bluuebunny/crossref_metadata_2025 huggingface dataset:
Use of real-world data and clinical registries to identify new uses of existing vascular endografts: combined use of GORE EXCLUDER Iliac Branch Endoprosthesis and GORE VIABAHN VBX Balloon Expandable Endoprosthesis
Authors: Barnes Jonathan Aaron , Eid Mark A , Moore Kayla , Aryal Suvekshya , Gebre Eden , Woodard Jennifer Nicole , Kitpanit Napong , Mao Jialin , Kuwayama David P , Suckow Bjoern D , Schneider Darren , Abushaikha Tiffany , Zusterzeel Robbert , Vemulapalli Sreekanth , Shenkman Elizabeth A , Williams James , Sedrakyan Art , Goodney Philip
Published: July 2022

Objective

To assess the feasibility of collecting, examining and reporting observational, real-world evidence regarding the novel use of the GORE EXCLUDER Iliac Branch Endoprosthesis (IBE) in conjunction with the GORE VIABAHN VBX Balloon Expandable Endoprosthesis (IBE+VBX stent graft).

Design

Multicentre retrospective cohort study.

Setting

Four real-world data sources were used: a national quality improvement registry, a statewide clinical research network, a regional quaternary health system and two tertiary academic medical centres.

Participants

In total, 30 patients with 37 IBE+VBX stent graft were identified. Of those, the mean age was 72±10.2 years and 90% were male. The cohort was 77% white, 10% black, 3% Hispanic and 10% other.

Main outcome measures

Outcome measures included: proportion of percutaneous vs open surgical access, intensive care admission, intensive care unit (ICU) length-of-stay (LOS), total LOS, postoperative complications, discharge disposition and 30-day mortality.

Results

The majority (89%) of cases were performed percutaneously, 5% required surgical exposure following failed percutaneous access and 6% required open surgical exposure outright. Nearly half (43%) required intensive care admission with a median ICU LOS of 1 day (range: 1–2). Median total LOS was 1 day (IQR: 1–2). There were zero postoperative myocardial infarctions, zero reported leg embolisations and no reported reinterventions. Access site complications were described in 1 of 28 patients, manifesting as a haematoma or pseudoaneurysm. Ultimately, 97% were discharged to home and one patient was discharged to a nursing home or rehabilitation facility. There were no 30-day perioperative deaths.

Conclusions

This project demonstrates the feasibility of identifying and integrating real-world evidence, as it pertains to an unapproved combination of endovascular devices (IBE+VBX stent graft), for short-term outcomes analysis. This new paradigm of evidence has potential to be used for device monitoring, submission to regulatory agencies, or consideration in indication expansions and approvals with further efforts to systematise data collection and transmission mechanisms.
The safety value of driver education an training
Authors: Mayhew D R , Simpson H M
Published: July 2022

Background:New drivers, especially young ones, have extremely high crash rates. Formal instruction, which includes in-class education and in-vehicle training, has been used as a means to address this problem.

Objectives:To summarize the evidence on the safety value of such programs and suggest improvements in program delivery and content that may produce safety benefits.

Methods:The empirical evidence was reviewed and summarized to determine if formal instruction has been shown to produce reductions in collisions, and to identify ways it might achieve this objective.

Results:The international literature provides little support for the hypothesis that formal driver instruction is an effective safety measure. It is argued that such an outcome is not entirely unexpected given that traditional programs fail to address adequately the age and experience related factors that render young drivers at increased risk of collision.

Conclusions:Education/training programs might prove to be effective in reducing collisions if they are more empirically based, addressing critical age and experience related factors. At the same time, more research into the behaviors and crash experiences of novice drivers is needed to refine our understanding of the problem.
Impact of the transition to digital pathology in a clinical setting on histopathologists in training: experiences and perceived challenges within a UK training region
Authors: Browning Lisa , Winter Lucinda , Cooper Rosalin A , Ghosh Abhisek , Dytor Thomas , Colling Richard , Fryer Eve , Rittscher Jens , Verrill Clare
Published: July 2022

Aims

With increasing utility of digital pathology (DP), it is important to consider the experiences of histopathologists in training, particularly in view of the varied access to DP across a training region and the consequent need to remain competent in reporting on glass slides (GS), which is also relevant for the Fellowship of the Royal College of Pathologists part 2 examination. Understanding the impact of DP on training is limited but could aid development of guidance to support the transition. We sought to investigate the perceptions of histopathologists in training around the introduction of DP for clinical diagnosis within a training region, and the potential training benefits and challenges.

Methods

An anonymous online survey was circulated to 24 histopathologists in training within a UK training region, including a hospital which has been fully digitised since summer 2020.

Results

19 of 24 histopathologists in training responded (79%). The results indicate that DP offers many benefits to training, including ease of access to cases to enhance individual learning and teaching in general. Utilisation of DP for diagnosis appears variable; almost half of the (10 of 19) respondents with DP experience using it only for ancillary purposes such as measurements, reporting varying levels of confidence in using DP clinically. For those yet to undergo the transition, there was a perceived anxiety regarding digital reporting despite experience with DP in other contexts.

