bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of Hierarchical Retrieval Model of Digital English Teaching Information Based on Ontology
Authors: Jiang Hua , Sun Li
Published: May 2022

In order to improve the effect of English teaching information retrieval, this paper designs a hierarchical retrieval model of digital English teaching information through ontology and constructs an intelligent system structure that can be used for hierarchical retrieval of digital English teaching information. Moreover, this paper proposes a method for judging the similarity of English teaching information structure based on non-negative matrix factorization and develops a hierarchical retrieval model of digital English teaching information based on ontology according to an improved algorithm. In addition, this paper uses the hierarchical search idea to design the hierarchical structure and study the system framework and hierarchical process. Finally, this paper verifies the performance of the system through simulation experiments. The experiment shows that the hierarchical retrieval model of digital English teaching information based on ontology proposed in this paper meets the basic needs of this paper to build an English teaching information system and can play a certain role in English teaching.
A Scalable Blockchain-Based Integrity Verification Scheme
Authors: Zhou Zequan , Luo Xiling , Bai Yi , Wang Xiaochao , Liu Feng , Liu Gang , Xu Yifu
Published: May 2022

Ensuring the integrity of remote data is the prerequisite for implementing cloud-edge computing. Traditional data integrity verification schemes make users spend a lot of time regularly checking their data, which is not suitable for large-scale IoT (Internet of Things) data. On the other hand, the introduction of a third-party auditor (TPA) may bring about greater privacy and security issues. We use blockchain to address the problem of TPA. However, implementing dynamic integrity verification with blockchain is a bigger challenge due to the low throughput and poor scalability of blockchain. More importantly, whether there is a security problem with blockchain-based integrity verification is not yet known. In this paper, we propose a scalable blockchain-based integrity verification scheme that implements fully dynamic operations and blockless verification. The scheme builds scalable homomorphic verification tags based on ZSS (Zhang-Safavi-Susilo) short signatures. We exploit smart contract technology to replace TPA for integrity verification tasks, which not only eliminates the risk of privacy leakage but also resists collusion attacks. Furthermore, we formally define a blockchain-based security model and prove that our scheme is secure under the security assumption of cryptographic primitives. Finally, the mathematical analysis of our scheme shows that both the communication complexity and the communication complexity of an audit are

O

c

, in which

c

is the number of challenge blocks. We compare our scheme with other schemes, and the results show that our scheme has the lowest time consumption to complete an audit.
Research on Digital Design of Urban Public Landscape Based on Morphogenesis
Authors: Zhang Yamin
Published: May 2022

With the development of digital technology, it is possible to organize the deep relationship of public landscape elements. Design inspiration is no longer static and manual imitation of natural representations but can be dynamically self-organized. The design under the digital design theory shows obvious characteristics: multiparameter action, bottom-up, dynamic iteration, and optimal result orientation. The design chain, or meta-design, has since formed the basic digital design chain. Based on morphogenesis and combined with the existing landscape design creation methods, this study summarizes an operable logic system of digital design based on morphogenesis. It is hoped that through digital technology, it is possible to establish the relationship between various spatial organizations in the public landscape system. It uses the theory of morphogenesis and digital research to expand the cognition of landscape morphology and stimulate the innovation of design methods and build a landscape design logic system based on program algorithms. This study uses the subsystem design and completes the generation process from the design concept to the space formation from the graphic concept, which proves that this design logic system is feasible and has obvious advantages to a certain extent.
A Novel Autoregressive Spectral Estimation-Based Neural Network Crest Factor Reduction Structure in Power Amplifiers of 5G Systems in Sandstorm Environment
Authors: Cao Xin , Wang Chenyi , Cai Qiangming
Published: May 2022

In this paper, an autoregressive spectral estimation using a multilayered neural network is proposed to reduce the nonlinearities of 5G MIMO power amplifiers and increase the signal-transmitting qualities. The proposed method adopts the two-sided doubly exponential lattice algorithm to achieve the most suitable estimation for in-band compensation. Also, based on the iterative learning control method, a novel crest factor reduction digital predistortion is combined with the multilayered neural network. Based on the results, the proposed algorithm has increased the linearity and stability of the PA performance. The proposed method can improve the robustness of 5G MIMO wireless communication systems.
Magneto-Exothermic Catalytic Chemical Reaction along a Curved Surface
Authors: Ashraf Muhammad , Ahmad Uzma , Zia Saqib , Gorla Rama Suba Reddy , Al-Johani Amnah S. , Khan Ilyas , Andualem Mulugeta
Published: May 2022

In the current study, the physical behavior of the boundary layer flows along a curved surface owing exothermic catalytic chemical reaction, and the magnetic field is investigated. The mathematical model comprised of a part of momentum, energy, and mass equations, which are solved using a finite difference method along with primitive variable formulation. Numerical solutions, using the method of quantitative differentiation, are made with the appropriate choice of dimensionless parameters. Analysis of the results obtained shows that the field temperature and flow of fluids are strongly influenced by the combined effects of catalytic chemical reactions and the magnetic field. The effects of skin friction, heat transfer, mass transfer, mass concentration, and temperature distribution along the curved surface are illustrated in the plots and in the form of tables. By setting the controlling parameters at the boundaries, the boundary conditions at the surface and away from the surface are determined in each graph. With a larger range of body shape parameter n, skin friction and heat transfer are improved, but mass transfer is reduced. Due to the increasing values of the exothermic parameter, the fluid velocity and mass concentration are decreased gradually and the temperature distribution is increased dramatically.
Comprehensive Evaluation and Error-Component Analysis of Four Satellite-Based Precipitation Estimates against Gauged Rainfall over Mainland China
Authors: Wei Guanghua , Lü Haishen , Crow Wade T. , Zhu Yonghua , Su Jianbin , Ren Li
Published: May 2022

The Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) V06 product has been widely studied, but the errors and the source of the errors within IMERG over diverse climate regions still need to be quantified. To this end, the final run gauge-calibrated IMERG V06 (V06C) and uncalibrated IMERG V06 (V06UC) products are comprehensively evaluated here against 2088 precipitation gauges acquired between March 2014 and June 2018 over China. Moreover, V06C and V06UC rainfall estimates are compared against the Precipitation Estimation from Remotely Sensed Imagery using Artificial Neural Networks (PERSIANN)-Climate Data Record (CDR) and the Climate Prediction Center morphing technique (CMORPH) gauge-satellite blended (BLD) products. Continuous statistical indices and two error decomposition schemes are used to quantify their performance. Key results are as follows. (1) Except for V06UC’s relatively high underestimation over the Tibetan Plateau (TP) and high overestimation over Xinjiang (XJ), Northeastern China (DB), and Northern China (HB) and CDR’s severe overestimation over TP, all four satellite-based precipitation products can generally capture the spatial pattern of precipitation over China. Moreover, the satellite-based precipitation estimates agree better with gauge observations over humid regions than over semi-humid, semi-arid, and arid regions. (2) All the statistical indicators show that CDR has the worst performance, whereas BLD is the best precipitation product. As for the two IMERG products, V06C has improved V06UC’s precipitation estimate. Results show that the gauge calibration algorithm (GCA) used in IMERG has active effect in terms of r, POD, and CSI. (3) Within all subregions, all four satellite-based precipitation products demonstrate their worst performance over the arid XJ region which exhibits the highest FAR and lowest POD and CSI values among all regions. (4) In terms of intensity distribution, for summer over China, the four satellite-based precipitation products generally overestimate the frequency of moderate precipitation and light precipitation events (<25 mm/day) and underestimate heavy precipitation events (>42 mm/day). (5) The relative bias ratio (RBR) analysis shows that the contribution of missed precipitation tends to be lower over wetter regions. In addition, for the same climate region, the contribution of missed precipitation is clearly lower in summer than in winter. In summer, false precipitation dominates the total error, whereas missed and false precipitation are the two leading error sources in winter. Future algorithm refinement efforts should focus on decreasing FAR in summer and winter and improving missed snow events during the winter.
Research on the Development of Localized Music Curriculum System Based on the Theory of Multiple Intelligences
Authors: Yu Dezhi , Gong Tianzhuo
Published: May 2022

The integration and development of music curriculum signals have attracted the attention of researchers in real teaching scenarios. Based on the theory of multiple intelligences algorithm, this paper constructs a music curriculum integration and development model. This paper establishes a nonnegative matrix decomposition scheme, adds a constraint term that can reflect the smoothness of the time-varying gain matrix to the divergence-based objective function, and iteratively solves the problem of curriculum integration and development through the minimum optimization algorithm obtained by constructing the auxiliary function. In the process of simulation experiment, the optimal solution of each factor matrix was designed, the source music signal was reconstructed, and the sufficiently sparse source music signal was separated. The experimental results show that, compared with the parameter estimation without preprocessing, the parameter estimation with preprocessing is more accurate, the accuracy of the improved algorithm reaches 97.1%, the signal compression ratio reaches 0.656, and the enhanced signal can obtain at most 6 dB. The signal-to-noise ratio is improved, and the convergence speed is fast and asymptotically reaches the lower bound. It is suitable for parameter estimation of low-order and high-order autoregressive processes and effectively promotes the smooth development of music course signals.
On the Internet of Things, Blockchain Technology for Supply Chain Management (IoT)
Authors: Sharma Viresh , Ramirez-Asis Edwin , Ahmad Aamir Junaid , Silva-Zapata Miguel , Alvarado-Tolentino Joseph , Kumar Harish , Krah Daniel
Published: May 2022

Patient’s medical records are now accessible from anywhere and at any time, thanks to the Internet and the changes it has wrought in the healthcare industry. Electronic health records were dogged by a lack of standards, but that was not the only issue. Decentralized online ledgers were already being proposed and used to solve interoperability and privacy issues when blockchain-based systems were first built. As far as technical issues go, scaling, usability, and accessibility stand out. On the one hand, it is difficult to keep secure access control measures on-chain while simultaneously keeping a wide range of medical data off-chain. Finding out who owns what and spreading access control of data is the second challenge in medical settings. Using temporal blockchain, the Secured Healthcare System (SHS) aims to address these problems (TB). As an SHS fundamental building piece, the context-based Merkle tree emphasizes privacy, enhanced integrity management, and access control methods (CBMT). For interoperability and scale control, the framework uses temporal features, HL7 criteria, and IPFS data management (IPFS). Personalized micro booklet (PML) security was found to be affected by the SHS framework, namely, on the time-based shadow notions and the contextual components of the PML (PML). Taking advantage of the architecture’s enormous potential to solve the challenges of siloed data and enabling tamper-proof, secure healthcare transaction has been sought.
Transcriptional Patterns of Lower-Grade Glioma Patients with Distinct Ferroptosis Levels, Immunotherapy Response, and Temozolomide Sensitivity
Authors: Tu Zewei , Li Jingying , Long Xiaoyan , Wu Lei , Zhu Xingen , Huang Kai
Published: May 2022

