bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Sketching Face Headshot Generation based on Improved CycleGAN
Authors: Liao Zhen , Lin Guojun
Published: August 2023

At present, sketch heads generated from realistic heads still has problems such as blurred contours and missing textures. For this reason, this work proposes a sketch head generation method based on CycleGAN. Firstly, the Self-Attention Mechanism (Squeeze-and-Excitation Networks (SENet) module is added to the UNet self-encoder; secondly, the base model is transformed into a supervised learning model so as to add constraints on the generated avatars and the real avatars. The experimental results show that the sketched avatar generated by the method in this paper has a better visual effect on the CUHK student test set with a 0.0274 improvement in SSIM value than the sketched avatar generated by the base model.
Research on Real-time Simulation of Automobile Production Line based on Discrete Event and Multiagent
Authors: Zhang Yujie , Li Jiawei
Published: August 2023

To improve the production efficiency and quality of the automobile production line, optimize the balance rate of the production line, and realize the digital mapping of the new energy automobile production line. The critical production lines of new energy vehicles are accurately modeled and visualized in the Anylogic environment using multi-agent and discrete event modeling methods. Through the establishment of data connection with actual equipment and the simulation of the operation of the production line, a visual simulation and analysis interface of the production line is built to detect the impact of process time on the balance rate, whether the inventory strategy is reasonable and whether it meets the actual production requirements, reduce the optimization cost, and provide a new idea for the digital twin system of the automobile production line.
Research on Optimal Configuration of Distributed Generation based on Multi-scenario Analysis
Authors: Jiang Jianguo , Yang Lili
Published: August 2023

In order to make the grid-connected planning of distributed generation more reasonable, the uncertainties of intermittent distributed generation output and load forecasting are included in the solution process. Firstly, multi-scenario analysis is introduced to transform the source load uncertainty problem into deterministic problem, and the Latin super-force sampling method is used to generate the initial planning scene. The density peak clustering idea and elbow method are used to improve the K-means clustering algorithm and reduce the scene. Secondly, the optimal allocation model of grid-connected distributed generation is constructed with the minimum annual comprehensive cost as the objective function. Finally, in view of the slow convergence speed and easy to fall into local optimum of particle swarm optimization (PSO), an adaptive inertia weight factor is adopted to improve PSO, and the effectiveness of the proposed model and method is verified by IEEE 33-node standard simulation example.
Research on Water Extraction from Remote Sensing Images based on Ada Boost Algorithm
Authors: Wu Dan , Ye Shenglan
Published: August 2023

The extraction of water in remote sensing image is a key step in the application of remote sensing image. Aiming at the existing problems in remote sensing image water extraction, a water extraction method based on Ada Boost algorithm is proposed. In this method, multiple thresholds are set for image segmentation, and the results are voted, and finally the water extraction results are obtained. Using the threshold value of 7 algorithms to synthesize, using the Ada Boost algorithm, the advantages and disadvantages of each algorithm are analyzed and compared. The experimental results show that the water body extracted by a single method and a combination of 7 methods is not ideal, but the water body extracted by a combination of two, three, four and five methods is relatively good, among which the best effect is the water body extracted by a combination of three methods.
Fake News Detection based on Deep Learning
Authors: Wang Rong
Published: August 2023

The rapid popularization of the Internet has broken the professional threshold of information dissemination, enabling more and more people to easily obtain information, share and express views through social media, which has greatly enriched people's daily life. However, due to the huge number of users of social media, false news fabricated for various purposes is emerging in endlessly. Moreover, with the progress of technology, false news is no longer simply spread in the form of text, but more spread through the combination of text, pictures and video, which greatly increases the confusion of false news. The experiment in this paper is based on tensorflow to detect false news. During the experiment, LR was used to obtain the fusion coefficients of CNN and LSTM models, that is the regression coefficient of LR, and then calculated the optimal threshold with the fused model on the verification set. In addition, in terms of model selection, lightgbm and xgboost were selected to train the model on the training set for false news, and predicted the news text on the testing set. The results of three experiments show that the effect of using xgboost model is the best, and the F1 score obtained in the experiment is the highest.
Robot Motion Planning with Optimization-based Algorithm and Neural Network: Unsupervised Path Regression
Authors: Kang Yunfeng , Mai Yixin
Published: August 2023

Planning collision-free motions for robots is challenging in environments with complex obstacle geometries. In this study, we combine the optimization-based algorithm and neural network to obtain a short and collision-free path through unsupervised path regression. The network can help to predict an educated initial path for an optimization-based planner, which will converge to a better solution. We compare different path representations, world representations, and also their combinations to improve the result. The motion planning problem is extended from a sphere robot in a single 2D world to a more complex static arm robot in multiple worlds. Through our experiments, we can find that in multiple worlds, the relative path with the signed distance field is the best combination for both robots. This is not only proved by metrics of feasible rate and loss but also by the visualization in the map.
A Question Answering System for Situation Puzzle with SPQA
Authors: Zhao Tian
Published: August 2023

There are many questions answering (QA) system built for solving QA tasks. In 2020 and 2022, Allen Institute and the University of Washington proposed UnifiedQA and UnifiedQA-v2. Their core concept is that the semantic understanding and reasoning capabilities required by models are common, and may not require format specific models although the QA task forms are different. Behind this concept, I build a new QA model named SPQA, aiming to answer the situation puzzle questions by adding new situation-puzzle related dataset (SpQ). In addition, I evaluate the performance of SPQA and UnifiedQA-v2 for fine-tuning and prompt-tuning. The results of fine-tuning indicate that SpQ dataset is important for fine-tuning and prompt-tuning to answer situation puzzle questions well, but also make the answering ability of normal yes/no questions worse. Eventually, the results of prompt-tuning indicate that the effects of SpQ is larger and more significant on situation puzzle questions and normal yes/no questions under the same data scale. In the future work, the further research like building larger SpQ dataset should be considered.
LSTM-Based Stock Price Prediction
Authors: Lu Hongwei
Published: August 2023

