bluuebunny/crossref_metadata_2025 huggingface dataset:
The U.S. National Library of Medicine and Standards for Electronic Health Records: One Thing Led to Another
Authors: McDonald Clement J. , Humphreys Betsy L.
Published: February 2022

When Donald A.B. Lindberg M.D. became Director in 1984, the U.S. National Library of Medicine (NLM) was a leader in the development and use of information standards for published literature but had no involvement with standards for clinical data. When Dr. Lindberg retired in 2015, NLM was the Central Coordinating Body for Clinical Terminology Standards within the U.S. Department of Health and Human Services, a major funder of ongoing maintenance and free dissemination of clinical terminology standards required for use in U.S. electronic health records (EHRs), and the provider of many services and tools to support the use of terminology standards in health care, public health, and research. This chapter describes key factors in the transformation of NLM into a significant player in the establishment of U.S. terminology standards for electronic health records.
The Visible Human Project
Authors: Ackerman Michael J.
Published: February 2022

This paper gives a flavor of Dr. Donald A.B. Lindberg’s view of the expanding role of libraries, his curiosity, and his tolerance for taking educated risks, through the creation and nurturing of National Library of Medicine’s Visible Human Project. That project produced the Visible Man and Visible Woman datasets and a suite of tools for presenting and analyzing those and similar datasets. The results are used in teaching anatomy and other medical school courses and in software from the open-source Insight Tool Kit (ITK) that is included in many if not most volume-reconstructing systems. This story is a bit personal. From the beginning we recognized and understood each other since we were both “boys from Brooklyn”.
Using NIPAM gel dosimeter and concentric swing machine to simulate the dose distribu- tion during breathing: A feasibility study
Authors: Sun Jung-Chang , Hsieh Bor-Tsung , Cheng Chih-Wu , Hsieh Chih-Ming , Tsang Yuk-Wah , Cheng Kai-Yuan
Published: February 2022

BACKGROUND: Radiotherapy plays an important role in cancer treatment today. Successful radiotherapy includes precise positioning and accurate dosimetry. OBJECTIVE: To use NIPAM gel dosimeter and concentric swing machine to simulate and evaluate the feasibility of lung or upper abdominal tumor dose distribution during breathing. METHODS: We used a concentric swing machine to simulate actual radiotherapy for lung or upper abdomen tumors. A 4 × 4 cm2 irradiation field area was set and MRI was performed. Next, readout analysis was performed using MATLAB and the 3 mm, 3% gamma passing rate > 95% was used as a basis for evaluation. RESULTS: The concentric dynamic dose curve for a simulated respiratory rate of 3 seconds/breath and 4 × 4 cm2 field was compared with 4 × 4, 3 × 3, and 2 × 2 cm2 treatment planning systems (TPS), and the 3 mm, 3% gamma passing rate was 42.87%, 54.96%, and 49.92%, respectively. Pre-simulation showed that the high-dose region dose curve was similar to the 2 × 2 cm2 TPS result. After appropriate selection and comparison, we found that the 3 mm, 3% gamma passing rate was 97.92% on comparing the > 60% dose curve with the 2 × 2 cm2 TPS. CONCLUSIONS: NIPAM gel dosimeter and concentric swing machine use is feasible to simulate dose distribution during breathing and results conforming to clinical evaluation standards.
Integrating molecular interactions and gene expression to identify biomarkers and network modules of chronic obstructive pulmonary disease
Authors: Huang Hai-Hui , Liang Yong
Published: February 2022

BACKGROUND: Chronic obstructive pulmonary disease (COPD) causes chronic obstructive conditions, chronic bronchitis, and emphysema, and is a major cause of death worldwide. Although several efforts for identifying biomarkers and pathways have been made, specific causal COPD mechanism remains unknown. OBJECTIVE: This study combined biological interaction data with gene expression data for a better understanding of the biological process and network module for COPD. METHODS: Using a sparse network-based method, we selected 49 genes from peripheral blood mononuclear cell expression data of 136 subjects, including 42 ex-smoking controls and 94 subjects with COPD. RESULTS: These 49 genes might influence biological processes and molecular functions related to COPD. For example, our result suggests that FoxO signaling may contribute to the atrophy of COPD peripheral muscle tissues via oxidative stress. CONCLUSIONS: Our approach enhances the existing understanding of COPD disease pathogenesis and predicts new genetic markers and pathways that may influence COPD pathogenesis.
Deep learning-based breast region extraction of mammographic images combining pre-processing methods and semantic segmentation supported by Deeplab v3+
Authors: Zhou Kuochen , Li Wei , Zhao Dazhe
Published: February 2022

BACKGROUND: Breast cancer has long been one of the major global life-threatening illnesses among women. Surgery and adjuvant therapy, coupled with early detection, could save many lives. This underscores the importance of mammography, a cost-effective and accurate method for early detection. Due to the poor contrast, noise and artifacts which results in difficulty for radiologists to diagnose, Computer-Aided Diagnosis (CAD) systems are hence developed. The extraction of breast region is a fundamental and crucial preparation step for further development of CAD systems. OBJECTIVE: The proposed method aims to extract breast region accurately from mammographic images where noise is suppressed, contrast is enhanced and pectoral muscle region is removed. METHODS: This paper presents a new deep learning-based breast region extraction method that combines pre-processing methods containing noise suppression using median filter, contrast enhancement using CLAHE and semantic segmentation using Deeplab v3+ model. RESULTS: The method is trained and evaluated on mini-MIAS dataset. It has also been evaluated on INbreast dataset. The results outperform those generated by other recent researches and are indicative of the capacity of the model to retain its accuracy and runtime advantage across different databases with different image resolutions. CONCLUSIONS: The proposed method shows state-of-the-art performance at extracting breast region from mammographic images. Wide range of evaluation on two commonly used mammography datasets proves the ability and adaptability of the method.
HER2-ResNet: A HER2 classification method based on deep residual network
Authors: Wang Xingang , Shao Cuiling , Liu Wensheng , Liang Hu , Li Na
Published: February 2022

