bluuebunny/crossref_metadata_2025 huggingface dataset:
The E3 Ubiquitin Ligase SYVN1 Plays an Antiapoptotic Role in Polycystic Ovary Syndrome by Regulating Mitochondrial Fission
Authors: Sun Lihua , Ye Hongjuan , Tian Hui , Xu Lirong , Cai Junjie , Zhang Caixia , Wang Rongxiang , Yang Hui , Zhao Shuang , Zhang Jiaozhi , Gao Shaorong
Published: September 2022

Polycystic ovary syndrome (PCOS) is one of the most common hormonal disorders among premenopausal women. PCOS is accompanied by many other reproductive, endocrinal, and metabolic disorders thus amassing the difficulties encountered by the women affected. However, there is limited information on its molecular etiology. Synoviolin (SYVN1) is an E3 ubiquitin ligase that is thought to participate in the pathology of PCOS. However, the expression and function of SYVN1 in PCOS are unknown. In this study, we found that downregulation of SYVN1 expression was followed by increased apoptosis in the granulosa cells (GCs) of patients with PCOS. Subsequent in vitro experiments indicated that the overexpression of SYVN1 inhibited apoptosis and mitochondrial fission. Furthermore, using immunoprecipitation and western blotting, we identified that SYVN1 promoted the degradation of Drp1 via the proteasome-dependent pathway. Additionally, we generated a PCOS model in female Sprague Dawley rats and treated them with an SYVN1 inhibitor, LS-102. We observed that the inhibition of SYVN1 increased Drp1 levels and exacerbated the degeneration of GCs in the PCOS rat model. Finally, in vitro and in vivo experiments showed that SYVN1 inhibits apoptosis and mitochondrial fission by promoting Drp1 degradation in GCs. These results highlight the function of SYVN1 in PCOS and provide a potential target for the clinical treatment of PCOS.
Mobile Geographic Information Service for 4G Terminal
Authors: Wei Guiyu
Published: September 2022

The mobile geographic information service (GIS) is the key technology to realize mobile navigation. In this study, a transmission method of mobile geographic information services under the 4G terminal grounded on the channel Porter interval equalization algorithm is proposed. The multisensor information collection method of vehicle networking is adopted to realize data collection and data structure characteristics analysis of mobile GIS under the 4G terminal. Subsequently, the transmission channel model of mobile GIS under the 4G terminal is constructed. Furthermore, the interference suppression in the transmission process of mobile GIS under 4G terminals is realized by using an autocorrelation matching filter and an adaptive association rule mining algorithm. According to the symbol feature distribution of the mobile GIS channel under the 4G terminal, the Porter interval equalization approach is implemented to realize the segmented equalization adjustment of mobile GIS. The K-means clustering procedure is also implemented to coordinate the data packet adjustment in the process of mobile geographic information service transmission within the background of a 4G terminal. According to the dynamic distribution characteristics of the clustering center, the mobile geographic information service transmission under the 4G terminal is adaptively controlled to reduce the influence of channel fading and intersymbol interference caused by channel spreading. The simulation outcomes express that the suggested technique has strong anti-jamming ability, reduces the communication error rate, significantly diminishes the end-to-end delay performance, and improves the stability and accuracy of the mobile geographic information service transmission under the 4G terminal.
Relationships between Efflux Pumps and Emergence of Heteroresistance: A Comprehensive Study on the Current Findings
Authors: Abavisani Mohammad , Kodori Mansoor , Akrami Fariba , Radfar Ali , Hashemi Ali
Published: September 2022

Heteroresiatnce (HR) is the type of resistance toward one or more antibiotics appearing as a population of the bacterial load consisting of one or more subpopulations with lower antibiotic susceptibility levels than others. Due to the lack of appropriate diagnosis of HR isolates and their importance in resistance emergence to antibiotics, investigating the origins, emergence factors, and HR inhibitors is critical in combating antibiotic resistance. Efflux pumps (EPs) are bacterial systems that own an influential role in acquiring resistance toward anti-bacterial compounds. Studies on EPs revealed that they can affect HR emergence mechanisms and are competent to be introduced as a suitable bacterial target for diagnostic and therapeutic development in combating HR isolates. This review will consider the relations between EPs and the emergence of HR isolates and discuss their importance in confronting this type of antibiotic resistance.
Experimental Investigation of AA6063 Welded Joints Using FSW
Authors: Rajkumar T. , Radhakrishnan K. , Rajaganapathy C. , Jani S. P. , Ummal Salmaan Nowshadth
Published: September 2022

The AA6063 aluminium alloy has gained widespread use in manufacturing the light-weighted structures which requires a high strength to weight ratio, and it possesses an excellent corrosive resistance in T6 heat-treated (solution heat treated and artificially aged) condition. The process of friction stir welding (FSW) is an emerging joining process of solid state that does not melt and recast the material being welded, as opposed in various other fusion welding processes, which are extensively utilized for combining the structural alloys of aluminium. The process of connecting separate components with external heat has resulted in induced stress on metals. The stir welding using friction was introduced in order to reduce the formation in residual stress during the joining process. The aluminium alloy AA6063 plates were fused utilising the friction stir welding procedure in this study. The studies were carried out using various combinations of speed in rotary condition, speed in transverse condition, and stress in axial condition. The generated joints that are welded was analysed mechanically and microstructurally. The maximum hardness of the mechanical joints produced is 93.25 HV, and the maximum tensile strength is 286.15 N/mm2. According to the results of the response surface analysis, transverse and rotary velocities possess a notable impact in hardness and durability, respectively.
Determination of Width of Sectional Coal Pillars in the Working Face of Burst-prone Inclined Thick Coal Seams
Authors: Zhu Sitao , Wang Gaoang , Liu Kuiming , Liu Jinhai , Jiang Fuxing , Zhu Chun , Wang Xiao , Zhou Yu
Published: September 2022

