bluuebunny/crossref_metadata_2025 huggingface dataset:
Sociocultural factors in relation to mental health within the Inuit population of Nunavik
Authors: Poliakova Natalia , Riva Mylene , Fletcher Christopher , Desrochers-Couture Mireille , Courtemanche Yohann , Moisan Caroline , Fraser Sarah , Pépin Camille , Bélanger Richard E. , Muckle Gina
Published: November 2022

Objective

Built on the Inuit determinants approach of health, this study aimed to identify sociocultural factors associated with mental health among Inuit of Nunavik to guide programs and services.

Methods

The data were collected through the Qanuilirpitaa? 2017, a survey characterized by the involvement of several Inuit representatives. Depressive symptoms (10-item Center for Epidemiologic Studies-Depression scale, CES-D), lifetime suicide ideation and attempts, and past-year ideation were self-reported mental health indicators. Sociocultural factors represented four thematic domains: social support, community activities, traditional practices, and cultural identity. Analyses tested whether the sociocultural factors were associated with indicators of mental health using weighted multivariate regressions.

Results

Among the sociocultural factors considered, family cohesion and weekly hunting/fishing activities were associated with lower depression scores. Community cohesion and lower cultural identity (centrality scale) were associated with a lower likelihood of past-year and lifetime ideation while family cohesion was related to a lower likelihood of lifetime attempts. People with psychological distress (higher CES-D, suicidal ideation or attempts) were more likely to participate in healing and wellness activities.

Conclusion

Although limited by their cross-sectional character, these analyses, based on the community component of the Qanuilirpitaa?, suggest that strengthening of family and community cohesion, and support of regular hunting and fishing deserve further attention as potential cumulative preventive avenues for Inuit mental health.
Assisted hatching – should we keep doing it?
Authors: Zion Ben Rafael , Mordechai Ben David
Published: November 2022

Assisted Zona Hatching (AZH) like most add-ons was introduced to In Vitro Fertilization and Embryo transfer (IVF/ET) in the early 1990s, when the live birth rate (LBR) in older women, age 35-39, was only 6%.
Plasmid Sequence Analysis from Long Reads v2
Authors: A Eccles David
Published: November 2022

This protocol demonstrates how to assemble reads from plasmid DNA, and generate a circularised and non-repetitive consensus sequence At the moment, this protocol uses Canu to de-novo assemble high-quality single-cut reads. Input(s): demultiplexed fastq files (see protocol Demultiplexing Nanopore reads with LAST). I've noticed that the default demultiplexing carried out by Guppy (at least up to v4.2.2, as used in the first version of this protocol) has issues with chimeric reads, which can affect assembly. Output(s): Consensus sequence per barcode as a fasta file
Detection of Equatorial Plasma Bubbles v1
Authors: not provided swapna.karnam
Published: November 2022

Slant Total Electron Content values from Global Navigation Satellite System are used to detect the Equatorial Plasma Bubbles in the Ionosphere.
Comunicação, educação e sociedade: dialogicidade e esperançar é fundamental
Authors:   Ronaldo Nunes Linhares,   Valéria Pinto Freire,   Alexandre Meneses Chagas
Published: November 2022

Este é o resultado de um encontro para nós muito importante, pois, num primeiro momento, comemora a decima versão do Simpósio Internacional de Educação e Comunicação – SIMEDUC. Num segundo, reúne as contribuições de pesquisas e refl exões de nosso convidados sobre a educação e a comunicação apresentado neste símpósio e, por fi m, comemorarmos o centenário do nascimento de Paulo Freire em 2021, preservamos sua memória e mantemos vivo seu legado por educação transformadora, criando no corpo do evento o Fórum Permanente Paulo Freire o que consideramos uma oportunidade favorável para reafi rmar ideias e pensamento do educador/autor e suas contribuições nos estudos educomunicativos
Enhancement for Secured File Storage Using Modern Hybrid Cryptography
Authors: Dhiman Oshin , Sharma Anand
Published: November 2022

In a wide range of applications, from cloud storage to chat messaging, security is a major issue. In today's business world, there are several security dangers as well as a fiercely competitive environment. Thus we want a secure file storage solution to safeguard and convey their confidential data. Cryptography is a technique for encrypting or decrypting data to store information secretly and conceal its true meaning. The existing techniques include the fact that heavily encrypted, valid, and digitally signed material might be hard to obtain, even for an authorized user, at a time when access is essential for making decisions. This research suggests a modern hybrid cryptographic method to strengthen the security of file storage. The proposed algorithm follows the flow mentioned here: data collection, normalization technique is used for data preprocessing, and Advanced Encryption Standard (AES) is used for data encryption. Combining symmetric and asymmetric algorithms contributed to the growth of the modern hybrid cryptography algorithm. There are two types of encryption algorithms: Data Encryption Standard (DES), which is symmetric, and Rivest, Shamir, & Adleman (RSA), which is asymmetric. These two types of algorithms are then compared to see how well they perform in terms of encryption/decryptions time, key generation time, & file size.  The proposed algorithm is very effective in enhancement for secured file storage using modern hybrid cryptography.
Image Processing-Based Lung Cancer Detection Using Adaptive CNN Mixed Sine Cosine Crow Search Algorithm in Medical Applications
Authors: Zellar Ivan
Published: November 2022

