bluuebunny/crossref_metadata_2025 huggingface dataset:
Penguin search optimization algorithm with multi-agent reinforcement learning for disease prediction and recommendation model
Authors: Rajesh Thota Radha , Rajendran Surendran , Alharbi Meshal
Published: March 2023

Multi-agent reinforcement learning (MARL) is a generally researched approach for decentralized controlling in difficult large-scale autonomous methods. Typical features create RL system as an appropriate candidate to develop powerful solutions in variation of healthcare fields, whereas analyzing decision or treatment systems can be commonly considered by a prolonged and sequential process. This study develops a new Penguin Search Optimization Algorithm with Multi-agent Reinforcement Learning for Disease Prediction and Recommendation (PSOAMRL-DPR) model. This research aimed to use a unique PSOAMRL-DPR algorithm to forecast diseases based on data collected from networks and the cloud by a mobile agent. The major intention of the proposed PSOAMRL-DPR algorithm is to identify the presence of disease and recommend treatment to the patient. The model manages the agent container with different mobile agents and fetched data from dissimilar locations of the network as well as cloud. For disease detection and prediction, the PSOAMRL-DPR technique exploits deep Q-network (DQN) technique. In order to tune the hyperparameters related to the DQN technique, the PSOA technique is used. The experimental result analysis of the PSOAMRL-DPR technique is validated on heart disease dataset. The simulation values demonstrate that the PSOAMRL-DPR technique outperforms the other existing methods.
An intelligent protection framework for intrusion detection in cloud environment based on covariance matrix self-adaptation evolution strategy and multi-criteria decision-making
Authors: Belal Mohamad Mulham , Sundaram Divya Meena
Published: March 2023

The security defenses that are not comparable to sophisticated adversary tools, let the cloud as an open environment for attacks and intrusions. In this paper, an intelligent protection framework for intrusion detection in a cloud computing environment based on a covariance matrix self-adaptation evolution strategy (CMSA-ES) and multi-criteria decision-making (MCDM) is proposed. The proposed framework constructs an optimal intrusion detector by using CMSA-ES algorithm which adjusts the best parameter set for the attack detector. Moreover, the proposed framework uses a MEREC-VIKOR, a hybrid standardized evaluation technique. MEREC-VIKOR generates the own performance metrics (S, R, and Q) of the proposed framework which is a combination of multi-conflicting criteria. The proposed framework is evaluated for attack detection by using CICIDS 2017 dataset. The experiments show that the proposed framework can detect cloud attacks accurately with low S (utility), R (regret), and Q (integration between S and R). The proposed framework is analyzed with respect to several evolutionary algorithms such as GA, IGASAA, and CMA-ES. The performance analysis demonstrates that the proposed framework that depends on CMSA-ES converges faster than the other evolutionary algorithms such as GA, IGASAA, and CMA-ES. The outcomes also demonstrate that the proposed model is comparable to the state-of-the-art techniques.
The LSTM-based automated phishing detection driven model for detecting multiple attacks on Tor hidden services
Authors: Rajeswary C. , Thirumaran M.
Published: March 2023

Phishing is a major problem on darknets. Phishing is the practice of attacking an unaware person by pretending to be someone else to steal their digital data. In anonymous platforms such as the dark web or deep web of Tor, detecting the attacker or phishing attacks is a much more complicated practice. Generic phishing attacks can be easy to spot. Today’s challenge is detecting the various attacks in the anonymous network is very hard. The intelligent factor of attacks can bypass traditional detection solutions. To solve the problem of complications in the Tor Network, this work focuses on the development of automated detection of vulnerable attacks in phishing-based Tor hidden services. The proposed model initially divides the attack parameters into three categories into Class A, Class B, and Class C based on technical perspectives and some defined threshold values. Next, the class A attacks (i.e. top level domain and protocol similarity) attacks are detected by a random forest (RF) classifier. Then, the class B attacks can be identified by the convolutional neural network (CNN). Finally, the LSTM model is applied for the accurate classification of multiple attacks in the Tor network. The experimental validation of the proposed model is tested using the CIRCL and AIL datasets. The experimental values highlighted the promising performance of the proposed model over other methods with a maximum overall detection accuracy of 95.60% and 95.77% on CIRCL and AIL datasets respectively. Therefore, the proposed model effectively detects multiple attacks in the Tor network under dynamic and real-time environments.
Novel deep learning approach for DDoS attack using elephant heard optimization algorithm along with a fuzzy classifier for rules learning
Authors: Caroline Misbha J. , Ajith Bosco Raj T. , Jiji G.
Published: March 2023

