bluuebunny/crossref_metadata_2025 huggingface dataset:
Provenance variation in pod and seed characteristics of Albizia chinensis (Osbeck ) in western Himalaya
Authors: Dhanai C. , Uniyal A. , Todaria N.
Published: November 2024

Provenance study of Albizia chinensis (Osbeck) Merr. was undertaken to identify suitable seed source for production of quality seedlings for mass afforestation in agroforestry systems in Central Himalaya. Significant variations were recorded among 13 population for pod and seed morphology. Altitude of seed source was found non-effective. Among all the pod-seed characters, number of seeds/pod and seed weight were found most variable characters, and, number of seed/pod had higher genotypic, phenotypic and environmental co-efficients of variability. High broad sense heritability and genetic gain as obtained for pod length, seed thickness and number of seeds/pod indicate additive gene action. On average, the population of Manan, Augastyamuni, Joshiara and Tallimari were found to be the best on the basis of pod-seed morphological characters. This preliminary investigation will be useful for further genetic improvement of A. chinensis.
Rainfall variability and its impact on yield of apricot and plum at Solan
Authors: Singh Mohan , Bhandari A.
Published: November 2024

The rainfall variability and its effect on fruit crop yield was studied using rainfall data (1971-99) and yield data of Apricot and Plum (1980-99) recorded at research farm of Dr. Y.S. Parmar University of Horticulture and Forestry, Nauni, Solan. Length and amount of rainfall of south-west monsoon (SWM) season exhibited decreasing trend during the third decade (1991-99) when compared with the previous decade 1981-90 and 1971-80. The mean rainfall and rainy days for the two decade and the recent period decreased and the co-efficient of variation also lower indicating more stability in rainfall as well as in numbers of rainy day. Variation in rainfall apparent to be the major factor contributing to fall in the crop yields. Analysis of daily rainfall data suggested that wet spells with total amount of rainfall up to 100 mm were more frequent in the region. To see the weekly pattern rainfall the initial and conditional probability was also obtained and the wet probability found highest from 25th to 35th meteorological week.
Construction and application of the multidimensional quantitative model for game evaluation
Authors: Hong Jinkun
Published: November 2024

Abstract. This article is a modeling study on the self-rating of board games. This article has reviewed and understood board games and various indicators of board games and stated the background of the topic and the questions raised. It has determined the dimensions of game characteristics that need to be evaluated. Through keyword retrieval, the text is transformed into the required numerical information, and through public calculation, the required data is obtained to fit the geek ratings and average player ratings of the 25 games in the target. Next, analyze the specific issues of each data through descriptive statistics. Then, through correlation analysis, which indicators are related were obtained, and a series of conclusions were drawn. Next, a second linear regression analysis will be conducted on the Geek rating and average rating, and a series of conclusions will be drawn. Summarize the conclusion, consider the advantages of the model, and reflect on the shortcomings of the model. Use sensitivity analysis to check if the conclusion is complete. This article randomly selected a game and analyzed it through a model. And draw relevant conclusions. Finally, the analysis and summary improved the modeling.
Analysing Food Safety Compliance in Toronto: Identifying Current Hazards and Challenge
Authors: Sui Pengyu
Published: November 2024

Abstract. This research conducts an in-depth investigation into the current state of food safety compliance in Toronto, thoroughly examining the present condition of food safety in the city. By utilizing a comprehensive dataset that includes a wide variety of dining establishments and their respective inspection results, the study employs advanced statistical methods for both analysis and visualization. These methods include the development of logistic regression models to identify significant patterns and trends. The goal is to highlight areas that require immediate attention or policy adjustments through a detailed examination of inspection reports, types of violations, violation frequencies, inspection dates, and the nature of the violations. Finally, the findings of the study strongly suggest that the government should increase the frequency of inspections, particularly during certain seasons, across various types of food businesses, and for specific types of violations, to enhance local food safety and protect the health of every Toronto resident.
Using ARIMA Model to Forecast the Stock Price of Microsoft
Authors: Ma Heyang
Published: November 2024

Abstract. In finance and economics, stock prices hold significant importance, attracting the attention of both researchers and investors. Numerous methods have been developed to improve the accuracy of stock price forecasting. The autoregressive integrated moving average (ARIMA) model is widely recognized for its effectiveness in stock price prediction, offering a robust approach to addressing time series challenges. This paper outlines the detailed process of building an ARIMA model using R Studio, utilizing daily stock price data from Microsoft, a globally renowned company, from 1987 to 2024. The rapid growth of Microsofts stock price over the past 30 years provides a compelling case study. The results derived from this model can offer valuable insights for investors. Furthermore, this paper discusses potential enhancements to the ARIMA model for improving forecasting accuracy and provides practical tips for future applications, benefiting both investors and researchers. The results show that stock prices have an exponential increasing trend and real values of stock prices will reach 600 in 2026, the values will vary in range of (400, 1100).
Quantum support vector machines: theory and applications
Authors: Yin Tianzhu
Published: November 2024