Medical image processing relies heavily on the diagnosis of lung cancer images. It aids doctors in determining the correct diagnosis and management. For many patients, lung cancer ranks among the most deadly diseases. Many lives can be saved if cancerous growth is diagnosed early. Computed Tomography (CT) is a critical diagnostic technique for lung cancer. There was also an issue with finding lung cancer due to the time constraints in using the various diagnostic methods. In this study, an Adaptive CNN Mixed Sine Cosine Crow Search (ACNN-SCCS) strategy is proposed to assess the presence of lung cancer in CT images based on the imaging technique. Accordingly, the presented classification scheme is used to assess these traits and determine whether or not the samples include cancerous cells. To obtain the highest level of accuracy for our research the proposed technique is analyzed and compared to many other approaches, and its performance metrics (detection accuracy, precision, f1-score, recall, and root-mean-squared error) are examined.
Research on Smart Environment Monitoring Systems based on Secure Internet of Things (IoT)
Authors: S Anasica
Published: November 2022

Significant environmental threats include poor air quality, water contamination, and radiation pollution. A healthy society must be maintained for the planet to experience sustained growth. Environmental monitoring has transformed into smart environment monitoring (SEM) systems in recent years due to the growth of an internet of things (IoT). The Internet of Things (IoT) concept has developed into technology for creating smart environments and also has its disadvantage. To collect, evaluate, and recommend specific actions in smart environments for various purposes, a secure IoT-based platform is proposed. The proposed method follows the flow outlined here: data collection, normalization technique is used for data preprocessing, Linear Discriminant Analysis (LDA) is used for feature extraction, then data stored in IoT, Advanced Twofish encryption algorithm is proposed for securing the data, then user decryption, and finally performance is analyzed for smart environment monitoring using secure IoT. The proposed work aims to complete a critical evaluation of significant contributions to SEM that focus on the monitoring of water quality, air quality, radiation contamination, and agricultural systems. Secure IoT is based on the optimal integration and use of data gathered from several sources. This algorithm provides smart environment monitoring and also exhibits optimal integration.
Design and Analysis of Reversible Data Hiding Using Hybrid Cryptographic and Steganographic approaches for Multiple Images
Authors: Singh Bhumika , Hiranwal Saroj
Published: November 2022

Data concealing is the process of including some helpful information on images. The majority of sensitive applications, such sending authentication data, benefit from data hiding. Reversible data hiding (RDH), also known as invertible or lossless data hiding in the field of signal processing, has been the subject of a lot of study. A piece of data that may be recovered from an image to disclose the original image is inserted into the image during the RDH process to generate a watermarked image. Lossless data hiding is being investigated as a strong and popular way to protect copyright in many sensitive applications, such as law enforcement, medical diagnostics, and remote sensing. Visible and invisible watermarking are the two types of watermarking algorithms. The watermark must be bold and clearly apparent in order to be visible. To be utilized for invisible watermarking, the watermark must be robust and visibly transparent. Reversible data hiding (RDH) creates a marked signal by encoding a piece of data into the host signal. Once the embedded data has been recovered, the original signal may be accurately retrieved. For photos shot in poor illumination, visual quality is more important than a high PSNR number. The DH method increases the contrast of the host picture while maintaining a high PSNR value. Histogram equalization may also be done concurrently by repeating the embedding process in order to relocate the top two bins in the input image's histogram for data embedding. It's critical to assess the images after data concealment to see how much the contrast has increased. Common picture quality assessments include peak signal to noise ratio (PSNR), relative structural similarity (RSS), relative mean brightness error (RMBE), relative entropy error (REE), relative contrast error (RCE), and global contrast factor (GCF). The main objective of this paper is to investigate the various quantitative metrics for evaluating contrast enhancement. The results show that the visual quality may be preserved by including a sufficient number of message bits in the input photographs.
Energy Harvesting based Mobile Cloud Network in Latency and QoS Improvement using 5G Systems by Energy Routing Optimization
Authors: Khatri Kajol , Sharma Anand
Published: November 2022

D2D communication technology enables the User Equipment (UE) in 5G networks to instantly connect with other UEs, with or without partial infrastructure involvement. In a Cloud Assisted energy harvesting system, it has improved user numbers and data transmission between mobile nodes. This research propose energy harvesting for mobile cloud computing in enhancing the QoS and latency of the network. The main aim of this research is to enhance energy optimization using discrete energy efficient offloading algorithm. The routing has been optimized using fuzzy logic cognitive Bellman-Ford routing algorithm. To identify the failing node and find an alternative node to deliver the seamless services, an unique weight-based approach has been presented. The method relies on two working node parameters: execution time and failure rate. Threshold values are specified for the parameters of the chosen master node. By contrasting the values with the threshold values, the alternative node is chosen. The experimental results shows comparative analysis in terms of throughput of 96%, QoS of 96%, latency of 28%, energy consumption of 51%, end-end delay of 41%, average power consumption of 41% and PDR of 85%
A Comparison Analysis of Machine Learning Algorithms on Cardiovascular Disease Prediction
Authors: Jayasree Lakkala , Usha D.
Published: November 2022

