bluuebunny/crossref_metadata_2025 huggingface dataset:
¿Las pinzas de metal fueron empleadas exclusivamente como depiladores en los Andes Centrales?
Authors: Vetter Parodi Luisa , Barraza Lescano Sergio
Published: May 2024

In the central Andean territory, tweezers have been made from metals since the Early Horizon period (800-200 B.C.). In pre-Hispanic funerary contexts, they are usually associated with males and were long thought to be used mainly for hair removal since that is how they appear in colonial written and iconographic sources and on pre-Hispanic ceramics. However, significant evidence allows us to verify multiple uses. This article reviews cases reported in the archaeological bibliography and museum records where tweezers are connected to several functions, including textiles, fishing, facial cleansing and, possibly, pre-Hispanic metallurgy. Likewise, we present ethnographic data and primary sources on tweezer use. This data contributes to understanding their various functions and meanings.
Endophytic Microbial Diversity, Heavy Metal Accumulation, and Antimicrobial Properties of Avicennia marina from Saudi Arabia
Authors: Abdellatif Muaz Magzob , Arafat Hussam H.
Published: May 2024

This study comprehensively examined the Avicennia marina plant, a key species along the Red Sea coast of the Saudi Arabian Kingdom, focusing on its microbial, biochemical, and ecological aspects. Specimens, including leaves, seeds, and seedlings of Avicennia marina plant, were collected during the summer of 2021 from two distinct mangrove-abundant regions in Yanbu Governorate, Kingdom of Saudi Arabia. Analysis of the plant revealed significant heavy metal concentrations in its sediment, leaves, and seeds, with the sediment from region 1 recording metals such as Cr (40.202 ppm) and Se (30.522 ppm). Additionally, the plant’s extracts exhibited notable antimicrobial properties, inhibiting growth of several pathogenic bacteria, with ethyl acetate extracts from leaves being especially potent against strains like P. aeruginosa and S. aureus. Moreover, from the leaves collected in the Yanbu region, 10 unique endophytic bacterial species were identified. Utilizing genomic analysis tools, two of these bacteria were closely characterized, revealing more than 99% similarity to known bacterial species; Mixta and Cytobacillus species, emphasizing the microbial diversity within the mangrove leaves. In sum, Avicennia marina emerges as ecologically significant, with potential implications for bio-remediation and antimicrobial applications, and as a reservoir of diverse microbial species. With mounting global challenges, such as climate change, understanding these microbial-plant interactions is pivotal for both conservation and biotechnological pursuits in the future.
Comparative Study of Biofilm and Non-Biofilm Producing Klebsiella pneumoniae with Special Reference to Metallo-Beta-Lactamase Production
Authors: Pawar Prajakta S. , Pawar Satyajeet K. , Patil Satish R. , Patil Harsha V. , Mane Priyanka M.
Published: May 2024

Klebsiella pneumoniae is one of the most common bacteria among all biofilm-producing as well as the beta-lactamase producing strains, which is responsible for multi-drug resistance. For better therapeutic applications, it is important to detect the biofilm production by Klebsiella pneumoniae and their antibiogram along with the ability to produce ESBL, MBL, and AmpC β-lactamases. The aim of the study was to determine the prevalence of biofilm formation and ESBL, MBL, AmpC β-lactamase phenotypes in K. pneumoniae as well as the antibiogram of all (biofilm and MBL-producing and non-producing) isolates of K. pneumoniae. Isolates of K. pneumoniae were tested for biofilm formation by the Congo-red agar method. ESBL, MBL, and AmpC β-lactamase detection were done by both screening and confirmatory tests as per CLSI guidelines. The antibiogram was obtained by the Kirby-Bauer disc diffusion method. Among the total 100 isolates of K. pneumoniae, 40% were biofilm-producing. Most of them were from urine specimens. Out of biofilm-producing isolates, ESBL – 28%, MBL- 47% and AmpC β-lactamase- 25.8% producers were observed. K. pneumoniae isolates were seen to have maximum resistance to ceftazidime and maximum sensitivity to nitrofurantoin. Study findings suggest the importance of assessment of biofilm formation for better treatment. The scenario further worsens if such biofilm-producing isolates are also MBL-positive leading to limited therapeutic options.
SMART Irrigation Robot
Authors: B Prof. Hiranwale. S. , Shrushti Ghodke , Neha Sapre , Shital Jadhav , Smita Godase
Published: May 2024

Abstract: Smart irrigation robots are solutions for today's agriculture that solve water management, work efficiency and crop quality problems. This autonomous robotic system combines advanced technology, sensors, artificial intelligence and precision robots to revolutionize the irrigation process. This content highlights the key features and advantages of smart water users. The robot uses a network of soil moisture sensors and weather data to make real-time, data-driven decisions about when and how much to harvest. Using smart algorithms, irrigation strategies can be tailored to specific crop types and growth stages to ensure efficient use. Operating costs. It also promotes sustainability and environmental protection by reducing water waste by providing the required amount of water where and when it is needed.
Classification & Detection of Banknotes Using Machine Learning
Authors: Rajitha Mrs. A.
Published: May 2024

