bluuebunny/crossref_metadata_2025 huggingface dataset:
EDUCAÇÃO, ENSINO E PESQUISA EM TEMPOS DE PANDEMIA: FORMAÇÃO DE PRODESSORES E PRÁTICAS DA DOCÊNCIA
Authors: Carvalho Antonia Dalva França , Carvalho Maria Vilani Cosme de , Lima Elmo de Souza , Monti Ednardo Monteiro Gonzaga do , Oliveira Luisa Xavier de
Published: February 2023

Este volume tem como objetivo viabilizar a socialização de pesquisas
que discutam acerca da formação inicial e continuada de professores em
diversos contextos sociais e educativos na perspectiva reflexiva, integradora,
multidimensional e emancipatória. Assim, na discussão dessa temática serão
aceitos trabalhos que tratem sobre: Formação inicial e continuada de professores
na perspectiva reflexiva, integradora, multidimensional e emancipatória;
Processos constitutivos do ser professor e educador e educando em diversos
contextos sociais e educativos, numa perspectiva reflexiva, integradora,
multidimensional e emancipatória; o trabalho docente em diversos contextos
sociais e educativos, numa perspectiva reflexiva, integradora, multidimensional e emancipatória; Formação e trabalho docente numa perspectiva reflexiva,
integradora, multidimensional e emancipatória e Desenvolvimento profissional
numa perspectiva reflexiva, integradora, multidimensional e emancipatória.
Educação de jovens e adultos. Narrativas de vida e formação. Currículo. Outras
Temáticas.
A Profitability Analysis of Air Navigation Service Providers in European Zone: COVID-19 Crisis
Authors: ÖLÇEN Olcay , ALNIPAK Serdar
Published: February 2023

The civil aviation sector is important for the logistics system. Besides, Air Navigation Service Providers (ANSP) are one of the main parts of the total civil aviation system. This study is about their profitability structure and assessment of performance. Out of the general and classical ratios such as ROA and ROE, authors utilized 13 different profitability ratios to understand the general picture of ANSP in the context of profitability performance by using GRA and MABAC methods. Analysis were made for 34 airport service providers from different countries with annual data between 2017 and 2020. The findings show that COVID-19 crisis has got a deep impact on ANSP’s profitability structures in general and by firms. Besides it is seen that the most profitable companies are Turkish, Georgian and Estonian ANSP.
Modelling and fuzzy logic based control scheme for a series hybrid electric vehicle
Authors: UYSAL Latif Kasım , ALTIN Necmi
Published: February 2023

Ever stricter emission regulations, declining petroleum resources, increasing pollution, and global warming triggered an interest in e-mobility. Although fully electrified transportation is targeted, hybrid electric vehicles have become attractive during this transition period due to reasons such as battery challenges, range anxiety, grid capacity, and charging infrastructure. Hybrid electrical vehicles require challenging energy management systems due to the increasing number of components and energy conversions. This paper aims to introduce a simple yet effective control scheme to control the battery state-of-charge (SOC) and regenerative braking of a hybrid electric vehicle. For this purpose, a fuzzy logic controller is developed, three inputs as the SOC, driver demand, and vehicle velocity are defined. Instead of torque or power requirement, which are commonly used as controller inputs in the literature, a more straightforward method is adopted by using the accelerator and brake pedal positions. The controller manages the engine power and regenerative braking intensity. A series hybrid electric vehicle model is created in the MATLAB/Simulink environment to validate the performance of the proposed controller. The proposed controller aims to keep the SOC between 30-40% after charge depleting mode, and ensures prevention of regenerative braking at high SOC values to prevent overcharging. Simulations have been performed according to NEDC and WLTC, show that the proposed controller is able to realize design objectives.
Pengendalian Kualitas Produk Kain Grey Dengan Metode New Seven Tools Pada PT Djohartex
Authors: Lafeniya Sari Dewi Ayu , Suseno Suseno
Published: February 2023

Masalah: Perusahaan PT. Djohartex bergerak di bidang produksi kain grey, pada bulan September 2022 jumlah produksi yang dihasilkan 1.792.208-yard dengan kecacatan sebanyak 484.180-yard atau 27,015%. Permasalahan pada perusahaan yaitu terdapat kecacatan pada kain grey yang tidak sesuai dengan standar perusahaan.

Tujuan: Penelitian ini bertujuan untuk mengetahui fakto-faktor penyebab kecacatan dan mengetahui jenis cacat yang paling tinggi. 

Metodologi: Penelitian dilakukan dengan menggunakan metode Seven New Quality Tools digunakan sebagai metode untuk memperbaiki kekurangan Seven Basic Quality Tools. New Seven Tools merupakan peralatan untuk memetakan permasalahan secara terperinci untuk membantu pengambilan keputusan. New Seven Tools of Quality yang mencakup Activity Network Diagram, Affinity Diagram, Interrelationship Diagram, Tree Diagram, Matrix Diagram, Matrix Data Analysis dan Process Decision Program Chart (PDPC). Jenis defect paling banyak adalah jenis rapat/renggang sebanyak 88502, diikuti dengan jenis defect pakan kendor dengan total defect 42624, baar dengan total defect 43657, temple mark dengan total defect 28689, read mark dengan total defect 350895, pakan tak sampai dengan total defect 12048, dan nggaler tempel dengan total defect 281530.