Background. Many studies have defined a critical role for ferroptosis in cancer progression and therapy, but it is unclear how ferroptosis regulates tumor immunity or tumor microenvironment (TME). Methods. In this study, 24 ferroptosis-regulators were assessed by nonnegative matrix factorization (NMF) consensus clustering to identify ferroptosis patterns in lower-grade gliomas (LGGs). Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) method and single sample gene set enrichment analysis (ssGSEA) were used to quantify immune cell infiltrations. The PCA algorithm was used to develop the ferroptosis-related score (FRscore) to measure ferroptosis levels. Results. Two LGG subgroups named ferroptosis-related clusters 1 (FRC1) and 2 (FRC2), with distinct ferroptosis levels, immune infiltrations, and clinical outcomes were determined in 1,407 LGG samples. A well-designed scoring system was developed to evaluate the ferroptosis levels in LGG patients based on the FRSig gene profile and divided patients into low- and high-FRscore subgroups. Patients with low FRscores had lower ferroptosis levels and prolonged survival time and were expected to benefit from immune checkpoint blockade (ICB) therapy and showed higher sensitivity to TMZ chemotherapy. Findings also showed that the PI3K-AKT-mTOR pathway is activated by ferroptosis induction in SW1088 cells. Conclusions. This study highlights the critical role of ferroptosis in TME formation and shaping, and quantitatively assessing ferroptosis levels in individual tumors can help to define the intratumor microenvironment and formulate precise treatment strategies for LGG patients.
The Model Framework of College Students’ Entrepreneurial Team Formation Based on Relevance Algorithm
Authors: Hu Guisheng , Li Xiuqing
Published: May 2022

Reasonable realization of the task relevance of the entrepreneurial team formation model is a research hotspot in the field of cluster computing. Based on the theoretical basis of the correlation algorithm, this article constructs a parallel computing framework for college students’ entrepreneurial formation model and realizes the application of the team formation model in the entrepreneurial model. This article replaces the traditional structure with the multi-entrepreneurial formation mode structure to avoid premature convergence and initializes the entrepreneurial formation mode with an algorithm, which solves the problem of the first-come, first-served entrepreneurial association degree algorithm of the entrepreneurial formation mode. During the simulation process, the multilevel entrepreneurial relevance algorithm based on the relevance algorithm was experimentally verified and performance tested. In the performance comparison test, the optimal solution search efficiency increased to 89.7%, the heterogeneous fault tolerance rate of resources reached 0.713, and the task set scheduling time was reduced to 0.221s. The experimental results show that the multilevel entrepreneurial relevance model based on the relevance algorithm can effectively reduce the task set scheduling time and relevance cost, and can take into account the load balance of the system, effectively promoting the diversity and dynamics of resource requirements.
Image Reconstruction Based on Progressive Multistage Distillation Convolution Neural Network
Authors: Cai Yuxi , Gao Guxue , Jia Zhenhong , Wang Liejun , Lai Huicheng
Published: May 2022

To address the problem that some current algorithms suffer from the loss of some important features due to rough feature distillation and the loss of key information in some channels due to compressed channel attention in the network, we propose a progressive multistage distillation network that gradually refines the features in stages to obtain the maximum amount of key feature information in them. In addition, to maximize the network performance, we propose a weight-sharing information lossless attention block to enhance the channel characteristics through a weight-sharing auxiliary path and, at the same time, use convolution layers to model the interchannel dependencies without compression, effectively avoiding the previous problem of information loss in channel attention. Extensive experiments on several benchmark data sets show that the algorithm in this paper achieves a good balance between network performance, the number of parameters, and computational complexity and achieves highly competitive performance in both objective metrics and subjective vision, which indicates the advantages of this paper’s algorithm for image reconstruction. It can be seen that this gradual feature distillation from coarse to fine is effective in improving network performance. Our code is available at the following link: https://github.com/Cai631/PMDN.
Optimizing the Design of a Vocal Teaching Platform Based on Big Data Feature Analysis of the Audio Spectrum
Authors: Hao Jianhong
Published: May 2022

