bluuebunny/crossref_metadata_2025 huggingface dataset:
An Investigation on the Removal of High Concentrations of PAHs Using Two-Liquid Phase System
Authors: Vural Caner
Published: August 2023

Two-liquid phase systems consisting of two insoluble liquids can be effective in removing high concentrations of hydrocarbons from aqueous environments. In this study, the removal efficiencies of Naphthalene (Nap), Acenaphthene (Acn), Fluorene (Flu), Fluoranthene (Flr), Anthracene (Ant), and Pyrene (Pyr) at high concentrations in the two-liquid phase system were investigated. Two-liquid phase systems were constituted using Bis (2-Ethylhexyl) sebacate (BES) and aqueous fermentation media. Nutrient Broth (NB) and Bushnell Haas Yeast (BHY) medium were used as aqueous fermentation media. Acn, Flu, Flr, Ant, Pyr, and Nap were degraded at a rate of 93.1%, 80.8%, 57.6%, 68.5%, 63.8%, and 100%, respectively with BES/NB system. In the BES/BHY system, Acn, Flu, Flr,
Ant, Pyr, and Nap, were degraded at a rate of 29.6%, 44.3%, 22.8%, 68.1%, and 19.7%, 45.4%, respectively. When both systems are compared, it has been shown that the BES/NB system can be effective under specified conditions.
Mikroalgal Biyokütle Üretimi için Laboratuvar Ölçekli Fotobiyoreaktör Tasarımı
Authors: Gül Abdulkadir , Altundogan H.soner
Published: August 2023

Mikroalgal biyoteknoloji, enerji krizi, iklim degǍişikligǍi, çevresel bozulma ve gıda kıtlıgǍı dahil olmak uǅzere guǅnuǅmuǅzde karşılaşılan kuǅresel sorunları, potansiyel olarak çözebilecek verimli bir alternatif olarak kabul edilmektedir. Bunun başlıca nedeni, mikroalglerin büyük miktarda karbondioksiti yakalayarak fotosentez yoluyla doğrudan güneş enerjisini biyokütle içinde muhafaza edilen kimyasal enerjiye dönüştürebilmeleridir. Mikroalgal biyokütle gıda ve hayvan yemi olarak kullanılabildiği gibi biyoyakıt üretiminde de değerlendirilebilir. Bu çalışmada,
laboratuvar ölçeğinde bir fotobiyoreaktör tasarımı yapılarak, bu sistemde farklı mikroalg türlerinin zamana bağlı olarak gelişimi incelenmiştir. Önerilen sistemin ölçek büyütmeyle endüstriyel boyutta uygulanabilir bir tasarıma sahip olması, mikroalgal biyokütle üretimi açısından önemlidir. Ayrıca, eş zamanlı ve paralel fotobiyoreaktörlere hava temini için kullanılan küresel manifold sistemi,
karşılaştırılabilir sonuçların elde edilmesi açısından özgün bir tasarımdır. Farklı alg türlerinin gelişiminin 32 gün optik yoğunluk ölçümleriyle incelendiği deneylerde, alg kültürlerinin yüksek verimliliklerde üretilebileceği görülmüştür. Kullanılan sistemle incelenen Chlorella protothecoides-2 türü için kuru madde konsantrasyonunda, 20 günün sonunda 0,04 g/L’den 1,94 g/L’ye kadar artmak suretiyle yaklaşık 50 katlık bir artış sağlanabildiği gözlenmiştir.
Determination of Significance of 4D-BIM Features
Authors: Öz İlknur , Cevikbas Murat , Öcal Cenk
Published: August 2023

Planning is one of the advancements in Building Information Modeling (BIM) domain which enables the practitioner to visualize the relation of time with 3D objects. Notwithstanding the fruitful existing studies, the awareness of the practitioners concerning 4D-BIM features is not sufficient. Moreover, the construction industry suffers from the lack of features of the existing 4D-BIM software. Furthermore, the existing features vary from software to software due to a lack of awareness with respect to the importance of the features of 4D-BIM. These drawbacks result in unsuccessful 4D-BIM applications in the construction industry. Therefore, this study aims to define 4D-BIM features and detect their importance in the construction industry. Hence, 4D-BIM features were detected via an in-depth literature review and a Focus Group Discussion (FGD) conducted with 10 experts. Consequently, 16 4D-BIM features were detected. Later, the features were evaluated by 35 experts who have experience in the 4D-BIM domain, and the obtained data were analyzed via Relative Importance Index (RII) method to detect the significance levels of 4D-BIM features. As a result, the significance level of each feature was found to be greater than 0.5 according to RII method, which indicates that each of the features in 4D-BIM has critical importance in the planning of the project. It is highly believed that this study will pave the way for future 4D-BIM-related studies as well as increase the awareness of the practitioners, software developers and researchers in terms of the current needs of the construction industry.
Düşen Ağırlıklı Deflektometre Ölçümlerinde Asfalt Sıcaklığı Etkisi
Authors: Erkmen Fırat , Kalyoncuoglu Figen
Published: August 2023

