bluuebunny/crossref_metadata_2025 huggingface dataset:
Non-destructive testing technology for intelligent identification of foreign objects in cosmetics based on BP algorithm
Authors: Xu Jing
Published: January 2023

To solve the problem that the presence of foreign matters in cosmetics will affect the safety and health of consumers and is not conducive to the development of the cosmetics industry, an intelligent identification system for foreign matters in cosmetics is established using the improved BP algorithm. Scan cosmetic samples to identify foreign matters and extract foreign matter features, so as to achieve non-destructive detection of foreign matters in cosmetics. Comparing the traditional BP algorithm, Faster R-CNN algorithm and the improved BP algorithm, the results show that the convergence time of the improved BP algorithm is 60 s and 30 s earlier than that of the traditional BP algorithm and Faster R-CNN algorithm respectively; Whether there is noise or not, the recognition rate of the improved BP algorithm is always higher than that of the traditional BP algorithm and Faster R-CNN algorithm. The accuracy rate of the improved BP algorithm is between 0.88 and 0.96, the accuracy rate of the traditional BP algorithm is between 0.57 and 0.75, and the accuracy rate of the Faster R-CNN algorithm is between 0.76 and 0.81. This shows that the improved BP algorithm can realize the nondestructive detection of foreign matters in cosmetics, ensure a high accuracy and fast speed, and provide consumers with a sense of safe use of cosmetics, it can also improve consumers’ satisfaction with the use of cosmetic products.
The application of advertising logo color design for big data and visual communication technology
Authors: Tian Huan
Published: January 2023

Color is one of the three major elements of print advertising, and different color combinations can trigger different emotional experiences of human beings. At present, the application of color in advertising in China is relatively mature, but it is limited to the traditional application method and has not been combined with big data technology. From the perspective of business needs, this research analyzes the process of visual creativity from the perspective of business value-added, and analyzes the role of big data in it. Then it introduces the semantics of common colors and how to incorporate color semantics into advertising design. And a sequence mining-based advertising click-through rate prediction model is proposed. The Criteo dataset is used as the training set. The AUC value of the model is 0.702 and the loss value is 0.415. Compared with other models, AUC values increased by 10.16%, 4.70%, 2.69% and 2.30%, respectively. Losses decreased by 10.17%, 9.19%, 6.11% and 7.57%, respectively. Finally, the online shopping data of 20 consumers was used as the test set to predict their color preferences, and the prediction accuracy was about 70%. Among them, the prediction accuracy of the group with stable shopping habits was 72.76%, and that of the group who liked to try new things was 70.60%, both meeting the expectation. Through experiments, it is concluded that the model has good performance and stability, and can more accurately judge consumers’ consumption preferences.
Neural network-based speech fuzzy enhancement algorithm for smart home interaction
Authors: Dong Yongjian , Ye Qinrong
Published: January 2023

With the rapid development of artificial intelligence and the continuous improvement of machine learning technology, speech recognition technology is also developing rapidly and the recognition accuracy is improving to meet the higher requirements of people for smart home devices, and combining smart home with voice recognition technology is an inevitable trend for future development. This study aims to propose a speech fuzzy enhancement algorithm based on neural network for smart home interactive speech recognition technology, so the study proposes a combination of fuzzy neural network algorithm (FNN) and stacked self-encoder (SAE) to form SAE-FNN algorithm, which has better non-linear characteristics and can better achieve feature learning, thus improving the performance of the whole system. The results show that with the SAE-FNN algorithm, the maximum relative error absolute value, average relative error and root mean square error are 0.355, 0.063 and 0.978, which are significantly higher than the other two individual algorithms, and the noise of the sound signal has little effect on the SAE-FNN algorithm. Therefore, it can be seen that the proposed SAE-FNN algorithm has excellent noise immunity performance. In summary, it can be seen that this neural network-based speech fuzzy enhancement algorithm for smart home interaction is extremely feasible.
Multi-scale image depth fusion method based on superpixel-level convolutional neural network
Authors: Chai Xiaojie , Wang Rongshen , Wang Junming , Zhang Riqiang
Published: January 2023

In order to improve the image quality, reduce the image noise and improve the image definition, the image depth fusion processing is realized by using the sp CNN network (Super pixel level convolution neural network, sp CNN). The improved non-local mean method is used to de-noise the image to highlight the role of the center pixel of the image block; the de-noised image is segmented by the improved CV model (Chan-Vese, CV), and the globally optimal multi-scale image segmentation result is obtained after optimization; From the perspective of regional features, the similarity measurement of image regions is carried out to realize image preprocessing. The sp-CNN network is constructed, and with the help of the idea of pyramid pooling, the average pooling is used to extract the features of each layer from the global and local levels of the convolutional features, and the training data set is generated for training, thereby realizing multi-scale image fusion. The experimental results show that the optimal value of the root mean square error index of the proposed method is 0.58. The optimal value of structural similarity index is 41.22. On the average slope index, the optimal value is 21.39. The optimal value of cross entropy index is 2.21. This shows that the proposed method has high image definition and good visual effect, which verifies the effectiveness of the method.
An analysis of the synergistic poverty reduction effectiveness of fiscal spending and digital inclusive finance from the standpoint of relative poverty was conducted
Authors: Jing Zhihong , Li Yunyun
Published: January 2023

