bluuebunny/crossref_metadata_2025 huggingface dataset:
An Automated Glowworm Swarm Optimization with an Inception-Based Deep Convolutional Neural Network for COVID-19 Diagnosis and Classification
Authors: Abunadi Ibrahim , Albraikan Amani Abdulrahman , Alzahrani Jaber S. , Eltahir Majdy M. , Hilal Anwer Mustafa , Eldesouki Mohamed I. , Motwakel Abdelwahed , Yaseen Ishfaq
Published: April 2022

Recently, the COVID-19 epidemic has had a major impact on day-to-day life of people all over the globe, and it demands various kinds of screening tests to detect the coronavirus. Conversely, the development of deep learning (DL) models combined with radiological images is useful for accurate detection and classification. DL models are full of hyperparameters, and identifying the optimal parameter configuration in such a high dimensional space is not a trivial challenge. Since the procedure of setting the hyperparameters requires expertise and extensive trial and error, metaheuristic algorithms can be employed. With this motivation, this paper presents an automated glowworm swarm optimization (GSO) with an inception-based deep convolutional neural network (IDCNN) for COVID-19 diagnosis and classification, called the GSO-IDCNN model. The presented model involves a Gaussian smoothening filter (GSF) to eradicate the noise that exists from the radiological images. Additionally, the IDCNN-based feature extractor is utilized, which makes use of the Inception v4 model. To further enhance the performance of the IDCNN technique, the hyperparameters are optimally tuned using the GSO algorithm. Lastly, an adaptive neuro-fuzzy classifier (ANFC) is used for classifying the existence of COVID-19. The design of the GSO algorithm with the ANFC model for COVID-19 diagnosis shows the novelty of the work. For experimental validation, a series of simulations were performed on benchmark radiological imaging databases to highlight the superior outcome of the GSO-IDCNN technique. The experimental values pointed out that the GSO-IDCNN methodology has demonstrated a proficient outcome by offering a maximal sensy of 0.9422, specy of 0.9466, precn of 0.9494, accy of 0.9429, and F1score of 0.9394.
Comparative Study on Chemical Constituents of Medicinal and Non-Medicinal Parts of Flos Abelmoschus manihot, Based on Metabolite Profiling Coupled with Multivariate Statistical Analysis
Authors: Yin Shengxin , Cai Zhichen , Chen Cuihua , Mei Yuqi , Wei Lifang , Liu Shengjin , Zou Lisi , Wu Nan , Yuan Jiahuan , Liu Xunhong , Ge Haitao , Wang Dianguang , Wang Dandan
Published: April 2022

According to Chinese Pharmacopoeia (2020 edition), Abelmoschi Corolla (AC) is the dried corolla of Flos Abelmoschus manihot (FAM). Market research has found that AC is often mixed with the non-medicinal parts in FAM, including calyx, stamen, and pistil. However, previous studies have not clarified the relationship between the medicinal and non-medicinal parts of FAM. In this study, in order to investigate whether there is any distinction between the medicinal and non-medicinal parts of FAM, the characterization of the constituents in calyx, corolla, stamen, and pistil was analyzed by UFLC-Triple TOF-MS/MS. Multivariate statistical analysis was used to classify and screen differential constituents between medicinal and non-medicinal parts of FAM, and the relative contents of differential constituents were compared based on the peak intensities. Results showed that 51 constituents in medicinal and non-medicinal parts of FAM were identified, and the fragmentation pathways to different types of constituents were preliminarily deduced by the fragmentation behavior of the identified constituents. Furthermore, multivariate statistical analysis revealed that the medicinal and non-medicinal parts of FAM differed significantly; 20 differential constituents were screened out to reveal the characteristics of metabolic differences. Among them, the relative contents of 19 differential constituents in the medicinal part were significantly higher than those in non-medicinal parts. This study could be helpful in the quality evaluation of AC as well as provide basic information for the improvement of the market standard of AC.
An Efficient Plane-Segmentation Method for Indoor Point Clouds Based on Countability of Saliency Directions
Authors: Ge Xuming , Zhang Jingyuan , Xu Bo , Shu Hao , Chen Min
Published: April 2022

This paper proposes an efficient approach for the plane segmentation of indoor and corridor scenes. Specifically, the proposed method first uses voxels to pre-segment the scene and establishes the topological relationship between neighboring voxels. The voxel normal vectors are projected onto the surface of a Gaussian sphere based on the corresponding directions to achieve fast plane grouping using a variant of the K-means approach. To improve the segmentation integration, we propose releasing the points from the specified voxels and establishing second-order relationships between different primitives. We then introduce a global energy-optimization strategy that considers the unity and pairwise potentials while including high-order sequences to improve the over-segmentation problem. Three benchmark methods are introduced to evaluate the properties of the proposed approach by using the ISPRS benchmark datasets and self-collected in-house. The results of our experiments and the comparisons indicate that the proposed method can return reliable segmentation with precision over 72% even with the low-cost sensor, and provide the best performances in terms of the precision and recall rate compared to the benchmark methods.
Experimental Study on the Physical and Mechanical Characteristics of Roller Compacted Concrete Made with Recycled Aggregates
Authors: Kheirbek Ali , Ibrahim Ali , Asaad Majed , Wardeh George
Published: April 2022

