bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of own observations of visceral syphilis lethal outcomes
Authors: Nadeev Aleksander P. , Krivosheev Alexander B. , Pakhomova Angelina E. , Travin Mikhail A. , Pakhomova Ekaterina E.
Published: September 2022

The epidemiological situation of the syphilis incidence in the modern world is characterized as a hidden epidemic, which manifests itself in latent and late forms of the disease. Despite the general trend towards a decrease in the incidence of syphilis, there are some specific features in many regions of Russia. Deaths from visceral syphilis are now rare. The article presents data on the epidemiology, nosological forms of visceral syphilis, and describes two lethal outcomes. In observations, late syphilis was characterized by damage to several organs (liver, lungs, heart, brain), but the leading clinical manifestations were neurosyphilis (syphilitic meningoencephalitis) and cardiovascular syphilis (syphilitic mesaortitis, interstitial myocarditis). Damage of the respiratory and digestive organs (stomach, liver) are rare forms of visceral syphilis. In the presented observations, gummas in the lungs and liver, which were not clinically diagnosed, were detected. In all cases, the diagnosis of visceral syphilis was established at autopsy on the basis of a characteristic morphological picture (detection of gummas) and positive results of the Wassermann reaction.
1980-2000 Yılları Arasındaki Video Oyun Sektörünün İncelemesi: Nintendo ve Sega Örneği
Authors: ŞAAN Tayfun , TİLTAY Muhammet Ali , İŞLEK Mahmut Sami
Published: September 2022

Dijitalleşmenin artması ile birlikte tüketicilerin de boş zamanlarında yaptıkları aktivitelerde değişiklikler olmuştur. Özellikle video oyunlar tüketicilerin kendi benliklerini şekillendirdiği boş zaman aktivitelerinin başında gelmektedir. Günümüzde 159 milyar dolarlık pazar hacmi ile video oyun sektörü, eğlence sektörlerinin en büyüklerinden biri olarak yer almaktadır. Bu çalışmanın amacı teknolojinin gelişmesi ile günümüz dünyasının en büyük eğlence sektörlerinden biri haline gelen video oyun sektöründe yer almış olan Nintendo ve Sega firmalarının 1980 ve 2000 yılları arasında uyguladığı pazarlama faaliyetlerini marka yaşam döngüsü kapsamında tarihsel bir bakış açısı ile incelenmesidir. Bu doğrultuda firmaların kuruluşları ve sektöre girişleri araştırıldıktan sonra firmaların uyguladığı pazarlama faaliyetleri, video oyun sektörünün gelişmesinde etkili olan faktörler tespit edilmiştir. Araştırma sonucunda Sega’nın pazara başarılı girişi hem uyguladığı başarılı pazarlama stratejileri hem de Nintendo’nun rakibini küçümsemesi ile ilişkilendirilmiştir. Buradan hareketle rekabet sürecinde yer alan markaların karşılıklı stratejilerinin nasıl sonuçlar doğurduğu anlaşılmaya çalışılmıştır. Araştırma sonuçlarının teknoloji firmalarının pazarlama eylemlerinin ve video oyun sektöründeki güncel gelişmelerin anlaşılmasında araştırmacı ve uygulayıcılara tarihsel bir içgörü sağlaması beklenmektedir.
A Relational Conception of Justice: The Theory of Recognition and Moral Injury -Proposals for a Practical Evaluative Framework-
Authors: BASILIO Jonathan Leif , ARUN M. Onur
Published: September 2022

Primarily developed within political philosophy, comprehensive theories of justice are often considered abstract and transcendental for sociological, political, or economic applications and thus, often require further conceptual and analytical clarifications. This need is apparent in recognition theory, a contemporary theory of justice pioneered by Axel Honneth. In it, he underlines the importance of recognition in intersubjective and mutual relations with significant others, legal institutions, and wider society, the denial of which leads to particular forms of injustice, conceptualised as moral injuries. To overcome the functional weakness inherent in recognition theory’s relatively abstract nature, this article clarifies the distinction between its “space” and “object” of evaluation to advance its practical usefulness in assessing disadvantage. In doing so, it first examines the theory of recognition as well as the concept of moral injury and addresses issues researchers and practitioners need to be attentive to concerning the categorisation of the good, the promise of recognition, and the pressing problem of unwarranted claims. Having taken these clusters of concerns into account, this article identifies (1) deformative identity formation, (2) invisibilisation, and (3) stigmatization as morally injurious acts and proposes three dimensions of evaluation, namely physical integrity, moral accountability, and personal autonomy, upon which certain forms of injustices that disadvantaged individuals or groups experience can be assessed within the normative framework of the theory of recognition.
A Proposal of Mistake Correction Problem for Debugging Study in C Programming Learning Assistant System
Authors:   the Department of Information and Communication Systems, Okayama University, Okayama, Japan, Jing Yanhui , Funabiki Nobuo , Aung Soe Thandar , Lu Xiqin , Puspitasari Annisa Anggun , Kyaw Htoo Htoo Sandi , Kao Wen-Chung
Published: September 2022