Predicting stock prices is a job that researchers and analysts have been working on for many years. Investors have shown great interest in this area so that they can better manage their assets. Accurately predicting changes in stock prices in the market can generate huge economic benefits. In view of the high noise, nonlinearity and non-stationarity of stock price data, which makes it very difficult to accurately predict the stock price, this paper intends to use the long-short-term memory network (Long Short-Term Memory, LSTM) Recurrent Neural Network (RNN) architecture to establish A model that predicts the future value of a stock.
Weed Recognition Method based on Hybrid CNN-Transformer Model
Authors: Zhang Jun
Published: August 2023

As an important task in precision agriculture, weed recognition plays a crucial role in crop management and yield increase. However, achieving high accuracy and efficiency at the same time remains a challenge. To address the balance between accuracy and timeliness in weed recognition, this paper proposes a hybrid CNN-Transformer model for weed recognition. The model uses a combination of convolutional neural network (CNN) and Transformer structures for feature extraction and classification, taking into account both global and local information. In addition, the proposed Transformer Block incorporates the SDTA (Segmentation Depth Transpose Attention) mechanism to improve timeliness. Furthermore, this paper improves the original ViT model to enhance its accuracy. Experimental results on the Deep Weeds dataset by Olsen et al. show that the proposed hybrid model outperforms the original Vision Transformer model in weed recognition accuracy (89.43% vs. 96.08%). This research provides an effective solution for weed recognition using a hybrid model, with high practical value and application prospects.
Overview of System-Level Security Technologies based on ARM TrustZone
Authors: Deng Pengfei , Liang Xiyin , Pan Peirong , Pan Xu
Published: August 2023

With the rapid development of embedded technology and the increasing complexity of system functionality, there is a growing need for a trusted computing environment to ensure the security, integrity, and reliability of sensitive information. Systems not only need to protect the security of sensitive application code but also ensure the isolation of their execution process to prevent attacks and data theft. Traditional system protection is achieved by using security mechanisms that run in the same address space and privilege level as the kernel. However, this approach is not sufficiently secure as attackers who compromise the kernel can also compromise these security mechanisms. To achieve true kernel and critical data protection, security mechanisms need to be isolated. Therefore, building a trusted isolation runtime environment in the system is crucial for system security. TrustZone technology, developed by ARM, is a system-level security isolation framework capable of defending against various potential attacks. this paper provides an overall overview of different security isolation technologies. By concentrating on the principles and characteristics of ARM TrustZone, the paper conducts an in-depth analysis of system security isolation technology based on TrustZone. Finally, considering the existing security issues in the field of trusted execution environments, the paper presents prospects for the future development of this technology.
Visual Analysis of Campus Card Consumption Data based on Matplotlib
Authors: Meng Qianhui , Sun Ruikang
Published: August 2023

This paper selected the consumption data derived from the student campus card of the School of Management Science and Engineering of Anhui University of Finance and Economics as the research object. Initially, data cleansing and classification were conducted using Python and Excel. Subsequently, the Matplotlib library was utilized to visually analyze both overall data of student consumption and the dining data with its higher proportion. Through the in-depth study of the campus card data, a thorough understanding of students’ dining patterns was achieved. Furthermore, the study recorded fluctuations in cafeteria footfall at various times of the day, providing valuable reference for optimizing resources and informing management decision-making regarding the school canteen from multiple perspectives.
Calculation of Required Air Volume and Verification of Ventilation Capacity for Mines
Authors: Luo Guang
Published: August 2023

The ventilation system is an important component of the mine safety production system, which directly affects the mine production capacity and on-site safe and efficient production. Taking the air demand and ventilation capacity of the Xinyuan coal mine as the research object, the air demand of the coal mining face, excavation face, backup face, chamber, and other air consumption tunnels were analyzed and calculated. The ventilation capacity of the mine ventilation system was verified, and the actual total air demand of the Xinyuan coal mine was determined to be 15943.6m3/min. After verification, its ventilation capacity can meet the daily safety production needs of the mine.
An Intrusion Detection Method based on Fusion Neural Network
Authors: Li Xin , Huang Hong , Yuan Guotao , Wang Zhaolian , Du Rui
Published: August 2023

Aiming at the problems of class imbalance, insufficient feature learning, weak generalization ability, and representation capability in existing intrusion detection models, we propose a multi-scale feature fusion Intrusion Detection Model (MSFF). This model combines multi-scale one-dimensional convolution and bidirectional long short-term memory (LSTM) networks, and incorporates residual connections with identity mappings to address the problem of network degradation. The multi-scale convolution captures feature representations at different levels, thereby improving the expressive power of the model. The WGAN-GP algorithm is employed to augment the minority samples and balance the dataset. By performing convolution operations and extracting local window features and global features using bidirectional LSTM units, the model effectively captures temporal information and long-term dependencies. Experimental results demonstrate significant performance improvement compared to a single model. The MSFF model achieves an accuracy of 99.50% and 94.73% in binary classification experiments on the NSL-KDD and UNSW-NB15 datasets, respectively, and an accuracy of 99.50% and 83.78% in multi-class classification experiments.
Bearing Fault Diagnosis based on Residual Network Attention Mechanism
Authors: Huang Chunxiu
Published: August 2023