In coal mines, a reasonable design of the widths of coal pillars is critically important, particularly for rockburst mines. This is because the frequent occurrence of rock burst in coal mines often arises from the inappropriate widths of the coal pillars. To address this problem, we first review two recent incidents of rockburst occurring and thus present a theoretical calculation of lateral bearing pressure distribution in goaf of inclined thick coal seam to illuminate the occurrence mechanism of rockburst induced by inappropriate width of sectional coal pillars. Based on the mechanism model, we then propose a design criterion for sectional coal pillar widths in inclined thick coal seams that can effectively reduce the risk of the induced rock burst. Our theoretical calculations, field stress monitoring, numerical simulation and field investigation all demonstrate the validity of the proposed design criterion in preventing the induced rock burst and large deformation of surrounding rock. The results from this paper may be used as a theoretical guidance of sectional coal pillar designs in inclined thick coal seams.
5G Smart Sensor Network-Based e-Commerce Investment Risk Management System for SMEs
Authors: Tang Lei , Zhang Yongqing
Published: September 2022

The rapid development of Internet technology in the new era has led to the prosperous development of the e-commerce industry, and more and more traditional retail enterprises are transforming into e-commerce enterprises in line with the development of the times to survive. Based on the relevant financial risk management theories, this paper designs an e-commerce investment risk management system for small and medium-sized enterprises based on the 5G intelligent sensor network, identify the financial risks arising from the e-commerce model, and takes appropriate countermeasures to manage the identified risks. For the optimal coverage problem of homogeneous terminals in the subnetwork of a smart sensing network, this paper introduces the concept of area coverage contribution, transforms the problem of selecting the optimal coverage subset in a large area into the problem of selecting the substrate particles, and organically combines the particle swarm algorithm in the bionic algorithm to consider the network survival period, area sensing coverage, and iteration cost for the hierarchical distributed large-scale IoT architecture. A minimum coverage subset dormancy scheduling algorithm based on homogeneous terminals is proposed. The simulation results are compared with the greedy algorithm and the multioptimized target task assignment algorithm, and it is demonstrated that this algorithm can consider multiple optimization objectives such as energy balance, scheduling cycle, timeout rate, network survival cycle, and system reliability and perform well in the case of large-scale deployment. Finally, an appropriate financial risk evaluation model is constructed to objectively evaluate the identified financial risks, and targeted financial risk control measures and suggestions are proposed based on four aspects: financing, investment, operation, and others.
E-Commerce Data Access Control and Encrypted Storage Based on Internet of Things
Authors: He Yue , Hu Wanda
Published: September 2022

In order to discuss the access control and encrypted storage of Internet of Things data for e-commerce data, a method of Internet of Things data access control and encrypted storage based on optical fiber network communication is proposed. Build an IoT application model based on optical fiber network communication, which consists of a perception layer, a network layer, and an application layer. The network layer is through the optical fiber communication network. The information collected by the optical fiber sensor in the perception layer is transmitted to the application layer for processing. And the model-aware layer adopts the dynamic transformation encryption method for attribute decomposition, and the Internet of Things data access control strategy based on key management and implement IoT data access control and encrypted storage based on the IoT application model of optical fiber network communication. The experimental results show that when this method implements access control and encrypted storage of IoT data, it has the advantages of high efficiency, low storage space overhead, and low computational cost of fiber network nodes, and the security of the processed IoT data is as high as 97.77%. Conclusion. This method can effectively deal with the limited computing performance and storage performance of the perception layer nodes of the application model; larger and larger application requirements with a large number of nodes.
Bipartite Containment Control for Multiagent Systems with Adaptive Quantization Information
Authors: Wu Jie , Lei Heng , Zhan Xisheng
Published: September 2022

In this study, bipartite containment control for multiagent systems (MASs) with quantitative information is investigated. Communication topology is structurally balanced, and the follower’s trajectory is within the area surrounded by the leader by designing distributed error terms. The leader is an external system, and the matrix information of the leader cannot be accessed by followers. Based on an adaptive quantization information distributed observer, the authors introduce an output feedback protocol to study bipartite containment control. Finally, simulations demonstrate the effectiveness of proposed control algorithms.
Efficacy of Bracket Adhesive Remnant Removal by a Fluorescence-Aided Identification Technique with a UV Light Handpiece: In Vitro Study
Authors: Moecke Sabrina Elise , Barros Pedro Caio Alves , Andrade Adrielle Caroline Moreira , Borges Alessandra Bühler , Pucci César Rogério , Torres Carlos Rocha Gomes
Published: September 2022

