bluuebunny/crossref_metadata_2025 huggingface dataset:
Perspective Chapter: Reflections from the Field – The Struggles of a Senior Manager in Pursuit of Social Justice and Equity, the Case of Walter Sisulu University in South Africa
Authors: Valile M. Dwayi Valindawo
Published: November 2023

In this chapter, I provide a perspective about what can constitute the struggles of the educational development practitioner for social justice and equity from the position of a senior manager. I enunciate the case of three crisis events about educational development from the social realist explanatory program, which draws on the critical realist philosophy, by arguing that what can be the crisis cases in the academic project can take place because the actors in such cases might be informed by the privileged discourses of economic rationality and neoliberalism (ER-NL) instead of social justice and equity (SJ-E). The instrumentalist and personal interests can allow for what can ultimately become more of the reproductive than what ought to be transformative outcomes. Such cases are antithetical to the value of university education as the public good. The analysis about the cases took a particular focus on the university education phase of its development as the two management and governance regimes were grappling with the institutional transformation change in general and the challenge of the academic project. The scholarly engagement of the cultural and human systems for some crisis events during the “change of guard,” albeit with demonstrable silences about the critical construct of quality enhancement, allowed for what could be finally declared as the exploratory research. The significance of such exploratory research is thus the advancement of what ought to be the theorization and conceptualization about social practices in contexts of historical and structural disadvantage and their expressively veracious considerations.
Aspergilosis: Resistance and Future Impacts
Authors: Junior Jorge Amanda
Published: November 2023

Fungal infections have been increasingly reported in routine, especially opportunistic ones such as aspergillosis, which represents a serious challenge for health professionals. The use of itraconazole, for a long time, was effective for a good clinical response, but factors associated with the advancement of medicine, length of stay, diagnostic errors, incorrect doses, and wrong choice of antifungal classes favored the appearance of resistance mechanisms. Thus, new research, together with the development of new molecules, is being carried out in order to reduce the advance of resistance, increasing patient survival.
Application of Machine Learning and Data Mining in Medicine: Opportunities and Considerations
Authors: Li Luwei
Published: November 2023

With the continuous development of information technology, machine learning and data mining have gradually found widespread applications across various industries. These technologies delve deeper into uncovering intrinsic patterns through the application of computer science. This trend is especially evident in today’s era of advanced artificial intelligence, which marks the anticipated third industrial revolution. By harnessing cutting-edge techniques such as multimodal large-scale models, artificial intelligence is profoundly impacting traditional scientific research methods. The use of machine learning and data mining techniques in medical research has a long-standing history. In addition to traditional methods such as logistic regression, decision trees, and Bayesian analysis, newer technologies such as neural networks, random forests, support vector machines, Histogram-based Gradient Boosting, XGBoost, LightGBM, and CatBoost have gradually gained widespread adoption. Each of these techniques has its own advantages and disadvantages, requiring careful selection based on the specific research objectives in clinical practice. Today, with the emergence of large language models such as ChatGPT 3.5, machine learning and data mining are gaining new meanings and application prospects. ChatGPT offers benefits such as optimized code algorithms and ease of use, saving time and enhancing efficiency for medical researchers. It is worth promoting the use of ChatGPT in clinical research.
ANALISIS LEGALITAS PRODUK PANGAN DI KABUPATEN SAMBAS
Authors: Susilawati Susilawati , Arza Seti , Ega Ega , Novita Novita , Fiona Fiona , Darmawan Bambang , Hikmal Hikmal
Published: November 2023

Pangan adalah salah satu kebutuhan utama bagi keberlangsungan setiap hidup manusia. Produk pangan harus memenuhi persyaratan sebagai pangan yang baik, aman, bermutu, dan bergizi. Tujuan dilakukan kegiatan ini adalah untuk mengetahui legalitas produk yang tersebar pada pasar swalayan dan toko tradisional yang ada di Kabupaten Sambas. Kegiatan ini dilakukan untuk memastikan apakah produk tersebut memiliki izin edar. Kegiatan dilakukan dengan mengamati kemasan produk yang memiliki barcode BPOM serta nomor P-IRT menggunakan aplikasi BPOM Mobile dan situs cek BPOM yang ada di internet. Aplikasi BPOM Mobile akan memindai barcode pada kemasan luar produk dan menampilkan spesifikasi produk tersebut apabila produk dinyatakan teridentifikasi oleh aplikasi. Kegiatan survei ini menghasilkan data sebanyak 200 produk dengan legalitas BPOM dan nomor P-IRT secara jelas dan telah dibenarkan peredarannya di masyarakat. Data ini disajikan dalam bentuk gambar dengan perbandingan 200 buah yang terbagi menjadi 50 produk basah, 50 produk kering BPOM, 50 produk basah, dan 50 produk kering P-IRT. Produk non-BPOM dan non P-IRT masih banyak ditemukan dan beredar luas di pasaran.
EFECTOS DE LA LOCALIZACIÓN Y ESCALA DE LA VIVIENDA ESTATAL. Factores de desigualdad sobre las oportunidades urbanas de sus habitantes, Buenos Aires (Argentina)
Authors: Najman Mercedes
Published: November 2023

