bluuebunny/crossref_metadata_2025 huggingface dataset:
Integration of Computer-Assisted Teaching Technology in English Online Education Platforms
Authors: Wang Hongjuan
Published: August 2024

This study proposes an English online education platform centered on the English teaching resource management module and the teaching resources personalized recommendation module on how to closely integrate computer-aided technology into English teaching. In the English teaching resource management module, the fuzzy comprehensive evaluation method is utilized to evaluate teaching resources. An improved placement algorithm, ERRPA, based on the rating of educational resources, is proposed to improve the insufficiency of HDFS files and achieve allocation node modeling. In the English teaching resources personalized recommendation module, then a collaborative filtering algorithm for user clusters is proposed to filter some noisy users using the UCC algorithm, and mix the predicted ratings with the actual ratings through the rating mapping to obtain good recommendation prediction results. In the teaching application of the English online teaching platform, the passing rate of the subject students was improved by 13.79%, the average learning tasks were completed by 59.1% in the online learning behaviors, and the average learning video viewing time reached 89.2 minutes. Learning interest, learning attitude, and sense of independent learning in learning status were improved by 3.2, 4.38, and 4.28, respectively, compared with the pre-experiment, showing highly significant differences (P<0.01).
Application of nonlinear signal analysis in millimeter-wave radar blood flow rate monitoring
Authors: Zhang Lina
Published: August 2024

Due to the advantages of millimeter-wave radar, such as its relatively simple structure, small size, high sensitivity, etc., it is used to obtain the human pulse signal and blood flow signal. Using the methods of mean cancellation, phase differencing, and smoothing, static clutter removal and heartbeat signal enhancement can be achieved, which can effectively eliminate interference information. Based on the collected information, the three-dimensional Navier-Stokes equations and boundary conditions are determined, and the theoretical knowledge related to fluid mechanics and bioengineering is used to construct the model of the multidimensional blood monitoring system, and the nonlinear signal analysis method is used to analyze the application of the constructed model. Based on the data, there is only a 0.1% difference between the waveform of the blood vessel diameter measured by the multidimensional blood monitoring system and that of the blood vessel diameter tested by commercial ultrasound equipment. The waveform trend is also consistent. In addition, the blood flow velocity at point 5 was much greater than that at point 2, when the vessel stenosis exceeded 50%. This study can accurately and efficiently monitor blood flow velocity for single and multiple individuals, which is critical for the healthcare field's development and innovation.
Intelligent Generation System for Personalized Physical Training Programs and the Effect of Practical Application
Authors: Meng Qingbo
Published: August 2024

With the comprehensive construction of quality education, physical training is an important way to cultivate students’ physical quality, and its related construction is gradually receiving comprehensive attention and support. This paper discusses the intelligent generation scheme of sports training plans, which aims to meet the individual needs of students through algorithms while developing the best training plan for them. This paper first introduces the overall architecture of the sports training program generation system. Secondly, the association rule method is utilized to mine the sports training data, and after elaborating the concept of association rules, the FP-growth algorithm is proposed to carry out the data mining work with the FP tree at the very beginning as the core. Then, a decision tree model based on the ID3 algorithm is constructed to correctly classify the training program based on the attributes selected at each level of nodes in order to obtain the attributes with maximum information gain. An empirical analysis of students from all grades in a school showed that there is a correlation between the various sports training programs of male and female students. After using the sports training program generation system designed on this basis, the boys’ 50-meter run performance (P<0.01), boys’ standing long jump performance (P<0.05), and girls’ 50-meter run performance (P<0.05) were significantly improved.
Strategies for Cultivating Oral Proficiency in English Teaching and the Construction of Evaluation System
Authors: Wang Qi
Published: August 2024

Today’s society promotes and improves teaching in various ways. However the teaching of spoken English still lacks the guidance of scientific method. The importance of oral teaching is becoming more and more prominent in English teaching. Therefore, this paper proposes specific oral teaching training strategies to explore effective methods of oral evaluation after applying the DTW construction strategy. The cultivation strategy of spoken English has been improved from the perspective of teachers. The speech evaluation system is designed and implemented to normalize the speech signal and then add windows to it in frames. SMFCC, volume intensity, and fundamental trajectory were chosen as the feature parameters of the system comparison. Parameters were extracted from the amplitude spectrum, and after feature extraction, parameter distance calculation was carried out on the feature parameters so as to get the results of English-speaking level scoring. According to the study, the teaching model that incorporates the English-speaking development strategy significantly improves the students’ speaking ability compared to the control class. Moreover, the evaluation system’s performance in terms of exact agreement rate and neighbor agreement rate is consistently above 90%, which indicates that the system can objectively evaluate the students’ oral proficiency.
Construction and Optimization of Deep Learning-based Innovative Experimental Platform for Mathematical Intelligence in Electricity Major
Authors: Wang Qiuyan , Xiong Yuejia
Published: August 2024

