bluuebunny/crossref_metadata_2025 huggingface dataset:
Electronic Information Signal Recognition Based on a Stochastic Neural Network Algorithm
Authors: Wang Jiaye
Published: August 2022

In order to improve the recognition accuracy of SCN for optical fiber data, a method of optical fiber intrusion signal recognition based on SCN (TSVD-SCN) based on truncated singular value decomposition (TSVD) is proposed in this paper. TSVD-SCN performs SVD decomposition on the hidden layer output of the network and sets a threshold to remove the smaller singular values, so as to reduce the number of conditions of the hidden layer output matrix and improve the network recognition rate. This paper uses the method of duty cycle, average amplitude difference function, and FFT to calculate the energy duty cycle for feature extraction and uses TSVD-SCN algorithm to classify and recognize different intrusion vibration feature vectors. The experimental results show that the root mean square errors of TSVD-SCN and SCN networks are significantly less than RVFL. After the hidden layer node

L
=
20

, the training error decline speed of RVFL tends to be gentle. When

LRVFL
=

L

max

, the learning effect is the best, and

RMSERVFL
=
0.3

. With the continuous increase of L, the training error of SCN network and TSVD-SCN network will be reduced to very small, and the training error of TSVD-SCN network is also less than SCN. Conclusion. The accuracy of the algorithm model proposed in this paper is higher than that of the SCN model. It can accurately identify the types of optical fiber intrusion signals, which is of great significance to improve the classification accuracy of the SCN network in practical applications.
Some Properties of the Zero-Divisor Graphs of Idealization Ring R(+)M
Authors: Al-Labadi Manal
Published: August 2022

The aim of this article to follow the properties of the zero-divisor graph of special idealization ring. We study the wiener index of the zero-divisors graph of some special idealization ring R(+)M and find the clique number of the graph Γ(R(+)M) is ω (Γ(R(+)M)) = |M| − 1, where R is an integral domain. We also discuss when the zero-divisors graph of some special idealization ring R(+)M are Hamiltonian graph.
Symmetry Classification and Solutions for the Third-Order of Kudryashov–Sinelshchikov Equation
Authors: Li Jina , Hong Li  , Tianhao Li
Published: August 2022

This paper studies nonlinear wave propagation in a bubble-liquid mixture based on the third-order Kudryashov–Sinelshchikov (KS) equation. Symmetry is classified and reduced through the symmetry group method. Through the generalized conditional symmetry method, this equation is classified, and the generalized conditional symmetry considered are second, third, fourth, and fifth-order, respectively. Meanwhile, the classified equations are transformed into a system of ordinary differential equations and solved.
Research on SDH Model Calibration Algorithm for Robotic Arm Based on Differential Transform
Authors: Wang Zhaole , Liu Yaqiu , Liu Lina
Published: August 2022

With the development of science and technology, it has had a great impact on the manufacturing industry. The manufacturing industry has higher and higher requirements for industrial manipulators, and the expectations for the quality and function of the industrial manipulators in the manufacturing industry are increasing day by day. At the same time, the requirements for the working accuracy of the manipulators are also getting higher and higher. In this paper, a new method is proposed. An error compensation and calibration algorithm based on parameter separation and integration of the standard DH model (SDH) is used to construct the kinematic model of the manipulator. The six groups of structural parameters of the six-axis manipulator are calibrated once every two groups, thereby eliminating the influence of the singular value of the position of the manipulator. Finally, the feasibility of this scheme is verified by simulation experiments, the accuracy is ensured, and the expected purpose is achieved. Because the method in this paper has high requirements on the posture of the manipulator, it reduces the overall calibration calculation and saves time, which has a certain effect on the improvement of the industrial manipulator in the manufacturing industry.
Blended Teaching Strategies of College English Translation under the Background of Internet
Authors: Ning Jing , Ban Haidong
Published: August 2022

Blended learning has taken center stage in higher education because it involves overseeing of “Online learning” and the ongoing growth of teaching reform in colleges and universities. Internet promotes the reconfiguration and integration of educational resources. The Internet has greatly magnified the role and value of high-quality educational resources. Blended teaching combines the advantages of traditional teaching and network teaching to complement each other; it not only gives full play to the flexibility and autonomy of network teaching, but also retains the connection of teacher-student emotional communication in traditional teaching. Translation teaching is an important part of college English teaching. This article mainly introduces the research of college English translation (CET) blended teaching strategies under the Internet background. This paper proposes a research plan for CET blended teaching strategies under the Internet background, including literature research method, questionnaire survey method, analytic hierarchy process, expert interview method, teaching evaluation sentiment classification algorithm based on feature-weighted Stacking algorithm, and analytic hierarchy process of the teaching effect evaluation algorithm. The experimental results of this article show that the average value of the questionnaire Cronbach’s α coefficient is 0.915, demonstrating that the study's information is both extremely plausible and reasonably real.
Numerical Study of an Indicator Function for Front-Tracking Methods
Authors: Jeong Darae , Ham Seokjun , Yang Junxiang , Hwang Youngjin , Kwak Soobin , Hua Haobo , Xin Xuan , Kim Junseok
Published: August 2022

