenge of crisis guidelines for extremely scarce resources
Authors: Appel Jacob M
Published: July 2022

The COVID-19 pandemic has focused considerable attention on crisis standards of care (CSCs). Most public CSCs at present are effective tools for allocating scarce but not uncommon resources (like ventilators and dialysis machines). However, a different set of challenges arise with regard to extremely scarce resources (ESRs), where the number of patients in need may exceed the availability of the intervention by magnitudes of hundreds or thousands. Using the allocation of extracorporeal membrane oxygenation machines as a case study, this paper argues for a different set of CSCs specifically for ESRs and explores four principles (transparency, uniformity, equity and impact) that should shape such guidelines.
Objective and perceived measures of tobacco marketing are uniquely associated with cigar use
Authors: Kowitt Sarah D , Finan Laura J , Lipperman-Kreda Sharon
Published: July 2022

Background

Few studies have examined associations between perceived and objective exposure to tobacco marketing and cigar use, which is the second most commonly used tobacco product by youth.

Methods

We used Geographic Ecological Momentary Assessment data over 14 days from youth aged 16–20 years (n=83 participants, n=948 observations; 34% past month users of any tobacco product) in eight city areas in California. Tobacco outlets in study cities were visited by trained observers to record outlet Global Positioning System (GPS) point locations and outdoor tobacco marketing. We assessed daily perceived exposure to tobacco marketing within participants’ activity spaces; daily objective exposure to tobacco outlets with outdoor marketing within 50 m of activity space polylines (number of outlets and time spent near outlets) and daily cigar use excluding and including blunts.

Results

Controlling for demographics and baseline tobacco use, results from mixed logistic regression models showed that greater perceived exposure to tobacco marketing was positively associated with higher odds of cigar use each day, excluding blunts (adjusted odds ratios (aOR): 2.00; 95% CI 1.03 to 3.87) and including blunts (aOR: 1.87; 95% CI 1.26 to 2.77). Also, exposure to a greater number of tobacco outlets with outdoor marketing was associated with higher odds of cigar use each day, excluding blunts (aOR: 1.34; 95% CI 1.01 to 1.78), but not including blunts.

Conclusions

Tobacco control efforts should consider both perceived and objective exposure to tobacco marketing and unique associations with blunt use to prevent cigar use.
The rapid expansion of Populus tremuloides due to anthropogenic disturbances in eastern Canada
Authors: Marchais Mathilde , Arseneault Dominique , Bergeron Yves
Published: July 2022

In the context of global changes, the future dynamics of trembling aspen ( Populus tremuloides Michx.) are uncertain in the middle of its range. An increase in climate-related mortality could occur, but the modification of disturbance regimes could also favor its expansion. In this study, we document trembling aspen dynamics over 40 years at the scale of a boreal forest landscape (10 930 km²), as well as the role of disturbances in these dynamics. The results indicate that trembling aspen has experienced a substantial expansion over the last four decades (+102% occurrence), particularly between 1987 and 1997 (+70.9% occurrence). Nevertheless, these dynamics vary both spatially and temporally, with for example a phase of weak decline since 1997 (−5.9% occurrence). Anthropogenic disturbances, particularly clear-cutting, have played a major role in the expansion of trembling aspen. This expansion could influence the response of ecosystems to climate change, by modifying both fire and insect outbreak activities.
Changes in the microbiome and associated host tissue structure in the blue mussel (Mytilus edulis) following exposure to polystyrene microparticles
Authors: Ferguson Laura V. , Hewins Ben , Harding Wesley , MacDonald Erin , Gibson Glenys
Published: July 2022

Marine life is increasingly exposed to microplastics, which can be ingested and disrupt the relationship between host tissues and their microbiomes. We investigated the effects of microplastics (5 µm polystyrene beads) on the microbial community and host tissue structure in organs at high risk of exposure (digestive gland and gills) in blue mussels ( Mytilus edulis Linnaeus, 1758). We exposed mussels to concentrations of microplastic consistent with levels found in local coastal waters. High exposures (1000 particles per m3 per mussel) decreased the alpha and beta diversity in the microbiome of the digestive gland, with an increase in relative abundance of Polaribacter and a decrease in other species in the Flavobacteriaceae. Both low (10 particles per m3 per mussel) and high exposures to polystyrene also changed tissue structure in the hosts, with an increase in immune cells (hemocytes) and reactive lysosomes in the gills, and in the digestive gland, a loss of cell specialization in digestive cells and an increase in cell breakdown products. Thus, exposure to particles of polystyrene in concentrations consistent with levels detected in local coastal zones reduces microbial biodiversity of the digestive gland and disrupts host tissues, which may indicate a loss of the host–symbiont interactions that support tissue homeostasis.
Sensitivity of direct detection experiments to neutrino dark radiation from dark matter decay and a modified neutrino-floor
Authors: Nikolic Marco , Kulkarni Suchita , Pradler Josef
Published: July 2022