This paper conducts an empirical investigation into the synergistic effects of fiscal spending and digital inclusive finance on poverty reduction. These two elements are noted as crucial linkages in the struggle against poverty. This paper employs the DEA-Malmquist index model and Tobit model analysis to assess the effectiveness of fiscal expenditure and digital inclusive finance synergy under relative poverty and the influencing factors in the central and western provinces of China using provincial panel data from 2014 to 2020. The study found that: first, the integrated effectiveness of fiscal spending and digital financial inclusion to reduce poverty is firstly higher than it is for fiscal spending alone; second, additional fiscal spending and technology for digital financial inclusion should be allocated to the central and western areas in particular; and third, for poverty reduction in central and western China, the level of financial development, financial payment capability, and industrial structure are the most crucial factors. The following recommendations are made based on the findings of the aforementioned research: overcoming the geographical restrictions; we will improve the transfer payment system’s top-level architecture for places with extreme poverty; the design of transfer payments to communities with extreme poverty will be improved; increasing access to digital financial services; we’ll boost technical and scientific innovation in underdeveloped areas; compensate for the lack of knowledge in underdeveloped areas; we will advance digital financial inclusion’s science, technology, and accuracy to lessen poverty; the combination of fiscal and financial policies should be put into practice in accordance with the level of poverty and the state of poverty in the places that are affected by it.
Water outlet temperature prediction method of nuclear power plant based on echo state network with variable memory length
Authors: Yu Dongmin , Duan Chuanxu , Fan Siyuan
Published: January 2023

As a new type of energy which is developing vigorously in China, nuclear energy has been widely concerned in all aspects. The circulating water system in the nuclear power plant takes water from seawater, cools the steam engine through the condenser, and then carries waste heat from the outlet to the sea. If the temperature of the outlet is too high, it will not only cause the temperature rise near the water surface of the atmosphere and the ground layer near the shore, but also affect the ecological environment inside the ocean. In this paper, a model based on the echo state network with variable memory length (VML-ESN) is proposed to predict outlet temperature of the nuclear power plant. It can get memory according to the different input autocorrelation characteristic length to adjust the status update equation. The simulation results show that compared with ESN, Leaky-ESN, and Twi-ESN, the proposed model has better prediction performance, with a MAPE of 3.42%. In addition, when the reservoir size is 40, the error of VML-ESN is smaller than that of other models.
Fuzzy optimisation for business analytics: A bibliometric analysis
Authors: Cisneros Luis , Rivera Gilberto , Florencia Rogelio , Sánchez-Solís J. Patricia
Published: January 2023

Business analytics refers to the application of sophisticated tools to obtain valuable information from a large dataset that is generated by a company. Among these tools, fuzzy optimisation stands out because it helps decision-makers to solve optimisation problems considering the uncertainty that commonly occurs in application domains. This paper presents a bibliometric analysis following the PRISMA statement on the Dimensions database to obtain publications related to fuzzy optimisation applied to business domains. The purpose of this analysis is to gather useful information that can help researchers in this area. A total of 2,983 publications were analysed using VOSviewer to identify the trend in the number of publications per year, relationships in terms in both the title and abstract of these publications, most influential publications, and relationships among journals, authors, and institutions.
Weight-imposed Elite Hybrid Binary Cuckoo Search (EHBCS)-based clustering for improving network lifetime longevity
Authors: Jeba Emilyn J. , Ashokkumar M.
Published: January 2023

In Wireless Sensor Networks (WSNs), Clustering aids in maximizing the lifetime of the network with sustained energy stability in the sensor nodes during data dissemination. In this clustering process, the sensor nodes are organized into clusters with the potential fitness node designated as Cluster Heads (CHs) for collecting and forwarding the data to the sink. In specific, the energy consumption of sensor nodes during their role as CH is maximized with great impact over the network lifespan. In this paper, a Weight-imposed Elite Hybrid Binary Cuckoo Search (EHBCS)-based Clustering Mechanism is proposed for facilitating potent data transmission with minimized energy consumption and improved network lifetime. This EHBCS is proposed as a novel energy-sensitive CH selection framework based on the process of hierarchical routing through the inclusion of hybrid optimization algorithm. It selected CH depending on the parameters of Quality of Service (QoS), delay, distance, and energy into account. It integrated the merits of Binary Cuckoo Search and Elite Mechanism for selecting CHs and performing effective processes by preventing sinkhole issues in WSNs. The results of EHBCS confirmed better throughout by 11.32%, minimized energy consumption by 13.84%, and minimized delay by 16.12% with an increasing number of sensor nodes, compared to the baseline CH selection approaches used for exploration.
Comprehensive evaluation of urban talent development environment based on entropy weight-topsis method
Authors: Gao Bin , Zhang Naiwen
Published: January 2023

For urban, the quantity and quality of talent is often an important measure of their development potential. Based on the theory of talent and environment comfort degree and the theory of urban comfort degree, this paper constructs the Evaluation Index System of urban talent development environment. This paper selects 7 coastal urban in Shandong province as the research objects, and uses entropy Weight-TOPSIS and cluster analysis to measure the talent development environment. The research results show that: (1) The talent development environment of seven coastal urban presents the phenomenon of “siphoning” and “distinctness” of talents. On the whole, Qingdao, Weifang, and Yantai have certain advantages in the talent development environment. (2) Qingdao is the leading city, Weifang, Yantai, Weihai and Dongying are follow-up urban, and Binzhou and Rizhao are backward urban. (3) The environment of the eight first-level indicators forms a “magnetic field” for the development of talents. Only by fully releasing the “magnetic field effect” of the talent development environment can urban ensure that talents are “attracted, retained and used well". This paper puts forward some suggestions to optimize the talent de-velopment environment in coastal urban, which will help to stimulate the vitality and creativity of all kinds of talents in coastal urban.
Enhanced tolerance-based intuitionistic fuzzy rough set theory feature selection and ResNet-18 feature extraction model for arrhythmia classification
Authors: Rajeshwari M.R. , Kavitha K.S.
Published: January 2023