Abstract. Quantum Support Vector Machines (QSVMs) combine the fundamental principles of quantum computing and classical Support Vector Machines (SVMs) to improve machine learning performance. In this paper, the author will further explore QSVM. Firstly, introduce the basics of classical SVM, including hyperplane, margin, support vector, and kernel methods. Then, introduce the basic theories of quantum computing, including quantum bits, entanglement, quantum states, superposition, and some related quantum algorithms. Focuses on the concept of QSVM, quantum kernel methods, and how SVM runs on a quantum computer. Key topics include quantum state preparation, measurement, and output interpretation. Theoretical advantages of QSVMs, such as faster computation speed, stronger performance to process high-dimensional data, and kernal computation. In addition, the author discussed the implementation of QSVM, quantum algorithms, quantum gradient descent, and optimization techniques for SVM training. The article also discusses practical issues such as error mitigation and quantum hardware requirements. The purpose of this paper is to show the advantages of QSVM by comparing SVM and QSVM.
Factors influencing housing prices: A comparative study using multiple linear regression and random forest
Authors: Zhong Shutong
Published: November 2024

Abstract. The method is to construct a multiple linear regression model to examine the variables that significantly affect US home prices. The dataset has 13 variables and 545 observations, and it was obtained via Kaggle. This paper also considers comparing the multiple linear regression models and random forest model for predicting house prices and thus concludes which model can most accurately predict house prices. The result indicates that the factors including area, quantity of bedrooms and bathrooms, the existence of a basement, and state of the furnishings, etc. significantly impact housing prices. By comparing Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE), the conclusion suggests that the multiple linear regression model marginally surpasses the random forest regarding the accuracy of the predictions, despite the fact that both models function similarly. This research offers practical applications for enhancing real estate market strategies and provides valuable insights into the factors influencing housing prices.
Analysis of the potential correlation between infant mortality rate and GDP per capita among 217 countries
Authors: Li Zeyu
Published: November 2024

Abstract. This research explores the connection between GDP per capita and infant mortality rates (IMR) by examining data collected from 217 countries between 2000 and 2022. Regression analysis is utilized to examine the associations among different factors, encompassing healthcare, education, and unemployment, previously identified as influencing the infant mortality rate (IMR). The analysis reveals an inverse relationship between GDP per capita and IMR. Specifically, one dollar growth in GDP per capita corresponds to a 0.107 reduction in infant death, with all other variables held constant. The study also examined interaction terms, revealing a positive correlation between certain variable combinations and infant mortality. These findings indicate that policymakers should prioritize improving reproductive education and allocating more funding to healthcare in order to further decrease infant death. Nevertheless, the study has constraints, such as the absence of certain observations and the necessity for supplementary social and economic factors to acquire a more comprehensive understanding of the components impacting infant death.
Comparative analysis of X-ray image classification of pneumonia based on deep learning algorithm
Authors: Ma Danqing , Yang Yuanfang , Tian Qiyuan , Dang Bo , Qi Zongqing , Xiang Ao
Published: November 2024

Abstract. In this paper, we compare and analyse the effectiveness of deep learning models such as AlexNet, Vgg, GoogleNet and MobileNet in the task of pneumonia image classification. During the training process, GoogleNet showed the fastest convergence speed, reaching convergence at the 3rd epoch; subsequently, the other three models gradually stabilised. In the end, the loss of AlexNet is 0.426, the loss of Vgg is 0.566, the loss of GoogleNet is 0.936, and the loss of MobileNet is 0.626. By selecting the weights of the round with the best training effect of each model, the results of classification accuracy are obtained: 88.9% for AlexNet, 92.6% for Vgg, and 92.6% for GoogleNet. 92.6%, GoogleNet is 85.2%, and MobileNet is 96.3%. MobileNet demonstrated the best prediction performance on the test set. These results provide a useful reference for the application of deep learning models in medical imaging..
Vibration Analysis of the Bow Bridge With and Without the Soil Foundation
Authors: Chen Sitong , Yang Yuxi , Li Hao , Wang Siqiao
Published: November 2024

Abstract. Earthquakes can impart the phenomenon of resonance, where the frequencies of seismic waves align with a bridge's natural frequency, causing amplification of vibrations that can lead to structural failures. Aiming to accurately predict potential vulnerabilities posed to the bridge when subjected to earthquakes, this research presents a vibration analysis of the Bow Bridge. Two models, which simulate the Bow Bridge with and without soil foundation, are conducted to investigate the bridges natural frequencies and mode shapes under soilless and soiled conditions. The research result shows that the average vibration frequency in a soiled environment is much lower than that in a non-soil environment, intuitively proving the mitigation of soil environment to bridges vibration frequencies. Based on the agreeable data output, this research demonstrates the feasibility of modeling in the prediction of practical construction.
DESIGN OF MADOERA STOOMTRAM MAATSCHAPPIJ (MdrSM) RAILWAY STATION IN BANGKALAN REGENCY PERANCANGAN STASIUN KERETA API MADOERA STOOMTRAM MAATSCHAPPIJ (MdrSM) DI KABUPATEN BANGKALAN
Authors: Novita Imam lutfi hariyadi , Hariyadi Imam Lutfi , Tohar Ibrahim
Published: November 2024