BACKGROUND: HER2 gene expression is one of the main reference indicators for breast cancer detection and treatment, and it is also an important target for tumor targeted therapy drug selection. Therefore, the correct detection and evaluation of HER2 gene expression has important value for clinical treatment of breast cancer. OBJECTIVE: The study goal is to better classify HER2 images. METHODS: For general convolution neural network, with the increase of network layers, over fitting phenomenon is often very serious, which requires setting the value of random descent ratio, and parameter adjustment is often time-consuming and laborious, so this paper uses residual network, with the increase of network layer, the accuracy will not be reduced. RESULTS: In this paper, a HER2 image classification algorithm based on improved residual network is proposed. Experimental results show that the proposed HER2 network has high accuracy in breast cancer assessment. Conclusion: Taking HER2 images in Stanford University database as experimental data, the accuracy of HER2 image automatic classification is improved through experiments. This method will help to reduce the detection intensity and improve the accuracy of HER2 image classification.
Recognition of uterine contractions with electrohysterogram and exploring the best electrode combination
Authors: Du Mengqing , Qiu Qian , Hao Dongmei , Zhou Xiya , Yang Lin , Liu Xiaohong
Published: February 2022

BACKGROUND: As an essential indicator of labour and delivery, uterine contraction (UC) can be detected by manual palpation, external tocodynamometry and internal uterine pressure catheter. However, these methods are not applicable for long-term monitoring. OBJECTIVE: This paper aims to recognize UCs with electrohysterogram (EHG) and find the best electrode combination with fewer electrodes. METHODS: 112 EHG recordings were collected by our bespoke device in our study. Thirteen features were extracted from EHG segments of UC and non-UC. Four classifiers of the decision tree, support vector machine (SVM), artificial neural network, and convolutional neural network were established to identify UCs. The optimal classifier among them was determined by comparing their classification results. The optimal classifier was applied to evaluate all the possible electrode combinations with one to eight electrodes. RESULTS: The results showed that SVM achieved the best classification capability. With SVM, the combination of electrodes on the right part of the uterine fundus and around the uterine body’s median axis achieved the overall best performance. CONCLUSIONS: The optimal electrode combination with fewer electrodes was confirmed to improve the clinical application for long-term monitoring of UCs.
Clinical value and application of preoperative CT-guided hookwire localization of solitary pulmonary nodules for video-assisted thoracic surgery
Authors: Yan Gen , Cheng Xiaofang , Wu Shuohua , Ge Yuxi , Li Shanhua , Xuan Yinghua
Published: February 2022

BACKGROUND: Video-assisted thoracic surgery (VATS) is a minimally invasive technique for the diagnosis and management of small pulmonary nodular lesions However, the identification of some lung nodules remains difficult. OBJECTIVE: This research aimed to investigate the clinical value of preoperative computed tomography (CT)-guided hookwire localization of solitary pulmonary nodules (SPNs) for thoracoscopic resection. METHODS: Seventy-one patients with 74 SPNs underwent VATS wedge resection after CT-guided hookwire localization. The mean diameter of the SPNs was 8.50 ± 4.53 mm,,besides, the mean distance from the SPNs to the parietal pleura was 16.81 ± 5.23 mm. RESULTS: Sixty-nine of the 74 nodules were successfully localized using a CT-guided hookwire. The success rate of CT-guided localization was 93.2%. The average localization time was 15.23 ± 7.21 min per lesion. Seven patients (9.5%) had asymptomatic pneumothorax and 10 (13.5%) had minimal needle tract parenchymal hemorrhages after localization no clinical intervention was required for these patients. The rate of success for VATS wedge resection of the SPNs was 100%. Histological analysis of the SPNs revealed malignant disease in 67.4% of the patients. CONCLUSIONS: Preoperative CT-guided hookwire localization for thoracoscopic resection is a safe and effective operation for the identification and stable fixation of SPNs.
Assessing preservice elementary teachers’ understanding of science practices using children’s astronomy storybooks
Authors: Plummer Julia , Cho Kyungjin , Palma Christopher , Barringer Daniel , Gleason Timothy , Nolan Katie
Published: February 2022

