bluuebunny/crossref_metadata_2025 huggingface dataset:
COVID-19 in the Asia Pacific: impact on climate change, allergic diseases and One Health
Authors: Pawankar Ruby , Thong Bernard Y , Recto Marysia , Wang Jiu-Yao , Abdul Latiff Amir Hamzah , Leung Ting-Fan , Li Philip H , Lobo Rommel Crisenio M , Lucas Michela , Oh Jae-Won , Kamchaisatian Wasu , Nagao Mizuho , Rengganis Iris , Udwadia Zarir F , Dhar Raja , Munkhbayarlakh Sonomjamts , Narantsetseg Logii , L Pham Duy , Zhang Yuan , Zhang Luo
Published: February 2024

Climate change and environmental factors such as air pollution and loss of biodiversity are known to have a major impact not only on allergic diseases but also on many noncommunicable diseases. Coronavirus disease 2019 (COVID-19) resulted in many environmental changes during the different phases of the pandemic. The use of face masks, enhanced hand hygiene with hand rubs and sanitizers, use of personal protective equipment (gowns and gloves), and safe-distancing measures, reduced the overall incidence of respiratory infections and other communicable diseases. Lockdowns and border closures resulted in a significant reduction in vehicular traffic and hence environmental air pollution. Paradoxically, the use of personal protective equipment and disposables contributed to an increase in environmental waste disposal and new problems such as occupational dermatoses, especially among healthcare workers. Environmental changes and climate change over time may impact the exposome, genome, and microbiome, with the potential for short- and long-term effects on the incidence and prevalence of the allergic disease. The constant use and access to mobile digital devices and technology disrupt work–life harmony and mental well-being. The complex interactions between the environment, genetics, immune, and neuroendocrine systems may have short- and long-term impact on the risk and development of allergic and immunologic diseases in the future.
Eosinophil granule proteins as a biomarker in managing asthma and allergies
Authors: Kim Chang-Keun , Callaway Zak , Pawankar Ruby
Published: February 2024

In the past few decades, biomarkers have been successfully used for the diagnosis, treatment, and monitoring of disease. Taking together clinical, genetic, lifestyle, and information on relevant biomarkers, the therapy of diseases can be personalized to an individual. Several novel biomarkers have been recently reported for allergic diseases. However, to interpret the validity of biomarker data, the validation of their reliability, precision, and reproducibility is imperative. Once validated, they can be used in therapeutic product development and in clinical practice. Eosinophils are multifunctional leukocytes and major effector cells that play a crucial role in the immunological mechanisms of allergic disease. Measuring eosinophils has been the gold standard for treating and monitoring eosinophil-related diseases such as asthma, atopic dermatitis, and allergic rhinitis. However, eosinophil numbers/percentages yield little information about eosinophil activity. Eosinophil activation leads to the extracellular release of 4 granule proteins, with the most promising biomarker of the 4 being eosinophil-derived neurotoxin (EDN). EDN is more easily recovered from measuring instruments and cell surfaces than other eosinophil biomarkers because of its weaker electrical charge. EDN is known to be released from eosinophils at a greater efficiency, adding to its recoverability. It also has antiviral activity in respiratory infections associated with allergic disease development in early life (eg, respiratory syncytial virus and human rhinovirus infections in early childhood). EDN can be measured in several body fluids, including blood, urine, sputum, nasal secretions, and bronchoalveolar lavage. EDN is a stable biomarker utilized to precisely diagnose, treat, and monitor many eosinophil-related allergic diseases. This eosinophil granule protein may prove useful in precision medicine approaches and should always be considered as a useful tool for the clinician to give the best patient care possible.
The pathophysiology of postacute sequelae of COVID-19 (PASC): Possible role for persistent inflammation
Authors: Marshall Gailen D.
Published: February 2024

Background:

As the SARS-CoV-2-induced pandemic wanes, a substantial number of patients with acute Corona Virus-induced disease (COVID-19 continue to have symptoms for a prolonged time after initial infection. These patients are said to have postacute sequelae of COVID (PASC) or “long COVID”. The underlying pathophysiology of this syndrome is poorly understood and likely quite heterogeneous. The role of persistent, possibly deviant inflammation as a major factor in comorbidity is suspected.

Objective:

To review data that address the relative importance of inflammation in the pathophysiology spectrum of PASC and to address how this would impact diagnosis and approach to therapy in patients identified as having such inflammatory abnormalities.

Methods:

A review of public databases, including PubMed, MeSH, NLM catalog, and clinical trial databases such as clinicaltrials.gov.

Results:

The literature supports a prominent role for various forms and types of inflammation in the pathophysiologic spectrum of PASC. Such inflammation can be persistent ant CoV-2-specific responses, new onset autoimmune responses, or a loss of normal immunoregulation resulting in widespread, sustained inflammatory pathologies that can affect both broad constitutional symptoms (such as fatigue, neurocognitive dysfunction, and anxiety/depression) and organ-specific dysfunction and/or failure.