Due to the lack of management capability of the model development process on traditional experiment platforms, they cannot meet the continuous experimentation, reproducibility, and traceability needs of university researchers in the model development process. For this reason, the authors propose research on the design and optimization of a platform for digital intelligence innovation experimentation that is combined with deep learning. Through a theoretical analysis of the key technologies used in the deep learning development platform, the authors summarise the design structure of the deep learning innovation experiment platform. The algorithm management module, training management module, and model deployment module primarily construct this structure. Aiming at the problem of the slow computation speed of the platform in large data sets and high-dimensional space, a gradient descent algorithm is used to optimise the platform. The platform is validated and analyzed in terms of performance testing and application effects. The results show that the experimental platform optimized by the gradient descent algorithm has a higher throughput than the traditional experimental platform, and the difference is 0.1~1.5. Also, class A’s total score on experimental reflection ability (2.58±0.877) was significantly higher than class B’s (1.48±0.377) after the experiment, and the p-value was less than 0.05, which showed that the new experimental platform was more likely to improve students’ experimental reflection ability than the old way of teaching.
A Study on the Construction of Hakka Sports Culture Data Model and Its Innovative Effect in the Modernization Process
Authors: Cui Shengli , Wang Shuiquan
Published: August 2024

By analyzing the theory of the origin of Hakka sports culture, the characteristics of Hakka sports culture are summarized. Based on the principle of evaluation index system construction, the evaluation indexes of Hakka sports culture are initially formulated, and the coefficient of variation is used for screening to finalize the evaluation index system of Hakka sports culture, which consists of 4 first-level indexes and 13 second-level indexes. Based on the scale table, the indicators are compared two by two, the corresponding judgment matrix is constructed, and the judgment matrix is normalized by using the fuzzy hierarchical analysis algorithm to get the evaluation indicator weight values, and the consistency test is conducted on its weight values. According to the steps of the fuzzy comprehensive evaluation, a set of evaluation phrases is formulated to verify and analyze the evaluation model of Hakka sports culture. The results show that the sports behavior culture (0.3461) > sports material culture (0.2456) > sports institutional culture (0.2285) > sports spiritual culture (0.1798), while the comprehensive evaluation analysis result of Hakka sports culture is 3.3707, and the comprehensive evaluation grade of Hakka sports culture in the region is in the range of average to good, and summarizes the innovation effect of Hakka sports culture. The development of Hakka sports culture is promoted by this study, as well as the value and influence of China’s excellent national traditional culture.
Optimization of Informatization Communication Pathway of Chinese Traditional Culture Based on Multi-objective Optimization Algorithm
Authors: Yang Shuai , Ju Jingyi
Published: August 2024

With the development of Internet technology, social networks have gradually become the main medium for interpersonal information exchange and a broad platform for information dissemination. The dissemination process of traditional Chinese cultural information in social networks is characterized by fast dissemination speed and low dissemination costs. Based on the perspective of multi-objective optimization, this paper constructs a multi-objective optimization model to maximize the influence of Chinese traditional culture information dissemination, taking into account factors such as structural influence, user interest, and dissemination cost. The classical influence maximization algorithm is used to obtain influential nodes as candidate seed sets, and the structural influence, interest of the affected users, and dissemination cost of the seed sets are calculated. And use the evolutionary multi-objective optimization algorithm to obtain the undominated solution set for multi-objective influence maximization. Finally, validation experiments of the proposed solution scheme are conducted on citation networks based on real social network data. The user participation of mass culture information in social network communication ranges from 0.721 to 0.785, while niche culture information ranges from 0.201 to 0.332, and there is a difference in the informational communication effect between the two, which suggests that the proposed method can provide more flexible decision-making suggestions for Chinese traditional culture communicators.
Methods and Practices of Dynamic Programming Algorithms to Promote the Fluency of Japanese Literary Metaphor Translation
Authors: Su Wei
Published: August 2024

This paper uses a dynamic programming algorithm to achieve automatic sentence alignment for Japanese-Chinese metaphor translation, based on a bilingual dictionary. The dynamic programming algorithm is utilized to find out the sentence pair path from the beginning to the end of the text paragraph with the largest total evaluation value, and the sentence pairs on the path are output in reverse, which are the aligned sentence pairs of the paragraph. Using the translation dictionary and dynamic programming algorithm to align the algorithm for obtaining Japanese-Chinese translations, the correctness rate of the final extracted translation units is 85.19%, and the recall rate is about 62.2% by sampling test, and compared with the traditional alignment algorithms, the fluency of the dynamic programming alignment algorithm is about 15%–23% higher. The algorithm not only inherits the advantages of the dictionary word-based alignment algorithm but also enhances its shortcomings, thereby improving both the correctness and fluency of the alignment. According to the statistics on sentence length relationships between Chinese and Japanese metaphorical translation, the more stable the relationship is, the longer the text length. A significant difference can be seen in the Sig values of fluency between manual translation and the dynamic planning alignment algorithm, which are less than 0.01.
Quantitative analysis of landscape changes in geoparks combined with GIS
Authors: Chen Meijun , Zheng Jie , Si Ruijie
Published: August 2024

