bluuebunny/crossref_metadata_2025 huggingface dataset:
ICON: An Ontology for Comprehensive Artistic Interpretations
Authors: Sartini Bruno , Baroncini Sofia , van Erp Marieke , Tomasi Francesca , Gangemi Aldo
Published: April 2023

In this work, we introduce ICON, an ontology that models artistic interpretations of artworks’ subject matter (i.e., iconographies) and meanings (i.e., symbols, iconological aspects). Developed by conceptualizing authoritative knowledge and notions taken from Panofsky’s levels of interpretation theory, ICON ontology focuses on the granularity of interpretations. It can be used to describe an interpretation of an artwork from the pre-iconographical, icongraphical, and iconological levels. Its main classes have been aligned to ontologies that come from the domains of cultural descriptions (ArCo, CIDOC-CRM, VIR), semiotics (DOLCE), bibliometrics (CITO), and symbolism (Simulation Ontology), to grant a robust schema that can be extendable using additional classes and properties coming from these ontologies. The ontology was evaluated through competency questions that range from simple recognition on a specific level of interpretation to complex scenarios. Data written using this model was compared to state-of-the-art ontologies and schemas to both highlight the current lack of a domain-specific ontology on art interpretation and show how our work fills some of the current gaps. The ontology is openly available and compliant with FAIR principles. With our ontology, we hope to encourage digital art historians working for cultural institutions in making more detailed linked open data about the content of their artifacts, to exploit the full potential of Semantic Web in linking artworks through not only subjects and common metadata but also specific symbolic interpretations, intrinsic meanings, and the motifs through which their subjects are represented. Additionally, by basing our work on theories made by different art history scholars in the last century, we make sure that their knowledge and studies will not be lost in the transition to the digital, linked open data era.
WIB
: Real-time, Non-intrusive Blood Pressure Detection Using Smartphones
Authors: Zhang Jian , Yuan Wu , Chen Yanjiao , Li Mingxi , Wang Junkongshuai , Zhang Qian
Published: April 2023

Blood pressure (BP) is an essential vital sign related to many severe diseases, such as heart failure, kidney failure. Frequent BP detection can provide doctors more information to treat the disease. However, conventional at-home BP detection devices require completely blocking blood flow, which can lead to discomfort and disruption of normal activity when users want to perform frequent assessments. So a convenient solution should reduce the trouble of detecting BP in the daily life. In this work, we have designed and evaluated a smartphone-based BP detection application named
WIB
.
WIB
utilizes the smartphone’s acoustic sensors to obtain the chest motion caused by the heart beating and the smartphone’s camera to capture the pulse at the fingertip. We have recruited 30 volunteers who come from the author’s institution, to carry out comprehensive evaluations of
WIB
. We perform BP perturbation experiments to obtain different blood pressure data from these volunteers. The experiment results show that the average of Pearson correlation coefficient across all volunteers of the blood pressure estimation is 0.42–0.74 (α =0.6, σ =0.12), the average of RMSE across all volunteers is 4.2–8.8 mmHg (α =5.8, σ =1.8).
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders
Authors: Yuan Junkun , Ma Xu , Xiong Ruoxuan , Gong Mingming , Liu Xiangyu , Wu Fei , Lin Lanfen , Kuang Kun
Published: April 2023

Domain generalization (DG) aims to learn from multiple source domains a model that can generalize well on unseen target domains. Existing DG methods mainly learn the representations with invariant marginal distribution of the input features, however, the invariance of the conditional distribution of the labels given the input features is more essential for unknown domain prediction. Meanwhile, the existing of unobserved confounders which affect the input features and labels simultaneously cause spurious correlation and hinder the learning of the invariant relationship contained in the conditional distribution. Interestingly, with a causal view on the data generating process, we find that the input features of one domain are valid instrumental variables for other domains. Inspired by this finding, we propose an instrumental variable-driven DG method (IV-DG) by removing the bias of the unobserved confounders with two-stage learning. In the first stage, it learns the conditional distribution of the input features of one domain given input features of another domain. In the second stage, it estimates the relationship by predicting labels with the learned conditional distribution. Theoretical analyses and simulation experiments show that it accurately captures the invariant relationship. Extensive experiments on real-world datasets demonstrate that IV-DG method yields state-of-the-art results.
Effect of Fiber Treatments on the Mechanical Properties of Sisal Fiber-Reinforced Concrete Composites
Authors: Yimer Tsagazeab , Gebre Abrham
Published: April 2023

The mechanical behavior of fiber-cement composites is significantly influenced by the interfacial bonding between the fiber and the cement matrix. However, natural fibers are less chemically compatible with the cement matrix. As a result, it is essential to modify the surface of natural fibers to achieve good fiber-matrix interfacial bonds. In the current study, sisal fibers intended for use as a reinforcement in concrete matrices were alkali treated with NaOH solutions (2%, 5%, and 10%) for 12 hrs, 24 hrs, and 48 hrs. Water absorption, tensile strength, and surface morphological changes in fibers were studied. The effect of fiber treatment on the concrete was also assessed by measuring its slump, compressive strength, flexural strength, and toughness. Alkali treatment was discovered to reduce the water absorption capacity of sisal fiber. On the contrary, fiber surface morphology and mechanical properties improved up to a point and then gradually declined. The addition of treated sisal fiber considerably increases concrete’s flexural strength and toughness. However, an insignificant change in compressive strength was observed.
In Vitro Comparison of Fracture Resistance of Severely Damaged Primary Anterior Teeth Restored with Different Post and Core Systems
Authors: Alamdari Mahd Mandana , Moeiny Payvand , Heshmat Haleh , Askarizadeh Nahid
Published: April 2023

