bluuebunny/crossref_metadata_2025 huggingface dataset:
The Research of Financial Analysis of Li Auto Based on Harvard Analysis Framework
Authors: Gan Zhenxing
Published: September 2024

The new energy vehicle industry is currently experiencing robust growth, with numerous companies actively engaged in various business activities of the industrial chain. Recognizing its potential, the Chinese government has placed significant emphasis on the new energy vehicle industry, considering it a key driver of economic growth. Focusing on the financial reports from 2021 to 2023 for Li Auto Inc., this essay employs the Harvard Analysis Framework to comprehensively assess the company's financial landscape, encompassing strategic, accounting, finance, and future prospects. Employing the strategic model, which involves a PEST and SWOT analysis for Li Auto, along with a detailed examination of key accounting and financial data, the findings indicate that the company's solvency, while on average, displayed a declining trend, and its profitability was less than stellar. However, the operating ability exhibited a favorable condition. The recommended solutions for addressing the company's challenges primarily revolve around internal management strategies, emphasizing the reduction of operating expenses, enhancement of profitability, and the cultivation of a technological competitive advantage. These measures aim to improve the company's financial performance and overall development in the dynamic landscape of the new energy vehicle industry.
Research on Strategies for Improving English-Chinese Bilingual Reading Ability of College English Majors
Authors: Yao Chengsheng
Published: September 2024

The bilingual reading ability of College English majors is an important indicator to measure their English proficiency, which is of great significance for improving their cross-cultural communication skills and international competitiveness. However, in the actual teaching process, many students often have difficulties in reading comprehension, which affects their reading efficiency and comprehension quality. Therefore, understanding the factors that affect the bilingual reading ability of English majors in universities is of great significance for developing effective teaching strategies and improving students' reading ability. This study has identified strategies for improving the bilingual reading ability of English major students in universities through investigation and analysis, in order to serve English major teaching in universities.
Research on the Investment Value of Starbucks Based on SWOT, Financial and Valuation Methods
Authors: Lin Qing
Published: September 2024

Even though the global economy is not optimistic, the coffee industry still maintains a growth trend. Whether Starbucks, one of the top retailer of coffee, can remain competitive in the future and bring benefits to investors is the focus of this article. This article studies the investment value of Starbucks based on SWOT, financial analysis and P/E valuation methods. After comparative analysis with similar companies, Starbucks' current investment value is still underestimated and it has good development momentum. In the fog of "insolvency", Starbucks is still deeply trusted by investors. Considerable PEG ratio and GPA shows that Starbucks currently has a relatively undervalued stock price and nice asset utilization capabilities, indicating that the company has investment value. This research not only provides a reference for investors, but also provides value for Starbucks to learn itself.
Case Study of Reverse Merger - A Case Study on the Performance of SF Holding's Acquisition of Dingtai New Materials
Authors: Guo Jinlin
Published: September 2024

SF Express continues to lead the Courier industry in China with its standardization, high quality and high effectiveness advantages. However, as customers' requirements for service quality continue to increase, the cost of express delivery industry continues to increase, and in the case of numerous express delivery industries and fierce competition, SF Holding's traditional business model and existing capital are difficult to stabilize its leading position in the express delivery industry. In order to ensure the expansion of its own capital and seize a favorable position in the market, SF Holding chose to go public in 2016 through the backdoor of Dingtai New Materials. This paper will explain in detail the principle, practical operation, strategy and practice behind the success of SF Express backdoor listing, and study the financial performance of SF Holding by analyzing four indicators of debt repayment, operation, development and profitability according to the financial index method, sum up the strategic experience of the enterprise, and provide effective reference for the development and transformation of similar enterprises.
The Impact of Real Estate Purchase Restriction Policy on Urban Economic Development—A Case Study of Beijing
Authors: Yang Yaru
Published: September 2024

Since 2010, Beijing's purchase restriction policy has been adjusted several times to adapt to the market and promote stability. In April 2024, the policy was eased for housing areas outside the Fifth Ring Road, marking the first major adjustment in 13 years. This paper analyses the economic impact of Beijing's real estate purchase restriction policy, focusing on its effect on investment, consumption, industrial structure, and employment. The study indicates that the purchase restriction policy initially hinders investment and consumption in the short term but contributes to market stability and industrial optimization in the long run. The policy change has increased housing sales and growth in related industries outside the Fifth Ring Road, promoting economic development in the suburbs. Furthermore, the policy has a nuanced impact on the employment market, encouraging labor mobility toward high-tech and service industries while affecting employment in real estate-related sectors. The study suggests that policymakers need to consider the impacts of various aspects to ensure the healthy development of the real estate and employment markets.
Jewish Self-identification and Political Compromise: Evidence from the IsraeliPalestinian Conflict
Authors: Wang Yuchen
Published: September 2024