Conclusions

The survey evidences the need for provision of training and support for histopathologists in training during the transition to DP, and for consideration of their need to maintain competence and confidence with GS reporting.
A mutation in the RIEG1 gene associated with Peters’ anomaly
Authors: Doward W , Perveen R , Lloyd I C , Ridgway A E A , Wilson L , Black G C M
Published: July 2022

Mutations within the RIEG1 homeobox gene on chromosome 4q25 have previously been reported in association with Rieger syndrome. We report a 3′ splice site mutation within the 3rd intron of the RIEG1 gene which is associated with unilateral Peters’ anomaly. The mutation is a single base substition of A to T at the invariant -2 site of the 3′ splice site. Peters’ anomaly, which is characterised by ocular anterior segment dysgenesis and central corneal opacification, is distinct from Rieger anomaly. This is the first description of a RIEG1 mutation associated with Peters’ anomaly.
Hand osteoarthritis is associated with limitations in paid and unpaid work participation and related societal costs: the HOSTAS cohort
Authors: Terpstra Sietse E S , van de Stadt Lotte A , Boonen Annelies , Damman Wendy , Rosendaal Frits R , Kloppenburg Margreet
Published: July 2022

Objectives

Data on work participation impairment and related societal costs for patients with hand osteoarthritis (OA) are scarce. Therefore, we aimed to investigate the association of hand OA with work limitations and costs of productivity loss in paid and unpaid work.

Methods

We used data from the Hand Osteoarthritis in Secondary Care cohort, including patients with hand OA diagnosed by their treating rheumatologist. Using the validated Health and Labour Questionnaire, we assessed experienced unpaid and paid work restrictions, unpaid work replacement by others and inefficiency and absence during paid work related to hand OA over the last 2 weeks. Societal costs (€) per hour of paid and unpaid work were estimated using Dutch salary data in 2019.

Results

381 patients were included (mean age 61 years, 84% women, 26% high education level, 55% having any comorbidity). Replacement of unpaid work by others due to hand OA was necessary for 171 out of 381 patients (45%). Paid work was reported by 181/381 patients (47%), of whom 13/181 (7%) reported absenteeism, 28/181 (15%) unproductive hours at work and 120/181 (66%) paid work restrictions due to hand OA.

Total estimated work-related societal costs per patient with hand OA (381 patients) were €94 (95% CI 59 to 130) per 2 weeks (€2452, 95% CI 1528 to 3377 per year).

Conclusions

Hand OA is associated with impairment in paid and unpaid work participation, which translates into substantial societal costs of lost productivity. These results highlight the importance of adequate hand OA treatment.
Dissecting signalling pathways associated with intrarenal synthesis of complement components in lupus nephritis
Authors: Tampe Desiree , Hakroush Samy , Tampe Björn
Published: July 2022

Lupus nephritis is one of the most common and serious complications of systemic lupus erythematosus, attributed to increased morbidity and mortality. The in situ deposition of intrarenal immune complexes promote the accumulation of inflammatory cells and cause kidney injury in lupus nephritis. Among potential sources of intrarenal complement deposits, the concept of intrarenal complement synthesis has been described more than three decades ago in experimental lupus nephritis. By using transcriptome datasets, we here identified accelerated intrarenal synthesis of distinct classical and alternative complement pathway components, most associated with impaired kidney function. Contrasting to this, no such induction of intrarenal complement synthesis was observed in disease controls, further supporting relevance of intrarenal complement synthesis especially in human lupus nephritis. Gene set enrichment identified that glomerular complement synthesis predominantly associated with interferon signalling and signalling by interleukins in human lupus nephritis, whereas tubulointerstitial complement synthesis with aberrant T-cell receptor signalling. Because the pathomechanistic involvement of complement system activation contributed to recent advances in targeted therapy in lupus nephritis, this study provides additional insights into signalling pathways associated with intrarenal synthesis of complement components in lupus nephritis that might be also affected by targeted therapy of the complement system.
Sensory methods to evaluate perception of flavours in tobacco and other nicotine-containing products: a review
Authors: Bernat Jennifer K , Jackson Kia J , Krüsemann Erna J Z , Boesveldt Sanne , Rudy Susan F , Talhout Reinskje
Published: July 2022

Objectives

Sensory methods use human senses to evaluate product attributes. This review provides an overview of the types of sensory methods used to evaluate the perception of flavour in tobacco and other nicotine-containing (ToNic) products and to discuss how sensory data could inform flavoured ToNic product policy.

Data sources

PubMed, Embase and Web of Science.

Study selection

All peer-reviewed studies evaluating ToNic products using a sensory method published before 23 May 2020.

Data extraction

Two independent coders completed title/abstract and full-text screening to choose articles for inclusion (Cohen’s kappa=0.85, strong agreement). Each coder completed data extraction on half the articles, recording relevant information (eg, sensory methods used, results). The coders categorised sensory methods and generated overarching themes.

Data synthesis

Of 110 articles identified, we included 29 articles containing 35 studies that used sensory methods to investigate ToNic products. The sensory methods included analytic methods such as discrimination and descriptive tests and hedonic methods such as liking tests. Six themes emerged regarding how sensory methods can be used to understand consumer perception and liking of ToNic products and to inform ToNic product policy.