Karayolu ağları, ülkemizde en yaygın kullanılan ulaşım ağıdır. Yol yapımında kullanılan büyük kaynakların doğru yönetilmesi ve harcamaların optimum düzeye düşürülmesi için bakım – onarım ihtiyaçlarının doğru şekilde belirlenip, doğru zamanda uygun metotların uygulanması yüksek önem taşımaktadır. Bakım – Onarım planlamasında üstyapının mevcut yapısal ve fonksiyonel durumunun belirlenmesi gerekmektedir. Mevcut yapısal ve fonksiyonel durum, laboratuvar çalışmaları ve araştırma çukuru gibi yöntemlerle belirlenebileceği gibi tahribatsız test metotları kullanılarak da belirlenebilir. Yol üstyapısının yapısal durumu tahribatsız olarak Düşen Ağırlık Deflektometreleri (FWD) ile belirlenebilir. Esnek üstyapılarda yapılan FWD ölçümlerinde Bitümlü Sıcak Karışım (BSK) tabakaların ölçüm sonuçları sıcaklık ile değişkenlik göstermektedir. Bu çalışmada asfalt sıcaklığının esnek üstyapılarda defleksiyon ölçümleri üzerindeki etkisi araştırılmıştır.
Protagonismo docente em contexto de ensino remoto
Authors: Luiz Josenilda Santos , Santos Eliete Correia dos
Published: August 2023

O presente artigo oferece um recorte teórico, fruto das reflexões de uma pesquisa de mestrado em andamento intitulada “Protagonismo docente como ato responsável: uma análise dialógica dos discursos de professores de linguagens em contexto de ensino remoto. ” Nosso objetivo é discorrer sobre as bases teóricas escolhidas para o desenvolvimento da pesquisa no que se refere aos aspectos do protagonismo docente em contexto de ensino remoto e aos pressupostos da teoria bakhtiniana. Pretendemos, com este estudo, abrir um leque de possibilidades de análise sobre o tema e estimular reflexões em âmbito acadêmico. Portanto, reafirmamos nosso pensamento, ressaltando que, na prática ser/fazer docente, isto é, na concretização do ato docente, o professor é capaz de se perceber como protagonista e, através dos seus atos, refletir seu agir e a sua formação profissional, em prol de seus objetivos nas relações dialógicas estabelecidas entre o EU o OUTRO no contexto de ensino.
Nisan 2023 Editoryal
Authors: ÜNİVERSİTESİ Yaşar
Published: August 2023

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O Museu de Ciências Naturais da Universidade Estadual de Ponta Grossa e seu potencial educativo para o ensino da Geodiversidade
Authors: Meira Ana Paula Gonçalves de , Liccardo Antonio , Pimentel Carla Silvia
Published: August 2023

Introdução. Os museus de ciências, por meio de ações educativas não formais, vêm popularizando conceitos científicos que contribuem para a difusão das Geociências a públicos escolares e à comunidade em geral. Objetivo. Objetivou-se neste trabalho analisar as possibilidades educativas da temática da Geodiversidade, tendo por referência os conteúdos geocientíficos expostos no Museu de Ciências Naturais (MCN) da Universidade Estadual de Ponta Grossa (UEPG). Metodologia. Realizou-se um levantamento quantitativo de visitas escolares no MCN entre junho e dezembro de 2022; e dos conteúdos da disciplina de Geografia na Base Nacional Comum Curricular e no Currículo da Rede Estadual Paranaense que abordam a geodiversidade. Resultados. Ao todo 31 instituições de ensino visitaram o MCN, totalizando 2580 visitantes; constatou-se a abordagem da Geodiversidade como conteúdo curricular, embora com a necessidade de uma maior apropriação de seu conceito, sobretudo na BNCC. Conclusão. O conteúdo geocientífico exposto no MCN oferece a possibilidade de ampliação dos estudos da Geodiversidade, sendo importante para enriquecer o ensino e aprendizagem da temática e contribuir para as demandas educacionais e socioambientais do século XXI.
Violência no Namoro entre Adolescentes: Transmissão Intergeracional e Gênero
Authors: Andrade Thaís Afonso , Moraes Priscilla Machado , Martins Camila Vieira
Published: August 2023

A violência no namoro na adolescência é um fenômeno complexo, multifatorial, considerado um problema social e de saúde pública. Objetivou-se investigar aspectos da transmissão intergeracional da violência e atravessamentos de gênero nas relações de namoro entre adolescentes. Pesquisa de natureza qualitativa realizada com seis adolescentes do gênero feminino (3) e masculino (3), entre 16 e 18 anos. Como instrumentos e técnica, destacam-se: 1) Questionário biossociodemográfico; 2) Questionário “Conhecendo as relações de namoro”; 3) Entrevista semiestruturada concretizada em dois encontros com cada adolescente. Na análise, foram discutidos processos de manutenção, transformação e mudança atrelados às repetições de comportamentos violentos vividos na família, numa perspectiva sistêmica. Nos resultados, observaram-se diferentes expressões da violência no namoro: psicológica e digital. Sugerem-se novas pesquisas, incluindo as três gerações da família, somadas às ações interventivas que proporcionem a ressignificação do fenômeno.
MicroRNA biogenesis pathway alterations in aging
Authors: Sanz-Ros Jorge , Mas-Bargues Cristina , Romero-García Nekane , Huete-Acevedo Javier , Dromant Mar , Borrás Consuelo
Published: August 2023