Currently, C programming is taught as the first programming language in many universities around the world due to the easy-to-learn and middle-level nature. However, the confusing concepts of keywords and unfamiliar formality make it difficult for students to study. Therefore, we have previously developed C programming learning assistance system (CPLAS) for self-studies of novice students. CPLAS offers several types of exercise problems with the automatic answer marking by string matching. In this paper, we propose a mistake correction problem (MCP) for code debugging study as a new problem type in CPLAS. MCP requests to answer every mistaken element and its correction in a given corrupt source code. We list up reserved words and common library functions in C programming for candidates of mistaken elements, and implement the MCP instance generation algorithm. To help solving MCP instances by a student, we implement the answer interface that shows the line number of each mistake, the corrupt code and answer forms in parallel, and the hint of suggesting the first character of each answer. For evaluations of the proposal, we generate 20 instances with 91 mistakes for basic grammars, and assign them to 18 university students in Japan, China, and Indonesia. Their answer results confirm the effectiveness of MCP.
Development of the Smart Transformer Detection Learning Kit Using IoT
Authors:   King Mongkut’s University of Technology Thonburi, Thailand, Chueapram Chanudon , Kamata Kanyama , Rueangphaisan Tanapoom , Srisupawong Yuwarat , Kamata Noritsugu
Published: September 2022

The Internet of Things (IoT) concept is one of the most popular concepts that can be applied from simple things to the smart appliances of today. IoT also helps human life to be more convenient and easier. IoT for learning and teaching in higher education is so important to help students gain their knowledge and experience before graduation and industrial work. An Introduction of IoT course for undergraduate students mostly focuses on the IoT concepts and fundamentals which may affect learners to understand well about the concepts. To apply those concepts into practice is still quite difficult for learners. This article proposes the development of a learning kit for the Smart Transformer Detection System using IoT as teaching material. The capability of this tool can help learners automatically detect and notify events using online tools. Moreover, it helps students monitor the transformer system with IoT concepts more clearly, practically, and understandingly. The study volunteered a sample group of students who used this kit in their learning and practices. Then, the sample did a survey on learning satisfaction. The results show that students were very satisfied with both accuracy of the work system and the quality of the learning kit.
Moving Labs out of Labs: Teachers' Perceived Effectiveness of Virtual Laboratories during Pandemic School Closures
Authors:   the School of Education, Taylor‟s University, Malaysia, Jain Jasmine , Kaur Manmeet
Published: September 2022

The extended periods of absence from physical laboratories due to school closures in COVID- 19 pandemic has shortened the contact hours required to develop essential practical skills. This research investigates the perceived effectiveness of upper secondary teachers on virtual labs due to this circumstance. The research participants are subject-matter physics specialists who have been teaching upper secondary students in both learning environments, physical and online. The instruments used in this research are survey, an open-ended questionnaire, and a semi-structured interview protocol. The findings of this research postulated that teaching physics practical skills using virtual laboratories has its limitations, however, the disruption caused by the COVID-19 pandemic has encouraged teachers to explore opportunities that are more effective in teaching physics practical skills. Nevertheless, the effectiveness of teaching physics practical skills using virtual laboratories is confined by the inability to provide students with a similar experience to the traditional labs. Despite its limitations, teaching physics practical skills using virtual laboratories is effective in supporting students through memorizing and comprehending practical skills. The research also revealed that teaching physics practical skills using virtual laboratories is an effective method of encouraging students to apply their existing knowledge and comprehension to unfamiliar situations and draw connections to analyze the physics phenomena.
Assigning Credits to Multiple Contributors of a Scholarly Output Using Arithmetic Series
Authors:   the Faculty of Integrated Technologies, Universiti Brunei Darussalam, Brunei, Iqbal Asif , Cheok Quentin , Nauman Malik M.
Published: September 2022

As the academic world is focusing deeply on quantification of contributions brought about by researchers, it becomes imperative to assign true and deserving credits to the individuals. Modern-day databases do not account for the number of contributors or sequence number of a contributor in the contributors’ list while assigning credit of a scholarly output. As such, every contributor of a researcher-studded output gets the same credit as does the sole contributor of a single-author output. The current work presents a mathematical method to assign credits based on the number of contributors, the sequence of the contributor in the contributors list (if so required), and the magnitude of commendation achieved per unit time by the scholarly output. The concept of arithmetic series is utilized to materialize the idea of true assignment of credits. A case study is also provided to elaborate working of the mathematical method.
Ecological Cognition for Measuring Psi-Hit and Psi-Miss Online: Using K-Scores to Understand Anomalistic Psychology in Project Management Teams
Authors:   the Congress of Researchers and Organisations for Cybercommunity, E-Learning and Socialnomics, Swansea, SA1 9NN, UK, Bishop Jonathan , Kommers Piet A. M. , Bechkoum Kamal
Published: September 2022

The human-side of project management is a topic that has been explored in project management, but not to the extent that it should be. Health and safety is of paramount importance in project management, particularly construction project management. What is often overlooked is the mental health side of health and safety and how anomalistic psychological experiences can have an adverse impact on project success. This paper proposes using ‘k-scores’ to measure psi-hit and psi-miss, or in other words the extent to which a person thinks they have had an anomalistic experience or that they have not. The measure of k-scores are derived from combining the ecological cognition framework with a parametric user model. The benefit of this is that it allows the collection of data online, such as through Microsoft Teams, Skype or Zoom.
A clinically malignant alike skin bump with cartilagenous alike histopatholgy- A rare case report of chondroid syringoma
Authors: Dungarwal Yashashree
Published: September 2022

Chondroid syringoma is a rare benign adnexal tumor of skin accounting for only about 1% of commonly encountered skin tumors. It contains both epithelial and mesenchymal stromal component, hence refered as mixed tumor of skin.Its cytological features of have rarely been published in the literature. A mucoid aspirate, abundant chondromyxoid matrix material, and epithelial components were suggested as diagnostic criteria. We report here a case of chondroid syringoma with its cytological features due to its challenging clinical diagnosis.
A study of the impact of e-learning on the health of school going adolescents in Bareilly city: A cross-sectional study
Authors: Sinha Akanksha , Khatri Vedant , Kumari Ranjeeta
Published: September 2022

E-learning has played a major role during corona pandemic and lockdown. Gadget use and increased screen time can lead to neuropsychological and physiological problems in many children.Some of the E-learning associated health hazards can be prevented by taking few preventive measures. Therefore an endeavour has been taken up to conduct a cross-sectional study on the consequences of e-learning on the health of school going adolescents in Bareilly city of Uttar Pradesh.