Objectives. This study aimed to compare the fracture resistance (FR) of severely damaged primary anterior teeth restored with five different post and core systems. Materials and Methods. This in vitro, experimental study evaluated 60 extracted primary maxillary central incisors. The teeth were horizontally sectioned at 1 mm above their cementoenamel junction (CEJ), underwent pulpectomy, and their root canals were filled with Metapex paste. After post space preparation and sealing of root fillings with light-cure glass ionomer (1 mm thickness), the teeth were randomly assigned to five groups (n = 12) of (1) glass fiber post and everX composite (reinforced with short fibers), (2) glass fiber post and bulk-fill composite, (3) everX composite post and core, (4) bulk-fill composite post and core, and (5) Filtek conventional composite post and core. The teeth underwent 5,000 thermal cycles between 5°C and 55°C, and their FR was measured in a universal testing machine (0.5 mm/min, 148°). The mode of failure was also determined. Data were analyzed by ANOVA and Tukey’s test at 0.05 level of significance. Results. The FR was the highest in fiber post and everX composite, and the lowest in Z250 conventional composite post and core group (P<0.001). The FR of fiber post and everX composite group was significantly higher than that of everX composite post and core (P=0.04), bulk-fill composite post and core (P=0.001), and Z250 composite post and core (P<0.001) groups. The frequency of repairable fractures was the highest in glass fiber post plus everX composite (91.66%) and the lowest in Filtek conventional post and core group (66.66%) (P>0.05). Conclusion. Within the limitations of this in vitro study, the results showed that restoration of severely damaged primary maxillary central incisors with glass fiber post and everX composite reinforced with short fibers enhanced their FR, and increased the chance of reparability in case of restoration fracture. This technique may be recommended for the restoration of primary anterior teeth since it is simple and saves time.
The Synergy of Nanosilica and Zinc Diethyl Hypophosphite Influences the Flame Retardancy and Foaming Performance of Poly(Ethylene Terephthalate)
Authors: Zheng Jiaxin , Wang Congxiao , Zhao Yuyin , Guo Menghao , He Yadong , Xin Chunling
Published: April 2023

In order to improve the flame retardancy of poly(ethylene terephthalate) (PET) and maintain its excellent foamability, nanosilica (nano-SiO2), and zinc diethyl hypophosphite (ZDP) were selected as synergistic flame retardants, and pyromellitic dianhydride (PMDA) was used as a chain extender to carry out flame retardant and chain extension modification of PET simultaneously. The flame retardancy and flame-retardant mechanism of modified PET were characterized by limiting oxygen index, vertical combustion test, thermogravimetric analysis, and SEM. Dynamic rheological test and DSC were used to analyze the rheological and thermal properties. The foaming ability was also studied by batch foaming experiments. The test results indicated that nano-SiO2 and ZDP had a synergistic effect, which could significantly improve flame retardancy of PET. The vertical combustible grade of modified PET reached V-0 grade, and the limiting oxygen index increased from 21% to about 30%. The role of nano-SiO2 on the flame retardancy of PET was mainly to increase compactness and strength of the carbon layer, which could block combustible gas produced by the pyrolysis of PET and resist dripping behavior. At the same time, the addition of nano-SiO2 increased the crystallization temperature and crystallinity of PET. Otherwise, nano-SiO2 could act as a bubble-nucleating agent and improve the foaming ability of modified PET. When the addition amount was 1 wt%, not only did the maximum foaming ratio increase but the foaming temperature zone was also widened from 225°C-235°C to 225°C-250°C. Finally, a flame-retardant PET system with good foaming property was proposed.
A Multistep Direct and Indirect Strategy for Predicting Wind Direction Based on the EMD-LSTM Model
Authors: Ding Yang , Ye Xiao-Wei , Guo Yong
Published: April 2023

For the wind speed prediction, many researchers have established prediction models based on machine learning methods, statistical methods, and theoretical methods, that is, direct methods. However, the direct method cannot be widely used in the wind direction prediction because the wind direction has strong randomness and uncertainty. In order to solve this problem, this paper proposed a wind direction prediction method, that is, indirect method. Specifically, the wind speed is decomposed into crosswind speed and alongwind speed considering the correlation between wind speed and wind direction. The crosswind speed and alongwind speed are predicted based on long short-term memory (LSTM) model with empirical mode decomposition (EMD), and then, the wind direction prediction value can be calculated, that is, the wind direction prediction is realized. One-month wind monitoring data collected by the structural health monitoring (SHM) system installed on investigated bridge are employed to demonstrate the effectiveness of direct and indirect prediction for forecasting the wind speed and wind direction.
Liang‐Ge Decoction Ameliorates Coagulation Dysfunction in Cecal Ligation and Puncture‐Induced Sepsis Model Rats through Inhibiting PAD4‐Dependent Neutrophil Extracellular Trap Formation
Authors: He Wenju , Xi Qiang , Cui Huantian , Zhang Pingping , Huang Rui , Wang Taihuan , Wang Dongqiang
Published: April 2023