Aging is characterized by genomic instability and dysregulation of gene expression. MicroRNAs (miRNAs) are small non-coding RNAs that play a crucial role in post-transcriptional gene regulation. This work explores the impact of dysregulated miRNA biogenesis on the aging process. During aging, alterations in the transcription of primary miRNAs (pri-miRNAs) occur due to genomic changes, DNA damage, and epigenetic modifications. The microprocessor complex, comprising DGCR8 and Drosha proteins, is vital for pri-miRNA processing. Age-related changes in this complex affect miRNA biogenesis and miRNA expression profiles, linking these alterations with age-related conditions. Conversely, interventions like caloric restriction and mTOR inhibition enhance microprocessor activity, suggesting a connection between microprocessor function, aging-related pathways, and lifespan extension. Exportin-5 mediates the transport of pre-miRNAs from the nucleus to the cytoplasm. Although the role of miRNA export in aging is not well understood, accelerated export of pre-miRNAs is observed in response to DNA damage, and nucleocytoplasmic transport has been linked to cellular senescence. Dicer is responsible for processing pre-miRNAs into mature miRNAs. Reduced Dicer expression during aging is reported in various organisms and tissues and is associated with premature aging phenotypes. Conversely, the upregulation of Dicer improves stress resistance and metabolic adaptations induced by caloric restriction and exercise training. Understanding the role of miRNA biogenesis disruption in aging provides insights into the molecular mechanisms of aging and age-related diseases. Targeting this pathway may hold promise for therapeutic strategies and contribute to healthy aging.
Effects of solutes on thermodynamic properties of (TMZrU)C (TM = Ta, Y) medium-entropy carbides: a first-principles study
Authors: Liu Ya , Lu Yonghong , Wang William Yi , Li Jia , Zhang Ying , Yin Junlei , Pan Xiaoqiang , Gao Xingyu , Chen Yong , Song Haifeng , Li Jinshan
Published: August 2023

High entropy carbide ceramics have garnered significant interest as a novel class of ultra-high temperature and superhard metallic materials. In the present work, a comparative investigation was conducted for the first time on the stability, mechanical, and thermodynamic properties of two medium entropy carbides (MECs), (TaZrU)C and (YZrU)C, using high-throughput first-principles calculations. Additionally, data from groups IV and V transition metal monocarbides were employed for comparison. The temperature-dependent thermodynamic properties, including bulk modulus (B), constant volume/constant pressure heat capacity (Cv/Cp), Gibbs free energy, volume, entropy, and thermal conductivity, were evaluated using the Debye-Gruneisen model. The results demonstrate that (TaZrU)C and (YZrU)C exhibit similar trends in their thermodynamic properties, with (YZrU)C displaying slightly superior performance as the temperature rises. This work provides valuable insights into the design of innovative high entropy fuels, holding significant implications for the advancement of MEC ceramic fuels in advanced nuclear power systems and nuclear thermal propulsion systems.
Evaluation of Behavior of Consumers with Respect to Expired Food
Authors: Cordova-Ramos Javier S. , Garcia Diana , Olivera-Montenegro Luis , Ruiz Alfonso , Sotelo - Mendez Alejandrina , Gonzales- Huaman Teresa , Moran-Ruiz Javier
Published: August 2023

In these times, consumers mistakenly believe that the terms “expiration date” and “best before” found on packages only convey information about food safety. Consequently, a misunderstanding of these terms contributes to food waste. In this sense, the understanding and behavior of the con-sumer with respect to the two terms were evaluated; in addition, the consumer's perception of the health risks of consuming expired food was analyzed. The research was carried out with the population of the sector of Lurigancho-Chosica, Lima – Peru; sample size was 555 participants. An online survey was sent to consumers over 18 years of age, from different sociodemographic and socioeconomic conditions. In general terms, it was found that 45% (p <0.01) consider that both terms mean the same thing, this result is a problem for food safety. The 67% (p <0.05) and 45% (p <0.05) correctly defined the first and second terms, respectively; however, the behavior is not coherent with the understanding of the terms. In addition, irrational and dangerous behavior toward expired food was evidenced, i.e., they consume expired food - "expiration date", and discard expired food - "best before". Finally, the health risks they perceived from consuming expired foods of both terms were: upset stomach, vomiting, gas, intoxi-cation, and malnutrition; these perceptions are erroneous and unfounded. Sociodemographic and socioeconomic conditions influence the under-standing, behavior, and perception of health risks. Therefore, in general lines, the level of understanding of the terms was low (p<0.01), the be-havior was inappropriate toward expired food (p<0.01), and the percep-tion of the health risk of consuming expired food was incorrect (p<0.01).
A Comparison of PKD2L1-Expressing Cerebrospinal Fluid Contacting Neurons in Spinal Cords of Rodents, Carnivores, and Primates
Authors: Liu Xiaohe , Rich Karen , Nasseri Sohail M , Hjæresen Simone , Li Guifa , Finsen Bente , Scherberger Hansjörg , Svenningsen Åsa , Zhang Mengliang
Published: August 2023