With the development of electronics and communication technology, digital audio processing technologies such as digital audio broadcasting and multimedia communication have been widely used in society, and their influence on people’s lives has become increasingly profound. At present, the real-time and accuracy of musical instrument tuners on the market need to be improved, which hinders the design of vocal music teaching system. Based on the BP neural network algorithm and fast Fourier transform algorithm in FPGA, this paper designs a real-time and efficient audio spectrum analysis system, which realizes the spectrum analysis function of music signal. The methods to calculate fast discrete Fourier transform are the FFT algorithm based on time extraction and the FFT algorithm based on frequency extraction. The characteristic of BP neural network algorithm is that it can not only obtain the corresponding estimation results by forward propagation of the input data but also carry out back propagation from the output layer according to the error between the estimation results and the actual results, so as to optimize the connection weight between each layer. This paper proposes to add Nios II system to FPGA processor and adopt cyclone IV in the hardware design of the system, which can be better compatible with the system designed in this paper. In the software part, WM8731 is used to process the audio data. WM8731 consumes very little power to the system, which will effectively improve the processing efficiency of the system. Compared with the original system, the data model obtained after screening and processing of the system model designed in this paper has an algorithm accuracy of more than 90%, among which the audio spectrum clarity of vocal music can reach 95%. Based on the above, the circuit of each module is tested, and in the specific experimental process, the audio frequency spectrum under different conditions is analyzed and data processed. The system can complete the collection and analysis of various music signals in real time, overcome the limitation of single function of traditional tuner, improve the utilization rate of tuner and the clarity of timbre, and also tune a variety of musical instruments and greatly improve the intonation of musical instruments and the utilization rate of tuner, which has a certain practical value.
Nerve-Sparing Laparoscopic Cystoprostatectomy Based on Inferior Hypogastric Plexus Dissection: Our Initial Experience
Authors: Zhong Peifeng , Wu Guohao , Li Haomin , Hu Xianguo , Wu Bingquan , Guo Zexiong , Zhuo Yumin , Li Xuesong , Lai Caiyong
Published: May 2022

Introduction: The aim of this study was to implement our technique for the initial dissection of the inferior hypogastric plexus and protection of the autonomic nerve supply to the corpora cavernosa in laparoscopic radical cystoprostatectomy with an orthotopic ileal neobladder and report the initial outcomes. Methods: Eleven normally potent patients with preoperative cT2N0 bladder cancer who underwent bilateral nerve-sparing laparoscopic cystoprostatectomy performed by the same surgeon were selected from May 2018 to September 2020. In this procedure, the anterior part of the inferior hypogastric plexus was dissected first between the prehypogastric nerve fascia and rectal proper fascia medial to the distal ureter. Then the Denonvilliers’ fascia and the nerves around the prostate were preserved according to current intrafascial principles. The preliminary operative, oncologic, and functional results are presented. Results: The median follow-up duration was 18 months. We observed early and late complications in 5 patients, but none exceeded grade III. Of the 11 patients, ten gained daytime continence (90.9%), and 8 (72.7%) showed nocturnal continence at the last follow-up. Regarding postoperative potency, 10 of the 11 patients (90.9%) remained potent with or without oral medications, excluding one who had partial tumescence but did not follow our recommendations regarding medication use. No local recurrence or positive surgical margins were noted. Conclusion: In addition to emphasizing our cavernosal nerve-sparing procedure, this report on the precise dissection and protection of the inferior hypogastric plexus could be of clinical significance, providing potentially ideal short-term functional results.
Urinary Epidermal Growth Factor: A Promising “Next Generation” Biomarker in Kidney Disease
Authors: Cortvrindt Charlotte , Speeckaert Reinhart , Delanghe Joris R. , Speeckaert Marijn M.
Published: May 2022

Background: The epidermal growth factor (EGF) is a globular protein that is generated in the kidney, especially in the loop of Henle and the distal convoluted tubule. While EGF is nonexistent or hardly detectable in plasma, it is present in normal people’s urine. Until now, risk stratification and chronic kidney disease (CKD) diagnosis have relied on estimated glomerular filtration rate (eGFR) and urine albumin/creatinine ratio (uACR), both of which reflect glomerular function or impairment. Tubular dysfunction, on the other hand, may also be associated with renal failure. Summary: Because decreased urine EGF (uEGF) indicates tubular atrophy and interstitial fibrosis, this biomarker, together with eGFR and uACR, may be employed in the general population for risk assessment and diagnosis of CKD. uEGF levels have been shown to correlate with intrarenal EGF mRNA expression and have been found to decrease in a variety of glomerular and non-glomerular kidney disorders. Key Message: uEGF, uEGF/creatinine, or uEGF/monocyte chemotactic peptide-1 are possible “new generation” biomarkers linked to a variety of kidney diseases that deserve further investigation as a single biomarker or as part of a multi-biomarker panel.
Profile and Work Immersion Performance of Accountancy, Business, and Man-agement (ABM) Students of Selected Implementing Schools in Subic District, Zambales, Philippines
Authors: Alcobendas Jestoni R.
Published: May 2022

Work immersion is a key subject under the Senior High School (SHS) curriculum that is conducted in different ways and time frame as needed by SHS learners. This study was conducted to find out the work immersion performance of the Grade 12 students at San Isidro High School and Subic National High School, Zambales, Philippines. The IV-DV model of this research involved the profile of the student respondents and their work immersion performances in the schools’ partner companies. This study utilized the descriptive method of research which adapted the DepEd Schools Division of Bulacan’s checklist for work immersion performance. Data revealed that student-trainees performed very satisfactorily on their work immersion showing good work ethics and personality suitable of a future employee in any company they want to apply in. Male and female ABM students have the same level in job skills which implied that the profile variables of the trainees have no influence on the work immersion performance. From the findings and conclusion of this study, the implementing schools may need to improve the academic performance of ABM students to reach an excellent level and may allow them to join trainings and seminars given to regular employees about improving work ethics and personality development.
Financial Decision Making-Skills among Managers of Small and Medium En-terprises in Relation to Business Performance
Authors: Racaza John Philip S.
Published: May 2022

