bluuebunny/crossref_metadata_2025 huggingface dataset:
PERANCANGAN APLIKASI KONVERSI FILE IMAGE HASIL SCAN MENJADI FILE TEXT DENGAN METODE FEATURE EXTRACTION
Authors: Yusuf Kadri
Published: February 2024

Dalam proses konversi file image dengan cara proses scan menjadi file text tentunya adalah salah satu dari teknik untuk memudahkan pengguna dalam mengedit file image yang diubah dalam bentuk file text tanpa harus menyalin ulang dokumen secara manual.Feature  extraction  merupakan  salah  satu  cara untuk mengenali suatu objek dengan melihat ciri-ciri  khusus yang dimiliki objek tersebut. Tujuan dari  feature  extraction  adalah  melakukan  perhitungan dan  perbandingan  yang  bisa  digunakan  untuk mengklasifikasikan ciri-ciri yang dimiliki oleh suatu citra. Pemetaan  ciri-ciri  khusus  yang  dilakukan  terhadap  citra  karakter  adalah  keterbukaan  citra,  jumlah  garis  vertikal  dan  horizontal,  jumlah  perpotongan  pixel  hitam  di  bagian  tengah  citra  secara  vertikal  dan  horizontal, dan histogram  pixel  hitam  pada  sembilan  bagian  citra yang dibandingkan dengan resolusi citra karakter.Dalam sebuah perancangan sistem yang dibuat, masukkan yang dilakukan ke dalam sistem adalah berupa file image yang berada didalam file dokumen atau hasil image pada proses scanning. Dan perangkat lunak untuk konversi file image hasil scan menjadi file text ini dibangun dengan menggunakan bahasa pemrograman microsoft visual basic 2008.
ANALISA TANDA TANGAN DIGITAL MENGGUNAKAN HEBBIAN LEARNING DAN SUPPORT VECTOR MACHINE
Authors: Lubis Juanda Hakim
Published: February 2024

Tanda tangan merupakan salah satu ciri dari setiap orang. Biasanya tanda tangan digunakan pada surat pernyataan, atau pun transaksi yang berhubungan dengan hal keuangan, baik penjualan barang maupun pembelian barang. Hal itu menjadi bermasalah jika suatu transaksi gagal karena adanya pemalsuan tanda tangan, tentu saja hal tersebut sangat merugikan, sehingga sangat penting untuk melakukan identifikasi tanda tangan.  Untuk menentukan suatu tanda tangan asli atau palsu tersebut digunakan metode Hebbian Learning. Dengan menggunakan Hebbian Learning dan Support Vector Machine tanda tangan akan diekstraksi cirinya lalu dibandingkan dengan tanda tangan uji untuk mengklasifikasikan tanda tangan uji asli atau  palsu. Hasil dari proses ini akan menyatakan cocok atau tidak cocok suatu tanda tangan. Bentuk tanda tangan mempengaruhi kombinasi parameter Hebbian Learning untuk mencapai tingkat akurasi yang baik. Dari hasil uji yang dilakukan menunjukkan bahwa sistem dapat mengenali tanda tangan dengan ketepatan rata-rata 91% untuk 5 orang data sampel.
ANALISA KOMBINASI PESAN TEKS KE DALAM FILE AUDIO MEMANFAATKAN ALGORITMA DATA ENCRYPTION STANDARD DAN METODE END OF FILE
Authors: FAUZI ACHMAD
Published: February 2024

Perkembangan dunia teknologi informasi yang sangat pesat akhir-akhir ini berpengaruh dalam segala aspek kehidupan. Untuk menjaga dan mengamankan pesan maka digunakan banyak teknik yang berbeda dan tidak mudah untuk di lihat oleh orang lain.  Dengan menggunakan dua metode ini digunakan untuk menjaga kerahasian pesan yang akan dikirim, guna melindungi pesan tersebut dari orang-orang yang tidak diberikan hak untuk melihat pesan yang bersifat rahasia tersebut. Algoritma DES (Data Encryption Standart) termasuk Algoritma kriptografi simetri yang tergolong jenis blok kode algoritma DES yang beroperasi pada ukuran blok 64 bit. DES mengenkripsikan 64 bit teks asli menjadi 64 bit teks kode menggunakan 56 bit kunci internal (internal  key)  atau  kunci (subkey) sedangkan kunci internal dapat dibangkitkan sedangkan Metode End Of File (EOF) merupakan salah satu teknik untuk menyisipkan data pada akhir file. Kedua Algoritma Data Encryption Standard (DES) Dengan Memanfaatkan Metode End Of File (EOF), akan muncul menamampilkan baca pesan Aplikasi Keamanan Pesan Teks Ke Dalam File Audio Menggunakan Algoritma Data Encryption Standard (DES) Dengan Memanfaatkan Metode End Of File (EOF
PENGGUNAAN TEKHNIK BLUEPRINT PADA PEMODELAN OBJEK 3D
Authors: Fauzi Muhammad
Published: February 2024

3D object is a manipulation of objects that have length, width and height or use 3 coordinate axes namely x, y and z. 3D objects look so real because they are made of real things and this 3D object is popular with all circles, because the sharp effects and high color resolution make the 3D look more real and beautiful. But not many people know how to make it and that knowledge is hard to come by. Some sources cannot be expected so detailed to share their knowledge. Therefore, the writer wants to share the knowledge that is gained from experience and to become an addition.