Cerebrospinal fluid contacting neurons (CSF-cNs) are a specific type of neurons located around the ventricles in the brain and the central canal in the spinal cord and have been demonstrated to be intrinsic sensory neurons in the central nervous system (CNS). One of the important channels responsible for the sensory function is polycystic kidney disease 2-like 1 (PKD2L1) channel. Most of the studies concerning the distribution and function of the PKD2L1-expressing CSF-cNs in the spinal cord have previously been performed in non-mammalian vertebrates. In the present study immunohistochemistry was performed to determine the distribution of PKD2L1-immunoreactive (IR) CSF-cNs in the spinal cords of 4 mammalian species: mouse, rat, cat, and macaque monkey. Here, we found that PKD2L1-expressing CSF-cNs were present at all levels of the spinal cord in these animal species. Although the distribution pattern was similar across these species, differences existed. Mice and rats presented a clear PKD2L1-IR cell body labeling, whereas in cats and macaques the PKD2L1-IR cell bodies were more weakly labeled. Ectopic PKD2L1-IR neurons away from the ependymal layer were observed in all the animal species although the abundance and the detailed locations varied. The apical dendritic protrusions towards the lumen of the central canal were clearly seen in all the animal species, but the sizes of protrusion bulbs were different among the species. PKD2L1-IR cell bodies/dendrites were co-expressed with doublecortin, MAP2 (microtubule-associated protein 2) and aromatic L-amino acid decarboxylase, but not with NeuN (neuronal nuclear protein), indicating their immature property and ability to synthesis monoamine transmitters. In addition, in-situ hybridization performed in rats revealed PKD2L1 mRNA expression in the cells around the central canal. Our results indicate that the intrinsic sensory neurons are conserved across non-mammalian and mammalian vertebrates, and that this may play an essential role in the regulation of motor and sensory functions as well as in the maintenance of homeostasis in the CNS.
Fertility Preservation Options for Transgender Patients: An Overview
Authors: Mainland Natlie , Dana Ohl, , Assaly Ahmed , Azeem Nabila , Cooper Amber , Beltsos Angie , Sindhwani Puneet , Shah Tariq
Published: August 2023

Fertility preservation technologies have existed for decades, and the field is rapidly advancing; limited data exist regarding the use of these technologies by transgender patients. Many options are available for transgender patients who wish to preserve fertility before transitioning. These options include the cryopreservation of gametes, ovarian tissue, or embryos. Currently, ejaculated, or testicular sperm, immature oocytes, and ovarian tissue can be preserved for later use, but no such use option exists for immature testicular tissue. Many financial, sociological, and legal barriers and a lack of awareness among physicians and patients also hindered the utilization of these fertility preservation services. While options are abundant, usage rates are relatively low. The initial data regarding the successful use of preserved tissues appears promising, with birth rates not dissimilar to non-transgender patients. Further investigations into this area are needed. In addition, counseling regarding fertility preservation options should become a significant part of the provider-patient conversation before transitioning therapies.; fertility; transgender; reproductive technology.
Mathematical Modeling of Prediction of Horizontal Wells with Gravel Pack Combined with Inflow Control Device Completion in Bottom Water Reservoirs
Authors: Qin Shili , Zhang Ning , Cao Bobo , An Yongsheng , Huo Runshi
Published: August 2023

During the development of horizontal wells in bottom water reservoirs, the strong heterogeneity of reservoir permeability leads to premature bottom water breakthrough at locations with high permeability in the horizontal wellbore, and the water content rises rapidly, which seriously affects production. In order to cope with this problem, a new technology has emerged in recent years that utilizes gravel filling to block the flow in the annulus between the horizontal well and the borehole, and utilizes the Inflow Control Device (ICD) completion tool to carry out segmental water control in horizontal wells. Unlike conventional horizontal well ICD completions that use packers for segmentation, gravel pack combined with ICD completions breaks the original seg-mentation routine and increases the complexity of production dynamic simulation. In this paper, the flow in different spatial dimensions such as reservoir, gravel packed layer, ICD completion section and horizontal wellbore is modeled separately, and the annular pressure at different locations is used as the solution variable for the coupled solution, which realizes the prediction of oil production, water production and water content of gravel pack combined with ICD completions of horizontal wells. The model was used to calculate the effects of different crude oil viscosities, different reservoir permeabilities, different permeabilities of gravel packed layers, and different development stages on the water control effects of gravel pack combined ICD completions and conventional ICD completions at field conditions. This study provides a basis for using gravel pack combined ICD completions in horizontal wells in bottom water reservoirs.
Effects of 2,2'-azobis (2-amidinopropane) dihydrochloride Stress on the Gel Properties of Duck Myofibrillar Protein Isolate
Authors: Zhu Xueshen , Zhang Jin , Zhang Xinyu , Dai Qun , Fu QingQuan
Published: August 2023

