bluuebunny/crossref_metadata_2025 huggingface dataset:
Cutaneous Angiomyolipoma: A Distinct Entity that Should be Separated from Classic Angiomyolipoma. Complete Review of Existing Cases and Defining Fundamental Features. (Preprint)
Authors: Sanchez Natalia Gabriela , Ávila Romay Alfonsina , Martínez Luna Eduwiges , Padilla Rodríguez Alvaro Lezid
Published: June 2022

UNSTRUCTURED

Cutaneous angiomyolipoma is a rare mesenchymal tumor which is demographically, clinically, and immunohistochemically distinct from its renal and extra-renal counterpart. We present a case of cutaneous angiomyolipoma in the right retroauricular area of a 35 year-old male patient, and provide a broad systematic review of the literature and the largest compilation of cutaneous angiomyolipomas reported to date. According to the findings presented in this review, we conclude that cutaneous angiomyolipoma should be completely separated from renal and extrarenal angiomyolipomas, and therefore be considered a distinct entity in the classification of skin tumors.
Successful integration of EN/ISO 13606 standardized extracts from a patient mobile app into an electronic health record (Preprint)
Authors: Frid Santiago Andres , Fuentes Expósito Maria Angeles , Grau-Corral Immaculada , Amat-Fernandez Clara , Muñoz Mateu Montserrat , Pastor Duran Xavier , Lozano-Rubí Raimundo
Published: June 2022

BACKGROUND

There is an increasing need to integrate patient-generated health data into health information systems. The use of health information standards based on the dual model allows the achievement of semantic interoperability among systems. This article is framed within ASCAPE, a project that aims to employ Artificial Intelligence / Machine Learning mechanisms to support cancer patients’ health status and quality of life.

OBJECTIVE

To design and implement a methodology based on the dual model paradigm to communicate clinical information between a patient mobile app (Xemio) and an institutional ontology-based clinical repository (OntoCR) without loss of meaning.

METHODS

First, the variables to be communicated were defined and represented in both systems. Then, EN/ISO 13606 archetypes were created, and local concepts were modeled conforming to the standard in OntoCR and in Xemio. Extracts were sent to an API in OntoCR, which maps each element in the normalized XML files to its corresponding location in the ontology. In this way, instantiated data of patients are stored in the clinical repository.

RESULTS

Between December 22, 2020 and April 4, 2022, 1,100 extracts of 47 patients were successfully communicated (234 of secondary effects and 866 of daily activity). Furthermore, the creation of EN/ISO 13606-standardized archetypes allows the reuse of clinical information regarding daily activity and secondary effects, while with the creation of ontologies we extended the knowledge representation of our clinical repository.

CONCLUSIONS

Health information interoperability is one of the requirements for continuity of healthcare. The dual model allows the separation of knowledge and information in health information systems. EN/ISO 13606 was chosen for this project because of the operational mechanisms it offers for data exchange. To the extent of our knowledge, this is the first experience reported in the literature of effective communication of EN/ISO 13606 electronic health record (EHR) extracts between a patient mobile application and an institutional clinical repository.
Ethical Considerations and Methodological Uses of Twitter Data for Public Health Research: A Systematic Review (Preprint)
Authors: Takats Courtney , Kwan Amy , Wormer Rachel , Goldman Dari , Jones Heidi E , Romero Diana
Published: June 2022

BACKGROUND

Much research is being done using publicly available Twitter data in the field of public health, but what types of research questions these data are being used to answer and the extent to which these projects require ethical oversight is not clear.

OBJECTIVE

To describe the current state of public health research using Twitter data in terms of methods/research questions, geographic focus, and ethical considerations including informed consent of Twitter handlers.

METHODS

We implemented a systematic review, following PRISMA guidelines, of articles published between January 2006 and October 31, 2019 using Twitter data in secondary analyses for public health research found using standardized search criteria on SOCIndex, PsychInfo, and/or PubMed. Studies were excluded when using Twitter for primary data collection, such as for study recruitment or as part of a dissemination intervention.

RESULTS

We identified 367 articles that met eligibility criteria. Infectious disease (21.8%) and substance use (18.0%) were the most common topics for these studies, and sentiment mining (61.9%), surveillance (61.0%), and thematic exploration (59.1%) were the most common methodologies employed. About one-third of articles had a global/worldwide geographic focus; another third focused on the United States. The majority (60.5%) of articles used a native Twitter application programming interface (API), and a significant amount of the remainder (27.8%) used a third-party API. Only one third (32.3%) of studies sought IRB approval, while 16.9% included identifying information on Twitter users and/or tweets and 35.7% attempted to anonymize identifiers. Most studies included discussion of the validity of the measures (73.6%) and reliability of coding (69.7% for inter-reliability of human coding and 70.2% for computer algorithm checks), but less attention was paid to the sampling frame, and what underlying population the sample represented.

CONCLUSIONS

Twitter data may be useful in public health research, given its access to publicly available information. However, studies should exercise greater caution in considering the data sources, accession method, and external validity of the sampling frame. Further, an ethical framework is necessary to help guide future research in this area, especially when individual, identifiable Twitter users and tweets are shared and discussed.
Prediction of Price for Cars Using Machine Learning
Authors: Mekala Rithvik Raj
Published: June 2022

Abstract: Every day, many Indian customers sell their cars to other buyers, referred to as 2nd/3rd owners, etc., after they have used them. Many websites, such as cars24.com, cardekho.com, and OLX.com, provide these buyers with a place to sell their old cars, but what should thecar's price be? Machine learning algorithms may be able to overcome thisproblem. Using a history of prior used car sale data and machine learningtechniques such as Supervised Learning, I forecasted the selling price ofthe used car using machine learning algorithms such as Random Forest and Extra Tree Regression and the powerful python package Scikit- Learn. Regardless of how large or little the dataset is, the results show that both methods are highly accurate in prediction
A Report on Botnet Detection Techniques for Intrusion Detection Systems
Authors: D Sathya
Published: June 2022