Conclusions

The identified studies highlight that sensory data can inform ToNic product policy. Analytic and sensory hedonic ratings can be used to assess a ToNic product’s ability to promote addiction in the user (ie, abuse liability). Lastly, hedonic ratings can provide information to assess potential use behaviours.
A meta-analytic review on the spatial and climatic distribution of meteorological drought indices
Authors: Kim Whijin , Park Eunbeen , Jo Hyun-Woo , Roh Minwoo , Kim Joon , Song Cholho , Lee Woo-Kyun
Published: July 2022

Abnormalities in climate in recent years have been attributed to climate change. In particular, an increase in the frequency of droughts has started to influence the way we live. There is an urgent need to study and monitor droughts to prevent severe damage. Drought monitoring research is conducted using the meteorological drought index, a compilation of weather data. Although weather data are highly dependent on climatic zones, existing studies have not considered the drought index by climatic zones. This study aims to identify the spatial and climatic distribution of meteorological drought index studies and provide a well-matched combination of the drought index and climatic classification through a meta-analytic review. Data were used in the form of research papers covering the Palmer Drought Severity Index (PDSI), Standardized Precipitation Index (SPI), and Standardized Precipitation Evapotranspiration Index (SPEI) published from 2011 to 2021. The trends showed that SPEI has become a leading index for the study of drought monitoring among the three drought indices since 2015. Additionally, Asia was the focus of much of this drought research due to climate events in China. Each continent and climate classification was assigned to a different dominant drought index. For example, PDSI was commonly used in North America and continental climates, SPI in Africa, Europe, South America, and tropical and dry climates, and SPEI in Asia and temperate climates. This evaluates countries, in which drought monitoring studies are rare, using a meteorological index based on the same climatic zones. Monitoring and predicting drought patterns would improve the basic needs of humankind.
High-field magnetoresistance of microcrystalline and nanocrystalline Ni metal at 3 K and 300 K
Authors: Bakonyi I. , Czeschka F. D. , Kiss L. F. , Isnaini V. A. , Krupp A. T. , Palotás K. , Zsurzsa S. , Péter L.
Published: July 2022

The longitudinal and transverse magnetoresistance curves MR(H) and the magnetization isotherms M(H) were measured at T = 3 K and 300 K up to high magnetic fields for a microcrystalline (µc) Ni foil with grain sizes above 1 µm (corresponding to bulk Ni) and for a nanocrystalline (nc) Ni foil with an average grain size of about 100 nm. At T = 3 K, the field-induced resistivity change was quite different for the two microstructural states of Ni and the evolution of resistivity with magnetic field was also different which could be explained as arising from their very different electron mean free paths. At T = 300 K, the MR(H) curves of both the μc-Ni and nc-Ni samples were very similar to those known for bulk Ni. The MR(H) data were analyzed at both temperatures with the help of Kohler plots from which the resistivity anisotropy splitting (ΔρAMR) and the anisotropic magnetoresistance (AMR) ratio were derived, the latter values being very similar at both temperatures and for both microstructural states of Ni metal. The present high-precision MR(H) data revealed that the available theoretical models do not accurately describe the suppression of thermally induced magnetic disorder at around room temperature in high magnetic fields.
Insight into the dynamics of second-grade fluid subject to inclined magnetic force, newtonian heating, slip flow, and prabhakar-like fractional kind of newtonian heating
Authors: Guedri Kamel , Raza Ali , Khan Sami Ullah , Khan M. Ijaz , Smida Kamel , Kumar R. Naveen , Galal Ahmed M.
Published: July 2022

Sequel to the significance of the dynamics of second-grade fluid in the industry, nothing is known on the increasing inclined magnetic force, Newtonian heating, slip flow and Prabhakar-like fractional kind of Newtonian heating. In this study, the novel modified and efficient fractional approach, namely, the Prabhakar fractional technique is applied on an unsteady flow of second-grade liquid flowing on an inclined oscillating plate. The flowing fluid is moving under the effects of an applied inclined magnetic field, furthermore, the Newtonian heating effect and slip on the boundaries of the wall are also considered in the boundary conditions. After nondimensionalizing the governing equations, the solution of coupled equations is attained with the help of integral transform i.e., Laplace transformation method, and some numerical approaches are also applied for the Laplace inverse. The results convey that the momentum field decrease with increase in fractional constraints. The thermal change exhibits a declining tendency for increased values of fractional parameters. Furthermore, in comparison of velocity field attained by our applied fractional system with the existing literature, the curves of both Stehfest and Tzou’s methods overlay with each other which signifies the validity of our attained outcomes of momentum profile.
A novel fractional-order chaotic system and its synchronization circuit realization
Authors: Yang Ningning , Yang Shuo , Wu Chaojun
Published: July 2022

