bluuebunny/crossref_metadata_2025 huggingface dataset:
Analytical Report on the Efficacy of Combination Therapy for Fungal Otitis Externa: Endoscopic VAS Analysis
Authors: Li Yan , Bai Guangping , Jin Yonggang
Published: May 2024

Purpose: Assess the clinical impact of combining sodium bicarbonate solution ear baths with perisone cream for treating fungal otitis externa using the VAS endoscopic scoring system.
Methods: In this study, 80 patients diagnosed with fungal otitis externa at our hospital between September 2023 and April 2024 were included. The experimental cohort received a combination of sodium bicarbonate solution and perisone cream, while the control group was administered saline along with perisone cream. Endoscopic assessments of the cleanliness of the external ear canal were conducted before and after treatment using the VAS scoring system. Compared and evaluated the endoscopic VAS scores at various time points and levels to assess the efficacy of combining sodium bicarbonate solution with perisone cream in treating fungal otitis externa.
Results: In the treatment of fungal otitis externa, significant differences in VAS scores between the experimental and control groups were observed on day 4 (t = -4.391, p < 0.001), signifying a notably superior treatment effect in the experimental group compared to the control group. By day 7, another comparison of VAS scores revealed continued substantial discrepancies between the two groups (t = -5.754, p < 0.001), with the therapeutic efficacy in the experimental group persisting as significantly better than that in the control group.
Conclusions: The synergistic use of sodium bicarbonate solution and perisone cream has demonstrated exceptional efficacy in treating fungal otitis externa. These results underscore the importance of broader adoption of this regimen within clinical settings, highlighting its significant potential for widespread application.
Multi-objective robust decision-making for optimizing Subway Station Support Systems under spatial variability of soil parameters
Authors: Mohammadi Elaheh , Nikoo Mohammad Reza , Javankhoshdel Sina , Ghahramani Arsalan , Jahanandish Mojtaba , Sousa Rita
Published: May 2024

In response to challenges in the design process of concrete arch pre-supporting systems (CAPS) for urban subway stations, we propose a novel approach that integrates robust multi-objective decision-making, ensemble learning, and clustering algorithms. This integrated framework aims to achieve an optimal design by considering both design objectives and geotechnical uncertainties and achieving a balance between safety and cost. While Multi-Objective Optimization (MOO) is widely used to balance multiple objectives, traditional methods like Genetic Algorithms often neglect uncertainties in variables. Most prior studies have concentrated on finding optimal solutions without considering variable uncertainties or their correlations. Our approach considers soil uncertainties, a critical factor often overlooked in real-world projects, and strives to understand how variability in soil parameters affects support system performance. In fact, this study introduces a comprehensive framework for managing the design of support systems for subway stations built using the CAPS method, under conditions of uncertainty in soil parameters. The proposed framework is designed to provide decision-makers with optimal support system parameters while also assessing the robustness of the system against uncertainties in soil. The framework combines various techniques such MOO, artificial neural networks, robust decision-making, Cholesky decomposition, and Bayesian learning. With this framework, designers can select solutions that align with their specific criteria while minimizing the impact of soil uncertainties. To improve this framework, future research can incorporate additional robustness evaluation metrics and consider uncertainties in other soil parameters. This comprehensive approach has significant potential for evaluating design alternatives through a range of multi-criteria decision-making methods.
Enhancing cycling stability in NaǁZn liquid metal batteries with Fe- based foam negative current collectors
Authors: Zhang Fang , Xu Junli , Liu Zhaoshun , Wang Duo , Kong Lingyu , Lv Ziyang , Diop Mouhamadou Aziz , Liu Aimin , Shi Zhongning
Published: May 2024

The corrosion resistance of the current collector seriously affects the capacity and stable cycling of liquid metal batteries (LMBs). This investigation explores the interface reactions and electrochemical properties between Ni-Fe and Fe foam negative current collectors and the liquid negative metals in Na|NaCl-CaCl2|Zn LMB. The results elucidate that Ni-Fe foam is erroded and the corrosion products of Ca2Ni5, and Ni2Zn11 are formed on the surface. It accelerates the deposition of Zn and the dissolution of Ni-Fe matrix, thereby leads to a decreation in discharge capacity of the battery. Specifically, the Na/NF‖Zn LMB exhibits a capacity degradation rate of 0.12% over 80 cycles at a current density of 100 m A cm− 2. However, the emergence of a Fe-Zn alloy on the Fe foam augments the corrosion resistance of the collector and the lifespan of the battery. This is evidenced by the Na/F‖Zn LMB maintaining 97.2% of its initial capacity after 328 cycles, which translates to a minuscule capacity attenuation rate of merely 0.00854%/ per cycle. This study further improves the perfomence of the negative current collector for NaǁZn LMBs, and provids a better candidate materials for the large-scale application of energy storage batteries.
Federated Learning for Secure and Efficient Vehicular Communications in Open RAN
Authors: Asad Muhammad , Shaukat Saima , Nakazato Jin , Javanmardi Ehsan , Tsukada Manabu
Published: May 2024