Aiming at the problem that the detection of bearing fault diagnosis is rarely applied in the research of image classification, a new method based on residual network and attention mechanism is proposed to identify bearing fault diagnosis. One-dimensional vibration signals are transformed into two-dimensional time-frequency images by continuous wavelet transform (CWT), which are input into the model for classification. In order to solve the problem that the traditional convolutional neural network model ignores the low diagnostic accuracy of channel attention and spatial attention due to the loss of important features, the attention mechanism CBAM module is added to make up for the loss of channel features and spatial features in the traditional model. At the same time, the residual network Resnet combined with the attention mechanism can better capture the global information of the time frequency graph, and make up for the defects of the residual network module. The experimental results show that the model has high diagnostic accuracy in rolling bearing fault diagnosis, which proves that the proposed method is effective and feasible.
Nurse Scheduling Algorithms based on Different Scenarios
Authors: Zhang Zhichao
Published: August 2023

This algorithm is based on a combination of integer programming, genetic algorithm, and decision tree to study nurse scheduling management problems in different scenarios. Firstly, the usage scenarios are classified based on the number of department members and energy levels. Then, the initial solution is obtained through integer programming based on information such as the actual energy level of nurses in the hospital. Finally, genetic algorithm is used to optimize the initial solution to obtain a final solution that is more in line with practical requirements. This algorithm can automatically classify or manually set use scenarios, and automatically obtain shift scheduling information by entering personalized parameters, which can meet the personal shift scheduling needs of nurses to the greatest extent, and can greatly reduce the high-frequency shift scheduling workload of Matron.
A Review of YOLO Object Detection Algorithms based on Deep Learning
Authors: Cong Xiaohan , Li Shixin , Chen Fankai , Liu Chen , Meng Yue
Published: August 2023

Object detection is a research hotspot in the field of computer vision, and YOLO series shows good performance in object detection, and has been widely used in robot vision, unmanned driving and other fields in recent years. This paper first introduces the YOLO series algorithm, including the principle, innovation points, advantages and disadvantages of various algorithms, then introduces the application field of YOLO series, and finally analyzes its future development trend to provide reference for the topic research.
Design and Implementation of a C++Based Hotel Management System
Authors: Chen Wei , Chen Xiangyu
Published: August 2023

In this paper, we use C++ as the development language and QT to design and develop a hotel management system for the current development of the hotel industry. The system adopts the B/S model to connect the object with the database, so that it has better flexibility and reusability. Its functional modules mainly include customer service module, front-end processing module, back-end management module, data storage module and other parts, which mainly realize the hotel customer's reservation, check-in and check-out and the management of the hotel internal staff and other functions. The development cost of the system is low and the operation is simple, which reduces the learning cost of the staff, improves the management efficiency of the hotel and facilitates the maintenance and management at a later stage.
A Survey of Language Priors for Visual Question Answering
Authors: Xu Hantao , Ye Xia , Yang Zhangping , Zhao Pujie
Published: August 2023

In recent years, with the development of deep learning technology, visual question answering tasks have gradually attracted the attention of scientific researchers. Due to the continuous improvement of relevant large-scale standard data sets, a large number of visual questions answering research results have been released one after another, and the accuracy rate of the visual question answering model based on deep learning on the data set has been continuously improved. Recent studies have found that the previously proposed visual question answering model has different degrees of data set language prior problems, that is, the model is overly dependent on the strong phase between the question and the answer in the training process. Many articles briefly describe various research methods, and look forward to the future development direction of alleviating the prior problem of visual question answering based on the existing research.
IMPLEMENTASI	METODE	TALAQQI	PADA	PEMBELAJARAN TAHFIDZUL QUR’AN DI SMP IT NURUL AZMI MEDAN
Authors: Puspita Ika , Munawir Pasaribu
Published: August 2023

This research is entitled “Implementation Of The Talaqqi Method in LearningTahfidz Qur’an at SMP IT Nurul Azmi Medan”. This study aims to determine the implementation of teachers in tahfidz learning with the talaqqi method, describe the design of tahfidz learning in carrying out the learning process for students, and the benefits of implementing the talaqqi method in tahfidz learning.

The approach used in this research is a qualitative approach with a descriptive type of research. Data collection technique is to use observation, interviews and documentation at the school.
Aplicabilidade da programação visual de desenvolvimento de produto de moda
Authors: Pereira Livia Marsari , Andrade Raquel Rabelo , Almeida Patricia Aparecida de , Menezes Marizilda dos Santos
Published: August 2023

A partir de uma revisão teórica, esta pesquisa tem por objetivo apresentar diretrizes de ensino que reúnam conhecimentos da programação visual com o propósito de incorporar fundamentos Design Gráfico, Design de Superfície e Design da Informação ao projeto de produtos de moda. Como resultado é apresentado um método de ensino, dividido em cinco módulos, que pode ser incorporado como uma disciplina em cursos superiores de Moda ou ser inserido em outros componentes curriculares.
Hubungan Independensi Auditor dan Integritas Laporan Keuangan
Authors: Jena Kotilda Contesa , Erawati Teguh
Published: August 2023

