bluuebunny/crossref_metadata_2025 huggingface dataset:
A Basel Norms Compliance in Indian Banks
Authors: Shetty Megha D. , Bhat Sudhindra
Published: July 2024

Purpose: The object of this paper is to examine the phased implementation of Basel standards Basel-I, and Basel II and a detailed analysis of Basel-III since 1994 and analyze the challenges encountered throughout this process.
Methodology: A range of sources, such as journals, websites, studies, and publications was used to gather information. To offer a thorough summary of the subject, details have been considered and combined.
Findings: The Study has revealed that the formulation of Basel norms primarily considers Organisation for Economic Cooperation and Development (OECD) countries rather than developing countries. Consequently, banks in developing countries may experience a significant decline in return on capital (ROA) due to these new standards. India is currently at a crossroads, striving to balance the achievement of social objectives such as financial inclusion with the creation of a resilient financial system capable of absorbing financial shocks.
Originality: The Basel Committee on Banking Supervision (BCBS) introduced a proposed accord in 1988, which was later adopted in India in April 1994. Over time, India implemented Basel-II and Basel-III norms in 2009 and 2013 respectively. These stringent capital adequacy requirements are for Indian banks, as their capital needs are projected to increase by the present.
Utilitarian Implication: The crisis prompted to strengthening of banks worldwide by implementing a comprehensive regulatory framework to calculate Credit Risk risk-weighted asset Ratio (CRAR), considering credit market and operational risks. Indian banks have been adhering to Basel-III norms since 2013.
Research Type: Descriptive Quantitative Study.
ಆಧುನಿಕ ಭಾರತದಲ್ಲಿ ಪ್ರಾಚೀನ ಸಂಸ್ಕೃತ ವಾಙ್ಮಯದ ಕೊಡುಗೆ ಮತ್ತು ಅನ್ವಯಗಳು - ಸಂಸ್ಕೃತ ಮತ್ತು ಕೃಷಿ
Authors: ಪೈ ಬಿ. ದಿವ್ಯಶ್ರೀ ಜಗದೀಶ , ವಿ ಭಟ್ ಭಾಸ್ಕರ
Published: July 2024

ಭಾರತ ಒಂದು ಕೃಷಿ ರಾಷ್ಟ್ರ; ರೈತ ದೇಶದ ಬೆನ್ನೆಲುಬು ಮತ್ತು ಅಡಿಪಾಯ. ಪ್ರಾಚೀನ ವೈದಿಕ ಕಾಲದಿಂದಲೂ ಭಾರತೀಯರು ಕೃಷಿಯಲ್ಲಿ ತೊಡಗಿಸಿಕೊಂಡಿದ್ದಾರೆ. ಕೃಷಿ ಮಾನವನ ಜೀವನೋಪಾಯದ ಪ್ರಮುಖ ಸಾಧನವಾಗಿದೆ.ಭಾರತೀಯ ಜ್ಯೋತಿಷ್ಯ ಶಾಸ್ತ್ರದಲ್ಲಿ ಮಾಸ,ಗ್ರಹ,ತಿಥಿ,ನಕ್ಷತ್ರ, ವಾಯು,ಮುಹೂರ್ತ - ಇವುಗಳ ಆಧಾರದಲ್ಲಿ ಮಳೆಯ ಗಣನೆಯನ್ನು ಕರಾರುವಕ್ಕಾಗಿ ನಿರ್ಧರಿಸುವ ಬಗೆಯನ್ನು ತಿಳಿಸಿದ್ದಾರೆ.ಅನೇಕ ಗ್ರಂಥಗಳಲ್ಲಿ ಈ ಬಗ್ಗೆ ಉಲ್ಲೇಖಗಳನ್ನು ಉದಾಹರಿಸಲಾಗಿದೆ. ಕೃಷಿಗೆ ಅಗತ್ಯವಿರುವ ಮಳೆ -ಯಾಕೆ,ಯಾವಾಗ,ಹೇಗೆ ಉಂಟಾಗುತ್ತದೆ ಹಾಗೂ ಅದರ ಕಾರಣವನ್ನು ಮತ್ತು ಇಂದಿಗೆ ಅದರ ಅನ್ವಯವನ್ನು ಪರಾಶರ ಋಷಿಗಳು ಬರೆದ ಕೃಷಿಪರಾಶರ ಗ್ರಂಥದ ಆಧಾರದಲ್ಲಿ ಕಂಡುಕೊಳ್ಳುವ ಪ್ರಯತ್ನವನ್ನು ಪ್ರಸ್ತುತ ಲೇಖನದಲ್ಲಿ ಮಾಡಲಾಗಿದೆ.
Teologías, ciencias y omnipotencias
Authors: Domínguez Morano Carlos Manuel
Published: July 2024

La teología, como reflexión sobre un mensaje de fe que ha de ser proclamando en el mundo, no puede desentenderse de los parámetros que rigen en el tiempo y la cultura a las que este mensaje se ha de dirigir. Por otra parte, el pensamiento religioso, por lo que es el objeto mismo de su reflexión, fácilmente puede caer en esa tentación totalitaria que el psicoanálisis supo descubrir latiendo en toda construcción teórica. Por ambas razones, la urgencia de abrirse a los datos que ofrecen tanto las ciencias físicas como las humanas ha de constituir un reto insoslayable del quehacer teológico actual. El Concilio Vaticano II, en su constitución pastoral Gaudium et Spes, insistió en esta necesidad, particularmente en la atención que la teología debería prestar a las ciencias sociológicas y psicológicas. Fueron importantes las revisiones que a partir de ahí se llevaron a cabo. En la actualidad, el pensamiento feminista y ecológico deberían igualmente constituirse en retos a afrontar. Por último, se insiste en la necesidad de abrir también una reflexión sobre el tema de la belleza en tanto lugar teológico hasta hoy tan marginado en el pensamiento teológico.
Iluminando el cielo con luceros y saetas
Authors: Rocha Areas Violeta
Published: July 2024