The aim of this study was to investigate the biochemical properties and gel-forming capacity of duck myofibrillar proteins under the effects of 2,2'-azobis (2-amidinopropane) dihydrochloride (AAPH)-mediated oxidation. Duck myofibrillar proteins were extracted and treated with different concentrations of AAPH solutions (0, 1, 3, 5, 10 mmol/L) and then analysed for carbonyl content, dynamic rheology, protein profiles and gel-forming properties (colour, water holding capacity, hardness, protein profile, microstructure). The results showed that with increasing AAPH concentration, the carbonyl content of protein showed an increasing trend (p < 0.05); SDS-PAGE pattern results indicated that moderate oxidation (3 mmol/L AAPH) induced myosin aggregation via covalent bonds including disulfide, enhanced protein-protein, and thus improved protein-water interactions and gel strength of DMPs heat-induced gels. However, high oxidation (5 and 10 mmol/L AAPH) led to partial degradation of myosin heavy chain (MHC), as evidenced by lower storage modulus and irregular microstructure, which significantly reduced gelation ability. These results suggest that the internal relationship between alkanoperoxy radical-induced oxidation should be taken into account in the processing of duck meat, as mild protein oxidation is conducive to improving gel quality.
E_Apriori: An Efficient Machine Learning Algorithm for the Control of Malaria
Authors: Adegbite Gbenga
Published: August 2023

The discovery of interesting inter-relationships between the different malaria epidemiological parameters is essential towards the disease control. However, existing associative rule-based machine learning algorithms for pattern discovery are slow while working on high-dimensional Malaria Indicator Survey (MIS) data, with the further challenge of data under fitting and inadequate result visualization. Hence, this work proposed a novel and efficient associative rule-based machine-learning algorithm with enhanced graphical visualization capacity for rigorous and confident biological result interpretation for malaria control. Through empirical and asymptotic comparative time-complexity performance evaluations, the proposed algorithm scaled better than other existing associative rule-based machine learning algorithms while maintaining its accuracy. The algorithm was applied to two real MIS data sets obtained from the Demographic and Health Survey repository and other supplementary literature source using Nigeria as a case study. The resulting interesting malaria epidemiological discovered novel trends were: a) the malaria disease might not be associated with the anemia symptom; b) there was no significant association between the anemia symptom and the wealth indices of individuals; c) there were other parameters associated with the insecticide resistance capacity of the malaria vector asides the knock down resistance alleles; d) the population dynamics of the malaria vector was not associated with the malaria disease endemicity. In conclusion, this work developed a computationally efficient and user-friendly associative rule-based machine-learning algorithm called E_Apriori for the control of the malaria disease.
ANÁLISE DE MÉTODOS DE IDENTIFICAÇÃO HUMANA PARA DIFERENCIAÇÃO DE GÊMEOS MONOZIGÓTICOS: REVISÃO DE LITERATURA
Authors: Figueiredo Tayná Ribeiro Monteiro de , Fernandes Larissa Chaves Cardoso , Rabello Patrícia Moreira , Crosato Edgard Michel , Cavalcanti Sérgio D’Ávila Lins Bezerra , Bento Maria Izabel Cardoso
Published: August 2023

Devido à dificuldade de diferenciação entre gêmeos monozigóticos (GM) e as limitações existentes nos métodos, decorrentes das influências e similaridades genéticas, ambientais e faciais, a busca por métodos confiáveis que possam distinguir esses indivíduos geneticamente idênticos torna-se de grande importância para o campo forense. O objetivo deste trabalho foi realizar uma revisão da literatura do tipo narrativa a respeito dos métodos que ofereçam segurança para diferenciação entre GM. Constatou-se que a análise de pontos característicos individuais na impressão datiloscópicas e plantares, desenvolvimento dental, impressão labial, rugoscopia palatina, medidas faciais antropométricas, biometria ocular e por impressão vocal, padrões de cristas das unhas e de veias, seio frontal e impressão da língua são métodos eficazes para a identificação de GM. Ainda, superando a análise convencional de DNA, surgiu a análise genética por meio das variações sequenciais do genoma, denominado de Massively Parallel Sequencing que tornou possível distinguir gêmeos monozigóticos. Além dos métodos primários de identificação humana que permitem a diferenciação de GM, como a papiloscopia e odontologia, diversos métodos para diferenciação de GM estão descritos na literatura, e cada qual possui suas vantagens e limitações no sentido de propiciar ao perito a melhor informação no sentido de que GM sejam adequadamente diferenciados.
EDITORIAL
Authors: Silva Ricardo Henrique Alves da
Published: August 2023

E QUE VENHA 2023!
 