Tujuan penelitian ini yakni agar memahami pengaruh independensi auditor, ukuran perusahaan, dan komite audit pada integritas laporan keuangan. Informasi sekunder dimana dipakai penelitian berasal dari perusahaan-perusahaan di industri perbankan dimana terdaftar pada BEI. Populasi penelitian ini yakni perusahaan di industri perbankan yang terdaftar di BEI dari tahun 2016 hingga 2019, dan sampel dipilih dengan memakai strategi purposive sampling berdasarkan kriteria tertentu. Selanjutnya, terpilih 39 organisasi dengan total 156 organisasi yang terlihat lama menggunakan laporan keuangan tahunan. Hasil penelitian menemukan jika independensi auditor berdampak positif pada integritas laporan keuangan, sedangkan ukuran perusahaan dan komposisi komite audit tidak berpengaruh.
Peningkatan Keterampilan Berbicara Anak Usia Dini Melalui Permainan Sandiwara Boneka
Authors: Hasmira Hasmira , Yudha Rivo Panji
Published: August 2023

Penelitian ini bertujuan untuk: (1) mengimplementasikan kegiatan permainan sandiwara boneka dalam mengembangkan keterampilan berbicara peserta didik di RA Alkhairaat (2) meningkatkan keterampilan berbicara anak usia dini melalui permainan sandiwara boneka di RA Alkhairaat Jenis penelitian ini adalah Penelitian Tindakan Kelas. Subjek dalam penelitian ini adalah anak didik kelompok A di RA Alkhairaat tahun ajaran 2022/2023. Penelitian ini bersifat kolaboratif antara peneliti, guru kelas, dan kepala sekolah. Data dikumpulkan melalui observasi, catatan lapangan, wawancara, dan dokumentasi. Data dianalisis secara deskriptif kualitatif model alur. Hasil penelitian ini menunjukkan bahwa (1) implementasi permainan sandiwara boneka meliputi kegiatan awal, kegiatan inti, dan kegiatan penutup. Kegiatan awal berupa apersepsi dan pengenalan tokoh, pada kegiatan inti guru menunjukkan permainan sandiwara boneka, dan kegiatan akhir peserta didik menceritakan kembali dengan permainan sandiwara boneka. (2) permainan sandiwara boneka dapat meningkatkan keterampilan berbicara anak usia dini. Peningkatan prosentase keterampilan berbicara dari sebelum tindakan sampai dengan siklus II yakni sebelum tindakan 40,13 %, siklus I mencapai 61,08 %, siklus II mencapai 79,74 %.
ETIKA BISNIS BERTRANSAKSI DALAM ISLAM (PERSPEKTIF HADIS)
Authors: Nurfitri Fira , Anugrah Andi , Husain Hukmiah
Published: August 2023

This research aims to find out the hadith about business ethics. The method used in the article is library research which involves a number of activities related to data collection methods from library sources, reading, recording and analyzing research materials. The results of this study show that the hadith about business ethics that transactions above the brother's transactions should be avoided, in accordance with religious teachings and government regulations. Business ethics in the Islamic view also includes truth, justice, and keeping promises in trade as well as sharing with charity.
Պարերը Վայոց ձորի հարսանեկան արարողություններում (ավանդույթ և արդիականություն)
Authors: Շամամյան Նարինե
Published: August 2023

Վայոց ձորի պարային մշակույթն առանձնանում է ինքնատիպ ոճով, վառ ու գունեղ թատերային պատկերներով: Դեռևս անցած դարի 90-ական թվականներին վայոցձորցիների մշակութային կյանքի անբաժան մասն են կազմել թատերային բնույթ ունեցող պարերը, որոնք կատարվել են հարսանեկան արարողությունների, ավանդական տոների, տարբեր միջոցառումների ժամանակ: Քանի որ հայ ազգագրության սկզբնավորումից ի վեր մեր պարագետները հատուկ անդրադարձ չեն կատարել Վայոց ձորում կենցաղավարող պարերին, դրանց հիշատակումն ու նկարագրությունը հանդիպում է ընդհանուր բնույթի ազգագրական, ուղեգրական և բանագիտական աշխատություններում:
В начале 20-ого века в Вайоц дзоре во время свадебных церемоний исполнялось много видов танцев. Среди них выделялись групповые танцы кочари, гёвнд, маймо, трук, машке, яйлы, сольный танец чобани (пасторальный), а также другие. Танцевальная культура поселений области Вайоц дзор формировалась с 19-ого века до середины 20-ого века в результате слияния танцев персидских, арцахских и нахиджеванских армян, которые постоянно переселялись. Свидетельства о свадебных танцах Вайоц дзора есть в работах таких исследователей как Каджберуни, Ерванд Лалаян, Завен Тагакчян и Рипсиме Пикичян, Алвард Газиян и Тамара Геворкян. Присущие Вайоц дзору местные хороводы и сольные пляски были обычным явлением в свадебных церемониях начала 20-ого века.
In the early 20th century, various types of dances were performed in wedding ceremonies in Vayots dzor. Among those were Kochari, Gyovnd, Maymo, Truk, Mashke, Yaily group dances, Chobani (pastoral) solo dance and others. The dance culture of the settlements of Vayots Dzor region was formed from the 19th century to the middle of the 20th century, as a result of the fusion of the dances of Persian Armenians, Artsakh Armenians, and Nakhijevan Armenians who were continuously resettled.
Իրանահայերի չուբբազի (փայտախաղ) և դաստմալբազի (թաշկինակներով պար) պարերը ծիսական և կենցաղային միջավայրում
Authors: Անանյան Հայարփի
Published: August 2023