Reseña del libro Bajo un cielo sin estrellas: Lecturas bíblicas y meditaciones de la Dra. Elsa Tamez Luna
The Dynamics of Consumer Spending in the COVID-19 Pandemic
Authors: Srivani Musbatiq , Faisal Ranny Fitriana
Published: July 2024

This cross-sectional research was conducted with the goal of assessing the Marginal Propensity to Consume (MPC) among individuals residing at regional level, both prior to and in the midst of the COVID-19 pandemic. The study aimed to gain an understanding of the significance of the MPC values. These MPC values serve as a reflection of the spending tendencies of the West Sumatra population, providing valuable insights into consumer behavior during distinct time periods. For this study, data was gathered using online surveys that were distributed to chosen samples across different regions and urban areas in West Sumatra. The analysis relied on the Ordinary Least Squares Method. The findings of the research highlight a significant contrast in MPC values prior to and amid the COVID-19 pandemic. To be precise, the MPC value was higher before the pandemic compared to what was observed during the pandemic. This difference can be attributed to increased economic uncertainty during the pandemic, which led to a reduction in autonomous consumption. Additionally, this research goes beyond exploring spending habits by investigating the portion of income dedicated to consumption prior to and amidst the COVID-19 pandemic. The results reveal that the percentage of income directed towards consumption during the pandemic is less than what was observed before the pandemic. These outcomes are in harmony with economic theories and underscore the influence of uncertain circumstances on how consumers allocate their funds.
Artificial Intelligence in Recruitment: Navigating the Era of Web 4.0
Authors: Melliani Hamza , Mouhtat Imane , Kerfal Wafa , Razouk Ayoub
Published: July 2024

As digitalization puts everything into question, companies are becoming increasingly aware of the digital transformation that is challenging the way they react to their global ecosystem (Léon & Dejoux, 2018). AI has taken its place in our current lives; it has penetrated human life on all levels (the professional level is no exception) including recruitment which in turn finds itself faced with this technology (Mallard, 2018). This study aims to analyze the perceived adoption of artificial intelligence in recruitment through a systematic literature review and descriptive statistical analysis. Focusing on the private sector in Morocco, the study examines AI adoption challenges in five sectors: administration and office automation, human resources, production and manufacturing, finance and accounting, and education. The study was carried out by means of a questionnaire sent by e-mail to a pre-defined sample of companies. We received 66 responses. After removing the outliers, the final sample size was 60. Based on flat analyses, the results show a perception of job losses in the human resources and education sectors. Despite the advantages of AI, notably in terms of rapid processing and sorting of applications, as well as task automation. Private sector companies in Morocco operating in the five sectors defined in this study face AI adoption challenges due to a lack of resources.
Machine Learning Approach for Medical Image Analysis
Authors: Rahul J K  , Dr. H. Jayamangala
Published: July 2024

Colorectal cancer, which is frequent, recognized tumors in both genders around the globe. As per the report generated by WHO in 2018, colon cancer placed in the third position, whereas 1.80 million individuals are affected. Precisely, it is the succeeding leading cancer, which is the second most common cause of cancer in females, and the third for males. The loss of control over the integrity of epidermal cells in bowel or malignancy can be the cause of colorectal cancer. An effective way to recognize colon cancer at an early stage and substantial treatment can reduce the ensuing death rates to a great extent. To perform Screening of Morphology of Malignant Tumor Cells in the colon, a Gastroenterologist may refer to cancer diagnosis tests for pathological images. In any Histology method, the process takes a significant duration of time due to infinite numbers of glands in the gastrointestinal system, which may lead to irreconcilable outcomes. By diagnosing through computer algorithms, can give practical and contributory results. Hence, accurate gland segmentation is one crucial prerequisite stage to get reliable and informative morphological image data. In this work, for colorectal cancer prediction various ML and DL algorithms are employed and compared for accuracy
X-Noiseguard Intelligent Noise Reduction for High-Fidelity X-Ray Imaging
Authors: Harish G  , Dr. H. Jayamangala
Published: July 2024

The presence of noise in images produced by medical imaging equipment is common and unavoidable. Image noise can obscure and stimulate pathology, even sometimes to the extent of making them diagnostically unusable. To minimize noise in medical images, it is essential to comprehend the sources of noise and how they occur. In this project, we have reviewed different sources of noise that are present in images produced in radiography and tomography imaging techniques, the causes, effects and the various ways that are employed in their reduction. In order to completely eliminate noise in radiological imaging systems, we recommend that detectors that are free from noise should be designed and incorporated into future imaging systems. For segmentation and classification if we need a better result we need to target a preprocessing technique which involves removal of noise. For better PSNR we will be using Gaussian filtering technique for noise removal
Diabetes Prediction using Machine Learning Algorithms
Authors: J. D. Jeevaraja  , P. Kavitha  , S. Kamalakkannan
Published: July 2024