People nowadays are engrossed in their daily routines, concentrating on their jobs and other responsibilities while ignoring their health. Because of their hurried lifestyles and disregard for their health, the number of people becoming ill grows daily. Furthermore, most of the population suffers from a disease such as cardiovascular disease. Cardiovascular disease kills 35% of the world's population, according to W.H.O. A person's life can be saved if a heart disease diagnosis is made early enough. Still, it can also be lost if the diagnosis is constructed incorrectly. Therefore, predicting heart disease will become increasingly relevant in the medical sector. The volume of data collected by the medical industry or hospitals, on the other hand, can be overwhelming at times. Time-series forecasting and processing using machine learning algorithms can help healthcare practitioners become more efficient. In this study, we discussed heart disease and its risk factors and machine learning techniques and compared various heart disease prediction algorithms. Predicting and assessing heart problems is the goal of this research.
Underwater Aerial Vehicle Networks Based Image Analysis By Deep Learning Architecture Integrated With 5G System
Authors: Vyas Aakansha , Sharma Anand
Published: November 2022

With its astonishing ability to learn representation from data, deep neural networks (DNNs) have made efficient advances in the processing of pictures, time series, spoken language, audio, video, and many other types of data.In an effort to compile the volume of information generated in remote sensing field's subfields, surveys and literature revisions explicitly concerning DNNs methods applications are carried out Aerial sensing research has recently been dominated by applications based on Unmanned Aerial Vehicles (UAVs).There hasn't yet been a literature review that integrates the "deep learning" and "UAV remote sensing" thematics.This research propose novel technique in underwater aerial vehicle networks based image analysis by feature extraction and classification utilizing DL methods. here UAV based images through on 5G module is collected and this image has been processed for noise removal, smoothening and normalization. The processed image features has been extracted using multilayer extreme learning based convolutional neural networks. Then extracted deep features has been classified utilizingrecursive elimination based radial basis function networks. The experimental analysis is carried out based on numerous UAV image dataset in terms of accuracy, precision, recall, F-measure, RMSE and MAP.Proposed method attained accuracy of 96%, precision of 94%, recall of 85%, F- measure of 72%, RMSE of 48%, MAP of 41%.
Национальные экономические интересы в контексте глобальных вызовов
Authors: Суслова Елена Ивановна
Published: November 2022

В статье рассматриваются особенности развития российской экономики в современных условиях. Реализация национальных экономических интересов увязывается с необходимостью ответа на технологический и климатический вызовы.
Цифровой вектор развития российского здравоохранения: анализ факторов на стороне спроса
Authors: Ласточкина Оксана Сергеевна , Калашников Константин Николаевич
Published: November 2022

Статья посвящена анализу готовности жителей России, в частности Вологодской области, к «цифровому прорыву» в здравоохранении. С опорой на данные социологических опросов населения, полученных как экспертными организациями (ВЦИОМ, РОМИР), так и ФГБУН «ВолНЦ РАН», авторы приходят к выводу о существовании факторов «цифрового разрыва», присутствующих на стороне спроса, т. е. потребителей медицинских услуг. Последний касается низкого доверия населения, прежде всего пожилых жителей сельских территорий, к информационно-коммуникационным технологиям как инструменту взаимодействия с медицинскими службами.

Сделан вывод о необходимости гибкого подхода к реализации «цифрового контура» в здравоохранении, что требует учета психологических и в целом культурных особенностей групп высокого риска.
The use of antegrade venous thrombectomy with stenting for acute iliofemoral phlebothrombosis in a patient with post-thrombophlebitis disease
Authors: Khuziakhmedov Anvar N. , Khalilov Ildar G. , Komarov Roman N. , Khalilov Iskander I.
Published: November 2022

Deep vein thrombosis is one of the most formidable conditions, which can subsequently cause pulmonary embolism and trigger the development of post-thrombophlebitic disease. The aim of our work was to evaluate the result of antegrade venous thrombectomy with stenting for acute iliofemoral phlebothrombosis in a patient with post-thrombophlebitic disease. PatientG., 33years old, was admitted to the Department of Vascular Surgery of the City Clinical Hospital No.7 of Kazan on January1, 2021 on an emergency basis with complaints of severe swelling and pain in the right lower limb.Upon admission, the patient underwent ultrasound Doppler scanning of the veins of both lower extremities and X-ray tomography of the chest and abdominal cavities with contrast, according to which the diagnosis of acute iliofemoral phlebothrombosis on the right with thrombus flotation in the common iliac vein for 7cm was made. According to vital indications, the surgery transjugular thrombectomy from the iliofemoral segment using a proximal venous trap and subsequent implantation of a venous stent into the right common iliac vein was performed. In the postoperative period, the patient received anticoagulant therapy. Aday after the operation, a control ultrasound of the veins of the lower extremities and the inferior vena cava, X-ray tomography of the organs of the chest and abdominal cavity were performed. On the 5th day, the patient was discharged in asatisfactory condition under the supervision of a surgeon at the place of residence. Analysis of the results of surgical treatment of a patient with post-thrombophlebitic disease complicated by acute iliofemoral phlebothrombosis using antegrade venous thrombectomy with stenting showed that the patency of the stented iliac-femoral segment was maintained for up to 12months. Thus, the proposed method of surgical treatment allows us to safely remove floating and occlusive thrombi from the iliocaval and femoral segments, implant stents, and thereby restore the patency of the segment, reducing the risk of possible repeated thrombosis, embolic and post-thrombophlebitic complications.
In-silico designing of an inhibitor against mTOR FRB domain: Therapeutic implications against breast cancer
Authors: Sharma Varruchi , Sharma Anil K. , Panwar Anil , Sheikh Imran , Sharma Ajay , Dhir Sunny , Dhama Kuldeep , Thakur Ramesh
Published: November 2022

