bluuebunny/crossref_metadata_2025 huggingface dataset:
Untargeted metabolomic profiles reveal widespread metabolic perturbations and identify candidate biomarkers in aminoaciduric canine hypoaminoacidemic hepatopathy syndrome
Authors: Loftus John P. , Rubio M. Elena Diaz , Yant Jillian , Bichoupan Allison , Zhang Sheng , Miller Adam J. , Center Sharon A. , Ruiz Maria D. R. , Macho Luis P.
Published: October 2023

OBJECTIVE

To identify metabolites and metabolic pathways affected in dogs with aminoaciduric canine hypoaminoacidemic hepatopathy syndrome (ACHES) compared to healthy control (CON) dogs of similar ages and breeds. To improve our understanding of ACHES pathophysiology and identify novel candidate biomarkers associated with ACHES.

ANIMALS

A prospective case-control study. Privately owned dogs with ACHES (n = 19) and healthy (CON) dogs (n = 9) were recruited between February 18, 2015, and April 18, 2018.

METHODS

A prospective case-control study. Plasma and urine were collected from ACHES and CON dogs. The Cornell University Proteomics and Metabolomics Core Facility conducted an untargeted metabolomic analysis.

RESULTS

After controlling for age, sex, and weight, 111 plasma and 207 urine metabolites significantly differed between ACHES and CON dogs. Data reduction and cluster analysis revealed robust segregation between ACHES and CON dogs. Enrichment analysis of significant compounds in plasma or urine identified altered metabolic pathways, including those related to AA metabolism, cellular energetics, and lipid metabolism. Biomarker analysis identified metabolites that best-distinguished ACHES from CON dogs, including pyruvic acid isomer and glycerol-3-phosphate in the plasma and an alanine isomer and choline in the urine.

CLINICAL RELEVANCE

Our findings provide an in-depth analysis of metabolic perturbations associated with ACHES. Several affected metabolic pathways (eg, lipid metabolism) offer a new understanding of ACHES pathophysiology. Novel candidate biomarkers warrant further evaluation to determine their potential to aid in ACHES diagnosis, prognosis, and treatment monitoring.
Deep neural networks for multimodal perception and human-computer interaction technology in art design
Authors: Zhang Yamin
Published: October 2023

The first part of this paper examines the aesthetic and application advantages of art design using human-computer interaction technology and develops a multimodal perceptual human-computer interaction system for art design. Multimodal data is obtained using multi-scale convolutional kernels for acoustic feature extraction and deep convolutional neural networks for multiple interaction image feature fusion. Finally, a test analysis is conducted to verify the system's effectiveness in this paper. According to the results, the system has an average wake-up success rate of 99.51% and a wake-up response time of 0.3665 seconds. Implementing human-computer interaction technology and deep neural networks in art design is effective and promotes the development of art design.
Analysis of mental health status assessment of college students based on interpolation and fitting algorithm
Authors: Ou Juhu
Published: October 2023

For common psychological problems among college students, the current mental health assessment methods are analyzed, and the least squares method of curve fitting is chosen for this paper. Based on the interrelationship between personality traits and mental health and the correlation between perceived campus climate and mental health inequalities, factors affecting the mental health status of college students were identified. The OLS and 2SLS algorithms, as well as the stepwise addition of control variables, were used for empirical testing, and a binary regression analysis model was established for individual UPI score values and mean UPI score values, and the results showed a peer effect coefficient of 0.654, which verified the existence of a significant positive peer effect of campus environment on college student’s mental health level.
The embodiment and influence of game theory in the choice between the realization of self-worth and social value in life
Authors: Ma Tianjiao
Published: October 2023

The application and influence of game theory in the choice between achieving self-worth and social value in life. Different game rules dictate the decision to maximize self-interest, and self- and social values are considered to reach the Pareto optimal state. A reasonable allocation of self-value and social value is achieved using the crosswalk game as a reference. The results show that using the game theory model can yield a maximum value of 0.0001 for the rate of change, indicating an interaction between life self-value and social value, which helps to make subsequent timely responses to improve self-cultivation and strengthen normative behavior.
A study on the psychological assessment of young children based on multivariate statistical analysis
Authors: Tang Shangjie , Cao Yuewang
Published: October 2023

To extract the main characteristics of the original psychological assessment data, we first set up random variables in this paper. The probability values of the parameters are obtained based on significance tests after decomposing the covariance moments. The regression coefficients of the data are predicted using logistic regression after normalization. The accuracy of the assessment was improved by optimizing the parameters of different assessment indicators. Ninety-five children in a kindergarten were selected, and the highest score in the hyperactivity test based on multivariate statistical analysis intervention was 4, and the score indicators of the undesirable factors test all decreased substantially. Implementing psychological assessment of young children based on multivariate statistical analysis can effectively improve their adverse psychological problems and thus improve their psychological health.
An Exploration of the Reform of English Informatisation Teaching in Colleges and Universities Based on Deep Learning Model and Microteaching Mode
Authors: Zhang Boyu
Published: October 2023