Liang‐Ge (LG) decoction could ameliorate coagulation dysfunction in septic model rats. However, the mechanism of LG in treating sepsis still needs to be clarified. Our current study established a septic rat model to evaluate the effect of LG on coagulation dysfunction in septic rats first. Second, we investigated the effect of LG on NET formation in septic rats. Finally, NETs and PAD4 inhibitors were further used to clarify if LG could improve the mechanism of sepsis coagulation dysfunction by inhibiting NET formation. Our findings indicated that treatment with LG improved the survival rate, reduced inflammatory factor levels, enhanced hepatic and renal function, and reduced pathological changes in rats with sepsis. LG could also alleviate coagulation dysfunction in septic model rats. Besides, LG treatment reduced NETs formation and decreased PAD4 expression in neutrophiles. In addition, LG treatment showed a similar result in comparison to the treatment with either NET inhibitors or PAD4 inhibitors alone. In conclusion, this study confirmed that LG has therapeutic effects on septic rats. Furthermore, the improvement of coagulation dysfunction in septic rats by LG was achieved through inhibiting PAD4‐mediated NET formation.
Influence of Denture Cleansers on the Retention Loss of Attachment Systems Retained Implant Overdenture
Authors: AlRumaih Hamad S. , Albarrak Alhanouf A. , AlMedaires Muneera , Alsulaiman Ahmed A. , Baba Nadim Z. , Alshahrani Faris A. , Alqarawi Firas K. , Al-Dulaijan Yousif A. , Alzoubi Fawaz , Alhumaidan Abdulkareem A. , Gad Mohammed M.
Published: April 2023

Background. This study aimed to evaluate the effects of different denture cleansing solutions (DCSs) on the retention of Locator and Locator R-Tx attachment systems of implant retained overdentures (IRO). Methods. Two part acrylic resin blocks were fabricated, upper part contained metal housing and plastic inserts and lower part contained implant analogs and abutments. Eighty pink plastic inserts (40/attachment, 10/solution) were immersed in Corega, Fittydent, sodium hypochlorite, and water for a time simulating upto 1-year of clinical usage. Acrylic blocks were held on a universal testing machine for a pull-out test to record the dislodgement force. Measurements were conducted after 6 months (T1) and 12 months (T2). One-way ANOVA followed by Tukey’s HSD test was used to analyze the results (α = 0.05). Results. For both attachments, retention significantly decreased after immersion in different solutions at T2

P
<
0.001

. Locator R-Tx attachment in NaOCl showed a significant decrease in retention compared with other solutions at T1. At T2, there was a significant decrease in retention for all DCS compared with water

P
<
0.001

. Locator R-TX showed higher retention values per solution compared to Locator attachment

P
<
0.001

. In terms of retention loss %, NaOCl recorded the highest (61.87%) loss, followed by Corega (55.54%) and Fittydent (43.13%), whereas water demonstrated the best retention (16.13%) in both groups. Conclusion. Locator R-TX has better retention with different DCS immersion. The loss of retention varied with different types of DCS and NaOCl recorded the highest retention loss. Therefore, denture cleanser selection must be guided by the type of IRO attachment.
The Role of News Post Consumption on Facebook in Shaping Youth Perceptions of Safety and Civil Liberties during COVID-19 in the U.S., Spain, and Egypt
Authors: Omar Reham Gamal , Casero-Ripollés Andreu
Published: April 2023

News media coverage, regardless of the platform being used, can shape people’s opinions, perceptions, behaviors, and preferences about policy, security, and civil liberties in times of crisis. This study examines the possible cultivation impact of news post exposure on Facebook on shaping threat perception. Furthermore, it aims at exploring the correlation between Facebook news exposure, preferring high security levels, and curbing some civil liberties during the COVID-19 pandemic. For this, we used the survey method (

N
=
1309

) with youths aged 18-35 in the U.S., Spain, and Egypt. Our results showed that heavy news exposure on Facebook cultivated fear and terror perceptions during the COVID-19 pandemic. Moreover, it shaped people’s preference for a tightened security environment and willingness to trade off some civil liberties. In other words, despite the different media and political systems, heavy news post consumption on Facebook can increase the tendency to give up civil liberty rights and prefer a more stringent security environment.
Design and Management of Micro-Teaching Mode of Education in Colleges Driven by Big Data
Authors: Guo Yuhua
Published: April 2023