A huge volume of waste is generated by natural and human-made disasters and by rapid urbanization that leads to the demolition of structures reaching the end of their service life. Using recycled aggregates in concrete producing reduces environmental pollution by decreasing the disposal of this waste material in landfills and preserving unreasonable exploitation of natural resources. This manuscript presents the results of an experimental program aiming to study the effect of recycled aggregates on the physical and the mechanical properties of roller compacted concrete (RCC). A Dreux–Gorisse mix design method together with the modified proctor test were adopted to prepare a reference mixture with natural aggregates with three derived mixtures where coarse aggregates were replaced by 50%, 70%, and 100% of recycled aggregates. The physical properties of RCC were evaluated by means of water absorption and gas permeability tests while the mechanical properties were evaluated using compressive, tensile splitting and 3-point flexural tests. The results of physical tests showed that both water absorption ability and gas permeability increase proportionally with the replacement ratios. The results of the mechanical tests showed that the compressive strength class was approximately constant for all developed mixtures at the age of 28 days. For a substitution ratio of 100%, a drop in the compressive strength of only 6% was recorded. The reduction in the tensile and flexural strength was more pronounced than the compressive strength and was about 10% for the mixture of 100% recycled aggregates. It was found that the strength increases with time, and it can be estimated at any age using the analytical models adopted for conventional hydraulic concretes. Based on the obtained results, it was concluded that recycled aggregates up to 50% don’t negatively affect the physical and mechanical properties of RCC.
Full-Field Deformation-Aided Compressive Failure Evaluation of Seawater Concrete Using Digital Image Correlation Technique
Authors: Yuan Yuan , Wang Lixin , Wu Zhirui , Mou Wensong , Feng Xiaotian , Liu Jinzhe , Wang Xiaohui , Yang Xiao
Published: April 2022

Seawater-based concrete has been increasingly employed in offshore construction engineering, especially where the construction materials and freshwater are inconvenient to access. In this paper, a full-field compressive deformation evaluation scheme was constructed by introducing the digital image correlation (DIC) technique in the uniaxial compression test for four kinds of seawater concrete fabricated by ordinary Portland cement (OPC) and calcium aluminate cement (CAC) when cured in freshwater and seawater conditions for 28 days, respectively. Digital speckle image sequences of the decorated concrete samples were simultaneously recorded during the compression test process, and thus, displacement fields of concrete cubes were mathematically obtained by way of correlation registration algorithms. On this basis, the normal strain, shear strain, and volumetric strain fields all over the front surface of the concrete samples were calculated with the aid of strain window method. In addition, compressive load-induced cracks were quantitatively tracked from the volumetric strain data. Subsequently, the full-field deformation-aided volumetric strain histogram percentage was computed to comparatively evaluate the failure behavior of four groups of seawater concretes. It was revealed that both the OPC and CAC-based seawater concretes gained enhanced strength under the seawater curing condition, but the OPC-S exhibited larger and more concentrated local deformation compared with OPC-F whereas the deformation of CAC-S was adversely widely spread in comparison with CAC-F.
Deployment of Interpretive Structural Modeling in Barriers to Industry 4.0: A Case of Small and Medium Enterprises
Authors: Goel Pankaj , Kumar Raman , Banga Harish Kumar , Kaur Swapandeep , Kumar Rajesh , Pimenov Danil Yurievich , Giasin Khaled
Published: April 2022

Small and medium enterprises (SMEs) are vital contributors and significant drivers of any manufacturing sector. The Industry 4.0 (I 4.0) revolution has made the global economy highly competitive and automated, requiring Indian SMEs to adapt more quickly. Therefore, this study aimed to identify the barriers to implementing I 4.0, simplifying the complex interrelationship among such barriers with the help of a suitable model, categorizing them as independent and dependent ones, and, ultimately, leveling the same drivers, autonomous linkages, and dependent forces. The present investigation thoroughly examined the existing literature and summarized the list of barriers into fifteen significant barriers to the smooth establishment of Industry 4.0 in India. The identified barriers were analyzed with the help of Interpretive Structural Modeling (ISM) Diagraph and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis. This study was able to explore the interrelationship among these barriers. The study has found found a lack of support from stakeholders, and insufficient managerial support emerged as a major factor neglected by Indian SMEs. However, uncertainty in the predicted demand for products, the lack of an alternate solution to the technological breakdown, and doubt about the sustainability of Industry 4.0 (relating to its potential to lead to unemployment in society, etc.) are significant contingent barriers. These barriers can impact the other strategic choices related to the successful implementation of Industry 4.0. This study’s observations can help decision-makers make strategic decisions to manage the barriers affecting Industry 4.0 in Indian SMEs. This research revealed a scope that can be extended to other South Asian and developing nations. The results of the present work can be further studied with structural equation modeling (SEM) and multiple regression analysis (MRA).
Improved Cubature Kalman Filtering on Matrix Lie Groups Based on Intrinsic Numerical Integration Error Calibration with Application to Attitude Estimation
Authors: Guo Huijuan , Zhou Yan , Liu Huiying , Hu Xiaoxiang
Published: April 2022