Վերջին 10 տարիների ընթացքում Հայաստանում գործող ավանդական երգի- պարի խմբերն իրենց պարացանկում հաճախ են ընդգրկում իրանահայերի՝ մասնավորապես փերիահայերի պարեր ։ Պատճառը պարագետներ Ժենյա Խաչատրյանի ու Ռուդիկ Հարոյանի արխիվն երում եղած և համացանցում տարածված Աշտարակի «Փերիա» խմբի տեսանյութերն են, որոնք թույլ են տվել որոշ պարեր վերականգնել և կրկին պարել։ Կատարվող պարերից բավական տարածված և տպավորիչ են չուբբազին ու դաստմալբազին, որոնց առնչությամբ էլ կատարվել է մեր հետազոտությունը ։
The traditional song-dance ensembles in Armenia during the past ten years frequently have been performing Iranian Armenian dances, notably dances of Armenians of Persia, in their repertoire. Among them, we have emphasized Choob-bazi and Dasmal-bazi dances, and our research was done in relation to them. In the article, we tried to give the characteristics of these two dances, presenting them as completely as possible, and the parallel between the dance name and dance step performed by other peoples living in Iran (Qashqais, Lurs), and their transformations during stage performances by today's traditional groups.
В последние 10 лет действующие в Армении традиционные песенно-танцевальные коллективы часто включают в свой репертуар ирано-армянские танцы. Среди последних мы выделили танцы чуб-бази и дасмал-бази, которым посвящено наше исследование. В данной статье мы постарались дать характеристики этим двум танцам, представив их максимально завершенными название танца, танцевальные шаги, их параллели в исполнении других народов, проживающих в Иране (кашкайцы и луры), их трансформации во время сценических выступлений современных традиционных коллективов.
Օրորոցի լեզվամշակութային դրսևորումները հայ իրականության մեջ (անգլալեզու նյութի համադրմամբ
Authors: Մատիկյան Հասմիկ
Published: August 2023

Օրորոց/ օրոցք հասկացությունը, արմատավորված լինելով ժողովրդական գիտակցության մեջ, հանդես է գալիս ինչպես բանահյուսական մակարդակում՝ օրհնանք- մաղթանքներում, անեծքներում, առած- ասացվածքներում, դարձվածքային կապակցություններում, այնպես էլ գրական միջավայրում (հեղինակային ստեղծագործություններում): Ուշագրավ է, որ օրորոց բաղադրիչով ցանկության բանաձևերը հեղինակային երկերում նույնպես ընդգրկուն են. օրոցք բաղադրիչը պարունակող հեղինակային տեքստերում տեսնում ենք բանահյուսական նյութի խարսխում:
The cradle, as an important component of the nursery, has a unique description in folk and literary works. Within the frameworks of the research, we presented the fictional and real image of the cradle in the context of lullaby texts. The concept of the “cradle” is closely related to the genre of lullaby. Sometimes words “cradle” and “lullaby” in folk lullabies have the same semantic content. Linguistic analysis of the word “cradle” allows us to highlight and reveal its linguistic and cultural peculiarities, which are manifested at different folklore levels.
Колыбель как принадлежность ребенка имеет уникальное описание в традиционных и литературных произведениях. В рамках статьи мы представили образ колыбели (люльки), проведя лингвистические исследования, а также рассмотрели колыбель в контексте колыбельных песен. Понятие «колыбель» тесно связано с жанром колыбельной. Иногда в народных колыбельных текстах слова «колыбель» и «колыбельная песня» имеют одинаковое смысловое содержание. Лингвистический анализ слова «колыбель» позволяет выделить и раскрыть его языковые и культурные особенности, проявляющиеся на разных фольклорных уровнях.
Խաչքարերի ուսումնասիրության մեթոդաբանական ակնարկ
Authors: Խաչատուրեան Յարութիւն
Published: August 2023

Խաչքարերի մասին բազմաթիվ հրապարակումներ են եղել, որոնք, սակայն, բավարար չեն խաչքարային արվեստի մասին ամբողջական պատկեր ստանալու համար. պակաս է հիմնականը՝ ճշգրիտ խաչքարացուցակը ։ Գիտենք, որ յուրաքանչյուր խաչքարի ուրույն «գոյանշումը (identification)» հեշտ չէ, հետևաբար այս արվեստին վերաբերող դասակարգման համակարգը, ձևայնացումը (formalisation) ևեզրաբանությունը անբավարար են։ Այս հարցերը կարևոր են թե՛ ժառանգության կառավարման, թե՛ գիտության և թե՛ զբոսաշրջության քաղաքականության համար, մանավանդ որ խաչքարի արվեստը ներառվել է ՅՈՒՆԵՍԿՈ-ի ցանկում:
A systematic literature review of the preferred organizational conflict management styles in Malaysia
Authors: Awalluddin Muhammad Aiman , Maznorbalia Anisa Safiah
Published: August 2023

Conflict is considered an inevitable aspect of human social relationships and an inevitable and significant occurrence in all organizations. This study will review the literature on preference conflict organizational management style in Malaysia. From 2013 to February 2023, a systematic examination of the three most databases was conducted. Articles from peer-reviewed journals that examine conflict management styles in Malaysia and are consistent with the theory of conflict management style were included to achieve the research goals. The reviewers independently applied the selected criteria, extracted the data, and evaluated the quality of the study. Eleven of the 635 studies discovered met the inclusion requirements. The findings indicate that Malaysia’s preferred management style is integrative and compromising. However, if the organization’s demographics are multicultural, Malaysians tend to employ a conflict-avoidance style to avoid significant conflicts. Depending on the circumstances, the research indicates that Malaysians are pacifists and fighters in conflicts threatening their well-being. They attempt to become more respectful while maintaining positive relationships with all parties involved. The study provides several significant contributions for practical purposes and knowledge to interested parties, such as managers and organizational leaders, in determining the best practice for conflict resolution. Further research is required to investigate the state of the employee-employer relationship following the implementation of the proposed conflict resolution style.
Zooming into the Lived Experiences of Mathematics Teachers in the Implementation of the Claim-Evidence-Reasoning (CER) Approach
Authors: Edquilag Gimmel , Evardo Orville Jr , Abina Ivy Lyt
Published: August 2023