To find the effects of e-learning on the health of school going adolescents.

And to suggest the recommendations for the prevention and control of e-learning associated health problems.

Selection of study participants was done via multistage sampling. A pretested semi-structured interview schedule consisting of both open and closed ended questions was prepared. Statistical analysis was done using SPSS (version 23.0) for windows.

Various health related issues were associated with e-learning like headache, body-ache, vision problems, etc.

E-learning was found to be more common in males, socioeconomic class 1, Hindu religion and among students belonging to higher classes (class 8 to 10). There were some health issues found among children pursuing e-learning like headache, body-ache, vision problems, etc.

E-learning health hazards can be prevented and controlled through strategic planning and implementation of health education.
A Gamificação como Alternativa Didática na Aprendizagem de Conceitos Matemáticos nos Anos Iniciais Durante a Pandemia da Covid-19
Authors: Campos Krishna , Moraes Dirce Aparecida Foletto de , Méllo Diene Eire de
Published: September 2022

O objetivo deste estudo é investigar as contribuições da gamificação enquanto alternativa didática na aprendizagem de conceitos matemáticos durante o período pandêmico. A metodologia deste trabalho está apoiada na abordagem qualitativa, com princípios da pesquisa-intervenção organizada em três etapas: mapeamento do perfil da turma e das necessidades; planejamento e execução da gamificação e avaliação da atividade gamificada no aprendizado de conceitos matemáticos. O público-alvo foi constituído por uma turma de 25 estudantes do 3º ano dos Anos Iniciais do Ensino Fundamental de uma escola pública no interior do Paraná. Os resultados indicam que a atividade gamificada favoreceu a aprendizagem de conceitos matemáticos na medida em que possibilitou a participação ativa e o engajamento dos estudantes por meio de uma experiência lúdica, juntamente com a possibilidade de fornecer feedbacks instantâneos, a avaliação constante e as mediações necessárias. Ainda, que a atividade gamificada se constituiu como uma tarefa desafiadora, a qual provocou várias formas de operação mental e o interesse dos estudantes em realizar questões matemáticas via ensino remoto.

Palavras-chave: Gamificação. Matemática. Didática. Aprendizagem. Ensino remoto.
Classification of Arrhythmia Using Machine Learning Algorithm
Authors: Chickaramanna Suguna G. , Veerabhadrappa Sondekere Thippeswamy , Shivakumaraswamy Puranik Math , Sheela Seenapahalli Nanjundaiah , Keerthana Shivapura Krishna , Likith Umesh , Swaroop Likith , Meghana Vasudevarao
Published: September 2022

Detection of Atrial fibrillation (AF) is more complex as compared to other cardiac diseases. It requires lengthy ECG signals and more time for visual inspection and analysis by the physicians. Automatic detection of AF using an expert system is essential for the investigation of ECG signals. In this study, the Physionet challenge 2017 dataset is used for the detection and classification of AF versus other signals. In this paper, ECG signals are segmented into a sample size of 250 samples for the detection of Wavelet Packet Decomposition (WPD) and approximate entropy (ApEn) features for classification. In addition to WPD and ApEn, statistical features were derived from ECG signals. The Principal Component Analysis (PCA) has been used to reduce the dimensionality of the features based on the rank. Ensemble classifiers such as AdaBoost, XGBoost and Random Forest (RF) are used for classification. The accuracy of 62.91%, 70.33% and 89% for the AdaBoost, XGBoost and Random Forest respectively. We found RF classifier is suitable for classifying AF, normal rhythm and other non-AF related abnormal heart rhythms.
GAN-Based Encoding Model for Reversible Image Steganography
Authors: Kuyoro Afolashade , Nzenwata Uchenna J. , Awodele Oludele , Idowu Sunday
Published: September 2022

In carrying out reversible image steganography, the Generative Adversarial Networks (GANs-based) models have proven to be the most suitable deep learning models for image steganography. Image steganography is a steganography system that hides secret data in an image cover medium without arousing suspicion, and it is defined by the ability to reconstruct the cover medium with no visible distortion after the steganography system has been decoded by extracting the hidden data. In this study, we try achieve the encoding phase in image steganography, where two GAN-base models (CycleGAN and DCGAN) were proposed. Empirical analysis was done to determine a better model for the encoding of image steganography. The Peak Signal-to-Noise Ratio (PSNR), the Structural Similarity Index Metric (SSIM), and bit per pixel (bpp) were used as the metrics for the analysis. The outcome of DCGAN yielded (SSIM=0.48; PSNR=19.86; bpp=24.79) and the outcome of using CycleGAN yielded (SSIM=0.97; PSNR=41.45; bpp=24.97). These values concluded that the CycleGAN was preferable over the DCGAN. Hence, the CycleGAN was adopted as the encoding model.
Deep Named Entity Recognition in Hindi Using Neural Networks
Authors: Shelke Rita , Vanjale Sandeep
Published: September 2022