The research aims to provide network security so that it can be protected from several attacks, especially DoS (Denial-of-Service) or DDoS (Distributed Denial-of-Service) attacks that could at some point render the server inoperable. Security is one of the main obstacles. There are a lot of network risks and attacks available today. One of the most common and disruptive attacks is a DDoS attack. In this study, upgraded deep learning Elephant Herd Optimization with random forest classifier is employed for early DDos attack detection. The DDoS dataset’s number of characteristics is decreased by the proposed IDN-EHO method for classifying data learning that works with a lot of data. In the feature extraction stage, deep neural networks (DNN) approach is used, and the classified data packages are compared to return the DDoS attack traffic characteristics with a significant percentage. In the classification stage, the proposed deep learning Elephant Herd Optimization with random forest classifier used to classify the data learning which deal with a huge amount of data and minimise the number of features of the DDoS dataset. During the detection step, when the extracted features are used as input features, the attack detection model is trained using the improved deep learning Elephant Herd Optimization. The proposed framework has the potential to be a promising method for identifying unidentified DDoS attacks, according to experiments. 99% recall, precision, and accuracy can be attained using the suggested strategy, according on the findings of the experiments.
An improved CLVA method for evaluating the endurance quality level of young male basketball players with 2-tuple linguistic neutrosophic information
Authors: Zhang Haibo
Published: March 2023

For a long time, the level of endurance quality of our male basketball athletes is not high, and there is a gap with the strongest countries in Europe and America. The former head coach of Chinese men’s basketball team diagnosed the biggest problem of Chinese men’s basketball team and Chinese youth men’s basketball team is the poor quality of endurance. It is especially important to strengthen the endurance training of our basketball players and improve their endurance level. However, from the current situation, the teams in the training due to the lack of standards for endurance quality training has led to a great blindness in endurance quality training. The endurance quality level evaluation of young male basketball players is a classic multiple attribute group decision making (MAGDM) issue with vague, inconsistent, and indeterminate information. The 2-tuple linguistic neutrosophic sets (2TLNSs) is an appropriate form to express the indeterminate decision-making information in the endurance quality level evaluation of young male basketball players. Therefore, in this paper, the 2-tuple linguistic neutrosophic numbers CLVA (2TLNN-CLVA) is built based on traditional close value (CLVA) method and applies it to evaluate the endurance quality level of young male basketball players. Finally, a numerical example for evaluating the endurance quality level of young male basketball players has been given and some decision comparisons are also conducted to further illustrate the advantages of the 2TLNN-CLVA method.
The Muscular Dystrophy Association’s neuroMuscular ObserVational Research Data Hub (MOVR): Design, Methods, and Initial Observations
Authors: Kilroy Elisabeth A , Burris Rachael , Javelosa Edritz , Waits Jessica , Lek Angela , Rodgers Rayne , Opgenorth Hayley , Hesterlee Sharon
Published: March 2023

Background: Neuromuscular disease (NMD) research is experiencing tremendous growth as a result of progress in diagnostics and therapeutics yet there continues to be a significant clinical data shortage for these rare diseases. To maximize the development and impact of new therapies, the Muscular Dystrophy Association (MDA) created the neuroMuscular ObserVational Research Data Hub (MOVR) as an observational research study that collects disease-specific measures from individuals living with NMDs in the United States. Objective: This manuscript provides a description of MOVR, participants enrolled in MOVR, and longitudinal data availability. Methods: MOVR collects longitudinal data from individuals diagnosed with ALS, BMD, DMD, FSHD, LGMD, Pompe disease, or SMA, and who are seen for care at a participating MDA Care Center. Data are entered from medical records into standardized electronic case report forms (eCRFs). These eCRFs capture participants’ demographics, diagnostic journeys, clinical visits, and discontinuation from the study. Results: From January 2019 to May 2022, MOVR collected data from 50 participating care centers and 1,957 participants. Data from 1,923 participants who participated in MDA’s pilot registry were migrated into MOVR, creating a total of 3,880 participants in MOVR. Initial analysis of aggregated data demonstrated that 91% of eCRFs were complete. Forty-three percent of participants had 3 or more encounters and 50% of all encounters were 5 months or less from the previous encounter. Discussion: As a centralized data hub for multiple NMDs, MOVR serves as a platform that can be used to inform disease understanding, guide clinical trial design, and accelerate drug development for NMDs.
Post-exertional malaise among people with long COVID compared to myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)
Authors: Vernon Suzanne D. , Hartle Megan , Sullivan Karen , Bell Jennifer , Abbaszadeh Saeed , Unutmaz Derya , Bateman Lucinda
Published: March 2023

BACKGROUND: Long COVID describes a condition with symptoms that linger for months to years following acute COVID-19. Many of these Long COVID symptoms are like those experienced by patients with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). OBJECTIVE: We wanted to determine if people with Long COVID experienced post-exertional malaise (PEM), the hallmark symptom of ME/CFS, and if so, how it compared to PEM experienced by patients with ME/CFS. METHODS: A questionnaire that asked about the domains of PEM including triggers, experience, recovery, and prevention was administered to 80 people seeking care for Long COVID at Bateman Horne Center. Their responses were compared to responses about PEM given by 151 patients with ME/CFS using chi-square tests of independence. RESULTS: All but one Long COVID respondent reported having PEM. There were many significant differences in the types of PEM triggers, symptoms experienced during PEM, and ways to recover and prevent PEM between Long COVID and ME/CFS. Similarities between Long COVID and ME/CFS included low and medium physical and cognitive exertion to trigger PEM, symptoms of fatigue, pain, immune reaction, neurologic, orthostatic intolerance, and gastrointestinal symptoms during PEM, rest to recover from PEM, and pacing to prevent PEM. CONCLUSION: People with Long COVID experience PEM. There were significant differences in PEM experienced by people with Long COVID compared to patients with ME/CFS. This may be due to the newness of Long COVID, not knowing what exertional intolerance is or how to manage it.
Truncated total variation in fractional B-spline wavelet transform for micro-CT image denoising
Authors: Ji Dongjiang , Xue Xiying , Xu Chunyu
Published: March 2023