Abstract— A botnet is a malware that degrades the functionality as well as access to a healthy computer system through malware programs. Botnet programs perform DDoS attack, Spam, phishing attacks. Botnet attack takes place in two ways which are peer to peer attacks and command and control attack. The peer-to-peer attack takes place to by passing botnet attacks from one system to another in a peer-to-peer network while the command-and-control attack takes place by a botmaster attack on a server which uses various transactions in exchange with systems on the network and those nodes in the networks function as slaves. The report presents a survey of various techniques of botnet detection models built using several types of machine learning techniques. The report gives the review on various methodologies involved in Botnet Detection and to identify the best methods involved to understand various dataset. We also surveyed on how classification, clustering is used in detection of Botnet to improve the accuracy of the model.
Audio Assistant Based Image Captioning System Using RLSTM and CNN
Authors: Reddy D Akash , Raju T. Venkat , Shashank V.
Published: June 2022

Abstract-- As we know, visually impaired or partially sighted people face a lot of problems reading or identifying any local scenarios. To vanquish this situation, we developed an audio-based image captioner that will identify the objects in an image and form a meaningful sentence that gives the output in the aural form. Image processing is a widely used method for developing many new applications. It isalso open source, so developers can use it easily. We used NLP (Natural Language Processing) to understand the description of an imageand convert the text to speech. A combination of R-LSTM and CNN is used, which is nothing but a reference based long-short term memory which matches different text data and takes it as reference and gives the output. Some of the other applications of image captioning are social media platforms like Instagram, etc., virtual assistants, and video editing software.
Performance Evaluation of 198 Village Governments using Fuzzy TOPSIS and Intuitionistic Fuzzy TOPSIS
Authors: Hayuningtyas Wridhasari , Purnomo Mauridhi Hery , Wibawa Adhi Dharma Wibawa
Published: June 2022

Currently, volatility, uncertainty, complexity, and ambiguity (VUCA) have become unavoidable problems. In addition, knowledge or information that is not managed properly can result in inappropriate decision-making processes within an organization. Business Intelligence conception is then becoming an essential view for converting unstructured data and information into a more actionable strategic plan that allows organizations to make competitive decisions. Village Government (VG) is the smallest organization in the Indonesian government system because VG implemented regulation and development programs in all areas of a national government. VG executes a series of tasks every year starting from planning, budgeting, administrating, executing, and reporting. However, the important role of VG in the development of a country brings also some drawbacks such as corruption and other domino effects. Several factors have been identified that cause those problems such as lack of capabilities in managing village organization and human resources quality. Monitoring and evaluation regarding those VG performances normally have been done each year. However, measurable evaluation standard for VG performance until recently has not been determined nationally. This study is intended to make a comprehensive standard of village government performance assessment through a Good Governance Framework approach. This study involved 198 villages from Madiun Regency as a case study. Seventy-four measured parameters were proposed to evaluate VG performance mapping. Fuzzy TOPSIS is implemented to rank those 198 villages into 4 groups of VG performance levels. The fuzzy TOPSIS classification result has been validated by using manual scoring and the accuracy reached 86,4%.
QSAR Study on Aromatic Disulfide Compounds as SARS-CoV Mpro Inhibitor Using Genetic Algorithm-Support Vector Machine
Authors: Hakim Rizki Amanullah , Aditsania Annisa , Kurniawan Isman
Published: June 2022

COVID-19 is a type of pneumonia caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). This virus causes severe acute respiratory syndrome and 2 million active cases of COVID-19 have been found worldwide. A new strain of the SARS-CoV-2 virus emerged that proved to be more virulent than its predecessor. Regarding the design of a new inhibitor for this strain, SARS-CoV Main Protease (Mpro) was used as the target inhibitor. In the in silico development, the Quantitative Structure-Activity Relationship (QSAR) method is commonly used to predict the biological activity of unknown compounds to improve the process of drug design of a disease, including COVID-19. In this study, we aim to develop a QSAR model to predict the activity of aromatic disulfide compounds as SARS-CoV Mpro inhibitors using Genetic Algorithm (GA) – Support Vector Machine (SVM). GA was used for feature selection, while SVM was used for model prediction. The used dataset is set of features of aromatic disulfide compounds, along with information on the toxicity activity. We found that the best SVM model was obtained through the implementation of the polynomial kernel with the value of R2­­train and R2test­ scores are 0.952 and 0.676, respectively.
SCREENING TEST ON DYSCALCULIA LEARNERS TO DEVELOP A SUITABLE AUGMENTED REALITY (AR) ASSISTIVE LEARNING APPLICATION
Authors: Miundy Kohilah , Badioze Zaman Halimah , Nordin Aliimran , Ng Kher Hui
Published: June 2022

Dyscalculia refers to persistent difficulty in learning Mathematics without being aware of the condition. Such a condition is not easily detected and most of them would be left undetected, apart from being labelled as lazy or slow learners. Early delay places them behind in acquiring other fundamental areas of Mathematics. As such, this study identified learners suffering from dyscalculia (also known as acalculia) through screening tests for early intervention. The methodology used in this study was based on two screening tests (ST1 and ST2) conducted on learners to identify ‘student areas’ or their specific type of dyscalculia using the Dyscalculia Screening Test Instrument (DSTI) and verification of the specific types made by selected expert teachers, respectively. An early identification study on suitable assistive learning technology for these learners was performed. Prior studies reported that suitable assistive technological tools can improve the learning process of those with learning disability (LD). The findings displayed the effectiveness of the screening tests (ST1 and ST2) in detecting learners with dyscalculia, particularly in areas related to memory, abstraction, sequencing processing, motor, and visual perception. The results derived from plausible assistive digital technology revealed that visual-based fusion technology, such as Augmented Reality (AR), exposed the dyscalculia learners to experiential learning approach that made learning Mathematics meaningful.
EMOTION ANALYTICS WITH PROCESS MINING
Authors: Palangsantikul Prajin , Porouhan Parham , Premchaiswadi Nucharee , Premchaiswadi Wichian
Published: June 2022