Arrhythmia classification on Electrocardiogram (ECG) signals is an important process for the diagnosis of cardiac disease and arrhythmia disease. The existing researches in arrhythmia classification have limitations of imbalance data problem and overfitting in classification. This research applies Fuzzy C-Means (FCM) – Enhanced Tolerance-based Intuitionistic Fuzzy Rough Set Theory (ETIFRST) for feature selection in arrhythmia classification. The selected features from FCM-ETIFRST were applied to the Multi-class Support Vector Machine (MSVM) for arrhythmia classification. The ResNet18 – Convolution Neural Network (CNN) was applied for feature extraction in input signal to overcome imbalance data problem. Conventional feature extraction along with CNN features are applied for FCM-ETIFRST feature selection process. The FCM-ETIFRST method in arrhythmia classification is evaluated on MIT-BIH and CPCS 2018 dataset. The FCM-ETIFRST has 98.95% accuracy and Focal loss-CNN has 98.66% accuracy on MIT-BIH dataset. The FCM-ETIFRST method has 98.45% accuracy and Explainable Deep learning Model (XDM) method have 93.6% accuracy on CPCS 2018 dataset.
Secure digital documents sharing using blockchain and attribute-based cryptosystem
Authors: Verma Garima , Kanrar Soumen
Published: January 2023

Education is developing very fast with the advancement of technology and the process of the smart era. One can store all educational certificates and credentials in the form of an electronic wallet or a folder. By using this electronic transformation of certificates, users can transfer the certificates from one place to another very easily. The “data island” phenomenon, central data storing, confidentiality, reduced security, and integrity are common problems of electronic data transfer. This study presents a safe sharing of digital documents which uses blockchain technology and an attributed-based cryptosystem to offer a creative solution to the abovementioned issues. The proposed scheme uses Ethereum smart contracts and achieves fine-grain access control by using attribute-based encryption. Finally, we verified our model using the test network and compared the performance with some existing state-of-arts. The results of proposed scheme generated by simulations are more feasible and effective in challenging environments.
To be or not to be stressed: Designing autonomy to reduce stress at work
Authors: Zeuge Anna , Lemmer Kristina , Klesel Michael , Kordyaka Bastian , Jahn Katharina , Niehaves Bjoern
Published: January 2023

BACKGROUND: Many organizations are undertaking efforts to reduce the stress of (oftentimes overworked) employees. Information Technology (IT) (e.g., smartphones) has the potential to be a key instrument for reducing stress. One design-relevant factor considered to reduce stress is the concept of autonomy. Unfortunately, little research exists using autonomy as a characteristic of technology design. OBJECTIVE: Against this background, this study aimed to investigate specific autonomy-related design options with the potential to prevent stress. METHODS: In a factorial survey, this experimental study tested three design options in an overwork scenario: 1) autonomy (no intervention by design), 2) nudge (“nudging” by design), and 3) enforcement (hard stop by design). 51 participants (mean age 38 years, 50% women, mean work experience 18 years) from the Netherlands, United Kingdom, United States of America, and Germany participated in the experiment for 330 seconds on average. To test our hypothesis, we used a two-step approach. First, a multiple linear regression was applied. Second, we carried out a one-way ANCOVA comparing the effects of our design options. RESULTS: Our results indicate that autonomy can be manipulated through technology design and is negatively correlated with stress. Additionally, the design options autonomy and nudge were associated with lower levels of perceived stress than was enforcement. CONCLUSION: The study proposes a careful use of IT and policies that limit the perceived autonomy of employees. Overall, this study offers a set of design recommendations arguing that organizations should implement technology that helps employees prevent overwork and maintain their autonomy.
Evaluate the lifestyle of students of Dietetics at the Medical University of. K. Marcinkowski in Poznan
Authors: Marciniak Martyna , Swora-Cwynar Ewelina , Hoffman-Borkowska Marta , Dobrowolska Agnieszka
Published: January 2023

Cel badań: Celem badania była ocena stylu życia studentów kierunku Dietetyka Uniwersytetu Medycznego im. Karola Marcinkowskiego w Poznaniu.

Materiał i metody: Anonimowe badania przeprowadzono w grupie 100 studentów kierunku Dietetyka Uniwersytetu Medycznego im. Karola Marcinkowskiego w Poznaniu metodą sondażu diagnostycznego, wykorzystując autorski kwestionariusz ankiety. Pytania dotyczyły zasad prawidłowego odżywiania, suplementacji i zdrowego stylu życia oraz ich zastosowania w życiu codziennym.

Wyniki: Wyniki badań własnych wskazują, iż studenci Dietetyki Uniwersytetu Medycznego im. Karola Marcinkowskiego w Poznaniu w większości posiadają średni poziom wiedzy w zakresie istotnych czynników ryzyka związanych ze stylem życia, sprzyjających rozwojowi ryzyka chorób układu krążenia. 76% ankietowanych miało BMI w zakresie prawidłowej masy ciała. Respondenci preferują prozdrowotne aspekty zachowań w zakresie niepalenia papierosów, utrzymywania prawidłowej masy ciała (ok. 80% badanych w każdym zakresie) oraz utrzymywania średniego i wysokiego poziomu aktywności ruchowej (ponad 90% badanych). W przypadku wysiłku fizycznego respondenci preferują spacery, ćwiczenie na siłowni oraz bieganie, jako element prozdrowotnego stylu życia. W grupie badanej 81% samodzielnie przygotowuje posiłki. Podstawę diety ankietowanych stanowią produkty zbożowe z pełnego przemiału. Studenci dietetyki często sięgają również po chude mięso i ryby, warzywa i owoce, a także nabiał. jaja oraz mleko. Studenci Dietetyki UMP spożywają takie słodycze (41% – sporadycznie zjada kilka kostek czekolady lub ciastek, natomiast 34% codziennie spożywa przynajmniej batona lub pół czekolady) Respondenci zwracają uwagę na odpowiednią podaż płynów w ciągu dnia – 44% badanych spożywa około 2 litry płynów dziennie.