There are several techniques used to maximize and facilitate sharp and accurate 3D object modeling, one of the important of these techniques is the Blueprint, Blueprint is a design drawing or sketch of an object in the form of 2 dimensions, consisting of images of side objects, front view , looks above and looks back, this allows us to make the blueprint as the main reference and capital for building 3D objects in great detail and because also 3D textures or object shapes only follow sketches that are displayed only from the blueprint, the 3dsmax blueprint application can also help animators in making all the desired models, a blueprint can be obtained through a site that is already available and can also be self-created through the design drawings which will be scanned to the computer with jpeg format with pixel resolution that must be above 760 x 680 so that the image looks clearer and easier for the modeling process 3D object.
PENGARUH JARAK CELAH BUSI TERHADAP DAYA MESIN KIJANG INNOVA BENSIN
Authors: GINTING TINUS
Published: February 2024

The development of the automotive world experienced rapid development, and the most prominent development was in the ignition system. In this study will be discussed about the gasoline motor ignition system, especially the effect of spark plug gap on the power produced by the gasoline engine. The aim of research is to produce a good combustion process in the engine combustion chamber by determining the distance of the spark plug so that the sparks produced are perfect. The right spark plug gap will produce perfect combustion and the power produced will also be in accordance with the specifications of the engine. In order to maintain good spark plug work, it needs to be done in a maintenance manner to determine the extent of the effect of spark plug gap on the engine power of the gasoline motor. As for what will be examined in this study is the engine speed and engine power which is influenced by the distance of the spark plug to produce engine power on the gasoline motor. The method used in this study in the research is by using the direct method of conducting research in Cv. Prosperous motorbike. Materials used in research, one unit of Toyota Innova, with equipment measuring instruments and keys needed. In the study measurements were taken by measuring the distance of spark plug gap from 0.8 mm to the normal power, 0.6 mm the effect on power is not good because at high speed the fire jump is not large so the combustion is not perfect, and 1 mm the effect on the power The result is very low because the low and high speed sparks are unable to burn the fuel mixture. The results show differences in engine speed and power produced by the engine on a gasoline motor. To produce perfect engine power, it is necessary to do routine maintenance, especially the ignition system for spark plugs so that ignition and engine power are produced as stable as the specifications.
PENERAPAN ALGORITMA GENETIKA DALAM MENENTUKAN JALUR TERDEKAT PENDISTRIBUSIAN PRODUK GRANIT/KERAMIK PADA PT. CHANG JUI FANG
Authors: NASUTION ADNAN BUYUNG
Published: February 2024

PT.Chang Jui Fang as the only ceramics industry producer in North Sumatra has many distributor locations, the problem so far is the difficulty in choosing the location of the distributor city to be targeted to optimize or determine the shortest path in the distribution journey based on distributor needs, the application of genetic algorithms with the system builds a new population of the second parent crossing that produces a new chromosome as the shortest path optimization as a solution to the problem.
PEMODELAN SISTEM INFORMASI PENILAIAN PRESTASI KERJA PEGAWAI KANTOR DINAS KOMUNIKASI DAN INFORMATIKA (DISKOMINFO) KOTA PONTIANAK
Authors: Pratama Eri Bayu , Kadarusman Kadarusman
Published: February 2024

Employee performance appraisal is a way of evaluating employee work performance with a set of objective benchmarks that are directly related to one's duties and are carried out regularly. Employee performance appraisal is carried out by the Pontianak City Office of Communication and Information with conventional techniques so that the presentation of employee performance reports is not timely, inaccurate and less than optimal. The author intends to conduct research to solve the problems experienced by the Office of Communication and Information Pontianak by designing employee performance appraisal information systems using UML (Unified Modeling Language) modeling consisting of diagrams use cases, class diagrams and sequence diagrams. Data collection techniques are done using descriptive methods to collect data, analyze and interpret it. As well as having a user (actor) who acts as access to manage the information system that will be used, the user (actor) consists of Employees, Section Heads (KASI) and Heads of Offices. Employees can fill in the attendance list every working day. Section Head can process employee data, work target data, integrity and quality data as well as work performance data. The Head of Service can process user data and access employee performance reports.
ANALISA MODEL POHON DAN GRAF PADA GAME PERFECT WORLD 2 ONLINE
Authors: Nugraha Wahyu , Syarif Muhamad , Sabaruddin Raja
Published: February 2024

The implementation of graphs and trees in the Perfect World Online Game is one example of the application of discrete mathematics in human activities, especially the world of entertainment. The internet is currently causing the development of online games to increase rapidly, as seen from the emergence of many online games with various genres such as Adventure, Action, Strategy, RPG, MMORPG and many more. MMORPG was chosen as the type of game to be discussed because in the game model and features many apply trees and graphs. With the help of graph and tree theory, we can further explore all the features that are fast in an online game.
ANALISIS PERAMALAN PERSEDIAAN MENGGUNAKAN PERANGKAT LUNAK BERBAIS FUZZY DENGAN METODE WEIGHT MOVING AVERAGE (WMA) PADA BERKAH LAUNDRY PARIAMAN
Authors: Mardiansyah Mardiansyah
Published: February 2024

