bluuebunny/crossref_metadata_2025 huggingface dataset:
The effectiveness of regular medical check-up for ovarian cancer patients
Authors: Maystrenko Dmitry N. , Manikhas Alexey G. , Chernobrovkina Alla E. , Tsivyan Boris L. , Gladyshev Dmitry V.
Published: September 2022

Background. With the widespread prevalence of oncogynecological diseases, measures for their early detection and timely treatment, including the systematic implementation of all necessary medical and diagnostic measures within the framework of regular medical check-up, become more important.
Aim. Evaluation of the effectiveness of regular medical check-up of patients with ovarian cancer.
Material and methods. Information was collected by copying data from the primary medical documentation of patients with ovarian cancer who were under regular medical check-up in 2020 in all 4 outpatient cancer care centers in St. Petersburg (392 observation units, complete study). The average age of the patients was 59.73.8 years. The data were statistically processed, extensive coefficients and average values with standard deviation () were calculated. The initial data had a normal distribution. The effectiveness of regular medical check-up and the achievement of its completeness was assessed by comparing the actual volumes of medical care provided to patients as part of regular medical check-up with the volumes of medical care established by the Standard of Medical Care for Adults with Ovarian cancer, Fallopian Tube Cancer and primary peritoneal cancer, approved by Order of the Ministry of Health of the Russian Federation dated April 13, 2021, as well as by assessing the compliance of the actual terms of medical care with the terms established by the program of state guarantees.
Results. Non-compliance with the timing of the regular medical check-up start from the moment of establishing diagnosis was revealed, as well as limited compliance with the requirements of the industry standard for the frequency and multiplicity of therapeutic and diagnostic procedures: the three-time visit to the oncologist established by the standard was performed only in 45.5%, the determination of the level of the CA125 adenogenic cancer antigen in blood in 68.8%, ultrasound examination of the abdominal organs in 36.6%, of the true pelvis in 82.2%, magnetic resonance imaging of the true pelvis in 36.6% of cases.
Conclusion. Evaluation of compliance with the completeness of regular medical check-up of patients with ovarian cancer showed a discrepancy between the volume of its performance to the industry standard and other regulatory documents in the field of healthcare, which indicates the failure to achieve its effectiveness and the unsatisfactory quality of medical care for patients in this group.
The experience of critical burn injury treatment in pediatric practice
Authors: Gostev Vitaly N. , Bogdanov Sergei B. , Harina Julia N. , Arefyev Igor Yu.
Published: September 2022

Patients with severe burn injuries require specialized medical care. For many decades, burn injury in children remains an important issue both in medical and social-economic aspects. It is explained by the high frequency of this pathology, prevalence among all age groups of the population, severe clinical course accompanied by the multiple organ failure development. About 400 thousand burns per year occur in Russia, 3540% of them affect children. A burn injury often leads to fatal outcome, disability and reduce of the quality of life. Wound infection associated with the burn injury in children remains a topical problem of modern combustiology. The authors present the clinical case of successful treatment of Patient M., born in 2005. The patient was transferred from the city M. to the burn center of University Clinic of the Privolzhsky Research Medical University in Nizhny Novgorod on the third day after getting the injury. During the hospitalization period in the burn center, the patient underwent complex treatment: infusion-transfusion therapy under the hemodynamic and laboratory indicators control, antibacterial and anticoagulant therapy, nutritional support by a combined method, symptomatic treatment, active surgical tactics (necrectomy by bordering incisions using modern wound hydrocolloid coatings, autologous skin grafting). In skin grafting operations, a high perforation coefficient of split grafts was used (1:6, 1:3). The success of treatment was determined by the creation of an optimal wound environment for the autografts engraftment, the absence of regression, which made it possible to restore the skin integrity in a short time, and to avoid complications of the burn disease course. Thus, the early transfer of a child with a severe injury into a specialized burn center, intensive therapy, active surgical tactics, the use of modern wound coatings in the treatment of a patient with a critical area of deep burn injury made it possible to successfully restore the skin in a short time of hospitalization.
Differentiated approach to the surgical tactics choice in the treatment of patients with bite wounds
Authors: Izmailov Sergey G. , Leontiev Andrey E. , Izmailov Alexander G. , Lukoyanychev Egor E. , Rotkov Andrey I. , Kuranov Anatoly A. , Koloshein Nikita A. , Mezinov Andrey V. , Simonov Anton  S. , Samarin Evgeny V.
Published: September 2022

