Descended Mouth Corner: An Ignored but Needed Feature of Facial Rejuvenation

Pedro Vidal,Juan Enrique Berner,Pablo Castillo,Günther Rochefort,Rodrigo Loubies 대한성형외과학회 2013 Archives of Plastic Surgery Vol.40 No.6

For years, the gold standard in facial rejuvenation has been the face lift. However, exploring new, less complex procedures for achieving the same goal is currently drawing interest. Rejuvenation of the perioral area is a difficult task for plastic surgeons because of the minimal effect that face lift procedures have over this region and the lack of published material on the subject. In this article, the descended mouth corner anguloplasty technique is presented. It is a 20-minutes lift technique that can correct this typical feature of the ageing mouth. The authors have treated 71 patients using the technique with consistently good results, with just one requiring revision. They conclude that this procedure by itself and in combination with other small operations or even a full face lift can rejuvenate the ageing face.

Descended Mouth Corner: An Ignored but Needed Feature of Facial Rejuvenation

Vidal, Pedro,Berner, Juan Enrique,Castillo, Pablo,Rochefort, Gunther,Loubies, Rodrigo Korean Society of Plastic and Reconstructive Surge 2013 Archives of Plastic Surgery Vol.40 No.6

For years, the gold standard in facial rejuvenation has been the face lift. However, exploring new, less complex procedures for achieving the same goal is currently drawing interest. Rejuvenation of the perioral area is a difficult task for plastic surgeons because of the minimal effect that face lift procedures have over this region and the lack of published material on the subject. In this article, the descended mouth corner anguloplasty technique is presented. It is a 20-minutes lift technique that can correct this typical feature of the ageing mouth. The authors have treated 71 patients using the technique with consistently good results, with just one requiring revision. They conclude that this procedure by itself and in combination with other small operations or even a full face lift can rejuvenate the ageing face.

IoET enabled classrooms to foster Education 4.0 in Mexican elementary schools

Juan Contreras-Castillo,Pedro C. Santana-Mancilla,Norma Barón-Ramírez,Elba Abigail Morales Vanegas APEC국제교육협력원 2020 Asia-Pacific Cybereducation Journal Vol.16 No.1

The changes of the Fourth Industrial Revolution (Industry 4.0) are inevitable in all areas of daily life, from government to healthcare and commerce, including the educational field. Education 4.0 brings potential challenges to schools around the globe, such as digital technology, personalized data, and a connected world. Thus, this paper presents a Mexican case study about a classroom enhanced with digital technology to study the challenges that both students and teachers face to acquire and transmit the skills and competencies that Industry 4.0 requires. As a preliminary result, we found that the probability of students accepting this technology for learning is very high.

Therapeutic alternatives in painful diabetic neuropathy: a meta-analysis of randomized controlled trials

( Samuel Vilar ),( Jose Manuel Castillo ),( Pedro V. Munuera Martinez ),( Maria Reina ),( Manuel Pabon ) 대한통증학회 2018 The Korean Journal of Pain Vol.31 No.4

Background: One of the most frequent problems caused by diabetes is the so called painful diabetic neuropathy. This condition can be treated through numerous types of therapy. The purpose of this study was to analyze, as a meta-analysis, different treatments used to alleviate painful diabetic neuropathy, with the aim of generating results that help making decisions when applying such treatments to tackle this pathology. Methods: A search was conducted in the main databases for Health Sciences, such as PUBMED, Web of Science (WOS), and IME biomedicina (Spanish Medical Reports in Biomedicine), to gather randomized controlled trials about treatments used for painful diabetic neuropathy. The analyzed studies were required to meet the inclusion criteria selected, especially those results related to pain intensity. Results: Nine randomized controlled trials were chosen. The meta-analysis shows significant positive effects for those treatments based on tapentadol [g: -1.333, 95% CI (-1.594; -1.072), P < 0.05], duloxetine [g: -1.622, 95 % CI (-1.650; -1.594), P < 0.05], pregabalin [g: -0.607, 95% CI (-0.980; -0.325), P < 0.05], and clonidine [g: -0.242, 95 % CI (-0.543; -0.058), P < 0.05]. Conclusions: This meta-analysis indicates the effectiveness of the treatments based on duloxetine, gabapentin and pregabalin, as well as other drugs, such as tapentadol and topic clonidine, whose use is better prescribed in more specific situations. The results provided can help increase the knowledge about the treatment of painful diabetic neuropathy and also in the making of clinical practice guidelines for healthcare professionals. (Korean J Pain 2018; 31: 253-60)

