bluuebunny/crossref_metadata_2025 huggingface dataset:
Traditional Culture Inheritance and Education Innovation: VR Wisdom Education of ICH within Cultural Ecological Protection Area
Authors: Xue Jianli , Tuo Wanliang
Published: June 2024

This paper aims to explore the application of VR wisdom education in the intangible cultural heritage projects within cultural ecological protection areas, providing theoretical support and practical references for the inheritance of traditional cultural heritage and educational innovation in the new era. VR technology has gradually become an innovative tool in the field of culture and education, bringing new opportunities and challenges to the education of intangible cultural heritage. In the cultural ecological protection areas, the intangible cultural heritage projects are interconnected with the ecological environment, historical buildings, and folk customs, forming a specific cultural ecosystem. Through an in-depth discussion on the application of VR wisdom education in the intangible cultural heritage projects within cultural ecological reserves, we can provide theoretical support and practical references for the inheritance of traditional cultural heritage and educational innovation in the new era.
Research on Family Education Investment under the "Double Reduction" Policy
Authors: Chunyan Huang , MONEVA JERALD
Published: June 2024

Education is the foundation of national progress and social stability, as well as the source of millions of families' expectations for social fair development. All Chinese people is to hope their children to have a bright future. Under this educational expectation, good educational conditions have become the pursuit of parents. In the past 20 years, people have increasingly attached importance to investment in education, with the emergence and development of extracurricular tutoring institutions. While, driven by the baton of the college entrance examination, parents would not neglect their investment in family education at all. Most parents choose to have their children study in off campus training classes for two days on weekends (work on campus+weekend off campus learning mode). Regardless of the learning mode, parents not only need to invest a large amount of funds, but also invest a considerable amount of time in transporting their children to and from school. Based on the challenges and opportunities brought by the "double reduction" policy to family education investment, this paper will focus on how to balance academic and comprehensive development, how to improve the quality of family education, and how to handle the pressure of family education.
A Brief Exploration of the Visual Representation and Communication of Urban Image through Film and Television
Authors: Yang Shaoyun
Published: June 2024

The urban image serves as both an external manifestation of a city’s comprehensive strength and a symbol of its soft power. With the continuous prosperity and development of the cultural industry, it is imperative to utilize the power of the cultural sector and audiovisual media in shaping and disseminating the urban image. Leveraging the accessibility and immersive qualities of film and television culture, we can forge a new urban identity, propagate a fresh urban culture, and stimulate urban advancement. As the film and television industry continues to evolve, it is crucial to embrace innovative practices, emerging trends, and novel theories to enhance the application of audiovisual culture. Through an exploration of how film and television culture contribute to the shaping and dissemination of the urban image, this paper aims to provide insights for theoretical research in the realm of film and television culture and contribute to the development of urban construction.
Research on Cross-border Regional Tourism Information Resources Sharing and Cooperation Development in the Greater Bay Area
Authors: Wu Shuiling , Ou Chunze
Published: June 2024

Inter-regional tourism cooperation has emerged as a significant trend in tourism development, pivotal role in facilitating inter-regional economic exchanges and cultural integration. This study employs the theory of 'cross-border governance' to examine the historical development and progression of the Bay Area. By conducting an analysis of the typology and spatial distribution of tourism resources, this study proposes a pioneering model for fostering multilateral cooperation in the field of tourism, with a particular focus on the Pearl River coastal city belt. It scrutinizes regional tourism cooperation from various perspectives including formulation of tourism policies, construction of the tourism industry, complement tourism production factors, establishment of tourist capital and talent, design and marketing strategies for tourist products. Furthermore, it advocates for policy exchange, market, and cross-border governance as essential components to establish a cooperative guarantee mechanism while providing pertinent recommendations for regional tourism cooperation within the bay area.
Exploration of Optimization Strategies for Economic Management Models of Agricultural-Related Enterprises in the Context of Internet Plus
Authors: Wang Dan
Published: June 2024

With the emergence of the Internet Plus concept, numerous entities in traditional industries have embarked on a path of transformation, including agricultural-related enterprises. Aimed at achieving sustainable development, agricultural-related enterprises should integrate the characteristics of the “Internet plus” era, shift from traditional economic management thinking, leverage the innovative features of the internet, and explore new directions in the development of economic management for enterprise. This article aims to explore how agricultural-related enterprises can develop in the “Internet Plus” era, analyzing economic management issues from three aspects: systems, structures, and skill levels of management. Finally, it presents targeted optimization strategies.
Research on the Reform and Innovation of College Education Management Mode under the "Internet+" Environment
Authors: Zhang Yaping , Duan Shanrong
Published: June 2024

