bluuebunny/crossref_metadata_2025 huggingface dataset:
PENERAPAN ALGORITMA K-MEANS CLUSTERING UNTUK MENDETEKSI PENYEBARAN PENYAKIT TBC (STUDI KASUS: DI KABUPATEN DELI SERDANG)
Authors: Fauzi Muhammad , Yudi
Published: February 2024

Tuberculosis (TBC) merupakan penyakit menular yang masih menjadi perhatian dunia. Hingga saat ini, belum ada satu negara pun yang bebas TBC. Angka kematian dan kesakitan akibat kuman mycobacterium tuberculosis ini pun tinggi. Tingkat prevalensi penderita TBC di Indonesia diperkirakan sebesar 289 per 100 ribu penduduk dan insidensi sebesar 189 per 100 ribu penduduk. Bahkan 27 dari 1.000 penduduk terancam meninggal seperti yang dilaporkan Direktorat Jendral Pengendalian Penyakit dan Penyehatan Lingkungan, Kementrian Kesehatan Republik Indonesia yang dihimpun sepanjang 2011 mengenai tuberkulosis (TBC) di Indonesia. Pengelompokkan wilayah penyebaran TBC penulis menggunakan algoritma KMeansClustering, algoritma K-MeansClustering mampu mengelompokkan data pada kelompok yang sama dan data yang berbeda pada kelempok yang berbeda. Sehingga akan terlihat titiktitik lokasi penyebaran penyakit diare. Algoritma K-Means Clustering selain mampu mengelompokkan data pada kelompok yang sama dan data yang berbeda pada kelompok berbeda, juga mampu menentukan titik pusat penyebaran. Diharapkan hasil penelitian ini mampu memberikan kontribusi dalam mengatasi penyebaran diare, dengan melihat pusat penyebaran maka akan membantu memfokuskan penanganan diare pada wilayah tersebut
SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT DISENTRI DENGAN MENGGUNAKAN METODE HYBRID CASE BASED
Authors: Tarigan Pilipus
Published: February 2024

Disentri adalah salah satu jenis penyakit diare akut yang disertai dengan tinja cair yang bercampur dengan darah dan lendir di karenakan bakteri penyebab disentri telah menembus dinding kolon sehingga tinja yang melewati usus besar akan berjalan sangat cepat tanpa di ikuti proses absorbsi air. Proses penalaran sistem berdasarkan aturan dan pengetahuan yang dimiliki seorang pakar dikenal dengan penalaran berbasis aturan/RBR (rule base reasoning). Sistem Case Based Reasoning (CBR)  memiliki kelebihan dan kekurangan masing-masing. Namun kedua sistem tersebut sangat mungkin digabungkan (hybrid) untuk mendapatkan sebuah sistem yang lebih baik. Ide dasar CBR adalah setiap masalah yang sama dimungkinkan untuk  mempunyai solusi yang sama pula. Pengetahuan yang dimiliki CBR  direpresentasikan dalam bentuk kasus dimana setiap kasus berisi dua slot, yaitu slot masalah dan slot solusi. Baik sistem RBR maupun sistem CBR memiliki kelebihan dan kekurangan masing-masing.
SISTEM PAKAR DIAGNOSA AWAL GANGGUAN ATTENTION DEFICIT HYPERACTIVITY DISORDER PADA ANAK DENGAN METODE CERTAINTY FACTOR
Authors: Yusfrizal Yusfrizal , Ramadhan Muhammad Hari
Published: February 2024

Kurangnya pengetahuan publik tentang perilaku abnormal berakibat perilaku-perilaku abnormal yang ada dan tampak sering dipahami secara keliru, bahkan tidak jarang penyandang perilaku abnormal diperlakukan secara tidak manusiawi. Bukan hanya pada orang dewasa, perilaku abnormal juga dapat dialami oleh anak-anak. Salah satu bentuk perilaku abnormal tersebut adalah Attention  Deficit  Hyperactivity  Disorder atau gangguan pemusatan perhatian pada anak. Tujuan dari penelitian ini adalah membuat suatu aplikasi sistem pakar yang berjalan pada sistem operasi windows yang dapat mendiagnosa gangguan Attention  Deficit  Hyperactivity  Disorder dengan memberi hasil diagnosa berdasarkan tingkat keyakinan terhadap gejala-gejala yang diderita pasien dengan metode Certainty Factor. Penerapan metode Certainty Factor dapat memperkuat diagnosis yang dihasilkan karena sistem mempunyai nilai sehingga tingkat kepastian atau tingkat keyakinan lebih akurat. Dari sistem yang dirancang dan hasil pengujian secara manual diperoleh nilai keakuratan sebesar 0,9676 atau bila dipersentasikan nilainya menjadi 96,76% untuk gejala Combine (Inatentif, Hiperactif / Implusif dan Implusif ).
IMPLEMENTASI ALGORITMA MODIFIKASI TRANSPOSISI COLUMNAR DALAM MENGAMAKAN DATA TEKS
Authors: Anggriani Ika
Published: February 2024