Abstract: The only valuable resource in our country is bank currency, which is why money launderers inject fake notes that mimic genuine notes into the financial system to create imbalances. When the market is demonetized, there is a discernible quantity of counterfeit money floating about. In most cases, a human cannot easily tell the difference between a genuine note and a counterfeit one, even when many of the features of a counterfeit note are the same. Automated systems must beaccessible at banks or ATMs in order to identify bank currency authenticity. Since counterfeit banknotes are meticulously crafted, an effective algorithm that can determine whether a note is real or false must be createdin order to create such an automated system. In this study,we use a dataset from the UCI machine learning repository to apply the CNN algorithm. In order to put this into practice, we used machine learning algorithms and evaluated how well they performed using a range of quantitative analytical metrics.
Development of Rammed Earth Wall Panels
Authors: Gharjare Amit
Published: May 2024

Abstract: Cutting edge engineers commit cautious consideration to the environment of a extend and think about authentic building strategies they can make more feasible structures. Rammed-earth development is a warm mass structure which cools the internal spaces of house amid hot, summers and keeps warm amid winters. It is a noteworthy building strategy ancient of approximately 2,000 a long time, and the strategies of local specialists offer recommendations as to how cutting edge engineers can effectively apply the method.
IDSUML: Intrusion Detection System Using Machine Learning
Authors: Makode Miss. Roshni R.
Published: May 2024

Abstract: Network and system security is essential to modern digital communication. There will be multiple successful attempts by hackers and other intruders to obtain illegal access to networks and internet services. The development of secure systems is continuously accompanied by new dangers and the corresponding responses. Using intrusion detection systems (IDS) is one choice. An intrusion detection system. Main objective is to safeguard its resources from possible dangers. These acts are categorized as either potential or conventional attacks since it is capable of analysing and forecasting user behaviour. To find network intrusions, we typically employ Support Vector Machines (SVM) and Rough Pure Mathematics (RST). RST is used to preprocess and decrease the amount of data when packets are retrieved from the network. The RST-selected options provided to the SVM model enable it to provide many views and an explanation. A good application of the approach is to reduce the density of knowledge in a certain field. By comparing the data with Principal element analysis, the experiments show how RST and SVM schema may lower the false positive rate and increase accuracy (PCA)
Real Time Threat Intelligence System for Malware Detection
Authors: Patil Chetana
Published: May 2024

Abstract: We introduce a framework that represents real-time threat intelligence, a Python Project employing techniques for machine learning and behavioral analysis to quickly identify potential malware in scanned documents. The system integrates behavioral analysis for the purpose of detecting malware to improve security with machine learning, continuously evaluate new data, identify risks and isolate suspicious information. When an unsafe file is detected, the user interface will display the corresponding message
Personalized Weather Station
Authors: Lambor Shilpa
Published: May 2024

Abstract: This research outlines the conception, design, and implementation of a personalized weather monitoring system integrating multiple sensors for comprehensive environmental data collection. The project aims to create a sophisticated weather station utilizing the DHT11 sensor for temperature and humidity measurements, MQ135 sensor for gas detection, dust sensor for particulate matter assessment, and rain sensor for precipitation detection. The system's architecture incorporates Esp32-based data acquisition, employing sensor interfacing and data processing to obtain real-time environmental parameters. The project's significance lies in providing localized, accurate, and immediate weather insights beyond the capabilities of conventional smartphone applications.
Moneymate: A Finance Application
Authors: Rajput Vaishali
Published: May 2024

Abstract: Moneymate stands as a comprehensive finance application, simplifying personal finance management with ease and precision. It meticulously tracks daily expenditures, offering insightful visuals and categorizes expenses for effortless analysis of spending patterns. Serving as a centralized hub for financial information, it provides real-time updates on assets and currency values relative to the Indian Rupee, aiding informed decisions on investments and transactions. Beyond mere tracking, Moneymate empowers users with tools for goal setting, savings budgeting, and income optimization, fostering a proactive approach to financial planning. Personalized insights and actionable recommendations further enhance its utility in financial decision-making. With a user-friendly design and powerful functionalities, Moneymate transforms the landscape of personal finance management, simplifying tasks such as daily spending, asset management, currency conversion, and income tracking. Its holistic approach makes it an indispensable companion for individuals seeking control and empowerment over their financial health.
Understanding Urbanization Patterns and Demographic Shifts in Vaniyambadi Town: A Spatial Approach
Authors: P Prathap. , R Rangarajan. , N Sudhan Srinivas
Published: May 2024

Abstract: During the last several decades, the urbanization trends in worldwide push the people into the urban areas due to large number of opportunities i.e., educational, employment, better quality of life, and land use in these areas experienced significant changes and restructuring. This paper delves into the nuanced interplay between demographic shifts and the spatial structure of urban settings, employing Vaniyambadi Town as a case study. Through a combination of demographic analyses, spatial modelling, and field surveys, we systematically explore the transformations in population dynamics and its impact in the spatial structure of the town. Based on a site survey, this paper analyses the spatial characteristics of land use change in Vaniyambadi town. The results reveal a reduction in agricultural land from 44% in 1984 to 24.62% in 2023 and further to 14.76% in 2043. This reduction is primarily attributed to population growth, the establishment of settlements, mixed residential usage, and has led to a significant loss of cultivated land, indicating increasing land scarcity in the future.
Real Time Emotion Based Music Player
Authors: Kaimal Janhavi , Taskar Payal , Patil Pallavi , Mane Pranita
Published: May 2024