In this paper, we use the cross-layer connectivity of residual networks in deep learning to convert convolutional and fully connected layers into sparse connections and cluster sparse matrices into relatively dense subspaces. Extracted features are used to perform target class prediction and regression of target coordinates using a target detection algorithm to meet the demand for real-time target detection. The model's use resulted in a head-up rate of 83.57% in the classroom, with the least serious students at 0.8 and above. Deep learning technology can enhance students' learning experience in English classrooms by providing personalized learning and a deep learning environment.
Research on heritage and innovation of minority landscape cultural heritage based on VR technology
Authors: Yan Xue
Published: October 2023

The distance between sample sets is calculated in this paper using VR technology by combining the K-means clustering algorithm to select data objects. Continuous optimization of the objective function leads to optimal clustering, expressed as the clustering effect. The output is performed at the cluster center of each data point, and the density function of the target nodes is sorted based on the given parameters to calculate the neighborhood map of the data points and create the matrix. Based on the perception degree test before and after the innovation of landscape cultural heritage inheritance by VR technology, the overall perception degree of residents and tourists rose to 8 after the innovation. VR technology can help expand the protection and inheritance of minority landscapes and promote the sustainable development of traditional culture.
A study on the influence of fashion advertising style on consumer perception based on big data technology
Authors: Luo Jing
Published: October 2023

This paper establishes a dataset through big data mining algorithms, obtains data objects in the subspace according to data outlier characteristics, and derives the subspace outlier probability formula. This paper establishes a dataset through big data mining algorithms, obtains data objects in the subspace according to data outlier characteristics, and derives the subspace outlier probability formula. The data distribution characteristics are analyzed using entropy detection, and the multi-information entropy data are extracted for clustering detection by inputting the number of database samples for differential evolution. The adaptive search method is used for feature extraction of big data information flow, and text data with similar characteristics are divided into uniform fuzzy clustering centers to mine the optimal clustering indicators. Four categories of fashion photography styles were obtained by clustering fashion advertisement photos through data mining. Big data technology positively impacted the influence of consumers' consumption concepts, as their social self-concept increased from 4 to 10 points.
Research on the construction and practice of the evaluation system of teachers’ morality in colleges and universities based on statistical analysis method
Authors: Liu Kai
Published: October 2023

In this paper, observations and data analysis of multiple impact variables are performed by cluster analysis algorithm, and data sets are set up using statistical analysis methods to calculate similarity measures to obtain weight values. The evaluation indexes are categorized to constrain index data analysis, and the outlier degree of this data object is calculated based on the attribute value weights. Factor scores were obtained for each sample in the evaluation index data set by the statistical analysis method to derive the optimal automated evaluation model. The results show that the indicators of the satisfaction evaluation system are all 60% and above, and the highest indicator of teachers’ love and dedication is 90% and the statistical analysis method can build a teacher ethics evaluation index system that meets the actual needs.
Assessing the Sustainability Level of European Cultural and Creative Industries Based on Entropy Method
Authors: Liang Chenxi , Abdela Rawi , Meng Ziyu
Published: October 2023

This paper aims to highlight the sustainable development level of European cultural and creative industries and their impact on national economic growth and establish a sustainable development assessment model based on the entropy weight method. The influence of different quantiles on the decision results is eliminated by standardizing the indicators. The objective evaluation method utilizes the entropy principle to avoid bias caused by human factors. The comprehensive evaluation method of sustainable development is utilized to gauge the trend and direction of enterprise development. It has been found that the annual added value of the cultural and creative service industry in Europe in 2022 is 226.976 billion yuan. It is an effective development strategy to promote economic growth in Europe, with an increase of 10.8% over the previous year.
Research on the transformation and innovation of visual art design form based on digital fusion technology
Authors: Du Yingbei
Published: October 2023

This paper constructs a three-dimensional object visual perception space using digital fusion technology to enhance the impact of art design works. A large amount of homogeneous or different visual art design information collected is fused, and data processing and fusion methods are used to reduce redundant data, establish a reasonable knowledge base to explain the information and derive the maximum support degree. The mean square error is calculated according to the adaptive weighted data fusion, and the trust degree function and likelihood function are introduced to obtain the total trust degree of visual art design innovation types. The results show that the beauty indexes become nonlinear, the fitted correlation indices are all greater than 70%, and the digital fusion technology can prompt the artworks to be more outstanding in visual effects.
Analysis of Adaptive Morphology for Visualization of Information Communication in Advertising Design
Authors: Bian Zhuo
Published: October 2023

This paper uses adaptive morphology to construct an adaptive elliptic structure element that changes adaptively according to the image’s local neighborhood information. To calculate convolution, a Gaussian kernel with the outer product of the image gradient is used to achieve the diffusion of the linear matrix values of the initial matrix. The spatial distance of the pixels determines the size of the structural elements, and the pixel points that do not exceed the threshold are selected. The adaptive morphology method resulted in a 27.7 difficulty level for visual communication design, and the algorithm’s accuracy was 87.18%. Advertising design can break through dimensional limitations in visual space through adaptive morphology to generate interaction, indicating a path for development.
Data decision based promoting effect of non-destructive detection skill competition on detection technology course teaching in colleges and universities
Authors: Sun Xudong
Published: October 2023

