bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strategi Manajemen Konflik dalam Meningkatkan Kinerja Guru di SMPN 28 Surabaya
Authors: Susanto Devita Fitryana , Dwianansya Wikacellne , Trihantoyo Syunu , Trihantoyo Syunu 
Published: May 2024

Strategi manajemen konflik dalam meningkatkan kinerja guru di SMPN 28 Surabaya merupakan penelitian yang bertujuan untuk menyelidiki efektivitas strategi manajemen konflik dalam meningkatkan kinerja guru di SMPN 28 Surabaya. Penelitian ini mengkaji bagaimana pendekatan manajemen konflik dapat berkontribusi pada lingkungan sekolah yang lebih harmonis dan produktif, yang mengarah pada peningkatan kinerja guru dan hasil belajar siswa secara keseluruhan. Metode yang digunakan dalam penelitian ini adalah metode kualitatif dengan pendekatan deskriptif, objek sasaran penelitian ini adalah waka humas SMPN 28 Surabaya. Pengumpulan data ini menggunakan hasil observasi dan wawancara, kemudian hasil data dianalisis dan diolah sehingga menghasilkan penjelasan secara deskriptif mengenai strategi manajemen konflik yang diperoleh melalui wawancara dan observasi waka humas SMPN 28 Surabaya. Hasil observasi yang dilakukan di SMPN 28 Surabaya menunjukkan bahwa pendekatan dalam menangani konflik di SMPN 28 Surabaya sudah terkondisikan dengan baik, melalui komunikasi terbuka sehingga kinerja guru tidak terganggu dan efektivifitas pembelajaran tetap terjaga. Pendekatan yang dilakukan oleh waka humas SMPN 28 Surabaya dalam menangani konflik telah terbukti efektif, terutama melalui komunikasi terbuka yang memungkinkan para guru untuk bekerja dengan baik tanpa terganggu oleh konflik. Dengan demikian, strategi manajemen konflik yang diterapkan di SMPN 28 Surabaya dapat dijadikan contoh bagi sekolah lain dalam mengatasi konflik secara efektif dan efisien.
MODUL PEMBELAJARAN IPAS KELAS IV BERBASIS KEARIFAN LOKAL PADA KURIKULUM MERDEKA
Authors: Yulia Nurul Mahruzah , Fithriyah Dewi Niswatul , Faizah Lyla Nur 
Published: May 2024

Lingkungan fisik (alam) maupun lingkungan sosial budaya yang dimiliki oleh masyarakat Bojonegoro dapat digali dan dikembangkan menjadi pendukung dalam pembelajaran di sekolah, agar siswa mampu menghargai dan melestarikan kearifan lokal di daerah sekitarnya. Apa lagi beberapa penelitian menyebutkan bahwa pengetahuan dan ketertarikan siswa terkait budaya rendah. Alat pendukung pembelajaran, seperti buku ajar, modul, dan LKS dalam materi lingkungan fisik, sosial, dan budaya didominasi oleh kekayaan fisik maupun budaya di lingkungan Nasional, bukan daerah lingkungan sekitar tempat tinggalnya. Penelitian dan Pengembangan ini menggunakan model ADDIE dengan 5 tahapan dan pengumpulan data dilakukan dengan 4 hal, yakni observasi, wawancara, angket, dan tes. Adapun kemampuan literasi budaya diukur melalui indikator. Komitmen kebangsaan, toleransi, anti kekerasan, akomodatif, dan inklusif . Setelah melakukan pengembangan modul dengan menganalisis hasil validasi dari beberapa ahli media yakni ahli materi, media, dan bahasa, modul dinyatakan layak setelah melakukan beberapa kali revisi, kemudian modul ini diimplementasikan ke sekolah dan didapatkan hasil perbedaan Literasi sosial budaya siswa yang menggunakan modul IPAS ini dengan modul dari sekolah sebesar 75% dan 93%. Hasil penelitian dan pengembangan ini menunjukkan bahwa modul yang dibuat dan disesuaikan dengan siswa, materi, dan kebutuhan lebih mampu mencapai tujuan pembelajaran.
Effet du choix d’agents virtuels d’apparences diverses sur la perception d’états affectifs
Authors: Lacasse Gabrielle , Légaré-Baribeau Marie-Pierre , Boulanger Sabrina , Tessier Marie-Hélène , Jackson Philip 
Published: May 2024