This research builds on the intersection of ‘process mining’ and ‘emotion analytics’ in order to discover and investigate the emotional patterns of students during the StudentLife project based on data collected by smartphones through PAM application (i.e., Photographic Affection Meter). The main objective of the study is to analyze and predict the relationships (or continuity) amongst 16 common emotional indicators based on the ‘Russel’s Circumplex Affect Grid’ and by means of Fuzzy Miner (supported by Disco Fluxicon) and Dotted Chart Analysis (supported by ProM) process mining tools and techniques. Accordingly, the current work is divided into two main parts. In the first part, a pre-processing (or data preparation/cleansing) approach via Python programming was done in order to change the format of the initially collected event logs from JSON to the appropriate format/structure. In the second part, the emotional datasets were analyzed using the above-mentioned techniques. To do this, new groups/clusters of contexts were categorized and pre-defined. The third part of the study deals with data interpretation and discussion of the obtained findings. The proposed/applied approach was capable of providing “frequency-based” models/graphs of the students’ behavior, both before and after the experiment, in terms of 5 categories: “Minimal, Minor, Moderate, Moderately Severe, and Severe” depression-related emotional trends ranging from Low Severity (NA) to High Severity (PA). This research provides groundwork for further and future studies.
A COMPARATIVE STUDY OF THREE CORNER FEATURE BASED MOVING OBJECT DETECTION USING AERIAL IMAGES
Authors: Mahayuddin Zainal Rasyid , Saifuddin Saif A F M
Published: June 2022

Corner feature based moving objects detection is an essential and fundamental research problem in the broader aspects of computer vision and pattern recognition research domain. Performance of various corner features based aerial types image processing specially for moving objects detection is still an unsolved issue due to up and down of performance which makes it difficult to choose the appropriate corner features for detection purpose. The core part mentioned in this research is to categorize significant corner characteristics of the objects using various corner features based detection methods in image extracted from aerial video. This research demonstrated three kinds of corner features, i.e. Moravec, Susan and Harris corners due to capability of these corner features to interpret high and low intensity various for aerial types of images. Standard datasets were used to evaluate each of the corner feature based detection. Based on comprehensive experimental analysis, Harris corner was observed performing efficiently comparing with Moravec and Susan corner based detection for both datasets considered by this research. Experimental results reveals the capacity of each corner characteristics based detection methodology in terms with the effectiveness using various performance metrics for moving object detection using aerial images.
PREDICTION OF CONGESTIONS USING BASIC TRAFFIC UNIT
Authors: Abd. Majid Khairani , Ramli Suzaimah , Syed Ali Sharifah Aishah
Published: June 2022

In any form of traffic, whether it is physical or digital, the main problem that sparks a lot of interest for researchers is congestion. This paper discusses a study of congestion around toll plazas. A newly formulated model called Basic Traffic Unit (BTU) is introduced from previous research. BTU is a representation of a basic network connected to form a larger network. A simulation study is conducted and some queuing theories are applied to calculate the measure of performance. Two sets of data from different modes of toll payment are collected. The same two types of payments are simulated and the measure of performance is recorded. The two types of payments from the collected real data are used to calculate the measure of performance using the formula developed by the BTU. This study demonstrates that the results from simulated data can be used to compare with the results from the real-time data using the formula developed by a static model of BTU to predict possible congestions. Comparing results from both methods validates the claim that BTU is useful for predicting congestions.
Efficacy of intraoperative fluorescence imaging using indocyanine green-containing gauze in identifying the appropriate dissection layer in laparoscopic intersphincteric resection: A case report
Authors: Kumata Hiroyuki , Onishi Keisuke , Takayama Tetsuro , Asami Kengo , Obara Noriyuki , Sugawara Hirofumi , Haga Izumi
Published: June 2022

In laparoscopic intersphincteric resection, identifying the dissection
layer near the anus is often difficult. We safely proceeded with it,
using indocyanine green-containing gauze on the anal side to remove the
internal anal sphincter with indocyanine green fluorography.
Hemangioma of the umbilical cord : a case report on a rare entity.
Authors: Thayer Maissa Ben , Hlel Imen , Khanchel Fatma , Mbarki Chaouki , Bettaieb Hajer , Brahim Ehsen Ben , Jouini Raja , Debbiche Achraf Chadli
Published: June 2022

Several hundred cases of placental hemangiomas have been reported in the
literature. However, the umbilical cord is extremely uncommon as a site
of occurence.We report the first case of hemangioma of the umbilical
cord synchronous to maternal infection with covid-19.We aim to study the
clinicopathological characteristics of this singular entity.
Left Main and Two Vessels Coronary Aneurysms Presented as Out of Hospital Cardiac Arrest in Young Patient.
Authors: Khodari Khaled Al , Tahtouh Raad Alhaj , Arabi Abdul Rahman , Khodari Mouaz Al
Published: June 2022

A 37-year-old patient was admitted secondary to ventricular fibrillation
induced out of hospital cardiac arrest. Coronary angiogram revealed left
main, left anterior descending, and right coronary arteries aneurysms.
The patient underwent bypass surgery with 4 grafts. Ejection fraction
improved from 30% upon admission to 45% at 3-months’ follow up.
Wandering Indoors 室内游荡
Authors: Xi Chuan 西川
Published: June 2022