Wnioski: W grupie badanych stwierdzono prozdrowotne aspekty zachowań w zakresie niepalenia papierosów, utrzymywania prawidłowej masy ciała i optymalnego poziomu aktywności ruchowej oraz przejawy antyzdrowotnego postępowania dotyczącego żywienia (głównie spożywanie słodyczy w dużych ilościach oraz jedzenie produktów typu fast food).
Two-dimensional Inversion of DC Resistivity Data on Unstructured Grids Using Fuzzy C-means Clustering Model Constraint
Authors: Xu Kaidi , Li Man , Zhang Zhiyong , Yi Ke , Zhou Feng
Published: January 2023

Direct current resistivity prospecting is a commonly geophysical method for environmental and engineering applications. In this paper, we propose a fuzzy C-means clustering model constrained inversion algorithm for two-dimensional DC resistivity. To fit arbitrary geological structure and surface of the earth, our inversion algorithm is developed based on unstructured model mesh. To be consistent with the geological structure, the fuzzy C-means clustering model constraint is added to the inversion cost function with the minimum structure model constraint, and the Gauss-Newton optimization method is used to seek solutions of the nonlinear inverse problem. Finally, we verify the performance of our algorithm by synthetic and field data sets. The results show that the resistivity and boundary can be better restored when the correct number and value of priori cluster centers were set. By testing the field data, the inversion algorithm can obtain obvious abnormal boundaries.
Relación entre estilos de aprendizaje y estrategias volitivas en estudiantes universitarios de lenguas extranjeras
Authors: Rodríguez-Guardado María del Socorro , Juárez-Díaz Catalina
Published: January 2023

Los estudiantes del nivel superior enfrentan retos para adaptarse a nuevos ambientes de aprendizaje, lo que lleva al despliegue de estrategias cognitivas y también de tipo motivacional, afectivas y emocionales. El objetivo de este estudio es analizar la relación entre los estilos de aprendizaje y el uso de las estrategias volitivas en estudiantes universitarios mexicanos de lenguas extranjeras. Se empleó un método cuantitativo de diseño descriptivo correlacional de alcance transversal. Se utilizaron el cuestionario Honey-Alonso de Estilos de Aprendizaje (CHAEA) y el Inventario de Estrategias Volitivas Académicas (IEVA). Los resultados mostraron que hay predominancia del estilo reflexivo y un mayor uso de la estrategia de autoeficacia, además de una variación con el semestre que cursan. Estos hallazgos pueden dar la pauta para que en el aula se consideren aspectos que permitan a los estudiantes persistir ante dificultades latentes en sus contextos escolares y logros académicos.
El vocabulario y la generación de inferencias en la comprensión de narraciones en niños preescolares
Authors: Barreyro Juan Pablo , Fumagalli Julieta , Alvarez-Drexler Andrea , Calero Alejandra , Formoso Jesica
Published: January 2023

El propósito del presente trabajo consistió en estudiar el papel de la generación de inferencias y del conocimiento del vocabulario (vinculado a la dimensión de profundidad) en la comprensión literal de narraciones en niños preescolares de tres a seis años. Con este propósito se administró una prueba de vocabulario, se narraron tres cuentos a los niños, y se evaluó la generación de inferencias y la comprensión literal de las narraciones. Los resultados indicaron relaciones significativas entre el vocabulario, la generación de inferencias y la comprensión de las narraciones. Al llevar a cabo un análisis de regresión se observó un efecto de interacción entre el vocabulario y la generación de inferencias. Al analizar dicha interacción se observó que los niños con menor vocabulario dependían de sus habilidades de generación de inferencias para poder comprender, y que los niños con menor capacidad para generar inferencias dependían del conocimiento del vocabulario para lograr comprender la narración.
Equidad con calidad en la Educación Superior
Authors: Achoy Sánchez José Mario , Jiménez Segura Flor
Published: January 2023

El artículo corresponde al resultado de la investigación llevada a cabo desde el Nodo de la Universidad de Costa Rica para el Observatorio Regional de la Equidad con Calidad en la Educación Superior de América Latina. Este aporte científico es un estudio cuyo objetivo fue revisar el estado de las dimensiones transversales e integrales que garantizan la equidad con calidad en el caso de la Universidad de Costa Rica. El estudio se aplicó a los estratos docentes, estudiantiles y administrativos por medio de un instrumento con variables y permitió identificar áreas en las cuales existen valiosas oportunidades de mejora para la Universidad de Costa Rica. A su vez, por tratarse del primer estudio de este tipo en la institución, los insumos resultaron ser de importancia para el levantamiento de información académica que contribuya a potenciar equidad con calidad en la educación superior estatal.
Telemedicina em Cuidados Paliativos Oncológicos: um Legado da Pandemia
Authors: Pinto Cristhiane da Silva , Borsatto Alessandra Zanei , Vaz Danielle Copello , Sampaio Simone Garruth dos Santos Machado , Oliveira Livia Costa de
Published: January 2023

Introdução: A telemedicina pode ser um instrumento útil para o acompanhamento de pacientes em cuidados paliativos, especialmente no contexto da pandemia por covid-19. Objetivo: Descrever o uso da telemedicina para pacientes em cuidados paliativos oncológicos acompanhados ambulatorialmente em uma unidade de referência nacional. Método: Análise retrospectiva de teleatendimentos médicos realizados entre abril de 2020 e fevereiro de 2021 a pacientes da unidade acompanhados ambulatorialmente. Foram analisados dados demográficos e clínicos dos pacientes, características do teleatendimento e conduta médica, e feita uma avaliação subjetiva com os profissionais responsáveis pelos teleatendimentos. Resultados: Foram realizados 1.645 teleatendimentos médicos a 470 pacientes com idade média de 62 (54-73) anos, sendo a maioria do sexo feminino (n=258; 54,9%) e com Karnofsky Performance Status estimado em 40% ou superior (n=423; 90,0%) no momento do primeiro contato a distância. Os teleatendimentos foram realizados, em sua maior parte (n=928; 56,4%), para o monitoramento da carga de sintomas entre as consultas presenciais. Destes, em 612 (frequência relativa=65,9%), houve sintoma controlado no teleatendimento subsequente. A queixa mais prevalente foi dor (n=303; frequência relativa=32,7%) seguida por sintomas gripais (n=108; frequência relativa=11,6%). Entre as condutas traçadas, a mais prevalente (n=921; 56,0%) foi o comparecimento apenas do responsável pela retirada dos medicamentos, sem necessidade de deslocamento do paciente. Conclusão: A telemedicina mostrou-se útil na monitorização de sintomas de pacientes com câncer avançado e permitiu que pacientes e cuidadores se mantivessem em seus domicílios, reduzindo o deslocamento e, consequentemente, o risco de contágio por covid-19.
Perbandingan Aplikasi Redo Dan Acronis Sebagai Cloning Harddisk Menggunakan Jaringan Komputer
Authors: Kurniawati Nina , Wiyatno Guntara Hafri , Widiastoko Saguh , Surury Ahmad Agus
Published: January 2023