Worldwide breast cancer causes significant fatalities in women. The effective therapeutic solution for treating the disease is using new and probable antagonistic biologically available ligands as anticancer drugs. To identify a successful therapeutic approach, the scientific community is now interested in creating novel ligands that in the future may be used as anticancer drugs. The mechanistic target of rapamycin (mTOR) is a protein kinase connected to several processes governing immunity, metabolism, cell development, and survival. The proliferation and metastasis of tumors have both been linked to the activation of the mTOR pathway. Female breast cancer represents about 15.3% of all new cancer cases in the U.S. alone and is frequently diagnosed among women aged 55 to 69 years. Given that the P13K/AKT/mTOR pathway is one of the most often activated in cancer, much attention has been paid to its resistance as a novel oncological treatment approach. mTOR/FRB Domain’s recruitment cleft as, well as substrate recruitment mechanism, was targeted using a structural-based approach. A series of selective inhibitory small molecules have been designed and screened for the best inhibiting target binding triad of the FRB Domain with better ADME and no detectable toxic effects.
Inflammatory mediator responses of Vaccinium corymbosum extracts on the streptokinase induced acute glomerulonephritis in rats
Authors: Fauzi Ahmad , Pamungkas Aulia Fadil , Titisari Nurina , Noviatri Aldila , Permata Fajar Shodiq
Published: November 2022

Blueberry (Vaccinium corymbosum) has many health benefits including anti-inflammatory and antioxidant activities. Glomerulonephritis is a commonly found kidney disease in companion animals that is characterized by glomerular proliferation and inflammation likes characteristics. The present study was carried out to evaluate the potential of blueberry against inflammatory response in the kidney of acute glomerulonephritis (AGN) in animal models. For this, twenty male Wistar rats were randomized into five groups i.e. A - E (n=4). Among these Group A has four healthy individuals administrated with aqua dest (negative control), group B individuals have streptokinase (6000IU/rat) induced acute glomerulonephritis rats treated with aqua dest (positive control) while group C-E has streptokinase (6000IU/rat) induced acute glomerulonephritis rats treated with different concentrations of blueberry extract (500, 1000, and 1500 mg/kg body weight) for 14 days, respectively. After 14 days, kidney samples were harvested for histology and immunohistochemistry examinations. One-way ANOVA followed by the Tukey test was used for statistical analysis (P< 0.05). The blueberry extract treated AGN rats showed a significantly decreased in IL-1beta expression and inflammatory cell numbers compared to negative and positive control rats and 1500 mg/kg of the blueberry extract was found as the optimal dose. Results of the study can be concluded that blueberry extract has a strong anti-inflammatory effect that could depress the inflammatory responses in acute glomerulonephritis rat animal models.
Infertility Impact of Cotton Seeds (Ceiba pentandra) and Eggplant Cepoka (Solanum torvum) on the Nfkb Expression and Seminiferous Tubules Diameter
Authors: Oktanella Yudit , Nugroho Husayn Satria , Wulansari Desi , Hendrawan Viski Fitri , Agustina Galuh Chandra , Anisa Agri Kaltaria
Published: November 2022

The presence of the solasodine and gossypol compounds in Kapok seeds (Ceiba pentandra) and cepoka eggplant (Solanum torvum) suggest the use of these two as an herbal contraceptive ingredient in male animal fertility. This study aimed to determine the effect of cepoka eggplant extract (S. torvum) and kapok seed (C. pentandra) on infertility in rats (Rattus norvegicus) through NFkB expression and seminiferous tubule diameter. The study was carried out on 75 to 90 days old male Wistar rats having 150-200 grams of body weight. The experimental design used in this study was a completely randomized design (CRD) with three treatment groups i.e. C (control), KP1, and KP2 having six rats in each group. Here the rats of group C were not treated with gossypol or solasodine while the rats of group KP1 were treated with solasodine compound at a dose of 1g/kg BW and rats of group KP2 were treated with gossypol induction at a dose of 0.1 g/kg BW. Kapok seed extract and eggplant cepoka extract were extracted by the maceration method with 70% ethanol solvent. NFkB expression was examined using the immunohistochemical (IHK) method, which was analyzed with immunoratio software. Histopathological preparations (HE) of seminiferous tubule diameter were analyzed using raster image software 3. All the obtained data were analyzed by the One Way ANOVA test and Tukey's follow-up test with a 95% confidence level (α = 0.05). The results showed that the administration of cepoka eggplant extract could significantly increase the expression of NFkB (p<0.05) with an average amount of 87.22 ± 6.89 with a dose of 1 g/kg BW. Treatment with Kapok seed extract can reduce the diameter of the seminiferous tubules (STs) by an average of 0.31 ± 0.016 at a dose of 0.1 g/kg BW. The results of the study can be concluded that the extract of cepoka eggplant and kapok seeds can be used as candidates for herbal contraceptives.
Effects of hormone and fertilizers on early flower induction of Dendrobium anosmum hybrid seedlings under ex vitro condition
Authors: Nguyen Thi Diem , Nguyen Thi Oanh , Ho Thanh-Tam , Nguyen Huu Tho , Hang La Thi Thu , Cuc Nguyen Thi Kim
Published: November 2022