Masalah keamanan merupakan aspek paling penting dalam dunia teknologi informasi, misalnya : keamanan dokumen. Masalah keamanan dan kerahasiaan dokumen merupakan hal yang sangat penting dalam suatu pekerjaan, organisasi maupun pribadi.Hal ini mengakibatkan peerlunya suatu sistem pengamanan data dalam sebuah dokumen  digital sehingga menjamin keamanan dari dokumen digital tersebut, baik dalam bentuk teks, gambar, suara maupun video. Oleh karena itu dibutuhkan suatu sistem yang dapat membantu dalam menjaga keamanan maupun kerahasian suatu data. Kriptografi merupakan salah satu metode pengamanan data yang dapat digunakan untuk menjaga keamanan maupun kerahasiaan dari suatu data. Dari permasalahan ini penulis akan merancang proses cara pengaman data teks menggunakan modifikasi  transposisi columnar dan proses enkripsi dan dekripsi algoritma modifikasi transposisi columnar, sehingga orang ya ng tidak berhak tidak dapat membaca informasi ataupun  melihat isi dari dokumen yang ada didalamnya. Dengan menggunakan modifikasi tranposisi columnar kita dapat mengunci data atau dokumen ya ng bersifatsi rahasia dengan proses penyandian yaitu enkripsi dan dekripsi. Transposisi columnar merupakan teknik kriptografi asimetri yang menggunakan dua buah kunci berbeda dalam proses enkripsi dan dekripsi. Kedua kunci tersebut dikenal dengan private key, yang digunakan untuk enkripsi data dan public key, yang digunakan untuk dekripsi data.dan pada laporan ini diuraikan teknik dasar modifikasi tranposisi columnar dapat diimplementasikan menggunakan aplikasi bahasa pemrograman visual basic 2008.
PERANCANGAN APLIKASI KEAMANAN PESAN TEKS DENGAN MENGGUNAKAN ALGORITMA TRIPLE DES
Authors: Siregar Nurmarlina
Published: February 2024

Triple DES (Triple Data Encryption Standard) is one of the symmetrical algorithms on cryptography that is used to secure data in the form of text messages by encoding text messages. The process carried out in encoding the data, namely the encryption process and the decryption process. The triple DES algorithm is an algorithm for the development of the DES (Data Encryption Standard) algorithm. The difference between DES and triple DES lies in the length of the key used. In DES it uses one key that is 56-bit long, while triple DES uses three keys that are 168-bits in length (each of which is 56 bits long).

In triple DES, the three keys used can be mutually independent (K1, K2 and K3) or only two keys are mutually independent and one other key is the same as the first key (K1, K2 and K3 = K1). Because the level of confidentiality of the DES algorithm lies in the length of the key used, the use of the triple DES algorithm is considered safer than the DES algorithm. To facilitate the use of the triple DES algorithm, a triple DES algorithm program was created with computer software tools, namely Microsoft Visual Studio 2008 which can encrypt and decrypt text messages.
PEMODELAN DIAGRAM UML SISTEM PEMBAYARAN TUNAI PADA TRANSAKSI E-COMMERCE
Authors: Syarif Muhamad , Nugraha Wahyu
Published: February 2024

The use of technology in the business world can help make work easier. Technology makes data stored more standardized and processing data into information faster. Sales transactions and payment transactions are business activities that need attention, both of these transactions need to be monitored so that business processes can run well and as desired. This research designs sales and payment information systems, payment transactions can be made in cash on e-commerce sales systems. The system is designed using UML diagram modeling to illustrate the needs and what content can be done by the system. Payment system modeling is expected to be a tool that can help transaction processing become more standardized and produce reports quickly.
PENGELOMPOKAN DATA PASIEN TEST URINE DENGAN METODE CLUSTERING PADA KANTOR BADAN NARKOTIKA NASIONAL
Authors: GINTING WASIT
Published: February 2024

Data Mining is a data processing technique by digging various information from a set of stored data. Urine test is a means to determine whether or not a patient is related to narcotic abuse. The National Narcotics Agency (BNN) is an Indonesian non-ministerial government agency (LPNK) that has duties in the fields of prevention, eradication of abuse and illicit trafficking, psychotropic substances, precursors, and other addictive substances except for tobacco and alcohol addicts. The writing of this report uses the clustering method which is one of the data mining techniques for grouping data on the Urine Test Patient at the BNN. By using the k-means algorithm clustering method. By applying 20 alternative data for urine test patients and giving the number of clusters as many as 3, and utilizing the 3 main criteria as research in this report, the number of cluster 1 is 5 data, cluster 2 is 9 data. And cluster 3 of 6 data. This urine test patient data grouping system is designed with the MATLAB application programming language.
Implementasi Pemilihan Media Pembelajaran Digital Meeting Dengan AHP Pada Universitas Islam Al-Ihya Kuningan (UNISA)
Authors: Nuraisyah Aneu Ainy , Bahtiar Arie Purnama , Ikhsan Maulana , Palasara Nicodias
Published: February 2024