Diabetic retinopathy (DR) is a disease that damages retinal blood vessels and leads to blindness. Usually, colored fundus shots are used to diagnose this irreversible disease. The manual analysis (by clinicians) of the mentioned images is monotonous and error-prone. Hence, various computer vision hands-on engineering techniques are applied to predict the occurrences of the DR and its stages automatically. However, these methods are computationally expensive and lack to extract highly nonlinear features and, hence, fail to classify DR’s different stages effectively. This project focuses on classifying the DR’s different stages with the lowest possible learnable parameters to speed up the training and model convergence. The VGG-16, spatial pyramid pooling layer (SPP) is stacked to make a highly nonlinear scale-invariant deep model called the VGG-16 model. The proposed VGG-16 model can process a DR image at any scale due to the SPP layer’s virtue. Moreover, the stacking adds extra nonlinearity to the model and tends to better classification. The experimental results show that the proposed model performs better
Restaurant Inventory Management System
Authors: M. Sasikanth  , Dr. D. R. Krithika
Published: July 2024

The Restaurant Inventory Management System (RIMS) is a sophisticated solution tailored to the unique needs of the food service industry. With real-time inventory tracking capabilities, RIMS enables restaurant staff to monitor stock levels accurately, ensuring timely replenishment and minimizing stockouts. Automated features streamline processes such as recipe management, cost analysis, and supplier communication, optimizing operational efficiency and reducing overhead costs. By leveraging data-driven insights, RIMS empowers restaurant owners to make informed decisions, improve profitability, and promote sustainability through effective waste reduction strategies. With its user- friendly interface and comprehensive reporting tools, RIMS revolutionizes inventory management, enhancing transparency, and driving success in the competitive restaurant landscape. Furthermore, RIMS offers scalability to accommodate the diverse needs of restaurants, from small cafes to large chains, making it a versatile and indispensable tool for modern food establishments seeking to stay ahead in an ever-evolving industry landscape
Gebel Moya (Site 100)
Authors: Vella Gregory Isabelle
Published: July 2024

Gebel Moya, officially known as Site 100, is a large agricultural-pastoral site located below the Nile’s Sixth Cataract in Sudan. It lies between the Blue Nile and White Nile in what is now a semi-desert environment. It was first excavated by Henry Wellcome in the early twentieth century and was known as a cemetery until 2017, when fieldwork was renewed by a joint international mission. Current excavations show that, in addition to being a major cemetery, the site bears traces of Mesolithic habitation. Over a period of 5,000 years the area witnessed rapid climate change, and ongoing work is focused on reconstructing the ancient flora and fauna. It is now clear that Site 100, long considered insignificant by scholars, was home to dynamic communities across the millennia.
Optimalisasi Pengelolaan dan Pemanfataan Bank Sampah Bhauma Raksha Desa Muncan dengan Penerapan Design Thinking
Authors: Alam Helmy Syakh , Dwayani Ni Kadek Sri Mas , Putra Made Wahyu Purnama , Irmayanti Ni Komang Devi , Dewi Ni Luh Arisma , Rokhimah Sayyidah Amalia
Published: July 2024

Tujuan: Studi ini bertujuan untuk mengidentifikasikan permasalahan-permasalahan yang terkait dengan pengelolaan bank sampah sekaligus menawarkan alternatif solusinya, yakni paradigma baru yang memperlakukan sampah sebagai sumber daya yang mempunyai nilai ekonomis.
Metode penelitian: Metodologi yang digunakan dalam studi ini termasuk dalam area penelitian kualitatif yang dipadukan dengan pendekatan Design Thinking yang merupakan pendekatan yang berpusat pada manusia (human centred approach).
Hasil dan pembahasan: Studi ini menghasilkan empat program yang bisa digunakan untuk mengelola bank sampah dengan lebih optimal, yakni: (1) model olahan sampah; (2) model pemberian reward; (3) tabungan online¸dan (4) model pencairan tabungan.
Implikasi: Implikasi dari studi ini adalah adanya perbaikan dan peningkatan layanan bank sampah kepada para anggotanya, yang sudah sesuai dengan kebutuhan mereka, sehingga peran anggota bisa lebih aktif, yang pada akhirnya akan memberi dampak pada penambahan penghasilan bagi anggota dan peningkatan kondisi lingkungan sekitar.
Developing Ekasari as a Sustainable Tourism Village
Authors: Ernawati Ni Made , Sanjiwani I Gusti Agung Mirah , Arjana I Wayan Basi , Mudana I Gede
Published: July 2024

Purpose: Ekasari Tourism Village in Melaya District, Jembrana Regency, has potential to conduct sustainable tourism. This research is to increase public understanding about sustainable tourism, to improve the ability of village managers in implementing a financial recording system, and to increase the application of digital marketing to managers of the Ekasari Tourism Village.
Research methods: This qualitative research is an applied research, with data collection techniques in the form of participant-observation, interviews, and document study. The data found was then analyzed using interactive techniques consisting of data reduction, presentation, and conclusion.
Results and discussion: The service activities and this research went well, marked by an increase in participants' understanding of the importance of sustainable tourism in the village as well as an increase in digital marketing skills and the use of financial recording systems.
Implication: This research directly has a positive impact on participants, especially village managers and Pokdarwis in operational activities and efforts to develop the village towards a sustainable tourism village.
Conversion of Natural Clay to Metakaolin and Zeolite Catalyst Using Hydrothermal Method
Authors: Nwosibe Patrick O. , Salami Hawuwau , Ahmadu A. A.
Published: July 2024