Conclusions:

PASC is a significant clinical entity with similarities to and differences from other postviral syndromes. Significant research efforts are ongoing to better understand specific aberrant inflammatory pathways present in individual patients for the purpose of developing and implementing effective therapies and ultimately prophylaxis strategies to prevent the progression of COVID-19 as well as likely future viral illnesses and pandemics.
Drug allergy knowledge, attitude, and practice: A survey among doctors and pharmacists in public health facilities of Sabah, Malaysia
Authors: Kwan Melinda See Kee , Tan Sze Ling , Keowmani Thamron , Goh Sor Leng , Voo James Yau Hon , Tan Hoo Seng , Zakaria Mohd Ridzuan bin , Raman Sivaraj , Ho Jackie Chit Khong , Zainullah Faidin Diyanah Khan binti , Madi Nur’Ain binti , Itim Khamisah binti
Published: February 2024

Background:

Given the deficits in allergists and testing capacity, the diagnosis of drug allergy is largely dependent on the clinician’s and pharmacist’s judgment. The ability to recognize drug allergies and respond appropriately is crucial to patient safety. Currently, there is a void in the evidence that limits the ability to recommend comprehensive and swift improvements on this front.

Objective:

This study thus aimed to evaluate the knowledge, attitude, and practice toward drug allergy among doctors and pharmacists working in public healthcare facilities in Sabah, Malaysia.

Methods:

This cross-sectional study was conducted in 24 hospitals and 11 clinics in Sabah. A validated Drug Allergy Knowledge, Attitude, and Practice Questionnaire was adapted from a published study and developed on an online survey platform. The questionnaire was distributed to all listed eligible respondents via email and personal messenger service.

Results:

A total of 549 doctors and pharmacists responded, with an overall response rate of 18.2%. The total mean knowledge, attitude, and practice scores were 8.3 (SD, 1.98), 18.9 (SD, 2.55), and 17.3 (SD, 4.4), respectively. It was found that pharmacists performed significantly poorer than both medical officers (mean score difference = −0.5; P = 0.006) and specialists (mean score difference = −0.9; P = 0.020) in the knowledge domain. As the time in service doubles, the knowledge score increases significantly by 0.3 (P = 0.015).

Conclusion:

Knowledge, attitude, and practice on drug allergy among doctors and pharmacists in Sabah were poor. It is thus timely for advanced educational programs on drug allergy to be formalized and implemented.
Association of interleukin-13 gene single nucleotide polymorphism rs1800925 with allergic asthma in Asian population: A meta-analysis
Authors: Gaceja Kenneth V. , Ancheta Zaynah Faith R. , Buna Abigail Charisse A. , Clarencio Sandra Mae S. , Garrido Maria Angelica R. , Ramos John Donnie A.
Published: February 2024

Background:

The interleukin-13 (IL-13) gene has been associated with allergic asthma pathogenesis due to its role in IgE synthesis. The IL-13 single nucleotide polymorphism (SNP) rs1800925 has been implicated in exacerbated allergic asthma symptoms in different ethnicities.

Objectives:

To determine the association of IL-13 SNP rs1800925 with allergic asthma symptoms in the Asian population

Methods:

Major databases were searched for studies on the association of IL-13 rs1800925 with allergic asthma in various Asian populations published between 2010 and February 2022. The odds ratio with 95% CI was obtained from included studies, and the association was evaluated using different genetic models. Heterogeneity was explored by subgroup analyses and I
2 statistic evaluation.

Results:

Eleven studies with a total of 2895 cases and 2914 controls were included in this meta-analysis. The majority of the cases exhibited CC genotype (n = 1897), followed by CT genotype (n = 852), and TT genotype (n = 146). IL-13 rs1800925 was significantly associated with increased allergic asthma risk in the Asian population under the recessive model (TT vs CT/CC: OR, 1.48; 95% CI, 1.14–1.93; P = 0.37; I
2 = 08%). Subgroup analyses by ethnicity showed an elevated risk of allergic asthma in West Asians (Iranian and Saudi Arabian) followed by East Asians (Chinese and Japanese) using the recessive model. Both age groups (adults and children) exhibited an increased risk of allergic asthma.

Conclusion:

This meta-analysis provides evidence that IL-13 SNP rs1800925 is a risk factor for allergic asthma in the Asian Population. It also suggests that rs1800925 is a risk factor present in both adult and children population.
Activities and concentration of alpha-1 antitrypsin and cystatin C in serum from patients with house dust mite asthma
Authors: Hidayati Mailani Dwi , Iswanti Febriana Catur , Djauzi Samsuridjal , Koesnoe Sukamto , Sadikin Mohamad
Published: February 2024

Background:

The proteolytic activities of house dust mite (HDM) allergens are involved in the pathogenesis of asthma by cleaving T-junction protein complexes, increasing the permeability of airway epithelial cells, and enabling the allergens to reach the interstitial tissue. The human body contains natural protease inhibitors such as alpha-1 antitrypsin (AAT) with antiserine protease activity and cystatin C with anticysteine protease activity.

Objective:

This study aimed to investigate the behavior of serum AAT and cystatin C levels in patients with HDM-allergic asthma.

Methods:

Ten individuals with HDM-allergic asthma and 10 healthy volunteers participated in a cross-sectional study. The serum AAT and cystatin C inhibitory activities were measured using enzymatic assays. ELISA was used to determine the serum AAT and cystatin C concentrations.