In Natural Language Processing, named entity recognition (NER) is a task of (NLP) that tries to automatically identify and annotate Named Entities in text, such as people, places, and organisations. We employ a deep learning-based architecture in this work to solve the problem of recognising named entities in a Hindi text phrase. In the literature, approaches based on bidirectional long short-term memory (BiLSTM) have been utilized for the NER task. We performed recursive BiLSTM in this study, which includes a de-noising autoencoder with conditioning logic. Experiments were undertaken to examine the behaviour of individual word embeddings and batch sizes, which is vital for training deep models. The findings of the suggested system architecture, as well as a comparison of performance characteristics with existing systems, are presented in this study.
Severity Classification of Alzheimer Dementia Based on MRI Images Using Deep Neural Network
Authors: Rezeki Nofitasari Dwi , Aulia Suci , Hadiyoso Sugondo
Published: September 2022

Alzheimer's dementia (AD) is the most common type of dementia, usually characterized by memory loss followed by progressive cognitive decline and functional impairment. AD is one of the leading causes of death and cannot be cured, but proper medical treatment can delay the severity of the disease. Early detection of AD can detect early and prevent the disease from getting worse. So, we need a system that can detect AD as a means of support for the clinical diagnosis. In this study, a system was designed to classify the severity of AD using the Convolutional Neural Network (CNN) method with VGG-16 and VGG-19 modeling. From the simulation results with a total of 4,160 MRI datasets, the highest accuracy rate was 98.28% with VGG-19 architecture using Adam's Optimizer for the classification of 3 classes, namely no dementia (normal), mild dementia, and moderate dementia. It is hoped that this study can support clinical diagnosis in assessing the severity of AD.
Design and Study of a Microstrip Patch Antenna for GPS Application
Authors: Ayad Mouloud , Saoudi Kamel , Alharbi Turki E.A. , Alzaidi Mohammed S. , Benziane Mourad , Mouassa Souhil , Ghoneim Sherif S.M.
Published: September 2022

A microstrip patch antenna for Global Positioning System (GPS) application is presented in this study. It has a rectangular shape with two notched slots. The notched slots are introduced to improve the adaptation between the microstrip line and the antenna. The antenna was designed and simulated by CST using FR-4 material as the substrate with relative permittivity of 4.3. The proposed microstrip antenna is designed to operate in the GPS band frequency from 1.555 GHz to 1.595 GHz. The performance analysis of the proposed antennas has been carried out in terms of return loss (dB), gain (dB), and VSWR.
A New Block Based Non-Blind Hybrid Color Image Watermarking Approach Using Lifting Scheme and Chaotic Encryption Based on Arnold Cat Map
Authors: Patsariya Sanjay , Dixit Manish
Published: September 2022

Online platforms became preferred mode of communication due to advancement in communication technology. Sharing of digital documents over online communication medium grown exponentially and thus demanded a secure, robust and transparent watermarking technique for authenticity of digital media and copyright protection. This research study proposes a robust and secure non-blind SVD-LWT watermarking technique. Color images are employed instead of gray scale images and Y channel of YCbCr color model is utilized to embed secret digital information. The selected color model is in accordance with the human visual system and Y channel is ideal for data hiding. Two level LWT, SVD is used and diagonal matrix of Y channel of host (cover) and watermark image along with scaling factor (α) is used to embed digital data. Block based and chaotic image encryption transform are used for image scrambling. The performances of presented watermarking scheme evaluated with the aid of fidelity parameters namely MSE, PSNR, SSIM and NCC.
Reliable Scene Recognition Approach for Mobile Robots with Limited Resources Based on Deep Learning and Neuro-Fuzzy Inference
Authors: Singh Aditya , Pandey Padmakar , Puig Domenec , Nandi Gora Chand , Abdel-Nasser Mohammed
Published: September 2022

Indoor scene recognition is complex due to the commonality shared between different spaces. Still, when it comes to robotics applications, the uncertainty increases due to illumination change, motion blur, interruption due to external light sources, and cluttered environments. Most existing fusion approaches do not consider the uncertainty, and others have a high computational cost that may not suit robots with limited resources. To mitigate these issues, this paper proposes a reliable indoor scene recognition approach for mobile robots with limited resources based on robust deep convolutional neural networks (CNNs) feature extractors and neuro-fuzzy inference to consider the uncertainty of the data. All CNN feature extractors are pre-trained on the Imagenet dataset and used in the manner of transfer learning. The performance of our fusion method has been assessed on a customized MIT-67 dataset and for real-time processing on a Locobot robot. We also compare the proposed method with two standard fusion methods---Early Feature Fusion (EFF) and Weighted Average Late Fusion (WALF). The experimental results demonstrate that our method achieves competitive results with a precision of 94%, and it performs well on the Locobot robot with a speed of 3.1 frames per second.
Image Information Recognition and Classification of Warehoused Goods in Intelligent Logistics Based on Machine Vision Technology
Authors: He Shouhui , Wang Yan , Liu Hongda
Published: September 2022