In this work we analyse the ultimate sensitivity of dark matter direct detection experiments to dark radiation in form of SM or semi-sterile neutrinos. This flux-component is assumed to be produced from dark matter decay. Since dark radiation may mimic dark matter signals, we perform our analysis based on likelihood statistics that allows to test the distinguishability between signals and backgrounds. Given the previous bounds from neutrino experiments, we find that xenon-based dark matter searches will not be able to probe new regions of the dark matter progenitor mass and lifetime parameter space when the decay products are SM neutrinos. In turn, if the decay instead happens to a fourth neutrino species with enhanced interactions to baryons, DR can either constitute the dominant background or a discoverable signal in direct detection experiments. In the former case, this lifts the “neutrino floor” for xenon-based experiments.
Extend Bekenstein’s theorem to Einstein–Maxwell-scalar theories with a scalar potential
Authors: Qiu Jianhui , Gao Changjun
Published: July 2022

The Bekenstein’s theorem allows us to generate an Einstein-conformal scalar solution from a single Einstein-ordinary scalar solution. In this article, we extend this theorem to the Einstein–Maxwell-scalar (EMS) theory with a non-minimal coupling between the scalar and Maxwell field when a scalar potential is also included. As applications of this extended theorem, the well-known static dilaton solution and rotating solution with a specific coupling between dilaton and Maxwell field are considered, and new conformal dilaton black hole solutions are found. The Noether charges, such as mass, electric charge, and angular momentum, are compared between the old and new black hole solutions connected by conformal transformations, and they are found conformally invariant. We speculate that the theorem may be useful in the computations of metric perturbations and spontaneous scalarization of black holes in the Einstein–Maxwell-conformal-scalar theory since they can be mapped to the corresponding EMS theories, which have been investigated in detail.
Strange Nonchaotic Attractors in Memristor-Based Shimizu–Morioka Oscillator
Authors: Durairaj Premraj , Kanagaraj Sathiyadevi , Kathamuthu Thamilmaran , Rajagopal Karthikeyan
Published: July 2022

The existence of strange nonchaotic attractors (SNAs) is examined using a memristor-based Shimizu–Morioka oscillator. In particular, we analyze the birth of SNAs by varying one of the frequency of external quasi-periodic forces. The occurrence and its mechanism are further analyzed through rational approximation theory. Following that, we also perform different nonlinear dynamical characterizations, including Poincaré surface sections, singular continuous spectrum, separation of nearby trajectories, 0–1 test, as well as finite-time Lyapunov exponents for more precise validation. Finally, the experimental evidence for the occurrence of SNA is inspected through a real-time analog circuit in the laboratory.
A POD Reduced Order Method Applied to an Instability Problem of Rayleigh–Bénard Convection
Authors: Pla Francisco , Herrero Henar
Published: July 2022

The application of a proper orthogonal decomposition (POD) reduced order method to a two-dimensional instability problem of Rayleigh–Bénard convection is described in this work. The partial differential equations that model the problem along with the corresponding eigenvalue problems of the linear stability analysis of stationary solutions are numerically solved for different values of the bifurcation parameter, i.e. the Rayleigh number [Formula: see text]. The POD reduced order method considers spaces derived from different stationary solutions depending on [Formula: see text] as snapshots. The eigenvalue with the largest real part and its corresponding eigenfunction are calculated for the POD solutions. The resulting matrices of the eigenvalue problems are low-dimensional. There is a drastic reduction in the computational cost.
Bifurcation from Periodic Orbits of n-Dimensional Piecewise Smooth Differential Systems with Two Switching Planes
Authors: Yang Jihua
Published: July 2022

In this paper, the general perturbation problem of piecewise smooth integrable differential systems with two switching planes is considered. Firstly, when the unperturbed system has a family of periodic orbits, we obtain the first order Melnikov vector function which can be used to study the number of periodic orbits bifurcated from the period annuli. Then, by using the obtained Melnikov vector function, we get an upper bound of the number of periodic orbits of a concrete [Formula: see text]-dimensional piecewise smooth differential system.
Adaptively Adjusted Beliefs About Prices in an Evolutive Muthian Cobweb Model
Authors: Naimzada Ahmad , Pireddu Marina
Published: July 2022

In the present work, starting from the 1D evolutionary Muthian cobweb model in [Hommes & Wagener, 2010], where the economy is populated by biased firms and unbiased fundamentalist firms, we investigate the effects generated by adaptively adjusted beliefs on the long-period price of the goods produced. As in [Hommes & Wagener, 2010], we focus on the case in which the Muthian model is globally stable in the sense of Guesnerie [2002], stable under naive expectations. Coupling into the details, we first assume that just biased producers, being aware of the systematic errors they make in their forecasts, partially rely on an adaptive adjustment of beliefs, obtaining a 3D model, which has a unique steady state. Although in [Hommes & Wagener, 2010] the fundamental steady state is always stable and at most it can coexist with a period-two cycle, we show that the complexity degree increases in our case, where on increasing the reactivity of the evolutionary mechanism, there may be up to two stability thresholds for the steady state, both corresponding to flip bifurcations, and the equilibrium can coexist with a quasiperiodic attractor. On checking the robustness of such outcomes, we contrast them with those we find for the 4D setting, obtained by assuming that unbiased fundamentalists update their belief about the fundamental value partially relying on the same adaptive adjustment mechanism used by biased producers. The outcomes are similar to those of the 3D framework. For instance, in both cases, there exists just the fundamental equilibrium, which can coexist with a quasiperiodic attractor.
A Simple Memristive Circuit for Pattern Classification Based on Reservoir Computing
Authors: Tong Zhiqiang , Nakane Ryosho , Hirose Akira , Tanaka Gouhei
Published: July 2022

