bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengolahan Meat Analogue Berbahan Plant-Based Pengganti Ayam
Authors: Ndouk Tristan Antonio , Efendi Moch Nur 
Published: May 2023

Tujuan dilakukannya penelitian ini untuk mengetahui potensi meat analogue berbahan plant-based pengganti ayam di Bali, menganalisis rasa, tekstur, aroma, dan warna dari meat analogue berbahan plant-based pengganti ayam dan menganalisis minat beli meat analogue berbahan plant-based pengganti ayam. Pendekatan yang digunakan dalam penelitian ini adalah kualitatif. Teknik pengumpulan data yang digunakan adalah observasi, wawancara, kuesioner. Teknik analisis data yang digunakan dalam penelitian ini adalah analisis deskriptif kualitatif, dan uji organoleptik. Hasil pengolahan meat analogue berbahan plant-based pengganti ayam hampir menyerupai dengan daging ayam asli, yang dapat di nilai dari warna, tekstur, aroma, rasa. Minat beli meat analogue berbahan plant-based pengganti ayam cukup tinggi karena berdasarkan data banyak orang yang mengganti pola makannya menjadi plant-based di Bali pada tahun 2020 pada masa pandemi.Potensi pangan nabati Bali sangat tinggi, karena target pasarnya luas yang dapat dijangkau. Pengolahan meat analogue berbahan plant-based yang dihasilkan hampir memenuhi semua aspek ayam dari segi rasa, warna, aroma, tekstur, masih mempunyai kekurangan dan kelebihannya masing-masing, contohnya seperti aroma dan juga tekstur yang belum dihasilkan secara maksimal, namun untuk rasa dan warna sudah menyerupai daging ayam asli. Minat beli meat analogue berbahan plant-based pengganti ayam cukup tinggi, dan masyarakat juga kurang informasi mengenai meat analogue, sehingga membuka peluang untuk membeli, mempromosikan dan menjualnya cukup besar.

The potential of this study aims to research plant-based chicken substitutes for meat analogs in Bali and analyze the taste, texture, aroma, and color. This study analyzes interest in buying plant-based chicken substitutes for meat analogs. The approach used in this research is qualitative. Data collection techniques used are observation, interviews, and questionnaires. This research data analysis technique is a descriptive qualitative analysis and organoleptic test. The results of processing meat analogs made from plant-based substitutes for chicken are almost similar to actual chicken meat, seen from the color, texture, aroma, and taste. Interest in buying plant-based meat analogs instead of chicken is relatively high because, based on data, many people changed their diet to plant-based in Bali in 2020 during the pandemic. Therefore, Bali's plant-based food potential is very high because the target market is vast that it can reach. The processing of plant-based meat analogs produced almost fulfills all aspects of chicken in terms of taste, color, aroma, and texture. Each aspect has advantages and disadvantages, such as aroma and texture that have not been optimally produced but for taste and color. However, it already resembles real chicken. Therefore, the interest in buying plant-based meat analogs as a substitute for chicken is relatively high. The public also lacks information about meat analogs, thus opening up opportunities to buy, promote and sell them.
Good-Bye I/B/E/S (or Not?)
Authors: Law Kelvin K. F. 
Published: May 2023

ABSTRACT
In October 2018, I/B/E/S claimed to have anonymized the identifications (IDs) of 88 brokers and their analysts in its Detail History Files. This paper examines to what extent the change affects the post-2018 Detail History File. The main findings are as follows. First, there is no evidence of a large-scale ID anonymization for the annual and quarterly EPS forecasts for U.S. firms. Second, the anonymization predominantly affects the forecasts of non-U.S. firms. A significant percentage of forecasts for non-U.S. firms have been anonymized since January 2017 (at least one year earlier than what was claimed). Third, there is no evidence of a large-scale ID reshuffling of forecasts between the 2015 and 2021 Detail History Files. Last, because the anonymization has very little effect on the Recommendations Detail File, I am able to offer detailed steps to reverse engineer the anonymized analyst IDs in the Unadjusted Detail History File.
JEL Classifications: G00; M41.
The applicability of nanobiotechnology-related approaches to veterinary medicine and assisted animal reproduction – A review
Authors: Woźniak Anna , Lipiński Daniel , Samiec Marcin , Skrzyszowska Maria , Trzcińska Monika 
Published: May 2023