Penelitian ini dilaksanakan dalam upaya melakukan optimasi proses bisnis dari segi persediaan bahan baku. Peramalan untuk pengadaan bahan baku bisa dilakukan dengan efektif menggunakan perangkat lunak berbasis fuzzy, akan didapat output berupa data hasil peramalan kebutuhan bahan baku dengan mengolah data pemakaian pada periode sebelumnya sehingga dapat meminimalisir kelebihan/kekurangan stok. Penelitian ini diterapkan pada Berkah Laundry Pariaman. Dari hasil penelitian ini diperoleh peramalan kebutuhan bahan baku untuk periode Oktober 2021 sebanyak 21 liter dengan nilai MAD sebesar 1,23, nilai MSE sebesar 1.91 serta nilai MAPE sebesar 0,06%, hasil peramalan juga sudah dibandingkan dengan data sebenarnya pada periode Oktober 2021, hasil akurasi peramalan 77%.
PENGEMBANGAN METODE PEMBELAJARAN DARING UNTUK SMK PUSAT KEUNGGULAN
Authors: Pardede Akim Manaor Hara
Published: February 2024

Awal mewabahnya Virus Corona 19 di Indonesia terjadi pada akhir tahun 2019 lalu yang menjadi salah satu faktor penyebab bagi dunia Pendidikan untuk mengubah cara pembelajaran yang dahulunya harus dilakukan secara tatap muka harus bergeser dengan pelaksanaan pembelajaran secara dalam jaringan (daring). Semua tingkat Pendidikan dari PAUD, TK, SD, SMP, SMA dan Perguruan Tinggi melakukan pembelajanan secara daring yang memanfaatkan teknologi komunikasi yang lebih baik

Adabtasi teknologi yang telah dilakukan sekolah dengan pembelajaran melalui google class, media Zoom dan Google Meet tetapi masih juga mengalami kendala terhadap pemahaman guru dan siswa terhadap penggunaan aplikasi yang dipakai, hal ini tetap menjadi menambah masalah dan ditambah lagi dengan berbagai alasan dari guru, siswa dan orang tua yang merasa berat terhadap biaya paket internet yang walaupun ada kuota bantuan internet dari KEMENDIKBUD sudah ada. Masalah ini menjadi tantangan bagi pihak Perguruan Tinggi maupun pihak lainnya yang ingin mensukseskan pembelajaran yang dilaksankan daring maupun luring.

Peneliti ini merancang sebuah kegitan yang diharapkan menjadi soulusi dalam pemecahan masalah di sekolah dengan membangun server sebagai perangkat sistem manajemen pembelajaran Moodle, serta melakukan pendampingan/pelatihan di sekolah-sekolah dan khususnya sebagai objek pertama dilakukan pada 4 (empat) Sekolah Pusat Keunggulan.
IMPLEMENTASI ALGORITMA OTP DAN STEGANOGRAFI EOF DALAM PENYISIPAN PESAN TEKS PADA CITRA
Authors: Arief Muhammad , Simanjuntak Magdalena , Prahmana I Gusti
Published: February 2024

Penggunaan informasi media citra mempunyai beberapa kelemahan, salah satunya adalah mudahnya dimanipulasi oleh pihak-pihak tertentu dengan bantuan teknologi yang berkembang sekarang ini. Upaya yang dapat dilakukan dalam peningkatan pengamanan pengiriman informasi citra adalah kriptografi, yaitu ilmu dan seni untuk menjaga keamanan pesan. Pada penelitian ini diterapkan metode One Time Pad dan Stegnografi End Of File yang bertujuan untuk memperoleh cipher yang lebih kuat dengan menyisipkan pesan kedalam citra sehingga susah untuk di sadap. Algoritma One Time Pad untuk mengenkripsi dan dekripsi, Stegnografi End Of File yang digunakan untuk mengencoding dan mendecoding citra. Hasil dari penelitian ini menunjukkan bahwa dengan menerapkan algoritma One Time Pad dan Stegnografi End Of File dapat mengamankan pesan yang disisipkan kedalam citra dan mengamankan kunci untuk kebutuhan data. Waktu proses encoding dan decoding di pengaruhi oleh banyaknya pesan yang akan dirahasiakan.
PENERAPAN METODE MOORA DALAM MENENTUKAN PERUMAHAN SUBSIDI TERBAIK DI DAERAH SEI MENCIRIM
Authors: Marpaung Preddy , Sinaga Dedi Candro Parulian , Sianipar Baringin , Laia Muliati
Published: February 2024

Perumahan subsidi merupakan program pemerintah sebagai salah satu alternatife  untuk masyarakat yang berpenghasilan rendah supaya   kebutuhan primer masyarakat seperti rumah terpenuhi terutama bagi masyarakat yang sudah berumah tangga. Menurut website penyedia informasi rumah bersubsidi, bahwa jumlah perumahan bersubsidi terus bertambah setiap tahunya. Salah satunya di daerah Sei Mencirim yang terdapat puluhan  perumahan subsidi sebagai alternatife bagai masyarakat untuk memiliki rumah. Namun proses menentukan perumahan subsidi terbaik di daerah sei mencirim sangat sulit bagi masyarakat yang ingin mengambil rumah subsidi disana karena ketidak tahuan atau tidak adanya informasi mengenai perumahan subsidi terbaik disana. Oleh karena itu dibutuhkan sebuah metode dalam mendukung pengabilan keputusan menentukan perumahan subsidi terbaik bagi masyatakat yang ingin berdomesili di daerah Sei Mencirim. Peneliti menerapkan metode Multi-Objective Optimization by Ratio Analysis Atau biasa disingkat dengan metode MOORA dalam menentukan perumahan subsidi terbaik di daerah Sei Mencirim. Alasan peneliti menggunakan metode ini, karena beberapa peneliti terdahulu banyak menggunakan sistem pendukung keputusan dengan menggunakan metode moora dalam memecahkan permasalahan dalam pengambil keputusan.
Schutz ist gut, Vertrauen ist besser
Authors: Dittrich Lars
Published: February 2024

