bluuebunny/crossref_metadata_2025 huggingface dataset:
Isolation and Characterization of Bacillus Subtilis BSP1 from Soil: Antimicrobial Activity and Optimization of Fermentation Conditions
Authors: Hellany Heba , Assaf Jean Claude , Barada Sara , el-Badan Dalia , Hajj Rana El , Abou Najem Sonia , Abou Fayad Antoine G. , Khalil Mahmoud I.
Published: August 2024

This study focused on the isolation, characterization, and evaluation of the antimicrobial and antioxidant activities of a crude extract from Bacillus subtilis isolated from rhizosphere soil. Through biochemical and physiological assessments, followed by whole genome sequencing, the isolate was confirmed as Bacillus subtilis BSP1. We examined the antimicrobial activity of B. subtilis BSP1 metabolites against various pathogenic bacteria and fungi. To enhance its antibacterial efficacy, we optimized the fermentation medium to maximize the secretion of antibacterial agents. Our findings demonstrated that the crude extract exhibited notable antimicrobial properties against various pathogenic bacterial and fungal isolates. The antioxidant test revealed a dose-dependent increase in the extract’s DPPH scavenging activity and reducing power, with an impressive 98.9% DPPH scavenging activity at 30 mg/mL. Importantly, safety assessments indicated a lack of hemolytic activity on human red blood cells, with only 1.3% hemolysis at 100 mg/mL, suggesting its potential suitability for practical applications. In summary, Bacillus subtilis BSP1, isolated from soil, appears to be a promising candidate for antibiotic production. Its significant antimicrobial and antioxidant properties, combined with its safety profile, highlight its potential applications in medicine, agriculture, and biotechnology.
Synthesis of Hureaulite Mn5(H2O)4(PO3OH)2(PO4)2 with an Open 3D Network Structure as Electrode Material for Electrochemical Capacitors
Authors: García Guajardo Cesar Iván , Zúñiga Martínez Jorge Alexis , Berlanga Pérez Roxana , López Pavón Luis Alberto , Lucio Porto Raúl
Published: August 2024

Mn5(H2O)4(PO3OH)2(PO4)2 with an open 3D network was prepared and studied as electrode material for electrochemical capacitors. The material exhibits a tunnel structure along the c axis, characterized by a hydrogen bond network formed by water molecules bonded to MnO6 octahedra and PO3-OH tetrahedra units, the latter containing an acidic proton. Electrochemical studies were conducted on both alkaline and neutral electrolytes, revealing a profile indicative of a rapid faradaic process coupled with pseudocapacitance and electrochemical double-layer capacitance. This study proposes a mechanism that involves the interaction between the acidic proton in the tunnel structure and OH− ions from the electrolyte, which diffuse through the hydrogen bond network. The material achieved a maximum specific capacitance of 184 Fg−1 at a scan rate of 5 mVs−1, with an areal capacitance of 4600 µFcm−2 in 3M KOH. This demonstrates its potential as a high-performance electrode for energy storage applications.
Electro-Mineralization of Aqueous Phenazopyridine Using Platinum Nanoparticles Deposited onto Multiwalled Carbon Nanotubes
Authors: Nassar Ibrahim M. , Nassar Heba , Assali Mohyeddin , Helal Muath H. S. , Han Hyobin , Kim Tae Woo , Salman Mazen , Hilal Hikmat S.
Published: August 2024

Water may easily become polluted by pharmaceutical wastes, such as phenazopyridine hydrochloride. The pollutant can be removed by electrochemical oxidation in the form of minerals. A novel electrode has been developed for this purpose. Pt nanoparticles (PtNPs) are electrodeposited onto multiwalled carbon nanotubes supported onto fluorine-doped tin oxide (FTO/Glass). The resulting PtNP@MWCNT-FTO-E electrode is characterized by X-ray diffraction, atomic force microscopy, scanning electron microscopy, electron diffraction spectroscopy and X-ray photoelectron spectroscopy. The electrode exhibits high efficiency in the electrochemical oxidation process thanks to the large specific surface area of the PtNPs and their ability to behave as charge transfer catalysts. The contaminant undergoes complete mineralization, leaving no organics after treatment. The resulting nitrate ions further confirm contaminant mineralization, but fortunately, they disappear over time, which confirms the safety of the process in water treatment. Moreover, the electrode operates under a variety of applied potentials, pH values, temperatures and contaminant concentrations. The electrode exhibits high stability upon recovery and reuse while retaining its physical characteristics before and after use. This study highlights the benefit of using Pt nanoparticles in the electro-degradation of aqueous organic contaminants, especially waste pharmaceuticals, for the first time. It also recommends scaling up the process and studying the continuous-flow reaction process to assess the economic and technical feasibility in future large-scale applications.
A Comparison of the Effects of Low-Temperature Vacuum Drying and Other Methods on Cauliflower’s Nutritional–Functional Properties
Authors: Pasten Alexis , Vega-Galvez Antonio , Uribe Elsa , Carvajal Manuel , Mejías Nicol , Araya Michael , Goñi Maria Gabriela
Published: August 2024