Mathematics educators are constantly searching for new and innovative approaches to teaching with the goal of improving student learning outcomes. This phenomenological study aimed to describe the lived experiences of mathematics teachers in implementing the Claim-Evidence-Reasoning (CER) Approach. The study was participated by 13 mathematics teachers, and data were gathered through in-depth interviews and a focus group discussion. Thematic analysis was used to interpret the data guided by Colaizzi’s method. Findings revealed that participants experienced struggles in instruction and assessment, adapted growth mindset and employed support systems, had milestones in the implementation of the CER Approach, and were open to continuous personal and professional development. Furthermore, the teachers’ resiliency and adaptability in the process and the school’s support helped overcome the issues encountered in implementing the CER Approach. The findings imply that the use of CER Approach have the potential to improve the reasoning skills of students in mathematics. Further, it is recommended that mathematics teachers continue to utilize the approach and that educational institutions should provide proper training to teachers through In-Service Training (INSET).
Therapeutic effect of amlodipine versus benidipine in the management of essential hypertension – A comparative study
Authors: S Lakshmi , K Srinivas , K Shama
Published: August 2023

Background: Hypertension is a significant risk factor for atherosclerotic diseases. Calcium channel blockers (CCBs) are extensively used in hypertension treatments that effectively reduce blood pressure. The dihydropyridine category of CCBs, which includes amlodipine and the new generation CCB benidipine, has shown the best outcomes.

Aims and Objectives: The aims of the study were to compare the effectiveness of amlodipine and benidipine in treating uncomplicated hypertension in patients visiting tertiary care facilities.

Materials and Methods: A source of 134 participants of both genders diagnosed with uncomplicated hypertension with blood pressure ≥140/90 mm Hg, between 21 and 65 years of age were recruited. Participants were randomly allocated and treated with amlodipine 2.5 mg for Group A and benidipine 4 mg once a day in the morning. Details of ankle edema were collected and serum creatinine and urine albumin data were recorded at baseline, 6 weeks, and 12 weeks.

Results: The ankle edema was observed in 35.82% of cases in Group A and 10.44% in Group B. The mean serum creatinine level was 0.92 mg/dl in Group A and 0.87 mg/dl in Group B. The mean systolic blood pressure (SBP) was 151.7 mm Hg and 153.9 mm Hg at baseline, which was reduced to 132.58 mm Hg and 128.44 mm Hg after drug therapy in Groups A and B, respectively. The mean diastolic blood pressure was 97.14 mm Hg and 98.96 mm Hg before therapy, which was reduced to 82.4 mm Hg and 82.2 mm Hg after therapy, respectively.

Conclusion: Amlodipine and benidipine are similarly effective antihypertensive medications on their own. However, compared to the amlodipine-treated group, the benidipine-treated group displayed a significant reduction in the mean difference in SBP.
The development of RBL-STEM learning materials to improve students' combinatorial thinking skills in solving the rainbow anti-magic coloring problem and it’s application on subsidized fuel distribution using STGNN
Authors: Maghfiro Syahril , . Dafik , Kristiana Arika Indah
Published: August 2023

Science, technology, engineering, and mathematics (STEM) education has become a primary focus in the development of higher education curricula. RBL-STEM education involves research-based learning methods and integrates science, technology, engineering, and mathematics in real-world contexts. One important thinking skill in RBL-STEM is combinatorial thinking, which involves the ability to combine elements from different groups and create various combinations. In this context, this study aims to develop an RBL-STEM learning tool that can enhance students' combinatorial thinking skills in solving the problem of rainbow anti-magic coloring. The development of the RBL-STEM tool includes Student Task Design (RTM), Student Worksheet (LKM), and Combinatorial Thinking Skills Test (TKBK) using the 4D development model (define, design, develop, and disseminate). The results of the tool development show good validity with a score of 3.58 for Student Task Design (RTM), a score of 3.53 for Student Worksheet (LKM), and a score of 3.5 for Combinatorial Thinking Skills Test (TKBK). The trial was conducted with 23 students, and the use of the RBL-STEM tool was assessed as practical and effective with an implementation rate of 95%. Additionally, students were highly active with a participation rate of 95.5% and provided a very positive response of 93% towards the learning. Pretest and posttest analysis indicated an improvement in students' combinatorial thinking skills in solving the problem of rainbow anti-magic coloring.
НЕЗАБУТНІЙ ДМИТРО КРЕМІНЬ
Authors: Федака Сергій
Published: August 2023

У статті зроблено спробу представлення спогадів про Дмитра Дмитровича Кременя, середовище його становлення. Обґрунтовано цінності, які сповідував митець. У розвідці запропоновано фрагмент  антигеноцидної вистави В. Шершуна «Меморандум Герштейна» за поемою Д. Кременя  про Другу світову війну. Здійснено спробу осягнути велич і глибину поета.
ОЛЬВІЙСЬКИЙ ВЕРТЕП ДМИТРА КРЕМЕНЯ: АНДЕҐРАУНД І КЛАСИКА
Authors: Ребрик Наталія
Published: August 2023

