bluuebunny/crossref_metadata_2025 huggingface dataset:
The Korea Cohort Consortium: The Future of Pooling Cohort Studies
Authors: Lee Sangjun , Ko Kwang-Pil , Lee Jung Eun , Kim Inah , Jee Sun Ha , Shin Aesun , Kweon Sun-Seog , Shin Min-Ho , Park Sangmin , Ryu Seungho , Yang Sun Young , Choi Seung Ho , Kim Jeongseon , Yi Sang-Wook , Kang Daehee , Yoo Keun-Young , Park Sue K.
Published: September 2022

Objectives: We introduced the cohort studies included in the Korean Cohort Consortium (KCC), focusing on large-scale cohort studies established in Korea with a prolonged follow-up period. Moreover, we also provided projections of the follow-up and estimates of the sample size that would be necessary for big-data analyses based on pooling established cohort studies, including population-based genomic studies.Methods: We mainly focused on the characteristics of individual cohort studies from the KCC. We developed “PROFAN”, a Shiny application for projecting the follow-up period to achieve a certain number of cases when pooling established cohort studies. As examples, we projected the follow-up periods for 5000 cases of gastric cancer, 2500 cases of prostate and breast cancer, and 500 cases of non-Hodgkin lymphoma. The sample sizes for sequencing-based analyses based on a 1:1 case-control study were also calculated.Results: The KCC consisted of 8 individual cohort studies, of which 3 were community-based and 5 were health screening-based cohorts. The population-based cohort studies were mainly organized by Korean government agencies and research institutes. The projected follow-up period was at least 10 years to achieve 5000 cases based on a cohort of 0.5 million participants. The mean of the minimum to maximum sample sizes for performing sequencing analyses was 5917-72 102.Conclusions: We propose an approach to establish a large-scale consortium based on the standardization and harmonization of existing cohort studies to obtain adequate statistical power with a sufficient sample size to analyze high-risk groups or rare cancer subtypes.
Homo sapiens, une espèce invasive
Authors: Hublin Jean-Jacques
Published: September 2022

Partie de sa niche éco-géographique africaine, l’espèce Homo sapiens a étendu son emprise sur l’ensemble de la planète au cours de son expansion, entraînant une perte de la biodiversité et la disparition d’autres espèces humaines, comme les Néandertaliens, avec lesquelles elle a parfois coexisté. Comment notre espèce s’est-elle ainsi imposée ? Était-elle réellement plus avancée que les autres formes d’humanité qui ont évolué parallèlement à elle ? Cette leçon inaugurale tente de définir Homo sapiens, de l’évolution de ses traits morphologiques et physiques à ses capacités cognitives, en passant par la maîtrise de certaines technologies.
Le théâtre dans les discours institutionnels cadrant son enseignement dans le secondaire aujourd’hui : objet littéraire et/ou art de la scène ?
Authors: Ahr Sylviane
Published: September 2022

Les programmes actuels d’enseignement dans les classes françaises du secondaire, les ressources numériques qui accompagnent leur mise en œuvre et les rapports des jurys des concours, externes et internes, de recrutement des professeurs de français de 2016 à 2021 tendent à souligner plus ou moins explicitement que l’enseignement scolaire du théâtre doit associer étroitement texte et représentation, conjuguer approches littéraire, dramaturgique et scénique. Cependant, la confrontation de ces différents discours institutionnels, qui déterminent, d’une façon ou d’une autre, les pratiques de classe, met au jour quelques points de divergence en termes d’enjeux et de modalités d’enseignement du théâtre. Est plus particulièrement examiné l’équilibre que l’institution recommande aux professeurs de ménager entre le théâtre comme objet littéraire et le théâtre comme art de la scène.
Lectures dramatique, dramaturgique, scénique : essai de modélisation à usage didactique
Authors: de Peretti Isabelle
Published: September 2022

Cet article cherche à dégager et à fonder théoriquement et didactiquement, une modalisation didactique de la lecture du théâtre, à l’usage des enseignants et des élèves, en croisant une démarche partant des innovations et des recherches issues du terrain et des travaux théoriques sur cette question. Cette modalisation envisage trois modes ou régimes de lecture du théâtre, en liens étroits et se contaminant les uns les autres et propose des pistes didactiques d’exploitation, afin de guider les enseignants dans leurs mises en œuvre dans les classes au service du développement de l’élève lecteur-acteur-spectateur de théâtre.
Le théâtre contemporain au collège
Authors: Hesse-Weber Armelle
Published: September 2022

L’objet de cet article est, après avoir brossé à grands traits l’état de l’enseignement du théâtre en général et du théâtre contemporain en particulier au collège, de décrire une séquence portant sur La Jeune Fille, le Diable et le moulin d’Olivier Py, proposée en classe de sixième à travers la mise en place d’un parcours d’éducation artistique et culturel (Peac). Il s’agira non seulement d’en décrire les différentes étapes, mais aussi de démontrer les enjeux et intérêts de la rencontre avec le théâtre contemporain pour les élèves de collège d’une part, et de la pratique de l’adaptation en production comme en réception d’autre part.
Developing Global Leaders With Intercultural Competencies Using Social Constructivism
Authors: Han Pi-Chi
Published: September 2022