In this paper, we present a detailed derivation and numerical investigation of an indicator function for front-tracking methods. We use the discrete Dirac delta function to construct an indicator function from a set of Lagrangian points and solve the resulting discrete Poisson equation with the zero Dirichlet boundary condition using an iterative method. We present several computational tests to investigate the effect of parameters such as distance between points, uniformity of the distance, and types of the Dirac delta functions on the indicator function.
Impacts of Low-Dose Total Glycosides of Tripterygium wilfordii plus Methotrexate on Immunological Function and Inflammation Level in Patients with Rheumatoid Arthritis
Authors: Han Yong , Jin Jingri , Wu Fushun , Wang Zhiwei
Published: August 2022

Purpose. This research mainly clarifies the impacts of low-dose- (LD-) total glycosides of Tripterygium wilfordii (GTW) plus methotrexate (MTX) on immunological function and inflammation level in patients with rheumatoid arthritis (RA). Methods. We enrolled 106 RA patients treated in Yanbian University Hospital between July 2019 and July 2021, including 56 cases (research group) intervened by LD-total GTW plus MTX and 50 cases (control group) treated with MTX, in addition to conventional treatment given to both groups. The improvement in immunological function (immunoglobulin (Ig) A, IgG, and IgM), inflammatory cytokines (ICs; C-reaction protein (CRP), tumor necrosis factor-α (TNF-α), and interleukin-6 (IL-6)), incidence of adverse reactions (ARs), joint function, and patient satisfaction were observed and compared. Results. Statistical better improvements of immunological function, ICs, and joint function were observed in the research group compared with the control group. Besides, patient satisfaction was higher and the incidence of ARs was lower in the research group. Conclusions. LD-total GTW plus MTX is highly effective and safe in enhancing the immunity, lowering the inflammation level, and improving the joint function of RA patients.
Civil Engineering Simulation and Safety Detection of High-Rise Buildings Based on BIM
Authors: You Yinchen , Zheng Yi , Chen Xiaohui
Published: August 2022

In the process of vigorously promoting the development of China’s smart city construction site engineering, the wide application of BIM technology and its advantages have been widely reflected in various places such as remote video site monitoring, visual chemical field technical data disclosure, and statistical engineering volume. BIM technology can effectively help enterprises manage the whole construction site, and can significantly and effectively improve the safety management level and work efficiency of the whole construction site. In this paper, a numerical simulation processing system for civil engineering is designed. This system can not only effectively predict and evaluate the design results of civil engineering but also help guide enterprises to obtain various earthquake-resistant and beautiful building structure designs, and various this kind of economical and reasonable engineering project construction decision-making. This paper uses simulation models to study the civil engineering of high-rise buildings, and conducts an in-depth study on the efficiency of simulation processing results and the analysis of visualization methods, which mainly include the efficient visualization of simulation time-varying vector fields and the efficient visualization after OpenSEES simulation processing.
Maximum Power Point Tracking Control of PV-TE Hybrid Power Generation System in Greenhouse
Authors: Bai Long
Published: August 2022

The application of photovoltaic-thermoelectric (PV-TE) combined power generation system in greenhouse is an effective way to solve the problems of high energy consumption and high pollution. In order to improve the efficiency of the PV-TE system, maximum power point tracking (MPPT) control is required. Aiming at the shortcomings of the traditional incremental conductance (INC) method, which is fixed in step size, a hyperbolic tangent-type adaptive variable step length INC method is proposed. The method takes advantage of the monotonically increasing and the fast changing speed of the hyperbolic tangent function, so that the step length can be adjusted rapidly and adaptively according to the change of external environmental conditions such as light intensity. The simulation results show that the proposed method can rapidly track the maximum power point when the illumination intensity changes drastically, and meanwhile it has smaller steady-state error and can realize MPPT control well.
Horizontally Partitioned Data Publication with Differential Privacy
Authors: Gu Zhen , Zhang Guoyin , Yang Chen
Published: August 2022

In this paper, we study the privacy-preserving data publishing problem in a distributed environment. The data contain sensitive information; hence, directly pooling and publishing the local data will lead to privacy leaks. To solve this problem, we propose a multiparty horizontally partitioned data publishing method under differential privacy (HPDP-DP). First, in order to make the noise level of the published data in the distributed scenario the same as in the centralized scenario, we use the infinite divisibility of the Laplace distribution to design a distributed noise addition scheme to perturb the locally shared data and use Paillier encryption to transmit the locally shared data to the semitrusted curator. Then, the semitrusted curator obtains the estimator of the covariance matrix of the aggregated data with Laplace noise and then obtains the principal components of the aggregated data and returns them to each data owner. Finally, the data owner utilizes the generative model of probabilistic principal component analysis to generate a synthetic data set for publication. We conducted experiments on different real data sets; the experimental results demonstrate that the synthetic data set released by the HPDP-DP method can maintain high utility.
The Spatial Economic Effect of Industrial Credit Misallocation in China
Authors: Yuan Qinglu , Zhou Huan
Published: August 2022