In this paper, a novel four-dimensional fractional-order chaotic system is proposed, and its dynamic characteristics are analyzed by equilibrium points, phase diagram, Lyapunov exponent spectrum and bifurcation diagram. Then, the electronic circuit of the chaotic system is designed and implemented by PSpice. The results of numerical simulation are in good agreement with the analog circuit simulation. In addition, the four-dimensional fractional-order system is implemented with field programmable gate array (FPGA). Finally, the synchronization of two four-dimensional chaotic systems with different initial values is realized by finite time control method, and it is also realized by FPGA. The design of fractional-order system based on hardware concerned in this paper will provide a certain theoretical basis for its application in the fields of secure communication, image encryption and so on.
Planar Rotational Equilibria of Two Nonidentical Microswimmers
Authors: Mottammal Prajitha , Thampi Sumesh P. , Pototsky Andrey
Published: July 2022

We derive a closed analytical form of planar rotational equilibria that exist in the three-dimensional motion of two hydrodynamically coupled nonidentical microswimmers, each modeled as a force dipole with intrinsic self-propulsion. Using the method of images for zero Reynolds number flows near interfaces, we demonstrate that our results remain equally applicable at a stress-free liquid–gas interface as in the bulk of a fluid. For a pair of two pullers and a pair of two pushers the linear stability of the equilibria is analyzed with respect to two- and three-dimensional perturbations. A universal stability diagram of the orbits with respect to two-dimensional perturbations is constructed and it is shown that two nonidentical pushers or two nonidentical pullers moving at a stress-free interface may form a stable rotational equilibrium. For two nonidentical pullers we find stable quasi-periodic localized states, associated with the motion on a two-dimensional torus in the phase space. Stable tori are born from the circular periodic orbits as the result of a torus bifurcation. All stable equilibria in two dimensions are shown to be monotonically unstable with respect to three-dimensional perturbations.
Dynamical Analysis of a Melanoma Model with Immune Response
Authors: Dai Qinrui , Duan Daifeng , Guo Yuxiao
Published: July 2022

In this paper, we study the stability and bifurcation behavior of a three-dimensional melanoma model with immune response. The system has at least one and at most three positive equilibria. It is proved that the system undergoes Hopf bifurcation and saddle-node bifurcation at the positive equilibrium. We investigate the direction of Hopf bifurcation and stability of the bifurcating periodic solution by center manifold theorem and normal form theory. Moreover, codimension two bifurcations of the system are analyzed. We demonstrate the existence of Bautin bifurcation and Bogdanov–Takens bifurcation of the system. The normal form of Bautin bifurcation and Bogdanov–Takens bifurcation are given. Finally, some numerical simulations are demonstrated to support our theoretical results, and the importance of some parameters of the system is discussed, in particular the activation rate of CD8[Formula: see text]T cells.
GENERALIZED VARIATIONAL PRINCIPLES AND NEW ABUNDANT WAVE STRUCTURES OF THE FRACTAL COUPLED BOUSSINESQ EQUATION
Authors: WANG KANG-JIA , WANG GUO-DONG , SHI FENG , ZHU HONG-WEI
Published: July 2022

The coupled Boussinesq equation (CBE) acts a key role in modeling the shallow water waves of two-layer fluid flow. However, it becomes powerless for the nonsmooth boundary. So, a fractal modification of the CBE is suggested in this paper. Aided by the semi-inverse method, we successfully construct its fractal generalized variational principle. In addition, three recent techniques, namely, the Sardar-subequation method, He’s frequency formulation method and subequation method, combined with the two-scale fractal dimension transform, are utilized to find abundant wave solutions. By these methods, various solutions expressed by the generalized hyperbolic functions, generalized trigonometric functions, hyperbolic functions and cosine function are obtained. With the aid of the mathematical software, the three-dimensional contours and two-dimensional curves are plotted to present the dynamic behaviors of the solutions. The results in this paper demonstrate that the proposed methods are powerful and effective to construct the traveling wave solutions of the fractal nonlinear evolution equations.
Women Entrepreneurs in Saudi Arabia: A Portrait of Progress in the Context of Their Drivers and Inhibitors
Authors: Alreshoodi Saleh Abdullah , Rehman Anis Ur , Alshammari Serhan Abdullah , Khan Tahreem Noor , Moid Sana
Published: July 2022

This study explores the barriers and challenges faced by Saudi women entrepreneurs along with the motivational forces that drives them towards entrepreneurship. This study employs a qualitative research design, and is based on the interview of 11 Saudi women entrepreneurs and includes a review of data on the motivational factors and challenges faced by them using interpretative phenomenological analysis. Research participants’ perspectives have been quoted for each distinct theme that emerged from the interview finding. The factors motivating Saudi women towards entrepreneurship have been identified as passion, identification of opportunity, dissatisfaction and family support. Barriers that are exclusive to Saudi women entrepreneurs are difficulty in maintaining work-life balance, lack of business networking, limited access to financial resources, lack of understanding of business-related tasks and functions, fear of deception, lack of trust, reservation about work-related travel, recruitment and training issues like lack of experienced and trained Saudi workers and negative attitude and non-willingness to work under female leadership. Decision-makers in government and other relevant organisations can develop a solid framework of focussed agendas, policies and measures to address the barriers identified in this study. Arab countries especially Saudi Arabia can use these results to fully utilise the entrepreneurial skills of Saudi women to boost economic growth and development. This pioneering study reveals the intricacy of Saudi women entrepreneurs’ experiences in the presence of gender-bias and internalising socio-cultural values and attributed gender roles during the formation of their entrepreneurial identities through a unique non-western viewpoint.
Four-dimensional closed manifolds admit a weak harmonic Weyl metric
Authors: Catino Giovanni , Mastrolia Paolo , Monticelli Dario D. , Punzo Fabio
Published: July 2022