The work analyzes the differential effects that different locations and architectural scales of social housing built in the City of Buenos Aires to respond to the informal territorial inscriptions of the popular sectors awaken on the possibilities of access to the city of their recipients. This is an investigation that compares three social housing neighborhoods from a qualitative-quantitative approach. It is noted that although the different urban positions physically bring these homes closer to very dissimilar urban externalities, the stigmas that are built and reproduced around social housing neighborhoods (regardless of their architectural typologies), configure barriers that install social distances with the urban opportunities that each zone enables. Social housing neighborhoods are presented as mediating instances between individuals and their urban environments, complicating effective access to the geographies of available urban opportunities.
Keywords: Social housing, Location, Urban integration, geographies of opportunities

El trabajo analiza los efectos diferenciales que distintas localizaciones y escalas arquitectónicas de la vivienda social construida en la Ciudad de Buenos Aires para dar respuesta a las inscripciones territoriales informales de los sectores populares despiertan sobre las posibilidades de acceso a la ciudad de sus destinatarios. Se trata de una investigación que compara tres barrios de vivienda social a partir de un enfoque mixto. Se advierte que aunque las diferentes posiciones urbanas aproximan físicamente a estos hogares a externalidades urbanas muy disimiles, los estigmas que se construyen y reproducen en torno a los barrios de vivienda social (independientemente de sus tipologías arquitectónicas), configuran barreras que instalan distancias sociales con las oportunidades urbanas que cada zona habilita. Los barrios de vivienda social se presentan como instancias mediatizantes entre los individuos y sus entornos urbanos, complejizando el acceso efectivo a las geografías de oportunidades urbanas disponibles.
Palabras clave: Vivienda social, Localización, Integración urbana, geografías de oportunidades
Características e recursos do meio urbano e satisfação com o bairro: análise das relações a partir da percepção do indivíduo no contexto brasileiro
Authors: Esperidião Aline Ramos , Fontolan Beatrice Lorenz , Penteado Ana Paula Bonini , Neto Alfredo Iarozinski
Published: November 2023

The way the environment affects the behavior and senses of individuals has been widely discussed. The experience with the particularities of the urban environment is an interaction between the individual and the environment, influenced by its characteristics that, consequently, affect the quality of life. This study aims to identify the relationships between neighborhood satisfaction and the variables associated with the characteristics and resources of the urban environment. The research adopted the Survey method for data collection, and as a data analysis technique, descriptive statistics and correlations were performed. Seventeen variables were analyzed, and the sample consisted of 426 respondents from the South, Southeast, and Midwest regions of the country, Brazilians over 18 years of age. The most significant correlations regarding neighborhood satisfaction were found in the following characteristics: the existence of good commerce, good schools, cultural activities, and green areas. It is possible to conclude that the individual seeks to meet their daily needs in the surroundings of their housing, that is, in the very neighborhood in which they live. Therefore, knowledge of the relationship between the urban environment and individual satisfaction plays an important role in developing cities and urban planning.

A forma que o meio afeta o comportamento e os sentidos dos indivíduos tem sido amplamente discutida. A experiência com as particularidades do meio urbano é uma interação entre o indivíduo e o ambiente, influenciada pelas suas características que, consequentemente, afetam a qualidade de vida. O objetivo deste estudo é identificar as relações entre a satisfação no bairro e as variáveis associadas às características e recursos do meio urbano. A pesquisa adotou o método Survey para coleta de dados, e como técnica de análise dos dados foram realizadas estatísticas descritivas e correlações. Foram analisadas 17 variáveis, e a amostra foi composta por 426 respondentes das regiões Sul, Sudeste e Centro-Oeste do país, brasileiros e acima de 18 anos. As correlações mais significativas em relação à satisfação com o bairro foram encontradas nas seguintes características: existência de bom comércio, de boas escolas, de atividades culturais e de áreas verdes. É possível concluir que o indivíduo busca atender suas necessidades cotidianas no entorno de sua habitação, ou seja, no próprio bairro em que vive. Assim, o conhecimento das relações entre meio urbano e a satisfação do indivíduo tem um papel importante para o desenvolvimento das cidades e o planejamento urbano.
Hybrid fuzzy and fire fly algorithm-based MPPT controller for PV system using super lift boost converter
Authors: Palanivel Manikannan , A Alaudeen , S Pandiyan K. , P Sivaprakasam
Published: November 2023