The financial environment of a company is a main factor for the business success, especially SMEs forced to be highly efficient in allocating their limited resources to ensure survival and generate profits by financial constraints. This study aimed to look into the relationship of financial decision skills among managers of SMEs and business performance in Dapitan and Dipolog Cities, Zamboanga del Norte, Philippines during calendar year 2018. The study utilized the quantitative method. A standardized questionnaire checklist was made. The respondents were managers and employees. Secondary data from financial statement was also utilized, and the use of financial ratio was made in determining the business performance of SMEs. The main statistical tools used were frequency count, mean computations, analysis of variance, and Pearson r product moment coefficient of correlation. The study revealed that managers of Small and Medium Enterprises in Dapitan and Dipolog Cities only exhibits intuitive skill to cash ratio and rational skill to debt ratio. These findings support the claim that managers or owners practice intuitive skills and rational skills were effective in dealing their financial obligations. The researcher recommended that managers of SMEs should participate in training and seminars to enhance and develop the exact skills in financial decision-making that are attributable to the business performance.
Effect of SQ3R on Students’ Reading Comprehension
Authors: Cataraja Geryl
Published: May 2022

Comprehension is the primary objective reading, which promotes cognizance in all disciplines and so improves the teaching-learning process. The objective of this research was to see how SQ3R affected the reading comprehension of Grade 11 students at the Palompon Institute of Technology. The pretest-posttest control group design was employed in this research.  Sixty Students randomly assigned to either of the groups. To gather the data, a reading comprehension test was used. It was treated using the mean and t-tests for dependent and independent samples. The following findings were revealed: 1) The initial reading comprehension of the SQ3R was “fair to good” while the conventional reading strategy was also “fair to good.” 2) The students’ initial reading comprehension was of the same level; 3)The final reading comprehension of the SQ3R  was better than the conventional reading strategy ; 4) A significant difference was found between the initial and final reading comprehension of the students exposed to the SQ3R as well as those to the conventional reading strategy; and 5) There was a significant difference between the reading comprehension of the students exposed to the SQ3R and to the conventional reading strategy. This means that the SQ3R is a more effective strategy than conventional reading in the development of the students’ reading comprehension. On the above findings, it was concluded that students need a different reading strategy to improve their reading comprehension, but they perform better if they use the SQ3R instead of conventional reading strategy.
The Role Community Consumption, Inflation and Human Development Index On Economic Growth In West Java
Authors: Suprapto Hugo Aries , Sumaryoto  , Saleh Sugiyanto
Published: May 2022

The problem of the Covid-19 pandemic that occurred in all parts of Indonesia including the economic growth and the determinants of economic growth were very diverse, including public consumption, inflation and the development of the human index. Stable economic growth had an important impact on people's welfare. There were various factors that can influence economic growth, including public consumption, inflation and the human growth index (IPM). This study aimed to determine the effect of public consumption on community growth, determine the effect of inflation on economic growth, the effect of the human growth index (HDI) on economic growth, and the effect of community consumption, inflation, human growth index (HDI) on economic growth in West Java. The method used was a quantitative method. The data were processed using SPSS 21. The data were taken from the Central Statistics Agency of West Java. The data is in the form of time series from 2015 to 2020. The results of the study explain that there is an influence of community consumption on community growth, there was an effect of inflation on economic growth, and there was an influence of the human growth index (HDI) on economic growth, and the influence of community consumption, inflation, HDI on economic growth in West Java Indonesia. The government should decreased the inflation.
Gender – Fair Language in Teaching Basic Education
Authors: Gamboa Jerame N. , Bacani Michael Angelo , Baluyut Jennifer , Galura Olive N. , Manalastas Kristine E.
Published: May 2022

Education aims to create equality and respect through its components. One of those components is the learning delivery of any subject matter wherein language is mainly utilized. The study aimed to determine the usage of the gender sensitive language in teaching basic education at Don Honorio Ventura State University. It specifically sought to answer on the level of familiarity of the teachers on the gender-fair language; the frequency on the teacher’s usage of the gender-fair language; the common gender-fair terminologies used in motivation, discussion, performance tasks, assessments, and assignments; and the difficulties that the teachers encountered in using gender-fair language. The study used sequential explanatory type of research. It used questionnaires and interviews in gathering data. There are 65 participants who answered the survey and 11 of them participated in the focal group discussion. Based on the findings, the teachers are familiar with the gender-fair language but they sometimes use them in various areas of teaching such as in motivation, discussion, performance task, assessment, and assignment  due to the topic pertinence and student ability. With those findings, the conduct of wide dissemination through capability building on the use of gender-fair language is still needed.
Towards a Better Distance Learning: Experience of Radiologic Technology Students in a Higher Education Institution
Authors: Said Mariam Hadji , Dalug Normylene , Galawan Nihayah , Hibaya Harold Jay , Jenan Jenan
Published: May 2022