Purposefully-designed, science content courses have the potential to help prepare future elementary teachers by helping to develop their understanding of the practices of science. We extend this area of research by investigating how students’ experiences in such a course contributes to their understanding of the coherence of science practices within a science investigation. We investigated U.S. college students’ understanding of coherent science inquiry investigations after completing an inquiry-based astronomy course designed for preservice elementary teachers. We assessed preservice teachers' (N=63) understanding of the coherence between question, data gathering, and evidence-based explanations using a novel format: student-generated astronomy-based children’s storybooks. Most students (59%) wrote storybooks featuring coherent investigations; in other words, their stories featured characters who linked an investigation question to data collection and to an evidence-based explanation. Over the three years of data collection, the percentage of preservice teachers who wrote coherent investigations in their final storybooks increased from 35% to 71% suggesting that additional scaffolding provided by the faculty in years 2 and 3 helped students understand these practices. Our findings suggest that purposefully-designed, science content courses can help preservice teachers learn about coherent science inquiry in astronomy. We also suggest that projects tied to the students’ own future careers, such as creating children’s science storybooks, can be used as assessment tools by faculty to assess preservice teachers’ development of science practices.
Interactive cosmology visualization using the Hubble UltraDeep Field data in the classroom
Authors: Nolan Liam , Mechtley Mira , Windhorst Rogier , Knierman Karen , Ashcraft Teresa , Cohen Seth , Tompkins Scott , Will Lisa
Published: February 2022

We have developed a Java-based teaching tool, "Appreciating Hubble at Hyper-speed" ("AHaH"), intended for use by students and instructors in beginning astronomy and cosmology courses, which we have made available online. This tool lets the user hypothetically traverse the Hubble Ultra Deep Field (HUDF) in three dimensions at over 500x10^12 times the speed of light, from redshifts z=0 today to z=6, about 1 Gyr after the Big Bang. Users may also view the Universe in various cosmology configurations and two different geometry modes - standard geometry that includes expansion of the Universe, and a static pseudo-Euclidean geometry for comparison. In this paper we detail the mathematical formulae underlying the functions of this Java application, and provide justification for the use of these particular formulae. These include the manner in which the angular sizes of objects are calculated in various cosmologies, as well as how the application's coordinate system is defined in relativistically expanding cosmologies. We also briefly discuss the methods used to select and prepare the images in the application, the data used to measure the redshifts of the galaxies, and the qualitative implications of the visualization - that is, what exactly users see when they "move" the virtual telescope through the simulation. Finally, we conduct a study of the effectiveness in this teaching tool in the classroom, the results of which show the efficacy of the tool, with over 90% approval by students, and provide justification for its further use in a classroom setting.
Hybrid Energy to Drive Renewable Energy Diversity in Bibliometric Analysis
Authors: Sarjana Sri , Widokarti Joko Rizkie , Fachri Helman , Pranita Diaz
Published: February 2022

Hybrid energy is a combination of two or more energy sources, some of which can be sourced from several renewable energies combined, or combined with fossil energy. Renewable energy diversity is implemented through the development of hybrid energy in order to obtain new energy sources that are more effective and efficient. Bibliometric analysis is directed to analyze topics that have novelty according to the time period of publication based on qualitative methods. Analysis of scientific literature sourced from scientific journals published in the last ten years with the topic of hybrid energy. The results of study stated that several topics that had novelty were obtained to be used in the development of further knowledge and technology, especially in the development of hybrid energy including energy density, renewable energy system, supercapacitor, storage system, algorithm, electric vehicle, and energy system. The development of hybrid energy is very important to be followed up in order to get more comprehensive source of energy diversity and has full support for development of green technology that has relevance in sustainable development.
Műszaki szabályozási érdekességek az Európai Unió és az Egyesült Királyság megállapodásából
Authors: Schuchtár Endre
Published: February 2022

A Brexit-folyamat legvégső pillanatában, egy az EU–Kanada szabadkereskedelmi egyezmény (CETA) mintájára létrehozott és 2020. december 30-ánaláírt kereskedelmi és együttmüködési megállapodással sikerült a liberalizált árumozgás megtartása az aláíró felek között. Az európai belső piacon szabadon forgalmazható, összes árura vonatkozó EU-s műszaki jogszabályok továbbra is kötelezők az EK exporttermékeire az Európai Gazdasági Térség (EGT) 31 országában, de most már nem feltételek nélkül érvényesek az EK-ban, mint arra az átmeneti időszakra vonatkozóan kötelezettséget vállaltak, hanem csak a megállapodásban rögzített módon, amire érdemes felhívni mind a jogalkotók, mind a bilaterális kereskedelemben részt vevő felek szíves figyelmét, és megemlíteni egy ezzel összefüggő gazdaságpolitikai kérdést.
Európa egyesítése vagy az Európa feletti uralom?
Authors: Trócsányi László
Published: February 2022

A történelem folyamán számos kísérletet lehetett látni az Európa feletti dominancia megszerzésére. Bár voltak időszakok, amikor egyik-másik nemzet idegen elnyomás alatt élt, de az Európa egésze feletti katonai hatalom megszerzése soha senkinek sem sikerült. Az európai integráció történetét is kettősség jellemzi: egyfelől szupranacionális törekvések, másfelől szabad nemzetek szövetségének elképzelése küzd egymással. Az európai gazdasági egységesülés hosszú évtizedekre prosperitást biztosított, ugyanakkor Európa az utóbbi bő tíz esztendőben súlyos válságidőszakot élt át. Az európai egység válaszút előtt áll. Az Európa Jövőjéről szóló Konferencia bár keretet nyújt az önreflexióhoz, de kérdéses, hogy képes lesz-e az egymástól eltérő nézőpontok mellett reális végkövetkeztetéseket megfogalmazni. Európa egysége nem jelentheti az Európa és annak országai fölötti uralmat. Európa szabad országainak integrációja csak akkor lehet sikeres, ha annak mottója megvalósul: Egység a sokszínűségben.
The Shanghai Cooperation Organization in a Changing Central Asian Geopolitical Context
Authors: Vasa László , Nurimbetov Rakhmatulla
Published: February 2022