Results:

Serum AAT inhibitory activity (P = 0.445; P > 0.05), AAT concentration (P = 0.290; P > 0.05), and cystatin C concentration (P = 0.419; P > 0.05) did not significantly differ between the patient and control groups. However, serum cystatin C inhibitory activity in the asthmatic patient group was significantly higher than in the healthy subjects (P = 0.001; P < 0.05). There was no correlation between AAT inhibitory activity and AAT concentration or between cystatin C inhibitory activity and cystatin C concentration.

Conclusion:

These findings suggest that serum cystatin C activity is involved in asthma pathogenesis. Additional research is required to address this issue.
Achieving Sustainability: Energy and Emission Metrics in the European Union, Bulgaria, Hungary, Italy, Poland and Romania’s Fossil Fuel-dependent Transportation
Authors:   The Institute for World Economy, The Romanian Academy, Bucharest 050711, Romania, Dumitrescu George-Cornel
Published: February 2024

Given the transport sector’s significant contribution to global greenhouse gas emissions and pollution, sustainable transportation is essential in mitigating climate change and environmental degradation. This study examines the final energy consumption and greenhouse gas emissions from fuel combustion in the transport sector of the European Union (EU), Bulgaria, Hungary, Italy, Poland, and Romania. It aims to offer a concrete tool for assessing the impact of transport on emissions by employing a quantitative analysis and ordinary least squares (OLS) models. Only the EU, Hungary and Romania’s results met the assumptions necessary for a valid linear regression model, thus elucidating the complex relationships between the analysed indicators.
Optimization of Traffic Accident Quantity Estimation Method Synergy of Factors Affecting Traffic Accident Quantity with Raw Values
Authors:   Stanislaw Staszic State University of Applied Sciences in Pila, ul. Podchorazych 10, 64-920 Pila, Poland, Gorzelanczyk Piotr , Tylicki Henryk ,   Stanislaw Staszic State University of Applied Sciences in Pila, ul. Podchorazych 10, 64-920 Pila, Poland
Published: February 2024

As the number of vehicles on the road increases, traffic accidents are becoming more destructive, causing loss of life and work. This is due to rapid population growth and the development of motorization. The most important challenge in estimating and studying information about street twists of fate is the small amount of facts available for this analysis. Although car accidents kill and injure millions of people around the world each year, they are rare in time and space. The motive of this article is to advise an effective approach to estimating the number of accidents on Poland’s roads, based primarily on a combination of factors affecting such layered situations. The methodology presented in this paper for the use of multi-criteria optimization procedures using a multi-criteria optimization model (a set of forecasting methods, sub-criteria of the criterion function, and elements of the dominance relationship) allows us to conclude that the above methodology can be used to optimize methods for forecasting road accidents in Poland.
Avian fig foragers in sustaining forest ecosystem in Kariyanshola, a heritage site of Anamalai Tiger Reserve
Authors: Ajayla Karthika T. , Ravichandran C.
Published: February 2024

Ficus species (Moraceae), play a pivotal role as keystone species within the forest ecosystem. They serve as a source of food for the frugivores in the forest, throughout the year. We conducted a survey of the frugivores in the protected area of Kariyanshola forest in Topslip and recorded the avian frugivores that feed on the fruits of fig trees. The study brought to light 31 species of birds from 7 families feeding on the figs of 7 different species of Ficus. Accentuating the richness of frugivores in the forest ecosystem helps in emphasizing the value of the keystone resources for those frugivores, which is the Ficus species. These fig trees that attract the various avian frugivores are suggested to be introduced in forest restoration activities to enrich the biodiversity of the area and enhance the health of the ecosystem.
Demystifying simulators for educators in healthcare
Authors: Goodwin Brendan , Nestel Debra
Published: February 2024

When entering the world of simulation development and scenario design for the first time, healthcare educators are often confronted with the perplexing diversity of simulation, which includes a vast array of educational experiences for learners. This essay seeks to demystify the growing number of technologies and simulators (commonly known as simulation modalities). Simulators can be classified as computer-based simulation, simulated participants (SP), simulated clinical immersion or procedural simulation, in addition to ‘mixed’ and ‘hybrid’ simulations. Each modality has intrinsic benefits and limitations, but ultimately their use must be guided by the desired learning outcomes of the learning experience, together with the appropriate realism required for the simulation. No matter the simulator being used, the ultimate experience of the learner is still arguably wholly dependent on good curriculum development, instructional design and scenario delivery.
Estimation of Depth to Water Table within a Tropical University Campus Using Direct Current Resistivity Method
Authors: Awuha Washima , Kur Anti , Amakiri Taribo Boumonyo
Published: February 2024

