bluuebunny/crossref_metadata_2025 huggingface dataset:
MESLEK YÜKSEK OKULU ÇOCUK GELİŞİMİ ÖĞRENCİLERİNİN ÇEVRE OKURYAZARLIKLARI ÜZERİNE BİR İNCELEME
Authors: KURT GÖKÇELİ Füsun , ÖZER Merve
Published: October 2022

Günümüzde küresel ısınma, hızlı kentleşme, hava kirliliği gibi pek çok çevre sorunu ile karşılaşılmaktadır. Özellikle çevre bilincinin çocuklara küçük yaşta kazandırılması düşünüldüğünde; çocukları yetiştirecek ve onlara rol model olacak çocuk gelişimi öğrencilerinin çevre okuryazarı bireyler olmaları gerektiği anlaşılmaktadır. Bu araştırmanın amacı; Erken Çocuklukta Çevre Eğitimi dersini alan Çocuk Gelişimi ön lisans öğrencilerinin çevre okuryazarlık düzeylerinin belirlenmesidir. Araştırmada nitel araştırma yöntemlerinden durum çalışması kullanılmıştır. Araştırmaya Çocuk Gelişimi bölümünde okuyan ve Erken Çocuklukta Çevre Eğitimi dersini mesleki seçmeli olarak alan 8 ön lisans öğrencisi katılmıştır. Veriler araştırmacılar tarafından geliştirilmiş yarı yapılandırılmış görüşme formu, okul öncesi eğitimde çevre eğitimine yönelik hazırlanmış etkinlik planları ve öğrencilerin doğa günlükleri ile toplanmıştır. Öğrencilerin çevre okur yazarlıkları incelendiğinde; bilişsel düzeyde bilgi eksikliklerinin olduğu ancak duyuşsal yönde çevreye olan farkındalıklarının arttığı, davranışsal düzeyde ise çoğunun kendi yaşamlarında bir takım çevre dostu davranışlar sergiledikleri görülmüştür. Bu bulgular, çevre okuryazarı çocuklar yetiştirebilmek için; çocuklar üzerinde büyük etki uyandıran eğitimcilerin yüksek öğrenim programlarına çevre eğitimine yönelik çeşitli derslerin eklenmesi ve bu derslerin daha çok uygulamaya yönelik yürütülmesi gerektiğini göstermektedir.
High school learning outcomes: The effect of self-regulation, resilience, and family environment
Authors: Machmud Amir , Ramadhan Irfan Alfaridzi
Published: October 2022

Inspired by the poor Economics learning outcomes of students in state senior high schools (SSHS) in Cianjur regency, this study aims to determine and analyze self-regulation mediating the effect of resilience and family environment on student learning outcomes. It employed an explanatory survey with questionnaires and observations to collect the data. The population of this study comprises all grade XI social science students of SSHSs in Cianjur Regency, while the sample members selected randomly include 223 students. The data collected was then analyzed by using multiple linear regression analysis with the mediator variable. The results likely show that (i) resilience and family environment are in the high category, while self-regulation and learning outcomes are in the medium category. (ii) Both resilience and family environment influence self-regulation, and (iii) resilience, family environment, and self-regulation affect learning outcomes. (iv) Resilience affects learning outcomes either directly or indirectly through self-regulation. (v) Family environment likely influences learning outcomes directly or indirectly through self-regulation. The results of this study imply that the concepts of resilience, family environment, and self-regulation are relevant and can estimate student learning outcomes.
بزوتنەوەی ڕوانگە و پەیامی یاخیبوون
Authors: Qadir Awara Faraedun , Ali Luqman raouf
Published: October 2022

ئەم توێژینەوەیە ( بزوتنەوەی ڕوانگەو پەیامی یاخیبوون)، توێژینەوەیەکی تایبەتە لەسەر پەیامی یاخیبون لە لای بزوتنەوەی ڕوانگە، کە لە بەیاننامەکەیاندا بەیانیانکرد، کە وەک ئاشکرایە ئەم بزوتنەوەیە بزوتنەوەیەکی ئەدەبی ڕەخنەیی بوو، لە هەلومەرج و بارودۆخێکی دیریکراودا سەری هەڵدا و لەکاتی خۆیدا مشتومڕێکی زۆریان نایەوە، بە شێوەیەک دەکرێ بڵێین تا ئێستاش کاریگەریەکانی ماوە و جێگەی باسی نێو کۆڕ و لێکۆڵینەوە ئەدەبییەکانە، ئەم بزوتنەوەیە بزوتنەوەیەکی یاخی بوون و خاوەنی پەیامێک بوون، بۆ شڵەقاندنی ئەو گۆمی چەقبەستوییەی ناو ئەدەب و سیاسەت و کۆمەڵگا..، لە پێناو هێنانە کایەی ژیانێکی ئاسودە و یەکسان و دادپەروەر بۆ سەرجەم ئەندامانی کۆمەڵگا.
نوسەرانی گروپی ڕوانگە کەسانێک بوون، خاوەن ئایدیاو ڕوانینی جیاوازبوون بۆ ئاسۆ، لەبەر  ئاگاداربوون لەو ڕەوت و بزوتنەوە نوێخوازانەی کە لە جیهاندا ڕوودەدەن و گەشەدەکەن و ئامانجەکان دەهێنەدەی، ئەمانیش دەیانویست هەمان هەنگاو بگرنە بەر، بۆئەوەی لە شۆڕش و کاروانی نوێگەری دوانەکەون و لەگەڵ ڕەوتی ژیانی نوێگەریدا هەنگاو بنێن، کەواتە نوسەرانی گروپی ڕوانگە لەو کاتەدا  دەنگێکی ئازا و بوێر بوون و بەبێ گوێدانه هیچ بەربەستێک، بە بیر و قەڵەمەکانیان پەیامێکی نوێ و شێوازێکی نوێیان ڕاگەیاند، هەموو ئەمەش لەپێناو گەشەدان بە ئەدەب و رۆشنبیری و سەلماندنی توانا و پێگەی نوسەر و ئەدەبی کوردی بوو، بەبەراورد بە نوسەر و ئەدیبانی  ڕۆژهەڵات و جیهان.
Grad CAM helps interpret the Deep Learning-Based Migraine Classification Results Based on Functional Magnetic Resonance Imaging Data (Preprint)
Authors: Li Guohao , yang Hao , shi Qingke , Zhang Junran
Published: October 2022