Dengan adanya pandemi virus yang sedang terjadi, pemerintah memutuskan untuk mengambil kebijakan dalam meminimalisir penyebaran virus tersebut. Salah satunya adalah himbauan kepada semua perguruan tinggi untuk melakukan proses perkuliahan secara daring. Untuk keberlangsungan perkuliahan secara daring, diperlukannya media yang dapat mendukung hal tersebut yaitu dengan menggunakan media pembelajaran digital meeting, diantaranya adalah Zoom Meeting, Google Meet, Zoho Meeting, Skype, dan Hangout Meeting. Dengan banyaknya aplikasi digital meeting tersebut menjadi suatu permasalahan dalam menentukan media digital meeting manakah yang lebih efektif untuk mendukung perkuliahan secara daring. Berdasarkan hal tersebut penelitian yang dilakukan bertujuan untuk membantu mahasiswa dan dosen dalam menentukan pilihan aplikasi digital meeting yang sesuai. Metode Analytical Hierarchy Process (AHP) adalah salah satu metode yang dapat digunakan dalam menentukan pengambilan keputusan dengan menentukan tujuan, kriteria, dan alternatif yang disederhanakan ke dalam bentuk hirarki. Kriteria yang digunakan adalah Fitur Aplikasi, Bandwidth, Harga Berlangganan, Jumlah Partisipan, dan Kemudahan Pengguna. Hasil dari penelitian berdasarkan perhitungan yang telah dilakukan menunjukan bahwa aplikasi Zoom Meeting memiliki angka persentasi tertinggi yaitu 47%, kemudian Google Meet dengan angka persentasi sebesar 26%, lalu aplikasi Hangout Meeting dengan angka persentasi sebesar 10%, kemudian aplikasi Zoho Meeting dengan angka persentasi sebesar 9%, dan yang terakhir adalah aplikasi Skype dengan angka persentasi sebesar 9%.
ANALISIS SENTIMEN REVIEW APLIKASI PEDULILINDUNGI PADA GOOGLE PLAY STORE MENGGUNAKAN NBC
Authors: Locarso George Kenneth
Published: February 2024

Sentimen dari masyarakat merupakan faktor yang penting dalam pemerintah melakukan suatu kebijakan. Dengan memperhatikan feedback dari masyarakat pemerintah dapat mengetahui apa saja yang dapat diubah atau ditingkatkan dan apa yang sudah dicapai. Penelitian ini bertujuan membangun sistem yang dapat melakukan analisis sentimen, sehingga ulasan dari masyarakat dapat lebih mudah disaring oleh pihak yang berkepentingan. Analisis sentiment akan diimplementasikan menggunakan algoritma naïve bayes classifier. Dengan menggunakan 1179, data training dan data testing dibagi dengan perbandingan 70:30. Dari hasil klasifikasi pada data testing, didapatkan akurasi sebesar 83.3%.
Restoration of the Polish Constitutional Tribunal as Reading the Constitution Forward
Authors: Zajadło Jerzy , Koncewicz Tomasz Tadeusz
Published: February 2024

The question of how to restore the fallen and degenerated body that once was the Polish Constitutional Tribunal is finally to make its way to the Parliament this week. The stakes are clear: If we get lost in legalese and accept half-baked solutions, it will taint all ambitions and legislative projects aimed at restoring the rule of law in Poland. To avoid this mistake, the “fake court” should be “zeroed out” and newly appointed.
The frequency and psychological effects of name mispronunciation in an independent school
Authors: Gordon Divya , Adams Emily
Published: February 2024

Names are a critical part of human identity. In our study, we wanted to observe the occurrence and psychological impact of microaggressions and name mispronunciation on high school student psychological well-being. Limited research in the area of microaggressions has demonstrated racial associations with name mispronunciation, and negative psychological effects of microaggressions in medical school and university level environments. We hypothesized that a minority of students would be unfamiliar with the term microaggression and more than 50% of students would have experienced a microaggression since the beginning of their first year of high school. We also hypothesized that non-white students would be more likely to experience racial and ethnic microaggressions, including having their names mispronounced. To test our hypothesis, we employed an electronic survey to assess the knowledge of microaggressions, frequency of microaggressions and name mispronunciation, and emotional response to microaggressions and name mispronunciation in high school students and faculty. Our results showed that non-white students were 2.55 times more likely to experience racial or ethnic microaggressions compared to white students. Students experiencing microaggressions most commonly reported feelings of exhaustion, embarrassment, and loss of sense of belonging. Future research with a larger sample size and greater representation among racial groups would be beneficial and would likely yield more statistically significant results. Our study can guide educational components for community members to increase awareness of the negative psychological effects of microaggressions and name mispronunciation.
Analysis The Effect Of Magnet Structure On The Unbalance Magnetic Pull Of Fractional Slot Number Type In Permanent Magnet Machine
Authors:   Dept. of electrical engineering, Atma Jaya Catholic University, Jakarta, 12930, Indonesia, Nur Tajuddin , G. Irianto Chairul ,   Dept. of Electrical Engineering, Trisakti University, Abduh Syamsir ,   Dept. of Electrical Engineering, Trisakti University, Herlina  ,   Dept. of Electrical Engineering, Sriwijaya University, Inderalaya, South Sumatera, 30862, Indonesia, Irasari Pudji ,   Research Center for Energy Conversion and Conservation, National Research and Innovation Agency, 40135, Indonesia, Muljadi Eduard ,   Dept. Electrical and Computer Engineering, Auburn University, 36849, USA
Published: February 2024