Reservoir computing is a machine learning framework suited for pattern recognition of temporal signals. A reservoir computing system normally consists of a dynamic reservoir and a static readout. Memristive systems and devices with intrinsic nonlinearity are potentially favorable for constructing a reservoir hardware because the role of the reservoir is to nonlinearly map input signals into a higher-dimensional feature space. In this study, we propose a minimal configuration of memristive circuit reservoirs for solving temporal pattern classification problems. We numerically demonstrate how the classification performance of the proposed reservoir computing systems with only two memristive devices depends on the system conditions in waveform and electrocardiogram classification tasks. The signal processing methods used for performance improvement provide useful insights into effective and efficient implementation of memristive reservoir computing hardware.
Classifying Nichols algebras over classical Weyl groups
Authors: Wu Weicai , Zhou Panyue
Published: July 2022

In this paper, we show that conjugacy classes of classical Weyl groups [Formula: see text] and [Formula: see text] are of type D. Consequently, we obtain that Nichols algebras of irreducible Yetter–Drinfeld modules over the classical Weyl groups [Formula: see text] ([Formula: see text]) are infinite dimensional.
Quandle coloring quivers of (p,2)-torus links
Authors: Basi Jagdeep , Caprau Carmen
Published: July 2022

A quandle coloring quiver is a quiver structure, introduced by Cho and Nelson, which is defined on the set of quandle colorings of an oriented knot or link by a finite quandle. We study quandle coloring quivers of [Formula: see text]-torus knots and links with respect to dihedral quandles.
THE PREPARATION AND CHARACTERIZATION OF A CERIUM-BASED RARE EARTH CONVERSION COATING ON MAGNESIUM ALLOY AZ91D AND ITS DEGRADATION IN 3.5% NaCl SOLUTION
Authors: SU LIHUIZI , ZHANG PEI , ZHOU YONG , FAN BAOMIN , YAN FUAN
Published: July 2022

For rare earth conversion coatings (RECCs) on the surface of magnesium alloy (MA), their electrochemical impedance spectroscopy (EIS) evolution and characteristics during the process of coating degradation in environmental media were involved relatively few. In this work, a cerium-based RECC (Ce-RECC) was prepared on the surface of MA AZ91D with chemical conversion technique; for Ce-RECC, its morphology was characterized with optical microscope (OM) and scanning electron microscope (SEM) observations, its composition was characterized with energy dispersion spectroscopy (EDS) and X-ray photoelectron spectroscopy (XPS) detections, and its protection was characterized with potentiodynamic polarization and EIS tests. Ce-RECC exhibited a mud-crack morphology and was composed of Ce and O mainly, and the corrosion current density ([Formula: see text]) and the coating resistance ([Formula: see text]) for Ce-RECC-coated MA AZ91D were smaller and larger than those for bare MA AZ91D, respectively. During the process of Ce-RECC degradation in 3.5% NaCl solution, the EIS of Ce-RECC-coated MA AZ91D always comprised a capacitive loop at high frequency region and an inductive loop at low frequency region, which was independent of time extension; however, the value of [Formula: see text] for Ce-RECC decreased gradually with the extension of time, and the total degradation of Ce-RECC consumed 77[Formula: see text]h.
Curvature estimates for the continuity method
Authors: Wondo Hosea
Published: July 2022

We obtain curvature estimates for long-time solutions of the continuity method on compact Kähler manifolds with semi-ample canonical line bundles. In this setting, initiated in [G. La Nave and G. Tian, A continuity method to construct canonical metrics, Math. Ann. 365(3) (2016) 911–921; Y. A. Rubinstein, Some discretizations of geometric evolution equations and the Ricci iteration on the space of Kähler metrics, Adv. Math. 218(5) (2008) 1526–1565], we adapt arguments from [F. T.-H. Fong and Y. Zhang, Local curvature estimates of long-time solutions to the Kähler–Ricci flow, Adv. Math. 375 (2020) 107416] for the Kähler–Ricci flow to this setup. As an application, we derive curvature bounds for general metrics on product manifolds.
Higher depth false modular forms
Authors: Bringmann Kathrin , Kaszian Jonas , Milas Antun , Nazaroglu Caner
Published: July 2022