This paper investigates the numerical integration error calibration problem in Lie group sigma point filters to obtain more accurate estimation results. On the basis of the theoretical framework of the Bayes–Sard quadrature transformation, we first established a Bayesian estimator on matrix Lie groups for system measurements in Euclidean spaces or Lie groups. The estimator was then employed to develop a generalized Bayes–Sard cubature Kalman filter on matrix Lie groups that considers additional uncertainties brought by integration errors and contains two variants. We also built on the maximum likelihood principle, and an adaptive version of the proposed filter was derived for better algorithm flexibility and more precise filtering results. The proposed filters were applied to the quaternion attitude estimation problem. Monte Carlo numerical simulations supported that the proposed filters achieved better estimation quality than that of other Lie group filters in the mentioned studies.
Mathematical Thinking and the VESS Model: A Descriptive Study
Authors: Romero-Esquinas María Helena , Muñoz-González Juan Manuel , Vega-Gea Esther María , Hidalgo-Ariza María Dolores
Published: April 2022

Critical, creative, and flexible thinking is one of the educational priorities in the 21st Century, at a time in which the world is showing its most ephemeral and uncertain side. In this sense, visible thinking is a fundamental tool for achieving more significant and meaningful learning. The VESS (Meaningful Life with Balance and Wisdom) model, considering how we learn, provides different tools, such as the aforementioned, which facilitate learning. Thus, thinking, and, more specifically, the development of mathematical thinking through the VESS model, provides an open door towards the development of basic cognitive skills, such as attention, metacognition, and memory, and has a direct effect on the three areas of the early childhood education curriculum. The aim of the present work is to discover, in a descriptive manner, how the learning of the VESS model influences future teachers. In the present article, a series of descriptive, correlational, and survey-based models conducted at the University of Cordoba (Córdoba, Spain) are described. Beforehand, a validation of the instrument was performed, which obtained high goodness-of-fit indices, with an adequate validity and reliability.
A General Framework for Flight Maneuvers Automatic Recognition
Authors: Lu Jing , Chai Hongjun , Jia Ruchun
Published: April 2022

Flight Maneuver Recognition (FMR) refers to the automatic recognition of a series of aircraft flight patterns and is a key technology in many fields. The chaotic nature of its input data and the professional complexity of the identification process make it difficult and expensive to identify, and none of the existing models have general generalization capabilities. A general framework is proposed in this paper, which can be used for all kinds of flight tasks, independent of the aircraft type. We first preprocessed the raw data with unsupervised clustering method, segmented it into maneuver sequences, then reconstructed the sequences in phase space, calculated their approximate entropy, quantitatively characterized the sequence complexity, and distinguished the flight maneuvers. Experiments on a real flight training dataset have shown that the framework can quickly and correctly identify various flight maneuvers for multiple aircraft types with minimal human intervention.
Economical-Environmental-Technical Operation of Power Networks with High Penetration of Renewable Energy Systems Using Multi-Objective Coronavirus Herd Immunity Algorithm
Authors: Ali Ziad M. , Aleem Shady H. E. Abdel , Omar Ahmed I. , Mahmoud Bahaa Saad
Published: April 2022

This paper proposes an economical-environmental-technical dispatch (EETD) model for adjusted IEEE 30-bus and IEEE 57-bus systems, including thermal and high penetration of renewable energy sources (RESs). Total fuel costs, emissions level, power losses, voltage deviation, and voltage stability are the five objectives addressed in this work. A large set of equality and inequality constraints are included in the problem formulation. Metaheuristic optimization approaches—Coronavirus herd immunity optimizer (CHIO), salp swarm algorithm (SSA), and ant lion optimizer (ALO)—are used to identify the optimal cost of generation, emissions, voltage deviation, losses, and voltage stability solutions. Several scenarios are reviewed to validate the problem-solving competency of the defined optimisation model. Numerous scenarios are studied to verify the proficiency of the optimisation model in problem-solving. The multi-objective problem is converted into a normalized one-objective issue through a weighted sum-approach utilizing the analytical hierarchy process (AHP). Additionally, the technique for order preference by similarity to ideal solution (TOPSIS) is presented for identifying the optimal value of Pareto alternatives. Ultimately, the results achieved reveal that the proposed CHIO performs the other approaches in the EETD problem-solving.
Complex Modified Projective Difference Function Synchronization of Coupled Complex Chaotic Systems for Secure Communication in WSNs
Authors: Zhang Fangfang , Gao Rui , Huang Zhe , Jiang Cuimei , Chen Yawen , Zhang Haibo
Published: April 2022

