bluuebunny/crossref_metadata_2025 huggingface dataset:
Indices of complement activation and coagulation changes in trauma patients
Authors: Yang Zhangsheng , Simovic Milomir O , Liu Bin , Burgess Matthew B , Cap Andrew P , DalleLucca Jurandir J , Li Yansong
Published: September 2022

Objectives

Early complementopathy and coagulopathy are shown often after trauma. However, the prevalence of any interplay between complement cascade (ComC) and coagulation cascade (CoaC) after trauma remains unclear. This study intended to explore whether complement-coagulation crosstalk exists, which may provide a reliable guide to clinical implications in trauma patients.

Methods

This single-center cohort study of trauma patients enrolled 100 patients along with 20 healthy volunteers. Blood samples from patients were collected at admission, 45, 90, 135 minutes, and 18 hours after admission. Demographic characteristics were recorded, blood levels of ComC and CoaC factors, and inflammatory cytokines were measured by ELISA, clot-based assays, or luminex multiplex assay, and partial thromboplastin (PT) and partial thromboplastin time (PTT) were assessed using a Behring blood coagulation system.

Results

Compared with the healthy controls, plasma levels of complement factors (C5b-9 and Bb) and 11 tested inflammatory cytokines increased in moderately and severely injured patients as early as 45 minutes after admission and sustained higher levels up to 18 hours after admission. C5b-9 correlated positively to patients’ hospital stay. In parallel, the consumption of coagulation factors I, II, X, and XIII was shown throughout the first 18 hours after admission in moderately and severely injured patients, whereas PT, PTT, D-dimer, factor VII, and factor VIII values significantly increased from the admission to 135 minutes in moderately and severely injured patients. Along with an inverse correlation between plasma Bb, factors I and II, a positive correlation between C5b-9, Bb, D-dimer, PT, and PTT was evident.

Conclusions

This study demonstrates trauma-induced early activation of plasma cascades including ComC, CoaC, and fibrinolytic cascade, and their correlation between plasma cascades in severe trauma patients. Our study suggests that the simultaneous modulation of plasma cascades might benefit clinical outcomes for trauma patients.

Level of evidence

Prospective study, level III.
miR-181a-5p is a potential candidate epigenetic biomarker in multiple sclerosis
Authors: Edgünlü Tuba Gökdoğan , Yılmaz Şenay Görücü , Emre Ufuk , Taşdelen Bahar , Kuru Oktay , Kutlu Gülnihal , Erdal Mehmet Emin
Published: September 2022

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS) characterized by demyelination and axonal degeneration. Abnormal expression of microRNAs (miRNAs) plays an important role in MS pathology. In this cohort study, differential expression of the four miRNAs ( hsa-miR-155-5p,  hsa-miR-9-5p,  hsa-miR-181a-5p, and hsa-miR-125b-5p) was investigated in 69 individuals, including 39 MS patients (relapsing-remitting MS (RRMS), n = 27; secondary progressive MS (SPMS), n = 12) and 30 healthy controls. In silico analyses revealed possible genes and pathways specific to miRNAs. Peripheral blood miRNA expressions were detected by quantitative real-time PCR (qPCR). hsa-miR-181a-5p was downregulated and associated with increased MS risk ( P = 0.012). The other three miRNAs were upregulated and not associated with MS ( P < 0.05). The area under the curve (AUC) is 0.779. In silico analyses showed that hsa-miR-181a-5p may participate in MS pathology by targeting MAP2K1,  CREB1,  ATXN1, and ATXN3 genes in inflammation and neurodegeneration pathways. The circulatory hsa-miR-181a-5p can regulate target genes, reversing the mechanisms involved in MS pathologies such as protein uptake and processing, cell proliferation and survival, inflammation, and neurodegeneration. Thus, this miRNA could be used as an epigenomic-guided diagnostic tool and for therapeutic purpose.
Extremal Khovanov homology and the girth of a knot
Authors: Sazdanović Radmila , Scofield Daniel
Published: September 2022

We show that Khovanov link homology is trivial in a range of gradings and utilize relations between Khovanov and chromatic graph homology to determine extreme Khovanov groups and corresponding coefficients of the Jones polynomial. The extent to which chromatic homology and the chromatic polynomial can be used to compute integral Khovanov homology of a link depends on the maximal girth of its all-positive graphs. In this paper, we define the girth of a link, discuss relations to other knot invariants, and describe possible values for girth. Analyzing girth leads to a description of possible all-A state graphs of any given link; e.g., if a link has a diagram such that the girth of the corresponding all-A graph is equal to [Formula: see text], then the girth of the link is equal to [Formula: see text]
Minimal generating sets of moves for diagrams of isotopic knots and spatial trivalent graphs
Authors: Caprau Carmen , Scott Bradley
Published: September 2022