We are grateful to our Academic Translation Team (ATT) (Zhang Wenqian, Wenxi Li, Peter Goff and Qiao Peng) for providing the English version of Xi Chuan's article.
Transnational Dialogues: Children’s Literature Across Borders
Authors: Zhao Xia , Wang Helen
Published: June 2022

EDITOR’S NOTE This feature series of transnational dialogues, two-way interviews between academics and/or practitioners in different countries, has been developed in line with our Journal’s aim to facilitate and enhance dialogue across borders whether geographical, disciplinary or professional. We are very grateful to our Features Editor, Helen Wang, for facilitating this series.
Malette pédagogique pour l'outil intégré sur l'efficacité de gestion : Guide pour évaluer et améliorer l'efficacité de gestion des aires protégées
Authors: Paolini Carlo , Rakotobe Domoina
Published: June 2022

La Malette pédagogique est le manuel de la version 2 de l’outil Intégré sur l’Efficacité de Gestion1 (IMET, en anglais) et de coaching ou action d’accompagnement professionnel des équipes de gestion des aires protégées. IMET est un outil d’aide à la décision destiné à faire avancer le processus de planification-suivi-évaluation pour améliorer l’efficacité de la gestion des aires protégées. Il est adapté à toutes les aires protégées, indépendamment de leur catégorie de gestion et de gouvernance. IMET recueille, organise et visualise les données relatives aux aires protégées pour en faciliter l’analyse et orienter la prise de décisions pour la planification, la gestion et l’organisation des opérations.
Dopamine Negatively Regulates Insulin Secretion Through Activation of D1-D2 Receptor Heteromer
Authors: Uefune Fumiya , Aonishi Toru , Kitaguchi Tetsuya , Takahashi Harumi , Seino Susumu , Sakano Daisuke , Kume Shoen
Published: June 2022

There is increasing evidence that dopamine (DA) functions as a negative regulator of glucose-stimulated insulin secretion; however, the underlying molecular mechanism remains unknown. Using total internal reflection fluorescence microscopy, we monitored insulin granule exocytosis in primary islet cells to dissect the effect of DA. We found that D1 receptor antagonists rescued the DA-mediated inhibition of glucose-stimulated calcium (Ca2+) flux, thereby suggesting a role of D1 in the DA-mediated inhibition of insulin secretion. Overexpression of D2, but not D1, alone exerted an inhibitory and toxic effect that abolished the glucose-stimulated Ca2+ influx and insulin secretion in β-cells. Proximity ligation and Western blot assays revealed that D1 and D2 form heteromers in β-cells. Treatment with a D1-D2 heteromer agonist, SKF83959, transiently inhibited glucose-induced Ca2+ influx and insulin granule exocytosis. Coexpression of D1 and D2 enabled β-cells to bypass the toxic effect of D2 overexpression. DA transiently inhibited glucose-stimulated Ca2+ flux and insulin exocytosis by activating the D1-D2 heteromer. We conclude that D1 protects β-cells from the harmful effects of DA by modulating D2 signaling. The finding will contribute to our understanding of the DA signaling in regulating insulin secretion and improve methods for preventing and treating diabetes.
Dopamine negatively regulates insulin secretion through activation of D1-D2 receptor heteromer
Authors: Uefune Fumiya , Aonishi Toru , Kitaguchi Tetsuya , Takahashi Harumi , Seino Susumu , Sakano Daisuke , Kume Shoen
Published: June 2022

  

There is increasing evidence that dopamine (DA) functions as a negative regulator of glucose-stimulated insulin secretion (GSIS); however, the underlying molecular mechanism remains unknown. Using total internal reflection fluorescence microscopy, we monitored insulin granule exocytosis in primary islet cells to dissect the effect of DA. We found that D1 receptor antagonists rescued the DA-mediated inhibition of glucose-stimulated calcium (Ca2+) flux, thereby suggesting a role of D1 in the DA-mediated inhibition of insulin secretion. Overexpression of D2 but not D1 alone exerted an inhibitory and toxic effect that abolished the glucose-stimulated Ca2+ influx and insulin secretion in beta-cells. Proximity ligation and western blot assays revealed that D1 and D2 form heteromers in beta-cells. Treatment with a D1-D2 heteromer agonist, SKF83959, transiently inhibited glucose-induced Ca2+ influx and insulin granule exocytosis. Co-expression of D1 and D2 enabled beta-cells to bypass the toxic effect of D2 overexpression. DA transiently inhibited glucose-stimulated Ca2+ flux and insulin exocytosis by activating the D1-D2 heteromer. We conclude that D1 protects beta-cells from the harmful effects of DA by modulating D2 signaling. The finding will contribute to our understanding of the DA signaling in regulating insulin secretion and improve methods for preventing and treating diabetes.
Carbonyl Post-Translational Modification Associated with Early Onset Type 1 Diabetes Autoimmunity
Authors: Yang Mei-Ling , Connolly Sean E. , Gee Renelle , Lam TuKiet T. , Kanyo Jean , Peng Jian , Guyer Perrin , Syed Farooq , Tse Hubert M. , Clarke Steven G. , Clarke Catherine F. , James Eddie A. , Speake Cate , Evans-Molina Carmella , Arvan Peter , Herold Kevan C. , Wen Li , Mamula Mark J.
Published: June 2022