L’utilisation d’agents virtuels (AVs) pourrait être un moyen de représenter la diversité dans les technologies en santé mentale. Cependant, la perception de l’utilisateur envers les états affectifs des AVs reste méconnue. Cette étude visait à déterminer si le choix d’un regroupement d’AVs d’apparences diverses module l’évaluation des états affectifs d’autrui et si le sentiment d’appartenance perçu entre les participants et les AVs explique cette relation. 44 participants répartis aléatoirement en deux groupes devaient soit : 1) choisir un regroupement d’AVs ou ; 2) se faire imposer au hasard un regroupement d’AVs avec lesquels ils effectueraient la tâche d’évaluation d’états affectifs. Une adaptation du questionnaire Overlap of Self, Ingroup and Outgroup scale (OSIO) a été complété afin de mesurer le sentiment d’appartenance envers les AVs. Des tests-t comparant les groupes sur la reconnaissance émotionnelle, l’évaluation du désagrément global et le sentiment d’appartenance se sont révélés non significatifs. Une analyse de médiation qui évaluait la contribution du sentiment d’appartenance sur la relation entre le choix d’un regroupement d’AVs et le désagrément global perçu s’est également révélée non significative. Le choix d’un regroupement d’AVs n’influence donc pas l’évaluation émotionnelle. La promotion de la diversité en santé mentale pourrait ainsi passer par l’exposition à des AVs d’apparences variées.
Influences of sudden stratospheric warmings on the ionosphere above Okinawa
Authors: Hocke Klemens , Wang Wenyue , Ma Guanyi 
Published: May 2024

Abstract. We analyzed the ionosonde observations from Okinawa (26.7° N, 128.1° E; magnetic latitude: 17.0° N) for the years from 1972 to 2023. Okinawa is in the northern low-latitude ionosphere, where the influences of sudden stratospheric warmings (SSWs) on the ionosphere are expected to be stronger than in the mid- and high-latitude ionospheres. We divided the dataset into winters with major SSWs in the Northern Hemisphere (SSW years) and winters without major SSWs (no-SSW years). During the SSW years, the daily cycle of the F2-region electron density maximum (NmF2) is stronger than in the no-SSW years. The relative NmF2 amplitudes of solar and lunar tidal components (S2, O1, M2, MK3) are stronger by 3 % to 8 % in the SSW years than in the no-SSW years. The semidiurnal amplitude, averaged across 29 SSW events, has a significant peak at the central date of the SSW (epoch time 0 of the composite analysis). The SSW influence is not strong: the semidiurnal amplitude is about 38.2 % in the SSW years and about 34.0 % in the no-SSW years (relative to the NmF2 of the background ionosphere). However, there is a sharp decrease in the amplitude of about 10 % after the SSW peak is reached. The amplitude of the diurnal component does not show a single peak at the central date of the SSW. We present the maximal semidiurnal amplitudes of the SSWs since 1972. The SSW of 31 December 1984 has the strongest amplitude (162 %) in the ionosphere above Okinawa (with a high geomagnetic activity, Ap, of 37 nT). The most surprising finding of the study is the strong lunar tides with relative amplitudes of about 10 % and the discovery of a terdiurnal lunar tide (5 %) in the NmF2 during the SSW years. The periods of the ionospheric lunar tides align with the periods of ocean tides and lunisolar variations in the atmosphere.
Quality assurance and quality control of atmospheric organosulfates measured using hydrophilic interaction liquid chromatography (HILIC)
Authors: Liu Ping , Ding Xiang , Li Bo-Xuan , Zhang Yu-Qing , Bryant Daniel J. , Wang Xin-Ming 
Published: May 2024

