bluuebunny/crossref_metadata_2025 huggingface dataset:
A Study of Black-Scholes-Merton Model
Authors: Lin Yichen , Qian Ruoyu , Yan Yihang
Published: August 2024

This study introduces the Option Pricing Theory improved by Black, Scholes, and Merton, which is also known as the Black-Scholes-Merton model, in detail and investigates its derivation process and historical development process. Despite the content above, it also includes its characteristics and mechanism. The newest Option Pricing formula proposed by Black, Scholes, and Merton was derived from mathematical methods such as the stochastic integral equation and Ito theorem. This essay concludes that the Black Scholes Merton model paved the way for the development and innovation of the subject of Financial Mathematics, which was found by the person who first came up with the Option Pricing Theory, which also contributes to the investment field to reduce the risk.
A General Review of Borderline Personality Disorder
Authors: Zhong Yangxian
Published: August 2024

Borderline Personality Disorder (BPD) is a pervasive psychological personality disorder that features affective instability, interpersonal dysfunction, and distorted self-concept, often leading to significant psychological distress and impaired functioning. This literature review synthesizes current research on the epidemiology, diagnosis controversies, symptomatology, etiology, and treatment of BPD. Notable findings indicate a high prevalence of BPD, with diagnostic challenges due to symptom overlap with other mental disorders. Etiologically, studies underlined the detrimental impact of childhood trauma and adverse family dynamics. Treatment modalities like Dialectical Behavior Therapy (DBT), Mentalization-Based Treatment (MBT), and Transference-Focused Psychotherapy (TFP) show efficacy in managing symptoms and improving function. This review highlights the complexity of BPD and the need for tailored therapeutic approaches to effectively address the multifaceted nature of the disorder.
Exploration of its Evolution, Implications, and Prospects within the Framework of Central Bank Digital Currency
Authors: Jiang Yubei
Published: August 2024

This paper discusses the multifaceted landscape of Central Bank Digital Currency (CBDC), examining its historical evolution, present implications, and prospects. Beginning with elucidating CBDC’s definition, the study underscores the importance of exploring its intricate dynamics. The evolutionary trajectory of CBDC is traced from its conceptual inception to critical milestones in its development, juxtaposed against traditional currency systems and cryptocurrencies. Furthermore, the paper analyzes the far-reaching implications of CBDC across economic, social, and international spheres. Economic ramifications encompass its impact on monetary policy and financial stability, while social implications touch upon issues of accessibility, inclusivity, and privacy. CBDC’s effects on global financial systems and cross-border transactions are scrutinized internationally. Subsequently, the study navigates the potential benefits and challenges inherent in CBDC adoption, emphasizing efficiency gains in payment systems and reductions in transaction costs, counterbalanced by technological hurdles and regulatory complexities. The prospect and potential scenarios surrounding CBDC adoption are also explored, including adoption trends, central bank roles, and stakeholder collaboration.
The Impact of Rising House Prices on Young People’s Fertility
Authors: Zhang Ziwenqi
Published: August 2024

At present, the problems of population aging and low fertility of young people in China have become more and more serious, which has become an important factor restricting economic and social development. Although the “comprehensive” policy has been implemented and has achieved certain effects, the willingness of young people to give birth is still low. At the same time, the rise of housing prices has become one of the major social and livelihood issues, and the impact of housing prices on people’s fertility intentions has also received widespread attention from scholars at home and abroad. Based on this, this study takes young people of childbearing age in China as the research object, adopts the research method to study the impact of rising housing prices on the fertility behaviour of young people in the city, and based on the conclusions drawn, puts forward targeted suggestions for the benign development of the real estate market and the effective implementation of the population policy.
Laying Hens Under Low Protein Diet: Fatty Liver Bleeding Syndrome Research
Authors: Xu Kangqi
Published: August 2024

The egg industry in China is currently confronted with significant challenges, including a scarcity of protein feedstock resources and nitrogen that contribute to pollution in animal husbandry. To address these issues, the adoption of low-protein diets for laying hens has gained traction and evolved over the years. Research in this area frequently utilizes standardized ileal digestible amino acids as a fundamental component in developing low-protein diets for laying hens. The primary objectives of these diets are decrease the consumption of protein feedstock, reduce farming expenses, and alleviate nitrogen emissions. This paper provides a concise overview of the theoretical framework behind low-protein diet technology and advancements in research on laying hens, with the intention of offering guidance for the implementation of low-protein feeds in egg production.
Innovation in Protein Therapy for Atherosclerosis——Application of ApoA1
Authors: Chen Zixiang
Published: August 2024

Atherosclerosis is still the basic cause of metabolic diseases, namely the adnormal lipid metabolism and cholesterol accumulation. As more and more in-depth clinical investigations are being conducted, modulation the high-density lipoprotein (HDL) pathway, particularly the ApoA1, has been particularly attracted attention. Until now, to use these biotechnological functions properly and in management of individuals still poses a challenge. This essay will range from the introduction and discussion on the working and significance of both ApoA1 mimetics and genetically engineered ApoA1, focusing majorly on their functions which involve in enhancing cholesterol efflux and providing anti-inflammatory benefits. Consequently, they as a whole play a role in improving cardiovascular health. The results suggest that novel therapies could just be the epiphany for atherosclerosis cure or reversal. The study delineates the emphasis on protein-based treatments as a move for the future in the management of cardiovascular diseases, which serves as the architecture of subsequent research. However, as time goes on, matching treatment by patients’ genetic and environmental considerations stays to be a roadblock. Next research is set to target unsuitable combinations and those effective and possible in different groups for the development of such strategies.
Comparative Analysis of Machine Learning Models and Key Risk Factors in Advancing Predictive Analytics for Coronary Heart Disease Over a Decade
Authors: Gao Jingyang
Published: August 2024

