bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH PERSEPSI HARGA DAN ULASAN PRODUK TERHADAP KEPUTUSAN PEMBELIAN ONLINE (Survei pada konsumen Erigo Official Shop Shopee.co.id di Kota Tasikmalaya)
Authors: Setiawan Rudy Azhar , Askolan Askolan , Pauzy Depy Muhamad
Published: December 2023

Penelitian ini bertujuan untuk mengetahui pengaruh persepsi harga dan ulasan produk terhadap keputusan pembelian online pada Erigo Official Shop Shopee.co.id di Kota Tasikmalaya. Metode penelitian yang digunakan adalah kuantitatif dengan penelitian kausalitas dan pendekatan survei. Populasi dalam penelitian ini tidak diketahui dan sampel diambil sebanyak 100 responden dengan rumus lemeshow. Teknik pengambilan sampel yang digunakan adalah purposive sampling. Data diperoleh dengan menggunakan instrumen kuesioner. Metode analisis data dalam penelitian ini yaitu uji validitas, uji reliabilitas, uji asumsi klasik, analisis regresi linear berganda, analisis koefisien korelasi, analisis koefisien determinasi, uji F, dan uji t. Perhitungan data menggunakan software SPSS 25. Hasil penelitian menunjukan bahwa persepsi harga dan ulasan produk berpengaruh signifikan terhadap keputusan pembelian online di Erigo Official Shop Shopee.co.id Kota Tasikmalaya. Persepsi harga berpengaruh signifikan terhadap keputusan pembelian online di Erigo Official Shop Shopee.co.id Kota Tasikmalaya. Ulasan produk tidak berpengaruh signifikan terhadap keputusan pembelian online di Erigo Official Shop Shopee.co.id Kota Tasikmalaya.
FAKTOR-FAKTOR YANG MEMPENGARUHI STRES KERJA KARYAWAN
Authors: Maghfirah Nurul
Published: December 2023

Stres kerja merupakan faktor penting bagi bisnis, terutama karena hubungannya dengan kinerja pekerja. Sebuah perusahaan harus berkinerja baik untuk menghasilkan keuntungan. Tingkat kinerja yang tinggi adalah ideal. Sebaliknya, kinerja yang menurun dapat merugikan bisnis. Tidak diragukan lagi, setiap karyawan akan mengalami stres yang berhubungan dengan pekerjaan.Data kuantitatif dikumpulkan melalui kuesioner, wawancara, dan dokumentasi untuk penelitian ini. Uji validitas, reliabilitas, dan uji Asumi tradisional digunakan dalam pengujian variabel. Sebanyak 83 responden menjadi sampel penelitian, dan SPSS 20 for Windows digunakan untuk menganalisis data menggunakan regresi linier berganda.Hasil penelitian menunjukkan bahwa faktor lingkungan, faktor organisasi, dan faktor individu memiliki pengaruh yang positif dan signifikan terhadap stres kerja yang dikategorikan sangat kuat. PT Bank Rakyat Indonesia (PERSERO) Tbk. berupaya untuk menurunkan stres kerja karyawan agar tingkat stres yang dialami berada pada titik ideal yang dapat memaksimalkan kinerja karyawan dengan cara meningkatkan kesejahteraan karyawan, baik kesejahteraan finansial maupun non finansial.
DOES ISLAMIC ENTREPRENEURSHIP ALIGNED WITH DIGITALIZATION ERA?
Authors: Rahmayanti Ifada , Wardiyanta Wardiyanta , Ikawati Retty
Published: December 2023

The purpose of this article is to explain several research gaps including: the assumption that occurs in society that entrepreneurship carried out Islamically is often not in line with the digitalization era. The view that Islamic entrepreneurship is the same as trading conventionally is still inherent in society. In addition, digital problems are not the main goal of Muslims. Therefore, how to align Islamic entrepreneurship with the era of digitalization needs to be investigated furtherThis study applies feasibility study with qualitative descriptive method. It is stated that problems that occur in society must be studied in certain situations, including regarding the relationship between events and SWOT analysis as a strategy, as well as the views that prevail in society.  Because of such findings, the interjection using SWOT analyisis as a strategy resulted in an enlightenment, namely Islamic entrepreneurship can be in harmony with digital technology. The novelty of the study is important, namely that research with this title has not existed before. The discovery of the novelty of this research can be seen in figure namely Analysis SWOT Diagram for Islamic Entrepreneurship Alignment with Digital Era. For The implication that can be carried out is that this research can be a reference material not only for Muslim entrepreneurs but also general entrepreneurship that to advance their businesses must align with technology at that time.
Corporate governance and its effect on ethical lapses
Authors: Gavin David , Gavin Joanne
Published: December 2023