Polyak proved that all oriented versions of Reidemeister moves for knot and link diagrams can be generated by a set of just four oriented Reidemeister moves, and that no fewer than four oriented Reidemeister moves generate them all. We refer to a set containing four oriented Reidemeister moves that collectively generate all of the other oriented Reidemeister moves as a minimal generating set. Polyak also proved that a certain set containing two Reidemeister moves of type 1, one move of type 2 and one move of type 3 form a minimal generating set for all oriented Reidemeister moves. We expand upon Polyak’s work by providing an additional eleven minimal, 4-element, generating sets of oriented Reidemeister moves, and we prove that these 12 sets represent all possible minimal generating sets of oriented Reidemeister moves. We also consider the Reidemeister-type moves that relate oriented spatial trivalent graph diagrams with trivalent vertices that are sources and sinks and prove that a minimal generating set of oriented Reidemeister-type moves for spatial trivalent graph diagrams contains 10 moves.
Exploring existence of traversable wormhole solutions in the presence of some corrected Casimir energy models
Authors: Jawad Abdul , ur Rehman Ubaid , Rani Shamaila , Övgün Ali
Published: September 2022

In this paper, we explore the wormhole solutions (which are initially proposed by R. Garattini [Eur. Phys. J. C 79 (2019) 951] who take generalized uncertainty principle (GUP) with Casimir energy) in the framework of two well-known dark energy (DE) models, generalized Chaplygin gas (GCG) and polytropic gas. We consider the GUP corrected pressure (force per unit surface area) in the equation of state (EoS) of these DE models to construct the GCG corrected energy density and polytropic gas corrected energy density. Three models of redshift function are taken into account to construct shape function as well as wormhole geometry for both cases of corrected energy densities. We find the behavior of EoS parameters, redshift function for isotropic and anisotropic fluid, equilibrium conditions, null energy condition and exotic volume at the throat of the wormhole with radius [Formula: see text].
The Impact of Demographic Aging on the Investing Behavior: The Case of Taiwan Stock Market
Authors: Cheng Ming-Chang , Lee Chien-Chi
Published: September 2022

Demographic transition has already become a major issue in the recent decades. Lower fertility rate and higher expected life length result in population aging. Most developed countries face social problems due to demographic transitions, especially in the economic and financial field. To take a closer look at this phenomenon, this paper screened 99 stocks provided by Taiwan Stock Exchange (TSE) to explore the impact of population aging on the stock market in Taiwan. Population aging indirectly takes up a larger portion of elder investors in the stock market, compared to the past. This paper employed risk and return variables to analyze the investors’ behaviors in Taiwan stock market. We divided our samples into whole industry, financial industry, technology industry, and traditional industry groups to find the impact of investors aging among different industries. The results showed that there is no significant evidence to prove that the elder investors pursue lower risk stocks in Taiwan stock market, which is inconsistent with the results of the past research. On the other hand, the findings from the whole industry, technology industry, and traditional industry groups are different from the past research results, showing that Taiwan’s elderly investors prefer stocks with higher return in those industries.
The Role of Managerial Ability in Supply Chain Management
Authors: Yan Yan
Published: September 2022

This study investigates whether supplier firms’ managerial ability affects their strategic decisions in supply chain management. Previous research documents that suppliers could collaborate with or be exploited by powerful major customers. I expect that suppliers with high-ability managers are perceived to be with more favorable future prospects to fulfill contractual obligations and thus possess stronger bargaining power. As a result, these suppliers could resist rent extraction from major customers and achieve supply chain collaboration, making it beneficial for them to operate with a concentrated customer base. Using a comprehensive sample of supply chain links, I hypothesize and find a positive association between managerial ability and customer concentration. I also find that suppliers with more able managers are more likely to continue their existing supply chain relationships. This paper extends the implications of managerial ability to the supply chain setting and adds to the understanding of collaboration/competition between suppliers and customers.
The Association between Financial Activities and Self-Rated Health in Middle-Aged and Older Adults
Authors: Li Yueh-Ping , Huang Hua-Wei , Yang Ya-Chih
Published: September 2022

The extant literature has provided a lot of evidence that supports positive associations between participation in activities and health. However, the health effects of high or low risk financial activities (FAs) are presently ambiguous, especially across age groups. With a sample of 313 subjects in Taiwan, this study examines whether participation in high or low risk FAs (savings, stocks, mutual funds, and real estate) benefits self-rated health (SRH) in middle-aged and older adults. We find that (1) savings rates are consistently high for both middle-aged and older cohorts. However, middle-aged adult participation rate in FAs, in terms of stocks, mutual funds and real estate, is higher than that for older adults. (2) High risk FAs, especially stock investments, have a positive effect on SRH in middle-aged adults.
Nilpotency of skew braces and multipermutation solutions of the Yang–Baxter equation
Authors: Jespers E. , Van Antwerpen A. , Vendramin L.
Published: September 2022

We study relations between different notions of nilpotency in the context of skew braces and applications to the structure of solutions to the Yang–Baxter equation. In particular, we consider annihilator nilpotent skew braces, an important class that turns out to be a brace-theoretic analog to the class of nilpotent groups. In this vein, several well-known theorems in group theory are proved in the more general setting of skew braces.
Relative order and spectrum in free and related groups
Authors: Delgado Jordi , Ventura Enric , Zakharov Alexander
Published: September 2022

We consider a natural generalization of the concept of order of an element in a group [Formula: see text]: an element [Formula: see text] is said to have order [Formula: see text] in a subgroup [Formula: see text] (respectively, in a coset [Formula: see text]) of [Formula: see text] if [Formula: see text] is the first strictly positive integer such that [Formula: see text] (respectively, [Formula: see text]). We study this notion and its algorithmic properties in the realm of free groups and some related families.