The shortage of global leaders has become a significant constraint for many organizations in the global arena. The need of developing global leaders with adequate intercultural competencies has become obvious. Many studies provide the cross-cultural competency taxonomies, rather a theory to conceptualize intercultural competencies for developing global leaders. The problem remains unsolved and becomes more complex. In the present paper, it is proposed that social constructivism is a useful theoretical foundation to develop intercultural competencies for developing global leaders.
Evaluating the Impact of Cryptographic Algorithms on Network Performance
Authors: Asare Samuel , Yaokumah Winfred , Gyebi Ernest Barfo Boadi , Abdulai Jamal-Deen
Published: September 2022

Cryptographic algorithms enable secure data communication over public insecure networks. Though they enhance network security, complex cryptographic operations consume substantial amounts of computing resources, introducing significant network overhead costs. This study aims to find the cryptographic algorithm that can efficiently utilize network resources. The study evaluates three cryptographic algorithms with different file formats on varying numbers of node densities. The NS-3 simulator was used to measure latency, data throughput, end-to-end delay, packet delivery ratio, and packet loss of files in text, image, and audio formats. The results find AES as better than DES and 3DES for a large number of node densities for the three file formats in terms of latency, data throughput, end-to-end delay, and packet delivery ratio. However, DES has the lowest packet loss as AES records the highest packet loss. The findings provide researchers avenues for further research and the practitioners the choice of suitable algorithms based on the overhead performance.
Methodology to Support the Triage of Suspected COVID-19 Patients in Resource-Limited Circumstances
Authors: Alberti Alexandre Ramalho , Frej Eduarda Asfora , Roselli Lucia Reis Peixoto , Britto Murilo Amorim , Campelo Evônio , Teixeira de Almeida Adiel , Ferreira Rodrigo José Pires
Published: September 2022

COVID-19 pandemic has put health systems worldwide under pressure. Thus, establish a triage protocol to support the allocation of resources is important to deal with this public health crisis. In this paper, a structured methodology to support the triage of suspected or confirmed COVID-19 patients has been proposed, based on the utilitarian principle. A decision model has been proposed for evaluating three treatment alternatives: intensive care, hospital stay and home isolation. The model is developed according to multi-attribute utility theory and considers two criteria: the life of the patient and the overall cost to the health system. A screening protocol is proposed to support the use of the decision model, and a method is presented for calculating the probability of which of three treatment is the best one. The proposed methodology was implemented in an information and decision system. The originality of this study is using of the multi-attribute utility theory to support the triage of suspected COVID-19 and implement the decision model in an information and decision system.
Advancement in Healthcare Systems by Automated Disease Diagnostic Process Using Machine Learning
Authors: Goel Sachin , Bharti R. K. , Rao A. L. N.
Published: September 2022

E-adoption of emerging technology plays an important role during the pandemic. The COVID-19 pandemic taught us that everyone must make himself healthy and immune to viral disease. Diabetes is the most common disease in the Indian population found in people of every age. The objective of this research work is to use the emerging technologies such as machine learning to implement e-adoption in the healthcare system. The proposed methodology can predict the diabetes disease by using vital parameters like age, glucose level, blood pressure, etc. This proposed model is implemented into Python programming language and various machine learning classifiers such as random forest, decision tree, logistic regression, and XGBoost are used on PIMA database. Thereafter, comparative analysis is performed to test which technique is better for predicting and diagnosing diabetes disease. The method founds XGBoost classifier gives the highest accuracy (i.e., 84%) among all classifiers with single database and single classifier.
Deep Neural Network Regularization (DNNR) on Denoised Image
Authors: Singh Richa , Dubey Ashwani Kumar , Kapoor Rajiv
Published: September 2022

Image dehazing in supervised learning models suffers from overfitting and underfitting problems. To avoid overfitting, the authors use regularization techniques like dropout and L2 norm. Dropout helps in reducing overfitting and batch normalization reduces the training time. In this paper, they have conducted experiments to analyze combination of various hyperparameters to have better network performance using deep neural network (DNN) on cifar10 dataset. The qualitative and quantitative study is performed by estimating the accuracy of the model on training and test images using with and without batch normalization. The proposed model performs better and is more stable. The results shows that dropout regularization technique is better than L2 technique containing hidden layers with large neurons. The paper assesses performance of DNN for any denoised model with the techniques like batch normalization and dropout, feature map, and adding more layers to the network. The authors quantitatively identify the value model loss and accuracy with the absence and presence of these parameters.
Social Network Anomaly Detection for Optimized Decision Development
Authors: Srivastava Harshit , Sheybani Ehsan , Sankar Ravi
Published: September 2022

The paper presents the development of systems for improved source selection in a process that creates real-time categorization of events using only posts collected through various sensing applications that use social networks (such as Twitter or other mass dissemination networks) for reporting. The system recognizes critical instances in applications and simply views essential information from users (either by explicit user action or by default, as on Twitter) within the event and provides a textual description. As a result, social networks open up unprecedented possibilities for creating sensing applications by representing a set of tweets generated in a limited timeframe as a weighted network for influence concerning users. Obtaining data from a network of social site users substantiates the quality and dependability of data. It collects many users' dynamic behavior to construct and disseminate related information across the channel. The goal is to find a link between various data sources for event abnormalities.
Detection and Analysis Ads Through the Mini-Programs
Authors: Liu Biao , Liu Linjie , Zhang Jianyi
Published: September 2022