Background. Wounds inflicted by the teeth of animals and humans take a special place and have a number of characteristic features. There is still no generally accepted surgical tactics for the bite wounds treatment, and the issues of choosing the timing of wound closure, depending on their localization, remain unresolved.
Aim. To analyze the clinical experience of bite wounds surgical treatment by applying primary and secondary sutures.
Material and methods. From 2008 to 2018 409 patients with bite wounds of various localizations (289 female and 120 male) aged 16 to 84 years were under our supervision. The average age of the victims was 52.510.17 years. All patients were prescribed combined therapy, which was based on an urgent surgical care, since we attach a decisive role in the prevention and local treatment of wound infection to full primary or secondary surgical treatment. The analysis of the obtained data was performed using the statistical calculations in R 3.6.3 (R Foundation for Statistical Computing). To compare the average treatment time for primary and secondary sutures nonparametric MannWhitney test was used.
Results. Analysis of the obtained clinical data showed that the largest number of bite wounds were dog bites (95%), which occured most often in spring (38%) and summer (38.1%), and, as a rule, at home (68%), these results were comparable with statistical data from other sources. The average duration of patients treatment with a primary suture was 13.2 days, and with a secondary suture 19.3 days. The authors proposed a differentiated approach to the choice of surgical tactics in the treatment of patients with bite wounds, depending on the timing of their admission to the hospital and the local status of the wound defect.
Conclusion. The primary or primary delayed blind suturing should be used in the early stages (not later than in 12 hours after getting a bite), and secondary sutures are shown in late stages (more than 12 hours).
Süt Sığır İşletmelerinde Sığır ve Buzağı Yetiştirme Uygulamaları: Erzurum İli İspir İlçesi Örneği
Authors: KOÇYİĞİT Rıdvan
Published: September 2022

Bu çalışmada, Erzurum ili İspir ilçesinde faaliyet gösteren işletmelerde sığır ve buzağı yetiştirme uygulamalarını ortaya koymak amacıyla 394 işletme sahibiyle yüz yüze anket yapılmıştır. Veriler Windows IBM SPSS (SPSS, 20.0.) istatistik programında frekans analizine tabi tutularak oransal değerler elde edilmiştir. Yetiştiricilerin ineklerin kızgınlığa geldiğini böğürme davranışından anladıklarını (% 75.6) ve % 66.5’inin ineklerinin doğumdan iki ay sonraki kızgınlıkta tohumlandığını bildirmişlerdir. İşletmelerin çoğunluğunun (% 72.1) düvelerini ilk olarak 24 aylık yaşta, % 26.6’sının ise 18 aylık yaşta tohumladıkları saptanmıştır. İşletmelerin hayvanlarını iki ay kala kuruya çıkardığı (% 64.2) belirlenmiştir. Yetiştiricilerin % 72.1’inin gebe ineklere septisemi aşısı yaptırdığı tespit edilmiştir. İspir İlçesi'ndeki yetiştiricilerin yeterli veterinerlik sağlık hizmeti almadığı saptanmıştır. İşletmelerin % 96.2’si buzağılara septisemi aşısı yaptırdığı ve yetiştiricilerin tamamının doğumdan sonra buzağılara göbek bakımı uyguladığı belirlenmiştir. İşletmelerin % 99.3’ünün buzağılara ağız sütü verdiği ve bunu annesinden emerek (% 75.4) almasına müsaade ettiği tespit edilmiştir. İşletmelerin % 81.7’sinin buzağıları 4-6 aylık yaşta sütten kestikleri belirlenmiştir. Sonuç olarak Erzurum ili İspir İlçesinde bulunan sığırcılık işletmelerinde sığır yetiştirme konusunda bazı hatalı yöntemler uygulandığı, hayvan sağlığı ve veteriner sağlık hizmeti alma konularında önemli derecede eksikliklerin olduğu tespit edilmiştir. İspir ilçesinde sığırcılığın kalkınması için ilgili kurum ve kuruluşlarla iş birliği yapılarak planlı çiftçi eğitim faaliyetlerinin yürütülmesi önerilmektedir.
Türk Bankacılık Sisteminde Riskliliğin Temel Belirleyicileri: Gelir Çeşitlendirmesi Önemli Bir Etken Mi?
Authors: ALKAN Ufuk , ŞENGÜL Aykut
Published: September 2022

Bu çalışma, Ocak 2012 ile Aralık 2021 dönemleri arasında Türkiye’de faaliyet gösteren 19 bankanın gelir çeşitlendirmesi yöntemi ile maruz kaldıkları riskler arasındaki ilişkiyi ortaya koymayı amaçlamaktadır. Bu kapsamda banka riskini ölçmek için kullanılan Z-skor değişkenini etkileyen bankaya özgü faktörler ile makroekonomik faktörler panel regresyon analiziyle sınanmıştır. Yıllık veriler, TUİK, TCMB Elektronik Veri Dağıtım Sistemi ve TBB Veri Yönetim Sistemi’nden elde edilerek çalışma tamamlanmıştır. Söz konusu analiz sonucuna göre bankaların gelir çeşitlendirmesinin riskliliklerini azaltmaya olumlu katkı sağladığı anlaşılmıştır. Daha açık bir ifade ile faiz dışı gelirin artmasının bankaların riskliliklerinin göstergesi Z-skoru arttırabileceği (riskin düşmesi) yönünde genel beklentiyi doğrulayan bir sonuç elde edilmiştir. Fakat mevduat türüne göre değişen banka grupları için her zaman anlamlı olmadığı sonucu da ortaya konulmuştur.
Alternative Forms of Laboratory Teaching during the Lockdown Period Caused by the COVID-19 Pandemic
Authors:   the Department of Technical Subject, Faculty of Education, University Hradec Králové, Rokitanského 63, Hradec Králové 500 03, Czech, Major Stepan , Hubálovská Marie , Loskot Roman
Published: September 2022