Complex-variable chaotic systems (CVCSs) have numerous advantages over real-variable chaotic systems in chaos communication due to their increased unpredictability, confidentiality, and the ease of implementation. Synchronization between the master and slave systems in CVCSs is key to achieving encryption and decryption. However, existing synchronization schemes for CVCSs require the amplitude of the chaotic signal to be much larger than that of the plaintext. Moreover, traditional chaotic masking of complete synchronization (CS) requires uniformity between the transmitter and receiver ends. Therefore, we propose a complex modified projective difference function synchronization (CMPDFS) of CVCSs to address these issues, where the modified projective matrix helps address the issues with the amplitude. The receiver end is reconstructed without uniformity of the transmitter. We design the CMPDFS controller and propose a new secure communication scheme for wireless sensor networks (WSNs). The basic principle is fundamentally different from traditional chaotic masking. Simulation results and security analysis demonstrate that the CMPDFS communication scheme has a large key space, high sensitivity to encryption keys, high security, and an acceptable encryption speed. Hence, the proposed scheme can improve the security of WSNs. Moreover, it also can be applied to similar communication systems.
δ-Complement of a Graph
Authors: Pai Amrithalakshmi , Rao Harshitha A. , D’Souza Sabitha , Bhat Pradeep G. , Upadhyay Shankar
Published: April 2022

Let G(V,X) be a finite and simple graph of order n and size m. The complement of G, denoted by G¯, is the graph obtained by removing the lines of G and adding the lines that are not in G. A graph is self-complementary if and only if it is isomorphic to its complement. In this paper, we define δ-complement and δ′-complement of a graph as follows. For any two points u and v of G with degu=degv remove the lines between u and v in G and add the lines between u and v which are not in G. The graph thus obtained is called δ-complement of G. For any two points u and v of G with degu≠degv remove the lines between u and v in G and add the lines between u and v that are not in G. The graph thus obtained is called δ′-complement of G. The graph G is δ(δ′)-self-complementary if G≅Gδ(G≅Gδ′). The graph G is δ(δ′)-co-self-complementary if Gδ≅G¯(Gδ′≅G¯). This paper presents different properties of δ and δ′-complement of a given graph.
The Fundamental Lepage Form in Two Independent Variables: A Generalization Using Order-Reducibility
Authors: Urban Zbyněk , Volná Jana
Published: April 2022

A second-order generalization of the fundamental Lepage form of geometric calculus of variations over fibered manifolds with 2-dimensional base is described by means of insisting on (i) an equivalence relation “Lepage differential 2-form is closed if and only if the associated Lagrangian is trivial” and (ii) the principal component of Lepage form, extending the well-known Poincaré–Cartan form, preserving order prescribed by a given Lagrangian. This approach completes several attempts of finding a Lepage equivalent of a second-order Lagrangian possessing condition (i), which is well-known for first-order Lagrangians in field theory due to Krupka and Betounes.
Optimal Bayesian Estimation of a Regression Curve, a Conditional Density, and a Conditional Distribution
Authors: Nogales Agustín G.
Published: April 2022

In this paper, several related estimation problems are addressed from a Bayesian point of view, and optimal estimators are obtained for each of them when some natural loss functions are considered. The problems considered are the estimation of a regression curve, a conditional distribution function, a conditional density, and even the conditional distribution itself. These problems are posed in a sufficiently general framework to cover continuous and discrete, univariate and multivariate, and parametric and nonparametric cases, without the need to use a specific prior distribution. The loss functions considered come naturally from the quadratic error loss function commonly used in estimating a real function of the unknown parameter. The cornerstone of these Bayes estimators is the posterior predictive distribution. Some examples are provided to illustrate the results.
Thyroid Dysfunction among Hypertensive Pregnant Women in Warri, Delta State, Nigeria
Authors: Nwabudike Philomena , Emokpae Mathias Abiodun
Published: April 2022

The hypertensive pregnant woman is at a higher risk of complications either before, during or after birth and the baby can be adversely affected leading to preterm birth, low birth weight, placental separation (abruption) and other complications. The aim of the study was to evaluate thyroid dysfunction among pregnant women with hypertension. The study participants were 150 hypertensive pregnant women, 25 non-hypertensive pregnant women and 25 non-hypertensive non-pregnant women. Exactly 5mL of blood was collected and used for the assay of triiodothyronine (T3), thyroxine (T4) and thyroid-stimulating hormone (TSH) using the enzyme-linked immunosorbent assay technique. Data were analyzed using appropriate statistical tools. The results showed a significantly higher (p < 0.05) age among hypertensive pregnant women when compared with non-hypertensive pregnant women and non-hypertensive non-pregnant women. The serum TSH was significantly higher (p < 0.035) among hypertensive pregnant women when compared with non-hypertensive pregnant women. The triiodothyronine (T3) of hypertensive pregnant women was observed to be significantly higher (p < 0.05) when compared with both non-hypertensive pregnant women and non-hypertensive non-pregnant women. Some 15/150 (10%) of hypertensive pregnant women had subclinical hypothyroidism, 13/150 (8.7%) had overt hypothyroidism, while 122/150 (81.3%) were euthyroid. Among those with thyroid dysfunction, five and four of the subjects had subclinical hypothyroidism and overt hypothyroidism during the second trimester, while ten and nine had subclinical hypothyroidism and overt hypothyroidism during the third trimester, respectively. Evaluation of hypertensive pregnant women for thyroid function may be routinely performed to enable early diagnosis and treatment.
Rashba Spin Splitting in HgCdTe Quantum Wells with Inverted and Normal Band Structures
Authors: Gudina Svetlana V. , Neverov Vladimir N. , Popov Mikhail R. , Turutkin Konstantin V. , Podgornykh Sergey M. , Shelushinina Nina G. , Yakunin Mikhail V. , Mikhailov Nikolay N. , Dvoretsky Sergey A.
Published: April 2022