Early flowering of new orchids is important to save time for selecting valuable flowers and artificial induction of flowering is a critical consideration in the orchid production industry. In this study, a new Dendrobium anosmum hybrid was generated by cross-breeding between D. anosmum ‘Chau Nhu’ and D. anosmum ‘Di Linh’. The ancestors and hybrid seedlings from in-vitro culture were trained in the net house and their growth and flowering were evaluated under ex vivo conditions with specific fertilizers and hormones. The results suggest that the hybrid plants grew better than their parents in terms of stem height, stem diameter, and leaf number. Growth hormones were applied to stimulate early flowering in matured hybrids and it was discovered that ‘Keiki pro’, a commercial hormone product, produced the best results, with a flowering rate of 66.67% after two applications. Hybrid flowers varied in width from 36.36% (3.0-6.0 cm) to 63.64 % (more than 6.0 cm) from ancestral width in medium-sized and large-sized flowers, respectively. Also, the hybrid flower colours was mostly a combination of pink/violet (75C) and purple/pink (68A), which is different from their parents. Importantly, the dorsal sepal, petal colours, and shape of hybrid flowers varied significantly among individual hybrids, between hybrids and their progenitors. Some mutations in the lips and columns of the novel hybrid flowers were also visualized. Hence, the D. anosmum hybrid seedlings successfully induced flowers after a year of culture under optimal hormones and fertilizers conditions. The results can serve as a critical reference for the early flowering of the orchid seedlings.
Aspirin regulates oxidative stress and physio-biochemical attributes in Brassica juncea under cadmium toxicity
Authors: Chandra Sharath
Published: November 2022

The current study aimed to evaluate the effects of aspirin (Asp) on growth, physio-biochemical variables, and oxidative stress in Brassica juncea subjected to cadmium toxicity. Cadmium (Cd) toxicity decreased the root and shoot development by 67.53 % and 64.4 % respectively, over the control. However, treatment with Asp showed improved root and shoot growth in Cd treated seedlings. This study demonstrates elevation in total soluble sugar (TSS), proline, and glycine betaine levels and suppressed total protein concentrations in Cd treated seedlings over control. On the treatment of Asp to Cd exposed plants, an enhanced level of the above said variables was reported. The activities of superoxide dismutase (SOD), catalase (CAT), ascorbate peroxidase (APX), and ascorbate (ASC) increased in plants with Cd stress over control, followed by enhanced elevation of the same on supplementation of Asp. Supplementation of Asp reduces the accumulation of malondialdehyde (MDA) and H2O2, confirming the plant metals' stress protection properties of Asp. Thus studies confirm aspirin's involvement in protecting plant growth and development against cadmium toxicity.
Impact of Metallic Nanoparticles on the Nutritional Values of Spirulina
Authors: Sithambaram Raveenderan , Djearamane Sinouvassane , Tong Liang Sharolynne Xiao , Wong Ling Shing , Rajamani Ranjithkumar , Balasubramanian Senthilkumar
Published: November 2022

Spirulina has high nutritional values and anti-oxidative properties. It is a staple diet due to its easy cultivation and greater nutritional values in biological macromolecules (proteins, lipids, and carbohydrates), pigments (chlorophyll, carotenoids, phycobiliproteins) vitamins, minerals, phenolic compounds, and amino acids. Spirulina also has been used as a nutraceutical to treat numerous diseases and disorders due to its promising therapeutic values. However, extensive anthropogenic activities cause the discharge of metals and metallic nanoparticles into the environment that might cause toxicity to marine and freshwater microalgae due to bioaccumulation. The presence of metals in the environment beyond the normal range does not only affect the growth but also the nutritional values of microalgae. The nutritional properties and usage of Spirulina along with the harmful effects of metals and metallic nanoparticles on Spirulina are highlighted and summarized in this paper.
Determination of Fish Consumption Habits of Students in Maritime High Schools: The Case of Turkey
Authors: YILMAZ YAVUZ Ayten , YAVUZ Fatih
Published: November 2022

In this study, it has been aimed to determine the fish consumption habits of the students studying at high schools in the field of Maritime. This research is cross-sectional in nature. It has been found that the participants give importance to fish consumption, they prefer to eat fish because it is healthy, and it is the recommendation of family and friends that make them willing to consume a new fish species. In the consumption of fish, they prefer to consume fresh, fried fish, which are hunted and purchased from the fishermen’s stall. It is thought that the necessity of health education for the development of fish consumption habits and increasing the fish consumption rate and the carrying out of these training with family and peer support can increase fish consumption.
A New Trend in Presenting Pansori Performances by Means of Videos and Webtoons
Authors: Kim Seon hyeon
Published: November 2022