This study suggests a new simplified firefly algorithm (SFA) for maximum power point tracking (MPPT) of the solar system under conditions of partial shadowing. The disregarded and coefficients are present in the simplified firefly method, which is different from the regular firefly algorithm. The updated β coefficient for each iteration step is the second new feature, which helps to accelerate convergence. This approach is suggested to find the best PV system MPPT solution for three different shaded circumstances. The proposed method produced results with the highest possible power and efficiency. The ripple performed better than the conventional FA under steady-state conditions. The suggested algorithm’s key advantages over the conventional firefly algorithm are its simplicity, quicker convergence, and accuracy.
Print consistency evaluation on uncoated paper using various digital print engines
Authors: Jangra Vikas , Pandey Ambrish , Anayath Rajendra K.
Published: November 2023

Print quality is most exclusively aspect which is observed mostly and corelated to different printing attributes. Various attributes like print density, color difference (ΔE value) and overprint trap are some crucial aspects to evaluate print quality. Print density refers thickness of ink film applied on any media, color difference provides significant mismatch between targeted and printed while evaluating print quality and overprint trap is ability to accept subsequent layer of ink on already printed ink. This research emphasizes on study of print quality and evaluation in terms of print consistency on uncoated paper using various digital print engines
Eco-critical dystopia and anthropocentrism in Margaret Atwood’s Oryx and Crake
Authors: Saund Gurpreet S. , Samy Kulandai
Published: November 2023

Geopolitical anxieties entangled and emerged with the anthropocene, creating a collective imaginary of critical eco-dystopia in a fictive way. The imaginings of apocalypse evade the entire human civilization with its natural habitat, deluging the corpses to be laid onto the death-stricken bed of the world. Drawings on sight provide an anthropocentrism-critical approach toward the textual interpretation in general. This research article decontextualizes critical dystopian fiction and predicts the reality of biotechnology advances in Oryx and Crake. It expands on the eco-critical dystopian world to the point that it defines its long-term viability through compelling human insights that exemplify destructive acts. For instance, cybernetics, artificial intelligence, virtual reality, species splicing, and genetic engineering deploy the critical dystopic vision and transform the planet into a dilapidated globe, which becomes an untowelled world
Preserving heritage through Fusion: An empirical study of Chikankari and Madhubani art
Authors: . Unnati , Fatma Tatheer
Published: November 2023

Chikankari is a shadow work of Lucknow, the capital of India’s biggest state (in terms of population), Uttar Pradesh. it is generally done on the see-through fabric in which the work done on the wrong side of the fabric is clearly visible from the right side of the fabric. On the other hand, Madhubani paintings are an art form of Mithila region of Bihar. It was the birthplace of Hindu goddess Devi Sita. It is said that when Devi Sita was getting married, her father king Janak wanted to embrace that moment in the form of paintings that’s when this concept of Madhubani paintings came into reality. In this research paper the likeability and acceptability of the fusion of these two arts (Chikankari and Madhubani paintings) has been checked among consumers of Chikankari.
Pigeonpea (Cajanus cajan L.) growth and yield with varying spacing and fertilizer
Authors: Goswami V. K.
Published: November 2023

A field experiment was conducted during kharif season of 2020 at the research farm of Amar Singh College Lakhaoti. Treatment consistedof 3 Row spacing (30, 60 and 90 cm) and 3 levels of DAP application (control, 100 and 200 kg/ha). Results showed that treatment of30 cm row spacing produced at par plant height compared to 60 cm row spacing. Treatment of 100 kg DAP per hectare producedsignificantly plant height as compared to 200 kg DAP per hectare. The same trend was observed for a number of branches, leavesand dry matter accumulation. Treatment of 60 cm row spacing was found to be significantly superior over 30 cm raw spacing for yieldand yield attributes treatment of 30 cm raw spacing recorded significantly higher protein content as compared to 60 cm raw spacing,whereas treatment of 100 kg DAP per hectare was found significantly superior over control and 200 kg DAP per hectare for variousgrowth parameters, yield attributes and yield.
Comparative analysis of print contrast of hybrid modulated digitally modulated screening on different grades of paper
Authors: Vandana  , Pandey Ambrish
Published: November 2023

Information technology and Innovation has transformed our life; the same is true for printing. Screening technology has developed and become highly advanced during past few decades. The aim of this research is to identify the significant difference in print contrast between hybrid modulated (XM) digitally modulated (DM) screening on different grades of paper printed by sheet-fed offset printing process. Samples sheets are printed with same solid ink density to make valid comparison. Around 150 sheets are printed to achieve target solid ink density value (+ 0.05) during printing. After the density values are attained in accordance with standard SID values, next 50 sample sheets are printed, measured and evaluated.Information Technology and Innovation has transformed our life and same is true for printing also. Screening Technology has developed and become highly advanced during past few decades. The aim of this research is to identify the significant difference in print contrast between Hybrid Modulated (XM) & Digitally Modulated (DM) Screening on different grades of paper printed by sheet-fed offset printing process. Samples sheets are printed with same solid ink density to make valid comparison.  During printing, around 150 sheets are printed to achieve target Solid Ink Density value (+ 0.05). After the density values are attained in accordance with standard SID values, next 50 sample sheets are printed, measured and evaluated.
On the effectiveness of receiving teacher and peer feedback as a mediator on Iranian English as a Foreign Language learners’ writing skill: Mobile-mediated vs. direct instruction
Authors: Khabisi Maysam A. , Masoudzade Azar B. , Rad Neda F.
Published: November 2023