In quantum wells (QWs) formed in HgCdTe/CdHgTe heterosystems with a variable composition of Cd(Hg), Shubnikov-de-Haas (SdH) oscillations are investigated to characterize the Rashba-type spin-orbit coupling in QWs with both a normal and inverted band structure. Several methods of extracting the Rashba spin-splitting at zero magnetic field and their magnetic field dependences from the beatings of SdH oscillations are used for greater reliability. The large and similar Rashba splitting (25–27 meV) is found for different kinds of spectrum, explained by a significant fraction of the p-type wave functions, in both the E1 subband of the sample with a normal spectrum and the H1 subband for the sample with an inverted one.
On-Demand Phase Control of a 7-Fiber Amplifiers Array with Neural Network and Quasi-Reinforcement Learning
Authors: Shpakovych Maksym , Maulion Geoffrey , Boju Alexandre , Armand Paul , Barthélémy Alain , Desfarges-Berthelemot Agnès , Kermene Vincent
Published: April 2022

We report a coherent beam combining technique using a specific quasi-reinforcement learning scheme. A neural network learned by this method enables the tailoring and locking of a tiled beam array on any phase map. We present the experimental implementation of on-demand phase control by a neural network in a seven-fiber laser array. This servo loop needs only six phase corrections to converge to the desired phase set at any profile, with a bandwidth higher than 1 kHz. Moreover, we demonstrate the dynamical feature of adaptive phase control, performing sequences of controlled phase sets. It is the first time, to the best of our knowledge, that an actual array of seven-fiber amplifiers has been successfully phase-locked and controlled by machine learning.
Development and In Vitro Cytotoxicity of Citrus sinensis Oil-Loaded Chitosan Electrostatic Complexes
Authors: de Toledo Antonio M. N. , Machado Adriana R. , de Souza-Soares Leonor A.
Published: April 2022

Electrostatic complexes based on chitosan, lecithin, and sodium tripolyphosphate were produced and evaluated with respect to their encapsulation capacity and cytotoxicity. Physical chemical properties were determined by zeta potential values and size distributions. For encapsulation assays, the emulsification method was followed, and Citrus senensis peel oil was utilized as volatile compound model. Morphology of complexes with oil incorporated was observed by scanning electron microscopy. The cytotoxicity of complexes was related to cell viability of zebrafish hepatocytes. The complexes produced presented positive Zeta potential values and size distributions dependent on the mass ratio between compounds. Higher concentrations of sodium tripolyphosphate promote significant changes (p < 0.05) in zeta values, which did not occur at smaller concentrations of the crosslinking agent. These complexes were able to encapsulate Citrus sinensis peel oil, with encapsulation efficiency higher than 50%. Cytotoxicity profiles showed that in a range of concentrations (0.1–100 μg/mL) studied, they did not promote cellular damage in zebrafish liver cells, being potential materials for food and pharmaceutical applications.
Environmental Aspects of the Combined Cooling, Heating, and Power (CCHP) Systems: A Review
Authors: Salimi Mohsen , Hosseinpour Morteza , Mansouri Shabnam , N.Borhani Tohid
Published: April 2022

Expanding cities means increasing the need for energy in the residential sector. The supply of this energy must be in environmentally friendly ways; one method of meeting demand in the residential sector is the use of combined cooling, heating, and power (CCHP) systems. The current review paper shows that due to the high cost of gas and electricity, CCHP can be used in various sectors, such as hospitals and airports, to reduce energy consumption with lower environmental impacts by using renewable energy systems as the main driver. While CCHP systems are not feasible in tropical regions with high cooling demand, a solar hybrid system is a superior candidate for regions with sufficient radiation. CCHP can also be used in sectors such as wastewater treatment units, desalination systems, and hydrogen production units to improve performance and increase productivity. The carbon and water footprints of CCHP systems are discussed in detail. The main drivers for reducing carbon and water footprints are improving system components such as the combustion engine and increasing productivity by expanding the system to multi-generation systems. Finally, the carbon tax index can help reduce carbon emissions if properly used in the right context. Based on our best knowledge, there is no extensive review of the environmental aspects of CCHP systems in the literature.
The Original Text of the Daodejing: Disentangling Versions and Recensions
Authors: Michael Thomas
Published: April 2022

The Daodejing is counted among the greatest works of world philosophy and literature, but it is a short work that is exceedingly difficult to comprehend. Among several reasons for this is that no one knows the actual words and form of its original text. Assessing the differences between any two editions of it is a simple task when they are laid next to each other, but it is not possible to lay any edition of the Daodejing next to its original text to assess their differences, because no one has ever seen the original text of the Daodejing, and no one knows its actual words and form. Approaching the original text is only made possible through its representations and reflections in later editions that we do possess, some of them transmitted and others excavated. Any possible access to the original text, to any degree whatsoever, is dependent on how these later editions are managed. Sinology manages them with the recension category whereas Laozi Studies manages them with the version category. This study examines, disentangles, and assesses the different ways that these two categories are used with the intended effect of approaching the original text of the Daodejing.
Sex Offenses—Offensive Sex: Some Observations on the Recent Reform of Ecclesiastical Penal Law
Authors: Hahn Judith
Published: April 2022