To sort out warehouse management problems in smart factories, smart warehousing and in-plant smart distribution systems are needed to achieve the goal of lean logistics and distribution in smart factories. There are still some pressing problems in the research on images of warehoused goods in intelligent logistics. For example, a solution hasn’t been found yet to recognise multiple types of warehoused goods in different shapes and colours; static vision image processing solutions have a poor performance in optimising recognition speed and classification accuracy. In response, this paper unveils a study on the image information recognition and classification of warehoused goods in intelligent logistics based on machine vision technology. It presents a process related to warehouse management in intelligent logistics and a corresponding system architecture. It also constructs a YOLOv3 model for the image information recognition and classification of warehoused goods in intelligent logistics. The paper elaborates on the prior box settings and loss function correction methods, and finishes optimising the YOLOv3 model. Experimental results verified the effectiveness of the constructed model.
Cuckoo Search Constrained Gamma Masking for MRI Image Detail Enhancement
Authors: Ojha Muktesh Kumar , Rai Amrita , Prakash Anshuman , Tiwari Priyesh , Gupta Dhiraj
Published: September 2022

Nature-inspired algorithms are widely applied in the arena of image enhancement for various optimization purposes. To address the optimization complexities in various image enhancement approaches, nature-inspired optimization algorithms play a vital role. Cuckoo search is one of the prominent nature-inspired performance algorithms that we employed in this work for the enhancement of magnetic resonance imaging (MRI). We proposed a wavelet-based masking technique employing a cuckoo search algorithm whose masking value is corrected by gamma function for the contrast enhancement of MRI images. The cuckoo search algorithm can inevitably fine-tune the relation of nest building using genetic operatives like adaptive cusp and alteration. The proposed contrast enhancement scheme is examined quantitatively for different types of MRI images. Extensive simulation results compared with quantitative values have revealed that the traditional nest building of cuckoo search optimization is improved by adaptive gamma correction. Comparative analysis with the existing works establishes the usefulness of the proposed methodology over the other standard approaches.
Robust Identification of Subtypes in Non-Small Cell Lung Cancer Using Radiomics
Authors: Wang Ke , An Ying , Li Ni , Zhou Jiancun , Chen Xianlai
Published: September 2022

Identifying the histological phenotype of non-small cell lung cancer (NSCLC) is of crucial importance to its treatment and prognosis. The radiomics-based prediction model has the potential to non-invasively extract the tumor phenotype characteristics. However, the existing research ignores the stability of extracted features, which restricts the performance and robustness of the constructed model. While most of themethods in the literature use classification accuracy to solve theproblemofradiomics featuresstability, in this paper we propose the use ofSOM (Self-organizing Mapping) and K-means to evaluate the stability of different feature subsets. The subset with good clustering performance is selected as the optimal feature subset.When the optimal feature subset is used for modeling, compared with other feature subsets, the higher AUC(Area Under Curve) and lower SD(Standard Deviation) on the three classifiers show that the feature subset had excellent classification performance and good stability, and can distinguish NSCLC subtypes more accurately and robustly.
Mathematical Modeling of the Vacuum Gas Oil Hydrotreatment
Authors: Vorob’ev A. M. , Belinskaya N. S. , Afanasieva D. A. , Arkenova S. B. , Kaliev T. A. , Krivtsov E. B. , Ivashkina E. N. , Krivtsova N. I.
Published: September 2022

Thermochemical properties of molecules and thermodynamic characteristics of vacuum distillate hydrotreatment were calculated by quantumchemical methods. A kinetic model of the hydrotreatment process was developed using a formalized transformation scheme of hydrocarbons. The developed kinetic model was employed in numerical studies aimed to estimate the effect of the feedstock composition on the residual content of heteroatomic components in the product of vacuum gas oil hydrotreatment, the effect of temperature on the content of aromatic hydrocarbons, nitrogen and sulfur in the hydrotreatment product, and the effect of the hydrogen-containing gas consumption on the content of sulfur and hydrogen sulfide in the hydrotreated vacuum gas oil.
Preoperative risk factors for negative clinical outcomes in acute mesenteric thrombosis in surgical ICU
Authors: Ponomareva A. D. , Leyderman I. N. , Kasherininov I. Y. , Danilov I. N. , Belikov V. L.
Published: September 2022

Background. Acute mesenteric thrombosis (AMT) is a condition that develops with thrombosis in the vessels of the mesenteric pool, which causes hypoperfusion of the intestinal wall and leads to secondary inflammatory changes. Mortality in OMT is 80–85 %. Early diagnosis of OMT is difficult due to the lack of specific clinical signs and laboratory markers.

Objective. To identify preoperative risk factors for adverse clinical outcomes in OMT.

Design and Methods. A single-center retrospective observational cohort study included 47 patients diagnosed with OMT. The following patient data were analyzed: age, gender, body mass index (BMI), assessment of the patients’ condition according to the SOFA, APACHE II, EuroSCORE scales. Various laboratory parameters in the preoperative and postoperative periods were analyzed.

Results. The incidence of oncological diseases and history of acute cerebrovascular accident (ACV) were significantly higher in the group of lethal outcomes of OMT than in the group of surviving patients. The correlation of higher serum levels of lactate, D-dimer, creatinine, leukocytosis and procalcitonin in the preoperative period with the development of an unfavorable clinical outcome was revealed.