Metakaolin is a reactive intermediate product of natural clay(kaolin) and zeolite catalysts. Metakaolin and zeolite are a very important chemical compound that finds wide applications in many chemical and petrochemical industries. This research aimed at converting natural clay (kaolin) to metakaolin and zeolite catalysts using the hydrothermal method. The natural clay was sourced from Alkareri in Bauchi State, Nigeria. The raw kaolin was first characterized (XRF, XRD) after gotten from the source. 200g of kaolin was beneficiated to reduce the particle size and remove impurities. Thereafter the beneficiated kaolin was calcinated at 850oC for 2 hours to form metakaolin. The metakaolin formed was also subjected to physiochemical analysis (XRD, XRF). Results of the XRD analysis shows that the crystalline peak at 2θ is obtained at 13.1°, 20.4°, 25 and 30.90°. 20g of metakaolin was then mixed with 15g of sodium silicate and 7.5g of NaOH to form a gel. The gel was left to age for 7 days, the crystals was washed with deionized water, and dried to get the final zeolite. The synthesized zeolite was characterized using various techniques, including X-ray diffraction and scanning electron microscopy, to elucidate its crystalline structure and morphology. The XRD results showed that the active peak achieves tailored zeolite-Y structures with enhanced catalytic properties at 2θ equals 6.09°, 12.35°, 20.04°and 30.90 BET results a show surface area of 650. 162m2/g, pore volume 0.320cc/g and pore diameter 2.105. The SEM result shows clearly the morphology of a zeolite particle typical of zeolite -Y or X. The findings contribute to the development of efficient catalysts for crucial hydrocarbon transformation processes.
Proteus Simulation and Implementation of an Arduino Mega-Based Motion Detection Alarm System
Authors: Baffour Kwabena Asare , Ampem Isaac A. , Arkorful Isaac P. K.
Published: July 2024

Security is of paramount importance in this modern world, as it provides protection for human life and property from criminals. Lack of proper security has resulted in sexual harassment of innocent women, many deaths, and theft of large sums of money and property. This project therefore seeks to design a motion detection alarm system using a microcontroller that will help reduce the percentage of burglaries and minimize the menaces or challenges associated with a lack of proper security. Motion detection was accomplished with the help of the passive infrared (PIR) sensor, which has a “field of view” angle of 110 ̊ and measures thermal infrared radiation emitted from the human body. The Arduino Mega 2560 microcontroller board was programmed using the Arduino IDE software to continuously monitor the PIR sensor’s output and enhance motion detection by activating an LED or triggering the piezo buzzer. Additionally, the designed circuit was simulated using the Proteus 8.2 design suite, and a prototype was built to confirm its functionality. The obtained results indicate that the motion detection system successfully responds to changes in the PIR sensor’s output. Overall, this motion detection alarm system is efficient, cost-effective, and enhances security measures.
Keratoconus: imaging modalities and management
Authors: Alqudah Noor
Published: July 2024

Background: Keratoconus (KCN) is characterized by gradual thinning and steepening of the cornea, which can lead to significant vision problems owing to high astigmatism, corneal scarring, or even corneal perforation. The detection of KCN in its early stages is crucial for effective treatment. In this review, we describe current advances in the diagnosis and treatment of KCN.
 
Methods: This narrative review focuses on recent advancements in the diagnosis and treatment of KCN, especially evolving approaches and strategies. To ensure the inclusion of the most recent literature, relevant publications discussing advanced imaging techniques and treatment options for KCN were extensively gathered from the PubMed/MEDLINE and Google Scholar databases. The following index terms and keywords were used for the online search: keratoconus, diagnosis of keratoconus, advances in the diagnosis of keratoconus, topography or tomography, anterior segment optical coherence tomography, treatment of keratoconus, advances in the treatment of keratoconus, collagen crosslinking, intrastromal ring, keratoplasty, and new techniques in keratoconus.
 
Results: Various screening methods such as corneal topography, tomography, anterior segment optical coherence tomography, and assessment of corneal biomechanics have been developed to identify KCN in its early stages. After diagnosis, KCN management focuses on preventing disease progression. Corneal collagen crosslinking is a minimally invasive treatment that can slow or stop the progression of the condition. Recent research has also explored the use of copper sulfate eye drops (IVMED-80) as a noninvasive treatment to prevent the progression of KCN. Current treatment options for visual improvement include scleral lenses, intracorneal ring segments, corneal allogeneic intrastromal ring segments, and deep anterior lamellar keratoplasty. Recently, novel alternative procedures, such as isolated Bowman layer transplantation, either as a corneal stromal inlay or onlay, have demonstrated encouraging outcomes. Artificial intelligence has gained acceptance for providing best practices for the diagnosis and management of KCN, and the science of its application is contentiously debated; however, it may not have been sufficiently developed.
 
Conclusions: Early detection and advancements in screening methods using current imaging modalities have improved diagnosis of KCN. Improvement in the accuracy of current screening or diagnostic tests and comparison of their validities are achievable by well-designed, large-scale, prospective studies. The safety and effectiveness of emerging treatments for KCN are currently being investigated. There is an ongoing need for studies to track progress and evaluate clinicians’ knowledge and practices in treating patients with KCN. Artificial intelligence capabilities in management approach considering the currently available imaging modalities and treatment options would best benefit the patient.
Las elecciones "libres", otra vez...
Authors: I.L.V.
Published: July 2024

No abstract available.
ECA Estudios Centroamericanos, Vol. 36, No. 389, 1981: 183-185.
Future of Gender and Gender Equality Online
Authors: Lagrange Babette , Van Bauwel Sofie , Biltereyst Daniel , Cannizzaro Sara , Toms Justine , Agca Yasemin , Andersson Ingrid , Bjorner Emma , Karadimitriou Achilleas , Odstrcilova Klara , Papathanassopoulos Stylianos , Risi Elisabetta , Latronico Valentina
Published: July 2024