On four-dimensional closed manifolds we introduce a class of canonical Riemannian metrics, that we call weak harmonic Weyl metrics, defined as critical points in the conformal class of a quadratic functional involving the norm of the divergence of the Weyl tensor. This class includes Einstein and, more in general, harmonic Weyl manifolds. We prove that every closed four-manifold admits a weak harmonic Weyl metric, which is the unique (up to dilations) minimizer of the corresponding functional in a suitable conformal class. In general the problem is degenerate elliptic due to possible vanishing of the Weyl tensor. In order to overcome this issue, we minimize the functional in the conformal class determined by a reference metric, constructed by Aubin, with nowhere vanishing Weyl tensor. Moreover, we show that anti-self-dual metrics with positive Yamabe invariant can be characterized by pinching conditions involving suitable quadratic Riemannian functionals.
The Role of Technology in Predicting Business Analytics Adoption in SMEs
Authors: Atan Mislina , Mahmood Rosli
Published: July 2022

Research shows that data-driven decision making using business analytics can create competitive advantages for organisations. However, this can only happen if the organisations successfully accept and use the business analytics effectively. Many studies reported business analytics implementation in large organisations, and fewer studies focus on Small and Medium Enterprises (SMEs). Furthermore, SMEs are scoring lower scores in technology absorption. Therefore, it is essential to examine the business analytics adoption among SMEs. Previous research has reported that relative advantage and compatibility were the most highlighted factors under the technology dimension in adopting innovative technologies. However, the literature reported inconsistent findings on the significance of relative advantage and compatibility in adopting various technologies. Therefore, this research conducted a quantitative survey-based study to examine the significance of relative advantage and compatibility in predicting business analytics adoption among SMEs. The sample was selected using systematic random sampling from a Malaysian national entrepreneurs database. There were 241 SMEs that responded to the online survey sent by email. The analysis using the partial least squares structural equation modelling (PLS-SEM) informed that relative advantage was significantly related to business analytics adoption; however, compatibility did not influence the business analytics adoption by SMEs in Malaysia. This finding shows that the better the relative advantage of business analytics SMEs know, the higher the possibility of adoption. In addition, less compatibility of the SMEs in Malaysia hindered the business analytics adoption. This study contributes to the theoretical aspect, which statistically informed the finding out of inconsistent gaps in technology adoption. Furthermore, this study also contributes to the practical aspect, in which managers, owners, vendors, and policy-makers can use these findings to spur and facilitate business analytics adoption among SMEs in developing countries.
Estimation of block sparsity in compressive sensing
Authors: Zhou Zhiyong , Yu Jun
Published: July 2022

Explicitly using the block structure of the unknown signal can achieve better reconstruction performance in compressive sensing. An unknown signal with block structure can be accurately recovered from under-determined linear measurements provided that it is sufficiently block sparse. However, in practice, the block sparsity level is typically unknown. In this paper, we propose a soft measure of block sparsity [Formula: see text] with [Formula: see text], and present a procedure to estimate it by using multivariate centered isotropic symmetric [Formula: see text]-stable random projections. The limiting distribution of the estimator is given. Simulations are conducted to illustrate our theoretical results.
Margenau–Hill operator valued measures and joint measurability
Authors: Vasudevrao Seeta , Karthik H. S. , Reena I. , Sudha  , Usha Devi A. R.
Published: July 2022

We employ the Margenau–Hill (MH) correspondence rule for associating classical functions with quantum operators to construct quasi-probability mass functions. Using this we obtain the fuzzy one parameter quasi measurement operator (QMO) characterizing the incompatibility of noncommuting spin observables of qubits, qutrits and 2-qubit systems. Positivity of the fuzzy MH-QMO places upper bounds on the associated unsharpness parameter. This serves as a sufficient condition for measurement incompatibility of spin observables. We assess the amount of unsharpness required for joint measurability (compatibility) of the noncommuting qubit, qutrit and 2-qubit observables. We show that the degree of compatibility of a pair of orthogonal qubit observables agrees perfectly with the necessary and sufficient conditions for joint measurability. Furthermore, we obtain analytical upper bounds on the unsharpness parameter specifying the range of joint measurability of spin components of qutrits and pairs of orthogonal spin observables of a 2-qubit system. Our results indicate that the measurement incompatibility of spin observables increases with Hilbert space dimension.
Threshold dynamics of a cooperation–diffusion–advection model in open advective environments
Authors: Liu Qinglan , Zhang Guohong , Wang Xiaoli
Published: July 2022

This paper is concerned with a Lotka–Volterra cooperation–reaction–diffusion–advection model in open advective environments. It is found that there are two critical advection rates, which classify the dynamic behavior of this system into three different scenarios, namely, (i) both species go extinct; (ii) one species survives in the long run, the other goes extinct and (iii) both species can persistently survive. The theoretical results provide some interesting highlights in ecological protection in streams and rivers.
A Graph-Based Topic Modeling Approach to Detection of Irrelevant Citations
Authors: Pham Phu , Le Hieu , Tam Nguyen Thanh , Tran Quang-Dieu
Published: July 2022