Kloning merupakan proses dimana isi harddisk berpindah ke harddisk yang lain. Proses ini dapat memudahkan pengguna agar tidak melakukan instalasi sistem operasi dan instalasi aplikasi mulai dari awal.  Kloning harddisk melalui jaringan ini dilakukan dengan cara memindahkan harddisk master (sumber harddisk) ke harddisk slave (tujuan harddisk). Dalam proses kloning dengan jaringan, harddisk utama dan haddisk kedua yang akan di kloning tetap berada pada komputer masing-masing tanpa memindahkan harddisk kedua ke harddisk utama menjadi paralel. Program aplikasi yang digunakan dalam proses kloning harddisk melalui jaringan ini ada banyak antara lain yang akan dibahas yaitu Redo Rescue dan Acronis True Image. Kedua aplikasi ini sangat mirip, yang menjadikan pembeda hanya berada pada tampilan dan segi kemudahan saat penggunaan.
Pengembangan Media Pembelajaran tentang Tumbuhan Monokotil dan Dikotil Menggunakan Augmented Reality
Authors: Palandi Jozua F , Rachman Taufik , Fahmi Fazar Arizal
Published: January 2023

Perkembangan teknologi dalam pembelajaran saat ini berkembang sangat pesat dan telah menjadi salah satu kebutuhan dasar setiap orang. Media pembelajaran merupakan perangkat yang digunakan untuk menyalurkan pesan dari pengirim kepada penerima yang akan menstimulir pemikiran, perasaan, perhatian, dan minat pembelajaran sehingga terjadi proses pembelajaran. Penggunaan Augmented Reality (AR) adalah dengan memasukkan objek virtual 3D ke dalam lingkungan nyata secara real-time, dalam konteks ini adalah lapisan tumbuhan dikotil dan monokotil  sehingga  tampilannya menjadi lebih nyata dan menarik. Dengan demikian, media pembelajaran semacam ini akan memberikan kebebasan bagi siswa dalam melakukan proses penemuan dengan cara mereka sendiri. Pengembangan aplikasi ini menggunakan metode waterfall dalam arti pengerjaan sistemnya dilakukan secara berurutan agar terhindar dari pengulangan tahapan. Aplikasi ini berjalan pada platform mobile android. Sebelum membuat objek 3D maka sebelumnya perlu mendaftarkan marker ke Vuforia agar 3D bisa tracking kemudian tampil, kemudian setelah terdaftar di Vuforia dan sudah membuat objek 3D di Blender maka objek 3D akan tampil di atas marker. Dengan adanya aplikasi ini diharapkan akan meningkatkan minat pelajar kelas 4 SD dalam mempelajari materi tentang tumbuhan dikotil dan monokotil.
Community Colleges and Global Environments: Increasing Visibility
Authors: Raby Rosalind Latiner
Published: January 2023

This article provides critical commentary on the invisibilization of the over 150 institutions that exist within in the Community College and Global Equivalent sector. The inconsistency in how the sector is publicly portrayed leads to a constant need for justification of the sector’s existence, worth, and impact that it makes to the field of higher education.
Putin’s War: Supporting International Students During Global Crises
Authors: Arif Abu , Hennessey Juanita , Knutson Sonja , Walsh Lynn
Published: January 2023

At a moment when the members of education communities around the world are working to find a way to live with COVID-19, internationalization of higher education (IHE) communities have also been challenged by Russian President Vladimir Putin’s decision to wage a war against Ukraine. When it is expected from international educators to reimagine international education in a way that is equitable and inclusive (de Wit & Jones, 2018), anti-racist (Buckner et al. 2021), anti-colonial (Beck & Pidgeon, 2020), and sustainable (Shields, 2019), Mr. Putin’s war is unnecessarily taking IHE communities away from these critical conversations. This situation forces international educators to think about a) what will be the world order due to this invasion, and b) how IHE communities will adjust to the new global political realities? In Canada, we are also thinking about how we best show up for international students from Ukraine and Russia, and what are the ways we can support refugees who are being deprived of a post-secondary education due to Putin’s invasion.
Reflecting on Critical Considerations for Research with International Students as a Subfield
Authors: Mittelmeier Jenna , Lomer Sylvie , Unkule Kalyani
Published: January 2023

Our upcoming edited volume Research with International Students: Critical Conceptual and Methodological Considerations (published by Routledge in 2023) aims to provide comprehensive methodological guidance for researchers who include international students as participants. Our interest in developing this book stems from recognition within the Critical Internationalisation Studies Network that research with international students is a disparate subfield that operates under several problematic assumptions, which we highlight below. The book includes 27 chapters from global authors, many of whom are active within this network. In this blog, we wish to delineate why we believe this book is necessary and encourage ongoing discussion about how research on this topic can be made more ethical, critical, and equitable.
Pengembangan Model Pembelajaran Aktifitas Fisik Berbasis Budaya Lokal Daerah Rawan Banjir
Authors: Indah Eka Purnama , Anggara Norma , Pratiwi Endang
Published: January 2023