This paper presents a comprehensive exploration of federated learning applied to vehicular communications within the context of Open RAN. Through an in-depth review of existing literature and analysis of fundamental concepts, critical challenges are identified within the current methodologies employed in this sphere. A novel framework is proposed to address these shortcomings, fundamentally based on federated learning principles. This framework aims to enhance security and efficiency in vehicular communications, leveraging the flexibility of Open RAN architecture. The paper further delves into a rigorous justification of the proposed solution, highlighting its potential impact and the improvements it could bring to vehicular communications. Ultimately, this study provides a roadmap for future research in applying federated learning for more secure and efficient vehicular communications in Open RAN, opening up new avenues for exploration in this exciting interdisciplinary domain.
Site-characterization using 1D/2D/3D Site Response Modelling vis-à-vis Surface-consistent Probabilistic Seismic Hazard, Microzonation and Damage Potential Studies in the Six-Tectonic Ensemble consisting of Kashmir Himalaya to Northeast India
Authors: Nath Sankar Kumar , Biswas Arpita , Srivast Anand , Madan Jyothula , Ghatak Chitralekha , Bind Amrendra Pratap , Sengupta Arnab , Singh Pritam
Published: May 2024

Indian subcontinent, marked by its intricate seismotectonic settings stands out as the most active region in the globe. This study conducts a firm rock-compliant Probabilistic Seismic Hazard Assessment considering both tectonic and polygonal sources in 0-25km, 25-70km, 70-180km, and 180-300km depth ranges, Next Generation Attenuation models through a logic tree framework across the Tectonic Ensemble from Kashmir Himalaya to Northeast India encompassing six seismogenic tectonic provinces classifying the Ensemble in the 'High' to 'Severe' hazard regime, highlighting the need for a site-specific surface-consistent investigation that shear-wave velocity characterises the Ensemble into 11 site classes and estimates Surface-consistent Probabilistic Seismic Hazard of the Ensemble in the range of 0.25-2.91g for 475 years of return period using a systematic 1D/2D/3D site response analysis. Liquefaction Potential and Landslide Susceptibility Index adds secondary hazard to both geohazard and seismic hazard regime for a comprehensive seismic hazard microzonation of the important Cities and urban centres in the Tectonic Ensemble. The damage states modelled using capacity spectrum method on prevailing building types for the Surface-consistent Probabilistic PGA by SELENA are found to be well-aligned with the reported damage scenarios of A1, URM, and RC buildings triggered by large historical earthquakes in each of the tectonic provinces.
Chronic stress deficits in reward behaviour are underlain by low nucleus accumbens dopamine activity during reward anticipation specifically
Authors: Zhang Chenfeng , Dulinskas Redas , Ineichen Christian , Greter Alexandra , Sigrist Hannes , Li Yulong , Alanis-Lobato Gregorio , Hengerer Bastian , Pryce Christopher
Published: May 2024

Whilst reward pathologies e.g., anhedonia and apathy, are major and common in stress-related neuropsychiatric disorders, their neurobiological bases and therefore treatment are poorly understood. Functional imaging studies in humans with reward pathology indicate that attenuated BOLD activity in nucleus accumbens (NAc) occurs during reward anticipation/expectancy but not reinforcement; potentially, this is dopamine (DA) related. In mice, chronic social stress (CSS) leads to reduced reward learning and effortful motivation and, here, DA-sensor fibre photometry was used to investigate whether these behavioural deficits co-occur with altered NAc DA activity during reward anticipation and/or reinforcement. In CSS mice relative to controls: (1) Reduced discriminative learning of the sequence, tone-on + appetitive behaviour = tone-on + sucrose reinforcement, co-occurred with attenuated NAc DA activity throughout tone-on and sucrose reinforcement. (2) Reduced effortful motivation during the sequence, operant behaviour = tone-on + sucrose delivery + tone-off / appetitive behaviour = sucrose reinforcement, co-occurred with attenuated NAc DA activity at tone-on and typical activity at sucrose reinforcement. (3) Reduced effortful motivation during the sequence, operant behaviour = appetitive behaviour + sociosexual reinforcement co-occurred with typical NAc DA activity at female reinforcement. Therefore, in CSS mice attenuated NAc DA activity is specific to reward anticipation and as such potentially causal to deficits in learning and motivation. CSS did not impact on the transcriptome of ventral tegmentum DA neurons, suggesting that its stimulus-specific effects on NAc DA activity originate elsewhere in the neural circuitry of reward processing.
Efficient Automated Cardiovascular Disease Detection Using Machine Learning
Authors: Moridani Mohammad Karimi
Published: May 2024

Cardiovascular diseases pose a significant threat to global public health. Among diagnostic approaches, heart sound detection techniques offer non-invasive means for predicting cardiovascular conditions. While electrocardiogram (ECG) signals are commonly utilized for heart disease diagnosis, their limited spatial resolution necessitates alternative methods. Phonocardiogram (PCG) signals and sound processing techniques present viable alternatives. This paper explores the extraction of diverse features from PCG signals to classify patients using artificial intelligence algorithms. Simulation results demonstrate the superior performance of the XGBoost algorithm in cardiovascular patient detection compared to other methods. Specificity, sensitivity, and accuracy values were recorded at 99±1.93%, 98±2.76%, and 99±1.78%, respectively. Implementing the proposed method promises accurate and swift diagnosis of cardiovascular patients, offering significant support to healthcare professionals in patient screening. Future research avenues include extending this methodology to diagnose heart valve diseases, further enhancing its clinical utility.
Applying Large Language Model (LLM) for Developing Cybersecurity Policies to Counteract Spear Phishing Attacks on Senior Corporate Managers
Authors: Quinn Thomas , Thompson Olivia
Published: May 2024

