bluuebunny/crossref_metadata_2025 huggingface dataset:
Economic and environmental efficiency of drill cuttings processing in oil and gas drilling operations
Authors: Cherepovitsyn Alexey , Lebedev Andrey
Published: August 2024

The current situation in the world's energy balance is that hydrocarbon energy continues to occupy a major niche. As a result, oil and gas companies continue to increase the volume of oil and gas exploration and production operations, thereby increasing the share of recoverable hydrocarbon reserves. In parallel to these processes, the global energy industry is trying to create a balance in the consumption of «dirty» and generation of «clean» energy. In other words, society is striving for sustainable development, in which environmental and social aspects are particularly important. Consequently, energy producers with high emissions and waste generation have obligations to minimize and prevent them. For example, drilling oil and gas wells generates wastes that are difficult to utilize due to their multi-component composition. To date, the utilization of such wastes, otherwise known as drill cuttings, is carried out by methods aimed at achieving economic efficiency and reducing the burden on the environment. This paper considers methods of utilization of drilling waste generated as a result of operational activities of oil and gas companies, in particular, during drilling. The purpose of the work is to determine the possible economic and environmental effects from the application of drilling waste utilization technologies. The object of the study is drilling wastes of oil and gas companies. The authors analyzed the works of domestic and foreign researchers in the field of drilling waste management. On the basis of literature review the reasons of technological difficulties of waste utilization are described. The advantages and disadvantages of drilling cuttings utilization methods, as well as economic and environmental prerequisites for their effective utilization are revealed.
Development of measures to improve the efficiency of a fitness corporation
Authors: Nikolaev Igor
Published: August 2024

This publication is devoted to the issue of ensuring the economic security of a sports organization (fitness corporation). Particular attention is paid to the role of information and analytical support for economic security. The author notes that the competitive environment in the sports recreation market enters as the main object of research when implementing information and analytical support for the safety of a sports organization. The article focuses on the fact that the role of information and analytical support for the safety of a sports organization is high due to the high intensity of competition in the fitness services industry and the use of aggressive methods in competition; challenges faced by the Russian fitness industry. Special attention in the article is paid to the analysis of the process of information and analytical activities in a fitness corporation. The author argues that due to the absence of a separate business unit engaged in information and analytical support for economic security, some difficulties arise when setting, adjusting the problem and communicating the results of the research to the decision maker. The article also identified threats to the economic security of the organization. According to the author, the market for fitness services is rapidly changing due to the current geopolitically unstable situation in the world. Therefore, there are often cases when information becomes outdated, and, accordingly, the results of its analysis, even before these results are provided to the manager or decision maker. The author believes that it is advisable to create an information and analytical department within the economic security service. In addition, the author proposed a number of measures to improve the efficiency of information and analytical support for the economic security of a fitness corporation. The final part of the article presents calculations of the effectiveness of the proposed measures.
Directions and resources for the development of the procurement industry of consumer cooperation of the Republic of Bashkortostan
Authors: Ilʹyasov Vener , Shagapova Svetlana , Arustamov Eduard , Valigurskiy Dmitriy
Published: August 2024

The article analyzes the conditions of the imposed economic sanctions against Russia, estimates the reserves for increasing food resources located in the private sector of agricultural production, including in private subsidiary farms of the rural population. This necessitates the activation of procurement activities of consumer cooperatives.
The activities of consumer cooperation organizations are traditionally directly related to the welfare of the rural population of the country. Consumer societies not only ensure the sale of goods and services to the rural population, produce various agricultural products, but also contribute to the development of personal subsidiary farms by purchasing and processing agricultural products and raw materials produced on farms.
At the present time, the procurement industry of consumer cooperation is solving important tasks to implement the state strategy of replacing imported food products with domestic ones, developing rural areas and raising the standard of living of the rural population.
ÁRVORE DE HABILIDADES: PROPOSTA DE GAMIFICAÇÃO APLICADA EM UM CURSO DE LICENCIATURA
Authors: Fraga Vinicius , Almeida Caio de , Braga Eduardo , Pereira Marcus Vinícius
Published: August 2024

Assumir que estudantes possuem características sociais, culturais e emocionais e habilidades específicas, bem como estilos e ritmos de aprendizagem próprios, demanda uma concepção de mudança didática permanente para que o docente não limite suas ações criativas e possa contemplar as necessidades de seus estudantes. Entretanto, devido a fragilidades no processo formativo e à falta de práticas de adoção de outras metodologias, há docentes que restringem ações e não possibilitam a participação ativa e autônoma dos estudantes no processo de aprendizagem. Considerando que a escolha da estratégia influencia na aprendizagem, faz-se necessário que professores, desde a formação inicial, desenvolvam conhecimentos sobre as mais diversas metodologias. Com esse intuito, desenvolveu-se uma estratégia de ensino gamificada denominada Árvore de Habilidades, que consiste num conjunto de percursos ramificados com caminhos metodológicos próprios e relacionados ao saber docente, que, ao serem percorridos, se concretizam em produtos relacionados aos processos de ensino. A Árvore de Habilidades foi aplicada numa turma de um curso de Licenciatura em Química com objetivo de verificar a motivação e o engajamento. Como resultados, a estratégia se mostrou um ambiente facilitador da motivação e do engajamento ao proporcionar diferentes formas de interação no desenvolvimento dos produtos e respeitar preferências específicas quanto ao seu estilo de aprendizagem.
Avaliação ultrassonográfica automatizada da tireoidite de Hashimoto usando inteligência artificial
Authors: Oliveira Luisa Correia Matos de , Oliveira Gabriela Correia Matos de , Oliveira Luis Matos de , Figueiredo Adriana Malta de , Andrade Luis Jesuino de Oliveira
Published: August 2024