BACKGROUND: In medical applications, computed tomography (CT) is widely used to evaluate various sample characteristics. However, image quality of CT reconstruction can be degraded due to artifacts. OBJECTIVE: To propose and test a truncated total variation (truncation TV) model to solve the problem of large penalties for the total variation (TV) model. METHODS: In this study, a truncated TV image denoising model in the fractional B-spline wavelet domain is developed to obtain the best solution. The method is validated by the analysis of CT reconstructed images of actual biological Pigeons samples. For this purpose, several indices including the peak signal-to-noise ratio (PSNR), structural similarity index (SSIM) and mean square error (MSE) are used to evaluate the quality of images. RESULTS: Comparing to the conventional truncated TV model that yields 22.55, 0.688 and 361.17 in PSNR, SSIM and MSE, respectively, using the proposed fractional B-spline-truncated TV model, the computed values of these evaluation indices change to 24.24, 0.898 and 244.98, respectively, indicating substantial reduction of image noise with higher PSNR and SSIM, and lower MSE. CONCLUSIONS: Study results demonstrate that compared with many classic image denoising methods, the new denoising algorithm proposed in this study can more effectively suppresses the reconstructed CT image artifacts while maintaining the detailed image structure.
A Comparative Study of the Relationship between Marital Adjustment and Life Satisfaction among Childless Couples with or without an Adopted Child
Authors: Malik NADEEM , Gulraiz Hira , Anjum Reham , Asmatullah  , Aman Khan
Published: March 2023

The present study explored the comparison between marital adjustment and life satisfaction of infertile couples with and without adopted child which makes it a comparative study. It was hypothesized that both groups will be different on marital adjustment and life satisfaction. Purposive sampling was employed to recruit a sample which accounted for 50 couples (n= 25 infertile couples with adopted child and n=25 infertile couples without adopted child) selected from Fatima memorial hospital Lahore and Daar-ul-usmania adoption center Lahore. Participants were required to fill a self-made demographic form, marital adjustment test)(Locke & Wallace, 1959) and Ryff psychological wellbeing scale (Ryff & Keyes, 1995). Descriptive analysis of data, independent sample t test were carried out to test the purposed hypotheses. Results revealed significant difference between marital adjustment and life satisfaction of infertile couples with adopted child. The additional findings of the study also showed insignificant gender differences in marital adjustment and life satisfaction of infertile couples with and without adopted child.
Forecasting JPFA Share Price using Long Short Term Memory Neural Network
Authors: Enriko I Ketut Agung , Gustiyana Fikri Nizar , Krishna Hedi
Published: March 2023

To invest or buy and sell on the stock exchange requires understanding in the field of data analysis. The movement of the curve in the stock market is very dynamic, so it requires data modeling to predict stock prices in order to get prices with a high degree of accuracy. Machine Learning currently has a good level of accuracy in processing and predicting data. In this study, we modeled data using the Long-Short Term Memory (LSTM) algorithm to predict the stock price of a company called Japfa Comfeed. The main objective of this journal is to analyze the level of accuracy of Machine Learning algorithms in predicting stock price data and to analyze the number of epochs in forming an optimal model. The results of our research show that the LSTM algorithm has a good level of accurate prediction shown in mape values and the data model obtained on variations in epochs values. All optimization models show that the higher the epoch value, the lower the loss value. Adam's Optimization Model is the model with the highest accuracy value of 98.44%.
The relationship between international students' perceived discrimination and self-reported overall health during COVID-19
Authors: Zhang Qiyang , Xiong Yiying , Rose Prasath Priscilla , Byun Sooyeon
Published: March 2023

Since the outbreak of the COVID-19 pandemic, cases of discrimination and hate crimes against minority populations including international students have soared in the U.S. This study explores the relationship between international students’ perceived discrimination and their self-reported overall health and the role of social support and positive emotions in such relationship. In total, 203 international students studying at two U.S. universities participated in an online survey. The results indicated that (1) when international students perceive higher levels of discrimination, they experience lower levels of positive emotions and have lower levels of perceived social support; and (2) positive emotions were significantly associated with both psychological distress and physical health. Perceived social support was only significantly associated with physical health not psychological distress. We also provided meaningful implications for higher educational institutions that strive to enhance international students’ overall health.
Конституційне право України: прагматичний курс : навч. посібник
Authors:   Національний університет «Одеська юридична академія»
Published: March 2023