Objective. This study aims to analyze the fluorescence-aided identification technique efficacy on adhesive remnant removal from the enamel surface after orthodontic bracket debonding. Materials and Methods. Forty-five extracted human upper central incisors were divided into 3 groups (n = 15) according to the kind of adhesive for bracket bonding and the use or absence of near UV light for remnant removal: BF/UV- fluorescent adhesive/UV light, BF/0-fluorescent adhesive/no UV light, and TB/0-nonfluorescent adhesive/no UV light. For all teeth, 100% of the adhesive used remained on the enamel surface after debonding. Fifteen dentists performed adhesive removal on the enamel surface using a carbide bur. The specimens were analyzed by a stereomicroscope, and the adhesive remnant percentage from each specimen was calculated. The time used by each dentist to perform the removal was recorded. The data were analyzed by one-way ANOVA and Tukey’s test. Results. Significant differences were observed among groups for adhesive remnant (

p
=
0.0008

) and for time (

p
=
0.0001

). The means of adhesive remnant were BF/UV (5.84), BF/0 (34.37), and TB/0 (37.02). The mean times necessary to remove adhesive were BF/UV (1 min 40 s), BF/0 (3 min 03 s), and TB/0 (2 min 46 s). For the BF/UV group, significantly lower values of adhesive remnants and time for debonding were found (

p
<
0.05

). Conclusion. The fluorescence-aided identification technique significantly reduced the amount of adhesive remnant, and the time necessary to perform this clinical procedure.
Comprehensive In Silico Analysis of RNA Silencing‐Related Genes and Their Regulatory Elements in Wheat (Triticum aestivum L.)
Authors: Akond Zobaer , Rahman Hafizur , Ahsan Md. Asif , Mosharaf Md. Parvez , Alam Munirul , Mollah Md. Nurul Haque
Published: September 2022

Dicer‐like (DCL), Argonaute (AGO), and RNA‐dependent RNA polymerase (RDR) are known as the three major gene families that act as the critical components of RNA interference or silencing mechanisms through the noncoding small RNA molecules (miRNA and siRNA) to regulate the expressions of protein‐coding genes in eukaryotic organisms. However, most of their characteristics including structures, chromosomal location, subcellular locations, regulatory elements, and gene networking were not rigorously studied. Our analysis identified 7 TaDCL, 39 TaAGO, and 16 TaRDR genes as RNA interference (RNAi) genes from the wheat genome. Phylogenetic analysis of predicted RNAi proteins with the RNAi proteins of Arabidopsis and rice showed that the predicted proteins of TaDCL, TaAGO, and TaRDR groups are clustered into four, eight, and four subgroups, respectively. Domain, 3D protein structure, motif, and exon‐intron structure analyses showed that these proteins conserve identical characteristics within groups and maintain differences between groups. The nonsynonymous/synonymous mutation ratio (Ka/Ks) < 1 suggested that these protein sequences conserve some purifying functions. RNAi genes networking with TFs revealed that ERF, MIKC‐MADS, C2H2, BBR‐BPC, MYB, and Dof are the key transcriptional regulators of the predicted RNAi‐related genes. The cis‐regulatory element (CREs) analysis detected some important CREs of RNAi genes that are significantly associated with light, stress, and hormone responses. Expression analysis based on an online database exhibited that almost all of the predicted RNAi genes are expressed in different tissues and organs. A case‐control study from the gene expression level showed that some RNAi genes significantly responded to the drought and heat stresses. Overall results would therefore provide an excellent basis for in‐depth molecular investigation of these genes and their regulatory elements for wheat crop improvement against different stressors.
Intelligent Animation Creation Method Based on Spatial Separation Perception Algorithm
Authors: Meng Qingbo
Published: September 2022

In the computer group animation creation technology, the artificial life method of computer animation overcomes the defects of traditional animation creation technology and greatly improves the animation creation efficiency. However, due to the increasing complexity of the animation character modeling technology used in this method, the coupling degree between the models of the animation system is also increasing, which makes the animation creation increasingly difficult. Especially, when the number of characters’ increases, the computation will increase rapidly in a nonlinear way, which greatly affects the real-time animation creation and limits the wide application of this method. In this paper, we have conducted an in-depth study and implementation of the design of the animation character model and its implementation technology, analyzed and designed the group animation character model, and designed the space separation perception algorithm to effectively reduce the design difficulty of the character biomechanical model, reduce the amount of computation, and further ensure the real time of large-scale group animation creation. Therefore, the research reduces the coupling between animation system models without reducing the animation effect and real-time performance. It reduces the amount of computer operation, meets the real-time requirements of large-scale group animation creation, and has important significance and value.
Training Method of Flute Breath Based on Big Data of Internet of Things
Authors: Sun Yizhen
Published: September 2022