With the rapid development of globalization and information technology, the "Internet+" has become an important force to promote educational innovation and reform. The management mode of higher education has also faced unprecedented challenges and opportunities. The traditional educational management concepts and methods face many difficulties, and the existence of these problems seriously restricts the improvement of educational quality and the comprehensive development of student abilities. In view of this situation, this paper deeply analyzes the problems and reasons of university education management mode under the background of "Internet+", and puts forward corresponding reform countermeasures, such as updating the traditional ideas of education management, encouraging openness and innovation. Building a new model of educational management that keeps pace with the times, including utilizing internet technology to optimize the allocation of educational resources and teaching processes. Improving the professional level of managers to meet the needs of education management in the new era, etc., it aims to provide innovative ideas for higher education management and help the sustainable development of the education industry.
Symptoms and Prevention and Control Measures of African Swine Fever
Authors: Caihong Hao
Published: June 2024

African swine fever is one of the main infectious diseases of large-scale pig farms. Once it occurs, it is bound to reduce the yield and quality of live pigs and affect the economic income of farmers. The prevention and control of ASF and the measures and specific implementation plans taken by small and medium-sized pig farms in various regions will further reduce the incidence of ASF, thus improve the economic benefits of pig farms, and finally realize the healthy, safe and sustainable pig industry.
Analysis of Clinical effect of Acupuncture and Moxibustion on Patients with Cerebrovascular Disease
Authors: Hu Zhongyuan , Wang Weigang
Published: June 2024

In this study, 68 patients with cerebrovascular diseases who were treated in our hospital from June 2022 to June 2023 were selected and randomly divided into the experimental group and the control group. The patients in the experimental group were treated with acupuncture and moxibustion, and the patients in the control group were treated with western medicine. Combined with the treatment observation, it can be seen that acupuncture and moxibustion can help the patients with cerebrovascular diseases recover their limb functions.
Effectiveness of Precise Radiotherapy Technique in the Treatment for Elderly Patients with Tumor Diseases
Authors: Jin Ronghui
Published: June 2024

88 elderly patients with tumor diseases who received corresponding treatment in the hospital from December 2021 to December 2022 were randomly selected as subjects of the study for comparative retrospective analysis. Patients in the research group received precise radiation therapy (n=44), while that in the control group received conventional radiation therapy (n=44). This paper analyzes the clinical effectiveness of precise radiotherapy technique in the treatment for elderly patients with tumor diseases.
Pathology-based CT Imaging Performance Contrast Study of Osteosarcoma and Chondrosarcoma
Authors: Xu Bingqiang , Zhang Yan , Huang Minggang , Liu Huitong , Zhang Wei
Published: June 2024

This paper aims to compare the CT imaging features of osteosarcoma and chondrosarcoma based on pathology evidence. 27 patients with osteosarcoma or chondrosarcoma confirmed by surgical pathology in our hospital from October 2018 to February 2023 were retrospectively selected. Among them, 15 cases of osteosarcoma and 12 cases of chondrosarcoma underwent conventional CT scanning. The CT findings and diagnostic efficacy of each measurement parameter of the two types of patients were compared. Compared with osteosarcoma, the incidence of chondrosarcoma was significantly increased (P<0.05). Of the 15 cases of osteosarcoma, 9 cases (60.00%) developed in the long tubular bone. Of the 12 cases of chondrosarcoma, 7 cases (58.33%) occurred in axial bone, and the difference between them was significant (P<0.05). The appearance of periosteal reactions, Codman's triangle, and radial bone needles indicates a higher incidence of osteosarcoma, while the appearance of type IV calcium density shadow indicates a higher incidence of chondrosarcoma.
The Clinical Value of PET-CT in Searching for Primary Lesions of Malignances
Authors: Zhang Wei , Zhang Yan , Huang Minggang , Liu Huitong , Xu Bingqiang
Published: June 2024

This paper is aimed to explore the clinical value of 18F-FDG PET-CT in searching for primary lesions of multiple metastatic malignances. Data of 35 patients with multiple metastatic malignances which the primary lesion was not clear, were retrospectively studied from January 2019 to April 2023 in our hospital. Systemic 18F-FDG PET-CT examination was performed for all the patients, and the follow-up data were analyzed and summarized. The positive rate of 18F-FDG PET-CT for primary malignant lesions was 74.29% (26/35), the specificity was 87.28%, the sensitivity was 85.43%, and the accuracy was 88.73%. The positive predictive value was 92.31% (24/26). 18F-FDG PET-CT showed a high detection rate of metastatic squamous cell carcinoma and metastatic adenocarcinoma, with 85.36% and 82.41% respectively. 18F-FDG PET-CT examination provides high clinical value in multiple searches of primary metastasis throughout the body.
Study on the Working Mechanism of Public Health Security in Colleges and Universities in the Post-Epidemic Era
Authors: Sun Meng
Published: June 2024