Дмитро Дмитрович Кремінь – видатний український поет, публіцист, есеїст, перекладач, лауреат Шевченківської премії в галузі літератури, народився на Закарпатті, жив і працював на Миколаївщині. Уже в ранній його творчості з’являються великі художні полотна – поема «Меморандум Герштейна», поетичні симфонії: «Сад», «Параноїчна зона “А”», «Тан блукаючого вогню», «Коні Адамові». У збірці «Літній час» (Миколаїв, 2007) центральне місце посідає поема «ANNO DOMINI», до якої автор дає підзаголовок: «Пропала поема. Фрагменти, вихоплені з вогню». Це вже «пізній» Кремінь, якому болить тема української пропалості й пропащості, історичної нереалізованості, з волі чужинців або з власного безголов’я. У статті зроблено спробу художньо-естетичного аналізу модерної поезії Дмитра Кременя, доведено думку, що автор у творі «Пропала поема» суперечить усталеним філософським, етичним, естетичним кодам соціуму й скеровує поетичне Слово на самовираження.
ПОЕТИЧНА ПЕДАГОГІКА ДМИТРА КРЕМЕНЯ В РАКУРСІ АРХЕТИПНОГО СВІТОСПРИЙМАННЯ
Authors: Ходанич Лідія
Published: August 2023

Стаття присвячена проблемі формування духовного світу особистості засобами поезії. Автор окреслив архетипи колективного несвідомого, що використовує поет як енергетичні утворення, здатні впливати на читача, створюючи активну матрицю формування національної свідомості та етнічної ментальності. З цією метою здійснено аналіз поезії різних років на основі концепції оптимальної організації літературного твору. Особливо закцентовано на семантиці кольору та когнітивних дихотоміях. Досліджено, як поет розвиває усталені стереотипи колективного сприйняття, «нарощуючи» нюанси зв’язків із новим, індивідуальним, баченням. У процесі аналізу поетичної творчості Д. Кременя виявлено, що архетипи колективного несвідомого водночас із виховними константами є домінантами, що оприявнюють національну ідентичність на текстуальному рівні і виконують виховну функцію засобами поетичної педагогіки на основі християнських моральних цінностей та ідей гуманізму й естетизації буття. Уперше здійснено спробу вибудувати цілісну систему архетипів колективного несвідомого у поезії Д. Кременя як засобу формування національно свідомої особистості.
ПОЕЗІЯ ДМИТРА КРЕМЕНЯ НА УРОКАХ ЛІТЕРАТУРИ РІДНОГО КРАЮ (НА ПРИКЛАДІ ВІРША «ШУКАЮ ІСТОРИЧНУ БАТЬКІВЩИНУ…»)
Authors: Гич Галина
Published: August 2023

У практико орієнтованій статті висвітлено методичні аспекти вивчення творчості видатного українського поета, публіциста, перекладача і есеїста, лауреата Державної премії України імені Тараса Шевченка Дмитра Дмитровича Кременя. Запропоновано авторське змістове структурування сайту «Безмежжя Дмитра Кременя в усемережжі» (технічне виконання - Центр цифрової культури і медіаосвіти МОІППО), створеного з метою популяризації творчості ювіляра, інформаційні ресурси якого можна використовувати для ознайомлення учнів із життєвим та творчим шляхом лауреата Шевченківської премії. Представлено авторські інноваційні види роботи з текстом поезії «Шукаю історичну батьківщину…», спрямовані на роботу як з традиційними, так і з електронними текстами. Визначено основні шляхи подальшого науково-методичного вивчення спадщини лауреата Шевченківської премії Дмитра Дмитровича Кременя.
МЕТОДИЧНІ АСПЕКТИ ВИВЧЕННЯ ПОЕЗІЇ Д. Д. КРЕМЕНЯ (із досвіду роботи обласної творчої групи)
Authors: Пономаренко Ганна , Діордіца Діна
Published: August 2023

У науково-методичній статті здійснено теоретико-методологічний аналіз побудови уроків літератури рідного краю. Акцентовано на інтегративності та суб’єкт-суб’єктній взаємодії як важливих принципах вивчення творчості митців-краян. Визначені особливості методики проведення уроків / занять (із)літератури рідного краю: компетентнісно-діяльнісний та інтегрований підходи (пріоритетні освітні напрями), дослідницька діяльність учнів, зв’язок із життям, урахування історико-регіональних особливостей, відбір творів високої художньо-естетичної якості, що відображають українську ідентичність. Виокремлені особливості уроків / занять (із)літературного краєзнавства в школі. З’ясовані умови успішного осягнення творчої спадщини поета: занурення у творчість Дмитра Кременя; узяті до уваги особливості методики проведення уроків / занять (із) літератури рідного краю, психології читання; мотивування учнів-читачів до дослідницької діяльності, створення умов для розвитку творчих здібностей учнів-читачів; формування і розвиток емоційного інтелекту; використання інформаційно-комп’ютерних технологій. Продемонстровано досвід роботи обласної творчої групи вчителів української і зарубіжної літератур «Література рідного краю в постатях: Дмитро Кремінь» над проблемною темою: «Методичні аспекти вивчення поезії Д. Д. Кременя».  Уперше запропоновано зразок моделі компетентнісно-діяльнісного літературного заняття «Ліричні послання Україні. Дмитро Кремінь «Літа мої і зими…» (розробник С. А. Кисленко) за авторською концепцією В. І. Шуляра.
PROPOSTA DE IMPLEMENTAÇÃO DE ROTEIRO TURÍSTICO RURAL EM SEROPÉDICA, RJ: ESTUDO DE CASO DO BAIRRO INCRA
Authors: Oliveira Sérgio Domingos , Rosa Lélio Galdino , Tomazin Mariana , Cunha Monique Laurencia dos Santos
Published: August 2023