Big data has become a new driving force for national innovation and entrepreneurship. Although colleges and universities, which are responsible for cultivating high-quality entrepreneurship and innovation talents, have achieved certain results, there are still many problems in practice, which need to be driven by big data. Big data and the practice of innovation and entrepreneurship education in colleges and universities have certain inherent commonality. The integration of big data into the practice of innovation and entrepreneurship education in colleges and universities needs to be improved and strengthened in terms of top-level design, data environment, and educational concepts. Educational big data has become a hot topic and trend in educational research. College students’ entrepreneurship is a kind of entrepreneurial process in which special groups of college students and graduate students are the main body of entrepreneurship. With the recent transformation process of our country and the increasing pressure of social employment, entrepreneurship has gradually become a career choice for college students and graduates. Through data mining, statistical analysis, model construction, and comprehensive reasoning of educational big data are realized, and positive suggestions and countermeasures are provided for education and teaching. On the basis of the pattern analysis of educational data mining process, the concrete application of educational data mining is analyzed, and the correlation and rules between educational phenomena are found, so as to provide educational prediction and educational decision support for further optimization of teaching.
The Flavonoid Chrysin Protects against Testicular Apoptosis Induced by Torsion/Detorsion in Adult Rats
Authors: Abadi Ayda Roudi Rasht , Boukani Linda Mohammadzadeh , Shokoohi Majid , Vaezi Nasim , Mahmoodi Monireh , Gharekhani Mehdi , Kouchesfahani Homa Mohseni , Khaki Amir Afshin
Published: April 2023

In the present work, we examined the beneficial efficacy of chrysin as a natural flavonoid on testicular torsion/detorsion damages among adult male rats. Forty-eight male Wistar rats were randomly allocated into six groups: sham, torsion/detorsion (TD) group, TDC30 group in which TD process was applied and treated with chrysin (30 mg/kg), TDC50 group in which TD process was applied and treated with chrysin (50 mg/kg), HC30 group in which animals were treated with chrysin (30 mg/kg), and HC50 group in which rats were treated with chrysin (50 mg/kg). Serum samples were tested for testosterone, luteinizing hormone (LH), and follicle-stimulating hormone (FSH) levels. The sperm parameters, histopathological analysis, and expressions of apoptosis-related genes were examined among different groups. Superoxide dismutase (SOD), glutathione peroxidase (GPx), and malondialdehyde (MDA) levels in the testicles and serum were measured. Serum levels of SOD, GPx, FSH, LH, and “Bax” expression significantly increased in the TD group compared to the sham group (

P
<
0.05

). Sperm parameters, serum testosterone level, Johnson’s scores, seminiferous tubule diameter, the height of the germinal epithelium (HE) measurements, and expression of “Bcl2” meaningfully decreased (

P
<
0.05

). Administration of chrysin impeded ischemia/reperfusion damages in testis tissue and improved sperm quality. The result of our study indicates that treatment with chrysin can protect testis tissue from ischemia/reperfusion damages induced by TD procedure.
Isolation, Identification, Sequence Analysis, and Pathogenicity of a CIAV Strain from Aegypius monachus
Authors: Yin Mingrong , Tang Zhipeng , Hu Xiaoran , Li Yuyan , Guo Longzong , Sun Xiaolong , Chang Shuang , Zhao Peng , Wang Yixin
Published: April 2023

A cluster of vultures, artificially bred in a zoo in Shandong Province, China, displayed signs of emaciation and some even died, which raised the suspicion of an immunosuppressive pathogen. Upon conducting nucleic acid testing on the clinical samples, it was found that the CIAV was present in the tissue of dead vulture. In this study, samples of dead vulture tissue were used to isolate a chicken infectious anemia virus (CIAV) via the MDCC-MSB1 cell line, which was designated the SDTY2021-TJ strain. The full-length genomic sequence of SDTY2021-TJ was determined and analyzed in detail. The full genomic DNA of SDTY2021-TJ was found to be 2298 bp, with no omissions or additions in the coding region. The homology between the full-length genomic sequence of SDTY2021-TJ and the reference strain ranged from 95.5% (Del-Ros) to 98.7% (YN04). In comparison with the reference strain, the VP1 protein of SDTY2021-TJ contained a number of mutations. To assess the virulence of SDTY2021-TJ, one-day-old SPF chickens were inoculated with both high and low doses of the pathogen. The results demonstrated that SDTY2021-TJ had a considerable pathogenicity to SPF chickens, as the high-dose group caused a 50% mortality rate, and even the low-dose group caused a 30% mortality rate. The chickens infected with the disease exhibited paleness in the cockscomb and stunted growth, as well as a compromised response to NDV and AIV-H9 inactivated vaccine. Furthermore, histological observation revealed an atrophy and degeneration of the thymus. To the best of our knowledge, this is the first instance of CIAV being isolated from artificially bred Aegypius monachus, implying that wild birds may be involved in the transmission and spread of CIAV.
Privacy-Preserving Industrial Control System Anomaly Detection Platform
Authors: Gao Shan , Chen Junjie , Zhang Bingsheng , Ren Kui
Published: April 2023