Inflammation and oxidative stress in pancreatic islets amplify the appearance of various post-translational modifications (PTMs) to self-proteins.  Herein, we identified a select group of carbonylated islet proteins arising before the onset of hyperglycemia in non-obese diabetic mice. Of interest, we identified carbonyl modification of the prolyl-4-hydroxylase beta subunit (P4Hb) that is responsible for proinsulin folding and trafficking as an autoantigen in both human and murine type 1 diabetes.  We found the carbonylated P4Hb is amplified in stressed islets coincident with decreased glucose-stimulated insulin secretion and altered proinsulin to insulin ratios.  Autoantibodies against P4Hb were detected in prediabetic NOD mice and in early human type 1 diabetes prior to the onset of anti-insulin autoimmunity. Moreover, we identify autoreactive CD4+ T cell responses toward carbonyl-P4Hb epitopes in the circulation of patients with type 1 diabetes. Our studies provide mechanistic insight into the pathways of proinsulin metabolism and in creating autoantigenic forms of insulin in type 1 diabetes. 
A 84 mm-es Carl-Gustaf HSN többcélú fegyverrendszer
Authors: Földi Ferenc , Lőrincz János , Vígh János
Published: June 2022

A Magyar Honvédség a Honvédelmi és Haderőfejlesztési Program keretében, a lövész kisalegységek számára szerezte be a SAAB hordozható, vállról indítható fegyverrendszerét, amely képes a széles körű, modern harcászati igények kielégítésére. A Carl-Gustaf M4 (CGM4) kiterjedt alkalmazása a jelenlegi (és a fejlesztés alatt álló) lőszertípusok széles skáláján alapul, beleértve a páncéltörő, építményromboló, többcélú és élőerő elleni repesz-, valamint harctámogató világító- és füstgránátokat.
Nanoműholdak alkalmazhatósága védelmi és biztonsági célú űrműveletekben
Authors: Horváth Attila
Published: June 2022

A 2010-es években kirobbant „új űrkorszak” minden korábbinál könnyebbé tette az űrrendszerekhez, űrszolgáltatásokhoz történő hozzáférést. Az oktatási, kutatási célú alkalmazásokból kinőve, produktív iparág alakult ki. A korábban technikai érdekességnek vagy legfeljebb tesztplatformnak tekintett nano- és mikroműholdakból ma már évente több száz indul a világűrbe, hogy ott érdemi üzleti tevékenységeket támogasson. Az állami űrtevékenységek lassabban reagáltak erre a változásra, de mára ezek a miniatürizált űreszközök megjelentek a legnagyobb űrhatalmak katonai rendszereiben is. A tanulmány áttekinti a mikro- és nanoműholdak technikai jellemzőit, felépítését, a lehetséges hasznos terhek típusait és a pályára állítás sajátosságait.
Zlin Z 242L és Zlin Z 143LSi típusú repülőgépek integrálása a Magyar Honvédség újraindult pilótaképzésébe
Authors: Balla Tibor , Gáspár Tibor
Published: June 2022

A repülőgépvezetők képzése kiemelt feladat a világ öszszes hadseregében. A katonai repülés speciális ismereteket követel meg, amelyeket csak jól képzett oktatók és kellő alapossággal megválogatott hallgatók képesek elsajátítani. Képzésük költséges, ezért a követelmények is magasak. A tanulmányban a szerzők bemutatják a Magyar Honvédség által üzemeltetett kiképző repülőgépeket, a repülőgépvezetőkkel szemben támasztott követelményeket, valamint ismertetik a repülőgépek jellemzőit és további alkalmazásuk lehetőségeit.
Hazai haditechnikai fejlesztések és beszerzések bemutatkozása a kecskeméti repülőnapon
Authors: Kelecsényi István
Published: June 2022

A hosszú kihagyás után megrendezett kecskeméti Nemzetközi Repülőnapon és Haditechnikai Bemutatón a hazai és a külföldről érkezett nagyközönség a Honvédelmi és Haderőfejlesztési Program keretében beszerzett repülőeszközök mellett ezúttal számos szárazföldi haditechnikai eszközt is láthatott. A külföldi gyártók mellett a magyarországi védelmiipari cégek is bemutatkoztak, és nyilvánosságot kapott a hazai védelmi célú kutatás-fejlesztés számos új eredménye is.
Betonszerkezetek károsodása lövedékbecsapódás hatására
Authors: Hlavicka-Laczák Lili Eszter , Hlavička Viktor , Károlyi György , Hajdú Ferenc , Salem Georges Nehme , Vozsech István
Published: June 2022

A 2001. szeptember 11-i terrortámadás óta a kiemelt építményeket megnövekedett biztonsági elvárások mellett szükséges tervezni. Ez az előírás az újonnan épített nukleáris létesítményekre, köztük a Paks II. atomerőmű-beruházásra is vonatkozik. Ezen megnövekedett biztonsági igények meghatározzák, hogy a tervezett atomerőmű konténmentjének ellen kell állnia egy repülőgép-becsapódásnak is. Ilyen léptékű ütközés során igen sokféle extrém terhelés éri az építményt, kezdve a géptörzs felmorzsolódásától, a leszakadó hajtóművek behatolásán át, a kiömlő hajtóanyag berobbanásáig. Kevés ilyen skálájú kísérlet eredménye ismeretes, ezért a tervezés során nagy szerep jut egyrészt az elméleti megfontolásoknak és numerikus vizsgálatoknak, másrészt különféle tapasztalati képletek alkalmazásának. A számítások validálásához azonban szükség van megbízható mérési eredményekre. Sajnálatos, hogy a szakirodalomban fellelhető eredmények érvényességi köre nincs kellően körülhatárolva, ezért a Budapesti Műszaki és Gazdaságtudományi Egyetem és a Magyar Honvédség Modernizációs Intézet együttműködésében lőtéri tesztek segítségével vizsgáltuk a lövedék sebességének és a beton minőségének a hatását beton céltárgyak károsodására.
Kerékpáros csapatok az Osztrák–Magyar Monarchia közös alakulatainak kötelékében
Authors: Sőregi Zoltán
Published: June 2022