Both positive and negative (algorithmic) results emerge in this setting. On the positive side, among other results, we prove that the order of elements, the set of orders (called spectrum), and the set of preorders (i.e. the set of elements of a given order) with respect to finitely generated subgroups are always computable in free and free times free-abelian groups. On the negative side, we provide examples of groups and subgroups having essentially any subset of natural numbers as relative spectrum; in particular, non-recursive and even not computably enumerable sets of natural numbers. Also, we take advantage of Mikhailova’s construction to see that the spectrum membership problem is unsolvable for direct products of nonabelian free groups.
Pure-direct-projective modules
Authors: Alizade Rafail , Toksoy Sultan Eylem
Published: September 2022

In this paper, we introduce and study the pure-direct-projective modules, that is the modules [Formula: see text] every pure submodule [Formula: see text] of which with [Formula: see text] isomorphic to a direct summand of [Formula: see text] is a direct summand of [Formula: see text]. We characterize rings over which every right [Formula: see text]-module is pure-direct-projective. We examine for which rings or under what conditions pure-direct-projective right [Formula: see text]-modules are direct-projective, projective, quasi-projective, pure-projective, flat or injective. We prove that over a Noetherian ring every injective module is pure-direct-projective and a right hereditary ring [Formula: see text] is right Noetherian if and only if every injective right [Formula: see text]-module is pure-direct-projective. We obtain some properties of pure-direct-projective right [Formula: see text]-modules which have [Formula: see text] and [Formula: see text].
Auslander–Reiten conjecture of the tilting theorem
Authors: Fallah Ali Mahin
Published: September 2022

Let [Formula: see text] be a Noetherian algebra and [Formula: see text]-[Formula: see text] be an [Formula: see text]-tilting module with [Formula: see text]. Then [Formula: see text] satisfies Auslander–Reiten conjecture if and only if so does [Formula: see text]. As a consequence, we obtain that Auslander–Reiten conjecture is left and right symmetric for a certain Noetherian algebra.
On σ-inductive lattices of n-multiply σ-local formations of finite groups
Authors: Safonova Inna N.
Published: September 2022

Throughout this paper, all groups are finite and [Formula: see text] always denotes a group. Let [Formula: see text] be some partition of the set of all primes [Formula: see text], [Formula: see text] be a class of groups, [Formula: see text], and [Formula: see text] A function [Formula: see text] of the form [Formula: see text] is called a formation [Formula: see text]-function. For any formation [Formula: see text]-function [Formula: see text] the class [Formula: see text] is defined as follows: [Formula: see text] If for some formation [Formula: see text]-function [Formula: see text] we have [Formula: see text] then the class [Formula: see text] is called [Formula: see text]-local and [Formula: see text] is called a [Formula: see text]-local definition of [Formula: see text] If, in addition, [Formula: see text] for all [Formula: see text], then [Formula: see text] is called integrated. Every formation is called 0-multiply [Formula: see text]-local. For [Formula: see text] a formation [Formula: see text] is called [Formula: see text]-multiply [Formula: see text]-local provided either [Formula: see text] is the class of all identity groups or [Formula: see text] where [Formula: see text] is [Formula: see text]-multiply [Formula: see text]-local for all [Formula: see text] Let [Formula: see text] be a set of subgroups of [Formula: see text] such that [Formula: see text]. Then [Formula: see text] is called a subgroup functor if for every epimorphism [Formula: see text] : [Formula: see text] and any groups [Formula: see text] and [Formula: see text] we have [Formula: see text] and [Formula: see text]. A class of groups [Formula: see text] is called [Formula: see text]-closed if [Formula: see text] for all [Formula: see text]. Let [Formula: see text] be a complete lattice of formation. Then the symbol [Formula: see text] denotes the set of all formations [Formula: see text] such that [Formula: see text] where [Formula: see text] for all [Formula: see text] A complete lattice [Formula: see text] we call [Formula: see text]-inductive, if for any set [Formula: see text] and for any set [Formula: see text], where [Formula: see text], [Formula: see text] is an integrated, and [Formula: see text] for all [Formula: see text] we have [Formula: see text] where [Formula: see text] is the intersection of all formations from [Formula: see text] containing [Formula: see text] and [Formula: see text] is a formation [Formula: see text]-function such that for all [Formula: see text] [Formula: see text] is the intersection of all formations from [Formula: see text] containing [Formula: see text]. We prove that the set of all [Formula: see text]-closed [Formula: see text]-multiply [Formula: see text]-local formations forms a complete [Formula: see text]-inductive lattice of formations.
Resolutions for truncated Ore extensions
Authors: McPhate Dustin
Published: September 2022