Within this study, the effect of magnet structure on the unbalanced magnetic draw (UMP) of fractional slot number permanent magnet machines (PMMs) was methodically investigated. The literature revealed that fractional slot number PMMs use a variety of magnet structure configurations, including radial, parallel, and hybrid arrangements. Different magnet configurations were discovered to affect the distribution of magnetic flux density, thereby impacting UMP concentrations. The effect of various magnet geometries, including arc, rectangular, and trapezoidal, on UMP was examined. Moreover, the selection of magnet materials, such as ferrite, neodymium-iron-boron, and samarium-cobalt, influenced the magnetic field distribution and UMP characteristics. Due to their particular slot and pole combinations, fractional slot number PMMs were found to be more susceptible to UMP than other PMM varieties. Unbalanced forces caused by UMP resulted in unwanted vibrations, increased noise levels, and possible machine durability issues. Numerous factors influence UMP in fractional slot number PMMs, including the number of slots and poles, the length of the stator-rotor air gap, the magnet pole breadth, and the magnet thickness. The level of UMP was affected by the interaction of these factors with magnet structure configurations.
Characterization Of Resonant Coupled Inductor In A Wireless Power Transfer System
Authors:   Faculty, Department of Electrical Engineering, Nueva Vizcaya State University, Bambang, Nueva Vizcaya, 3702 Philippines, Nebrida Alan P.
Published: February 2024

Wireless power transfer (WPT) has garnered significant interest as a potentially transformative technology in the energy sector, as it presents a novel approach to powering and charging devices. The functionality of this technology is predicated upon the utilization of electromagnetic coupling to facilitate the wireless transmission of energy between two entities. Despite the considerable potential, wireless power transfer (WPT) faces significant obstacles that restrict its practical feasibility. One notable challenge that arises is the decrease in power transfer efficiency as the distance between the transmitter and receiver increases. Moreover, the Wireless Power Transfer (WPT) technology is further limited by its reliance on accurate alignment between the transmitting source and the receiving device, thereby posing challenges for its practical implementation. The issues present substantial obstacles to the widespread commercialization of wireless power transfer (WPT). This study seeks to improve the efficacy of power transfer by optimizing the resonance frequency of the power transfer in response to the challenges. By systematically manipulating various parameters, including coil dimensions, input voltage levels, and operational frequency, a novel approach is proposed to enhance the efficiency of power transfer. The study additionally offers valuable insights regarding the correlation between the distance separating the coils and the efficiency of power transfer. The findings of this study offer a thorough empirical analysis and are supported by a strong theoretical framework, resulting in a substantial coefficient of determination (R² = 0.937118). This finding suggests that the linear regression model under consideration could account for approximately 93.7118 percent of the variability observed in the distance. The findings of this study establish a pathway towards enhanced and feasible wireless power technology, thereby establishing a robust basis for the prospective commercial implementation of wireless power transfer (WPT) systems.
The Life Cycle And Dividend Premium Toward Dividend-Paying Behavior In Manufacturing Sector Companies
Authors:   Faculty of Economics and Business doctoral program students at Airlangga University, Indonesia Hayam Wuruk Perbanas University, Surabaya, Indonesia, Silvy Mellyza , Narsa I Made ,   Faculty of Economics and Business Airlangga University, Indonesia, Windijarto  ,   Faculty of Economics and Business Airlangga University, Indonesia, Pujiantoro Priest ,   Faculty of Economics and Business Hayam Wuruk Perbanas University, Surabaya, Indonesia
Published: February 2024

This study aims to determine the independent variables that are able to predict dividend payment behavior and prove the occurrence of dividend catering theory in manufacturing companies that are in the growth phase. In determining the research sample, the researcher used purposive sampling. The number of samples in this study were 7 manufacturing companies with a total of 92 observations during 2015 – 2019. This study uses multinomial logistic regression analysis on SPSS 25. The results show that the dividend premium and profitability variables get positive and significant values in the high dividend payout model. as well as low dividend payout models. While the firm size variable gets a positive and significant value in the high dividend payout model, it does not get a significant value in the low dividend payout model. This means that in the high dividend payout model, the variables of premium dividends, profitability, and firm size are able to predict the behavior of dividend payments in manufacturing companies that are in the growth phase. However, in the low dividend payout model, only the dividend premium and profitability variables are able to predict the behavior of dividend payments in manufacturing companies that are in the growth phase. The results also prove that the dividend catering theory is proven to occur in manufacturing companies that are in the growth phase of 2015 – 2019.
Ecological Literary Heritage: Lessons from Classics for the Environmental Movement
Authors: Sun Xinmiao
Published: February 2024

This paper explores the enlightenment significance of classic ecological literature works to the environmental protection movement. Through literature research and case analysis, three representative ecological literary works, “Silent Spring,” “Dune,” and “Call of the Wild,” were selected for in-depth analysis. The study found that these classic works express profound environmental protection values, reflect environmental problems such as chemical pollution, resource depletion, and wildlife protection, and reflect care for the ecosystem. Among them, “Silent Spring” reveals the harm of pesticides to the biological chain, “Dune” explores the relationship between resource exploitation and ecological protection, and “Call of the Wild” depicts the harmonious coexistence between man and nature. The environmental awareness shown in these works has important enlightenment for the contemporary environmental movement, arousing the public’s environmental awareness and providing reference for environmental protection actions and strategy formulation. The study believes that ecological literature contains rich environmental protection value, is the source of ideas for the environmental protection movement, and has a lasting impact on promoting the environmental protection process.
Manipulation of BDNF causes the overshoot-and-decline effect in DG after the recovery from sleep deprivation
Authors: Sun Zhengyi
Published: February 2024