Az Osztrák–Magyar Monarchia haderejében a kerékpáros csapatok 1882-től voltak jelen, fokozatosan érve el a kötelékben történő alkalmazhatóság szintjét. Századszinten 1911-ben szervezték meg őket a vadászzászlóaljak kötelékében azzal a tervvel, hogy az egységeket a gyors előrenyomulás során vetik be. A tervek szerint célirányosan alkalmazott kerékpáros századok bevetését a háború alakulásához kellett szabni, így ezek a csapatok a rendkívül nehéz terepviszonyokkal rendelkező olasz harctéren harcolták végig a világháborút.
Determination of antioxidant activity and phenolic compounds in different Mexican craft beers
Authors: González Mendoza Daniel , Tzintzun-Camacho Olivia , Mendez-Trujillo Vianey
Published: June 2022

The objective of the present study was to evaluate and compare the phenolic content (total phenols and flavonoids) and the antioxidant capacity of seventeen craft beers produced in Mexico. The results showed a considerable amount of content of total phenols and flavonoids in the styles Coffee Stout Imperial (362 mg GAE/L and 75 mg QE/L) and Stout Ale (299 mg GAE/L and 40.92 mg QE/L), followed by American Brown Ale (271 mg GAE/L and 27.35 mg QE/L), Brown Ale (211 mg GAE/L and 24.20 mg QE/L), and Dark (328 mg GAE/L and 20.94 mg QE/L). In contrast, the American Wheat Ale (65 mg GAE/L and 2.91 mg QE/L), Lager (102 mg GAE/L and 3.56 mg QE/L), and IPA (103.73 mg GAE/L and 3.75 mg QE/L) showed the lowest content of phenols and flavonoids. The antioxidant capacity is detected in all the beers evaluated, mainly in the Coffee Stout Imperial style beer (80%). In this study, different contents of total carbohydrates were observed according to the type of beer, with Coffee Stout Imperial, American Brown Ale, and Brown being the ones that presented the highest content of carbohydrates (24.25, 15.55, and 15.36 g/L, respectively) followed by the type of Pilsner beer. (13.60g/L). Finally, our study showed that the different styles of beers in Mexico presented different contents of polyphenols (phenols and flavonoids), antioxidant capacity, and carbohydrates. However, the Coffee Stout Imperial style beer showed the highest values ​​of the aforementioned parameters. Future studies should be carried out in the evaluation of the biological activity of the different styles of beers on nutritional parameters in the Mexican population.
A 3,000-yr high-resolution reconstruction of forest disturbances in the Cascade Range, Oregon
Authors:   , Watkins Matthew H.
Published: June 2022

Current outbreaks of Dendroctonus bark beetles across the Pacific Northwest are widely regarded as unprecedented with the increased scale and severity of such outbreaks attributed to anthropogenic warming over the 19th and 20th Centuries. Despite such severe outbreaks observed in recent years, very little is known of historic occurrence of these forest pests. Much of the historic reconstructions of forest disturbance in this region are focussed on the Coastal Mountain Range and Willamette Valley, Oregon, and southwestern Washington. This thesis aimed to address important knowledge gaps associated with forest disturbances by producing a high-resolution fire history reconstruction at three sites within the crest of the Cascade Range, Oregon, along with the development of sedaDNA-methodologies for the direct detection of several key forest pests, including the mountain pine beetle (Dendroctonus ponderosae), the Douglas-fir beetle (Dendroctonus pseudotsugae), and the genus of budworm Choristoneura. The fossil charcoal records identified a period of heighted fire activity pre-700 yr BP, attributed to the Medieval Climate Anomaly, followed by a period of suppressed fire activity between 700 yr BP and present, associated with the effects of the Little Ice Age. DNA-based methods revealed the presence of D. pseudotsugae and Choristoneura occidentalis within lake sediments during periods of known outbreaks as inferred by aerial detection survey data. These results increase our understanding of fire dynamics within the Pacific Northwest and further emphasise the potential role of DNA-based methods in the field of palaeoecology.
Chemically programming redox-active nanovaccines and theranostic nanoparticles for combination cancer immunotherapy
Authors:   , Bilbao Asensio Marc
Published: June 2022

Cancer immunotherapies have established their relevance in the clinic in recent years. These therapies have increased patient survival rates with few toxic side-effects. However, they still suffer from low patient response rates. With the progression of the disease, tumors become increasingly heterogeneous, which poses limits to the development of universal, “off the shelf” cures. Nanotechnology allows insight over novel therapy strategies to better suit the specificities and uniqueness of each patient’s cancer. In this work, a chemistry and material science approach enabled the development of iron oxide nanoparticle-filled nanovaccines (IONVs) to exploit the biochemical features of the tumor microenvironment for cancer immunotherapy and combination therapy. A systematic nanoparticle engineering rationale is stablished to “programme” IONVs for: (i) cancer cell sensitization to oxidative damage and ferroptosis; (ii) pH-catalysed disassembly and drug release; (iii) macrophage repolarization towards tumor-suppressing phenotypes; (iv) optimization of tumor-antigen processing and cross-presentation; (v) optimization of platinum-based prodrug delivery for chemotherapy and chemoimmunotherapy; (vi) integration of directing ligands for active targeted drug delivery; (vii) monitorable therapy biodistribution; and (viii) synergy with state-of-the-art antibody-based immunotherapies.Systematic IONV engineering provided control over distinguishable device properties such as size, charge, stability, chemical reactivity, bioactive molecule loading and particle surface functionalization. The device integrated iron catalysis for cancer-cell specific activation of ferroptosis, immunostimulatory redox stress and site-specific disassembly for targeted drug release. IONVs were visualized to accumulate into the tumor tissue as well as immune cell-rich tissues such as spleen and lymph nodes. Their high biocompatibility enabled immune cell activation for multipronged antitumor action. The results show how IONVs can unite and improve concurrently effective anticancer strategies, resulting in complete elimination of established aggressive tumors and acquisition of protective long-term immunity. Overall, this work demonstrates the suitability of programmable IONVs to act as generalizable platforms for cancer immunotherapy enhancement.
Study of the human brain potentials variability effects in P300 based brain–computer interface
Authors: Ganin IP , Kaplan AYa
Published: June 2022