Abstract: In this paper, we present the development and implementation of an Emotion-based Music Player System utilizing facial emotion data, Convolutional Neural Networks (CNN), Flask, OpenCV for face detection, and Spotify API for music playlist integration. The system aims to provide users with personalized music recommendations based on their current emotional state, detected through real-time analysis of facial expressions. The proposed system consists of several key components, including data collection, preprocessing, CNN algorithm implementation for emotion classification, integration with Flask for web application development, and real-time emotion detection using OpenCV. The trained CNN model is capable of accurately classifying emotions such as anger, disgust, fear, happiness, neutrality, sadness, and surprise. Results from the implementation demonstrate the system's effectiveness in accurately detecting emotions from facial expressions and providing corresponding music recommendations. The CNN model achieved a final accuracy of 62.44% after 10 epochs of training. Realtime emotion detection using OpenCV successfully identifies facial expressions, allowing for dynamic adjustments to the music playlist. Overall, the Emotion-based Music Player System presents a novel approach to enhancing user experience by leveraging facial emotion data and advanced machine learning techniques to deliver personalized music recommendations tailored to individual emotional states.
Voice based E-Mail System
Authors: Daphal Diksha , Kokare Komal , Tavare Priyanka , Ladkat Pallavi , Pandhare Prof. Sachin D.
Published: May 2024

Abstract: The development of computer systems has made communication much simpler. Many communication features, like texting and voice calling, are available on a mobile device. We have put forth a system that will benefit people with physical disabilities. This utility allows voice to text conversion as well as text to voice conversion. With the help of this technology, we won't be able to access anything at all using keyboards—we'll only be able to utilise speech and mouse clicks. This system is also accessible to the average individual for reading purposes. It is easy to use and effective as well.
A systematic literature review of mathematics learning media and its contributions
Authors: Hanifah Umi , Ekowati Dyah Worowirastri , Aini Dian Fitri Nur
Published: May 2024

A systematic literature review (SLR) aimed to define the trends and advances in mathematical semiotic reasoning research that have been published in journals with a scopus index, as well as their possibilities. Upon selecting the keyword "learning media" from the liquefaction menu within the scopus database, 213 articles were discovered. Moreover, a total of 18 articles satisfied the requirements for analysis. The PRISMA model is used for inclusion and exclusion. The trend of learning media has increased sharply in 2019-2023 by 15 articles (83.33%). The most dominant research type is the quantitative approach (6 articles). According to the author's nationality and international collaboration, Indonesia has the most authors (9, or 42.85%) of any country. Furthermore, the authors of learning media publications are dominated by the Asian continent 11 authors (52.38%). 8 articles carried out national and international collaborations (53.33%). Regarding keywords from 18 articles, there are opportunities in the future to research related to media learning with numbers, media learning and statistics, media learning with arithmetic, and so on. In addition, the contribution of learning media research in mathematics is in the form of contributions to learning planning, the development of mathematics learning media in other scientific fields, and the implementation of learning.
Development of flipbook-based digital comics to improve learning outcomes on simple comic material
Authors: Yuliani Eka , Setiawan Deni
Published: May 2024

According to researchers, they have made observations at SDN Purwoyoso 02 Semarang and obtained results, the problems obtained are limited learning media and student learning outcomes which are still in the low category in the content of Fine Arts lessons. This research aimed to test the effectiveness and feasibility of using Digital Comic learning media in Fine Arts subjects for class IV students at SDN Purwoyoso 02 Semarang-Central Java. The type of research used is research and development (RnD), which follows a modified Borg and Gall 9-stage model. The results of the product assessment in the form of learning media validation carried out by experts in the field of materials and media obtained an average score of 92.5% with a classification of "very feasible". Media effectiveness with the T test obtained a significance value of 0.000. The N-gain calculation obtained a value of 0.5553 with "medium" criteria. So digital comic learning media can be said to be very feasible and effective to be applied in improving student learning outcomes. Researchers suggest that we always develop digital-based learning media and maximize existing applications to encourage educational progress in Indonesia.
Development of monopoly learning media based on joyful learning model on natural sciences and social material
Authors: Rahma Hafida , Asih Sri Sami
Published: May 2024

The background of this research is the low learning outcomes of students in the content of science lessons on force material and its influence on everyday life. In addition, the use of learning media by teachers is still very limited and there is no development of learning models carried out. This researche aimed to develop motivation and learning outcomes of students grade IV. The type of research used in this study is research and development or Research and Development (R&D) which uses a research model design from Borg and Gall. This research resulted in four things, including: 1) Development of worksheet learning media in science learning force material; 2) The feasibility of media products that are considered very valid by experts with a final validation average of 91%; 3) Student responses to worksheet joyful learning media are very valid with a percentage of scores of 93.5%, 4) t-test results show GIS (2-tailed0 0.00 < 0.05 which shows an increase in average results before and after treatment on small-scale tests and large-scale tests, so it can be concluded that worksheet joyful learning media can improve student learning outcomes in the force material of grade IV elementary school students (natural sciences and social).
Effect of Sulphur Nanoparticles Biosynthesized from Bacillus Coagulans Extract against S. aureus Isolated from Dermatitis Patients in Iraqi Hospitals
Authors: Arkan J. Nima  , Hussain Suzan Saadi , Nawfal H. Aldujaili
Published: May 2024