Due to the widespread application and rapid delivery of advertisements for mini-programs, mini-program users are increasingly being harassed by advertisements. However, due to the existence of mini-programs dependent on the corresponding platforms, traditional advertising detection methods cannot detect the advertisements of the mini-programs. In the process of collecting and studying advertising problems, the authors have developed a framework that can run continuously almost without human intervention. They have analyzed 4853 mini-programs in total and got a general understanding of the problems of mini-programs' advertisements. There are several interesting findings, such as frequent pop-up advertisements, redirection, pornographic advertisements, etc. The authors have further detected pornographic advertisements and analyzed the links obtained in mini-programs to identify the malicious nature of the links. Broadly speaking, the framework collects the advertising problems of mini-programs and detects and analyzes some advertisements and malicious links to strengthen the supervision of the platform.
Performance Evaluation of Machine-Learning Models for Self-Healing in 5G Networks
Authors: Omar Tamer , Amamra Abdelfattah , Ketseoglou Thomas , Mejia Cristian , Soto Cesar , Stankus Quinlan , Zelinka Grant
Published: September 2022

The 5G self-organizing network is a viable solution to the problem of increasing user-connectivity, data rates, and network complexity. This paper proposes a SON solution that uses machine learning for anomaly detection in order to meet user demands. Three different supervised ML algorithms are used for anomaly detection to see which provides the most efficient and accurate results. The various algorithms used key performance indicators (KPIs) to determine whether a base station is healthy, congested, or failing. In order to achieve unbiased results, large datasets composed of multiple simulated network scenarios were preprocessed and partitioned for training and testing. The results show that state vector machine algorithm can accurately detect the status of a base station at exponentially lower processing times than the other ML algorithms. This algorithm was most efficient when larger datasets were used to create the model.
Introduction of a Method Using GIS to Generate Rendezvous Areas for Mobile Sinks in WSNs
Authors: Chardon Fabian Adrien , An Min Kyung
Published: September 2022

This paper proposes an algorithm to change the concept of rendezvous points (RPs), which have been commonly used in mobile sink routing problem of wireless sensor networks (WSNs) to rendezvous areas (RAs) and to generate RAs by using geographic information system (GIS) tools. With the traditional RPs, a mobile sink must have visited the points, and possible deviations from the points would cause the mobile sink difficulty finding exact locations to collect data. However, with suggested RAs, the mobile sink is capable of receiving data from sensor nodes in an RA by visiting any points within the RA. It also reduces the traveling distance of the mobile sink, thereby prolonging its lifetime. With appropriate extensions with GIS tools, the algorithm can generate 3D RAs, which can be simulated in more realistic environments.
Performance Management System Implementation Challenges in State-Owned Enterprises
Authors: Baporikar Neeta
Published: September 2022

It is common especially in developing countries that implementing a performance management system (PMS) in public institutions face numerous challenges. This may be due to poor leadership; lack of goal setting; poor alignment of individual personal objectives with organizational goals; lack of communication lack of training and personal development; lack of monitoring, review, and performance feedback; lack of change management initiatives; and no reward for exceptional performance. Adopting a systematic literature review and critical content analysis, this paper focuses on the concept of management systems, particularly the implementation of the PMS, identifies the challenges hindering the implementation of the PMS in an organization, and highlights the success factors of PMS with reference to state-owned enterprises.
Innovating in the Tourism Industry Through Virtual Reality (VR) and Education in the Hotel Business
Authors: Rohlíková Lucie , Fiala Jan , Hán Jan , Husák Jan , Chadt Karel , Chalupa Štěpán , Jenčková Jiřina , Kotek Martin , Kotek Michal , Perutková Martina , Průcha Tomáš , Stejskal Jakub , Visvizi Anna
Published: September 2022

In the interdisciplinary co-operation of experts in the fields of technology, hospitality, and pedagogy, a 3D training module was created, which simulates the environment of a hotel reception. Key elements of communication between hotel staff and various types of guests were identified, and variant scenarios of communication situations were prepared. Scenarios are based on the principles of effective simulation. The methodology of training communication skills of hotel employees using virtual reality tools was compiled on the basis of foreign research in the field of using virtual reality in training processes. The tool is a pilot test in teaching tourism workers, specifically for the development of their communication skills in dealing with clients. The paper presents, in detail, a model of virtual reception and methodology of communication skills training, which was verified on students who are preparing to work in tourism, as well as on hotel staff with experience.
A Survey on Brain Tumor Segmentation and Classification
Authors: Jemimma T.A. , Vetharaj Y. Jacob
Published: September 2022

Brain tumor segmentation and classification is really a difficult process to identify and detect the tumor region. Magnetic resonance image (MRI) gives valuable information to find the affected area in the brain. The MRI brain image is initially considered, which specifies four various modalities of the brain such as T1, T2, T1C, and the Flair. The preprocessing methodologies and the state-of-the-art MRI-related brain tumor segmentation and classification methods are discussed. This study describes the different types of brain tumor segmentation and classification techniques with its most important contributions. The survey of brain tumor segmentation and classification (BTSC) technique including the four main phases—preprocessing, feature extraction, segmentation, and classification—is discussed. The different types of BTSC techniques are listed, along with their great contributions. A review of recent articles on classifiers shows the eccentric features of classifiers for research.
An Efficient Approach of Vehicle Detection Based on Deep Learning Algorithms and Wireless Sensors Networks
Authors: Nakkach Cherifa , Zrelli Amira , Ezzdine Tahar
Published: September 2022