The cross-industry allocation of bank credit plays an important role in China’s economic development and optimizing and upgrading industrial structures. This article collects the panel data of 19 industries in China from 2007 to 2017, constructs dynamic spatial panel models, and deeply analyzes the impact of credit misallocation on industry economy. The results show that structural misallocation of bank credit exists in various industries in China. Particularly, credit deviation degree of China’s industries has gradually declined, but structural volatility remains large. A large amount of capital flows to the tertiary industry, while the capital of the primary industry and the secondary industry is relatively scarce. What is more, credit misallocation has a negative impact on industry economic growth and shows a weak acceleration effect. Therefore, in formulating economic policies, the government should actively guide the rational flow of inter industry credit funds and improve the efficiency of capital allocation. The government should continue to increase investment in manufacturing and promote independent innovation. Additionally, reasonable financial policies should be formulated to ensure the effective operation of the market and reduce the degree of credit misallocation.
[Retracted] A Brief Discussion on the Influence and Significance of the Task Dismantling Teaching Method on the Political Education Environment in Colleges and Universities
Authors: Chen Yue
Published: August 2022

The ideological and political education in colleges and universities shoulders the important task of defending the Marxist ideology. It has strong value selectivity and a high degree of political principle. For a long time, the indoctrination teaching method has often been regarded as the only way to arm newcomers with Marxist beliefs from the outside to the inside. However, through the reform and opening up and the development of informatization in Chinese society, the traditional indoctrination teaching mode has become more and more inefficient and inactive show. In fact, the education of ideals and beliefs can only emit dazzling sparks when it collides with the experience world of learners. At present, the ideological and political education in colleges and universities should be fully connected with the reality of personal and social development. As far as ideological and political theory education is concerned, the central government has also issued relevant documents, mainly to strengthen the ideological and political education of college students. For this reason, it is necessary to further explore the deficiencies in the ideological and political theory education in colleges and universities, and make comprehensive improvements. By discussing the reform of ideological education in colleges and universities and studying the specific connotation of task disassembly teaching, the paper analyzes and discusses the corresponding suggestions and strategies of the political education reform of colleges and universities.
Supply Chain Optimization Strategy Research Based on Deep Learning Algorithm
Authors: Wang Jingyuan , Zheng Rui , Wang Zhaoyue
Published: August 2022

The ordering and transportation of raw materials are a key process for enterprises to produce and receive receivables, and it is necessary to conduct a targeted study of this process. In order to solve this problem, this paper first collects relevant data and information on the ordering quantity of each enterprise, the inventory of various types of raw materials, the supply quantity of suppliers, the transshipment capacity, and the loss of transporters. After a comprehensive evaluation of enterprises, suppliers, and transporters, we propose a reasonable ordering, supply, and transshipment decision scheme. Specifically, we first use principal component analysis to screen out several important suppliers. Second, we screen out 26 stable suppliers based on the regularity of supply using LSTM and ARIMA models, respectively, and then based on the transportation cost and loss cost minimization objectives, further refine the ordering and forwarding scheme. Finally, we realign our ordering and forwarding schemes according to the transportation cost and warehousing cost minimization objectives. The experimental evaluation structure shows that our model yields the most economical ordering and shipping scheme each week. Moreover, after replacing the objective function, our model can still improve the single-week capacity by 0.79% as well, demonstrating strong robustness and generalization ability.
A Stochastic Approach Analysing Enterprises’ Investment following Financing Reform in China
Authors: Xiao Shuxing , Li Guangliang , Zhang Weikun , Zhou Mingming , Zheng Wolin
Published: August 2022

This paper explores the change of enterprises’ investment following the financing system reform through the established stochastic investment model. In this constructed model, financing property, market-oriented reform, and government intervention are regarded as a stochastic process. Furthermore, the modern China’s economic situation is interpreted to analyze the enterprises’ investment by government intervention plan combined with he deduced proposition from the stochastic investment model. The results provide a depth understanding for characteristics of the enterprise in China that the steady capital of state-owned enterprises’ investment is higher than that of non-state-owned enterprises without government intervention before completing financing reform. Although government intervention can increase the investment level of state-owned enterprises, doing so increases the turbulence of the market economy. Additionally, the impact of government-led financing reform on enterprises’ investment is asymmetrical. Promoting market-oriented, clear-cut financing reform, and reducing government-led investment plans will improve enterprises’ investment efficiency and stabilize China’s economic development. The present paper provides a specific future orientation of China’s financing reform determining the level of enterprises’ investment.
Modelling of Hydroabrasive Erosion in Pelton Turbine Injector
Authors: Bajracharya Tri Ratna , Shrestha Rajendra , Sapkota Anil , Timilsina Ashesh Babu
Published: August 2022