In the recent years, the academic paper influence analysis has been widely studied due to its potential applications in the multiple areas of science information metric and retrieval. By identifying the academic influence of papers, authors, etc., we can directly support researchers to easily reach academic papers. These recommended candidate papers are not only highly relevant with their desired research topics but also highly-attended by the research community within these topics. For very recent years, the rapid developments of academic networks, like Google Scholar, Research Gate, CiteSeerX, etc., have significantly boosted the number of new published papers annually. It also helps to strengthen the borderless cooperation between researchers who are interested on the same research topics. However, these current academic networks still lack the capabilities of provisioning researchers deeper into most-influenced papers. They also largely ignore quite/irrelevant papers, which are not fully related with their current interest topics. Moreover, the distributions of topics within these academic papers are considered as varying and it is difficult to extract the main concentrated topics in these papers. Thus, it leads to challenges for researchers to find their appropriated/high-qualified reference resources while doing researches. To overcome this limitation, in this paper, we proposed a novel approach of paper influence analysis through their content-based and citation relationship-based analyses within the biographical network. In order to effectively extract the topic-based relevance from papers, we apply the integrated graph-based citation relationship analysis with topic modeling approach to automatically learn the distributions of keyword-based labeled topics in forms of unsupervised learning approach, named as TopCite. Then, we base on the constructed graph-based paper–topic structure to identify their relevancy levels. Upon the identified relevancy levels between papers, we can support for improving the accuracy performance of other bibliographic network mining tasks, such as paper similarity measurement, recommendation, etc. Extensive experiments in real-world AMiner bibliographic dataset demonstrate the effectiveness of our proposed ideas in this paper.
Social Performance: A Vital Turning Point for Better Hospital Care in Indonesia
Authors: Layman Chrisanty V. , Sasmoko  , Hamsal Mohammad , Lim Sanny
Published: July 2022

COVID-19 refocused the importance of social responsibility awareness and social performance measurement of health care. Hospitals must carry out social accountability behaviors while still providing adequate facilities and services. However, any analysis of social performance still contains many ambiguities and can differ in its reference points depending on the nature of the different stakeholders. The study uses an explanatory study to measure the social performance of hospitals in Indonesia and examine the indicators and dimensions that influence social performance in hospitals the most. Data of 752 accredited hospitals were obtained from the Indonesian Commission on Accreditation of Hospital (ICAHO) in Indonesia. Data analysis was conducted using Structural Equation Model (SEM) methodology and SPSS AMOS software. The study found a significant and positive effect of environmental forces and information technology resources on social performance. Further, the study found that intrapreneurship (entrepreneurship efforts within established institutions) in hospitals mediated the effects of organizational architecture, environment forces, and information technology toward/in favor of social performance. This study contributes to improving the quality healthcare by demonstrating novelty for how social performance can be measured and better efforts adopted to produce more social value-based healthcare through the use of organizational architecture, environmental forces, and information technology.
Maturity Assessment of Industry 4.0 Implementation in Kazakhstani and Norwegian Oil and Gas Contexts
Authors: Beisekenov Ildar , Suleiman Zhanybek , Tokbergenova Akmaral , Shaikholla Sabit , Dikhanbayeva Dinara , El-Thalji Idriss , Emiris Dimitrios , Turkyilmaz Ali
Published: July 2022

The present industrial revolution in modern history, called Industry 4.0, completely changes the vision and processes of modern production and makes it more efficient, high quality, and potentially more profitable. The spreading of Industry 4.0 across all industries did not leave behind the oil and gas sector. More developed countries such as Norway, where the oil and gas industry plays a crucial role, have already initiated Industry 4.0 transformation and progressing toward achieving higher maturity levels. At the same time, developing countries such as Kazakhstan, where the oil and gas sector is also one of the most important industries, make their initial attempts towards Industry 4.0 but in a more cut-rate way. Therefore, this study aimed to conduct a maturity assessment of the oil and gas sectors of two countries, through a new Industry 4.0 readiness assessment model (RAM), developed exclusively for oil and gas companies. As a result, the model helped to identify the current maturity level of enterprises, strengths and weaknesses, and pinpoint country-specific patterns. Although the research focuses primarily on the upstream sector, the developed model and research results can also be extended to address the needs of the midstream and downstream sectors.
Storage State Analysis and Extraction of Ethereum Blockchain Smart Contracts
Authors: Ayub Maha , Saleem Tania , Janjua Muhammad , Ahmad Talha
Published: July 2022