As a traditional musical instrument, the flute has a long history and is loved by people. The flute has a wider range, and its timbre has strong penetrating and expressive power. This is not only a unique solo instrument but also occupies an important position in the symphony orchestra. Breath training on the flute is an essential step in flute learning. However, in the traditional flute breath training process, teachers cannot observe the students’ practice in real time, and the training process is relatively simple, resulting in the final training effect not being obvious and the students’ breath stability not being significantly improved. In order to solve this problem, this paper applied the Internet of Things (IoT) big data technology to the flute breath training process. The flute breath training system based on big data of Internet of Things was used to conduct professional breath training for students. Through the tests of the trained students, it was found that the training method of flute breath using the big data of the Internet of Things improved the students’ leg strength and chest, abdomen, and back strength. In the long-tone practice, the students’ exhalation time increased by 1.472 seconds, and the students’ breath stability increased by 7.1%, which laid a good foundation for the students to learn the flute in the future.
Diverse Precise Traveling Wave Solutions Possessing Beta Derivative of the Fractional Differential Equations Arising in Mathematical Physics
Authors: Siddique Imran , Mirza Arshad M. , Shahzadi Kausar , Akbar M. Ali , Jarad Fahd
Published: September 2022

In this paper, we obtain the novel exact traveling wave solutions in the form of trigonometric, hyperbolic and exponential functions for the nonlinear time fractional generalized reaction Duffing model and density dependent fractional diffusion-reaction equation in the sense of beta-derivative by using three fertile methods, namely, Generalized tanh (GT) method, Generalized Bernoulli (GB) sub-ODE method, and Riccati-Bernoulli (RB) sub-ODE method. The derived solutions to the aforementioned equations are validated through symbolic soft computations. To promote the vital propagated features; some investigated solutions are exhibited in the form of 2D and 3D graphics by passing on the specific values to the parameters under the confine conditions. The accomplished solutions show that the presented methods are not only powerful mathematical tools for generating more solutions of nonlinear time fractional partial differential equations but also can be applied to nonlinear space-time fractional partial differential equations.
Multivariate Analysis for Overcoming Complexities of Corporate Governance and Managerial Dilemma Using Data Mining Techniques
Authors: Bijalwan Jyotsna Ghildiyal , Bijalwan Anchit
Published: September 2022

The increased number of corporate dirty pools raised serious concerns about the interest of the shareholders. The board room politics, conflict of interest, and bully pulpit proclivity gave birth to the “agency complexities.” The complexities of the corporate world made a buzz for the serious thoughts on corporate governance. This analysis aims at an objective and scientific inquiry about the relationship between corporate governance complexities and firm performance by utilizing data mining tools. It aims at overcoming the corporate dilemma over profitability vs. good governance and presenting a scientific model to eradicate the complexities in the corporate governance system and aims at providing a scientific basis to overcome the complex issues of governance faced by the corporate. The multivariate analysis in this paper utilizes a data mining tool for regression analysis and ANOVA. This paper also proposes a mathematical model that supports the study outcomes. The investigation outcomes are not only backed by the mathematical model and scientific tools but also by a comprehensive comparative analysis. The outcome of the investigation clearly mentions the significance and the primacy of each variable in the corporate decisions making process, which will facilitate the organizations in framing their corporate governance policies and will also be helpful to the managers in overcoming the corporate dilemma faced by them.
Declining Trend of Transapical Access for Transcatheter Aortic Valve Replacement in Patients with Aortic Stenosis
Authors: Sohal Sumit , Mehta Harsh , Kurpad Krishna , Mathai Sheetal Vasundara , Tayal Rajiv , Visveswaran Gautam K. , Wasty Najam , Waxman Sergio , Cohen Marc
Published: September 2022

Introduction. The last decade has witnessed major evolution and shifts in the use of transcatheter aortic valve replacement (TAVR) for severe aortic stenosis (AS). Included among the shifts has been the advent of alternative access sites for TAVR. Consequently, transapical access (TA) has become significantly less common. This study analyzes in detail the trend of TA access for TAVR over the course of 7 years. Methods. The national inpatient sample database was reviewed from 2011–2017 and patients with AS were identified by using validated ICD 9-CM and ICD 10-CM codes. Patients who underwent TAVR through TA access were classified as TA-TAVR, and any procedure other than TA access was classified as non-TA-TAVR. We compared the yearly trends of TA-TAVR to those of non-TA-TAVR as the primary outcome. Results. A total of 3,693,231 patients were identified with a diagnosis of AS. 129,821 patients underwent TAVR, of which 10,158 (7.8%) underwent TA-TAVR and 119,663 (92.2%) underwent non-TA-TAVR. After peaking in 2013 at 27.7%, the volume of TA-TAVR declined to 1.92% in 2017 (

p
<
0.0001

). Non-TA-TAVR started in 2013 at 72.2% and consistently increased to 98.1% in 2017. In-patient mortality decreased from a peak of 5.53% in 2014 to 3.18 in 2017 (

p
=
0.6

) in the TA-TAVR group and from a peak of 4.51% in 2013 to 1.24% in 2017 (

p
=
0.0001

) in the non-TA-TAVR group. Conclusion. This study highlights a steady decline in TA access for TAVR, higher inpatient mortality, increased length of stay, and higher costs compared to non-TA-TAVR.
Water Inrush Mechanism of Roof Induced by the Fault Weakening Effect in the Coal Mining
Authors: Qiu Qing , Zheng Lulin , Lan Hong , Zhang Wen , He Hengyi , Zhao Chun , Tian Youwen , Liu Hao , Li Ruipeng
Published: September 2022