The high concentration of personnel in colleges and universities is an easy place for public health events. The lack of awareness of public health crisis among teachers and students, the high mobility of students and the difficulty of Public Health Security Prevention make the campus a weak place for public health prevention. The outbreak and global spread of 2019-nCoV had a tremendous impact on social, economy, life and way of thinking, which posed a severe test on public health safety. In the post-epidemic era, under the situation of normal epidemic prevention and control, how to establish and perfect the mechanism of public health safety in colleges and universities, to deal with public health emergencies and to strengthen the management of Public Health Safety in colleges and universities is worthy of deep thought and great attention. By means of the study on the mechanism of public health safety in colleges and universities in the post-epidemic era, this paper emphasizes the importance of public health safety in colleges and universities, analyzes the deficiencies in the management of public health in colleges and universities, and establishes the working mechanism of public health safety in colleges and universities. This can strengthen joint-prevention and control campus public health safety management, enhance the capacity of rapid handling of public health emergencies, to ensure the safety of life and health of teachers and students.
Study on Dynamic Model Construction and Analysis Method of Bacteria-algae Co-culture
Authors: Yao Yuxing
Published: June 2024

To investigate the dynamic changes in growth and product synthesis of a mixed culture of Rhodotorula glutinis and Chlorella vulgaris, this study utilized fermentation data to analyze the rules and preliminary results of the microbial-algal symbiotic system. Employing Matlab, the author fitted a mathematical model proposed by predecessors, seeking parameters to establish a dynamic model for microbial fermentation. This model not only characterized parameter significance but also shed light on interactions, energy transfer mechanisms, and natural regulation balance during symbiotic fermentation. Results revealed that, under the influence of algae's photosynthetic carbon fixation, bacteria exhibited secondary growth, coupled with lipid synthesis and cell growth. The mixed culture model demonstrated a significant increase of 25.9% in biomass and 42.1% in oil content (reaching 30.694 g/L and 14.54 g/L, respectively). These findings suggest the model's potential as a theoretical guide for optimizing mixed culture fermentation processes.
Implementation of Ensemble Machine Learning Classifier and Synthetic Minority Oversampling Technique for Sentiment Analysis of Sustainable Development Goals in Indonesia
Authors: Gufroni Acep Irham , Hoeronis Irani , Fajar Nur , Rachman Andi Nur , Sidik Ramdani Cecep Muhamad , Sulastri Heni
Published: June 2024

As part of the Sustainable Development Goals (SDGs), governments worldwide have committed to improving people's lives to improve the quality of life for all, including the 17 such goals that were agreed upon in 2015 to benefit the human race as a whole. It would be interesting to see how society responds to the SDGs after approximately half of them have been achieved. This public response was analyzed in terms of sentiment. Within the total number of internet users in Indonesia, there are 18.45 million Twitter users. The platform enables anyone to write about anything they are experiencing in their lives, such as what is happening in their environment, what is happening in their education system, what is happening in the food industry, how people feel, and many more. The platform enables anyone to write about anything they are experiencing in their lives, such as what is happening in their environment, what is happening in their education system, what is happening in the food industry, how people feel, and many more. To model the data collected, the researchers used Ensemble Machine Learning Classifiers (EMLC) to model the data by using a machine learning classifier that uses machine learning techniques. The best model in this study is EMLC-Stacking with a data splitting of 80:20 and using SMOTE, which obtains an accuracy of 91%. This accuracy results from a 5% increase compared to when not using SMOTE. From 15,698 tweets, this research found that 47% were positive sentiments, 28% were negative sentiments, and 25% were neutral sentiments. The results that we measured offer hope that there will be a positive trend in the journey of the SDGs until 2030 if these findings are true.
Environmental Monitoring System using Wireless Multi-Node Sensors based Communication System on Volcano Observations Drones
Authors: Huda Achmad Torikul , Setiawardhana Setiawardhana , Dewantara Bima Sena Bayu , Sigit Riyanto
Published: June 2024

Indonesia is on the Ring of Fire and has the world's most active volcanoes. Volcanic activity has a significant effect on the landscape and on the people who live there. The difficulty of evacuating and helping victims requires hard work and sometimes even the safety of the rescue team itself. For this reason, high-tech tools are needed. Unmanned aerial vehicles (UAVs), also called drones, have become a hopeful tool for remote environmental monitoring in recent years. The system design has a monitoring platform, gateway, and sensor nodes attached to the UAV, which monitors the content of toxic gas contamination in the air. Using IoT technology, sensor data is sent wirelessly to a central monitoring station for a thorough and accurate volcanic activity study. This system is a flexible and complete way to monitor volcanic activity, learn more about it, and make it easier to respond to disasters. Tests are also done to measure system speed, including latency, and determine network service quality. The results show that data is successfully sent in real-time from the sensor nodes to the monitoring system. The average Round-Trip time for the payload transmission is 446.046226 ms. This shows how well the system works to send data from the sensors connected to the UAV to the monitoring station. The UAV has sensor nodes and a monitoring system platform. These can be used to build and optimize disaster mitigation systems.
Performance Comparison of Zevenet Multi Service Load Balancing with Least Connection and Round Robin Algorithm
Authors: Ma'arifah Windiya , Sarmini Sarmini
Published: June 2024