Introdução: A ultrassonografia da tireoide fornece informações valiosas para distúrbios da tireoide, mas é dificultada pela sua subjetividade. A análise automatizada utilizando grandes conjuntos de dados é uma grande promessa para avaliação objetiva e triagem padronizada, classificação de nódulos tireoidianos e monitoramento de tratamento. No entanto, permanece uma lacuna significativa no desenvolvimento de aplicações para a análise automatizada da tireoidite de Hashimoto (TH) por meio de ultrassonografia. Objetivo: Desenvolver um algoritmo automatizado da análise ultrassonográfica da tireoide (AUST) utilizando a linguagem de programação C# para detectar e quantificar características ultrassonográficas associadas à TH. Materiais e Métodos: Este estudo descreve o desenvolvimento e avaliação de um algoritmo AUST utilizando programação C#. O algoritmo extrai características relevantes (textura, vascularização, ecogenicidade) de imagens de ultrassonografia pré-processadas e utiliza técnicas de aprendizado de máquina para classificá-las como “normais” ou indicativas de TH. O modelo é treinado e validado em um conjunto de dados abrangente, com desempenho avaliado por meio de métricas como precisão, sensibilidade e especificidade. As descobertas destacam o potencial deste algoritmo AUST baseado em programação C# para oferecer avaliação objetiva e padronizada para o diagnóstico de TH. Resultados: O programa pré-processa imagens (conversão em escala de cinza, normalização, etc.), segmentos da tireoide, extrai características (textura, ecogenicidade) e utiliza um modelo pré-treinado para classificação ("normal" ou "suspeita de tireoidite de Hashimoto"). Usando uma imagem de amostra, o programa pré-processou, segmentou e extraiu recursos com sucesso. A classificação prevista (“suspeita de TH”) com alta probabilidade (0,92) alinha-se ao diagnóstico pré-estabelecido, sugerindo potencial para avaliação objetiva da TH. Conclusão: O algoritmo AUST baseado em programação C# detectou e quantificou com sucesso as características da TH, mostrando o potencial da programação avançada na análise de imagens médicas.
A Taxonomic Treatment of Parinari (Chrysobalanaceae) in the Atlantic Forest, Brazil
Authors: Barbosa-Silva Rafael Gomes
Published: August 2024

Abstract —Parinari is a pantropical genus with 39 species of mostly emergent trees. Nineteen species are found in the Neotropical region, with a taxonomic history complicated by several species complexes and little morphological variation. In this paper, I conducted
a taxonomic treatment of species of Parinari that occur in the Brazilian Atlantic Forest, including an identification key, species descriptions, distribution maps, and preliminary conservation status for each taxon. Additionally, new floral characters not previously explored in the
taxonomy of the genus are introduced. Four species of Parinari are recognized in the Atlantic Forest, while P. leonthopitheci is synonymized, and names incorrectly applied to the Parinari excelsa complex are investigated. Parinari pohlii, a taxon treated for 50 yr
as a synonym of P. brasiliensis, is reestablished, and lectotypes are designated for both names. Preliminary conservation status assessments indicate that three species are likely Endangered (EN): P. alvimii, P. littoralis, and P. pohlii. Finally, I indicate the
exclusion from the treatment of two taxa, Parinari excelsa and Parinari parvifolia that do not occur in the Atlantic Forest but were erroneously identified in herbarium collections and in the literature.
Phylogenetic Relationships of Brachistus and Witheringia (Solanaceae)
Authors: Stone Judy L. , Flores Jeffrey , Bohs Lynn
Published: August 2024

Abstract— The neotropical physaloid genera Witheringia and Brachistus have long been subject to taxonomic confusion. We obtained tissue from well-documented species of these genera, including multiple accessions from widespread taxa, to generate a molecular
systematic framework. We present Bayesian phylogenies based on sequences of one chloroplast (trnL-trnF) and two nuclear loci (ITS and waxy). The major findings are that: 1) Witheringia and Brachistus together form a well-supported monophyletic group, 2) Brachistus
is nested within Witheringia, 3) two Mexican endemic species represent the earliest diverging lineages of the clade, 4) several proposed synonyms represent distinct species, and 5) sequenced accessions include several new species awaiting description. The four currently recognized species
of Brachistus are transferred to Witheringia, necessitating the new combination Witheringia knappiae, and Athenaea affinis is lectotypified. A list is also provided for names now excluded from Brachistus and recognized as belonging to other genera.
Molecular and Taxonomic Reevaluation of the Digitaria filiformis Complex (Poaceae), Including a Globally Extinct, Single-Site Endemic from New Hampshire, USA, and a New Species from Mexico
Authors: Nichols William F. , Barrett Craig F. , Wipff Joseph K. , Sánchez-Ken Jorge Gabriel , Knapp Wesley M. , Sigel Erin M. , Kosslow Lauren , Corbett Cameron
Published: August 2024