This study was an endeavor to explore the effect of receiving teacher and peer feedback on Iranian english as a foreign language (EFL)learners’ writing skills via mobile texting. A placement test was administered to homogenize them, as a result, 62 of them were selectedand randomly assigned into equal groups of experimental and control (31 Ss in each). After that, a writing pretest was administeredto both groups at the beginning of the term to ensure they had the same language background. Then, the treatment started and theexperimental group received the required feedback from two sources, i.e., teacher and peers via mobile texting, while the control groupreceived instructions directly from their teacher. Data analysis revealed that the learners who received teachers’ and peers’ feedback viamobile texting outperformed the ones who were instructed through the conventional method. The results also indicated no differencebetween the performance of male and female learners.
Lung cancer disease identification using hybrid models
Authors: Prabhu R , Sathya S , Umaeswari P , Saranya K
Published: November 2023

Using hybrid models, we present a novel method for detecting lung cancer in this study. Our method uses the random forest and convolutional neural network (CNN) techniques to incorporate machine learning and deep learning advantages. The proposed composite method combines structured clinical data with unprocessed imaging data for a more complete lung cancer diagnosis. The CNN component of our hybrid model excels at extracting features from images of lung cancer, while the random forest component excels at capturing complex relationships in structured data. For greater precision and consistency, the results of the two models may be averaged. The hybrid model outperforms the existing methods. The hybrid model acquired an accuracy rate of 98%. Future lung cancer detection will be rapid and accurate due to the hybrid model’s improved performance and decreased inference periods.
IoT based home automation with energy management
Authors: Begum A. R. Jasmine , Parveen M. , Latha S.
Published: November 2023

Automation of home appliances has become the prime utility of embedded systems. This automation method is inclusive of a sensor-based automated system that requires no human/conventional interventions. This paper proposes the usage of voice commands to have control over the entire appliances, which is easy to handle by old age/disabled people. The major aspect of this paper is to introduce a new system for disabled and normal people. This method involves a Raspberry-Pi-3 control board, which has a WiFi module termed Raspberry-Pi-3. For sending the voice instruction to the Raspberry-Pi-3 a mobile application is used. The function of the application is to record the voice and convert the voice note into a command for Raspberry-Pi-3. This process is facilitated by WiFi communication. This system also uses IoT for measuring the power consumed by the active appliance over the current sensor and the Webserver can preview the power consumption.
Integrating machine learning and mathematical programming for efficient optimization of electric discharge machining technique
Authors: Neerav Nishant  , Rathore Nisha , Vinay Kumar Nassa  , Dwivedi Vijay Kumar , Thulasimani T  , Surrya Prakash Dillibabu
Published: November 2023

This study focuses on predictive modeling in machining, specifically material removal rate (MRR), tool wear rate (TWR), and surface roughness (Ra) prediction using regression analysis. The research employs electrical discharge machining (EDM) experiments to validate the proposed unified predictive model. The approach involves varying machining parameters systematically and collecting empirical data. The dataset is split for training and testing, and advanced regression techniques are used to formulate the model. Evaluation metrics such as R-squared and mean-squared error (MSE) are employed to assess the model’s accuracy. Notable findings include accurate predictions for MRR, TWR, and Ra. This approach demonstrates the potential for real-world application, aiding decision-making processes and enhancing machining efficiency. The research underscores the importance of predictive modeling in manufacturing optimization, offering insights into refining model architectures, data preprocessing techniques, and feature selection. The findings affirm the relevance and applicability of predictive modeling in manufacturing, emphasizing its potential to elevate precision and efficiency
Deep learning methods and integrated digital image processing techniques for detecting and evaluating wheat stripe rust disease
Authors: Ravikiran K  , Neerav Nishant  , M Sreedhar  , N.Kavitha  , Kathiravan Mathur N , A Geetha
Published: November 2023

In recent years, signal processing and deep learning convergence has sparked transformative synergies across various domains, including image and speech recognition, natural language processing, autonomous systems, and healthcare diagnostics. This fusion capitalizes on the strength of signal processing in extracting meaningful features from raw data and the prowess of deep learning in unraveling intricate patterns, driving innovation and research into uncharted territories. This paper explores literature spanning the past three years to illuminate the dynamic landscape of scholarly endeavors that leverage the integration of signal processing techniques within deep learning architectures. The resulting paradigm shift magnifies the precision and efficiency of applications in computer vision, speech and audio processing, natural language comprehension, and interdisciplinary domains like healthcare. Notable advances include synergizing wavelet transformations with convolutional neural networks (CNNs) for enhanced image classification accuracy, integrating spectrogram-based features with deep learning architectures for improved speech-to-text accuracy, and pioneering the fusion of wavelet packet decomposition into recurrent architectures for sentiment analysis. Moreover, the paper delves into developing and evaluating a U-Net neural network model for image segmentation, investigating its performance under varying training conditions using metrics such as confusion matrices, heat maps, and precision-recall curves. The comprehensive survey identifies research gaps, notably within the context of wheat rust detection, and emphasizes the need for tailored innovations to enhance accuracy and efficiency. Overall, the synthesis of signal processing techniques with deep learning architectures propels innovation, poised to address complex challenges across diverse domains
A network for collaborative detection of intrusions in smart cities using blockchain technology
Authors: Anitha V , Seema Sharma  , R. Jayavadivel  , Akundi Sai Hanuman  , B Gayathri  , R. Rajagopal
Published: November 2023