There is much research that examines the connection between different elements of corporate governance to specific firm outcomes (Brahmana et al., 2021; Fakhfakh & Jarboui, 2022), including ethical outcomes (Veldman et al., 2023). However, little is written about how to prevent ethical lapses from ever happening. Using the framework of agency theory, this study examined the effect of the board of directors’ power and the chief executive officer’s (CEO’s) power on the firm’s ethical behaviors. We sought to find out if strong governance, whether CEO or Board, could play a role in stopping ethical lapses before they happen. To evaluate this relationship, two indices were used. The board power index included board size, non-duality, lead director, board composition, and ownership. The CEO power index included tenure, ownership, and board member nominations. The sample consisted of 102 large, public United States (U.S.) firms. Logistic regression was utilized to determine if board power or CEO power could influence ethical firm behaviors. The findings indicated that strong boards were associated with more ethical firms. CEO power did not seem to have the same relationship. These findings are important to help firms structure boards to increase vigilance and reduce the likelihood of ethical lapses.
The impact of sustainability reporting on a company’s financial performance: Evidence from the emerging market
Authors: Shaban Osama Samih , Barakat Abdallah
Published: December 2023

The potential impact of sustainability reporting on a company’s financial performance could be measured through its stock price, profitability, or other financial metrics. This research aims to investigate the relationship between sustainability reporting and financial performance, in order to provide insights for companies, investors, and other stakeholders on the potential benefits and drawbacks of sustainability reporting. The research community of this study is formed out of all the 13 Jordanian commercial banks listed in the Amman Stock Exchange, and covering the period from 2012–2021. The study is a census study as it involves collecting data from every member of the study population, which allows for a comprehensive analysis of the relationship between sustainability reporting and financial performance. The data was collected from publicly available sources and analyzed using multiple regression analysis. The results of the study suggest that there is a strong linear relationship between sustainability reporting and the dependent variables return on assets (ROA) and financial leverage (LEV), but the relationship between sustainability reporting (SR) and return on equity (ROE) is not statistically significant. These findings provide insights for companies, investors, and other stakeholders on the potential benefits and drawbacks of sustainability reporting and can inform decision-making around sustainability initiatives.
How art made me (in)sane
Authors: Nabila Ayu Aviani
Published: December 2023

From the moment I was born, my grandmother said the following words to my mother about me:

“Be careful with this one, this child will be tough as a rock.”

My grandmother was not wrong. I was a tough child – I am a tough child. It was not until later during my teenage years that I was diagnosed with the disorders that would completely shift my world. I spiralled down deeper into agony and self-destructive behaviours. My mental health consistently deteriorated, my disorders consuming every bit of me, and I felt insane.

In art, I found my escape. Through Edvard Munch, a mastermind who was able to decipher and express his troubles in art, I felt less alone. Unable to cope with my intense emotions, I have always been convinced that I am, in one way or another, insane.

And for the first time, through art, I felt somewhat sane.
STYLISTICS ANALYSES OF 'ONE ART', 'DO NOT GO GENTLE INTO THAT GOOD NIGHT', AND 'VILLANELLE OF SPRING BELLS'
Authors: Agustin Ernawati , Bram Barli
Published: December 2023

Stylistic elements play crucial roles in poetry writing, particularly for making poems sound more pleasing and meaningful. This paper, accordingly, aimed to find out the phonological, graphological, and grammatical features in villanelles,19-line poems with six stanzas, entitled One Art, Do Not Go Gentle into that Good Night, and Villanelle of Spring Bells. This study employed a descriptive-qualitative method with the data in the forms of 52 prepositional phrases. The findings indicate that, there are two main phonological features in the villanelles, namely consonance and assonance. Aside from that, each villanelle shows graphological features in the forms of different punctuation marks that reflect various meanings. There are also the uses of capital letters at the beginning of each stanza. Regarding the grammatical aspects, prepositional phrases have the highest frequency with the total of 52 occurrences in all the three villanelles. The use of these stylistic elements facilitates the readers to understand the messages of literary works. The readers could gain knowledge of the phonological, graphological, and grammatical features of villanelles by studying the stylistic elements in these three villanelles.
Radiolarian assemblage from radiolarites of the Krs Gradac section (SW Serbia): On the way to a better reconstruction of the Middle-Late Jurassic geodynamic history of the Inner Dinarides
Authors: Djeric Nevenka , Vuletic Marija
Published: December 2023

The type section of the Gonje Formation (Krs Gradac, Sjenica area) is characterized by an abundance of radiolarian tests, which, however, are gene rally recrystallized and poorly preserved. This paper focuses on the age of radiolarite sequence below the series with intercalated turbidites and mass transport deposits. The Callovian/Oxfordian (?early Oxfordian) moderately preserved radiolarian assemblage was determined from the higher part of the radiolaritic sequence without mass transport deposits. The new biostratigraphic age is consistent with the previously published data of the authors and reveals that the radiolaritic sequence without mass transport deposits of the Gonje Formation was deposited between the Bathonian and Oxfordian. The biostratigraphic age of this part of the Gonje Formation evidence that the Ljubis Basin underwent in Late Oxfordian to earliest Tithonian times a phase of starvation with reduced sediment supply or production. The reasons for this starvation are discussed.
Occurrence of Gastrointestinal Adverse Events upon GLP-1 Receptor Agonist Initiation with Concomitant Metformin Use: a post-hoc analysis of LEADER, STEP-2, SUSTAIN-6, and PIONEER-6
Authors: Klein Klara R. , K. B. Clemmensen Kim , Fong Edwin , Olsen Søren , Abrahamsen Trine , Lingvay Ildiko
Published: December 2023

OBJECTIVE

To assess the impact of concomitant metformin use on gastrointestinal adverse events during the initiation and titration of GLP-1RA.