Abstract— We examine the Digitaria filiformis complex to determine the proper taxonomic rank and conservation status of each member. The taxonomy of the D. filiformis complex is debated and includes two widespread taxa, D. filiformis var. filiformis
and D. filiformis var. villosa; a rare taxon of southern Florida and the West Indies, D. filiformis var. dolichophylla; and a possibly extinct taxon that supposedly is a single-site endemic in New Hampshire, USA, D. filiformis var. laeviglumis. We
conducted molecular analyses and morphologic comparisons of the four members of the D. filiformis complex, together with specimens from Venezuela (morphology only) and Mexico purportedly identified as D. filiformis var. laeviglumis. Based on results of phylogenetic analyses
of plastid and nuclear ITS sequences and morphologic comparisons, we elevated taxonomic ranks, recognizing four species in the D. filiformis complex, and circumscribe the Mexican species D. glabrifloris (sp. nov.). Digitaria dolichophylla is much rarer than previously
recognized, moving from Secure Globally to Imperiled with extinction (G2). After research and field investigations, we changed the global rank of D. laeviglumis from Globally Historical (GH) to Globally Extinct (GX), as there is virtually no likelihood of rediscovery.
Investigation of Caffeine Degradation by Anodic Oxidation Using Boron-Doped Diamond Electrode
Authors: Değermenci Gökçe Didar
Published: August 2024

In this study, the purification of caffeine by electrochemical oxidation, one of the advanced oxidation processes, was systematically investigated. A boron-doped diamond electrode was used as the anode, which has a high potential for the production of large amounts of hydroxyl radicals. The effects of applied current density, initial pH, supporting electrolyte concentration, cathode type, anode-cathode distance, and initial caffeine concentration were evaluated. The results showed that the electrochemical degradation rates of caffeine follow pseudo-first-order kinetics, with rate constants ranging from 0.0154 to 0.0496 min-1 depending on the operating parameters. The applied current density and the electrolysis time proved to be the most important parameters influencing both caffeine degradation and energy consumption. However, varying the initial caffeine concentration and the concentration of the supporting electrolyte also influenced the caffeine degradation rates. Changing the anode-cathode distance and the type of cathode has no effect on the rate of caffeine degradation, but it does have an effect on energy consumption. A current density of 20 mA cm-2, a supporting electrolyte concentration of 50 mM K2SO4, an anode-cathode distance of 2 mm, a cathode type of stainless steel, and an initial solution pH of 3 were found to be optimal values for the degradation of a solution containing 25 mg L-1 caffeine in 45 minutes using a boron-doped diamond anode. Finally, it was found that the pH value of the solution tended to increase during electrolysis.
Enhancing Industrial Robot Arms Data Security with a Hybrid Encryption Approach
Authors: Erbil Mustafa Emre , Özkahraman Merdan , Bayrakçı Hilmi Cenk
Published: August 2024

In the context of the widespread application of robotics technology across numerous industrial sectors, the security of data communication in industrial robot arms emerges as a paramount concern. These robotic arms are instrumental in enhancing productivity and safety in a variety of fields, including but not limited to transportation, agriculture, construction, and mining, by automating tasks and reducing human exposure to hazardous conditions. This paper proposes a novel hybrid encryption strategy to fortify the data security of these industrial robot arms, particularly focusing on preventing data breaches during both wired and wireless communications. The suggested encryption framework combines the strengths of Elliptic Curve Cryptography (ECC) for its efficient asymmetric encryption capabilities, ChaCha20 for its rapid and low-energy symmetric encryption, and Poly1305 for ensuring data integrity through its message authentication code (MAC) algorithm. By leveraging these technologies, the paper outlines the development and application of a secure communication protocol, implemented using Python, that guarantees the confidentiality and integrity of data shared among robot arms and between these arms and their control systems. Additionally, the research conducts a comparative analysis between the ECC-based method and the RSA encryption standard, highlighting the efficiency and effectiveness of the proposed hybrid approach through various tests on different data types and sizes. The findings illustrate a marked improvement in safeguarding against potential data leaks, thereby significantly contributing to the enhancement of industrial robot arms' data security. This study not only addresses the pressing need for robust data protection mechanisms in the face of evolving cyber threats but also sets a benchmark for future research in the field of industrial robotics security.
Yoğuşma konusundaki literatüre genel bakış
Authors: Bilen Kemal , Erdoğan İsmail , Özgüç Feridun
Published: August 2024