Ensuring access to clean and potable water is a global challenge, especially in regions like Nigeria where it is a pressing concern. Understanding the hydrogeological conditions, particularly the depth of the water table, is crucial for sustainable water resource management. In this study, we employed the direct current (DC) resistivity method to investigate the depth of the water table at the University of Calabar, Nigeria. Our approach involved measuring the electrical resistivity of subsurface materials to delineate the water table depth. The DC resistivity method emerged as a reliable and efficient tool for estimating the water table depth in our study area. By constructing a resistivity profile of the university campus, we uncovered valuable information about the subsurface hydrogeological conditions. Utilizing a multi-electrode resistivity system, we collected data at various depths and locations within the campus. These measurements were then processed using inversion techniques to produce a 2D resistivity image of the subsurface. This image revealed intriguing variations in subsurface resistivity, indicative of changes in composition and saturation of underground materials. Most importantly, our findings shed light on the depth of the water table, which ranged between 5.5m and 34.5m below the mean sea level. This information not only enhances our understanding of the University of Calabar’s hydrogeology but also contributes to broader efforts in sustainable water management and development strategies.
Fabrication and Testing of a Vapor Polishing Device for ABS 3D-Printed Parts
Authors: Gache Ciara Catherine , Mesa Sherwin , Prado Thea Clarice , Canonoy Christian , Pengson Jimwell , Tuazon Brian , Espino Michaela , Advincula Rigoberto , Dizon John Ryan
Published: February 2024

Post-processing plays a significant role in improving the surface and mechanical properties of 3D-printed parts. One of these post-processing methods is vapor polishing which utilizes acetone to polish 3D-printed Acrylonitrile Butadiene Styrene (ABS) specimen. This process is usually done using an improvised vapor polishing setup to achieve the desired surface finish of parts. Hence, in order to accomplish a uniform and standard polishing procedure for laboratory use, a vapor polishing device has been developed in this study. To assess the efficiency of the said device, the resulting surface roughness, dimensional accuracy, and tensile strength of ABS 3D-printed polished specimens have been evaluated and compared to unpolished specimen. The surface roughness of the cube specimen was captured using a Trinocular Microscope and was uploaded to the Mountains9 Topography software. Further, the dimensional accuracy of both polished and unpolished specimen has been measured using a digital Vernier Caliper. The data demonstrated that the polished specimen’s surface was enhanced while its shape, geometry, and dimension were preserved. Tensile tests on two (2) sample sets of polished and unpolished specimens revealed that polishing with acetone vapor using this developed device could improve the specimen’s tensile strength.
Phytochemical content, antioxidant capacity, and in vitro antibacterial activity of bran extracts of Philippine rice (Oryza sativa) cultivars
Authors: Manaois Rosaly , Zapater John Edward , Morales Amelia , Cacerez Jay Carl
Published: February 2024

Rice bran is a by-product of the milling process that contains compounds with possible therapeutic properties. However, it is underutilized. This study assessed the phytochemical content, namely free, bound, and total phenolic (TPC), flavonoid (TFC), and anthocyanin (TAC) contents; antioxidant capacity using the 2,2-diphenylpicrylhydrazyl (DPPH) radical scavenging assay; and in vitro antibacterial activity of crude extracts from the bran of six (one white, two red, three black) selected Philippine rice varieties. Cyanidin-3-glucoside (C3G) and trans-ferulic acid (TFA) were quantified through High-Performance Liquid Chromatography. The in vitro antibacterial activities of extracts (0.1, 0.5, and 0.7 g/mL) against the gram-positive food pathogens Staphylococcus aureus and Clostridium perfringens were evaluated by agar well diffusion assay. Of the five samples, the red rice Kamanga recorded the highest free phenolics (121.01 mg gallic acid equivalents (GAE)/g), TFC (90.14 mg rutin hydrate equivalents/g), and DPPH antioxidant capacity (368.23 µmol Trolox equivalents/g). Generally, black brans had higher TAC, especially Ominio (17.81 mg C3G equivalents/g), which also had the highest bound phenolic content (125.6 mg GAE/g). C3G was only detected on black brans, with at least six-fold more in Ominio than in the other tested varieties. Only the extracts from pigmented varieties, except Ominio, displayed inhibitory potential against the food pathogens, implying that C3G is not the major component imparting the inhibitory activity in the black rice varieties. Therefore, pigmented rice brans can be explored as cheap sources of phytochemicals with antioxidant capacities and natural antibacterial agents for the food and pharmaceutical industries.
Pengaruh Dimensi Kepuasan Hidup Terhadap Indeks Kebahagiaan: Perspektif Regional Di Indonesia
Authors: Basmallah Fikri Dias , Muchtar Masruri , Sihombing Pardomuan Robinson
Published: February 2024