With the development of IT technologies, an increasing number of industrial control systems (ICSs) can be accessed from the public Internet (with authentication). In such an open environment, cyberattacks become a serious threat to both ICS system integrity and data privacy. As a countermeasure, anomaly detection systems are often deployed to analyze the network traffic. However, due to privacy regulation, the network packages cannot be directly processed in plaintext in many countries. In this work, we present a privacy-preserving anomaly detection platform for ICS. The platform consists of three nodes running low-latency MPC protocols to evaluate the live network packages using decision trees on the fly with privacy assurance. Our benchmark result shows that the platform can process thousands of packages every ten seconds.
BIBF1120 Protects against Diabetic Retinopathy through Neovascularization‐Related Molecules and the MAPK Signaling Pathway
Authors: Cao Xin , Li Tao , Tian Yongshen , Tian Yajing , Gao Chuang , Zhang Dongmei , Song Yu
Published: April 2023

Diabetic retinopathy (DR) is one of the microvascular complications of diabetes mellitus and a major pathological feature of neovascular DR. These patients potentially experience vision impairment and blindness. Platelet‐derived growth factor receptor β (PDGFRβ), fibroblast growth factor receptor 1 (FGFR1), and vascular endothelial growth factor receptor 2 (VEGFR2) are implicated in the DR pathogenesis. Nintedanib (BIBF1120) is an oral selective dual receptor tyrosine kinase (RTK) inhibitor of VEGFR2, FGFR1, and PDGFRβ. In this study, intravitreal injection of BIBF1120 blocked the phosphorylation of VEGFR2, FGFR1, PDGFRβ, and MAPK signaling pathway proteins in a streptozotocin (STZ)‐induced diabetic retinopathy mouse model. In in vitro cell experiments, BIBF1120 did not change cellular activity under normal conditions, while it further suppressed the tube formation, migration, and proliferation of high glucose‐induced human retinal microvascular endothelial cells (HRMECs). Additionally, BIBF1120 blocked the phosphorylation of p38, JNK, and ERK1/2 in high glucose‐treating HRMECs. Our results indicate that the BIBF1120 treatment can be a novel potential drug to protect against DR.
A Feasibility Study on Monitoring Shelf Life of Bottled Natural Fruit Juice Using Laser-Induced Autofluorescence
Authors: Osei-Wusu Adueming Peter , Opoku-Ansah Jerry , Atiogbe Huzortey Andrew , Lloyd Yeboah Amuah Charles , Nyandey Kwasi , Jojo Eghan Moses , Anderson Benjamin , Sonko Sackey Samuel
Published: April 2023

Shelf life of bottled natural fruit juice (BNFJ) provides relevant information on quality and authenticity for consumer protection. However, existing techniques for monitoring the shelf life of BNFJ are destructive and time-consuming. We report on using laser-induced autofluorescence (LIAF) spectroscopic technique in combination with multivariate analysis for shelf life monitoring of BNFJ. The LIAF spectra data were acquired for nine (9) continuous days on three batches of BNFJ samples purchased from a certified retailer. Deconvolution of the LIAF spectra revealed underlying peaks representing constituents of the BNFJ. Principal component analysis (PCA) was able to monitor the trend in the changes of the BNFJ as it aged. Partial least square regression (PLSR) predicted the exact day from the production of the BNFJ accurately at 96.6% and 98.8% in the training and testing sets, respectively. We, therefore, propose the LIAF combined with multivariate analysis as a potential tool for nondestructive, rapid, and relatively inexpensive monitoring of the shelf life of BNFJ.
Projective Synchronization Analysis of Master-Slave Complex Networks with Multiple Time-Varying Delays via Impulsive Control
Authors: Gong Siyi , Shi Lin
Published: April 2023

This article investigates the projective synchronization problem for a class of master-slave complex dynamical networks with multiple time-varying delays. A class of the delayed impulsive controller is designed; sufficient criterions for the projective synchronization of complex dynamical networks are derived. The nonlinear term and the coupled term have

n
+
1

nonidentical time-varying delays, which increases our research difficulties. Two numerical simulations are presented to verify the effectiveness of our result.
Optimization of Physical Education Course Resource Allocation Model Based on Deep Belief Network
Authors: Sun Lili
Published: April 2023

In order to meet the optimization needs of physical education curriculum resource allocation, the author proposes a deep belief‐based physical education curriculum resource allocation technology. The efficient feature abstraction and feature extraction capabilities of deep belief technology fully explore the interests and preferences of learners on course resources. Because deep belief has strong capabilities in feature detection and feature extraction, it has unique and efficient feature abstraction capabilities for different dimensional attributes of input data; the author proposes a DBN‐MCPR model optimization method based on deep belief classification in the MOOC environment. Experimental results show that when the number of iterations reaches about 80, the RMSE of DBN‐MCPR trained with the training dataset without learner feature vector is 77.94%, while the RMSE of DBN‐MCPR trained with the dataset with learner feature vector is 77.01; DBN‐MCPR with full eigenvectors tends to converge after about 40 iterations, while DBN‐MCPR without learner eigenvectors starts to converge after about 15 iterations; this result is in line with the characteristics of the internal network structure of DBN. Conclusion. This application proves that the technical research based on deep belief can effectively meet the needs of the optimization of physical education curriculum resource allocation.
Progressive Evolution Model of Fault Water Inrush Caused by Underground Excavation Based on Multiphysical Fields
Authors: Li Xue , Xue Yi , Zhang Zhihao
Published: April 2023