The construction of a non-destructive testing skills competition system is based on data decision technology in this paper. The distribution of each data pheromone is initialized using the Euclidean distance algorithm, and the probability value of each parameter is calculated using weighting coefficients. Then, the decision tree algorithm is used to sort the gain nodes of each information feature value, and accurate data classification is achieved by continuously updating the information entropy value. According to the final results, the students’ passing rate in the competition is about 79.8% on average, and their cognitive rate has increased by about 54.3% on average. The NDT skills competition system has helped improve the teaching quality of testing technology in colleges and universities.
Analysis of civil and commercial law protection based on decentralized Internet
Authors: Sheng Kun
Published: October 2023

To promote fairness and justice in law, it is important to explore the protective role of civil and commercial law. The relationship between civil and commercial law and public opinion supervision is examined through Internet public opinion. A decentralized Internet public opinion index system has been established, and a better random network public opinion dissemination model is proposed through parameter inversion of the SIR model and network simulation. The protection of transaction security and information rights by civil and commercial law is the focus of the evolution of Internet public opinion cases. The promotion of industry self-regulation is enhanced by 14.63% when civil and commercial law intervenes. On the flip side, it aids in protecting personal information, and the likelihood of personal information leakage is reduced by 25.48%. This study can effectively reference the implementation of civil and commercial law in the Internet era.
Research on the use of computer-based art elements in digital special effects film and television
Authors: Liu Huichen , Jiao Linyi
Published: October 2023

This paper explores the application of “color” elements by combining SD and GoogLeNet models to build a dataset of color emotion imagery for film and television, generating a color emotion adversarial network based on conditional convolution, and designing a deep learning-based color emotionalization method. A feature extraction method is used to explore the application of graphic elements in digital effects films and television. Color features were extracted using the color histogram and color moments, the texture was extracted using the CLBP algorithm, and EEG signals were extracted using the CSP method. After analysis, it is concluded that as the film and TV timeline progresses, the value of RGB of color increases from (10,200) to (30,250), and the hue becomes heavier to pave the way for the restless and negative emotions later. The primary effects of graphical emotions were significantly smaller than 0.05 and were capable of causing emotional changes.
A study on the construction of an online interactive teaching platform for English in colleges and universities based on the fusion of multi-source and multi-objective statistical information
Authors: Sun Ying
Published: October 2023

This paper firstly combines English teaching in colleges and universities and big data technology and proposes the information technology of English teaching in colleges and universities based on the fusion of multi-source and multi-objective statistical information and conducts research on the traditional teaching optimization algorithm and multi-task teaching optimization algorithm to promote English teaching in colleges and universities. Secondly, in the “teaching” phase, teachers and teaching assistants teach according to the difference between their average level and the class average to increase the value of each student’s factor and increase individual exploration and group diversity in the “learning” phase. Then, the English teaching platform was designed and studied regarding system structure and platform function, simulated and analyzed. The results show that the efficiency of the multitasking optimization algorithm is increased by 21.85% compared with the traditional teaching optimization algorithm for the number of concurrent users from 10 to 100 and 16.46% when the number of concurrent users is 100, which has a positive effect on students’ English learning efficiency.
Research on the innovation path of corporate financial management based on improved Adaboost regression algorithm and analysis of management effectiveness
Authors: Li Tingting , Lu Ping , Cao Ying , Xu Wen
Published: October 2023

The first part of this paper investigates the implementation process of the Adaboost regression algorithm, initializes the training set weights to obtain the weak learner, and builds the final strong learner. Then, we explore the treatment of corporate financial management concept drift by assigning variance weights to financial data samples according to their temporal proximity to solve the problem of financial concept drift. Then, an optimized AdaBoost-SVM model is constructed to initialize the sample weights according to time and sample category, calculate the classification error, and build a weak classifier and a decision classifier based on the samples. Finally, the company's financial management costs, personnel, and model prediction accuracy were analyzed. The model predicts financial distress with a 78% accuracy, financial insolvency with a 93% accuracy, and financial normalcy with a 90% accuracy. This confirms the feasibility of this paper's methodology for corporate financial management.
Analysis of Fuzzy Semantic Translation in English Language and Literature Based on Bayesian Nonparametric Model
Authors: Cheng Kai
Published: October 2023

The development of machine learning provides a new path for translating fuzzy semantics into English and literature. In this paper, we propose translation points for fuzzy semantics based on the fuzziness of language by studying the linguistic features in English literature. The hierarchical PY process under the Bayesian nonparametric model is adopted to achieve word alignment in English translation, and the clustering process of English words is controlled by introducing discount and intensity parameters. Based on this, the parameter estimation of the word probability model is completed using Gibbs sampling, and the Moses decoder extracts the translation features. Based on monolingual word classification, this model reduces 6.85% in the average time consumed per sentence compared to the Beam algorithm and 9.57% compared to the A* algorithm.
Fourier transform-based protein fraction analysis of whole-seed wheat
Authors: Jia Dianyong , Xie Yuli , Chang Wei
Published: October 2023