Видання навчального посібника "Конституційне право України: прагматичний курс" спрямоване, передусім, врахувати потребу студентів у лаконічному та водночас комплексному викладенні навчального матеріалу, який би відповідав тематиці програми вступних випробувань з конституційного права України та відображав новітні конституційно-правові перетворення. Цінність даного посібника для вступників полягає в тому, що його структура дозволяє якнайкраще підготуватися до тестування, оскільки включає саме ті теми та питання, які включені до програми вступних випробувань. Крім того, прагматичний курс цінний для студентів 2-го курсу як опорний конспект лекцій при підготовці до практичних занять, а аткож до іспиту з конституційного права України. Навчальний посібник стане корисним при підготовці до державного екзаменаційного іспиту з конституційного права України для студентів 4-го курсу.
LAYANAN KONSELING ISLAMI BAGI KESULITAN BELAJAR DALAM PENDIDIKAN ISLAM
Authors: Suriyadi Suriyadi
Published: March 2023

Guidance and counseling is very instrumental in helping students achieve education. The students need to be guided, so that they can optimize its potential. Learning problems are important problems. This  was proved from a result of research at several schools in Yogyakarta, which indicated that the difficulties in learning to be a problem that is most prominent among the problems faced by students. The difficulties that was experienced by learners psychologically are academic delays, very slow in learning as a result of having inadequate intelligence, poor habit in learning and unhealthy emotional mental. The way to identify students’ learning disabilities are through behavior, and through the analysis of learning achievement.
Application of Religious Values and Local Wisdom in Government Leadership in Morowali District, Central Sulawesi Province
Authors: Hafid Anwar , Suradinata Ermaya , Effendi Khasan , Lukman Sampara
Published: March 2023

This study aims to identify and analyze the application of religious values, and local wisdom values, as well as reconstruct a model in local government leadership in Morowali district, Central Sulawesi province. The  research used qualitative method. Data collection was carried out using a questionnaire instrument in the Jakarta, Bogor, Depok, Tangerang and Bekasi areas. This study uses an empirical sociological approach to looking at the reality that exists in the practice of life in society. So sociological research with an empirical approach must be carried out in the field using field research methods and techniques. In addition to interviewing informants, researchers must also hold Focused Group Discussions with stakeholders, especially within the Morowali Regency Government and communicate with the community. The research results show that the implementation of religious values ​​in the Morowali Regency was realized; the application of local wisdom values ​​in the Morowali Regency is carried out within the framework of the spirit of Tepe Asa Moroso (United then (we will) be strong/steadfast) from the government of Morowali Regency.p.sapplication of local wisdom values ​​through the spirit of Tepe Asa Moroso, kthe construction of a new model in government leadership that was born through a leadership analysis method based on the application of religious values ​​and local wisdom in Morowali Regency is the "BUNGKU" Leadership Model which means Congregational, Superior and Strong.
ПІДГОТОВКА КОРЕКЦІЙНОГО ПЕДАГОГА ДО РОБОТИ В ІНКЛЮЗИВНОМУ СЕРЕДОВИЩІ: ІНВАРІАНТНА СКЛАДОВА
Authors: Савінова Наталія , Берегова Марія
Published: March 2023

У статті ми експериментально перевірили ефективність підготовки майбутніх корекційних педагогів у ВНЗ до роботи в умовах інклюзивного навчального закладу, використавши метод анкетування та аналізу. Авторами проаналізовано проект Стандарту вищої освіти України за першим (бакалаврським) рівнем та за другим (магістерським) рівнем, з галузі знань 01 Освіта, спеціальності 016 Спеціальна освіта. У статті визначено компетенції, які найбільше виявляють особливості роботи корекційного педагога в умовах закладів освіти з інклюзивною формою навчання. Ми визначили, що загальні компетентності, необхідні для роботи у інклюзованому навчальному закладі, засвоюються під час вивчення дисциплін циклу гуманітарної та соціально-економічної підготовки та циклу природничої та наукової підготовки.
ПРОГРАМИ ПСИХОЛОГО-ПЕДАГОГІЧНОЇ ДОПОМОГИ ДІТЯМ РАННЬОГО ВІКУ З ПОРУШЕННЯМИ РОЗВИТКУ ТА ЇХ РОДИНАМ
Authors: Склянська Ольга
Published: March 2023

В статі висвітлені моделі психолого-педагогічної допомоги дітям раннього віку з порушеннями розвитку та їх родинам. Розкрито методологічні основи, принципи побудови та підходи до діагностики програм ранньої допомоги та раннього втручання В результаті аналізу представлених моделей визначено спільні риси та відмінності в підходах до організації допомоги дітям з порушеннями розвитку а їх родинам.
Factors Influencing Sustainability of Non-Governmental Organizations in the developing world
Authors: Gul Kanwal , Morande Swapnil
Published: March 2023

NGOs provide support services in developing countries when governments are unable to improve the growth indicators. There exists a requirement for sustainable NGOs that can help fill the gap between the needs of the people and the scarce resources available in developing countries. This study aimed to identify essential factors that are internally controllable by the NGO and to reflect on the impact of the internally controllable factors on the NGO’s sustainability. The study used established theories to investigate internal and external factors influencing NGOs and to identify the factors of significance. This qualitative research was designed with a systematic review followed by content analysis. It was undertaken in a developing country with a sample size of thirty-four using Purposive sampling. Analysis suggests that three variables including Financial Performance, Organizational Practices, and Community Interest have a statistically significant effect on sustainability. The study infers that considering the business environment, NGOs must focus on internal controllable factors. It also reiterates that NGOs should ensure a steady flow of funds, have robust management and should enjoy the support of the community to remain sustainable.
Problems of waste rock formation during mining of Western Donbass coal reserves: state-of-the-art and solutions
Authors: Petlovanyi M , Sai K , Stoliarska O
Published: March 2023