The northern Guizhou coalfield exhibits complex geological conditions and well-developed structures. Hard rock formations are damaged by faults, causing frequent water inrush accidents. To study the damaging effect of faults on roof key strata and the mechanism of water inrush accidents, this paper chose the 5914 coal mining faces of the Longfeng coal mine as the engineering background, determined the water inrush source and key strata through field investigation, hydrochemical analysis, and theoretical calculation, and used RFPA-flow numerical simulation software to simulate the hydraulic coupling effect. The characteristics of the shear stress, damage degree, and hydraulic gradient were analyzed, and finally, the high-density electrical method was employed for simulation verification. The results indicated that the key stratum can control water inrush, but under the influence of faults, the roof forms multiple separation layers, and several sudden increases in displacement occur (the sudden jump phenomenon). A stress concentration area is formed in the head-end tunnel through the fault, and the number of AE events increased to 1150. The water-force gradient exhibits a uniform local large-scale evolution process, and finally, the height of the water-conducting fracture reaches 60 m through the aquifer. This height is 3 times that without fault influence. The numerical simulation results are consistent with the theoretical calculation and field analysis results, which verifies that the fault imposes a highly significant weakening effect on the key stratum, providing data support for later engineering.
Mortality and Its Predictors among Adult Human Immune-Deficiency Virus-Infected Patients Attending Their Antiretroviral Treatment at Health Centers, Addis Ababa, Ethiopia: Multicenter Retrospective Cohort Study
Authors: Tesfayohannes Selam , Shine Sisay , Mekuria Abinet , Moges Sisay
Published: September 2022

Introduction. In resource-limited settings such as Ethiopia, where the prevalence of HIV/AIDS is high, a number of factors, including economic, demographic, behavioral risk, and health factors, affect how long people with AIDS are treated with antiretroviral therapy. Since several aspects of the clinical setup may have an impact on ART patients’ survival, this study was conducted in health centers. Determining the mortality rate and survival factors among adult HIV-infected patients receiving ART at health centers in Addis Abeba’s Kirkos subcity is the primary goal of this study. Methods. A retrospective cohort study was carried out at the health center in Addis Abeba’s Kirkos subcity. The source population consisted of all adult HIV-positive patients who were being followed up between December 1, 2014, and October 30, 2019. A total of 665 samples were collected using a computer-generated simple random sampling method in each of the three health centers that were chosen by a lottery system depending on the number of patients in the follow-up. Trained data collectors took the information out of the patient card and the electronic database. Regressions using the Kaplan‐Meier and Cox proportional hazards were employed. Results. The incidence of death rate in adult HIV-positive patients was 55 (8.5%) fatalities, translating to a death rate of 3.25 per 100 person-years. The majority of deaths occurred within 6 months of ART initiation. Predictors of mortality were: age above 50 years (AHR = 4.90, 95% CI: 2.00, 11.98), tuberculosis comorbidity (AHR = 3.46, 95% CI: 1.23, 3.33), lack of drug adherence (AHR = 1.76, 95% CI: 1.23, 3.33), co-trimoxazole therapy (AHR = 2.59, 95% CI: 1.37, 4.90), and CD4 cell count less than 200/dl (AHR = 2.77, 95% CI: 1.30, 5.92). Conclusion and Recommendation. Adult HIV-positive individuals had an incidence of the death rate of 55 (8.5%), which equates to 3.25 deaths per 100 person-years. Age category over 50, TB comorbidity, WHO stage IV, lack of medication adherence, co-trimoxazole therapy, body mass index under 18.5 kg/m2, and CD4 cell count under 200/dl were predictors of mortality. Therefore, it is important to focus on prevention, early identification, and treatment of HIV/AIDS for these predictors at all levels of the HIV/AIDS chronic care package in order to increase survival.
Solid Waste Management Practice and Its Associated Factors among Households in Gessa Town, Dawuro Zone, Southwest Ethiopia
Authors: Maldaye Matiwos , Haftu Desta , Sako Sewunet , Jebero Zenebe , Moga Fikre , Alemu Ayichew
Published: September 2022

Introduction. Human activities create waste, and the improper ways that waste is handled, stored, collected, and disposed of can pose risks to public health. The highest proportion of households practice their solid waste improperly in many developing countries, and the household’s status of solid waste management practices and its association with sociodemographic, knowledge, and institutional-related factors have never been clearly understood in Ethiopia, particularly in the study area. Therefore, this study aimed to assess the status of solid waste management practice and its associated factors among households in Gessa town, Dawro Zone, Southwest Ethiopia. Methods. A community-based cross-sectional study was conducted among 686 study participants from April 30 to June 15, 2021. Study participants were selected by using a computer-generated simple random sampling technique. The interviewer administered a semistructured questionnaire that comprised sociodemographic, household-related, and institutional-related factors were used for data collection. All collected data were entered into epi data version 4.6 and then exported to STATA version 14.0 for further analysis. Each independent variable with a

p

value <0.25 in the bivariable logistic regression was included in the multivariable logistic regression model. In multivariable logistic regression, variables having a