Objective: The goal is to biosynthesize sulphur nanoparticles (Sulphur NPs)from Bacillus coagulans extract and test its bioactivity against S. aureus gram positive bacteri that was isolated from dermatitis patients. 
Methods: 125 specimens were taken from patients of dermatitis attended two Baghdad hospitals. Among 125 specimens, only 32 of isolates were identified as S. aureus. Five S. aureus isolates biofilm forming(strong) and multi drug resistant(MDR) were selected. Fourteen types of antibiotics from different classes were used and the results showed different patterns of resistance. Congo red agar (CRA) and microtiter plate method (MPT) were used to estimate the ability of MDR isolates of S. aureus to create biofilms. A series of characterization techniques, including UV–vis, FTIR, FE-SEM, EDS, XRD and TEM analysis, have been carried out to characterize the biosynthesized sulfur NPs. The antimicrobial, antibiofilm and antioxidant activities of sulfur NPs were estimated.
Results: Sulfur NPs biosynthesized exhibited antimicrobial activity against examined bacteria with inhibition zone ranged between 12 to 20, 18 to 23 and 22 to 26mm at 100, 200 and 300µg/ml, respectively. Only five strong-biofilm producers and MDR of S. aureus(A5, A8, A9, A11 and A29) were used to assess the ability of sulfur NPs as anti-biofilm agent. No significant differences (p>0.05) in inhibition rate of all strain isolates (A5, A8, A9, A11 and A29) for all concentrations of Sulfur NPs with p=0.886.
Conclusions: The antioxidant activity of sulfur NPs were decreased into 81.6, 80.3, 75.2 and 68.9% with using concentrations of 400, 300, 200 and 100ug/ml, respectively, also, nanoparticles had the potential to scavenge DPPH free radicals.
Role of ABCC2 gene polymorphism on deferasirox hepatic toxicity in thalassemia patients
Authors: Hussain Zahraa , Mosa Amal Umran , Atiyeh Mohammed Nnaji , Sahib Ahmed Salih
Published: May 2024

Objectives: To investigate the relationship between ABCC2 gene polymorphism (G>A, rs 8187710) and (C>T, rs 717620) and hepatotoxicity in thalassemia patient treated deferasirox .
Methods: The present work included a cross sectional study, 100 patients suffering iron overload and thalassemia out of 650 patients in (thalassemia center) and 100 healthy patients to compare the parameters of liver function tests of thalassemia patients with healthy group. The allele specific polymerase chain reaction technique (pcr) was used to detect the (G>A, rs 8187710) and (C>T, rs 717620 single nucleotide polymorphism (SNP).
Results : 58 patients with rs 8187710 who are wild (GG) and 32 patients hetero(GA)and 56 patients with rs 717620 who wild (CC) and 31 hetero (CT) are exposed to hepatotoxicity than patients with homo groups
 Conclusion: According to the results of the currents study, the (G>A, rs 8187710) and (C>T, rs 717620) single nucleotide polymorphism (SNP) was associated with hepatotoxicity in patients treated deferasirox.
MicroRNA-5196 as an Accurate Biomarker of Disease Activity and Response to Treatment in Rheumatoid Arthritis
Authors: Jassim Hadeer Hamid , Ahmed Abdul-Hassan Abbas  , Mohammed Hadi-Alosami
Published: May 2024

Objective:
Methods: One hundred patients divided into two groups’ 50 responders and 50 non responders with 50 healthy individuals were studied. The serum expression ofmiRNA-5196 was detected by using real-time polymerase chain reaction.
Results: miRNA-5196 expression was significantly higher in rheumatoid arthritis patients versus control group P <0.05. Sub-group of patients into responders and non-responders showed that miRNA-5196 expression higher in non-responders than responders.miRNA-5196 expression related with response to TNF-α inhibitor and disease activity in patients with rheumatoid arthritis.
Conclusion: miRNA-5196 may consider as a valid target for monitoring progression of RA disease and response to TNF-α inhibitor therapy.
Entanglement-assisted Quantum Reed-Muller Tensor Product Codes
Authors: Nadkarni Priya J. , Jayakumar Praveen , Behera Arpit , Garani Shayan Srinivasa
Published: May 2024

We present the construction of standard entanglement-assisted (EA) qubit Reed-Muller (RM) codes and their tensor product variants from classical RM codes. We show that the EA RM codes obtained using the CSS construction have zero coding rate and negative catalytic rate. We further show that EA codes constructed from these same classical RM codes using the tensor product code (TPC) construction have positive coding rate and provide a subclass of EA RM TPCs that have positive catalytic rate, thus establishing the coding analog of superadditivity for this family of codes, useful towards quantum communications. We also generalize this analysis to obtain conditions for EA TPCs from classical codes to have positive catalytic rate when their corresponding EA CSS codes have zero rate.
Custom Bell inequalities from formal sums of squares
Authors: Barizien Victor , Sekatski Pavel , Bancal Jean-Daniel
Published: May 2024