Abstract. ​​​​​​​As a crucial constituent of fine particulate matter (PM2.5), secondary organic aerosols (SOAs) influence public health, regional air quality, and global climate patterns. This paper highlights the use of hydrophilic interaction liquid chromatography (HILIC) which effectively retains strongly polar analytes that might exhibit incomplete or no retention in reverse chromatography, resulting in superior separation efficiency. A HILIC column was used to analyze six standards, environmental standards (1648a and 1649b), and samples collected in urban environments in Guangzhou in the Pearl River Delta region, which serve as valuable reference points for evaluating the organic composition of the atmospheric environment. The results indicate a high degree of accuracy in the analytical method. Sodium octyl-d17 sulfate serves as the internal standard, with a linear correlation coefficient of the six standards, boasting a linear correlation coefficient r ranging from 0.993–0.9991 and a slope, k, of the linear equation from 0.966–1.882. The instrument detection limits (IDLs) are established at 0.03–0.20 µg mL−1, while the method detection limits (MDLs) fall within the range of 0.30–1.75 ng m−3, demonstrating the method's exceptional sensitivity. Since isoprene-derived organosulfates (iOSs) are highly polar due to containing a hydrophilic bond to the hydroxyl group and a hydrophobic bond to the sulfate, and as such showed strong retention using this method, this technique employs sodium ethyl sulfate and sodium octyl sulfate standards for semi-quantitative compound analysis of iOSs. The error in sample analysis (EA) ranged from 12.25 %–95.26 %, and the two standards maintained a consistent recovery rate between 116 %–131 % and 86.4 %–127 %. These findings indicate a high level of precision when semi-quantifying compounds with similar structural characteristics, affirming the analysis method's minimal relative error and underscoring its repeatability, process stability, and the reliability of its results for iOSs. To enhance the method's reliability assessment, the study analyzed polar organic components of standard particulate matter samples (1648a and 1649b), providing precise determinations of several iOSs using this method. Methyltetrol sulfate (m/z 215, C5H11SO7-) is the highest concentration in the ambient samples, up to 67.3 ng m−3 in the daytime. These results serve as valuable reference points for assessing the organic composition of the atmospheric environment.
Research on the Application of Image Processing and Image Recognition Algorithms in Digital Media in Content Editing and Production
Authors: YiJin Wu  
Published: May 2024

Image processing and image recognition algorithms are essential to content generation and editing in the digital age. They provide creative ways to improve visual quality, streamline processes, and customize user interfaces. In-depth methods for incorporating cutting-edge image processing and image recognition algorithms into digital media content production and editing workflows are covered in this study. Methods: To maximize visual quality, the research first focuses on pre-processing and improving digital images using the median filtering technique. The Histogram of Oriented Gradients (HOG) technique is applied to locate and identify the objects in images, that enabling customized and interactive content modification. After that, the images are segmented using the watershed approach, and the precise classification of the images is achieved by applying the Mayfly Optimized Spatial Graph Recurrent Neural Network (MOSGRNN), which improves content organization and retrieval. Results: The results of the experiments demonstrate that the suggested strategy performs well in all aspects of image processing in terms of accuracy (94.91%), recall (92.70%), recognition speed (44 FPS), and f1-score (93.7%). Conclusion: Content production, editing, and delivery across a variety of platforms might be significantly transformed by research on image processing and image recognition algorithms in digital media.
Lrfe: A Novel Local Response Feature Elimination Process for Identification of Lung Cancer Cells
Authors: Chintha Vishnu Vardhana Reddy  
Published: May 2024

One of the main causes of cancer-related mortality across the globe is lung cancer. Early-stage lung cancer frequently exhibits no symptoms, which delays diagnosis until the illness has progressed. Before symptoms manifest, screening and early detection techniques can aid in the early diagnosis and treatment of lung cancer. Many olden research papers have implemented image processing and few latest papers have implemented computer vision techniques to detect lung cancer. Particularly when dealing with minor or subtle anomalies, image processing algorithms may not be able to detect lung cancer lesions with sufficient sensitivity and specificity. It is still difficult to increase the detection algorithms' accuracy and dependability, especially when dealing with early-stage lesions or situations where attributes overlap. It takes a lot of processing power, such as high-performance GPUs and enormous memory capacities, to train deep learning models, particularly large-scale convolutional neural networks (CNNs). In this proposed research, the model pre-processes the images using the ostu and sober filter mechanisms because Otsu's approach adjusts to the features of the input image, including noise, contrast, and lighting fluctuations. It is capable of handling images with varying dynamic ranges and intensity distributions without depending on pre-established threshold settings. When it comes to image noise, the Sobel filter is more resilient than other edge detection methods. It produces clearer edge maps and fewer false detections by determining the gradient magnitude, which amplifies edge information while suppressing noise. The features are extracted using the tuned AlexNet pre-trained model, in AlexNet there is a layer known as “Layer-wise Relevance Propagation”. By giving each pixel or feature in the input image a relevance score, the LRP layer offers fine-grained feature attribution. This makes it possible to analyze in great depth which particular elements or areas of the input image are most important for the network to forecast, which helps to clarify the underlying patterns that the network has learned. At last, the extracted features are further reduced using the enhanced feature elimination method. By iteratively selecting subsets of features based on their importance, RFE helps to identify the most relevant features for the classification task. Integrating RFE with SVM classifiers can lead to improved model performance by focusing on the subset of features that are most discriminative and informative for the classification problem.
NDVI prediction using Machine learning after Geofencing on satellite data of Sugarcane crop
Authors: Mansi Kambli  
Published: May 2024