Sand particle-led erosion in the turbine parts of hydropower projects (excluding storage type projects) based on Himalaya-originated Rivers is one of the key operational challenges for concerned hydropower stations. Researchers have made multiple attempts to understand the nature of erosion and its combating technique by using numerical and experimental modelling techniques. This study relates to numerical and experimental modelling of sand particle-led erosion in the injector of the most preferred high head turbine, i.e., the Pelton turbine, followed by a comparative analysis of both techniques. This article attempts to compare erosion qualitatively and quantitatively, thus adding to the current state of the art of turbine erosion modelling. The results direct that the erosion-prone area is the needle seat in the nozzle and the region between the needle tip and nozzle exit in the needle, similar to findings reported by authors performing field setting research. The innovative aspect of the study is that by mapping the shape of the initial and eroded needle, mass lost in the erosion-prone area (as indicated by numerical erosion modelling) is calculated and compared against numerical modelling results. With the Oka erosion model employed for numerical modelling, the error in computation is about 31%. The nature of erosion in a partially open injector reveals that erosion in the needle increases with the nozzle’s partial opening. Nozzle erosion spreads away from the needle seat to the whole nozzle body. As commonly understood, the erosion of turbine parts gives rise to mechanical vibrations (especially in rotating parts) and energy loss. Numerical modelling results of injector erosion’s effect on jet energy are also presented. With uniformly spread erosion of 0.5 mm in both the needle and nozzle, loss in jet energy is 5.63%.
The Customs Clearance Efficiency of Guangdong-Hong Kong Land Transportation Based on BP Neural Network Algorithm
Authors: You Linyu
Published: August 2022

With the continuous development of the economy, the trade volume of customs clearance by land transportation between Guangdong and Hong Kong is increasing, but there are many problems in customs clearance by land transportation between Guangdong and Hong Kong. Therefore, it is necessary to start with the logistics mode of land transportation between Guangdong and Hong Kong, reduce the cost of customs clearance by land transportation between Guangdong and Hong Kong, and increase the trade volume by land transportation between the two places. This paper systematically analyzes the present situation of customs clearance efficiency in China and introduces BPNN (BP neural network) algorithm to optimize customs clearance. The detailed idea and process of the algorithm are introduced, and the BPNN trained by the algorithm is applied to function approximation. The simulation results show that this scheme can not only improve the convergence speed of the algorithm in the training process but also the trained BPNN has strong adaptive and self-learning ability. Comparing the customs clearance efficiency before and after the improvement, the results show that the improved customs clearance efficiency is higher and can save a lot of time, thus verifying the effectiveness and applicability of the model-solving algorithm.
Implementation of a complex fractional order proportional-integral-derivative controller for a first order plus dead time system
Authors: Abdulwahhab Omar
Published: August 2022

This paper presents the implementation of a complex fractional order proportional integral derivative (CPID) and a real fractional order PID (RPID) controllers. The analysis and design of both controllers were carried out in a previous work done by the author, where the design specifications were classified into easy (case 1) and hard (case 2) design specifications. The main contribution of this paper is combining CRONE approximation and linear phase CRONE approximation to implement the CPID controller. The designed controllers-RPID and CPID-are implemented to control flowing water with low pressure circuit, which is a first order plus dead time system. Simulation results demonstrate that while the implemented RPID controller fails to stabilize the system in case 2, the implemented CPID controller stabilizes the system in both cases and achieves better transient response specifications.
Feature extraction techniques for cognitive stimuli-based electroencephalogram signals: an experimental analysis
Authors: Christy J. Jessy Jane , Kanaga E. Grace Mary
Published: August 2022

Over the past decades, brain-computer interface (BCI) has gained a lot of attention in various fields ranging from medicine to entertainment, and electroencephalogram (EEG) signals are widely used in BCI. Brain-computer interface made human-computer interaction possible by using information acquired from EEG signals of the person. The raw EEG signals need to be processed to obtain valuable information which could be used for communication purposes. The objective of this paper is to identify the best combination of features that could discriminate cognitive stimuli-based tasks. EEG signals are recorded while the subjects are performing some arithmetical based mental tasks. Statistical, power, entropy, and fractional dimension (FD) features are extracted from the EEG signals. Various combinations of these features are analyzed and validated using random forest classifier, K-nearest neighbors (KNN), multilayer perceptron, linear discriminant analysis, and support vector machine. The combination of entropy-FD features gives the highest accuracy of 90.47% with the KNN algorithm when compared to individual entropy and FD features which achieves 79.36% with random forest classifier, multilayer perceptron, and 82.53% with linear discriminant analysis, respectively. Our results show that the hybrid of entropy-FD features with KNN classifier can efficiently classify the cognition-based stimuli.
The Eutopian City: The Challenge of Urban Conviviality in the Laudato Si’ and Fratelli Tutti Encyclicals
Authors: de Oliveira Jelson Roberto , Ultramari Clovis
Published: August 2022