This study aimed to identify key risk factors for coronary heart disease (CHD) and assess the performance of various machine learning models in predicting 10-year CHD risk. We conducted an exploratory data analysis using data from the Framingham Heart Study, which included 4,238 participants and 15 potential risk factors, to understand the distribution of variables and relationships. We used Chi-square and Mann-Whitney U tests to identify significant associations between risk factors and coronary heart disease. Logistic regression, random forest and support vector machine (SVM) models were established and their prediction accuracy and area under receiver operating characteristic curve (AUC) were evaluated. The results showed that age, systolic blood pressure and history of hypertension were the most influential risk factors. Logistic regression accuracyand AUCwere the highest, better than random forest  and SVM. This indicates that we can pay more attention to such factors as age, systolic blood pressure and history of hypertension in subsequent CHD studies, and mainly use logistic regression model to predict coronary heart disease and optimize it.
Diagnose Breast Cancer Using Two Machine Learning Methods andComparing and Analyzing Them
Authors: Hou Chengjun
Published: August 2024

The breast cancer is currently the number one cancer in the world and has a high early treatment rate. Therefore, early screening and diagnosis of breast cancer is very important. Machine learning is very strong in analyzing and processing massive data. In this paper, we train and optimize decision tree and SVM models to identify malignant breast cancer and compare and analyze the performance of the two models. The accuracy of the earliest optimized models reaches about 98%, and it is found that the two models focus on different classification effects for the two samples, which can be further optimized by stacking and other ways. The dataset used to train the models in this paper is from the Wisconsin breast cancer database (WBCD), a benchmark dataset commonly used to compare different algorithms, which is of some significance for exploring the use of machine learning in the field of medical diagnosis.
The Impact of the Federal Reserve’s Interest Rate Hikes on U.S. Inflation Rate
Authors: Shi Peidong
Published: August 2024

The Federal Reserve’s interest rate hikes have a significant impact on domestic economic activities and monetary policies in the United States. Since March 2022, the Federal Reserve has raised interest rates multiple times to counter domestic inflationary pressures. In this article, data on the U.S. inflation rate and the federal benchmark interest rate from January 2010 to March 2024 were extracted, and an ARIMA model was used for analysis to predict how the U.S. inflation rate will develop under the condition of interest rate hikes. The study found that after the Federal Reserve raised interest rates, the inflation rate in the United States also rose. The reasons for this situation may be due to increased inflation expectations and external factors such as COVID-19. To mitigate risks brought by the rise in inflation, such as asset devaluation, commodity price volatility, and reduced investment returns, investors can adopt strategies like diversifying their investments, closely monitoring the Federal Reserve’s interest rate hikes, and avoiding high-leverage investments.
How does social media affect people’s consumer behavior in China? A quantitative model to reveal the relationships
Authors: Dai Jiatian
Published: August 2024

In today’s interconnected world, the widespread impact of social media on consumer behavior has become a focus of attention for researchers, marketers, and businesses. The rapid development of digital technology, coupled with the widespread adoption of social media platforms, has changed the way individuals interact with brands, make purchasing decisions, and navigate consumer patterns. This article attempts to explore the multifaceted relationship between social media and consumer behavior, delving into the complexity of this dynamic interaction. The author chose the consumer group size, consumers’ interaction, professional level of opinion leaders, and activity level of opinion leaders are selected as independent variables, perceived risk, and perceived value as mediating variables, and purchasing behavior as dependent variables. The theoretical model of this research is constructed, and 10 research hypotheses are proposed. Through a questionnaire survey, 100 valid data were collected. SPSSAU24 was used for descriptive statistics, reliability, validity, and factor analysis to verify the reliability of the data while a quantitative influence model will be constructed to illustrate the interactivity. The investigation yielded the following conclusion. First, the consumer group size, consumer interactivity level, professional level of opinion leaders, and the activity level of opinion leaders positively affect the perceived value. Second, the consumer group size, consumer interactivity level, professional level of opinion, and the activity level of opinion leaders negatively affect the perceived risk. Third, perceived value has a positive relationship with purchasing behavior. Fourth, perceived risk has a negative relationship with purchasing behavior.
Current status and perspectives of TMIGD2-targeted therapy in thyroid cancer
Authors: Zhao Kailin
Published: August 2024

In recent studies, TMIGD2 has found that it may play an important role in a new therapeutic target in the process of accurate tumor treatment. High expression of TMIGD2 in HCC and glioma cancer can be used as a potential therapeutic target, and some studies showed that the expression level of TMIGD2 in thyroid cancer tissue is also higher than that in normal thyroid tissue, and its expression level is correlated with the malignancy and poor prognosis of tumors. These more cutting-edge findings suggest that TMIGD2 may be used as a potential target for the treatment of thyroid cancer for precise treatment. This article will introduce the current situation and development trend of TMIGD2 in the clinical precision treatment of thyroid cancer.
Research on Marketing and Innovation Strategies of HEYTEA in the Overseas Market
Authors: Chen Juhao
Published: August 2024