Penelitian ini merumuskan masalah yang dihadapi saat di lapangan oleh guru pendidikan jasmani, guru membutuhkan pemecahan masalah pada proses pembelajaran serta memerlukan desain model pembelajaran tepat agar peserta didik dapat mengikuti pembelajaran serta aktifitas fisik dengan kearifan lokal yang terdapat di daerah tersebut. Tujuan penelitian pengembangan model pembelajaran aktivitas fisik berbasis budaya local daerah rawan banjir kabupaten Banjar  untuk membantu guru pendidikan jasmani dalam menambah pengetahuan tentang desain pembelajaran yang berkaitan aktifivas fisik dengan kearifan lokal. Sekolah juga bisa memberikan solusi dalam melakukan aktivitas fisik peserta didik dapat menggunakan desain model pembelajaran hasil penelitian ini nanti. Menambah wawasan baik guru, pihak sekolah maupun peneliti tentang desain pembelajaran di daerah rawan banjir di Kabupaten Banjar. Hasil pengembangan model pembelajaran aktifvitas fisik dengan kearifan lokal pada peserta didik sekolah dasar ini ditulis dalam bentuk hasil penelitian yang dimodifikasi serta diaplikasikan dalam bentuk-bentuk permainan.  Nilai keaktifan peserta didik yang sudah dianalisis melalui uji coba peserta didik di SMPN 4 Banjarbaru yang memperoleh skor ≥ 80 (sangat baik) sebanyak 17 orang peserta didik dan nilai 60-79 (baik) sebanyak 13 orang peserta didik, dan seluruhnya dinyatakan cocok untuk digunakan pada lingkup geografis serta karakter peserta didik. Dengan demikian dapat disimpulkan bahwa materi pengembangan pembelajaran aktivitas fisik dengan kearifan lokal pada peserta didik SMPN 2 Martapura Timur telah tercapai pelaksanaannya. Persentase yang diperoleh dari analsis data sebesar 87%. Hal tersebut menandakan bahwa peningkatan keaktifan fisik peserta didik melalui kearifan lokal sangatlah memiliki peran yang sangat besar.
Small Foci of Metastases in the Axillary Lymph Node in Patients With Breast Cancer Can Be Removed by Core Needle Biopsy
Authors: Rona Günay , Arifoğlu Meral , Çoban Kökten Şermin , Memişoğlu Ecem
Published: January 2023

Not applicable.
B3 Lesions of Breast: Two Year Retrospective Analysis of 4478 Cases Carried out in a Single Centre in the UK
Authors: Nisa Zaibun , Bajaj Sheena
Published: January 2023

Background: B3 category mainly consists of lesions that provide benign histology on core biopsy, but either are known to show heterogeneity or have increased risk of associated malignancy. However, the level of risk is very different for different entities. All the cases should be looked for atypia.
The objective of this study is to compare various B3 lesions in two audits, to calculate the median rate and upgrade rates (the rate at which they turn into malignancy on subsequent excision) for different B3 lesions and to compare them with the national standards and published literature. The study aims to see whether vacuum assisted excision or surgical excision has been done in such lesions.
Methods: This is a retrospective study and encompasses two audits done in 2017-18 and 2020-21 at Queen's hospital, Barking, Havering and Redbridge NHS trust. A total of 4478 cases were reviewed and 206 cases were graded as B3 on core biopsy.
Results: Overall, 113 cases were graded as B3 in 2020-21 and 93 cases in 2017-18 giving the median rate of 5% and the overall upgrade rate of 12%. Intraductal papilloma was the most commonly seen lesion in both audits. Also, 31 cases underwent vacuum assisted excision and 62 cases underwent surgical excision, with 38 cases not undergoing further excision.
Conclusion: The median rate was within the 'preferred median rate'- 4.5-8.5% and the upgrade rate was comparable (16.57%) with those of National Breast Cancer screening audit, 2016-2019. The type of excision for various lesions was in line with the criteria stated by the Royal College of Pathologists. The lesions which were not excised did not turn into malignancy on follow-up.
SUBSTITUTION OF COMMERCIAL FEED WITH MORINGA LEAF MEAL TO IMPROVE THE PERFORMANCE OF MALE RABBIT
Authors: Suarni N.M.R. , Ermayanti N.G.A.M. , Wirasiti N.N.
Published: January 2023

The aims of this study were to find out  the effects of  moringa leaf meal substitution in commercial feed on the performance of male rabbits (bucks). Twenty four four months old male rabbits with an average live weight of   1200g were used in this study. There were four treatments in this study including 0% (K0) as control and 15% (K1), 30% (K2), 45% (K3) substitution of moringa leaf meal in  commercial feed and  each treatment consisted of six replicates. The treatments were carried out for two months. The variables measured were including  body weight, feed consumption, feed conversion. The results showed that there were significant differences (P <0.05) performance between all treatments (K1, K2, K3) and the control (K0). Substitution of moringa leaf meal up to 45% in commercial feed  increase performance of male rabbit. It was concluded that the moringa leaf meal might be substituted in commercial  feed up to 45 % to improve the performance of male rabbits (bucks). To get maximum performance of male rabbit rabbits it should be better substituted the commercial feed  with moringa leaf meal is 35%.
PEMERIKSAAN HEMATOLOGI RUTIN SEBAGAI DETEKSI DINI KESEHATAN IBU HAMIL
Authors: Arishanti W. Luh Putu , Arsana I Nyoman
Published: January 2023