Geoparks are both the concentration of valuable geological remains and an important carrier of tourism activities. Relying on a geographic information system (GIS), this project takes the landscape change of a geopark from 2005 to 2020 as an example, and after processing the remote sensing images, quantitative analysis is carried out by using the landscape pattern index method, which reveals the landscape change characteristics of the sample geopark. The data related to natural and human factors was collected, and the driving factors of landscape changes in geoparks were analyzed by combining probes. The main landscape types of the sample geoparks are cropland, woodland, and rocky desertification land, and the study period presents landscape changes of decreasing cropland area (22.96%), fluctuating woodland area, and increasing desertification area (37.40%), and the development of the park landscape changes presents irregularity and complexity. The main drivers of landscape change in geoparks are geological conditions, topography and geomorphology, vegetation, economic development capacity, and ecological environment quality (q value = 0.438~0.521), of which economic development capacity and ecological environment quality play a dominant role in the interaction of factors (0.86).
A study of preschool integration of deep learning to optimize the content of personalized education for young children
Authors: Ding Yanyun , Li Yongxia
Published: August 2024

With the reform and development of modern education curriculum, the focus of preschool education has changed from focusing on the “learning results” to the “learning process” of young children, and deep learning, as a hot trend of education reform, is an important way to implement education reform in pre-school education, which is based on problem-solving, emphasizing on the application of migration, and focusing on the reflective construction. Deep learning, a trend of educational reform that is based on problem-solving, emphasizes transfer and application, and focuses on reflection and construction, is an important way to implement educational reform in preschool education. This study first explores the connection between preschool education and deep learning, collects the problems of deep learning in preschool education through a questionnaire survey, and builds a personalized preschool education model based on deep learning in combination with DELC theory. The teaching effect of the deep learning preschool education model is explored through educational comparison experiments in this paper. The mean value of the preschool education model of this paper compared with the traditional preschool education in the four dimensions of learning motivation, learning input, learning strategy, and learning outcome were increased by 2.00~4.00 points, respectively, and the Sig values were all less than 0.05. Meanwhile, the average grade of this paper’s teaching model was 65.124 points, which was increased by 3.112 points compared with the average grade of the traditional cumulative preschool education model, proving that this paper’s effect of the application of deep learning personalized preschool education mode, which has a significant advantage in the degree of deep learning and learning achievement. In addition, this study provides suggestions for the development of deep learning in preschool education from the levels of teachers, teaching materials, teaching curricula, and external support so as to promote the process of deep learning in preschool education.
Application of Intelligent Remote Control Combined with Machine Vision in Coal Mine Electromechanical Equipment
Authors: Du Yujing
Published: August 2024

In this paper, the machine vision integration method is first investigated to design the coal mine working environment monitoring system for electromechanical equipment. Then, the PID control algorithm is used to remote control various electromechanical equipment in coal mines. Finally, we analyze the effect of the intelligent remote control function combined with machine vision on the coal mine electromechanical monitoring and environmental monitoring, analyze the effect of machine vision device with deviation detection and coal pile detection effect, as well as compare the optimization results and fault separation correct rate of different machine vision fault diagnosis methods for electric power equipment. According to the results, the fault diagnosis adaptability of the optimization results of power equipment fault diagnosis using this paper’s method is approximately 95, and the fault separation accuracy rate is between 92% and 96%.
GPT Modeling for English Learning Assistance Functions in Non-Native Language Environments
Authors: Lu Shuting
Published: August 2024

In this paper, we design an English multi-round dialogue model based on the pre-trained model GPT-2 and use Top-p and Top-k sampling instead of greedy search and cluster search sampling to optimize the decoding strategy. After that, a dialog history keyword replication mechanism is introduced to improve context consistency. Based on the GPT-2 English Multi-Round Dialogue Model, a conversational teaching model for teaching English in a non-native language environment has been constructed. The impact of this teaching model on students’ theoretical learning and teaching skills was examined. The results show that the BLEU1 index value of the GPT-2DH model after pre-training in the chatterbot corpus is 0.356, which is almost twice as much as that of seq2seq. As a result, the model in this paper is superior. Compared with traditional teaching methods, the GPT dialogic learning model significantly improved students’ theoretical learning performance, English listening and speaking skills, learning attitude (P=0.029<0.05), and extrinsic learning motivation (P=0.046<0.05) but had no significant effect on their instructional design skills and intrinsic learning motivation.
A Study on the Role of Textual Data Analysis of Ancient Poetry in Decision Making on Urban Cultural Construction
Authors: Wang Zhongjun
Published: August 2024