Chinese tea culture has a long history, and on this basis, many Chinese merchants have made great achievements in product research and development and innovation. Nowadays, milk tea, a low-consumption drink, is popular all over the world. Among them, HEYTEA stands out, is well received by young groups in the Chinese market, and attracts a wide range of other consumer groups, HEYTEA has not only achieved great success in marketing, but its unique product positioning and innovative marketing strategy have also attracted many consumers.With the intensification of market competition and the trend of consumption upgrading in China, HEYTEA needs to explore new growth points. Therefore, the overseas market has become an important direction for HEYTEA’s development. This study aims to analyze HEYTEA’s marketing and innovation strategies to enter the overseas market and discusses HEYTEA’s corporate strategy. In the process, it analyzes different marketing and innovation strategies of HEYTEA in the overseas market by using macro-environment analysis tools, market segmentation, and other methods.This study also draws on the store experience of Starbucks and Blue Bottle to predict and determine HEYTEA ‘s development strategy and prospects in overseas markets, providing reference for other tea brands.
Research on Target Peptides and siRNA Delivery Systems in Lung Cancer Targeted Therapy
Authors: Ye Hongsen
Published: August 2024

With the development of gene silencing technology and siRNA, significant potential has been demonstrated in cancer treatment, garnering widespread attention. siRNA specifically targets and degrades certain mRNA, thereby inhibiting the expression of corresponding proteins. It has shown great promise in applications such as cancer, viral infections, and genetic diseases. However, the effective delivery of siRNA has been a major challenge for its clinical application. This paper focuses on discussing the mechanisms and advantages of siRNA delivery systems and introduces the current challenges and research issues faced by siRNA, such as the application mechanisms, dosage, and toxicity of targeted peptides and siRNA delivery systems.
The Utilization of Confucian Ideology by the Manchus during the Qing Dynasty
Authors: Tu Jiayan
Published: August 2024

despite resistance often through force. Arendt emphasizes its collective and context-dependent nature. Luke‘s third Dimension of Power underscores its influence on perceptions and preferences sometimes conflicting with individual interests. Li highlights cultural agreements‘ impact on public interest illustrating how culture shapes power distribution. This understanding underscores the importance of considering cultural context when analyzing power dynamics and structures. Building on that I define power as a cultural consensus on public interest and proper usage of its exercise involving both the exertion and perception of power. While these frameworks primarily stem from discussions within the European context it is important to acknowledge that power may vary in other regions such as Asian cultures. In this essay I aim to explore how these Western understandings of power can be applied to Asian cultures focusing specifically on the utilization of Confucian ideology by the Manchus during the Qing dynasty.
Machine Learning Analysis in the Field of Heart Disease
Authors: Zheng Qianjun
Published: August 2024

Machine learning (ML) has emerged as a transformative force in cardiovascular disease research, offering innovative approaches to prevention, diagnosis, and treatment. This report provides an overview of the current landscape of ML applications in cardiology, highlighting its potential to revolutionize the field. Key ML algorithms such as Support Vector Machine (SVM), Random Forests, Adaboost, XGBoost, and Convolutional Neural Networks (CNN) are discussed for their unique capabilities in handling complex cardiovascular data and improving disease prediction and risk stratification. Notably, the integration of feature selection techniques with ML algorithms enables the identification of biomarkers and clinical indicators, facilitating personalized care and targeted interventions. The potential of ML extends to early disease diagnosis, patient stratification, and the design of new therapeutic strategies, thereby transforming cardiology into a domain of precision medicine. While the advancements are promising, there is a pressing need for further research to enhance the interpretability, generalizability, and integration of ML models into real-world healthcare settings. Collaborative efforts between ML experts, healthcare providers, and policymakers are essential to address regulatory, ethical, and privacy concerns and to fully harness the capabilities of ML in cardiovascular medicine.
A Review of Deep Learning Based Video Action Recognition Techniques
Authors: Zhu Mingyuan
Published: August 2024

Video action recognition is an important research direction in the field of computer vision and pattern recognition, with extensive applications in intelligent video surveillance, human-computer interaction, and sports analysis. The development of data storage and computing hardware over the past decade has driven a shift from traditional feature extraction and machine learning algorithms to deep learning-based approaches. This paper reviews the current state of development, problems, and future research directions of video action recognition techniques. Traditional methods are gradually being replaced by deep learning methods such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long-short-term memory networks (LSTMs). These methods automatically extract features and handle time-dependency, significantly improving the accuracy and robustness of action recognition. In particular, models based on the attention mechanism further enhance action recognition performance by dynamically adjusting the focus of attention, a current hot spot in research. Despite many advances, video action recognition still faces several challenges, including high computational resource requirements, complex model training, dataset bias issues, and variations in real-world application scenarios such as viewpoint changes, lighting changes, and occlusion. Future research can explore multi-modal fusion, lightweight models, self-supervised learning, and cross-domain transfer learning to improve the accuracy, robustness, and generalization of action recognition. The review provided aims to offer researchers a comprehensive perspective on the current state of development and future research directions of video action recognition technology.
Hotel review analysis based on LDA model and KeyBert model
Authors: Zhang Jizhao
Published: August 2024

