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Copyright of Anuario Electrónico de Estudios en Comunicación Social 'Disertaciones' is the property of Colegio Mayor de Nuestra Senora del Rosario and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of GeSec: Revista de Gestao e Secretariado is the property of Sindicato das Secretarias e Secretarios do Estado de Sao Paulo (SINSESP) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

For years now, the increasing development of virtual reality technologies and digitisation processes in architecture has been leading cultural heritage communication towards an increasingly sustainable and inclusive approach. In this sense, the accumulation of data and, consequently, of specific information that the models bring with them, offers the opportunity for numerous insights related to the conversion of parameters to achieve an even broader communication towards users with perceptual limitations. The topic of perception, although now intrinsic in the fundamental criteria of architectural design, may receive less public attention compared to more immediate issues like building accessibility.From a practical point of view, the most innovative technologies to improve the quality of life of blind subjects come mainly from neuroscience laboratories, also and above all to assess the impact of so-called sensory substitutional devices on brain activity. What is presented in this study is therefore to extend what are the operating principles of the above-mentioned tools and contextualise them within the domain of the perception of valuable architectural space, for an understanding of geometry and proportion through sound.DOI: https://doi.org/10.20365/disegnarecon.32.2024.18

In recent years, the practice of using laser scanners or other technologies to create point clouds describing historical artifacts has become consolidated. The purpose of these surveys method is to carefully inspect architectural heritage elements. In this contest, H-BIM approach associates the geometric objects derived from these surveys with information useful for various fields (e.g., the maintenance or history of the elements). In this contribution, an analysis is made of the data required to use BIM models in extended reality (XR) applications to optimize the data accessibility for several end users (e.g., museum visitors, frails people).DOI: https://doi.org/10.20365/disegnarecon.32.2024.9

Consumer society is characterized by consumers' insatiable desire to acquire more and more material goods. With the migration from the physical environment to the digital realm and the influence of algorithms (AI), consumerism has taken an even larger role in people's lives. Therefore, the aim of this article is to investigate how the algorithms (AI) used in Instagram advertising strategies stimulate impulse purchases. To achieve the established objectives, an exploratory and descriptive method was adopted, with literature research and field research using a questionnaire (survey) as the chosen technical procedure. Through the research, it was possible to identify, among the respondents, that the digital environment has altered their buying behaviors, intensifying impulse purchases. This is because algorithms personalize the content displayed in social media feeds, especially on Instagram, and enhance advertisements, resulting in conversions. Another aspect observed was the respondents' perception of algorithms, as they believe that excessive content personalization can create a kind of "bubble", limiting people's ability to discover new products and ideas that can expand their horizons. [ABSTRACT FROM AUTHOR]

The present article will address the introduction and influence of Artificial Intelligence (AI) in the legal and judicial field, specifically focusing on the ethical challenges that such implementation entails. We will start from the concept of AI as a complex and evolving process of autonomous information processing and decision-making, to the point of surpassing the capabilities of human intelligence itself. Having demonstrated its effectiveness and applicability in various fields and human professions, its implementation in the legal sphere, especially in the procedural domain, has become an inevitable reality and evidence of the development of the fourth industrial revolution. However, today it raises significant questions regarding its ability to comprehend and apply judgments based on ethics and morality, essential considerations for making legal decisions oriented toward the common good and justice. Therefore, we will analyze the ethical and legal challenges posed by the implementation of AI in the judicial system, emphasizing the importance of ensuring transparency, quality, and accountability in AI decision-making processes. [ABSTRACT FROM AUTHOR]

The article proposes a review of the perspective of mediations of Latin American Cultural Studies for research on audiovisual reception via streaming carried out in the context of platformization and modulation by algorithms. First, it contextualizes the subscription VoD market and its implications for the audience. It then summarizes some criticisms, in the field of reception, of the use of the idea of mediations in Martín-Barbero, suggesting a closer approach to EPC as a contribution to the questions raised. Finally, in a general critique of public policies for the segment, it defends the importance of subjects/users in the elaboration of regulation for the sector, concluding with reception studies as a tool in this sense. [ABSTRACT FROM AUTHOR]

Copyright of O Social em Questão is the property of Faculdades Catolicas - Pontificia Universidade Catolica do Rio de Janeiro and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Nativa is the property of Revista Nativa and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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This theoretical article, anchored in bibliographical and empirical research, aims to demonstrate how the Twitter Platform, due to its functionalities and operating through algorithms, benefited Jair Bolsonaro's political project during the second round of the electoral campaign in 2022 in Brazil. Through his personal profile, the former president sought to capture the function of the press, benefiting from the news value of shareability and the value-algorithm, an automated way for the machine to categorize the relevance of content on the social network. The value-algorithm on Twitter played a crucial role in Jair Bolsonaro's populist reactionary ideological anchor speech, as it grouped his supporters to fuel permanent polarization. [ABSTRACT FROM AUTHOR]