The article discusses the initial role of the Shanghai Cooperation Organization (SCO) in Central Asia and the latest development trends, as well as possible scenarios for its transformation in the future, with a special focus on Central Asia. The enlargement of the SCO in 2017 enhanced its geopolitical weight and expanded opportunities for further multilateral cooperation. It has a chance to transform into the Eurasian organisation. Nevertheless, these perspectives remain unclear.
Crime and Armed Groups in the International and Legal Amazon
Authors: Guerreiro Ketiane
Published: February 2022

Transnational illicit activities, in addition to the unbridled greed for mineral resources, strongly impact Amazonian territories extending from the Orinoco Mining Arc in Venezuela to northern Brazil, aggravating problems of environmental impacts and border security, due to groups of the armed forces that protect mineral explorers. In Venezuela, megabandas joined the political elite that controls gold mining, as well as members of the Colombian Armed Forces (FARC) and armed military groups representing institutionalised violence, placing Venezuela in second place for murder among South American countries in 2020, with a rate of 45.6 per 100,000 inhabitants. In turn, Brazil reached ninth place, with 19.3 per 100,000 inhabitants. Violent deaths in the North and Northeast regions increased up to a great extent due to clashes between the Red Command and Northern Family factions against the largest group, the First Command of the Capital (PCC), which has more and more Venezuelan members, modifying the criminal modus operandi on the Brazil–Venezuela border. Therefore, Security and Border Defence Plans are indispensable.
A felsőoktatási modellváltás tapasztalatai hallgatói szemszögből
Authors: Fodor Márk Joszipovics
Published: February 2022

A magyar felsőoktatás modellváltása az elmúlt évek egyik legjelentősebb, egyben politikailag rendkívül konfliktusos strukturális reformja volt. A modellváltás hallgatói  fogadtatása intézményenként eltérő volt, a közönytől kezdődően egészen az egyetemfoglalásig. Az új struktúra hatásai eltérő mértékben érvényesültek a különböző intézményekben, attól függően, hogy a modellváltás melyik szakaszában vettek részt a folyamatban, amelyet pedig nehezített a végrehajtás feszített ütemezése, valamint a koronavírus-járvány elleni védekezés keretében bevezetett atipikus oktatásra és működésre való átállás. A Budapesti  Corvinus Egyetemen bekövetkezett strukturális változások, valamint a többi modellváltó intézményben megtörtént  alacsonyabb mértékű lépések azonban fontos  tapasztalatokkal szolgálnak a modellváltás további folyamatára nézve, noha átfogó értékelést ilyen rövid időtávlatban nem lehet végezni.
Addressing the Stigma: The Unvoiced Barriers to Muslim Arab Families’ Engagement in Their Children’s Education
Authors: Mohamed Naglaa
Published: February 2022

The present phenomenological study examined the engagement experiences of five Muslim Arab parents in their children’s education and uncovered the current stigma against Muslim families, which negatively impacts their engagement in their children’s education. Identifying these needs and satisfying them will improve the educational experience for students of this minority and will ultimately lead to effective engagement with their families. Five emerging themes support this finding: neglecting to accommodate for religious sacraments, unmet hygienic jurisprudence needs, unsatisfied dietary needs, feeling unequal, and failed preparation for academic success. Based on these findings, this research calls for action agendas for reform and change by training school personnel to understand diverse students; adopting anti-bullying policies to counteract stereotyping; allowing students to perform their individual religious duties, which are well within their constitutional rights; and making dietary considerations and personal hygienic accommodations for Muslim children as a matter of social justice before we can even address their families’ engagement.
Peningkatan Self-Management Melalui Pendampingan Penyusunan Goal-Setting Dan Time-Management
Authors: Mahmudah Fitri Nur , Fatmawati Laila , Nafia Zidnii Iilma
Published: February 2022

Memperhatikan kondisi alam dan perkembangan era yang tidak signifikan perubahannya berdampak pada aktivitas siswa.  Begitu juga dampak pandemi covid-19 yang masih dirasakan oleh sebagian besar siswa yang mengikuti distance learning.  Permasalahan yang muncul adalah banyaknya gangguan yang dihadapi oleh para siswa di luar jadwal sekolah sehingga siswa membutuhkan self-management yang baik.  Tujuan pengabdian kepada masyarakat ini adalah untuk dapat meningkatkan self-management siswa melalui pendampingan dalam penyusunan goal setting dan time management.  Metode pemecahan yang dilakukan dengan cara memberikan materi, praktik penyusunan, dan pendampingan siswa.  Hasil temuan saintifik pengabdian kepada masyarakat ini adalah terkait dua komponen yaitu goal setting dan time management.  Goal setting siswa terdiri dari empat komponen yaitu behavior, spirit, commtiment, dan progress.  Sedangkan time management meliputi to do list, prioritize, dan self-evaluation.  Simpulan pengabdian kepada masyarakat ini adalah pentingnya pemahaman siswa terkait temuan tersebut sehingga dapat dipraktikkan kedalam kehidupan sehari-hari dan pada akhirnya dapat meningkatkan kemampuan diri dalam mencapi prestasi belajar.
Avaliação química e microbiológica do óleo essencial de Cymbopogon densiflorus (Poaceae)
Authors: Fonseca Sarah Emidio , De Marco Janice Lisboa , Souza Silvia Ribeiro de
Published: February 2022