„Wehrhafte Demokratie“, „Grundrechtsverwirkung“ und „Parteiverbot“ klingt es dieser Tage durch Straßen, Foren und Medien. „Endlich“ möchte man meinen, schließlich zeigen Beispiele in Polen, Ungarn, Israel und den USA, welch bemerkenswert fragile Gebilde Demokratie und Rechtsstaat weltweit sind. Die Forderungen zum Schutz der Verfassung sind nicht länger nur Parolen. Stattdessen gibt es inzwischen konkrete Überlegungen, das Bundesverfassungsgericht besser zu schützen. Entsprechende Überlegungen dürfen allerdings nicht den Blick dafür verstellen, dass auch eine erfolgreiche Reform beileibe nicht alle Gefährdungen beseitigen würde.
Trump’s Trials for Democracy
Authors: Issacharoff Samuel
Published: February 2024

It is hard to imagine a stable democracy having to confront the legal challenges presented by Donald Trump’s bid for reelection.  Courts have found him to be responsible for sexual assault, defamation and fraud, all in relatively quick succession. Taken together with repeated acts of demagogy and cruelty, the various legal proceedings reinforce the sense that Trump simply does not belong within the bounds of legitimate democratic contestation. But the charges against him thus far are civil claims that have no formal bearing on his bid for office. Nor do they seem to affect public opinion as the polarized electoral environment has little intermediate play that might be swayed by scandal, legal condemnation, or even the sense that enough is enough.
Effect of Glass Fiber and Rubber on the Properties of Expansive Soil and Its Utilization as Subgrade Reinforcement in Road Application
Authors:   Faculty of Engineering, Aqaba University of Technology, Aqaba, Jordan, Al Khazaleh Mahmoud , Al Masri Dua’a Omran ,   Faculty of Engineering, Aqaba University of Technology, Aqaba, Jordan, Saleh Alkhodari Mohamad Hussen ,   Faculty of Engineering, Aqaba University of Technology, Aqaba, Jordan, Yousef Hamdan Diya’ Ali ,   Faculty of Engineering, Aqaba University of Technology, Aqaba, Jordan
Published: February 2024

Expansive soil is a problematic material for construction due to its high potential for volume change, which can cause damage to road infrastructure. This study aims to investigate the effect of glass fiber and rubber on the properties of expansive soil and its suitability as subgrade reinforcement in road applications. The maximum dry density (MDD), optimum moisture content (OMC), and California Bearing Ratio (CBR) were evaluated for varying percentages of glass fiber and rubber in the soil. The results showed that the addition of glass fiber and rubber had a positive effect on the soil properties. The MDD and CBR increased with increasing fiber and rubber content, while the OMC decreased. Additionally, the reinforced soil exhibited a significant improvement in strength compared to the unreinforced soil. The study suggests that the incorporation of glass fiber and rubber can enhance the performance of expansive soil as subgrade reinforcement in road applications.
Navigating Regulatory Complexity: Leveraging AI/ML for Accurate Reporting
Authors: Tillu Ravish , Konidena Bhargav Kumar , Periyasamy Vathsala
Published: February 2024

In today's dynamic regulatory landscape, compliance with reporting standards is a critical challenge for organizations across various industries. Navigating through the complexities of regulatory requirements demands innovative solutions. This paper explores the application of Artificial Intelligence (AI) and Machine Learning (ML) techniques to enhance the accuracy and efficiency of reporting processes. By leveraging AI/ML, organizations can automate data analysis, identify patterns, and ensure compliance with regulatory frameworks. This study investigates the potential benefits, challenges, and best practices associated with integrating AI/ML technologies into reporting systems. Through a comprehensive review of relevant literature and case studies, insights are provided to assist organizations in effectively harnessing AI/ML for navigating regulatory complexity and achieving precise reporting outcomes.
Research on Three-dimensional Reconstruction
Authors: Huang Tianyi
Published: February 2024

Nowadays, with the continuous development of the field of computer vision and computer graphics, 3D reconstruction technology has become an area that has attracted much of people’s attention. 3D reconstruction refers to creating a 3D model of an object in the real world by extracting information from multiple 2D images or sensor data. This technology has important usages in many fields, including virtual reality, augmented reality, cultural heritage preservation, medical image processing, industrial design, etc. This thesis examines the application of 3D reconstruction in various fields, discusses the definition of development history, its wide application in life, and its advantages and disadvantages. This article is divided into four parts and discusses the algorithm research of 3D reconstruction in four fields. Through an in-depth study of 3D reconstruction technology, we can better understand its role in different fields and provide strong support for developing and innovating related applications. As more accurate devices and algorithms continue to advance, 3D reconstruction technology is expected to show its significant potential in more and more fields and create more realistic and useful digital experiences for us.
Research on brand differentiation strategies that can be implemented for e-commerce transformation - Using PDD as a case study
Authors: Shi Mingyue
Published: February 2024