Machine learning is applied to analyze and classify automatically images. Artificial intelligence (AI) is considered very successful in this area. Therefore, AI is exploited to evaluate the opportunities of big data and to extract value from massive and varied data sources. In order to detect any event (person, vehicle, dog, eyes, traffic, terrorist activity), ML is explored. Hence, advanced ML techniques recur to multimedia wireless sensor networks (MWSN) to detect any event in the considered area. In this work, the authors propose an enhanced architecture MWSN, which is able fly any event detection. In this context, this paper addresses the problem of vehicle detection using convolutional neural networks using a proposed architecture MWSN. Therefore, to reach this goal, the authors assess the performance of three state-of-the-art CNN algorithms, namely faster R-CNN, which is the most popular region-based algorithm; YOLO, which is known to be the fastest one; and SSD, which takes one single shot to detect multiple objects within the image.
Defect Detection in Printed Circuit Boards Using Leaky-LeNet 5
Authors: Nayak Jithendra P. R. , Parameshachari B. D.
Published: September 2022

Each electronic device includes printed circuit boards (PCBs), where defect detection is an important process to enhance the quality of PCB production. To accomplish error-free PCBs, the researchers and experts converted traditional manual inspections into automated systems. The manual inspection results are ineffective, where the non-defective PCBs are classified as defective PCBs. A subsequent study added a technique called LeNetwork-5 (LeNet-5) and speeded up robust feature extraction (SURF) techniques to identify defects. The existing method was unreliable, so further research was conducted in this area using Leaky techniques. Two objectives are achieved using SURF technique: (1) registration of the PCB to be checked against a reference PCB and (2) identification of feature points on the PCB helps to find missing components. Additionally, the Leaky LeNet-5 classifier is employed to classify the defects in PCBs. The proposed method achieved accuracy of 99.83%, sensitivity of 96.26%, specificity of 99.15%, and F1-Score of 98.45%.
The Quality Improvement of Medical Tourism Education Service in Korea
Authors: Byun Harim , Park Jongwoo
Published: September 2022

The purpose of this study is to find a way to improve the quality of medical tourism education services in Korea. This study used a method of conducting a survey targeting students who have completed medical tourism education and industry-related experts by applying the revised IPA and AHP analysis. The results of this study are as follows; First, it was found that students and experts commonly recognized the instructor competence as an important factor. Second, the education program that was selected as the first priority in AHP was identified as an excitement factor from the perspective of students. Third, among the instructor's interaction qualities, it was found that 'identifying the level of understanding of students' is important to both students and experts. Fourth, among the services provided by educational institutions, it was found that 'providing information' is important to both students and experts. Finally, it was confirmed that neither students nor experts are aware of the importance of environmental quality.
A Chatbot to Facilitate Student Learning in a Programming 1 Course
Authors: Malik Sohail Iqbal , Ashfque Mohammed Waseem , Tawafak Ragad M. , Al-Farsi Ghaliya , Ahmad Usmani Naushad , Hamza Khudayer Baidaa
Published: September 2022

The programming domain is a challenging field of study for most novice programmers. Novices have to learn different skills in the Programming 1 course at the same time. This study prepared and introduced a chatbot in the course. The chatbot emphasizes syntax and semantics, problem solving strategies, course details, and common programming syntax and semantics errors. The influence of the chatbot on students' learning in the Programming 1 course was determined by performing a survey and analyzing the final grades of the course. The survey results reveal that the chatbot approach was appreciated by both female and male students in the Programming 1 course. The chatbot helped novices in comprehending the fundamental programming concepts and understanding common syntax and semantic errors. The analysis of final grades shows that female students perform well in the medium and low achiever categories, and male students show better performance in the high achiever category.
From Open to Closed: COVID-19 Restrictions on Previously Unrestricted Visitation Policies in Adult Intensive Care Units
Authors: Marmo Suzanne , Milner Kerry A.
Published: September 2022

Background

In March 2020, rising numbers of COVID-19 infections contributed to changes in intensive care unit visitation policies, with some facilities allowing no visitors.

Objective

To compare visitation policies of Magnet and Pathway to Excellence hospitals with prepandemic open visitation in adult intensive care units.

Methods

A mixed-methods study was conducted from January through March 2021. Quantitative data on visitation policies were extracted from websites of 96 Magnet and Pathway to Excellence hospitals that had allowed unrestricted visits in adult intensive care units before the pandemic. Qualitative data were collected via semistructured interviews with 9 nurse leaders from these hospitals.

Results

More than 1 year after the start of the pandemic, all of the hospitals had instituted restricted visitation policies. The policies varied, with little to no evidence-based justification. Restrictions included 83% of hospitals (n = 80) allowing just 1 visitor per day and 69% of hospitals (n = 50 of 72) allowing no visits at all for patients with COVID-19 in the intensive care unit. Five themes were found when nurse leaders’ interviews were analyzed: visitors not welcome, doing harm, external decisions at system level, visiting within limits, and changes in critical care nursing work.