Perancangan stasiun kereta api ini berada di Pulau Madura khususnya di Kabupaten Bangkalan.  Pergerakan transportasi yang ada di Kabupaten Bangkalan merupakan hal yang sangat melekat dan dibutuhkan karena termasuk kepentingan manusia untuk mencapai suatu tempat ketempat lainnya. Dengan adanya jembatan suramadu di perkirakan arus lalu lintas akan semakin padat dimasa yang akan datang. Salah satu alternatif untuk meningkatkan transportasi massal yang ada di Pulau Madura yaitu mengaktifkan kembali tansportasi kereta api di Pulau Madura. Stasiun kereta api Madoera Stroomtram Maatschappij (MdrSM) adalah salah satu perusahaan kereta api di hindia belanda yang beroperasi di Pulau Madura pada tahun 1897, dengan jalur kereta api sejauh 150 km. Dalam RIPNAS terdapat rencana pengembangan jaringan kereta api di Pulau Madura tahun 2030. Dengan di perkuat rencana tersebut maka perlu adanya perancangan stasiun yang ada di Kabupaten Bangkalan. Bangunan bekas stasiun yang ada di Kabupaten Bangkalan masih ada sehingga dapat memudahkan untuk dilakukan perancangan kembali stasiun yang sudah lama terbengkalai. Dalam perancangan ini menggunakan metode penelitian desktiptif dimana penelitian yang mengkaji suatu peristiwa yang terjadi (Objek Penelitian) secara spesifik, akan tetapi tidak untuk menyusun kesimpulan penelitian secara umum. Penelitian ini diartikan sebagai kegiatan pengumpulan dan pengkajian data yang dilakukan secara sistematis dan objektif untuk pemecahan suatu persoalan.  Dalam perancangan ini menggunakan konsep arsitektur kontemporer yang mana merupakan konsep yang ada karena kebutuhan akan adanya gaya baru sehingga konsep ini mencirikan adanya kebebasan serta keinginan untuk menampilkan sesuatu yang berbeda.
NEO VERNACULAR APPROACH TO REDESIGN OF THE SURABAYA PABEAN MARKET PENDEKATAN NEO VERNAKULAR PADA REDESAIN PASAR PABEAN SURABAYA
Authors: Kurniawati Febri , Faisal Muhammad , Prakasa Darmansjah Tjahja
Published: November 2024

Pasar merupakan simbol kemajuan ekonomi di suatu daerah sebagai bangunan umum yang dapat dikembangkan menjadi bangunan yang sesuai dengan kebutuhan sebagian besar penggunanya. Selama ini pasar identik dengan tempat yang kumuh, semrawut, becek, bau dan sumpek. Banyak bangunan pasar yang ditinggalkan karena kondisi yang tidak sesuai dan diganti dengan bangunan yang lebih modern seperti pusat perbelanjaan dan pasar swalayan. Kondisi tersebut memerlukan reorganisasi dan kategorisasi jenis barang pasar, pemutakhiran desain pasar agar menarik perhatian masyarakat, dan penyediaan ruang publik penting dilakukan untuk merestrukturisasi pasar agar lebih baik. Arsitektur vernakular dapat dianggap sebagai arsitektur pribumi dengan konsep baru (material modern). Salah satu rangkaian ide postmodern yang muncul pada 1960-an dicontohkan oleh arsitektur neo-vernakular. Postmodernisme muncul karena arsitek modern bosan membuat bangunan yang membosankan (boxy building). Karena kebutuhan ini, gerakan Post-Modern muncul. Penerapan arsitektur neo-vernakular dapat mengatasi permasalahan kompleks yang telah tercantum. Dengan pengaplikasian arsitektur neo vernakular berbagai kriteria, ciri - ciri dan prinsip dapat terbentuk. Penerapan arsitektur neo vernakular ini digunakan sebagai usaha untuk menjaga arsitektur lokal agar tidak tergerus oleh jaman dan hilang di masa yang akan datang.
Kata kunci: Pasar, Arsitektur, Arsitektur Neo Vernakular.
The Importance of Early Treatment of Frontal Fibrosing Alopecia
Authors: Saja Lagha  , Fauzia Musbah  , Mohmed Tabib
Published: November 2024

Frontal fibrosing alopecia (FFA) a variant of lichen planopilaris (LPP) described a gradual recession affecting the frontoparietal region in postmenopausal women, with the stark difference between the pale, smooth skin and the sun-damaged skin on the forehead, By trichoscopy, there’s a lack of hair follicle openings and the presence of perifollicular erythema at the hairline. With histopathological features include lymphocytic infiltration and fibrosing of the root sheet of hair follicle. We aimed to determine the relation between the duration of the disease and response to early initiation of different treatments. We conducted a retrospective study, including 16 cases of FFA from Tripoli Central Hospital, spanning from November 2019 to November 2023. In this study, we used data extracted from patients' follow-up records, which included information on demographics, disease history, examination results, trichoscopy findings, and administered treatments. The process of data entry and analysis was conducted using SPSS 26. We found out of 16 participants which were all females, mean age of 53.50 (±4.94), history of duration in months was 54 (42-62). There was a statistically significant negative strong association between the response to the treatment and the duration of the disease, τb = -0.574, p-value = 0.011.
Efektivitas Penggunaan E-Modul Matematika Bebasis 4C Terhadap Hasil Belajar Siswa Kelas VIII SMP
Authors: Mardiah Ainul , Yeni J Fetri , Hidayati Abna , Masnur Alkadri
Published: November 2024