Purpose. The research purpose is to analyze and generalize the problems of waste rock accumulation, as well as to determine the directions for their possible solution in order to improve the ecological-economic conditions for mining coal reserves in the Western Donbass. Methods. A comprehensive scientific-methodological approach is used, which consists in studying regional accounts on the state of the environment, data from the register of waste disposal sites in the Dnipropetrovsk Oblast, peculiarities of placement of dumps according to the Google Earth program and collected mine data. To study the feasibility of processing dumps, a SWOT-analysis is used, as well as the analysis of existing technologies for processing the rock mass from waste dumps, based on foreign and domestic experience. Findings. Nine rock dumps have been identified, formed as a result of the functioning of the Western Donbass coal mines, where almost 130 million tons of waste rocks have been accumulated on an area of about 190 hectares. It is noted that the reclamation of disturbed lands as the main means of rock utilization is insufficient. Based on a thorough analysis of the SWOT-analysis results, a strategic direction for processing has been determined – the use of rock mass as a raw material for construction (materials and roads) with accompanying extraction of coal, aluminum and iron. The existing technologies for the processing of waste rocks have been systematized. It has been determined that the largest scaling of waste dump processing in the Western Donbass mines can be achieved with a combination of mechanical-chemical methods, among which gravity and magnetic beneficiation methods, mechanical grinding and chemical leaching are priority. Originality. The mechanisms for handling coal waste from coal mines in the Western Donbass have been determined to solve ecological-economic problems associated with their accumulation. Practical implications. The research results reveal possible ways of solving the problems of waste rock accumulation in the Western Donbass mines, which makes ecological and economic sense.
Análise da paisagem no tempo e espaço por meio da classificação supervisionada do município de Belém no período 2008 a 2020
Authors: Cid Yan Patrick Moita , Barros William Victor Reis de , Costa Merilene do Socorro Silva , Ribeiro Erick dos Santos , Marinho José Leandro Magalhães , Carneiro Francimary da Silva , Pinheiro Klewton Adriano Oliveira , Frazão Alex da Silva
Published: March 2023

Devido aos séculos de formação e desenvolvimento a história de Belém é confundida com a própria história do Pará. Porém ocorreram fatores que influenciaram a crise fazendo com que o território belenense urbanizasse de forma gradativa. O trabalho presente teve como objetivo analisar espacialmente a paisagem do município de Belém quanto as classes de floresta, vegetação área urbana, solo exposto e água, utilizando os conhecimentos sobre sensoriamento remoto e técnicas do geoprocessamento através da classificação supervisionada aplicando nas imagens dos anos de 2008, 2020 pelo software QGIS na versão 3.16.7, para demostrar a mudança do território belenense nesse intervalo de 10 anos. Com este método foi possível obter bons resultados e eficaz quanto as ferramentas da geotecnologia como ARCGIS tanto para realizar a classificação visual quanto a classificação supervisionada e o método de distância mínima obtiveram resultados satisfatórios, foi possível perceber nesse estudo que houve um decréscimo de 0,53% no ano de 2008 para 0,48% no ano de 2020 e um crescimento em relação de vegetação de 0,25% para 0,32%, enquanto a área urbana teve um crescimento de 0,13% em 2008 para 0,19% em 2020 e obteve um decréscimo em relação ao solo exposto de 0,09% para 0,08%. Com isso podemos enfatizar que o uso da geotecnologia contribui de forma significativa estudos sobre a dinâmica dos fenômenos naturais e auxilia na compreensão das mudanças de um território diante do tempo. Dessa forma essas ferramentas digitais, permite a construção de modelos para ações de antecipação a mudanças e minimização dos impactos.
Uso do georreferenciamento como ferramenta de planejamento sustentável da produção aquícola em pequenos municípios: estudo de caso para Ouro Verde do Oeste/PR
Authors: Werneck Pedro Rondon , Macedo Humberto Rodrigues , Morsoleto Felipe Misael da Silva , Lira Karen Carrilho da Silva , Feiden Aldi
Published: March 2023

Os pequenos municípios são importantes para o desenvolvimento socioeconômico regional. Os potenciais agropecuários podem ser expandidos quando planejados utilizando ferramentas de georreferenciamento que possibilitam gerar mapas, tais como: ocupação de solo, disponibilidade de recursos naturais, altimetria, dentre outros. visando o crescimento econômico com sustentabilidade ambiental. Este trabalho tem o objetivo de demonstrar o potencial do uso de georreferenciamento para estimular o crescimento econômico sustentável da produção piscícola em pequenos municípios. O município de Ouro Verde do Oeste foi escolhido para demonstrar a potencialidade das ferramentas de geotecnologias. Utilizou-se dados do IBGE – Instituto Brasileiro de Geografia e Estatística, e ferramentas de geolocalização, como o QGIS para criar os mapas de ocupação e uso do solo, quantificação e classificação de viveiros escavados no município. O custo de implantação de viveiros em locais com alta altimetria eleva os custos de implantação de empreendimentos.  Os mapas gerados através das ferramentas de georreferenciamento, cada vez mais, se tornam importantes para o planejamento correto da cadeia de produção, tanto aquícola, caso deste estudo, como nas demais cadeias produtivas.
Phenolic content and antioxidant activity of medicinal plants
Authors: Fernandes Vanessa Cristina , Queiroz Carla Regina Amorim dos Anjos , Almeida Eduardo Santos , Melo Claudia Maria Tomás
Published: March 2023