The principle of the Fourier transform is explored in this paper to compare protein structure similarity, transforming protein structure into a distance sequence, and performing spectral analysis on a fast Fourier transform. Secondly, protein fraction classification and similarity analysis of whole-seed wheat protein fractions were performed using the fast Fourier transform. Fourier transform infrared spectra were analyzed using two parameters: diatomic vibrations and molecular leaps. Finally, the whole seed wheat protein fraction content test analysis was analyzed experimentally. The results showed that the spectral range of whole seed wheat protein fractions was selected from 10539 cm
−1 to 6080 cm
−1, the fraction of fractions was determined as 9, the parameter R
2 val was 0.9614. This paper provides practical reference material for researching whole-seed wheat protein fields.
Exploring the path of environmental visual design based on the perspective of new media
Authors: Yin Wenshan , Zhang Boyuan , Wu Xiaolu
Published: October 2023

This paper first constructs a convolutional neural network model by convolutional layer, activation layer and normalization layer and then uses the style migration algorithm and image semantic segmentation algorithm based on the convolutional neural network to construct an environmental visual design model based on the style migration algorithm. The experimental analysis of the effective application of the environmental visual design scheme under the new media perspective is conducted after data pre-processing. The results show that from the total loss function graph after weighting, the function decreases from 0.03 to 0.01 after a small fluctuation, and the style migration imaging tends to a stable state, and the model is optimal now. This demonstrates the exploration of environmental visual design and encourages the innovative development of visual design in the new media environment.
Analysis of the characteristics of skill-based street dance movements based on the improved K-means algorithm
Authors: Luo Yanping
Published: October 2023

This paper first analyzes the K-mean algorithm from the core idea, algorithm process and advantages and disadvantages, then further improves the K-mean algorithm by using Gaussian mixture distribution and constructs the skill-based street dance movement recognition model based on the improved algorithm. Finally, the street dance teaching video is used as an example for dance movement acquisition and data pre-processing, and the recognition accuracy analysis of the street dance movement dataset is conducted based on the improved K-mean algorithm. The average recognition rates of the recognition model in the four data sets of the data set were 72.34%, 74.65%, 73.15% and 86.70%, respectively. This shows that analyzing the characteristics of street dance movements using the improved K-mean algorithm is beneficial for optimizing and improving existing street dance movements.
Multimodal discourse analysis of English reading instruction in colleges and universities based on weighted function algorithm
Authors: Liu Yanxia , Shi Ruimin , Wu Mei
Published: October 2023

This paper proposes a kernel clustering method that uses the weighted function method to address the problem of excessive similarity calculation in the kernel function clustering process. Based on function-based clustering with orthogonal basis expansion, function-based principal component analysis is used to reduce the dimensionality of function-based data and extract the first few principal components that can contain the most information of the original data. The factors of each component are assigned with characteristic weights so that the scores of the principal components replace the original functional data for clustering analysis of English reading teaching in colleges and universities. A systematic functional language framework was used to conduct multimodal discourse analysis based on clustering results. The symbolic annotation of pure language reached 14.5, and the symbolic resources of visual imagery reached 85.7 during the CB stage of English reading instruction. The number of semiotic resources was relatively small, so the complexity of the modality was lower than in other stages.
Research on the construction of evaluation system of physical education courses in general colleges and universities in the digital era based on the concept of “three comprehensive education” of big data
Authors: Ou Zhihua , Zhu Junzhang
Published: October 2023

In this paper, the evaluation system of “three comprehensive education” physical education courses was firstly constructed by the entropy-TOPSIS method, and the weights of the evaluation indexes were determined by the entropy-weight method. Then, the scores of teaching effectiveness indicators were calculated, and the results of the first-, second- and third-level indicators were analyzed to evaluate the effectiveness of “three-inclusive education” physical education in colleges and universities. Ultimately, the learning effects of students of different stages and genders were compared, and the reasons for the disparities were thoroughly examined. The overall effect of teaching physical education on the concept of 'three holistic education' is 0.716, which is at the middle level. Male students had a mean value of sports participation of 3.65, while female students had a mean value of 3.46, with significant differences between the two genders. The aim of this study is to promote the overall development of physical education in colleges and universities and enhance the overall quality level of students.
Effectiveness analysis of university education management applying principal component analysis method
Authors: Chen Xiuli
Published: October 2023

This paper examines the effectiveness of educational management in colleges and universities by analyzing the comprehensive quality evaluation of students through principal component analysis. In the study, this paper constructs a set of index systems for students’ comprehensive quality evaluation obtains principal components and determines the number of retained principal components by standardizing the original data and calculating the eigenvalues and eigenvectors of the correlation coefficient matrix. Through detailed assessment and analysis of student’s basic information, personal comprehensive quality evaluation and overall quality evaluation, conclusions about the effectiveness of education management in colleges and universities were drawn. The analysis showed that the overall evaluation scores of students A, B, C, D and E, 5 were 84.7, 90.7, 74.79, 78.09 and 84.86, respectively. From the evaluation results, the student's overall quality development was relatively balanced, and the overall evaluation was good.
Study on the optimization of college students’ emotion management strategies based on multivariate statistical analysis
Authors: He Shanshan , Sheng Shitao
Published: October 2023