RESEARCH DESIGN AND METHODS

Using data from four clinical trials of liraglutide and semaglutide (LEADER, STEP-2, SUSTAIN-6, and PIONEER-6), we compared the incidence of gastrointestinal adverse events during GLP-1RA initiation and titration in participants with and without concomitant metformin use.

RESULTS

Of 16,996 participants, 12,928 (76%) were treated with metformin. Concomitant metformin use did not increase the percentage of participants who developed gastrointestinal adverse events or their severity during the observation window. Among participants experiencing gastrointestinal adverse events, metformin use did not increase study product discontinuation. Within treatment arms (GLP-1RA and placebo), a numerically higher percentage of metformin non-users experienced GI adverse events and discontinued study product compared to metformin users.

CONCLUSIONS

Concomitant metformin use does not increase occurrence of gastrointestinal symptoms during GLP-1RA initiation or impact GLP-1RA discontinuation.
Nearly Two Years Since the Start of the Full-scale War in Ukraine: The Rights of Russia’s Indigenous Peoples Continue to Deteriorate
Authors: Zmyvalova Ekaterina
Published: December 2023

Since the beginning of Russia’s full-scale war in Ukraine, Arctic Review on Law and Politics has been publishing reports on the situation of Indigenous peoples of Russia, on the changes in Russian legislation, and on the lives of Indigenous individuals who have left Russia rather than comply with the political regime. This article contributes to the journal’s efforts to shed light on the challenges related to the war in Ukraine and covers the following topics: 1) the continuing changes in Russian legislation and their aggravating impact on Indigenous peoples of Russia; 2) the worsening problem of crime in Russia and it’s impact on the wellbeing of Indigenous peoples; and 3) international cooperation of Indigenous peoples of Russia.
Russia, ‘double standards’, and the contestation of equivalence 2000–2019: A corpus-based exploration
Authors: Neumann Iver B
Published: December 2023

Iver B. Neuman omtaler avhandlingen til Kristian Lundby Gjerde Russia, ‘double standards’, and the contestation of equivalence 2000–2019: A corpus-based exploration.
Iver B. Neuman reviews the PhD dissertation Russia, ‘double standards’, and the contestation of equivalence 2000–2019: A corpus-based exploration, by Kristian Lundby Gjerde.
existencia social parcial del movimiento ateo brasileño
Authors: Testa Sabrina
Published: December 2023

Partiendo del abordaje relacional de la no-religión propuesto por Johannes Quack (2014, 2020), este artículo se propone, en primer lugar, esbozar una descripción de las formas sociológicas asumidas por las tentativas de articular un movimiento ateo en Brasil y, en segundo lugar, partir de esas descripciones para elaborar algunas reflexiones de segunda orden sobre la forma y el estatuto de lo religioso en ese contexto específico. Estas elaboraciones tienen por base un trabajo de campo etnográfico multisituado llevado adelante entre septiembre de 2016 y febrero de 2018 de forma virtual y presencial en las redes de activismo ateísta del país. En conjunto, se afirma que, en Brasil, las iniciativas ateístas resisten el paso de lo individual a lo colectivo, permaneciendo en un estado de semiexistencia social que no por paradojal resulta menos constitutivo. Esta configuración, se argumenta, es función de la asociación generalizada de la idea de religión a la idea de iglesia y, conjuntamente, de lo religioso a lo social. Se reflexiona, a partir de allí, sobre la persistencia de dinámicas de longa data en el campo religioso brasileño, a pesar de las tendencias de transformación registradas desde los años 1980.
Comparison of Spatio-Temporal Changes in Forest Ecosystem Functions from 1996 to 2018: A Case Study from Türkiye
Authors: ÜNAL Hasan Emre
Published: December 2023

The objective of this study was to determine the temporal changes in forest ecosystem values (economic, ecological, and socio-cultural functions) for the 1996, 2009 and 2018 planning periods. For this purpose, forest management plans and forest cover type maps were used to reveal the changes in forest ecosystem values for the planning periods. Temporal changes in forest ecosystem functions were discussed in terms of economic, ecological and socio-cultural functions which are three essential functions. There has been a decrease in the amount of area for economic purposes in the region in the following planning periods. A general decrease in areas for economic purposes and a general increase in areas for ecological purposes were determined during the planning periods. While there was not any area for socio-cultural purposes in the 1996 planning period, there was an area of 1631 ha in the 2009 planning period and 1575 ha in the 2018 planning period. Demands of the society and the changes in forest management planning approaches over time, changes have occurred in forest functions. Depending on these changes, decreased in production forests and increases in non-production forests (ecological and socio-cultural) were observed.
Konseling Spiritual Sebagai Upaya Meningkatkan Psychological Well-Being Lansia yang Menderita Sakit Tua
Authors: Amir MZ Mardiah
Published: December 2023