Abstract
The development and optimization of nanobiotechnology has recently contributed to the elaboration of a wide spectrum of nanoparticlebased strategies that are reliable and feasible for a broad panel of practical applications in different disciplines of biological, agricultural, nutritional, biopharmaceutical, and biomedical research fields. Taking into account the aforementioned facts, the primary goal of this article is to provide an insightful interpretation of not only the topical and coming trends, but also the research highlights related to devising less time- and labor-consuming processes, less cytotoxic procedures, and the most – relatively speaking – effective and inter-disciplinary nano-applications that are being implemented in veterinary medicine, reproductive biotechnology, and their combinations with livestock breeding and animal production.
Research on Driving Conditions and Fuel Consumption of Improved K-means Clustering Algorithm
Authors: Xu Shuping , Wei Xuanlv , Wang Leyi , Xiong Xiaodun 
Published: May 2023

Abstract
In order to solve the problem that the initial center of traditional clustering algorithm is easy to fall into local optimum and time-consuming. An improved combination optimization algorithm of principal component analysis and weighted K-means clustering is proposed. The algorithm introduces the maximum and minimum distance, weighted Euclidean distance, starting from the mean sum of the distances of the remaining clustering points, avoiding the influence of outliers and edge data. The proportion method is used to improve the principal component, and the characteristic influence factor obtained is used as the initial characteristic weight to construct a weighted Euclidean distance metric. According to the influence factors of feature contribution rate on clustering, a clustering method of feature weight influence factors is proposed. The representative feature factors are selected to highlight the clustering effect. Finally, the driving cycle of automobile is synthesized and the instantaneous fuel consumption is analyzed. The results show that: the difference value of speed acceleration joint distribution of the proposed method is only 1.05%, which saves 44.2% of the time compared with the traditional K-means clustering, and the driving cycle fitting degree is high, which can reflect the actual vehicle operation characteristics and fuel consumption.
Commerce Middle Office Management System Based on Springboot
Authors: Wu Hejing 
Published: May 2023

Abstract
This topic takes Vue framework as the front-end framework of e-commerce middle office management system, uses springboot framework as the construction mode of back-end framework, and uses Java to write function code. [1] The data of the system is stored in MySQL database, which can be provided to the employee end of registered employees and the management end of managers. Employees can complete registration and login through the e-commerce middle office management system, and then view department information, store information Warehouse information and view order information and add, view commodity file information. The system administrator manages employee information, department information, store type information, store information, warehouse information, commodity file information and order information through the management end. Through the realization of the different functions of the above employees and administrators, the normal operation of the system is ensured, and the process involving stores, commodities and orders is monitored, So as to make a complete set of e-commerce middle office management system that can be provided to all kinds of users.
Face Mask Wearing Detection Based on YOLOv5
Authors: Xie Yunshan , Hu Zhiyi , Yu Jun 
Published: May 2023

Abstract
In recent years, COVID-19 has swept the world, and people in crowded public places are usually large. In order to reduce the risk of virus transmission, stop the spread of the epidemic and reduce cross-infection, wearing masks correctly has become an important measure to prevent the virus. Aiming at the time-consuming and laborious situation of wearing masks manually, this paper proposes a mask wearing detection method based on yolov5. The input layer is mainly used for mosaic data enhancement, that is, adaptive anchor box and adaptive image scaling technology; Yolov5 in backbone mainly adopts focus and CSP (cross stage partial) structure; The neck layer adopts spp (spatial pyramid pooling) module and FPN (feature pyramid networks) + pan (pixel aggregation network) structure; The output mainly adopts ciou for the bounding box loss function_Loss is the average index of NMS (non maximum suppression). This method uses 8000 preprocessed images as the data set and trains 200 epochs to get the final model. The algorithm visually displays the training and test results through tensor board, and inputs the pictures captured by the camera into the model to detect whether the face wears a mask. The accuracy, recall and mean accuracy (map) of the algorithm on the test set are 94.8%, 89.0% and 93.5% respectively, which are higher than the detection results of yolov3 and yolov4 algorithms.
A Survey of Ternary Optical Computer Research
Authors: Jia Yuxi , Li Mei 
Published: May 2023