Temuan/Hasil Penelitian: Hasil dari penelitian ini menunjukkan adanya faktor penyebab terjadinya cacat yaitu Manusia, kurangnya pemahaman pekerja terhadap SOP (Standard Operation Procedure) dengan baik, operator kurang konsentrasi. Mesin, kurang perawatan pada mesin dan pengecekan produktivitas pada mesin setiap bulannya. Metode, Cara pengambilan pakan dalam produksi masih salah. Material, penggunaan benang pakan yang mudah rapuh. Lingkungan, suara bising yang membuat karyawan kurang nyaman dalam bekerja.

Jenis Penelitian: Pengendalian Kualitas Produk

Kata Kunci: New Seven Tools, Kualitas, Kain Grey, Produk Cacat
Pendampingan Pemanfaatan Teknologi dalam Desain Pembelajaran Daring Bagi Guru Pada Masa Pandemi Covid-19
Authors: Asrori Mohammad , Wibowo Agus Mukti , Erfantinni Imroatul Hayyu , Wahyuningtyas Dessy Putri
Published: February 2023

This global pandemic situation demands various changes in the world of education, including in the teaching and learning process which must be done online through online learning media. Many teachers have difficulties in this regard, one of which is the MGMP PAI SMK Blitar Regency. Therefore, this research will assist in the use of various applications that can help online learning at the MGMP PAI SMK in Blitar Regency. In this research-based service, the researcher es the Participatory Action Research approach, starting with planning; action; evaluation; reflection. This research is used for development solutions, in this case concerning Digital Application-Based Learning Service Development solutions. The activities carried out began with a need assessment in the form of an FGD between the Research Team and the MGMP PAI SMK Blitar Regency and the Ministry of Religion of Blitar Regency. The results of this research-based dedication conclude the importance of organizing training and mentoring in the use of online learning technology to meet the needs of PAI SMK teachers throughout Blitar Regency. The materials that enforce training and mentoring include: teleconference applications, learning video applications, and online learning evaluation applications. Then the team conducted a periodic mentoring evaluation process by forming a telegram group, WA group, and google classroom.
Pengaruh Kualitas Pelayanan dan Fasilitas terhadap Kepuasan Pelanggan Ahass Daya Motor Surabaya
Authors: Arifin Syamsul , Anisa Nur Aini , Utomo Priyo
Published: February 2023

This study aims to describe the analysis of customer satisfaction at AHASS Daya Motor in 2020-2021. The data collection technique used is the documentation technique. The data analysis technique used is quantitative descriptive analysis technique. The result of this marketing strategy research are based on four main elements, namely product, price, place, promotion which are determined to be successful. The theory of customer behavior consists of four theories, namely microeconomic theory, psychological theory, sociological theory, and anthropological theory. The factors influencing service quality consist of tangible, reability, responsiveness, assurance, empathy. Benefits provided to customers by trying to understand consumers desires. So that each company is expected to have understanding and knowledge about customers, understand customer needs specifically, and have comfortable operating times for customers.
Edu-Ecotourism Development Strategies Mapping
Authors: Kurniawan Taufiq , Solihin Riadatus , Putri Widya Ananda
Published: February 2023

This study aims to find alternative strategies in developing the potential of Edu-ecotourism in Batudulang Village, Sumbawa Regency. This research begins by identifying the existing potency and analyzing the supporting and inhibiting factors, as well as identifying the opportunities that exist by using the SOAR analysis technique. This research employs descriptive qualitative. Data collection techniques used are field observations, interviews, and documentation. Determination of informants was also obtained by purposive sampling technique. The strategy from the results of this analysis is to develop all potencies that exists, both of natural resources such as biodiversity (flora and fauna) and the beauty of the landscape, as well as of the natural topography of the earth and the culture around the community that can be utilized. The Edu-ecotourism development strategy in Batudulang Village, Batulanteh District, Sumbawa Regency will be further discussed.
The Influence of Social Media on Teenagers' Lifestyles: Behavioral Analysis Among Adolescents in Bandung
Authors: Achmad Willya , Sudrajat Ade , Faiza Shinas , Ollianti Reni Novita
Published: February 2023

Learning activities can be disrupted due to students' dependence on social media because more time is used to access social media than studying and to support the lifestyle of teenagers in general. This study aims to determine the effect of social media on the lifestyle of adolescents among young students in the city of Bandung. The method used is a survey with a simple random sampling technique. The results of the study show that the use of social media has a positive and significant influence on the lifestyle of adolescents in the city of Bandung by 43%. The practical implication of this research is the importance of socialization about the healthy and wise use of social media for adolescents.
Studi Literatur: STEM untuk Menumbuhkan Keterampilan Abad 21 di Sekolah Dasar
Authors: Rusminati Susi Hermin , Juniarso Triman
Published: February 2023

Education is the main foundation of a country. The use of STEM in learning is an effort made so that students can apply 21st century skills. This study aims to examine and explore the application of STEM in learning and its impact on 21st century skills. The method used in this study is a systematic literature study and in accordance with the discussion, namely about STEM and 21st century skills. Based on the results of a systematic review of literature, STEM learning design can be used as an acternative by teachers in carrying out the learning process so that it can meet 21st century skills, namely critical thinking and problem solving, creative thinking, communication, and collaboration.
Pengaruh Kemampuan Mengelola Emosi terhadap Konsentrasi Belajar Siswa di SMA Negeri 3 Kota Jambi
Authors: Qodriyah Qodriyah , Sutja Akmal , Wahyuni Hera
Published: February 2023