Lansia adalah seseorang yang telah mamasuki fase terakhir dalam rentang kehidupan manusia. Pada fase ini manusia akan mengalami banyak perubahan baik secara fisik, psikis, sosial, maupun kesehatan. Masa-masa tua terkadang menyenangkan dan terkadang tidak menyenangkan karena pada fase ini banyak lansia yang menderita sakit tua akibat dari penurunan kondisi kesehatan seperti hipertensi, penyakit jantung, katarak, diabetes, stroke, dan penyakit tua yang lainnya. Penyakit yang diderita pada lansia dapat menyebabkan psychological well-beinnya terganggu. Konseling spiritual merupakan suatu upaya yang diberikan oleh konselor untuk meningkatkan psychological well-being pada lansia yang menderita sakit tua. Penelitian ini merupakan penelitian kualitatif dengan jenis library research. Pengumpulan data dilakukan dengan cara melakukan penelaan terhadap berbagai literatur-literatur yang relevan dengan kajian penelitian yang kemudian dianalisis dengan menggunakan analisis isi dan hasilnya dipaparkan secara deskriptif. Dari hasil penelaan beberapa literatur diperoleh enam jurnal yang relevan dengan kajian yang diteliti dengan hasil bahwa konseling spiritual dapat meningkatkan psychological well-being pada lansia yang menderita sakit tua. Lansia yang memiliki psychological well-being yang tinggi akan siap menjalani masa tuanya, ikhlas menerima segala ujian yang diberikan oleh Allah SWT, berpikir positif terhadap penyakit yang dideritanya, mengisi masa-masa tua dengan kegiatan beribadah dan hal-hal positif, serta mempersiapkan diri dengan baik untuk menghadapi kematianTRANSLATE with x EnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian //  TRANSLATE with COPY THE URL BELOW Back EMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster PortalBack//
Conceptual Change in Life Sciences Learning: The Impact of Teaching Tools on Knowledge Representation
Authors: Mhlongo Thabo , Sedumedi Thomas Dipogiso
Published: December 2023

This article explores the impact of tool-method combinations on conceptual changes, comparing the use of interactive whiteboards (TFM-IWBs) and traditional blackboards (TFM-TBBs). These combinations are integrated with traditional teaching methods (TFM) for educational purposes, focusing on natural science topics in Grade 9. The study analyzes specific changes in knowledge representation using qualitative approaches and a quasi-experimental design. The results show student knowledge structure variations depending on the tool-method combination used. The TFM-TBB combination primarily affects declarative knowledge, while TFM-IWB more significantly influences procedural and conditional knowledge. Hence, there is an impact of tool-method combinations on conceptual changes. This research recommends further investigating how different tool-method combinations affect learning outcomes across various subjects and educational levels.
Calcium release deficiency syndrome, a rare variant of catecholaminergic polymorphic ventricular tachycardia
Authors:   Research and Clinical Institute of Pediatrics named after Academician Yuri Veltischev with the Pirogov Russian National Research Medical University, Moscow, Russia, Kovalev I.A. , Soloviov V.M. ,   Research and Clinical Institute of Pediatrics named after Academician Yuri Veltischev with the Pirogov Russian National Research Medical University, Moscow, Russia, Bereznitskaya V.V. ,   Research and Clinical Institute of Pediatrics named after Academician Yuri Veltischev with the Pirogov Russian National Research Medical University, Moscow, Russia, Kulbachinskaya E.K. ,   Research and Clinical Institute of Pediatrics named after Academician Yuri Veltischev with the Pirogov Russian National Research Medical University, Moscow, Russia, Termosesov S.A. ,   Research and Clinical Institute of Pediatrics named after Academician Yuri Veltischev with the Pirogov Russian National Research Medical University, Moscow, Russia, Terekhova N.V. ,   Research and Clinical Institute of Pediatrics named after Academician Yuri Veltischev with the Pirogov Russian National Research Medical University, Moscow, Russia
Published: December 2023

Authors present a difficult-to-diagnose clinical case of cotecholaminergic polymorphic ventricular tachycardia (CPVT), a rare hereditary disease, which is characterized by mutations most often in the RYR2 gene with increased function of the ryanodine receptor, which in its turn is the main protein of calcium channels in the sarcoplasmic reticulum of cardiomyocytes. The mechanism of development of the pathology is based on late post-depolarization, which is a trigger for the occurrence of severe ventricular arrhythmias associated with a high risk of sudden cardiac death. Ventricular arrhythmias in children with CPVT can causally be reproduced using an exercise test at a low heart rate threshold. However, there have been reports of sudden cardiac death in individuals who had the loss-of-function RyR2 mutations and who have nevertheless had negative stress test results. The main clinical manifestation is syncope, the genesis of which may remain unknown for a long time. The described clinical case demonstrates the complexity of diagnosis, for which the routine cardiological examination isn’t enough. Specialists therefore have difficulties in making the correct diagnosis and determining the patient management tactics.
Superabsorbent polymer and its effect on maize germination, emergence and genetic diversity of rhizosphere microorganisms
Authors: Ondreičková Katarína , Hrčková Katarína , Klčová Lenka , Cilík Peter , Gubiš Jozef
Published: December 2023