Radiologic Technology students are among those who felt the intensity of drastic changes brought by the pandemic in education, particularly when distance learning was utilized.  The main objective of this study is to find out the varied experiences of the selected students and find out the necessary measures that need to be taken to address the emerging issues that surround distance learning. This phenomenological qualitative research was done by interviewing the selected respondents from Iligan Medical Center College, transcribing their answers, and utilizing thematic analysis to find out the recurring themes. The respondents of this research were the eight selected students, who were enrolled in Radiologic Technology program. There were two respondents taken from each year level and interviewed online. The responses taken from the interview transcripts were grouped and labelled according to their semantic similarities. The researchers found out that the current distance learning practices of Iligan Medical Center College include online-synchronous and online-asynchronous learning. The students’ main problems regarding this type of education include their teachers’ lack of knowledge on technology utilization, financial constraints, internet connection problems, lack of focus on their lessons, their vulnerability to cheating, and the health issues and problems. Moreover, the coping strategies of the students to the problems they encounter in distance learning include time-management and getting support from the significant persons around them. In addition, the students assert that the school administration should monitor the teachers even more and improve their digital skills in order for them to relay the lessons more efficiently and effectively. Furthermore, they also emphasized that the teachers’ discussion should be livelier in order to encourage active learning and that they should be more considerate and patient, especially when the students try to approach them for something that they did not understand. In addition, the students also believed that the teachers should practice more in using their technological resources. Generally, data from this research imply that the distance learning will be even more successful if there is a proper preparation and training for both the teachers and students. Also, there should be an intervention program that will help the students in dealing with their mental and health issues.
Adão Iturrusgarai em perspectiva: pesquisas acadêmicas, obras e análises empreendidas (1991-2021)
Authors: Simões Alex Caldas
Published: May 2022

A partir de uma revisão bibliográfica, investiga-se a obra e as pesquisas acadêmicas realizadas com os quadrinhos de Adão Iturrusgarai, de janeiro de 1991 a janeiro de 2022. Destacam-se as obras e as personagens mais pesquisadas do autor; os pesquisadores principais, suas regiões e universidades, bem como as pesquisas desenvolvidas, área de estudos, temas, principais conclusões, e as mais citadas. A pesquisa constrói uma perspectiva de estudos com ênfase nos autores, destacando sua contribuição para o mundo dos quadrinhos e para as ciências humanas e das linguagens.
Entre o global e o local: uma reflexão sobre os anglicismos no léxico da moda sustentável
Authors: Oliveira Gabriela Andrade de , Orsi Vivian
Published: May 2022

O presente artigo observa o léxico no âmbito da temática da moda sustentável, com especial atenção para a presença ‒ ou ausência ‒ de estrangeirismos, mais especificamente de anglicismos. Sabe-se que a moda possui um campo léxico bastante produtivo e que existe uma forte presença de estrangeirismos no léxico deste discurso, principalmente de anglicismos e galicismos, conforme podemos observar nos trabalhos de Farias (2016) e Orsi e Formigoni (2014), por exemplo. A moda sustentável é, por sua vez, um tema que nasce no interior desse campo e posiciona-se como um movimento global. Ao mesmo tempo em que é um tema interior a esse âmbito, ele não é um tema puramente de especialidade, tendo em vista que existem blogs e movimentos dedicados a divulgar e conscientizar cidadãos-consumidores sobre os impactos negativos da moda. É neste âmbito que esta pesquisa se insere. Nosso objetivo é verificar se, neste discurso: (i) o uso expressivo de anglicismos também está presente; (ii) a presença ou ausência de estrangeirismos confere ao movimento o estatuto de globalidade, inclusividade ou exclusividade.
Pessoalidade e impessoalidade verbais: do esse ao “haver” com noção existencial
Authors: Carvalho Sávio Jorge da Silva , Oliveira Thiago Soares de
Published: May 2022

Trata-se aqui de um estudo diacrônico morfossintático-léxico-semântico, cuja temática geral diz respeito à pessoalidade e à impessoalidade verbais, a partir de pesquisa bibliográfica que recorre a fontes de dados constituídas por artigos, dicionários e livros dedicados à abordagem de temas caros à Linguística Histórica, à História da Língua Portuguesa e à Língua Latina. O objetivo deste trabalho é investigar, a partir das teorias apresentadas, o comportamento da pessoalidade do verbo esse, cujo sentido possível é a acepção de “existir”, e a pessoalidade do habere (haver) no latim clássico, contrastando a pessoalidade desta forma verbal com a impessoalidade do “haver” existencial no português. Ao fim, conclui-se que a impessoalização do verbo “haver” com noção existencial na língua portuguesa deve-se à confusão entre os casos latinos nominativo e ablativo durante o processo de mudança linguística.
Population Prevalence of Premature Truncating Variants in Plakophilin-2 and Association With Arrhythmogenic Right Ventricular Cardiomyopathy: A UK Biobank Analysis
Authors: Hylind Robyn J. , Pereira Alexandre C. , Quiat Daniel , Chandler Stephanie F. , Roston Thomas M. , Pu William T. , Bezzerides Vassilios J. , Seidman Jonathan G. , Seidman Christine E. , Abrams Dominic J.
Published: May 2022

Background:

Truncating variants in the desmosomal gene
PKP2 (PKP2
tv) cause arrhythmogenic right ventricular cardiomyopathy (ARVC) yet display varied penetrance and expressivity.