The popularity of Internet applications and the continuous advancement of technology have made it easier for people to choose hotels. More and more people not only tend to book hotels through travel websites or software but also leave online reviews during their stay or after leaving the hotel. Almost all online bookers will carefully refer to reviews from previous customers of different hotels before making an order and then making a choice. In the past few years, many language models in the fields of machine learning and artificial intelligence have been widely used to analyze various texts. For reviews in areas such as hotels, most studies focus on sentiment analysis, that is, analyzing whether the sentiment in the reviews is positive or negative. Most previous studies used the LDA model to divide the topic words in the reviews or the KeyBert model to extract keywords from the text and compare and analyze them with other models. Some of these studies also used the hotel dataset compiled by Tan Songbo for analysis. Based on the theories of previous studies, this study uses the LDA model to extract and analyze different topic words of hotel reviews based on the hotel review data set compiled by Professor Tan Songbo to find out the advantages and disadvantages of the hotel. This study also uses the KeyBert model to extract the number of occurrences of specific keywords estimate the number of repeat customers by analyzing the keywords in the positive reviews, and estimate the number of non-target customer groups based on the keywords in the negative reviews. The research results are of great significance to the management and marketing decisions of the hotel, and can also provide better help to the hotel’s booker.
Retinal Prostheses: Basic Introduction, Current Technology Investigate and Future Outlooks
Authors: Zhang Yaxin , Chang Bohan , Zhu Haoyu
Published: August 2024

This passage would briefly introduce the Retinal Implant technology from three aspects: System, structure and signal processing of the Retinal implantation, reviewing on several existing specific example in the market, also comparing and contrasting them and making possible suggestions of future developing pathways.
How important is the role of the internet in influencing college students’ consumption patterns in China?
Authors: Xiang Yuxin
Published: August 2024

In recent years, the proportion of Chinese teenagers in online shopping has gradually increased, and more and more college students and even high school and junior high school students will choose online shopping. This study collected the consumption patterns of college students and the use of online credit through questionnaires and provided effective strategies for constructing harmonious consumption patterns and concepts.
Antimatter and its Application
Authors: Lian Xu , Yue Caiting
Published: August 2024

The conjecture of Antimatter was first proposed by Schuster in 1889. In 1928, Dirac and others gave theoretical predictions in the equation. After four years, Anderson formally observed antiparticles through experiments.  In this paper, we review the antimatter universe model, and sort out the origin of baryons and the matter-antimatter asymmetry. We also outline the main research directions in the field of antimatter, such as matter-antimatter symmetry violation and antimatter inside protons. For those unsolved issues, especially like the ratio of matter to antimatter in the universe, the baryon generation model, the gravitational behavior of antimatter is also summarized. In terms of practical applications, we have summarized some technologies related to antimatter, mainly applied as PET and CT (positron emission tomography and computer tomography), etc.
Exploring the Benefits of Diversity in Education: Implications and Strategies for a Globalized Society
Authors: Wang Yuhan
Published: August 2024

Diversity, recognized as a symbol of modernization, plays a crucial role in shaping societal progress. Educational institutions are key players in preparing future generations to become open-minded individuals who embrace global citizenship. However, increased interaction among diverse individuals in modern society demands a greater understanding of differences, as the lack of inclusion can lead to confrontation and violence. This necessitates the need for education to foster inclusion and reduce conflicts. Drawing on existing research in the field of diversity in educational settings, this paper identifies three main types of diversity: structural, curriculum, and interactional diversity. By examining these dimensions, we can gain a comprehensive understanding of diversity’s implications. Exposing students to diversity fosters empathy and respect for different viewpoints, equipping them with critical thinking skills that challenge preconceived notions. Furthermore, this paper provides valuable guidance for educators and policymakers in developing strategies to achieve diversity, equity, and inclusion.
Understanding Mental Health and Mental Illness: Social Anxiety Disorder (SAD)
Authors: Hou Jialin
Published: August 2024

This article aims to present researchers’ understanding of social anxiety disorder by reviewing the existing academic literature and conducting a multi-faceted review of the research literature on social anxiety disorder in the past century and modern times. The content first includes how researchers define social anxiety disorder and the importance of understanding social anxiety disorder research. Secondly, this article explores how modern literature identifies the characteristics, descriptions, and symptoms of social anxiety disorder. Finally, the author will also explain the current impact of social anxiety disorder on individuals and society, as well as the various current medical treatment options. The focus of this article will be primarily on understanding social anxiety disorder, a mental health disorder that is of great relevance to modern people and providing an overview of the various aspects of this mental illness. The research can have a positive influence on the practice and research of social anxiety disorder in many aspects. For example, this article can guide clinical practice and provide more effective treatment methods for patients with social anxiety disorder. Secondly, this article comprehensively reviews the existing literature. The review helps researchers understand the shortcomings of current research and inspires future research. Finally, the research content also uplifts public awareness of mental illnesses such as social anxiety disorder, making people pay more attention to mental health issues.
Por qué convertir maestros de escuela en doctores en educación
Authors: Echeverri-Álvarez Juan Carlos
Published: August 2024

Se presenta la propuesta de un doctorado en educación cuyos aspirantes son, en porcentaje creciente, maestros de la básica y la media. Con este aumento la pregunta es por la pertinencia de convertir maestros de escuela en doctores en educación. El Programa muestra la necesidad de empoderar a la pedagogía como un saber práctico que no solo reflexiona la enseñanza, sino que dice verdad sobre los niños en la cotidianidad escolar, y actúa en relación con esa verdad enunciada; Además, muestra que ello puede hacerse con maestros doctores y doctores maestros, esto es, maestros en ejercicio que adquieren el gesto productor de conocimiento, y profesionales de otras ciencias que obtienen identidad pedagógica. Se concluye, sin embargo, que este empoderamiento de la pedagogía por vía de la formación doctoral solo es posible si se formulan políticas publicas educativas que les otorgue a los doctores una posición efectiva en la escuela.
Musik Dangdut Sebagai Representasi Selera Rendah di Kalangan Mahasiswa Kedokteran Universitas Udayana
Authors: Samuel Joan Christoper , Kamajaya Gede , Mahadewi Ni Made Anggita Sastri
Published: August 2024