The emergence and growth of the internet and social media platforms have engendered significant transformations in everyday life, affecting not only society’s most innermost life but also its structural organization. This digital realm impacts gender equality, giving rise to spaces for feminist community building and activism, but at the same time enabling online gender harassment and violence. Our aim was to construct possible scenarios of the future, focusing on foreseeable consequences of social media on gender (in)equality in Europe. Using the Delphi+ method, we generated diverse future scenarios envisioning the intersection of gender and social media platforms. Through an analysis of these scenarios, we identified three recurring themes situated on a continuum from utopian to dystopian perspectives, including various positions in relation to the question of social media as safe or unsafe spaces. This study then provides us with possible imaginaries in relation to gender and social media platforms.
Futures of algorithms and choices
Authors: Hroch Miloš , Kompatsiaris Panos , Grassmuck Volker , Moreno José , Peschke Lutz , Jirák Jan , Poddar Debashmita
Published: July 2024

The increasing impact of algorithmically driven processes on human societies, which can exacerbate political, economic, and cultural asymmetries, raises questions about reducing human agency by constraining platform structures. We draw on the theoretical concept of algorithmic imaginary, which captures users’ appropriations and ideas of these processes. In this paper, we focus on the dynamics between agency and structure in algorithmic imaginaries regarding the future of digital media platforms in Europe. The paper takes structuration theory as a theoretical starting point and employs methods of futures studies to analyze how the future is constructed in scenarios developed by a diversity of experts participating in a series of workshops. The future scenarios analysis is mapped around four actors, namely platform users, platform corporations, algorithms and institutions. By considering the role of various actors, particularly institutions, and their interdependencies this paper contributes to more balanced conceptualizations of algorithmic imaginaries, which tend to be centered around users’ perspectives.
Inhibidores de los glucotranportadores sodio-glucosa: más allá del control glucémico
Authors: Jiménez Montero José Guillermo
Published: July 2024

Ciertos compuestos derivados de la floresina extraídos de la corteza de los manzanos eran conocido desde 1835 por su efecto glucosúrico y por su capacidad para disminuir las reservas de glucógeno hepático en perros. Sin embargo, estas sustancias eran tóxicas por lo que no se desarrollaron como estrategias terapéuticas por un largo periodo. Su potencial farmacológico resurgió el siglo pasado y como resultado se obtuvieron derivados seguros de la floresina, recientemente conocidos como los inhibidores de los gluco-transportadores sodio-glucosa (iSGLT-2). En la actualidad se dispone de varios iSGLT-2.
Implicaciones operativas de la resolución espacial de imágenes de drones en el mapeo de la vegetación para el manejo forestal
Authors: Ordóñez-Prado Casimiro , Valdez-Lazalde José René , Flores-Magdaleno Héctor , Ángeles-Pérez Gregorio , Santos-Posadas Héctor M. de los , Buendía-Rodríguez Enrique
Published: July 2024

Introducción. Los drones aportan imágenes de alta resolución espacial para el seguimiento de la dinámica de la vegetación en bosques bajo manejo forestal; sin embargo, existen dudas sobre la forma más eficaz de utilizarlas con respecto a la resolución espacial.
Objetivo. Determinar la resolución espacial más apropiada de las imágenes multiespectrales obtenidas por drones, para mapear los tipos de cobertura del suelo en bosques templados bajo manejo forestal de Hidalgo, México.
Materiales  y  métodos.  Las  imágenes  espectrales  se  preprocesaron  en  resoluciones  espaciales  desde
0.2 hasta 2.5 m, a intervalos de 0.1 m. La cobertura de pinos, encinos, otras latifoliadas, herbáceas y suelo desnudo se clasificaron con el algoritmo Random Forest. El efecto de la resolución espacial en la clasificación de la cobertura terrestre se evaluó mediante la prueba no paramétrica de Kruskal-Wallis seguida de una comparación post-hoc Mann-Whitney-Wilcoxon (P < 0.05). Los errores de clasificación de las clases de cobertura se analizaron gráficamente.
Resultados. Las imágenes de 0.2 m de resolución espacial proporcionaron la mayor precisión de clasificación de la cobertura del suelo (96 %), pero fue estadísticamente similar que la de 0.7 m (P = 0.3984). La precisión más baja (82 %) se obtuvo con imágenes de 2.5 m de resolución espacial. Los errores de omisión y comisión fueron menores y constantes en las clasificaciones con imágenes de resolución espacial de 0.2 a 1.2 m.
Conclusión. Las imágenes multiespectrales (0.7 m de resolución), adquiridas con un dron de ala fija, permitieron la clasificación precisa de los tipos de cobertura y la distribución espacial exacta de pinos, encinos y otras especies de latifoliadas de un bosque templado bajo manejo forestal.
The Biography of a Writer as an Argument in (De)Canonisation
Authors: Satkauskytė Dalia
Published: July 2024

Despite the conception of the author’s death that was prevalent in the second half of the 20th century, the author’s biography always intervenes indirectly in the canonisation process, either a priori, as an additional argument for canonisation (e.g. participation in the national movement), or a posteriori, when the canonised author acquires, according to Yuri Lotman, the right to a biography. Moreover, biography becomes a significant factor in cases of revising and rewriting the canon, especially when it is related to political changes in society, e.g. in forming a Socialist Realist canon or the case of its radical deconstruction. The focus on biographical texts and authors’ biographies increases significantly in the 21st century, when literature itself tries to erase boundaries between fictional and biographical, and literary scholars discuss whether it is possible to separate the author from his or her work in the contexts of the historical memory and cancel culture. In this theoretical and historical framework, I discuss the role of the biography in the canonisation and decanonisation of a writer, and consider how these processes and the shift in the cultural paradigm influence interpretations of writers’ biographies.
The #Endsars Movement and the Reshaping of Political Discourse in a Digital Age: A Nigerian Case Study
Authors: Oghogho Maryjane Y. , Osazuwa Dr. O.M.C
Published: July 2024