Applying Google Gemini's generative AI capabilities, this research provided a novel approach to developing and implementing cybersecurity policies targeted at mitigating spear phishing attacks against senior corporate managers. The study demonstrated significant enhancements in the detection, prevention, and response strategies within corporate cybersecurity frameworks, by integrating advanced artificial intelligence with traditional security protocols. The application of machine learning algorithms not only improved the accuracy and speed of threat detection but also enabled dynamic policy adjustments based on real-time data analysis, proving crucial in the evolving landscape of digital threats. The findings underscore the potential of AI to transform cybersecurity practices, offering more adaptable, proactive, and robust defenses against increasingly sophisticated spear phishing techniques. Further, the study explores the implications of AI-driven policies for corporate governance and compliance, suggesting a new paradigm in which AI not only supports but actively defines strategic security decisions. The promising results invite further investigation into broader applications of AI in cybersecurity, pointing toward a future where AI integration is standard in the defense against complex cyber threats.
Personalized Web Services Composition Using Artificial Intelligence
Authors: Chebbi Imen , Abidi Sarra , Ayed Leila Ben
Published: May 2024

The process of creating new services by integrating existing ones is known as service composition. It is regarded as one of the most difficult tasks in a distributed and dynamic setting. In general, the composition process entails looking for existing services in a certain domain, selecting the suitable service, coordinating composition flow, and activating services. Researchers have been studying the need of web service composition using artificial intelligence extensively over the last few years. As a result, numerous solutions and novel approaches to addressing this issue are given. Our goal in this research is to use artificial intelligence to personalize web services composition. In our case, We employed natural language processing (NLP) to examine the descriptions and functionality of existing online services. Based on the user profile, AI algorithms can recommend and select appropriate services that meet the user’s needs. The experimental study shows that the proposed model can achieve robust results. In fact, our solution achieves 99.45% accuracy and 99.74% Precision.
Forecasting of Bitcoin Prices Using Hashrate Features: Wavelet and Deep Stacking approach
Authors: Heidary Gholamreza , Afrookhteh Meysam , Khaloo Hooman , Mousa Ramin
Published: May 2024

Digital currencies have become popular in the last decade due to their non-dependency and decentralized nature. The price of these currencies has seen a lot of fluctuations at times, which has increased the need for prediction. As their most popular, Bitcoin(BTC) has become a research hotspot. The main challenge and trend of digital currencies, especially BTC, is price fluctuations, which require studying the basic price prediction model. This research presents a classification and regression model based on stack deep learning that uses a wavelet to remove noise to predict movements and prices of BTC at different time intervals. The proposed model based on the stacking technique uses models based on deep learning, especially neural networks and transformers, for one, seven, thirty and ninety-day forecasting. Three feature selection models, Chi2, RFE and Embedded, were also applied to the data in the pre-processing stage. The classification model achieved 63% accuracy for predicting the next day and 64%, 67% and 82% for predicting the seventh, thirty and ninety days, respectively. For daily price forecasting, the percentage error was reduced to 0.58, while the error ranged from 2.72% to 2.85% for seven- to ninety-day horizons. These results show that the proposed model performed better than other models in the literature.
Valorization of rice straw via torrefaction and its effect on the physicochemical properties
Authors: Rafey Abdul , Pal Kunwar , Pant Kamal Kishore
Published: May 2024

The surplus biomass residue generated from biomass harvesting has enough potential for generating bioenergy and is a promising energy source for future use. Biomass possesses a high moisture content and low calorific value and therefore needs improvement to convert it into solid biofuel. In the present study, torrefaction of lignocellulosic biomass (rice straw) was carried out to enhance its physicochemical characteristics for producing high-grade biofuels and chemicals. For three sets of temperatures (200, 250, and 300°C) and residence times (30 minutes, 45 minutes, and 60 minutes), experiments were conducted in a batch reactor at a heating rate of 10°C.min− 1 in an inert environment. The torrefied products obtained were analyzed using various analytical techniques, such as proximate and ultimate analysis, calorific value measurement, and FTIR analysis. The results revealed that torrefaction at a mild temperature of 200°C and 30 minutes of residence time resulted in a maximum mass yield of 87% and an energy yield of 97%, which subsequently decreased at higher temperatures. The calorific value increased with increasing torrefaction temperature, with a maximum value of 19.50 MJ.kg− 1 occurring at 300°C and 60 minutes of residence time. Since H2O, CO, and CO2 are released upon torrefaction, a significant decrease in the number of hydroxyl groups was observed in the FTIR spectra. Despite the high calorific value at 300°C, 250°C and 30 minutes of residence time are the optimum torrefaction conditions for rice straw due to the significant mass and energy yield and the significant presence of amorphous carbon, as confirmed by Raman spectroscopy. This study will improve the physicochemical properties of rice straw for the production of high-value fuels, chemicals, and other high-strength materials.
FashionGen: AI driven fashion designing using GANss
Authors: U Manyatha , B Shreya , P Shraddha , Akshitha M , B Aruna Kumara
Published: May 2024

fashion image manipulation poses challenge in image transformation involving the integration of chosen clothing items into an input image traditional approaches typically rely on example images of the desired clothing design transferring them onto the target person a method known as virtual try-on in contrast this study delves into the realm of fashion image manipulation using textual descriptions offering advantages such as obviating the need for example images and enabling a broad spectrum of concepts through text however existing text-based editing techniques often face limitations due to the requirement for extensively annotated training datasets or their restricted capability to handle simple text descriptions to address these challenges we propose fashiongen fashion image rygeneration via text an innovative text-based manipulation model fashiongen augments the conventional gan-inversion by incorporating semantic pose-related and image-level constraints to generate desired images leveraging pretrained clip models fashiongen effectively imposes targeted semantics furthermore we introduce a latent-code regularization technique to enhance control over image fidelity and ensure synthesis from a well-defined latent space comprehensive experiments conducted on a dataset amalgamating viton images and fashion-gen text descriptions alongside comparisons with existing editing methods affirm fashiongens proficiency in generating realistic design images with superior transformation performance
Efficient Compression of Large Language Models: A Case Study on Llama 2 with 13B Parameters
Authors: Konishi Mariko , Nakano Kentaro , Tomoda Yoko
Published: May 2024