The low student learning outcomes are motivated by the lack of activity of students during the learning process and the teacher's dependence on textbooks. Therefore, this study aims to determine the effectiveness of 4C-based mathematics e-modules on the learning outcomes of grade VII students at UPTD SMP Negeri 1, Mungka District. This research was carried out with a quantitative research method in the form of a Quasy Experiment. The data collection technique used is a test in Mathematics subjects. The sample of this selection was 54 grade VII students consisting of 27 people from the experimental class and 27 people from the control class. The data analysis techniques are normality test, homogeneity test, and hypothesis test with the Wilcoxon Test test method. The results show that the use of 4C-based mathematics e-modules is significantly effective in improving the learning outcomes of grade VII students. If learning is facilitated with modules or e-modules based on the 4Cs, learning will be more effective, because after learning at school students can use the e-module, learning can be done independently by students.
The Interplay between Teacher Support, Behavioral Engagement, and Academic Performance among Chinese Secondary EFL Learners
Authors: Zhou Xiaoqi , Wu Yajun
Published: November 2024

Teacher support is a crucial form of social support available to secondary school students, particularly within classroom settings. Numerous studies have investigated the relationship between perceived teacher support and academic achievement, consistently showing a positive predictive relationship. However, limited research has delved into the underlying mechanisms linking perceived teacher support and academic achievement, particularly within EFL (English as a Foreign Language) learning, especially in the Chinese educational setting. Therefore, this study aimed to examine the predictive influence of perceived teacher support on EFL achievement and the mediating role of behavioral engagement between these constructs. Data was collected from 688 Chinese secondary school students aged 12 to 15 (M =12.97, SD = 0.76). Results demonstrated a positive correlation between perceived teacher support, behavioral engagement, and EFL achievement. Furthermore, behavioral engagement fully mediated the relationship between perceived teacher support and EFL achievement. Implications, limitations, and directions for future research are also discussed.
Hygienic Production Practices and Microbiological Quality of Sheep Milk in Ararso District of Jarar Zone, Somali Regional State, Ethiopia
Authors: Ismail Abdimawlid Ali , Amentie Tedele , Abdi Fosiya Hussein , Ahmed Abdi Abdilahi
Published: November 2024

This study was conducted to evaluate the hygienic production practices and microbiological quality of sheep milk in Ararso district of Jarar Zone, Somali Regional State, Ethiopia. A stratified sampling strategy was used to choose 180 households specifically for this investigation. A total of 60 pooled raw sheep milk samples (each containing 200 mL) were collected from the udders and milk handling equipment of selected milk producers in the research area. The samples were examined to determine microbiological quality. The data were gathered via a questionnaire, field observation, key informant interviews, and focus group discussions. The vast majority of respondents in pastoral (86.7%) and agro-pastoral (64.4%) production systems were illiterate. The majority of respondents (70.6%) in the research area cleaned the sheep home (kraal) once every two days. The majority (98.3%) of respondents in the research area milk their sheep in open kraals with no roof or walls. As a consequence, 36.7% of pastoral and agro-pastoral respondents (81.1%) reported cleaning milk vessels on a regular basis. Almost all of the responders in the research area used plastic equipment for milking and handling. The majority of responders in pastoral and agro-pastoralist categories placed barn hygiene first, with indexes of 0.24 and 0.23, respectively. The average total bacterial count (TBC), coiform count (CC) and yeast and mould count (YMC) of raw sheep milk samples were 5.13±0.21, 2.89±0.27, and 0.77±0.21 log10 cfu/mL, respectively. Raw sheep milk samples taken from producers’ milk handling equipment had a substantially higher mean total bacterial count (5.78±0.32 log10 cfu/mL) compared to samples collected from the udder (4.48±0.23 log10 cfu/mL). Milk samples from pastoral and agro-pastoral households had an average coliform count of 3.18 and 2.60 log10 cfu/mL, respectively. The average YMC in milk samples from pastoralists and agro-pastoralists were 0.74 and 0.80 log10 cfu/mL, respectively. In general, pastoralists and agro-pastoralists in the district do not practice hygienic milking and handling. Consequently, the implementation of hygienic milk production and handling practices is essential to enhance the safety and quality of sheep milk in the study area. Additionally, further research should be undertaken to investigate the microbiological aspects and assess the safety and quality parameters of sheep milk in greater detail.
Exploring Teachers’ lived Experiences towards Students’ Engagement in Classroom: A Qualitative Approach
Authors: Zubair Tariq , Ali Mohammad Maqsood , Yazadani Faiz
Published: November 2024

Engagement of students in classroom is of vital importance and has been used to predict student achievement for quite some time. There is growing concern among educators about the impact of disengagement of students which is manifested in early dropouts, regular absence from class and poor behavior, ultimately leading to low levels of academic achievement. The purpose of this study is to explore the phenomenon of students’ engagement as experienced by the teaching faculty in the classrooms of different educational institutions of Uttar Pradesh. Qualitative approach was used to highlight the shared experiences of the participants which led to the emergence of four themes. The results of this study reveals that there is a lack of consensus among respondents on a specific definition with regards to Student Engagement. Furthermore, student interaction is fundamental to Student Engagement. In addition, Student Engagement has a positive impact on Teacher Motivation and last but not the least, Teacher's Self-Efficacy has a positive impact of Student Engagement. This study is an effort to build a shared understanding about the concept of student engagement among the teaching fraternity, department heads, college and university administrators and other stakeholders in the context of educational institutions of Uttar Pradesh and this may help them to prepare a blueprint for tackling the issue student disengagement in classroom.
HUBUNGAN FAKTOR RISIKO PRE EKLAMPSIA TERHADAP HASIL PENGUKURAN TEKANAN DARAH PADA IBU HAMIL
Authors: Handayani Handayani , Sania Wahda
Published: November 2024