Underground fault water inrushes are frequent hydrogeological disasters associated with underground mining and tunnel construction projects. In this study, we analyze the water inrush mechanism of underground engineering by building a numerical simulation model to evaluate the process of water inrush, analyze water inrush changes under various working conditions, and consider the fluid-solid coupling effect of rock mass and water. These analyses provide effective suggestions for preventing water inrush from faults. The study establishes a two-dimensional numerical model based on Darcy’s law and plane strain field to analyze water inrush from faults in underground engineering. The analysis shows that factors such as aquifer pressure, permeability between the aquifer and fault zone, and permeability sensitivity coefficient are important considerations that affect the occurrence of water-inrush disasters. The study also identifies the sudden change in water inrush speed at the fault zone and the roadway when the working condition is changed as an indication of the nature of water inrush at the fault. Additionally, the study presents preventive measures such as drainage grouting to ensure the safety of underground engineering constructions. Overall, this research provides important insights into the causes and effects of water inrush from faults and can inform practical measures to mitigate the risks associated with underground engineering.
A Finite Difference Method for Solving Unsteady Fractional Oldroyd-B Viscoelastic Flow Based on Caputo Derivative
Authors: Wang Fang , Wang Yu
Published: April 2023

In this paper, the effect of a fractional constitutive model on the rheological properties of fluids and its application in numerical simulation are investigated, which is important to characterize the rheological properties of fluids and physical characteristics of materials more accurately. Based on this consideration, numerical simulation and analytical study of unsteady fractional Oldroyd-B viscoelastic flow are carried out. In order to improve the degree of accuracy, the mixed partial derivative including the fractional derivative in the differential equation is converted effectively by integrating by parts instead of by direct discretization. Then, the stability, convergence, and unique solvability of the difference scheme are verified. The validity of the finite difference method is tested by making comparisons with analytical solutions for two kinds of fractional Oldroyd-B viscoelastic flow. Numerical results obtained using the finite difference method are in good agreement with analytical solutions obtained via the variable separation method. Viscoelastic characteristics of the unsteady Poiseuille flow are similar to the second-order fluid or integer-order Oldroyd-B fluid when the parameter is close to 0 or to 1. Oscillation characteristics of fractional viscoelastic oscillatory flow are similar to those of the classical viscoelastic fluid under the same condition. Compared with the previous research, the present work studies the rheological properties of fluids with the finite difference method, and the application of fractional constitutive models in describing the rheological properties of fluids is developed. Meanwhile, more cases reflecting the fractional-order characteristics are given. The present method can accurately capture the flow characteristics of unsteady fractional Oldroyd-B viscoelastic fluid and is applicable for the generalized fractional fluid.
A Mixed Equilibrium Model and Optimal Path Platooning Method for CAV Platoons in Heterogeneous Traffic Flow
Authors: Yi Kefu , Tang Lixia , Hao Wei , Zhang Zhaolei , Hu Rongdong , Luo Kai
Published: April 2023

As the emergence of the connected and autonomous vehicles (CAVs), the platooning technology is believed to play a key role in the future intelligent transportation system. However, current studies mainly focus on the beneficial sides of CAV platoons, and less attention is given to their negative effects. This study develops a mixed equilibrium model for CAV platoons and human-driven vehicles (HDVs), which consider both the positive and negative sides of CAV platooning. On the positive side, CAV platoons are assumed to follow user equilibrium (UE) route choice for their information advantages, while HDVs to follow stochastic user equilibrium (SUE). CAV platoons are also presumed to improve the road capacity. On the negative side, the speed of CAV platoons is slower than that of HDVs for safety stakes, which will impede the latter to overtake. The HDVs is split up into overtaking and nonovertaking flows with different speeds. Furthermore, the model is built up as a mixed UE-SUE equilibrium problem and reformulated as a nonlinear complementarity problem. In addition, an optimal path platooning method is proposed to reduce the negative effects, by integrating travel costs of both CAV platoons and HDVs into its objective function. Numerical results show that the introduction of CAV platoons may increase the travel cost at the initial stage, and the proposed method can effectively reduce the platooning disturbance, thus helps promoting the wider applications of CAV platoons.
Mechanical Properties of Deep Variable Dip Joint Rock Mass in Reservoir Area under Wet and Dry Conditions
Authors: Li Fei , Deng Huafeng , Liu Wenwen , Duan Guoyong
Published: April 2023

The mechanical property of deep complex jointed rock mass is a hot topic in rock mechanics. In order to grasp the deformation and damage rules of through-going variable dip joint rock masses, the triaxial compression test and joint surface morphology scan test were conducted on cylindrical specimens in dry and wet conditions under 0, 5, 10, and 20 MPa water pressure. Through these tests, the deterioration law of rock samples under different pore water pressure in dry and wet conditions was studied. The effect of pore water pressure on the strength of saturated jointed rock sample is nonlinear. The imposed pore water pressure can significantly increase the axial deformation of rock samples, and higher pore water pressure can facilitate the deformation deterioration of samples. When the pore pressure is high, the rock samples show the characteristics of sliding shear failure. Under different pore pressure, the compressive strength of dry jointed rock is significantly higher than that of saturated jointed rock, and the saturated rock is more susceptible to sliding in the joint plane than dry rock. Dry jointed rock samples have stronger deformation ability than saturated jointed rock samples. The change rate of the morphologic parameters and the distribution of the failure cracks indicate that the stress concentration is evident in the middle of the joint plane.
Quantitative Evaluation of the Transmission and Removal of Harmful Smoke Particles in the Operating Room: Full-Scale Experimental and Numerical Study
Authors: Liu Zhijian , Zhang Zheng , Lv Jiabin , Ma Juntao , Yao Guangpeng , He Junzhou , Cao Guoqing
Published: April 2023