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The success of a company requires the proper functioning and reliability of its systems with machines and equipment in good condition. For this, a good preventive maintenance plan is essential, which tends to become more complex as the number of equipment and the planning horizon increases. The present work aims to develop efficient meta-heuristic algorithms for the Long-Term Preventive Maintenance Scheduling Problem (PPOMPLP). The work begins with the development of a constructive and allocation heuristic, followed by the development of local search and meta-heuristic algorithms based on Greedy Randomized Adaptive Search Procedure (GRASP), Simulated Annealing (SA), and Iterated Local Search (ILS). The performance of the proposed algorithms was compared among themselves and with those of other studies in the literature. Small fictitious instances were used to calibrate and validate the meta-heuristic algorithms. After calibration, they were applied to solve larger and real instances. The experiments showed that the ILS was the best-performing algorithm, and its result for the real instance was 40.5% better than that presented in the literature. [ABSTRACT FROM AUTHOR]

The purpose of this study is to approximate the classification process in libraries with computational thinking, a theoretical aspect present in computer science and, more recently, in other fields of knowledge such as information science. The study’s goal is to present an algorithm for precisely and computationally classifying works of children’s literature. The Content Analysis research method was used to analyze the color classification table in the document Guide for the standardization of Vila Velha school libraries network. Three analytical categories were developed a posteriori using the critical thinking skill. The study’s findings revealed three inaccuracies in the color classification table, namely: mutual coverage in classification; incompatibility in the genus-species relationship; incompatibility with the nature of information thematic representation. An algorithm was presented that allows for the precise and computational classification of works of children’s literature. The study concludes that computational thinking can be a process that organizes library classification activity, ensuring accuracy in information thematic representation due to the logical-computational character amalgamated throughout the process flow. [ABSTRACT FROM AUTHOR]

Introduction: Pathological scars occur from the hyperproliferation of fibroblasts and can be classified into hypertrophic scars and keloids. Basically, hypertrophic scars do not grow beyond the limits of the original wound, while keloids grow horizontally in a nodular form. Despite the diversity of instruments used to guide the prevention, treatment and follow-up of pathological scars, there is a need for instruments that address local realities. The objective is to carry out a narrative review of the literature on scar management algorithms and create an updated algorithm. Methods: Descriptive study of narrative literature review, with a search in PubMed, SciELO, LILACS, MEDLINE and Cochrane databases, from November 2010 to November 2020, published in English, Portuguese and Spanish. The descriptors used were: “cicatrix,” “keloid,” “algorithms,” and “wound healing.” The sample selection consisted of identifying the articles, reading the titles and abstracts, and selecting studies related to the topic. Subsequently, the full reading of the selected studies and classification according to the eligibility criteria were carried out. Results: 209 articles were found, and 116 were eliminated due to duplicity, resulting in 45 articles. A total of 8 articles that met the inclusion criteria were identified. Four articles were excluded after analysis and consensus meeting due to the absence of algorithms with scientific rigor; this study is composed of four articles. Conclusion: Four algorithms were found in the literature review that resulted in the development of an updated algorithm for scars.

[Purpose] How to prevent fake news without spoiling the freedom of speech is a growing concern among governments across the world. Some countries see legislation as being the best approach to counter fake news. In the legislation proposals, accountability is mostly placed on technology companies, but also individuals seem to have responsibility in the legislation of some countries. Some other governments see non-legislative means to counter fake news. But it’s a fact that countering fake news without compromising free speech is a high priority across governments in the world and a challenging task too. This paper investigates the India scenario and tries to list out other than legislation what other measures are required. [Methodology] This paper takes a survey of mitigation efforts in select countries. This survey is used to testify against similar efforts in India, if any and adopts comparative approach to understand where Indian efforts stand at. [Findings] From using fact-checking tools available online, finding the source, locating how many people viewed a particular story to check grammar and spelling, and developing a critical mindset; plenty of things become a critical means in fighting down fake news. Legislation alone is insufficient. Media literacy, public scrutiny, good citizenship, and education along with sensitive civil society require playing its significant part in India to fight fake news. In India, the policy is vague. It gives the government enormous power to surveillance in the name of fake news.