Employing low-temperature drying methods instead of high-temperature methods can help to deal with the challenge of preserving the nutritional and functional qualities of cruciferous vegetables. In the current study, the effects of low-temperature vacuum drying (LTVD), vacuum drying (VD), convective drying (CD), infrared drying (IRD) and vacuum freeze drying (VFD) on the nutrient composition, color, bioactive compounds, and antioxidant and antiproliferative properties of cauliflower were determined. All drying methods significantly affected the color and proximate composition. LTVD stood out against CD and IRD because the samples retained a better total phenolic content (TPC) and antioxidant properties. VFD was the most suitable for preserving the total flavonoid content (TFC) and antiproliferative properties. Meanwhile, VD offered superior retention of the γ-linolenic acid, linoleic acid, TPC and antioxidant properties of the samples. In general, LTVD did not stand out compared to its VFD and VD counterparts, with VD providing the best nutritional–functional properties in cauliflower.
Social Isolation as a Precipitating Factor for Charles Bonnet Syndrome in a Patient with Mild Visual Deterioration
Authors: Bhat Shriya Prakash , Shipchandler Abeezar , Tokunaga Chris
Published: August 2024

Charles Bonnet Syndrome (CBS) is characterized by complex visual hallucinations in individuals with acute vision loss, typically affecting older adults. Most CBS cases are observed in patients with sudden severe visual impairment; however, there are limited reports of CBS occurring in individuals with mild visual deterioration, particularly when confounded by sensory deprivation and social isolation. Here, we report a case of CBS in a female in her early 80s, who experienced vivid visual hallucinations during a period of prolonged social isolation following a hip surgery. Although symptomatology initially presented as delirium and psychosis, the diagnosis of CBS was confirmed after a neuropsychiatric evaluation and ophthalmologic exam, which showed mild deterioration in the patient’s macular degeneration, combined with a social history of reduced independence and increased isolation. The case highlights the lesser-known role of sudden lifestyle changes and reduced cognitive engagement in CBS development in cases of mild visual impairment. It also suggests that cognitive and social stimulation may play a crucial role in CBS management, which has limited reports in the current literature.
Enhanced Window-Based Self-Attention with Global and Multi-Scale Representations for Remote Sensing Image Super-Resolution
Authors: Lu Yuting , Wang Shunzhou , Wang Binglu , Zhang Xin , Wang Xiaoxu , Zhao Yongqiang
Published: August 2024

Transformers have recently gained significant attention in low-level vision tasks, particularly for remote sensing image super-resolution (RSISR). The vanilla vision transformer aims to establish long-range dependencies between image patches. However, its global receptive field leads to a quadratic increase in computational complexity with respect to spatial size, rendering it inefficient for addressing RSISR tasks that involve processing large-sized images. In an effort to mitigate computational costs, recent studies have explored the utilization of local attention mechanisms, inspired by convolutional neural networks (CNNs), focusing on interactions between patches within small windows. Nevertheless, these approaches are naturally influenced by smaller participating receptive fields, and the utilization of fixed window sizes hinders their ability to perceive multi-scale information, consequently limiting model performance. To address these challenges, we propose a hierarchical transformer model named the Multi-Scale and Global Representation Enhancement-based Transformer (MSGFormer). We propose an efficient attention mechanism, Dual Window-based Self-Attention (DWSA), combining distributed and concentrated attention to balance computational complexity and the receptive field range. Additionally, we incorporated the Multi-scale Depth-wise Convolution Attention (MDCA) module, which is effective in capturing multi-scale features through multi-branch convolution. Furthermore, we developed a new Tracing-Back Structure (TBS), offering tracing-back mechanisms for both proposed attention modules to enhance their feature representation capability. Extensive experiments demonstrate that MSGFormer outperforms state-of-the-art methods on multiple public RSISR datasets by up to 0.11–0.55 dB.
SHAP-Driven Explainable Artificial Intelligence Framework for Wildfire Susceptibility Mapping Using MODIS Active Fire Pixels: An In-Depth Interpretation of Contributing Factors in Izmir, Türkiye
Authors: Iban Muzaffer Can , Aksu Oktay
Published: August 2024

Wildfire susceptibility maps play a crucial role in preemptively identifying regions at risk of future fires and informing decisions related to wildfire management, thereby aiding in mitigating the risks and potential damage posed by wildfires. This study employs eXplainable Artificial Intelligence (XAI) techniques, particularly SHapley Additive exPlanations (SHAP), to map wildfire susceptibility in Izmir Province, Türkiye. Incorporating fifteen conditioning factors spanning topography, climate, anthropogenic influences, and vegetation characteristics, machine learning (ML) models (Random Forest, XGBoost, LightGBM) were used to predict wildfire-prone areas using freely available active fire pixel data (MODIS Active Fire Collection 6 MCD14ML product). The evaluation of the trained ML models showed that the Random Forest (RF) model outperformed XGBoost and LightGBM, achieving the highest test accuracy (95.6%). All of the classifiers demonstrated a strong predictive performance, but RF excelled in sensitivity, specificity, precision, and F-1 score, making it the preferred model for generating a wildfire susceptibility map and conducting a SHAP analysis. Unlike prevailing approaches focusing solely on global feature importance, this study fills a critical gap by employing a SHAP summary and dependence plots to comprehensively assess each factor’s contribution, enhancing the explainability and reliability of the results. The analysis reveals clear associations between factors such as wind speed, temperature, NDVI, slope, and distance to villages with increased fire susceptibility, while rainfall and distance to streams exhibit nuanced effects. The spatial distribution of the wildfire susceptibility classes highlights critical areas, particularly in flat and coastal regions near settlements and agricultural lands, emphasizing the need for enhanced awareness and preventive measures. These insights inform targeted fire management strategies, highlighting the importance of tailored interventions like firebreaks and vegetation management. However, challenges remain, including ensuring the selected factors’ adequacy across diverse regions, addressing potential biases from resampling spatially varied data, and refining the model for broader applicability.
Temporal Patterns of Vegetation Greenness for the Main Forest-Forming Tree Species in the European Temperate Zone
Authors: Kulesza Kinga , Hościło Agata
Published: August 2024