In order to promote the transformation of China’s e-commerce industry, this study proposes a feasible strategy for brand differentiation based on the current status of China’s e-commerce, which is transitioning from high-speed growth to high-quality development. Under the guidance of a brand differentiation strategy, a brand differentiation strategy design system is constructed through case summaries and development analysis of PDD. Based on the theory of brand differentiation, this enables PDD to emerge as a leading company in a saturated and competitive market. When the market is highly homogenized, showcasing unique brand characteristics and differentiated features is the key to success. Through the theory of brand differentiation, combined with PDD’s brand development journey and differentiation strategy, we can identify the unique characteristics of the brand. This provides innovative ideas and serves as a reference for the transformation of China’s e-commerce.
Government’s crisis response and citizen’s confidence reconstruction: A literature review study from Post COVID-19
Authors: Huang Yaru
Published: February 2024

The COVID-19 pandemic has presented an unprecedented global crisis, highlighting the vital role of government in crisis management, especially in public health emergencies. This literature review, “Government’s Crisis Response and Citizen’s Confidence Reconstruction: A Post-COVID-19 Review,” delves into the varied governmental responses worldwide and their impact on public confidence and trust. It focuses on maintaining public trust while managing public health in a stable economic environment. The study emphasizes concepts such as “crisis response” and “citizen confidence reconstruction,” which contribute to understanding government actions, public trust, and compliance. Using a literature review, case studies, and regional comparison, it offers a multifaceted view of the responses of different regions. Although the study lacks quantitative analysis and focuses primarily on Asia-Pacific, its generalizability may be affected by its limited quantitative analysis. To provide a more comprehensive understanding of effective crisis management and rebuilding public confidence in the post-COVID-19 era, it would be helpful to expand the geographical scope, incorporate quantitative methods, and explore the long-term psychological and social impacts of pandemic responses.
Research on the legitimacy of the entity of administrative act -- Based on Ali Group’s anti-monopoly sky-high administrative penalty case
Authors: Zhao Xun
Published: February 2024

The topic of this paper is the legality of the Alibaba penalty case. Research methodology of the article is using the general standards of legality of administrative behavior, the application of the principle of separation of powers, whether the violation of the basic provisions, the protection of the principle of reliance and the prohibition of abuse of power, so as to achieve the effect of reviewing the legality of the discussion of the four major perspectives. In this case, the judgment results of the fine link, does not satisfy the proportionality principle of proportionality between the means and the end and the proportionality principle of the discretionary system, it is Based on the judgment, the legality of the administrative penalty imposed by the General Administration of Market Supervision on Ali Group’s monopolistic behavior is still open to question.
Research on the Innovation and Development of Gravitational Wave Detection Technology
Authors: Li Fengxi
Published: February 2024

According to Einstein’s general theory of relativity, gravity is described as the curvature of space-time caused by gravitational sources, and to prove the existence of gravitational waves, many scientific research institutes around the world have begun to build equipment to try to detect gravitational waves in the vast background signals of the universe. At present, gravitational waves have been detected by many scientific research institutions and scientists. Now, the detection of gravitational waves has shifted to the direction of high precision and accuracy. This paper starts with the laser interferometer, the most basic instrument for gravitational wave detection. It expounds on the latest development progress and key technologies of gravitational wave detection in the current physical world, including noise suppression and gravitational wave detection spacecraft projects. In terms of laser interferometers, this paper describes their principle and key technologies and puts forward the difficult problems that still need to be tackled and studied. In terms of noise suppression, this paper describes the noise and interference that may be generated and how to suppress the noise to avoid interfering with the accuracy of the experiment. It also points out the shortcomings of current noise suppression techniques. For gravitational wave detection spacecraft projects, this paper first focuses on several key projects in the world, then describes the technologies and shortcomings of spacecraft, and puts forward the direction of improvement and in-depth research on these technologies. This paper aims to summarize the key technologies of gravitational wave detection in the world today and point out the direction of its future development.
Rethinking Aggressive behavior in Adolescents: an exploration of the relationship between social Intelligence and empathy
Authors: Li Peijia
Published: February 2024

This literature review rethinks aggressive behavior in adolescents and focuses on its analysis through the lens of social intelligence and empathy. Aggressive behavior is essential in adolescence because this period is a critical stage for developing emotional cognition and social skills. This article attempts to explain and analyze how social intelligence and empathy influence aggressive behavior in adolescents. Social intelligence is a crucial factor influencing an individual’s performance in social situations. Empathy is the ability to understand and care about the feelings of others, and empathy is associated with more positive conflict resolution skills. Studies have found a positive correlation between high social intelligence and lower aggressive behavior. Highly empathetic adolescents were more likely to use positive conflict resolution methods, thus reducing the likelihood of aggressive behavior. Finally, the essay makes recommendations for future research, including further exploration of the influence of other factors on aggressive behavior. These studies contribute to a deeper understanding of the complexity of adolescent aggressive behavior and provide a theoretical basis for research interventions.
The Image Classification Algorithm Was Implemented on The MNIST Data Set
Authors: Xiao Wayuan
Published: February 2024