p

value <0.05 were considered statistically significant. Result. In this study, improper solid waste management practice was 86.2%. Unpracticed solid waste reduction at source (AOR = 5, 95% CI 2.9–8.9), householders’ poor knowledge about solid waste management (AOR = 5.2, 95% CI 2.6–10.3), and distance to the municipality disposal site greater than 30 minutes to one hour from householders' (AOR = 2.6, 95% CI 1.3–5.0) were found to be statistically significant associated factors for improper solid waste management practices of the households. Conclusions and Recommendations. The magnitude of improper solid waste management practices was high. Unpracticed solid waste reduction at source, householders’ poor knowledge about solid waste management, and distance from home to the waste disposal site were significantly associated factors. Therefore, policymakers, local government, and Gessa town health work units have to teach the community about solid waste management and solid waste generation minimization at the source and prepare standardized near-distance waste disposal sites to tackle contributing factors of improper solid waste management practice.
Ischemic Stroke and Ruptured Mycotic Aneurysm, Two Complications of Infective Endocarditis in One Patient
Authors: Diop Alassane Mamadou , Mbodj Ahmadou Bamba , Fall Serigne Abdou Aziz , Niang Ibrahima
Published: September 2022

The incidence of infective endocarditis is estimated to be around 30 cases per million inhabitants/year. It can be responsible for various neurological complications such as cerebral infarction, meningitis, cerebral abscesses, and cerebral hemorrhage due to ruptured mycotic aneurysms. Several germs have been incriminated in this condition including Staphylococcus, Streptococcus, and Enterococcus. We report the case of a 64-year-old patient who presented with an acute motor deficit of the left upper limb associated with dysarthria. MRI showed infarcts in both cerebral hemispheres, and the TOF sequence showed an amputation of M2. On transesophageal ultrasound, there was evidence of vegetations at the mitral valve. Blood culture isolated Streptococcus oralis. With antibiotic treatment, the evolution was marked by a stable apyrexia with regression of the dysarthria. Before her surgery, she suddenly developed aphasia with worsening of the motor deficit. CT scan showed a right fronto-parietal hematoma which was related to a ruptured cerebral aneurysm. She underwent endovascular embolisation and subsequent cardiac surgery.
Monadic Effect Algebras
Authors: Zou Yuxi , Xin Xiaolong
Published: September 2022

The main goal of this paper is to introduce and investigate the related theory on monadic effect algebras. First, we design the axiomatic system of existential quantifiers on effect algebras and then use it to give the definition of the universal quantifier and monadic effect algebras. Then, we introduce relatively complete subalgebra and prove that there exists a one‐to‐one correspondence between the set of all the existential quantifiers and the set of all the relatively complete subalgebras. Moreover, we characterize and give the generated formula of monadic ideals and prove that Riesz monadic ideals and Riesz monadic congruences can be mutually induced. Finally, we study the strong existential quantifier and characterize monadic simple and monadic subdirectly irreducible effect algebras.
Implementation of Trusted Traceability Query Using Blockchain and Deep Reinforcement Learning in Resource Management
Authors: Jiang Yunting , Lei Yalin
Published: September 2022

To better track the source of goods and maintain the quality of goods, the present work uses blockchain technology to establish a system for trusted traceability queries and information management. Primarily, the analysis is made on the shortcomings of the traceability system in the field of agricultural products at the present stage; the study is conducted on the application of the traceability system to blockchain technology, and a new model of agricultural product traceability system is established based on the blockchain technology. Then, a study is carried out on the task scheduling problem of resource clusters in cloud computing resource management. The present work expands the task model and uses the deep Q network algorithm in deep reinforcement learning to solve various optimization objectives preset in the task scheduling problem. Next, a resource management algorithm based on a deep Q network is proposed. Finally, the performance of the algorithm is analyzed from the aspects of parameters, structure, and task load. Experiments show that the algorithm is better than Shortest Job First (SJF),

T
e
t
r
i
s

∗

, Packer, and other classic task scheduling algorithms in different optimization objectives. In the traceability system test, the traceability accuracy is 99% for the constructed system in the first group of samples. In the second group, the traceability accuracy reaches 98% for the constructed system. In general, the traceability accuracy of the system proposed here is above 98% in 8 groups of experimental samples, and the traceability accuracy is close for each experimental group. The resource management approach of the traceability system constructed here provides some ideas for the application of reinforcement learning technology in the construction of traceability systems.
On Faithful Matrix Representations of q-Deformed Models in Quantum Optics
Authors: Hanna Latif A -M. , Alazemi Abdullah , Al-Dhafeeri Anwar
Published: September 2022

Consider the

q

-deformed Lie algebra,

t

q

:

K
^

1

,

K
^

2

q

=

1
−
q

K
^

1

K
^

2

,

K
^

3

,

K
^

1

q

=
s

K
^

3

,

K
^

1

,

K
^

4

q

=
s

K
^

4

,

K
^

3

,

K
^

2

q

=
t

K
^

3

,

K
^

2

,

K
^

4

q

=
t

K
^

4

, and

K
^

4

,

K
^

3

q

=
r

K
^

1

, where

r
,
s
,
t
∈
ℝ
−

0

, subject to the physical properties:

K
^

1

and

K
^

2

are real diagonal operators, and

K
^

3

=

K
^

4
†

, (

†

is for Hermitian conjugation). The

q

-deformed Lie algebra,

t

q

is introduced as a generalized model of the Tavis–Cummings model (Tavis and Cummings 1968, Bashir and Sebawe Abdalla 1995), namely,