Efficient compression of large language models is important for enhancing computational efficiency and reducing the necessary virtual memory requirements for deployment in resource-limited environments. Employing a combination of advanced compression techniques—pruning, quantization, and knowledge distillation—this investigation explores the viability of reducing model size while maintaining high performance levels. Pruning reduces the number of non-critical parameters, significantly lowering the computational load. Quantization decreases the precision of the numerical data within the model, thus reducing the memory footprint without substantially affecting the model's ability to process data effectively. Knowledge distillation involves training a smaller, more compact model to replicate the predictive performance of the larger model, ensuring minimal loss of capability. The results demonstrate that the application of these techniques not only considerably enhances the speed of data processing but also reduces the operational costs and energy consumption, thereby supporting the deployment of powerful AI models in a wider variety of settings. The exploration confirms that while there is a slight reduction in accuracy and F1-score, the trade-offs are justifiable given the benefits gained in processing efficiency and resource utilization. By meticulously optimizing the balance between compression intensity and model performance, tailored solutions can be developed to meet specific operational needs, thereby expanding the practical applications of large language models in real-world scenarios. The outcomes underscore the transformative potential of model compression technologies to advance the field of artificial intelligence by enabling more sustainable and efficient AI deployments across diverse computational environments.
Evaluating Bioremediation Strategies on Microbial Diversity in Crude Oil-Contaminated Soil Over Three to Six Months in Port Harcourt, Nigeria.
Authors: Evans Fubara Gift , Nkalo Ukoima Hudson , Amachree Dokuboba , Raimi Morufu Olalekan
Published: May 2024

Rationale: The study aimed to evaluate the efficacy of various bioremediation approaches on microbial diversity in crude oil-contaminated soil over a duration of three to six months in Port Harcourt, Nigeria.
Objective: The objective was to assess the impact of different bioremediation strategies on microbial populations, particularly focusing on hydrocarbon-utilizing bacteria and fungi.
Method(s): Microbial populations were quantified using serial dilution and microbial count techniques. The vapor phase transfer mechanism was employed to estimate hydrocarbon-utilizing bacteria and fungi. Bacterial and fungal colonies were incubated for five days, followed by biochemical tests for isolate identification. Fungal pure cultures were observed under a microscope.
Results: The study observed a significant increase in microbial populations in soil free of crude oil pollution when bioremediators such as mushrooms and earthworms were introduced. Mushrooms exhibited a 50% increase in hydrocarbon-utilizing bacteria (HUB), while earthworms showed a 55% increase in HUB over the three to six-month period. The longer lifespan and nutrient absorption capabilities of earthworms facilitated faster growth. Furthermore, significant growth in the microbial population of hydrocarbon-utilizing bacteria and fungi was observed in crude oil-polluted soil after employing bioremediators, with the highest growth observed in soil treated with mushrooms at six months, followed by earthworms at six months. Conversely, the lowest microbial population was recorded in soil polluted with 10% crude oil and remediated with earthworms at three months.
Conclusions: The results suggest that both mushrooms and earthworms effectively increase microbial populations in crude oil-polluted soil. However, mushrooms demonstrated a higher microbial population increase compared to earthworms, especially in terms of promoting the growth of hydrocarbon-utilizing bacteria (HUB) and hydrocarbon-utilizing fungi (HUF).
Recommendations: Based on the findings, it is recommended to prioritize the use of mushrooms as bioremediation agents in similar environmental restoration efforts due to their superior efficacy in increasing microbial populations, particularly HUB and HUF.
Significance Statement: This study underscores the potential of mushrooms and earthworms as effective bioremediation agents for restoring microbial diversity in crude oil-contaminated soil, offering insights for sustainable environmental restoration practices in oil-affected regions like Port Harcourt, Nigeria.
Impact of Exchange Rate Volatility on the Manufacturing Sector Growth Performance in Nigeria
Authors: M Abiola Olawale
Published: May 2024

This study investigated the impact of exchange rate volatility on the manufacturing sector's growth performance in Nigeria from 1987 to 2022. Employing the Autoregressive Distributed Lag (ARDL) technique, the study utilized the Augmented Dickey Fuller (ADF) test to assess the stationarity of the variables. The regression analysis revealed a partial effect of the exchange rate on the manufacturing sector's growth. However, the study concluded that exchange rate volatility insignificantly influenced Nigeria's manufacturing sector throughout the examined period. It suggests that other factors, including government policies, global economic conditions, and domestic market dynamics, play pivotal roles in shaping the overall growth performance of the manufacturing sector.
Corporate Governance in Listed Firms: Does Market Competition Make a Difference?
Authors: Le Thi Thoan  , Vo Thi Ngoc Thuy
Published: May 2024