This study investigated the characteristics of pansori videos’ content, focusing on the Web-Pansori Dalmoon, a Goodest Person and Jeong Seung Jun’s Pan-Toon. The two videos contain pansori content produced using visual materials, such as motion graphics and webtoons, and which were showcased through YouTube, a social media video platform. The Web-Pansori Project Dalmoon, a Goodest Person is a creative rendering in video form of pansori based on a modern novel, including motion graphics and typography. Jeong Seung Jun’s Pan-Toon was reconstructed by editing a traditional pansori performance using webtoon images as background at the time of the performance. Although the two cases differ in how they use visual materials for pansori performances, they are noteworthy in that they expand the scope of pansori alongside visual media. Above all, these contents are meaningful as they provide an opportunity for media users unfamiliar with pansori to experience it, which helps people appreciate and understand the contents of the pansori better. The pansori performance delivered through three different methods may potentially make the pansori more accessible for the public.
Digitalizing Public Services: Opportunities for Latin America and the Caribbean
Authors: Cristia Julian P. , Vlaicu Razvan
Published: November 2022

The COVID-19 pandemic has sped up digital transformation and brought within reach the possibility of dramatic improvements in public services for millions across Latin America and the Caribbean. There is large variation in value added between different technology-based projects, and governments should leverage the available evidence to prioritize project designs that yield the greatest possible social value. This report seeks to serve as a source of inspiration, offering clear and concrete examples of easily implementable interventions in education, health, transactional services, and fiscal management with the potential to help build more inclusive and developed societies.
Simplificando vidas: gestión de la calidad y satisfacción ciudadana con los servicios públicos: Uruguay 2022
Authors: Pareja Alejandro , Morales Marcela
Published: November 2022

Esta es la cuarta edición de Simplificando Vidas. Al igual que las publicaciones anteriores, esta procura contribuir a la mejora de los trámites y procesos de gestión que pueden impedir el acceso a los servicios públicos. Para cumplir con este objetivo, se recurre a la medición y el análisis de cómo los organismos prestadores gestionan la calidad de los servicios y, además, se examina la experiencia de los usuarios (la satisfacción ciudadana). En esta ocasión, el estudio abarca únicamente Uruguay y se centra en la visión externa (la de los usuarios, la de la demanda). El análisis abarca nueve trámites de alto impacto (correspondientes a eventos clave de la vida de las personas). Entre los hallazgos principales, para los nueve trámites seleccionados, se pueden mencionar los siguientes: i) se observaron una discordancia entre la experiencia de los usuarios y lo que los funcionarios asumen sobre ella, y una llamativativamente pronunciada preferencia por el canal presencial; ii) se confirmó que el grueso de los costos para los usuarios se deriva del tiempo y de los traslados requeridos, y iii) se detectó la ausencia de una gestión de los usuarios en cuanto clientes a quienes satisfacer.Resultados como los aquí recogidos permiten identificar en qué áreas del sector público están los mayores desafíos, en qué consisten y qué tipo de proyectos serían los más apropiados para abordarlos.
The Significance of the Tax Reforms of J. Biden’s Administration to Ensure Fiscal Sustainability of the United States
Authors: Babich Svetlana
Published: November 2022

The article briefly discusses the positive and negative impacts of D. Trump's tax reform, which came into law through The Tax Cuts and Jobs Act of 2017. It contains a detailed analysis of J. Biden's pre-election tax program, approved after his election as the 46th President of the United States. A preliminary analysis of the possible effects of the main tax initiatives proposed by J. Baiden in the short and long term has been carried out.
Biden's plan to save the economy called "Build Back a Better America" (Build Back Better), is analyzed, as well as the administration’s plans to fight the COVID-19 coronavirus implemented in the form of the following laws: the "American Rescue Plan 2021" estimated at 1.9 trillion; the "American Employment or Job Creation Plan" (AJP), with a budget of 2.3 trillion, the "American Families Support Plan" (AFP) worth 1.8 trillion. and, the law "On Reducing Inflation in 2022", aimed at supporting low- and middle-income American families by reducing current and future inflation in the country.
Special attention is also given to the analysis of the effectiveness of the tax initiatives proposed by the 46th President of the United States to change the structure of the current tax system, improving the taxation of individuals and businesses.
It is concluded that it is the best time to correct the current US tax mechanism and change the fiscal policy pursued by the Joseph Biden administration in order to promote the necessary level of R&D and smooth out the negative consequences of business cycles.
The article also reviews the main changes concerning the completion of tax return form 1040 and its appendices after the introduction of the tax amendments made by J. Biden for the payment of individual income tax.
From self-driving drones to autonomous drones: a range of socio-ethical risks
Authors: Sokolova Marianna
Published: November 2022

The article discusses a number of ethical conflicts related to the imperfection of recognition and decision-making algorithmization technologies based on the experience of the USA, Russia and China. Special attention is paid to social risks and the institutionalization of algorithmic ethics. The role of the risks of using autonomous weapons, shock autonomous UAVs is emphasized (the Maven project, USA). Using the example of the conflict between the American researcher Timnit Gebru and the Google managers, the institutional risks of researchers are considered. Using the example of strikes by Gig workers of Chinese digital food delivery platforms, it is shown to what social risks business algorithms can lead to if the interests of workers are not taken into account.
Reproductive Rights in the USA in the Context of the Mid-Term Election
Authors: Shvedova Nadezhda
Published: November 2022