Penelitian ini bertujuan untuk mengidentifikasikan hubungan faktor risiko preeklampsia terhadap hasil penelitian pengukuran tekanan darah pada ibu hamil trimester II dan III di wilayah puskesmas jakarta timur dengan sampel 82 responden ibu hamil trimester II dan III yang melakukan kunjungan ANC. Dengan hasil Distribusi frekuensi yaitu riwayat preeklampsia menunjukan 74,4% merupakan ibu hamil yang tidak memiliki riwayat preeklampsia, usia ibu hamil menunjukan 47,6% merupakan ibu dengan kelompok usia 20–35 tahun, gravida menunjukan 61,0% merupakan kelompok multigravida, jenis kehamilan menunjukan 79,3% merupakan kelompok tunggal, riwayat hipertensi keluarga menunjukan 67,1% merupakan yang tidak memiliki riwayat hipertensi keluarga dan hasil pengukuran tekanan darah ibu hamil menunjukan 50,0% merupakan ibu hamil yang memiliki hasil pengukuran tekanan darah yang meningkat dan 50,0% yang tidak meningkat. Terdapat hubungan signifikan antara riwayat preeklampsia pada kehamilan yang lalu terhadap hasil pengukuran tekanan darah pada ibu hamil trimester II dan III. Nilai p value 0,000 dan nilai Odds Ratio (OR) 16.841. Saran penelitian adalah puskesmas perlu meningkatkan pemantauan dan pengelolaan kehamilan pada ibu hamil dengan riwayat preeklampsia pada kehamilan sebelumnya, pencegahan dan deteksi dini preeklampsia secara intensif. Serta puskesmas dapat menyediakan program edukasi kesehatan kepada ibu hamil mengenai preeklampsia, tindakan pencegahan dan termasuk pemantauan tekanan darah selama kehamilan.
PENGARUH PENGGUNAAN TEKNIK RELAKSASI NAFAS DALAM TERHADAP PERUBAHAN INTENSITAS NYERI PADA PASIEN POST OP SECTIO CAESAREA
Authors: Hijriyati Yoanita , Utami Yuli , Elimanafe Wehelmina
Published: November 2024

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Gambaran tingkat pengetahuan masyarakat tentang obat Chlorpheniramine Maleat sebagai anti alergi di RT 10/RW 02 Sunter Agung Jakarta Utara
Authors: Zahidin Imam , Lakoan Milda Rianty , Rochjana Anna Uswatun Hasanah
Published: November 2024

Chlorpheniramine Maleat (CTM) merupakan obat antihistamin generasi pertama yang indikasinya sebagai anti alergi. Kesalahan pengobatan sering terjadi akibat kurangnya informasi penggunaan obat yang tepat. Masyarakat harus memahami informasi mengenai obat CTM sebagai anti alergi dengan baik dan benar. Tujuan dari penelitian ini yaitu untuk mengetahui gambaran tingkat pengetahuan masyarakat tentang obat CTM sebagai anti alergi di RT 10/RW 02 Kelurahan Sunter Agung Jakarta Utara berdasarkan usia dan Tingkat Pendidikan. Metode penelitian ini yaitu kuantitatif dengan cara membagikan kuesioner pada masyarakat. Populasi dalam penelitian ini yaitu semua masyarakat yang berdomisili di RT 10/RW 02 Kelurahan Sunter Agung Jakarta Utara. Sampel yang digunakan berjumlah 118 orang. Gambaran tingkat pengetahuan masyarakat tentang alergi di RT 10/RW 02 Kelurahan Sunter Agung Jakarta Utara diperoleh tingkat kategori cukup sebesar 75,42%. Selanjutnya gambaran tingkat pengetahuan masyarakat tentang obat anti alergi (CTM) diperoleh tingkat kategori baik sebesar 84,75%. Selanjutnya hasil pengetahuan masyarakat tentang pemahaman obat CTM sebagai anti alergi bukan sebagai obat tidur diperoleh tingkat kategori baik sebesar 87,29%.
Tren peresepan obat gastritis di poli penyakit dalam RS X: Fokus pada pasien BPJS Juli-September 2023
Authors: Astuti Linda Sri , Maulina Devi
Published: November 2024

Gastritis, yang lebih dikenal sebagai "maag," adalah adalah kondisi peradangan pada lambung, terutama pada lapisan mukosa lambung. Penyakit ini ditandai dengan beberapa gejala, antara lain mual, muntah, nyeri pada perut bagian atas, pendarahan, kelelahan, dan penurunan nafsu makan. Penanganan gastritis biasanya melibatkan pemberian obat-obatan yang terbagi dalam beberapa jenis, seperti antasida, penghambat sekresi asam lambung, analog prostaglandin, serta pelindung mukosa lambung.. Penelitian ini bertujuan untuk mengidentifikasi kelompok obat gastritis yang paling sering diresepkan, berdasarkan usia, jenis kelamin, serta pola peresepan tunggal atau kombinasi. Metode yang digunakan adalah deskriptif dengan pengumpulan data secara retrospektif dan teknik purposive sampling. Dari 222 sampel resep, ditemukan bahwa perempuan lebih rentan terhadap gastritis (72,07% atau 160 resep), dan kelompok usia yang paling banyak terdiagnosa gastritis adalah lansia akhir (56-65 tahun) dengan 27,48% (61 resep). Obat yang paling banyak diresepkan adalah penghambat sekresi asam dari golongan proton pump inhibitor (77,93% atau 173 resep), dengan pola terapi tunggal yang mendominasi (87,39% atau 194 resep).
SENTIMENT ANALYSIS AND CLUSTERING OF ISP SERVICE USERS BASED ON SOCIAL MEDIA PLATFORM X IN INDONESIA USING K-MEANS METHOD
Authors: Kurniawan Marcel , Achmadi Hendra
Published: November 2024