The application of superabsorbent polymer (SAP) for seed coating of agricultural crops is an innovative and promising method to effectively reduce plant stress during dry periods and thereby contribute to sustainable agriculture. However, due to the lack of experiments using SAP in field conditions in Central Europe, we focused on determining the effect of synthetic SAP, which was used for coating maize seeds, on the germination and emergence of these plants as well as on determining its impact on the genetic diversity of microbial communities in the maize rhizosphere for two consecutive years. The results showed that the growth parameters of coleoptiles and root systems of germinating maize plants at the very early development stage were biased in favour of SAP-coated seeds, and some values were statistically higher in the second year of evaluation. Similar observations were recorded in the assessment of maize emergence parameters. Also, these values were better when using SAP-coated seeds compared to the untreated controls. Plant height, dry weight, leaf tip number, and the Soil Plant Analysis Development (SPAD ) value were statistically higher in the second year of evaluation. The rhizosphere bacterial and fungal genetic diversity results did not confirm statistically significant differences between the SAP-coated and control maize seeds. They concern both alpha diversity indices and the results from multivariate statistical methods. Principal coordinate analysis results with cluster analysis show that the main factor influencing the microbial diversity in the maize rhizosphere was the collection date, especially the year of sampling than t he use of SAP-coated seeds.
The Use of Carrot and Apple Pomace in the Production of Healthy Snack Bars
Authors: Łusiak Patrycja , Mazur Jacek , Sobczak Paweł , Zawiślak Kazimierz , Panasiewicz Marian
Published: December 2023

In recent years, the increasing popularity of healthy eating brought about a significant increase in the consumption of fruit and vegetables in the form of juices, purees and cocktails. In the process of their production, the byproduct is pomace, which is treated by the food processing industry as waste. Assuming that pomace accounts for only 20% of the raw material used, annually up to 630 000 tonnes of pomace are obtained globally. However, numerous studies have demonstrated that fruit pomace is a valuable source of many nutritious substances. The objective of the study was to develop a compression-based production technology of apple pomace-based bars, and to assess their quality. Based on the analysis of the structure of produced bars, it can be concluded that their hardness and resistance to cutting does not differ significantly from that of commercial bars made with alternative technology and from different ingredients.
Cloud Computing Based Online Video Rhythmic Gymnastics Course Management
Authors: Chen Yingying , Liu Siqi
Published: December 2023

In this paper, we utilize cloud computing to measure the best features in the Rhythmic Gymnastics dataset and compare them to obtain the most relevant feature information. By measuring the degree of uncertainty of random variables and calculating the course recommendation of target students relative to those in the subgroups, the clustering results of Rhythmic Gymnastics students were integrated with the target students’ performance information to derive the probability of Rhythmic Gymnastics courses appearing in the subgroups. Weight control, physical fitness, and good shape were significantly altered, and 95.66% of the Rhythmic Gymnastics students who took the course felt more flexible. Integration of online videos from cloud computing with the Rhythmic Gymnastics course makes full use of various media forms to provide more learning opportunities for students.
Development of Visual Culture in Product Design with Application of Digital Mining Technology
Authors: Zhu Siyu
Published: December 2023

The development and use of digital mining technology provide new trends for product visual design. This paper identifies the product design system using the product appearance design framework. Digital technology is integrated into the product’s visual style, and the empathy design method is utilized to communicate the product’s culture. Apply fuzzy language summarization algorithm of digital mining technology to calculate user demand data, propose weight calculation method based on fuzzy language summarization results, and set objective weights of product user demand. The design of product visual culture is based on the results of acquiring and parameterizing product users’ perceptual demands, and the design results are evaluated in terms of three-party satisfaction. The average satisfaction values of industrial design experts, automobile appearance researchers, and mass consumers are 4.09, 4.23, and 4.53, respectively, indicating that the visual design results of automobile appearance have a high degree of user satisfaction, which is in line with the expectations of design practice.
Influential Factors on the Enhancement of Comprehensive Vocational Competence in Higher Vocational English Courses by Applying Statistical Analysis Methods
Authors: Zhang Yuan
Published: December 2023

In this paper, we first constructed a model for analyzing the factors influencing the vocational competence of higher vocational English using the logistic regression model and optimized the model by maximizing the likelihood function and minimizing the loss function in order to obtain the best model. Then, the model’s performance was evaluated, the binomial categorical logistic regression parameters were calculated, and the dominance ratio of each influential variable was analyzed using the model. Then, based on the model, the degree of influence of each influential factor on comprehensive vocational competence in English courses was explored, and the correlation between subjective and objective factors and English vocational competence was analyzed. The study shows that the water of significance of each factor on vocational competence is in the range of 5%-10%, and the p-value of each influencing factor in the independent t-test is less than 0.05, which indicates that the different influencing factors have a positive influence on vocational competence. This study provides a scientific basis for higher vocational English education and is of great significance for the reform and innovation of higher vocational English education.
Influencing Factors and Realization Strategies of Teachers’ Professional Development in Higher Vocational Colleges and Universities Based on the Background of Deep Learning
Authors: Wang Yashu
Published: December 2023