This article aims to show how the concept of the eutopian city can be used as a key for reading Pope Francis’s latest two encyclicals (Laudato Si’, from 2015 and Fratelli Tutti, from 2020). We highlight the ideal of conviviality in the notion of common home, political love, and social friendship, whose paradigm in contemporary urban life would be the experience of neighbourhood. This involves thinking of the city as a space of conviviality and the construction of a common project of society, overcoming the divisions of a closed world in favour of an open world. The papal texts therefore reveal formulation of a political proposal precisely at the time when politics was dying, fostered by new climate conditions and the renewed culture of walls.
Public Theology in the Context of the Religious Dualization Phenomenon in Multiple Modernities
Authors: Teixeira Alfredo , Boas Alex Villas , Zeferino Jefferson
Published: August 2022

This article aims to analyze the tasks of public theology concerning the religious phenomenon in a context of multiple modernities. The interaction of religion and public space may take the form of a disjunction between public and private that strengthens the rigid discourse of religious identity against a common project of society. In this context, the place of religion in the public life becomes a significant challenge for public theology. Therefore, in dialogue with the theoretical perspectives of Jürgen Habermas, David Tracy, Michel de Certeau, and Pope Francis, this text proposes a movement towards a complex and interdisciplinary approach that values a shared humanity and responsibility with the common home.
Population Structure and Genetic Diversity in Delphinium (Ranunculaceae) Using Scot Molecular Markers
Authors: LI JUANHUA , ESFANDANI-BOZCHALOYI SOMAYEH
Published: August 2022

The tribe Delphinieae (Ranunculaceae) comprises two species-rich genera, Aconitum and Delphinium, the latter including Consolida and Aconitella. The 650–700 species are distributed in Eurasia and North America; three species occur on tropical African mountains. Many species of Delphinieae are of horticultural importance or medical use and a few are well-studied in terms of genetic diversity and floral morphology and pollination. We sampled 19 populations from 19 Delphinium species throughout Iran. Start Codon Targeted (SCoT) primer were applied to calculate measures of genetic diversity at the population level and genetic differentiation. Amplification of genomic DNA using 10 primers produced 165 bands, of which 150 were polymorphic (94.48%). The obtained high average PIC and MI values revealed high capacity of SCoT primers to detect polymorphic loci among Delphinium. The genetic similarities of 19 collections were estimated from 0.62 to 0.96.  According to the SCoT markers analysis, D. lorestanicum and D. oliganthum had the lowest similarity and the species of D. hohenackeri and D. ajacis had the highest similarity.
Analysis of genetic diversity among five closely related species used as ‘Xihuangcao’ herbs using ISSR and SCoT molecular markers
Authors: YE ZI , MENG SHUANGSHUANG , Zhao Shuangshuang , GU JINGFENG , XIAO XIAOJI , ZHAN RUOTING , LIU JUNMIN
Published: August 2022

Many plants of the genus Isodon (Benth.) Kudo from Lamiaceae, such as Isodon serra (IS), Isodon lophanthoides (IL), etc., are widely used as the source of traditional Chinese herbal medicine “Xihuangcao” in Lingnan region of China. The origin of “Xihuangcao” herb is relatively chaotic and germplasm resources are unclear. In the present research, evaluation of genetic diversity and genetic variability in 358 accessions of ‘Xihuangcao’ herb from 33 populations were carried out based on ISSR and SCoT makers. Thirteen ISSR and 8 SCoT markers produced 491 and 272 fragments respectively, of which 99.80% (490) and 99.26% (270) were polymorphic, H=0.1719 I=0.1704 for ISSR and H=0.2057 I=0.3300 for SCoT revealed high genetic diversity. Both genetic differentiation analysis and AMOVA revealed higher variance among the populations than within populations. According to UPGMA and PCoA, the clustering patterns of populations were out of accordance with plant taxonomy or geographic distribution. This study showed that the germplasm resources of “Xihuangcao” had high genetic diversity, which could provide materials for excellent breed screening and core collections developing.
Gymnopus wutaishanensis (Omphalotaceae, Agaricales) a new species from North China
Authors: MAO NING , LIU HONG , FAN LI
Published: August 2022

Gymnopus wutaishanensis sp. nov. is described and illustrated from north China. Our molecular phylogenetic analyses based on ITS and LSU sequences supported the establishment of the new species and positioned it in Gymnopus sect. Impudicae. Morphologically, this new species is diagnosed by the combination of basidiomata with tangy and unpleasant odor when fresh, pale orange to pinkish brown pileus, white and relatively dense lamellae, hairy stipes and small basidiospores of (4–)5–6(–7) × (2–)2.5–4 μm.
Taxonomic and nomenclatural notes on Chilean Senecio (Asteraceae, Senecioneae), including a new particular species
Authors: CALVO JOEL , SALDIVIA PATRICIO
Published: August 2022