Methods:

We identified individuals with
PKP2
tv from the UK Biobank (UKB) and determined the prevalence of an ARVC phenotype and other cardiovascular traits based on clinical and procedural data. The
PKP2
tv minor allelic frequency in the UKB was compared with a second cohort of probands with a clinical diagnosis of ARVC (ARVC cohort), with a figure of 1:5000 assumed for disease prevalence. In silico predictors of variant pathogenicity (combined annotation-dependent depletion and Splice AI [Illumina, Inc.]) were assessed.

Results:

PKP2
tv were identified in 193/200 643 (0.10%) UKB participants, with 47 unique
PKP2
tv. Features consistent with ARVC were present in 3 (1.6%), leaving 190 with
PKP2
tv without manifest disease (UKB cohort; minor allelic frequency 4.73×10
−4
). The ARVC cohort included 487 ARVC probands with 144 distinct
PKP2
tv, with 25
PKP2
tv common to both cohorts. The odds ratio for ARVC for the 25 common
PKP2
tv was 0.047 (95% CI, 0.001–0.268;
P=
2.43×10
−6
), and only favored ARVC (odds ratio >1) for a single variant, p.Arg79*. In silico variant analysis did not differentiate
PKP2
tv between the 2 cohorts. Atrial fibrillation was over-represented in the UKB cohort in those with
PKP2
tv (7.9% versus 4.3%; odds ratio, 2.11;
P
=0.005).

Conclusions:

PKP2
tv are prevalent in the population and associated with ARVC in only a small minority, necessitating a more detailed understanding of how
PKP2
tv cause ARVC in combination with associated genetic and environmental risk factors.
Euphorbia berryi: a narrowly endemic Brazilian species
Authors: STEINMANN VICTOR W.
Published: May 2022

Euphorbi berryi is described and illustrated with photos. It is known from the Cerrado vegetation of Maranhão, Brazil, where it occurs on sandy soils in the municipality of Carolina at elevations of 187 to 350 m. The precise affinities of Euphorbia berryi are not clear, but it undoubtedly belongs to Euphorbia subg. Chamaesyce sect. Anisophyllum. It differs from other species of the section by the combination of being a delicate annual with the stipules united into an erose sheath; slender styles that are notched at the apex; and linear, entire, strongly falcate leaves that are scarcely asymmetrical at the base and have a white, straight to flexuous, quickly deciduous, hairlike extension at the apex. The latter feature is apparently unique in sect. Anisophyllum. Comparisons are made with Euphorbia burchellii and E. potentilloides, two species with which it has been confused. Its conservation status is preliminary assessed to be data deficient (DD) until the populations can be field evaluated.
A New Species of Black Mildew Causing Fungus Meliola konniensis (Meliolales) from Agasthyamalai Biosphere Reserve, India
Authors: GOKUL GOPINATHAN NAIR , THOMAS JACOB
Published: May 2022

A new species of black mildew causing fungus infecting Aglaia perviridis (Meliaceae) collected from Southern Western Ghats of Kerala State, India is described and illustrated. Simple straight setae with variously dentate apex and opposite antrorse appressoria having apex of head cells attenuated are the features which distinguish the species from other Meliola biotrophs associated on the host family Meliaceae. This is the third species of Meliola reported infecting the host genus Aglaia from Western Ghats of India.
Morphology and Phylogeny of a new species Pseudocercospora rauvolfiicola on medicinal plant Rauvolfia serpentina from Sonebhadra Forest, Uttar Pradesh, India
Authors: SINGH ARCHANA , SINGH PARAS NATH , DUBEY NAWAL KISHORE
Published: May 2022

A new species of Pseudocercospora is discovered causing foliar disease on the medicinal plant Rauvolfia serpentina (Apocynaceae) from India. The new species is described and illustrated on the morphology of asexual-morphs, growth characters and multigene phylogeny. Morphologically, new species has similar characters with allied species in Pseudocercospora but differs in having catenate and branched conidia. Phylogenetic analysis using combined LSU, ITS, ACT and TEF1α data supports the isolate to be a new species of Pseudocercospora (Capnodiales, Mycosphaerellaceae).
Description of eight new species of Otacilia Thorell, 1897 from southern China (Araneae: Phrurolithidae)
Authors: MU YANNAN , JIN CHI , ZHANG FENG
Published: May 2022

Eight new species of Otacilia Thorell, 1897 from China are described and illustrated, all with both sexes: O. furcata sp. nov., O. guoi sp. nov., O. jiajinshan sp. nov. and O. menghuo sp. nov. from Sichuan Province, O. triangula sp. nov. from Chongqing City; O. shunhuangshan sp. nov. from Hunan Province; and O. subkomurai sp. nov. from Hubei Province, O. xueshanensis sp. nov. from Guizhou Provice.
Contributions to the taxonomy, identification, and biogeography of Palaearctic Campopleginae (Hymenoptera: Ichneumonidae), with the descriptions of four new species from Iran
Authors: VAS ZOLTÁN , REZAEI SHOREH , FALLAHZADEH MAJID , MOHAMMADI-KHORAMABADI ABBAS , SAGHAEI NAZILA , LJUBOMIROV TOSKHO
Published: May 2022