Social media has become a powerful tool for activism, enabling movements like #EndSARS to advocate for human rights and social justice. This paper examines the impact of social media on the #EndSARS movement in Nigeria, focusing on how it empowered activists, raised awareness about police brutality, and promoted freedom of expression. Drawing on existing literature and empirical data, the study analyzes the role of social media in mobilizing support, documenting human rights abuses, and pressuring the government to address systemic issues within law enforcement. The findings highlight the positive influence of social media in amplifying marginalized voices, fostering global solidarity, and driving meaningful change. By leveraging platforms like Twitter and Instagram, the #EndSARS movement galvanized public support, attracted international attention, and contributed to disbanding the Special Anti-Robbery Squad (SARS). The paper also explores the challenges faced by social media activism, including the spread of misinformation, government crackdowns on online dissent, and the digital divide that limits inclusivity in movements. In conclusion, the study underscores the importance of promoting digital literacy, advocating for digital rights, and addressing social media activism’s limitations to enhance future advocacy efforts’ effectiveness. By understanding the implications of social media activism for human rights advocacy in Nigeria and beyond, this research contributes to the ongoing discourse on the role of digital platforms in advancing social justice causes and holding governments accountable.
ANALISIS KUALIATS PELAYANAN KESEHATAN PADA UPT PUSKESMAS CITERAS KAB. GARUT
Authors: Intan Permata Sari  , Aris Rinaldi
Published: July 2024

Puskesmas, as one of the district/city technical service implementation units, strives to meet all of the community's needs, wants, and aspirations via the provision of high-quality public services. Having said that, it's terrible that some community health facilities still provide subpar care. Using a qualitative technique, this research employs descriptive research. The Citeras Health Center medical staff, community health center officers, and community members who have visited the center as patients are the sources of data used in this study. Interviews, eyewitness accounts, and written records were the means of information gathering. This study's findings support the claim that Citeras Community Health Center provides excellent medical care. Nevertheless, the Cietras Community Health Center's service is poor due to several issues. Lack of public knowledge, insufficient infrastructure and facilities (including X-ray and laboratory capabilities), and occasionally out-of-stock medications (which patients must redeem at the pharmacy) are all obstacles that impede patients' ability to receive treatment.
Keywords : Quality of Service, Health, Health Centers
Analisis Strategi Pemasaran UMKM Cendol Sonia dalam Meningkatkan Volume Penjualan di Denpasar
Authors: Luhung Aulya Rahman Adi , Hartini Ni Made
Published: July 2024

This study aims to determine the marketing strategy used by UMKM Cendol Sonia in increasing sales volume. The data analysis technique used in this study is a descriptive analysis technique using SWOT analysis. The data analysis method used in this research is descriptive with a qualitative approach. The method used is to analyze the internal environment (strengths and weaknesses) and external (opportunities and threats). Based on the results of research on marketing strategy analysis in increasing sales volume of UMKM Cendol Sonia using SWOT analysis it shows that the company is in quadrant I which supports aggressive growth policies (growth oriented), this can be seen from IFAS with a score of 3.67 and EFAS with a score 3.51. To increase the sales volume of UMKM Cendol Sonia, they can implement Market Development, Market Penetration and Product Development.
Peningkatan Kinerja Karyawan yang didasarkan pada Komitmen Organisasi, Beban Kerja dan Kepuasan Kerja pada PT. Bagoes Balindo Jaya Gianyar Bali
Authors: Vipraprastha Tiksnayana , Putra Bagus Nyoman Kusuma
Published: July 2024

The aim of this research is to find out whether organizational commitment, workload and job satisfaction influence the performance of PT Bagoes Balindo Jaya Gianyar Bali employees. Samples were collected using saturated sampling techniques, totaling 63 respondents. The data analysis technique used in this research is multiple linear regression analysis. The research results show that: (a) there is a significant and positive influence between organizational commitment on employee performance, (b) there is a significant and negative influence between workload on employee performance and (c) there is a significant and positive influence between job satisfaction on employee performance.
Pengaruh Karakteristik Individu dan Karakteristik Pekerjaan terhadap Kinerja Karyawan PT. TUNAS ARTHA GARDATAMA Bali
Authors: Tarviani Alfi , Sujadi Dewiwati
Published: July 2024

The purpose of this research is to assess the impact of individual and job factors on employee performance. This study is being conducted at PT. Tunas Artha Gardatama Bali. In this study, data was gathered by observation, questionnaires, and interviews. The population consists of employees at PT. Tunas Artha Gardatama Bali, with as many as 40 respondents drawn from the overall workforce population. In this study, descriptive statistical analysis, data instrument test, classical assumptions, multiple linear regression, t test, determination, and beta coefficient were utilized as data analysis approaches. According to the study's findings, individual qualities have a favourable and substantial effect on employee performance.Job characteristics have a positive and considerable impact on employee performance; job characteristics and individual characteristics have a 55.4% influence on employee performance, with individual characteristic factors having a more dominating influence. Researchers in this study can advise PT. Tunas Artha Gardatama Bali to provide work that is appropriate for employees' abilities, provide work that can be completed within working hours, always supervise employees at work, so that later employees try to do work in accordance with procedures, and routinely provide training to employees, so that later employees are able to complete work within the specified timeliness.
A IMPORTÂNCIA DA APLICAÇÃO DO MÉTODO DE SALA DE AULA INVERTIDA NO ENSINO
Authors: Barros Camilla Rayza dos Santos , Souza Rafaella Gonçalves de , Martins Jullia Ingrid Rodrigues , Carvalho Glaucia Lemes de , Ribeiro Juliana Vila Verde
Published: July 2024