As part of ongoing studies on the genus Senecio in Chile, we here synonymize the name S. phylloleptus with S. reicheanus, as well as S. behnii with the retrieved name S. eriocladus. Furthermore, the original concept of S. coquimbensis is reestablished and its nomenclatural implications detailed. Finally, the identity and presence of S. saxicola in Chile is clarified and the new species S. ephemerus is described.
Strengthening Deliberation in Business: Learning From Aristotle’s Ethics of Deliberation
Authors: Frémeaux Sandrine , Voegtlin Christian
Published: August 2022

Deliberation has faced criticism with regard to its application to business, on the basis that it can be misused to disseminate an ideology, divert attention from genuine debates, or strengthen the power of certain people. We suggest that Aristotle’s notion of deliberation can mitigate these ethical risks and help companies strengthen their deliberative practices. A comprehensive perspective based on Aristotelian deliberation reveals the relevance of (a) individual and collective deliberation, promoting a virtuous and meaningful reflection, free from ideological conditioning; (b) deliberation on ends and means that facilitates a transcendental and rooted reflection, thereby avoiding artificial debates; and (c) deliberation that is decisive and cooperative and thus prevents instrumentalization of deliberation by the strongest. We contribute to the discussion of the relationship between business and society by identifying the different steps in the deliberative process and promoting a dynamic perspective on deliberation.
When the Right Thing to Do Is Also the Wrong Thing: Moral Sensemaking of Responsible Business Behavior During the COVID-19 Crisis
Authors: Reed Heidi
Published: August 2022

This study examines how individual members of the public make moral sense of the potentially conflicting “economic problem” or “public health problem” representations of the COVID-19 crisis when judging responsible business behavior. The data are based on a qualitative survey involving a thought experiment with 119 participants in the United States conducted at the initial stage of the pandemic. This article proposes a typology matrix using the theories of cognitive polyphasia and cognitive dissonance to understand better individual moral sensemaking of responsible business behavior in the context of a societal paradox in which there are contradictory and interdependent demands between important social objectives. The typology, referred to as the 4R Model of Moral Sensemaking of Competing Social Problems, provides insights for how companies may be perceived when responding to competing social problems, expanding the micro-CSR (corporate social responsibility) and paradox literatures.
Individual and Organizational Correlates of Morale Among Workers in a Youth and Family Court Agency
Authors: Kras Kimberly R. , Meyer Kimberly S. , Dmello Jared R. , Rudes Danielle S.
Published: August 2022

Morale is an important feature of organizational work life; however, few studies in criminal justice settings consider measuring morale in organizational surveys, nor how morale might link to other employee characteristics, like personal attitudes. The current study surveys 180 workers in a youth and family court setting to examine the relationship between morale and organizational- and individual-level factors. Survey results reveal positive feelings of morale overall; however, interaction effects suggest that type of staff and attitudes toward punishment impact morale, providing evidence that morale is a context dependent construct. By reconsidering dimensions of morale and situating it within a joint custodial and community supervision agency context, we contribute to the growing literature on organizational behavior in the youth justice setting.
CEO performance management behaviors’ influence on TMT flourishing, job attitudes, and firm performance
Authors: Christensen-Salem Amanda , Kinicki Angelo , Perrmann-Graham Jaclyn , Walumbwa Fred O
Published: August 2022

Does a chief executive officer’s (CEO’s) ability to manage and motivate their direct reports impact firm financial performance? Good or bad, CEO leadership research is increasingly romanticized, leading to investigations of CEO traits as visionary and transformational behaviors at the expense of understanding whether the mundane, everyday management of a top management team (TMT) is important for firm performance. In this article, we developed and tested a model linking CEO performance management behaviors and firm performance through two mediating mechanisms. We hypothesized and found a positive relationship between CEO performance management behaviors and TMT flourishing. TMT flourishing related to TMT overall job attitudes and subsequently firm performance. Additionally, performance management behaviors were related to TMT overall job attitudes via TMT flourishing and performance management behaviors related to firm performance via TMT flourishing and job attitudes. Our analyses were based on a unique sample of 105 CEOs and 519 TMT members (60% response rate for CEOs and 90% response rate for TMT members). These findings provide important research directions for CEO research, performance management, upper echelons, and positive psychology research, highlighting the importance of CEO managerially oriented behaviors to create more optimally functioning environments for the TMT and organization.
“I am African American”: Racial-ethnic self-designation, self-concept, and major depression among African Americans
Authors: Nicholson Harvey L.
Published: August 2022

Background:

Research remains mixed on whether racial-ethnic self-designation impacts psychological health and well-being among Americans of African descent. Existing studies mainly use non-representative samples to address this question. Some scholars argue that Black people who express an African-centered identity should experience improved mental health because it enhances one’s sense of self. However, what role self-designation may have on depression, one of the most common forms of disability, is largely unknown among African Americans. There is also limited evidence on whether one’s self-concept can help us understand the relationship between self-designation and mental health among African Americans.