A espécie Cymbopogon densiflorus, conhecida popularmente como capim caboclo, capim nagô é tradicionalmente utilizada contra resfriados, asma e infecções é originária da África e bem aclimatada no Brasil. O objetivo deste trabalho foi identificar os principais compostos do óleo essencial da inflorescência de C. densiflorus e avaliar sua atividade antimicrobiana frente a microrganismos patogênicos humanos. O óleo foi obtido por hidrodestilação em aparelho Clevenger modificado por 2 h. As amostras foram caracterizadas por cromatografia gasosa e os principais compostos identificados foram monoterpenos, ésteres de ácido graxo, álcoois e óxidos, sendo o limoneno o constituinte presente em maior quantidade (13,07%). A análise da atividade microbiológica do óleo essencial em diferentes concentrações (100%, 50% e 25%) evidenciou sua capacidade antimicrobiana avaliada pela efetividade na inibição do crescimento dos microorganismos, Bacillus sp., S. aureus, E. coli indicado por meio da formação de halos de inibição do crescimento com diâmetro igual ou superior a 10 mm. Estudos futuros são requeridos a fim de se investigar o potencial terapêutico e econômico do óleo de C. densiflorus para o tratamento de doenças microbianas como pneumonia, infecçoes cutâneas, Gastroenterite, cistite que acometem a população.
Inovação, sustentabilidade e difusão do conhecimento tradicional e científico
Authors: Bieski Isanete Geraldini Costa , Sacramento Henriqueta Tereza do
Published: February 2022

É com muita alegria que estamos publicando no Suplemento da Revista Fitos artigos originários do 1º Congresso Internacional online de Fitoterapia (INTERPHYTO), que aconteceu de 09 a 13 de março de 2021, totalmente online, organizado pelo Instituto do Saber Ativo (ISA), com sede em Juína, Mato Grosso, Brasil.

Os objetivos do 1º INTERPHYTO foram: incentivar a extensão da linha de pesquisa científica, fomentar o estudo aprofundado, apoiar os debates teóricos investigativos, discutir acerca dos conhecimentos entre acadêmicos e profissionais de diversas áreas, apreciadas e relacionadas no desenvolvimento científico, e promover ambiente propício para a busca de resultados das pesquisas científicas.

O evento teve como tema principal “inovação, sustentabilidade e difusão do conhecimento tradicional e científico”, possibilitando agregar as riquezas nutricionais, medicinais e cosméticas das plantas medicinais, como principal fonte da biodiversidade para o fomento da bioeconomia no planeta.

Com 60 horas de Congresso o 1º INTERPHYTO contou com a participação de 1000 participantes e 45 palestrantes de 10 países, 150 pôsteres, palestra Magna, oficinas, minicursos e mesas redondas com três (3) apresentadores e um (1) coordenador..

Os trabalhos apresentados foram selecionados por uma Comissão Científica composta por mestres e doutores renomados na área das plantas medicinais e fitoterapia de diversas Universidades Brasileiras, nas diversas áreas do conhecimento, quais sejam: Agroecologia (Botânica; Cultivo e melhoramento; Biodiversidade e inovação; Bioeconomia e Redes Sustentáveis e afins); Ciências Farmacêuticas (Farmacognosia; Farmacotécnica; Análise e Controle de qualidade de medicamento e produtos; Farmacologia não-clínica e Clínica; Toxicologia e afins); Educação e Conhecimento, Etnociências (Etnobotânica; Etnofarmacologia e afins); Química de Produtos Naturais (Fitoquímica; Nanotecnologia; Metabolômica e afins) e Política e Gestão (Políticas Públicas; Política e Planejamento Governamental; Crescimento Econômico, Saúde Pública; Farmácia Viva e afins).

Este Suplemento é composto de artigos originais, abrangendo todas as áreas do conhecimento participantes do evento, que foram submetidos para o processo de revisão pelos pares e editoração da Revista Fitos.

Contudo, neste editorial, trazemos ao público a expressão mais concreta da relevância do 1º INTERPHYTO e a oportunidade de o leitor conhecer, por meio dos artigos que compõem esta publicação, as temáticas apresentadas e discutidas no evento.

Esperamos que os artigos deste suplemento contribuam para uma contínua e, cada vez mais aprofundada integração nacional e internacional, qualificada para o ensino e pesquisa de plantas medicinais.

Boa leitura a todos! 