In this paper, a factor analysis of emotion management competencies was conducted using multivariate statistical analysis for the emotion management strategies of college students. Five competencies, such as emotion regulation ability and seeking external support, were selected as exploratory factors, and KMO and Bartlett's sphericity test verified their feasibility. After the factors were identified, the correlation and influence of physical exercise on college students’ emotion management ability were investigated based on multiple regression methods, and optimization strategies were proposed in turn. In terms of exercise time, college students’ emotion management ability was significantly correlated with exercise time in general, and the correlation coefficient was 0.885. The intensity and frequency of physical exercise showed a linear relationship with college students’ emotion management ability, and the coefficients of the standardized regression equation were 0.325 and 0.246, in turn.
On the legality of the director’s mandate in a Romanian Joint Stock Company
Authors: COJOCARU Cristina
Published: October 2023

A recent decision of the Romanian High Court of Cassation and Justice (IInd Section, Decision no. 153 of 28 January 2021) draws attention to the attributions of the director in a legal entity. More specifically, how the powers and liabilities of the director should be handled if they have not been attributed according to the legal provisions or according to the internal statutes of the legal entity. Although the applicable law, i.e., the Company Law, has not been amended in this area following the economic crisis due to the pandemic situation generated by COVID-19, the legal provisions should still be observed so that the economic decision becomes effective in accordance with the law. Without being exhaustive, the article aims to underline the applicable legal provisions to the decisions of a company on the mandate of the director and the practical consequences if not observed.
PERFORMANSI WAVELENGTH DIVISION MULTIPLEXING PADA JARINGAN OPTIK
Authors: Mahesa Yoga Dewa Gede Agung , Graceline Sheena , Imanuel S Rizky , Sudiarta Pande Ketut , Diafari Djuni Harta I Gusti Agung Komang
Published: October 2023

The process of sending information is currently needed to be fast and efficient. One of the solutions to meet the needs of fast information is to use transmission via a Wavelength Division Multiplexing (WDM) network. The purpose of this study is to determine and analyze the performance of WDM networks and the impact that occurs when EDFA is added and its use in PON networks. This research will utilize optisystem 7.0 software in carrying out design simulations and finding out the results of receiver power, q-factor, and BER which will then be used as a comparison in this study. The results of the analysis provide evidence that the use of WDM in the delivery process is more efficient because it can transmit several wavelengths at a time, but will have a negative effect on distance, but this can be overcome by using EDFA in WDM networks. The use of WDM-PON will expand the scope of the process of sending information. The results of this study can prove the performance in the use of WDM. In the future, it is necessary to carry out further research by adding other comparison parameters so that the results obtained will be more certain. As well as the use of the latest version of the optisystem application will help and facilitate the process of collecting information and data.
PERENCANAAN PEMBANGKIT LISTRIK TENAGA SURYA (PLTS) OFF GRID DI PT. GEBER SAMUDRA
Authors: Aji Wicaksono Suryo , Sari Hartati Rukmi , Sukerayasa I Wayan
Published: October 2023

Indonesia has a great opportunity to utilize new renewable energy sources for conversion to electric power. One possible use of renewable energy is solar power plants (PLTS). The average potential of solar energy in Indonesia is around 4.8 kWh/m2/day. Therefore, this study is related to the design of PLTS on the roof of PT. Geber Samudra is off the grid. The design of this solar power plant is made with the help of Helioscope software with a total roof area of 125.71 m2 and a roof slope of 20°. The potential power generated is 9.8 kWp and the total annual energy production is 15.56 MWh. It takes 28 pieces of UKSOL UKs-6M 350wp solar panels, 1 Solax X3 HYBRID 10.0 T type inverter with a capacity of 10 kW, and 6 units of 48V 100Ah batteries assembled in series. Based on the results of PLTS roof design can be analyzed that the planning of PLTS roof at PT. Geber Samudra is considered worthy because it meets the criteria of net present value (NPV) of Rp. 25.603.062 is greater than zero. The Benefit-Cost Ratio (B-CR) is greater than one which is 1.12, and the discounted payback period (DPP) is 21,8 years and is achieved at the age of PLTS with the assumption of operating for 25 years.
ANALISA EKONOMI RANCANGAN PLTS OFF-GRID PADA ADIDAYA WORKSHOP
Authors: Putra Ariantika I.P. Dika , Setiawan I.N. , Sukerayasa I.W.
Published: October 2023