Cultural construction is an essential and increasingly important part of urban construction. Today’s urban document construction is heavily influenced by ancient poetry, which is one of the best parts of Chinese culture. Based on the realistic value of ancient poetry in urban culture construction, the study constructs an ancient poetry text mining model using the Word2Vec model, keyword word extraction algorithm, and text classification algorithm. Taking Hangzhou as an example, the study conducts text mining and data analysis on ancient poems related to Hangzhou, extracts the elements that are useful for urban culture construction to construct an evaluation index system for urban culture construction, and finally puts forward the corresponding development suggestions based on the results of urban culture construction evaluation. The majority of the landscape words in ancient poems related to Hangzhou are natural, with 7591 natural landscape words appearing and 4516 humanistic landscape words appearing. Excluding the indicator of ecological greening facilities, the indicator of Hangzhou’s urban culture construction with the highest score is natural landscape, with a score of 0.858184, and the lowest score is humanistic landscape, with a score of 0.643769. This shows that Hangzhou’s humanistic landscape construction in urban culture construction is still insufficient, and there is still room for improvement, it is necessary to focus on the enhancement of the humanistic landscape to improve the overall level of urban culture construction. There is still room for improvement.
An Empirical Study on the Reversal Effect of English Teaching in Colleges and Universities in the Internet Era
Authors: Ren Lei , Xia Ying , Lv Meiqin
Published: August 2024

This paper begins with the innovation of English teaching in colleges and universities during the Internet era. It then presents innovative application strategies, exemplified by the online learning platform and online teaching quality evaluation. Finally, it conducts empirical research on the reversal effect of English teaching in colleges and universities during the Internet era, using application analysis. Text information extraction is accomplished by mutual information technology; teaching resource transmission and scheduling are realized by the Markov chain; collaborative filtering of teaching resources is carried out; and an online learning platform is constructed. Create an online assessment ensemble for teaching quality, set assessment constraints for optimization, generate an affiliation function for English teaching quality assessment and construct an algorithm for English teaching quality online assessment. Conduct teaching practice at the University of Rochester to empirically demonstrate the effects of counterbalancing on English teaching in colleges and universities. After the practice, the speaking, reading, and writing test scores of the subject students increased by 2, 2.41, and 1.46, respectively, compared to their pre-practice scores, and their learning anxiety decreased. During the practice period, English class attendance was stable at more than 90% since the 5th week, and the dimensions of English learning ability were higher than 3.5. The subject students also had high satisfaction attitudes toward the overall quality of English teaching.
A study on the morphological evolution of college students’ employment concepts in response to the digitalization context
Authors: Zhang Hainan , Feng Pengyu
Published: August 2024

In recent years, the government has attempted to address the issue of college student employment in relation to national harmony and stability. Against the backdrop of the current era, the study investigates the employment concepts of students at a comprehensive university, analyzing the evolution of these concepts based on survey data on college students’ employment and entrepreneurship status in recent years. Afterward, the study identifies the variables associated with the employment concept and direction, employs the multinomial logit model for regression analysis and average marginal effect analysis to investigate the factors influencing the employment concept, and subsequently develops effective countermeasures to foster the correct employment concept among college students. The main employment destinations of college students are graduate school (27.9%~37.7%), enterprise employment (26.5%~31.2%), public examination (8.5%~10.4%), and flexible employment (9.6%~18.6%). It reveals that the most valued employment factors among college students have shifted from career prospects to welfare treatment, with pragmatism and diversification emerging as key development trends in their employment concepts. Colleges and universities should accelerate the pace of vocationalization reform, strengthen students’ quality education, guide college students to correct their employment attitudes, and promote the formation of correct employment concepts among college students.
Beauty is in the Eye of the Colonizer: South Asian-Canadian Women’s Narratives of Shadeism
Authors: Kumbhare Shaila
Published: August 2024

The present study investigates the experiences of second generation South Asian-Canadian women with shadeism. Two narrative interviews were conducted and analyzed thematically. Results indicate that collaborators had a desire to be fair that was shaped by their generational and intra-familial relationships as well as the media they were exposed to. This desire led to their use of make-up and skin-lightening creams to achieve fairness. Insecurity about their skin tone had a negative affect on their relationship with themselves and their social networks, including their dating life and friendships.
Effect of Organic and Industrial Fertilizers on Reducing Sugar, Specific Gravity, Dry Matter and Starch Composition of Fresh Harvested Irish Potato Varieties in Musanze District Rwanda
Authors: Kanyarwanda Theophile , Habimana Sylvestre , Josiane Umuhoza Karemera Noella , Musana Rwalinda Fabrice , Mukamuhirwa Alphonsine
Published: August 2024