Bell inequalities play a key role in certifying quantum properties for device-independent quantum information protocols. It is still a major challenge, however, to devise Bell inequalities tailored for an arbitrary given quantum state. Existing approaches based on sums of squares provide results in this direction, but they are restricted by the necessity of first choosing measurement settings suited to the state. Here, we show how the sum of square property can be enforced for an arbitrary target state by making an appropriate choice of nullifiers, which is made possible by leaving freedom in the choice of measurement. Using our method, we construct simple Bell inequalities for several families of quantum states, including partially entangled multipartite GHZ states and qutrit states. In most cases we are able to prove that the constructed Bell inequalities achieve self-testing of the target state. We also use the freedom in the choice of measurement to self-test partially entangled two-qubit states with a family of settings with two parameters. Finally, we show that some statistics can be self-tested with distinct Bell inequalities, hence obtaining new insight on the shape of the set of quantum correlations.
Gamma ray Shielding Properties of the 57.6TeO2-38.4ZnO-4NiO system
Authors: KUTU Nuray
Published: May 2024

The radiation shielding is important for human health as it is hazardous for cell. New material development is under research for alternative shielding materials. Thus 57.6TeO2–38.4ZnO–4NiO system was developed and its shielding capacity were inspected. The variation of the linear attenuation coefficient (LAC) and some other parameters such as half value length (HVL), mean free path (mfp), effective atomic number (Zeff) and Effective electron density (Neff) were studied. The Phy-X/PSD program was utilized for this purpose
The Cosmology of Menoreh Customary Tradition in Indigenous People Perspective
Authors: Ahmad Arrozy  , Faridl Masdar , Edytya Salsabila Febri , Nada Novalina Zahra , Muhibah Siti , Mukarromah Rizqina
Published: May 2024

The concept of indigenous peoples is a global concern in local development including by international institutions such as the International Labour Organization. One indicator of indigenous peoples is cosmological knowledge which often incorporates deep connections between the material, spiritual realms and emphasizes the connective interconnectedness between humans and nature. Its development later became an international convention to protect the existence of indigenous peoples. This research uses ethnographic methods to explore the cosmology and memorial story of Menoreh indigenous people who do not recognize the administrative boundaries of the district so that they can perform traditional ceremonies from an indigenous perspective. Menoreh’s landscape illustrates the cosmological relationship between the local market, the Baritan ceremony, and the conservation of spring sacralization, which is a sustainable customary praxis. The ritual element of the cosmological axis of social interaction leads to two concepts. First, the relationship between Menoreh (caretakers as indigenous actors) and pilgrims' actions as visitors becomes an elementary social interaction. Second, the tradition of offerings and memorial of spirits (petilasan) becomes an elementary symbolic form.
The prognostic significance of tumor budding and cell nest size in laryngeal squamous cell carcinoma
Authors: Anousha Kiana , Shekari Mohammad Moin , Mirzaian Elham , Yousefi Tahere , Beheshti Amin , Lotfi Maryam
Published: May 2024

Background: Laryngeal Squamous Cell Carcinoma (LSCC) is a commonly
occurring malignancy in the head and neck region. However, due to the
heterogeneity of primary tumor sites, tumor behavior, and molecular
mechanisms, there is currently no consensus on the accuracy of
clinicopathological prognostic factors for individual cases. Tumor
histopathologic behavior remains a crucial factor in predicting
aggressiveness. Recent studies have shown that peritumoral tumor budding
(TB) combined with cell nest size (CNS) is a reliable marker for
predicting lymph node metastasis, advanced cancer prognosis, and
therapeutic response in SCCs of different origins. Materials and
methods: In this retrospective cross-sectional study, we analyzed 128
LSCC cases that underwent total laryngectomy at Amir Alam Hospital. We
evaluated TB and CNS based on the Boxberg et al. study. Results: Our
study demonstrated a significant correlation between TB, and nodal
involvement (P value=0.015), vascular invasion (P value=0.035), and
mortality rate (P value=0.001), as well as a significant statistical
correlation between high TB and extra-laryngeal extension (P
value=0.006), clinical stage (P value=0.011), and mortality rate (P
value=0.001). Moreover, small nest size was also associated with the
clinical stage (P value=0.047), extra-laryngeal extension (P
value=0.015), and mortality rate (P value=0.001). Based on our results,
TB, CNS, and clinical stage are independent prognostic factors for
mortality rate and are correlated with disease-free survival.
Conclusion: Given the effect of TB and CNS on the overall prognosis and
survival of patients with LSCC, evaluating these two factors on routine
H&E microscopic examination of LSCC specimens is recommended to
facilitate individualized risk assessment and treatment planning.
Global scale measurement of Ocean Bubble Depth with Space Lidar
Authors: Josset Damien Benjamin , Cayula Stephanie , Anguelova Magdalena D. , Rogers Erick , Wang David
Published: May 2024

Visible and microwave satellite measurements can provide the global
whitecap fraction. The bubble clouds are three-dimensional structures,
and a space-based lidar can provide complementary observations of the
bubble depth. Here, we use lidar measurements of the Cloud-Aerosol Lidar
and Infrared Pathfinder Satellite Observation (CALIPSO) satellite to
quantify global bubble depth from depolarization. The relationship
between CALIPSO bubble depth and wind speed from the Advanced Microwave
Scanning Radiometer for EOS (AMSR-E) and AMSR2 is similar to a recently
derived relationship based on buoy measurements. The CALIPSO-based
bubble depth data show global distributions and seasonal variations
consistent with the high wind speed (> 7 m/s) but with some
variance. We also found similarities between the CALIPSO bubble depth
and the whitecap fraction from AMSR2 and WindSat. Our findings support
using spaceborne lidar measurements to advance the understanding of the
3D bubble properties and ocean physics at high wind speeds.
Record Low Antarctic Sea Ice in Austral Winter 2023: Mechanisms and Predictability
Authors: Espinosa Zachary , Blanchard-Wrigglesworth Edward , Bitz Cecilia
Published: May 2024