This study analyzes user sentiment towards Internet Service Providers (ISPs) in Indonesia using the social media platform X (formerly Twitter). Data was collected using web scraping and processed with TF-IDF to convert text into numerical representations. Sentiment was determined using the NLP BERT model. The K-Means Clustering method was used to group negative tweets based on content similarity. The data consists of 6.000 negative tweets. The analysis identified three main clusters: technical issues (network disruptions, high prices, slow connections), customer service and interactions, and communication and customer satisfaction. Inter-cluster distances were: Cluster 1 and Cluster 2 (0.460), Cluster 1 and Cluster 3 (0.349), Cluster 2 and Cluster 3 (0.341). Intra-cluster variations were: Cluster 1 (0.140), Cluster 2 (0.113), Cluster 3 (0.064). Managerial implications include the need to improve technical service quality, customer service responsiveness, and billing transparency. The study's limitations include the limited amount of data and potential bias. Future research is suggested to use regression models to predict customer satisfaction based on complaint patterns and user sentiment.
THE INFLUENCE OF WORKLOAD, WORK MOTIVATION, AND WORK ENVIRONMENT ON EMPLOYEE PERFORMANCE
Authors: Purwanto Sofia Rizky , Meilani Yohana F. C. P.
Published: November 2024

The objective of this research is to explore how the performance of employees at PT. XYZ is influenced by their workload, motivation, and the environment in which they work. This research utilises quantitative methods by administering surveys to employees across different sectors, with a total of 108 participants. The gathered information was analysed using model assessment and structural equation modelling through SmartPLS 4.1.0.2. According to the data analysis, the performance of employees at PT. XYZ is influenced by the amount of work they have, their motivation levels, and the environment they work in. The findings suggest that motivation and work environment play a crucial role in enhancing employee performance, whereas workload does not seem to have a significant detrimental impact. The results of this research can offer important perspectives, proof, and understanding to scholars and personnel managers. Organizations can establish a strong workforce that helps achieve the best organizational objectives by introducing methods to supervise workload, boost work drive, and enhance the work atmosphere. It is recommended that personnel managers create guidelines concentrating on controlling workload, hiring, education, drive, and enhancing possibilities while promoting a forward-thinking attitude among workers. These measures will promote creativity, cognitive flexibility, punctuality, and enhance worker effectiveness and results.
BRAND IMAGE, PRICE, AND PROMOTION: HOW DO THEY AFFECT SAMSUNG SMARTPHONE PURCHASE DECISIONS
Authors: Prasetya Hendra , Azizah Nurul
Published: November 2024

This study seeks to analyze how brand image, price, and promotion impact the buying choices of SAMSUNG brand smartphones among students at the Faculty of Economics and Business, Wijaya Kusuma University Surabaya. The target group for this research includes students enrolled in the Faculty of Economics and Business at Wijaya Kusuma University in Surabaya. The sample characteristics include FEB UWKS students who have purchased and used SAMSUNG brand smartphones. The number of respondents in the sample was 96. The findings from the analysis of multiple linear regression and hypothesis testing using t-tests reveal that factors such as brand image, price, and promotion have a strong and favorable impact on the purchasing choices of SAMSUNG brand smartphones among students studying at the Faculty of Economics and Business in Wijaya Kusuma University, Surabaya. To improve consumer purchasing decisions, companies are expected to: (1) Enhance brand image by building a reputable company, increasing consumer satisfaction, and improving product quality; (2) Set more affordable prices that align with quality and benefits and maintain competitiveness; and (3) Conduct promotions that: (a) Utilize various promotional media and (b) Convey clear, interesting, and easy-to-understand messages.
DETERMINANTS OF INTENTION TO DO WHISTLEBLOWING IN BANK PEREKONOMIAN RAKYAT
Authors: Astuti Ni Putu Ayu Purnama , Suartana I Wayan , Rasmini Ni Ketut
Published: November 2024

Whistleblowing is when someone speaks up to expose wrongdoing within an organization, with the goal of protecting it from illegal or unethical behavior. The act of whistleblowing is driven by a deep personal motivation to protect an organization from engaging in illegal activities. This intention can arise due to several factors. This research seeks to analyze on how organizational dedication, individual sacrifices, and ethical thinking impact an individual's decision to report misconduct. This study was conducted at 21 Head Offices of PT Bank Perekonomian Rakyat throughout Denpasar City. A survey was conducted by distributing a questionnaire directly to the participants for collecting data Respondents were selected from employees in the compliance, accounting, teller, credit, and internal auditor divisions, so that the total was 105 respondents. Of the 105 questionnaires distributed, only 92 respondents' answers met the requirements for further analysis using multiple linear regression. The findings of this research reveal that being committed to an organization can increase the likelihood of whistleblowing, while bearing personal costs can also increase the likelihood of whistleblowing. Additionally, moral reasoning does not seem to have an impact on the whistleblowing intention.
ANALYSIS OF THE EFFECT OF IMPLEMENTING A DIGITAL TECHNOLOGY-BASED ACCOUNTING SYSTEM ON THE FINANCIAL PERFORMANCE OF MSME’S IN INDONESIA
Authors: Komariyah Fitri
Published: November 2024