The study aims to present and analyze the phenomenon of Dangdut music as a representation of low taste among Udayana University medical students. The method used in this study is a qualitative approach with descriptive type. Theory used as a surgical knife to analyze this phenomenon is a distinguishing theory of Pierre Bourdieu. The results of this study revealed that Dangdut music is considered a representation of low taste among Udayana University medical students. Dangdut music is considered to no longer display music as a work of art, but only sells sexy looks from its singers. Dangdut music listeners are mostly middle class society down, and also the themes and lyrics contained in Dangdut music are not relate to the life of medical students as middle class and upper class. In addition, the custom of medical students of Udayana University who generally listen to western music, so making them gap Dangdut music is not a music that is worth listening to. It is indirectly also a form of exclusivity from Udayana University medical students who consider Dangdut as a low-taste music and not a type of music suitable for them.
Abstrak
Penelitian ini bertujuan untuk memaparkan dan menganalisis mengenai fenomena musik Dangdut sebagai representasi selera rendah di kalangan mahasiswa kedokteran Universitas Udayana. Metode yang digunakan dalam penelitian ini adalah pendekatan kualitatif dengan jenis deskriptif. Teori yang digunakan sebagai pisau bedah untuk menganalisis fenomena ini merupakan teori distingsi dari Pierre Bourdieu. Hasil penelitian ini mengungkapkan bahwa musik Dangdut dianggap sebagai representasi selera rendah di kalangan mahasiswa kedokteran Universitas Udayana. Musik Dangdut dianggap sudah tidak lagi menampilkan musik sebagai karya seni, melainkan hanya menjual tampilan seksi dari para penyanyi nya. Pendengar musik Dangdut kebanyakan merupakan masyarakat kelas menengah kebawah, dan juga tema-tema maupun lirik yang terdapat dalam musik Dangdut tidaklah relate dengan kehidupan mahasiswa kedokteran sebagai masyarakat golongan menengah keatas. Selain itu, kebiasaan dari mahasiswa kedokteran Universitas Udayana yang umumnya selalu mendengarkan musik-musik barat, sehingga menjadikan mereka menggap musik Dangdut bukanlah musik yang pantas untuk mereka dengarkan. Hal ini secara tidak langsung juga merupakan bentuk eksklusivitas dari mahasiswa kedokteran Universitas Udayana yang menganggap Dangdut sebagai musik dengan selera rendah dan bukan merupakan jenis musik yang cocok untuk mereka.
Kata Kunci: musik Dangdut, selera rendah, eksklusivitas
Random Video Call and Chat Application Using Web RTC and Firebase Based on Mobile
Authors: Tengku Luthfi Davyan  , Leni Marlina  , Abdul Khaliq
Published: August 2024

Humans as social beings, require communication and interaction. Communication technology found in smartphones plays a crucial role in accelerating access to social media. However, traditional social media often only provides written and asynchronous communication, which can reduce the motivation to participate. This research aims to develop a mobile application that integrates video call and random chat features using WebRTC and Firebase technology. The research method includes developing the application using React Native as the framework, Firebase for real-time database management and authentication, and WebRTC for handling real-time video communication. The research results show that the developed application can provide optimal performance in terms of latency and video call quality, as well as functional login, registration, chat, and video call features. This application opens the door to more direct, interactive, and natural human engagement by offering a more spontaneous and unpredictable meeting experience. The conclusion of this research is that integrating WebRTC and Firebase in the development of video call and random chat applications can provide an efficient and enjoyable communication experience for users.Application
Sosialisasi Pengolahan Limbah Tanaman Padi untuk Meningkatkan Ekonomi di Desa Sajau Hilir
Authors: Sulaiman Dady , Ulva Siti Maria , Sari Ayu Lingga Ratna , Syahdan St , Arif Abdul , Aisyah Siti
Published: August 2024

Desa Sajau Hilir merupakan merupakan salah satu daerah yang menghasilkan padi setiap tahunnya. Tanaman padi menghasilkan limbah yang sangat berlimpah setiap waktu panen. Oleh karena itu, diperlukan beberapa inovasi dalam mengatasi limbah ini hingga menjadi produk yang memiliki nilai jual. Metode yang digunakan dalam kegiatan ini adalah sosialisasi dan pembekalan materi. Tahapan dari kegiatan ini yaitu presentasi materi dan diskusi. Tujuan dari kegiatan ini adalah memberikan pengetahuan kepada masyarakat di desa Sajau Hilir dalam mengolah limbah tanaman padi untuk meningkatkan ekonomi. Limbah tanaman padi terdiri dari batang, dedak, bekatul, daun, sekam dan jerami. Limbah – limbah ini jika diolah dengan optimal dapat menjadi produk yang memiliki nilai jual seperti pupuk, bahan baku bangunan dan bahan bakar alternatif. Kegiatan ini berjalan dengan baik dan mendapatkan respon yang baik dari masyarakat sekitar.
Pemberdayaan Ibu Rumah Tangga Melalui Tanaman Obat Keluarga (TOGA) Desa Pimping Tanjung Palas Utara
Authors: Pangerang Fitrah , Rusyanti Nila , Singal Rachel Zandra , Christyanti Ratna Dwi
Published: August 2024