Conclusion

Results of the study suggest that despite the vast amount of evidence supporting the benefits of visitation and the harms of restricted visitation and expert recommendations for returning safe visitation to hospitals, Magnet and Pathway to Excellence hospitals continue to enforce restricted visitation policies in intensive care units. Patients, families, and nursing and health care staff must partner to create pandemic-proof visitation policies.
The effects of maternal-child nursing clinical practicum using virtual reality on nursing students’ competencies: a systematic review
Authors: Hwang Sungwoo , Kim Hyun Kyoung
Published: September 2022

Purpose: This study aimed to investigate the effects of virtual reality used in maternal-child nursing clinical practicums on nursing students’ competencies through a systematic review.Methods: The inclusion criteria were peer-reviewed papers in English or Korean presenting analytic studies of maternal-child nursing practicums using virtual reality. An electronic literature search of the Cochrane Library, CINAHL, EMBASE, ERIC, PubMed, and Research Information Sharing System databases was performed using combinations of the keywords “nursing student,” “virtual reality,” “augmented reality,” “mixed reality,” and “virtual simulation” from February 4 to 15, 2022. Quality appraisal was performed using the RoB 2 and ROBINS-I tools for randomized controlled trials (RCTs) and non-RCTs, respectively.Results: Of the seven articles identified, the RCT study (n=1) was deemed to have a high risk of bias, with some items indeterminable due to a lack of reported details. Most of the non-RCT studies (n=6) had a moderate or serious risk of bias related to selection and measurement issues. Clinical education using virtual reality had positive effects on knowledge, skills, satisfaction, self-efficacy, and needs improvement; however, it did not affect critical thinking or self-directed learning.Conclusion: This study demonstrated that using virtual reality for maternal-child nursing clinical practicums had educational effects on a variety of students’ competencies. Considering the challenges of providing direct care in clinical practicums, virtual reality can be a viable tool that supplements maternal-child nursing experience. Greater rigor and fuller reporting of study details are required for future research.
Extent of Role: Anti-Diabetic Medications
Authors: Hong Jun Hwa
Published: September 2022

In management of diabetes, glucose lowering is the basic target of treatment. Insulin is essential to type 1 diabetes. Non-insulin therapy in type 2 diabetes is very diverse and continuously developing to improve glucose control and prevent diabetes-related complications. In the recent 30 years, recommended specifications of anti-diabetic drugs are high glucose-lowering efficacy, low risk of hypoglycemia, less burden of weight gain, and cardiovascular safety. With development of SGLT2 inhibitors (sodium glucose cotransporter 2 inhibitors) and GLP-1RA (glucagon-like peptide-1 receptor agonist), the clinical benefits also include risk reduction of diabetes-related complications (hospitalization for heart failure, chronic kidney disease, atherosclerotic cardiovascular disease), even in non-diabetic patients. Anti-diabetic medication can have a role in holistic management for prevention and treatment of diabetes and diabetes-related complications, as well as an improvement of mortality.
Clinical Nutrition Therapy for Weight Control in Obese Diabetic Patients
Authors: Kim Mihyang
Published: September 2022

Clinical Practice Guidelines for Diabetes recommend that overweight or obese adults lose more than 5% of their body weight and reduce their total caloric intake to maintain the reduced body weight. In diabetic patients, the goal of weight control is not simply to lose weight, but to achieve health benefits by controlling blood sugar well and reducing the risk of complications and other comorbidities. An extremely calorie-restricted diet, whose long-term effectiveness has not been verified, is not recommended as it may increase the risk of hypoglycemia and ketoacidosis. For weight control in obese diabetic patients, it is important to follow diabetic diet guidelines while setting actionable energy goals that prevent hypoglycemia and do not increase health risks. The energy target should be adjusted in consideration of individual conditions such as daily intake, body size, and activity level.
Синхронизация конечных автоматов
Authors: Volkov Mikhail Vladimirovich
Published: September 2022

Дан обзор современного состояния теории синхронизируемых автоматов в еe части, относящейся к случаю полных детерминированных автоматов. Освещены алгоритмические и теоретико-сложностные аспекты, описаны имеющиеся результаты в направлении гипотезы Черни и методы их получения.
Библиография: 193 названия.
Весовые системы и инварианты графов и вложенных графов
Authors: Kazarian Maxim Eduardovich , Lando Sergei Konstantinovich
Published: September 2022