The P300-based brain–computer interfaces (P300 BCI) allow the user to select commands by focusing on them. The technology involves electroencephalographic (EEG) representation of the event-related potentials (ERP) that arise in response to repetitive external stimulation. Conventional procedures for ERP extraction and analysis imply that identical stimuli produce identical responses. However, the floating onset of EEG reactions is a known neurophysiological phenomenon. A failure to account for this source of variability may considerably skew the output and undermine the overall accuracy of the interface. This study aimed to analyze the effects of ERP variability in EEG reactions in order to minimize their influence on P300 BCI command classification accuracy. Healthy subjects aged 21–22 years (n = 12) were presented with a modified P300 BCI matrix moving with specified parameters within the working area. The results strongly support the inherent significance of ERP variability in P300 BCI environments. The correction of peak latencies in single EEG reactions provided a 1.5–2 fold increase in ERP amplitude with a concomitant enhancement of classification accuracy (from 71–78% to 92–95%, p < 0.0005). These effects were particularly pronounced in attention-demanding tasks with the highest matrix velocities. The findings underscore the importance of accounting for ERP variability in advanced BCI systems.
Izuchenie effektov variativnosti potencialov mozga cheloveka v interfejse mozg–komp'yuter na volne P300
Authors: Ганин И. П. , Каплан А. Я.
Published: June 2022

Tekhnologiya interfejs mozg–komp'yuter na volne P300 (IMK-P300) pozvolyaet pol'zovatelyu vybirat' komandy pri fokusirovanii na nih vnimaniya. Eto vozmozhno za schet registracii v EEG potencialov, svyazannyh s sobytiyami (PSS), voznikayushchih v otvet na mnogokratno povtoryaemye vneshnie stimuly. Tradicionno pri vydelenii i analize PSS polagayut, chto reakcii na otdel'nye stimuly identichny, hotya v nejrofiziologii izvesten fenomen variativnosti vo vremeni vozniknoveniya takih reakcij. Poetomu est' predposylki schitat', chto neprinyatie vo vnimanie variativnosti PSS v ryade sluchaev mozhet snizhat' nablyudaemye v eksperimente effekty, a takzhe tochnost' raboty IMK. Cel'yu raboty bylo izuchit' effekty variativnosti EEG-reakcij vnimaniya pol'zovatelya k stimul'nym komandam v IMK-P300 i vyyavit' vozmozhnosti ucheta etih effektov pri klassifikacii komand v interfejse. Zdorovym ispytuemym 21–22 let (n = 12) neobhodimo bylo reagirovat' na celevye stimuly v modificirovannoj nami stimul'noj matrice IMK-P300, kotoraya mogla dvigat'sya s razlichnymi parametrami v predelah rabochego polya. V issledovanii pokazano, chto effekt variativnosti PSS prisutstvuet v tekhnologii IMK-P300, a ispol'zovannyj metod korrekcii latentnosti pikov v edinichnyh reakciyah privel k uvelicheniyu amplitudy komponentov PSS v 1,5–2 raza, a takzhe povysheniyu tochnosti klassifikacii s 71–78% do 92–95% (p < 0,0005). Variativnost' i povyshenie klassifikacii posle korrekcii latentnosti byli vyshe v bolee trebovatel'nom po resursam vnimaniya rezhime s naibol'shej skorost'yu dvizheniya stimul'noj matricy. V celom rezul'taty pokazyvayut vazhnost' ucheta variativnosti komponentov PSS v IMK-P300 dlya sozdaniya bolee effektivnyh sistem nejroupravleniya.
STRUKTUR DAN FUNGSI GORDANG LIMA DALAM KEBUDAYAAN MASAYARAKAT MANDAILING DI PAKANTAN KABUPATEN MANDAILING NATAL: KONTINUITAS DAN PERUBAHAN
Authors: Lubis Mahda Reni , Tarigan Kumalo , Suroso Panji
Published: June 2022

Tujuan penelitian ini adalah untuk mengetahui struktur, fungsi dan kontiunitas pada kesenian Gordang Lima di Pakantan. Penelitian ini mengkaji struktur,  dan melihat kontiunitas dan perubahan Gordang Lima. Teori yang dipakai untuk mengupas permasalahan dalam penelitian ini adalah teori struktur bentuk musik, fungsi musik, kontinuitas dan perubahan. Hasil dari penelitian ini adalah struktur bentuk musik pada Gordang Lima versi baru dan versi lama, sarune gordang lima versi baru penggunaan nada dasar yang digunakan adalah D = do mengikuti nada dasar mayor melodi sarune.  Sedangkan nada dasar sarune versi lama ada pada As = do. Kedua, penggunaan gordang lima pada masyarakat Mandailing memiliki beberapa fungsi  selain dari ritual memaggil roh, yaitu antara lain:  Kedua kontinuitas dan perubahan yang terjadi dalam ritual paturun sibaso  pada masyarakat Mandailing dalam bentuk musik, instrumen, dan pertunjukkan akan berlangsung sampai masa yang tidak diketahui melihat sejauh mana masyarakat menilai  bahwa ritual ini penting atau tidak pentingnya dilakukan. Hal-hal yang mengalami keberlanjutan sampai sakarang adalah alat musik yang dipakai dan bentuk ritem pada gordang jangat dan patolu.
“The Question Game”: Una experiencia de aprendizaje a través del juego
Authors: Behncke Ragnar
Published: June 2022