Medicinal plants have played an essential role in the development of human culture. Today, the contribution of plants in industries such as fine chemicals, cosmetics, pharmaceuticals, drugs, and industrial raw materials is remarkable. Recent studies have shown that plants have constituents with functional properties that effectively treat and prevent chronic degenerative diseases. Based on the importance of medicinal plants, this study aimed to quantify the total phenolic content and antioxidant activity of 10 medicinal plants. The phenolic content was quantified using the Swain and Hillis method with a Folin-Ciocalteau reagent, while the antioxidant activity was determined using a 2,2-diphenyl-1-picrylhydrazyl (DPPH) reagent. The samples were dried in a circulating air incubator at 60 ºC for 48 h before phenolic extraction. The compounds were extracted with 50% v/v ethanol, 50% v/v acetone, and distilled water. The results of this study showed that 80% of the plants analyzed had similar phenolic contents that were not statistically different, with an average content of 4.864 mg GAE g-1. The antioxidant activity ranged from 30% to 75%. The ability to scavenge free radicals was expressed as the percentage of inhibition of the oxidation of the radical. In addition, no significant differences were observed in the yield obtained from the extraction solvents, 50% v/v ethanol and 50% v/v acetone, used in this study.
Análise da composição corporal pode ser um parâmetro para aprimoramento do desempenho de atletas de futsal
Authors: Soares Ben Hur , Pasqualotti Adriano , Rodrigues Harrison Fabricio Muzzy , Silva Fabiano Leal , Manhabosco Tales Cristiano , Baldasso Alexandre José , Campos Fernando de Souza , Santana Sérgio dos Santos , Matzenbacher Fernando , Galelli Gabriel , Sandri Mauro Pires de Lima , Silva Elton Batista da , Romano João Carlos , Martins Raphael Roel , Rodrigues Eduardo Araújo , Bona Cleiton Chiamonti
Published: March 2023

Composição corporal é um fator para avaliação da capacidade física de atletas. Elevados índices de massa gorda limitam a velocidade e dificultam a execução de movimentos, comprometendo o desempenho dos atletas. Objetivo: Determinar o perfil de composição corporal de atletas de futsal. Metodologia: Trata-se de um estudo descritivo-analítico de cunho longitudinal. A população do estudo contemplou atletas de futsal que participaram da Liga Nacional de Futsal de 2022. A amostra do estudo contemplou um total de 186 atletas, perfazendo 48% da população. Foram realizadas medidas antropométricas de quatro dobras cutâneas: tríceps, subescapular, supra ilíaca e abdome, em três momentos distintos durante a realização dos jogos. As medidas foram realizadas por meio de um adipômetro científico. A técnica de amostragem adotada foi a aleatória simples. Foi utilizada a análise de variância para analisar as medidas repetidas com post hoc de Tukey. O nível de significância adotado foi 5% (p ≤ 0,05). Resultados: Houve variação significativa, nas três avaliações realizadas, dos índices de peso corporal total, percentual de gordura, massa magra e peso gordo entre a posição de ala com as demais posições táticas (p < 0,001). Não houve diferença significativa no percentual de gordura entre as posições táticas nas três avaliações realizadas. Conclusão: Medidas de composição corporal podem ser utilizadas como parâmetro orientativo e normativo para o aprimoramento do desempenho de atletas de futsal, entre as diferentes posições táticas. Conclusão: Ao comparar as posições táticas, foram encontradas diferenças significativas no peso corporal total, massa magra e peso gordo.
Sodium butyrate supresses malignant human mast cell proliferation, downregulates expression of KIT and promotes differentiation
Authors: MacDonald Clayton A. , Qian Hui , Pundir Priyanka , Kulka Marianna
Published: March 2023

Sodium butyrate (NaBu) is a class I histone deacetylase inhibitor (HDACi) that can impede the proliferation of transformed cells. Although some HDACi downregulate the expression of the stem cell factor receptor (KIT/CD117), the effect of NaBu on KIT expression and human mast cell proliferation requires further elucidation. In this study, we examined the effects of NaBu on three transformed human mast cell lines, HMC-1.1, HMC-1.2 and LAD2. NaBu (100 µM) inhibited the proliferation and metabolic activity of all three cell lines without significantly affecting their viability, suggesting that although the cells had ceased to divide, they were not yet undergoing apoptosis. Cell cycle analysis using the cell-permeant dye, propidium iodide, indicated that NaBu significantly blocked the cell cycle progression of HMC-1.1 and HMC-1.2 from G1 to G2/M phases. Furthermore, NaBu downregulated the expression of C-KIT mRNA and KIT protein expression in all three cell lines, but this effect was most significant in the HMC-1.1 and HMC-1.2, both of which harbour activating mutations in KIT, which proliferate more rapidly than LAD2. These data support earlier observations showing that human mast cell lines are sensitive to histone deacetylase inhibition. However, our data presents the novel observation that inhibition of cell proliferation by NaBu was not associated with a loss in cell viability but rather an arrest of the cell cycle. Higher concentrations of NaBu led to modest increases in histamine content, tryptase expression, and granularity. In conclusion, NaBu treatment of human mast cell lines led to a modest enhancement of the hallmarks of mature mast cells.
Considerations for shared decision-making in treatment of chronic rhinosinusitis with nasal polyps
Authors: Ramkumar Shreya P. , Lal Devyani , Miglani Amar
Published: March 2023