This article deals with problematics of laboratory learning in the state of total lockdown of educational institutions which was caused by COVID-19 pandemic. Schools in the Czech Republic have been operating in a special regime for more than a year, when most students and pupils cannot directly participate in school teaching, which results in significant changes in the way teaching is organized. There is a significant application of various forms of e-learning and schools use the concept of blended learning, however, practical teaching in laboratories and workshops was particularly hard hit. When replacing student experimental work in laboratories, teaching with the help of virtual laboratories is the strongest. Due to the general irreplaceability of real physical experience of pupils, various combined forms of teaching are used, where only a part of pupils work in the school, so as to minimize the risk of spreading the infection, but these pupils take turns in laboratories. Furthermore, some teachers try to design students' home experiments, in the implementation of which the principles of design-based learning and project-based learning are strongly applied. In this article, substitute teaching of laboratories in subjects such as physics, chemistry or electrical engineering in schools is mapped and evaluated, special emphasis is placed on high schools with curriculum focused towards technics and engineering. It is in these schools that the approach to teaching known as design-based learning is very well applied and the students of some selected schools were able to work on home experiments. It was this form of substitute teaching that proved to be the most effective.
Learning Styles Integration in ICT Literacy Module (mLICT-OA) Development for Orang Asli Students
Authors:   the School of Technology at Asia Pacific University of Technology and Innovation (APU), Malaysia, Kamsin Intan Farahana , Salleh Nor Syazwani Mat , Zainal Nur Khairunnisha , Hassan Noor Hafizah
Published: September 2022

The Orang Asli communities are an integral part of the sociocultural and economic life in Malaysia’s society. Orang Asli students have different learning styles that are considered limited and are less skilled in the field of Information Communication Technology (ICT). These two are factors that hinder the advancement of education among them, thus resulting to them dropping out in higher education. Therefore, this conducted study aims to explore whether learning styles are an important aspect in the development of Orang Asli ICT literacy module (mLICT-OA). This is crucial to ensure students are able to engage in the teaching and learning process, and at the same time develop a meaningful learning environment. Quantitative research was conducted in Malaysia, which involved ninety-two (92) Orang Asli students. Data were analysed using the SmartPLS 3.0 software. Research findings show that learning styles are an important aspect that should be integrated into the ICT literacy module development for Orang Asli students. Therefore, this finding contributes by providing a research direction for improving Orang Asli students' capability in learning ICT by integrating their learning styles in mLICT-OA development.
A Gamified Educational Learning Module for Core Subjects in an Elementary Level
Authors:   Mapua University, Philippines, Blancaflor Eric B. , Camaongay Kim David G. , Chua James Adrian S. , Echanes Genesis A.
Published: September 2022

Presently, many students are unmotivated and lack interest in studying that they would prefer playing games or watching movies. It would be beneficial for the students if they were playing while learning at the same time. As the team considered the current pandemic, COVID19, can also be a case to be considered on hindering a lot of students to study in their own respective schools. The team decided to create an educational game implementing a different learning process for the students. The game is not only developed to help the students on learning but also engages them and tests their cognitive abilities on solving different puzzles. Taking the advantage of being able to be exposed in a gamified learning at their own home, it can assist the teachers in refreshing or enhancing the students' knowledge.
A study of efficacy and safety of newer chemical peels for acne vulgaris grade 1 to grade 3
Authors: Padhiar Bela , Karia Umesh , Parghi Mehul , Shah Bela
Published: September 2022

Acne is a common and complex and multifactorial skin disease that affects individuals of all ages. It commonly presents as Seborrhoea and formation of comedones, papules and pustules. Aim of our study is to evaluate various new chemical peeling agent for search of treatment which stand out with maximum efficacy and least side effect.

A total 120 patients were included in our study. Grading of acne was done according to Pillsbury classification and divided into five Treatment groups: Group A: Azelaic peel (20% Azelaic acid peel) Group B: Black peel (8% Acetic acid peel) Group C: Kojic acid peel (12% kojic acid peel) Group D: Lactic acid peel (90% lactic acid peel) Group E: Mandelic acid peel (35% mandelic acid peel). Patients in each arm were subjected to respective chemical peels at an interval of 15 days for a total of 6 sessions. Last visit was done at 12th week. Evaluation done by dermatological examination for acne including counting the number of comedones, papules and pustules.

Patients with improvement at the end of 12 weeks the overall reduction rate was 60.4%, 72.4%, 24.1%, 35.2% and 50.1% with Azelaic peel, Black peel, Kojic acid peel, Lactic acid peel and Mandelic acid peel respectively.

Our study thus concluded that the efficacy of Black peel is highest in the treatment of acne vulgaris grade I to III in Indian patients. The resolution was also observed good with Azelaic acid and Mandelic acid while response was not up to the mark by Lactic acid and Kojic acid peel. However, immediate erythema and burning sensations were more common side effects with black peel. Though the side effects observed with these peels reduced by itself, application of emollients, mild steroids and sun screeners hastened the recovery.
Dermatosis among overweight and obese children attending a tertiary care centre - A prospective study
Authors: Shams Sana , Nair Rakhee V , Pillai Rathish T , Kallan Febin
Published: September 2022

Obesity is a chronic disease that is increasing worldwide, both amongst adults and children. As per family health survey conducted by Ministry of Health and Family Welfare in 2022, 38% women and 36.5% of men in Kerala are overweight or obese. It can affect almost all organs, including the skin. Obesity among children is increasing in India with an overall prevalence of 8-10% (15-20% in urban population). The cutaneous manifestations can be associated both with the age of onset and duration of obesity. However, studies showing association with class of obesity and cutaneous manifestations are lacking and hence we undertook this study, to know the association in children attending a tertiary care center.