Faz değişiminin gerçekleştiği ısıtma ve soğutma sistemlerinde daha fazla ısı geçişinin meydana gelmesi, araştırmacıları bu alanda çalışmaya yönlendirmiştir. Teknolojik gelişmeler ise faz değişiminin; düzlemsel yüzeylerden eğrisel yüzeylere, geniş kanallardan mikro kanallara kadar birçok geometride meydana gelmesi zorunluluğuna yol açmıştır. Bu nedenle bu literatür araştırması kapsamında; pratikte, çeşitli geometrilerde sıklıkla karşılaşılan yoğuşma, kapsamlı bir şekilde incelenmiştir. Literatürdeki hem teorik hem de deneysel araştırmaların incelendiği bu çalışmada; 3 kitap, 1 teknik not, 11 literatür araştırma makalesi ve 119 araştırma makalesi olmak üzere toplam 134 adet kaynak gözden geçirilmiştir. İncelenen kaynaklar arasında, Nusselt’in 1916 yılında yayımladığı yoğuşma alanındaki öncü makalesinden yoğuşmanın mekanizmasının incelendiği temel çalışmalara kadar geniş bir yelpazede çalışmalar yer almaktadır. Bu çalışmalardaki; düzlemsel bir yüzey üzerindeki yoğuşmadan bir kürenin yüzeyindeki yoğuşmaya, dış akışta yoğuşmadan iç akışta yoğuşmaya, su buharının tek başına yoğuşmasından kolayca yoğuşmayan bir gazın varlığında gerçekleşen yoğuşmaya kadar tüm durumlar, oluşturulan bir tablo yardımıyla istatistiksel olarak analiz edilmiş, çeşitli grafikler oluşturulmuş ve yorumlanmıştır. Ayrıca, gözden geçirilen ve 1959 ila 2023 tarih aralığını kapsayan çalışmalarda Nusselt sayısı (Nu) veya ısı taşınım katsayısı (h) için geliştirilmiş toplam 28 adet korelasyon, bu alanda çalışan araştırmacılara yararlı olacağı düşüncesiyle kısıtlamalarıyla birlikte tablo halinde verilmiştir.
Phylogenesis of Small Ruminant Lentiviruses: a systematic review protocol v2
Authors: Pavone Silvia , Gobbi Paola , Orso Massimiliano , Giammarioli Monica
Published: August 2024

Small ruminant lentiviruses (SRLV) include the closely related Visna-Maedi virus (VMV) and caprine arthritis encephalitis virus (CAEV), which infect sheep and goats. These viruses cause huge economic losses in the small ruminants industry, affecting production and animal welfare. To date, there are five recognized SRLV genotypes (A, B, C, D, and E), based on nucleotide sequences derived from gag, pol, env, and LTRs regions and several subgenotypes. Thanks to the improvement of molecular studies, the knowledge on genetic characterization and phylogenesis of SRLVs has increased since the 1990s. However, using different protocols among the various studies produced problems concerning the exact placement of subgenotypes in the phylogenetic tree. This systematic review protocol aims to define strict selection criteria and critical appraisal of published studies to perform a critical synthesis of all knowledge on the phylogenesis of SRLVs following the PRISMA-P guidelines. Eligibility criteria, information sources, search strategy, data management, selection process, data collection process, data extraction, outcomes and prioritization, studies quality assessment, and data synthesis will be performed. Thank the systematic review, an updated overview of the phylogenesis of SRLVs will be performed, and the best reliable molecular approach in diagnosis and research may be highlighted.
Generating Nuclei Segmentations for vEM datasets using Cellpose v1
Authors: Avetissian Emma , Petruncio Alyson , Rhoades Jeff , Weigel Aubrey , Project Team CellMap
Published: August 2024

This protocol details the process of generating nucleus segmentations in FIB-SEM (Focused Ion Beam Scanning Electron Microscopy) image stacks of cells and tissues using Cellpose. These segmentations are crucial for gaining biological insights and training deep learning models on cell and organelle segmentation. The protocol covers the application of Cellpose for fine-tuning 2D models specifically for nuclei segmentation. Once fine-tuned, the model is used to generate 3D predictions for the entire dataset. These segmentations can be further refined through manual approaches, utilized for visualization, or employed in training other machine learning models.
Hacia la Investigación/Performance
Authors: Casal Ana
Published: August 2024

Este trabajo plantea un nuevo modelo de investigación en el campo de las artes, la investigación/performance, que busca desestabilizar las relaciones binarias impuestas por la tradición científica patriarcolonial y estrechar los puentes entre la investigación artística y la teoría/práctica feminista como parte de un proyecto macro y micropolítico de despatriarcalización y descolonización de la academia. A partir de los aportes de importantes teóricas feministas, y de la conceptualización de la performance, se plantea una investigación encarnada, performática y performativa, en la que el proyecto artístico es presentado como un modo de, a la vez, generar y compartir conocimiento-saber. La producción artística se comprende, así, como teoría expandida o una forma de hacer teoría por otros medios. El propósito de las investigaciones, en este marco, es multiplicar las preguntas, abrir conversaciones y provocar reverberaciones entre cuerpos -humanos, no humanos y más que humanos- para construir múltiples saberes y desmantelar las jerarquías binarias (sujeto-objeto, teoría-práctica, contenido-forma, mente-cuerpo, razón-sensibilidad, entre otras) que siguen constriñendo hoy la investigación artística.
Challenges and Solutions in Qualitative Big Data Research: A Methodological Literature Review
Authors: Suvivuo Sampsa ,   Aalto University School of Business, Tuunainen Virpi K. ,   Aalto University School of Business
Published: August 2024

The digitalization of our daily lives has considerably increased the amount of digital (trace) data on people’s behaviors that are available to researchers. However, qualitative methods that require manually perusing each document struggle with the width and breadth of such data. Although quantitative and qualitative big data share many challenges, we identified the practical challenges encountered by researchers, specifically with qualitative big data, and how these challenges were addressed. We reviewed 169 studies that used qualitative big data and identified three main categories of intertwined challenges: locating relevant data, addressing noise in the data, and preserving data richness. We found that the greater the amount of data and the richer they are, the greater the variety of types and sources of noise. While the volume of the data necessitates the use of algorithms, doing so entails the treatment of data in ways that decrease the richness of qualitative data. Furthermore, simultaneously ensuring high richness and veracity might be difficult because the algorithms are probabilistic, thus compelling researchers to balance the desired levels of volume, variety, and veracity. Although the identified solutions cannot completely solve this tripartite balancing, they can still be used to alleviate different aspects of such a challenge.
Significant Economic Institutions in the Era of the Soviet State
Authors: Chupilkina A. F.
Published: August 2024