The PLTS Off-Grid design at the Adidaya Workshop as an additional power supplier is based on the load needs used for the equipment and operational on the workshop. PLTS Off-Grid features are economically likely to take a long time to make a profit. This study deals with the economic analysis of the PLTS Off-Grid system design using the Net Present Value (NPV) analysis method and aims to find out the comparison projections between output and output of the Off-Grid PLTS project at the Adidaya Workshop during the estimated life of PLTS will operate over 20 years. After the calculation, it was obtained that 1th Scenario using a variation of the solar panel capacity of 300 Wp with a battery of 540 Ah produced the largest RAB demand value worth Rp. by 286.038.441 While the smallest RAB requirement value is generated from 4th Scenario using a variation in solar panel capacity of 300 Wp with a 540 Ah battery worth Rp 252.093.730. The largest and the smallest NPV values are also generated by 1th and 4th Scenario with the NPV value of -Rp 316.734.509 and –Rp 251.285.665.
Examination of Structural Characteristics and Biosecurity of Sheep Farms in Niğde Province
Authors: Şen Özgür Tarık , Durmuş Murat , Koluman Nazan
Published: October 2023

The aim was to examine the structural features and biosecurity practices of sheep farms operating in Niğde province. For this purpose, 75 farms operating in the region were classified according to size (number of animals) and production system (extensive and intensive) and, they were compared in terms of typology and biosafety. In this context, a face-to-face survey was conducted with the owners or authorized persons of the small, medium and large size farms and the data collected from the farms about technical, sanitation-hygiene and health protection were comparatively presented. According to the findings obtained from the study, manure and wastes produced in 24% of farms were seen randomly throwing into the environment, and the differences observed between farms depending on the farm size were found significant (P<0.05). These farms can become a potential source of environmental and odor pollution. In addition, it was determined that disinfection was not applied to a large extent (97.30%) as a preventive measure at farm and shelter entrances (P>0.05). At the end of the study, it has been concluded that the typology and biosafety practices could be an important support for future strategic programs against disease and other factors which affects the production of the Niğde region.
Legal Certainty of the Right to Severance Pay for Workers Who Retire in Companies That Undergo Acquisitions
Authors: Ramadhan Fajar , Karsona Agus Mulya , Singadimeja Holyness N
Published: October 2023

The ease of transactions in the digital era has resulted in increased competitiveness between companies in the trade sector. To maintain the existence of the company, it is not uncommon for companies to restructure through the acquisition process. However, the acquisition process has an impact on the existence of workers in the previous company, especially on workers entering retirement age. Law Number 6 of 2023 on Job Creation Article 61 paragraph (3) regulates the transfer of responsibility for workers' rights which illustrates that the new employer is responsible for fulfilling workers' rights, but the transfer agreement allowed by this law does not guarantee the fulfillment of workers' rights as a whole. Therefore, it is necessary to know the legal certainty of workers entering retirement age in companies that experience acquisitions and the implementation of severance pay rights for workers entering retirement age in companies that experience acquisitions. The legal approach involves looking at secondary data or library resources. The results showed that Law Number 6 of 2023 on Job Creation concerning Interim Replacement (PHK), employees who have been laid off eligible for severance money, long service pay, and compensatory pay. The rights of workers affected by termination of employment on the grounds of entering retirement age in companies experiencing takeover are calculated based on the length of service of workers in a company, as well as the rights that have not been obtained by workers during their work which can be used as nominal money.
Economic Feasibility of Ginger Emprit Extract Drink (Zingiber officinale Var. Amarum) using CMC Stabilizer
Authors: Farhan Ahmad , Kasim Anwar , B Rini
Published: October 2023

The tempe industry is one of the most numerous industries in Indonesia, so there is a high opportunity for making tempeh juice in the tempe industry. The application of tempeh in the manufacture of tempeh essence drink with emprit ginger extract is expected to provide benefits to the tempe industry in Indonesia. Tempe juice drink is one of the processed food products made from tempeh. Tempe juice drink is added with emprit ginger extract to remove the unpleasant aroma from tempeh and give flavor to the tempeh juice drink. On manufacture Tempe juice drink Emprit ginger extract need addition material CMC stabilizer for increase stability and viscosity product . Study This aim To determine the economic feasibility, an economic analysis was carried out regarding the feasibility of applying tempeh juice in the tempe industry. The research begins with making assumptions and analyzing the parameters, components and cost structure, the need for investment funds and working capital. This parameter calculates projected production, revenue and cash flow. Determination of the economic feasibility of the Tempe juice drink with Emprit ginger extract with the Net Present Value (NPV), Incremental Rate of Return (IRR), Net B/C and Pay Back Period (PBP). The assumption of drinking tempeh juice with emprit ginger extract in a year is 45600 bottles at a price of IDR 10,000.00 / bottle . The proportion of capital comes from 60% own capital and 40% credit. The average operational cost per year is IDR 278.606.467.00, variable costs Rp 233.606.467.00, and a flat fee of Rp 45.000.000.00 . Average income per year Rp 319.200,000.00 while spending Rp 304.017.802.00.  The profit earned is Rp 151.982.198. Sales profit 2 8.33 % with 15% tax per year. This business BEP occurs in sales with an average value of Rp. 151.982.198 or 33,33 % of production capacity per year. The results showed that the NPV was Rp 156.180.415, IRR is 53 %, and Net B/C is 1.82 times. Based on existing criteria or assumptions, this business is feasible to run with PBP for two years, or the capital invested in this business can be returned before the project ends (3 many years).
Analysis Of The Influence Of Brand Awareness, Brand Associations, And Lifestyle On Purchase Decision Process iPhone (Consumer Survey in Padang City)
Authors: Aswin Ullya Rahmi , Hidayat Danny , Gustina Leni
Published: October 2023