Potatoes for use in industrial processing must have a low reducing sugar concentration. This study investigates the impact of organic and synthetic fertilizers on the composition of Irish potato cultivars’ reducing sugar, specific gravity, dry matter, and starch. The research was conducted at Busogo Farm in Rwanda, using randomized complete block designs in seasons 2021 B and 2022 A with rate of ten tones per hectare under the doses of 100%, 50%, and 0% and three hundred kilograms per hector under the dose of 100%, 50% and 0% respectively for farmyard manure and NPK 17.17.17. Results showed significant effects of season and treatment on reducing sugar levels in potatoes. Twihaze and Kirundo varieties recorded high glucose (0.09%), while Gisubizo variety in control, recorded low glucose (0.01%). Additionally, the analysis of variance showed that Irish potato varieties with low to moderate and moderate to high glucose contents, respectively, experienced extremely significant (p 0.001) effects of farmyard manure and NPK on glucose content for the seasons 2021 B and 2022 A. The application of inorganic and organic fertilizers had a significant impact (p 0.05) on dry matter in seasons B and A, according to the analysis of variance. Additionally, the results demonstrated extremely significant (p<0.01) differences in specific gravity and starch in both seasons, with Kinigi variety having higher values of dry matter, specific gravity, and starch content in season B and A, respectively, of 24.58, 1.10, and 18.59%. Season 2022 A’s high decreasing sugar levels were caused by meteorological conditions brought on by the soil’s high moisture content as well as the maturity of the tubers. Due to its low level of reducing sugar, Gikungu, Kirundo, and Kinigi are excellent for chips whereas Twihaze variety is advised for boiling cooking methods.
Sustainable Supplier Selection Using Fuzzy AHP (AHP-F) and Fuzzy ARAS (ARAS-F) Techniques for Fertilizer Supply in the Agricultural Supply Chain
Authors: Atlı Hüseyin Fatih
Published: August 2024

Implementing the right strategies in the agricultural supply chain in the supply of seeds, pesticides, fertilizer, energy, fuel and agricultural mechanization tools and equipment has a great role in increasing agricultural productivity. The main purpose of the study is to rank and evaluate alternatives in choosing a sustainable fertilizer supplier in the agricultural supply chain by using AHP-F and ARAS-F techniques. In an environment of uncertainty and complex supply chain structure, multi-criteria decision making (MCDM) methods are widely used to solve supplier selection problems. In this study, the importance levels and weights of the criteria in the selection of sustainable fertilizer suppliers were measured by the AHP-F method. The criteria that are important for fertilizer supplier selection were evaluated by taking expert opinions, the uncertain and uncertain opinions of the decision makers were modeled with the AHP-F approach and the weights of the criteria were determined. Among the criteria, resource consumption (FSC05) has the highest weight. Then, alternative rankings were obtained with the ARAS-F method. Fertilizer supplier alternatives in the agricultural supply chain were ranked with the ARAS-F method, using the criterion weights found with AHP-F. In the ranking of alternatives, alternative fertilizer supplier FS03 ranked first with the highest value. This study provides a resource for businesses and other stakeholders to make decisions regarding sustainable fertilizer supplier selection.
Impact of Packaging Materials on the Shelf Life of Enriched Aadun (Maize Meal Snack commonly consumed by the Southwestern region of Nigeria)
Authors: Atteh Bamidele , Orhevba Bosede , Sadiq Abbas
Published: August 2024

Optimum condition at 64.80% maize flour, 20% groundnut paste and 13.20 % palm oil was formulated to produced nutritionally enhanced aadun snack. The snack was stored in the different storage materials namely, sweet prayer plant leaves (control) which is usually used by most locals, low density polyethylene (LDPE), high density polyethylene (HDPE) and food grade plastic container (PC). The initial properties (energy, oxidative and sensory properties) of the enhanced aadun (before storage) were investigated and stored in each of the storage materials. The enhanced aadun samples in each storage material were analysed at two weeks interval for eighteen weeks. The results obtained were analysed statistically to examine the effect of the storage material on the aforementioned properties. The results for energy content decreased significantly (P>0.05) in across all the samples stored. The free fatty acid, acid valve and peroxide value increased significantly (P<0.05) in all the storage materials during the storage period but only the samples stored in PC and HDPE were within the recommended limit of FAO (Food and Agricultural Organization) at the end of the storage period. The sensory quality of the control sample was acceptable up to 12 weeks while samples in other storage materials were still acceptable at the end of the storage period under ambient storage condition.
The Effects of Rearing Systems on Incubation, Egg Production and Quality Traits in Pharaoh Quails
Authors: Uçar Ahmet
Published: August 2024