The paper describes the economic institutions that gave striking economic results in the development of Soviet statehood: the USSR State Planning Commission, the national heritage, the right to work. The USSR State Planning Commission was the engine of the Soviet economic miracle that had no analogues in world economic and political history. The core of economic interests and needs is the institution of property law. Ownership is the main institution in the economic organization of state-hood. Legally, the Soviet era began constitutional innovations, where private property and the entire land fund was declared a national (peoples’) heritage. This historical and political thread was reproduced in the legislation of the Soviet Union throughout its existence and was interconnected with the results of the work of the USSR State Planning Commission: the objects of planning for Soviet economic development were primarily the national heritage, and the main subjects of the planned market were large-scale state enterprises organized on the basis of the national heritage, creating high income for the development of high rates of industrial economy and raising the living standards of the population. The right to work on a 70-year scale of the history of the USSR, the right to work and its state security had an unconditional socio-economic effect both for citizens and for the country as a whole. The constitutionally guaranteed right to paid work in accordance with its quantity and quality was indeed provided by the socialist organization of the national economy. The most significant role in the growth of workers was played by five-year plans for the development of the national economy — the so-called «five-year plans.» The author urges not to forget the achievements of the economic system of the past, and highlights that both the human factor as a whole and the role of an individual — the Head of State who historically determines the vector for the life of the entire state organism — is of tremendous importance in the economic movement of the country.
The RSFSR Code on Marriage and Family of 1969: The Code Development and Application Practice
Authors: Mun V. A. , Gordeev A. G.
Published: August 2024

The paper analyzes measures aimed at supporting and strengthening the family discussed in the process of developing the RSFSR Code on Marriage and the Family of 1969, as well as the specifics of their further implementation in practice. It is noted that serious changes in the socio-economic and political development of the country, caused by post-war changes in the usual way of life, predetermined the need for a consistent and flexible policy on the part of the state in relation to family well-being. Over the period from the 1940s to the 1960s lasted the period of development of a new marriage and family code. During this time, various government commissions and working groups were formed, several versions of the draft law were considered. The materials of the discussion of the drafts show that the legislators were guided primarily by the idea of involving fathers in families, as well as ensuring the interests of children and families. Thus, from now on, early marriages were allowed, the possibilities of establishing paternity in court and voluntarily expanded significantly. The unpopularity of implementation of those measures in practice was explained by the lack of awareness of the population. To eliminate this problem, significant work was done to study the new legislation, explain it to the population and implement it. However, in the future, there was still an increase in the number of divorces, an increase in malicious failures to pay child support and alimony. The author analyzes the practice of applying innovations and elucidates other problems in the implementation of these provisions. The root cause of the «blockage» of cases for the recovery of alimony and the increase in the number of malicious defaulters was that for a long period of time there was no social concept of paternity. The experience of building a relationship with the father was not formed, not as a «holder,» but as a parent whose relationship is valuable regardless of marriage registration and material support.
The Mechanism of Control over the Activities of Executive Authorities in the Russian Federation
Authors: Kazakov N. D.
Published: August 2024

To date, the prospect of reform of both state and non-state control has become acute. To solve this problem, an integrated approach is required. This should include improvement of forms and methods of control and supervisory activities, analysis of ways to increase their effectiveness. To ensure stability and development in society, the state needs to carry out control measures using control functions. These functions include coverage of areas such as economic, social and political.
Hemodynamic periodontal changes in the treatment of chronic generalized periodontitis using polarized polychromatic light
Authors: Nekrasova Elizaveta F. , Garazha Sergej N. , Khubaev Zelimkhan S. , Grishilova Elena N. , Ivashova Alla V. , Gotlib Angelina O.
Published: August 2024

Background: Ineffective treatment of inflammatory periodontal diseases is a significant medical and social issue. Previous research have shown that improved vascular response and local immunity activation are crucial for the treatment of periodontal diseases. This can be accomplished using polarized polychromatic light. However, the effect of polarized polychromatic light on microhemocirculation in periodontal tissues is poorly understood.
Aim: To assess microhemodynamic changes in periodontal tissues in the treatment of mild chronic generalized periodontitis using polarized polychromatic light.
Materials and Methods: A complex dental examination and treatment were performed in 70 patients (32 males and 38 females) with active chronic generalized periodontitis aged 20 to 59 years. The study had two groups (35 subjects each) based on treatment approaches. Group 1 received professional oral care and a course of antimicrobial therapy using Dentamet dental gel. Group 2 received antimicrobial therapy in combination with polarized polychromatic light therapy (wavelength 480–3,400 nm, power 40 mW/cm2, flux density 2.4 J/cm2 per minute, polarization 95%). Laser Doppler flowmetry was used to assess hemodynamics before treatment, as well as 3, 6, and 12 months after treatment.
Results: Group 1 demonstrated an improvement in microcirculation parameters for up to 3 months (p=0.0027). In group 2, an improvement was observed for up to one year (p=0.0455).
Conclusion: Polarized polychromatic light therapy in mild chronic generalized periodontitis improves microhemocirculation in periodontal tissues, increasing the efficacy of drug therapy.
Pain after cesarean section: do we have reliable predictors? Scoping review
Authors: Shindyapina Nataliya V. , Marshalov Dmitry V. , Shifman Efim M. , Kuligin Alexander V.
Published: August 2024