Since 2016, Antarctic sea ice area (SIA) has set three record summertime
minimums occurring in 2017, 2022, and 2023. These recent extremes
culminated in a record low SIA anomaly in austral winter 2023, when SIA
was over 2 million km^2 below climatology, resulting from negative
sea ice concentration (SIC) anomalies centered in the Ross, eastern
Weddell, and East Antarctic Seas. We show that a fully-coupled Earth
System Model run with historic and anthropogenic forcing and nudged to
observed winds over 1950-2023 reproduces the observed austral winter
2023 SIC anomalies. In a sensitivity test that had the impact of 2023
ENSO conditions removed via regression, we show that the 2023 transition
from La Niña to El Niño had a negligible impact. Next, using an ensemble
initialized on January 1st 2023 nudged to past years’ winds, we
demonstrate that ~70% of the total Antarctic SIA
anomaly was predictable six months in advance and driven by warm
Southern Ocean sea surface temperatures that developed prior to 2023,
with the remaining ~30%  attributable to 2023
atmospheric circulation. Finally, an ensemble forecast suggests that
Antarctic SIA is likely to remain significantly below climatology in
austral winter 2024 due to continuing warm Southern Ocean conditions.
Unintended Consequences of Business Digitalization among MSMEs during the COVID-19 Pandemic: The Case of Indonesia
Authors: Oikawa Keita , Iwasaki Fusanori , Sawada Yasuyuki , Shinozaki Shigehiro
Published: May 2024

This study employs unique data from Indonesia to investigate whether and how digitalization of micro, small, and medium-sized enterprises (MSMEs) helped them weather the adverse shocks from the pandemic and resulting lockdowns. The main empirical result is that, in the pandemic’s early phases, digitalized MSMEs disproportionately encountered negative effects on their business outcomes. The seemingly harmful elements of digitalization disappeared during later stages. The findings provide critical implications for industrial and competition policies related to MSMEs during the COVID-19 recovery process.
Understanding Barriers and Facilitators to Participating in Diabetes Self-Management Education and Support Services From Multiple Perspectives: Results of a Mixed-Methods Study of Medicaid Members, Medicaid Managed Care Organizations, and Providers in New York State
Authors: Arena Laura , Austin Rachael , Esquivel Nikie , Vigil Tara , Kaelin-Kee Janice , Millstein Susan
Published: May 2024

This study sought to understand the barriers to and facilitators of diabetes self-management education and support (DSMES) referrals and participation from multiple perspectives in New York. Two common barriers emerged: lack of awareness of DSMES services and limited access to DSMES services. Strategies that could improve DSMES referrals and participation include provider education, outreach to eligible patients, and tailoring of DSMES services to meet participants’ cultural needs and preferences. Future research is needed to assess the effectiveness of multicomponent strategies to increase DSMES participation in diverse populations.
Pengembangan modul pembelajaran Bahasa Indonesia berbasis Enviromental Wisdom Lampung pada jenjang sekolah menengah pertama
Authors:   Program Studi Pendidikan Bahasa dan Sastra Indonesia, Universitas Lampung, Prasetya Rian Andri , Liswati Khoerotun Nisa ,   Program Studi Pendidikan Bahasa dan Sastra Indonesia, Universitas Lampung, Gustira Yinda Dwi ,   Program Studi Pendidikan Bahasa Lampung, Universitas Lampung
Published: May 2024

The natural damage that occurs in Lampung province is rooted in the community's lack of awareness and maintenance of the environment. This is an urgency for schools to provide education by instilling students' awareness of this matter. This research was carried out to develop Lampung environmental wisdom-based teaching materials in Indonesian language learning at junior high school level through the use of Lampung literature which was analyzed using the literary ecocriticism model. This research is a type of Research & Development (R&D) level 4, namely researching, testing and creating new products. The teaching materials that have been prepared then present Lampung literary texts to describe the environmental realities that occur in society. Keywords: Environmental Wisdom Lampung, Indonesian Language Learning Module; Research & Development (R&D)
UPAYA PENINGKATAN HASIL BELAJAR SISWA MATERI TEKS FIKSI DAN NON FIKSI MELALUI IMPLEMENTASI PROBLEM BASED LEARNING DENGAN BANTUAN PETA KONSEP MENGGUNAKAN APLIKASI CANVA BAGI SISWA KELAS 6B SDN 03 KLEGEN SEMESTER II TH 2023/2024
Authors: Ulhaq Nursa'adin , Endrawati Ninik , Hartono Yudi
Published: May 2024