Abstract
TOC, as a new type of computer, uses the state of light: it uses the non light state and two polarized light states with orthogonal polarization directions to represent information, and uses a rotator and polarizer to change the three light states, thus completing ternary logic operations. This new type of computer has the advantages of numerous processor bits, independent use of processor bits in groups, and reconfigurable computing functions of processor bits; After more than 20 years of development, we have achieved fruitful results. In this paper, the research progress of ternary optical computer is comprehensively and thoroughly analyzed and summarized, from the concept of TOC theory to the kilobit processor being studied so far. Firstly, the theory of ternary optical computer is summarized. Secondly, according to the core theory of ternary optical computer and the achievements that have been made, ternary optical computer has also made some progress in software and data calculation, such as operation result file generation software, addition routine, multiplication routine, etc. Finally, the future research directions of ternary optical computer are analyzed and prospected. Firstly, the structure of ternary optical computer is introduced, and the existing research results are summarized. Finally, the future research directions of ternary optical computer are analyzed and prospected.
Fatigue Variable Loading Under Combined High Temperature and Shot Peening Treatment for AA2024-T4 and AA2024-T361
Authors: Alwin Allawi H. , Ksibi Hatem , Driss Zied , Alalkawi Hussain J.M. 
Published: May 2023

Abstract
The variable fatigue loading (VL) is an important issue for aircraft safety. Indeed, aluminium alloy parts are always the subject of this type of thermo-mechanical alterations. This study examined the effect (VL) under normal operating conditions. We investigated the effect of fatigue variable loading (VL) under combined high temperature (HT) and shot peening (SP) treatment for (AA2024-T4 and AA2024-T361). Fatigue under loading from 250 to 350MPa with various combinations of loading cycles is presented.
The experimental fatigue life results were compared to Miner’s rule. The comparison shows that the fatigue life of tested specimens during the low to high stress sequences is higher than that of the (high to low) ones. This highlights the beneficial effect of (SP) which made the fatigue life predicted by Miner rule safe but not economical. We conclude that considered alloys under SP improves the variable fatigue life under 250°C. In fact, taking into account the interaction effects of loading sequences, those due to high temperature and surface treatment such as (SP) is very important for fatigue prediction based on such alloys.
Simulation of the Instant Supply in Gear Hydraulic Machines
Authors: Kuleshkov Yuriy , Chernovol Mikhailo , Mahopets Sergii , Bevz Oleh , Vorontsov Borys , Kyrychenko Iryna , Protasov Roman 
Published: May 2023

Abstract
The article proposes a new technique for estimating the instantaneous supply in gear hydraulic machines. It takes into account the peculiarity of the movement of the radius connecting the centers of rotation of the gears with the point of engagement. The dependence of the angular velocity of rotation and the length of the radius on the position of the engagement point due to slipping of the working profiles of the gear teeth are determined. Estimation of the degree of non-uniformity of the supply, in accordance with the obtained model, differs significantly from the traditional ideas about the pulsation of the instantaneous supply in gear hydraulic machines.
Pengungkapan Tanggung Jawab Sosial Terstandarisasi, Kredibilitas Manajemen, dan Manajemen Laba
Authors: Santoso Eko Budi , Basuki Basuki , Isnalita Isnalita 
Published: May 2023