Introduction: Data mining techniques expand access to important information for the decision-making process during health care. The objective the study proposes using data mining techniques to identify variables (surgical treatment protocols, patient characteristics, post-surgical complications) associated with fistulas after primary palatoplasty in patients with unilateral transforamen incisor cleft (UTIC). Method: A data set of 222 patients with UTIC without syndromes, operated by four surgeons with Furlow’s or von Langenbeck’s primary palatoplasty techniques, was analyzed for this study. Two models for detecting the outcome of surgery were induced using data mining techniques (Decision Tree and Apriori). Results: Five rules were selected from a decision tree pointing to some variables as predictors of fistulas associated with primary palatoplasty: infection, cough, hypernasality, and surgeon. Analysis of the model indicates that it correctly classifies 95.9% of occurrences between the absence and presence of fistulas. The second model indicates that the absence of post-surgical complications (infection and fever) and normal speech results (absent hypernasality, without suggestive of velopharyngeal dysfunction) are related to the absence of fistulas. Regarding surgical procedures, the Furlow technique and the Vomer flap were more frequent in patients with fistulas. Conclusion: Data mining techniques, as applied in the present study, pointed to infection and cough, hypernasality, and surgeon and surgical techniques as predictors of fistulas related to primary palatoplasty.

The aim of this article is to analyze the intersubjectivity (understood as a psychic space different from that of the subjects that constitute it and that enables the establishment of a new reality) in a family session between a violent adolescent and his mother. The analysis is based on the psychoanalytical reading of Maldavsky synthesized in the method of speech analysis called the David Liberman algorithm (DLA) (Maldavsky, 2001, 2004, 2005, 2013), which facilitates observing desires, predominant defenses, pre-conscious-conscious thinking and its slips, focusing on differentiating stories centered on third parties from those centered on the narrator. Through the speech of the adolescent and his mother, it was possible to observe the bond that they managed to establish throughout their lives, in which situations of privation and psychosocial vulnerability predominate. [ABSTRACT FROM AUTHOR]

Among studies on teacher knowledge and mathematical training, in recent years we have seen the emergence of interest in training in Elementary Theory of Numbers, Mathematics field whose concern is integers numbers and their operations. In this context, the present investigation aimed to discuss issues related to Euclidean division, more specifically to the division algorithm, within the scope of initial training, as well as to identify and debate, difficulties evidenced by undergraduate students in Mathematics degree at a public university in Ceará in relating This topic is addressed in the subject of Theory of Numbers with the teaching of the mathematical operation of division in Basic Education. The adopted theoretical framework points to the need to review the way in which the subject of Theory of Numbers has been worked on in the teaching degree, while the results of the questionnaire applied to 18 (eighteen) students in Mathematics degree indicated that basic ideas related to Euclidean division, and more specifically to the division algorithm, are still not well settled and articulated in these students, which may signal a possible weakness in the future practice of these teachers. It is concluded, therefore, that an approach more focused on the meanings of calculations and their implications than on the memorization and execution of algorithms is necessary to qualify the mathematical training in Elementary Theory of Numbers of future Mathematics teachers. [ABSTRACT FROM AUTHOR]

In this paper, we report the experience of a mathematics teacher educator, who is a mathematician, while teaching the Euclidean Division Algorithm Theorem in a Number Theory course for prospective mathematics teachers. Considering that the knowledge of a Mathematics teacher is specialized, from the perspective of the Mathematics Teachers' Specialised Knowledge model, we intended to identify which knowledge is mobilized when the teacher educator addresses this algebraic result. Some activities were conducted by the professor in an attempt to understand how the prospective teachers performed the division of integers before, during, and after knowing the theorem; our analysis focuses on these different moments. Regarding the prospective teachers' knowledge, it was possible to observe, primarily, knowledge related to procedures involving the algorithm. However, throughout the conducted activities, they were able to establish different connections concerning the Euclidean Division Algorithm Theorem. About the teacher educator, we emphasize that his mathematical and pedagogical knowledge, combined with the goal of effectively prepare future Mathematics teachers, has the potential to promote specialized knowledge in the prospective teachers regarding the subject matter. [ABSTRACT FROM AUTHOR]