K
^

1

,

K
^

2

=
0
,

K
^

1

,

K
^

3

=
−
2

K
^

3

,

K
^

1

,

K
^

4

=
2

K
^

4

,

K
^

2

,

K
^

3

=

K
^

3

,

K
^

2

,

K
^

4

=

K
^

4

, and

K
^

4

,

K
^

3

=

K
^

1

, which is subject to the physical properties

K
^

1

and

K
^

2

are real diagonal operators, and

K
^

3

=

K
^

4
†

. Faithful matrix representations of the least degree of

t

q

are discussed, and conditions are given to guarantee the existence of the faithful representations.
Use Brain-Like Audio Features to Improve Speech Recognition Performance
Authors: Wang Junyi , Li Bingyao , Zhang Jiahong
Published: September 2022

Speech recognition plays an important role in the field of human-computer interaction through the use of acoustic sensors, but speech recognition is technically difficult, has complex overall logic, relies heavily on neural network algorithms, and has extremely high technical requirements. In speech recognition, feature extraction is the first step in speech recognition for recovering and extracting speech features. Existing methods, such as Meier spectral coefficients (MFCC) and spectrograms, lose a large amount of acoustic information and lack biological interpretability. Then, for example, existing speech self-supervised representation learning methods based on contrast prediction need to construct a large number of negative samples during training, and their learning effects depend on large batches of training, which requires a large amount of computational resources for the problem. Therefore, in this paper, we propose a new feature extraction method, called SHH (spike-H), that resembles the human brain and achieves higher speech recognition rates than previous methods. The features extracted using the proposed model are subsequently fed into the classification model. We propose a novel parallel CRNN model with an attention mechanism that considers both temporal and spatial features. Experimental results show that the proposed CRNN achieves an accuracy of 94.8% on the Aurora dataset. In addition, audio similarity experiments show that SHH can better distinguish audio features. In addition, the ablation experiments show that SHH is applicable to digital speech recognition.
The Mechanism of Unsafe Behavior of Employees in High-Risk Positions under the Adjustment Effect of Hardy Personality
Authors: Li Yan , Zhang Yi , Wang Jingfeng , Liu Zhen
Published: September 2022

In order to study the impact of human and environmental matching on the unsafe behavior of employees in high-risk positions, explore the intermediary role of work satisfaction and the adjustment role of hardy personality, and improve the safety management level of employees in high-risk positions. The data collected from 501 employees in high-risk positions were empirically analyzed from an individual personality perspective with the help of AMOS 26.0 and SPSS 25.0. The research results showed that staff matching and human-organization matching have significant negative effects on unsafe behavior; job satisfaction plays a complete intermediary role in the negative relationship between human-organization matching and unsafe behavior; hardy personality can adjust the relationship between job satisfaction and unsafe behavior.
Rod-Type Ce/Cr/Nd : YAG Ceramic Lasers with White-Light Pump Source
Authors: Saiki T. , Iwashita T. , Sakamoto J. , Hayashi T. , Nakamachi T. , Fujimoto Y. , Iida Y. , Nakatsuka M.
Published: September 2022

Ceramic is promising for use as a solid-laser material pumped with solar or lamp light. We developed a Cr3+ ion doped Nd : YAG ceramic laser that converts white light into near-infrared laser light more efficiently. Investigation of its optical properties has revealed that large gain can be realized with excitation power that is one order of magnitude less than that in the case of Nd : YAG. Ce3+ ion doping also makes it possible to utilize the excitation light components with wavelengths of 350 nm or less, preventing generation of color centers. A rod-type Ce3+/Cr3+/Nd : YAG ceramic pumped by white light such as solar light or flash lamp light was developed. Fluorescence lifetime of ceramic was measured. Laser oscillations at free running mode were observed. Also, numerical calculation for output laser power and gain at lasing threshold was performed. Fluorescence lifetime increased as temperature rose, which was observed in Cr/Nd : YAG ceramic. This increase suggests the existence of a cross-relaxation effect. Maximum output laser energy of 73 mJ with the peak power of 330 W was obtained. Obtained output laser energy was around twice more than that in case of Cr3+/Nd : YAG ceramic with the same Nd and Cr ion concentration.
Parameters Optimization of Multipass Milling Process by an Effective Modified Particle Swarm Optimization Algorithm
Authors: Wang Cuiyu , Wang Wenwen , Gao Yiping , Li Xinyu
Published: September 2022

The selection of the optimal metal milling parameters greatly impacts final product quality and production efficiency in modern manufacturing systems. The profit rate is also sensitive to the selected parameters. This research focuses on determining the optimal parameters of a multipass milling process using an improved particle swarm optimization (PSO) method. The objective is to minimize the production time. The proper number of passes, the optimal cut speed, and feed rate are considered as the parameters (the decision variables in the model) which are needed to be optimized. Furthermore, the permissive arbor strength, arbor deflection, and motor power are the constraints of the model. The penalty function method is used as the constraints handling technique to address the constraints efficiently in the proposed method. A case is adopted and solved to evaluate the performance of the proposed method. The experimental part is analyzed and compared with advanced methods. Experimental results show that the proposed method is very effective for parameters optimization of a multipass milling process and outperforms other methods.
Removal of High-Concentration Sulfate from Seawater by Ettringite Precipitation
Authors: Hou Jian , Alghunaimi Fahd , Han Ming , Aljuryyed Norah
Published: September 2022