The field of cybersecurity has undergone significant transformation with the integration of machine learning (ML) and artificialintelligence (AI) techniques into intrusion detection systems (IDS). This research article presents a comprehensive survey spanningthe past five years, exploring the symbiotic relationship between ML, AI, and intrusion detection. The survey traverses seminal studies,methodologies, and results, shedding light on an evolving landscape characterized by innovation and advancement. The classificationreport’s key metrics—precision, recall, F1-score, and support. High precision values point to accurate positive predictions, while recallvalues showcase the model’s ability to capture true instances. The F1-score signifies the equilibrium between precision and recall. Thesemetrics collectively underscore the model’s proficiency in identifying and differentiating intrusion classes, reinforcing its real-worldapplicability. In conclusion, this research article presents a holistic view of ML and AI integration with intrusion detection, offeringinsights into innovative contributions and their implications for cybersecurity. While highlighting existing research gaps, the articleunderscores the potential of AI-driven intrusion detection systems and advocates for ongoing advancements to fortify digital securityagainst emerging threats.
Challenges encountered by healthcare professionals in monitoring adverse events due to medical devices-A review
Authors: Raju Nithya , Deivigarajan Shruthi , Santhakumar Sindhuja , Balamurugan Sneha
Published: November 2023

Medical devices can be hazardous despite their positive benefits. Reporting medical device adverse events are voluntary for all the health care professionals but the number of reporting adverse medical events are less when compared with all the available studies in India. Hence it is important to address the reasons and challenges that are faced by health care professionals in reporting the events so that safety and quality action can be taken in order to prevent them. Understanding the obstacles to and reasons for patient reporting is necessary and may help to increase the safety of medications. This review provides an insight into factors contributing to underreporting of MDAE such as Health care system capacity related, organizational related barriers, and Industry responsiveness. This review might offer helpful data for overcoming barriers in monitoring and support quality and safety management in hospitals.
Improved Steganography for IoT Network Node Data Security Promoting Secure Data Transmission using Generative Adversarial Networks
Authors: Prabhu R. , Archana P. , Anusooya S. , Anuradha P.
Published: November 2023

An internet of things (IoT) is an intelligent environment such as homes and smart cities of our country, and IoT improves the new technology implementation for home automation. The problem with security in IoT-based devices is that data transmission and signal passing are easily hacked using encryption and decryption methods. The old technology of the Steganography method does not improve the data hidden in images because encryption and decryption use a 1-bit 0.05-bit store, and low ranges hide the information in images, so that information hides out of the size and bits of the image. The hackers easily hack the hide information pixel by pixel or bit by bit in images. So, need for a proposed system, new technology, or methods. The suggested solution improves data concealment in photos by combining CNN’s deep learning techniques with steganography. The secret information these photographs convey can be shared without drawing hackers’ notice. The data is encrypted before being embedded in the image to increase its security. Steganography messages are frequently encrypted using more conventional methods first, after which the encrypted message is added to the cover image in some manner. The previous algorithm of SFNET algorithm architecture has been divided by segment, the segment based on width, height, and depth changes based improve performances. Existing systems of SFNET and SRNET are compared to the fractal net algorithm to improve the performance of 3 to 1 % of the proposed system.
Effect of hyaluronic acid application on gingival black triangles– A systematic review
Authors: Ali Minas M. , Nuhed Fatema M. S. B , Alsheikhoon Ibtihal Ahmed M , Alhuthali Kholood K. S , Almalki Ohood A. H
Published: November 2023

Interdental papilla loss, also known as “black triangles,” is a prevalent issue that both patients and dentists worry about. According to Singh and Vandana (2019a), the gingival black space is the loss of the papillary height. One of the most difficult periodontal issues to address is this one. According to V. P. Singh et al. (2013), tooth loss, incorrect restoration contouring, traumatizing oral hygiene practices, and dental spacing all play a role. Dentistry has paid a lot of attention to the use of hyaluronic acid (HA) injections for papilla regeneration in cases of interdental black triangles (BTs). The discussion here highlights the various strategies and results connected with employing HA injections for papilla regeneration.
The role of public-private partnerships in facilitating international migration of semi-skilled workers–A case study of Varanasi and nearby districts
Authors: Kumar Manish , Prakash Nirupama , Bihari Saket
Published: November 2023