This study assesses the relationship between market competition and corporate governance by analysing 562 non-financial companies listed on the Vietnamese stock market from 2010 to 2019. We used the quantitative method through oridinary least squares (OLS) robust and feasible generalised least squares (FGLS) regression to control heteroscedasticity and autocorrelation, which is suitable with panel data to test the above relationship. According to the research results, market competition has complementary and alternative effects on corporate governance, as reflected in the positive and negative effects of the variable Herfindahl-Hirschman Index (HHI), a proxy for market competition, on corporate governance. Market competition has a support impact on corporate governance, which is more evident in board size, CEO duality, and CEO ownership. In contrast, the impact of market competition substituted corporate governance and reduced the role of corporate governance, as demonstrated by the independent board members. As a result, our study provides an extended understanding of the factors affecting corporate governance, primarily based on contingency theory. Furthermore, this study provides evidence for further research in this field and identifies a number of potential solutions for investors and regulators.
ROLA ADMINISTRACJI PUBLICZNEJ W ZASPOKAJANIU POTRZEB MIESZKANIOWYCH W POLSCE – POTRZEBA NOWEGO PODEJŚCIA
Authors: Pawłowski Sławomir
Published: May 2024

Przedmiotem opracowania jest analiza, w jakim stopniu współczesna administracja publiczna wywiązuje się z zadania w zakresie zaspokajania potrzeb mieszkaniowych. W tym względzie punktem odniesienia jest konstytucyjna norma programowa z art. 75. Obecna sytuacja w sektorze mieszkaniowym charakteryzuje się niezwykle utrudnionym dostępem do tego dobra, co implikuje pytanie, czy dotychczasowa polityka nie powinna zostać poddana rewizji. Doświadczenia ostatnich kilku dekad wskazują, że optymalnym rozwiązaniem jest zmierzanie w kierunku odstąpienia od modelu rynku mieszkaniowego na rzecz sektora mieszkaniowego, a więc mieszkalnictwa czynszowego. W takim modelu nacisk jest kładziony na aktywną rolę państwa w powiększaniu zasobu mieszkaniowego, a jego uzupełnieniem powinny być lokale socjalne oraz sektor prywatny. Systemy te mają być względem siebie komplementarne.
ROLNICTWO ZRÓWNOWAŻONE WOBEC WSPÓŁCZESNYCH WYZWAŃ
Authors: Żuchowska-Grzywacz Monika
Published: May 2024

Pojęcie zrównoważonego rolnictwa ma charakter wielopłaszczyznowy i wieloaspektowy. Koncentruje się na trzech flarach: środowiskowym, ekonomicznym i społecznym, jednocześnie zabezpieczając wysokość produkcji rolnej, jak i dbając o wymiar proekologiczny. Wobec dynamicznie rozwijającej się sytuacji geopolitycznej konieczna jest weryfikacja podejść stosowanych w ramach między innymi: rolnictwa konwencjonalnego, rolnictwa ekologicznego, intensywnie promowanego w ramach UE, czy właśnie rolnictwa zrównoważonego oraz próba odpowiedzi na pytanie, które z nich będzie obecnie tym najbardziej efektywnym. Artykuł dotyczy wybranych aspektów prawnych zrównoważonego rolnictwa i zależności pomiędzy tym modelem a innymi sposobami gospodarowania w rolnictwie. Celem niniejszego artykułu jest próba odpowiedzi na pytanie, czy można stwierdzić, że zrównoważone rolnictwo jest modelem optymalnym wobec współczesnych wyzwań. W ramach niniejszej analizy wykorzystane zostały metoda komparatystyczna i analiza treści w oparciu o akty prawne, artykuły naukowe, monografie i źródła internetowe.
POLITYKA SOCJALNA PAŃSTWA W WARUNKACH KRYZYSU ENERGETYCZNEGO: DODATEK WĘGLOWY, DODATEK OSŁONOWY I INNE FORMY WSPARCIA – AKTUALNE PROBLEMY
Authors: Oleksy-Piesik Izabela
Published: May 2024

Kryzys, który dotknął państwa Europy, wywołany chociażby wojną na Ukrainie, spowodował konieczność dokonania zmian w zakresie realizacji dotychczasowej polityki fiskalnej państwa i uzasadniał przejście do tzw. polityki antykryzysowej. Konsekwencje z tego wynikające widoczne stały się również w obszarach działań dotyczących kwestii socjalnych. W ramach rządowej tarczy energetycznej wprowadzono wiele skierowanych do obywateli rozwiązań, które miały zapewnić wsparcie w walce z wysokimi cenami energii i jej źródeł. Gospodarstwa domowe mogły skorzystać z dodatku węglowego, dodatku na inne źródła ciepła czy dodatku elektrycznego. Realizację zadań w tych obszarach przekazano samorządom terytorialnym, a konkretnie gminom. Organem właściwym w sprawach dodatków grzewczych czy dodatku osłonowego stał się w pierwszej instancji wójt, burmistrz, prezydent miasta, w drugiej samorządowe kolegia odwoławcze. Praktyka stosowania przepisów prawa, regulujących przyznawanie wymienionych form pomocy nie była i nadal nie jest pozbawiona trudności. Warto zwrócić uwagę między innymi na możliwość przyznawania dodatków elektrycznych osobom, które korzystają z energii na potrzeby własnego gospodarstwa domowego, jednak nie są stronami umowy na jej dostawę zawartej z przedsiębiorstwem energetycznym czy zasadność przyznania dodatku grzewczego kilku gospodarstwom domowym zamieszkującym pod jednym adresem w odrębnych lokalach.
KRAJOWA RADA RADIOFONII I TELEWIZJI WOBEC ZAGROŻEŃ PLURALIZMU MEDIÓW
Authors: Jaskuła Lidia K.
Published: May 2024