This study aims to reveal how big the percentage of the ability to manage emotions and concentration in learning, as well as the influence of the ability to manage emotions on the concentration of students in SMA Negeri 3 Jambi City. Concentration of learning, namely the ability of students to focus on thoughts and actions during the learning process by setting aside unrelated things. The ability to manage emotions is the ability of individuals to handle their emotions so that they can be expressed appropriately and do not interfere with their activities. This type of research is quantitative with the ex post facto method of data collection techniques, namely using a questionnaire with validity and reliability tests to determine the determination of the instrument. The data analysis technique used Formula C, normality test, linearity test, simple regression analysis with the help of SPSS 25. The sampling technique used stratified random sampling with a total sample of 266 students of class X and XI. The findings of this study can be concluded that in general the ability to manage students' emotions includes recognizing emotions, knowing the causes of emotions, being able to find alternative ways of dealing with emotions, being able to determine how to deal with emotions, emotions expressed appropriately are at a moderate percentage (59%), student learning concentration which includes concentrating, paying attention and carrying out learning according to the objectives is at a moderate percentage (57%). The influence between the two variables is classified as quite strong (23.2%). Guidance and counseling teachers should be able to assist students in maintaining and improving their ability to manage their emotions so that student learning concentration can also be even better.
СТРИМУВАННЯ АНТИБІОТИКОРЕЗИСТЕНТНОСТІ ТА ПЕРСПЕКТИВИ ВИКОРИСТАННЯ АУТОГЕННИХ ВАКЦИН У ВЕТЕРИНАРНІЙ МЕДИЦИНІ
Authors: Ушкалов В. О. , Салманов А. Г. , Виговська Л. М. , Мачуський О. В. , Кассіч В. Ю , Романько М. Є. , Протченко Н. І. , Курись М.М. , Січкар Б. В.
Published: February 2023

Дослідження передбачали аналіз небезпеки для громадського здоров’я поширення мікроорганізмів, стійких до протимікробних препаратів, та перспектив використання аутогенних імунобіологічних препаратів як альтернативи антимікробним засобам. Для аналізу використовували інформаційні Internet ресурси наукових журналів, нормативно-правові акти України, а також бази даних WHO – Всесвітньої організації охорони здоров’я, WOAH – Всесвітньої організації здоров’я тварин, FAO – Продовольчої та сільськогосподарської організації, СDС - Центру з контролю та профілактики захворювань США, ECDC – Європейського центру по нагляду та попередженню захворювань, EFSA – Європейського відомства з безпеки харчових продуктів, EUCAST – Європейського комітету з тестування чутливості до антимікробних препаратів, тощо.
Проведено аналіз даних щодо поширення стійкості до антимікробних препаратів та небезпеку для світової системи охорони здоров’я. Поширення мікроорганізмів стійких до дії протимікробних препаратів реєструється в усьому світі, ставлячи під загрозу можливості для ефективного лікування інфекційних хвороб і зводять на ніщо інші досягнення в галузі охорони здоров'я та медицини, зокрема – ветеринарної. У результаті запровадження заходів щодо оптимізації використання антибіотиків, згідно даним ECDC, виявляються позитивні тренди щодо поширення антибіотикорезистентності у індикаторних видів мікроорганізмів. В Україні, як і в інших розвинутих країнах світу, на законодавчому рівні прийняті суворі регламенти щодо обігу антимікробних засобів, що неминуче веде до обмеження їх використання. Міжнародний досвід свідчить про те, що обмеження застосування протимікробних засобів доцільно компенсувати заходами спрямованими на підвищення рівня біобезпеки, зокрема шляхом застосування аутогенних імунобіологічних препаратів для специфічної профілактики інфекційних хвороб бактеріальної етіології.
Засвідчено, що запровадження нових правил щодо обігу ветеринарних антимікробних засобів і лікувальних кормів, суттєво вплинуть на рівень використання протимікробних препаратів в найближчим часом.
Компенсувати використання антимікробних препаратів при виробництві продукції тваринництва можливо шляхом запровадження заходів спрямованих на підвищення рівня біобезпеки, зокрема альтернативою протимікробним засобам є використання аутогенних імунобіологічних препаратів.
Diagnostic Value of SMARCE1 and CRISP3 Combined with Tumor Markers in Cervical Cancer
Authors: He Lijie , Wang Jing , Zhang Heping
Published: February 2023

Background: To investigate the diagnostic value of SMARCE1, cysteine-rich secreted protein 3 (CRISP3) combined with tumor markers in the diagnosis of cervical cancer. Methods: A total of 80 patients with cervical lesions who were diagnosed and treated in our hospital from January 2020 to March 2022 were selected and divided into control group (chronic cervicitis, n = 30) and observation group (cervical cancer, n = 50). Immunohistochemistry was used to detect the expression levels of SMARCE1 and CRISP3 in cervical tissue of the two groups of subjects, and the relationship between the expression of SMARCE1 and CRISP3 in cervical cancer tissue and the clinicopathological data of the patients was analyzed. In addition, the serum tumor marker levels of the two groups of subjects were detected, and the diagnostic value of SMARCE1 and CRISP3 combined with tumor markers in cervical cancer was analyzed. The female sexual function index (FSFI) and the functional assessment of cancer therapy-general (FACT-G) score were used to evaluate female sexual function and quality of life. Results: The positive expression rates of SMARCE1 and CRISP3 in the observation group were significantly higher than those in the control group (p < 0.05). There was no significant difference in the positive expression of SMARCE1 and CRISP3 among cervical cancer patients with age, lymph node metastasis and tumor node metastasis (TNM) classification stage (p > 0.05), and the lower the degree of tumor differentiation, the higher the positive expression rate of SMARCE1 and CRISP3 proteins (p < 0.05). The serum levels of carcinoembryonic antigen (CEA), carbohydrate antigen (CA) 125 and CA153 in the observation group were significantly higher than those in the control group (p < 0.05). The results of the receiver operating characteristic (ROC) curve analysis showed that the area under curve (AUC) values of SMARCE1, SMARCE1 + tumor markers, CRISP3, CRISP3 + tumor markers, SMARCE1, CRISP3 combined with tumor markers for the diagnosis of cervical cancer were 0.760, 0.851, 0.739, 0.810, and 0.944, respectively. Conclusions: SMARCE1 and CRISP3 are expressed in patients with cervical cancer, and CEA, CA125, and CA153 are expressed at high levels in the serum of patients with cervical cancer. The combined detection of SMARCE1 and CRISP3 combined with tumor markers has high clinical diagnostic value for cervical cancer.
Parametric and Semiparametric Approaches to Analyzing Device-Based Measures of Energy Expenditure in Zucker Diabetic Fatty Rats
Authors: Kim Hyunkyoung , Luan Yuanyuan , Zoh Roger S. , Wu Guoyao , Tekwe Carmen D.
Published: February 2023