This study was conducted to determine the effect of rearing quails in different rearing systems on egg production, egg quality characteristics, and incubation results. The 360 quails were distributed equally to 3 different rearing groups (cage, enriched cage, and floor) in a male:female mixed at the age of 3 weeks. The eggs were individually weighed and recorded one by one daily (5487 eggs) for 3 months. To determine egg quality and incubation characteristics, 750 eggs were broken, and 3284 eggs were incubated, respectively. The results showed that female quail in the floor group have lower body weight at 6 weeks old (177.19 g), and they reached sexual maturity (age of first egg laying) later (65.36 day, P<0.01), The lowest egg production (61.14%) occurred in the floor group during the 3-month egg production period (P<0.05). The lowest average egg weight (9.07 g) was determined in the floor group (P<0.05). It was determined that the eggs of quails raised in the enriched group had a rounder shape index because they have larger widths (P<0.01). While the highest average yolk height (11.24 mm) was determined in the enriched cage group (P<0.01), the highest averages of albumen length (72.41 mm) and lowest averages of yolk index (48.43%) were determined in the cage group (P<0.01). The lowest average values (113.17) in Haugh unit were detected in the floor group (P<0.05). The highest fertility rate (98.44%) was in Floor♂:Cage♀, the highest hatchability of fertile egg rate (94.67%) was obtained from Enriched♂:Cage♀, and the highest hatchability (89.10%) was obtained from Floor♂:Cage♀ pairing (P<0.05). The lowest fertility rate (88.00%) was obtained from the Enriched♂:Floor♀, the lowest hatchability of fertile egg rate (86.01%) was obtained from the Enriched♂:Enriched♀, and the lowest hatchability (75.62%) was obtained from the Enriched♂: Enriched♀ groups. As a result, it has been revealed that the effect of various rearing systems is different on egg production, egg quality traits, and hatching results in quails. Thus, it has been shown that different programs at the rearing period to be applied to the male and female quails can achieve better incubation results and reproductive success.
Comparison of Nonlinear Functions to Define the Growth in Intensive Feedlot System with XGBoost Algorithm
Authors: Çanga Boğa Demet , Boğa Mustafa , Tırınk Cem
Published: August 2024

The aim of this study was to define the growth by using nonlinear functions in intensive feedlot system with XGBoost algorithm. To achieve this aim, five nonlinear functions were implemented. To implementation of the study, Brown Swiss (n=41) and Simental (n=95) breed were used. Each nonlinear functions were examined for each breed. According to the results of the nonlinear functions, logistic model was the best prediction model for defining the growth of each breed. In this study, the parameters in the best prediction model were calculated individually and the relationship of these parameters with body weight was evaluated with the XGBoost algorithm. Model comparison criteria such as standard deviation ratio (SDratio), Pearson’s correlation coefficient (PC), determination of coefficient (R2) and Akaike’s information criteria (AIC) were used to evaluate the XGBoost algorithm. In conclusion, the XGBoost algorithm can be an effective and optional approach that allows breeders to estimate live weight from growth parameters. This algorithm can operate on large data sets with high accuracy and speed, leading to significant improvements in agricultural productivity and animal health management. XGBoost enables more accurate predictions by analyzing the effects of various characteristics (e.g., nutritional level, breed, age). Therefore, this method can be used to determine critical parameters such as body weight in animal breeding practices, serving as a powerful support tool for operational decisions.
Response of Some Pepper Genotypes to Cucumber Mosaic Virus (CMV) and Discrimination of Kilis Isolates Using High-Resolution Melting (HRM) Method
Authors: Balcı Melisa , Arpacı Bekir Bülent , Koç Mehmet , Erol Ümit Haydar
Published: August 2024

The escalating global population, diminishing agricultural lands, and the overarching global climate crisis are significantly impacting pepper cultivation. These challenges exacerbate the vulnerability of pepper plants to various biotic and abiotic factors, particularly viral diseases, resulting in diminished yield and quality. Cucumber mosaic virus (CMV), a notable concern for peppers in the Solanaceae family, is causing substantial quality and yield losses, with no effective chemical control methods currently available. This study focuses on exploring the genetic structure of CMV isolates obtained from pepper production areas in Kilis province and comparing these regions through the High-Resolution Melting (HRM) method. CMV isolates, cultivated in tobacco plants, have their partial coat protein sequences compared with those of other CMV isolates registered in the gene bank. The nucleotide sequences of identified CMV isolates are phylogenetically grouped and compared using an HRM graph. The HRM graph effectively distinguishes Kilis 3 and Kilis 4 isolates, clustered similarly to sequence patterns, from other isolates. The study highlights the utility of HRM analyses in identifying differences between isolates before determining sequence patterns. In the gene bank comparison, Kilis CMV isolates distinguished from others. Similarities were observed with isolates from Iran's Balsam (Impatiens balsamina - LC066478), Türkiye's Radish (Raphanus sativus - LC0665051), and Wild Turnip (Rapistrum rugosum - LC066514, LC066511, LC066517). The study found that Kilis 7 CMV isolate, transferred mechanically to 24 different pepper genotypes (C. annuum) from the local population, revealed susceptibility to CMV in the 24 lines developed from the Elbeyli population in Kilis province.
Monitoring Trends in Packaged Food Supply for Added Sugar and Sweeteners: Are We Jumping out of the Frying Pan into the Fire?
Authors: Gürbüz Murat , Demirel Selinay , Aykut Miray Nur , Erdoğan Esma Nur , Balcı Beyza , Özaslan Gözde
Published: August 2024