Conclusion. The main risk factors for the development of an unfavorable clinical outcome of mesenteric thrombosis in patients are the presence of malignant neoplasms, a history of stroke, a high level of mixed venous blood lactate, creatinine, D-dimers, procalcitonin, leukocytosis in the preoperative period.
EDUCAÇÃO AMBIENTAL CRÍTICA
Authors: Guimarães Juliana , Mello Nilvania Aparecida de , Pereira Giovana Faneco
Published: September 2022

A crise ambiental vivenciada atualmente atingiu níveis acentuados e preocupantes. Frente a essa realidade, faz-se necessário desenvolver ações que visem à incorporação da Educação Ambiental Crítica nas instituições de ensino. Essa perspectiva oportuniza a possibilidade de transformação social, que tem como pressuposto teórico Paulo Freire, subsidiando a formação continuada dos professores. O objetivo geral foi identificar a contribuição da Educação Ambiental Crítica utilizando como ferramenta a leitura da paisagem na formação continuada de professores da Rede Municipal de Ensino. A metodologia utilizada tratou-se de uma pesquisa-ação, com oficinas pedagógicas, tendo como instrumento de coleta de dados questionário estruturado, o estudo ocorreu em Clevelândia-PR. Como resultado, houve a incorporação dos princípios fundamentais da Educação Ambiental Crítica, com isso ocorreram melhorias no processo de ensino e aprendizagem e contribuições para a mitigação dos problemas socioambientais.
COMO PODEREI VIVER SEM A TUA COMPANHIA?
Authors: Paplowski Schirley Kamile
Published: September 2022

Anualmente, duas mil crianças no país são tornadas órfãs pela prática de feminicídio contra a mãe. Apesar disso, inexiste no Brasil uma rede de proteção articulada para apoiar a criança e sua família, tampouco políticas públicas específicas. É sobre tal situação que esta análise se debruça, diante de sua atualidade, frequência e alcance. O problema de pesquisa consistiu em: como o Poder Judiciário e a rede de proteção à infância e à adolescência podem assegurar que o evento traumático da perda da mãe, vítima de feminicídio, tenha seus efeitos mitigados e o sofrimento da criança reduzido? Sob o método de abordagem hipotético-dedutivo, a hipótese assentou-se na necessária articulação da rede de proteção com diferentes setores, a fim de mapear crianças e adolescentes que convivem com a dor do luto, como também aquelas(es) cujos genitores já têm registros de medidas protetivas de urgência. Esta hipótese foi confirmada ao final, com a adição de sugestões ao Sistema de Garantia dos Direitos.
INTERNACIONALIZAÇÃO DA EDUCAÇÃO SUPERIOR
Authors: Rubin-Oliveira Marlize , Costa Maria Luisa Dalla
Published: September 2022

O artigo é um dos resultados de uma pesquisa mais ampla na área da internacionalização da Educação Superior (ES) com foco na modalidade em casa (IeC). Nesta etapa da pesquisa, surge a necessidade de compreender emergências da internacionalização no contexto da pandemia. O objetivo é construir uma revisão sistemática de emergências de internacionalização da ES no contexto da pandemia a partir de documentos de organismos e journals com força política no cenário mundial. A partir de metodologia qualitativa-exploratória e de critérios definidos de inclusão e exclusão, 19 documentos foram analisados. Duas emergências foram destacadas como mais significativas: oportunidades e crise. A ideia de oportunidades envolvem necessariamente o padrão hegemônico e seus privilégios epistêmicos de produção de conhecimento. E a ideia de crise remete principalmente à problema políticos, institucionais e de financiamento que, neste período, se aprofundam.
ETNOGRAFIAS HOJE
Authors: Ahlert Martina , Biondi Karina , Pereira Alexandre Barbosa
Published: September 2022

Apresentação do Dossiê Etnografias Hoje
GRAFFITI ENTRE TELAS E LENTES
Authors: Pereira Jesus Marmanillo
Published: September 2022

Partindo de uma perspectiva etnográfica do encontro (FABIAN, 2004), o presente artigo visa compreender a prática do graffiti na cidade de Imperatriz-MA segundo o itinerário de um artista local. Mobilizamos autores como Gonçalves (2012), Agier (2011), Kofes (2015), Bourdieu (2002), entre outros, que possibilitaram situar os autores sociais em relação ao ato de deslocar-se pela cidade, entre aspectos subjetivos e objetivos de suas próprias narrativas e inserções sociais. O campo na plataforma Instagram nos possibilitou analisar 271 documentos visuais. Além disso, foram realizadas entrevista, o acompanhamento nos momentos de execução das artes e diálogos com outros dois artistas que compõem o campo da arte de rua na cidade.
ENSINO REMOTO PARA QUEM?
Authors: De Oliveira Lima Carlos Roberto
Published: September 2022

Este artigo tem como objetivo compreender como tem ocorrido o processo educacional de sujeitos surdos em uma escola pública do interior de Mato Grosso do Sul durante este período de pandemia. Devido ao novo COVID19, novas formas de analisar a educação se tornaram necessárias, portanto, nesta pesquisa, busca-se investigar como é ofertado o ensino em uma escola municipal do município de Corumbá, cidade situada a 428,2 km da capital de Mato Grosso do Sul, Campo Grande, e compreender como são realizadas as atividades pelos professores e as mudanças que precisaram enfrentar para se readequar nesse momento. Para tanto, foram realizadas entrevistas com dois docentes de uma escola municipal, atuantes no Ensino Fundamental I e II e que dão aulas remotas para turmas com alunos surdos. Por intermédio das narrativas colhidas, foi possível averiguar como o ensino tem chegado a essa camada populacional. As análises foram realizadas tendo como base as noções propostas por Michel Foucault. Em conclusão, pode-se afirmar que o processo educacional no universo coletado têm reproduzido uma desigualdade de acesso à informação e à educação para sujeitos surdos quando se trata de ofertar as mesmas condições de acesso e padrão de qualidade, reafirmando estereótipos negativos nas percepções dos próprios alunos sobre si mesmos.
Uważny Miron. Wątki ekokrytyczne w prozie Mirona Białoszewskiego
Authors: Bulewicz Ewelina
Published: September 2022