The manual fencing of the crop is too tedious and time-consuming for the farmers. The farmers have to physically see that they are not crossing the boundaries and usually, farmers fight related to the plots. In this paper focus is on the satellite data imagery of Satara district and if geofencing is done for sugarcane crops then monitoring the crop is comparatively easy and analysis can be further done related to sugarcane plots. Geofencing helps then to have the precise data of the farmer and boundaries can be detected to avoid hassles. The Cane plots that have been geofenced can then be labeled according to the plots of the farmers, thus streamlining th classification process. The digitization of the farmer plots is used in this paper and converted into shape files by using GIS which helps to do the further analysis of the crop. Further after doing the pre-processing by using GIS, the Normalized Difference Vegetation Index (NDVI) is predicted prior using Machine learning technique in python. The NDVI actual and predicted for one life cycle of sugarcane is shown in the paper. The NDVI predicted values can be helpful for sustainable agriculture of sugarcane crop in terms of disease detection, cane classification and prediction also. The Machine learning algorithms can be applied further and the geofencing can be done district wise in future scope along with the vegetation indices.
Various Load Sharing Strategies used in DC Microgrids
Authors: Shilpa K. Patel  
Published: May 2024

This paper provides a review of various load sharing strategies used in DC microgrids. DC microgrids usually utilize parallel connections of DC-DC converters to improve system reliability and flexibility. However, when connecting multiple converters in parallel in a microgrid, the resistance of the cables becomes a critical factor. Unequal load distribution and inadequate voltage control result from cable resistance, leading to the generation of circulating current. The equal load sharing can be achieved by active load sharing and passive load sharing method. These two broad categories encompass a wide range of control schemes. This paper provides a comprehensive analysis of active and passive load sharing strategies, highlighting their advantages and disadvantages. Very Few researchers have explored the influence of cable resistance on load sharing and voltage regulation. Also, the effect of circulating current on the converter is a relatively unknown factor that must be identified and reduced to the greatest extent possible. This paper is a valuable resource for future researchers who are interested in studying load sharing and related control techniques.
Molecular phylogenetic identification of Artemisia l. Species from Mongolia
Authors: Ulziibat Bolortuya , Bayaraa Unenzaya , Yungeree Oyunbileg 
Published: May 2024

The Artemisia L. genus, one of the largest genera in the Asteraceae family, consists of many medicinally important and phylogenetically unresolved species. To define the phylogenetic relationship of Artemisia species, nucleotide sequences of the nuclear ITS (Intergenic spacer DNA) region, chloroplast trnL-trnF intergenic spacer, partial sequences of plastid rbcL gene were identified from medicinally important 12 species included in 3 subgenera. The phylogenetic tree was constructed through the Neighbor-Joining and Maximum Parsimony analysis, respectively. The results of study revealed that the combination of the nucleotide sequences from the ITS and rbcL region was more efficient in determining the phylogenic relationship of species.
Manejo nutricional em sistema de hidroponia de Lactuca sativa L.
Authors: Oliveira Talys Moratti Lemos de , Franco Jhonatan da Silva , Sousa Ana Karoline Lopes de , Pires Janyne Soares Braga , Aguiar Diego Borges de , Santana Débora Correia , Carvalho Aline Roseiro , Malta Paôla da Conceição Campos , Oliveira Karla Nayane Ribeiro de , Pereira Louíza Lourranne Mendes , Nunes Natan Cantuária , Leles Wander Guilherme da Silva , Oliveira Elismar Pereira de , Silva Breno Mendes da , Souza Lorena Gracielly de Almeida 
Published: May 2024