This was a prospective study carried out over a period of 6 months from May 2021 to November 2021 in our centre. A total of 133 children, aged 6–16 years with BMI >25 kg/ m2 were included in the study. After taking informed consent from the parents/attendants; demographic details, height and weight were recorded and systemic examination was done. A detailed cutaneous examination was performed, and all the findings were noted in a predesigned proforma. Relevant investigations were carried out, wherever deemed necessary.

A total of 133 children (male/female 63.9%/ 36.1%) were included in the study with a mean age of 10.97 ± 2.72. The mean BMI of the patients was 28.43 ± 3 kg/ m. Majority of the patients (78.9%) were overweight; 17.3% had Class I obesity, 3% had Class II obesity and 0.8% had Class III obesity. The most common cutaneous changes observed in our patient group were acanthosis (62.4%), seborrheic dermatitis (47.4%), sebomelanosis (37.6%), frictional dermatitis (29.3%), striae distensae (24.8%), tinea cruris (24.8%), SD-seborrheic dermatitis(18.1%), plantar hyperkeratosis (10.5%) and achrochordon (3.8%). The incidence of acanthosis nigricans, striae, sebomelanosis, frictional dermatitis, seborrheic dermatitis, verruca, keratosis pilaris and acne were higher in children with Class II obesity while acanthosis, striae, acne, and hirsutism was more common in Class III obesity.

As the prevalence of obesity is increasing among the children, the paediatricians and dermatologists should be aware of its various manifestations including the cutaneous ones to ensure their early diagnoses and treatment, which are as common as in adults, and can be a source of great physical or psychological morbidity.
Two cases of toxic epidermal necrolysis successfully treated with cyclosporine in covid pandemic
Authors: Vora Rita , Pillai Devna , Patel Jalpa , Hirma Shubhangi
Published: September 2022

Toxic epidermal necrolysis (TEN) is a rare, life-threatening drug-induced skin disease with a mortality rate of approximately 30%. The clinical hallmark of TEN is a marked skin detachment caused by extensive keratinocyte cell death associated with mucosal involvement. We have two cases of TEN presented within 3 months and successfully treated with cyclosporine.
Porphyria cutanea tarda: A case report
Authors: Shams Sana , Pillai Rathish T , Iqbal Mohammed , Rayammarakar Amreen
Published: September 2022

The porphyria's are a rare group of metabolic disorders produced by acquired or hereditary deficiency of the enzyme UROD, fifth enzyme in the chain of production of the heme group, which results in an accumulation of photosensitive by products, such as uroporphyrinogen, which leads to the fragility and blistering of sun-exposed skin. Porphyria can manifest with neurovisceral and/or cutaneous symptoms, depending on the defective enzyme. Prevalence of porphyria's varies, from 1 in 500 to 1 in 50,000 people worldwide. PCT, the most common.

A 59-year-old Indian man presented with multiple non healing ulcers on dorsum of right hand and scalp associated with photosensitivity and reddish discoloration of urine, and surrounding depigmentation with scarring. He was diagnosed as having PCT after clinical investigation and was treated symptomatically.

PCT is the most common of the seven porphyrin metabolism disorders. The misdiagnosis and mismanagement of this disease can have a significant impact on a patient's life and does management of PCT in our case is focused on the signs and symptoms and findings.
Socio-demographic characteristics of poisoning cases admitted in a tertiary care level hospital of Amravati district of Maharashtra, India
Authors: Wasnik Vinod , Jawarkar Ajay , Rathod Himani , Chavan Manisha
Published: September 2022

Poisoning is an important health hazard and one of the leading causes of mortality and morbidity worldwide The incidence of poisoning cases is increasing steadily with each passing year. Burden of poisoning is high but less authentic data is available on it as hospital records, population surveys and data registered by governmental authorities. With this background, present study is conducted to determine various socio –demographic factors responsible for poisoning in patients.

It was an observational study, carried out in District Civil Hospital. All patients admitted with history of poisoning or suspected poisoning in District Civil Hospital who attended in casualty, ICU and ward during study period were included in study. Written informed consent was taken from the cases or relatives. Information was collected from his/her accompanying family members if condition of the case was found to be unfavorable to respond to questions.

Majority of the cases were in the age group of 15-44 years (81.52%), Majority of poisoning cases 60.23% were married. The commonest poison to which cases were exposed was an organophosphorus compound which was seen in 61.36%) cases. The most common cause for consuming poison was found to be domestic 324 (45.70%).

Presentstudy showed that poisoning was commonly seen in the working age group. Males consumed/exposed to poison more as compared to females. Married males were affected more. Most commonly consumed/exposed poison was organophosphorus compounds.
A study to assess the effectiveness of structured teaching programme on attitude regarding breast self-examination among adolescent girls in selected school of Indore M.P.
Authors: Thakur Manjula , Thakur Reena
Published: September 2022

Breast self-examination enables a women or girls to detect changes in her breasts. The examination should be done each month soon after the menstrual period ends as normal physiological changes that they confuse results occur in the premenstrual period. This method of self-examination is useful in the early detection of breast cancer.