In light of recently accelerating global warming, the changes in vegetation trends are vital for the monitoring of the dynamics of both whole ecosystems and individual species. Detecting changes within the time series of specific forest ecosystems or species is very important in the context of assessing their vulnerability to climate change and other negative phenomena. Hence, the aim of this paper was to identify the trend change points and periods of greening and browning in multi-annual time series of the normalised difference vegetation index (NDVI) and enhanced vegetation index (EVI) of four main forest-forming tree species in the temperate zone: pine, spruce, oak and beech. The research was conducted over the last two decades (2002–2022), and was based on vegetation indices data derived from the Moderate Resolution Imaging Spectroradiometer (MODIS). To this end, several research approaches, including calculating the linear trends in the moving periods and BEAST algorithm, were adapted. A pattern of browning then greening then constant was detected for coniferous species, mostly pine. In turn, for broadleaved species, namely oak and beech, a pattern of greening then constant was identified, without the initial phase of browning. The main trend change points seem to be ca. 2006 and ca. 2015 for coniferous species and solely around 2015 for deciduous ones.
Short-Term Precipitation Radar Echo Extrapolation Method Based on the MS-DD3D-RSTN Network and STLoss Function
Authors: Yang Wulin , Yang Hao , Zhou Hang , Dong Yuanchang , Zhang Chenghong , Chen Chaoping
Published: August 2024

Short-term precipitation forecasting is essential for agriculture, transportation, urban management, and tourism. The radar echo extrapolation method is widely used in precipitation forecasting. To address issues like forecast degradation, insufficient capture of spatiotemporal dependencies, and low accuracy in radar echo extrapolation, we propose a new model: MS-DD3D-RSTN. This model employs spatiotemporal convolutional blocks (STCBs) as spatiotemporal feature extractors and uses the spatial-temporal loss (STLoss) function to learn intra-frame and inter-frame changes for end-to-end training, thereby capturing the spatiotemporal dependencies in radar echo signals. Experiments on the Sichuan dataset and the HKO-7 dataset show that the proposed model outperforms advanced models in terms of CSI and POD evaluation metrics. For 2 h forecasts with 20 dBZ and 30 dBZ reflectivity thresholds, the CSI metrics reached 0.538, 0.386, 0.485, and 0.198, respectively, representing the best levels among existing methods. The experiments demonstrate that the MS-DD3D-RSTN model enhances the ability to capture spatiotemporal dependencies, mitigates forecast degradation, and further improves radar echo prediction performance.
Advancing Electric Load Forecasting: Leveraging Federated Learning for Distributed, Non-Stationary, and Discontinuous Time Series
Authors: Richter Lucas , Lenk Steve , Bretschneider Peter
Published: August 2024

In line with several European directives, residents are strongly encouraged to invest in renewable power plants and flexible consumption systems, enabling them to share energy within their Renewable Energy Community at lower procurement costs. This, along with the ability for residents to switch between such communities on a daily basis, leads to dynamic portfolios, resulting in non-stationary and discontinuous electrical load time series. Given poor predictability as well as insufficient examination of such characteristics, and the critical importance of electrical load forecasting in energy management systems, we propose a novel forecasting framework using Federated Learning to leverage information from multiple distributed communities, enabling the learning of domain-invariant features. To achieve this, we initially utilize synthetic electrical load time series at district level and aggregate them to profiles of Renewable Energy Communities with dynamic portfolios. Subsequently, we develop a forecasting model that accounts for the composition of residents of a Renewable Energy Community, adapt data pre-processing in accordance with the time series process, and detail a federated learning algorithm that incorporates weight averaging and data sharing. Following the training of various experimental setups, we evaluate their effectiveness by applying different tests for white noise in the forecast error signal. The findings suggest that our proposed framework is capable of effectively forecast non-stationary as well as discontinuous time series, extract domain-invariant features, and is applicable to new, unseen data through the integration of knowledge from multiple sources.
Sustainable Corn Stubble Management Is Site Specific: A Study in Northeastern China
Authors: Wang Gang , Gao Xiaomei , Fu Minggang , Zhou Zihao , Song Kexin , Li Jie
Published: August 2024

Sustainable agriculture has garnered increasing attention in recent times, with corn stalk retention constituting a pivotal component of sustainable agricultural practices. Presently, whole corn stalk retention (CCR), three-year rotation corn stalk retention (TYR), and standing corn stalk retention (SCR) are prevalent corn stalk management techniques in northeast China. However, the question of which corn stalk management technique is best suited to specific local climates within northeast China remained unanswered. Therefore, this manuscript investigates the impact of these corn stalk management practices on nitrogen (N), phosphorus (P), potassium (K), and soil organic amendments by analyzing long-term practical data. To gather data for analysis, three locations with varying latitudes were selected. The results indicate that local climate has a significant influence (p < 0.05) on the decomposition process and level of retained corn stalks. In locations with sufficient annual accumulated temperature and precipitation, a larger amount of corn stalk retention is acceptable. For instance, CCR is deemed suitable for Liaoning Province in China. Conversely, in locations lacking sufficient annual accumulated temperature or precipitation, an excessive amount of corn stalk retention cannot decay completely within a given period. Consequently, farmlands cannot adsorb adequate soil nutrients or organic matter derived from decomposed corn stalks. Thus, TYR or SCR is more appropriate for Heilongjiang Province in China. The findings of this research can guide farmers in optimizing corn stalk management practices according to specific local climates.
Assessment of Indoor Air Quality in School Facilities: An Educational Experience of Pathways for Transversal Skills and Orientation (PCTO)
Authors: Langiano Elisa , Ferrara Maria , Falese Lavinia , Lanni Liana , Diotaiuti Pierluigi , Di Libero Tommaso , De Vito Elisabetta
Published: August 2024