This study aims to examine the effect of standardized social responsibility disclosure on earnings management and the role of management credibility in this relationship. The research sample is a company going public in the non-financial sector on the Indonesia Stock Exchange that has disclosed GRI-based social responsibility for the 2013-2019 period. The analysis technique used in this study is moderated regression analysis (MRA). The results of the study found that disclosure of social responsibility has a negative effect on earnings management and management credibility strengthens this relationship. The results of the study indicate that companies that put more effort into disclosing their social responsibility through standardized disclosures will reduce earnings management practices and this is reinforced by the existence of a credible management team. The novelty of this study lies in the use of a comprehensive index in measuring social responsibility disclosure which is a combination of aspects of accountability and performance, as well as the formulation of management credibility measurements.
Keywords: Corporate Social Responsibility; Earnings Management; Management Credibility
Pandemi Covid-19, Kualitas Audit, Biaya Audit, dan Pergantian Auditor
Authors: Matitaputty Jean Stevany 
Published: May 2023

The Covid-19 pandemic that has occurred throughout the world has had an impact on the public accounting profession. The Covid-19 pandemic caused the audit process to be carried out to be hampered by the existence of rules regarding social distancing. The research aims to examine the effect of the Covid-19 pandemic on audit quality, audit fees and auditor turnover. The research uses a quantitative method with data on infrastructure, utility and transportation companies listed on the Indonesia Stock Exchange during 2018-2021 using a purposive sampling technique. Data analysis was performed using panel data linear regression and processed using the Eviews 9 application. The results showed that the Covid-19 pandemic had a negative effect on audit quality and a positive effect on auditor turnover. This research contributes to the development of the literature by providing empirical evidence regarding the impact of the Covid-19 pandemic on auditing.
Keywords: The Covid-19 pandemic; Audit Quality; Audit fee; Auditor Switching
Kecerdasan Emosional, Kecerdasan Adversitas, Kecerdasan Intelektual, Kecerdasan Spiritual, Perilaku Belajar dan Tingkat Pemahaman Akuntansi
Authors: Jelantik Made Satryawan , Dewi Luh Gede Krisna 
Published: May 2023

Understanding of accounting is not only aimed at achieving value in the form of numbers, but also understanding of concepts and practical application in society. This study aims to examine the effect of emotional intelligence, adversity intelligence, intellectual intelligence, spiritual intelligence and learning behavior on the level of understanding of accounting. The research was conducted at the Faculty of Economics and Business (FEB) Udayana University, especially the Bachelor of Accounting program. The research population was active 2018 Bachelor of Accounting students at the Faculty of Economics and Business, Udayana University, totaling 238 people. The sample used was 150 respondents who were selected based on the probability sampling technique, namely random sampling. Data collection was carried out using a questionnaire method. The analysis technique used is multiple linear regression analysis. The results showed that the better the emotional intelligence, adversity intelligence, intellectual intelligence, spiritual intelligence and learning behavior of accounting students, the level of understanding of accounting would increase.
Keywords: Emotional Intelligence; Adversity Intelligence; Intellectual Intelligence; Spiritual Intelligence; Learning Behavior.
Etika dan Tax Evasion
Authors: Afriyani Niar 
Published: May 2023

Tax Evasion is an action taken by taxpayers in reducing the obligation to pay taxes illegally. Cases of tax evasion are still common in Indonesia in recent years. This study aims to determine how the influence of tax justice, love of money, and religiosity on the ethical perception of tax evasion. As well as testing the role of gender moderation in the relationship between the independent variables and the dependent variable. Data collection in this study was carried out through a questionnaire. The population in this study are individual taxpayers who work in DKI Jakarta with purposive sampling technique. The data analysis technique used is multiple regression analysis. The results showed that the higher the tax justice and religiosity, the lower the ethical perception of tax evasion. The higher a person's love for money, the higher the ethical perception of tax evasion. Gender affects how high or low the influence of the independent variable on the dependent variable.
Keywords: Tax Evasion; Ethical Perception; Taxation; Gender; Theory of Planned Behavior
Authors: Ariska Bayu Ketut Erna 
Published: May 2023