This study made use of an evaluative approach with one group pretest and post-test design. The sample for the study sample comprised of 60 adolescent girls. A disproportionate purposive sampling technique was used to select 60 adolescent girls. The tool and STP were validated by 7 experts. Pre testing and reliability of the tool was established prior to pilot study. Pilot study was conducted among ten adolescent girls. this gave basis for the invigilator to conduct the actual study .the actual study was conducted among 60 adolescent girls .following the pretest, STP Was administered and post test was conducted seven days after the administration of STP. The obtained data was analyzed in terms of the objectives and hypothesis using descriptive.

The mean pretest knowledge score was 12.50 ± 3.26, while in the posttest it was 23.20 ± 2.49. The difference was found to be statistically significant (p<0.05), showing a higher mean knowledge score in the posttest. Thus, the intervention was very helpful in improving the mean posttest knowledge score. The mean pretest attitude score was 52.78 ± 8.35, while in the posttest it was 67.78 ± 4.36. The difference was found to be statistically significant (p<0.05), showing a higher mean attitude score in the posttest.

The finding of the present study were analyzed and discussed with the finding of the similar studies confirmed that STP was effective in attitude regarding breast self- examination among adolescent girls.
Brazilian Exchange Rate Forecasting in High Frequency
Authors: Rossi Jose Luiz , Piccioni Carlos , Rossi Marina , Cuajeiro Daniel
Published: September 2022

We investigated the predictability of the Brazilian exchange rate at High Frequency (1, 5 and 15 minutes), using local and global economic variables as predictors. In addition to the Linear Regression method, we use Machine Learning algorithms such as Ridge, Lasso, Elastic Net, Random Forest and Gradient Boosting. When considering contemporary predictors, it is possible to outperform the Random Walk at all frequencies, with local economic variables having greater predictive power than global ones. Machine Learning methods are also capable of reducing the mean squared error. When we consider only lagged predictors, it is possible to beat the Random Walk if we also consider the Brazilian Real futures as an additional predictor, for the frequency of one minute and up to two minutes ahead, confirming the importance of the Brazilian futures market in determining the spot exchange rate.
Real/Dollar Exchange Rate Prediction Combining Machine Learning and Fundamental Models
Authors: Pompeu Gustavo , Rossi José Luiz
Published: September 2022

The study of the predictability of exchange rates has been a very recurring theme on the economics literature for decades, and very often is not possible to beat a random walk prediction, particularly when trying to forecast short time periods. Although there are several studies about exchange rate forecasting in general, predictions of specifically Brazilian real (BRL) to United States dollar (USD) exchange rates are very hard to find in the literature. The objective of this work is to predict the specific BRL to USD exchange rates by applying machine learning models combined with fundamental theories from macroeconomics, such as monetary and Taylor rule models, and compare the results to those of a random walk model by using the root mean squared error (RMSE) and the Diebold-Mariano (DM) test. We show that it is possible to beat the random walk by these metrics.
Integrated Framework for Intrusion Detection Through Adversarial Sampling and Enhanced Deep Correlated Hierarchical Network
Authors: Venkatraman Deepa , Narayanan Radha
Published: September 2022

Intrusion Detection Systems (IDSs) play a critical role in detecting malicious assaults and threats in the network system. This research work proposed a network intrusion detection technique, which combines an Adversarial Sampling and Enhanced Deep Correlated Hierarchical Network for IDS. Initially, the proposed Enhanced Generative Adversarial Networks (EGAN) method is used to raise the minority sample. A balanced dataset can be created in this way, allowing the model to completely learn the properties of minority samples while also drastically minimizing the model training time. Then, create an Enhanced Deep Correlated Hierarchical Network model by using a Bi-Directional Long Short-Term Memory (BiLSTM) to collect temporal characteristics and Cross-correlated Convolution Neural Network (CCNN) to retrieve spatial characteristics. The softmax classifier at the end of BiLSTM is used to classify intrusion data. The traditional NSL-KDD dataset is utilized for the experimentation of the proposed model.
IFAA: An Intelligent Framework Aware Algorithm to Determine the Boundary of Area under Attack in Military Surveillance and Reconnaissance WSN
Authors: Raj Deepak S. , Babu Ramesh H.S.
Published: September 2022

Wireless sensor networks (WSNs) have proven effective in military applications of surveillance and reconnaissance. Sensors capable of detecting pressure, temperature, movement and presence of specific chemicals are deployed in such applications. Traditionally, sensor data is collected and transferred to a centralized high-capacity node or control station. Analysis of data is carried out at such centralized facilities. Information or intelligence gathered from sensor data after analysis is used to generate control and management commands that are relayed back to sensor nodes. The situation is analogous to an actual wartime scenario where soldiers who are on the field are equivalent to the sensors. Soldiers observe and sense the situation and communicate their observations to the decision maker who is stationed in the control tent. On gathering field information, the decision maker analyses the data and arrives at his decision which is again communicated to the soldiers on the field. Soldiers as well as sensors are not placed illogically or randomly but intentionally and strategically. Observations made on the field ultimately affect how the soldiers or sensors continue to function. Intelligence gained on the field ultimately gets used on the field itself. Our attempt is to observe, analyze and apply intelligence on the field itself. This work proposes an intelligent algorithm that is aware of the sensor network topology, analyses sensor data within the network and uses the network framework to arrive at usable intelligence. Locally generated intelligence avoids communication to and from the command/control and adds value to military surveillance and reconnaissance applications of WSN. Intelligent sensor management allows us to use just the necessary number of sensors while saving resources on otherwise redundant expenditure. In the present work we have designed and applied a dynamic boundary computation algorithm to determine the boundary of the area under attack. We have compared the results of simulation experiments incorporating the proposed algorithm against a control experiment without the algorithm.
A Semantic Segmentation Method for Road Environment Images Based on Hybrid Convolutional Auto-Encoder
Authors: Song Xiaona , Liu Haichao , Wang Lijun , Wang Song , Cao Yunyu , Xu Donglai , Zhang Shenfeng
Published: September 2022