The primary objective of this study is to examine the impact of introducing a digital technology-driven accounting system on the financial outcomes of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. In today's digital age, integrating technology into accounting systems plays a crucial role in enhancing the efficiency and transparency of financial reporting in MSMEs. The research employs a quantitative approach, utilizing a survey method to gather data from 150 MSMEs operating across various industries. Through the analysis of data using multiple linear regression, the study aims to assess the correlation between the implementation of a digital accounting system and financial performance, as measured by metrics such as profitability, cost effectiveness, and liquidity. The findings of this study reveal a positive and significant impact of incorporating a digital technology-based accounting system on the financial performance of MSMEs. The results suggest that MSMEs that embrace accounting technology demonstrate superior financial performance in comparison to those that adhere to traditional approaches. Consequently, this research imparts practical implications for MSME operators, encouraging them to actively adopt digital technology as a means to enhance financial performance and gain a competitive edge in the market.
Obstacles to dialogue with the other: An Islamic perspective
Authors: Aldershawi Abdullah Mohammed , Al-Salloom Ahmed Faris , Hassan Omar Mahmoud
Published: November 2024

This research paper discusses the obstacles to dialogue, defining dialogue and its types while specifying its meaning in this particular study. It identifies the obstacles from the perspective of both parties involved in the dialogue. The importance of this paper lies in its examination of the obstacles from both Western and Muslim viewpoints, determining whether these obstacles are shared by both sides or unique to each. The research concludes with key findings, among which is that most of these obstacles are based on misconceptions or preconceived judgments and are not genuine obstacles. Both parties can overcome these issues.
The reflection of generation Z of leisure practices in Chinese audiovisual media: An analysis based on the YouTube platform
Authors: Gavra Dmitrii P. , Fu Lisha
Published: November 2024

This study explores the reflection of Generation Z leisure culture in Chinese audiovisual media, with a focus on the YouTube platform. As China’s Generation Z becomes a key demographic in shaping digital and media consumption patterns, their leisure practices reflect a unique fusion of local and global influences. Through an analysis of content on YouTube, this research examines how audiovisual media portrays the leisure activities of Chinese Generation Z, including entertainment, social interaction, and self-expression. By investigating the cultural narratives and visual strategies used to engage this generation, the study reveals how YouTube serves as a platform for identity formation, a strong sense of national identity, and pride in Chinese traditional culture among Chinese Gen Z audiences. The findings contribute to understanding the broader impact of digital platforms on leisure habits and media discourse in contemporary China, highlighting the transformative role of audiovisual media in shaping youth culture. It also plays a significant cultural education function, enhancing the positive perception of Chinese culture on the international stage and elevating China's image.
Advanced deep learning approaches for early detection and localization of ocular diseases
Authors: Ridha Ali Mohammed , Mohammed Mohammed Jamal , Saber Hussban Abood , Chyad Mustafa Habeeb , Abdulameer Maryam Hussein
Published: November 2024

Rece with t advancements in modern technology have significantly enhanced the transmission of information, particularly in image processing, utilizing deep learning algorithms. This study aims to propose a a robust deep-learning strategy for detecting and recognizing eye defects and diseases from medical images. We present a detailed practical simulation of hybrid deep learning techniques designed for medical image classification based on multi-descriptor algorithms. The focus is on the classification of eye diseases by applying an advanced deep-learning algorithm to a dataset comprising various pathological eye conditions. Training operations for the proposed algorithm were conducted following the initialization phase, which included the extraction of multi-specification features. This enables the deep learning model to effectively analyze input eye images and accurately diagnose conditions. Our results demonstrate a diagnostic efficiency of 99%, with an error rate not exceeding 0.015%. The findings underscore the high efficiency and accuracy of deep learning algorithms in classifying and analyzing image data, thereby significantly reducing the workload for healthcare professionals.
The Role Of Robotics Technologies In Preschool Mother Tongue Development Of Children With Special Needs
Authors: Ermağan Elif
Published: November 2024

Mother tongue education follows a distinct set of principles, with pivotal considerations including the individual's age and their mental, biological, and linguistic (healthy) development. It is noteworthy that robotics technology plays a crucial role in enhancing the development, creativity, and technical and social problem-solving skills of students with special needs. Despite the revolutionary nature of employing robots, it remains an evolving field. The central inquiry in this study is: What enhancements do the increasingly technologized educational systems, particularly those incorporating robotics, bring to children with special needs in the 21st century? Additionally, what possibilities does robotized mother tongue education present for the advancement of these children? This study contends that, notwithstanding its costliness and associated risks, such as the potential for fostering addiction, robotic materials play a supportive role in the mother tongue acquisition processes of individuals with special needs. This support is facilitated through diverse activities, including oral reading, audio-visual assistance, and mechanisms involving question-answer or action-command. It is noteworthy that this document analysis-based study aims to enrich the literature, particularly in areas where the subject of mother tongue development in children with special needs through robotic applications has been relatively unexplored.
METHODS FOR SOLVING PROBLEMS RELATED TO THE TRANSLATION OF TEXTS WITH A HISTORICAL FOCUS
Authors:   PHD. Lecturer, Termez state university, Termez, Uzbekistan, Zarrina Safarmaxmatova
Published: November 2024