Bananas are easily damaged, improper management of bananas can result in a decrease in quality and quality. In general, to measure maturity is still done conventionally, the weakness of this method is the level of accuracy that is not consistent and prone to errors. Utilization of images is very important to determine the ripeness of bananas by utilizing digital images. With the existence of digital images, to determine the ripeness of bananas based on their color can be done computationally (technology-based), namely by applying image processing using the HSV (Hue, Saturation, Value) color space transformation method. The HSV (Hue, Saturation, Value) color model classifies the intensity components of the conveyed color information (hue and saturation) in image colors. Based on the results of research on the analysis of the maturity level of bananas, the highest training accuracy is 100% and the highest testing accuracy is 100%. Meanwhile, in the analysis of coffee bean quality, the highest training accuracy was 87.5% and the highest testing accuracy was 90%. This accuracy indicates that the method developed in this study is quite good in analyzing the level of ripeness and quality of bananas. The developed system is also made in an interface that makes it easier for users to operate.

Keywords: HSV Color Space Transformation; Image processing.
Penerapan Metode XGBoost Untuk Memprediksi Jumlah Kejadian Kecelakaan Lalu Lintas di Kota Banjarmasin
Authors: Alkaff Muhammad , Baskara Andreyan , Ainiyyah Ainiyyah 
Published: May 2023

Setiap tahunnya terjadi kecelakaan lalu lintas seperti yang tercatat pada data dari Polisi sejak tahun 2016 sampai dengan 2020 yang ditambah dengan data dari sosial media pada tahun 2021 sampai bulan Oktober. Selain berdasarkan data kecelakaan lalu lintas terdapat juga hal yang dapat mempengaruhi terjadinya kecelakaan seperti curah hujan. Berdasarkan permasalahan tersebut, penelitian ini akan melakukan prediksi terhadap jumlah kejadian kecelakaan lalu lintas yang akan terjadi di kota Banjarmasin menggunakan metode XGBoost. Data yang telah dikumpulkan akan diolah dalam rentang waktu bulanan serta pengujian model menggunakan dua metode yaitu RMSE untuk melihat tingkat error rate hasil prediksi dengan nilai nyata dan R-Squared atau R2 untuk melihat korelasi kecelakaan dengan curah hujan. Hasil penelitian menunjukkan metode XGBoost mendapatkan nilai RMSE sebesar 0.120 pada data per hari dengan variabel kecelakaan saja sedangkan nilai R2 mendapatkan 0.19 pada data per 4 bulan kebelakang dengan variabel kecelakaan dan curah hujan.
FOCI Commitment pada Job Performance dengan Generasi X dan Y sebagai variabel Moderator
Authors: Sutoha  , Siahaan Tujuh Martogi , Anggiani Sarfilianty 
Published: May 2023

Research aim : The purpose of this study was to analyze the influence of generational differences in the interrelationships among affective commitment (AC) and sustainable job performance between Gen X and Gen Y employees.
Design/Methode/Approach: The research design used is correlational research that aims to test and analyze the influence of independent variables on dependent variables. The data used is primary data through questionnaires distributed through google form. The population of this study is all employees of Auto 2000 in Jakarta, Tangerang, Depok and Bekasi as many as 500 employees. The number of respondents used was 320 respondents where the sampling method used purposive sampling. The analysis tool used is the Structural Equation Model (SEM) using Smart-PLS software.
Research Finding : The results showed that one of three FOCI (affective commitment to the organization, affective commitment to the supervisor, and affective commitment to coworkers) was found to be positively related to job performance, namely contextual performance.
Theoretical contribution/Originality : From the results of data analysis, it is also concluded that the generation difference between generation X and generation Y does not affect FOCI on job performance.
Practitionel/Policy implication : The results of the study provide input for decision makers in companies that affective FOCI of commitment has a relationship with Job Performance. Therefore, company leaders can make good policies to improve employee performance.
Research limitation : This research has several limitations in the selection of dimensions of the FOCI of Commitment ( AC) affective variable, namely in the aspects of commitment to organization, commitment to supervisors, and commitment to coworker.