Hematologi rutin merupakan salah satu pemeriksaan laboratorium pada kehamilan untuk mendeteksi secara dini Kesehatan ibu hamil. Penelitian ini bertujuan untuk menganalisis nilai hematologi rutin sebagai deteksi dini kesehatan ibu hamil.  Penelitian menggunakan rancangan cross sectional. Sebanyak 56 orang ibu hamil digunakan sebagai sampel. Sampel darah diambil dari vena cubiti selanjutnya dianalisis menggunakan Hematology Analyzer Sysmex-X-100. Parameter yang diukur meliputi WBC (white blood cell), RBC (Red Blood Cell), HGB (Hemoglobin), HCT (Hematokrit), PLT (Platelet), Lymposit, dan Neutropil. Data yang diperoleh dianalisis secara deskriptif.  Hasil penelitian menemukan bahwa sebagian besar ibu hamil memiliki nilai WBC katagori tinggi, RBC bernilai normal, HGB bernilai normal, HCT bernilai normal, PLT bernilai normal, LYM bernilai normal, dan NEUT bernilai tinggi. Kesimpulan, ibu hamil menunjukkan leukositosis dan neutrofilia.
PERTUMBUHAN BAKTERI Salmonella thypi DAPAT DIHAMBAT DENGAN AIR REBUSAN DAUN KEMANGI (Ocimum basilicum L.) TETAPI TIDAK DENGAN AIR PERASANNYA.
Authors: Alit Wardana Putu , Arsana I Nyoman , Sudaryati Ni Luh Gede
Published: January 2023

Kemangi (Ocimum basilicum L) telah dimanfaatkan sebagai bahan obat untuk mengatasi berbagai penyakit.  Penelitian ini bertujuan untuk mengetahui daya hambat air rebusan dan perasan daun kemangi terhadap pertumbuhan bakteri Salmonella thypi. Penelitian menggunakan rancangan acak kelompok dengan 12 kelompok perlakuan yaitu perasan daun kemangi konsentrasi 20%, 40%, 60%, 80%, 100%, dan rebusan daun kemangi dengan konsentrasi 20%, 40%, 60%, 80%, 100%, ditambah dengan satu kontrol positif (chloramphenicol) dan satu kontrol negatif (aquades). Rebusan daun kemangi disiapkan dengan merebus 50g daun pada suhu 90oC selama 15 menit kemudian disaring, sedangkan perasan disiapkan dengan menghancurkan 50g daun dan airnya disaring. Daya hambat ditentukan dengan medote cakram disk pada media Muller-Hilton Agar yang telah diinokulasi S. thypi. Hasil penelitian menunjukkan rebusan daun kemangi pada konsentrasi 20%, 40%, 60%, 80%, 100%, memiliki zona hambat terhadap pertumbuhan bakteri S. thypi, berturut-turut sebasar 0 mm, 8.67± 0.881 mm, 11.67±0.333 mm, 12±0.577 mm, dan 13.33±0.333 mm, sedangkan air perasan tidak memiliki zona hambat. Kesimpulan, pertumbuhan bakteri S. thypi dapat dihambat dengan rebusan daun kemangi tetapi tidak dengan air perasan.
INFEKSI SALURAN KEMIH PADA PASIEN DIABETES MELITUS
Authors: Triyani Ni Nyoman , Arsana I Nyoman , Sudaryati Ni uh Gede
Published: January 2023

Diabetes melitus menimbulkan berbagai komplikasi lain seperti Infeksi Saluran Kemih. Penelitian ini bertujuan untuk mengkaji infeksi saluran kemih pada penderita diabetes mellitus. Penelitian menggunakan metode cross-sectional. Sebanyak 43 orang pasien terlibat dalam penelitian ini. Sampel urine pasien diperiksa secara mikroskopis, hasil positif mikroskopis kemudian dilanjutkan dengan metode kultur agar. Hasil penelitian menunjukkan sebanyak 11 orang dinyatakan positif infeksi saluran kemih. Pasien dengan hasil positif sebagian besar berjenis kelamin perempuan, terjadi pada usia diatas 60 tahun, serta lebih banyak terjadi pada penderita dengan diabetes lebih dari 10 tahun. Kesimpulan, perempuan dengan diabetes melitus lebih rentan terkena infeksi saluran kemih dibandingkan dengan laki-laki. Usia, lama menderita diabetes, dan Indeks Massa Tubuh juga menunjukkan ada keterkaitan erat dengan Infeksi Saluran Kemih.
PENGOLAHAN LIMBAH CAIR DOMESTIK DAN PERHOTELAN DENGAN MEMANFAATKAN EFECTIVE MICROORGANISM (EM)
Authors: Suardana A.  A. Komang , Wahyudi I Wayan , Yusika Ryanita Pande Kadek
Published: January 2023

Penggunaan mikroorganisme efektif telah lama dikembangkan di Jepang oleh Prof. Teruo Higa pada tahun 1980-an. Teknologi ini kemudian diadopsi oleh salah satu pengusaha di Bali yaitu Ngurah Wididana untuk menciptakan berbagai produk dengan memanfaatkan mikroorganisme atau disebut Teknologi EM (Efective Microorganism). Limbah cair yang berasal dari sumber domestik hampir seluruhnya tidak dilakukan pengolahan sebelum dibuang ke lingkungan. Limbah dari usaha perhotelan yang kandungannya mirip dengan limbah domestik, sebagian besar hanya diolah dengan metode pengendapan dan aerasi. EM-4 merupakan bioteknologi dengan memanfaatkan mikroorganisme-mikroorganisme efektif yang terdiri campuran bakteri fotosintetik, bakteri asam laktat, mollase, ragi dan bakteri fermentasi. Penggunaan EM-4 perlu diaktivasi terlebih dahulu selama 7 hari sebelum digunakan untuk pengolahan limbah cair dengan penambahan langsung atau metode mud balls. EM-4 aktif memiliki keunggulan ekonomis, praktis, murah, dan multiguna. Sedangkan kelemahan EM-4 untuk limbah cair domestik dan perhotelan adalah waktu tunggu aktivasi yang lama dan bahan yang terdegradasi hanya bahan organik.
PERILAKU SEKSUAL REMAJA DI KELURAHAN TAROK DIPO KECAMATAN GUGUAK PANJANG KOTA BUKITTINGGI
Authors: Rahmadani Suci , Yarni Linda
Published: January 2023