Mas antes... Vamos celebrar o ano de 2022 que se encerrou. E em mais um ano de existência da RBOL – Revista Brasileira de Odontologia Legal com três edições com muita ciência, informação e conhecimento.
Assim, o momento é de agradecer a todos os que tornam a nossa RBOL uma realidade... e um sucesso de público e crítica!
Agradecemos aqui aos AUTORES que confiam seus trabalhos ao nosso periódico; aos REVISORES que arduamente fazem a criteriosa avaliação e correção dos artigos submetidos; aos EDITORES que trabalham incansavelmente para manter essa publicação regular e com qualidade; à ABOL que mantem a revista; e aos LEITORES que acessam, utilizam e citam os artigos aqui publicados. Muito obrigado a todos!
Além disso, não podemos nos esquecer do presente de Natal que a RBOL recebeu... Afinal, no novo Qualis 2017-2020 (CAPES), a RBOL alcançou a classificação B3 e isso é mérito de todos os que já foram citados no parágrafo anterior. Parabéns!
...
Transition from the Continental Margin of Kamchatka to the Island Arc of the Kurile Islands: Features of Volcanism, Crustal Deformation and Geophysical Parameters of the Slab
Authors: Bergal-Kuvikas O.V. , Buslov M.M. , Bushenkova N.A. , Dolgaya A.A.
Published: August 2023

—Magmatism manifestations in the transition zone from the continental margin of Kamchatka to the Kurile island arc and some geophysical parameters of the subducted oceanic plate of the Northwestern Pacific are considered. The presence of the Miocene coastal volcanic (Pribrezhny) complex at the base of the South Kamchatka volcanic belt contributes to intense crustal processes causing caldera-forming eruptions in the Holocene. The Northern Kuriles are characterized by initiation of areal volcanism associated with crustal fault zones. Anomalous is the absence of volcanism on Shumshu Island proximal to Kamchatka. Seismic tomography data reveal a high seismic velocity anomaly below it, which can explain this phenomenon. Based on the presented data an assumption is made about existence of a seafloor elevation on the slab, whose submergence led to disintegration of the melting regions responsible for generation of volcanism.
International and Russian Legal Regulation of the Turnover of Crypto-assets: Conceptual-Terminological Correlation
Authors: Iarutin Ia. K. , Gulyaeva E. E.
Published: August 2023

Objective: to assess the Russian legislation for its compliance with the international-legal approaches to shaping symmetrical regulation of crypto-assets and possibility to complement it with new internationallegal categories reflecting the in-depth changes in the global economy and structure of international finance, determined by the broad introduction of new financial technologies based on distributed ledger technologies.

Methods: the methodological basis of the research is a set of general scientific methods of scientific cognition, among which of utmost importance are special-legal (formal-legal and comparative-legal) methods, complemented with risk-oriented approach, legal modeling and juridical forecasting. Applied integrally, they allowed comprehending the architecture, “letter and “spirit” of the modern international financial law and national legislation in their conceptual-terminological correlation and to forecast further development and adjustment of the legal regulation of crypto-assets turnover.

Results: it was found that there appears a stable trend in the crypto-assets turnover regulation, according to which “soft” law dominates among the law sources (this is especially notable in the sphere of international financial law compared, for example, with conventions or international treaties); at the same time, there is a strengthening trend of “fragmentation” of international law with regard to crypto-assets turnover; the authors mark inconsistency of the conceptual framework contained in international acts and in the Russian legislation, as well as the gaps in the regime of crypto-assets turnover at the level of national law; the trends and forecasts are presented referring to the development of international-legal regulation of the sphere of crypto-assets.

Scientific novelty: consists, first of all, in a complex comparison, based on, among other aspects, the fundamentally new concepts of regulation of such progressive international-legal categories as cryptoasset, virtual asset, cryptocurrency, stablecoin, etc., some of them rarely used in the Russian legal discourse and actually never applied in legislation.

Practical significance: the scientifically grounded proposals are formulated, aimed at improving the conceptual-terminological framework of the Russian legislation in the sphere of crypto-assets turnover, implementation of which will allow constructing a common legal space with the technologically most advanced states, will help to improve investment climate and financial attraction of the state; will improve the national-legal regime of crypto-assets turnover from the viewpoint of not only actual market demands, but also state security interests and improving competitiveness of the Russian legislation.
Improving the System of Mandatory Requirements to Business under the Digital Transformation of Economy
Authors: Minich S. A.
Published: August 2023

Objective: to elaborate scientifically substantiated proposals for improving the system of mandatory requirements in the sphere of business and other economic activity under formation of digital economy, taking into account the foreign experience of eliminating barriers for business and the available practice of legislation optimization in this sphere.

Methods: the research methodological basis consists of traditional general and specific methods of scientific cognition: dialectical, formal-logical, historical-comparative, systematic, terminological, general logic methods (analysis, synthesis, generalization, induction, deduction, etc.), as well as special methods: historical-legal, formal-legal, and method of comparative jurisprudence.

Results: the author investigated and systematized theoretical approaches and experience of improving the system of mandatory requirements in foreign countries and the Russian Federation; the possibilities of introducing the most successful innovative legal instruments and practices to improve the regulation of economic relations were considered. The role of a retrospective assessment of the regulatory impact of existing regulatory legal acts containing mandatory requirements in addressing issues of reducing burdensome rules and ensuring legal stability in the context of digital transformation of the economy was determined. The international experience of implementing the regulatory guillotine mechanism was considered; its essence, purpose, tasks, basic principles, and algorithm of operation were revealed. The issues of establishing and evaluating the application of the requirements for business contained in regulatory legal acts were analyzed.