Amikom Purwokerto University concentrates on Technology and Digital Business. This requires technology to be utilized optimally. The use of technology, especially internships, will make various jobs easier. KRS online is taking lecture schedules online via the AMIKOM Purwokerto Student website. There are several problems with the web server that arise due to the increasing need for information access, which causes the data traffic load to increase. Increased data traffic causes workload overload, resulting in server downtime. Experimental methods were used in this research to look for the causes of the web server's downtime. Then, implement the technology. The purpose is to evaluate the Zevenet load balancer performances by comparing the round-robin and least-connection algorithms. The decision is which algorithm will be used best to implement the Zevenet Load balancer to achieve a more efficient backend server traffic cluster distribution. The TIPHON standard Quality of Service parameters used in Zevenet Load Balancer performance testing are throughput, delay, jitter, packet loss, and CPU usage. The quality-of-service parameter test results show that the Zevenet Load Balancer with the round-robin algorithm has superior performance and shows less CPU usage. It is concluded that using the round-robin algorithm in implementing the Zevenet load balancer to overcome the problem of data traffic load sharing and minimize server downtime on the Student Amikom Purwokerto web server is more appropriate and more effective.
Classification of Human Concentration Levels Based on Electroencephalography Signals
Authors: Siregar Baihaqi , Florence Grace , Seniman Seniman , Fahmi Fahmi , Mubarakah Naemah
Published: June 2024

Concentration denotes the capability to direct one's attention to a specific subject matter. Presently, within the era characterized by an overwhelming abundance of information inundating human existence, distractions frequently impede human concentration, thereby influencing the depth of knowledge acquisition. Various elements contribute to the decline in human concentration, including diminished metabolic states, inadequate sleep, and engaging in multiple tasks simultaneously. The cognitive state of an individual during the process of thinking can be assessed through the analysis of electroencephalography signals. The primary objective of this investigation is to facilitate experts' interpretation of electroencephalography signal outcomes for categorizing concentration levels. The dataset utilized in this examination comprises unprocessed EEG data obtained from observing individuals in both relaxation and concentration states. After data preprocessing, feature extraction is executed, and classification is performed using the Support Vector Machine technique. The outcome of this study reveals an accuracy rate of 84%. These developments allow for continual monitoring of brain function, an enhanced comprehension of cerebral activities, and increased operational efficacy of end-effectors. The implications of these advancements on prospective research opportunities are evident in the potential for more accurate diagnosis of neurological disorders and the progression of sophisticated BCI applications designed to support healthcare and monitor cognitive states. The evolution of EEG technology is paving the way for novel research pathways in neuroscience and human-computer interaction.
CNN-LSTM for Heartbeat Sound Classification
Authors: Aji Nurseno Bayu , Kurnianingsih Kurnianingsih , Masuyama Naoki , Nojima Yusuke
Published: June 2024

Cardiovascular disorders are among the primary causes of death. Regularly monitoring the heart is of paramount importance in preventing fatalities arising from heart diseases. Heart disease monitoring encompasses various approaches, including the analysis of heartbeat sounds. The auditory patterns of a heartbeat can serve as indicators of heart health. This study aims to build a new model for categorizing heartbeat sounds based on associated ailments. The Phonocardiogram (PCG) method digitizes and records heartbeat sounds. By converting heartbeat sounds into digital data, researchers are empowered to develop a deep learning model capable of discerning heart defects based on distinct cardiac rhythms. This study proposes the utilization of Mel-frequency cepstral coefficients for feature extraction, leveraging their application in voice data analysis. These extracted features are subsequently employed in a multi-step classification process. The classification process merges a convolutional neural network (CNN) with a long short-term memory network (LSTM), forming a comprehensive deep learning architecture. This architecture is further enhanced through optimization utilizing the Adagrad optimizer. To examine the effectiveness of the proposed method, its classification performance is evaluated using the "Heartbeat Sounds" dataset sourced from Kaggle. Experimental results underscore the effectiveness of the proposed method by comparing it with simple CNN, CNN with vanilla LSTM, and traditional machine learning methods (MLP, SVM, Random Forest, and k-NN).
Conceptualizing Digital Readiness, Strategic Foresight, and Strategic Flexibility as Drivers of Digitalization and Performance of Small and Medium Enterprises
Authors: Alqam Hanin S , Razzak Mohammad , Al-Busaidi Adil , Al-Riyami Said
Published: June 2024