Deep convolutional neural networks (CNNs) have presented amazing performance in the task of semantic segmentation. However, the network model is complex, the training time is prolonged, the semantic segmentation accuracy is not high and the real-time performance is not good, so it is difficult to be directly used in the semantic segmentation of road environment images of autonomous vehicles. As one of the three models of deep learning, the auto-encoder (AE) has powerful data learning and feature extracting capabilities from the raw data itself. In this study, the network architecture of auto-encoder and convolutional auto-encoder (CAE) is improved, supervised learning auto-encoder and improved convolutional auto-encoder are proposed, and a hybrid convolutional auto-encoder model is constructed by combining them. It can extract low-dimensional abstract features of road environment images by using convolution layers and pooling layers in front of the network, and then supervised learning auto-encoder are used to enhance and express semantic segmentation features, and finally de-convolution layers and un-pooling layers are used to generate semantic segmentation results. The hybrid convolutional auto-encoder model proposed in this paper not only contains encoding and decoding parts which are used in the common semantic segmentation models, but also adds semantic feature enhancing and representing parts, so that the network which has fewer convolutional and pooling layers can still achieve better semantic segmentation effects. Compared to the semantic segmentation based on convolutional neural networks, the hybrid convolutional auto-encoder has fewer network layers, fewer network parameters, and simpler network training. We evaluated our proposed method on Camvid and Cityscapes, which are standard benchmarks for semantic segmentation, and it proved to have a better semantic segmentation effect and good real-time performance.
Classification of OME with Eardrum Otoendoscopic Images Using Hybrid-Based Deep Models, NCA, and Gaussian Method
Authors: Bingol Harun
Published: September 2022

Otitis media with effusion (OME) is defined as a middle ear disease that occurs with the accumulation of fluid in the posterior part of the eardrum, usually without any symptoms. When OME disease is not treated, some negative consequences arise that deeply affect the education, social and cultural life of the patient. OME disease is a difficult issue to diagnose by specialists. In this article, autoendoscopic images of the eardrum have been classified using deep learning methods to help specialists in the diagnosis of OME. In this study, a hybrid deep model based on artificial intelligence is proposed. In the proposed hybrid model, feature maps were obtained using Efficientnetb0 and Densenet201 architectures from both the original dataset and the improved dataset using the gaussian method. Then, the merging process was applied to these feature maps. Unnecessary features are eliminated by applying NCA dimension reduction to the combined feature map. The most valuable features obtained at the end of the optimization process are classified in different machine learning classifiers. The proposed model reached a very competitive accuracy value of 98.20% in the SVM classifier.
Effects of Different Visual Feedback Types on Perception of Online Wait
Authors: Fang Nianli , Hu Tao , Shi Mengdi , Liu Zhenghong
Published: September 2022

This study aims to understand the effects of visual feedback designs on time perception and user perception in online wait. We manipulated the salience (implicit/explicit) and framing (hedonic/function) of visual feedback, and the music (exist or not). 23 subjects participated in the two experiments. 8 (2*2*2) visual feedbacks were compared directly in pairs to rank how these augmentations of visual feedbacks compare to one another. We also tested the effects of visual designs on waiting perception such as attention, perceived control, and emotion in the online waiting. In addition, we discussed the potential effects of music and immersion for time perception. MANOVA and subsequent ANOVA tests were conducted. The study findings indicate the salience of visual feedback may significantly affect users’ time perception, explicit visual feedback provides users with more perceived control as well as more attention. The hedonic of visual feedback is important to affect users’ waiting perception such as. The hedonic designs provide more perceived entertainment. However, inappropriate embellishment design may have a negative effect on user experience. Music plays a significant role in affecting users’ time perception and deep involvement. Appropriate music accompaniment will make the whole waiting faster and easier.
Cast Shadow Angle Detection in Morphological Aerial Images Using Faster R-CNN
Authors: Reddy Sana Pavan Kumar , Harikiran Jonnadula
Published: September 2022