This paper explores the relationship between Jewish self-identification and their attitudes to political compromise in the Israeli-Palestinian conflict, grounded in social identity theory. The multifaceted dimensions of Jewish identity, such as religious, cultural, and national ones, and their impacts on political stances and peace negotiations. Through semi-structured interviews, the study reveals that Jewish collective identity significantly influences their political positions and behavior. Most respondents held that their Jewish identity shapes their views on the Israeli-Palestinian conflict, mainly due to experiences of being persecuted and the establishment of Israel after the Holocaust, which lead them to a cautious attitude to political compromise, especially regarding security or sovereignty. Additionally, internal divisions within Jewish community (e.g., conservative to progressive) significantly influenced their attitudes to the conflict and a two-state solution. It emphasizes the important impact of recognizing and respecting Jewish identity on fostering inclusive dialogue, bridging ideological gaps, and promoting peace. It is necessary to pay attention to the crucial role of historical memory and cultural heritage in shaping political positions for effective conflict resolution strategies. This study offers insights but also exists limitations, suggesting future research, such as quantitative analysis and widening data collection to capture evolving political attitudes within the global Jewish diaspora.
Examining the Viability of AI-Generated Content in Revolutionizing China's News and Communication Industry: A Case Study of Xinhua News Agency
Authors: Yang Ruizi
Published: September 2024

In recent years, artificial intelligence(AI for short)technology has continuously emerged and empowered various fields such as medical finance and e-commerce live broadcasting, but the development of enabling news and communication industry is currently lacking in discussion and attempts. This paper uses Xinhua News Agency as a case study and employs comparative and feasibility analysis methods to explore the challenges encountered during the digital transformation of the traditional news communication industry. It assesses the potential of AI-generated content (AIGC) to tackle these challenges, demonstrating AI's ability to enhance audience reach, improve content accuracy, and personalize news delivery. By examining the intrinsic connection between AI-generated content technology and the news communication process, this study underscores AI's pivotal role in driving unique digital transformation within the traditional news communication sector. Nevertheless, the paper acknowledges the current insufficiency of data supporting Xinhua News Agency's AI news production. Future research should prioritize the collection and analysis of case data to facilitate a more comprehensive discussion.
On the Historical Lessons of Reform and Opening-Up
Authors: Dai Peiqi
Published: September 2024

The reform and opening-up initiative has left us with many valuable historical lessons. This paper mainly discusses the historical background of reform and opening-up, Deng Xiaoping Theory, historical lessons, and explores the reform and opening-up in the new era, in light of the decisions made at the Third Plenary Session of the 20th CPC Central Committee. Comprehensive deepening of reform in the new era must adhere to the principle of upholding the Party's overall leadership and the people-centered approach. While focusing on promoting economic system reform, it is essential to coordinate and plan reforms in other fields to fully advance the great rejuvenation of the Chinese nation through Chinese-style modernization.
Analysis of the Role of Butler Pattern in the Community Management
Authors: Ma Kexin
Published: September 2024

In community life, problems with neighbors are inevitable, and problems with the facilities in the house are also problems that everyone will encounter at the same time. Maybe the property will not solve these problems perfectly, they are usually not efficient, or they dont have any solutions. These problems are, to a large extent, detrimental to the lives of residents, who are unhappy with the present over time. At this time, the community needs some people to use another identity to replace the property to solve the problems of the residents to maintain the harmony of the community, and improve the service of the community. In this article, these people are called butlers. This paper focuses on analyzing the application of the butler pattern in the community, and in some cases, studying its role in community management. Through the analysis of its role to further improve community management and service, more people can choose a community because of the excellent community service. It not only makes the residents more comfortable, but also makes the community more famous, achieving a win-win situation. At the same time, this paper also hopes to attract more people who are interested in this pattern to speak out and build a better society.
Thematic and sentiment analysis of replies to depression help seeking related posts on Sina Weibo
Authors: Chen Ziyao
Published: September 2024

Depression is the most prevalent mental disorder globally, but traditional sources of depression help seeking such as psychiatry are laced with social stigma, resulting in a low worldwide depression professional help seeking rate. In recent years, many with depression have turned to the internet and specifically to social media as an alternative medium to seek help for depression, but the effects of online help have been discovered to be ambiguous. The present study aimed to investigate how depression help seeking related posts are responded to on Chinese social media in terms of two dimensions: themes and sentiments. Employing machine learning statistical techniques including topic modeling and sentiment analysis, this paper assessed the themes and sentiments within 8027 responses to 648 depression help seeking related posts created between October 1, 2018 and June 30, 2024. Topic modeling results reported that four prevalent themes underlie replies to depression help seeking related posts: Sad emotional support, Empathizing, Advising professional help, and Sharing. These prevalent themes all reflected supportive attitudes towards depression help seeking related posts through diverse ways. Sentiment analysis, on the other hand, revealed that still, 18.34% of responses held negative sentiments toward depression help seeking related posts. However, the prevalent sentiment in responses was also discovered to be positive, in line with the results of topic modeling. 78.04% of replies were found to hold positive sentiment, 3.63% of replies were found to hold neutral sentiment, and the mean sentiment score of responses was also positive. The findings of the present study provide insight into how depression help seeking is reacted to in Chinas social media landscape, indicating possible factors that may hinder the effects of seeking help for depression on social media and suggesting the potential need for systems to foster a more supportive online environment towards depression help seeking on Chinese social media.
Virtual shadow puppet generation based on AlphaPose
Authors: Sun Bangbang
Published: September 2024

This study aims to develop a novel motion capture method utilizing the AlphaPose project to support the production and analysis of shadow puppetry. Through precise capture and analysis of human body postures, we seek to enhance the performance quality of shadow puppetry, introducing modern technology to this ancient Chinese intangible cultural heritage art form, thereby facilitating its inheritance and development. This paper provides an introduction to the background and significance of the research, explores existing issues and shortcomings, and provides a detailed description of our methodology and the improvements achieved.
Analysis on recommendation systems based on ML and DL approaches
Authors: Song Jiayue
Published: September 2024