UNSTRUCTURED

Recent developments in deep learning have led to a growing interest in computer-assisted diagnosis and the automated detection of disease in medical images. However, many of these technologies remain experimental and lack widespread use in clinical environments. This is largely because classification decisions of deep learning are often made without concrete explanations that are easily interpretable by clinicians. As such, this study employed gradient-weighted class activation mapping (Grad-CAM) to generate enhanced visualization heatmaps, for improved interpretability of classification The viability of this technique was evaluated using a set of functional magnetic resonance imaging (fMRI) scans acquired from migraine patients. A convolutional neural network (CNN) was used in combination with three fMRI indicators: the amplitude of low-frequency fluctuations (ALFF), regional homogeneity, and regional functional correlation strength, to distinguish two migraine subtypes from healthy controls. These data included scans from 21 migraine patients without aura, 15 patients with aura, and 28 healthy controls. The area under the receiver operating characteristic curve was 0.99 for the test set. Three common CNN architectures (Vgg16, GoogleNet, and ResNet18) were used to train the model, though the network type played only a marginal role in classification accuracy. The selection of indicators was far more effective for improving performance. A series of heatmaps suggested ALFF to be the most informative activation metric. The consistency of activated brain regions in migraine patients confirmed the improved interpretability of classification results available with the proposed technique, which could increase the clinical relevance of deep learning models.
Accumulation of Biological and Behavioral Data of Female Sex Workers Using Respondent-Driven Sampling: Protocol for a Systematic Review (Preprint)
Authors: Bhatta Mihir , Majumdar Agniva , Banerjee Sitikantha , Ghosh Piyali , Biswas Subrata , Dutta Shanta
Published: October 2022

BACKGROUND

Respondent-driven sampling (RDS) is a nonprobability sampling technique that allows the extrapolation of its outcome to the target population. This approach is typically used to overcome the difficulties in studying hidden or difficult-to-reach groups.

OBJECTIVE

The purpose of this protocol is to generate a systematic review on the accumulation of biological and behavioral data of female sex workers (FSWs) through different surveys that use the RDS method from around the world in the near future. The future systematic review will discuss the initiation, actualization, and problems of RDS during the accumulation of biological and behavioral data of FSWs through surveys from around the world.

METHODS

The behavior and biological data of FSWs will be extracted from peer-reviewed studies published between 2010 and 2022 and that are acquired through RDS. Using PubMed, Google Scholar, the Cochrane database, Scopus, Science Direct, and the Global Health network, all papers that are available will be obtained using the search phrases “respondent-driven” and “Female Sex Workers” OR “FSW” OR “sex workers” OR “SW.” According to STROBE-RDS (Strengthening the Reporting of Observational Studies in Epidemiology for Respondent-Driven Sampling) criteria, the data will be retrieved through a data extraction form and will be organized using World Health Organization classifications of areas. The Newcastle-Ottawa Quality Assessment Scale will be used to measure bias risk and overall study quality.

RESULTS

The future systematic review that will be generated from this protocol will offer evidence for or against the claim that using the RDS technique to recruit participants from “hidden” or “hard-to-reach” populations is the best strategy. The results will be disseminated through a peer-reviewed publication. Data collection started on April 1, 2023, and the systematic review is expected to be published by December 15, 2023.

CONCLUSIONS

A minimum set of parameters for specific methodological, analytical, and testing procedures, including RDS methods to evaluate the overall quality of any RDS survey, will be provided by the future systematic review, in accordance with this protocol, to assist researchers, policy makers, and service providers in improving RDS methods for the surveillance of any key population.

CLINICALTRIAL

PROSPERO CRD42022346470; https://tinyurl.com/54xe2s3k

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/43722
OXIDATIVE STRESS IN ACNE VULGARIS
Authors: R. JISHA , M. SABOORA BEEGUM , V. YOGAPRIYA
Published: November 2022

Objective: Acne vulgaris is a common dermatological disease characterized by sebaceous hyperplasia, follicular hyperkeratinization, Immune reactions, and Inflammation. Our study aims to determine the role of oxidative stress in the pathogenesis of acne vulgaris.
Methods: 35 acne patients and 35 healthy people were selected and their serum levels of superoxide dismutase SOD and Malondialdehyde MDA were estimated and the results are compared with the control group. Also, the relationship between the duration and severity of acne with the parameters is assessed.
Results: The activity of SOD is found to be decreased and the level of MDA is found to be increased in acne patients compared to healthy people, suggesting increased oxidative stress in Acne vulgaris patients.
Conclusion: Our study concludes that oxidative stress plays a role in the pathogenesis of Acne vulgaris and antioxidants can be used as a part of treatment.
Corrosion of Reinforcement in HVFA Concrete
Authors: Powar Namrata Shankar
Published: October 2022