With the tremendous advancements in digital image processing technology over the last few years, it is now possible to resolve many challenging issues. In light of this, this study proposes that digital image processing can be used to detect shadows in photographs. Since unmanned aerial vehicles and satellite devices have become more common image generating devices. The significant issue in the generated images is of its shadow. Shadows are inevitable in remote sensing photographs, particularly in metropolitan environments, due to the block of high-rise objects and the influence of the sun's altitude. This results in missing information in the shadow zone. The state-of-the-art shadow detection algorithms require manual alignment and predefined specific parameters. Most of those existing algorithms fail to deliver precise results in a variety of lighting and ecological conditions. To overcome these limitations, we propose a framework Multi Layered Linked approach with Tagged Feature Model for Shadow Angle Detection (MLTFM-SAD). The aim of the proposed model is to detect the shadows from aerial photographs and angle of those shadows. The proposed framework is a three-step approach. Initially, the image segmentation is applied on the input images. Second, hybrid Gaussian mixing mode and Otsu's approach is applied on the segmented shadow mask map and corresponding pixel set is generated. As a result, an initial shadow mask map is refined using object spectral attributes and spatial correlations between objects. Finally, the angle at which the shadow appears in the given image is recognised and analysed. The proposed method's performance is compared to that of all current approaches and the results revealed that the proposed model performance levels are superior.
Medical Signal Processing via Digital Filter and Transmission Reception Using Cognitive Radio Technology
Authors: Premkumar M. , Sathiyapriya S. , Arun M. , Sachan Vikash
Published: September 2022

This research paper provides a viable solution for processing noise affected Electrocardiogram (ECG) signal via digital filter and transmission of ECG signal and reception via cognitive radio (CR) technology. Health assessment signals such as ECG signal, Electroencephalogram (EEG) signal, Electromyogram (EMG) signal are vital for diagnosis and rehabilitation of human welfare among which ECG attains prime importance due to its information on heart functioning. However, electrocardiogram signals are prone to addition of noise such as power line noise 50 Hz mainly due to improper shielding which can lead to wrong interpretation, incorrect diagnosis and at times will eventually lead to loss of human life. On combining signal processing into medical applications misconceptions can be eliminated and diagnosis can be done effectively through a designed digital filter. Effect of noise can be cancelled in an ECG signal and by using cognitive radio technology ECG information can be transmitted to a medical physician mobile terminal for remedial measures relating to medical treatment. Simulation results are shown in matrix laboratory (MATLAB) for cancelling noise in an ECG signal having noise using a digital filter which is designed represented by its transfer function. Also, ECG signal is transmitted and received in a CR system where the metric of probability of error is obtained which can be useful for signal processing fraternity.
A Single-Step Hydrolysis-Reduction of Potato Starch to Sorbite in the Presence of Bifunctional Catalyst Ru/Сs3HSiW12O40
Authors: Gromov N. V. , Medvedeva T. B. , Panchenko V. N. , Taran O. P. , Timofeeva M. N. , Parmon V. N.
Published: September 2022

It was shown that sorbite can be obtained from potato starch by its single-step hydrolysis-reduction in the presence of bifunctional catalysts 0.3–3 wt.%Ru/Cs3HSiW12O40 (Ru/Cs-HPA). Most efficient was the catalyst containing 1 wt.%Ru; this is related to the optimal concentration ratio of Broensted and Lewis acid sites on the support surface and a high specific surface area. The reaction kinetics in the presence of 1%Ru/Сs-HPA was studied and the apparent activation energy of the starch hydrolysis-reduction to sorbite (80±8 kJ/mol) was determined. The experimental and literature data were used to propose a kinetic model of the process, which describes quite adequately the hydrolysisreduction of starch. In the presence of the catalyst with the optimal composition (1%Ru/Cs-HPA) at the optimal temperature (150 °С), the yield of sorbite achieved 88 mol.% (99 wt.%) for 3 hours of the reaction.
Líneas generales de delimitación normativa del delito de lavado de activos
Authors: Silva Carrillo Kevin-André
Published: September 2022

En el presente trabajo el autor ha desarrollado brevemente los rasgos fundamentales del delito de lavado de activos vigente en la legislación colombiana. El punto de partida lo constituye su afirmación como deber jurídico-penal que garantiza las libertades económicas y, desde allí, se exponen los argumentos para su consideración de delito de conexión-subsiguiente, delito pluriofensivo. Al final, el análisis realizado lleva a presentar una propuesta de delimitación normativa del delito de lavado de activos.
Del crimen a la personalidad. Abriendo la caja negra de la prueba pericial psicológica
Authors: Domínguez González David J. , Sánchez-Pinilla Mario Domínguez
Published: September 2022

El artículo estudia la constitución del peritaje psiquiátrico como artefacto a la vez científico y jurídico, que funciona en una red de dispositivos compleja, lo cual anuncia una racionalidad punitiva capaz de aunar dos disciplinas tan diversas como el ámbito jurídico y el médico-psiquiátrico. Al poner en relación de causalidad ciertos trastornos patológicos con determinadas conductas delictivas logra conferir a los jueces la posibilidad de refugiarse en una objetividad de la cual se sirven. De manera paralela, permite que los expertos procedentes de las prácticas psiquiátricas, eximidos de la implicación de juzgar, amplíen el alcance político que la ciencia psiquiátrica oculta por más que trate de adherirse a los hechos.
Incongruencias de un sistema rehabilitador: severidad, cifras, limitantes y alternativas
Authors: Punín Tandazo Pablo D.
Published: September 2022