We extend recent results in order to construct projective resolutions for modules over twisted tensor products of truncated polynomial rings. We begin by taking note of the conditions necessary to think of these algebras as a type of Ore extension. We then use this parallel with Ore extensions to develop a method for constructing projective resolutions. Finally, we use the new construction to compute a resolution for a family of examples.
Modeling Human Vagueness and Imprecision: From Fuzzy Sets to Hesitant Fuzzy Sets
Authors: Farhadinia B. , Chiclana F.
Published: September 2022

Hesitant fuzzy set has been able to receive an immense concern on the basis of several studies in both theoretical and practical viewpoints that have reported its adverse effects. During the last 12 years, there has been a growing interest in different extensions of hesitant fuzzy set theory which can generates and adopts to improve hesitant fuzzy capacity to address the increase in information complexity. Through this contribution, we intend to conduct a comprehensive literature review on “Hesitant Fuzzy” extensions those have been rarely reported previously. In view of this matter, this paper takes the literature on “Hesitant Fuzzy” extensions in the core collection database of Web of Science as the research object, and moreover, it uses the bibliometric software package of VOSviewer to visually analyze the themes of “Hesitant Fuzzy” researches from different aspects such as general statistics, top authors, the affiliation of top authors, the country of top authors, the document types and the subject areas. Furthermore, this contribution analyses the chronological development of “Hesitant Fuzzy” extensions which have been more frequently and thoroughly reviewed, including the general-based, the linguistic term-based, the q-rung orthopair-based and the probabilistic-based extensions of hesitant fuzzy sets. Last, a number of directions for future research are put forward.
A Method to the Madness: Applying an Intersectional Analysis of Structural Oppression and Power in HCI and Design
Authors: Erete Sheena , Rankin Yolanda , Thomas Jakita
Published: September 2022

With increased focus on historically excluded populations, there have been recent calls for HCI research methods to more adequately acknowledge and address the historical context of racism, sexism, gendered racism, epistemic violence, classism, and so on. In this article, we utilize Black feminist epistemologies to serve as critical frameworks for understanding the historical context that reveals the interconnected systems of power that mutually influence one another to create unequal outcomes or social inequalities for different populations. Leveraging Black feminist thought (BFT) and intersectionality as critical social theories of design praxis, we introduce intersectional analysis of power—a method that enables HCI researchers, designers, and practitioners to identify and situate saturated sites of violence in a historical context and to transform the ways in which they engage with populations that have been historically oppressed. Engaging in self-reflection as researchers, we apply an intersectional analysis of power to co-design technologies with community street outreach workers who address violence in their predominantly Black communities. We: (1) identify the saturated site of violence; (2) identify the intersecting systems of power and who holds power (past and present); (3) describe the “conceptual glue” that binds these intersecting systems together and the assumption(s) that those who hold power are employing to guide their interactions; (4) examine the ways in which Black people are subjugated, surveilled, and/or expected to assimilate to “normative” ways of being and behaving; and (5) identify acts of resistance. This article contributes an alternative to traditional HCI and design methods that falsely perpetuate a lens of neutrality and colorblindness that centers on whiteness, innovation, and capitalism and ignores the history of State-sanctioned violence and structural oppression.
Building Civic Power in Crisis
Authors: Gilman Hollie Russon
Published: September 2022

The COVID-19 pandemic exposed inequities and injustices that have existed in the United States for decades and are fundamentally built into our institutions, including our democracy. This article argues that building a stronger democracy based on civic power requires opening the policy-making process up to the public, especially to those who have been most marginalized. It offers illustrative case studies of best practices to tap into hyper-local citizen expertise by implementing principles of CrowdLaw and concludes with recommendations to guide research and practice.
SummerTime: Variable-length Time Series Summarization with Application to Physical Activity Analysis
Authors: Amaral Kevin , Li Zihan , Ding Wei , Crouter Scott , Chen Ping
Published: September 2022

SummerTime seeks to summarize global time-series signals and provides a fixed-length, robust representation of the variable-length time series. Many machine learning methods depend on data instances with a fixed number of features. As a result, those methods cannot be directly applied to variable-length time series data. Existing methods such as sliding windows can lose minority local information. Summarization conducted by the SummerTime method will be a fixed-length feature vector which can be used in place of the time series dataset for use with classical machine learning methods. We use Gaussian Mixture models (GMM) over small same-length disjoint windows in the time series to group local data into clusters. The time series’ rate of membership for each cluster will be a feature in the summarization. By making use of variational methods, GMM converges to a more robust mixture, meaning the clusters are more resistant to noise and overfitting. Further, the model is naturally capable of converging to an appropriate cluster count. We validate our method on a challenging real-world dataset, an imbalanced physical activity dataset with a variable-length time series structure. We compare our results to state-of-the-art studies and show high-quality improvement by classifying with only the summarization.
Emotion Ontology Studies: A Framework for Expressing Feelings Digitally and its Application to Sentiment Analysis
Authors: Park Eun Hee , Storey Veda C.
Published: September 2022