The explosive growth of the Internet has led to an unprecedented increase in available information, creating a major challenge in identifying content that aligns with user interests. Recommendation systems (RS) address this challenge by providing personalized content recommendations based on user behavior and preferences. This article systematically reviews the evolution of recommendation systems with a focus on the methodologies of machine learning (ML) and deep learning (DL). It highlights core technologies in ML-based RS, such as content-based recommendation, collaborative filtering (CF), and hybrid filtering (HF). The article evaluates the effectiveness of various DL models, including autoencoders (AE), convolutional neural networks (CNN), and recurrent neural networks (RNN). The review also addresses key challenges faced by RS, such as cold start issues and the need for improved model transparency and interpretability. DL methods are shown to significantly enhance recommendation accuracy by leveraging complex patterns in large-scale data, to improve the user experience. Future research directions include refining data preprocessing, enhancing feature engineering, compressing and accelerating DL models, and improving interpretability through advanced mechanisms. This study provides valuable insights and references for researchers aiming to advance recommendation system design and performance optimization.
Pengaruh Beban Pajak Tangguhan, Capital Intensity, dan Thin Capitalization terhadap Tax Avoidance
Authors: Lia Agustina  , Aris Sanulika
Published: September 2024

The aim of this research is to find out how tax avoidance is influenced by deferred tax expense, capital intensity, and thin capitalization in non-cyclical consumer sector companies listed on the Indonesia Stock Exchange (BEI) from 2018 to 2022. In this research, tax avoidance (Y) as the dependent variable, while deferred tax expense (X1), capital intensity (X2), and thin capitalization (X3) as independent factors. The annual financial reports of Consumer Non-Cyclicals Sector Companies listed on the Indonesia Stock Exchange (BEI) for the 2018–2022 period which are available on the official website www.idx.co.id, as well as registered journals or articles, are secondary data sources used in this research . Non-cyclical consumer sector companies listed on the IDX between 2018 and 2022 are the population for this research. By using the EViews version 9 application program, analysis techniques are used. This research concludes that there is a relationship between tax avoidance and deferred tax expense, capital intensity and thin capitalization test findings.
Pemetaan Tren: Analisis Bibliometrik dari Audit Report Lag yang Terindex Google Schoolar
Authors: Aisyah Kamila Putri  , Sri Andriani  , Ahmad Fahrudin Alamsyah
Published: September 2024

Financial reports are an important thing that is really needed by a company. The audit assessment has an impact on the financial reports that will be published. The study of audit delays is experiencing rapid growth. This has attracted the interest of many researchers to continue developing it, including analyzing internal and external company factors that influence audit delays. However, until now, publications related to this topic have not been well organized. This research aims to map research publications related to audit delays in a database context, with the keyword "audit delays" with the VOSviewer Bibliometric research study. The analytical method used is a quantitative method. Data sources were taken from journals indexed by Google Scholar, Sinta, and Emerald, then analyzed with the help of Publish or Perish and Mendeley Desktop software to screen the data. The results of this research show that in the Vosviewer Bibliometric study there are 3 Clusters and 24 main topics related to Audit Report Lag. This research provides an overview of relevant topic mapping for further research.
Pengaruh Agresivitas Pajak, Beban Pajak Tangguhan, dan Kebijakan Utang terhadap Nilai Perusahaan
Authors: Dian Nur Aprida  , Aris Sanulika
Published: September 2024

This research aims to examine the influence of tax aggressiveness, deferred tax burden and debt policy on company value in non-cyclical consumer sector companies listed on the Indonesia Stock Exchange (BEI) in the 2018-2022 period. In this research, the dependent variable is used, namely Company Value (Y) and independent variables, namely Tax Aggressiveness (X1), Deferred Tax Burden (X2), Debt Policy (X3). This research uses financial reports of companies listed on the Indonesia Stock Exchange (BEI) for the 2018-2022 period. The population in this study is 125 non-cyclical consumer companies listed on the Indonesia Stock Exchange in the 2018-2022 period. The sample selection technique used a purposive sampling method, the samples obtained were 34 companies with 170 observation data. The data source uses quantitative method secondary data. The analysis technique used is multiple linear regression with the help of the eviews 10 application program. Based on the test results, this research states that 1) Tax aggressiveness has no effect on company value, 2) Deferred tax burden has an effect on company value, 3) Debt policy has no effect on the value of the company.
Pengaruh Kebijakan Dividen, Kebijakan Utang dan Managerial Ownership terhadap Nilai Perusahaan
Authors: Mareta Hendrayanti Florensia Indah Budiati  , Fina Fitriyana
Published: September 2024

This research aims to determine the influence of dividend policy, debt policy and managerial ownership on company value in companies listed on the Indonesian Stock Exchange for the 2018-2022 period. Dividend Policy is measured by using DPR, Debt Policy is measured by using DER, Managerial Ownership is measured by the number of shares owned by the managerial paty (manager and directors) divided by the total outstanding shares. The population in this study is consumer non-cyclicals sector companies listed on the Indonesia Stock Exchange for the 2018-2022 period. The number of samples in this study was 6 with a 5-year obeservation method in the 2018-2022 period and the number of financial statements used as samples in this study amounted to 30. A population of 113 companies was obtained. Based on the purposive sampling method, a sample of 6 companies was obtained. The results of this research show that (1) Dividend policy has an effect on company value, (2) debt policy has an effect on company value, (3) managerial ownership has no effect on company value.
Pola Komunikasi Organisasi Alumni Syubanul Wathon (Aswa) Balapan dalam Meningkatkan Ukhuwah Islamiyah
Authors: Amelia Amelia , Chikmatul Masruroh  , Firdausin Nurul Milati  , Anaz Azhimi Qalban
Published: September 2024