Methods:

Using data from a national probability sample of African American adults ( n = 3,329), I examined whether self-designation as African American, Afro-American, Negro, Black American, or some other label versus Black was associated with self-esteem, mastery, and major depressive episodes.

Results:

Using OLS models, I found that respondents who preferred the terms African American or Afro-American exhibited higher mastery levels compared to individuals who preferred the label Black, the most common term used among respondents. African American identifying respondents also exhibited significantly higher levels of self-esteem compared to Black identifying individuals. Using logistic regression models, I found that only African American identifying respondents were significantly less likely than Black identifying respondents to meet the criteria for major depressive episodes in the past-year. Higher levels of mastery and self-esteem helped to explain such differences.

Conclusion:

In sum, among Americans of African descent, identification as African American rather than Black may help fight depressive episodes because such self-designation may enhance one’s self-concept. Further research is necessary to explore other possible psychological implications of self-designation among the African American/Black population.
HIF-2α Inhibits Ameloblast Differentiation via Hey2 in Tooth Development
Authors: Kimura S. , Takeshita N. , Oyanagi T. , Seki D. , Jiang W. , Hidaka K. , Fukumoto S. , Takahashi I. , Takano-Yamamoto T.
Published: August 2022

Enamel is the highly mineralized outer layer of teeth; the cells responsible for enamel formation are ameloblasts. Local hypoxia and hypoxia inducible factor (HIF) in embryonic tissues are important to promote normal organogenesis. However, hypoxic state in tooth germs and the roles of HIF in ameloblast differentiation have not been understood. The aim of this study is to clarify the role of HIF in ameloblast differentiation during tooth germ development. We found that tooth germs were under hypoxia and HIF-1α and HIF-2α were expressed in tooth germs in embryonic mice. Then, we used HIF inhibitors to evaluate the function of HIF during tooth germ development. The HIF-2α inhibitor significantly decreased the size of tooth germs in organ culture, while the HIF-1α inhibitor did not apparently affect the size of tooth germs. The HIF-2α inhibitor enhanced the expression of amelogenin, a marker of ameloblast differentiation, in the tooth germs in organ culture and rat dental epithelial SF2 cells. Moreover, we found that the HIF-2α inhibitor-stimulating amelogenin expression was regulated by hes-related family basic helix-loop-helix transcription factor with YRPW motif 2(Hey2) in SF2 cells. These findings suggest that the HIF-2α–Hey2 axis plays an important role in ameloblast differentiation during tooth germ development.
Automatic recognition of the neck–shoulder shape based on 2D photos
Authors: Zhang Jian , Xu Kaiyi , Zhao Songling , Wang Ruoweng , Gu Bingfei
Published: August 2022

To improve body type classification and automatic identification, this study adopted a method by combining three-dimensional (3D) point-cloud data with two-dimensional (2D) photos for the classification of young mens’ neck–shoulder shape. A total of 180 male college students were measured by photo and 3D body measuring methods to get the main body information. As for the 3D body cloud data, reverse engineering software was used to measure the parameters closely related to the neck–shoulder shape. Five important parameters, including the forward angle, back angle, shoulder angle, the ratio between neck and shoulder width, and the ratio between neck width and thickness were analyzed to divide young men’s neck–shoulder shape into three categories, namely round drop shoulder, forward round neck and wide straight neck, and the classification rules were established. As for the 2D photos (such as front and side photos), the human body contour was extracted to obtain the parameters required for neck–shoulder shape classification by identifying the feature points. The neck–shoulder shape could be automatically recognized, and the accuracy rate is 97.7% to verify that the neck–shoulder shape recognition system is effective. This study proposed a simple neck–shoulder shape automatic recognition method based on the 2D body photos, and provide reference for automatic neck–shoulder shape recognition, 3D modeling and virtual fitting of local features.
Liver abscesses caused by visceral larva migrans: Aimless wanderer separated from the host
Authors: Osama Md Ali , Dhawan Shashi , Ranjan Piyush , Singhvi Suresh
Published: August 2022

Visceral larva migrans (VLM) is a systemic zoonotic parasitic disease caused by migration of the second stage larva through viscera of humans. Despite being a foremost public health problem in low- and middle-income countries (LMICs) such as India, larva migrans remains an untended zoonosis. Here, we report two cases of VLM who presented with fever and abdominal pain for a prolonged duration. On further investigation, marked peripheral eosinophilia with multiple confluent necrotizing eosinophilic granulomas were identified on histopathological examination of the liver.
The moderating role of emotional engagement on the relation of anger regulation with later achievement in elementary school
Authors: O’Neal Colleen R. , Meyering Kristin , Babaturk Leyla , Gosnell Nicole , Weinberg Hayley
Published: August 2022