В данной статье описываются недавние достижения в теории весовых систем - функций на хордовых диаграммах, удовлетворяющих так называемым $4$-членным соотношениям. Основное внимание уделено методам построения конкретных весовых систем. Двумя основными источниками конструкций, обсуждаемых в статье, являются инварианты графов пересечений хордовых диаграмм, удовлетворяющие $4$-членным соотношениям для графов, и метризованные алгебры Ли.
Для простейшего нетривиального случая метризованной алгебры Ли $\mathfrak{sl}(2)$ мы приводим недавние результаты о явном виде производящих функций для значений весовой системы на важных сериях хордовых диаграмм. Вычисления основаны на рекуррентных соотношениях Чмутова-Варченко. Также мы приводим еще одно недавнее достижение - построение рекуррентных соотношений для вычисления значений $\mathfrak{gl}(N)$-весовой системы. Эти соотношения основываются на предложении М. Э. Казаряна о продолжении $\mathfrak{gl}(N)$-весовой системы на произвольные перестановки.
В ряде недавних работ предложен подход к продолжению весовых систем и инвариантов графов на произвольные вложенные графы, основанный на анализе структур соответствующих алгебр Хопфа, и мы описываем основные принципы этого подхода. Весовые системы, определенные на вложенных графах, отвечают инвариантам конечного порядка зацеплений (многокомпонентных узлов).
Библиография: 65 названий.
Evaluation of the Knowledge and Awareness Level of the Pediatric Residents About the Diagnosis, Treatment and Follow-up of Urinary Tract Infection in Children
Authors: Devrim Fatma , Besin Dorukhan , Kantar Özşahin Aslı , Pehlivan Zorlu Betül , Dur Özlem , Yılmaz Ebru , Dincel Nida
Published: September 2022

Objective: In this study, we sought to assess pediatric residents’ level of knowledge about the diagnosis, treatment, and follow-up of urinary tract infection in children.
Methods: This survey was a descriptive study applied to pediatric residents. In the study, a questionnaire form prepared by researchers consisting of questions about socio-demographic features, about the diagnosis, treatment, and follow-up of urinary tract infection in children was used.
Results: Eighty-eight physicians participated in this research. The percentage of participants who correctly indicated urine culture based on the results of routine urinalysis in the diagnosis of urinary tract infection ranged from 95.5% to 96.6. 54.5% of participants (n=48) correctly identified the indication for ultrasonography in children with acute urinary tract infection. 67.0% (n=59) of the participants answered that Mercaptuacetyltriglycin was not appropriate for initial evaluation of recurrent urinary tract infection under the age of one year, while 33.0% (n=29) answered the question incorrectly. In clinical scenarios, 48.9% (n=43.0) participants made the proper decision for treatment of extended spectrum beta-lactamase-positive E. coli treatment.
Conclusion: In conclusion, pediatric residents had appropriate training and experience in the diagnosis of urinary tract infection in children. However, over half of the residents lacked sufficient training in the management of resistant bacteria and additional radiological imaging techniques. Considering this, we believe it will be good to keep the knowledge updated concerning the treatment and follow-up of children with urinary tract infection through in-service training and post-graduate education.
Are Genetics Involved in the Development of Multisystem Inflammatory Syndromes in Children?
Authors: Ipek Sevcan , Güllü Ufuk Utku
Published: September 2022

The relationship between Multisystem Inflammatory Syndrome in Children (MIS-C) and genetic predisposition is not well established. The aim of this article emphasize the presence of genetic predisposition in MIS-C by presenting two sibling cases from two separate families with a diagnosis of MIS-C. The patients applied with complaints of fever, abdominal pain, diarrhea and maculopapular rash. While the coronavirus disease-2019 (COVID-19) polymerase chain reaction test was negative in all cases, three had both IgM and IgG positivity, and the other case had only IgG positivity. Patients who did not define any other infection were diagnosed with MIS-C according to the Centers for Disease Control and Prevention criteria. The patients were discharged with full recovery. The fact that siblings share the same genetic background and the same environmental factors suggests that MIS-C syndrome occur in individuals with a genetic predisposition. Further genetic studies with a large MIS-C series are needed to determine which genotypic trait may cause the development of MIS-C in COVID-19 infection.
Analysis of ridges and grooves shape in grating coupler for optimization of integrated optics sensor structures.
Authors: Struk Przemysław
Published: September 2022