This study aims to determine the influence of Brand Awareness, Brand Association, and Lifestyle in the iPhone Purchase Decision Process in Padang City. The data analysis method used is Validity Test, Reliability Test, Multiple Regression Analysis, Hypothesis Test consists of Partial Test (t Statistical Test), Simultaneous Test (F Statistical Test), and Determination Coefficient Test (R2). The work was carried out using SPSS 17. The data used are primary data and secondary data. This study used a sample of 100 research respondents. The results of this study indicate that data analysis using the multiple linear regression analysis method shows that Brand Association and Lifestyle have a positive and significant effect on consumers' decision to buy an iPhone, while Brand Awareness has a positive but not significant effect on the consumer's decision process in buying an iPhone. Based on the t-test that the three most dominant variables influencing the decision process to purchase the hijab are Lifestyle (X3) with a t value of 0.532. Adjusted analysis of the coefficient of determination obtained an R2 value of 39.7%, which means that the dependent variable, namely the purchase decision process, can be explained by the independent variables, namely Brand Awareness, Brand Association and Lifestyle and the remaining 60.3% is not influenced by other variables. included in this research.
ВПЛИВ ПЕРЕДПОСІВНОЇ ОБРОБКИ НАСІННЯ МЕТАБОЛІЧНО АКТИВНИМИ РЕЧОВИНАМИ НА КІЛЬКІСНІ ТА ЯКІСНІ ПОКАЗНИКИ ВРОЖАЮ КОРЕНЕПЛОДІВ МОРКВИ СОРТУ НАНТСЬКА
Authors: Pryplavko S. O. , Havii V. M. , Sheiko V. I.
Published: October 2023

The development of agriculture necessitates the adoption of new and effective methods to increase yields and enhance product quality. Obtaining high-quality agricultural products is becoming increasingly challenging due to climate variations, soil depletion, and decreasing arable land. These factors underscore the need to explore additional technologies that can enhance the cultivation of crops to meet the demand for quality produce. Pre-sowing seed treatment with metabolically active substances represents one such promising technology.

The objective of our study was to investigate the impact of metabolically active substances and their combinations on the processes of yield formation and the quality of carrots from the Nantska seed variety. The following substances were used for pre-sowing treatment of carrot seeds: vitamin E, ubiquinone-10, paraoxybenzoic acid (POBA), methionine, and magnesium sulfate (MgSO4).

Our findings revealed a positive influence of metabolically active compounds on various parameters, including root length, thickness, average root mass, and sugar content in the carrots. The combination of substances, specifically vitamin E + POBA + methionine + MgSO4, exhibited the most significant effect on root length throughout the growth period, surpassing control measurements by 5.23 % to 14.5 1%, depending on the stage of the study. All tested compounds, except for the vitamin E solution, had a favorable impact on the average root mass. Pre-sowing seed treatment with ubiquinone-10 resulted in the highest monosaccharide content in carrot roots after one month of storage, surpassing control measurements by 13.2 %. Although the monosaccharide and disaccharide content in carrot roots decreased during storage in all studied conditions, it remained higher compared to the control measurements, indicating enhanced nutritional value.

In summary, pre-sowing seed treatment of carrots with metabolically active compounds and their combinations demonstrates the potential to improve both quantitative harvest indicators and sugar content in carrot roots, reflecting increased nutritional value. Incorporating pre-sowing treatment with metabolically active compounds into cultivation practices can be valuable in the production of vegetable crops.
БАРНА МИКОЛА МИКОЛАЙОВИЧ – ВІДОМИЙ УКРАЇНСЬКИЙ ВЧЕНИЙ–БОТАНІК, ЦИТОЕМБРІОЛОГ, ЗАСЛУЖЕНИЙ ДІЯЧ НАУКИ І ТЕХНІКИ УКРАЇНИ, ПЕДАГОГ
Authors: Drobyk N. M. , Pyda S. V. , Barna L. S. , Herts N. V. , Matsiuk O. B.
Published: October 2023

Mykola Mykolaiovych Barna, who celebrated his 85th birthday on February 8, 2023, is a renowned Ukrainian scientist in the fields of botany, morphology, dendrology, and plant cytoembryology. He holds the titles of Academician of the Academy of Sciences of Higher Education of Ukraine, Merited Science and Technology Functionary of Ukraine, Education Excellence of Ukraine, Nature Conservation Excellence of Ukraine, and is an Honorary Member of the Ukrainian Botanical Society. He is also a scholarship holder of the Cabinet of Ministers of Ukraine, a Doctor of Biological Sciences, and a Professor at the Department of Botany and Zoology at Ternopil Volodymyr Hnatiuk National Pedagogical University.