Organizational communication patterns in the Aswa Balapan organization are related to the implementation of improving the intertwined ukhuwah islamiyah. This communication pattern is intended to understand that every organization must have its own communication pattern for the continuity of its members. So it is necessary to have the right communication pattern in Aswa Balapan. This study intends to examine the extent to which the communication patterns of the Aswa Balapan organization as an effort to increase the sense of ukhuwah islamiyah among members based on the analysis of the interactive model of the Miles and Huberman theory with descriptive qualitative methods and data collection techniques in the form of interviews, observation and documentation. The results of the study, namely, communication patterns in the Balapan Syubanul Wathon Alumni (Aswa) organization are supported by various types of communication patterns ranging from chain, circle, wheel, and total channel patterns. The existence of symbolic interaction and the right communication flow in Aswa Balapan through various activities, such as makrab, open together, competition workshop, Aswa Balapan bersholawat. Symbolic interaction also plays an important role in building ukhuwah islamiyah bonds among Aswa Balapan members.
Tatalaksana dan Pencegahan Pielonefritis Akut (Literature Review)
Authors: Ufairah Ariqah Heru  , Agustina Agustina
Published: September 2024

Acute pyelonephritis is a bacterial infection in the kidneys and should be suspected in patients with pelvic pain and laboratory evidence of urinary tract infection. (Herness et al., 2020). Incidence of acute pyelonephritis is rising worldwide (Nurislami et al., 2023), United States, occurrences of acutely occurring pyelonefritis as many as 250,000 visits (Herness et al., 2020). Acute pyelonephritis is defined as the presence of the following two conditions: (a) axial temperature of 38.3°C or shivering; (b) pelvic pain or pain with costovertebral angular pressure; and (c) mixional syndrome. (Umesha et al., 2018). Supportive examination is an evaluation of the upper bladder with an ultrasound. (Penta et al., 2020). Treatment can be done in hospital or on the street. Implementation of proper ambulatory care is performed in patients with pyelonephritis without complications who are able to tolerate oral antibiotics and have no clinical signs of sepsis (Herness et al., 2020). Patient education and improved self-management have been identified as an important element of treatment (Hudson & Mortimore, 2020). Seven articles were selected based on inclusion criteria, publication date from 2020 until now regarding acute pyelonephritis.
Pengaruh pembelajaran pendidikan jasmani menggunakan model TGFU terhadap disiplin diri siswa MTS Al-Musyawarah, Lembang
Authors: Ginanjar Shela , Julianti Eva
Published: September 2024

Penelitian ini mengungkap pengaruh model TGFU terhadap displin diri siswa di MTS Al-Musyawarah, Lembang. Penelitian ini adalah penelitian Eksperimen dengan desain Quasi-Eksperimen. Populasi dalam  penelitian  ini  adalah  siswa MTS Al-Musyawarah, Lembang yang berjumlah 312 siswa yang terdiri dari 13 kelas. Teknik pengambilan sampel adalah   dengan teknik purposive sampling. Sampel dalam penelitian ini berjumlah 24 siswa kelas 7 A yang belajar dengan model TGFU dan 7 C yang belajar dengan model konvensional. Instrumen yang digunakan adalah Self-Discipline Questionaire dari NEO-PI yang memiliki reliabilitas 0.85. Teknik Analisis data menggunakan uji ANOVA. Hasil penelitian menunjukkan nilai F 25.534 dan sig. 0.000. Ini menunjukkan bahwa pembelajaran pendidikan jasmani yang terencana dan terprogram dengan baik menggunakan model TGFU, memberikan hasil yang lebih signifikan terhadap peningkatan disiplin diri siswa di MTS Al-Musyawarah, Lembang.
Memperkuat keterampilan motorik anak usia dini melalui pengalaman eksplorasi aktivitas di luar ruangan
Authors: Aliriad Hilmy , S Adi , Saputro Deny Pradana , Fahmi Donny Anhar , Waskito Sigap Yogo
Published: September 2024

Aktivitas di luar ruangan memberikan berbagai rangsangan sensorik dan melibatkan gerakan tubuh yang lebih aktif dibandingkan dengan aktivitas di dalam ruangan. Tujuan dari penelitian ini adalah untuk menyelidiki efektivitas program bermain aktivitas di luar ruangan dalam meningkatkan keterampilan motorik pada anak kecil. Metode penelitian menggunakan metode eksperimen dengan desain one grup post pre-test. Populasi terdiri dari 25 siswa RA ICP Nurul Ulum Bojonegoro. Sampel diambil secara random sampling sebanyak 10 Siswa. Data akan dikumpulkan sebelum dan sesudah intervensi menggunakan instrument Test of Gross Motor Development Edisi Kedua (TGMD-2) oleh Dale A. Ulrich, PhD. Data dianalisis menggunakan perangkat lunak SPSS Versi 23. Hasil penelitian menunjukkan bahwa program tersebut berhasil memperkuat keterampilan motorik anak pada usia dini dan kemajuan dalam program kegiatan di luar ruangan. Hasil pretest dan posttest menunjukkan bahwa intervensi atau pelatihan berdampak signifikan terhadap keterampilan gerakan dasar. Simpulan, kegiatan di luar ruangan memperkaya perkembangan anak-anak melalui program permainan sekolah yang berfokus pada keterampilan motorik, sosial, dan kreatif. Saran peneliti selanjutnya dapat mengeksplorasi faktor-faktor yang mempengaruhi keberhasilan program aktivitas diluar ruangan dan memperluas metode penelitian yang digunakan.
Academic Filmmaking in the New Humanities
Authors: Gills Libertad , Grant Catherine , O'Leary Alan
Published: September 2024