Nosso sincero Fito Abraços.
THE EFFECT OF WEB QUALITY ON CUSTOMER LOYALTY AND ITS IMPACT ON BANK PERFORMANCE
Authors: Teguh Iman Basuki  , Dwi Dita Rari
Published: February 2022

In the era of the industrial revolution 4.0, consumer behavior in finding and obtaining information shifted from print media to be more dominant, using electronic media. The increase in the number of individual consumers in using it can be influenced by the quality of the website that can provide the information that customers need. Website quality is one determining factor whether consumers want to make transactions through the website, because consumers fully rely on the information owned by the website so that trust arises to decide to buy. For the banking industry, digital marketing is a reliable way because it is proven to be effective and efficient, especially through the website. Information on banking products can be presented, through the website, some transactions can be served well, this shows the quality of the website that is owned is very good and can be a factor driving customer loyalty by making repeated transactions using the website and will not be affected to switch to competitors. When customer loyalty is formed, it will certainly affect the performance of the bank because the company can make cost savings in getting new customers. It is an effective way to increase company profits. The results of the study have significance with p-value <0.01 so that there is a direct influence on web quality (X) on financial performance (Z) and there is no mediation through customer loyalty (Y) on financial performance (Z) because the p-value is greater than 0.01.
ROLES OF THE BOARD DIRECTORS AND FIRM VALUE
Authors: Devi Anna Yane
Published: February 2022

This study aims to analyze the Integrated Reporting Disclosure in the company, the influence of the role of the board of directors as measured by the composition of the independent board of directors, the number of board meetings and the composition of the audit committee on the Integrated Reporting Disclosure, and the influence of the Integrated Reporting Disclosure on firm value. This study was conducted on 45 companies with an LQ 45 index on the Indonesia Stock Exchange, using a regression for data processing. The results showed that the composition of the independent board of commissioners and the number of board of directors’ meetings affected the Integrated Reporting Disclosure. Meanwhile, the audit committee did not affect the Integrated Reporting Disclosure. In addition, Integrated Reporting Disclosure affects firm value. The results of this study contribute to investors that the Integrated Reporting Disclosure provides information needed by investors in making decisions.
Mejora de la velocidad de procesamiento en pacientes con fibromialgia: diseño y aplicación de un programa de intervención cognitiva
Authors: Magalhaes Roberto , González Candela , Ferrera David , Peláez Irene , Carpio Alberto , De Lahoz María Eugenia , Barjola Paloma , Mercado Francisco
Published: February 2022

La evidencia creciente considera que el enlentecimiento cognitivo en los pacientes con fibromialgia constituye uno de sus principales problemas. Este enlentecimiento, unido a la sintomatología física y afectiva que les caracteriza, afecta de manera significativa a su calidad de vida. El objetivo principal del presente estudio fue diseñar y aplicar un programa de estimulación cognitiva para comprobar sus efectos sobre la mejora de la velocidad de procesamiento de información (VPI), y como esta mejora, influye sobre otros síntomas clínicos en pacientes con fibromialgia. 22 pacientes formaron parte del programa. El pro-grama estuvo compuesto por 8 sesiones, que incluyeron tareas de cancelación, rastreo visual, asociación y fluidez verbal. De manera previa al inicio del programa, se realizó una evaluación neuropsicológica individualizada de la VPI a través de distintas pruebas estandarizadas. Adicionalmente, se aplicaron distintos cuestionarios clínicos autoinformados para evaluar la sintomatología física (dolor y fatiga) y psicológica (ansiedad, depresión, pensamientos catastróficos e impacto de la enfermedad sobre las actividades instrumentales). Dicha evaluación se volvió a aplicar al finalizar el programa, así como cinco meses después, a modo de seguimiento. Los resultados de los ANOVAs mostraron una mejora significativa en todas las pruebas de evaluación neuropsicológica aplicadas. Además, la sintomatología depresiva y el impacto de la enfermedad sobre las actividades instrumentales de la vida diaria también se vieron mejoradas. Estos resultados se mantuvieron estables cinco meses después del programa. La aplicación del presente programa de estimulación cognitiva ha mostrado ser efectivo para la mejora de la VPI en pacientes con fibromialgia. Además, esta mejora de la VPI en las pacientes, tuvo un impacto directo sobre la sintomatología depresiva y las actividades instrumentales de la vida diaria, lo que sugiere una estrecha relación entre los síntomas cognitivos y afectivos en el curso de la enfermedad.
Modelo de Base Fenomenológica de un Reformador de Etanol con Vapor de Agua
Authors: Gómez Giraldo Simón , González Jiménez David , Álvarez Hernán
Published: February 2022

Se propone un modelo semifísico de base fenomenológica (MSBF) para el proceso de reformado de bioetanol con vapor de agua para la producción de hidrógeno en un microrreactor tipo monolítico de tres etapas (deshidrogenación de etanol, reformado de acetaldehído y desplazamiento con vapor de agua). El modelo desarrollado consta de 16 ecuaciones diferenciales para cada partición del reactor, con lo que se logra representar la evolución temporal y espacial de las fracciones molares de los compuestos involucrados en el proceso y la temperatura de la fase gaseosa en cada partición. La simulación del modelo permitió verificar su validez con los resultados experimentales reportados en la literatura.
Artificial Intelligence Based Outdoor Lighting System Control Design for Smart Cities
Authors: Kurt Huseyin , Kiyak Ismail
Published: February 2022

Energy saving has become important in recent years with smart city applications. Outdoor illumination is very important in terms of safety and visuality. Outdoor illumination is done by traditional methods in todays. However, it is quite disadvantageous both in terms of visuality and energy efficiency. In this study, an example environment is designed for the smart city application. Artificial intelligent based control is simulated within the scope of smart city applications in an area consisting of schools, living spaces, social areas, and roads. Various scenarios have been showed and intelligent control has been obtained by taking the data from the national data centre and sensors. These scenarios are detection motion at night, detection at rising sun, no motion at night, no motion at rising sun, and enough illumination. When the control and used luminaires are considered, the proposed system was found to be 43.35 % more efficient than traditional control methods. With the study, the necessity of expanding smart city applications in terms of future energy saving, security, and comfort was revealed.
The Impact of Dynamic Fractal Laser Images on Human Functional State
Authors: Matveev Nikolay V. , Oleinik Roman V. , Sapunova Nataliya P. , Reznikov Stanislav S.
Published: February 2022