The paper presents a theoretical analysis of a sensor structure based on a planar waveguide and grating coupler designed to determine selected physical properties of blood – hemoglobin concentration and oxidation level. In particular analysis were focused on optimization of selected geometrical properties of grating coupler (shape of ridges and grooves) to obtain maximum efficiency of uncoupling of light from the sensor structure. The analysis were carried out for three type of ridges and grooves shape in grating coupler: rectangular, triangular and sinusoidal. Full Text: PDF ReferencesI. . Singh, A.Weston, A. Kundur, G. Dobie, Haematology Case Studies with Blood Cell Morphology and Pathophysiology; Elsevier: Amsterdam, The Netherlands, (2017). DirectLink P. Jarolim, M. Lahav, SC. Liu, J. Palek, "Effect of hemoglobin oxidation products on the stability of red cell membrane skeletons and the associations of skeletal proteins: correlation with a release of hemin", Blood 76, 10 (1990). CrossRef E. Beutler, J. Waalen, "The definition of anemia: what is the lower limit of normal of the blood hemoglobin concentration?", Blood 107, 5 (2006). CrossRef M. Kiroriwal, P. Singal M. Sharma, A. Singal, "Hemoglobin sensor based on external gold-coated photonic crystal fiber", Optics & Laser Technology 149, 107817 (2022). CrossRef A. A. Boiarski, J. R. Busch, B. S. Bhullar, R. W. Ridgway, V. E. Wood, "Integrated optic sensor with macro-flow cell", Proc. SPIE Integrated Optics and Microstructures 1793 (1993). CrossRef L. Cheng, S. Mao, Z. Li, Y. Han and H. Y. Fu, "Grating Couplers on Silicon Photonics: Design Principles, Emerging Trends and Practical Issues", Micromachines 11, 666 (2020). CrossRef P. Struk, "Design of an Integrated Optics Sensor Structure Based on Diamond Waveguide for Hemoglobin Property Detection", Materials 12, 175 (2019). CrossRef P. Struk, "Numerical analysis of integrated photonics structures for hemoglobin sensor application", Phot. Lett. Poland 12, 2 (2020). CrossRef P.V. Lambeck, "Integrated optical sensors for the chemical domain", Meas. Sci. Technol. 17, (2006). CrossRef W. Lukosz, "Integrated optical chemical and direct biochemical sensors", Sens. Actuators B Chem 29 (1995). CrossRef P. Struk, T. Pustelny, K. Gołaszewska,E. Kaminska, M.A. Borysiewicz, M. Ekielski, A. Piotrowska, "Hybrid photonics structures with grating and prism couplers based on ZnO waveguides", Opto-Electron. Rev. 21, (2013). CrossRef P. Struk, "Design of an integrated optics sensor structure for hemoglobin property detection", Proc. SPIE 11204, (2019). CrossRef OptiFDTD Technical Background and Tutorials - Finite Difference Time Domain Photonics Simulation Software, Optiwave Systems Inc. (2008). DirectLink K. Yee, "Cutoff Frequencies of Eccentric Waveguides", IEEE Transactions 14, 3 (1966). CrossRef
Diametric distribution of forestry species in riparian forest in the southern part of the Amazon
Authors: Ribeiro Fabiana Piontekowski , Bussinguer Angela Pereira , Gomes Leilson Ferreira , Piontekowski Valderli Jorge , Rodrigues Ecio , Amaro Marco Antonio , Castro Renato Vinícius Oliveira , Gatto Alcides
Published: September 2022

The expansion and changes in land use and land cover in the Southwest Amazon are mainly related to the activities of logging without management rules, agriculture and cattle production, which resulted in the conversion of natural forests, especially along water courses. This study aimed to verify the diametric distribution of forestry species with higher importance value index in the riparian forest of the Acre River (Acre, Brazil). The forestry inventory was performed at eight municipalities crossed by the Acre River, using two stage sample units (conglomerates) and applying stratified random sampling techniques at the river bank. Twenty-seven primary plots were installed, within which another four secondary plots were implanted. It was fitted Weibull’s probability density functions with 2 and 3 parameters to species diametric distribution, provided by the maximum likelihood method. Graphic analysis verified that 86% of the species analyzed presented a distribution trend with positive asymmetry. The distribution of the Weibull function with two parameters presented better the best estimative of the frequency of species by diameter class of the natural forest evaluated. Considering the heterogeneity of the species, further studies to verify whether the distribution behavior follows the same trend is recommended.
Struktura przestrzenno-organizacyjna Kościoła Polskokatolickiego w Polsce oraz lokalny przykład jego oddziaływania
Authors: Roguszna Adriana , Matykowski Roman
Published: September 2022

The spatial and organizational structure of the Polish Catholic Church in Poland and a local example of its impact

The Polish-Catholic denomination was established at the turn of the 19th and 20th centuries in the United States of America as a result of disputes between Polish emigrants and Roman Catholic diocesan authorities on the background of church property management and staffing of the parish. After Poland gained independence, this religious association (formally counted as unrecognized) undertook missionary activity in the country, creating a network of about 90 parishes and covering approximately 40,000 faithful. The study presents a contemporary description of the distribution of the parish of the Polish Catholic Church and describes the mechanisms of the creation of the parish of this religious association in Kotłów.
Jerozolima – święte miasto w średniowiecznych przewodnikach dla pielgrzymów
Authors: Mruk Wojciech
Published: September 2022

Jerusalem – a holy city in medieval guidebooks for pilgrims A literary genre, typical for the high and late Middle Ages, connected with pilgrimages to the Holy Land, were lists of holy places. The tradition of making such brief, impersonal, and often anonymous catalogues of places worth visiting dates from the 12th century. Such registers were prepared for people guiding pilgrims or even pilgrims themselves who travelled from Europe to the East. That is why, the literature tends to treat works of that type as “guidebooks”. Comparison of three medieval guidebooks i.e. Descriptio de locis sanctis by Rorgo Fretellus (ca. 1137), and two anonymous textes: Les sains pelerinages que l’en doit reqquerre el la Terre Sainte (ca. 1229–1239) and Peregrinationes totius Terrae Sanctae (1491) allows us to analyse changes of pilgrims’ needs and expectations. Creation and collapse of crusaders’ states, as well as development of Ayyubid and Mamluk empires changed political situation in the Holy Land and had a serious impact on pilgrimage movement. Forced modification of pilgrims’ routes took place during decades of important changes of piety of Latin Christians, so pilgrims needed updated guidebooks.
Księgi województwa kijowskiego w czasie wygnania
Authors: Stolicki Jarosław
Published: September 2022