Life satisfaction and happiness are crucial aspects of societal well-being. This research aims to observe the influence of life satisfaction dimensions on the happiness index in Indonesia. In this study, life satisfaction dimensions encompass personal aspects such as housing and asset conditions, health, household income, and employment. Utilizing cross-sectional data from 34 provinces in Indonesia for the year 2021, this research employs a quantitative research method, conducting multiple linear regression analysis on secondary data sourced from Indonesia Central Statistics Agency. The research findings indicate that health and employment have a positive and significant impact on the happiness index, with coefficients of 0.4370798 for the health variable and 0.2876573 for the employment variable. Meanwhile, housing and asset conditions, as well as household income, exhibit an insignificant influence on the happiness index. These results can serve as a foundation for the formulation and implementation of government policies or programs aimed at enhancing the happiness level of Indonesian society.
Kepuasan hidup dan kebahagiaan merupakan aspek yang penting bagi kehidupan masyarakat. Penelitian ini bertujuan untuk mengamati pengaruh dimensi kepuasan hidup terhadap indeks kebahagiaan masyarakat Indonesia. Pada penelitian ini, dimensi kepuasan hidup meliputi aspek-aspek personal seperti kondisi rumah dan aset, kesehatan, pendapatan rumah tangga, dan pekerjaan. Penelitian ini menggunakan data cross section yang terdiri dari 34 provinsi di Indonesia pada periode tahun 2021. Melalui metode penelitian kuantitatif, analisis regresi linear berganda dilakukan terhadap data sekunder yang bersumber dari Badan Pusat Statistik. Hasil penelitian menunjukkan bahwa kesehatan dan pekerjaan memiliki pengaruh positif dan signifikan terhadap indeks kebahagiaan dengan nilai koefisien masing-masing sebesar 0,4370798 untuk variabel kesehatan, dan sebesar 0,2876573 untuk variabel pekerjaan. Sementara itu variabel kondisi rumah dan aset, serta pendapatan rumah tangga menunjukkan pengaruh tidak signifikan terhadap indeks kebahagiaan. Hasil ini dapat menjadi landasan dalam perumusan maupun pelaksanaan kebijakan atau program pemerintah yang bertujuan untuk meningkatkan tingkat kebahagiaan masyarakat Indonesia.
Deep Fake Face Detection Using Deep Learning Tech with LSTM
Authors: Journal IJSREM
Published: February 2024

The fabrication of extremely life like spoof films and pictures that are getting harder to tell apart from actual content is now possible because to the quick advancement of deep fake technology. A number of industries, including cybersecurity, politics, and journalism, are greatly impacted by the widespread use of deepfakes, which seriously jeopardizes the accuracy of digital media. In computer vision, machine learning, and digital forensics, detecting deepfakes has emerged as a crucial topic for study and development. An outline of the most recent cutting-edge methods and difficulties in deep fake detection is given in this abstract. In this article, we go over the fundamental ideas behind deepfake creation and investigate the many approaches used to spot and stop the spread of fake news. Methods include sophisticated machine learning algorithms trained on enormous datasets of real and fake media, as well as conventional forensic investigation. We explore the principal characteristics and artifacts that differentiate authentic video from deepfakes, such as disparities in audio-visual synchronization, aberrant eye movements, and inconsistent facial emotions. Convolutional neural networks (CNNs) and generative adversarial networks (GANs), two deep learning frameworks, have been used by researchers to create sophisticated detection models that can recognize minute modifications in multimedia information. The fast developments in deep fake generating techniques, however, continue to exceed efforts in detection and mitigation, making deep fake detection a daunting problem. The issue is made worse by the democratization of deepfake technology and its accessibility to non-experts, which calls for creative solutions and multidisciplinary cooperation to counter this expanding danger. Keywords: convolutional neural network,, generative adversarial network, deep fake ,long short term memory,
A Survey on Computer Vision and Its Applications
Authors: SAHU DEVBRAT , ANJUM KHAN GOUSIA HAZRA , AKHTER PARVIN
Published: February 2024

Computer vision is an artificial intelligence field that teaches computers to interpret and comprehend images. Using digital images from cameras, movies, and deep learning models, machines can precisely identify and locate objects, then react to what they "see." As computer vision progressed, programming methods were developed to address specific problems. With practice, machines improved their vision recognition abilities. Deep learning techniques and technology have advanced dramatically over the years. We can now programme supercomputers to self-train, self-improve over time, and deliver capabilities to enterprises as web applications. Keywords— Solid-state physics, Neurobiology, Signal processing, Robotic Navigation, Distinctions
Perspectivas Quirúrgicas del Hemotorax : Abordaje y Resultados en la Cirugía General
Authors: Navarro Laguna Jaime Andrés , Guevara Suárez Katerine Elizabeth , Cedeño Farias Gema Marianela , Jami Suárez Génesis Michelle , Coronel Sánchez Kristhel Leonela , Martínez Gutiérrez José Andrés , Gualancañay Zurita Yosselin Yolanda
Published: February 2024

Introducción: El hemotórax es una patología constituye un problema de salud y pone en peligro la vida del paciente si no se diagnostica y trata a tiempo. Un examen físico exhaustivo es importante para descartar lesiones que requieran tratamiento de emergencia. Además de prevenir complicaciones, tomamos en del estado general de los pacientes para lugar seleccionar los métodos adecuados de diagnóstico clínico y tratamiento

Desarrollo: El desarrollo aborda todo lo relacionado con las perspectivas quirúrgica del hemotórax. Además, se aborda la etiología, diagnóstico, tratamiento, fisiopatología, complicaciones y los resultados en la cirugía general. Llegando a la conclusión. con las futuras líneas de investigación con respecto a la temática abordada en el artículo.