Excessive sugar intake can lead to poor health outcomes. The use of sweeteners is considered as a strategy to reduce added sugar consumption. The presence of sweeteners in food products has increased significantly in many countries. Therefore, the aim of this study was to identify the added sugars and sweeteners in packaged products. 1550 (57.9%) out of 2676 food products contained at least one added sugar. Confectionery and desserts (35.38±24.82 g/100 g), and snack foods (20.70±16.20 g/100 g) were the main categories containing the highest amount of added sugar. 229 (8.6%) out of 2676 food products contained various types of sweeteners. The most popular added sugar was sucrose (62.9%), while the most popular sweetener was sorbitol (28.2%). This is the most comprehensive study in the city center of Edirne province in Türkiye reporting on the types and frequency of added sugars and sweeteners in packaged products. This study offers monitoring to improve the legislation of Türkiye on added sugars and sweeteners used in the food supply.
Molecular Marker Techniques and Genotypic Characterization Approaches in Plant Breeding
Authors: Karakaş İsmail
Published: August 2024

Plant breeding, often known as the science of plant development, is the study and practice of modifying a plant’s genetic makeup through a variety of breeding techniques to produce higher-quality, more prolific, and more resistant to harsh environmental circumstances. Classical breeding programs are indispensable techniques for increasing yields and improving plant characteristics, but they are progressing too slowly to meet the increasing food demand of the rapidly growing world population alone. Considering that the development periods of plants are generally long in traditional plant breeding, the opportunity to develop higher quality and more productive species that are more resistant to abiotic and biotic stress factors is very limited. Because there are multiple steps required in producing new plant varieties, including hybridization, selection, and testing, the process of creating a new variation takes several years. However, it is important to rapidly develop plant varieties with desirable characteristics to meet the increasing food demand of the rapidly growing world population, so the application of biotechnological methods integrated into plant breeding and combined with traditional methods can help reduce food shortages. Today, with the quick acceleration of biotechnology, molecular DNA marker technology has been developed in plant breeding and very important developments have been experienced. Thanks to the development of molecular tools for genetic research aimed at improving agricultural traits in plants related to crop yield, crop quality, or tolerance to adverse environmental conditions, we now have a much better understanding of plant genetics and the architecture and function of plant genomes. Therefore, it is of critical importance to revise current breeding procedures by incorporating molecular markers into breeding programs in the future.
A Novel Approach for Red Rot Disease Detection in Sugarcane Plants Using Transfer Learning Based VGG16 Model
Authors: Shirazi Syed Atir Raza , Nafeesa Yousaf
Published: August 2024

Red rot in sugarcane is a devastating fungal disease caused by Colletotrichum falcatum. It leads to wilting, red discoloration, and yield losses, which can impact sugar production globally. Red rot hampers sugarcane production, causing yield reductions, and economic losses, and affecting the nation’s sugar industry demanding stringent disease management strategies. There is a need of a system that detects the red rot disease at an early stage before it spreads. Transfer learning enhances agricultural models, leveraging pre-trained data for improved crop predictions, resource optimization, and sustainability. In this article, we have proposed a transfer learning-based VGG16 model for the detection of red rot disease in sugarcane on a large dataset. The model achieves a remarkable 98.85% accuracy and an F1 score of 0.93 in early red rot detection in sugarcane. This work underscores the potency of leveraging re-trained models for crop disease identification, offering a promising avenue for proactive disease management. This research marks a substantial step towards enhancing crop yield and sustainability, presenting an accessible and impactful technological solution for early disease detection in sugarcane, ultimately benefiting agricultural practices.
Educação em saúde sobre primeiros socorros para leigos
Authors: Reis Paulo Vitor Rodrigues dos , Cohén Jairo de Jesus Cruz , Cantão Benedito do Carmo Gomes
Published: August 2024

Objetivo: Investigar a importância da educação em saúde sobre primeiros socorros para leigos. Métodos: Foi realizado uma revisão integrativa e para isso, foram analisados 78 artigos das bases de dados LILACS, BDENF e SCIELO, dos quais 9 foram considerados pertinentes para a pesquisa. Resultados:  Os resultados revelaram a urgente necessidade de capacitar alunos e professores em primeiros socorros, destacando a importância das parcerias institucionais na promoção da segurança escolar. Além disso, evidenciaram a eficácia das intervenções educativas na aquisição de conhecimento entre leigos e o papel crucial dos profissionais de saúde como educadores em saúde. Considerações finais: De acordo com as evidências científicas, é crucial reforçar a necessidade contínua de investimento em programas educativos abrangentes e acessíveis. Esses programas devem visar a redução do impacto dos acidentes e promover a segurança e o bem-estar em ambientes escolares, comunitários e familiares. O investimento contínuo nessas iniciativas é fundamental para garantir a conscientização, prevenção e resposta adequada a situações de risco, contribuindo para a proteção e qualidade de vida da população.
Tecnologia educacional voltada para o doador de sangue na triagem clínica
Authors: Silva Yasmim  Ferreira da , Valois Rubenilson Caldas , Gonçalves Ana Amélia de Freitas , Lea Luciana Souza Miranda , Braga Maria de Nazaré da Silva , Ramos Marluce Gonçalves , Araújo Junior Francisco Ocian de , Nascimento Marcia Helena Machado
Published: August 2024