In migrating and upgrading an Ethereum smart contract, it is necessary to transfer both the code as well as the stored data. Various methods attempt to migrate or upgrade a smart contract, but they are mostly manual, error-prone, and applicable only before deployment. Further, they have challenges in extracting the storage state of complex mapping data structures along with their keys. In this work, we present
Smartmuv
as an automatic source-code-based static analysis tool to analyze and extract the state from the storage-trie of smart contracts. Based on the abstract syntax tree and the control flow graphs of the Solidity source code, the tool analyzes each state variable including mapping types along the inheritance hierarchy. It also provides the upgrade algorithm that initializes the extracted state in the constructor of new smart contract. Smartmuv safely approximates the origin of the keys used in the mapping to extract values and has been able to extract the mapping state of 23,673 smart contracts with 95.7% overall precision. Moreover, we also validate the Smartmuv’s extracted state with the third-party tool Etherscan.
Systematic Literature Review on Parallel Trajectory-based Metaheuristics
Authors: Almeida André Luís Barroso , Lima Joubert de Castro , Carvalho Marco Antonio M.
Published: July 2022

In the past 35 years, parallel computing has drawn increasing interest from the academic community, especially in solving complex optimization problems that require large amounts of computational power. The use of parallel (multi-core and distributed) architectures is a natural and effective alternative to speeding up search methods, such as metaheuristics, and to enhancing the quality of the solutions. This survey focuses particularly on studies that adopt high-performance computing techniques to design, implement, and experiment trajectory-based metaheuristics, which pose a great challenge to high-performance computing and represent a large gap in the operations research literature. We outline the contributions from 1987 to the present, and the result is a complete overview of the current state-of-the-art with respect to multi-core and distributed trajectory-based metaheuristics. Basic notions of high-performance computing are introduced, and different taxonomies for multi-core and distributed architectures and metaheuristics are reviewed. A comprehensive list of 127 publications is summarized and classified according to taxonomies and application types. Furthermore, past and future trends are indicated, and open research gaps are identified.
Monocular Vision-aided Depth Measurement from RGB Images for Autonomous UAV Navigation
Authors: Padhy Ram Prasad , Sa Pankaj Kumar , Narducci Fabio , Bisogni Carmen , Bakshi Sambit
Published: July 2022

Monocular vision-based 3D scene understanding has been an integral part of many machine vision applications. Always, the objective is to measure the depth using a single RGB camera, which is at par with the depth cameras. In this regard, monocular vision-guided autonomous navigation of robots is rapidly gaining popularity among the research community. We propose an effective monocular vision-assisted method to measure the depth of an Unmanned Aerial Vehicle (UAV) from an impending frontal obstacle. This is followed by collision-free navigation in unknown GPS-denied environments. Our approach deals upon the fundamental principle of perspective vision that the size of an object relative to its field of view (FoV) increases as the center of projection moves closer towards the object. Our contribution involves modeling the depth followed by its realization through scale-invariant SURF features. Noisy depth measurements arising due to external wind, or the turbulence in the UAV, are rectified by employing a constant velocity-based Kalman filter model. Necessary control commands are then designed based on the rectified depth value to avoid the obstacle before collision. Rigorous experiments with SURF scale-invariant features reveal an overall accuracy of 88.6% with varying obstacles, in both indoor and outdoor environments.
Data Science Through the Looking Glass
Authors: Psallidas Fotis , Zhu Yiwen , Karlas Bojan , Henkel Jordan , Interlandi Matteo , Krishnan Subru , Kroth Brian , Emani Venkatesh , Wu Wentao , Zhang Ce , Weimer Markus , Floratou Avrilia , Curino Carlo , Karanasos Konstantinos
Published: July 2022

The recent success of machine learning (ML) has led to an explosive growth of systems and applications built by an ever-growing community of system builders and data science (DS) practitioners. This quickly shifting panorama, however, is challenging for system builders and practitioners alike to follow. In this paper, we set out to capture this panorama through a wide-angle lens, performing the largest analysis of DS projects to date, focusing on questions that can advance our understanding of the field and determine investments. Specifically, we download and analyze (a) over 8M notebooks publicly available on GITHUB and (b) over 2M enterprise ML pipelines developed within Microsoft. Our analysis includes coarse-grained statistical characterizations, finegrained analysis of libraries and pipelines, and comparative studies across datasets and time. We report a large number of measurements for our readers to interpret and draw actionable conclusions on (a) what system builders should focus on to better serve practitioners and (b) what technologies should practitioners rely on.
Diversity and Inclusion Activities in Database Conferences
Authors: Amer-Yahia Sihem , Amsterdamer Yael , Bhowmick Sourav S. , Bonifati Angela , Bonnet Philippe , Borovica-Gajic Renata , Catania Barbara , Cerquitelli Tania , Chiusano Silvia , Chrysanthis Panos K. , Curino Carlo , Darmont Jérôme , El Abbadi Amr , Floratou Avrilia , Freire Juliana , Jindal Alekh , Kalogeraki Vana , Koutrika Georgia , Kumar Arun , Maiyya Sujaya , Meliou Alexandra , Mohanty Madhulika , Naumann Felix , Noack Nele Sina , Özcan Fatma , Peterfreund Liat , Rahayu Wenny , Tan Wang-Chiew , Tian Yuanyuan , Tözün Pinar , Vargas-Solar Genoveva , Yadwadkar Neeraja , Zhang Meihui
Published: July 2022