Background: Obesity results from a chronic imbalance between energy intake and energy expenditure. Total energy expenditure for all physiological functions combined can be measured approximately by calorimeters. These devices assess energy expenditure frequently (e.g., in 60-second epochs), resulting in massive complex data that are nonlinear functions of time. To reduce the prevalence of obesity, researchers often design targeted therapeutic interventions to increase daily energy expenditure. Methods: We analyzed previously collected data on the effects of oral interferon tau supplementation on energy expenditure, as assessed with indirect calorimeters, in an animal model for obesity and type 2 diabetes (Zucker diabetic fatty rats). In our statistical analyses, we compared parametric polynomial mixed effects models and more flexible semiparametric models involving spline regression. Results: We found no effect of interferon tau dose (0 vs. 4 μg/kg body weight/day) on energy expenditure. The B-spline semiparametric model of untransformed energy expenditure with a quadratic term for time performed best in terms of the Akaike information criterion value. Conclusions: To analyze the effects of interventions on energy expenditure assessed with devices that collect data at frequent intervals, we recommend first summarizing the high dimensional data into epochs of 30 to 60 minutes to reduce noise. We also recommend flexible modeling approaches to account for the nonlinear patterns in such high dimensional functional data. We provide freely available R codes in GitHub.
A Computational Approach in the Diagnostic Process of COVID-19: The Missing Link between the Laboratory and Emergency Department
Authors: Lanzilao Luisa , Mariniello Antonella , Polenzani Bianca , Aldinucci Alessandra , Nazerian Peiman , Prota Alessio , Grifoni Stefano , Tonietti Barbara , Neri Chiara , Turco Livia , Fanelli Alessandra , Amedei Amedeo , Stanghellini Elena
Published: February 2023

Background: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the COVID-19 pandemic and so it is crucial the right evaluation of viral infection. According to the Centers for Disease Control and Prevention (CDC), the Real-Time Reverse Transcription PCR (RT-PCR) in respiratory samples is the gold standard for confirming the disease. However, it has practical limitations as time-consuming procedures and a high rate of false-negative results. We aim to assess the accuracy of COVID-19 classifiers based on Arificial Intelligence (AI) and statistical classification methods adapted on blood tests and other information routinely collected at the Emergency Departments (EDs). Methods: Patients admitted to the ED of Careggi Hospital from April 7th–30th 2020 with pre-specified features of suspected COVID-19 were enrolled. Physicians prospectively dichotomized them as COVID-19 likely/unlikely case, based on clinical features and bedside imaging support. Considering the limits of each method to identify a case of COVID-19, further evaluation was performed after an independent clinical review of 30-day follow-up data. Using this as a gold standard, several classifiers were implemented: Logistic Regression (LR), Quadratic Discriminant Analysis (QDA), Random Forest (RF), Support Vector Machine (SVM), Neural Networks (NN), K-nearest neighbor (K-NN), Naive Bayes (NB). Results: Most of the classifiers show a ROC >0.80 on both internal and external validation samples but the best results are obtained applying RF, LR and NN. The performance from the external validation sustains the proof of concept to use such mathematical models fast, robust and efficient for a first identification of COVID-19 positive patients. These tools may constitute both a bedside support while waiting for RT-PCR results, and a tool to point to a deeper investigation, by identifying which patients are more likely to develop into positive cases within 7 days. Conclusions: Considering the obtained results and with a rapidly changing virus, we believe that data processing automated procedures may provide a valid support to the physicians facing the decision to classify a patient as a COVID-19 case or not.
Pathological Pathways and Alpha-Synuclein in Parkinson's Disease: A View from the Periphery
Authors: Basellini Milo Jarno , Kothuis Josine Marie , Comincini Alessandro , Pezzoli Gianni , Cappelletti Graziella , Mazzetti Samanta
Published: February 2023

Alpha-synuclein inclusions are the distinctive trait of brain areas affected by neurodegeneration in Parkinson’s disease (PD). Nevertheless, PD is now considered as a multisystemic disorder, since alpha-synuclein pathology has been described also outside the central nervous system. In this regard, the early, non-motor autonomic symptoms point out an important role for the peripheral nervous system during disease progression. On this basis, we propose a review of the alpha-synuclein-related pathological processes observed at peripheral level in PD, starting from molecular mechanisms, through cellular processes to systemic modifications. We discuss their relevance in the etiopathogenesis of the disease, suggesting they are concurrent players in the development of PD, and that the periphery is an easily-accessible window to look at what is occurring in the central nervous system.
Fate Determination and Characterization of Food Additive Silicon Dioxide and Titanium Dioxide in Commercial Foods
Authors: Kwon Ri-Ye , Kim Su-Bin , Youn Su-Min , Choi Soo-Jin
Published: February 2023