In the current era of rapid development of science and technology, the recognition and classification of digital images is the key to solving many problems, such as the application of license plate recognition, document digitization, and remote sensing image surface classification. Based on the MNIST handwritten numerical data set collected by the National Institute of Standards and Technology (NIST), this report uses Python language and PyTorch programming framework to construct a convolutional neural network (CNN) structure and practice and experience the image classification of handwritten digits in the MNIST data set.
Educational anxiety and expectations of middle-class Chinese families Under the promulgation of the double reduction policy
Authors: Xiong Zihan
Published: February 2024

In the context of the policy issued by the Ministry of Education of China to reduce the academic pressure of primary and secondary school students, families across the country are increasingly anxious about education. On this basis, this study has determined to study the educational anxiety and educational expectations of middle class families in China. Using 2021 data from the China Family Data Tracker, this paper analyzes the data of middle-class families in China to explore what factors contribute to educational anxiety and expectations. The results show that family income and the number of family members have no influence on educational anxiety and expectation, and this anxiety will greatly affect children’s mental health development, which needs social attention.
Numerical Methods for Option Pricing
Authors: Jiang Bohan
Published: February 2024

Nowadays, financial markets have become more complex and have given rise to more research opportunities, one of which focuses on research related to the pricing of various financial instruments used in options trading. In this essay, a gradual process of reflection is used to deepen the option pricing theory. Firstly, an effective mathematical method for pricing option contracts is using the binomial tree model, a relatively straightforward way of calculating the value of an option. However, it has only two upward and downward trends and has limitations that are the most different from the actual market conditions. That is why the study will have to continue in-depth to get as close as possible to the real situation in the market. The next step is to make the model more in line with market reality by adding a possible rate of change, resulting in the Trinomial Tree Model. The model incorporates the possibility of future price increases, decreases, or stabilization (the third change). The Trinomial Tree Model follows the no-arbitrage principle and removes the assumption of a risk-free market opportunity. This paper derives a method for constraining market prices under risk-neutral conditions. This is crucial for investors seeking profitable outcomes in options trading. The main objective of this research-based paper is to develop a complete theory of option pricing in a one-step trinomial tree model.
The role of GPRASP1 mutations in the pathogenesis of arteriovenous malformations
Authors: Du Lehan
Published: February 2024

Arteriovenous Malformation (AVM) is a sporadic vascular disease caused by the aberrant direct connection between arterioles and veins, resulting in disorganized blood shunting and oxygen level disparities. Previous research has elucidated some of the genetic underpinnings of AVM and related vascular anomalies. Despite its significant prevalence, current therapeutic approaches remain largely conservative, underscoring the need for a deeper understanding of AVM pathogenesis. This study focuses on the GPRASP1 gene, which encodes the G-protein coupled receptor-associated sorting protein 1 (GASP-1), a molecule implicated in vascular development. Utilizing western blotting and cellular assays, we explored the role of GPRASP1 in angiogenesis, neoplastic formation, and other mechanical aspects of AVM. Our findings suggested that mutations in the GPRASP1 gene may contribute to elevated levels of angiogenic factors and altered cellular functions related to angiogenesis, such as enhanced proliferative and migratory capabilities. This research lays the groundwork for identifying novel therapeutic targets in the management of AVM and offers insights into precision medicine approaches.
Exploring Gender Stereotype Perceptions: An Eye-Tracking Study on Household Product Commercials
Authors: Sun Ziran
Published: February 2024

Gender stereotyping, characterized by oversimplified perceptions of women and men in society, engenders prejudices that significantly impact individuals’ evaluations of different genders. The media, as a potent carrier of cultural and social norms, plays a pivotal role in shaping societal views on gender stereotypes. Advertising is a prevalent form of mass media that widely appears in people’s daily lives. Commercials embed cultural and social concepts when promoting products and establishing brand images. This study measures people’s gender stereotypes while viewing advertisements, specifically focusing on household products traditionally associated with females. Different groups of participants were exposed to advertisements adopting female and male models, respectively, with an eye-tracking device employed to record and quantify gaze distribution, which reflects people’s attention. Results revealed that female and male participants exhibited a greater attention bias toward male models in the advertisements.Additionally, female participants demonstrated heightened sensitivity to male models compared to the male participants in this experiment. This attention bias suggests a noteworthy phenomenon in household product advertisements, where traditionally female-associated tasks are incongruously portrayed with male models, prompting increased viewer attention due to the perceived disparity. This research utilizes a novel eye-tracking approach, providing quantitative and precise insights into gender stereotypes within advertising. The results revealed the enduring presence of gender stereotypes in today’s society. It is crucial to advocate for a more inclusive, fair, and unbiased perspective on gender to promote societal change, and the media plays a significant role in this responsibility.
SWOT Analysis of Tencent Games’ Market Strategy
Authors: Chen Bohao
Published: February 2024