Conclusiones: El diagnóstico temprano es clave en la evolución del hemotórax. La enfermedad conlleva un riesgo no despreciable de complicaciones que pueden poner en riesgo la vida de los pacientes o permanecer con secuelas que incidan en una mala calidad de vida. Por lo que la patología se debe estudiar a profundidad, ya que su presentación clínica es dinámica y compleja.
Some Types of Nano Penta Regular Spaces
Authors: Hilal Anaam M , Yaseen Rana B
Published: February 2024

The goal of our study is to obtain a new space, which we called the Nano Penta regular space, by studying three cases independent of each other in terms of the number of equivalence relationships for the universe set and its subset. Its properties and its relationship to some Nano Penta separation axioms were discussed and the strongly NpNp-Regular space and its relationship to the Nano Penta regular space was studied.
Effects of morphine on conditioned place preference and pain are independent of uptake‑2
Authors: Souri Mohammad Saeid , Alavi Mohaddeseh Sadat , Salami Ali Ahmadian , Roohbakhsh Ali
Published: February 2024

Morphine changes neurotransmitter release, including norepinephrine, dopamine, and serotonin. Decynium‑22 (D22) inhibits an alternative neurotransmitter removal pathway, namely uptake‑2. Uptake‑2 includes plasma membrane monoamine transporter (PMAT) and organic cation transporters that have a low affinity, but high capacity for uptake of various monoamines such as norepinephrine, dopamine, and serotonin. This study was done to assess the effect of uptake‑2 inhibition on morphine‑induced conditioned place preference (CPP) and analgesia. In this study, the effects of morphine and/or D22 on CPP were evaluated following intraperitoneal injection in mice. Afterward, changes in motor activity were evaluated by the open field test. Using the tail‑flick model, the effects of D22 and/or morphine were evaluated on the pain threshold. The results showed that 20 mg/kg of morphine induced a place preference response. D22, at the dose of 0.03 mg/kg, caused place avoidance, while at the dose of 0.3 mg/kg, it produced a notable place preference response. Co‑administration of D22 and morphine showed that morphine reversed the CPP aversion induced by D22 at the lowest dose. Motor activity did not alter. In the tail‑flick test, morphine, at the dose of 3 mg/kg but not 1 mg/kg, increased the pain threshold. D22 induced significant analgesic responses. Co‑administration of D22 and morphine caused considerable analgesic effects. The findings revealed that D22 induced both conditioned aversion and preference depending on the dose while morphine induced CPP. Both drugs produced analgesia.
Theoretical and practical aspects of the principle of proportionality (according to Georgian and German law)
Authors:   Grigol Robakidze University, Khazalia Giorgi
Published: February 2024

The principle of proportionality brings governmental activities into a strict constitutional and legal framework and thereby contributes to the adequate balancing of basic human rights and public legitimate goals set by the state. In the current edition of the Constitution of Georgia, specifically, in paragraph 3 of Article 34, it is explicitly stated that the limitation of the basic human rights must correspond to the importance of the legitimate goal that it serves to achieve. The dogmatics and practice of the principle of proportionality have been developed in German law since the 50s of the 20th century and spread throughout the continental European legal system. In the present situation, the constitutional courts consider the principle of proportionality as a universal constitutional principle and evaluate the justification for limiting the basic rights based on the established practice. However, there is no unambiguous and doctrinal discussion-free approach to the individual components of the principle of proportionality, especially where the line is drawn between the scope of the legislative view and the constitutional requirement of proportionality. The principle of proportionality and its proper articulation in practice represents a crucial achievement, although it is necessary to adequately understand its dogmatic nature in order to avoid separate theoretical or practical objections regarding this issue. Key words: the principle of proportionality, legitimate purpose, utility, necessity, proportionality in the narrow senses.
Optimal variable state estimation of Dexterous Hand Master system via Kalman filter to control desing in space states
Authors: Abreu Ivanildo Silva , Evangelista Anderson Pablo Freitas , Do Amaral Henrique Mariano , Abreu Júnior Elder , Teixeira Cristovam Filho Dervalmar Rodrigues , Pereira Karllos Alexandre Sousa , Veras Danilo Furtado , Aragão Alan Jefferson Lima
Published: February 2024

This research aims to design an estimator via Kalman Filter design to estimate the system state variables Dexterous Hand Master, since in practice these are not available for measurement. The Kalman filter problem composes stage of the robust control LQG method, thus it can be stated that uncertainties, noises and disturbances in the system are considered in the controller project. Regarding the performance evaluation method of the controller, it was used the analysis in the time domain to an input to the ramp unit, analyzing settling time and steady-state error. In general, the estimator by Kalman filter designed accomplished his goal in the estimation of states, performing satisfactorily in accordance with the illustrations shown.
Development of a tool for teaching reactor calculation based on the PYTHON language
Authors: Moraes André Luís de Lima , Moreira Mônica Camila Ferreira , Barreto Mayra Samilly da Silva , Da Silva João Antônio Pessoa , Ferreira Ailton Freitas Balieiro , Da Silva Manoel Rodrigues , Pinheiro Elaine Cristina Brito , De Almeida Marcos Danilo Costa
Published: February 2024