Italy’s education landscape witnessed a significant reform with the introduction of alternating school–work programs known as the School–Work Alternating System (PTCO). This innovative approach aims to enhance students’ transversal skills and career orientation while addressing crucial health concerns, including indoor air and environmental quality within school environments. This study, conducted at an Italian high school in collaboration with a university as part of a PTCO initiative, engaged eight students in environmental monitoring data collection. The students focused on thermal comfort, CO2 levels, and microbiological pollutants, collecting data in 19 classrooms and other school areas using professional instruments during February 2019. The results revealed varying thermal comfort levels and acceptable room temperatures, but inadequate ventilation and elevated CO2 concentrations, particularly in crowded areas like the cafeteria. Microbial analysis identified potential health hazards, underscoring the need for proactive indoor air and environmental quality measures. Post-intervention data showed improved CO2 levels, suggesting increased student awareness about the importance of air circulation. Engaging students in indoor air and environmental quality research through PTCO fosters critical thinking and civic engagement, which are crucial for sustainable development. Advocating for improved ventilation and periodic indoor air and environmental quality assessments aligns with the United Nations’ 2030 Agenda for Sustainable Development, particularly Goal 3 (Good Health and Well-being) and Goal 4 (Quality Education). The PTCO initiative empowers students to tackle real-world challenges like indoor air and environmental quality, developing essential skills and promoting positive change. Further research and policy efforts are needed to ensure equitable access to healthy learning environments, contributing to both educational success and long-term environmental sustainability.
Understanding the Conflict between an Ecological Environment and Human Activities in the Process of Urbanization: A Case Study of Ya’an City, China
Authors: Zhou Yazhou , Huang Yong , Liu Wenyuan
Published: August 2024

In the process of human social development, the coupling and coordinated development of ecological function (EF), production function (PF), and living function (LF) are of great significance for sustainable development. In this study, an improved coupling coordination degree model (CCDM) is used to discover the coordination conflict between EF and a human settlement environment. The main work performed in this study is as follows: (1) A more objective weight value that can avoid analysis errors caused by a subjective judgment weight value is obtained. (2) A constitutive model of EF, PF, and LF is constructed, and then resilience indicators that reflect the burden of human activities in EF are proposed. (3) We find that, during the urbanization of Ya’an city from 2014 to 2018, the degree of coupling (DOC) between EF, PF, and LF is high, but the coupling coordination degree (CCD) between the three values is low; specifically, the DOC between EF and the other two values shows the biggest decline. (4) Finally, the resilience of EF is used to explain the decrease in coordination between EF, PF, and LF, while also explaining the obvious problem of a decrease in CCD between EF and the other two values. In this study, the method for calculating the DOC and COD is optimized, and then, a theoretical model for analyzing the ecological functions bearing the pressure of human activities from qualitative and quantitative perspectives is proposed. The research results can provide an analytical framework, path, and method for the coordinated development of “PF–LF–EF” in other regions.
Assessing Biodiversity and Threatened Species Disclosure among Top Saudi Companies
Authors: Alqubaysi Rayan , Musa Asaad Mubarak Hussien
Published: August 2024

This paper aims to investigate how much information is disclosed by leading Saudi companies regarding their practices related to biodiversity and conservation of species, as well as identify the individual reporting items that demonstrate the highest and lowest levels of disclosure across Saudi companies. The study’s sample comprised the 14 leading companies, which together represented 88% of the Saudi stock market’s overall value. The annual reports and sustainability reports for 2021, 2022, and 2023, as well as the company websites, were the content analyzed to identify any mentions or discussions related to biodiversity and the conservation of endangered species. The study found that while a small percentage (7.1%) of Saudi companies exhibited high levels of biodiversity disclosure, over half (57.2%) fell into the low disclosure category. Though a sizable portion (21.4%) showed moderate disclosure efforts, a concerning 14.3% exhibited no disclosure at all. Regarding the individual items, the items of biodiversity that were not disclosed were 52.8%, demonstrating the absence of accounting disclosure for most areas of biodiversity. While 23.5% is a poor disclosure, 19.6% is a medium disclosure, and 4.1% is a strong disclosure.
Impact of Green Work–Life Balance and Green Human Resource Management Practices on Corporate Sustainability Performance and Employee Retention: Mediation of Green Innovation and Organisational Culture
Authors: Lin Zi , Gu Hai , Gillani Kiran Zahara , Fahlevi Mochammad
Published: August 2024

Green work–life balance (GWLB) has emerged from sustainability and work–life balance (WLB) studies. The goal is to examine how GWLB policies benefit organisations. This focuses how individuals could reduce an organisation’s environmental impact. The sustainability of green human resource management (GHRM) practices and human resource (HR) operations has changed significantly in recent years. HR are an organisation’s most important assets. This study examines how GWLB and GHRM practices affect a corporate sustainability performance (CSP) and employee retention (ER) of UK’s industrial companies. It also examines how organisational culture (OC) andgreen innovation (GI), affect these aspects. This study surveyed 450 operational supervisors in a variety of manufacturing firms in the UK. A self-administered survey using a scale was used to collect data. SPSS 26 and Smart PLS 4 analysed the data. According to research, GHRM practices and GWLB programs improve CSP and ER. The data also show that GI mediates the relationship between GHRM practices, ER, GWLB, and CSP. In the UK manufacturing industry, OC helps maintain a GWLB, ER, implement environmentally friendly HR practices, and achieve CSP goals. This study will methodologically, practically, and theoretically affect HR specialists, academics, and corporate leaders.
Shrimp Depots: Quality Management Practices and Strategic Approaches in Bangladesh
Authors: Alam S. M. Nazmul
Published: August 2024