Diversity and Inclusion (D&I) are core to fostering innovative thinking. Existing theories demonstrate that to facilitate inclusion, multiple types of exclusionary dynamics, such as self-segregation, communication apprehension, and stereotyping and stigmatizing, must be overcome [11]. A diverse group of people tends to surface different perspectives, which help to understand and address D&I. Fostering D&I in research communities must address issues related to inclusive interpersonal and small group dynamics, rules and codes of conduct, increasing diversity in under-represented groups and disciplines, and organizing D&I events, and longterm efforts to champion change [15].
Rethinking Indigeneity: Scholarship at the Intersection of Native American Studies and Anthropology
Authors: Cattelino Jessica R. , Simpson Audra
Published: July 2022

The twenty-first century has witnessed a surge of scholarship at the sometimes-perilously sharp edge of anthropology and Native American and Indigenous studies. This review sets forth from a disciplinary conjuncture of the early 2000s, when anthropology newly engaged with the topic of sovereignty, which had long been the focus of American Indian studies, and when the long-standing anthropological interest in colonialism was reshaped by Indigenous studies attention to the distinctive form labeled settler colonialism. Scholars working at this edge address political relationality as both concept and methodology. Anthropologists, in turn, have contributed to Indigenous studies a commitment to territorially grounded and community-based research and theory building. After outlining the conjuncture and its methodological entailments, the review turns to two directions in scholarship: reinvigorated ethnographic research on environment and on culture and economy. It concludes with reflection on the implications of this conjuncture for anthropological epistemology and disciplinary formation.
Gate Breakdown Analysis of Schottky p-GaN gate HEMTs under High Positive Gate Bias
Authors: Qin Zhen-Wei , Chen Wei-Chia , Lo Hao-Hsuan , Hsin Yue-Ming
Published: July 2022

This study investigates the gate degradation mechanisms of Schottky p-GaN gate HEMTs systemically. The constant gate bias stress is applied to investigate the gate breakdown. Schottky p-GaN Gate HEMTs show a shorter gate lifetime as gate bias increases. The gate leakage current after gate breakdown shows a resistance-like characteristic. The equivalent circuit has been proposed to discuss the gate breakdown mechanisms. When applying a high gate bias for a long time, the high electric field will damage the p-GaN gate and passivation interface and generate the percolation path. The primary gate breakdown happens between the gate and source and results in a resistance-like I–V characteristic.
Intratumoral IL-28B Gene Delivery Elicits Antitumor Effects by Remodeling of the Tumor Microenvironment in H22-Bearing Mice
Authors: Li Zhi , Wang Jianghua , Chen Chong , He Qi , Xu Xiaoying , Da Zejiao , Wang Bo , Wang Meng , Gao Xiaotong , Zhang Guochao , Gao Qi , Si Xiaoli , Luo Yanping , Ma Xingming
Published: July 2022

IL-28B, belonging to type III interferons (IFN-λs), exhibits a potent antitumor activity with reduced regulated T cells (Tregs) population, yet the effect of IL-28B on the tumor microenvironment (TME) and if IL-28B can downregulate Tregs directly in vitro are still unknown. In this study, we investigated the effects of IL-28B on Tregs in the spleen and TME in H22 tumor-bearing mice and verified the downregulation of IL-28B on Tregs in vitro. We found that rAd-mIL-28B significantly inhibited tumor growth and reduced the frequency of splenic CD4+Foxp3+ T cells. The levels of CXCL13, ICAM-1, MCP-5, and IL-7 in the serum, and the levels of IL-15 and sFasL in the tumor tissue decreased significantly after rAd-mIL-28B treatment relative to rAd-EGFP. Furthermore, the percentage of CD8+ cells in the TME was significantly increased in the rAd-mIL-28B group compared with the untreated group. In vitro, splenocytes were stimulated with anti-CD3/CD28 and IL-2 in the presence of TGF-β with or without IL-28B for three days and followed by flow cytometric, RT-PCR, and IL-10 production analysis. The results showed that IL-28B significantly reduced the proportion of induced Foxp3+ cells. It demonstrated that IL-28B may be used as a promising immunotherapy strategy against cancer.
Application of Wireless Sensor Network Model Based on Big Data Ecosystem in Intelligent Health Monitoring System
Authors: Tu Jiaqing
Published: July 2022

With the continuous enhancement of people’s health awareness, the awareness of disease prevention began to improve, and the demand for intelligent health status monitoring is also increasing. At present, the health status monitoring mostly depends on hospital equipment, which has high cost and cannot realize remote analysis. Based on this, this paper studies and analyzes the application of wireless sensor network model based on big data ecosystem in intelligent health monitoring. ZigBee protocol is used to realize data transmission, wireless sensor is used to monitor human body temperature, heart rate, blood oxygen saturation, and other physiological indicators, human posture monitoring algorithm is used to monitor posture changes, which is combined with human physiological parameter information, and the long-term and short-term memory model is used to effectively use the time sequence information of data to realize the functions of physiological parameter measurement, wireless positioning, and information fusion. An experiment was designed to test the accuracy of the health monitoring system. The results show that the wireless sensor retention model can meet the design requirements in terms of the monitoring accuracy of body temperature, heart rate, and blood oxygen saturation index in intelligent health monitoring, with low cost and can be combined with human dynamic information.