This study focuses on the role of public-private partnerships (PPPs) in addressing skill gaps and enhancing the labor mobility of semi-skilled workers in Varanasi, India. The research aims to explore the impact of PPPs on labor mobility, factors influencing migration decisions, and the role of private agencies in facilitating international mobility. The findings underscore the importance of collaboration between public and private sectors and suggest policy implications such as strengthening skill development, comprehensive information dissemination, pre-departure orientation, institutional support, monitoring recruitment agencies, financial inclusion, cross-cultural training, and promoting returnee entrepreneurship. This study provides insights for effective migration policies benefiting both origin and destination countries by empowering migrant workers.
Peningkatan Hasil Belajar Matematika melalui Problem Based Learning (PBL) Berbantu Media Kartu Bergambar pada Kelas 1 SD
Authors: Rahmah Umatin , Dewi Nurul Kemala , Mariana Baiq
Published: November 2023

This research was conducted with the aim of improving learning outcomes through the problem-based learning (PBL) method assisted by picture card media in grade I elementary school students.  The Problem Based Learning (PBL) method is a learning method that trains and develops the ability to solve an authentic problem of students' actual lives scientifically, which is arranged systematically and discovery is centered on the learner, so that it is expected to change the way students learn independently by improving student learning outcomes. This research is an action research (Class Piercing Research) which consists of three cycles. The conclusion in this study shows that  the Problem Based Learning (PBL) method assisted by picture card media has been proven to improve student learning outcomes, namely 47.6% in cycle 1 and increased 71.4% in cycle 2 and in cycle 3 to 85,7%. Therefore, the Problem Based Learning (PBL) method assisted by picture card media is recommended to be applied in learning. The purpose of this study was to determine the use of the Problem Based Learning (PBL) method assisted by picture card media to improve learning outcomes. The study was conducted at SDN 15 Mataram with a class I sample of 21 students. From the data obtained, it is concluded that the use of the Problem Based Learning (PBL) method assisted by picture card media can improve learning outcomes.
Analisis Gerak Tari Campak di Sanggar Pelandok Laki Kecamatan Tanjung Pandan, Kabupaten Belitung
Authors: Apriani Reni , Darmawati Darmawati
Published: November 2023

This study aims to analyze the motion of measles dance in pelandok laki studio, Tanjung Pandan sub-district, Belitung Regency. This research uses qualitative research with descriptive methods. The object of this research is Measles Dance in Sanggar Pelandok Laki, Tanjung Pandan District, Belitung Regency. The main instrument of this research is the researcher himself. Based on the results of the study it can be concluded that Measles dance seen from the aspects of space, time and energy aspects of Measles dance has several elements contained in Measles dance movements. Measles dance observed from the perspective of the element of motion space is 6 straight lines. So the dominant in the motion of Measles Dance is a straight motion that has the impression of calm and balanced with full of enthusiasm. The volume in the measles dance is 6 medium volumes, so the dominant volume is medium volume, which means it describes the joy or cheerfulness of teenagers in entertaining the community after the rice harvest. The dominant level is the medium level. The direction of facing in the measles dance is 4 facing the front 2 facing the right side left which describes intimacy. While the focus of view in Measles Dance movements is dominant to the hand or shawl.
Efektivitas Program Samsat Keliling dalam Pelayanan Wajib Pajak Kendaraan Bermotor di Samsat Padang Pariaman
Authors: Ferdana Reza Fyhalevi , Jumiati Jumiati
Published: November 2023

This research aims to analyze the effectiveness of the mobile samsat program in motor vehicle tax payer services at samsat Padang Pariaman. This research discusses the success of the mobile samsat program in motor vehicle tax payer services at samsat Padang Pariaman seen from aspects of program effectiveness. In this research the author used qualitative research methods through case studies and data collection through interviews, observation and literature study. The results of this research show that the mobile Samsat program for motor vehicle taxpayer services has been operating quite effectively, where the mobile Samsat program which is already operating has had a good influence on the taxpayer community who want to pay motor vehicle tax without having to go to the Samsat office.
Antifungal activity of selected pesticidal plants against phaeoisariopsis personata and phytochemical analysis, central Tanzania
Authors:   , Francis Magreth
Published: November 2023