The fuzzy comprehensive evaluation algorithm is employed in this paper to evaluate teachers’ professional competence and improve the traditional evaluation system to construct a comprehensive evaluation system. According to the Zagan theory, twenty-three influencing factors of teachers’ professional development were screened, and five main influencing factors were derived after exploratory factor analysis and structural equation test. Countermeasures and suggestions were proposed after analyzing the factors that affect the professional development of teachers in higher vocational colleges. The results show that the model KMO value is 0.923, Bartlett’s spherical test chi-square value is 2712.752, and the significance probability value P=0.000<0.005 is statistically significant. The correlation coefficients between the five main factors are in line with the condition of correlation attribute defined among the factor analysis variables, with a range of 0.37 to 1.00. The optimization countermeasures proposed in this paper have important theoretical significance and practical significance for the professional development of teachers in higher vocational colleges.
The Path of Improving the Effectiveness of Class Teachers’ Parenting in Private Colleges and Universities Based on Decision Tree Models
Authors: Liu Fengyun
Published: December 2023

This paper firstly researches the path to enhance the effectiveness of class teacher’s collaborative parenting in private colleges and universities, mainly studies the two collaborative parenting modes of “Counselor + Freshman Class Teacher” and “Class Teacher + Academic Mentor” and summarizes the roles and main links in the two modes. The two modes’ roles and subject connections are summarized. On the basis of the second decision tree, the C4.5 algorithm is used to calculate the sample data set and then get the results of student characteristic information gain, and then the decision tree is generated according to the results of student characteristic information gain, disaggregated attributes and split points. Then, the student characteristic information gain is used as the selection measure of attributes, and then the decision tree-based classroom teacher teaching and educating model is constructed, and the effectiveness of classroom teacher education in private colleges and universities is statistically analyzed. The results show that there are significant differences in the dimensions of caring for students [F(2, 86)=5.58, P=0.005] and instructing students’ ability [F(2, 86)=3.42, P=0.038] among classroom teachers of different classroom teacher’s tenure in private colleges and universities, and there are no significant differences in the other dimensions of educating people’s ability. This research knot promotes the improvement of classroom teachers’ parenting ability in private colleges and universities, which is important for the improvement of students’ learning ability.
Strategies for Enhancing the External Communication of Chinese Culture in the Age of Big Data
Authors: Wang Fangfang
Published: December 2023

The value of Chinese culture’s external communication is used as an entry point to construct the external communication ecosystem in this paper. In order to be able to analyze the factors affecting communication power, the differential game in game theory is used to make the optimal decision of the communication power strategy and then construct the system of the external communication power of Chinese culture. The specific factors affecting the external communication power of Chinese culture are analyzed through multiple covariance tests, regression tests, and robustness tests. The results show that there is a significant positive correlation between Confucius Institutes (CIs) and the spread of Chinese culture to the outside world. The power of Chinese culture spreading to the outside world will increase by 0.9%-2.5% with every 10% increase in the number of CIs. For every 10% increase in the proportion of the total population using the Internet, the contribution to the spread of Chinese culture abroad is approximately 10%-15%. This shows that the foreign communication power of Chinese culture can be further enhanced by building Confucius Cloud Academy in the era of big data.
A Comparison of English Learners’ Translation Bias Using Neurosemantic Analysis
Authors: Bian Xiaoqian
Published: December 2023

This paper first explores translation bias and bias analysis and comes up with the characteristics of English translation bias. Secondly, the neural semantic analysis method is created by combining corpus technology and a neural machine translation model, and translation optimization is done based on neural semantic analysis. Finally, the performance of the neural semantic analysis method and the translation effect using the neural semantic analysis method are experimented with, and a comparative analysis of bias is carried out. The results show that the average accuracy of document recognition by the method based on neural semantic analysis is around 0.92, the difference between different languages by using neural semantic analysis is around 0.01, and the bias degree of translation techniques and translation units using the neural semantic method has been reduced by 0.17~0.24, and 0.10~0.17, respectively. The use of neural semantic analysis is able to reduce the translation bias of English language learners and thus improve the accuracy of translation.
Mechanisms and Strategies for the Growth of Territorial Tourism Industry under the Transfer Matrix Model
Authors: Chen Yueming
Published: December 2023