Copyright of Exacta is the property of Exacta - Engenharia de Producao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Estudos Politicos is the property of Universidade Federal de Minas Gerais (Revista Brasileira de Estudos Politicos) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Portuguese Journal of Mental Health Nursing / Revista Portuguesa de Enfermagem de Saúde Mental is the property of Portuguese Society of Mental Health Nursing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article analyzes the electoral match tool. Developed by the Folha de S. Paulo newspaper and by the Datafolha Institute, the tool promotes the meeting between voters and candidates, identifying affinity on various topics of public interest. But, is the application an element that can be added to electoral campaigns? Does it bring together a reasonable set of topics of public interest for the voting decision? To answer these and other questions, we analyze the context of the creation and strategic uses of the tool, that is, electoral campaigns in times of platformization (VAN DIJCK et al., 2018) and the performance of algorithms in the institution of new logics selection, hierarchy, recommendation and control of information flows (D'ANDRÉA, 2020). We observed that the tool, even without offering interactive and dialogical resources, is configured as an electoral communication strategy and collaborates with the process of democratization of public information. [ABSTRACT FROM AUTHOR]

Copyright of Revista Jurídica (0103-3506) is the property of Revista Juridica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Jurídica (0103-3506) is the property of Revista Juridica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of A&C - Administrative & Constitutional Law Review - Revista de Direito Administrativo e Constitucional is the property of A&C - Revista de Direito Administrativo & Constitucional (Instituto Bacellar) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this article, Professor João Canavilhas discusses the impact of Artificial Intelligence (AI) on professional journalism. He highlights that AI can be a useful tool for journalists, but should not be used exclusively, as creativity and ethics are essential for journalism. AI has been used in journalism for over a decade, mainly in information collection and processing, and in automated content production. Although there are still not many, there are cases of media outlets using automated content production with AI, and some companies are starting to have clients worldwide. AI can be useful in more creative journalistic genres, but human creativity and ethics are differentiating factors compared to algorithms. Communication schools should teach future journalists how to use technology appropriately. [Extracted from the article]

In courses in Computing, Digital Technology and related areas, Computer Programming and Algorithms are initial subjects with a high failure rate. Remote teaching adopted as a result of the COVID-19 pandemic has brought new barriers, including the need for online tools. This work aims to identify, test and analyze free online platforms and tools that can help to overcome the adversities faced in Programming and Algorithms disciplines in the context of remote teaching. The methodology adopted was a quantitative study, in which a set of online tools was initially identified, which later had their usability level measured through questionnaires submitted to a group of students from the Technical Course in Computer Science for the Internet. The results identified that, among the analyzed tools, all have a range of positive and negative points, but only one of them presented a greater number of potentialities that facilitate the teaching-learning process in the context of remote teaching. At the end of the research, it was found that there is a wide variety of online tools that can help in the teaching of Programming and Algorithms, however, there are few tools with characteristics that meet all the needs in the context of remote teaching. [ABSTRACT FROM AUTHOR]

Lyapunov exponents are widely used quantifiers for characterising regimes in dynamical systems. Within this perspective, the improvement and methodological optimisation to estimate the dynamic characteriser of the largest Lyapunov exponent is necessary. Over the decades, several researchers in the field of dynamical systems and statistical physics have dedicated themselves to this task. This effort culminated in the development of Wolf's algorithm, which was presented as a very robust and accurate method, but costly and difficult to understand methodologically. In order to overcome these problems, Sato, and later Rosenstein, based on the conservation of phase space through canonical transforms of phase space, used the method of delayed coordinates to estimate in the reconstructed phase space through a time serie of the system to estimate in a practical way the largest Lyapunov exponent. Thus, this article aims to describe the characteristics of the method of delayed coordinates for the estimation of the largest Lyapunov exponent, and to evaluate its quality for this task. [ABSTRACT FROM AUTHOR]

"My first long haul fight that didn't fill up and an empty row for me. I have been blessed by the algorithm". The phrase "blessed by the algorithm" expresses the feeling of having been fortunate in what appears on your feed on various social media platforms, or in the success or virality of your content as a creator, or in what gig economy jobs you are offered. However, we can also place it within wider public discourse employing theistic conceptions of AI. Building on anthropological fieldwork into the "entanglements of AI and Religion" (Singler, 2017a), this article will explore how "blessed by the algorithm" tweets are indicative of the impact of theistic AI narratives: modes of thinking about AI in an implicitly religious way. This thinking also represents continuities that push back against the secularisation thesis and other grand narratives of disenchantment that claim secularity occurs because of technological and intellectual progress. This article will also explore new religious movements, where theistic conceptions of AI entangle technological aspirations with religious ones. [ABSTRACT FROM AUTHOR]