In this paper four new species of Campopleginae (Ichneumonidae) are described from Iran: Campoletis rubella Vas, sp. nov., Cymodusopsis riedeli Vas, sp. nov., Lemophagus eburnipes Vas, sp. nov., and Melalophacharops persicus Vas, sp. nov. An identification key to the Palaearctic species of Cymodusopsis Viereck is given. Campoletis katalinarum Vas and Lemophagus foersteri (Tschek) are first reported from the Eastern Palaearctic region.
A New Thyroxine-Labeled Alkaline Phosphatase Chemiluminescence Immunoassay for Detection of Thyroxine Hormone
Authors: Zhang Qihan , Shen Ya , Gong Liuyu , Shen Lin , Xiao Haolin , Cao Liangli , Wei Shanshan , Hu Fangrong , Zhao Feijun , Chen Zhencheng
Published: May 2022

As the thyroxine (T4) precisely reflects the thyroid dysfunction for ourself, it becomes one of the most important indicators for patients to analyze the thyroid status. However, common methods for detecting T4 still contain an essential issue that natural T4 converts to biologically
active triiodothyronine and influences the result unpredictable. In this study, a new T4 protein was synthesized and applied on a thyroxine-labeled alkaline phosphatase chemiluminescence immunoassay for detection of thyroxine hormone. Under the optimal conditions, the applied immunoassay shows
a great linear range from 5 ng/mL to 300 ng/mL and exhibits comparable stability (12 months), sensitivity (1.01 ng/mL), and specificity (>0.5 ng/mL) compared with natural T4. Thus, the proposed new thyroxine-labeled alkaline phosphatase chemiluminescence immunoassay offers a better method
to synthesis thyroxine and shows a potential in promoting the stability and sensitivity for thyroxine In-Vitro diagnosis.
The Effect of a Novel Small Molecule Estradiol Guanidine Derivative on the Ovary and Uterus of Female Mice
Authors: Fan Jing , Wu Dan , Zhao Depeng , Hu Rui , Fu Zhihong , Li Xuemei
Published: May 2022

In this study, a novel small molecule estradiol guanidine derivative (Guanidoestradiol, GDT) for female reproductive system targeting and nitric oxide (NO) release has been constructed by conjugating 17β-estradiol and L-arginine through an esterification reaction. After intraperitoneal administration in female mice, the serum Griess assay and immunohistochemical analysis of ovary and uterus were performed. GDT effectively increased NO concentration in the blood and produced some bio-effects that are beneficial to the reproductive system. The specific advantages are as follows: (1) the introduction of guanidine groups and amino groups improves the water solubility and bioavailability of estradiol and is expected to exert other biofunctions; (2) the estradiol residue of GDT gives the NO donor the ability for ovarian and uterine targeting; (3) combined administration of estradiol and NO to the uterus and ovary promoted endometrial thickening and expression of vascular proliferation markers; (4) the abundance of iNOS in tissues was reduced after treatment with NO donors. We suggest that Guanidoestradiol is a promising small-molecule drug to enhance normal endometrial and ovarian function and may play a role in promoting reproduction.
A New Cu(II) Complex: Photodegrading Rhodamine B and Application on Laryngeal Cancer Surgical Bacterial Infection Combined with Preventive Care
Authors: Yang Xi , Zeng Ji-Hong , Xiao Ming-Zhao
Published: May 2022

Hydrothermal reactions of Cu(II) salts, K2Cr2O7, and bpp generated a new Cu(II) compound, namely, [Cu(Cr2O7)(bpp)2]n [1, bpp was 1,3-bis(4-pyridyl)propane]. The resulting compound had an optical
band gap of 3.22 eV and high photocatalytic activity for degrading Rhodamine B under UV light irradiation. The application of 1 combined with preventive care for laryngeal cancer surgical bacterial infection was explored, and the relevant mechanism was analyzed. The inflammatory cytokines,
i.e., TNF-α and IL-1β, released into the plasma during such infection was measured by ELISA. Real-time RT-PCR was performed to test the levels of relative expression of the bacterial survival genes after treatment with 1.
Therapeutic Activity of Silver Nanowires (Ag Nanowires) Combined with Edaravone and Nimodipine on Traumatic Subarachnoid Hemorrhage Complicated Disease
Authors: Chen Shanhu , Chen Gang , Du Liang , Zhang Deyi , Kong Laifa
Published: May 2022

Ag nanowires (Ag NWs) with different diameters were successfully synthesized by polyol reduction method. The Ag NWs’ size was controlled by the chloride concentration in the reaction system (0.12 g/mL–1/1.5/2 mL for samples 1, 2 and 3, respectively).
The Ag NW samples were fully characterized by SEM and PXRD analyses. The biological activity of Ag NWs 1–3 for the treatment of traumatic subarachnoid hemorrhage complicated disease was evaluated, and the mechanism was discussed. First, the inhibitory activity of Ag NWs 1–3
on the levels of S100 and VEGF in serum was examined via ELISA detection. Real-time RT-PCR assay was subsequently used to test the activation for the NF-κB signaling pathway in brain tissue after treatment with the compound.