In this paper, firstly, according to the conditions of the growth of the tourism industry in the whole region and the requirements of the growth mechanism, the time sequence of the growth of the tourism industry in the whole region is divided into three phases: the initial start-up phase, the mid-growth phase and the late maturity phase, and puts forward the strategy of the growth of the tourism industry in the whole region. Then, on the basis of the transfer matrix model, according to the law of tourism industry development to determine the tourism industry’s independent variable power function, considering the impact of economic policy and monetary policy on the development of the tourism industry, the need to eliminate the direct effect of the tourism industry independent variable, and then construct the transfer matrix based on the spatial distribution of the tourism industry analytical model and hierarchical system analytical model, and the whole region of the tourism industry in Hubei Province for example research and analysis. The results show that on the model analysis, the prediction accuracy of VM and FM varies among five different groups: purchase>tour> food>travel>housing. In the tourism industry, the correlation coefficient between “food and beverage, accommodation, shopping and entertainment” is around 0.95. This study not only contributes to the green and sustainable development of China’s tourism industry but also is an important step in promoting the construction of ecological civilization.
The Construction of a Precision Education Model of English in Colleges and Universities Based on Regression Modelling
Authors: Ruan Guoyan
Published: December 2023

This paper first clarifies the goal of English precision teaching, constructs a big data precision teaching model by combining it with Internet technology, and designs a precision teaching flow chart. Then the regression model is used to construct the assessment model of the precise teaching program, portraying the relationship between the teaching effect and students’ characteristics and behavioral performance under the teaching program. Then, the parameters of the assessment model were evaluated using a similar least squares method to optimize the model. Finally, the assessment model was used to analyze the level and impact of English precision teaching. The results show that there is a significant improvement in students’ performance after precision teaching p=0.00<00.05. In terms of the level of teaching, there is 78.76% of classroom teaching conformity, 69.68% of precision optimization teaching conformity, and 66.67% of precision diagnosis teaching conformity, which is close to the level of comparative conformity. This study has important reference value for English teaching in colleges and universities.
A Study on the Impact of Low-Carbon Policies on New Energy Vehicle Marketing in the Age of Artificial Intelligence
Authors: Li Xudong , He Shoukui , Wang Bo , Ma Weiwen
Published: December 2023

The country’s low-carbon policy makes the new energy industry vigorously promoted, and at the same time, the addition of artificial intelligence technology also makes the new energy and traditional fuel vehicles pull apart. This paper decomposes the influencing factors of transportation carbon emission by measuring the energy saving and emission reduction of transportation of new energy vehicles, using the extended Kaya constant equation of transportation carbon emission and the generalized Fisher index method. From the government subsidies and tax incentives in low carbon policies, the impact of policies on the performance of new energy vehicle enterprises is explored by analyzing the empirical regression results. The results show that the correlation coefficients of financial subsidies and enterprise performance are 0.135, 0.09, and 0.081, and the correlation coefficients of tax preferences and enterprise performance are 0.075, 0.172, 0.08, respectively, which indicate that low-carbon policies have positive incentive effects on new energy vehicle marketing. This paper provides a reference for the related low-carbon policy incentive theory.
Research on the Application of Chinese Cultural Elements in Product Packaging Design under the Background of Big Data
Authors: Yang Caijun
Published: December 2023

The K-means color extraction method based on clustering is used to extract Chinese cultural color elements in this paper, and they are intelligently laid out to design product packaging colors. In the processing of graphic elements, a SIFT-based algorithm is used to match the feature points, and the Chinese cultural graphic elements are aligned to design the graphics of product packaging. To investigate the extraction and application effects of color elements and graphic elements, a validation test was conducted on this basis. The results show that the overall effect value of traditional packaging color design is between [0.6, 0.7], the overall effect value of intelligent packaging design based on Chinese cultural elements is between [0.88,0.96], and the overall effect of the application of graphic elements of Chinese culture to product packaging design is high, with a difference of about 0.1 from the expected effect. Based on this study is able to apply the elements of Chinese culture to product packaging design.
Big data-based digital management system for the whole process of financial reporting in SMEs
Authors: Yu Xiaoli
Published: December 2023

Based on big data technology, this paper designs a digital management system for the whole process of financial reimbursement and gives the automatic transformation process of digitalization of financial reimbursement claims and accounting documents. In the K-Means algorithm, the AHC algorithm idea is introduced to construct the DH-K-Means clustering algorithm, which in turn enables the financial reimbursement behavioral portrait of enterprise employees to be constructed. To confirm the effectiveness of the system application in this paper, performance testing and portrait analysis were carried out. The results show that the maximum memory utilization of the database server is 50.42% when the number of concurrent users is 100, and the average response time of the system reaches a maximum of 825.63ms when the number of concurrent users is 200. Based on big data, the whole process of financial reporting digital management system has good stability, which can make enterprises more aware of their financial situation and then develop appropriate financial reimbursement strategies.
Deep neural network based acoustic pattern recognition system for fault localization application
Authors: Cui Yao , Huang Xin , Zhang Xin
Published: December 2023

This paper explores the process of traditional voiceprint recognition, analyzes the traditional GMM recognition algorithm, and proposes a GE2E-based voiceprint recognition algorithm by combining it with the deep neural network. It firstly uses the Bi-GRU network to replace the LSTM network to prevent the lack of semantic information, then adds the SGD algorithm to optimize the speech features, and finally improves the stability and accuracy of recognition by the GE2E loss function. On this basis, a voiceprint recognition system based on GE2E is designed, and the overall performance of the system is tested. Additionally, a voiceprint recognition system is being explored for fault localization. The results show that the recognition accuracy of male voiceprints in the test is at [0.89,0.95], and the recognition accuracy of female voiceprints is at [0.88,0.96], and there is not much difference in the voiceprint recognition accuracy of the voiceprint recognition system for both male and female students, and the overall recognition accuracy is greater than 0.9. When applied in fault location, the error between the measured distance and the actual fault distance is within 0.1 meters, enabling fault location.
Modeling Method of Multiplexed Sampling Electrical Parameter Characteristics Based on AIOT Sensing Module
Authors: Li Congcong , Jing Zhen , Zhu Hongxia , Zhang Zhi , Wang Qing , Zhao Xi
Published: December 2023