BACKGROUND: Every year, the number of publications devoted to the study of various tools for predicting the intensity of pain after cesarean section is growing, which necessitated the generalization and systematization of these data.
OBJECTIVE: Our aim was to identify factors contributing to high-intensity pain after cesarean section (CS).
MATERIALS AND METHODS: a scoping review based on the PRISMA for Scoping Reviews (PRISMA-ScR) guidelines was conducted using PubMed, Cochrane Database of Systematic Reviews, and Google Scholar. The search was performed using the following keywords: “predictors” OR “prediction” OR “forecasting” AND “cesarean section” AND “pain”) in Russian and English, last search date November 30, 2022. The inclusion criteria for the review were formulated using the PICOD method: (P) population: postpartum women; (I) intervention: CS surgery; (C) comparison: surgical approach, anesthesia method, psychological status, pain threshold, genetic characteristics; (O) outcomes: pain intensity scores, analgesic requirements; (D) study design: prospective/retrospective cohort studies. Exclusion criteria were as follows: lack of sufficient data or outcome of interest; duplicate publication; chronic pain; publications devoted to pain relief during childbirth or pain after other surgical interventions; lack of full-text version; reviews and meta-analyses. The quality of selected non-randomized cohort studies was assessed using the Newcastle-Ottawa Scale (NOS).
RESULTS: 30 cohort studies were selected, involving 11,063 patients. Most studies were assigned an NOS score of 6 to 8, which was considered good quality. Two groups of factors were identified as predictors of the intensity of postoperative pain: factors associated with the characteristics of the patient (physical status, psychological status, individual pain threshold and pain tolerance, genetic characteristics) and factors associated with the characteristics of the operation and anesthesia.
CONCLUSION: the scoping review allowed us to identify reliable factors predicting high-intensity pain after CS, which should be taken into account when planning anesthesiological care for patients.
Puesta en funcionamiento, control regulatorio y modelado de métricas de rendimiento de un sistema de destilación por membranas a escala comercial
Authors: Sánchez Sánchez Pedro , Gil Vergel Juan Diego , Andrés Mañas Juan Antonio , Zaragoza Guillermo , Sánchez Molina Jorge Antonio , Berenguel Manuel
Published: August 2024

La destilación por membranas es un método de desalación térmica con diferentes nichos de aplicación potenciales, como es el tratamiento de salmueras de los sistemas de ósmosis inversa. Este trabajo presenta la puesta en funcionamiento, control y modelado preliminar de un sistema de destilación por membranas a escala comercial, localizado en las instalaciones de la infraestructura Agroconnect de la Universidad de Almería. En concreto, se diseña e implementa un sistema de control directo con fines de regulación de caudal y temperatura. Posteriormente, haciendo uso de este sistema de control directo, se presentan diferentes resultados de control en torno a puntos de operación estáticos de la unidad de destilación por membranas, los cuales se usan para caracterizar de forma preliminar su producción de permeado y eficiencia térmica usando la metodología de superficie de respuesta. Los modelos resultantes de esta caracterización se presentan como herramientas fundamentales para la optimización en tiempo real del sistema a través de estrategias de control jerárquico adecuadas.
Generación de movimientos oceánicos para pruebas sistemáticas con Plataforma Stewart
Authors: Silva Muñiz Diego , Garrido Campos Julio , Riveiro Fernández Enrique , Rivera-Andrade Josué Roberto
Published: August 2024

En esta investigación se emplea una plataforma Stewart desarrollada por el grupo de investigación con el fin de poder emular condiciones oceánicas para realizar pruebas sistemáticas. Específicamente, se generan los movimientos oceánicos basándose en el espectro de energía de las olas JONSWAP y el modelo armónico simple de la superficie marina derivado del espectro, como superposición de ondas regulares. De esta forma se obtiene una ola irregular. La contribución también incluye la implementación utilizando únicamente los recursos disponibles en un controlador industrial, sin usar software externo. En la fase de resultados, se muestran dos movimientos generados y se comparan con los obtenidos con un sensor MRU y la cinemática directa calculada en el propio controlador industrial. Como trabajo futuro, se plantea expandir la generación a espectros bidimensionales.
Planificación de trayectorias 4D para UAVs basada en Fast Marching Square
Authors: López Palomino Blanca , Moreno Lorente Luis Enrique
Published: August 2024

Los enjambres de vehículos aéreos no tripulados (UAVs) se están convirtiendo en una herramienta fundamental en diversos campos de aplicación, tales como la vigilancia aérea, la búsqueda y rescate en zonas urbanas y la entrega de mercancía. En este marco, la planificación de trayectorias sigue siendo una de las principales preocupaciones en aplicaciones robóticas complejas. Este trabajo presenta un algoritmo de planificación de rutas 4D, basado en el método de Fast Marching Square (FM2), para sistemas multi-UAV en entornos tridimensionales. El algoritmo 4D-FM2 incorpora una función de velocidad dependiente del tiempo dentro del marco del algoritmo Fast Marching (FM). El algoritmo propuesto fue probado en un escenario urbano simulado y los resultados muestran que este planifica de manera efectiva soluciones seguras y óptimas al problema de planificación de trayectorias para UAVs, evitando obstáculos y otros drones, incluso en situaciones complejas.
Integración ConvNeXt-YOLO mediante CVV para detectar caídas en robot social
Authors: Sánchez-Girón Celia , García Gómez Miguel , Duque Domingo Jaime , Gómez García-Bermejo Jaime , Zalama Casanova Eduardo
Published: August 2024