The article provides an introduction to the first of a pair of special issues devoted to academic filmmaking, which, apart from this introduction, contains eleven prose articles. The article describes the variety of filmmaking practice in the academy, and some of the venues where examples of the practice are published or exhibited. It gestures at the multiple origins of academic filmmaking with special reference to the tradition of the essay film, and finds a key reflexive moment in Eric S. Faden’s (prose) “Manifesto for Critical Media” (2008), which articulated the challenge of using “image, voice, pacing, text, sound, music, montage, rhythm” to create scholarly audiovisual work. The introduction goes on to set out the aims for the special issues, and to describe the contents of the eleven articles in the first issue and some of the features, concerns or approaches shared between and across those contents. The eleven articles deal with themes raging from academic filmmaking as activism, to vulnerability and embodiment, to the challenges of production and publishing, and of institutional legitimization.
Optometrische Vision Therapy
Authors: Keller Katharina , Schulmeister Kristina
Published: September 2024

Purpose. Vision therapy in a 26-year-old female student with subjective vision impairment because of reduced flexibility of accommodation, esophoria, and lack of divergence. Material and Methods. Regular vision therapy based on a detailed training concept with training under optometric supervision and home exercises was performed over a period of twelve weeks. The baseline examination included history as well as analysis of the visual system with optometric function tests, refraction, and integrative analysis. The training progress was controlled biweekly. Results. The parameters that differed from the physiological norm data at baseline increased as follows: maximum amount of accommodation OD/OS from 6.7/7.7 D to 8.0/8.7 D; flexibility of accommodation monocular OD/OS from 6/6 to 13/12 turns per minute, binocular from 7 to 13 turns per minute; positive/negative relative accommodation from −0.75/+1.25 D to −1.75/+1.75 D; vergence ranges base in distance/near (break points) from 3/6 cm/m to 6/10 cm/m. Conclusion. All described parameters were improved after vision therapy. The accommodation flexibility and positive and negative accommodation were increased to the physiological norm range. The subjective complaints, such as headaches and rapid fatigue when reading, were eliminated by the training. Keywords: VISION THERAPY, CONSTANT ESOPHORIA, REDUCED ACCOMMODATION FLEXIBILITY, LACK OF DIVERGENCE
Strategi Pengembangan Rumah Bolon Sebagai Destinasi Wisata di Kecmatan Purba, Kabupaten Simalungun
Authors: Nainggolan Mai Fernando , Sembiring Surya Abadi , Tambunan Herlina Yolanda
Published: September 2024

The development of Rumah Bolon is faced with the lack of human resources who understand the importance of tourism awareness, lack of support to improve infrastructure and the development budget is still a major problem for the village community to develop tourism objects and make the village advanced to become a tourist village. The objectives of this research are 1) to know the management strategy for the development of Rumah Bolon as a tourist destination; 2) to know the development strategy of Rumah Bolon. The research methods used were questionnaires and FGDs which were then analysed using IFAS and EFAS and SWOT analysis. From the research findings, it is known that 1) the authenticity of Rumah Bolon; 2) the traditional social life of the community; 3) customs and traditions that are still maintained; 4) traditional ceremonies are still often held; and 5) the sacredness of the Bolon House area is a potential that can make Rumah Bolon a tourist destination. The IFAS and EFAS analysis shows a score of 2.07 for strengths, 1.78 for weaknesses and 1.40 for opportunities and 1.53 for threats. In the SWOT diagram, Rumah Bolon is positioned in Quadrant II. Diversification (x-axis 0.14 and y-axis -0.06) which means that Bolon House is in a position that has threats but still has strengths, to minimise these threats the strategy that can be used is the ST strategy.
Fenomen Polskiego Prawa
Authors: Bieniak Michał
Published: September 2024

Brak
Overcoming the inaccessible fortress
Authors:   , Gregori Alessandro
Published: September 2024

Pancreatic ductal adenocarcinoma (PDAC) is a devastating disease, with a poor survival rate
and limited therapeutic options. Additionally, the few chemotherapeutic drugs available
are often ineffective, due to innate or acquired resistance mechanisms that onset early
after administration.
In light of this, the primary objective of this dissertation was to shed light on mechanisms of
chemoresistance in pancreatic cancer, with the end goal of fostering novel therapeutics.
To this end a multidisciplinary approach was employed, combining pharmacology,
biophysics, molecular biology and bioinformatics.
Pro and Anti-Mutagenic Function of DNA Damage Tolerance in the Mammalian System
Authors:   , de Groot Daniël Cornelis
Published: September 2024

The origin of cancer lies in the genetic code (DNA) and in the cell's (in) ability to keep this error-free. Due to influences from both outside and inside the body, the genetic code of cells can be damaged, and many processes have evolved to repair this damage. Unfortunately, these processes can make mistakes, leaving mutations in the DNA. As the DNA acts as a blueprint (genes) for how the cells should operate and how the machinery of the cells should be made, these mutations can cause disruptions in this process. When mutations happen in genes that are responsible for regulating cell duplication, the cell can lose control of this process. This causes rapid division of these cells, often leading to more mistakes being made and further dysregulating cell division. Finally, this deregulated cell growth can lead to the formation of cancer.