bstract: Concrete is a composite material composed of fine aggregate and coarse aggregate bonded together with cement that hardens over time. Concrete is one of the most frequently used building materials. Water cement ratio plays an important role which influences various properties such as workability, strength and durability. In concrete cement is main concrete material.The use of fly ash as an addictive material, as replacement of cement. The most important benefit is reduced permeability to water and chemicals. Properly cured concrete made with fly ash creates a denser product because the size of pores is reduced. This increases strength and reduces permeability and corrosion. For concrete mixes 43 grade of ordinary Portland cement and class F type Fly ash is concrete cubes are casted with varying percentage of fly ash and ultrafine fly ash. Three types of percentage is used as replacement of cement with fly ash. For replacement 40% ,50% and 60% fly ash is used. The size of cubes is 150mm x 150mm x150mm.Water/cement ratio 0.36 and Four types of percentage of Ultra fine fly ash is added such as 6%,8%,10% and 12%. Test is carried out after 7 days and 28 days of curing period. The tests conducted on concrete specimens are compressive strength. Results show that the addition of 6 wt.% UFFA significantly improved the early age and later age compressive strengths of HVFA concretes. The HVFA concrete containing 50% fly ash and 6% UFFA exhibited higher corrosion resistance properties. The results also indicate the effectiveness of UFFA in producing high packing density and in accelerating the pozzolanic activity to produce more C–S–H gel by consuming calcium hydroxide (CH) in HVFA concretes.
Femoral and Popliteal Artery Pathway in Varus and valgus aligned lower limb; a CT Angiographic study
Authors: Kazemi Seyed Morteza , Keyhani Sohrab , Qoreishi Mohamad , Shakeri Jousheghan Saman , Minaei Noshahr Reza
Published: October 2022

Objectives: This study aimed to compare the femoral and popliteal arteries pathway in varus and valgus- aligned lower limbs.

Methods: A retrospective CT angiography (CTA) study from October to December 2021 was conducted. Distance of the femoral and popliteal artery to specific bony landmarks in thigh and knee was measured.

Results: Eighty limbs including 40 varus and 40 valgus lower limbs were assessed. No significant difference between varus/valgus groups in terms of distances was noted.

Conclusion: Our study compared pathway of PA and FA artery in varus and valgus knees using CTA images; and no significant differences was seen between the two groups of varus and valus.
Relation of serum and follicular level of BMP15 with Oocyte quality, embryo grading and pregnancy rate
Authors: Hashim Zainab Hassan , Amer Lubna , Al-Wasiti Estabraq A.
Published: October 2022

Objectives: Use of serum and follicular fluid concentration of oocyte secreted factors BMP15 as biomarkers of oocyte quality, embryo quality and it's relation to pregnancy rate.

Methods: Eighty eight women were included in this study; they were selected from those undergoing intra-cytoplasmic sperm injection.

Results: Positive pregnancy was achieved by 14 women accounting for 19.0 % (total number of women that reach embryo transfer was 72). No significant difference in mean serum BMP15 between pregnant and non- pregnant women, but the level of follicular fluid BMP15 was significantly higher in pregnant women. MI oocyte count was not significantly correlated to serum or follicular fluid BMP15 (p > 0.05). MII oocyte count showed highly significant positive correlation to serum and follicular fluid BMP15 (p < 0.01). Grade1 embryo count showed highly significant positive correlation to serum and follicular fluid BMP15 (p < 0.01), Grade 2 embryo count showed significant positive correlation to serum BMP15 (p = 0.032), but the grade 2 embryo count showed non- significant correlation to follicular BMP15 (p > 0.05). Also grade 3 embryo count showed non- significant correlation to serum and follicular BMP15 (p > 0.05).

Conclusions: The current study revealed that  serum and follicular BMP15 could be used as indicator for oocyte maturity, and serum BMP15 could be used as indicator of good quality embryos.
Association between hormonal Imbalance and Interleulin-10 level with Polycystic Ovarian Syndrome of Iraqi women
Authors: Al-Quraishy Hiba Aqeel Muslem , Ali Hanaa Addai , Al-Tu’ma Fadhil Jawad , Ali Mousa Mohsin , Al-Tu’ma Amir Fadhil
Published: October 2022

Objectives: To determine the level of interleukin-10 as inflammatory marker in PCOS patients and compared with healthy control and explore the correlation between IL-10 level and other biochemical markers in PCOS patients.

Methods: Whole blood samples of 80 PCOS obese patients and 80 healthy people were collected in duration from Dec., 2021 to April, 2022, at the gynecological and obstetric teaching hospital, Kerbala health directorate, Iraq. The Rotterdam criteria-2003 was accepted to PCOS females with age range between (18-40 years), while the apparently control group with age ranged between (18-40 years). BMI and WHR and hormonal status (LH, FSH, LH/FSH ratio, Prolactin, Free Testosterone) were determined. Elabscience/USA ELISA kit uses the Sandwich-ELISA principle was used to determined IL-10 level in serum.

Results: The obese PCOS women had a seriously decrease in IL-10 (pg/ml) level when compare with apparently healthy control group with mean ± SD for patients (2.192 ± 0.47) and for control group (4.532 ± 0.75) P value < 0.0001, and there are significant negative correlations between IL-10 and (BMI p<0.0001, r= -0.66), (WHR p<0.0001, r= -0.66), (LH p<0.0001, r= -0.63), (LH: FSH ratio p<0.0001, r= -0.72), (Prolactin p=0.008, r= -029).  