Cada vez más personas mayores optan por vivir en su hogar, lo que ha generado una necesidad crítica de asegurar entornos seguros para esta población. Las caídas representan una de las principales causas de lesiones entre los adultos mayores. Con este estudio se busca detectar caídas implementando un sistema de visión, que puede ayudar a prevenir futuras caídas detectando potenciales problemas de salud. Aquí se propone una metodología basada en el uso de modelos de aprendizaje profundo, específicamente utilizando la técnica de Cross Validation Voting, para mejorar la generalización y la precisión en la detección de caídas a partir de imágenes. El modelo planteado ha conseguido una exactitud de un 92.95% y una pérdida del 0.1885 para el conjunto de test. El sistema de detección de caídas ha sido integrado en el robot social Temi, que se introducirá en el domicilio de los usuarios para monitorear continuamente su bienestar y proporcionar asistencia inmediata en caso de detectar una caída.
Singularidades en robots paralelos:
Authors: Pulloquinga Zapata José Luis , Mata Amela Vicente , Vallés Miquel Marina , Valera Fernandez Ángel
Published: August 2024

Gracias a su precisión y su gran capacidad de carga, en la actualidad el uso de robots paralelos en aplicaciones de interacción humano-robot es habitual. No obstante, en su espacio de trabajo pueden aparecer configuraciones problemáticas (singularidades Tipo II) donde se pierde el control del robot, comprometiendo la seguridad y limitando las técnicas de control aplicables. En este artículo, se establecen criterios clave para la detección y evasión de singularidades Tipo II en tiempo real. De la misma forma, se presenta la implementación de un algoritmo de evasión de singularidades Tipo II con un control de fuerza-posición en un robot paralelo de 4 grados de libertad para rehabilitación de rodilla. El algoritmo de evasión detecta las singularidades Tipo II midiendo la posición del efector final e identificando los actuadores responsables de la singularidad. Los resultados obtenidos verifican la efectividad de los puntos clave propuestos en el desarrollo aplicaciones de interacción humano-robot en tiempo real para rehabilitación física con robots paralelos.
Interfaz gráfica para monitorización, control y teleoperación de robots móviles
Authors: Vilella Cantos Judith , Ballesta Mónica , Valiente David , Gil Arturo , Máximo Míriam , Reinoso Óscar
Published: August 2024

El presente artı́culo tiene como objetivo mostrar el diseño y desarrollo de una interfaz gráfica para monitorización, teleoperación y control de un robot móvil, la cual permite ver los datos de los sensores del robot además de comandarlo manualmente y realizar una planificación y seguimiento de trayectorias. La interfaz ha sido implementada sobre Foxglove Studio, una herramienta de visualización de datos de robots que trabaja sobre ROS (Robot Operating System). Para la comunicación entre la interfaz y el robot se ha hecho uso de Rosbridge, un paquete que facilita la interacción con ROS a través de Websocket. De este modo, el robot publica sus datos en el servidor Rosbridge y la interfaz es cliente de este servidor, teniendo acceso a toda la información del robot y pudiendo publicar a su vez información. La interfaz se ha desarrollado creando componentes personalizados mediante el framework React y el lenguaje de programación Typescript.
GeneraRX
Authors: Mora García Pau , Ivorra Martínez Eugenio , Alcañiz Raya Mariano Luis
Published: August 2024

Recientemente, la realidad extendida (RX) ha tomado importancia en diferentes áreas como la educación, la salud, y la industria, aumentando la necesidad de la generación de contenido 3D de calidad personalizado. Sin embargo, esta tecnología presenta un alto nivel de complejidad técnica y grandes costes asociados. Para abordar estos problemas, presentamos GeneraRX, un framework de generación automática de modelos 3D, que busca democratizar esta tecnología implementando Inteligencia Artificial Generativa (IAG) y Modelos de Lenguaje a Gran Escala (LLM). Esta herramienta incluye todos los pasos necesarios para la generación de un objeto 3D y está completamente automatizada. Además, integra métodos del estado del arte como Zero123++ y InstantMesh, así como el novedoso Llama 3. Finalmente, GeneraRX se ha validado mediante un experimento que evalúa la usabilidad a través de un test SUS, demostrando que se ha conseguido simplificar la creación de contenido 3D, permitiendo una interacción más natural para todo tipo de usuarios y eliminando las barreras técnicas.
Detección de anomalías en máquinas de corte con láser mediante redes neuronales y procesamiento de señales
Authors: Ortiz Luis , Guasque Ana , Balbastre Patricia , Simo Jose
Published: August 2024