Besides the prevention of DNA damage, the best way for a cell to avert turning cancerous is the accurate repair of the damage. The pathways responsible for this are complex, and many questions remain about their exact mode of operation, which proteins are involved, how they are initialized, processed, and what the consequences are. Knowing how these processes work will push forward our understanding of both basic biology, tumorigenesis and benefit cancer therapy with DNA damaging agents. Many of the classical chemotherapeutics work on the principle that tumor cells divide rapidly and that the DNA repair pathways are compromised. By introducing a high amount of DNA damage, these cells will not be able to repair the damage in time and die, while normal cells have more time and are better equipped to remove the damage. By gaining a better understanding of the repair processes, different specific inhibitors or types of damage can be applied to combat cancer more effectively.

In this thesis, we investigate a specific activity within the DNA damage response network that prevents the detrimental effect of DNA lesions predominantly during replication. This system, known as DNA damage tolerance (DDT) consists of several pathways. Instead of repairing the damage, DDT tolerates DNA lesions allowing cells to continue DNA replication in the presence of DNA lesions and repair the damage later. We used genetic manipulation to mutate and remove genes to prevent specific DDT pathways from functioning. By studying the consequences of the removal of these pathways on genomic, cellular, and organism levels, we aimed to gather mechanistic insights into the regulation and activities of these specific DDT pathways.
Embodied Cohesion
Authors:   , Parker David Chadwick
Published: September 2024

Social and political contexts, from nations to neighborhoods, are changing at an ever-increasing rate. A consistent societal challenge across these contexts is division along the lines of racial and ethnic differences. Conflicts, violence, and injustice often emerge from the social and political structures of race and ethnicity and impact the local churches that exist amidst these realities. This project addresses challenges faced by Christian communities in racially and ethnically diverse contexts by providing a practical theological framework for fostering racial and ethnic unity within local churches.
The research begins by analyzing the conceptual history of race and ethnicity within the social sciences where these concepts are widely regarded as social constructions. This analysis explores nuanced aspects of social constructionist theories that offer insights for a theological evaluation of racial and ethnic identities and the pursuit of cohesion in local churches. Specifically, it describes why and how race and ethnicity are embodied narratives.
The project then compares this social-scientific theory of race and ethnicity to James K.A. Smith's theological account of identity and culture. Smith provides a logic and grammar for discussing race and ethnicity in terms of discipleship. The embodied narratives that shape race and ethnicity are always intertwined with, and influence, the lived theologies of racial and ethnic actors and their communities. This reality is demonstrated through an examination of the historical relationship of the Western church to race and racism which includes the concept of "whiteness." The impact of race, ethnicity, and whiteness on the lived theology of Christian individuals and churches is then explored in dialogue with African American theologians Willie James Jennings, J. Kameron Carter, and Brian Bantum.
The project also describes the results of a Theological Action Research (TAR) process conducted at Oase voor Nieuw-West, an ethnically and racially diverse church in Amsterdam, the Netherlands. TAR involves the community in a qualitative research process; the project's author led an insider team from Oase in collecting data to assess cohesion within the community. The data collected and conclusions reached through the TAR process are compared to the social-scientific and theological theories presented in earlier chapters. The project concludes by incorporating insights from the TAR process into a proposed framework for fostering cohesion in racially and ethnically diverse congregations.
Efek Lapisan Batas (Boundary Layer) pada Skin Friction Drag
Authors: Purwadi Purwadi
Published: September 2024

Telah dilakukan  penelitian terhadap pengaruh lapisan batas (boundary layer)  terhadap koefisien Skin Friction Drag. Percobaan dilakukan  dengan cara mengalirkan variasi kecepatan aliran pada permukaan  pelat halus dan kasar, lalu dibandingkan bagaimana karakter lapisan batas dan kaitannya dengan koefisien Skin Friction Drag Cf. Masalah yang diteliti adalah bagaimana ketebalan lapisan batas terhadap variasi kecepatan aliran, besarnya perbedaan antara tebal lapisan teoritik dan real yang diukur, besarnya bilangan Reynold Re pada pelat pada jarak dari leading edge terhadap variasi kecepatan aliran serta bagaimana efek variasi kecepatan terhadap nilai Cf. Didapatkan bahwa tebal lapisan batas untuk pelat kasar memang lebih tebal dibandingkan dengan pelat halus.Variasi kecepatan  pada pelat halus dan kasar sama sama menunjukkan sifat aliran laminar dengan nilai Re dibawah 500000, sedangkan yang berkarakter turbulen ditemukan pelat halus  dengan kecepatan 30,98 m/s di titik 25 cm. Nilai Cf  cenderung menurun untuk kecepatan menaik untuk pelat halus dengan aliran laminar dan naik pada saat kecepatan 30,98 m/s. Sedangkan nilai Cf untuk pelat kasar mengalami penurunan juga untuk kecepatan naik hingga 30,98 m/s. Disarankan penelitian dilakukan dengan variasi kecepatan yang lebih tinggi dari 30,98 m/s untuk memahami perilaku Cf pada pelat halus dan kasar untuk kecepatan yang lebih tinggi terutama yang aliran termampatkan dengan kecepatan sekitar 100 m/s.
SEGMENTASI OBJEK BERBASIS KAMERA TERMAL MENGGUNAKAN DEEP LEARNING (PRE-TRAINED RESNET 34)
Authors: Laksono Muhammad Fauzan Anggi Fathul , Satyawan Arief Suryadi , Siswanti Sri Desy
Published: September 2024