In recent years, the sexual abuse of minors and vulnerable adults in the Catholic Church has received much attention. This is also true of the related changes to ecclesiastical legislation. Less attention, however, has been paid to other aspects of the reform. The revised penal law of the Code of Canon Law, in any case, demands closer study from the point of critical legal studies. It is striking that while the reform focused on improving the legal protection of minors, it also had rather detrimental effects on the legal standing of women in the church. Reading the revised law, it appears that the reform missed the chance to improve the legal situation of the mostly female adult victims of clerical sex offenses and abuses of power. It rather spotlighted “female” offenses such as abortion in contrast to typical “male” offenses such as homicide, and it moreover criminalized women who attempt ordination. Thus, the regulations of the reformed penal law not only generally leave the systemic causes of abuse untouched, but also establish norms which reinvent or even exacerbate abusive structures. The latter finally sustain clericalism and reinstitutionalize gender inequality, commonly identified as factors fostering abuse.
The Moderating Impact of the Audit Committee on Creative Accounting Determination and Financial Reporting Quality in Iraqi Commercial Banks
Authors: Abed Ibtihal A. , Hussin Nazimah , Haddad Hossam , Al-Ramahi Nidal Mahmoud , Ali Mostafa A.
Published: April 2022

The main function behind the conceptualization of creative accounting is maintaining the quality of financial reporting practice. This phenomenon has attracted the attention of researchers for decades, especially in the banking sector, concerning its wide implications and indications for stakeholders, investors, policy makers and competitiveness. However, the practice of creative accounting is accompanied by some undesirable implications resulting from manipulation procedures. Detailed investigations in the previous literature found limited implications of creative accounting determinants on this practice. Thus, the present study investigated the moderation impact of the audit committee in enhancing the impacts of creative accounting determinants and financial reporting quality in the context of commercial banking. A deductive research approach driven by a survey questionnaire was used as the methodology to attain the designed objectives. The analysed data contributed to providing theoretical conceptualization and practical validation of the moderation impacts of the audit committee on creative accounting determinants and financial reporting quality of the banks regarding designed advantages. In addition, the present findings showed that the audit committee highly moderates the determination of creative accounting regarding financial reporting quality in the commercial banking sector. Lastly, the present study introduces the necessity to use such corporate practice for the beneficial parties as the defense line to reduce manipulation practices and enhance the quality of financial reporting.
Hierarchical Disentangling Network for Building Extraction from Very High Resolution Optical Remote Sensing Imagery
Authors: Li Jianhao , Zhuang Yin , Dong Shan , Gao Peng , Dong Hao , Chen He , Chen Liang , Li Lianlin
Published: April 2022

Building extraction using very high resolution (VHR) optical remote sensing imagery is an essential interpretation task that impacts human life. However, buildings in different environments exhibit various scales, complicated spatial distributions, and different imaging conditions. Additionally, with the spatial resolution of images increasing, there are diverse interior details and redundant context information present in building and background areas. Thus, the above-mentioned situations would create large intra-class variances and poor inter-class discrimination, leading to uncertain feature descriptions for building extraction, which would result in over- or under-extraction phenomena. In this article, a novel hierarchical disentangling network with an encoder–decoder architecture called HDNet is proposed to consider both the stable and uncertain feature description in a convolution neural network (CNN). Next, a hierarchical disentangling strategy is set up to individually generate strong and weak semantic zones using a newly designed feature disentangling module (FDM). Here, the strong and weak semantic zones set up the stable and uncertain description individually to determine a more stable semantic main body and uncertain semantic boundary of buildings. Next, a dual-stream semantic feature description is built to gradually integrate strong and weak semantic zones by the designed component feature fusion module (CFFM), which is able to generate a powerful semantic description for more complete and refined building extraction. Finally, extensive experiments are carried out on three published datasets (i.e., WHU satellite, WHU aerial, and INRIA), and the comparison results show that the proposed HDNet outperforms other state-of-the-art (SOTA) methods.
Digital Inclusive Finance, Environmental Regulation, and Regional Economic Growth: An Empirical Study Based on Spatial Spillover Effect and Panel Threshold Effect
Authors: Ding Rijia , Shi Fenfen , Hao Suli
Published: April 2022

The development of digital financial inclusion has added a new vitality to economic growth, and environmental regulation is an important tool to achieve sustainable economic growth. Therefore, whether there is a synergistic effect between these two factors of economic growth is a topic worth exploring. This paper uses the space econometric model and threshold model to explore the impact of digital financial inclusion and environmental regulation on regional economic growth using panel data from 30 Chinese provinces, collected between 2011 and 2019. The research results prove that the development of digital financial inclusion and the improvement in the intensity of environmental regulation have a significant direct promotion effect and negative spatial spillover effect on regional economic growth. Moreover, the two have a significant synergistic effect on regional economic growth. A panel threshold analysis showed that, with the improvement in the level of digital financial inclusion, the regression coefficient of environmental regulation changed from negative to positive, which played a significant role in promoting regional economic growth. The heterogeneity analysis found that digital inclusive finance in eastern regions of China plays a greater role in promoting the economy, whereas environmental regulation in the central region plays a greater role in promoting the economy. The synergy between the two in the central region greatly promotes economic development. When digital inclusive finance is used as the threshold variable, environmental regulation in eastern and western regions has a single-threshold effect on regional economic development. Based upon these research results, this paper proposes that a coordination mechanism between digital financial inclusion and environmental regulation should be established to give full play to their synergies in sustainable economic growth.
Introduction to Quantization of Conformal Gravity
Authors: Rachwał Lesław
Published: April 2022