This study provides valuable insights into the sustainability of shrimp farming and supply chain practices in Bangladesh by focusing on quality management practices in shrimp depots across Paikgacha, Dacope, and Chokoria locations. Using qualitative interviews, surveys, and on-site observations, this study evaluates quality control measures focusing on procurement, processing, storage, product management, and record maintenance in shrimp depots. The depots typically maintained separate storage for shrimp and ice, with significant variability in capacity. The quality of the procured shrimp was assessed through visual and tactile inspections, with common contaminants including ‘push’ (adulterated shrimp), wood, and metal. The competition among depots was intense and driven by the need to secure stable shrimp supplies amid frequent shortages. The hygiene and sanitary conditions varied, with Paikgacha generally showing higher compliance with standards compared to Dacope and Chokoria. The record-keeping practices for shrimp sources were inconsistent, with most depots being unable to trace the exact origins of the purchased shrimp. The study reveals the complex dynamics of shrimp quality management practices in the depots. It highlights areas for improvement that can foster more sustainable and responsible practices in the shrimp industry. These improvements benefit the environment, the economy, and society at large, ensuring product quality and market competitiveness.
BDAC: Boundary-Driven Approximations of K-Cliques
Authors: Çalmaz Büşra , Bostanoğlu Belgin Ergenç
Published: August 2024

Clique counts are crucial in applications like detecting communities in social networks and recurring patterns in bioinformatics. Counting k-cliques—a fully connected subgraph with k nodes, where each node has a direct, mutual, and symmetric relationship with every other node—becomes computationally challenging for larger k due to combinatorial explosion, especially in large, dense graphs. Existing exact methods have difficulties beyond k = 10, especially on large datasets, while sampling-based approaches often involve trade-offs in terms of accuracy, resource utilization, and efficiency. This difficulty becomes more pronounced in dense graphs as the number of potential k-cliques grows exponentially. We present Boundary-driven approximations of k-cliques (BDAC), a novel algorithm that approximates k-clique counts without using recursive procedures or sampling methods. BDAC offers both lower and upper bounds for k-cliques at local (per-vertex) and global levels, making it ideal for large, dense graphs. Unlike other approaches, BDAC’s complexity remains unaffected by the value of k. We demonstrate its effectiveness by comparing it with leading algorithms across various datasets, focusing on k values ranging from 8 to 50.
Data-Driven Business Innovation Processes: Evidence from Authorized Data Flows in China
Authors: Gao Xueyuan , Feng Hua
Published: August 2024

The importance of data in current societal activities cannot be overstated, yet we know little about data governance and application. Using the Chinese Government Data Empowerment Initiative, this paper examines the process of data-driven business innovation. Using the staggered DiD model, we found that government data points effectively facilitate firms’ product innovation, with higher-quality data correlating with better innovation performance. Government-authorized data points aid firms in accumulating experience in applying and managing data, thereby enhancing their production performance. Furthermore, these data help firms improve the quality of their product innovations and achieve iterative product upgrades. We also found that government-authorized data points not only generate product innovations for government use but also stimulate the output of commercial product innovations. This research provides important insights into data governance and enterprise data management decisions.
Prospects for Time-Domain and Multi-Messenger Science with AXIS
Authors: Arcodia Riccardo , Bauer Franz E. , Cenko S. Bradley , Dage Kristen C. , Haggard Daryl , Ho Wynn C. G. , Kara Erin , Koss Michael , Liu Tingting , Mallick Labani , Negro Michela , Pradhan Pragati , Quirola-Vásquez J. , Reynolds Mark T. , Ricci Claudio , Rothschild Richard E. , Sridhar Navin , Troja Eleonora , Yao Yuhan
Published: August 2024

The Advanced X-ray Imaging Satellite (AXIS) promises revolutionary science in the X-ray and multi-messenger time domain. AXIS will leverage excellent spatial resolution (<1.5 arcsec), sensitivity (80× that of Swift), and a large collecting area (5–10× that of Chandra) across a 24-arcmin diameter field of view at soft X-ray energies (0.3–10.0 keV) to discover and characterize a wide range of X-ray transients from supernova-shock breakouts to tidal disruption events to highly variable supermassive black holes. The observatory’s ability to localize and monitor faint X-ray sources opens up new opportunities to hunt for counterparts to distant binary neutron star mergers, fast radio bursts, and exotic phenomena like fast X-ray transients. AXIS will offer a response time of <2 h to community alerts, enabling studies of gravitational wave sources, high-energy neutrino emitters, X-ray binaries, magnetars, and other targets of opportunity. This white paper highlights some of the discovery science that will be driven by AXIS in this burgeoning field of time domain and multi-messenger astrophysics. This White Paper is part of a series commissioned for the AXIS Probe Concept Mission; additional AXIS White Papers can be found at the AXIS website.
PENGARUH MOBILISASI PROGRESIF LEVEL I-V TERHADAP STATUS HEMODINAMIK PADA PASIEN POST VENTILASI MEKANIK DI ICU RUMAH SAKIT INDRIATI SOLO BARU
Authors: Rima Agustin Wahyu , Nur Zaidah Noviana , Apriyanti Ervina , Setiyawan Setiyawan
Published: August 2024