Tujuan dari penelitian ini adalah untuk mengetahui peningkatan hasil belajar siswa dalam menyelesaikan soal-soal terkait materi teks fiksi dan nonfiksi pada penerapan pembelajaran berbasis masalah (PBL) dengan bantuan peta konsep menggunakan aplikasi Canva. Penelitian dilakukan pada siswa kelas 6B SDN 03 Klegen semester genap tahun pelajaran 2023/2024. Subyek penelitian adalah siswa kelas 6B SDN 03 Klegen jumlah 28 anak. Data diperoleh hasil belajar siswa, hasil observasi guru, hasil observasi siswa. Penelitian ini merupakan Penelitian Tindakan Kelas (PTK) yang dilakukan selama dua siklus. Pada siklus 1 pembelajaran dilaksanakan secara konvensional,sementara pada silus 2 pembelajaran menerapkan PBL dengan peta konsep melalui aplikasi Canva.Tiap siklus meliputi 4(empat) tahap yaitu perencanaan, pelaksanaan tindakan, pengamatan (observasi) dan refleksi. Pada penelitian ini dikatakan berhasil apabila sekurang-kurangnya 85% siswa memperoleh nilai ≥ 70. Hasil penelitian menunjukkan: (1) Ketuntasan belajar siswa pada siklus I sebesar 67,55 % dengan nilai rata-rata 65,55 dan pada siklus II sebesar 87,50% dengan nilai rata-rata 78 .Skor aktivitas siswa pada siklus I sebesar 75% dan pada siklus II sebesar 82,50%. Dari data tersebut di atas jelas menunjukkan bahwa pada siklus I hasil belajar belum mencapai ketuntasan minmal yang diharapkan sedangkan pada siklus II hasil belajar sudah ketuntasan minimal yang ditetapkan.Hasil tersebut menunjukkan bahwa penggunaan PBL dengan peta konsep melalui aplikasi Canva meningkatkan hasil belajar siswa pada teks fiksi dan nonfiksi. Kesimpulan penelitian ini adalah pentingnya pengintegrasian teknologi ke dalam pembelajaran untuk meningkatkan kemampuan siswa dalam memahami dan menerapkan konsep pembelajaran.Kata Kunci : Peta konsep, teks fiksi dan non-fiksi,canva,PBL.
Motivating children to learn the Arabic language through classic Arabic books
Authors: Sya'diah Marliana , Hamidah  , Anshari Muhammad Redha
Published: May 2024

This research aims to determine: (1) Al-Qur'an literacy activities (2) Children's motivation to learn Arabic through classic Arabic books and (3) Barriers to Al-Qur'an literacy activities. This research is descriptive in nature with a qualitative approach. The results of the research show that (1) The activities carried out at Madrasah Diniyah Sidomulyo are Al-Qur'an literacy activities which consist of practicing reading the Al-Qur'an, makharijul letters, and recitation knowledge. Meanwhile, for learning Arabic, we use standard classical Islamic boarding school books, including Ta'lim muta'alim, al-jurumiyah, at-Tasrif and aqidatul awwam. (2) The motivation for children to learn Arabic at Madrasah Diniyah Sidomulyo is divided into 2, namely intrinsic motivation which is influenced by the child's drive and need to learn and the desire to successfully master Arabic, because of the hopes and aspirations of becoming an Arabic teacher. And extrinsic motivation is based on interesting learning activities and a conducive learning environment. (3) The implementation of Al-Qur'an literacy activities at Madrasah Diniyyah is hampered due to a lack of teachers, students are not yet accustomed to using classic Islamic boarding school books, resulting in difficulties in learning. Lack of facilities and infrastructure such as management rooms, teaching rooms, administration rooms and libraries.
Children's Acquisition of Arabic Language Based On Chomsky's Theory Of Nativism
Authors: Massofia Fitrah Dinanti , Suci Ramadhanti Febriani  , Budianto Langgeng
Published: May 2024

This study delves into the acquisition of Arabic language by children in the context of Chomsky's Theory. Acquisition of Arabic language for non-native students in Indonesia is very important to find out how Indonesians acquire arabic language and are able to understand the rules of the target language. The research focuses on non-native students in Indonesia, shedding light on how they grasp Arabic language and comprehend its linguistic rules. Through a qualitative approach and the Miles and Huberman model for data analysis, the study reveals that children can proficiently learn Arabic through language acquisition rather than traditional learning methods. And results of study are that children can master arabic language by means of language acquisition, if he masters the second language it is not through the learning process in school. The findings underscore the significance of innate language skills in children, as proposed by Chomsky's Theory of Nativism, emphasizing the presence of a Language Acquisition Device (LAD) from birth. This study contributes valuable insights into the natural language acquisition process and the role of innate linguistic abilities in mastering Arabic language skills. So, there must be some important aspects regarding the language system that is naturally within the child.
Disabilities Student’s Perspective in a Hybrid Learning During Covid-19 Pandemic at UIN Sunan Kalijaga Yogyakarta
Authors: Fithriya Dwi Nur Laela , Dewi Maya Sandra Rosita , Ardhana Bagas Pramudya
Published: May 2024

Indonesia's education world is experiencing significant changes due to the ongoing COVID-19 pandemic. This change can be seen from the enactment of online teaching and learning activities. In the even semester of the 2021/2021 Academic Year, the COVID-19 pandemic subsided a little. This also impacts the policy of implementing learning activities, especially in the higher education environment. Responding to the Indonesian government's decision regarding the Implementation of Face-to-Face Learning for the 2021/2022 Academic Year, UIN Sunan Kalijaga also organizes lecture activities in which each lecturer can hold offline lectures together with online lectures (in the network). Learning with online and offline models at UIN SUKA is adapted to existing conditions in the field, especially for students with disabilities. This research uses structural functional theory (AGIL). The results of this study explain that students with disabilities can attend hybrid lectures even with all the limitations they have. It takes help and assistance from related parties to help run Hybrid Learning, especially for students with disabilities.
The Effect of Instructor Competence on the Learning Process in the PKW Program in Makassar City
Authors: Ilham Akbar B Muhammad , Sucipto Sucipto , Zulkarnain Zulkarnain
Published: May 2024