This study takes Tencent Games as the target and uses SWOT analysis to discuss its market strategy in depth. In recent years, the gaming industry is getting more and more attention. The research theme focuses on Tencent Games’ market strategy and analyzes it from four perspectives: internal strengths and weaknesses and external opportunities and threats. The study found that Tencent Games has obvious product development and marketing advantages, but there are challenges in product innovation and overseas market expansion. From the perspective of opportunities, Tencent Games should seize the development opportunities of emerging markets such as mobile games and cloud games. From the perspective of threats, Tencent Games needs to be vigilant against the impact of external factors such as policy risks and competitive pressures. In conclusion, this study suggests that Tencent Games should consolidate its advantages, actively respond to challenges, pay attention to industry trends, and adjust its strategy promptly. At the same time, Tencent Games must also focus on product innovation and overseas market expansion to maintain its continued market competitiveness.
Advances in Bioengineering: Head Bone Replacement in Humans
Authors: Zhao Yuzhe , Qiu Puxi
Published: February 2024

This article presents an extensive review of the latest breakthroughs in cranial bone replacement, a major innovation in bioengineering and regenerative medicine. This paper examines conventional techniques for treating cranial bone disorders, including artificial implants and autografts, and notes their drawbacks. The article examines advanced methods, such as 3D bioprinting, bioactive scaffolds, and therapies based on stem cells, which provide a hopeful substitute for patients. It underscores the significance of interdisciplinary teamwork of biologists, material scientists, and healthcare professionals in promoting these advances. Furthermore, the article addresses ethical considerations relating to identity and consent. Furthermore, this study explores the potential impact of head bone replacement on patient outcomes, quality of life, and the healthcare system. These advancements have the potential to redefine craniofacial surgery and enhance the lives of individuals who suffer from head bone-related ailments. This marks a significant milestone in the evolution of bioengineering.
Diagnostic indexes and pharmacological treatment of Alzheimer’s disease
Authors: Zhu Yiran
Published: February 2024

The most sensible and scientific way to control Alzheimer’s disease (AD) is to diagnose and treat it early and change lifestyle and diet, so diagnostic modalities rely primarily on imaging analysis of biomarkers and examination and evaluation of serum and cerebrospinal fluid to determine AD type and disease progression in patients by several characteristic biomarkers (e.g., protein dysfunction, oxidative stress, metal ion vascular disease, mitochondrial population changes). However, there are preferences for different biomarkers in the aspect of inspection cost and patient type. As one of the signature pathologies of AD, β-site amyloid precursor protein (APP) cleaving enzyme 1 (BACE1) plays a crucial role in diagnosis and treatment. The difficult transmission of neurotransmitters in the synaptic gap caused by Aβ deposition is the breakthrough point for treatment and detection, which also means that detecting Aβ’s specific PET ligand in cerebrospinal fluid is more meaningful. For treatments, APP-making BACE1 becomes the key point in the AD clinical treatment. The review summarizes the diagnosis and treatment of AD based on BACE1’s mechanism and the process that causes AD.
Modern Portfolio Theory and Its Applications
Authors: Liu Jiaye
Published: February 2024

According to the modern portfolio theory, the monthly return data of 4 groups of portfolios (40 stocks) from November 5, 2011, to November 5, 2023, are empirically found: (1) the average monthly yield curve of stock portfolios group#1 and group#4 fluctuates significantly, while the volatility of equity portfolios group#2 and group#3 is relatively moderate. Especially after the new crown epidemic outbreak in 2020, the average monthly returns of all portfolios fluctuated sharply. (2) The expected return of NVDA is the highest among all stocks in the portfolio, and the IMB is the lowest. (3) Compared to the given portfolio returns, the #3 portfolio performs best, while the fund of group #1 performs the worst, and the remaining two portfolios perform well. In addition, if only the portfolio return and standard deviation are used as the portfolio return risk measures, the theoretical portfolio is better than the existing actual portfolio. Therefore, the return of a portfolio of securities will not exceed the yield of the benchmark portfolio at the same level of risk, which, to some extent, supports the hypothesis of the effectiveness of the securities market.
Enhancing Urban Waste Management: Development and Application of Smart Garbage Bin Technologies
Authors: Fei Ximing , He Piaopiao , Ma Haoran , Qiu Yiming
Published: February 2024

With urbanization and population growth, the volume of waste generated is also increasing. Traditional waste management methods may become insufficiently efficient, necessitating more intelligent and sustainable solutions to meet this challenge. In traditional waste management systems, garbage trucks often collect waste according to a fixed schedule without considering the actual fill level of the garbage bins. This can lead to resource wastage and unnecessary carbon emissions. The research background of smart garbage bins is also closely related to environmental protection. By managing waste more effectively, reducing pollution to land and water sources is possible, contributing to achieving sustainable development goals. This study investigates the application of smart waste bin technology in urbanization, focusing on its potential in waste classification and environmental protection. The research encompasses three main stages: system design, prototype construction, and functional testing. In the system design phase, key components such as LED displays, ultrasonic sensors, and servo motors were selected based on functional requirements, and intelligent control was implemented using Arduino boards and the U8g2lib library. During the prototype construction phase, 3D printing and precise assembly were employed to ensure the effective layout of electronic components. The testing phase involved evaluating the performance of humidity sensors, ultrasonic sensors, and voice modules. The test indicates that the smart waste bins perform well in terms of sorting accuracy and ease of operation, but improvements are needed in real-time monitoring and user interaction. Overall, this study provides significant insights into the technological development of smart waste bins and their application in urban environments.
Research on User Privacy Issues in VR/AR Class Mobile Apps
Authors: Xiang Zihao
Published: February 2024