Teknologi berkembang amat pesat berkembang di negara majemuk, diantara teknologi tersebut ialah kendaraan listrik tanpa intervensi manusia, kita lebih mengenal hal tersebut dengan kendaraan listrik otonom (KLO). Tujuan dari kendaraan listrik otonom ini untuk menekan kelalaian manusia pada saat berkendara, disamping itu mampu memberi kemudahan bagi pengemudinya berpergian tanpa perlu mengendarainya. Sebelum semua hal itu bisa beroperasi dengan baik, kendaraan listrik otonom tersebut membutuhkan skema pendeteksian yang bisa membedakan objek, metode segmentasi menggunakan sensor kamera termal yang didasarkan pada Deep Learning yang dilatih bersama kumpulan data yang diperlukan. Metode ini menggunakan Fully Convolutional Network (FCN) dengan model arsitektur Residual Network 34 (ResNet 34) yang berdimensi gambar sebesar 640x512 pixel sebagai ekstrasi fiturnya. Kelebihan ResNet 34 yaitu mampu melakukan training dataset cukup banyak meskipun hardware yang digunakan bukanlah yang paling mumpuni.
Rancangan sistem pendeteksian objek ini mempergunakan metode segmentasi semantik, Neural Network, dan Image Processing sebagai sinyal masukan yang berupa gambar, dan kamera termal FLIR yang di ibaratkan sebagai mata untuk kendaraan yang mana menerima sinyal masukan, prosedur awal hingga akhir diproses menggunakan Jetson AGX Xavier. Kemampuan dari segmentasi semantik diuji secara offline dengan 40216 frame gambar, terdapat tiga kategori yaitu, baik, cukup, serta kurang baik. Yang termasuk kategori baik sebanyak 23389 frame, 10706 frame merupakan kategori cukup, dan untuk kategori kurang baik terdapat 6120 frame. Hasil mean Intersection over Union (IoU) yang didapatkan pada saat penelitian ini sebesar 78,56%.
Perancangan Decoder 2 to 4 Menggunakan Metode Boolean dan K Map untuk Menunjang Praktikum Elektronika di Laboratorium Digital
Authors: Puspitasari Sukmawati , Amin M. Fatih
Published: September 2024

Decoder adalah alat yang membalikkan proses pengkodean sehingga data asli dapat dikenali. Decoder juga dapat diartikan sebagai sekumpulan logika yang berguna untuk menerima masukan biner kemudian mengaktifkan salah satu keluaran berdasarkan besar kecilnya nilai biner tersebut. Output dari decoder paling banyak 2n. Decoder 2 to 4 adalah decoder input 2 output 4. Input biner A dan B menentukan jalur output D0, D1, D2 dan D3. Decoder 2 to 4 merupakan suatu alat praktikum teknik digital berfungsi sebagai sarana yang mendukung proses pembelajaran dan Teknik digital di Laboratorium Digital Elektronika. Metode yang dapat digunakan untuk menganalisis tabel kebenaran decoder 2 to 4 adalah aljabar Boolean dan metode peta Karnaugh Map. Karnaugh map merupakan peralatan grafis yang dapat digunakan untuk menyederhanakan suatu persamaan logika atau dapat mengkonversikan sebuah tabel kebenaran menjadi sebuah rangkaian logika dan Aljabar Boolean merupakan sebuang percabangan ilmu aljabar yang mempelajari perhitungan khusus menggunakan angka 0 dan 1. Penggunaan metode ini adalah menyederhanakan tabel kebenaran untuk mendapatkan rangkaian logika sederhana yang menyusun peralatan tersebut. Hasil pengujian decoder 2 to 4 hasil perancangan dengan kombinasi IC SN 7404 dan IC SN 74HC00 diperoleh data yang sama dengan teori yang digunakan sebagai referensi perancangan decoder 2 to 4. Dengan dibuatnya alat ini dapat mendukung jalannya Pendidikan sehingga dapat mendukung kesiapan perang generasi ke-6.
Perancangan Alat Pengambil Selongsong Peluru yang Ergonomis Dengan Pendekatan Antropometri di Akademi Angkatan Udara
Authors: Usman Muhammad Wahyudi , Santoso Budi
Published: September 2024

Alat pengumpul selongsong peluru merupakan salah satu alat yang berfungsi untuk mengumpulkan selongsong peluru ketika latihan menembak telah dilaksanakan, secara efisien dengan waktu yang singkat. Melihat proses pengumpulan selongsong peluru yang masih menggunakan cara manual tanpa bantuan alat sehingga dapat menimbulkan kelelahan karena pengambilan selongsong peluru dilakukan dengan posisi bungkuk secara berulang kali. Maka dari itu dilakukan perancangan alat pengumpul selongsong peluru guna meningkatkan efektifitas dan efisiensi pada proses pengumpulan selongsong peluru. Pada proses perancangan alat pengumpul selongsong peluru perancang menggunakan metode antropometri dalam penyelesaian ataupun pembuatan dari alat tersebut yang dimana antropometri merupakan studi yang melakukan pengukuran terhadap tubuh manusia, dengan maksud agar pembuatan alat tersebut dapat sesuai dengan ukuran dan kondisi tubuh manusia yang akan menggunakan alat tersebut. Adapun hasil dari perancangan yang telah dibuat oleh dapat disimpulkan bahwa alat tersebut dapat membuat proses pengumpulan selongsong peluru lebih cepat serta efektif dan efisien dalam pengoprasiannya. Dengan menggunakan desain yang ergonomis para Taruna tidak lagi mengeluarkan tenaga yang besar dalam pengoprasiannya. Perancang juga menggunakan bahan yang ringan dan kuat agar alat tersebut tidak mengalami kendala keberatan pada saat pengoprasiannya dan dapat bertahan cukup lama dengan kondisi yang selalu berubah.
DAMPAK PENERAPAN FINANCIAL TECHNOLOGY (FIN TECH) TERHADAP EFISIENSI OPERASIONAL BANK
Authors: Donny Hartanto  , Muammar Khaddafi
Published: September 2024