This study aims to investigate the influence of instructor competency on the learning process in the Entrepreneurial Skills Education Program (PKW). In this research, a quantitative approach was utilized involving 85 respondents who are adult learners who have previously participated in the PKW Program at the Course and Training Institute (LKP) in Makassar City. This study employs hypothesis testing with a simple regression model to examine the impact of variable X, denoted as instructor competency, on variable Y, representing the PKW learning process. The findings reveal a noteworthy association between instructor competency and the PKW learning process, signifying a positive correlation. This suggests that as instructor competency increases, the quality of the PKW learning process improves. Such findings carry significant implications for enhancing the quality of entrepreneurial skills education. Investing in the development of instructor competency can serve as a strategic approach to augmenting the efficacy and efficiency of the learning process.
Pelaksanaan Literasi Kewarganegaraan Siswa Di SMA Kabupaten Simeulue Dalam Era Globalisasi
Authors: Hidayat Roni
Published: May 2024

This study examines the implementation of civic literacy in simeulue high school. It uses qualitative research methods to analyze social symptoms and behaviors in order to understand and improve student civic literacy. The study focuses on 5 civic education teachers as informants and collects data through observation, interviews, and documentation. The results suggest that student civic literacy can be improved through the implementation of curriculum, including the design of lesson plans and the use of elaborative learning models. The professionalism of teachers also plays a vital role in enhancing civic literacy. Additionally, the study suggests that literacy corner activities at school can further enhance civic literacy. However, there are some challenges related to the implementation of student civic literacy at Simeulue high school.
Mercado de bonos SVS en Argentina
Authors: Goenaga Analía , Gutierrez Nuria , Bauer Geraldina
Published: May 2024

Resulta ineludible atender uno de los mayores problemas a los que se enfrenta la sociedad hoy, que es el cambio climático. Las organizaciones que generan altos niveles de emisiones de gases de efecto invernadero se ven inducidas a cambiar sus modelos de negocios, potenciando el uso de energías renovables con basamento en recursos inagotables de la naturaleza.
Por otra parte, las reiteradas crisis económicas a nivel mundial han dado lugar a un proceso de exclusión financiera, que genera a su vez mayor exclusión social y pobreza. A partir de allí, surge de manera imperiosa la necesidad de un cambio de paradigma que prometa un futuro mejor para las próximas generaciones con un sistema financiero y económico sostenible.
En este proceso de cambios, las organizaciones encuentran un nuevo mecanismo de financiación alternativo con la emisión de bonos verdes, que logran movilizar un capital sustancial hacia proyectos de energía limpia, y con la alternativa de emisión de bonos sociales, cuyos fondos se destinan a proyectos que cubren las crecientes necesidades sociales de un mundo en crisis.
En este contexto, los inversores comienzan a manifestar activamente su interés en realizar inversiones socialmente responsables y, con ello, a exigir la producción de mayor y mejor información sobre las compañías emisoras y sobre los instrumentos financieros.
El presente trabajo tiene como objetivo analizar si el cumplimiento de los lineamientos, guías y reglamentos que orientan el mercado de Bonos SVS en Argentina garantiza a los inversores la categorización de los mismos y la trazabilidad en el uso de los fondos.
Luego de la investigación realizada, se observa que, si bien el nivel de cumplimiento alcanzado en las regulaciones del mercado de Bonos SVS en Argentina por parte de las empresas emisoras es elevado, no asegura a los inversores la categorización de los mismos ni la trazabilidad en el uso de fondos. Esto se debe al acatamiento parcial de algunos lineamientos y a la falta de control integral de los organismos reguladores, lo que puede aumentar el nivel de escepticismo de los inversores sobre este tipo de instrumentos financieros.
Un inventario sobre los estudios de ética contable en Colombia
Authors: Agudelo Vargas María Victoria , Chamorro González Candy Lorena
Published: May 2024

Mediante un análisis bibliométrico, el presente estudio identifica las temáticas que abordan los estudios de ética en contabilidad en Colombia. Para tal fin, la investigación abordó un enfoque cuantitativo y un alcance descriptivo documental respecto a la producción científica relacionada con ética en contabilidad, comprendida entre los años 1982-2022. Se utilizó como fuente de información la producción científica registrada en 35 revistas condensada en Publindex. Los resultados destacan que las investigaciones en esta área han venido adquiriendo una gran importancia, formalizando desde diferentes puntos de vista una estructura intelectual contable. Adicionalmente, se identificaron 36 artículos relacionados con ética en contabilidad. La revista con mayor número de trabajos publicados es la Revista Contaduría Universidad de Antioquia. En concreto, se reconoce que las estrategias de recolección de datos utilizadas por estos artículos fueron la revisión documental y estudios de reflexión, y respecto al tipo de análisis utilizado en los estudios de ética, la mayoría –el 41%– abordaron un análisis crítico y el 33%, uno descriptivo.