The subject matter of the article is the effect of a visual stimulation in the form of visual environment formed by dynamic laser images with preset fractality parameters on human. The structural and restorative characteristics of this environment are similar to those of the natural visual environment known for its restorative properties: it reduces the level of loading of sensory systems, recovers functional (general) state of humans, etc. Such analogue environment is formed using a laser optoelectronic RGB device designed with a non-conventional optical element, which transforms the structure of light beams from sources of radiation into an abstract light field with fractal dimensions of D = 1.3–1.5 optimal for perception, which is a positive criterion of evaluation of correspondence between this field and the natural visual environment. To estimate the level of the effect of the visual analogue environment, the electroencephalography (EEG) method was used which is based on analysis of activity of human brain α rhythm related to relaxed wakeful state.
The estimation demonstrated that the proposed visual stimulation causes a valid positive effect as a light therapy instrument. The obtained percentage data on the difference between median values of α rhythm power in 18 derivations before and after the visual stimulation has demonstrated increase of α rhythm power by 40 % as compared to the baseline level. Minimal growth was equal to 17.8 % which corresponds to parietal derivation P3-A1 whereas the maximum growth was 51.4 % and corresponded to the mid-temporal derivation T4-A2. Also valid reductions of systolic and diastolic blood pressure (BP) and cardiac rate (CR) by 8.5 % and 10 % respectively were observed. The obtained data are indicative of reduction of anxiety level, unloading of sensory systems and positive dynamics of the effect of dynamic laser images on human functional state. The statistical analysis confirms validity of the positive dynamics of α rhythm power, BP and CR changes.
A Study on the Photobiological Safety of LED Masks
Authors: Choi Seong-Woo , Kim Chung-Hyeok , Choi Woon-Shik
Published: February 2022

LED masks have made a significant impact on the beauty care sector. These products use low level light therapy to treat damaged skin and encourage skin regeneration. However, there are no specific safety standards for LED masks. Therefore, consumers may incur risks, such as skin damage and eye burns. In this study, selected LED masks were investigated based on their number of LED modules and wavelength bands (blue, yellow, and red light). The irradiance and radiance were measured according to the measurement criteria of IEC62471, which is an international standard for photobiological safety. This standard was used to derive the results and to find the corresponding hazards to humans. The products use blue light, and the inclusion of a separate eye protection device was checked. The application of an automatic output blocking system was checked when the product is used for a particular period. This study aims to present a domestic photobiological safety standard management plan and guidelines for the use of LED masks according to the test results.
Comparative Study of Solar Optical Fibre and Electrical Light for Daylighting in Tunnel Threshold Zone
Authors: Perdahci Canan , Sogodok Yahya
Published: February 2022

In recent years, there has been a considerable increase in traffic accidents in the tunnel region, especially around the threshold and exit zones, due to the inappropriate lighting system of these zones; leading to the loss of humans properties and lives. Therefore, lighting designers strive to improve the illumination issues of the threshold and exit zones which bring about “black hole” and “white hole” effects, respectively. Several solutions are proposed: solar optical fibre lighting system as a natural lighting system and LED, fluorescent lighting system as the artificial lighting system. This paper aims to compare the natural and artificial lighting system to show which lighting system is better and the best solution to solve these issues. The previous study in the Huashuyan tunnel in China, where natural light, solar optical fibre was used to illuminate the threshold zone, is simulated in LITSTAR4D software using a customized HCL-TN LED luminaire of LITPA Сompany. The simulation result is compared with the previous result obtained when the solar optical fibre is used. The simulation outcome gave a satisfying result with an average luminance of 91.15 cd/m2, which is higher than the average luminance required by the threshold zone. However, it is less when compared to the average luminance of 181.31 cd/m2 produced by the solar optical fibre system. The overall uniformity of 0.42 is above the requirements in the CIE88:2004 standards.
İSLAM SANATINDA SOYUTLAMA VE MEKÂN ALGISI
Authors: GENÇ Mehmet Ali
Published: February 2022

Çok geniş coğrafyaya yayılmış olan İslâm sanatı alanında yeterince yayın bulunmasına karşılık İslâm sanatının iç anlamı ve biçim dili yönünden incelenmesinin yeterince yapılmadığı görülmektedir. Bu çalışmada, İslâm medeniyetinin görsel sanatlarına yansımış olan soyutlama ve mekân algısının irdelenmesi amaçlanmıştır.