The flexibilization of teaching with the use of computational tools, which enable students' cognitive gains, is relatively new in engineering education, however, it is gaining more and more space. The educational resources developed in this work are extremely relevant for learning, since most academics have extreme difficulties in mastering calculations and their interpretation. The reactor calculation discipline has a growing demand for the use of these resources and software is an effective resource for this proposal. In this sense, a programming language was used in PYTHON Software, which has general use, from entertainment to scientific such as Artificial Intelligence - AI. The language developed aimed to size chemical reactors and optimize response time to a problem situation. The source code was structured so that the user can interact in order to facilitate the insertion of the parameters that characterize each reactor. With this, not only the executable program, but also the step-by-step programming was made available to academics, to serve as teaching material to support teaching. As a result, students were satisfied with using the software, with 75% of them stating that using this tool was very intuitive, dynamic and that it was a user-friendly platform.
The implications of competitive dialogue for the Brazilian public administration
Authors: Cajazeiras José Laécio Cardoso , Freitas Jean Yuri de Sousa , Reis José Newton Pires , Da Cruz Marcos Paulo Mesquita , Holanda Filho Ivan de Oliveira , De Asevedo Moisés Dias Gomes , Alves Leopoldina Braga , Uchôa Júnior Antônio Mauro de Souza
Published: February 2024

Competitive dialogue, introduced in Brazil by Law No. 14,133/2021, represents a bidding modality that allows for negotiation between the public administration and bidders, aiming to achieve the best technical and economic solution for the contracted object. This approach can foster innovation, creativity, and efficiency in the procurement of complex works and services, promoting transparency, equality, and competitiveness among bidders. However, it poses challenges, such as the possibility of manipulation and increased administrative costs. The article in question analyzes the purposes of competitive dialogue, seeking more democratic and efficient administrative decisions, highlighting the associated benefits and challenges, including the need for training of public servants and the definition of clear and objective criteria for choosing the best proposal.
Optimization of gluten-free cookie cookies, chocolate flavor, made with different flours using experimental mixture planning
Authors: Da Silva Luíz Guilherme Malaquias , Sarques Jessanna Dias , Garcia José Antônio Dias , Boas Brígida Monteiro Vilas , Nachtigall Aline Manke
Published: February 2024

The use of different food matrices can influence the physical properties of the products. In this scenario, the objective was to develop gluten-free cookies, chocolate flavor, made with cocoa bran (FC), rice flour (FA) and corn starch (AM), using the simplex centroid design. Nine tests and seven formulations were developed, using simplex centroid type mixture planning, namely: F1 - 100% FC; F2 – 100% FA; F3 – 100% AM; F4 – 50% HR and 50% FA; F5 – 50% FA and 50% AM; F6 – 50% FC and 50% AM and F7 – 33.33% of each flour; the latter being carried out in triplicate. To characterize the cookies, the average values of mass (g), diameter (mm), thickness before and after baking (mm) and expansion factor (mm) were determined. Cookies made with cocoa bran showed less mass loss and an increase in diameter after baking, in addition to an expansion factor consistent with products rich in fiber. The quadratic predictive model demonstrated good adjustment and predictive capacity on the diameter values after baking (R2- 98.34%), while the special cubic model explained the effect of mixing on the thickness of the cookies before baking (R2- 99.42%), thickness after baking (R2- 98.36%) and expansion factor (R2- 99.20%). This study showed that the results demonstrated here indicate that the preparation of gluten-free cookies, using cocoa bran, presents itself as a viable alternative to the food industry.
Physical-chemical characteristics of gluten-free cookies, chocolate flavor, made with cocoa bran, rice flour and corn starch
Authors: Sarques Jessanna Dias , Da Silva Luíz Guilherme Malaquias , Garcia José Antônio Dias , Boas Brígida Monteiro Vilas , Nachtigall Aline Manke
Published: February 2024

The use of cocoa bran can be a viable technological and economic alternative for the food industry. In this sense, the objective was to develop and characterize gluten-free cookies, chocolate flavor, made with cocoa bran (FC), rice flour (FA) and corn starch (AM). Nine tests and seven formulations were developed, using simplex centroid mixture planning, as follows: F1 - 100% FC; F2 - 100% AF; F3 – 100% AM; F4 - 50% HR and 50% FA; F5 - 50% AF and 50% AM; F6 – 50% FC and 50% AM and F7 – 33.33% of each flour. To characterize the cookies, the values ​​of L*, C*, h°, hardness, fracturability, proximate composition and caloric value of the formulations were determined. Regarding the color of the cookies, the presence of starch gave rise to lighter products, with greater purity of color and an orange tone, while cocoa bran gave rise to darker cookies, with less purity of color and a brown tone. Cocoa bran also had a synergistic effect on the hardness of the biscuit, and corn starch and rice flour had an antagonistic effect. The use of cocoa bran provided higher levels of proteins, lipids and dietary fiber, as well as lower levels of carbohydrates and caloric value. Gluten-free biscuits made with the studied flours presented themselves as a viable alternative for the food industry.
Integration agriculture-livestock and production “Bull Harvest”
Authors: Barboza Lucas Yuri da Silva , Santos Lucas Henrique Ferreira , De Assis Rafael Vaz , Rafael Maisa Fernanda Villas Boas , Lopes Ana Carolina Miranda , Da Silva Rodrigo Medeiros
Published: February 2024