O presente trabalho teve por finalidade apresentar a importância da inserção do método de sala de aula invertida no ensino. Ao analisar o cenário contemporâneo nota-se que é essencial que haja mudanças na forma de repassar o conteúdo aos alunos. O método tradicional por anos criou-se a imagem do professor como um mero transmissor de conhecimento, sendo o aluno um genuíno ouvinte e executor de atividades extraclasses, deixando de receber o conteúdo de forma eficaz. Ao pensar por outra perspectiva o ensino almeja transformação, deste modo foi criado o método de sala de aula invertida para que o aluno tenha contato com o conteúdo antes mesmo do professor repassá-lo, podendo por menorizar a matéria de modo categórico, expondo aos colegas, produzindo apresentações, elaborando projetos e realizando exercícios com o auxílio do orientador, resultando a fixação da matéria de forma rápida e produtiva.
Measurement report: Effects of transition metal ions on the optical properties of humic-like substances (HULIS) reveal a structural preference – a case study of PM2.5 in Beijing, China
Authors: Qin Juanjuan , Zhang Leiming , Qin Yuanyuan , Shi Shaoxuan , Li Jingnan , Shu Zhao , Gao Yuwei , Qi Ting , Tan Jihua , Wang Xinming
Published: July 2024

Abstract. Humic-like substances (HULIS) are complex macromolecules in water-soluble organic compounds (WSOCs) containing multiple functional groups, and transition metal ions (TMs) are ubiquitous in atmospheric particles. In this study, potential physical and chemical interactions between HULIS and four TM species, including Cu2+, Mn2+, Ni2+, and Zn2+, were analyzed by optical method under acidic, weakly acidic, and neutral conditions. The results showed that Cu2+, Mn2+, and Zn2+ only slightly enhanced mass absorption efficiency (MAE365) of HULIS in winter and had indiscernible effects on the absorption Ångström exponent (AAE) of HULIS in both seasons under all acidity conditions. All four TMs had fluorescence quenching effects on winter HULIS, and only Cu2+ had similar effects on summer HULIS, with the highest quenching coefficients found under weakly acidic conditions in both seasons. The 1H-nuclear magnetic resonance (1H-NMR) and Fourier-transform infrared (FTIR) spectra revealed that Cu2+ mainly bound with aromatic species and tightened the molecule structures of HULIS. The parallel factor analysis (PARAFAC) results extracted four components of HULIS, including low-oxidized humic-like substances (C1), N-containing compounds (C2), highly oxidized humic-like substances (C3), and the mixing residuals (C4), from the fluorescence spectra in both winter and summer. The spectral characteristic of HULIS with Cu2+ additions under three acidity conditions indicated that electron-donating groups of HULIS mainly corresponded to C1 and C3, with Cu2+ binding with HULIS by replacing protons, while electron-withdrawing groups of HULIS could correspond to C2, with its connection with Cu2+ through electrostatic adsorption or colliding-induced energy transfer.
Mid-field tsunami hazards in greater Karachi from seven hypothetical ruptures of the Makran subduction thrust
Authors: Hasan Haider , Lodhi Hira Ashfaq , Ahmed Shoaib , Khan Shahrukh , Rais Adnan , Rafi Muhammad Masood
Published: July 2024

Abstract. New Makran simulations imply two generalized zones of mid-field tsunami hazard in greater Karachi. The simulations presuppose seven megathrust ruptures that strike east-west, range in area from 100 × 150 km to 355 × 800 km, and lie west of the city by no less than 100 km. The assumed seismic slip is uniform across each rupture area. The smallest rupture approximates the 1945 Makran earthquake of magnitude 8.1, while the largest corresponds to a previously conjectured giant Makran earthquake of magnitude 9.2. None of the sources include a complication in 1945: late-arriving waves from submarine slides or splay faulting. Consequently, the first simulated wave is the largest in each of the seven scenarios. And because the sources are to the west, the simulated waves are higher, and arrive sooner, at Karachi Port (1.5 hr) than 30 km farther east at Port Qasim (nearly 3 hr). These combinations of height and arrival time can be generalized as properties of two hazard zones: a western one that includes Karachi Port, and an eastern one that includes Port Qasim. The simulated flooding extends farthest inland into low-lying residential areas of the western zone. Neither hazard zone is near-field or far-field. That is, neither is near enough to the fault ruptures for felt seismic shaking to dependably warn of a fast-arriving tsunami, yet neither is distant enough to receive more than three hours of advance notice through tsunami warning systems. Our simulations are intended to support emergency management in this mid-field setting.
Quantifying hazard resilience by modeling infrastructure recovery as a resource-constrained project scheduling problem
Authors: Johnson Taylor Glen , Leandro Jorge , Ahadzie Divine Kwaku
Published: July 2024