Conclusion: Our findings indicate that the IL-10 level decrease in PCOS obese patients and has significant association with pathogenesis and progression of disease.
Breast Cancer Knowledge and Screening Practice among Women in Makkah, Saudi Arabia
Authors: Flemban Arwa F , Kabrah Saeed M , Alfaifi Suhail S , Alsubhi Ahmed S , Alzahrani Ayoub S , Alhazmi Khalid A , Alharbi Samah
Published: October 2022

Objectives: This study aimed to estimate the level of current knowledge regarding breast cancer in Saudi Arabia. We assessed the knowledge of breast cancer risks, the knowledge regarding the BSE and mammogram in Saudi Arabian females using a survey-based study.

Methods:  A cross-sectional study was conducted using a self-administered survey to assess the knowledge and practice of Saudi women toward Brest cancer examination. Collected data were analyzed using SPSS program.

 

Results: A total number of 499 surveys were collected. The data showed that there was general lack of practice of BSE in the sample only 186 (37%) reported that they practiced regular BSE and only 16 (3%) reported that they went to the clinic for breast examination. Among all participants around 54% had poor overall knowledge of breast cancer 65% had poor knowledge regarding breast cancer risk and 93% had poor knowledge regarding clinical examination. Surprisingly, 56% had good knowledge regarding the clinical picture of breast cancer.

Conclusion: This clearly showed that the lack of breast self-examination, mammogram and clinical examination is not a result of total lack of knowledge but due to lack of knowledge regarding risks and examination. This set of data provide a guideline for the focus and planning of future breast cancer awareness campaigns.
Assessment of the HER2, PDL1 and oxidative stress levels at the menopausal status of newly diagnosed breast cancer patients
Authors: Mahmood Baraa R. , Allwsh Thikra A.
Published: October 2022

Objective: This study aimed to estimate the levels of HER2, PD-L1 and oxidative stress in newly diagnosed breast cancer patients. Also, to estimate the probability of using HER2 and PD-L1 as a predictive marker on the occurrence of breast cancer in addition to study the effect of menopausal status at the level of HER2, PD-L1, oxidative stress and breast cancer risk factor.

Methods: This study included 125 newly diagnosed breast cancer patients (53 premenopausal and 72 postmenopausal) from Oncology and Nuclear Medicine Hospital in Mosul, Iraq, and 100 apparently healthy women as a control group (44 premenopausal and 56 postmenopausal), during the period from Jan. 2021 to Jun. 2021. The ages of patients and control are matched, and it is ranged from 30-60 years.

In this study we estimate the level of Human Epidermal Growth Factor Receptor 2 (HER2), Programmed Death -Ligand 1(PD-L1), total antioxidant capacity (T-AOC), arylesterase activity, uric acid level, malondialdehyde (MDA) level, peroxidase activity, lactoperoxidase activity and iron level at breast cancer patients and control.

Results: The results show that there is a significant elevation in the level of HER2, PD-L1, malondialdehyde, peroxidase, lactoperoxidase and iron, and a significant decrease in the level of T-AOC, arylesterase and uric acid in the serum of breast cancer patients (pre and postmenopausal) compared with the control group (pre and postmenopausal).

 Also, increase the level of HER2 and oxidative stress at postmenopausal status for the control and patient groups. while PD-L1 level does not affect by menopausal status for both control and patient groups.

Conclusion: The level of HER2, PD-L1, and oxidative stress was significantly increased in newly diagnosed breast cancer patients compared with the control group at the same menopausal status.  Increase breast cancer risk factor at the postmenopausal status.
Biofeedback of Heart Rate Variability in the treatment of chronic diseases: A Systematic Review
Authors: Al-Tamimi Saad Majeed
Published: October 2022

Background: HRVB (heart rate variability biofeedback) is a non-pharmacological method for chronic diseases evaluation.

Method: Adults chronic sufferers, HRVB as the primary therapy with or without controlled circumstances, and psycho - physiological results as regression analysis were all included in a systematic search.

Results: There were 21 publications in overall. HRVB was found to be feasible in chronic patients with no adverse reactions, according to the findings. Significant favourable impacts on hypertension and cardiovascular prognostic, inflammation condition, asthma issues, depression and anxiety, sleeping disruptions, cognitive function, and pain were reported in diverse patient characteristics that could be linked to enhanced quality of life. Increases in treatment practice were accompanied by increases in heart rate variability, implying that HRVB may have a regulatory influence on autonomic function.

Conclusions: HRVB has the potential to help individuals with chronic conditions. More research is needed to reinforce these findings as well as identify the most efficient strategy.
Executive function deficits associated with anxiety and depression and their impact on medical students’ academic performance in Saudi Arabia
Authors: Alfakeh Sulhi A. , Alharbi Alya S. , Alhebshi Mohammed K. , Attar Abdullah F.
Published: October 2022

Objectives: This study aimed to determine the relationship between EF deficits associated with anxiety and depression and their impact on medical students’ academic achievement in Saudi universities.

Methods: A cross-sectional online survey was conducted on 242 medical students. Anxiety and depression were assessed using the Barkley Deficits in Executive Functioning Scale (BDEFS), General Anxiety Disorder-7 scale (GAD-7), and the Patient Health Questionnaire (PHQ-9).

Results: Participants’ mean age was 22.57 (2.26) years and the mean GAD-7, PHQ-9, and BDEFS scores were 10.54 (5.83), 12.29 (6.86), and 196.78 (47.78), respectively. Males, Saudi students, those in their fourth academic year, and those who were not satisfied with their academic performance had significantly higher mean GAD-7, PHQ-9, and BDEFS scores. A significant negative association was found between students’ grade point average (GPA) and BDEFS scores, and a significant positive association was found between GPA and GAD-7 scale scores, PHQ-9 scores, and BDEFS scores. Additionally, there was a positive association between the PHQ-9 and BDEFS scores.