A novel low-cost method for Mycobacterium avium subsp. paratuberculosis DNA extraction from an automated broth culture system for real-time PCR analysis

Miguel Salgado,Cristobal Verdugo,Cord Heuer,Pedro Castillo,Patricia Zamorano 대한수의학회 2014 Journal of Veterinary Science Vol.15 No.2

PCR is a highly accurate technique for confirming thepresence of Mycobacterium avium subsp. paratuberculosis(Map) in broth culture. In this study, a simple, efficient, andlow-cost method of harvesting DNA from Map cultured inliquid medium was developed. The proposed protocol(Universidad Austral de Chile [UACH]) was evaluated bycomparing its performance to that of two traditionaltechniques (a QIAamp DNA Stool Mini Kit andcethyltrimethylammonium bromide [CTAB] method). Theresults were statistically assessed by agreement analysis forwhich differences in the number of cycles to positive (CP)were compared by Student’s t-test for paired samples andregression analysis. Twelve out of 104 fecal pools culturedwere positive. The final PCR results for 11 samples analyzedwith the QIAamp and UACH methods or ones examinedwith the QIAamp and CTAB methods were in agreement. Complete (100%) agreement was observed between datafrom the CTAB and UACH methods. CP values for theUACH and CTAB techniques were not significantlydifferent, while the UACH method yielded significantlylower CP values compared to the QIAamp kit. The proposedextraction method combines reliability and efficiency withsimplicity and lower cost.

Hyperbaric oxygenation applied before or after mild or hard stress: effects on the redox state in the muscle tissue

Claudia Carolina Pérez-Castro,Alexandre Kormanovski,Gustavo Guevara-Balcázar,María del Carmen Castillo-Hernández,José Rubén García-Sánchez,Ivonne María Olivares-Corichi,Pedro López-Sánchez,Iván Rubio- 대한약리학회 2023 The Korean Journal of Physiology & Pharmacology Vol.27 No.1

The mechanism is unclear for the reported protective effect of hyperbaric oxygen preconditioning against oxidative stress in tissues, and the distinct effects of hyperbaric oxygen applied after stress. The trained mice were divided into three groups: the control, hyperbaric oxygenation preconditioning, and hyperbaric oxygenation applied after mild (fasting) or hard (prolonged exercise) stress. After preconditioning, we observed a decrease in basal levels of nitric oxide, tetrahydrobiopterin, and catalase despite the drastic increase in inducible and endothelial nitric oxide synthases. Moreover, the basal levels of glutathione, related enzymes, and nitrosative stress only increased in the preconditioning group. The control and preconditioning groups showed a similar mild stress response of the endothelial and neuronal nitric oxide synthases. At the same time, the activity of all nitric oxide synthase, glutathione (GSH) in muscle, declined in the experimental groups but increased in control during hard stress. The results suggested that hyperbaric oxygen preconditioning provoked uncoupling of nitric oxide synthases and the elevated levels of GSH in muscle during this study, while hyperbaric oxygen applied after stress showed a lower level of GSH but higher recovery post-exercise levels in the majority of antioxidant enzymes. We discuss the possible mechanisms of the redox response and the role of the nitric oxide in this process

A new approach for solving global optimization and engineering problems based on modified sea horse optimizer

Hashim Fatma A,Mostafa Reham R,Khurma Ruba Abu,Qaddoura Raneem,Castillo Pedro A 한국CDE학회 2024 Journal of computational design and engineering Vol.11 No.1