Due to the worldwide scarcity of fresh water, seawater becomes an alternative base fluid in hydraulic fracturing for oil and gas production. However, the injection of seawater that contains high concentration of sulfate will induce the scale formation and thus reduce hydrocarbon production. One of the most effective ways to solve this problem is to remove sulfate ions from seawater before fracturing application. The objective of this study is to develop an effective and environment-friendly approach to remove sulfate ions from seawater based on coprecipitation of SO42− with NaAlO2 and CaO as ettringite (Ca6Al2(SO4)3(OH)12·26H2O). Residual sulfate concentration in treated seawater was determined when NaAlO2 and CaO dosed at different molar ratios to sulfate. Results showed the efficiency of sulfate removal was more than 90% (4290 ppm to ∼400 ppm) when Al : Ca : S = 2 : 6 : 1. It was found the sulfate precipitation completed in 15 mins with stirring under an alkaline condition (pH ≈ 12) and was not affected by temperature (15°C to 45°C). Increasing the Na+ concentration from 0 to 25,000 ppm in waters resulted in the increment of residual sulfate concentration from 250 to ∼600 ppm, decreasing the removal efficiency. Besides, the analysis of Ca2+ and Mg2+ in treated seawater showed the Ca2+ concentrations were on the similar level as that before the treatment and Mg2+ was removed in the precipitation process, which is beneficial to the application of the treated seawater. The morphology and element analysis of the collected precipitates showed that the ettringites were in a layered shape with composition between Ca6Al2(SO4)3(OH)12 and Ca4Al2(SO4)(OH)12 at the optimized chemical dosage; therefore, the developed ettringite precipitation method could effectively remove sulfate from seawater without toxic chemicals involved, which benefits seawater hydraulic fracturing in an economic way, and this contributes to water sustainability.
Targeted Anterior Cervical Epidural Blood Patch in a Patient with Spontaneous Intracranial Hypotension
Authors: Shekhawat Ravindra Singh , Yong Ming Hui , Keong Si Ying Julienne , Chen Kunihiko , Too Chow Wei , Hameed Shahul
Published: September 2022

A 45-year-old male was admitted with severe orthostatic headache secondary to spontaneous intracranial hypotension. He had the site of cerebrospinal fluid (CSF) leakage identified at the anterolateral aspect of the C7-T1 spinal level. He first underwent a conventional posterior-approach cervical epidural blood patch (EBP) which provided immediate relief to the patient’s symptoms; however, his symptoms recurred two days later. To better target the anterolateral leakage site, we employed an anterior-approach EBP under computed tomography (CT) guidance. After this attempt, the patient experienced complete relief of his symptoms, and the headache eventually resolved.
Detection of Breast Cancer Lump and BRCA1/2 Genetic Mutation under Deep Learning
Authors: Miao Yue , Tang Siyuan
Published: September 2022

To diagnose and cure breast cancer early, thus reducing the mortality of patients with breast cancer, a method was provided to judge threshold of image segmentation by wavelet transform (WT). It was used to obtain information about the general area of breast lumps by making a rough segmentation of the suspected area of the lump on mammogram. The boundary signal of the lump was obtained by region growth calculation or contour model of local activity. Meanwhile, multiplex polymerase chain reaction (mPCR) and mPCR-next-generation sequencing (mPCR-NGS) were used to detect BRCA1/2 genome. Sanger test was used for newly high virulent mutations to verify the correctness of mutagenic sites. The results were compared with the information marked by experts in the database. According to Daubechies wavelet coefficients, the average measurement accuracy was 92.9% and the average false positive rate of each image was 86%. According to mPCR-NGS, there was no pathogenic mutation in the 7 patients with high-risk BRCA1/2 genetic mutations. Single nucleotide polymorphism (SNP) in nonsynonymous coding region was detected, which was consistent with the Sanger test results. This method effectively isolated the lump area of human mammogram, and mPCR-NGS had high specificity and sensitivity in detecting BRCA1/2 genetic mutation sites. Compared with traditional Sanger test and target sequence capture test, it also had such advantages as easy operation, short duration, and low cost of consumables, which was worthy of further promotion and adoption.
Glucose Determination by a Single 1535 nm Pulsed Photoacoustic Technique: A Multiple Calibration for the External Factors
Authors: Yang Lifeng , Chen Chulin , Zhang Zhaojiang , Wei Xin
Published: September 2022

Photoacoustic spectroscopy has been proved to be a potential method for noninvasive blood glucose detection. We used 1535 nm pulsed laser to excite photoacoustic signal in glucose solution and then explored the influence of different glucose concentration on photoacoustic signal to analyze the sensitivity of photoacoustic signal to glucose at this wavelength. We designed a simple photoacoustic cell structure, which used a focused ultrasonic transducer to receive signals, so as to reduce signal attenuation. In terms of the results, we have found that for high-concentration glucose solutions, the results have strong linearity and discrimination, and when the concentration is close to the human body level, the signal difference is not so obvious. Therefore, we explore the external factors affecting the photoacoustic signal in detail and propose a calibration method. Through calibration, the signal generated by the low-concentration glucose solution also has a good linearity.