Od wydania Tajnego dziennika mija właśnie dziesięć lat, a proza Mirona Białoszewskiego wciąż domaga się odkrywania w niej coraz to nowych wątków, potwierdzając tym samym jej aktualność w XXI wieku również w kontekście antropocenu. Celem mojego artykułu zatytułowanego Uważny Miron. Wątki ekokrytyczne w prozie Mirona Białoszewskiego będzie analiza i interpretacja występujących w twórczości autora Pamiętnika z powstania warszawskiego motywów ekokrytycznych, oscylujących wokół relacji autora-narratora z nie‑ludzkimi innymi. Przedmiotem moich badań uczynię dwa ważne tomy prozatorskie napisane przez Białoszewskiego w połowie lat 70. XX wieku: Konstancin oraz Chamowo, stosunkowo mało zbadane w kontekście posthumanizmu czy kategorii uważności. W referacie przedstawię stosunek autora Zawału do zwierząt, roślin oraz śmieci, który częściowo omówiła w swoich pracach Agnieszka Karpowicz. Ponadto udowodnię, iż każdy z wymienionych wątków świetnie wpisuje w aktualny dyskurs o relacji człowiek-zwierzę, natura-kultura.
„Droga” spycimierskiego Bożego Ciała do UNESCO
Authors: Szoszkiewicz Andrzej
Published: September 2022

Artykuł stanowi podsumowanie i chronologiczne uporządkowanie kolejnych etapów starań mieszkańców parafii Spycimierz i gminy Uniejów o wpis na Listę reprezentatywną niematerialnego dziedzictwa kulturowego ludzkości UNESCO, zwieńczonych sukcesem. Przedstawia ścieżkę dojścia do tego zaszczytnego tytułu, którego osiągnięcie nie byłoby możliwe bez dużego zaangażowania lokalnej społeczności i ścisłej współpracy z władzami gminy Uniejów. Artykuł może stanowić inspirację dla innych gmin do podejmowania działań na rzecz ochrony niezwykle istotnego dziedzictwa niematerialnego.
Historias de maestros para maestros
Authors: Meza Rueda José Luis
Published: September 2022

La narrativa es un esquema mediante el cual los seres humanos brindan sentido a su experiencia de temporalidad y a su actividad personal. El significado narrativo añade a la vida una noción de finalidad y convierte las acciones cotidianas en episodios discretos; es la plataforma que permite comprender los eventos pasados y proyectar los futuros, y el principal esquema por medio del cual la vida del ser humano cobra sentido. Por eso, este libro da cuenta de experiencias dadoras de significado que hacen una recuperación del sujeto que las narra: historias llenas de realismo, preocupación o esperanza; historias recordadas con el paso de los años porque han dejado su huella; historias que nos hablan de la utopía posible y de los seres humanos que creen en ella. Su contenido nos recuerda lo que alguna vez dijera Roceur: Un buen relato y un buen argumento pertenecen a clases diferentes. Ambos pueden usarse para convencer a los demás, pero son convencimientos distintos: los argumentos nos convencen de su verdad; los relatos de su semejanza con la vida. Además, narrar es una forma constitutiva y un principio epistemológico del trabajo pedagógico. Cuando la educación es vida, vocación y profesión no pasan cosas en la escuela ; por el contrario, cada cosa que pasa es una experiencia que moviliza al docente en el alcance o alojamiento del sentido que tiene ser educador y del significado de las tareas que de allí se desprenden.
Teología narrativa
Authors: Siciliani Barraza José María
Published: September 2022

La teología, desde hace ya más de un siglo, viene buscando respuestas a un hecho que Pablo VI calificaba como un drama: la separación entre fe y vida. La teología narrativa es una respuesta a esa interrogación aún vigente no sólo entre los teólogos, sino también entre los evangelizadores: catequistas, educadores religiosos, padres de familia, misioneros, etc. Al partir de los relatos de fe como su materia prima, la teología narrativa recupera una dimensión descuidada en el quehacer teológico: la experiencia de fe, cuya forma original es el relato, y no el discurso. Esa experiencia se encuentra plasmada primero en la Biblia y seguidamente en los múltiples relatos de fe que la escritura ha engendrado durante más de veinte siglos entre los seres humanos.
Enfoques, dinámicas y retos en las prácticas sociales con y para jóvenes
Authors: Londoño Orozco Guillermo , Ordóñez Pinzón Zoraida , Ried Luci Sebastián
Published: September 2022

El texto es un aporte al pensamiento educativo y social, cuyo interés de indagación se focaliza en la juventud y en los temas inherentes a sus proyectos, vinculaciones y realizaciones. Ya en este sentido, se constituye, de entrada, en un esfuerzo investigativo de especial relevancia, pero a ello se suma un valor agregado que deja a todas luces una grata impresión, al encontrar un producto de pensamiento originado en una mirada analítica profunda que rebasa el análisis conceptual, al situarse en el horizonte de aquello que se teje y se constituye a través de la acción, la interacción y la intencionalidad. La inquietud que desde el comienzo de esta investigación problematizó las búsquedas, las construcciones nacionales y las intervenciones sobre contextos de prácticas con jóvenes, siempre estuvo anclada a un horizonte material de realidad que permitiera convertir en objeto de indagación las acciones intencionadas y las materializaciones sociales que adquieren cuerpo en el ámbito del escenario socio-cultural de los jóvenes. Así, la preocupación por una parte, por la referencia articulada y constante al ámbito cotidiano de las prácticas, y por otra, al mundo de los jóvenes, entendido desde esta misma referencia.
Formación integral universitaria
Authors: Barragán Giraldo Diego Fernando
Published: September 2022