A method for consistent quantization of conformal gravity treating conformal symmetry in a very controllable way is presented. First, we discuss local conformal symmetry in the framework of gravitational interactions, where we view it as an example of a general gauge theory. We also present some early attempts at quantization of conformal gravity and use the generalized framework of covariant quantization due to Faddeev and Popov. Some salient issues such as the need for conformal gauge-fixing, an issue with conformal third ghosts, and discontinuities in conformal gravity are studied as well. Finally, we provide some explanations of the original ad hoc methods of computation valid at the first quantum loop level in conformal gravity.
Concurrent Effects between Geomagnetic Storms and Magnetospheric Substorms
Authors: Alberti Tommaso , Faranda Davide , Consolini Giuseppe , De Michelis Paola , Donner Reik V. , Carbone Vincenzo
Published: April 2022

An accurate understanding of dissimilarities in geomagnetic variability between quiet and disturbed periods has the potential to vastly improve space weather diagnosis. In this work, we exploit some recently developed methods of dynamical system theory to provide new insights and conceptual ideas in space weather science. In particular, we study the co-variation and recurrence statistics of two geomagnetic indices, SYM-H and AL, that measure the intensity of the globally symmetric component of the equatorial electrojet and that of the westward auroral electrojet, respectively. We find that the number of active degrees of freedom, required to describe the phase space dynamics of both indices, depends on the geomagnetic activity level. When the magnetospheric substorm activity, as monitored by the AL index, increases, the active number of degrees of freedom increases at high latitudes above the dimension obtained through classical time delay embedding methods. Conversely, a reduced number of degrees of freedom is observed during geomagnetic storms at low latitude by analysing the SYM-H index. By investigating time-dependent relations between both indices we find that a significant amount of information is shared between high and low latitude current systems originating from coupling mechanisms within the magnetosphere–ionosphere system as the result of a complex interplay between processes and phenomena of internal origin activated by the triggering of external source processes. Our observations support the idea that the near-Earth electromagnetic environment is a complex system far from an equilibrium.
Muon to Positron Conversion
Authors: Lee MyeongJae , MacKenzie Michael
Published: April 2022

Lepton-flavor violation (LFV) has been discovered in the neutrino sector by neutrino oscillation experiments. The minimal extension of the Standard Model (SM) to include neutrino masses allows LFV in the charged sector (CLFV) at the loop level, but at rates that are too small to be experimentally observed. Lepton-number violation (LNV) is explicitly forbidden even in the minimally extended SM, so the observation of an LNV process would be unambiguous evidence of physics beyond the SM. The search for the LNV and CLFV process μ−+N(A,Z)→e++N′(A,Z−2) (referred to as μ−→e+) complements 0νββ decay searches, and is sensitive to potential flavor effects in the neutrino mass-generation mechanism. A theoretical motivation for μ−→e+ is presented along with a review of the status of past μ−→e+ experiments and future prospects. Special attention is paid to an uncertain and potentially dominant background for these searches, namely, radiative muon capture (RMC). The RMC high energy photon spectrum is theoretically understudied and existing measurements insufficiently constrain this portion of the spectrum, leading to potentially significant impacts on current and future μ−→e+ work.
On Unintentional Demagnetization Effect of Switched Flux Hybrid Magnet Memory Machine
Authors: Feng Jingjing , Yang Hui , Ge Yongsheng , Zhang Wei
Published: April 2022

This paper investigates the unintentional demagnetization (UD) characteristics of low-coercive-force (LCF) permanent magnets (PMs), in switched flux hybrid magnet memory machines (SF-HMMMs). Although the LCF PM field is magnetically in parallel to the magnetic fields produced by the NdFeB PM, as well as the armature reaction in the investigated machines, the UD phenomenon of LCF PMs still possibly occurs, particularly, under on-load operation due to the magnetic saturation effect. First, the UD effect is revealed by the frozen permeability method (FPM), and analytically explained via a magnetic circuit model. Various UD types are then identified with the finite-element (FE) method, coupled with a virtual linear hysteresis curve (VLHC) of LCF PM and FPM. In addition, the dimension and grade of the LCF PM are designed with the aid of VLHC, in order to prevent the UD effect. Finally, a fabricated SF-HMMM prototype is tested to verify the theoretical analyses.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI CONTINUANCE INTENTION
Authors: Banjarnahor Yolanda May Emmanuella , Setyorini Retno
Published: April 2022