A alface é produzida e consumida em todo o mundo, em diferentes sistemas de cultivo, sendo que a hidroponia vem ganhando cada vez mais espaço, por se tratar de um método com maiores possibilidades de produção, quanto a localização, espaço e manejo, garantindo a renda de diversos produtores rurais, já que é uma opção que se encaixa na realidade de pequenos e médios produtores, uma vez que não compete com sistemas tradicionais de produção, surgindo como alternativa na produção de alimentos com alta qualidade nutricional e microbiológica potencializando sua aceitação por parte do consumidor. Para garantir o sucesso de uma produção agrícola, é fundamental que a planta tenha uma adubação balanceada, para isso é necessário que os nutrientes sejam disponibilizados para as plantas de maneira eficiente. Diante disso, objetivou-se realizar uma revisão bibliográfica sobre o manejo nutricional no sistema de hidroponia no cultivo da alface. A solução nutritiva é uma forma eficiente de ofertar nutrientes para as plantas no sistema hidropônico, sendo necessário manter o monitoramento sobre a qualidade do mesmo, para assim garantir o sucesso da produção.
Adherence and clinical outcomes of hypertensive patients in rural areas after receiving home pharmacy care interventions
Authors: Rikmasari Yopi , Munarsih Ensiwi , Alfionita Hafiza 
Published: May 2024

Adherence is still a significant problem in the treatment of hypertension, so appropriate interventions are needed to overcome this condition. This study aims to determine the effect of home pharmacy care on medication adherence and clinical outcomes. This research is a pilot study using a quasi-experimental pre- and post-design with control in primary health care facilities in rural areas involving 40 hypertensive patients divided into two eachÂ 20 patients in the control and treatment groups. The MGLS questionnaire measured treatment adherence and clinical outcome by assessing blood pressure. Data were analyzed using descriptive statistics, bivariate tests using chi-square, Mann Whitney, paired t-test, and Wilcoxon signed ranks-test. At the beginning and end of the study there was no difference in the level of treatment adherence in the control group (p=0.701) while in the intervention group there was a significant difference (p=0.009). Systolic blood pressure in the control group (p=0.000) and the intervention group (p=0.004) showed a difference, while there was no difference in diastolic blood pressure in the two groups. In addition, there was no difference in achieving blood pressure targets between groups (p=0.522). The findings in this study are that home pharmacy services have the potential to increase medication adherence in rural areas but have not had an impact on reducing pressure and achieving targets.
Manajemen Pembiayaan Sekolah dalam Menambah Sumber Pembiayaan Pendidikan Melalui Wirausaha di Sekolah Dasar Muhammadiyah Bekonang
Authors: Nurhidayati Indah , Sulistyowati  
Published: May 2024

The purpose of this study is to know; 1) School Financing Management in increasing sources of education financing through entrepreneurship in Muhammadiyah Bekonang Elementary Schools in 2023 (2) the Results of the strategy to increase sources of education financing through entrepreneurship in Muhammadiyah Bekonang Elementary Schools in 2023. This study used a descriptive qualitative research method. The research was conducted at Muhammadiyah Bekonang Elementary School, in July-August 2023. Subject of study: Principal. Informants: (1) employees (2) committees (3) guardians (4) students. Data collection techniques use observation, interviews, and documentation. The technique of checking the validity of data uses triangulation with sources. Data analysis techniques using interactive methods include data collection, data reduction, data presentation and conclusions. The results of this study; 1) School Financing Management in increasing sources of education financing through entrepreneurship in Muhammadiyah Bekonang Elementary Schools (SD) in 2023 is carried out through: a) Planning for the empowerment of existing resources, namely traders, teachers and employees as managers of entrepreneurs under school management. b) The implementation of the strategy of increasing sources of education financing through entrepreneurship is carried out under school management where sellers are officers and catering suppliers, Teachers and employees as officers and suppliers of healthy canteens, and event organizers targeting other school teachers and the community. c) Evaluation of strategies to increase sources of education financing through entrepreneurship, namely improving communication with parents regarding the order of catering payments, controlling the nominal number of student snacks, and planning event organizers more mature and administrative.2) The results of the strategy to increase sources of education financing through entrepreneurship can increase sources of education financing, especially from catering entrepreneurs, provide healthy consumption for the school community, and improve the quality of schools.