This paper investigates the relationship between the neurogenesis of the dentate gyrus (DG) under sleep deprivation and brain-derived neurotrophic factors (BDNF). The study focuses on DG because it is a critical part of memory formation and is easily affected by neurodegeneration. The paper proposes that BDNF will affect controlling the overshoot and its decline in the period of sleep deprivation and recovery. This study contains two experiments to test this hypothesis. In experiment one, TrkB inhibitors are used to manipulate the amount of BDNF to test its function. In experiment two, Erk5/TrkB inhibitors are used during recovery to test what Bcl2 does to the overshoot. In the future, this finding could potentially be part of the method used to treat neurodegeneration diseases like Alzheimer’s.
The Impacts of Climate Change on Biodiversity in the African Savanna
Authors: Xu Yixin
Published: February 2024

For a long time, the African savannah has been famous for its extremely rich biodiversity. However, the changed global climate is threatening this special and precious ecosystem and is predicted to cause a huge blow to plants and animals in this region. Recent research shows that the rising temperature, the changing pattern of extreme rainfall events, and woody encroachment have impacted the completeness and continuity of the food web in the African savannah--the decreasing of some plants causes the food shortage of some herbivores. Decreasing herbivores would further lead to the difficulty of hunting many carnivores. Thus, the change in global warming would impact the biodiversity of species in the African savannah by affecting the food web in this region. Although existing research has achieved certain results in the field of the impacts of climate change on the African savannah, there are still huge gaps worthy of continued research. This paper discusses the impacts of climate change on the biodiversity and functions of the ecosystem in the African savannah region by analyzing the impacts of climate change on specific animals (Elephants, Small mammals, and Ants). This discussion emphasizes the importance of making strategies to reduce climate change’s impacts and protect the African savannah’s biodiversity. It provides the generality of current impacts of climate change in the African savannah for further research in this field.
The Psychological Impact of Social Media on Gen Z
Authors: Hu Shangda
Published: February 2024

In the era of rapid development of science and technology, the popularity of social media and online communities has shaped the experiences and perspectives of Generation Z (Gen Z) - those born between the mid-90s and early 2010s. In recent years, more and more individuals and media have begun to pay attention to the impact of social media on people. This paper, which takes Generation Z as the research object article, will focus on the psychological impact of social media on Gen Z.  Generation Z, unlike any previous generation, has a unique growing environment --- a digital environment. Starting from this perspective, the paper will analyze why human beings are faced with unprecedentedly complex psychological problems according to existing literature, with the purpose of in-depth research on the psychological impact of social media and online communities on Generation Z. this paper concludes that social media will greatly affect people’s psychological state, which has good and bad effects on current people. While social media platforms offer avenues for connection and self-expression, they also present various new challenges. Promoting the mental health of young people in a digital environment is crucial by balancing the positive aspects of social media with being aware of its potential negative effects.
Advanced Machine Learning Techniques in Gomoku: Strategy,Implementation, and Analysis
Authors: Han Jiajun
Published: February 2024

The strategic board game Gomoku has become a compelling domain for artificial intelligence (AI) research, particularly in developing and applying machine learning techniques. This paper comprehensively analyzes advanced machine learning strategies in Gomoku, focusing on logistic regression for board evaluation, neural networks for pattern recognition, and reinforcement learning for strategic gameplay. We discuss integrating these techniques in creating a sophisticated AI capable of high-level play and adaptability. Through this exploration, we highlight the potential of AI in strategic decision-making and its broader applications beyond board games.
How the e-commerce environment affects the economic development of traditional enterprises: Taking business innovation as an example
Authors: Zhu Yuxuan
Published: February 2024

With the proliferation of e-commerce, traditional enterprises have increasingly resorted to it for more business opportunities and market share. However, this environment has presented some challenges and confusion to these enterprises. The present study aims to investigate the impact of the e-commerce environment on the economic development of traditional enterprises. The study highlights the advantages and disadvantages of this novel environment. The study employs empirical research methods, including a series of case analyses and data research, to demonstrate how the e-commerce environment affects the economic development of traditional enterprises. The findings reveal that e-commerce can help traditional enterprises broaden their market, improve their brand influence, achieve diversification, and better adapt to changes in market demand. Nevertheless, these enterprises face challenges in mastering e-commerce technology and channels, brand positioning, and image adjustment during the transformation process. The study’s conclusion is of significant reference value for traditional enterprises seeking economic development in the e-commerce environment.
A study on the correlation between the English score of collegeentrance Examination and the score of the first CET-4
Authors: Xu Zixuan
Published: February 2024