Conclusion: A real-world application of EF scales to address EF deficits for all university students should be considered.
EXPLORING MANET SECURITY ASPECTS: ANALYSIS OF ATTACKS AND NODE MISBEHAVIOUR ISSUES
Authors: Khan Burhan Ul Islam , Anwar Farhat , Abdul Rahman Farah Diyana Bt. , Olanrewaju Rashidah Funke , Mat Kiah Miss Laiha B. , Rahman Md Arafatur , Janin Zuriati
Published: October 2022

Mobile ad hoc networks are susceptible to various security threats due to their open media nature and mobility, making them a top priority for security measures. This paper provides an in-depth examination of MANET security issues. Some of the most critical aspects of mobile ad hoc networks, including their applications, have been discussed. This is followed by a discussion of MANETs' design vulnerability to external and internal security threats caused by inherent network characteristics such as limited battery power, mobility, dynamic topology, open media, and so on. Numerous MANET-related attacks have been classified based on their sources, behaviour, participating nodes, processing capability, and layering. The many different types of misbehaviour a node can exhibit and the various ways a node can behave were investigated. Two major types of MANETs misbehaviour have been evaluated, classified and analysed. Notably, mitigating node misbehaviour in MANET is a critical issue that must be addressed to ensure network node functionality and availability. Strategies for detecting network nodes that misroute packets are also examined. Finally, the paper emphasises the need for effective solutions to secure MANETs.
REAL-TIME EYE TRACKING USING HEAT MAPS
Authors: Krishnan Chetana , Jeyakumar Vijay , Joseph Raj Alex Noel
Published: October 2022

Communication in modern days has developed a lot, including wireless networks, Artificial Intelligence (AI) interaction, and human-computer interfaces. People with paralysis and immobile disorders face daily difficulties communicating with others and gadgets. Eye tracking has proven to promote accessible and accurate interaction compared to other complex automatic interactions. The project aims to develop an electronic eye blinker that integrates with the experimental setup to determine clinical pupil redundancy. The proposed solution comes up with an eye-tracking tool within an inbuilt laptop webcam that tracks the eye’s pupil in the given screen dimensions and generates heat maps on the tracked locations. These heat maps can denote a letter (in case of eye writing), an indication to click on that location (in case of gadget communication), or for blinking analysis. The proposed method achieves a perfect F-measure score of 0.998 to 1.000, which is comparatively more accurate and efficient than the existing technologies. The solution also provides an effective method to determine the eye's refractive error, which can replace the complex refractometers. Further, the spatially tracked coordinates obtained during the experiment can be used to analyze the patient’s blinking pattern, which, in turn, can detect retinal disorders and their progress during medication. One of the applications of the project is to integrate the derived model with a Brain-computer interface system to allow fast communications for the disabled.
A NOVEL COMPARATIVE STUDY FOR AUTOMATIC THREE-CLASS AND FOUR-CLASS COVID-19 CLASSIFICATION ON X-RAY IMAGES USING DEEP LEARNING
Authors: Yaşar Hüseyin , Ceylan Murat
Published: October 2022

The contagiousness rate of the COVID-19 virus, which was evaluated to have been transmitted from an animal to a human during the last months of 2019, is higher than the MERS-Cov and SARS-Cov viruses originating from the same family. The high rate of contagion has caused the COVID-19 virus to spread rapidly to all countries of the world. It is of great importance to be able to detect cases quickly in order to control the spread of the COVID-19 virus. Therefore, the development of systems that make automatic COVID-19 diagnoses using artificial intelligence approaches based on Xray, CT scans, and ultrasound images are an urgent and indispensable requirement. In order to increase the number of X-ray images used within the study, a mixed data set was created by combining eight different data sets, thus maximizing the scope of the study. In the study, a total of 9,667 X ray images were used, including 3,405 of COVID-19 samples, 2,780 of bacterial pneumonia samples, 1,493 of viral pneumonia samples and 1,989 of healthy samples. In this study, which aims to diagnose COVID-19 disease using X-ray images, automatic classification has been performed using two different classification structures: COVID-19 Pneumonia/Other Pneumonia/Healthy and COVID-19 Pneumonia/Bacterial Pneumonia/Viral Pneumonia/Healthy. Convolutional Neural Networks (CNNs), a successful deep learning method, were used as a classifier within the study. A total of seven CNN architectures were used: Mobilenetv2, Resnet101, Googlenet, Xception, Densenet201, Efficientnetb0, and Inceptionv3 architectures. The classification results were obtained from the original X-ray images, and the images were obtained by using Local Binary Pattern and Local Entropy. Then, new classification results were calculated from the obtained results using a pipeline algorithm. Detailed results were obtained to meet the scope of the study. According to the results of the experiments carried out, the three most successful CNN architectures for both three-class and four class automatic classification were Densenet201, Xception, and Inceptionv3, respectively. In addition, it is understood that the pipeline algorithm used in the study is very useful for improving the results. The study results show that up to an improvement of 1.57% were achieved in some comparison parameters.
O VERDADEIRO POVO DE DEUS
Authors: Sá Leitão Alana
Published: October 2022