This article highlights Professor’s impressive 62-year career in production, research, education, pedagogy, and public service. He began as a lecturer and senior lecturer at the Department of Botany in 1971, became an associate professor in 1975, and a professor in 1996. He served as the head of the Department of Botany from 2002 to 2012 and as the head of the Department of Botany and Zoology from 2012 to 2014. Additionally, he held positions such as Deputy Dean of the Faculty of Natural Sciences from 1977 to 1985 and Dean of the Faculty of Chemistry and Biology from 1990 to June 2006.

Professor M. M. Barna’s extensive scholarly output includes over 450 published works, including monographs, bibliographies, dictionaries, scientific publications, educational materials for high and secondary education institutions, and methodological recommendations. He has supervised the defence of seven PhD theses and served as an official opponent at academic councils for the defence of doctoral and PhD theses. He was a member of specialised academic councils at the M. G. Kholodny Institute of Botany of the National Academy of Sciences of Ukraine and the National Forestry University of Ukraine. For over two decades, he chaired the editorial board of the specialised scientific publication “Scientific notes of Ternopil Volodymyr Hnatiuk National Pedagogical University. Series: Biology.”

Professor Barna's contributions also extend to initiatives such as the establishment of the Arboretum of Ternopil State Pedagogical Institute, the creation of the herbarium of the Department of Botany (now the “Herbarium-laboratory of plant morphology and taxonomy”), and the establishment of the laboratory of biology and ecology known as the “Holytskyi biostation of the university.” He played a crucial role in the realisation of the Biblical Botanical Garden on TNPU’s premises, turning this idea into a reality. Professor Mykola Mykolaiovych Barna's lifelong dedication to science and education has left an indelible mark on his field and the academic community.
ВПЛИВ ОБРОБКИ НАСІННЯ МЕТАБОЛІЧНО АКТИВНИМИ РЕЧОВИНАМИ НА ФОРМУВАННЯ КСЕРОМОРФНОЇ СТРУКТУРИ ЛИСТКІВ ТА ВОДНИЙ ПОТЕНЦІАЛ ПАГОНІВ ПРОРОСТКІВ ПШЕНИЦІ М’ЯКОЇ (TRITICUM AESTIVUM L.) ЗА УМОВ ВОДНОГО ДЕФІЦИТУ
Authors: Palivoda Y. M. , Havii V. M.
Published: October 2023

The article offers a comparative analysis of how metabolically active substances, individually and in combinations, affect the development of xeromorphic leaf structures and the water potential of shoots in common wheat (Triticum aestivum L.) seedlings when subjected to water deficit conditions simulated using PEG 6000.The study involved the use of 10 options for seed treatment : control (untreated seed + distilled water); PEG 6000 solution (12 %); solution of vitamin E (10-8M) – E; ubiquinone-10 solution (10-8M) – Q; methionine solution (0,001 %) – M; solution of paraoxybenzoic acid (POBА) (0,001 %) – P; MgSO4 solution (0,001 %) – Mg; combinations: vitamin E (10-8M) + ubiquinone-10 (10-8M) – EQ; vitamin E (10-8M) + methionine (0,001 %) + POBА (0,001 %) – EMP; vitamin E (10-8M) + methionine (0,001 %) + POBА (0,001 %) + MgSO4 (0,001 %) – EMPMg. Experimental water deficit is simulated with a 12% solution of PEG 6000.

It was observed that treating T. aestivum wheat seeds with solutions of paraoxybenzoic acid, ubiquinone-10, and magnesium sulfate under conditions of water deficit resulted in a 17.7 %, 16.5 %, and 16.2 % increase in the assimilation surface area of seedlings, respectively, compared to those subjected to water deficit conditions simulated using PEG 6000. Furthermore, the treatment of T. aestivum wheat seeds with solutions of ubiquinone-10, methionine, and the combination of vitamin E + ubiquinone-10 stimulated chlorophyll synthesis in wheat leaves, resulting in a 14.4 %, 11.3 %, and 15.4 % increase, respectively, compared to the group of plants whose seeds were germinated under conditions of slow water supply, resulting in a smaller leaf surface area, which is indicative of a xeromorphic leaf structure.

Treating the seeds with these specific solutions enhances photosynthetic productivity in conditions of moisture deficit by reinforcing the xeromorphic structure of the leaves. This underscores the high adaptability of wheat from the Provintsialka variety to drought conditions.

It was determined that pre-treating seeds with a combination of vitamin E, methionine, paraoxybenzoic acid (POBA), and magnesium sulfate (MgSO4) resulted in a 1.1 % increase in water accumulation in the shoots, in comparison to the measurements obtained from seedlings whose seeds were exposed to water deficit conditions simulated using PEG 6000.

Consequently, the application of metabolically active substances in seed treatment proves to be effective in enhancing the drought resistance of soft wheat T. aestivum. This approach can be incorporated as an integral component of the technology for cultivating grain crops under conditions of water deficit.