The drivers of digitalization and small and medium enterprises (SMEs) performance have been primarily examined through resource-based theories. Hence, this study presents an alternative perspective based on such organizations' readiness and dynamic capabilities through a conceptual framework. A conceptual framework is developed by drawing upon the digital readiness theory (DRT) along with the dynamic capabilities view (DCV) to propose an integrated framework that posits a set of propositions linking constructs that reflect both digital readiness as well as the dynamic capabilities of an organization as possible drivers of business process digitalization (BPD) and performance. The empirical literature based on the DRT suggests that digital readiness will likely drive BPD and performance. Whereas leveraging the premise of the DCV indicates that the ability to sense opportunities and threats is reflected by strategic foresight. In contrast, the ability to seize and transform is reflected through strategic flexibility. The propositions posit that all three factors influence performance directly and through the mediating effect of BPD. The framework developed in this study may provide clues to practitioners and policymakers related to SME development regarding potential drivers of digitalization and performance. Growing scholarly publications on antecedents of digitalization and the performance of SMEs have focused primarily on resources. The current study offers an alternate perspective by integrating the two theories based on such organizations' readiness and dynamic capabilities.
Detecting Need-Attention Patients using Machine Learning
Authors: Law Theng Jia , Ting Choo-Yee , Zakariah Helmi
Published: June 2024

In healthcare, detecting patients who need immediate attention is difficult. Identifying the critical variables is challenging in patient detection because human intervention in variable selection is required. Consequently, patients who need immediate attention often experience prolonged waiting times. Researchers have investigated various approaches to identify those who require attention. One of the techniques is leveraging Artificial Intelligence (AI). However, identifying the optimal feature set and predictive model is complex. Therefore, this study has attempted to (i) identify the critical features and (ii) develop and evaluate predictive models in detecting those who need attention. The dataset is collected from one of the healthcare companies. The dataset collected contains 67 variables and 51102 records. It consists of patient information and questionnaires answered by each participant registered in the Selangor Saring Program. Important features were identified in detecting those who need attention on treated data. Multiple classifiers were developed due to their simplicity. The models were evaluated before and after hyperparameter tuning based on accuracy, precision, recall, F1-score, Geometric Mean, and Area Under the Curve. The findings showed that the Stacking Classifier produced the highest accuracy (69.9%) when using the blood dataset. In contrast, Extreme Gradient Boosting achieved the highest accuracy (81.7%) when the urine dataset was used. This work can be extended to explore the incorporation of Points of Interest and geographical data near patients’ residences and study other ensemble models to enhance the performance of detecting those who need attention.
Artificial intelligence applications in solar energy
Authors: Le Thanh Tuan , Le Thi Thai , Le Huu Cuong , Dong Van Huong , Paramasivam Prabhu , Chung Nghia
Published: June 2024

Renewable energy research has become significant in the modern period owing to escalating prices of fossil fuels and the pressing need to reduce greenhouse gas emissions. Solar energy stands out among these sources due to its abundance and global accessibility. However, its weather-dependent and cyclical nature add inherent risks, making effective planning and management difficult. Soft computing technologies provide attractive solutions for modeling such systems, while machine learning and optimization techniques are gaining popularity in the solar energy industry. The current literature highlights the growing use of soft computing technologies, emphasizing their potential to address difficult challenges in solar energy systems. To effectively reap the benefits, these strategies must be seamlessly connected with emerging technologies like the Internet of Things (IoT), big data analytics, and cloud computing. This integration provides a unique opportunity to improve the scalability, flexibility, and efficiency of solar energy systems. Researchers can use these synergies to create intelligent, linked solar energy ecosystems capable of real-time optimization of energy production, delivery, and consumption. These technologies have the potential to transform the renewable energy environment, allowing for more resilient and sustainable energy infrastructures. Furthermore, as these technologies improve, there is a growing demand for trained experts to address associated cybersecurity problems, assuring the integrity and security of these sophisticated systems. Researchers may pave the road for a more sustainable and energy-efficient future by working collaboratively and using interdisciplinary methodologies.
Development of Automatic Object Detection and IoT for Garbage Pickup Assignment Problem
Authors: Bayu Setyawan Erlangga , Novitasari Nia , Zahira Aulia Dihas
Published: June 2024

Waste management remains a challenge in certain cities, particularly in allocating fleets responsible for collecting garbage from temporary disposal sites. Inadequate planning can lead to the accumulation of substantial waste piles. This study aims to enhance truck assignment by considering truck capacity and the collection route. The assignment process incorporates the fundamental concept of the transportation problem, precisely the northwest corner method. The volume of waste transported aligns with the resident or industrial population within the designated service area. The waste generation capacity determines the future fleet and quantity, forming a crucial element of the ensuing distribution channel. A monitoring system integrating object detection and the Internet of Things (IoT) has been devised to ensure effective garbage collection. Cameras strategically positioned at temporary disposal sites transmit real-time images. The system evaluates garbage collection capacity through object detection facilitated by neural network training. The research outcomes demonstrate the system's capability to identify waste pile levels and validate the garbage pickup process by the designated fleet. Future research should focus on assignment and scheduling in waste transportation, enabling fleet allocation within specific timeframes. Additionally, an object detection algorithm refinement is necessary for more precise identification of waste pile locations.
Balkanlarda Açan Bir Çiçek: Eskicumalı Hamîd’in Gül Tasvirleri
Authors: Çukurlu Talip
Published: June 2024