Background: Silicon dioxide (SiO2) and titanium dioxide (TiO2) are ones of the most widely used food additives as an anti-caking and a coloring agent, respectively, in the food industry. Understanding particle, aggregate, or ionic fates of two additives in commercial products is of importance to predict their potential toxicity. Methods: Triton X-114 (TX-114)-based cloud point extraction (CPE) methods for two additives were optimized in food matrices. Their particle or ionic fates in various commercial foods were determined by the CPE, and the physico-chemical properties of separated particles were further characterized. Results: SiO2 and TiO2 were primarily present as particle forms without changes in constituent particle size, size distribution, and crystalline phase. The maximum solubilities of SiO2 and TiO2 were 5.5% and 0.9%, respectively, depending on food matrix type, supporting their major particle fates in complex food matrices. Conclusions: These findings will provide basic information about the fates and safety aspects of SiO2 and TiO2 additives in commercial processed foods.
To Investigate the Occurrence and Development of Colorectal Cancer Based on the PI3K/AKT/mTOR Signaling Pathway
Authors: Zhong Jiateng , Ding Shuang , Zhang Xinyu , Di Wenyu , Wang Xiaohui , Zhang Hui , Chen Yiyang , Zhang Yongxi , Hu Yuhan
Published: February 2023

Colorectal cancer (CRC) is the most common malignancy of the gastrointestinal, however, the underlying mechanisms of CRC remain largely unknown. New evidence suggests that the PI3K/AKT/mTOR pathway is closely related to CRC. PI3K/AKT/mTOR is a classical signaling pathway that is involved in a variety of biological processes, such as regulating cellular metabolism, autophagy, cell cycle progression, cell proliferation, apoptosis, and metastasis. Therefore, it plays a crucial role in the occurrence and development of CRC. In this review, we focus on the role of the PI3K/AKT/mTOR pathway in CRC, and its application of to the treatment of CRC. We review the importance of the PI3K/AKT/mTOR signaling pathway in tumorigenesis, proliferation and progression, and pre-clinical and clinical experience with several PI3K/AKT/mTOR pathway inhibitors in CRC.
Lycium barbarum Ameliorates Neural Damage Induced by Experimental Ischemic Stroke and Radiation Exposure
Authors: Huang Yan , Zhang Xing , Chen Ling , Ren Bo Xu , Tang Feng Ru
Published: February 2023

Ischemic stroke and cranial radiotherapy may induce brain inflammatory response, oxidative stress, apoptosis and neuronal loss, and impairment of neurogenesis. Lycium barbarum has anti-oxidation, anti-inflammatory, anti-tumor and anti-aging properties, may produce both neuroprotective and radioprotective effects. In this narrative review paper, we described the neuroprotective effect of Lycium barbarum in different animal models of experimental ischemic stroke and limited studies in irradiated animal models. Relevant molecular mechanisms are also summarized. It has been shown that in experimental ischemic stroke models, Lycium barbarum produces neuroprotective effects by modulating neuroinflammatory factors such as cytokines and chemokines, reactive oxygen species, and neurotransmitter and receptor systems. In irradiation animal models, Lycium barbarum prevents radiation-induced loss of hippocampal interneurons. Given its minimal side-effects, these preclinical studies suggest that Lycium barbarum may be a promising radio-neuro-protective drug that can be used as an adjunct treatment to radiotherapy for brain tumor and in the treatment of ischemic stroke. At molecular levels, Lycium barbarum may regulate PI3K/Akt/GSK-3β, PI3K/Akt/mTOR, PKCε/Nrf2/HO-1, keap1-Nrf2/HO-1, and NR2A and NR2B receptor- related signal transduction pathways to produce neuroprotective effects.
Dynamic Changes of Behavioral Despair, HPA Axis Activity, and Hippocampal Neurogenesis in Male Rats Induced by Social Defeat Stress
Authors: Harada Hiroyoshi , Mori Masayoshi , Murata Yusuke , Kawanabe Shunsuke , Terada Kazuki , Matsumoto Taichi , Ohe Kenji , Enjoji Munechika
Published: February 2023

Background: Psychosocial stress factors, such as threat and defeat, are major risk factors for the development of depression. The precise mechanisms underlying stress-induced depression are not clearly understood because the stress response in the brain varies in a stress-frequency-dependent manner. In the current research milieu on the pathogenesis of depression, the focus is on depression-like behavioral phenotype, hypothalamic-pituitary-adrenal (HPA) axis, and hippocampal neurogenesis. However, most studies have evaluated the symptomatic features of depression at certain time points after exposure to psychosocial stress. Here, we examined the frequency-dependent effects of psychosocial stress on depression-related features in rats. Methods: In the present study, different frequencies (one, two, three, or four times) of psychosocial stress were applied to 19 male Sprague-Dawley rats using a resident/intruder paradigm. Subsequently, the rats were subjected to a stress reactivity test to evaluate HPA axis activity, following which assessments of immobility behavior in the forced swimming test (FST) and adult neurogenesis were conducted. Results: One-time stressed rats showed a decrease in immobility behavior in the FST and the amount of doublecortin (DCX)-positive cells. Two-time stress caused hypoactivity of the HPA axis. In contrast, immobility behavior and HPA axis activity were increased after four-time stress exposure, but the number of DCX-positive cells was decreased. Conclusions: Our findings suggest that psychosocial stress produces a biphasic effect on the symptoms of depression in a stress-frequency-dependent manner, which could provide insights to facilitate further pathogenesis research on depression.
Impacts of Diabetes Mellitus on Cardiovascular Outcomes and Differential Effects of Direct Oral Anticoagulants in Patients with Left Ventricular Thrombus
Authors: Shi Boqun , Zhang Rui , Song Chenxi , Cui Kongyong , Zhang Dong , Jia Lei , Yin Dong , Wang Hongjian , Dou Ke-Fei , Song Weihua
Published: February 2023