Scientific novelty: the author’s comprehensive analysis of existing scientific developments on improving the system of mandatory requirements for business; systematization of scientific and theoretical approaches to the selection of innovative legal instruments to eliminate excessive legal regulation of economic relations; generalization of successful foreign practices in the implementation of “regulatory guillotine” measures.

Practical significance: recommendations were developed for effective reduction of burdensome requirements that negatively affect the development of business in the context of digital transformation of the economy. Conditions were determined for the implementation of a full-fledged regulatory impact assessment procedure and the successful implementation of regulatory reforms. The results of the study can be used in standard-setting activities and in the educational process when elaborating educational programs in Economics and Law.
Direct Laser Photocoagulation of the Retinal Pigment Epithelium: A Novel Method to Seal Retinal Breaks during Pars Plana Vitrectomy for Retinal Detachment
Authors: Du Shu , Yang Xun , Zha Youyou , Chen Xing , Zhang Jing , Kuhn Ferenc
Published: August 2023

Aims: To examine the clinical effectiveness of employing direct retinal pigment epithelium (RPE) laser photocoagulation to create chorioretinal adhesion around the retinal breaks.
Methods: Twenty eyes of 20 patients were included in the study; all eyes had rhegmatogenous or combined rhegmatogenous-tractional retinal detachment. Direct RPE laser photocoagulation during vitrectomy, using power of 100-150 mw for of 120-200 ms duration, was performed in the area where the edges of each retinal break would settle following retinal reattachment. The thickness of the neuroretina over the treated area was compared to that measured after traditional transretinal laser photocoagulation.
Results: The mean follow-up time was 24 (11-46) months. Postoperatively, an ophthalmoscopically visible pigmentary reaction developed over the treated area, except for a single eye where the retinal break was located in an area of myelinated nerve fibres. There were no serious complications, and the retinas in all 20 eyes remained reattached. The mean best-corrected visual acuity (BCVA) at the final follow-up was significantly higher than that before surgery (p=0.001). The thickness of the neuroretina at 1 month after surgery greatly differed between areas of direct versus transretinal laser photocoagulation: 217 μm in the former and 104 μm in the latter group.
Conclusions: The efficacy of direct RPE photocoagulation in retinal break sealing equals the effect of traditional transretinal photocoagulation, but without risking damaging the neurosensory retina, and the laser application is not hindered by retinal opacities.
Stability Classification of Stock Market Using Temporal Rule-Based Classification
Authors: Fattah Polla , Aickelin Uwe , Wagner Christian , Rashid Tarik A. , Jafar  , A. Bryar
Published: August 2023

Economists have sought to predict stock market prices for decades with varying degrees of success. This study classifies stocks according to their stability in two consequent financial quarters (depending on whether the majority of stocks remain in the same stability group, which can indicate forecastability). However, classifying temporal information like stock market data using available methods produces complicated rules that cannot be easily interpreted by human experts. To reduce this complication a new approach of rule-based temporal classification is used. The method combines human-provided rules with machine optimisation to produce classes that can be easily interpreted by experts, enabling them to comprehend the complicated temporal dimension of the data. Rules provided by human experts might be via generalization of the temporal data using statistical functions like standard deviation and averages. Initially, each rule will have a range of possible values that can be reduced to a single one. For this study, we classify the stability of stock market data of the S&P 500 for two constitutive financial quarters to test if stocks have the same stability or not. The results show that the classes for stock markets are different beyond random chance, which might be an indication of the viability of forecasting stock markets depending on their old trends.
Path Planning of Mobile Robots under Uncertain Navigation Environments using FCM clustering ANFIS
Authors: MOHANTY PRASES KUMAR
Published: August 2023

In this paper an improved Multiple Adaptive Neuro-Fuzzy Inference System (MANFIS) to solve the wheeled mobile robots path planning in unstructured environments is proposed. The Fuzzy C-Means (FCM) clustering method is used in ANFIS to decrease the input data size, which leads to predict the efficiency of the proposed robot path planning model. The FCM clustering method allow classifying the robot sensors extracted input data into clusters; each cluster has similar properties that assists to develop the correlation between data and as a result simplify the proposed model. The design MANFIS architecture takes both the advantages of artificial neural network which has self-learning ability and fuzzy system to describe the uncertain phenomena of the data. Finally, by combining cluster data and MANFIS an optimum velocity for left and right wheel of the robot is determined, which safely navigate the robot in an optimized route. The simulation and experimental results show that the proposed path planning method is effective and can be implemented for any complex environments. This paper identifies and describes a new development on path planning technique that will help the robots to navigate in any kind of uncertain navigation environments.
Density kernel depth for outlier detection in functional data
Authors: Hernández Nicolás , Muñoz Alberto , Martos Gabriel
Published: August 2023