The late leaf spot (LLS) caused by Phaeoisariopsis personata L., is the most serious fungal disease of groundnut worldwide. The LLS causes considerable damage to groundnuts leading to leaf defoliation and consequently reduces pod yields by more than 50%. Research was carried out to evaluate the antifungal activity of Parthenium hysterophorus, Azadirachta indica and Jatropha curcas against P. personata and analyse the possible compounds exhibiting antifungal properties at the Tanzania Plant Health and Pesticide Authority (TPHPA)-Arusha, Tanzania. The field survey results indicated that the LLS disease of groundnuts prevailed in the central zone of Tanzania with overall disease incidences between (54.65-84.70%) and severities (4.9-7.00). This finding provides alerts to the global plant health regulators suggesting a proper management skill. The evaluation the selected pesticidal plants revealed that all the plant extracts showed antifungal activities against P. personata under in vitro and in vivo (screen-house) conditions. The methanolic leaf extracts of all tested plants offered higher antifungal activities with >75% inhibition of mycelial growth of P. personata compared to control (0% inhibition). Similarly, the application of methanolic leaf extracts of selected plant extracts on groundnuts seedlings grown in pots under screen-house condition at the highest concentration (0.5 mg/ml) exhibited antifungal potentials against P. personata by reducing the disease incidence being 14.30% and severity of 2.22 compared to chloroform (17.44%, 4.07) and ethyl acetate (20.56%, 4.26) leaf extracts. Subsequently groundnut seed yield/plant was greater 45.09 g for crop treated with the most effective plant extract (A. indica at 0.5 mg/ml) as compared to untreated 7.76 g. Furthermore, the phytochemical analysis of the selected pesticidal plants by GC-MS identified important phytocompounds with antifungal properties from the tested plant extracts mainly; hexadecanoic acid ethyl ester, methyl salicylate, phytol, phenol 2,4-bis (1,1-dimethylethyl), n-hexadecanoic acid, hexadecanoic acid methyl ester and hexadecane. The presence of these antifungal phytocompounds in the selected plants is associated with their effect on the P. personata. A further study under field condition is recommended on the tested plants (P. hysterophorus, A. indica and J. curcas) on possibility of developing bio fungicides for the management of groundnut LLS disease in Tanzania.
Comparative assessment of soil phosphate status, water eutrophication, and potentially toxic metal accumulation in Usagu agro-ecosystem
Authors:   , Mng’ong’o Marco
Published: November 2023

The present study assessed (i) soil fertility, phosphate status, sorption capacity and saturation, (ii) accumulation and distribution of potentially toxic elements (PTEs) in soils and plants, and (iii) soil and surface water quality as they are influenced by current farming practices in Usangu agro ecosystem (UA) following increased agricultural intensification and urbanization. Soil, sediment, plant, and water sample were collected from ten irrigation schemes for plant nutrients, physico chemical soil properties, PTEs, water quality determination and assessment. The results indicated that 90% of studied soils had N, P, K, Mg and most micronutrients (Cu and Zn) in deficient levels compared to recommended levels. To ensure sustainable intensification of agricultural production, additional fertilization is recommended. The P soil sorption capacity (PSC), P saturation status (PSD) and its determinants (inherent P (PM3), AlM3, FeM3, and CaM3) which influence P availability, storage, and P losses to the environment determined in UA, were in a range (mg/kg) of: PM3 (14.9- 974.7), AlM3 (234.7-3789.4), FeM3 (456.9-2980.2), and CaM3 (234.7-973.3). Where estimated PSCM3 ranged 5.6-34.9 mmol/kg, indicating low to high status for P holding or fixation. Some soils had very low PSCM3 indicating a risk of P loss to environment. The estimated PSDM3 ranged from 0.01-17.6% and was less than 24%, indicating low P loss risk from farmlands to water bodies. Some of studied soils had PSDM3 above 15%, which is equivalent to 25% based on ammonium oxalate method, which can cause higher P loss risk. The spatial PTEs distribution in soils in paddy, maize farming, and conservation areas across contrasting land management schemes (Group I dominated by agricultural areas versus Group II dominated by residential and agricultural areas) varied significantly (P < 0.05) across groups and land use. Where total and bioavailable concentrations (in µg/kg) of some PTEs determined were; Cr (Group I = 1662 and Group II = 1307 (Total), Group I = 55.1 and Group II = 19.2 (bioavailable)) and Pb (Group I = 5272 and Group II = 6656 (Total), Group I = 1870 and Group II = 1730 (bioavailable)). Farming areas had higher PTEs concentrations than non-farming areas. Overall, concentrations of Fe (99.5%), As (87%), Se (66%) and Hg (12%) were above Tanzanian maximum permissible limits. Furthermore, water quality and eutrophication characterization in UA observed water pH ranging 4.9 to 6.8, where some were outside FAO acceptable range (6.5-8.4) for irrigation water. The NH4-N ranged 10.6- 70, NO3-N (8.4-33) and total N (19.1-104 mg/L), which increased as water moved from intakes to drainages. Whilst total P ranged 0.01-1.65 mg/L and increased from intake to drainages and in some sampling points exceeding 0.1 mg/L indicating water quality degradation.
Taking Legislative Action: How, Why, and Why Now?
Authors: Glover Holly
Published: November 2023

Holly Glover, MSEd, MPAS, MBA, PA-C, encourages SDPA members to be informed on the current issues, and unite their voices in response to those issues.
Novels Ancika Dia Yang Bersamaku Tahun 1995 by Pidi Baiq in Feminist Perspective
Authors: Iqbalva Demas Wibowo  , Pamungkas Onok Yayang
Published: November 2023