A large amount of surgical smoke in electrosurgery seriously deteriorates the clean environment of the operating room and can potentially harm medical staff and patients. Exploring the distribution and removal of indoor particulate matter and selecting efficient ventilation patterns are effective ways to control harmful smoke. Therefore, in this study, we combined simulations and full-scale experiments to quantitatively explore the high-concentration spatial regions of particles and compared three ventilation patterns: vertical laminar airflow (VLAF), horizontal laminar airflow (HLAF), and hybrid ventilation, wherein unidirectional airflow (UDAF) was applied to the operating table along with peripheral mixing (UDAF + mixing). We found that simple laminar flow ventilation was significantly affected by the equipment layout and air change rate (air changes per hour; ACH), and the smoke particles were distributed in large amounts in the operating area and could not be removed completely. Conversely, hybrid ventilation can work effectively, and the optimal ACH is approximately 60, which can remove nearly 72% of smoke particles. The airflow distribution in the operating room is also an important factor affecting the distribution and removal of smoke particles. Therefore, medical staff should avoid prolonged exposure to areas with high particle concentrations and particle removal paths.
University Financial Early Warning Model Based on Fuzzy Comprehensive Evaluation
Authors: Tsao Shuhua , Wen Haiqin
Published: April 2023

With the reform of the higher education system, schools and universities have transitioned from risk‐free management to current risk management, and financial risk has become a concern that every college and university must address. In recent years, how to effectively forewarn colleges and universities for financial risk, as well as how to prevent and control financial risk at colleges and universities, has been a hot topic. Firstly, this study analyzes the process of model construction, including introducing the basic information of the model, determining the factor level, establishing the weight set and the alternative set, the first‐grade fuzzy comprehensive evaluation, and the second‐grade fuzzy comprehensive evaluation. Secondly, with the financial data of our school in 2020 and 2021 as samples, the fuzzy comprehensive evaluation and early warning model of university financial risk is used to comprehensively evaluate its financial status. Finally, according to the causes and types of financial risks in universities and combined with the analysis results of the fuzzy comprehensive evaluation model of our school’s financial situation, the study gives the relevant measures to prevent and control the financial risks in universities and carries on a detailed analysis and explanation of each measure. The construction and implementation of a financial early warning model in colleges and universities can effectively avoid and reduce the financial risk of colleges and universities, which has certain research value.
Reduced Space Optimization‐Based Evidence Theory Method for Response Analysis of Space‐Coiled Acoustic Metamaterials with Epistemic Uncertainty
Authors: Yin Shengwen , Chen Linfang , Qin Haogang
Published: April 2023

Acoustic metamaterials have been widely concerned by researchers because of their excellent sound absorption properties. Traditional uncertainty analysis methods for response analysis of acoustic metamaterials with evidence variables have limitations. The excessive time spent on repetitive extreme analysis of focal elements severely impedes the practical application of evidence theory. To reduce the computational costs of uncertainty quantification for acoustic metamaterials under the evidence theory, a reduced space optimization‐based evidence theory method (RSO‐ETM) is proposed. In RSO‐ETM, a simplified surrogate model is first constructed by a modified adaptive arbitrary orthogonal polynomial (MAAOP) expansion method, and then, the monotonicity of the response surface is examined to reduce the space. Subsequently, the Newton iteration technique and a transformation boundary method are used to obtain the extreme points in the reduced space, through which the boundary of the response over each focal element can be readily obtained. By using RSO‐ETM, the optimization for each focal element can be avoided, and correspondingly the computational costs are reduced. Two mathematical examples and acoustic problems are employed to demonstrate the practicality of the methods.
The importance of career in human resource development
Authors: Chagelishvili Ana , Surmanidze Natia , Patsatsia Konstantine
Published: April 2023

Human resource development and career development are essential issues for a person's self-realization and effective functioning of the organization. Human resource development is often perceived as a necessary condition for career success; however, less attention is paid to the importance and the role of a career in human resource development. The study aims to highlight the importance of career in human resource development. To achieve this goal, the documentary analysis method was used, during which the above hypothesis was tested on the basis of analysis and synthesis techniques. The study revealed the key role of career development in human resource development and identified their interrelated issues. This paper, which forms the theoretical basis for future research, will be useful to all interested parties in the given issues.
Measuring the Person-Job Fit on Perceived Productivity: A Case of Indone-sian Legislators
Authors: Kurniawan Buyung , Marnis  , Samsir  , Jahrizal
Published: April 2023