Mobilisasi progresif yaitu pemberian tindakan berupa teknik yang berfungsi sebagai pengobatan bertahap dan dilakukan kepada pasien kritis di Ruangan Intensive Care Unit. Mobilisasi pada pasien post ventilasi mekanik penting dilakukan karena dapat memperlancar peredaran darah, membantu pernapasan menjadi lebih baik, mengembalikan aktivitas pasien agar dapat bergerak normal dan memenuhi kebutuhan gerak harian, serta mengembalikan tingkat kemandirian pasien setelah operasi (Merdawati, 2018). Tujuan penelitian ini untuk mengetahui pengaruh mobilisasi progresif Level I-V terhadap status hemodinamik pasien post ventilasi di ruang ICU. Jenis penelitian ini kuantitatif dengan rancangan Pre Experimental, teknik sampling memakai metode non probability sampling dengan purpose sampling dan sampel yang digunakan sebanyak 30 responden, instrumen yang digunakan SOP mobilisasi progresif level I-V dan lembar observasi bed monitor. Uji Wilxocon yang dan didapatkan nilai P Value pada MAP Pre_Post yaitu 0,002, RR Pre_Post yaitu 0,001, Nadi Pre_Post yaitu 0,000, Suhu Pre_Post yaitu 0,009, dan SPO2 Pre_Post yaitu 0,000 (P Value < 0,005) yang artinya ada Pengaruh Mobilisasi Progresif Level I-V Terhadap Status Hemodinamik Pada Pasien Post Ventilasi Mekanik Di ICU Rumah Sakit Indriati Solo Baru.
Lipoplastia submentoniana como alternativa para rejuvenescimento cervical: uma revisão da literatura
Authors: Santos Sthefany Fernanda Candida dos , Cabral Ivyson Guilherme da Silva , Ferreira Luete , Silva Jaciele Barbosa da , Barros Gabriela Cecília Bezerra Rego , Nascimento Maria Misleynne da Silva , Silva Rafaela dos Santos , Santos Antônio Felipe Pessoa , Santana Dayanne Larissa Ferreira de , Ramos Adriano Costa
Published: August 2024

Objetivo: Compreender a evolução técnica de procedimento relativamente simples, seguro e quando bem indicado proporciona resultados valiosos para o rejuvenescimento cervical. Métodos: Esta revisão foi realizada de forma protocolada e critica, seguindo rigorosamente os critérios descritos a seguir. O estudo consiste de uma revisão integrativa, em que as evidências científicas foram buscadas nas bases de dados Pubmed, Lilacs, Embase e Scielo. Os descritores foram: Rejuvenescimento; Cervicoplastia e Lipoaspiração. Resultados: À medida que o envelhecimento facial se torna mais bem compreendido, fica cada vez mais claro que a flacidez dos tecidos moles é apenas uma parte de um processo de envelhecimento mais complexo Conclusão: A lipoplastia submental é procedimento seguro, de baixo custo, com técnica fácil e quando bem indicado traz resultados satisfatórios.
Estrategias familiares campesinos ante el covid-19, en el occidente de Jalisco, México
Authors: López Víctor Manuel Villalvazo , Bernal Víctor Manuel Sánchez , Sandoval Gerardo Cruz , Rodríguez Demetrio Meza , González Yerena Figueroa
Published: August 2024

La gran pandemia global del siglo XXI, llamada COVID-19, impactó no solo a las economías globales, si no también a las pequeñas economías locales. Tal es el caso del grupo “Color de la Tierra” en Jalisco, México, el cual es conformado en el año 2001 por un grupo de mujeres indígenas de origen náhuatl, que se organizaron (con apoyo institucional), para desarrollar un proyecto de autobasto y comercialización de agro productos locales basado en el manejo de sus recursos naturales, con el objetivo de mejorar sus condiciones de vida. La finalidad de esta investigación fue el análisis de las estrategias locales del grupo Color de la tierra para confrontar y mitigar la crisis de salud, económica y social ocasionada por la pandemia del COVID-19. Por lo tanto se hizo una investigación del tipo descriptivo, con entrevistas dirigidas a informantes claves analizando factores como: La diversidad biocultural y productiva, los conocimientos locales para el uso de esa biodiversidad y el uso paisajístico y recreacional del territorio. Se observaron algunas estrategias para confrontar la crisis del COVID-19, como el trueque, el consumo de productos locales y el micro financiamiento local, uso de recursos de los bosques, ríos, huertos de traspatio y parcelas, lo cual permite concluir que fueron estas estrategias las que permitieron disminuir la vulnerabilidad del grupo, ante los efectos del COVID-19, tanto en aspectos alimenticios, como de salud, mental recreacional y económicos entre otros.
Incidência de Infarto Agudo do Miocárdio em adultos jovens de Alagoas: uma análise de 2019 a 2022
Authors: Mendonça Iago Matos , Araújo Matheus Henrique Costa de , Fachin Laércio Pol , Costa Renata Nobre da , Costa Raíssa Tenório de Souza , Moura Ioli Menezes Vasconcelos , Miranda Beatriz Cordeiro de Godoy , Melo Isabela Vieira
Published: August 2024