A implementação de um roteiro turístico rural no município de Seropédica, localizado na região metropolitana do Rio de Janeiro, é aqui discutida com o objetivo de se propor um roteiro integrado preliminar, verificando se este é viável, se os atributos existentes e planejados suprem a necessidade para tal atividade turística e se os empreendedores locais se envolveriam no projeto. Desta forma, este estudo de caso refere-se ao Bairro Incra e para desenvolvê-lo, realizou-se pesquisa básica por meio de visita técnica ao local, visitando-se os possíveis atrativos e infraestruturas existentes, como o local proposto para a construção de um meio de hospedagem rural, alambique, frigorífico, propriedades rurais e lago, captando-se imagens ao longo da visita. Para complementar, realizaram-se entrevistas com os gestores dos empreendimentos, adotando-se, como procedimento, a pesquisa participante a fim de traçar um roteiro rural preliminar, avaliando-se a sua viabilidade.
ATUAÇÃO DOS PROFISSIONAIS DE ENFERMAGEM NO PROCESSO DE ALTA DE NEONATOS EM UMA UNIDADE DE TERAPIA INTENSIVA NEONATAL
Authors: Vieira Larissa Rayane Firmo dos Santos , Amaral Fabíola Mara Gonçalves de Siqueira , Boeckmann Lara Mabelle Milfont , De Morais Rita de Cássia Melão
Published: August 2023

Objetivo: Analisar a atuação dos profissionais de enfermagem no processo de alta de neonatos hospitalizados em uma Unidade de Terapia Intensiva Neonatal (UTIN). Metodologia: Estudo com abordagem qualitativa. Nos meses de outubro a janeiro de 2022 foram realizadas 11 entrevistas semiestruturadas, com membros da equipe de Enfermagem da UTIN, sendo cinco enfermeiros e seis técnicos de enfermagem de um hospital público do Distrito Federal. A análise dos dados foi temática. Resultados: todos os participantes eram do sexo feminino, tendo em média: 43 anos de idade, 13 anos de formação, 10 anos de experiência em Neonatologia e 4 anos de Experiência em Neonatologia no Hospital em questão. A partir da analise temática das entrevistas foram identificadas duas unidades temáticas intituladas: Processo de alta do neonato no cotidiano das práticas e Atuação da equipe de enfermagem no preparo de alta do recém-nascido. Conclusão: Verifica-se que, apesar imprecisão da equipe de enfermagem quando questionada sobre o seu entendimento a cerca do processo de alta o mesmo é realizado adequadamente de forma intuitiva. Outros aspectos constatados foram a falta de capacitação dos profissionais sobre a temática processo de alta, inexistência de protocolo operacional padrão, assim como outro tipo de material de apoio para auxiliar tanto os pais quanto a equipe na padronização da alta hospitalar dos neonatos.
COMPLICAÇÕES CLÍNICAS DA CIRURGIA METABÓLICA
Authors: Boranelli Agatha Paola , Cardoso Ana Clara Sena , Moscardini Maria Cecília de Paula , Silva Mateus Gomes , Barroso Taciane Miranda , Diniz Carolina Marcondes , Reis Ana Luiza de Freitas Ribeiro , Vieira Maria Paula Damasceno , De Andrade Ana Clara Lemos , Corrêa Vitor Augusto Osório
Published: August 2023

Introdução: A cirurgia metabólica é um procedimento que visa modificar o metabolismo e tratar doenças como obesidade, diabetes tipo 2, hipertensão e dislipidemia. Apesar dos benefícios comprovados dessa intervenção, existem riscos e complicações que devem ser considerados pelos pacientes e profissionais de saúde. Objetivo: Avaliar as complicações clínicas da cirurgia metabólica, bem como os fatores associados a elas, por meio de uma revisão sistemática da literatura científica. Metodologia: Foi realizada uma busca nas bases de dados PubMed, Scopus, Web of Science e SciELO, utilizando os descritores "cirurgia metabólica", "cirurgia bariátrica", "complicações", "eventos adversos" e "resultados a longo prazo". Foram incluídos estudos publicados entre 2013 e 2023, em português, inglês ou espanhol, que abordassem as complicações clínicas da cirurgia metabólica em adultos. Foram excluídos estudos que não fossem revisões sistemáticas ou meta-análises, que não tivessem um método claro de seleção e avaliação dos artigos incluídos, ou que não apresentassem os resultados de forma adequada. A qualidade metodológica dos estudos foi avaliada pelo Checklist PRISMA. Resultados: Foram encontrados 12 estudos que atenderam aos critérios de inclusão. As complicações clínicas mais frequentes relatadas foram: deficiência nutricional, hipoglicemia, síndrome de dumping, complicações mecânicas com a banda gástrica, tromboembolismo, enfarte do miocárdio, pneumonia e infecção urinária. Os fatores associados às complicações foram: idade avançada, comorbidades pré-existentes, tipo e técnica da cirurgia, adesão ao acompanhamento e suplementação pós-operatória. Considerações finais: A cirurgia metabólica é uma opção terapêutica eficaz para o controle das doenças metabólicas, mas requer cuidados pré e pós-operatórios para prevenir e tratar as possíveis complicações. É importante que os pacientes sejam bem informados e motivados para seguir as recomendações médicas e nutricionais. Além disso, são necessários mais estudos de alta qualidade para avaliar os desfechos clínicos a longo prazo da cirurgia metabólica.