Penelitian ini dilakukan untuk mengetahui dan menganalisis faktor-faktor yang mempengaruhi Continuance Intention pada pengguna Go-Food di Kota Bandung. Tujuan dilakukannya penelitian ini adalah untuk mengetahui seberapa besar pengaruh Habit  terhadap Continuance Intention pengguna Go-Food di Kota Bandung, mengetahui seberapa besar pengaruh Perceived Usefulness terhadap Continuance Intention pengguna Go-Food di Kota Bandung, mengetahui seberapa besar pengaruh Perceived Enjoyment terhadap Continuance Intention pengguna Go-Food di Kota Bandung, mengetahui seberapa besar pengaruh Perceived Ease of Use terhadap Continuance Intention pengguna Go-Food di Kota Bandung. Variabel independen yaitu Habit, Perceived Usefulness, Perceived Enjoyment dan Perceived Ease of Use. Sedangkan variabel dependen yaitu Continuance Intention. Penelitian ini menggunakan metode kuantitatif dengan jenis penelitian deskriptif.  Populasi dalam penelitian ini adalah pengguna Go-Food di Kota Bandung. Teknik sampel dengan metode Nonprobability sampling dengan Purposive sampling yakni sebanyak 100 responden. Teknik analisis data menggunakan analisis regresi linier berganda. Kesimpulan dari penelitian ini yaitu bahwa Habit, Perceived Usefulness, Perceived Enjoyment  berpengaruh positif dan signifikan terhadap Continuance Intention. Sedangkan Perceived Ease of Use tidak berpengaruh positif dan signifikan terhadap Continuance Intention.
Reflective Structured Dialogue: Faculty in a Christian University Discuss LGBTQ+ Inclusion
Authors: Harris Helen , Counseller Jeremy
Published: April 2022

The question of LGBTQ+ inclusion is a challenging one in a number of Christian denominations and extends beyond congregations to religiously affiliated higher education. Are LGBTQ+ students free to be open and “out” in their colleges and universities that are affiliated with religious groups, particularly those whose beliefs may include that sexual orientation and gender identity are spiritual matters of sin, repentance, and change? This is a particular challenge to social work faculty in accredited programs whose commitment to social justice and diversity is central to their mission. In one university affiliated with traditionalist, conservative denominational groups, the administration reached out to social work and law faculty to facilitate university faculty discussions about inclusion. Faculty met using Reflective Structured Dialog (RSD) in focus groups to examine faculty views about how best to provide both a loving and supportive educational environment to LGBTQ+ students and honor the university’s mission and affiliations. The process was essential to gather and value very divergent points of view without fracturing the faculty. The authors provide context and process as a model for other universities exploring difficult value laden conversations in Christian contexts.
Analgesia epidural torácica: para el manejo de pancreatitis aguda.
Authors: Quiros Portuguez Pedro Ignacio , Calderón Vega Irina
Published: April 2022

La pancreatitis aguda es una de las enfermedades gastrointestinales más frecuente que causan hospitalización, este ligado a diversas causas donde la más común esta representada por los cálculos biliares y el consumo excesivo de alcohol. Clínicamente se manifiesta con un dolor a nivel del epigástrico que suele ser constante e irradiado a espalda, su diagnóstico suele ser con dos o más criterios los cuales hacen referencia a la clínica típica, niveles elevados de amilasa y lipasa, y un estudio de imagen. El tratamiento actual de la pancreatitis aguda es sintomático aparte de la eliminación de los cálculos biliares si se amerita. Las medidas sintomáticas se basan en rehidratación agresiva, nutrición temprana, analgesia, oxigenación y restringir el uso de antibióticos, ellos solo deben utilizarse cuando se confirma infección. 

Estas medidas no influyen directamente en el páncreas, sino se basa en disminuir el proceso del síndrome de respuesta inflamatoria multiorgánica, que es la que suele desarrollarse en la pancreatitis grave. Se ha descrito el uso de analgesia epidural torácica durante el desarrollo de esta enfermedad, sobre todo en estudios en animales y humanos.  La hipótesis se basa en que la simpatectomía segmentaria selectiva que se logra con analgesia epidural torácica mejora la perfusión esplácnica generando cambios en la microcirculación, mejorando el flujo sanguíneo al páncreas. En la actualidad se debe investigar más sobre los beneficios más allá de la analgesia en la pancreatitis aguda con un análisis sobre sus riesgos, los diversos estudios hasta el momento indican la seguridad de aplicación de esta técnica.
Artritis septica.
Authors: Leiva Rojas Daniel , Zuñiga Aleman Braulio , Suarez Gordillo Jorge , Rojas Jara Jose Andres , Aguilar Palacios Graciela
Published: April 2022

La artritis séptica se define como una infección que se da dentro del espacio articular. Está a pesar de ser una enfermedad poco frecuente toma vital importancia debido a la severidad de sus secuelas. Es por esta severidad la importancia de la revisión de este tema en este artículo. El objetivo principal es valorar todas las posibles causas, clínica característica, los métodos diagnósticos, estudios complementarios y los diferentes abordajes terapéuticos de esta patología. Este tema de revisión es de vital importancia debido a que las secuelas de esta patología pueden ser devastadoras para la articulación y el paciente sino se trata oportuna y adecuadamente. La artritis séptica se considera una emergencia quirúrgica, ya que el retraso en su diagnóstico y tratamiento pueden llevar a daño irreversible de la articulación.