En el presente artículo se hace una aproximación a la situación actual de la realidad carcelaria ecuatoriana, tomando las cifras existentes como base para demostrar que las soluciones planteadas no han tenido efectos positivos. Se analizan y evalúan los efectos de la política punitiva aplicada al delito más perpetrado en Ecuador, el robo, para determinar si existió, o no, incidencia entre lo ejecutado y la reducción de criminalidad respecto a este delito. De igual forma, se expone la necesidad de buscar soluciones distintas al punitivismo puro, utilizando como partida el fracaso de prisión y el análisis de un sistema alternativo de penas y sus efectos en una realidad comparada. En concreto, se toman en cuenta figuras alternativas a la pena privativa de libertad aplicables en la realidad española, como lo son: la suspensión condicional de la pena y el trabajo en beneficio de la comunidad. Se estudia el uso de estas figuras entre España y Ecuador, de manera que se pueden observar las principales diferencias en los márgenes legales de aplicación; y se hace una breve mención a los efectos que ellas han tenido en la realidad del país ibérico.
The Collegiality of Ethical Social Justice Pedagogy for Community Health Disability Services in the Post-COVID-19 Era
Authors: Nwachukwu Toby Precious T , Phaswana Edith D , Mazibuko Nokuthula C
Published: September 2022

The recent deaths of mentally disabled persons at the hands of police, both in the United States and South Africa, during the earlier COVID-19 pandemic and the subsequent other similar issues, call for justice for victims, which are some of the sampled evidence of the precarious position persons with disabilities find themselves in. This article responds as an inquiry from the viewpoint of the collegiality on post-COVID-19 repercussions on community disability services. The researchers peruse evidence of the prioritization of social justice ethical education toward enhancing collegiality in community disability services for the benefit of community health and social work practices in the eventual post- COVID-19 aftermath in Africa. The articles’ reviews, synthesis, and concept-plotting applications utilize a systematic review of literature that rely on secondary data. The article made use of 110 out of 235 articles that were inspected, analyzed, and reckoned to be appropriate and incorporated the views gleaned from scoping searches of JAMA, The Lancet, Scopus, Elsevier, Cochrane, Wiley-online, Pro-Quest, Sabinet, Ebsco-Host, Science-Direct, Sage-Pub, and SAGE-Journals libraries. Thus, this article utilized three of the five main social justice theories for community disability services. The connected issues on collegiality in terms of its management and leadership for ethical, social justice pedagogy angled that prioritizing social justice and ethical education should improve practices of education in Africa. Consequently, we argued that the collegiality in the prioritization of social and ethical education should be addressed and offered a vibrant hypothetical framework regarding the essential ingredients needed to activate and enact collegiality in social justice ethical education for a post-COVID-19 era.
Influence of endothelial nitric oxide syntase gene polymorphism on prognosis in patients after coronary bypass grafting
Authors: Magamadov I. S. , Skorodumova E. A. , Kostenko V. A. , Pivovarova L. P. , Ariskina O. B. , Siverina А. V. , Skorodumova E. G.
Published: September 2022

Background. Development of personalized medicine and study of the genetic basis of cardiovascular diseases are promising areas in modern cardiology.

Objective. To evaluate effect of NOS3 gene polymorphism on the prognosis in patients undergoing coronary artery bypass grafting (CABG).

Design and methods. The study included 60 patients with stable coronary heart disease (CAD) and multivessel coronary disease according to the SYNTAX I score > 23. The first group included 39 patients — carriers of the 786CC and 786TC genotypes, the second — 21 patients with the 786TT genotype of the NOS3 gene. We accessed the severity of the systemic inflammatory response (SIR) in the postoperative period, the dynamics of changes in the ejection fraction (EF) of the left ventricle, as well as clinical data during 12 months after CABG.

Results. The presence of heterozygous and homozygous variants (TC/CC) of the NOS3 gene is associated with a more pronounced and prolonged SIR in the postoperative period. The chances of developing symptoms of acute decompensation of chronic heart failure (CHF) within 12 months after CABG were significantly 4 higher in the group of carriers of TC/CC genotypes.

Conclusions. In patients with CAD and carriage of the 786TC/786CC genotypes of the NOS3 gene undergoing CABG, there is a more pronounced and prolonged SIR in the postoperative period, as well as an increased risk of acute decompensation of CHF within 12 months after CABG.
The relationship between morphometric characteristics of venous drainages of arteriovenous malformations of the brain and types of clinical course
Authors: Mamonov N. A. , Rozhchenko L. V. , Goroschenko S. A. , Samochernykh K. A.
Published: September 2022

Background. Arteriovenous malformations of the brain are a rare vascular pathology. Many studies focus on the features of venous drainage of arteriovenous malformations. The angioarchitectural and hemodynamic features of the venous component of arteriovenous malformations can influence on the patient management.

Objective. To evaluate the relationship between the features of venous drainage of arteriovenous malformations of the brain and the types of clinical course. Design and methods. Survey included 61 adult patients of the neurosurgical department № 3 of the Polenov RNSI with arteriovenous malformations of the brain of supratentorial localization. Demographic and morphometric characteristics, as well as features of venous drainage of arteriovenous malformations, were assessed. Groups of patients were distinguished according to the type of the course of the disease.

Results. The dependence of the hemorrhagic type of course on such factors as drainage exclusively into the deep vein system, as well as the presence of a combination of macrofistula with venous lacunae. The epileptic type was more typical for patients with superficial localization of the arteriovenous malformation. The torpid type of course had no distinctive features.

Conclusion. Drainage exclusively into the deep vein system and the presence of a combination of macrofistula and venous lacunae is characteristic of the hemorrhagic type of course. The epileptic type of course was characterized by superficial localization of the malformation.