Background: The focus of this investigation into the impact of type 2 diabetes mellitus (T2DM) on left ventricular thrombus (LVT) is (a) the differences in LVT characteristics, (b) long-term clinical outcomes, and (c) differential effects of direct oral anticoagulants (DOAC) among patients with T2DM and without diabetes. Methods: Patients with confirmed LVT from 2009 to 2021 were included. The primary endpoints were major adverse cardiac and cerebrovascular events (MACCE), composite of cardiovascular death, ischemic stroke, and acute myocardial infarction (AMI). The secondary endpoints were all-cause death and cardiovascular death. Multivariable competing-risk regression and cumulative incidence functions (CIF) were used to evaluate the adverse consequences. Results: In total, 1675 patients were assessed initially. Follow-up data were available for 91.1% of the participants. Median follow-up was 3.8 years. This retrospective study ultimately comprised 1068 participants, of which 429 had T2DM. Significantly higher proportions of comorbidities were observed in the T2DM group. The location, morphology, and size of LVT were similar in the two groups. Multivariable analysis suggested a higher risk of MACCE among patients with T2DM. The difference in risk between the two groups after matching and weighting was not statistically significant. Among the whole sample (n = 638) or the just the non-diabetic patients with LVT and anticoagulation (n = 382), the incidence of MACCE did not differ between DOAC treatment and warfarin treatment. In the diabetic LVT population with anticoagulation (n = 256), DOAC treatment was associated with a significantly higher risk of MACCE than was warfarin treatment. Conclusions: The location and morphology of LVT are similar in T2DM and non-diabetic patients. A higher risk of MACCE was found among patients with diabetes.
Research Progress towards the Effects of Fatty Acids on the Differentiation and Maturation of Human Induced Pluripotent Stem Cells into Cardiomyocytes
Authors: GAO Zhen , ZHOU Fan , MU Junsheng
Published: February 2023

The incidence of cardiovascular disease has been continuously increasing. Because cardiomyocytes (CM) are non-renewable cells, it is difficult to find appropriate CM sources to repair injured hearts. Research of human induced pluripotent stem cell (hiPSC) differentiation and maturation into CM has been invaluable for the treatment of heart diseases. The use of hiPSCs as regenerative therapy allows for the treatment of many diseases that cannot be cured, including progressive heart failure. This review contributes to the study of cardiac repair and targeted treatment of cardiovascular diseases at the cytological level. Recent studies have shown that for differentiation and maturation of hiPSCs into CMs, fatty acids have a strong influence on cellular metabolism, organelle development, expression of specific genes, and functional performance. This review describes the recent research progress on how fatty acids affect the differentiation of hiPSCs into CMs and their maturation.
Technological Advances to Address the Challenging Abdominal Aortic Aneurysm Neck
Authors: George Justin M , Hatzis Christopher M , Choinski Krystina N , Tadros Rami O , Faries Peter L , Marin Michael L
Published: February 2023

There have been significant technologic advances in endovascular aortic therapies since the introduction of conventional infrarenal endovascular aortic aneurysm repair (EVAR). These advances have sought to address the weaknesses of conventional EVAR- particularly the difficult or “hostile” infrarenal aortic aneurysm neck. We review anatomical features that create a hostile neck and the most recent advancements to overcome these limitations. EndoAnchors replicate open suture fixation to seal endograft to aortic tissue and have been shown to be useful as a prophylactic measure in short, angulated necks as well as therapeutic for type Ia endoleaks. Fenestrated EVAR (FEVAR) devices such as the Z-fen (Cook Medical, Bloomington, IN, USA) raises the seal zone to the suprarenal segment while maintaining renal perfusion. Finally, multibranch aortic grafts such as the Thoracoabdominal Branch Endoprosthesis (Tambe; W. L. Gore & Associates, Flagstaff, AZ, USA) raise the seal zone above the visceral segment and can be used off the shelf with promising results.
TEACHING HIGHER MATHEMATICS BASED ON COMPETENCE-BASED AND THESAURUS APPROACHES
Authors: Kushmurotov Umurbek
Published: February 2023