Many pages in the history of the struggle of American women for their rights are devoted to the problems of reproductive rights and, in particular, abortion (the right to abortion). At present, these stories do not lose their acute relevance in the circumstances presented: passions are fueled by intermediate races of applicants for hundreds of elected government posts across the country and at the federal level to the House of Representatives (in full) and the Senate (one third of the composition), on the one hand. On the other hand, the decision of the US Supreme Court in the case of Dobbs v. Jackson Women's Health Organization overturned on June 24, 2022 the landmark decision in the Roe v. Wade case of 1973. life, including the right of a woman to make her choice to maintain or terminate a pregnancy. Legal abortion is under threat, as reflected in the toxic rise in state legislation undermining reproductive rights to terminate pregnancies.
American women, far from unanimous, are reacting to losses in gains. US women are not a monolithic segment of the electorate, professing an unambiguous and common position regarding reproductive rights. The picture of abortion supporters and anti-abortionists is more of a multi-colored mosaic than painted in two polar colors - blue (symbolizing the Democrats) and red (symbolizing the Republicans), and mixed shades in between. A number of states are considering legislative initiatives aimed at restricting access to birth control methods, others have already introduced state-level laws almost completely prohibiting abortion procedures.
The Democratic president is urging Americans to actively participate in the November midterm elections to elect lawmakers who will provide a strong legal framework to protect the reproductive rights of American women.
A Framework of Systematic Land Use Vulnerability Modeling Based on Seismic Microzonation: A Case Study of Miri District of Sarawak, Malaysia
Authors: Najar Imtiyaz Akbar , Ahmadi Raudhah , Khalik Yunika Kirana Abdul , Mohamad Nurul Zawiyah , Jamian Mohd Azizul Hafi , Najar Nadeem Akbar
Published: November 2022

The objective of this research is to develop the framework for sustainable land-use planning on the basis of seismic microzonation to reduce the devastating effects of future earthquakes by utilizing the software geographical information system (ArcGIS). Miri district of Sarawak in Malaysia has been chosen as the study area because of having the highest peak ground acceleration which is 0.09g in terms of the 10% probability of exceedance in 50 years. In addition, the frequency of an earthquake with a magnitude up to 5.3 is approximately every 5-7 years. Therefore, it is vital to introduce land use planning in order to diminish the adverse effects of earthquakes in the future. For this purpose, Google Earth Pro was used for the collection of satellite image data for land use planning purposes. From the results, it was found that the seismic hazard in the Miri district varies from low to high corresponding to 2475 years of return period with low to moderate as predominant over the Miri district. Only a few areas are under high hazard. Also, the land use planning map was compared with the current land use map acquired from satellite imagery and it was found that all built-up is in the low hazard area. It is envisaged that the findings from this research will contribute immensely to the literature that will serve as background information and a guide for analysts, disaster management, engineering designers and seismologists in Malaysia and the world as a whole.
Phytoremediation of Zinc, Copper, and Lead Using Ipomoea Aquatica in Water Contaminants
Authors: Nur Muhammad , Nasir Muhammad , Irfandi Rizal , Yani Ahmad , Fauziah Siti , Danur Riny Febriani , Raya Indah , Fudholi Ahmad
Published: November 2022

Lake Tempe in the Wajo Regency, South Sulawesi (Indonesia) is highly toxic due to metal pollution from industrial activities and the activities of residents living around the region. Zinc-contaminated water poses a potential threat to biotic communities. This research aims to develop phytoremediation technology to effectively remove toxic zinc from contaminated lake Tempe. The use of plants as phytoremediation agents to accumulate metals in polluted water is considered adequate because the method is environmentally friendly and presents economic value. This study was therefore designed to assess the phytoremediation potential of water spinach against zinc (Zn), copper (Cu), and lead (Pb). Water spinach was planted in Tempe lake contaminated with zinc (Zn), copper (Cu), and lead (Pb) metals, and the study was conducted for 30 days under natural conditions. Subsequently, the Tempe lake physicochemical properties, including pH, TDS, TSS, total nitrogen, total phosphate as P, and Zn content, were measured, before and after the phytoremediation process. The ability of plants to absorb zinc (Zn), copper (Cu), and lead (Pb) were assessed by the bioconcentration factor (BCF). The results showed that there was a correlation between the BCF value and the phytoremediation time. The longer the phytoremediation time, the higher the BCF value are obtained. Infra-Red (IR) data shows the presence of metal binding in plants with the functional groups C=S, C=N, and OH. Water spinach has the potential as a phytoremediation agent in remediating zinc (Zn), copper (Cu), and lead (Pb) metals in polluted lake Tempe water.
Scientific Research Trend in Biorefineries in India: Analysis and Systematic Review
Authors: Jiménez-Islas Donaji , Pérez-Romero Miriam E. , García José Álvarez , Sánchez Amador Durán
Published: November 2022