Shared decision-making is an approach where physicians and patients work together to determine a personalized treatment course. Such an approach is integral to patient-centered care in chronic rhinosinusitis with nasal polyps (CRSwNP). CRSwNP is a chronic inflammatory condition of the sinonasal cavity that can severely impact physical health, smell, and quality of life (QOL). Traditional standard-of-care treatment options include topical (i.e. sprays) and oral corticosteroids and endoscopic sinus surgery, but more recently, novel corticosteroid delivery methods (i.e. high volume irrigations, recently-approved exhalation breath-powered delivering devices, and drug-eluting steroid implants) and 3 new FDA approved biologics directed against type II immunomodulators have become available. The availability of these therapeutics offers exciting new opportunities in CRSwNP management but requires personalized and shared-decision making as each modality has variable impacts on CRSwNP and related comorbid conditions. Studies have published treatment algorithms, but the practical use of these lean guidelines is heavily influenced by the lens of the treating physician, the most common being otolaryngologists and allergy immunologists. Clinical equipoise occurs when there is no basis for one intervention to be regarded as “better” than another. While most guidelines, in general, support the use of topical corticosteroids with or without oral corticosteroids followed by ESS for the majority of unoperated CRSwNP patients, there are situations of clinical equipoise that arise particularly in CRSwNP who have failed surgery or those with severe comorbid conditions. In the shared decision-making process, clinicians and patients must consider symptomatology, goals, comfort, compliance, treatment efficacy, and treatment cost when determining the initial choice of therapy and escalation of therapy with the potential use of multiple modalities for recalcitrant CRSwNP. A summary of salient considerations that might constitute shared decision-making is presented in this summary.
Orally disintegrating tablets containing famotidine nanoparticles provide high intestinal absorbability via the energy-dependent endocytosis pathway
Authors: Nagai Noriaki , Ogata Fumihiko , Kadowaki Reita , Deguchi Saori , Otake Hiroko , Nakazawa Yosuke , Nagata Mayumi , Sasaki Hiroshi , Kawasaki Naohito
Published: March 2023

The permeability of the Biopharmaceutics Classification System (BCS) class III drugs are low, and their oral bioavailability needs to be improved. In this study, we attempted to design oral formulations containing famotidine (FAM) nanoparticles to overcome the limitations of BCS class III drugs. Dispersions containing FAM nanoparticles with a particle size of approximately 50–220 nm were produced by the bead-milling treatment. Moreover, we succeeded in preparing an orally disintegrating tablet containing FAM nanoparticles using the dispersions described above, additives (D-mannitol, polyvinylpyrrolidone, and gum arabic), and freeze-dry treatment (FAM-NP tablet). The FAM-NP tablet was disaggregated 3.5 s after addition to purified water, and the FAM particles in the redispersion of the FAM-NP tablet stored for 3 months were nano-sized (141 ± 6.6 nm). The ex-vivo intestinal penetration and in vivo absorption of FAM in rats applied with the FAM-NP tablet were significantly higher than those in rats applied with the FAM tablet containing microparticles. In addition, enhanced intestinal penetration of the FAM-NP tablet was attenuated by an inhibitor of clathrin-mediated endocytosis. In conclusion, the orally disintegrating tablet containing FAM nanoparticles improved low mucosal permeability and low oral bioavailability and overcame these issues of BCS class III drugs as oral formulations.
Mitochondrial DNA abnormalities and metabolic syndrome
Authors: Ding Xudong , Fang Tingting , Pang Xiaoqi , Pan Xueru , Tong Aiying , Lin Ziyi , Zheng Shikuan , Zheng Ningning
Published: March 2023