Formulation of the problem. The requirement to increase the level of mathematical training of future engineers and reduce the number of hours devoted to teaching higher mathematics gives rise to the task of developing and improving the methodology for teaching higher mathematics. The purpose of this article is to describe the methodology for teaching higher mathematics based on the thesaurus approach.
Materials and methods. The research materials are pedagogical and methodical literature, and experiences of foreign and domestic scientists. In the course of the study, general scientific methods (analysis, synthesis, concretization, systematization, and generalization) were used.
Results. The thesaurus approach to learning helps to clarify the mathematical competence of a particular topic, the basis of educational information is the educational thesaurus, the student's lexicon necessary for the optimal distribution of educational information by type of training session and the development of didactic materials, the choice of methods and forms of education.
Conclusions. Determining the content of the educational thesaurus of a specific topic of higher mathematics helps to clearly describe the mathematical competencies of the relevant topic, the stages of its formation, analyze and clarify the necessary educational information, distribute it by type of lesson (lecture, practical lesson, self-study). Determining the student's vocabulary necessary for mastering a new topic helps to determine the methodology and means of teaching, in particular, to develop auxiliary tasks and questions for updating the student's vocabulary, to establish successive links between the educational thesaurus and the student's vocabulary, to implement a differentiated approach to learning. The proposed methodology has the properties of flexibility, additions, and modifications depending on the learning objectives and specific academic group. Further research is needed on the effective use of the thesaurus approach in the process of teaching higher mathematics.
ПЕРСПЕКТИВНІ ТЕХНОЛОГІЇ З ЕЛЕМЕНТАМИ ШТУЧНОГО ІНТЕЛЕКТУ ДЛЯ ПРОФЕСІЙНОГО РОЗВИТКУ ПЕДАГОГІЧНИХ КАДРІВ
Authors: Шишкіна Марія , Носенко Юлія
Published: February 2023

Формулювання проблеми. Наразі освіта проходить складний етап модернізації, зумовлений повсюдним поширенням цифрових технологій, розбудовою Суспільства 4.0. Відзначається необхідність модернізації освітнього середовища педагогічних закладів, приведення його у відповідність сучасним досягненням. Вирішення завдань формування в педагогічних закладах високотехнологічного освітнього середовища є суттєвою передумовою підготовки фахівців, здатних до ефективного застосування сучасних цифрових технологій у професійній діяльності.
Матеріали і методи. Застосовано теоретичні методи, зокрема, аналіз синтез, узагальнення нормативної бази, законодавчих документів, стратегій, концепцій України та закордонних держав, дослідницьких робіт вітчизняних і закордонних науковців, експертів. Застосовано прогностичний підхід для визначення шляхів подальших наукових досліджень за напрямом.
Результати. Розглянуто основні перспективні цифрові технології, доцільні для використання в професійному розвитку вчителів: хмарні обчислення, імерсивні технології, технології з елементами штучного інтелекту. Виокремлено тенденції, що нині характеризують перспективні напрями розвитку та використання сучасних технологій персоніфікації навчання. Визначено передумови для досягнення ефективності використання AR/VR, у т.ч. з елементами штучного інтелекту. Надано рекомендації щодо напрямів використання сучасних перспективних технологій, у т.ч. з елементами штучного інтелекту, для професійного розвитку вчителів.
Висновки. Основною відмінністю освітніх систем нового покоління від попередніх автоматизованих засобів навчання, є вищий рівень адаптивності. Це досягається за рахунок організації більш гнучкого та відкритого освітнього середовища з використанням гібридних хмарних рішень, технологій AR/VR  з елементами штучного інтелекту, що забезпечують доступ до персоналізованих послуг як індивідуально, так і колективно. Впровадження в освітнє середовище цифрових технологій з елементами штучного інтелекту вважаємо перспективним напрямом покращення підготовки педагогічних кадрів. Доцільно продовжити дослідження в напрямі розроблення відповідних моделей і методик проєктування та використання освітнього середовища з елементами штучного інтелекту.
ПІДГОТОВКА МАЙБУТНІХ УЧИТЕЛІВ МАТЕМАТИКИ ТА ІНФОРМАТИКИ ДО ВИКОРИСТАННЯ ЗАСОБІВ ВІРТУАЛЬНОЇ НАОЧНОСТІ У ПРОФЕСІЙНІЙ ДІЯЛЬНОСТІ: ОБҐРУНТУВАННЯ ОРГАНІЗАЦІЙНИХ УМОВ
Authors: Мулеса Павло
Published: February 2023

Для підготовки вчителя важливо не лише досягти успіху освітнього процесу одномоментно, а й забезпечити ефективність його організації в часі, тому актуальною для успіху освітнього процесу професійної підготовки є обґрунтування специфічних організаційних вимог. Тому метою статті стало обґрунтування організаційних умов підготовки майбутніх учителів математики та інформатики до використання засобів віртуальної наочності у професійній діяльності. Проведено термінологічний аналіз поняття «організаційні умови». Наведено приклади організаційних умов фахівців різних спеціальностей. Представлено результати систематизації науково-методичних праць, яка не виявила таких, що забезпечують успішну підготовку майбутніх учителів математики та інформатики до використання засобів віртуальної наочності у професійній діяльності. Узагальнення результатів сприяло виокремленню 10 потенційних організаційних умов успішної майбутніх учителів математики та інформатики до використання засобів віртуальної наочності у професійній діяльності. За результатами експертної оцінки (ранжування організаційних умов експертами) обґрунтовано, що підготовка майбутніх учителів математики та інформатики до застосування засобів віртуальної наочності у професійній діяльності потребує дотримання організаційних умов: організація інформаційно-цифрового освітнього середовища ЗВО; організація квазіпрофесійної діяльності з використанням засобів віртуальної наочності; організація постійної комунікації зі стейкголдерами для усвідомлення потреби опанування засобів віртуальної наочності; організація самостійної роботи з опанування засобів віртуальної наочності через неформальну освіту.
Dynamics of Secondary Electron Cascades in KI and CsI
Authors: Vishwanath Manish
Published: February 2023