Emotion ontologies have been developed to capture affect, a concept that encompasses discrete emotions and feelings, especially for research on sentiment analysis, which analyzes a customer's attitude towards a company or a product. However, there have been limited efforts to adapt and employ these ontologies. This research surveys and synthesizes emotion ontology studies to develop aFramework of Emotion Ontologiesthat can be used to help a user select or design an appropriate emotion ontology to support sentiment analysis and increase the user's understanding of the roles of affect, context, and behavioral information with respect to sentiment. The framework, which is derived from research on emotion ontologies, psychology, and sentiment analysis, classifies emotion ontologies as discrete emotion or one of two hybrid ontologies that are combinations of the discrete, dimensional, or componential process emotion paradigms. To illustrate its usefulness, the framework is applied to the development of an emotion ontology for a sentiment analysis application.
LGuard
: Securing Enterprise-IoT Systems against Serial-Based Attacks via Proprietary Communication Buses
Authors: Puche Rondon Luis , Babun Leonardo , Aris Ahmet , Akkaya Kemal , Uluagac A. Selcuk
Published: September 2022

Enterprise Internet of Things (E-IoT) systems allow users to control audio, video, scheduled events, lightning fixtures, door access, and relays in complex smart installations. These systems are widely used in government or smart private offices, smart buildings/homes, conference rooms, schools, hotels, and similar professional settings. However, even with their widespread use, the security of many E-IoT systems and components has not been researched in the literature. To address this research gap, we focus on E-IoT communication buses, one of the core components used to connect E-IoT devices, and introduce
LightningStrike
attacks that demonstrate several weaknesses with E-IoT proprietary communication protocols used in E-IoT communication buses. Specifically, we show that popular E-IoT proprietary communication protocols are susceptible to Denial-of-Service (DoS), eavesdropping, impersonation, and replay attacks. As such threats cannot be mitigated through traditional defense mechanisms due to the limitations posed by E-IoT, we propose
LGuard
, a defense system to protect E-IoT systems against the attacks over communication buses.
LGuard
uses closed-circuit television footage and computer vision techniques to detect replay attacks. For impersonation and DoS attacks,
LGuard
utilizes traffic analysis. Finally,
LGuard
obfuscates the E-IoT traffic via inserting redundant traffic to the bus against eavesdropping attacks. We evaluated the performance of
LGuard
in a realistic E-IoT deployment, and our detailed evaluations show that
LGuard
achieves an overall accuracy and precision of 99% in detecting DoS, impersonation, and replay attacks while effectively increasing the difficulty of extracting valuable information for eavesdroppers. In addition,
LGuard
does not incur any operational overhead or modification to the existing E-IoT system.
SSD-SGD: Communication Sparsification for Distributed Deep Learning Training
Authors: Xu Yemao , Dong Dezun , Wang Dongsheng , Xu Shi , Yu Enda , Xu Weixia , Liao Xiangke
Published: September 2022

Intensive communication and synchronization cost for gradients and parameters is the well-known bottleneck of distributed deep learning training. Based on the observations that Synchronous SGD (SSGD) obtains good convergence accuracy while asynchronous SGD (ASGD) delivers a faster raw training speed, we propose Several Steps Delay SGD (SSD-SGD) to combine their merits, aiming at tackling the communication bottleneck via communication sparsification. SSD-SGD explores both global synchronous updates in the parameter servers and asynchronous local updates in the workers in each periodic iteration. The periodic and flexible synchronization makes SSD-SGD achieve good convergence accuracy and fast training speed. To the best of our knowledge, we strike the new balance between synchronization quality and communication sparsification, and improve the tradeoff between accuracy and training speed. Specifically, the core components of SSD-SGD include proper warm-up stage, steps delay stage, and the novel algorithm of global gradient for local update (GLU). GLU is critical for local update operations by using global gradient information to effectively compensate for the delayed local weights. Furthermore, we implement SSD-SGD on MXNet framework and comprehensively evaluate its performance with CIFAR-10 and ImageNet datasets. Experimental results show that SSD-SGD can accelerate distributed training speed under different experimental configurations, by up to 110% (or 2.1× of the original speed), while achieving good convergence accuracy.
Centering All Students in Their Assessment
Authors: Johnson Mark , Venkateswaran Uma , Hinds Fiona , Ferrara Steve , Bairstow Megan
Published: September 2022