In this paper, we propose a novel approach to address the problem of functional outlier detection. Our method leverages a low-dimensional and stable representation of functions using Reproducing Kernel Hilbert Spaces (RKHS). We define a depth measure based on density kernels that satisfy desirable properties. We also address the challenges associated with estimating the density kernel depth. Throughout a Monte Carlo simulation we assess the performance of our functional depth measure in the outlier detection task under different scenarios. To illustrate the effectiveness of our method, we showcase the proposed method in action studying outliers in mortality rate curves.
Secure Sharing of Medical Images using Watermarking Technique
Authors: Priyadarshini Priyanka , Naik Kshiramani
Published: August 2023

The advanced healthcare system needs to share electronic patient record (EPR) among different hospitals and specialists for better and easy treatment of patient. However, the protection of the EPR from unauthorized access and malicious attacks is primary concern to preserve the privacy and proper diagnosis. Medical image watermarking in E-health care system is a suitable technique for safety and confidentiality of EPR. In this paper the medical image is separated into region of interest (ROI) and region of non interest (RONI) part, subsequently additive encryption technique is applied to embed patient record into ROI part of cover media. Backup of original information is embedded into RONI part for tamper detection. Thereafter visible hospital logo is embedded into watermarked medical image for identification purpose. Result of this algorithm tested over few medical images and that produces effectiveness of data payload and integrity.
A two-stage approach to the multiple-agent orienteering problem with stochastic weight and capacity constraints
Authors: Liu Xinrui , Luo XingGnag , Zhang Zhongliang , Hu Yuning , Hang Hang
Published: August 2023

The Multiple-Agent Orienteering Problem with Capacity Constraints (MAOPCC) is one kind of routing problem that finds applications in both tourism and transportation industries. The MAOPCC aims to find feasible routeS with maximum profit considering time constraints. In this paper, we extend the MAOPCC to the Multiple-Agent Orienteering Problem with Stochastic Weight and Capacity Constraints (MAOPCCSW) to address the uncertainty in practical situations. The problem is solved using a two-stage stochastic model with recourse and hard time constraints. The model considers the effect of stochastic weights on the expected total profit value during the modeling stage. The two-stage model is solved with Sample Average Approximation (SAA), which converges to the optimal solution with a high computational cost. Therefore, for solving large instances, a heuristic method is developed, which utilizes the problem structure of the MAOPCCSW and explicitly considers relevant uncertainties. In our experimental analysis, we demonstrate the effectiveness of the MAOPCCSW method, which outperforms both the standard deterministic method and the deterministic method amended with real-time information.
Audio-Biofeedback Versus the Scale Method for Improving Partial Weight-Bearing Adherence in Healthy Older Adults: a Randomised Trial
Authors: von Aesch Arlene Vivienne , Häckel Sonja , Kämpf Tobias , Baur Heiner , Bastian Johannes Dominik
Published: August 2023

Background
Adherence to partial weight-bearing prescription is poor, especially amongst older adults taught with traditional methods. Reasons for this remain unclear and improvements to the instruction of partial weight-bearing are necessary. This randomised controlled trial aimed to investigate how the use of audio-biofeedback during the instruction of partial weight-bearing affected adherence to a weight-bearing limit of 20 kg, compared to the scale method, in older adults.
Methods
The primary outcome measure was the amount of loading of the partial weight-bearing leg during functional mobility activities, measured as the ground reaction force in Newtons and converted to kilograms. Included were healthy volunteers 60 years of age or older without gait impairment. Participants were randomised into two groups. Blinding was not possible. Partial weight-bearing of 20 kg using crutches was trained with audio-biofeedback (intervention group) or a bathroom scale (control group). The degree of weight-bearing was measured during functional mobility activities (standing, sit-stand-sit, step-up/down and walking) with OpenGo sensor insoles (Moticon ReGo AG, Munich, Germany). A mean load between 15-25 kg was defined as adherent. Weight, height, cognitive function and grip strength were measured. Linear regression analyses were performed to identify factors influencing adherence.
Results
Thirty volunteers (16 females, 71±6 years, weight 74±17 kg; height 169±9 cm) participated in the trial, fifteen participants in each group. There were no drop-outs. There was no statistically significant difference in weight-bearing between both groups for the activities measured. For the sit-stand-sit activity, weight-bearing for the audio-biofeedback group (21.7±16.6 kg) and the control group (22.6±13 kg) were within the target range. For standing, loading was below the lower threshold (10±7 vs. 10±10 kg). Weight-bearing was above the upper threshold for both groups for: walking (26±11 vs. 34±16), step-up (29±18 vs. 34±20 kg) and step-down (28±15 vs. 35±19 kg). Lower cognitive function, older age, and higher body mass index were associated with poorer adherence to partial weight-bearing. There were no incidents or harms during the trial.
Conclusion
Audio-biofeedback delivered no statistically significant benefit over the scale method. Lower cognitive function, older age and higher BMI were associated with poorer adherence to partial weight-bearing instructions.
Trial registration
Not applicable due to the cross-sectional design (one measurement point, no intervention).