Nessa revisão discuto a contribuição do trabalho de Carpenedo (2022) para dois importantes temas, o desenvolvimento do filossemitismo no sul global e agência feminina. Além disso, através do estudo desses dois temas, argumento que a autora colabora para o entendimento do atual quadro político e social do Brasil. Muitos brasileiros e pessoas atentas ao que ocorre na sociedade brasileira tem se perguntando como elementos do judaísmo, pessoas ligadas a essa tradição, e causas políticas do Estado de Israel passaram a ser tão caros para uma ampla parcela dos cristãos brasileiros? Esse judaísmo admirado inclui todos os judeus? Quais são as expectativas articuladas através dessa admiração? Por que a bandeira de Israel tremula em manifestações pró Bolsonaro? A questão por trás de todas essas é como e por que o filossemitismo tem crescido no sul global? Aqui essa reflexão ocorre através de um grupo que, apesar de a maioria de seus integrantes possuírem um passado pentecostal, se encontra em processo de conversão, no qual adota práticas e busca reconhecimento como judeu, enquanto acreditam que Jesus seria o messias enviado a esse povo. Nesse sentido, no momento em que é pesquisado, os sujeitos estudados passam por uma de mudança do seu enquadramento ético. Notavelmente, a autora também investiga o que agência feminina significa durante esse processo transitório.
RESPOSTA AO ARTIGO DE MANOELA CARPENEDO
Authors: Mayblin Maya
Published: October 2022

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Synergistic effects of herbal compounds to promote osteoporotic fracture repair through upregulation of β-catenin signaling in skeletal muscle satellite cells
Authors: Jin Zhenxiong , Da Weiwei , Huang Chen , Zhao Yong-Jian , Wang Tengteng , Xu Hao , Wan Hongbo , Gao Xiang , Wu Xuequn , Shi Qi , Wang Yong-Jun , Tang Dezhi
Published: October 2022

Background and purpose: Osteoporotic fracture (OPF) disrupts the balance
of bone formation by osteoblasts and bone resorption by osteoclasts. we
found that compounds from herbal medicine, Invigorate the Spleen and
Tonify the Kidney Formula (ISTKF) accelerates fracture healing.
Identification of the active ingredients in ISFKF and the mechanisms of
fracture healing involved was carried out. Experimental approach: Using
Pax7-Cre;β-catenin
conditional knockout(cKO) mice, the mechanisms involved in promoting
fracture healing were assessed by looking at the fracture site and its
surrounding muscle tissue, using various experiments to analyze the
signaling involved. The key molecules and compounds involved in this
fracture-promoting effect were identified by HPLC analysis. Key results:
Histopathological staining of muscles and micro-CT of bone revealed that
β-catenin knockout in skeletal muscle satellite cells (SMSCs) gives rise
to sarcopenia and osteopenia, and ISTKF significantly promoted muscle
firmness and also increased proliferation and osteogenic differentiation
of SMSCs. ISTKF inhibits the significant decrease in bone mass and the
destruction of bone microstructure in
Pax7-Cre;β-catenin
cKO mice. ISTKF mediates the β-catenin signaling pathway to mobilize
SMSCs to migrate to the fracture site, promotes the osteogenic
differentiation of SMSCs, and promotes the activity of cartilage and
osteoblasts at the OPF site. When β-catenin is promoted by ISTKF, it
promotes skeletal muscle fiber remodeling and fractures healing.
Conclusion and implications: These results provided the first practical
evidence for ISTKF-mediated regulation of SMSCs via β-catenin to promote
fracture healing with clinical implications that would aid in the
treatment of delayed healing and nonunion of fractures.
INFLUENCE OF THE SAMPLING FREQUENCY ON VARIOUS MPPT COMMANDS: A COMPARATIVE STUDY ON THE NEW INTELLIGENT CONTROL STRATEGY DEVELOPED BY THE ROBUST NEURAL NETWORK ALGORITHM FOR REAL TIME DETECTION OF THE MAXIMUM POWER POINT WITH OPTIMIZED NOISY EMPIRICAL DATA FOR OPTIMAL POWER POINT TRACKING CONTROL IN PHOTOVOLTAIC SYSTEMS
Authors: GHONEIM Sherif S. M. , ISSAADI Wassila , ISSAADI Salim
Published: October 2022

It is widely admitted that the use of renewable energy is experiencing
significant growth throughout the entire world. With increased electric
power demand, mainly for remote, desert, and mountainous regions,
photovoltaic energy systems started finding great applications,
particularly in telecommunication and water pumping systems. The
parameters that affect the three MPPT controls and the Neural network
algorithm were investigated in the present work. The sampling frequency
is an essential parameter for assessing the task performed by the
command and the microprocessor. The sampling frequency governs the
operation of these commands. The main objective of the current work is
to focus on the power ripple caused by the oscillations around the
maximum power point (MPP), its dependence on the sampling frequency, and
its dependence on the DC-DC chopper used. The current work consolidated
the idea that the new neural network controller provides the best
tracking speed and precision performance compared to its classical
counterparts. In addition, the robustness of neural networks can be
affected by the measurement noise. This robustness is related to the
existence of a smooth power signal generated during the application of
the neural command in the PV system. Therefore, the command under
consideration can be viewed as an alternative solution to the drawbacks
observed in conventional methods. Consequently, it is possible to deduce
the best MPPT command that allows achieving the maximum power point with
the lowest ripple rate and the highest execution speed.
Lipschütz Syndrome: Not All Genital Ulcers Are Herpes
Authors: Lerner Henry
Published: October 2022

Lipschütz ulcers are genital ulcerations that occur infrequently in
girls and young women and are often mistaken for genital herpes simplex
lesions despite lack of sexual exposure or contact with oral cold sores.
They appear to be caused by an immune response to the Epstein-Barr virus
or other organisms, resulting in a type III hypersensitivity reaction.
All too often, despite negative HSV cultures, the patient is not
believed and some sort of sexual or other genital contact is assumed to
have taken place.
A case of MDS/MPN overlap syndrome with ring sideroblasts and thrombocytosis: Tackling the quandary of thrombosis versus hemorrhage.
Authors: Cherniawsky Hannah , Razavi Habib Moshref
Published: October 2022