The relevance of this article is related to the ongoing demand for translators of historical texts. Since the dawn of writing, there has been a demand for translations of various chronicles, scrolls and manifestos. A similar situation persists to this day, only now the popular history genre is gaining more and more popularity. A historian, like a writer, can recreate events and the face of the past, although this scientific recreation differs from the artistic one. Based on historical data, the writer at the same time always takes the path of creative fiction, without which art is impossible, and the historian depicts only what was, historically based facts. An informative historical text does not tolerate fiction, yet it is an excellent source for gaining knowledge and learning about history.
Challenges experienced by remedial education program in peri-urban primary schools in Zimbabwe. Case study of Riki Primary School in Mashonaland Province, Seke District.
Authors:   Teacher Training Centre (TTC) Mbuga, Rwanda Basic Education Board (REB), Rwanda, Chibaya Rose , Shonhiwa Tawanda ,   Teacher Training Centre (TTC) Matimba, Rwanda Basic Education Board (REB), Rwanda
Published: November 2024

The major concern of the study was that despite having remedial education programs in Zimbabwe schools, the performance in peri-urban primary schools is not below expectation. The purpose was to examine the challenges experienced by remedial education programs in peri-urban primary schools as perceived by remedial teachers, and school administrators. The study used document analysis as the foundation of data collection. Interview questions were used to collect data from teachers and school administrators. Focus group discussions was used to collect data from teachers through using ZOOM online meeting. Qualitative thematic analysis was used to analyze the collected data. The collected data was clustered into themes in line with the study objectives. The findings identified challenges such as lack of remedial learning resources, stigma and discrimination, class size, facilitator expertise, and high teacher-learner ratio. Therefore, the study concluded that remedial education in Zimbabwe's peri-urban primary schools was ineffective. The study recommended that there is need for the government through the Ministry of Education to revise and review the Zimbabwe school remediation policy, train teachers on how to administer remedial lessons, and provide adequate support to promote effective remedial education.
Colonial Exploitation and Neocolonial Developmentalism: A Postcolonial Ecocritical Study of Intizar Hussain's Basti
Authors: Qasmi Noor ul Qamar , Akram Muhammad Zubair
Published: November 2024

Through the prism of postcolonial ecocritical theory, this research paper seeks to examine colonialism's commodification of nature, the environmental degradation at the hands of "ecological imperialism's" agenda of "developmentalism," and the environmental fallout of neocolonial militarism and wars in Intizar Hussain's critically acclaimed novel, Basti (2018). This paper combines Huggan and Tiffin's (2010) and DeLoughrey and Handley’s (2011) theoretical constructs on postcolonial ecocriticism to formulate an integrated theoretical lens for analyzing the novel. The research establishes that Basti (2007) highlights environmental degradation caused by colonial exploitation, the extinction of biodiversity, and the destruction of natural habitats. The novel articulates its ecological concerns by critically reflecting on the installation of electric poles in Rupnagar, the laying of railway lines, and the introduction of motorbikes during the colonial era. It aptly anticipates and maps out the environmental toll of developmentalism and modernization schemes, causing the destruction of natural landscapes and disruption of traditional organic lifeways. Furthermore, by foregrounding the ravages of war and the environmental toll of neocolonial militarism, the novel shows how colonial and neocolonial violence commodifies and destroys nature. It delineates landscape's transformation into a desolate wasteland as an adverse environmental impact of war. This research paves the way for groundbreaking future studies in Pakistani literature that can deepen our understanding of its ecological themes.
Ketevan Grdzelidze
Authors:   Caucasus University, Grdzelidze Ketevan
Published: November 2024

“Choosing Plotinus for a Friend” – Poetic Image of Water and Influence of Neoplatonism on W. B. Yeats’s Poetry.
Dukes of Burgundy – the Protagonists of the 15th Century Crusade and the Georgian Kings’ and Rulers’ Respective Stance
Authors:   Ivane Javakhishvili Tbilisi State University, Karchava Tea , Tsitlanadze Tea
Published: November 2024

Based on the comparison of European sources and local materials, the article aims, on the one hand, to highlight the political and socio-economic factors related to the position-involvement of the Georgian rulers in one of the most problematic international issue - stopping the Ottomans, to explain why we consider the Duchy of Burgundy be considered the most consistent out of the Western European states to the idea of the crusade; also, on the basis of the reports of trade agents, travelers, representatives of religious missions and spies, explore the situation in the Black Sea region and Georgia of that period – insight into the development prospects and perceptions and apart from the Roman Curia, who and why could be an ally and supporter of the Georgians among the political leaders in the West.
Translations of the Studies of Evagrius Ponticus Made by Euthymius the Hagiorite
Authors:   Ivane Javakhishvili Tbilisi State University, Tkebuchava Lasha
Published: November 2024

This paper identifies and discusses the translations authored by Evagrius Ponticus (IV century) and translated by Euthymius the Hagiorite. Monk Evagrius, a famous Origenist, excommunicated by the Fifth World Church Council (553), is the author of many ascetic works in Greek. Many of his works were spread over time under the names of other church writers, and the original versions of some were completely lost. The following works were preserved only in translations. Exhortations by Evagrius Ponticus became known in the Georgian language as extracts quite early (in the pre-Athonic period), although, as it turns out, many of his writings were also translated disguised by Euthymius the Hagiorite but under the name of St. Basil the Great and Maximus the Confessor.