With the rapid development of the Internet, an increasing number of devices are interconnected through the Internet, making the protection of user privacy during the information transmission process increasingly prominent. This paper categorizes user privacy issues into computer and mobile devices and analyzes their specific threats. Towards the end of the article, we propose methods for protecting user privacy from three perspectives.
Framing Differences in Reports on Japan’s Discharge of Nuclear Wastewater: A Comparative Analysis of The New York Times and China Daily
Authors: Qin Weiyang
Published: February 2024

Since Chornobyl, nuclear disasters have long overshadowed global environmental concerns. Recently, the discharge of nuclear wastewater from the Fukushima Daiichi Nuclear Power Plant in Japan has reignited discussions on such incidents’ environmental and geopolitical implications. In the aftermath of the earthquake and tsunami 2011, the Fukushima Daiichi Nuclear Power Station was severely damaged, accumulating radioactive-contaminated water used to cool the reactors. In August 2023, Japan began discharging nuclear wastewater into the Pacific Ocean, overseen by the International Atomic Energy Agency (IAEA). This paper aims to analyze and compare the reports of China Daily and The New York Times on this issue. China Daily is China’s state-owned mainstream media dedicated to reporting news to English-speaking countries, while The New York Times is one of the most influential media in the United States. Through framing theory, this paper will use different frameworks to showcase how these two media outlets try to influence people’s perception of Japan’s discharge of nuclear wastewater and the geopolitical landscape.
A Comparative Analysis of Huawei and Apple: Market Strategies, Innovation, and Consumer Preferences
Authors: Liu Huizi , Liang Yuxing , Zhang Xige , Liu Ke
Published: February 2024

The mobile phone industry has witnessed exceptional development over the last few years, with strong competitors between significant gamers such as Huawei and Apple. This introduction aims to summarize the market conditions surrounding these two businesses, highlighting the research study background for this study. In addition, the approaches employed in this research, the conclusions drawn, and prospective future avenues for investigation will be discussed.
A Survey: Industrial Anomaly Detection based on Data Mining
Authors: Li Jinrui
Published: February 2024

Industrial defect detection plays a crucial role in modern manufacturing. Identifying and addressing inferior products contributes to enhancing product quality, strengthening product competitiveness, and increasing customer satisfaction. Existing surveys of industrial defect detection are relatively scarce and struggle to reflect the latest development trends. Therefore, this article provides a more detailed and in-depth survey of industrial defect detection technologies. The article first reviews the development history of industrial defect detection methods. It then covers three aspects: the concept of general anomalies, concepts related to image anomaly detection, and industrial defects, providing an overview of industrial defect detection in these areas. It also summarizes the current state of development, as well as the advantages and disadvantages of each aspect. Additionally, the article identifies the limitations of industrial detection methods in practical industrial applications. Finally, it looks forward to the future development trends and potential research directions in this field, aiming to inspire future research.
ESG and green Innovation
Authors: Wang Shenshen
Published: February 2024

In recent years, with the growing emphasis on environmental protection and sustainable development in society, comprehensive green transformation has emerged as a prominent trend in economic and social development. This transformation not only enables enterprises to achieve sustainable development but also captivates the attention of an increasing number of investors. By analyzing the panel data of listed companies between 2011 and 2021, we found that outstanding ESG performance plays a pivotal role in promoting green technology innovation among enterprises. Within this process, financing constraints serve as a crucial intermediary. This research outcome offers valuable references for promoting green development initiatives among enterprises, enhancing the disclosure system of social responsibility information, and optimizing the efficiency of capital market allocation..
The direct link between adult hippocampal neurogenesis and mouse’s enhanced vulnerability to drug addiction
Authors: Wang Helen
Published: February 2024

Drug addiction has long been a problem in human history, causing a series of physiological and mental issues. Among them, cocaine is known for its relatively strong damage to the human body, and many studies have been done on its addictive features. Throughout the past decade, researchers have been perpetually searching for ways to improve the treatment for drug addiction, especially cocaine addiction. By testing the effect of reduced adult hippocampal neurogenesis on mice, researchers in previous studies have found that there exists either a direct or indirect relationship between adult hippocampal neurogenesis (AHN) and cocaine addiction. This article examines previous studies that used cocaine to test the relationship between reduced AHN and the vulnerability to addiction in mice and compares cocaine with other types of strong drugs to analyze whether the same relationship with AHN exists for those drugs as well.
Discovering True Muoniums on CMS
Authors: Yang Dongyu
Published: February 2024

The primary focus is on meticulous data analysis of data retrieved from the CMS detector server. A series of cut flows are implemented to eliminate impurity data and refine the dataset. The culmination of these procedures results in a graph emphasizing the balance variable ’B,’ revealing a remarkable symmetry concerning the y-axis. Complementing the data analysis is the creation of a Toy Monte Carlo simulation. This innovative method aims to replicate the experimental signal. Considering uncertainties in experimental data, the kinetic energy in the dimuon rest frame is systematically smeared. Additionally, the momenta of outgoing particles are subjected to variation, adhering to a normal distribution—a process termed the “experimental effect.” The simulated balance spectrum is then meticulously compared with the experimental counterpart. This comparative analysis serves as the litmus test for the presence of True Muonium signals. The outcome of this project bears implications for the understanding of True Muoniums and contributes to the broader discourse in particle physics. The combination of advanced data analysis and simulation techniques enhances our ability to discern the subtleties of particle interactions, offering valuable insights into the fundamental nature of the universe.