Myelodysplastic/ myeloproliferative overlap syndrome with ring
sideroblasts and thrombocytosis (MDS/MPN-RS-T) is a rare myeloid
neoplasm showing myelodysplastic and myeloproliferative features. With
extremely raised platelets, possibility of acquired Von Willebrand and
risk of hemorrhage is increased. With this quandary in mind, a
descriptive case and a discussion of available treatments ensues
Proximal and remote sensing based imaging technology to quantify herbicide responses in field crops
Authors: Singh K.D. , Geddes C.M. , Johnson E. , Tidemann B. , Shirtliffe S.J. , Wang H. , Natarajan M. , Jaster A. , Zuidhof J. , Turkington T.K.
Published: November 2022

The application of herbicides in agriculture has significantly increased
in recent decades. While many herbicides improve the efficiency and
efficacy of weed control, their excessive use at the wrong growth stage
can cause crop foliar damage, higher input cost and negative
environmental footprints. There are limited techniques to accurately
monitor herbicide effects. Visual ratings are highly subjective and
require extensive training or experience. High-throughput digital
imaging is a promising tool to measure plant herbicide interaction in
field crops. In this study, proximal and aerial based advanced sensors
have been utilized to evaluate different herbicide modes-of-action in
two model species, tame oat [Avena sativa; model for wild oat
(Avena fatua)] and oriental mustard [Brassica juncea;
model for wild mustard (Sinapis arvensis)]. The experimental
trials were performed at three agro-climatic locations in Canada
(Lethbridge (AB), Saskatoon (SK), and Lacombe (AB)). The proximal and
UAV multispectral imagery data were collected for baseline (before
treatment) and 1, 3, 7, 10, 14 and 21 days after treatments (DAT),
alongside visual ratings. The Normalized Difference Vegetation Index
(NDVI), Photochemical Reflectance Index, Chlorophyll Vegetation Index,
and Optimized Soil Adjusted Vegetation Index were used to assess
variation of different DAT pigment content (photosynthetic rate) and
chlorosis (damage %) in plot vegetation. The variation in obtained
temporal indices (NDVI) suggest that the developed technology has
potential to replace visual ratings (R ≈0.65-0.94)
and can be used as a rapid screening tool for herbicide activity.
Therefore, remote sensing tools could improve the precision and
consistency of future herbicide assessments.
Adaptive control of DC motor without identification of parameters
Authors: Omar Fezazi , Habib Hamdaoui , Ahmed Nour , Sid Ahmed
Published: October 2022

Parameter identification is a major problem in industrial environments where it might be difficult or even impossible in some situations. Moreover, non-measurable and unknown variations of system parameters can affect the performance of conventional proportional-integral (PI) controllers. The concept of developing a controller that does not depend on the system parameters seems very interesting. Therefore, this paper deals with the experimental implementation of model reference adaptive control of a DC motor without identifying parameters. Adaptive control is considered an online solution to control a system without knowing system parameters since it can be adjusted automatically to maintain favorable tracking performance. The simulation and experimental results are presented to demonstrate the effectiveness of the proposed control method.
A new approach for direct discretization of fractional order operator in delta domain
Authors: Dolai Kumar , Mondal Arindam , Sarkar Prasanta
Published: October 2022

The fractional order system (FOS) comprises fractional order operator. In
order to obtain the discretized version of the fractional order system, the
first step is to discretize the fractional order operator, commonly
expressed as s?m, 0 < m < 1. The fractional order operator can be used as
fractional order differentiator or integrator, depending upon the values of
. In general, there are two approaches for discretization of fractional
order operator, one is indirect method of discretization and another is
direct method of discretization. The direct discretization method
capitalizes the method of formation of generating function where fractional
order operator s?m is expressed as a function of Z in the shift operator
parameterization and continued fraction expansion (CFE) method is then
utilized to get the corresponding discrete domain rational transfer
function. There is an inherent problem with this discretization method using
shift operator parameterization (discrete Z-domain). At fast sampling time,
the discretized version of the continuous time operator or system should
resemble that of the continuous time counterpart if the sampling theorem is
satisfied. At very high sampling rate, the shift operator parameterized
system fails to provide meaningful information due to its numerical ill
conditioning. To overcome this problem, Delta operator parameterization for
discretization is considered in this paper, where at fast sampling rate, the
continuous time results can be obtained from the discrete time experiments
and therefore a unified framework can be developed to get the discrete time
results and continuous time results hand to hand. In this paper a new
generating function is proposed to discretize the fractional order operator
using the Gauss-Legendre 2-point quadrature rule. Additionally, the function
has been expanded using the CFE in order to obtain rational approximation of
the fractional order operator. The detailed mathematical formulations along
with the simulation results in MATLAB, with different fractional order
systems are considered, in order to prove the newness of this formulation
for discretization of the FOS in complex Delta domain.
Lighting - the way to reducing electrical energy demand in university buildings in Bangladesh
Authors: Ali Md. , Khan Imran , Hassan Mehedi
Published: October 2022

Lighting is one of the dominant electricity demand factors in the building
energy sector and has huge potential for demand reduction. However,
concerning the efficacy of energy consumption, this potential energy-saving
option entails further investigations, particularly for developing
countries. This study addresses the issues of an efficient lighting system
design for educational institutions with particular attention to classroom
and laboratory lighting systems for a university in Bangladesh as a case
study. Measurements show that during the daytime, under clear and average
sky conditions both rooms received sufficient natural light (>300 lx) for
educational activities, whereas under an overcast sky, only 50% space
receives sufficient natural light. At night, the installed fluorescent tube
lights illuminance level was found insufficient (<300 lx) for educational
activities. The inefficient lighting system design was found to be the main
reason for this illuminance level. Simulation results reveal that light
emitting diode (LED) tube lights with a maintenance factor of 0.8 could save
10,080-15,120 kWh, 91,929-137,894 BDT (1USD=84BDT), and 6,753-10,130
kgCO2-eq, energy, cost, and, greenhouse gas emissions respectively per year
for the classrooms.
Інтелектуальна система моніторингу та аналізу трафіку для виявлення атак в програмно-конфігурованих мережах
Authors:   Національний університет ", Бешлей М. ,   Львівська політехніка", Прислупський А. , Медвецький М , Бешлей Г.
Published: October 2022