Temat „Krajowa Rada Radiofonii i Telewizji wobec zagrożeń pluralizmu mediów” wpisuje się w zagadnienie relacji administracji publicznej do współczesnych zagrożeń. Pluralizm mediów jest kluczowym elementem wolności prasy, a wolność prasy jest fundamentem demokracji. Główny problem artykułu został sformułowany w formie pytania: „Jaką pozycję zajmuje Krajowa Rada Radiofonii i Telewizji wobec zagrożeń pluralizmu radiofonii i telewizji?”. Badania przeprowadzone w pracy prowadzą do wniosku, że Krajowa Rada Radiofonii i Telewizji nie wypełnia należycie swoich zadań z zakresu wspierania pluralizmu mediów: w minimalnym stopniu eliminuje jego zagrożenia i w minimalnym stopniu zapewnia pluralistyczny charakter radiofonii i telewizji. Problemem nie jest brak instrumentów prawnych do podejmowania działań w tym zakresie, jak twierdzi Krajowa Rada Radiofonii i Telewizji, ale jej polityczna zależność, jako organu kolegialnego, od organów powołujących jej członków. Działaniem priorytetowym powinno więc być odzyskanie niezależności przez ten organ, co rodzi również pytanie o zasadność utrzymywania dotychczasowego modelu jego powoływania.
Formação Continuada, Para Quê?
Authors: Alves de Andrade Silvana , Rocha Damasceno Allan
Published: May 2024

Discutir os impactos que a formação continuada para docentes, ou a ausência dela, podem ocasionar para o processo de inclusão dos alunos público da Educação Especial. Os procedimentos metodológicos utilizados foram a análise documental e entrevistas semiestruturadas com os professores de uma escola pública municipal de Duque de Caxias. Os resultados dessa pesquisa revelaram que a formação continuada docente tem sido realizada, em grande parte, por iniciativas particulares dos professores e fora de seu horário de trabalho remunerado. Apesar de considerar o esforço dos professores louvável, essa realidade demonstra que não há políticas públicas estruturadas que garantam a formação continuada de professores preconizada na legislação em vigor. As condições de trabalho dos docentes estão precarizadas e exigem destes sacrifícios demasiadamente grandes para alcançar a formação necessária para promover práticas pedagógicas inclusivas.
Contribuições da Terapia Cognitivo Comporamental no tratamento da Dependência Tecnológica em Crianças e Adolescentes
Authors: De Almeida Toledo da Silva Cristiane , Viola Viana Juliana , Siqueira de Moraes Mesquita Vitor
Published: May 2024

A utilização dos dispositivos tecnológicos em excesso ocorre com maior frequência durante a infância e adolescência fazendo com que esse público seja suscetível a consequências à saúde mental. O presente artigo abordou a dependência tecnológica em crianças e adolescentes e teve como objetivo compreender de que forma a Terapia Cognitivo Comportamental (TCC) contribui para o tratamento da dependência tecnológica nesse grupo. Foi adotada a pesquisa bibliográfica e os materiais utilizados foram encontrados nas bases de dados da SciELO, Biblioteca Virtual em Saúde e PePSIC. O público infanto-juvenil que demonstra abuso no uso das tecnologias enfrenta problemas a longo prazo. Dessa forma, o estudo destacou alguns desses prejuízos, além de apresentar as contribuições da TCC no tratamento. A pesquisa mostrou que a TCC oferece intervenções eficazes para o tratamento dos sintomas da dependência tecnológica no público infanto-juvenil.
A síndrome de Burnout em Universitários e as Contribuições da Terapia Cognitivo Comportamental
Authors: Keller da Silva Ana , Lacerda Vilela Luana , Duarte Antão Sandra
Published: May 2024

O presente artigo elucida os impactos do estresse na saúde mental de universitários destacando a síndrome de Burnout como uma das consequências encontradas nesse contexto.   A metodologia utilizada foi a pesquisa bibliográfica, onde foram selecionados estudos que permitiram discorrer compreender como a Síndrome de Burnout pode afetar a vida do estudante universitário e apresentar quais práticas de saúde mental segundo a abordagem Cognitivo Comportamental podem auxiliar de forma preventiva.  A estrutura tradicional de ensino foi apontada como contribuinte para o surgimento e agravamento do burnout, sendo avaliada a importância de repensar o modelo de gestão das instituições de ensino superior, assim como a possibilitar de ofertar suporte emocional e psicológico adequado aos estudantes. É apontado ainda que os estudantes possam aprender a identificar seus próprios limites e estabelecer uma rotina saudável que inclua tempo para descanso, lazer e autocuidado.
O Letramento Racial como Fator de Enfrentamento ao Bullying nas Escolas
Authors: Da Glória Lobo Cíntia , Duarte Antão Sandra
Published: May 2024

As relações sociais nas escolas afetam diretamente o desenvolvimento de crianças e adolescentes através de experiências que podem ser saudáveis e outras que se mostram como fator de risco para o desenvolvimento de problemas socioemocionais. O bullying se mostra como um fator de alto impacto negativo. O presente trabalho tem por objetivo dialogar acerca do fenômeno do bullying nas escolas, tendo a criança negra como centro de análise. Pretende-se apresentar o conceito de racismo recreativo, pois este mostra-se como uma forma de dominação racial disfarçado de humor, gerando sofrimento nas vítimas e como isso pode afetar diretamente o rendimento escolar, trazendo prejuízos e danos aos alunos a curto, médio e longo prazo. Para tanto, foi realizada uma pesquisa bibliográfica, utilizando as plataformas Google acadêmico, Scielo, PEPSIC, bem como livros com autores que tratam sobre a temática do racismo. Dentre os artigos selecionados, foram escolhidos aqueles considerados como tendo maior relevância em relação ao tema. O estudo pretende ainda apontar caminhos para que diálogos para o enfrentamento possam ser construídos através do letramento racial, estimulando discussões que desenvolvam projetos que estimulem a equidade, respeito, empatia a todos, sem exceção de classe social, gênero e raça/etnia. Diante de tais pressupostos, o presente estudo evidenciou como possibilidade de intervenção estratégias sobre a importância do Letramento racial. A pesquisa demonstrou a escassez de projetos voltados para o combate à discriminação racial nas escolas, indicando o longo caminho a ser percorrido no que concerne ao desenvolvimento de estratégias práticas de intervenção.
Impacto da Pandemia de Covid-19 na Qualidade de Vida de Pacientes com Doenças Oncológicas Atendidos no Sistema Único de Saúde
Authors: Dias de Rossi Adriane , Santos Manoel Antônio , Correa dos Santos Jorge Henrique , Pillon Sandra Cristina , Arantes de Oliveira-Cardoso ÉRIKA
Published: May 2024