El siguiente trabajo se basa en una exploración que une la antropología biológica con la educación. El diseño de esta experiencia educativa se basa en la “biología cultural” de Humberto Maturana. La perspectiva panorámica de “La evolución del aprendizaje” nos brindó una nueva visión sobre la importancia de la docencia como herramienta para los desafíos colaborativos. Nos dimos cuenta de que el principal escollo de la “educación alternativa” son los exámenes finales que pide el Ministerio de Educación de Chile a fin de año. Para preparar a nuestros alumnos con la Currícula Nacional, todas las ideas de juego y creatividad se subordinaron a este objetivo. Nuestra propuesta es entender “los exámenes finales” como un desafío colectivo de toda la escuela, incluidos los alumnos, y utilizar todas las estrategias de “aprender a través del juego”, donde los niños mayores puedan enseñar y facilitar el aprendizaje a los más pequeños. En base a esto, diseñamos “The Question Game”, un juego de mesa en el que participan varios equipos de 4 niños de diferentes edades cada uno. Necesitan tirar los dados y encontrar la pregunta que muestran los dados. Los profesores dan las preguntas que recopilamos directamente del formato de “exámenes finales”. Ellos toman la pregunta que hay que resolver en grupo, luego, si la respuesta es correcta, le damos una pegatina al grupo y continúan hasta que resuelven todas las preguntas de esa semana. Luego, tenemos un momento para compartir la experiencia con los otros equipos y promover el concepto de que la escuela en su conjunto puede resolver todos los desafíos. Por ejemplo, damos incentivos para toda la escuela como un día en la playa o en el bosque. Nuestro diseño educativo se basa en transformar la lógica de los “exámenes” “anuales” “individuales” y transformarla en una actividad “lúdica” “colectiva” del “día a día”. Incorporamos este concepto utilizando los principios de la acción de aprender con el cuerpo. Luego, diseñamos el espacio para que los niños se muevan continuamente de su escritorio al lugar de los maestros, interactuando con otros estudiantes. El costo económico de implementar este juego es muy accesible y fácil de implementar (los principales insumos son papel, lápices y pegatinas). Estas ideas y diseño educativo están profundamente arraigados en la Escuela de Cognición de Santiago. Impulsamos lo que los niños aprenden con la interacción social con sus compañeros y también moviendo su cuerpo con alta frecuencia. Finalmente, utilizar la “enseñanza” como una herramienta es fundamental, porque es una aplicación de que el conocimiento cognitivo es una coordinación social, y promover que los niños se enseñen entre sí es una forma de darle una relevancia práctica a la información en sus vidas, para luego reforzar la motivación de aprender realmente.
Descolonizando a recitação de imagens
Authors: Jain Priyanka
Published: June 2022

A recitação de imagens é a arte de contar histórias em verso, acompanhada por um acessório visual, como uma pintura em pergaminho ou uma tapeçaria. Numerosas práticas de recitação de imagens eram ativas na Índia, mas sofreram durante a colonização pelos britânicos de várias maneiras. A sutil censura vitoriana do tema do erótico expresso nas narrativas religiosas (que formavam a maior parte do gênero de recitação de imagens), o apagamento da oratura como primitiva, o rebaixamento das práticas de recitação de imagens como arte popular e a divisão entre imagens (objeto e adereços que podem ser exibidos em museus) e recitação (aspectos performativos que não poderiam ser facilmente museificados), enquanto enchia museus europeus com artefatos coloniais, infligiu enormes danos às tradições vivas de recitação de imagens na Índia. Minha pesquisa, conduzida pela prática, busca descolonizar a recitação de imagens para desfazer estes danos. Seguindo o apelo de Walter Mignolo para desvincular-se da hegemonia ocidental, procuro destacar (em vez de noções europeias de beleza e estética) teorias indianas clássicas de afeto (de cerca de 300 d.C.), que podem produzir prazer estético no espectador. Assim, usando a teoria Rasa indiana clássica, bem como a subversão, eu crio narrativas contemporâneas para recitação de imagens usando fatos empíricos de pesquisas científicas (Neurociência, Microbiologia, Fitoquímica e Meteorologia) que são auxiliadas por adereços visuais feitos por amalgamação da estética da pintura em miniatura indiana medieval também como ilustração médica contemporânea. Uma pesquisa conduzida pela prática é o único método para resgatar a prática da recitação de imagens, assim como a prática contemporânea das neo-miniaturas resgatou o gênero das pinturas em miniatura da classificação do kitsch oriental. Ao investir em temas eróticos e oratura, bem como reunir imagem e recitação, espero remover os efeitos adversos da colonização de alguns gêneros de artes indianas. Concretamente, minha prática visa contemporizar a poesia sânscrita erótica clássica, que existe desde 1.000 a.C., compondo poesia erótica que incorpora pesquisa científica e criando composições de imagem e texto, como antes eram encontradas nas miniaturas indianas medievais. A segunda abordagem visa reviver a recitação de imagens usando um arquétipo indiano clássico de uma heroína que sai para encontrar seu amante enfrentando graves perigos e contemporizando-o com a leitura de neurociências. Por meio da prática, descubro minhas memórias corporais que vêm à tona durante a performance; o papel da respiração na voz; como a imagem, o texto, a voz e a performance influenciam uns aos outros iterativamente; e como o efeito é transferido através da performance para o espectador. Por meio da prática, estabeleço um campo mais amplo para os recém-chegados com maior vigor e validade do que, simplesmente, fazer eco a um apelo teórico à descolonização. A uma apresentação da recitação da imagem, será incorporado um vídeo de dez minutos.