False theta functions are functions that are closely related to classical theta functions and mock theta functions. In this paper, we study their modular properties at all ranks by forming modular completions analogous to modular completions of indefinite theta functions of any signature and thereby develop a structure parallel to the recently developed theory of higher depth mock modular forms. We then demonstrate this theoretical base on a number of examples up to depth three coming from characters of modules for the vertex algebra [Formula: see text], [Formula: see text], and from [Formula: see text]-invariants of three-manifolds associated with gauge group SU(3).
Closed-Form Solution of Fundamental Frequency of Steel-Concrete Hybrid Wind Turbine Tower
Authors: Li Shou-Zhen , Zhou Xu-Hong , Wang Yu-Hang , Gan Dan , Deng Xiao-Wei
Published: July 2022

With the development of wind power energy, the steel-concrete hybrid tower has been gradually popularized as the onshore tall wind turbine tower. To avoid the resonant response that brings violent damage to the wind turbine tower, the fundamental frequency of the hybrid tower must be carefully analyzed. This study develops a closed-form solution of the fundamental frequency of the hybrid tower, where the abrupt changes of cross-section and material properties, the effect of prestressing, and the mass and rotary inertia of the wind turbine are taken into account. It provides an effective way to obtain the fundamental frequency in the preliminary design of the hybrid tower. The effectiveness of the proposed solution is validated by comparing it with the results of finite element analysis, showing good agreement. By using the proposed solution, a parametric analysis is conducted to investigate the variation rules of the fundamental frequency to the design parameters. It indicates that with the variation of the proportion of the concrete/steel segments, the correlations between the fundamental frequency and the design parameters also change significantly. The parametric analysis conducted herein may provide instructive guidelines to adjust the parameters in the preliminary design of the hybrid tower.
IRFNet: Skin Lesion Detection and Classification Using Unified Intuitive and Object Classifier with Iterative Random Forest Algorithm
Authors: Raju Gottumukkala V. S. S. P. , Kumaran N. , Chandra Sekhar V.
Published: July 2022

Skin cancer is one of the critical diseases that occurs in different age groups of the population. Early detection and prevention can save many lives. Melanoma is one of the fundamental skin cancer types. The traditional approaches for skin lesion detection and classification (SLDC) failed to distinguish between melanoma and non-melanoma skin malignancies, resulting in low classification accuracy. Thus, this article is focused on the implementation of computer aided detection method for SLDC using iterative random forest (IRF) algorithm, hereafter named as IRFNet. The proposed IRFNet acts as a decision-making tool for the dermatologists. Initially, the first level consists of five intuitive classifiers (ICs) named as perceptron coupled with color local binary patterns (PC-CLBP), histograms of oriented gradients (HOGs), the generative adversarial network coupled with ABCD rule (GAN-ABCD), ResNet, and AlexNet are used to extract the texture, shape, color, size, and convolutional pixel connections-based features from given skin lesion images. Then, IRF algorithm is used to select the optimal features and finally the object classifier called deep learning convolutional neural network (DLCNN) is employed to classify the type of lesion as either melanoma or non-melanoma based on back-propagation perceptron that provides the final decision. The extensive simulation outcome performed on ISIC-2019 and PH2 datasets discloses the superiority of the proposed IRFNet in terms of precision, recall, sensitivity, specificity, and f1-score. In addition, it also achieved the trade-off between classification accuracy and execution time as compared to the existing SLDC approaches.
Wireless Capsule Endoscopy Infected Images Detection and Classification Using MobileNetV2-BiLSTM Model
Authors: Padmavathi P. , Harikiran J.
Published: July 2022

An efficient tool to execute painless imaging and examine gastrointestinal tract illnesses of the intestine is also known as wireless capsule endoscopy (WCE). Performance, safety, tolerance, and efficacy are the several concerns that make adaptation challenging and wide applicability. In addition, to detect abnormalities, the great importance is the automatic analysis of the WCE dataset. These issues are resolved by numerous vision-based and computer-aided solutions. But, they want further enhancements and do not give the accuracy at the desired level. In order to solve these issues, this paper presents the detection and classification of WCE infected images by a deep neural network and utilizes a bleed image recognizer (BIR) that associates the MobileNetV2 design to classify the images of WCE infected. For the opening-level evaluation, the BIR uses the MobileNetV2 model for its minimum computation power necessity, and then the outcome is sent to the CNN for more processing. Then, Bi-LSTM with an attention mechanism is used to improve the performance level of the model. Hybrid attention Bi-LSTM design yields more accurate classification outcomes. The proposed scheme is implemented in the Python platform and the performance is evaluated by Cohen’s kappa, F1-score, recall, accuracy, and precision. The implementation outcomes show that the introduced scheme achieved maximum accuracy of 0.996 with data augmentation with the dataset of WCE images which provided higher outcomes than the others.
The Effect of the Coronavirus Pandemic on the Prediction Accuracy of Stock Price
Authors: Huang Jia-Yen , Lin Wei-Zhen
Published: July 2022