Tujuan dari penelitian ni adalah untuk melihat jenis perilaku seksual remaja yang berumur 14-17 tahun di Kelurahan Tarok Dipo Kecamatan Guguk Panjang Kota Bukittinggi. Jenis penelitian yang dilakukan adalah penelitian kuantitatif yang bersifat deskriptif dengan menggambarkan, memaparkan dan menafsirkan kejadian-kejadian sesuai dengan fakta yang diperoleh yang hasilnya berupa angka-angka. Populasi remaja yang berumur 14-17 tahun di Kelurahan Tarok Dipo Kecamatan Guguk Panjang Kota Bukittinggi dalam penelitian ni adalah 624 orang, sampel yang diambil adalah sebanyak 10% dari jumlah remajamenggunakan teknik acak/randomyaitu sebanyak 62 orang. Data dikumpulkan menggunakan nstrumen angket dengan jenis Angket tertutup dan Teknik analisis data menggunakan Miscrosoft exeldan SPSS 25.0 for Windows.Hasil penelitian jenis Perilaku Seksual Remaja yang berumur 14-17 tahun Di Kelurahan Tarok Dipo Kecamatan Guguk Panjang Kota Bukittinggi terdiri atas 2 aspek yaitu aspek perilaku seksual autoerotik dan sosioseksual. Berdasarkan hasil penelitian maka didapatkan data jenis perilaku seksual yang pernah dilakukan remaja yaitu pada aspek autoerotik  dengan ndikator berfantasi seksual 46%, dan ndikator mansturbasi/ onani terdapat 26,6%. Sedangkan pada aspek sosioseksual, ndikator bersentuhan/ kontak fisik dengan lawan jenis terdapat 69,4%, ndikator berpelukan terdapat sebanyak 41,4%, ndikator mencium kepala/ wajah lawan jenis terdapat 33,5%, ndikator berciuman bibir terdapat 17,7%, ndikator meraba anggota tubuh terdapat 14,1%, ndikator menempelkan kelamin terdapat 8,9% dan ndikator melakukan hubungan seksual 8,1%. Frekuensi persentase perilaku seksual yang paling banyak di lakukan oleh remaja yaitu pada perilaku bersentuhan/ kontak fisik dengan lawan jenis yaitu dengan persentase 69,4%
HUBUNGAN PENGGUNAAN SARANA DAN PRASARANA DENGAN KEEFEKTIFAN KONSELING INDIVIDU DI SMK HARAPAN BANGSA KABUPATEN PASAMAN
Authors: Nuraisyah Nuraisyah , Santosa Budi
Published: January 2023

Latar belakang penelitina ini dikarenakan ruang BK di sekolah hanya berukuran 4m x 5m,yang mana ruang BK di dalam sekolah masih belum memadai karena belum terpenuhinya fasilitas yang dapat digunakan untuk melakukan proses konseling yang efektif seperti ruangan konseling individual, ruang konseling kelompok dan ruang konsultasi dengan orang tua siswa, dan sekolah belum menyediakan ruangan yang layak untuk melakukan konseling bagi para siswa yang ingin berkreativitas dalam kegiatan konseling seperti PIK-R. Jenis penelitian yang dilakukan adalah penelitian kuantitatif jenis korelasional melakukan penelitian lapangan (field research), yaitu mengumpulkan data langsung dari lapangan atau lokasi penelitian.Penelitian korelasional yaitu penelitian yang dimaksudkan untuk mengetahui ada tidaknya hubungan antara dua atau beberapa variabel. Data dikumpulkan dengan menggunakan teknik instrument penelitian. Metode analisis intrumen dengan menggunakan validitas instrument, reabilitas dan instrument.

Hasil penelitian yaitu sarana dan prasarana konseling sangat dibutuhkan untuk efektifitas layanan konseling yang akan dilakukan. Agar proses konseling yang dilakukan anatara guru BK dan Siswa dapat berjalan dengan baik dan terhaga kerahasiaanya. Dari efektifitas layanan konseling individu dapat disimpulkan tidak sesuai bahwa terdapat 16 orang siswa dengan persentase 23 % yang memiliki kategori sangat sesuai, 14 orang siswa dengan jumlah persentase 54% dengan kategori sesuai, 6 orang siswa memperoleh persentase 23%. data variabel penggunaan sarana dan prasarana kondengan dengan keefektifan layanan konseling individu dapat didistribusikan secara normal. hubungan yang positif dan signifikan antara penggunaan sarana dan prasarana konseling dengan keefektifan layanan konseling individu di SMK Harapan Bangsa Pasaman sebesar 0,540. Perolehan koefisien korelasi sebesar 0,540 jika dikonveksikan dengan tabel interpretasi nilai “r” maka termasuk kategori sesuai
FAKTOR-FAKTOR YANG MEMPENGARUHI PRESTASI BELAJAR MAHASISWA IMAPAR KOTA BUKITTIGGI
Authors: Wulandari Fani , Deswalantri Deswalantri
Published: January 2023

Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi prestasi belajar siswa IMAPAR di Kota Bukittinggi . Jenis penelitian yang digunakan adalah penelitian kualitatif deskriptif. Teknik pengumpulan data yang digunakan adalah wawancara. Teknik yang digunakan dalam pengambilan sampel sumber data adalah teknik purposive sampling. Analisis data dalam penelitian ini dengan cara reduksi data, power display serta penarikan kesimpulan dan verifikasi. Validitas data dilakukan dengan triangulasi metode. Hasil penelitian ini menunjukkan bahwa: (1) motivasi dalam meningkatkan prestasi belajar dapat berupa keinginan siswa untuk menambah pengetahuan, mencari pengalaman dan mencapai tujuan yang diinginkan, serta mendapat dorongan dari orang tua; (2) Minat kegiatan pembelajaran dapat dilihat dari kesiapan belajar, dan minat siswa terhadap kegiatan yang dilakukan berkaitan dengan metode pembelajaran; (3) Kreativitas mahasiswa dilihat dari bagaimana mengatasi kesulitannya masing-masing, terutama terkait belajar dan berbagi waktu dengan organisasi yang berbeda seperti kelompok belajar, sistem kebut-kebutan, dan sebagainya