Metabolic syndrome (MetS) is a complex pathological condition that involves disrupted carbohydrate, protein, and fat metabolism in the human body, and is a major risk factor for several chronic diseases, including diabetes, cardiovascular disease, and cerebrovascular disease. While the exact pathogenesis of metabolic syndrome is not yet fully understood, there is increasing evidence linking mitochondrial dysfunction, which is closely related to the mitochondrial genome and mitochondrial dynamics, to the development of this condition. Recent advancements in genetic sequencing technologies have allowed for more accurate detection of mtDNA mutations and other mitochondrial abnormalities, leading to earlier diagnosis and intervention in patients with metabolic syndrome. Additionally, the identification of specific mechanisms by which reduced mtDNA copy number and gene mutations, as well as abnormalities in mtDNA-encoded proteins and mitochondrial dynamics, contribute to metabolic syndrome may promote the development of novel therapeutic targets and interventions, such as the restoration of mitochondrial function through the targeting of specific mitochondrial defects. Additionally, advancements in genetic sequencing technologies may allow for more accurate detection of mtDNA mutations and other mitochondrial abnormalities, leading to earlier diagnosis and intervention in patients with MetS. Therefore, strategies to promote the restoration of mitochondrial function by addressing these defects may offer new options for treating MetS. This review provides an overview of the research progress and significance of mitochondrial genome and mitochondrial dynamics in MetS.
DUS evaluation of nine intersubgeneric hybrids of Paeonia lactiflora and fingerprint analysis of the chemical components in the roots
Authors: Xu Shiyi , Liu Weili , Liu Xiubo , Qin Chen , He Lianqing , Wang Panpan , Kong Lingyang , Chen Xi , Liu Zhiyang , Ma Wei
Published: March 2023

Intersubgeneric hybrids of Paeonia lactiflora (Paeonia lactiflora pall., P. lactiflora.) cover a huge variety of systems in the genus Paeonia. In recent years, many studies have confirmed that the intersubgeneric hybrids of P. lactiflora. are rich in paeoniflorin and other medicinal ingredients, however, it has always proved difficult to clarify the medicinal value of the hybrids and whether they can be used for medicinal purposes. In this study, the consistency of the plant population was evaluated through DUS evaluation, in order to clarify whether the selected research materials had stability and consistency within the population and specificity between populations. The differences between the paeoniflorin contents in the roots of the nine intersubgeneric hybrids of the P. lactiflora. varieties and two medicinal varieties were critically compared. The differences in the chemical components of the roots of nine intersubgeneric hybrids of P. lactiflora. and reference medicine substances of P. lactiflora. and Paeonia anomala subsp. veitchii (Lynch) D. Y. Hong and K. Y. Pan (Paeonia veitchii Lynch., P. veitchii.) were explored via stoichiometric and chemical fingerprint high performance liquid chromatography analyses. The results showed that there were significant differences in the chemical compositions between the intersubgeneric hybrids of P. lactiflora. and the medicinal reference materials, and the contents of paeoniflorin were elevated such that the hybrids could be used as the raw material for extraction of paeoniflorin, thus providing an opportunity to explore the medicinal value of the hybrids. This study explored the key differential components among the varieties and provides a reference and basis for the study of the medicinal value and the identification of the intersubgeneric hybrids of the P. lactiflora. varieties.
Pulmonary arterial hypertension associated with congenital heart disease: An omics study
Authors: Zhao Maolin , Liu Jian , Xin Mei , Yang Ke , Huang Honghao , Zhang Wenxin , Zhang Jinbao , He Siyi
Published: March 2023

Pulmonary arterial hypertension associated with congenital heart disease (PAH-CHD) is a severely progressive condition with uncertain physiological course. Hence, it has become increasingly relevant to clarify the specific mechanisms of molecular modification, which is crucial to identify more treatment strategies. With the rapid development of high-throughput sequencing, omics technology gives access to massive experimental data and advanced techniques for systems biology, permitting comprehensive assessment of disease occurrence and progression. In recent years, significant progress has been made in the study of PAH-CHD and omics. To provide a comprehensive description and promote further in-depth investigation of PAH-CHD, this review attempts to summarize the latest developments in genomics, transcriptomics, epigenomics, proteomics, metabolomics, and multi-omics integration.
Research status and development trend of extracorporeal membrane oxygenation based on bibliometrics
Authors: Guan Cuizhong , Shen Hua , Dong Shiyong , Zhan Yuhua , Yang Jie , Zhang Qiu , Wang Rong
Published: March 2023

Background

Using bibliometric method to analyze the research status and development trend of extracorporeal membrane oxygenation (ECMO), we aim to provide clinicians, scientists, and stakeholders with the most up-to-date and comprehensive overview of ECMO research.

Materials and methods

Using Excel and VOSviewer, the literature on ECMO was systematically analyzed regarding publication trends, journal source, foundation, countries, institutions, core authors, research hotspots, and market distribution.

Results

There were five important time nodes in the research process of ECMO, including the success of the first ECMO operation, the establishment of ELSO, and the outbreak of influenza A/H1N1 and COVID-19. The R&D centers of ECMO were the United States, Germany, Japan, and Italy, and the attention to ECMO was gradually increasing in China. The products most used in the literature were from Maquet, Medtronic, and LivaNova. Medicine enterprises attached great importance to the funding of ECMO research. In recent years, the literature has mainly focused on the following aspects: the treatment of ARDS, the prevention of coagulation system-related complications, the application in neonatal and pediatric patients, mechanical circulatory support for cardiogenic shock, and ECPR and ECMO during the COVID-19 pandemic.

Conclusion

The frequent epidemic occurrence of viral pneumonia and the technical advancement of ECMO in recent years have caused an increase in clinical applications. The hot spots of ECMO research are shown in the treatment of ARDS, mechanical circulatory support for cardiogenic shock, and the application during the COVID-19 pandemic.