In late 2019, the coronavirus began to spread around the world and impact international politics and economies significantly. In the face of the pandemic, stock markets around the world fluctuated sharply. The study aims to investigate the impact of the pandemic on the predictive variables of a stock prediction model, formed using chip-based variables and sentiment variables derived from comments posted on a social media platform. This study first performs feature engineering analysis to identify the indicators suitable for constructing the prediction model. The analysis then establishes a set of phrase rules to assign sentiment scores to the opinions expressed in replies and evaluates the effect on the accuracy of predictions. The results show that the major chip-based indicators affecting changes in the stock market differ before and after the pandemic. Hence, prediction models should be established separately for analysis in either period. In addition, the results indicate that the model relying on reply-based sentiment scores as a predictive variable provides more accurate predictions of stock price change.
Impact of Real-Time Information for Travellers: A Systematic Review
Authors: Akhla Ammar Ashraf Narul , Thong Chee Ling , Shibghatullah Abdul Samad , Chit Su Mon , Cherukuri Aswani Kumar , Chaw Lee Yen , Lee Chiw Yi
Published: July 2022

Real-time information (RTI) is defined as any up-to-date information collected which is immediately made available for the users. RTI is often used in transportation such as location tracking and navigation purposes which can affect the travel experience of travellers. The main objective of this study is to conduct a systematic review of published literature as an evidence regarding the impact of RTI on travellers. To date, there is a lack of comprehensive and structured study in reviewing the impacts of RTI for travellers. Three main research questions drive this review study: (i) what are the purpose, methodology and findings mentioned in literature that involved the impact of RTI? (ii) what elements are impacted by the availability of RTI? and (iii) does RTI help to improve transportation experience? Thirty-one relevant articles are included in the systematic review through a comprehensive literature search strategy which discards irrelevant literature. The 31 articles are significant to the study as they present the general situation of RTI which possesses impact elements for travellers. Based on the review results, three main elements were identified: traveller’s behaviour, traveller’s waiting time and traveller’s path and route choice. Most of the findings from the literature consistently revealed the positive impact of RTI to travellers. This opens to various possibilities and opportunities for the development and improvement of RTI, especially in the transportation field of the future. This study contributes both practically and theoretically for the future research in the utilisation and availability of RTI in the transportation field.
Implementation of Industry 4.0 Enabling Technologies from Smart Manufacturing Perspective
Authors: Ejaz Muhammad Rahim
Published: July 2022

This paper explains the step-by-step implementation of Industry 4.0 enabling technologies in the manufacturing industry. In this study, the concept of Industry 4.0 is categorized into two categories so that it can be explored in detail. This paper contributes to the development of an enhanced framework on Industry 4.0 enabling technologies that lead to the understanding and implementation of smart manufacturing. A thorough review of the existing literature has been conducted for a comprehensive understanding of the implementation framework of Industry 4.0 technologies. This study also explores the gaps present in the existing literature and tries to fill the gaps based on the existing knowledge. A table is also constructed based on the existing literature that explains the prerequisites of each enabling technology. This paper has also contributed to the modification of an existing Industry 4.0 technologies assessment model which can be used to evaluate the degree of readiness of an organization in order to implement Industry 4.0 technologies. This study gives a way forward to organizations who wish to adopt Industry 4.0 technologies. This paper also helps future researchers to explore new dimensions in the Industry 4.0 technologies which can be implemented by organizations.
Artifacts Availability & Reproducibility (VLDB 2021 Round Table)
Authors: Athanassoulis Manos , Triantafillou Peter , Appuswamy Raja , Bordawekar Rajesh , Chandramouli Badrish , Cheng Xuntao , Manolescu Ioana , Papakonstantinou Yannis , Tatbul Nesime
Published: July 2022

In the last few years, SIGMOD and VLDB have intensified efforts to encourage, facilitate, and establish reproducibility as a key process for accepted research papers, awarding them with the Reproducibility badge. In addition, complementary efforts have focused on increasing the sharing of accompanying artifacts of published work (code, scripts, data), independently of reproducibility, awarding them the Artifacts Available badge. In this short note, we summarize the discussion of a panel held during VLDB 2021 titled "Artifacts, Availability & Reproducibility". We first present a more detailed summary of the recent efforts. Then, we present the discussion and the contributed key points that were made, aiming to assess the reproducibility of data management research and to propose changes moving forward.
Simulation Tests of Methods in Evolution, Ecology, and Systematics: Pitfalls, Progress, and Principles
Authors: Lotterhos Katie E. , Fitzpatrick Matthew C. , Blackmon Heath
Published: July 2022