English is the most widely used language in the world. Nowadays, the world is showing a trend of globalization. As a bridge connecting us with the world, the importance of English is self-evident. The study of high school is to let us master the ability to use English communication and to strengthen our ability to use English further when we enter the university. The college entrance examination is a standard reference examination for high school students in China after completing the basic learning stage. Its purpose is to comprehensively check whether the students who have completed the high school courses have met the requirements stipulated in the syllabus. After years of practice, it has become one of the most authoritative examinations in China. [1] In recent years, many colleges and universities have paid great attention to the CET-4 test, and most have linked the CET-4 test with a bachelor’s degree. Students cannot get the CET-4 certificate in universities, and the schools will not award bachelor’s degrees to the students. China’s College entrance examination and CET-4, as two of the most objective level examinations in China, have strong reliability and validity in the field of English learning and have a certain continuity over the years, which can objectively and honestly reflect the English learning level of students from high school to college. [2] The English score of the college entrance examination can also reflect the English level of first-year college students when they first enter school. While CET-4 represents a student’s English level at the university level.
Behind the Dispute Between Influencers and MCN Company-----is the Game between Content and Capital
Authors: Pan Jiahui
Published: February 2024

This study adopted a case study approach to understand the cooperative relationship in the media profit model by analyzing, summarizing, and discussing the case of the top influencer Liziqi’s rights protection incident.  The public had numerous questions and guesses about this incident, which leads to differing views expressed online.  The influencer economy, an emerging form of economy, can be profitable through a variety of channels, including live streaming, brand e-commerce, advertising, and more. Although the influencer economy may evolve with the advancement of technology, the society is still discussing its sustainability and commercialization. Additionally, more supervision is need from government department in this area.  Liziqi’s rights protection incident includes the cooperation, dispute, and settlement between Liziqi and Hangzhou Weinian Co. Ltd., By exploring the relationship between influencers and MCN influencer incubators, as well as the game between content creators and capital, the discussion in this article guides the practitioners in this field had warning and enlightening significance for most practitioners in this field. This work obtained information from CNKI, Aiqicha APP, and Baidu Baike, etc.
In-Depth Analysis of Spotted Lanternfly Intrusion Patterns
Authors: Chen Sze Shuen
Published: February 2024

The Spotted Lanternfly (SLF), Lycorma delicatula, is an invasive pest that originates from Asia and poses a significant threat to agricultural and forest ecosystems in regions where it has been introduced. Its ability to feed on a wide range of host plants allows for rapid population growth and spread, making it a growing concern for ecologists and agriculturalists. Current research efforts are focused on understanding the invasion dynamics of SLF, utilizing spatial analysis and population modeling to predict its spread. Extensive field surveys and citizen science data are being leveraged to map the current distribution and identify factors contributing to its expansion. Analytical models are being refined to include climatic, geographical, and human-mediated factors to enhance the accuracy of predictions. The impact of human trade and travel as vectors for SLF dissemination is assessed, highlighting critical control points for intervention. A cost-benefit analysis of various management strategies offers a pragmatic perspective on resource allocation for containment and eradication. Moreover, the paper explores the ecological repercussions of SLF establishment, including the disruption of native species interactions and the cascading effects on biodiversity. This research aims to provide a robust framework for predicting and managing the spread of SLF, informing policy decisions and resource management. Looking forward, this research paves the way for adaptive management approaches tailored to the changing dynamics of invasive species threats in the context of global environmental change.
Exploration of Planning and Design Strategies for Residential Historical Communities based on Protecting Cultural Stability
Authors: Zhang Jiaxu
Published: February 2024

In urban design and urban renewal, preserving communities and rural heritage that are not included in the protection list has always been controversial. The main difficulties they face are often investment restrictions and low returns. However, perhaps considering it solely based on economic factors may not be rigorous enough; heritage is crucial to the inheritance of community spirit and cultural sensitivity of the community. This article will explore the important value of community heritage and rural heritage that have not been included in the protection list for residents and take Xuanyuandian Community in Changsha City, Hunan Province, and Yanxia Village in Zhejiang Province as examples to discuss the use of urban heritage in the process of urban renewal and design. Planning and design strategies for residential historic communities with the main purpose of protecting community cultural stability.
Research and analysis of airline supply chain risk management-- Take Boeing Company as an example
Authors: Jing Ying
Published: February 2024

In today’s business environment, supply chain risk management is becoming more and more important for the strategic position of airlines. As a highly complex organizational structure, the airline supply chain faces multiple challenges and potential risks that may negatively impact its operational efficiency, customer satisfaction and profitability. Therefore, a deep understanding of the key elements and practical experience of an airline’s supply chain risk management is essential to enhance its competitiveness. This paper aims to comprehensively explore the overview and core elements of airline supply chain risk management. Firstly, it clearly defines and introduces the characteristics of supply chain risk, as well as the main risk types faced by airline supply chain. Then, it delves into the key elements of airline supply chain risk management, including supply chain visibility and information sharing, supplier selection and evaluation, and inventory management and logistics planning. Then, a series of successful experiences of airline supply chain risk management are introduced, and methods of using advanced technologies and tools to mitigate supply chain risk are discussed.
Analysis of the Reasons for the Formation of Network Group Polarization and its Implications
Authors: Gong Jiayu
Published: February 2024