Osmanlı Devleti’nin Balkan coğrafyasında bulunan şehirleri fethinden sonra bu şehirlerde yetişen şairlerin klasik Türk edebiyatına çok büyük katkısı olmuştur. Bosna’dan Filibe’ye, Manastır’dan Sofya’ya, Üsküp’ten Vardar Yenicesi’ne kadar birçok Rumeli şehrinde yetişen yüzlerce şair, edebiyat tarihlerindeki yerini almıştır. Tarihi kaynaklarda isimlerine rastlanılmayan fakat yapılan çalışmalarla gün yüzüne çıkarılan birçok şair bulunmakla beraber gün yüzüne çıkarılmayı bekleyen nice şairin olduğu da tahmin edilmektedir.
Rumeli’de, hem yetiştirdiği şair sayısı hem de gülcülüğün merkezi olması bakımından Bulgaristan’ın ayrı bir yeri bulunmaktadır. Trakya topraklarında gül yetiştiği bilgisi tarihçi Heredot’a kadar uzanır. Osmanlı Devleti’nin 18. yüzyılda Bulgaristan’a yağ gülü getirmesi ve coğrafyanın bu çiçeği yetiştirmeye elverişli olmasının anlaşılmasının ardından Bulgaristan’daki birçok şehir günümüze değin gülleriyle anılmıştır.
Bulgaristan şehirlerinden biri olan Eskicuma’da doğan 19. yüzyıl klasik Türk şairlerinden biri de -tezkirelerde kendisinden bahsedilmeyen- Hamîd’dir. Yeni mazmun arayışlarında olan Hamîd’in şiirlerinde görülen gül, gülşen, gülzar, gülistan, gonca gibi gül etrafında oluşan kelimelerin sıklıkla kullanılması dikkatimizi çekmiş ve bu yönde inceleme yapılmıştır. Görsel bir şair diyebileceğimiz Hamîd’in Şumnu, Tırnova gibi Rumeli şehirlerinin güzelliklerini tasvir etmesinden hareketle, Bulgaristan’ın gül yetiştiriciliğinin Hamid’in şiirlerinde ne derece yer edindiği incelemeye tabi tutulmuştur.
Egzekucja sądowa z kilku nieruchomości dłużnika stanowiących całość gospodarczą
Authors: Jarocha Andrzej
Published: June 2024

Specific rules, relevant only for enforcement proceedings, are applied in enforcement proceedings, such as the rule of applying enforcement measures that are least onerous for a debtor, while ensuring protection of creditor’s rights (so-called principle of relativity). The compliance with this rule in the practice of enforcement proceedings results in the necessity to look for the maximum efficiency of enforcement by its execution in such a manner, for example, that optimum effects are obtained in enforcement against cash benefits by obtaining funds to repay a creditor and cover costs of proceedings, while keeping factual, legal and financial burdens to the minimum. An example of adhering to the principle of relativity that is aimed at maximising the efficiency of enforcement is the combination of several enforcement proceedings that concern several real properties into single proceedings, in order to optimise effects of enforcement activities undertaken during proceedings pending separately beforehand. Achieving the objectives of combining proceedings is beneficial for the creditor, the bailiff and for the debtor as well. The analysis focuses on the development of the concept of ‘economic whole’ of several real properties as well as on the identification of conditions for admissibility of combining proceedings pending against several real properties developed based on regulations of the Code of Civil Proceedings. The analysis conducted in the article leads to the conclusion that if there is a combination of several proceedings, because real properties being subject to separate enforcement proceedings constitute an economic whole, the whole as well as each real property are to be described and estimated, and next, if this is not contrary to the objective of enforcement understood as the optimization of effectiveness and efficiency of enforcement and if this may lead to better results than the sales of individual real properties separately, the should be sold jointly.
EXPERIMENTAL STUDY: IMPLEMENTING IOT TECHNOLOGY FOR MONITORING ENTERPRISE POWER SUPPLY SYSTEMS
Authors: Yembergenov Assylzhan , Orynbay Asfandiyar
Published: June 2024

This study has demonstrated the necessity and effectiveness of a well-designed power monitoring system in the current year. The integration of IoT devices with this system has enhanced its effectiveness and applicability across various disciplines. Moreover, using this monitoring system facilitates easy and efficient connections with GSM and embedded controllers. The incorporation of multiple sensors in smart design monitoring systems proves beneficial in this context. Additionally, the study's critical discussion highlights that smart power monitoring systems positively impact motion direction, home security, augmented reality, and technological disruption. Data was collected from 100 respondents out of a total population of 500, selected using a simple random sampling method. This method was preferred due to its simplicity in selecting samples for the study. The researcher distributed questionnaires to the respondents and collected their responses to conduct the research.
https://www.jippublication.com/republic-act-11032-policy-implementation-and-customer-satisfaction-in-calamba-water-district-basis-for-action-plan
Authors: Fulmaran Roselle
Published: June 2024