The features of secondary electron cascades in two photocathode materials, KI and CsI, are investigated. Toaccomplish so, we used a model that allows us to explicitly follow electron trajectories once the dielectric parametershave been semiempirically obtained from the energy loss function. Furthermore, we offer a model modification in whichthe energy loss function is derived first-principles using the GW approximation for the electrons' self-energy. We find thatthe two techniques accord rather well. Our findings reveal that the saturation periods and secondary electron yields for thecascades in the two materials are comparable, and that KI has a smaller electron energy distribution (51 percent) than CsI.
Distant temperature and humidity monitoring: prediction and measurement
Authors: Hafeez Farrukh
Published: February 2023

Sensing environmental measuring parameters has a pivotal role in our everyday lives. Most of our daily life activities depend upon environmental conditions. Accurate information about these parameters also helps in several industrial applications like ventilation rate calculation, energy prediction, stock maintenance in warehouses, and saving from harmful conditions. The emergence of machine learning can make it easy to predict such time series problems. This paper describes the design of a remotely controlled robotic car for measuring and predicting humidity and temperature. A customized app for accessing the robotic car is designed to indicate predicted and real- time measured values of humidity and temperature. A sensor installed built- in helps in the measurement. The recurrent neural network (RNN) model is used to predict humidity and temperature. For this purpose, experiments are carried out in both outdoor and indoor settings. Accuracy of 85% and 90% is achieved in an outdoor environment and indoor settings
Heart rate monitoring to detect acute pain in non-verbal patients: A study protocol for a randomized controlled clinical trial
Authors: Kildal Emilie Smith-Meyer , Quintana Daniel S , Szabo Attila , Tronstad Christian , Andreassen Ole A. , Nærland Terje , Hassel Bjørnar
Published: February 2023

Background: Autism entails reduced communicative abilities. Approximately 30% of individuals with autism have intellectual disability (ID). Some people with autism and ID are virtually non-communicative and unable to notify their caregivers when they are in pain. In a pilot study, we showed that heart rate (HR) monitoring may identify painful situations in this patient group, as HR increases in acutely painful situations. Objectives: This study aims to generate knowledge to reduce the number of painful episodes in non-communicative patients’ everyday lives. We will 1) assess the effectiveness of HR as a tool for identifying potentially painful care procedures, 2) test the effect of HR-informed changes in potentially painful care procedures on biomarkers of pain, and 3) assess how six weeks of communication through HR affects the quality of communication between patient and caregiver. Methods: We will recruit 38 non-communicative patients with autism and ID residing in care homes. Assessments: HR is measured continuously to identify acutely painful situations. HR variability and pain- related cytokines (MCP-1, IL-1RA, IL-8, TGFβ1, and IL-17) are collected as measures of long-term pain. Caregivers will be asked to what degree they observe pain in their patients and how well they believe they understand their patient’s expressions of emotion and pain. Pre-intervention: HR is measured 8 hours/day over 2 weeks to identify potentially painful situations across four settings: physiotherapy, cast use, lifting, and personal hygiene. Intervention: Changes in procedures for identified painful situations are in the form of changes in 1) physiotherapy techniques, 2) preparations for putting on casts, 3) lifting techniques or 4) personal hygiene procedures. Design: Nineteen patients will start intervention in week 3 while 19 patients will continue data collection for another 2 weeks before procedure changes are introduced. This is done to distinguish between specific effects of changes in procedures and non- specific effects, such as caregivers increased attention. Discussion: This study will advance the field of wearable physiological sensor use in patient care. Trial registration: Registered prospectively at ClinicalTrials.gov (NCT05738278)
Coevolution with artificial intelligence: are we at the start of a new era for academic publishing?
Authors: Vuong Quan-Hoang , La Viet-Phuong , Nguyen Minh-Hoang , Jin Ruining , Le Tam-Tri
Published: February 2023

•Academia needs to adapt to a more AI-integrated system, but we should be careful of new forms of resource-based inequality.•AI assistance is not a temporary trend, but a tendency of technological progress, which should be treated with cautious openness.•Considering the benefit of AI assistance to researchers, editors and publishers should gain more and make use of AI-based knowledge management skills.•Proactively preparing and exploring AI using a compatible information processing framework is necessary.•NLP AI currently lacks good logic capabilities; in the future it will be integrated into applications with specific purposes, blurring the line between AI and tools.
Whether loot boxes are gambling is a red herring
Authors: Xiao Leon Y. , Henderson Laura L. , Fraser Tullia C. , Nielsen Rune , Newall Philip Warren Stirling
Published: February 2023

Arguing whether loot boxes are gambling is not a useful exercise by this point in time. Psychological research was justified (at least initially) in conceptualising loot box harms as similar to gambling harms. However, it does not follow that loot box regulation must be viewed through a gambling lens. This similarity should no longer distract us from taking action. Answering that question of whether loot boxes are gambling in the affirmative potentially could have been useful to quickly apply existing gambling law to address the loot box issue (when it was a novel issue), rather than to wait for dedicated regulatory responses to pass through protracted legislative processes. However, half a decade has passed since this issue first entered mainstream discourse. Preoccupation with the gambling law approach to loot box regulation overlooks the possibility of using other existing laws (e.g., consumer protection law) to regulate loot boxes and the potential harms of videogame monetisation (including those not involving randomisation) more broadly. Frankly, today, it matters little whether loot boxes are ‘gambling.’ The potential harms of loot boxes need to be addressed regardless of your answer to that question.
Finite and Infinite Geometric Series with Binomial Coefficients
Authors: Annamalai Chinnaraji
Published: February 2023

This paper presents a method to compute the finite and infinite geometric series with binomial coefficients. This idea can enable the scientific researchers to solve the real-world problems.