The article addresses how relationship apps are inserted in a paradigm of the Expository Society and how the production of desires brings changes when looking for partners for affectiveromantic and affective-sexual relationships. The objective of this research is to identify how the political use of images is used within this logic and maintains an exhibitionist-voyeuristic movement. For this, we chose four dating apps with the highest number of downloads and active users (Tinder, OkCupid, Bumble and Happn). From the reference brought by Bernard E. Harcourt, we want to discuss how the architecture of these relationship applications reinforces this logic and favors the business models that operate in this current context. We opted for a comparative analysis between these four applications. The results bring important observations about standardization of applications, primacy in the use of the image and, also, important new questions about changes in relationships from the changes that have occurred. [ABSTRACT FROM AUTHOR]

Normal spiral galaxies have a nucleus, disk, bulge, halo, and spiral arms. These systems arouse a lot of curiosity, attraction, and scientific questions and, consequently, many studies and techniques are proposed for the analysis of such structures. In this work, we implement the two-dimensional Fourier Transform method to analyze the spiral structures of galaxies and for that, a Python program was developed. The algorithm was tested using three images: a two-armed logarithmic spiral, a three-armed logarithmic spiral, and an image of the galaxy NGC 4321. With this technique we were able to determine the dominant components in each of the spiral structures, being m = 2, m = 3 and m = 2, respectively. [ABSTRACT FROM AUTHOR]

Copyright of Revista de Ciências da Computação is the property of Universidade Aberta and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Desenvolvimento e Meio Ambiente is the property of Universidade Federal do Parana and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of ECCOM: Educação, Cultura e Comunicação is the property of ECCOM: Educacao, Cultura e Comunicacao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

ABSTRACT Chest pain is a frequent, potentially life-threatening condition in the emergency department and requires immediate investigation and treatment. This case report highlights a rare differential diagnosis of pleuritic chest pain: epipericardial fat necrosis. A 29-year-old man presented with normal clinical evaluation, electrocardiography, point-of-care ultrasound, and unremarkable laboratory tests. The initial hypothesis was acute pleuritis. Chest radiography revealed peri-cardiac nonspecific findings, and computed tomography revealed epicardial fat necrosis. Despite the rarity of this condition, accurate diagnosis allows for better practices. An algorithm for a diagnostic approach is proposed.

ABSTRACT Objective To investigate the expression of human papillomavirus (HPV), p16, p53, and p63 in non-schistosomiasis-related squamous cell carcinoma of the bladder and to develop an accurate and automated tool to predict histological classification based on clinicopathological features. Methods Twenty-eight patients with primary bladder pure squamous cell carcinoma who underwent cystectomy or transurethral resection of bladder tumor (TURBT) for bladder cancer between January 2011 and July 2017 were evaluated. Clinical data and follow-up information were obtained from medical records. Formalin-fixed, paraffin-embedded surgical specimens were used for immunohistochemical staining for p16, p53, and p63. Human papillomavirus detection was evaluated by PCR. Statistical analysis was performed, and statistical significance was set at p

Objective: To report the experience of a team of enterostomal therapists in the construction of an algorithm for the indication of collecting equipment for elimination stomas. Method: Experience report, from January 2018 to September 2019, on the process of building an algorithm to indicate collecting equipment for elimination stomas. Results: Based on certain clinical characteristics (assessment parameters) and the categorization of collecting equipment (solution), an algorithm was developed to indicate collecting equipment for elimination stomas. Conclusion: It is expected that this instrument can help nurses in their professional practice regarding the choice of collecting equipment and the construction of clinical protocols.

Timber transportation is a hard task for any forest company. There are several efforts to reduce and control these costs, considering efficient equipment and optimization frameworks. Due to the pattern of combinatorial problems, the deterministic methods have a high computational effort of processing time, which generally makes their use unfeasible. An alternative procedure is applying approximation algorithms, which have efficient searches for finding feasible solutions. The present study evaluated algorithms for solving the forest transport sequencing problem. The Simulated instances were designed to highlight three instances for 10, 20, and 30 stands with a realistic pattern. According to the operational set, four solving strategies were proposed, considering three algorithms (Simulated Annealing, Greedy, and Greedy-Simulated Annealing). The computational code, processing, and analysis of the data were performed using RStudio software. The results show feasible solutions from all tested algorithms, highlighting the hybrid Greedy-Simulated Annealing algorithm. With proven normality and homogeneity of variance, the algorithms were tested with the Tukey test at a level of 5%. The blocks, stand random selection, and multiple flow strategies produced the best results of the tested instances. As a conclusion, the proposed algorithms are efficient for solving the forest transportation problem and may be helpful at the operational planning level. [ABSTRACT FROM AUTHOR]