The primary focus in developing and providing equitable assessment should be the student who will engage with the assessment. Students' diverse experiences and individual needs are key to centering them in their assessment. New practices and greater emphasis are needed to provide an assessment environment that enhances student agency. Performance assessment, current innovative and emerging technologies, and considerations for marginalized students and students with disabilities, all grounded in research-based practices can promote equity in assessment. Some of these approaches already exist in some schools, which can serve as an illustrative example of what can be accomplished.
Use of Population-Level Administrative Data in Developmental Science
Authors: Milne Barry J. , D'Souza Stephanie , Andersen Signe Hald , Richmond-Rakerd Leah S.
Published: September 2022

Population-level administrative data—data on individuals’ interactions with administrative systems (e.g., health, criminal justice, and education)—have substantially advanced our understanding of life-course development. In this review, we focus on five areas where research using these data has made significant contributions to developmental science: ( a) understanding small or difficult-to-study populations, ( b) evaluating intergenerational and family influences, ( c) enabling estimation of causal effects through natural experiments and regional comparisons, ( d) identifying individuals at risk for negative developmental outcomes, and ( e) assessing neighborhood and environmental influences. Further advances will be made by linking prospective surveys to administrative data to expand the range of developmental questions that can be tested; supporting efforts to establish new linked administrative data resources, including in developing countries; and conducting cross-national comparisons to test findings’ generalizability. New administrative data initiatives should involve consultation with population subgroups including vulnerable groups, efforts to obtain social license, and strong ethical oversight and governance arrangements.
Quantitative of Atomic Spectra by Laser-Induced Teaching Integrating Multitarget Tracking Algorithm
Authors: Zhang Ying , Liu Chunyu , Zhang Tingsong
Published: September 2022

Laser-induced breakdown spectroscopy refers to the radiation spectrum formed by the vaporization and ionization of samples under high-temperature conditions. It is a new technology for detecting and analyzing the composition and content of materials. However, this technology is not yet very mature; in this regard, this paper proposes a quantitative study of atomic spectroscopy using laser-induced technology. On this basis, a method using laser-induced breakdown spectroscopy is proposed, and its quantitative analysis and application are carried out in detail. The laser-induced breakdown technology uses a high-power pulsed laser to form a plasma on the surface of the test piece and analyzes its radiation spectrum to obtain the composition and content of its elements. It also used the laser-induced breakdown technique to quantitatively analyze the Ti-doped Al2O3 ceramic system. Through the quantitative analysis of constant laser and constant plasma temperature, the linear correlation coefficient R2 of the calibration curve calculated with constant plasma temperature is obtained as 0.985, and the relative error is 5.3%. This paper uses a fixed laser pulse amplification voltage, the linear coefficient of the proportional relationship curve is only 0.92, and the error rate is 8.9%. By comparing the two curves, the Ti proportional curve obtained by a fixed plasma temperature is obtained in this paper. Its linearity is better than the Ti scaling curve obtained by constant laser voltage.
The Research on Risk Distribution and Evolution of Deep Foundation Pit Construction Adjacent to Existing Tunnels Based on Complex Network
Authors: Jiang Jie , Liu Guangyang , Huang Xi , Ou Xiaoduo
Published: September 2022

The construction of deep foundation pits adjacent to existing subway tunnels faces enormous challenges, and once a safety accident occurs, there are often mass injuries that cause substantial economic losses. However, there are many shortcomings and defects in the traditional methods of assessing the safety of the pit itself and the existing tunnel in the construction of the deep foundation pit adjacent to existing tunnels. This study establishes an optimized complex network-based dynamic risk assessment model to dynamically assess the overall risk of deep foundation pits in adjacent existing tunnels systematically, solving the challenges of inaccurate risk assessment and inaccurate description of correlations between nonstationary time series data. In this study, we first divide the monitoring data into time windows and describe the correlation between nonstationary time-series monitoring data within each window based on the MF-DCCA method and the threshold method, and establish the adjacency matrix to prepare for the establishment of an optimized complex network model. Secondly, based on the adjacency matrix, a complex network model under different time windows is constructed, and risk assessment indexes are established through the topological parameters of the complex network model to explore the evolution of risk in time and space, so as to realize the risk distribution and quantitative evolution assessment of the system which is deep foundation pit adjacent to existing subway tunnels. Finally, the proposed method is tested by taking the Nanning underground comprehensive utilization project as an example. The results show that this method can quantify the risk of the construction of deep foundation pits adjacent to existing tunnels more effectively than the traditional method to describe the evolution law better. It has important guiding significance for strengthening the safety risk monitoring and safety management of the construction system of deep foundation pits adjacent to existing tunnels.
Decision Modeling and Evaluation of Enterprise Digital Transformation Using Data Mining
Authors: Cheng Lin
Published: September 2022