Complex statistical methods are continuously developed across the fields of ecology, evolution, and systematics (EES). These fields, however, lack standardized principles for evaluating methods, which has led to high variability in the rigor with which methods are tested, a lack of clarity regarding their limitations, and the potential for misapplication. In this review, we illustrate the common pitfalls of method evaluations in EES, the advantages of testing methods with simulated data, and best practices for method evaluations. We highlight the difference between method evaluation and validation and review how simulations, when appropriately designed, can refine the domain in which a method can be reliably applied. We also discuss the strengths and limitations of different evaluation metrics. The potential for misapplication of methods would be greatly reduced if funding agencies, reviewers, and journals required principled method evaluation.
Highly Sensitive Detection and Mapping of Incipient and Steady-State Oxygen Evolution from Operating Li-Ion Battery Cathodes via Scanning Electrochemical Microscopy
Authors: Mishra Abhiroop , Sarbapalli Dipobrato , Hossain Md. Sazzad , Gossage Zachary T. , Li Zheng , Urban Alexander , Rodríguez-López Joaquín
Published: July 2022

Lattice oxygen loss during cathode charging significantly limits the charge storage capacity of lithium-ion batteries (LiBs). Therefore, elucidating the oxygen loss and subsequent surface reconstruction phenomena remains an ongoing pursuit with practical implications. In this article, we report an in situ oxygen detection strategy using scanning electrochemical microscopy (SECM) that reveals an unprecedented two-stage oxygen evolution behavior from commercial cathodes. This highly sensitive SECM method captured an unreported transient oxygen release at less than 3.3 V vs Li+/Li during the first charge cycle of LiCoO2, LiNi0.33Mn0.33Co0.33O2 and LiNi0.8Mn0.1Co0.1O2. At the main oxygen loss process above 3.3 V vs Li+/Li, SECM mapping highlighted spatial and temporal heterogeneities. Finite element simulations were used to quantify the rate of instantaneous oxygen release, with rates of ∼30 pmol cm−2s for the steady-state oxygen evolution. This SECM approach revealed incipient degradation processes and created new quantitative and spatially resolved opportunities for investigating degradation in operating LiB cathodes.
Space Charge and Trap Distributions and Charge Dynamic Migration Characteristics in Polypropylene under Strong Electric Field
Authors: Li Guochang , Gu Zhenlu , Xing Zhaoliang , Zhang Chong , Guo Shaowei , Hao Chuncheng , Lei Qingquan
Published: July 2022

Space charge accumulation in the polypropylene will accelerate the aging of the material and lead to the degradation of its insulation performance. In the work, space charge distribution, current conduction characteristics, thermally stimulated depolarization current (TSDC) and surface potential decay (SPD) characteristics of polypropylene (PP) under strong electric field are measured and analyzed, and the bulk trap and surface trap parameters are extracted. Further, the charge transport model of PP is established to study the charge dynamic transport physical processes and characteristics under strong electric field. The experimental results show that the charge accumulation amount in PP under the action of negative polarity electric field is higher than that of positive polarity electric field, about one order of magnitude. and the corresponding trap energy levels are 0.84 eV and 0.81 eV, which both belong to deep traps. There are two obvious charge density peaks on the PP surface, which are 2.60 × 1020·eV−1·m−3 and 3.66 × 1020·eV−1·m−3, respectively, and the corresponding surface trap energy levels are 0.86 eV and 0.97 eV. The simulation results show that with the extension of the applied voltage time, the injected charges by the electrode gradually migrate to the bulk of the material and eventually the positive and negative charges are offset at the middle position. The local electric field caused by the accumulation of interfacial charges will weaken the original electric field, while the local electric field caused by the accumulation of the bulk charges will strengthen the original electric field, resulting in the distortion of the internal electric field.
Determinants and Trends of Health Facility Delivery in Bangladesh: A Hierarchical Modeling Approach
Authors: Kabir Samia , Hasan Md. Rifat , Hossain Md. Ismail , Suraiya Sharmin , Islam Fiza Binta , Nayan Md. Iqbal Hossain , Haq Iqramul , Hossain Md. Sanwar
Published: July 2022

Background. Most maternal deaths occur during childbirth and after childbirth. This study was aimed at determining the trends of health facilities during delivery in Bangladesh, as well as their influencing factors. Methods. This study used secondary data from three Bangladesh Multiple Indicator Cluster Surveys (MICSs) in 2006, 2012–13, and 2019. The study’s target sample was those women who gave birth in the last two years of the survey. A two‐level logistic regression was applied to determine the effects on health facility delivery separately in these two survey points (MICSs 2012–13 and 2019). Results. The results show that the delivery of health facilities has increased by almost 37.4% in Bangladesh, from 16% in 2006 to 53.4% in 2019. The results of two‐level logistic regression show that the total variation in health facility delivery across the community has decreased over recent years. After adding community variables, various individual‐level factors such as women with secondary education (OR = 0.55 in 2012‐13 vs. OR =0.60 in 2019), women from middle wealth status (OR = 0.49 in 2012‐13 vs. OR = 0.65 in 2019), religion, and child ever born showed a strong relationship with health facility delivery in both survey years. At the community level, residents showed significant association only in the 2012‐13 survey and indicated a 43% (OR = 1.43 for 2012‐13) greater availability of health facilities in urban residences than in rural residences. Using media showed a highly significant connection with health facility delivery in both years as well as an increasing trend over the years in Bangladesh (OR = 1.19 in 2012‐13 vs. OR = 1.38 in 2019). However, division, prenatal care, and skilled services all contribute greatly to increasing the delivery of health facilities in Bangladesh. Conclusions. The results of this study suggest that policymakers need to pay attention to individual and community‐level factors, especially women’s education, poverty reduction, and adequate prenatal care provided by well‐trained caregivers.
Quantitative Identification of Grouting Effect of Working Face Floor with Multifactor Set
Authors: Yang Zhenwei , Yue Junchao , Wang Xinyi , Guo Shuitao
Published: July 2022