Objetivo: Construir uma tecnologia educativa voltada para os doadores de sangue acerca dos principais motivos de inaptidão durante a triagem clínica. Métodos: Estudo metodológico, qualitativo descritivo desenvolvido entre julho e dezembro de 2020, em um Hemocentro do Pará, Brasil. Realizado em duas etapas: pesquisa de campo e construção da tecnologia educativa. Para análise da etapa qualitativa foi utilizado o software Iramuteq além dos softwares Powtoon Web e Quik versão Android para a construção da tecnologia educativa. Resultados: A partir de uma metodologia qualitativa foi possível à construção de uma tecnologia em formato de vídeo educativo para que pudesse mediar o processo educativo auxiliando na redução dos índices de doadores inaptos na triagem clínica visando aumentar a captação de doadores aptos para o hemocentro. Conclusão: A construção da tecnologia educativa foi alcançada mediante as três etapas finalizadas sendo de fundamental importância para a área da hemoterapia, já que é um instrumento que poderá proporcionar um maior número de doadores aptos para os hemocentros.
Mortalidade infantil e causas evitáveis: atenção ao pré-natal em uma cidade do interior de São Paulo
Authors: D’Anuncio Daniele Tafuri , Ferreira Julia Bonfogo , Souza Andréa Cristina Junqueira
Published: August 2024

Objetivo: Trazer atualizações acerca da mortalidade infantil em menores de cinco anos com foco na atenção ao Pré-natal e Parto numa cidade do interior de São Paulo. Métodos: Trata-se de estudo transversal descritivo e epidemiológico, com dados obtidos a partir do Departamento de Informática do SUS, considerando os números de mortalidade infantil com foco na atenção ao Pré-Natal no período de 2011 a 2021. Buscou-se na literatura nos últimos 10 anos, dados sobre a história das ações no Pré-Natal, melhorias e consequências que possibilitaram a redução da mortalidade infantil, com ênfase nas causas da morbimortalidade em menores de um ano. Resultados: Assim como ocorreu no país, no município estudado foram acatadas medidas em saúde, e os indicadores mostraram melhoria na qualidade do acesso à saúde e menor número de mortalidade infantil na região. Verificou-se que em 2022 e 2023, houve mudanças sensíveis nesses indicadores, com nova elevação, identificando uma atenção reduzível ao pré-natal no município com redução de 28,7% no número de consultas e aumento de 30% na mortalidade infantil. Conclusão: Apesar das ações implementadas nos serviços de saúde, há dificuldade na assistência à saúde materno-infantil, sendo ainda necessário continuar sensibilizando profissionais e população acerca da importância do Pré-Natal adequado.
Vivência de gestantes em práticas educativas sobre aleitamento materno no período gestacional
Authors: Galantini Brenda Stéphany , Silva Jacqueline Pimenta Navarro da , Oliveira Jânia Cristiane de Souza , Mattos Magda de , Sales Monara Pauletto
Published: August 2024

Objetivo: Compreender a vivência das gestantes no terceiro trimestre de gestação que participaram de intervenções sobre aleitamento materno em uma Estratégia de Saúde da Família em um município do estado de Mato Grosso. Métodos: Trata-se de uma pesquisa-ação cumprindo itinerário metodológico, qualitativa, composta por 6 gestantes do terceiro trimestre. Na fase exploratória: foram aplicados questionários sociodemográficos para levantamento de informações pessoais e obstétricas, para avaliação do nível de conhecimento das gestantes acerca da amamentação e levantamento das demandas educativas sobre o aleitamento materno, através de um questionário semiestruturado. Foram realizadas educação em saúde em quatro encontros semanais elaboradas na fase de planejamento e para a fase de avaliação coletiva foi realizado um grupo focal, com roteiro composto por quatro questões norteadoras. Resultados: Foi possível compreender as percepções das gestantes na participação nas atividades educativas que tinham o objetivo de intervir no conhecimento sobre aleitamento materno e constatar a importância do profissional da saúde no pré-natal. Diversos são os fatores que podem tornar a mulher vulnerável e insegura para realizar tal prática. Conclusão: Conclui-se que as atividades educativas são cruciais para as mulheres no período gestacional e que os profissionais de saúde incluam a promoção do aleitamento materno durante o pré-natal.