The paper discusses the commercial opportunities for digitalization, as well as the changes that occur when digital technology is adopted throughout all business areas. A survey of digital firms found that maturing digital organisations are concentrating on integrating digital technologies to revolutionise how businesses operate. A digital strategy supported by management who nurture a culture of change and innovation is a primary predictor of a company’s ability to digitally remake itself. Companies that integrate big data, cloud, mobile, and social technologies into their infrastructure are more lucrative, have larger sales, and have a better market valuation than competitors with a weak vision. This paper aims to conduct an in-depth study on the evaluation and decision-making model of the effectiveness of enterprise transforming to digitalization based on data mining in order to address the shortcomings of self-evaluation, promote and improve the process and promote enterprise transforming to digitalization. First, it determines the evaluation index and uses triangular fuzzy numbers to clarify the index weight. It also gathers the opinions of various experts in the decision-making process. Afterward, the decision tree evaluation model is generated through the information gain and ROC curve. Based on enterprises’ relevant transforming to digitalization data, the decision tree model is used as the evaluation decision model, and the research on the evaluation model of the point of enterprise transforming to digitalization is completed. Experiments show that the method proposed in this paper has high accuracy, fast algorithm operation efficiency, and robust data mining ability. It can effectively improve and promote the progress of enterprise transforming to digitalization.
Implications of Artificial Intelligence Technology for the External Communication of Chinese Ethnic Cultures
Authors: Qiao Yanna , Zhou Lili
Published: September 2022

At present, artificial intelligence technology is experiencing rapid development, and artificial intelligence has a significant impact on human production and lifestyle, as well as the political and cultural aspects of society. In recent years, the rapid development of artificial intelligence, in the context of this era of development, for the national cultural communication, how to faster and better adapt to the general trend of the times, and constantly interchange and improve become an important issue. As an indispensable part of the world’s civilization, Chinese ethnic cultures cannot only focus on their domestic inheritance but also should establish an external spreading pattern, thus promoting their own development as well as the diversity of the world’s cultures. This article discusses the implication of AI technology for the promotion of Chinese ethnic cultures’ external communication. AI technology can be used in text translation, data mining, communication channel analysis, etc. It is more efficient and accurate than experienced journalists and editors in collecting big data to develop selected topics and research, judge the direction of ethnic culture communication, and discover the content that users are interested in. At the same time, the instrumental and auxiliary roles of AI translation can be used to improve the construction of ethnic culture corpus. Through the analysis of the data from the survey and experiment, it is found that the media of ethnic culture communication has changed dramatically since 2016. In 2016, the highest proportion of television channels was 70%, but in 2021, the proportion of television channels dropped to 23%, and Internet and book communication have become the “main force,” of which the proportion of Internet is 59% and the proportion of book channels is 48%, and the popularity and growth speed of the mass media ranked first. The modern intelligent technology can be used to spread Chinese ethnic cultures more widely and effectively. It has a far-reaching influence in that, it can promote the inheritance and innovation of Chinese ethnic cultures, and to improve ethnic groups’ confidence in their own ethnic cultures.
COVID-19 Rapid Antigen Test Screening in Patients on Hemodialysis
Authors: Alfano Gaetano , Scarmignan Roberta , Morisi Niccolò , Fontana Francesco , Giovanella Silvia , Ligabue Giulia , Rofrano Laura , Gennari William , Pecorari Monica , Gregorini Mariacristina , Cappelli Gianni , Magistroni Riccardo , Donati Gabriele
Published: September 2022

Introduction. Patients receiving in-center hemodialysis are extremely vulnerable to COVID-19. It is unclear if routine screening of asymptomatic hemodialysis patients is an effective strategy to prevent COVID-19 outbreaks within the dialysis unit. Methods. We conducted a retrospective analysis of in-center hemodialysis patients who underwent bimonthly COVID-19 rapid antigen test screening from February 15th to December 26th, 2021. Nasal rapid antigen testing was performed in all asymptomatic patients. All rapid antigen-positive tests were confirmed by RT-PCR nasopharyngeal swab. Besides universal rapid antigen screening, RT-PCR testing was conducted in all symptomatic patients and contacts of COVID-19 subjects. Results. Overall, 4079 rapid antigen tests were performed in 277 hemodialysis patients on chronic hemodialysis with a mean age of 68.4 ± 14.6 years. Thirty-eight (0.9%) rapid antigen tests resulted positive. Only five (13.8%) positive-rapid antigen tests were also positive by RT-PCR testing. During the same period, 219 patients regularly screened by rapid antigen tests bimonthly underwent 442 RT-PCR nasopharyngeal swabs for clinical reasons. RT-PCR testing yielded a positive result in 13 (5.9%) patients. The time elapsed between PCR and the negative-rapid antigen test was 7.7 ± 4.6 days (range 1.8–13.9 days). At the end of the follow-up, 6.4% of the population on in-center hemodialysis contracted COVID-19, and routine rapid antigen tests detected only 5 out of 18 (27.7%) COVID-19 cases. No outbreaks of COVID-19 were identified within the dialysis unit. Conclusion. Bimonthly rapid antigen screening led to the early diagnosis of COVID-19 in less than one-third of cases. The short incubation period of the new SARS-CoV-2 variants makes bimonthly test screening inadequate for an early diagnosis of COVID-19. More frequent tests are probably necessary to improve the utility of COVID-19 nasal rapid antigen test in patients on hemodialysis.
Research on Segmentation Method of Greening Landscape of Urban Community Based on Improved U-Net Network
Authors: Sui Jing
Published: September 2022