Sea horse optimizer (SHO) is a noteworthy metaheuristic algorithm that emulates various intelligent behaviors exhibited by sea horses, encompassing feeding patterns, male reproductive strategies, and intricate movement patterns. To mimic the nuanced locomotion of sea horses, SHO integrates the logarithmic helical equation and Levy flight, effectively incorporating both random movements with substantial step sizes and refined local exploitation. Additionally, the utilization of Brownian motion facilitates a more comprehensive exploration of the search space. This study introduces a robust and high-performance variant of the SHO algorithm named modified sea horse optimizer (mSHO). The enhancement primarily focuses on bolstering SHO’s exploitation capabilities by replacing its original method with an innovative local search strategy encompassing three distinct steps: a neighborhood-based local search, a global non-neighbor-based search, and a method involving circumnavigation of the existing search region. These techniques improve mSHO algorithm’s search capabilities, allowing it to navigate the search space and converge toward optimal solutions efficiently. To evaluate the efficacy of the mSHO algorithm, comprehensive assessments are conducted across both the CEC2020 benchmark functions and nine distinct engineering problems. A meticulous comparison is drawn against nine metaheuristic algorithms to validate the achieved outcomes. Statistical tests, including Wilcoxon’s rank-sum and Friedman’s tests, are aptly applied to discern noteworthy differences among the compared algorithms. Empirical findings consistently underscore the exceptional performance of mSHO across diverse benchmark functions, reinforcing its prowess in solving complex optimization problems. Furthermore, the robustness of mSHO endures even as the dimensions of optimization challenges expand, signifying its unwavering efficacy in navigating complex search spaces. The comprehensive results distinctly establish the supremacy and efficiency of the mSHO method as an exemplary tool for tackling an array of optimization quandaries. The results show that the proposed mSHO algorithm has a total rank of 1 for CEC2020 test functions. In contrast, the mSHO achieved the best value for the engineering problems, recording a value of 0.012 665, 2993.634, 0.01 266, 1.724 967, 263.8915, 0.032 255, 58 507.14, 1.339 956, and 0.23 524 for the pressure vessel design, speed reducer design, tension/compression spring, welded beam design, three-bar truss engineering design, industrial refrigeration system, multi-product batch plant, cantilever beam problem, and multiple disc clutch brake problems, respectively. Source codes of mSHO are publicly available at https://www.mathworks.com/matlabcentral/fileexchange/135882-improved-sea-horse-algorithm.

A bio-medical snake optimizer system driven by logarithmic surviving global search for optimizing feature selection and its application for disorder recognition

Khurma Ruba Abu,Alhenawi Esraa,Braik Malik,Hashim Fatma A,Chhabra Amit,Castillo Pedro A 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.6

It is of paramount importance to enhance medical practices, given how important it is to protect human life. Medical therapy can be accelerated by automating patient prediction using machine learning techniques. To double the efficiency of classifiers, several preprocessing strategies must be adopted for their crucial duty in this field. Feature Selection (FS) is one tool that has been used frequently to modify data and enhance classification outcomes by lowering the dimensionality of datasets. Excluded features are those that have a poor correlation coefficient with the label class, i.e., they have no meaningful correlation with classification and do not indicate where the instance belongs. Along with the recurring features, which show a strong association with the remainder of the features. Contrarily, the model being produced during training is harmed, and the classifier is misled by their presence. This causes overfitting and increases algorithm complexity and processing time. The pattern is made clearer by FS, which also creates a broader classification model with a lower chance of overfitting in an acceptable amount of time and algorithmic complexity. To optimize the FS process, building wrappers must employ metaheuristic algorithms as search algorithms. The best solution, which reflects the best subset of features within a particular medical dataset that aids in patient diagnosis, is sought in this study using the Snake Optimizer (SO). The swarm-based approaches that SO is founded on have left it with several general flaws, like local minimum trapping, early convergence, uneven exploration and exploitation, and early convergence. By employing the cosine function to calculate the separation between the present solution and the ideal solution, the logarithm operator was paired with SO to better the exploitation process and get over these restrictions. In order to get the best overall answer, this forces the solutions to spiral downward. Additionally, SO is employed to put the evolutionary algorithms’ preservation of the best premise into practice. This is accomplished by utilizing three alternative selection systems – tournament, proportional, and linear – to improve the exploration phase. These are used in exploration to allow solutions to be found more thoroughly and in relation to a chosen solution than at random. These are Tournament Logarithmic Snake Optimizer (TLSO), Proportional Logarithmic Snake Optimizer, and Linear Order Logarithmic Snake Optimizer. A number of 22 reference medical datasets were used in experiments. The findings indicate that, among 86% of the datasets, TLSO attained the best accuracy, and among 82% of the datasets, the best feature reduction. In terms of the standard deviation, the TLSO also attained noteworthy reliability and stability. On the basis of running duration, it is, nonetheless, quite effective.