The deep coal mining in the North China type of coalfield is generally threatened by the underlying limestone water of Taiyuan Formation and Ordovician. The occurrence of water inrush can be avoided effectively by applying grouting reinforcement technology to the coal floor. However, the reinforcement treatment of the coal floor belongs to underground concealment engineering, and it is of great significance for the safe production of the coal mine by scientifically and comprehensively evaluating the technical method of the grouting effect on the working face floor. In this study, the optimal transfer matrix is used to construct the judgment matrix that meets the consistency requirements; the analytic hierarchy process is improved; and the grouting effect of the working face floor is evaluated by fuzzy comprehensive evaluation based on several factors of the grouting effect. Taking the grouting engineering of the 15092 working face of the Guhanshan Mine as an example, the evaluation of the grouting effect based on four evaluatory indices have been refined: dynamic hydrological features, grout amount, grouting inspection hole, and geophysical prospecting have been refined. Based on the improved analytic hierarchy process (AHP), the result of the grouting effect can be divided into four levels: distinction, good, average, and poor. The study would play a very important role in the evaluation of the grouting reinforcement of the working face floor and the practice of coal mine production safety.
[Retracted] A Retrospective Study on the Time in Range of Blood Glucose and Type 2 Diabetic Peripheral Neuropathy
Authors: Li Ming , Wu Kaiming , Chang Jianfei , Jiang Wan-chen
Published: July 2022

Background. Time in range (TIR) is one of the basic indicators to assess glycemic control. In this study, the TIR of DPN patients was used as the observation index to further evaluate the correlation between TIR and DPN, so as to provide new ideas for preventing the occurrence of DPN and delaying its disease progression. Methods. A total of 120 patients with T2DM (T2DM) who were hospitalized in the Endocrinology Department of our hospital from October 2018 to February 2020 were included and divided into two groups according to whether the nerve conduction velocity was normal or not, the diabetic peripheral neuropathy group (DPN) and the other groups. No diabetic peripheral neuropathy group (NDPN). According to the corresponding inclusion and exclusion criteria, the baseline data were recorded, and test indicators such as homocysteine and blood lipids were collected at the same time, and TIR was collected by a transient blood glucose meter. To explore the relationship between TIR and other indicators and peripheral neuropathy in T2DM. Results. A total of 120 T2DM patients participated in the study, including 82 in the DPN group and 38 in the NDPN group. There were no statistically significant differences in basic indicators such as age, height, and weight between the two groups. Glycated hemoglobin (HbA1c) and homocysteine (Hcy) in DPN group were higher than those in NDPN group, while TIR and HDL‐C were lower than those in NDPN group (P < 0.05). Logistic regression analysis showed that HbA1c and Hcy were risk factors for DPN, and TIR and HDL‐C were protective factors for DPN, with statistical significance (P < 0.05). The prediction results of TIR, Hcy, HDL‐C, and HbA1c on diabetic peripheral neuropathy were analyzed by ROC curve, and the prediction results of the five variables were all statistically significant (P < 0.05) and have a better prediction effect. Conclusion. (1) The results of TIR level suggest that the longer the blood sugar is in the good control range, the more beneficial it is to reduce the occurrence of DPN. (2) TIR and HDL‐C are protective factors for DPN, and HbA1c and Hcy are risk factors for DPN. (3) The results of ROC curve analysis showed that TIR, Hcy, HbA1c, and HDL‐C had a good predictive effect on the occurrence of DPN.
Comparison of Needle-Warming Moxibustion and Other Physical Therapies for Lumbar Disc Herniation: A Meta-analysis
Authors: Wang Juan , Liang Chongnan , Zeng Fanguang , Fan Liang , Zhuang Jingqing
Published: July 2022

Background. Needle-warming moxibustion (NWM) demonstrates a controversial effect on lumbar disc herniation (LDH). This study is aimed at comparing the efficacy of NWM and conventional acupuncture or other physical therapies on LDH through a meta-analysis. Methods. Potentially eligible literatures were retrieved and screened from electronic databases. The subject of the literature was a comparison of NWM and conventional acupuncture or other physical therapies for LDH. The methodological quality was evaluated by the Jadad scale. The chi-square test was used for the heterogeneity test. Subgroup analysis was used to explore the source of heterogeneity. Risk ratio (RR) or mean difference (MD) with 95% confidence interval (CI) was used to describe the effect size. The publication bias was evaluated by Egger’s test. Results. The effective rate of NWM in the treatment of LDH was significantly higher than that of conventional acupuncture (