With the development of the Internet, the phenomenon of network group polarization has become more and more serious. This paper looks at how network group Polarization has developed from the original concept of group polarization after the Internet was created and popularized. The reasons for the emergence of online groups are categorized as (1) The Internet provides a wealth of information that people can selectively receive, and algorithmic mechanisms on the web push information based on user data. (2) people can communicate virtually on the Internet, (3) the influence of the media and public figures, (4) the platform’s vetting mechanism of the information, and (5) the accumulation of social contradictions for which the Internet provides a platform for catharsis. At the same time, group polarization may exacerbate the antagonism of different groups in society, but it will also help minorities find a sense of identity and increase cultural inclusiveness.
Empirical analysis of optimized portfolio allocation based onMarkowitz and index models
Authors: Dai Linqiu
Published: February 2024

There is a need to achieve a balance between asset returns and risks. This has remained a central focus of financial market research. It has served as a crucial reference for investment decision-making. There has been a weakness as this financial investment theory relies on qualitative analysis. This method has lacked robust quantitative methods. The resurgence and expansion of Western economies have led to a flourishing financial investment activities. This has prompted the emergence of the Modern Portfolio Theory (MPT). The theory was pioneered by Harry Markowitz in 1952. MPT has rapidly evolved over the period. It has attracted numerous scholars and yielded substantial research outcomes (Markowitz, 1991).
Interpretation of Duras’s Lovers from the Perspective of Feminism
Authors: Wang Zhiyi
Published: February 2024

Since the 1960s and 1970s, feminism ushered in the second wave of upsurge, with the birth of female literature, which changed the nature of women’s social marginalization. This topic takes Duras’ Lover as a case study, based on literature analysis and interdisciplinary analysis, and with the “feminist perspective” as the entry point, explores the female narrative through the study of female subjects and the expression of female consciousness. From the “female consciousness” analysis of the Lover, based on the traditional female state of comparison, through the comparison of roles, emphasis on the development of feminism. It mainly focuses on the relationship between women and women in feminism, and analyzes the “imitation consciousness” in women, that is, women have male consciousness.
The Impacts of Arctic Climate Change on Polar Bear Biodiversity and Associated Analysis
Authors: Wang Jiayu
Published: February 2024

The Arctic is undergoing rapid weather changes, posing a grave threat to the iconic animal that inhabits the region - the polar bear. This paper reviews the tremendous impacts of climate change on the ecological diversity of polar bears, examining in detail the changes to their distribution, habitat use, food supply, and population numbers. The current understanding of their environmental evolution and adaptability remains insufficient. This conference underscores that studying polar bears benefits the whole world, as they are a fascinating megafauna and a defining symbol of the Arctic. The report consolidates obvious survey findings, articulates the urgent need to study environmental conservation issues further, and proposes initiatives going forward. In summary, this story ties the conservation of polar bears to maintaining the fragile balance in the Arctic, as climate change brings growing disturbances to ecosystems globally. Further investigating these interlinked relationships and taking targeted conservation measures will aid efforts to preserve this vibrant yet fragile polar region.
Corporate financial investment’s effects on corporate innovation
Authors: Yao Yuan
Published: February 2024

This study develops an analytical model on the impact of corporate financialization and corporate R&D expenditure based on the micro perspective of firms, and uses data from A-share listed companies to test and assess the fixed-effect model and IV-GMM test, respectively. The findings indicate that business financialization has a considerable negative impact on company R&D investment, and that as corporate financialization levels rise, corporate.
An Overview of the Application of Convolutional Neural Networks inSentiment Analysis
Authors: Wang Hao
Published: February 2024

The field of natural language processing, or NLP, uses its understanding of human language to find practical solutions to issues. It mainly includes two parts: the core task and the application. The core task represents the common problem that needs to be solved in various natural language application directions. It includes language models, morphology, grammar analysis, semantic analysis, etc. At the same time, the application section focuses on specific natural language processing tasks such as machine translation, information retrieval, question-answering systems, dialogue systems, etc. Natural language processing has made a significant contribution to the development of human society and the economy and provides strong support for all aspects of research work. Opinion mining, or sentiment analysis, is a subfield of natural language processing that develops systems for identifying and extracting ideas from text. Sentiment analysis is a hot topic since it has many practical applications. Many opinion-expressing texts are available on review sites, forums, blogs, and social media as the amount of publicly available information on the Internet grows. This unstructured information can then be automatically transformed into structured data about products, services, brands, politics, or other topics on which people can express their opinions using sentiment analysis systems. This information can be used for marketing analytics, public relations, product reviews, network sponsor ratings, product feedback, and customer service. With the rapid growth of labeled sample data sets and the notable enhancement in graphics processor (GPU) performance, convolutional neural network research has advanced rapidly and achieved remarkable leads to various computer vision tasks. By reviewing the application of CNN, we see that convolutional operations are naturally suitable for some text processing and, thus, naturally suitable for the background of sentiment analysis.
Persisting Shadows: Examining the Legacy of Gender Inequality in Chinese Family Dynamics and Resource Allocation
Authors: Wang Beiyu
Published: February 2024

This study examines the persistent gender inequality in Chinese family dynamics, particularly focusing on the traditional preference for sons over daughters in resource allocation. It highlights the “Fu Di Mo” phenomenon, where women disproportionately support their brothers, reflecting deep-rooted patriarchal norms. The paper explores how these practices, rooted in historical cultural values, are perpetuated by economic and educational disparities. It argues for a multifaceted approach to address this inequality, involving policy reform, educational restructuring, and shifts in societal attitudes. The study emphasizes the need for comprehensive strategies to achieve gender equality in modern Chinese society.
Impact and response: Debate on the necessity of female education in the late Qing Dynasty and the early Republic period
Authors: Tan Tongyu
Published: February 2024