Records of the Kievan Palatinate during the Exile

The article discusses the efforts of the Kievan nobility to secure castle records in the period when the palatinate’s dietines have been held in Włodzimierz, and analyzes the resolves of those dietines in this regard. It also discusses the activities of the commissioners appointed to revise old records, assess the extent of war damage to existing records, and oversee the proper keeping of new ones. The attention is also paid to the postulates put forward in the instructions for the palatinate deputies. The Kievans have sought to recover the records captured by the Muscovy, but this objective has not been attained. Other sources, such as manifestations and requisitions, have also been employed. Activities of the Kievan nobility have led to the revision of the castle records of Żytomierz and Owrucz. Żytomierz records have been kept at Łuck, remaining inaccessible to the Kievans until the record-keeping has been resumed in the 18th century. Old Owrucz records have been lost after the monastery fire, and the new ones have been reestablished in the late 1670s. Keeping of Kiev records has been resumed in 1684 in consequence of the reestablishment of the palatinate courts.
„Londyńska piękność”. Życie i twórczość brytyjskiej malarki Laury Alma-Tademy (1852–1909)
Authors: Biedka Karolina
Published: September 2022

“London beauty”: Life and works of the British painter Laura Alma-Tadema (1852–1909)

The article is an attempt to reconstruct the biography of the British painter Laura Alma-Tadema (1852–1909) on the basis of archival materials from the British press and period memoirs. The main aim of the article is to present the life and work of Laura Alma-Tadema as an example of one of the career paths that a woman artist from a wealthy British middle-class home could have chosen in a period when women fought for equality in many areas of life, including art. The profile of the now-forgotten artist, the wife of the esteemed British painter Sir Lawrence Alma-Tadema (1836–1912) and the stepmother of Laurence Alma-Tadema (1865–1940) – a writer who was actively involved in helping Poland and Poles during the World War I. The synthesis of the gathered information constitutes the most accurate biographical sketch of Laura Alma-Tadema to date. In addition to the history of her life and the characteristics of her artistic work, the article deals with the themes of the artistic milieu of Great Britain at the turn of the 19th and 20th centuries, the antisuffragism movement as well as the situation and social position of female artists from the perspective of an upper-middle-class woman.
Intelligence cooperation between Poland and Japan during the Second World War
Authors: Pałasz-Rutkowska Ewa
Published: September 2022

Military cooperation between Poland and Japan, including cooperation of intelligence officers, began after the two countries established diplomatic relations in March 1919 when Japan recognized Poland as an independent state. This cooperation thrived during the 1930s. Tokyo decided that Warsaw can be a valuable strategic point and a Japanese intelligence coordination centre for Europe, which would be oriented towards the East and the West (the USSR and Germany). In exchange for information, the Japanese allocated Polish intelligence liaison officers in their diplomatic posts in Germany, the Baltic states and Scandinavia. The Japanese enabled them to send reports in the Japanese diplomatic mail and issued suitable forged documents. The centre for this cooperation was Riga and Kaunas, later Berlin, Prague, Königsberg and Stockholm.
Przebieg i skutki czystki politycznej w okupowanej Japonii
Authors: Starecka Katarzyna
Published: September 2022

The political purge in occupied Japan: implementation and effects

The Allied forces in occupied Japan had two main tasks: to punish and eliminate from public life those found responsible for war crimes, and to democratise the country. One of the tools used to achieve these objectives was a large-scale political purge targeted against the pre-war military and political elite, members of nationalist organisations, employees of the state administration and media, educators and business leaders. The paper examines the rationale behind the purge organized between 1945 and 1952, the assumptions upon which it was based, procedures used and the effects that it had. The main focus is on the fate of political activists. It also presents the efforts to prepare the ground in parliament for a vote on a new, pacifist constitution and the way in which Cold War tensions changed the priorities of the US occupation and lead to the so-called red purge. Selected individual cases are analysed, including that of Hatoyama Ichirōwhose removal from politics and subsequent conflict with Yoshida Shigeru had far reaching implications for the post-war political scene in Japan.
Lexicon of Media Terms as an Attempt to Synthesize the Knowledge about the Mediasphere of the 21st Century from the Polish Perspective
Authors: Wolny-Zmorzyński Kazimierz , Filas Ryszard , Płaneta Paweł
Published: September 2022

The article presents the idea of a new “Lexicon of Media Terms” in Poland, showing important reasons for undertaking such a project. The preparation of the “Lexicon” is prompted, on the one hand, by the dynamic development of Polish and global media studies in the 21st century (its institutionalization in many research centers and universities, the development of professional and scientific periodicals, etc.), and on the other hand by the certain gap in Polish publishing market (the last publications of this type were created in the middle of the first decade of this century), and thus at a different stage of development of the mediosphere. Being aware of the availability of multi-volume international publications and online encyclopedias on the publishing market, the authors recognize that the aim of the project is not only to provide a processual and interdisciplinary account of contemporary changes in the mediosphere, but above all – from the Polish perspective, to popularize and highlight the achievements of Polish scholars – media researchers and representatives of related disciplines. “Lexicon” will differ from the previous publications in terms of form – it will include a much larger number of entries (about 3000) and content, entering areas that are new in terms of technology (resulting in an exponential growth of entries related to Internet media and in general – digital media), also covering new phenomena, new research areas and results of achievements of numerous circles of media scholars.