Objetivo: Este estudo teve como objetivo avaliar a incidência de infarto agudo do miocárdio em adultos jovens entre os anos de 2019 a 2022 em Alagoas. Metodologia: Estudo descritivo epidemiológico, realizado em Alagoas, a partir do Sistema de Informações Hospitalares do Sistema Único de Saúde (SIH/SUS), no período de 2019 a 2020, e das seguintes variáveis: Cor/raça, macrorregião, sexo e idade. Resultados: Infere-se que os casos de IAM em adultos jovens tiveram aumento significativo em 2020 e apresentam atualmente 3,73% dos 3721 casos em Alagoas, sendo Maceió responsável pela maior parte deles (2308 casos). Nesse contexto, alguns outros fatores foram delimitados, tais como, sexo, em que homens representam 69,10% e cor/raça em que pardos representam 48,92%, Conclusão: Esse estudo contribui na delimitação dos grupos jovens que apresentam maior risco de desenvolver IAM e fornece dados que auxiliam na elaboração de medidas de prevenção de novos casos e direcionamento correto da conduta intra-hospitalar.
Complicações cardiovasculares na Dengue: revisão das evidências clínicas e epidemiológicas
Authors: Paula Filho Elder Gorza de , Reis Ana Laura Caixeta , Alves Henrique Freitas de Assunção , Praça Filho Tiago Cassini Teixeira
Published: August 2024

Introdução: O avanço populacional, as alterações climáticas e a urbanização contribuem para a disseminação de arboviroses em áreas urbanas. Em 2024, o Brasil registrou quase 50% dos casos mundiais de dengue. A dengue, causada pelo vírus DENV, apresenta sintomas como febre, cefaleia e, em casos graves, febre hemorrágica. A infecção pode levar a complicações cardiovasculares graves, como a miocardite, resultante da interação de citocinas pró-inflamatórias e ao aumento da permeabilidade vascular. Objetivo: Analisar a associação da miocardite em pacientes com dengue, como também o seu diagnóstico e as suas complicações no manejo. Metodologia: Foi realizada uma revisão integrativa nas bases de dados do MEDLINE para identificar estudos relevantes que associam a dengue ao envolvimento cardíaco. A seleção de artigos se baseou em estudos recentes, entre os anos de 2018 a 2024, língua inglesa, revisões sistemáticas, metanálises, estudo retrospectivo observacional, estudo longitudinal e série de casos. As palavras-chave utilizadas foram: “dengue”, “arboviruses”, “myocarditis”, “heart failure” e “cardiac involvement”. Resultados: Estudos recentes destacaram o envolvimento cardíaco no choque relacionado à dengue. Muacevic e Adler (2023) analisaram 104 pacientes, dos quais, 28 apresentaram comprometimento cardíaco, incluindo dor torácica e palpitações. Sud et. al (2023) relataram uma prevalência de miocardite de 4,2% entre pacientes com dengue grave. Buntubatu et al. (2019) encontraram uma prevalência de 78% de miocardite em crianças com dengue. Ninacio et al. (2023) reportou uma incidência de miocardite de 27,21% em 4.616 pacientes. Baqi et al. (2022) reportou uma mortalidade de 21,4 em pacientes que possuíam miocardite.    Discussão: A patogênese da dengue envolve extravasamento capilar e redução do volume intravascular, podendo evoluir para febre hemorrágica e choque. O manejo terapêutico foca na reposição de fluidos, mas o comprometimento cardíaco complica o tratamento. Estudos mostram a incidência variável de miocardite, com sinais como alterações no ECG e biomarcadores cardíacos elevados. A hidratação deve ser monitorada para evitar sobrecarga hídrica e edema pulmonar. Conclusão: O comprometimento cardíaco na dengue, especialmente a miocardite, resulta de uma tempestade de citocinas que causa extravasamento de plasma e disfunção cardíaca. A administração excessiva de fluidos pode agravar o edema miocárdico. Rastrear danos cardíacos é crucial para o diagnóstico precoce e manejo adequado, reduzindo complicações e mortalidade.
Psychiatric disorders in seropositive human for Toxoplasma gondii, with calcification in left temporal lobe - case report
Authors: Coelho Willian Marinho Dourado , Fox Thomas Oliver Carvalho , Rodrigues Bruno Freitas , Maziero Izabela , Santos Luiz Henrique Ferreira dos , Coelho Juliana de Carvalho Apolinário , Rosa Patrícia Raquel Basso , Storti Silvia Maria Marinho
Published: August 2024

The aim of this study was to report the occurrence of chronic psychiatric disorders in an elderly woman, seropositive for Toxoplasma gondii and with calcification formation in the left temporal lobe. The patient aged 65 years old was diagnosed with depressive disorder and panic with no obvious cause, after an episode of infection by dengue hemorrhagic fever. There were no changes in biochemical, hematological and hormonal parameters. By means of magnetic resonance imaging was detected a small calcification in the right temporal lobe. The patient was shown unresponsive to treatment with antidepressants and other therapeutic methods. Was detected in the serological analysis high titer of IgG, low titers for IgA and negative for IgM anti-T. gondii. Thus, neuropsychiatric disorders were described in an elderly woman seropositive for T. gondii, with calcification in the left temporal lobe, manifesting itself primarily in forms of depressive syndrome and panic, with poor response to treatment with antidepressant drugs and neurostimulation.
Os benefícios do método pilates na saúde de adultos e idosos: protocolo de uma revisão de revisões sistemáticas
Authors: Ribeiro Juliana Cruvinel , Becker Letícia Martins de Lima , Silva Gabriela Caldeira da , Souza Roberta Oliveira Bueno de , Neiva Jaqueline Freitas de Oliveira , Oliveira Ana Paula de Morais e , Melo Ruth Caldeira de
Published: August 2024