Desa Pimping merupakan salah satu desa di Kecamatan Tanjung Palas Utara Kabupaten Bulungan. Umumnya masyarakat di wilayah tersebut masih memiliki lahan pekarangan yang cukup luas, sehingga pemanfaatan dan pengelolaan lingkungan dapat dioptimalkan dengan penanaman TOGA. Berdasarkan observasi di lapangan diketahui bahwa beberapa ibu rumah tangga telah menanam TOGA, namun demikian jumlah TOGA yang ditanam jumlahnya terbatas. Sebagian dari mereka telah mengetahui khasiat TOGA dan secara teknis juga telah mampu mengolah TOGA, namun demikian mereka belum memahami khasiat TOGA secara ilmiah, sehingga dilakukan  pelatihan tentang khasiat TOGA secara ilmiah. Masyarakat yang telah memiliki pengetahuan tentang khasiat TOGA dan menguasai cara pengolahannya dapat membudidayakan tanaman obat secara individual dan memanfaatkannya sehingga akan terwujud prinsip kemandirian dalam pengobatan keluarga. Selain itu juga dapat dikembangkan menjadi usaha kecil dan menengah di bidang obat-obatan herbal, yang selanjutnya dapat disalurkan ke masyarakat.
Pemanfaatan Limbah Buah Dan Sayur Melalui Pembuatan Eco-Enzyme Guna Meningkatkan Kelestarian Lingkungan Tanjung Palas
Authors: Pangerang Fitrah , Lesmana Rina , Aisyah Siti , Muazansyah Imam
Published: August 2024

Masyarakat Kecamatan Tanjung Palas telah memilah sampah namun belum melakukan pengolahan sampah. Sampah menjadi salah satu masalah terhadap lingkungan, pengolahannya yang tidak tepat menyebabkan penumpukan dan sumber penyakit, dan tentu saja mengganggu pemandangan. Sampah organik bisa dikatakan sampah ramah lingkungan bahkan sampah bisa diolah kembali menjadi suatu yang bermanfaat bila dikelola dengan tepat. Pengolahan sampah organik bisa menuntaskan permasalahan sampah yang pada akhirnya dapat mendukung tercapainya kondisi lingkungan yang sehat, bersih dan nyaman. Cara pengolahan sampah dapat direalisasikan melalui pembuatan eco-enzyme yang dapat membantu pertumbuhan tanaman organik, membersihkan saluran, menjernihkan air, mengurangi sampah, dan sebagai sabun pencuci piring. Tujuan pengabdian ini untuk meningkatkan swadaya masyarakat dalam pengelolaan sampah dengan mentransfer pengetahuan dan teknologi pengolahan sampah organik menjadi eco-enzyme, sehingga masyarakat dapat berperan serta dalam menjaga kelestarian bumi.
Solusi Penggunaan Mesin Tepat Guna Dalam Upaya Meningkatkan Produktivitas UKM
Authors: Suhartoyo  , Kristiawan Y Yulianto
Published: August 2024

Faktor-faktor yang membuat UKM kurang berperan dalam mendukung pertumbuhan ekonomi antara lain masih rendahnya kapasitas produksi, masih rendahnya kualitas sumber daya manusia, masih tingginya biaya pemasaran, permasalahan permodalan, informasi, pengetahuan, dan keahlian, penggunaan teknologi. Elemen kunci keberhasilan usaha kecil adalah keterampilan pemasaran dan keterampilan inovasi produk. Kemampuan untuk belajar dari keberhasilan dan kegagalan masa lalu. Solusi yang diberikan adalah teknologi tepat guna. Harapannya, sedikit adopsi teknologi yang tepat akan meningkatkan pendapatan dan efisiensi bagi usaha kecil dan menengah. Mesin penghancur pakan ternak, penghancur dan pencampur pakan ternak sangat dibutuhkan oleh para peternak. Rumput dan daun hijau lainnya dipotong dengan mesin pemotong yang digerakkan oleh mesin dan dilengkapi dengan mata pisau pemotong. Setelah dipotong, dimasukkan ke dalam grinding mixer dan dicampur dengan bahan lain untuk memenuhi kebutuhan nutrisi sapi. Tentu saja, menggunakan mesin akan menghasilkan potongan yang lebih rata sehingga menghasilkan campuran pakan yang lebih merata dan seimbang. Mesin penjojoh sangat berguna untuk usaha yang bergerak di bidang pembuatan karak. Menggunakan penjojoh digunakan untuk melumatkan adonan gendar karak. Penggunaan mesin penjojoh lebih efektif karena menggunakan mesin untuk membuat tumbukan lebih halus dan pulen. Oleh karena itu, sangat penting untuk berupaya meningkatkan produktivitas dan efisiensi usaha kecil dan menengah.
Pemanfaatan Limbah Buah dan Sayur Melalui Eco-Enzyme Untuk Melestarikan Lingkungan Masyarakat Tanjung Buka
Authors: Arifah Fatmatul , Dzulfikriyanti Aini , Paresta Gafriella , Alhari Refinaldi , Uluy Heri , Lesmana Rina
Published: August 2024