Sanatın görsel biçim dili, mekân içinde ifade edilmektedir. Genel olarak dikey mekân ve yatay mekân olarak ayrılan bu mekânlara bakılarak sanatın köken ve aidiyeti hakkında fikir edinilebilmektedir. Fetihlerle farklı kültür ve medeniyetlerin sanat yaklaşımlarından yararlanarak yeni sentezlere ulaşmış olan İslâm medeniyeti, kendine has bir sanat grameri oluşturmuştur. Görülen gerçeğin ötesine geçmekte olan İslam sanatı, sade ve grafiksel bir soyutlamayı dikey bir mekân içinde göstermektedir. Sanata çoklu bakış ve çoklu zaman boyutu sağlayan dikey mekân, gerçeğin doğru ifade edilmesini sağlamaktadır.
Combined Dexmedetomidine and Ketamine in Pediatric Anesthesia: A Brief Review
Authors: Ykeizumi Lilian Satie , da Silva Rafaela Correia , e Silva Gabriela Villar , Martins Santiago Bruno Vítor
Published: February 2022

Objectives: This review aims to evaluate the efficacy of the combination of dexmedetomidine and ketamine (KD) and focuses on pediatric perioperative and periprocedural applications of KD as well as its limitations e adverseevents. Despite the concomitant use of these two drugs is well described in adult population, there are few studies on its administration in pediatric anesthesia. Discussion: Drug combination proves to be an attractive regimen when adverse effects of one agent counteract the effects of another. When used together, dexmedetomidine can prevent ketamine’s tachycardia, hypertension, sialorrhea and emergency agitation, while accelerating the onset of sedation, thus excluding prolonged dexmedetomidine latency as a single agent. Such profile may be favorable for pediatric patients in order to conceive adequate anxiolysis, prevention of emergency delirium, also allowing its use for procedures with significant algic stimulus. A literature search was conducted in PubMed, Lilacs and Embase to identify 21 articles from 2015 to 2019 that address the use of ketamine and dexmedetomidine simultaneously during anesthetic procedures in population between birth and18 years old. Conclusion: The literature is favorable to the use of KD for invasive and noninvasive procedures, inside and outside of the operating room, presenting an attractive profile for pediatric patients.
A Research of the Factors Associated with Mortality of the Patients with COVID-19 in the Intensive Care Unit
Authors: Kartal Seyfi , Kongur Esra , Eroglu Ahmet
Published: February 2022

Aim: The aim of this retrospective study is to investigate the clinical and laboratory factors associated with mortality of the patients with COVID-19 in the Intensive Care Unit. Methods: The patients with COVID-19 who were under follow-up and treat in the Anesthesia Intensive Care Unit between March and May 2020 were retrospectively analyzed. The patients were divided into two groups as Survival Group and Mortal Group. Age, gender, body mass index (BMI), comorbidities, laboratory values such D-dimer, ALT, AST, CRP, ferritin, troponin, IL-6, bicarbonate and lactate, intubation and ventilation, all treatments, coagulopathies, duration of ventilation and stay in the ICU, nosocomial infections and complications were compared between the two groups. Results: Body Mass Index (BMI), any comorbidity such hypertension and cardiovascular disease, APACHE II scores, oxygen saturation, and PaO2/FiO2 rate were significant different between the Survival and Mortal groups. As laboratory markers; D-dimer, ALT, AST, CRP, ferritin, troponin, IL-6, bicarbonate and lactate values higher in Mortal group. Full dose of enoxaparin and vasopressor using were associated with mortality. As complications, ARDS, cardiac injury, cardiac arrest and sepsis were more in the Mortal group. Conclusion: On admission higher BMI, APACHE II scores and some comorbidity such hypertension and cardiovascular disease, and lower PaO2/FiO2 rate were associated with mortality. In addition, higher levels of D-dimer, ALT, AST, CRP, ferritin, troponin, IL-6, bicarbonate and lactate values, and full dose of enoxaparin and vasopressor using, and the development of ARDS, cardiac injury and sepsis is also associated with high mortality in the patients with COVID-19 in ICU follow-up.
Personalized Pain Therapy: Artificial Intelligence (AI) Utilized to Predict Patient Response to OTC Topical Analgesics
Authors: Gudin Jeffrey , Mavroudi Seferina , Korfiati Aigli , Dietze Derek , Hurwitz Peter
Published: February 2022

Purpose: Topical analgesics have shown efficacy for patients experiencing mild and moderate pain. Due to high variability in patient demographics, clinical profile, and analgesic response, identifying the most suitable treatment for pain patients is difficult. Artificial intelligence and machine learning techniques have shown promise in individualizing treatments. This analysis reviews an interpretable machine learning method to individualize treatment. Due to adverse effects associated with many analgesics, the ability to predict treatment response has a tremendous benefit to clinicians and patients. Patients and methods: Data were evaluated from 186 pain patients enrolled in an Institutional Review Board approved study (RELIEF) after use of a topical pain-relieving analgesic patch for 14 days. A novel interpretable machine learning method was developed based on a multi-objective ensemble classification/regression technique. Data was expanded to increase predictive accuracy with pre- and post-modeling techniques to raise interpretability. 85 features were identified that allowed calculation of data between testing and training groups. Data were split into training (n=152) and testing (n=34) patient sets in a stratified manner. Three basic endpoints were examined for the prediction models: total BPI Severity scores, total BPI Interference scores, and changes in the total drugs. Results: Results demonstrated that the machine learning models were able to predict endpoints with extremely high accuracy, with the AUC exceeding 90% and Spearman correlation metric exceeding 0.4 for all endpoints, far exceeding the test set performance of other benchmark models. The machine learning method reduced the number of significant features from 85 to 19 and defined well characterized groups of responders and non-responders. Conclusion: The machine learning model demonstrated that predictions of positive response could have been made prospectively for patients that benefited from the topical pain-relieving patch. This predictive analytic methodology can be applied to separate and larger datasets and used retrospectively to analyze whether a certain treatment might be effective in a given population.