The aim of this article is to provide a comparative analysis regarding the production of the scientific research of biorefineries in India using Web of Science and Scopus databases. The rate of growth of publications, production, citation, correlation and overlap between databases, authors, journals and universities has been analyzed. The results of both databases show exponential growth of publications in India from 2015-2020 on the topic of biorefineries. The index of citations per document is similar in WoS and Scopus. The correlation of citations was found to be high between databases used. Most Indian authors publish in quartile 1 (Q1) journals. Most of the published documents are review and the highest number of citations were found in the journal "Renewable and Sustainable Energy Reviews". Both databases present a series of publications on the topic of biorefinery by authors from India, the difference between the databases lies in the indexing criteria and the updating of the journals.
Improving the Characteristics of Subgrade Soil Using Different Chemical Additives: Case Study Al-Nasiriya Soil
Authors: Khudhair Abbas Ayad , Shaia Hussein Abd , Aodah Haider Habeeb , Abdulreda Maitham Mohamed
Published: November 2022

The roads in the city of Nasiriya in southern Iraq suffer from problems that occur as a result of repeated vehicle loads or due to weak soil and lead to losing their performance and being out of service despite their construction for a very short period. The use of chemical additives to improve the subgrade widely worldwide and give strength and durability to the weak soil while the possibility of using chemical additives for the substrate in Al-Nasiriya is still practically limited. The study aimed to verify the use of chemical additives (cement, lime, and ferric chloride) and to know their effect on the properties of Al-Nasiriya soil. The results showed a clear improvement in the UCS test when using chemical additives, and then the optimal percentages of additives were determined and were 9%, 10%, and 2% respectively, in addition to knowing the effect of the curing period (1, 7 and 14) days on the results of the test. For the other tests (maximum dry density, CBR, swelling, and optimum moisture content) were verified for the optimal chemical percentages and it was observed that the CBR values increased and the swelling values decreased after treatment and soaking in water for all additives, while the compaction parameters had a different behavior between the materials additive used.
Soil Macrofauna Diversity and Litter Decomposition Rate in the Buffer Zone of Lore Lindu Biosphere Reserve Indonesia
Authors: Zulkaidhah Zulkaidhah , Wardah Wardah , Saleh Shahabuddin , Satriawan Walid , Hapid Abdul , Wulandari Retno , Wahyuni Dewi , Taiyeb Asgar , Rukmi Rukmi , Rahmawati Rahmawati , Hamka Hamka
Published: November 2022

Conversion of forest to agricultural land (agroforestry and monoculture) has a negative impact on soil macrofauna diversity. Soil macrofauna have a key role in maintaining soil fertility through decomposition and supporting the productive capacity of ecosystems. This study aimed at determining the soil macrofauna diversity and the litter decomposition rate in agroforestry and monoculture and investigating the correlation between soil macrofauna diversity and litter decomposition rate. This study involved field and laboratory activities. Litter traps were installed for soil macrofauna observation, macrofauna identification was carried out in the laboratory, and litter bags were used for decomposition rate observation. Data analysis was conducted to determine species diversity and similarity of soil macrofauna on agroforestry and monoculture plantations. The calculation of the diversity index (H’) shows that complex agroforestry and simple agroforestry have moderate, while candlenut monoculture has low diversity of soil macrofauna. The similarity of soil macrofauna in these sites is low (similarity index below 50%). The decomposition rate of litter is relatively high (0.01 g/day). The correlation between species diversity and the decomposition rate of litter in complex agroforestry and candlenut monoculture is very strong. Meanwhile, in simple agroforestry, the correlation is relatively low.
Magneto-Hemodynamic of Blood Flow Having Impact of Radiative Flux Due to Infrared Magnetic Hyperthermia: Spectral Relaxation Approach
Authors: Ige Ebenezer O. , Oyelami Funmilayo H. , Olutayo-Irheren Joshua , Okunlola Joseph T.
Published: November 2022

Hyperthermia therapy is an adjuvant procedure during which perfused body tissues is subjected to elevated range of temperature in bid to achieve improved drug potency and efficacy of cancer treatment. While a selected class of hyperthermia techniques is shouldered on the thermal radiations derived from single-sourced electro-radiation measures, there are deliberations on conjugating dual radiation field sources in an attempt to improve the delivery of therapy procedure. This paper numerically explores the thermal effectiveness of combined infrared hyperemia having nanoparticle recirculation in the vicinity of imposed magnetic field on subcutaneous strata of a model lesion as ablation scheme. An elaborate Spectral relaxation method (SRM) was formulated to handle equation of coupled momentum and thermal equilibrium in the blood-perfused tissue domain of a spongy fibrous tissue. Thermal diffusion regimes in the presence of external magnetic field imposition were described leveraging on the renowned Roseland diffusion approximation to delineate the impact of radiative flux within the computational domain. The contribution of tissue sponginess was examined using mechanics of pore-scale porosity over a selected of clinical informed scenarios. Our observations showed for a substantial depth of spongy lesion, magnetic field architecture constitute the control regimes of hemodynamics in the blood-tissue interface while facilitating thermal transport across the depth of the model lesion. This parameter-indicator could be utilized to control the dispensing of hyperthermia treatment in intravenous perfused tissue.