Person-job fit and its relationship with technical training (Bimtek) and productivity or work performance have been widely discussed in private and public organizations but scarcely in the legislative organization. Compared to what companies have generally practiced, the mismatch between jobs and legislators' educational backgrounds and experiences is quite common. In addition, the nature of the job is often temporary and prone to rotation between commissions within legislative bodies. This study aimed to examine the impact of Bimtek on the person-job fit and productivity of legislators in Indonesia and how the experience could moderate the relationship. The research design used a quantitative method by employing a correlational approach. Of the 110 population, eighty-one Indonesian legislators were valid to be used as the respondent. Bimtek was used as the independent, person-job fit as the mediator, perceived legislation productivity was employed as the dependent, and the moderator was the experience. All hypotheses were tested using independent t-test, mediation, and moderation techniques employing Hayes PROCESS models 1, 4, and 8. The major findings showed that repeated Bimtek improved person-job fit and productivity. Legislators' experience moderated the effect of person-job fit on perceived legislation productivity. This study concludes that attempting an appropriate person-job fit and optimal legislative productivity requires sufficient technical training for legislators to perform their legislative functions. In this case, when the person-job fit increases, the new legislators have higher perceived productivity than their seniors.
Learning Motivation During COVID-19 Pandemic and the Academic Performance Among Agriculture Students of a State College
Authors: Morados Alexander N.
Published: April 2023

Learning motivation has been known to be a basic determinant of academic achievement, and this can be negatively affected by a disease outbreak and a shift in teaching approach. This study aimed to determine the significant relationships among perception of learning motivation during the COVID-19 pandemic, learning motivation level, and academic performance of Bachelor of Science in Agriculture students of Camiguin Polytechnic State College. It used the explanatory-correlational design with a modified adapted questionnaire as the main data gathering instrument. The data were analyzed using descriptive statistics and Pearson correlation tool in the context of the theories of social learning, protection motivation, operant conditioning, goal-setting, and achievement motivation. Results revealed that respondents perceived their learning motivation during the COVID-19 pandemic as highly enhanced, just as they assessed their learning motivation level as high, although their intrinsic motivation was slightly higher than their extrinsic motivation. The correlation test yielded a significant positive relationship between the respondents' perception of their learning motivation during the pandemic and their intrinsic motivation. However, their learning motivation level had not proven significantly related to their academic performance, and neither had their learning motivation during the pandemic.
Capacitating Teachers’ Research Skills Through Collaborative Action Research Buddies
Authors: Bongcayao Anafe A.
Published: April 2023

Action research is a valuable tool for personal and professional development. It allows teachers to assess their teaching practices, reflect on learning outcomes, and generate practical ways of improving their pedagogical competence. Consequently, it results in positive educational impact, such as increased academic performance and school effectiveness. Hence, this action research study aimed to capacitate the teachers of Kinan-oan Elementary School, Trinidad II District, Trinidad, Bohol S.Y. 2021-2022 through Collaborative Action Research Buddies – an approach that aimed to empower, retool, train, and foster action research skills. As an intervention to the difficulties encountered by teachers in conducting research, the researchers conducted a Capacity Building on Enhancing Teachers’ Action Research Skills through Collaborative Action Research Buddies among the thirteen (13) teachers of the said school. This study employed descriptive statistics and individual interview to track the improvement of the teachers before and after undergoing the said intervention. The results showed an improvement in their capacity to undertake a research project, as shown by the increased number of teachers who could craft an action research proposal based on required standards. Interestingly, all participants were able to carry out their action research proposals and had produced completed action research manuscripts. Based on the participants’ narratives, they attributed this success to the intensive training they underwent that targeted their weaknesses and deficiencies in research writing. This result implies that Collaborative Action Research Buddies, as a strategy, could enhance teachers’ action research skills through its facilitative effect on their cognitive and affective domains. Hence, it is recommended that Collaborative Action Research Buddies be implemented in Trinidad II District to help the teachers from other schools improve their competence in crafting a research proposal and conducting it based on a specified timeline. However, further research is needed to identify other factors that could motivate and help teachers improve their competence in undertaking classroom-based action research.
Evaluating the Effectiveness of Professional Development Programs for Junior High School Mathematics Teachers in Improving Mathematics Instruction in the K to 12 Curriculum in the Philippines
Authors: Dicdiquin Juana B. , Mobo Froilan D. , Cutillas Anesito L.
Published: April 2023

This study assessed the effectiveness of a professional development program for junior high school mathematics teachers in the Philippines and analyzed their achievement test results in Mathematics. The study aimed to identify the factors affecting the quality of mathematics instruction and propose solutions to these challenges. The study found that while most teachers were consistent in their lesson planning and content delivery, they need to improve their questioning techniques, differentiated techniques, and strategies to develop higher-order thinking skills. The study suggests that teachers need to enhance their teaching practices to achieve the K to 12 Curriculum goals, prepare students for better work opportunities, and contribute to the nation's economy. Professional development programs can provide opportunities for mathematics teachers to increase their knowledge and confidence in the subject. By improving their teaching practices, teachers can help enhance the quality of mathematics education in the Philippines. This study highlights the challenges mathematics teachers face in the country and the need for professional development programs to help them improve their teaching practices. The findings have important implications for mathematics education in the country, which can help raise the quality of education and the nation's economy.