En este trabajo se propone la evaluación de diferentes técnicas de procesamiento de información, obtenida mediante instrumentación, con el objetivo de la detección de anomalías de funcionamiento mecánico. Como punto de partida se usan datos obtenidos mediante el muestreo de un acelerómetro montado en un pórtico XYZ cuyo movimiento está controlado con motores paso a paso. A los datos obtenidos por la instrumentación se aplicarán técnicas de procesamiento digital, y redes neuronales para determinar la posibilidad de predicción en la aparición de funcionamientos anómalos en la máquina. Para la evaluación experimental de las técnicas de procesamiento de información se inyectarán diferentes tipos de fallos bajo diferentes escenarios de funcionamiento. Los resultados obtenidos se comparan cuantitativa y cualitativamente, evaluando la eficacia de cada enfoque. Las conclusiones derivadas de este trabajo contribuirán al avance en la detección temprana de anomalías en máquinas de corte con láser, brindando aplicaciones prácticas para el mantenimiento predictivo y la mejora de la eficiencia operativa.
Estimación del coeficiente de potencia en turbinas eólicas
Authors: Gutiérrez Ortega Carlos , Sarabia Ortiz Daniel , Merino Gómez Alejandro
Published: August 2024

Este trabajo se enmarca en el desarrollo de gemelos digitales en el ámbito de la generación de energía mediante parques eólicos. Para desarrollar estos gemelos y aplicarlos a distintos parques reales, uno de los problemas que aparece es la existencia de una gran variedad de turbinas eólicas con distintas características. Normalmente los fabricantes proporcionan información muy limitada, y entre los datos que se suelen suministrar, está la curva potencia-viento. Sin embargo, uno de los parámetros clave en el modelado matemático de una turbina es el coeficiente de potencia, sobre todo en las actuales, en las que la regulación de potencia se hace con el ángulo de pitch, y por tanto dicho coeficiente depende, no solo del tip-speed-ratio (TIP) sino también del ángulo de pitch. En este artículo se propone una metodología para calcular la familia de curvas del coeficiente de potencia a partir de las curvas potencia-viento de los fabricantes.
Detección de participantes del tráfico en entornos urbanos sobre imágenes RGB y nubes de puntos 3D
Authors: Montenegro Navarro Jorge , García Guillén Alberto , Castro Payán Francisco Manuel , Martínez Rodríguez Jorge Luis , Morales Rodríguez Jesús
Published: August 2024

Este artículo plantea el desarrollo de un entorno de pruebas para la detección de participantes del tráfico en entornos urbanos, mediante redes neuronales a partir del procesamiento de los datos procedentes de los sensores del vehículo: una cámara RGB y un sensor LiDAR 3D. Para ello se presenta la integración del simulador realista CARLA (Car Learning to Act), que permite la recreación de escenarios urbanos complejos, junto a ROS2 (Robot Operating System), que es un entorno para la creación de aplicaciones robóticas. En concreto, se evalúa cualitativamente el rendimiento de la red CNN (Convolutional Neural Network) YOLOv8 y la red transformadora especializada en detección DETR (Detection Transformer) para el caso de imágenes RGB. De forma análoga, para la detección de participantes del tráfico en nubes de puntos se analizan las redes PV-RCNN (PointVoxel Regional based Convolutional Neural Network) y su evolución Part-A2-Net.
Control de precisión en manipuladores móviles industriales
Authors: Núñez Calvo Naroa , Sorrosal Gorka , Cabanes Axpe Itziar , Mancisidor Barinagarrementeria Aitziber
Published: August 2024

Los avances en la industria y tecnología, así como otros factores que los rodean, han generado nuevas exigencias a la hora de fabricar. Últimamente, ha habido un aumento en el uso de los manipuladores móviles, conformado por un brazo robótico montado sobre un robot móvil, para afrontar estas nuevas necesidades. Sin embargo, aún no alcanzan las precisiones que requieren ciertas aplicaciones industriales de gran exigencia. En este artículo se identifican y presentan las fuentes de error principales que aparecen tanto en los manipuladores móviles como en los elementos que lo conforman. Asimismo, se muestran las diferentes soluciones aportadas en la literatura, definiendo sus limitaciones y planteando los retos que quedan aún por abordar. Por último, se plantea una propuesta de control acoplado para conseguir el aumento de precisión de los manipuladores móviles aunando los rasgos positivos de los sistemas que lo componen: la precisión de un brazo robótico y la movilidad que proporciona una plataforma móvil.
Protocolo para detectar el ErrP durante la marcha con exoesqueleto
Authors: Soriano-Segura Paula , García-Villalón José , Ortiz Mario , Iáñez Martínez Eduardo , Azorín José María
Published: August 2024

La presente investigación tiene como objetivo la detección del Potencial de Error (ErrP) en movimiento que se produce al detener erróneamente un exoesqueleto de miembro inferior utilizando una Interfaz Cerebro-Máquina (BMI) de imaginación motora (MI). En estos pasos iniciales, se diseña un protocolo experimental para generar potenciales ErrP y NoErrP en movimiento, previos a la parada del exoesqueleto, a través de un estímulo táctil. Posteriormente, se comparan los potenciales en el dominio del tiempo entre sesiones, entre clases y entre sujetos, mediante el cálculo del Error Cuadrático Medio (RMSE) de las señales respecto a su media y su análisis estadístico. Los resultados obtenidos determinan que no existen diferencias estadísticamente significativas entre las distintas sesiones experimentales de un sujeto pero si las hay entre sujetos. Además, la diferencia entre ambas clases varía según el sujeto y la sesión.