Aiming at the problem of low segmentation accuracy of greening landscape of urban community, a segmentation method of greening landscape of urban community based on improved U-Net network is proposed by adding an encoder on U-Net network. In addition, simulation is carried out on the remote sensing image data collected by GPRS network, and the effectiveness of the method is verified. The simulation results show that the result of proposed method is close to that of manual annotation. Compared with the traditional segmentation algorithm SVM and SegNet method, as well as the U-Net network before improvement, the proposed method has higher segmentation accuracy. The segmentation accuracy can reach up to 91%, the intersection ratio can reach 76%, and the mean pixel accuracy and mean intersection ratio can reach 89% and 74%, which indicates that the proposed method has certain validity and practicability.
[Retracted] Synthesis and Biomedical Applications of Zirconium Nanoparticles: Advanced Leaps and Bounds in the Recent Past
Authors: Arshad Hafiz Muhammad , Shahzad Amir , Shahid Sammia , Ali Sadaqat , Rauf Abdul , Sharif Shahzad , Ullah Muhammad Ehsan , Ullah Muhammad Inam , Ali Muhammad , Ahmad Hafiz Ishfaq
Published: September 2022

Many synthetic routes manufacture zirconium nanoparticles in metal oxide, nitride, and other combination forms. Coupled with other variables such as concentration, pH, and form of precursor used, the various synthetic methods support synthesizing the zirconium metal oxide nanoparticles with changed features. Various synthetic methods were studied, such as sol‐gel, hydrothermal, laser ablation, and precipitation. All have different synthetic routes, different precursors and solvents were sued, and the product was characterized by SEM, TEM, photo luminance spectroscopy, UV‐absorption spectroscopy, and powder X‐ray diffraction. X‐ray diffraction determined the crystal structure by identifying the crystal shape, arrangement of atoms, and spacing between them. SEM and TEM studied the particle size and morphology of nanoparticles. UV‐visible absorption spectroscopy and PL spectroscopy were used for the determination of optical properties of nanoparticles. Zirconium oxide nanoparticles have many applications in the medical field. The review study primarily focuses on the efficient combination of zirconium dioxide with other additive materials and functionalization techniques used to improve the material’s properties, assisting the use of the material in hip arthroplasty and bone tissue applications. The development of sophisticated near‐infrared (NIR) absorbing small molecules for useful phototheranostic applications was discussed in this paper.
Effects of Qigong Therapy on the Anaerobic Threshold in Patients with Stable Coronary Artery Disease: A Randomized Controlled Trial
Authors: Zhao Fengrun , Liang Chen , John Zaslawski Christopher , Cao Zhenyu
Published: September 2022

Objective. This study aims to identify whether Qigong (QG) rehabilitation therapy can significantly improve the cardiac function of patients with stable coronary artery disease (SCAD) compared with routine therapy. Thus, a randomized controlled trial was conducted to evaluate the curative effects of a three-month QG rehabilitation therapy on cardiac rehabilitation. Patients and Methods. In this trial, a total of 68 patients with SCAD were randomly divided into the QG group (34 patients) and the control (CON) group (34 patients). Patients in the CON group received routine cardiologic medication without any special intervention. Based on the treatment in the CON group, patients in the QG group were provided additionally with a 12-week traditional Chinese medicine (TCM) cardiac rehabilitation QG exercise training program. The outcomes of these patients were assessed at baseline and after 12 weeks of intervention through the treadmill (anaerobic threshold (AT)) test. Results. After 12 weeks of intervention, the AT, volume of oxygen (VO2), oxygen uptake/kilogram (VO2/kg), metabolic equivalents (METS), and oxygen pulse (VO2/HR) of patients in the QG group were significantly higher than those of patients in the CON group (

P
<
0.05

). Conclusion. QG therapy can achieve certain curative effects and safety for patients with SCAD. This trial is registered with Clinicaltrials.gov identifier (ChiCTR1800015823).
Multitarget Pedestrian Tracking Algorithm Based on a Contour Template with Multiscale Stability
Authors: Liu Hui , Feng Yingying , Yu Shigan
Published: September 2022

In order to overcome the problems of high error rate and poor tracking effect of traditional tracking algorithms, a multitarget pedestrian tracking algorithm based on a contour template is designed in this paper. The pedestrian template is divided into several contour regions by template voting strategy and pedestrian features are classified by regional feature similarity classification. Then, the score function is selected to realize the multiobjective pedestrian feature division, and the multicontour template matching is realized according to the similarity of deformation diversity. According to the matching results, the detection and tracking of multitarget objects are realized. The experimental results show that the feature recognition accuracy of the algorithm is between 93% and 98%, the tracking error of pedestrian gravity center position is always below 5%, and the tracking time is always below 5 S in different video frame scales, which fully proves the effectiveness of the algorithm.