Today, the task of monitoring, security, management, traffic prioritization and optimization of the overall load on the network infrastructure is becoming extremely important not only for the corporate sector, but also for mobile and fixed-line operators. Current trends in Internet content services indicate that the requirements for traffic management are unpredictable. Therefore, service providers must implement new algorithms to monitor and analyze network traffic to detect attacks in today's networks, where software can be updated to support changing traffic management and control requirements as needed. That is why this paper developed a unique algorithm for monitoring and analyzing network traffic, which improved the efficiency of standard intrusion detection and prevention systems by using intelligent multifractal processes for analyzing incoming traffic. It has been experimentally proved that the use of the developed algorithms in the communication infrastructure allowed to reduce data losses up to 5 % if malicious traffic was present in the communication channels.
МОДЕЛЬ ІНТЕГРАЦІЇ ФЕДЕРАТИВНОГО НАВЧАННЯ В МЕРЕЖІ МОБІЛЬНОГО ЗВ’ЯЗКУ 5-ГО ПОКОЛІННЯ
Authors:   Національний університет ", Шубин Б. ,   Львівська політехніка", Максимюк Т. , Яремко О. , Фабрі Л. , Мрозек Д. ,   Сілезький технологічний університет
Published: October 2022

This paper investigates the main advantages of using Federated Learning (FL) for sharing experiences between intelligent devices in the environment of 5th generation mobile communication networks. This approach makes it possible to build effective machine learning algorithms using confidential data, the loss of which may be undesirable or even dangerous for users. Therefore, for the tasks where the confidentiality of the data is required for processing and analysis, we suggest using Federated Learning (FL) approaches. In this case, all users' personal information will be processed locally on their devices. FL ensures the security of confidential data for subscribers, allows mobile network operators to reduce the amount of redundant information in the radio channel, and also allows optimizing the functioning of the mobile network. The paper presents a three-level model of integration of Federated Learning into the mobile network and describes the main features of this approach, as well as experimental studies that demonstrate the results of the proposed approach.
Інструменти віртуальної лабораторії тестування співробітників для визначення готовності протидії фішинговим атакам
Authors:   Київський національний університет імені Тараса Шевченка, Бучик С. , Толюпа С. , Бучик О. , Мовчан Д.
Published: October 2022

The article is devoted to an important and most important direction in cyber security - training employees about possible phishing attacks. Phishing attacks affect both individuals and businesses, so effective employee training is one of the key ways to mitigate the effects of phishing attacks. The current market of platforms and tools for checking employees for phishing attacks is insufficient in terms of functionality, speed and efficiency. The solution to this problem is offered in the form of a virtual laboratory for testing employees for phishing attacks, which will allow for quick and high-quality training in this area.
Вплив параметрів стратегії технічного обслуговування на частоту потрапляння в аварійну ситуацію системи коміркового зв’язку
Authors:   Національний університет ", Озірковський Л. ,   Львівська політехніка", Маринович В. , Колодій Р.
Published: October 2022

The article shows the possibility of applying the methodology of synthesizing the parameters of the maintenance strategy of the mobile communication system. On the basis of Markov model the estimation of functional safety index of mobile communication system, namely frequency of getting into an accident situation from the value of the period of planned preventive maintenance, duration of repair works, etc. is carried out. Feature of the proposed approach is that the designer has the opportunity to choose appropriate parameters of maintenance strategy still at the stage of system-technical design, when the mobile communication system exists as a concept.
Дослідження ентропії двійкових послідовностей, фрагментованих на підпослідовності сталої довжини
Authors:   Чернівецький національний університет ім. Ю. Федьковича, Політанський Р. , Качур В.
Published: October 2022

The article investigates the structural entropy of sequences that are fragmented into binary subsequences (symbols) of a given length, based on the frequency of these symbols in the total sequence. The sequences generated by the logistic mapping with the initial value of the sequences from the interval [0;1] and the step 0.1 are investigated. The maximum length of a symbol (subsequence) is 10 bits. A comparison of the calculated entropy values with its maximum value shows that there is a deviation from a uniform distribution for symbols with a length of 8 or more bits, but the entropy value gradually approaches the maximum with an increase in the length of the subsequence. It is also established that such a generation parameter as the initial value does not affect the entropy. The conducted studies also show that the algorithm is effective in terms of high speed and does not require the use of significant computing power.
STUDY OF LIQUID CRYSTAL CELL DOPED WITH BODIPY FOR LASING APPLICATION
Authors:   Lviv Polytechnik National University, Petrovska H. , Yaremchuk I. , Melnykov S. , Stakhira P. , Volyniuk D. ,   Faculty of Chemical Technology, Kaunas University of Technology
Published: October 2022

The organic semiconductors BODIPY derivative was studied for lasing application. The nematic liquid crystal doped with BODIPY derivative was researched as gain medium for distributed feedback laser. Reflection spectrum for nematic liquid crystal and emission spectra of nematic liquid crystals doped with BODIPY derivative at the laser pumping with wavelength of 532 and 515 nm were determined. Obtained spectra correspond to the regime which is close to the threshold.