Within agribusiness there has been a lot of debate on the topic of intensification and sustainability within agricultural practices, the current scenario of pasture livestock is seen as challenging due to the low quality of pastures and consequently low quality indices, on the other hand agricultural practices have increasingly evolved in productivity, but with criticism of environmental care. With this in mind, integration practices have a positive result that adds greater production with pasture recovery in addition to physical-chemical and microbiological improvements related to agricultural practices. The main challenge for the rancher is the off-season period, when there is low availability and quality of grass, which favors a peculiar quality of a longer cycle and greater risk, so integration practices are a strategy that was developed to overcome these challenges promoting gains in critical periods. Zootechnical indices such as higher batch rate are possible productivity and productivity gains with the practice area of ​​nutrient cycling and soil protection are more profitable and productivity. The work brings positive results cited in the literature show the efficient use of integration practices related to peculiarities and agricultural practices.
The anti-juridicidity and the incoherence of Summary no. 345 of the STJ
Authors: Gomes Júnior Paulo César de Carvalho
Published: February 2024

The article elucidates some of the issues surrounding the payment of succumbence fees as a result of enforcements of judgments and their challenges, especially when the enforcements are brought against the public treasury. Initially, he presents how these issues were dealt with in executions of individual judgments against private parties governed by the CPC/1973 and how they are now dealt with in executions of individual judgments against private parties governed by the CPC/2015. It then presents how these issues are dealt with in the enforcement of individual judgments against the public treasury. It then presents how these issues are dealt with in individual enforcement of collective judgments against the public treasury. It concludes that Precedent No. 345 of the STJ is unlawful and inconsistent with other precedents of the STJ itself, with precedents of the STF and with the legal order as a whole. It should therefore be revoked or revised.
Dam breaks: from alarmist views to technical reality
Authors: De Oliveira Othon Fialho , Montenegro Suzana Maria Gico Lima , Salgado Sérgio Ricardo Toledo
Published: February 2024

The concerns over the risk of dam failures have intensified following the two most severe disasters of this kind in Brazil: in Mariana/MG on November 5, 2015, and in Brumadinho/MG on January 25, 2019. These accidents, associated with large-scale mining ventures, resulted in the loss of lives, severe environmental damage, and economic and urban infrastructure losses. Following these failures, reports on dam breaks began to receive more media attention, feeding the public's perception of risk. However, the majority of cases involve smaller dams, as demonstrated by accidents in the municipalities of Sairé/PE on June 15, 2020, Irupi/ES on January 24, 2020, and Pedro Alexandre/BA on July 11, 2019. This paper illustrates how these events were portrayed in the media and proposes a technical approach to assess the contribution of dam breaks to the disasters that occurred. The findings suggest that simplified modeling of the rainfall-runoff process and flow routing from the dam break to cities provides an indication of the dam's actual contribution to the overall impact. In the studied dam breaks, it is estimated that they contributed to up to a 36% increase in the magnitude of the natural flooding. The results suggest that media coverage sometimes inappropriately blames dams for the damage caused by floods. A more balanced and informative approach in media coverage is suggested, involving participation in disaster prevention and preparedness actions, support for mitigation actions during events, and assistance in post-disaster data recording.
A methodology for risk analysis and management on information assets of public or private organizations mapped by systematic literature review
Authors: De Lima Letícia Siguinolfi , Schemberger Elder Elisandro , Cordeiro Mariana Sbaraini , Konopatzki Evandro André
Published: February 2024

The use of technology in all areas of knowledge has become something fundamental, and the high data traffic has made it imperative to act in adherence to appropriate information security standards. Considering all existing risks, efficient risk analysis and management is of great importance to ensure that the three pillars of information security - confidentiality, integrity, and availability - are implemented and remain present in any organization that understands its data and information as some of its most valuable assets. In this process, thorough analyses must be routine, aiming to check for possible vulnerabilities (both physical and logical) which may lead to tangible and intangible losses for the interested organization. Information security failures directly impact an organization in economic, strategic, operational, market aspects, etc., and therefore, preventive measures, systematized security controls, checks, and continuous improvements are indispensable milestones. This work presents a methodology for the analysis and management of risks concerning data and information of an organization, offering detailed documentation in the form of an action plan, focusing especially on risk analysis and management, in order to mitigate problems related to data and information security, a valuable asset for the generation of knowledge inherent to the business in question.
Tensions and transformations: a critical analysis of the continuing education of teachers in dialogue with pedagogical supervisors/coordinators
Authors: Giehl Clei Cenira , Pacheco Luci Mary Duso
Published: February 2024

This study is part of the dissertation project entitled “Between the will and the need in the continuing education of the Elementary School teacher: is reframing continuing education in Brazil possible?”, presented to theThe Graduate Program in Education - Masters in Education (PPGEDU) of the Universidade Regional Integrada do Alto Uruguai e das Missões (URI), campus Frederico Westphalen, linked to the research line Teacher Training, Knowledge and Educational Practices. It seeks to contribute to the debate about the continuing education of elementary school teachers in Brazil, from the understanding of the tensions that involve the relationship of continuing education of teachers and pedagogical supervisors/coordinators. This research aims to contribute to the construction of more meaningful and transformative educational practices. This work composes the state of knowledge of the dissertation project and analyzes the research carried out in this area, which focus on the continuing education of teachers and pedagogical supervisors/coordinators. It is a literature review, a qualitative-descriptive study, based on a data survey carried out in the database of theses and dissertations of the Coordination for the Improvement of Higher Education Personnel (CAPES), and aims to elaborate a critical analysis based on the theme, enriching the discussion and contributing to the advancement of knowledge in this area.