Penelitian ini bertujuan untuk menganalisis dampak penerapan Financial Technology (FinTech) terhadap efisiensi operasional bank di Indonesia. Dalam beberapa tahun terakhir, perkembangan FinTech telah mengubah lanskap industri perbankan dengan menghadirkan inovasi dalam layanan keuangan seperti pembayaran digital, pinjaman online, dan investasi otomatis. Penelitian ini menggunakan metode kuantitatif dengan mengumpulkan data sekunder dari laporan keuangan tahunan bank yang terdaftar di Bursa Efek Indonesia (BEI) selama periode 2015-2020. Efisiensi operasional diukur menggunakan rasio biaya operasional terhadap pendapatan operasional (BOPO) dan rasio efisiensi biaya (CER). Analisis data dilakukan dengan menggunakan regresi linier berganda untuk menentukan pengaruh penerapan FinTech terhadap efisiensi operasional. Hasil penelitian menunjukkan bahwa penerapan FinTech memiliki pengaruh signifikan terhadap peningkatan efisiensi operasional bank. Bank yang mengadopsi teknologi FinTech cenderung menunjukkan penurunan rasio BOPO dan CER, yang mengindikasikan peningkatan efisiensi dalam operasional mereka. Selain itu, hasil analisis juga menunjukkan bahwa bank dengan investasi lebih besar dalam teknologi FinTech memiliki keuntungan kompetitif dalam hal efisiensi biaya dan kecepatan layanan. Penelitian ini memberikan kontribusi penting bagi literatur manajemen keuangan dengan menunjukkan bahwa adopsi FinTech dapat menjadi strategi efektif untuk meningkatkan efisiensi operasional bank. Implikasi praktis dari penelitian ini adalah bahwa manajer bank harus mempertimbangkan peningkatan investasi dalam teknologi FinTech untuk mencapai kinerja operasional yang lebih efisien dan kompetitif. Rekomendasi untuk penelitian selanjutnya adalah mengeksplorasi dampak spesifik dari berbagai jenis layanan FinTech terhadap aspek-aspek lain dari kinerja keuangan bank.
PERILAKU SHOPPERTAINMENT PADA PENJUAL DI E-COMMERS TIKTOK
Authors: Muslan  , Ashar Hasyim  , Tasya  , Nana Adriana Hutari
Published: September 2024

Perkembangan teknologi, khususnya internet, telah mengubah cara kita berinteraksi dan memperoleh informasi. TikTok menjadi salah satu platform yang digunakan @store.kdi untuk mempromosikan produk skincare dan fashion. Konten shoppertainment yang edukatif dan komedi dari @store.kdi banyak ditonton dan menghibur konsumen. Konsumen menyesuaikan dengan apa yang mereka cari pada unggahan TikTok @store.kdi, seperti penggunaan skincare, makeup, pakaian, dan aksesori. Penelitian ini bertujuan untuk mengetahui perilaku shoppertainment dan strategi pemasaran @store.kdi di TikTok. Pendekatan kualitatif digunakan melalui observasi, wawancara, dan dokumentasi, dengan analisis deskriptif kualitatif. Selama 4 bulan, data dianalisis menggunakan model AISAS. Hasil penelitian menunjukkan bahwa @store.kdi menggunakan konten kreatif dan informatif untuk menarik konsumen. Strategi AISAS efektif dalam menciptakan interaksi dan mempengaruhi perilaku pembelian.
Sentimental Analysis on Twitter: Insights from Supervised Learning
Authors: Rawal Ms. Purvi , Asirvatham Ms. Anisha
Published: September 2024

Sentimental analysis is use for analyzing the text so that it can determine theemotions what is in the message which can be positive, negative, or neutral. Social media platforms such as twitter, Instagram, Facebook, etc. where public opinions have been expressed a lot. Other sentimental analysis algorithms include the rules-based and hybrid approach for data processing. Sentiment algorithms are also analysed accordingly with in forms of text like sentences, It also contains relevantinterpretations through the information that was provided. In this study, a baseline model was first established, achieving an accuracy to serve as a comparison point for more sophisticated models. The Logistic Regression model outperformed the baseline significantly, demonstrating its effectiveness in accurately classifying sentiments. The Decision Tree Classification model, while an improvement over the baseline was less accurate than Logistic Regression, suggesting potential issues with overfitting and data dependency. The Random Forest Classification model provided a robust alternative, matching the performance of Logistic Regression and benefiting from the ensemble approach to handle diverse patterns in the sentiment data. Keywords: Sentimental analysis, Machine learning, supervised learning, twitter