Sampah organik berasal dari sisa-sisa makhluk hidup dan dapat terurai secara alami. Ada dua jenis sampah organik: basah dan kering. Meskipun sulit diolah kembali, sampah organik memiliki potensi besar sebagai sumber penghasilan jika dikelola dengan bijaksana. Salah satu metode pengolahan yang bisa dilakukan di rumah tangga adalah pembuatan eco-enzim. Eco-enzim, cairan multifungsi, dibuat dari fermentasi limbah organik, gula merah, dan air. Pembuatan eco-enzim dapat membantu menyuburkan tanah, memurnikan air, dan memiliki efek antiseptik. Di UPT SP 6B Tanjung Buka, telah dilakukan kegiatan pengabdian kepada masyarakat untuk mengajarkan cara mengolah sampah organik menjadi eco-enzim. Tahapan kegiatan mencakup pembuatan sampel eco-enzim oleh tim pengabdian serta penyuluhan dan demonstrasi kepada masyarakat. Melalui kegiatan ini, diharapkan masyarakat dapat lebih aktif dalam mengelola sampah organik dan turut serta dalam menjaga kelestarian lingkungan.
Sosialisasi Pemanfaatan Limbah Jerami Padi di Desa Sajau Hilir
Authors: Syahdan St , Arif Abdul , Christyanti Ratna Dwi , Sari Ayu Lingga Ratna , Ulva Siti Maria , Sulaiman Dady
Published: August 2024

Desa Sajau Hilir merupakan salah satu kawasan lahan sentra pertanian padi di Provinsi Kalimantan Utara dengan luas 300 Ha. Lahan tersebut ditanami varietas padi Cimelati label kuning yang termasuk salah satu bibit unggul yang memungkinkan beberapa kali proses tanam. Oleh karena itu dengan hasil panen yang besar maka akan besar pula limbah dari tanaman padi yang dihasilkan. Salah satu limbah padi yang masih terus menjadi permasalahan dalam pengolahannya adalah limbah jerami padi. Permasalahan yang dihadapi oleh masyarakat desa Sajau Hilir adalah limbah jerami padi yang dihasilkan dari proses panen hanya ditumpuk begitu saja di sawah atau dibakar, hal ini disebabkan karena keterbatasan pengetahuan dan keterampilan untuk memproses jerami padi untuk dijadikan produk yang bermanfaat dan memiliki nilai ekonomi. Metode dalam kegiatan ini sosialisasi dengan memberikan materi dalam bentuk presentasi dan diskusi. Tujuan dari kegiatan ini adalah untuk memberikan pengetahuan kepada masyarakat desa Sajau Hilir dalam mengolah limbah jerami padi menjadi produk yang bermanfaat serta memiliki nilai ekonomi.
Sağlık Kurumlarında Çalışan Çocuk Gelişimcilerin Mevcut Durumu, Sorunları ve Çözüm Önerilerine İlişkin Görüşleri
Authors: Yalcin Hatice , Özadır Edanur
Published: August 2024

Bu araştırmanın temel amacı; sağlık kurumlarında çalışan çocuk gelişimi uzmanlarının mevcut duruma, sorunlara ve çözüm önerilerine ilişkin görüşlerinin incelenmesidir. Araştırmada nitel araştırma modeli uygulanmıştır. Araştırmanın evrenini Türkiye genelindeki sağlık kurumlarında görev yapan çocuk gelişimi uzmanları oluşturmaktadır. Çalışma grubunun belirlenmesi amacıyla farklı illerdeki sağlık kurumlarında görev yapan çocuk gelişimi uzmanlarına dijital ortamda ulaşılmıştır. Katılımcılara araştırmanın kapsamı ve içeriği hakkında detaylı bilgi verilmiş ve veriler araştırmaya katılmaya gönüllü olan çocuk gelişimi uzmanlarından elde edilmiştir. Veri toplama aracı olarak “Demografik Bilgi Formu” ile uzman görüşleri alınarak oluşturulan “Yarı Yapılandırılmış Görüşme Formu” kullanılmıştır. Katılımcıların görüşlerinden ortaya çıkan temalar tablolaştırılarak literatürle desteklenmiştir. Elde edilen nitel verileri düzenlemek, görselleştirmek ve analiz etmek için MaxQda 20 kullanılmıştır. Çalışma grubundaki kişilerin büyük çoğunluğu Çocuk Gelişimi Polikliniğinde çalışmaktadır. Çocukların gelişimsel değerlendirilmesinde en sık Denver-II, AGTE ve Metropolitan testleri uygulanmaktadır. Elde edilen verilere göre; çocuk gelişimi profesyonellerinin en sık yaşadığı sorunların; çocuk gelişimi mesleğinin bilinmemesi, açık öğretimden kaynaklanan kalite sorunu, fiziki imkânların yetersizliği, görev tanımının belirsiz olması, hastaların doğrudan Çocuk Gelişmi Polikliniğinden randevu alamaması olduğu belirlenmiştir. Çalışmanın sonunda, meslekte hizmet kalitesini artırmak için çeşitli önerilerde bulunulmuştur. Bu öneriler arasında mesleki standartların oluşturulması, meslek hakkında toplumsal farkındalığın artırılması, meslekte birlik sağlanması ve fiziksel koşulların iyileştirilmesi yer almaktadır.
Achieving Housing Affordability in the U.S. through Sustained Use of AI and Robotic Process Automation for Prefabricated Modular Construction
Authors: Akintayo Philips Akinola  , Bharadwaj Thuraka  , Similoluwa Blossom Adesuwa Okpeseyi
Published: August 2024