The objective of this study was to understand if and for whom anger regulation relates to later reading and math achievement. The sample included 267 upper elementary school students from two schools (5% Asian, 10% Black, 6% Latinx, 17% Multiethnic/Other, and 62% White; 36% dual language learner; 60% female; average age = 9.7 years). Self-reported anger regulation and self- and teacher-reported emotional engagement were assessed. Then, reading and math standardized achievement were tested by the schools approximately three months later. Latent variable path analyzes suggested that withdrawal when experiencing anger (“anger withdraw”) had a significant, positive relation with later reading and math achievement outcomes, when controlling for other anger regulation strategies and demographics. Latent student- and teacher-reported emotional engagement moderated the relation of anger withdraw with later reading achievement. Discussion centers on anger regulation, moderation, and implications of anger regulation for school psychologists.
Tectonic control law and zoning division of coal seam gas occurrence in Sichuan Province
Authors: Jia Tianrang , Xiong Jianlong , Yan Jiangwei
Published: August 2022

Understanding the coal seam gas occurrence law is the premise and foundation of gas disaster prevention and production planning. The tectonic control law and zoning division of gas occurrence in Sichuan Province have been discussed, based on the gradual tectonic control theory for gas occurrence, combined with coal mine gas-geology data and a geological survey in Sichuan Province. The obtained results indicate that the generation, migration, and preservation of gas are controlled by the formation and development, cracking, subduction collision, and intracontinental orogeny of the upper Yangtze block. The gas occurrence and distribution characteristics in Sichuan Province are significant. Gas occurrence of Late Permian coal seams is significantly higher than that of Late Triassic coal seams, as 85.7% of the outburst mines in the Sichuan Province are distributed into the Late Permian coal seams. The Late Permian coal seams in the Xuyong-Junlian superimposed fold belt and Huayingshan detachment fold belt are high gas occurrence zones. These zones had been under strong tectonic compression for several years, thereby resulting in interlayer sliding, formation of stratified tectonic coal, and high degree of coal metamorphism and high gas content, which represent the fundamental reasons why 84.3% of outburst mines in Sichuan Province are located in these two regions. According to the tectonic control law and characteristics of coal seam gas occurrence in Sichuan Province, the gas occurrence zones of coal seam in Sichuan Province were divided into three high gas and outburst zones, three high gas zones and one low gas zone; in addition, their tectonic control characteristics and gas occurrence characteristics were analysed.
Criminal records and public sector professional education: The role of criminal background checks in admissions to social work courses in England
Authors: Bald Caroline , Wyllie Aaron , Martínez Herrero María Inés
Published: August 2022

Over 11 million people in England and Wales have criminal records, with men, people from Black, Asian and Minority Ethnic backgrounds and people from poorer communities being over-represented. A gatekeeping discussion is developing across the social work profession regarding the role of criminal records in decision-making at the point of admission to social work programmes. Balancing risk, representation, and the right to move on, who becomes a social worker is an issue of debate among practitioners, educators, and policy makers, where notable instances of media and political focus on social work failure has led to public mistrust, and moral panic about the state of the profession. Whilst internationally many social work education providers have moved away from interview gatekeeping, in England this has continued, alongside wider checks including for criminal records. This discussion article reviews what social working with a criminal record represents in the profession and why course admissions is a site for restorative justice and the human right to move on.
Impact of iodinated contrast media concentration on image quality for dual-energy CT and single-energy CT with low tube voltage settings
Authors: Sookpeng Supawitoo , Martin Colin J
Published: August 2022

Background

Contrast-induced nephropathy (CIN) is an adverse reaction associated with the use of intravenous contrast media (CM).

Purpose

To investigate the impact of low tube voltage settings on single-energy computed tomography (SECT) and rapid kV switching dual-energy CT (DECT) with reduced concentrations of iodinated CM.

Material and Methods

A phantom containing four different concentrations of CM (original concentration CM, 20%, 40%, and 60% reductions) was scanned using SECT mode with varying tube voltages (70, 80, 100, and 120 kVp) and DECT mode through reconstructing monoenergetic energy (50 keV and 70 keV) images. ATCM system with different noise index (NI) settings were set, and the images were reconstructed using ASiR-V. Image quality were measured for individual phantom sizes and protocols and compared to a reference protocol for SECT of 120 kVp, NI = 18, threshold contrast enhancement ≥280 HU, and CNR ≥17.

Results

Tube voltage settings of 70 kVp together with 40% reduction in the iodinated CM is suitable for small phantom size, those of 80 kVp and 20% reduction is suitable for the medium and large sizes. This allows radiation doses to be reduced by 12%–30%. Values of CNR and contrast for DECT are better than those for SECT with the same NI setting.

Conclusion

Diagnostic reference of image quality can be maintained by using SECT with lower tube voltage and DECT with reductions of iodinated CM concentration and radiation dose. Therefore, the NI setting can be increased when DECT is used to achieve a similar image quality.