This study represents an effort to investigate the feminist spirit within Pidi Baiq's novel "Ancika Dia Yang Bersamaku Tahun 1995". The study employs a qualitative research method. The data used is the novel Ancika Dia Yang Bersamaku Tahum 1995, published by Pastel Books in 2021. Data collection was carried out through the technique of note-taking. The findings of the study reveal that the novel Ancika Dia Yang Bersamaku Tahun 1995 possesses a strong representation of feminism. Through the story's plot, the author presents a discourse about the equality of rights and obligations between women and men. The novel portrays the importance of equality, equal rights, and respect for women. Through the character of Ancika, readers are invited to witness the role of a strong, brave woman who is capable of determining her own fate. This stimulates thought about the importance of creating a just and inclusive society, where women have an equal and respected role in all aspects of life. The implications of the findings highlight the importance of valuing and recognizing the equality between women and men in various aspects of life. Thus, society must strive to create an environment that is fair and inclusive, where women have equal rights with men in social interactions, relationships, and other fields.
Islamic Democracy or Secular? Some Aspects of Democracy Practiced in Indonesia
Authors: Khairunnisa Brilliant Windy
Published: November 2023

Indonesia is one of the largest democratic countries in the world, especially in the way of elections with its unique system. However, Indonesia is notable for its largest population of Islamic society which could influence its policy. In this regard, this study aims to analyse the democratic application in Indonesia with an Islamic democracy or secular democracy by using democracy indicators including the election process, civil liberties, government function, and political culture. This study was conducted with a qualitative explorative method while both primary and secondary data were conceived. This study results illustrate that the Indonesian state does not implement an Islamic democratic system because there is no Islamic constitution that applies in it, however, due to the existence of a majority Muslim society somehow influences some of the policies that apply therefore that it cannot be claimed to be a completely secular democracy. Nevertheless, the future of the democratic system in Indonesia will be determined by the results of the general election in 2024
Rural Development Research Trends: Bibliometric Analysis Using Publish or Perish and Vosviewer
Authors: Komang Ariyanto
Published: November 2023

This article aims to revisit the study of rural development, agricultural development, and rural livelihoods by highlighting publications in Google Scholar and Semantic Scholar from 1980 to 2023. The study utilized Google Scholar's and Semantic Scholar's 43-year citation database to compile articles. The keywords used in this study were "Rural Development," "Agricultural Development," and "Rural Livelihoods," with English document filters applied through the Publish or Perish software. Descriptive statistical methods were used to present graphs, diagrams, tables, and literature reviews. Subsequently, a bibliometric analysis was performed on the data using the VOSviewer software. In this study, visualization of citations and keywords was conducted. The study reveals significant research trends in rural development, agricultural development, and rural livelihoods over the past 43 years. Based on the visualization of a large cluster network map containing concepts related to rural development, agricultural development, and rural livelihoods, various advancements in concept development emerged. Studies on the mathematical modeling of rural development, agricultural development, and rural livelihoods remain separate. No study has integrated the topic of agricultural development and rural livelihoods within the context of agricultural development. The researcher further employs bibliometric analysis to identify relevant keywords related to the topics of study: rural development, agricultural development, and rural livelihoods. Thus, the researchers suggest further study on the rationalization of farmers in dryland areas to realize food security for local communities' livelihoods. Additionally, studying agricultural development programs on dryland areas is necessary, integrating the perspective of sustainable livelihoods to support and realize sustainable rural development
Gramsci em Debate: Ensaios sobre a Educação Transformadora
Authors: Nascimento Lorivaldo do , Favoreto Aparecida
Published: November 2023

A “educação transformadora” deve ser embasada no diálogo e na participação ativa. Isso implica que os educadores devem criar ambientes nos quais os estudantes possam discutir livremente, questionar e colaborar na busca do conhecimento. Essa abordagem não apenas estimula o pensamento crítico, mas também empodera os estudantes a se envolverem ativamente na transformação da sociedade. A crença na capacidade da educação de desafiar a hegemonia, promover o pensamento crítico e capacitar as classes subalternas na luta por uma sociedade mais justa torna as ideias de Gramsci extremamente relevantes para a educação contemporânea e a busca por transformação social, como se pode notar nas profundas reflexões dos ensaios que compõem a presente obra.
Is Limiting Abortion a Pretext for Oligarchy?: Abortion and the Quest to Limit Citizen-Initiated Ballot Rights in Ohio
Authors: Brunner Jennifer
Published: November 2023

In the shadow of a ballot issue attempting to enshrine abortion rights in the Ohio Constitution, a of the Ohio legislature devised an intervening constitutional amendment which set a special election, despite having outlawed special elections earlier in the year. The intervening question before voters was whether to raise the threshold for constitutional amendments from fifty percent plus one to sixty percent. While the scheme was viewed by many as the supermajority’s way to stop the abortion rights amendment from becoming a constitutional right, there is an argument that using emotionally charged issues such as abortion is a pretext for schemes that would preserve and perpetuate oligarchic power.