The rising housing issues occasioned by high costs in the United States (US) are traceable to the high costs of building materials and construction. This study proposes the combined leveraging of AI and Robotic Process Automation (RPA) for prefabricated modular construction as a strategic means of reducing high costs of housing and increasing efficiency in construction. It argues that doing so would pave way for housing affordability in the US. Deploying descriptive survey and qualitative method alongside the applicable interpretive and descriptive techniques, the study demonstrates in the course of its analysis that AI and RPA are viable means of reducing costs of construction and housing, and increasing efficiency. It submits that amidst the established constraints to the ideal extent of leveraging AI for construction activities, the leveraging of AI and RPA for prefabricated modular construction yields huge positive results among which are reduced costs of construction and housing and increased efficiency in construction. Government and construction organizations are charged to play enabling roles in the adoption and sustainability of AI and RPA in construction activities, including prefabricated modular construction, so as to achieve reduced costs of housing and increase efficiency in construction.
Assessment of Relationship Between Planning of Time Resources and Quality of Education in Secondary Schools in Kaduna State, Nigeria
Authors: Suleiman, Ramatu Ibrahim
Published: August 2024

This study assessed the effectiveness of planning on quality of education in secondary schools in Kaduna State, Nigeria. The purpose of the study was to appraise the effectiveness of planning on the quality of education in secondary schools in Kaduna State, Nigeria. The population of the study was 616 while the sample size was 248. The instrument used was a questionnaire, which was validated and found to be reliable. Data analysis methods were descriptive and inferential statistics. Pearson Product Moment Correlation (PPMC) was used to test the null hypotheses at 0.05 level of significance. All the five hypotheses were rejected. The findings of the study revealed, among other things, that there is a significant relationship between planning of curriculum and quality education in secondary schools in Kaduna State. It was recommended, among others, that the curriculum should be effectively planned to enhance quality education in secondary schools in Kaduna State.
Música, tecnología y hegemonía: César Bolaños y las transgresiones de la música popular
Authors: Alvarado Manrique Luis Alberto
Published: August 2024

El siguiente texto aborda algunas ideas del compositor César Bolaños, vertidas en una entrevista y un artículo de mediados de los 70 y principios de los 80, respectivamente, que ofrecen algunas claves para entender la oposición de Bolaños a un modelo hegemónico del uso de la tecnología en la creación musical. Esto permite abrir otra perspectiva para la comprensión de su alejamiento de la composición musical en la década del 70 luego de retornar al Perú tras diez años de vivir en Argentina, como del desarrollo de la música con medios electrónicos en el Perú.
PENGGUNAAN MEDIA VISUAL UNTUK PENGENALAN KOSA KATA BAKU PADA ANAK-ANAK USIA SEKOLAH DASAR DI DESA BOLIHUANGGA
Authors: Meiarni Ita , Irawati Wa Ode , Mamonto Mutiara , Maliki Puput , Rahman Nella Putri , Ajadah Warda H. , Halim Aulia
Published: August 2024

Bahasa baku merupakan salah satu ragam bahasa yang dapat dijadikan standar untuk kepentingan nasional, seperti pendidikan atau acara resmi kenegaraan lainnya. Bahasa baku  menjadi salah satu pokok pembelajaran pada setiap jenjang pendidikan. Metode yang digunakan dalam pengabdian ini adalah metode deskriptif kualitatif.  Tujuan pengabdian ini adalah untuk membantu anak-anak dalam mengenal kosakata baku, meningkatkan pemahaman anak dalam membedakan kosakata baku dan tidak baku, dan membangun kolaborasi dengan berbagai pihak. Media visual dibuat oleh tim pengabdi dengan tujuan untuk mempermudah pengenalan kosakata baku dan tidak baku kepada anak-anak usia sekolah dasar di Desa Bolihuangga.  Berdasarkan kegiatan pengabdian kepada masyarakat yang telah dilakukan, terlihat bahwa pemahaman terkait bahasa baku dan tidak baku bagi anak-anak usia sekolah dasar, khususnya di Desa Bolihuangga masih rendah. Hal ini terlihat pada wajah anak-anak yang tampak bingung ketika mendengar istilah baku dan tidak baku. Namun, setelah dijelaskan dan ditunjukkan beberapa perbedaan antara bahasa baku dan tidak baku oleh tim pengabdi, terlihat beberapa anak sudah mulai antusias untuk menjawab setiap tebak-tebakan yang disampaikan oleh tim pengabdi.
PELATIHAN DASAR PENGOLAHAN DAN ANALISIS DATA MENGGUNAKAN SPSS
Authors: Muthiah Hanifah , Hamidah Nur Khusnul
Published: August 2024

Kemampuan menganalisis data menjadi sangat penting dan diperlukan untuk mahasiswa dalam meningkatkan kemampuan menyusun penelitian tugas akhir. Kegiatan pelatihan untuk memotivasi mahasiswa agar secara maksimal dapat menguasai penggunaan SPSS. Tahap awal praktik pelatihan pengolahan dan analisis data dilakukan dengan mempersiapkan modul praktikum. Tahap pelaksanaan dimulai dengan pengenalan dan penggunaan fitur yang tersedia pada SPSS, input data, dan analisis tahap awal, yaitu analisis korelasi dan regresi sederhana. Tahap akhir, dilakukan posttest dan meminta umpan balik untuk mengetahui efektifitas dari hasil praktik peserta pelatihan yang dapat dijadikan acuan kedepannya dalam melaksanakan kegiatan serupa ataupun lanjutan (tahap 2). Posttest menunjukan kemampuan beberapa mahasiswa cukup baik, sehingga dapat disimpulkan masih terdapat kesulitan mahasiswa dalam melakukan proses pengoperasian SPSS, namun pada umpan balik mahasiswa merasa sangat tertarik dan termotivasi mempelajari lebih dalam mengenai pengolahan dan analisis data menggunakan SPSS, sehingga kedepannya perlu dilakukan pelatihan lanjutan agar mendapatkan hasil yang semakin maksimal.