In order to further reduce the errors arising in synchronous sampling, this paper designs a multi-channel hybrid sampling electrical parametric feature modeling method based on an AIOT sensing module in the process of design. The AIOT sensing module is used to process the received RF signals using a transconductance amplifier to improve the digitization and reconfigurability of the RF front-end circuit. The signal is transformed and calculated using the Fast Fourier Transform to obtain electrical parameters such as the amplitude of each harmonic and the power factor. The results show that the variation amplitude of the window function of the design method in this paper is generally maintained between -1.5 and 1.5, the amplitude accuracy of the active power rate is within 3.17555%, and the relative error accuracy is within 0.000951%. It can be seen that the AIOT-based sensing module can significantly improve the calculation accuracy of electrical parameters and can be applied to the process of sampling digital measurements of other power signal characteristics.
Deep learning-based visual navigation control method for autonomous trajectory of UAVs
Authors: Lv Jing , Tu Lianghui
Published: December 2023

In this paper, a UAV intelligent visual navigation system is designed based on deep learning. To convert the pixel gray values, a Gaussian smoothing function is employed, which ensures that the main features of the visual image are preserved. A convolutional neural network is employed to mark the target with a frame using image pixels and obtain the coordinate position of the center point. Finally, the initial particles generated near the beacon are analyzed by particle filtering with color histograms, which are used to predict the position of the UAV at each autonomous trajectory point location. The control method proposed in this paper can keep the UAV attitude angle control error within 15%, and the minimum velocity error is 0.07%, as shown in the results. A deep learning-based visual navigation control system can guarantee that the UAV can accurately recognize the target in every autonomous trajectory.
Non-convex perturbation to evolution problems involving Moreau’s sweeping process
Authors: Boudjerida Nouha , Affane Doria , Yarou Mustapha Fateh
Published: December 2023

Along this paper, we study an evolution inclusion governed by the so-called sweeping process. The right side of the inclusion contains a set-valued perturbation, supposed to be the external forces exercised on the system. We prove existence and relaxation results under weak assumptions on the perturbation by taking a truncated Lipschitz condition. These perturbations have non-convex and unbounded values without any compactness condition; we just assume a linear growth assumption on the element of minimal norm. The approach is based on the construction of approximate solutions. The relaxation is obtained by proving the density of the solution set of the original problem in a closure of the solution set of the relaxed one.
Convex Least Angle Regression Based LASSO Feature Selection and Swish Activation Function Model for Startup Survival Rate
Authors: Allu Ramakrishna , Padmanabhuni Venkata Nageswara Rao
Published: December 2023

A startup is a recently established business venture led by entrepreneurs, to create and offer new products or services. The discovery of promising startups is a challenging task for creditors, policymakers, and investors. Therefore, the startup survival rate prediction is required to be developed for the success/failure of startup companies. In this paper, the feature selection using the Convex Least Angle Regression Least Absolute Shrinkage and Selection Operator (CLAR-LASSO) is proposed to improve the classification of startup survival rate prediction. The Swish Activation Function based Long Short-Term Memory (SAFLSTM) is developed for classifying the survival rate of startups. Further, the Local Interpretable Model-agnostic Explanations (LIME) model interprets the predicted classification to the user. Existing research such as Hyper Parameter Tuning (HPT)-Logistic regression, HPT-Support Vector Machine (SVM), HPT-XGBoost, and SAFLSTM are used to compare the CLAR-LASSO. The accuracy of the CLAR-LASSO is 95.67% which is high when compared to the HPT-Logistic regression, HPT-SVM, HPT-XGBoost, and SAFLSTM.
A Comprehensive Approach for Monitoring Student Satisfaction in Blended Learning Courses
Authors: Gaftandzhieva Silvia N. , Doneva Rositsa Zh. , Bliznakov Milen P.
Published: December 2023

Due to the great importance of student satisfaction with educational services, many HEIs conduct annual surveys. Analyzing the results of such surveys, tracking trends, and comparing the evaluation results to help governing bodies make data-driven decisions to take measures to improve the quality of courses is time-consuming and requires a lot of manual work. As a solution to the problem, this paper proposes a comprehensive approach to monitoring student satisfaction with the quality of blended learning courses. The developed software tool analyzes results and enables users with different roles to generate reports with aggregated results at different levels, allowing them to make informed decisions and take measures to ensure a higher quality of courses. The generated reports during the pilot experiments proved the tool’s applicability. This tool can be implemented in any HEI, regardless of the software systems used.