Objetivos: sintetizar as evidências científicas provenientes de revisões sistemáticas sobre os efeitos do método Pilates na saúde de adultos e idosos. Métodos: trata-se de uma revisão guarda-chuva, nos moldes da JBI. A estratégia de busca será aplicada em nove bases de dados. Os critérios de inclusão seguirão o mnemônico PICO (População: indivíduos > 18 anos; Intervenção: pilates; Comparador: grupo controle; Outcomes: desfechos em saúde). Serão incluídos os estudos em inglês, espanhol e portugues. Dois pesquisadores independentes analisarão os estudos e, em caso de discordância, um terceiro pesquisador será consultado (análise dos título/abstracts e leitura do texto completo). Os artigos incluídos serão analisados quanto à qualidade metodológica (Critical Appraisal Checklist for Systematic Reviews and Research Syntheses) e ao viés de sobreposição dos estudos primários. Após a extração de dados e a síntese dos resultados principais, a qualidade da evidência será analisada utilizando-se a ferramenta Grading of Recommendations, Assessment, Development and Evaluation. Resultados esperados: A partir dos resultados, espera-se contribuir para uma melhor compreensão dos efeitos do método Pilates à saúde de pessoas adultas e idosas, além da identificação de lacunas que poderão ser preenchidas em estudos futuros.
Diverticulite Aguda: uma revisão abrangente sobre etiologia, epidemiologia, diagnóstico e tratamento farmacológico e cirúrgico
Authors: Oliveira Davson Junior de , Freire Layla Pereira , Vieira Júlia Diniz Marra , Sampaio Lennyne de Oliveira , Vieira Luísa Diniz Marra
Published: August 2024

A diverticulite aguda (DA) é a inflamação ou infecção dos divertículos, pequenas bolsas na parede do intestino, especialmente no cólon. Sua etiologia não é completamente entendida, mas dietas pobres em fibras, constipação crônica e envelhecimento são fatores associados ao desenvolvimento dos divertículos. Quando estas bolsas se inflamam ou infeccionam, ocorre a diverticulite. Em termos de epidemiologia, a DA é mais comum em países ocidentais e afeta principalmente indivíduos acima dos 40 anos. A prevalência aumenta com a idade, sendo rara em jovens. Aproximadamente 10-25% das pessoas com doença diverticular desenvolverão DA. Fatores de risco adicionais incluem obesidade, sedentarismo, uso de anti-inflamatórios não esteroides (AINEs) e tabagismo. O diagnóstico é geralmente clínico, com base em sintomas como dor abdominal no quadrante inferior esquerdo, febre e alterações nos hábitos intestinais. Exames laboratoriais podem indicar infecção, como leucocitose. A tomografia computadorizada (TC) é o exame de imagem de escolha, permitindo visualizar a inflamação e excluir outras causas de dor abdominal. O tratamento farmacológico inclui antibióticos para combater a infecção e anti-inflamatórios para aliviar a dor. Casos leves podem ser tratados ambulatorialmente com antibióticos orais, enquanto casos graves podem requerer hospitalização e antibióticos intravenosos. Inicialmente, uma dieta líquida ou com baixo resíduo pode ser recomendada até a melhora dos sintomas. Em situações de DA complicada, como abscesso, perfuração ou peritonite, pode ser necessária intervenção cirúrgica. A ressecção segmentar do cólon afetado é comum, realizada por via aberta ou laparoscópica, e, em alguns casos, pode exigir a criação temporária de uma colostomia. A decisão cirúrgica baseia-se na gravidade da doença, resposta ao tratamento clínico e presença de complicações. Por fim, a abordagem deve ser abrangente, incluindo medidas preventivas, como uma dieta rica em fibras, além de intervenções médicas e cirúrgicas em casos graves, visando recuperação completa e prevenção de recidivas.
O uso de plantas medicinais por gestantes: uma breve revisão da literatura sobre os riscos embriotóxicos
Authors: Cavalcante Giani Maria , Araújo Alex Guimarães de , Brasil Claúdia de Carvalho , Capitó João Guilherme
Published: August 2024

As plantas medicinais são amplamente utilizadas pela população de gestantes com o intuito de minimizar os descorfortos inerentes ao período gestacional, entretanto, o uso sem orientação correta e prescrição de infusões ou outras formas destas plantas pode ocasionar problemas sobre o desenvolvimento embrionário em virtude da toxocidade apresenta por elas. O objetivo deste estudo foi realizar uma breve revisão da literatura sobre os riscos embriotóxicos de plantas medicinais. Trata-se de uma revisão de literatura com dados coletados através das bases de dados eletrônicos SCIELO, LILACS e MEDLINE, por meio dos seguintes descritores: Plantas medicinais; Fitoterapia; Toxicologia; Gestação. Nos resultados obtidos neste estudo, a espécie Plectranthuns barbatus, conhecido popularmente como boldo, foi o mais listado como usado por gestantes, o que necessita atenção, uma vez que o boldo apresenta princípios tóxicos como alcaloides e cumarinas, tendo como efeitos adversos os efeitos embriotóxico, abortivo e teratogênico. Através desta breve revisão foi possível entender a necessidade dos cuidados que as gestantes precisam ter quanto ao uso indiscriminado e sem orientação de plantas medicinas, em especial, na forma de infusão, pois muitas das plantas medicinais não possuem estudos que indiquem sua eficácia e segurança.