Indivíduos com diagnóstico de doenças neoplásicas foram considerados grupo de risco no cenário da COVID-19. Além das medidas protetivas preconizadas para a população geral, necessitaram adaptar-se a uma nova rotina de cuidados. Este estudo tem como objetivo avaliar o impacto da pandemia de COVID-19 na qualidade de vida de pacientes com câncer. Estudo descritivo-exploratório com abordagem quantitativa. A amostra foi composta por 30 pacientes adultos com câncer. Para coleta de dados foi utilizado formulário on-line. A maioria dos participantes era do sexo feminino, entre 41 e 61 anos. Metade relatou piora na qualidade de vida. Encontrou-se desobediência às regras de isolamento social e presença de sofrimento emocional, com relato de sintomas de ansiedade e depressão. Conclui-se que os participantes reconheceram prejuízos na qualidade de vida e maior vulnerabilidade em termos de saúde mental; apesar das fragilidades físicas, não seguiam adequadamente as orientações sanitárias recomendadas.
Mapeamento do registro do processo de enfermagem em idosos residentes na ILPI com covid-19
Authors: Rosa Cristiane dos Santos , Santana Rosimere Ferreira , Bitencout Graziele Ribeiro
Published: May 2024

Introdução: As instituições de longa permanência para idosos (ILPI) são modalidades de cuidados especializados que tendem a crescer devido ao envelhecimento populacional, a participação das mulheres no mercado de trabalho e redução do núcleo familiar. O contexto da pandemia da covid-19 aumentou a visibilidade dessas instituições, principalmente, no que tange aos registros das atividades profissionais. Objetivo: Este estudo objetivou identificar. Qual a produção bibliográfica disponível sobre o processo de enfermagem nas ILPIs no geral e no contexto da Covid-19. Materiais e métodos: Trata-se de uma revisão integrativa da literatura realizada nas bases de dados MEDLINE, LILACS e CINAHL, conforme a metodologia Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). A amostra constituiu-se de quatro artigos envolvendo a temática. Os estudos incluídos eram de países como Suecia, Islovenia e Brasil. Considerações finais: Evidencia-se a necessidade de aumento da produção de pesquisa sobre a temática na área da enfermagem. Sendo assim, se faz necessário a reflexão da documentação da prática de enfermagem, no sentido de dar visibilidade para o cuidado ao idoso no contexto da Covid-19, no que tange a abordagem dos registros do processo de enfermagem específico para as ILPIs contexto da pandemia e principalmente no contexto brasileiro, evidenciando a lacuna no conhecimento. Sendo assim, se faz necessário a reflexão da documentação da prática de enfermagem, no sentido de dar visibilidade para o cuidado ao idoso no contexto da COVID-19. 
Palavras-Chave: COVID-19; Instituição de Longa Permanência para Idosos; Processo de Enfermagem.
Explorando a diversidade do cuidado familiar prestado por jovens cuidadores
Authors: Rissi Gabrieli Patricio , Shibukawa Bianca Machado Cruz , Piran Camila Moraes Garollo , Uema Roberta Tognollo Borotta , Higarashi Ieda Harumi
Published: May 2024

Introdução: Os jovens cuidadores constituem um grupo de cuidadores informais ainda pouco percebidos e estudados. Logo, a pesquisa traçou como objetivo, mapear as evidências científicas sobre os tipos de cuidado familiar prestado por jovens cuidadores em domicílio. Materiais e método: Trata-se de um estudo bibliográfico, do tipo Scoping Review, segundo os pressupostos metodológicos apresentado pelo Instituto Joanna Briggs (JBI). A questão norteadora foi definida como: “Quais são as evidências científicas sobre os tipos de cuidado domiciliar prestado por jovens cuidadores?”. Serão incluídos todos os estudos encontrados nos idiomas inglês, espanhol e português, de domínio público e privado, e diferentes abordagens metodológicas. Serão excluídos os estudos que não responderem ao objetivo desta investigação, bem como os duplicados e os que não forem possíveis realizar a recuperação na íntegra. Serão utilizadas 11 bases de dados para o estudo. Os resultados serão apresentados utilizando um diagrama de fluxo, conforme preconiza a JBI. Serão utilizados ainda quadros e tabelas para facilitar a síntese dos registros incluídos na pesquisa. O protocolo desta Scoping Review foi registrado na Open Science Framework. Resultados esperados: Espera-se encontrar subsídios para sustentar o desenvolvimento de capacitações profissionais com foco na educação em saúde voltada para a família e, além de expectar melhorias na formação profissional, pretende-se ter embasamento para apoiar a criação de programas governamentais que visem auxiliar os jovens cuidadores.
Descritores: Cuidadores; Criança; Adolescente; Enfermagem.
Produção científica sobre saúde do homem e sua relação com teoria de Dorothea Orem
Authors: Silva Jorge Luiz Lima da , e Silva Vitor Gabriel de França , Santos Daiana Alves dos
Published: May 2024