The late Qing Dynasty and the early Republic of China were the periods of rapid changes in Chinese society. People’s thoughts were wandering between persistence and innovation. Influenced by the introduction of Western ideas, missionaries and advanced Chinese intellectuals advocated women’s education and the establishment of girls’ schools. Influenced by the traditional social division of labor, feudal ethical thoughts and heavy historical accumulation, it has not received unanimous support, and this resistance mainly comes from conservatives. Under the pressure of public opinion from all walks of life, women’s right to education was initially established. The debate on the necessity of women’s education presents the characteristics of impact and response, reflecting the rise of feminism and the awakening of women’s self-consciousness.
Research on Spatial Concept Transfer - the Order of Adverbial Clauses of Time from Chinese English Learners at Different Educational Levels
Authors: Gu Xuguang
Published: February 2024

The research on spatial concept transfer as a cognitive paradigm of language transfer aims to explain the factors that learners may encounter in second language acquisition (SLA) and promote the development of SLA. This research uses a corpus-based approach to reveal the features of English learners’ distribution of inflectional order in When, While, and Once-led adverbial clauses of time at different levels of education and to validate the theoretical framework of spatial concept transfer.
The Study of the Relationship between Or8a1 (M71) Demethylation and Trans-generational Odor Fear Reaction
Authors: Shan Pengran , Liu Chengyu
Published: February 2024

The transmission of changes in phenotype from the parental generation to their offspring after experiencing environmental stress is termed transgenerational memory. Trans-generational epigenetic inheritance (TEI), which involves DNA modification, histone modification, and miRNAs, is the cause of trans-generational memory. This is because they can regulate the expression of genes and relative phenotypes downstream. This article explores the mechanisms under trans-generational memory of an increase in acetophenone sensitivity in mice after the training of odor fear conditioning in the P0 generation. We designed a series of experiments to detect the demethylation status in olfactory sensory neurons (OSNs) and their precursor cells and an artificial edition of the demethylation status by CRISPR d-Cas9 system in either olfactory sensory neuron and sperms. We aim to gain some insights into whether the artificial demethylation of olfactory sensory neurons is sufficient to cause demethylation in sperms (from somatic to germ cells) and whether the artificial demethylation in sperms could lead to demethylation in OSNs in the following generations (from germ cells to somatic cells).
Odměňování komunálních politiků
Authors: Hulínský Lukáš
Published: February 2024

Odměňování politiků je stále do značné míry opomíjené téma, ačkoliv se jedná o jeden z významných motivátorů pro vstup do politiky, případně pro znovuzvolení. V české akademické obci se platům volených zástupců věnuje velmi malá pozornost. Tato práce se věnuje lokální úrovni malých až středních obcí, mapuje nynější situaci a upozorňuje na možné nedostatky současného nastavení systému. Systém odměňování, ačkoliv je dán legislativou a působí vcelku rigidně, tak umožňuje velké rozdíly napříč obcemi podobné velikosti.
Faktory ovlivňující výdaje na léčbu novotvarů v České republice
Authors: Havlík Pavel
Published: February 2024

Článek se zabývá aktuální problematikou současného zdravotnictví. Výdaje na zdravotnictví neustále rostou. Finančně náročná jsou zejména odvětví, která se starají o léčbu pacientů s růz-nými typy nádorového onemocnění. Hlavním cílem článku je kvantifikovat dopad vybraných faktorů na finanční výdaje na léčbu rakoviny. Článek zkoumá zejména tři faktory – měnový kurz, technologický pokrok a úmrtí pacientů s nádorovým onemocněním.Pracuje s několika časovými řadami, které zahrnují data z let 2000 až 2017. Výdaje na léčbu onkologických pacientů k celkovým výdajům na zdravotnictví v ČR (Česká republika) význam-ně ovlivňuje měnový kurz. Velký význam při růstu výdajů při léčbě onkologických pacientů má i technologický pokrok. Stále novější a modernější přístroje jsou dokonalejší, léky jsou účinnější a zachraňují více živo-tů, prodlužují délku lidského života, nicméně jsou finančně nákladnější, a proto je třeba počítat s dalším růstem finančních výdajů.Úmrtí na nádorová onemocnění ovlivňují rovněž výdaje na léčbu rakoviny, neboť záchrana každého lidského života zvyšuje náklady na jeho léčbu.
Research on Yulin Historical and Cultural Neighborhoods under the Threshold of Ecological Translation Studies and its Countermeasures for Public Notice Translation
Authors:   Yulin College，Shaanxi, China, Chai Hua
Published: February 2024

With the continuous development of globalization, the importance of translation, as an important means of cultural exchange, is becoming more and more prominent. Ecological Translation Studies provides a new perspective to understand and practice translation activities. As an important cultural heritage in northern China, the translation of public notices in Yulin Historical and Cultural Neighborhood is not only a task of language conversion, but also a process of cultural transmission and adaptation. The purpose of this paper is to explore how to effectively deal with the translation problems in this specific cultural environment under the framework of ecological translation studies, and to propose practical translation countermeasures.