La obra propone un itinerario para la comprensión y puesta en práctica del campo de la formación integral, en perspectiva universitaria. Se trata de la estrategia-dispositivo “Itinerario para la Formación Integral Universitaria (IFIU)”, la cual es versátil, ya que puede adaptarse a otros contextos educativos y servir como modelo. De esta forma, le apuesta a una lectura crítica sobre esta experiencia formativa. Las acciones de los investigadores que participaron en este trabajo han permitido configurar una auténtica comunidad de práctica, en la que se han compartido saberes y modos de proceder frente al ejercicio investigativo.
Seguridad y ciberseguridad
Authors: Pulido Daza Nelson Javier
Published: September 2022

La tecnología y su apropiación en la sociedad han implicado una trasformación general que hoy permite examinar hechos coyunturales que determinan la construcción de libertades en torno a temáticas de intereses colectivos. Es tal la influencia de las tecnologías de la información y la comunicación (TIC) que la información se convierte en un elemento desarrollador y transformador de colectividades. Por ello, la legislación toma parte importante en la reglamentación en la materia, que no solo debe propender por políticas enfocadas hacia el acceso, sino que también tiene que abarcar los contenidos, las temáticas, etc., que afectan profundamente el comportamiento, los hábitos, las costumbres y demás manifestaciones de los usuarios. Esta obra es el resultado de la compilación y el análisis de una estructura elaborada mediante un marco legislativo que interpreta ciertas particularidades que intermedian entre internet, la seguridad y las conductas en las cuales se sancionan los métodos correspondientes al acceso de sistemas informáticos y a la información.
Historia económica de Colombia
Authors: Pico Bonilla Claudia Milena
Published: September 2022

Esta obra, dirigida a estudiantes y profesionales de Economía, hace énfasis en los procesos de identificación de información de historia económica y su relación con política económica a través de un análisis aplicado al caso colombiano; en el cual se examinan los problemas fiscales y monetarios del país entre los siglos XVI y XIX. Explora, además los elementos que separan la tradición de investigación en historia económica de los economistas y la de los historiadores, al tiempo que propone algunos intentos de conciliación de ambas posturas.
Perspectiva de género y mujer
Authors: Bueno >Ana Marcela
Published: September 2022

El disertar alrededor de la perspectiva de género desde una mirada feminista deja en evidencia las condiciones de desigualdad entre hombres y mujeres en todos los ámbitos de la sociedad, incluyendo, por supuesto, la esfera de la educación en todos sus niveles. El ámbito de la educación ha ido favoreciendo cada vez más a las mujeres, ya sea por la normativa o simplemente porque hay más posibilidades de acceso para ellas, lo cual puede verse reflejado en el Observatorio Laboral para la Educación, que manifiesta que de los 1381 781 títulos otorgados, entre el 2001 y el 2009, el 54,9% corresponde a mujeres. Pese a ello, el sistema educativo continúa, en su interior, perpetuando prácticas y discursos que sostienen al sistema patriarcal, al cual se verán abocados los y las profesionales, y que en el momento de ejercer incidirá, ya que, al no contar con información y criterios para la toma de decisiones al respecto, los procesos pueden desconocer una perspectiva equitativa o, por lo menos, sin discriminación. Analizando la educación superior, no es común en los programas de Trabajo Social que una mirada como la perspectiva de género aparezca como un asunto de interés para los y las futuras profesionales, siendo este un aspecto que se deja al libre albedrío en sus posibilidades electivas, en el caso de que estas existan en las universidades.
Introducción a los métodos numéricos
Authors: Torres Ortega Jesús Alfonso
Published: September 2022

Los métodos numéricos son un medio para fortificar la comprensión de las matemáticas, ya que su propósito principal es reducir las matemáticas superiores a operaciones aritméticas básicas, y poseen la facultad de manejar sistemas de ecuaciones considerables que son frecuentes en la práctica de la ingeniería, por lo cual, constituyen el tipo de cálculo que con mayor periodicidad efectúan los ingenieros. Anteriormente a la creación del computador, se gastaba más en la técnica misma de solución de los problemas, en vez de aplicar mayor esfuerzo sobre la definición del problema y su interpretación. Actualmente, los algoritmos y los métodos numéricos suministran una opción para muchos cálculos complejos. Es probable que durante sus estudios la oportunidad de valerse de un software disponible comercialmente que contenga tenga métodos numéricos, el uso racional de estos programas está sujeto al discernimiento de la teoría básica en la que se fundamentan los cálculos numéricos.
Ética en la investigación biomédica
Authors: Rubio-Rincón Gina Sorel , Jurado Medina Sandra Patricia , Molina Montoya Nancy Piedad
Published: September 2022

La obra busca introducir a los estudiantes de Ingeniería Ambiental y Sanitaria en las temáticas y dinámicas académicas de la carrera, con el fin de acercarlos al conocimiento y desempeño de la labor y ejercicio como ingenieros. Para ello, el texto resuelve inquietudes tales como ¿qué es la Ingeniería Ambiental y Sanitaria? y ¿cuáles son sus áreas de estudio?; además, abarca temas de responsabilidad social y ética en la ingeniería. Para finalizar, se incluyen actividades y proyectos de fácil comprensión y realización; con miras a generar inquietud y sensibilidad en los estudiantes, que les permitan aprender a contextualizar la problemática ambiental que los rodea y de esta manera consolidar su perfil vocacional.