The study aimed to determine the students’ knowledge, attitudes, and practices towards global warming and their relationships. The researcher utilized a descriptive-correlational design and the systematic sampling technique. The respondents of the study were 340 students from grades 7 to 12 at Sibulan National High School. The researcher used validated questionnaires and employed weighted mean, Spearman’s Rank Correlation Coefficient, mean, and percentage in treating the data. The study revealed that students’ knowledge about global warming is “very satisfactory.” Students’ attitude towards global warming is also “very positive” and their extent of practices to minimize global warming is “high.” Moreover, the study found that there is a significant and positive relationship between the students’ knowledge about global warming and their attitude towards global warming. The student’s attitude towards global warming is also significantly and positively related to their practices to minimize global warming. However, no significant relationship is found between students' knowledge about global warming and their practices to minimize it.
Preguntas y casos acerca del Impuesto sobre sociedades para la campaña 2023
Authors:   Departamento de Documentación de Iberley
Published: June 2024

Esta guía busca servir de apoyo de cara a la presentación de la autoliquidación del Impuesto sobre Sociedades, que, en principio, ha de efectuarse en los 25 días naturales siguientes a los seis meses posteriores a la conclusión del período impositivo. Un plazo que abarca, para aquellas sociedades cuyo período impositivo coincida con el año natural, los primeros 25 días del mes de julio. A tal fin, la obra se enfoca desde un punto de vista eminentemente práctico y dinámico, mediante una estructura doble, que combina más de 180 preguntas con respuestas claras y concisas sobre los principales elementos del impuesto, con 38 casos prácticos que permiten profundizar sobre los aspectos más interesantes o controvertidos. Entre otras cuestiones, se incide de una manera especial sobre la deducibilidad de los gastos en el impuesto, con estudio de los requisitos que la posibilitan y especial énfasis en algunos gastos cuya deducción puede resultar más dudosa o conflictiva (piénsese, por ejemplo, en la retribución de los administradores o en los gastos relacionados con los vehículos). Sin embargo, también se abordan otros aspectos, como el período impositivo, las exenciones, los tipos de gravamen y la tributación mínima de ciertas entidades, la compensación de bases imponibles negativas de ejercicios anteriores o las posibles deducciones a aplicar y sus requisitos. Todo ello, desde una aproximación sencilla a la materia, que facilite su comprensión, y con inclusión de sentencias judiciales relevantes o de resoluciones administrativas de interés en los distintos casos prácticos.
ОТРАЖЕНИЕ ТОРГОВЫХ ПРАКТИК И КУПЕЧЕСТВА В КАРАКАЛПАКСКОМ ФОЛЬКЛОРЕ
Authors: Гульназ АКИМНИЯЗОВА
Published: June 2024

Данная статья посвящена отражению вопросов торговли и купечества в фольклоре каракалпаков. Автор рассматривает, как эти важные аспекты экономической жизни народа проникают в его народные сказания, легенды и песни, формируя особый мир символов и образов. В статье анализируются образы торговцев, которые встречаются в каракалпакском фольклоре, а также их роль и значение в контексте культурных ценностей этого народа. Особое внимание уделяется мотивам торговли, которые пронизывают сюжеты сказок, пословиц и поговорок, отражая не только экономические аспекты, но и духовные устремления и мировоззрение каракалпаков. Через изучение фольклора каракалпаков автор стремится раскрыть глубинные корни торговли и купечества в культуре народа, показать их влияние на формирование сознания и передачу ценностей из поколения в поколение.
Uniform Civil Code in India: Impact On Its Implementation
Authors: K Ariffa
Published: June 2024

“Secularism is a religion, a religion that is understood. It has no mysteries, no mumblings, no priests, no ceremonies, no falsehoods, no miracles, and no persecutions” by Robert Green Ingersoll. The paper briefly talks about various aspects and the essentials of the Uniform Civil Code. The paper talks about concerning factors that gave rise to the requirement for the implementation of Uniform Civil Code. It mainly aims to replace Personal Laws based on the scriptures and customs of each major religion in India with a common set of rules governing every citizen. Personal Laws are distinguished from Public Law and it basically covers marriage, divorce, inheritance, adoption, succession and maintenance. The paper briefly deals about challenges to implementing the Uniform Civil Code and its pros and cons of Uniform Civil Code. The paper discusses about judicial activism involved in personal laws and judgments of the Supreme Court where the court has emphasis for the need for the implementation of Uniform Civil Code. The paramount objective of this paper is to understand the detailed concept of Uniform Civil Code i.e. its beginning, contemporary developments, advantages, disadvantages and Role of Judiciary. Thus, at last in the paper, critical analysis and conclusion has been provided. In the process of making this paper, several journals, books and articles were referred and taken into consideration.
MATHEMATICS TEACHING TECHNOLOGIES DEPENDING ON STUDENTS' COGNITIVE ACTIVITY CHARACTERISTICS: PARTIAL SEARCH AND HEURISTIC METHOD
Authors: Mustafayeva Firidə
Published: June 2024