Abstract. Reliance on infrastructure by individuals, businesses, and institutions creates additional vulnerabilities to the disruptions posed by natural hazards. In order to assess the impacts of natural hazards on the performance of infrastructure, a framework for quantifying resilience is presented. This framework expands upon prior work in the literature to improve the comparability of the resilience metric by proposing a standardized assessment period. With recovery being a central component of assessing resilience, especially in cases of extreme hazards, we develop a recovery model based upon an application of the resource-constrained project scheduling problem (RCPSP). This recovery model offers the opportunity to assess flood resilience across different events and also, theoretically, between different study areas. The resilience framework and recovery model have been applied in a case study to assess the resilience of building infrastructure to flooding hazards in Alajo, a neighborhood in Accra, Ghana. For the three flood events investigated (5-, 50-, and 500-year return periods) and the chosen standardized assessment period (300 d), the “300 d resilience” successfully shows a meaningful decreasing trend (0.94, 0.82, and 0.69) with increasing hazard magnitude. This information is most valuable for identifying the vulnerabilities of building infrastructure, assessing the impacts resulting in reduced performance, coordinating responses to flooding events, and preparing for the subsequent recovery. This framework expands upon prior work in the literature to improve the comparability of the resilience metric by proposing a standardized assessment period, the “n-time resilience”.
Surface dynamics and history of the calving cycle of Astrolabe Glacier (Adélie Coast, Antarctica) derived from satellite imagery
Authors: Provost Floriane , Zigone Dimitri , Le Meur Emmanuel , Malet Jean-Philippe , Hibert Clément
Published: July 2024

Abstract. The recent calving of Astrolabe Glacier on the Adélie Coast (East Antarctica) in November 2021 presents an opportunity to better understand the processes leading to ice tongue fracturing. To document the fractures and rift evolution that led to the calving, we used the archive of Sentinel-2 optical images to measure the ice motion and strain rates from 2017 to 2021. The long-term evolution of the Astrolabe ice tongue is mapped using airborne and satellite imagery from 1947 to November 2021. These observations are then compared with measurements of sea-ice extent and concentration. We show that calving occurs almost systematically at the onset of or during the melting season. Additionally, we observe a significant change in the periodicity of sea ice surrounding Astrolabe Glacier in the last decade (2011–2021) compared to previous observations (1979–2011), which has resulted in a change in the Astrolabe calving cycle. Indeed, one can observe a decrease in the duration of sea-ice-free conditions during the austral summers after 2011 in the vicinity of the glacier, which seems to have favoured spatial extension of the ice tongue. However, the analysis of strain rate time series revealed that the calving of November 2021 (20 km2) occurred at the onset of sea-ice melting season but resulted from the glacier dislocation that took place suddenly in June 2021 in the middle of the winter. These observations indicate that while sea ice can protect and promote the spatial extension of a glacier ice tongue, its buttressing is not sufficient to inhibit rifting and ice fracturing.
Studi Pengaruh Pembebanan Terhadap Kinerja Motor Pompa 1 Fasa Pada Filter Air
Authors: Dibyo Setiawan  , Jakariya  , Bella Eliana  , Rani Anggrainy
Published: July 2024

Clean, adequate, and safe water is a fundamental necessity for every household in Indonesia. Only 21% of households have access to clean water. The community's sources of clean water are mainly bore wells, and the quality of this bore well water varies. In the city of Bandung, filtration media is utilized to make the water suitable for consumption. However, the use of filtration media reduces the performance of single-phase motor pumps. The research aims to examine the performance of single-phase motor pumps in terms of electricity consumption and the discharge of water under different load conditions. The research method employed is experimental, involving measurements under both zero load and full load conditions. The results of this study show that the voltage without load is measured at 220 V, increasing to 230 V under full load, indicating a 4.54% increase from the unloaded condition. Furthermore, there is an increase in current when the load is zero, measured at 1.04 A, but under full load, it rises to 1.29 A, representing a 24% increase. This value is still below the motor's maximum current of 1.8 A, categorizing it as normal. Additionally, the water discharge decreases by 55% from 22.2 l/min under zero load testing to 10 l/min. The use of water filtration media is a solution for treating unfit bore well water. However, on the other hand, it increases electricity consumption and reduces the discharge of water that can be distributed.
Analysis of Frame Strength in Coffee Bean Roasting Machines Using the Finite Element Method
Authors: Hartono Reonald , Halimi Ahmad Dzukfikri , Asmawan Mohammad Dahrul , Wahyudi Irfan , Pratama Oky Eliksandyca Satriya , Sektiono Moch. Wisnu Arif
Published: July 2024

Indonesian coffee production is a commodity in both domestic and international markets.The quality of coffee products is influenced by the degree of maturity of the coffee beans duringthe roasting process. To improve the quality of coffee beans from the roasting process, aroasting machine is needed to produce large coffee beans. The reliability of a coffee roastingmachine takes into account the strength of the machine frame to support the load of the systemcomponents and the mass of the coffee beans. Finite element analysis was used to model theframe of the coffee bean roasting machine using Solidwork 2021 Student Version software. Theframe of the coffee bean roasting machine is made of ASTM A36 material with a square hollowsection (30 mm × 30 mm) and a thickness of 1.2 mm. Meanwhile, the frame dimensions of thecoffee roasting machine are (1300 × 560 × 250) mm3. The research was conducted bydesigning and simulating a coffee roasting machine frame with different coffee bean massvariations to determine von Mises stress, displacement and safety factor. When the coffee beanmass fluctuates from 5 kg to 12.5 kg per 2.5 kg increase, the von Mesis stress on the frame ofthe coffee bean roasting machine is ~ 60 with a displacement value of ~ 0.8 mm. For a varietyof coffee beans, the frame of the coffee bean roasting machine is considered safe because thesafety factor value is ~5.