RR
=
1.27
,
95
%
CI
 

1.18
,
1.36

,
P
<
0.00001

) and lumbar traction (

RR
=
1.12
,
95
%
CI
 

1.06
,
1.18

,
P
<
0.0001

) There was no significant difference in the effective rate between NWM and electric acupuncture for LDH (

RR
=
1.06
,
95
%
CI
 

0.98
,
1.14

,
P
=
0.17

). VAS of LDH patients treated with NWM was lower than conventional acupuncture (

MD
=
−
1.51
,
95
%
CI
 

−
1.70

,

−

1.31

,
P
<
0.00001

) and lumbar traction (

MD
=
−
2.64
,
95
%
CI
 

−
2.79

,

−

2.49

,
P
<
0.00001

) but statistically insignificant with electric acupuncture (

MD
=
−
0.31
,
95
%
CI
 

−
0.72
,
0.09

,
P
=
0.13

). JOA scores of LDH patients treated with NWM were higher than those with conventional acupuncture (

MD
=
2.24
,
95
%
CI
 

1.04
,
3.45

,
P
=
0.0003

) and lumbar traction (

MD
=
10.76
,
95
%
CI
 

10.45
,
11.07

,
P
<
0.00001

) but statistically insignificant with electric acupuncture (

MD
=
0.25
,
95
%
CI
 

−
0.95
,
1.45

,
P
=
0.69

). The long-term effective rate of NWM on LDH was higher than that of conventional acupuncture (

MD
=
3.13
,
95
%
CI

2.12
,
4.61

,
P
<
0.00001

). In this study, no heterogeneity (

P
>
0.10
,

I

2

<
50
%

) and publication bias (

P
>
0.05

) among the literature were noted. Conclusion. The effect of NWM on LDH was superior to traction therapy and conventional acupuncture therapy, but similar to electric acupuncture for LDH. High-quality randomized controlled trials were still needed to confirm the results.
Construction of a Multimedia-Assisted Teaching System for English Courses in a Multimodal Sensing Environment
Authors: Weng Xiaobin
Published: July 2022

With the advent of the information era, education reform has also sounded the call for in-depth reform and development. In order to cope with the development needs of modern society’s economy and political culture, the importance of English, as the mainstream language of international communication in the world today, is also self-evident. In rapid development of science and technology, network multimedia-assisted teaching has also been developed rapidly, while the teaching methods and teaching outcomes of foreign languages have been the focus of people’s attention. The diversified development of students and changes in science and technology has been driving the improvement and construction of teaching systems based on the English curriculum. In today’s multimodal sensing environment, a personalized recommendation algorithm of cluster analysis algorithm + collaborative filtering is introduced to complete the construction of the teaching system, and the superiority of the system is demonstrated by questionnaire survey and performance analysis comparison with teachers and students as the main research targets. The aim is to fully integrate the new media context and multimodal sensing environment in this environment, and to use in this environment, we aim to fully integrate the new media context and multimodal sensing environment and use multimedia technology to assist the construction of the teaching system.
[Retracted] The Application Effect of Evidence‐Based Care in Gastrointestinal Surgical Pipeline Nursing
Authors: Chen Xiaoyan , Song Qianqian , Wu Junhong , Fang Zonglan , Sui Guiyuan
Published: July 2022

With the improvement of the higher nursing education system, the overall quality and work ability of clinical nurses have also been significantly improved. Most nursing staff have a positive attitude towards evidence‐based nursing medicine but lacking of the knowledge and skills about evidence‐based nursing. Clinical nurses are still short of the ability to evaluate relevant research data, which is one of the cause of interference for the clinical nurses to use the latest research results reasonably and effectively at present. The purpose of this paper is to explore the application effect of evidence‐based nursing in gastrointestinal surgical pipeline nursing and to clarify the impact of evaluation ability on nurses in clinical practice, investigate, and discuss the application effect of evidence‐based nursing in gastrointestinal surgical pipeline nursing. This paper selects the clinical nurses of the three top three hospitals in a province as the research object, using the ways of general data questionnaire, the general individual performance sensitivity scale, the evidence‐based nursing application behavior questionnaire, the evidence‐based nursing application behavior willingness questionnaire, and the evaluation ability training needs questionnaire to collect data for 100 cases of gastrointestinal surgery clinical nurses. Analyze nurses’ awareness level of evidence‐based nursing, the willingness of evidence‐based nursing behavior, and the relevance of evidence‐based nursing behaviors. Use multiple regression analysis methods to explore its influencing factors, and use data statistics to analyze the role and effect of evidence‐based nursing in the gastrointestinal surgery pipeline. The research results show that the evaluation ability has a significant promotion effect on clinical nursing application, and it is one of the important factors for clinical nurses to use evidence‐based nursing. Clinical nurses have a higher demand for evaluation ability training, and basically here, the application effect of evidence‐based nursing in the gastrointestinal surgical pipeline nursing is relatively good.