Introdução: a enfermagem é uma das áreas que apresentam diferentes facetas, como caráter exemplificativo. Materiais e método: trata-se de uma revisão integrativa de literatura, utilizando fontes bibliográficas secundárias, sendo o levantamento feito em ambiente virtual. A revisão integrativa é conduzida de modo que possa se identificar, analisar e sintetizar resultados de estudos independentes sobre o mesmo assunto, sendo está tendo seis fases: elaboração da pergunta norteadora, busca na literatura, coleta de dados, análise crítica dos estudos incluídos, discussão dos resultados e por último a apresentação da revisão integrativa. Seguindo os passos da proposição da revisão, primeiramente foi elaborada a questão norteadora que é: como se relaciona a produção científica na saúde do homem com a Teoria de Dorothea Orem? Resultados: após a leitura, percebeu-se que a teoria era utilizada na idealização de como deveria funcionar a assistência em âmbitos específicos da saúde do homem. Discussão: a principal finalidade da ciência é perceber e entender os fenômenos da natureza, sendo considerada instrumento indispensável na incessante busca de respostas que satisfaçam as mais diversas necessidades. Produzir ciência em uma área específica é de suma importância para mudar e melhorar situações que sejam desfavoráveis e, ao relacionarmos isso com a área da saúde, percebe-se que a demanda por respostas está cada vez maior. Considerações finais: são necessárias mais pesquisas na saúde do homem se valendo da teoria de Orem para a mudança do panorama negativo que se encontra essa população.
Palavras-chave: Atividades científicas; Saúde do Homem; Teoria de Enfermagem.
Uso de práticas integrativas e complementares voltadas para a pessoa idosa
Authors: Oliveira Fabíola Marchon de , Valente Geilsa Soraia Cavalcanti , Messias Claudia Maria
Published: May 2024

As práticas integrativas são abordagens terapêuticas complementares que visam tratar a pessoa de forma holística, considerando os aspectos físicos, mentais, emocionais e espirituais. O uso de práticas integrativas pode ajudar a pessoa idosa a manter um equilíbrio saudável em todas essas áreas e promover seu bem-estar geral. Assim, este estudo teve como objetivo identificar, na literatura científica, quais práticas integrativas e complementares podem contribuir para uma melhor qualidade de vida à pessoa idosa. Trata-se de uma revisão integrativa com consulta em seis bases de dados. Foram encontradas 322 publicações e selecionadas 21 para compor esta revisão. Os estudos selecionados passaram por Análise Temática, de onde surgiram duas categorias: “Práticas Integrativas e Complementares Utilizadas por Adultos e Idosos” e “Recomendações e limitações do uso das PICS para pessoa idosa”. Conclui-se que pacientes oncológicos, portadores de doenças crônicas e pessoas idosas podem ser beneficiar amplamente das práticas integrativas, porém existe carência de estudos sobre qualidade de vida e os profissionais que também cuidam desta população carecem de informações acerca destas propostas. O ambiente da Atenção Primária pode ser considerado o primeiro contato do usuário com estas práticas e se faz necessário ampliar acesso e acessibilidade da população.
Palavras-Chave: Idoso; Envelhecimento; Terapias Complementares; Qualidade de Vida.
Histórias apagadas: mortalidade prematura por uso de substâncias psicoativas no estado de São Paulo de 2014 a 2018
Authors: Souza Juliana Cristina Martins de , Andrade João Vitor , Prates José Gilberto
Published: May 2024

Introdução: dentre os transtornos mentais, aqueles relacionados ao uso de substâncias, somando um custo de 35 bilhões de dólares mundialmente, sendo um grave problema de saúde publica, por estar relacionado à mortalidade prematura. Objetivo: traçar o perfil sociodemográfico e analisar o impacto dos óbitos prematuros ocorridos no estado de São Paulo em decorrência dos transtornos relacionados ao uso de substâncias. Método: Estudo ecológico considerando óbitos por uso de substâncias psicoativas entre indivíduos de 15 a 75 anos de idade (CID- F10 a F19) entre 2014 a 2018. Foram calculados valores brutos e taxas de óbitos/APVP por ano do óbito, sexo, cor/raça, escolaridade, estado civil e faixa etária. Realizou-se o teste Qui-Quadrado para estabelecer comparação. Resultados e discussão: nas faixas etárias de 15 a 74 anos o número de mortes foi de 4.533 óbitos, contabilizando uma taxa de mortalidade de 10,29 por 100.000 habitantes. O perfil da mortalidade foi de maior taxa de APVP em brancos (58.494 APVP), do sexo masculino (91.624 APVP), solteiros (5.626 APVP), com escolaridade entre 4 a 7 anos (31.990 APVP) e com faixa etária de 40 a 49 anos com (33.420 APVP). Considerações finais: teve-se por uso de substâncias 103.064 APVP no estado de São Paulo. E o perfil sociodemográfico encontrado foi de maior APVP em pessoas do sexo masculino, brancos, com baixa escolaridade e não casados. Embora, no período analisado tenha havido um decréscimo da mortalidade prematura, esta mortalidade ainda possui grande impacto, representado pelo valor social que a perda de uma vida tem.
Palavras-Chave: Abuso Oral de Substâncias; Transtornos Relacionados ao Uso de Substâncias; Mortalidade Prematura; Determinantes Sociais da Saúde.