Improving mathematics education is a multifaceted process and therefore needs to be approached from different angles. Along with the improvement of the content and methods of teaching mathematics in primary school, students should be provided with high interest, initiative and activity. In the article, the ways of using the partial search and heuristic methodical system in mathematics education are widely investigated.
THE ROLE OF INTRADISCIPLINARY INTEGRATION IN THE FORMATION OF CONTENT LINES ON THE SUBJECT OF BIOLOGY
Authors: Mehdiyeva Sevinc
Published: June 2024

The article talks about the role of intra-disciplinary integration in the formation of content lines. It is emphasized that internal integration is important in updating and improving content lines. Structure and physiological processes of living things, interactions and energy in ecosystems, heredity and molecular genetics, lifestyle and health, biodiversity and natural resources, classification and evolution content lines are clarified. The use of opportunities for integration between content lines allows students to draw attention to the form of a living object, its relationship with its function, its relationship with the environment, individual and historical development, origin, and completeness of a living object.
Reflections: An Examination of Comparative Approaches in the Context of Action Learning
Authors: McIntosh Bryan , Cohen Ivan , Koseda Ellie
Published: June 2024

The purpose of this paper is to review the literature on reflection in the context of education. Reflection is found to be an important learning tool in professional education, and that the skills required for reflection need to be developed in professional courses. A review of the
literature was carried out to identify reflection directly related to education in practice. 100 papers met the inclusion criteria and were reviewed.
Adult-born granule cells modulate CA2 network activity during retrieval of developmental memories of the mother
Authors: Laham Blake J , Gore Isha R , Brown Casey J , Gould Elizabeth
Published: June 2024

Adult-born granule cells (abGCs) project to the CA2 region of the hippocampus, but it remains unknown how this circuit affects behavioral function. Here, we show that abGC input to the CA2 of adult mice is involved in the retrieval of remote developmental memories of the mother. Ablation of abGCs impaired the ability to discriminate between a caregiving mother and a novel mother, and this ability returned after abGCs were regenerated. Chemogenetic inhibition of projections from abGCs to the CA2 also temporarily prevented the retrieval of remote mother memories. These findings were observed when abGCs were inhibited at 4–6 weeks old, but not when they were inhibited at 10–12 weeks old. We also found that abGCs are necessary for differentiating features of CA2 network activity, including theta-gamma coupling and sharp wave ripples, in response to novel versus familiar social stimuli. Taken together, these findings suggest that abGCs are necessary for neuronal oscillations associated with discriminating between social stimuli, thus enabling retrieval of remote developmental memories of the mother by their adult offspring.
Adverse impact of female reproductive signaling on age-dependent neurodegeneration after mild head trauma in Drosophila
Authors: Ye Changtian , Ho Ryan , Moberg Kenneth H , Zheng James Q
Published: June 2024

Environmental insults, including mild head trauma, significantly increase the risk of neurodegeneration. However, it remains challenging to establish a causative connection between early-life exposure to mild head trauma and late-life emergence of neurodegenerative deficits, nor do we know how sex and age compound the outcome. Using a Drosophila model, we demonstrate that exposure to mild head trauma causes neurodegenerative conditions that emerge late in life and disproportionately affect females. Increasing age-at-injury further exacerbates this effect in a sexually dimorphic manner. We further identify sex peptide signaling as a key factor in female susceptibility to post-injury brain deficits. RNA sequencing highlights a reduction in innate immune defense transcripts specifically in mated females during late life. Our findings establish a causal relationship between early head trauma and late-life neurodegeneration, emphasizing sex differences in injury response and the impact of age-at-injury. Finally, our findings reveal that reproductive signaling adversely impacts female response to mild head insults and elevates vulnerability to late-life neurodegeneration.
Time Perspectives and Personality Traits of Filipino College Students in Davao Region: A Quantitative Analysis
Authors: Arapoc Princess Kyla , Pueblas Leslie Jane , Laurente Eden Grace , Culajara Claire Lynn
Published: June 2024

This study investigated the relationship between time perspectives (past, present, future) and personality traits among 350 university students in the Davao Region using a quantitative-predictive research design. Shapiro-Wilk test confirmed normal distribution and measured variable levels. Findings revealed that students had high present hedonistic, past negative, and past positive time perspectives, along with high openness to experience and agreeableness, and moderate neuroticism, conscientiousness, and extraversion. A positive correlation between time perspectives and personality traits was identified, with linear regression indicating that future, present hedonistic, and past positive perspectives were significant positive predictors. This research offers clear recommendations for utilizing diverse time perspectives and associated personality traits in personal development. Encouraging self-awareness and reflection can assist students in understanding how their time outlook shapes their behavior. This research also highlights potential drawbacks such as excessive future-oriented thinking leading to anxiety or rigidity, present hedonism resulting in neglect of long-term goals or consequences, and dwelling excessively on past positive experiences hindering present growth. It also underscores the importance of addressing these negatives through balanced approaches tailored to individual needs. Future research should include larger sample sizes and consider additional factors such as life satisfaction, parenting styles, and subjective well-being.