The Effect of Agave tequilana Weber Inulin on Postprandial Ghrelin Concentration in Obese Patients

Betsabe Contreras-Haro,Jose A. Robles-Cervantes,Manuel Gonzalez-Ortiz,Esperanza Martinez-Abundis,Claudia Espinel-Bermudez,Martha P. Gallegos-Arreola,Karina C. Morgado-Castillo 한국식품영양과학회 2017 Journal of medicinal food Vol.20 No.2

This study was performed to investigate the effect of Agave tequilana Weber inulin on postprandial ghrelin levels in obese patients. A randomized, double-blind, cross-over design was performed. A total of 14 patients were allocated into two groups: one group received a drink that contained 500 mL lemon water, 24 g of A. tequilana Weber inulin, and 75 g glucose and the other group received a placebo drink with 500 mL lemon drink and 75 g of glucose. After a 7-day washout period, the groups were crossed. The primary outcome measure was postprandial ghrelin levels between minute 240 and minute 270. A. tequilana Weber inulin did not change postprandial ghrelin concentration in obese patients.

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 non-dimensional theoretical approach to model high-velocity impact on thick woven plates

L. Alonso,D. Garcia-Gonzalez,C. Navarro,S.K. García-Castillo 국제구조공학회 2021 Steel and Composite Structures, An International J Vol.38 No.6

A theoretical energy-based model to capture the mechanical response of thick woven composite laminates, which are used in such applications as maritime or aerospace, to high-velocity impact was developed. The dependences of the impact phenomenon on material and geometrical parameters were analysed making use of the Vaschy-Buckingham Theorem to provide a non-dimensional framework. The model was divided in three different stages splitting the physical interpretation of the perforation process: a first where different dissipative mechanisms such as compression or shear plugging were considered, a second where a transference of linear momentum was assumed and a third where only friction took place. The model was validated against experimental data along with a 3D finite element model. The numerical simulations were used to validate some of the new hypotheses assumed in the theoretical model to provide a more accurate explanation of the phenomena taking place during a high-velocity impact.

A pH/Temperature-Sensitive s-IPN Based on Poly(vinyl alcohol), Poly(vinyl methyl ether-alt-maleic acid) and Poly(vinyl methyl ether) Prepared by Autoclaving

Karla F. García-Verdugo,Andya J. Ramírez-Irigoyen,Mónica Castillo-Ortega,Dora E. Rodríguez-Félix,Jesús M. Quiroz-Castillo,Judith Tánori-Córdova,Francisco Rodríguez-Félix,Antonio Ledezma-Pérez,Teresa d 한국고분자학회 2022 Macromolecular Research Vol.30 No.6

A novel semi-interpenetrating polymer network (s-IPN) based on the entrapment of a thermosensitive polymer, the poly(vinyl methyl ether) (PVME), within a crosslinked 3D structure of poly(vinyl alcohol) (PVA) and poly(vinyl methyl etheralt- maleic acid) (COP) was synthesized by an autoclaving process. The preparation method avoids the use of toxic crosslinkers and allows the simultaneous sterilization of material. The PVA/COP/PVME hydrogel were characterized by Fourier transform infrared spectroscopy, thermal techniques, swelling kinetic measurements, scanning electron microscopy, and rheological analysis. The entrapment of PVME within the hydrated polymer framework significantly modified its transition temperature at pH 7.4 and pH 3 conditions. The swelling kinetics of the s-IPN were dependent on pH (7.4, 3 and 1), and temperature (25 and 37℃). The interpenetrated polymer chains reduced the internal pore sizes of crosslinked network without altering its elastic, solid-like behavior. The loading and in vitro release of 5-fluorouracil, a chemotherapeutic agent, from hydrogel systems were studied at different temperature and pH values. The hydrogels showed a sustained drug release up to 5 h at 37℃, in different pH media. The s-IPN exhibited a promising performance for a range of biomedical applications, in particular, for the controlled drug delivery in response to the pH and temperature conditions.

Role of cytoreductive nephrectomy in the targeted therapy era: A systematic review and meta-analysis

Herney A. García-Perdomo,James A. Zapata-Copete,Diego F. Castillo-Cobaleda 대한비뇨의학회 2018 Investigative and Clinical Urology Vol.59 No.1

Purpose: To determine the effectiveness and harm of cytoreductive nephrectomy versus no intervention in patients with metastatic renal carcinoma who undergo targeted therapy to improve overall survival. Materials and Methods: A search strategy was conducted in the MEDLINE, CENTRAL, Embase, HTA, DARE, NHS, and LILACS databases. Searches were also conducted for unpublished literature through references from relevant articles identified through the search, conferences, thesis databases, OpenGrey, Google Scholar, and clinicaltrials.gov, among others. Studies were included without language restrictions. The risk of bias assessment was made by using a modified Cochrane Collaboration tool. A meta-analysis of fixed effects was conducted. The expected outcomes were overall survival, quality of life, adverse effects, mortality, and progression- free survival. The measure of the effect was the hazard ratio (HR) with a 95% confidence interval (CI). The planned comparison was cytoreductive nephrectomy versus no intervention. Results: A total of 22,507 patients were found among seven studies. Seven studies were included in the qualitative analysis (eight publications) and five in the quantitative analysis for overall survival. One study reported progression-free survival and one reported targeted therapy toxicities. A low risk of bias was shown for most of the study items. The HR for overall survival was 0.58 (95% CI, 0.50 to 0.65) favoring cytoreductive nephrectomy compared with no intervention. Conclusions: Cytoreductive nephrectomy is effective for improving overall survival in patients with metastatic renal carcinoma who undergo targeted therapy compared with no intervention.

Simple Fractional Order Controller Combined with a Smith Predictor for Temperature Control in a Steel Slab Reheating Furnace

Vicente Feliu-Batlle,Raul Rivas-Perez,Fernando J. Castillo-García 제어·로봇·시스템학회 2013 International Journal of Control, Automation, and Vol.11 No.3

This paper proposes a simple fractional order controller combined with a Smith predictor scheme for controlling the temperature of a steel slab reheating furnace. The dynamic model of the preheating zone of this process is obtained from an identification procedure applied in an industrial furnace. This identification procedure yields a second order plus time delay transfer function which undergoes large time delay changes. A fractional order integral controller combined with a Smith predictor is therefore designed. Simulated results compare the performances of the proposed fractional order controller with a standard PI controller, also combined with a Smith predictor, an LQR controller, and an H∞ robust controller, in the case of the nominal process, and when the time delay varies. Four performance indexes have been used in this comparison: three related to the output performance (settling time, overshooting, and integral absolute error (IAE)), and a fourth one related to the control effort (TV). The analysis of these indexes shows that the simple fractional order controller provides lower values of the compared indexes when time delay becomes much higher than the nominal value.

Unilateral approach for bilateral clipping of posterior communicating artery aneurysms in a hybrid operating room: A technical note

Juan Luis Gómez-Amador,Pablo David Guerrero-Suárez,Jaime Jesús Martínez-Anda,Jorge Fernando Aragón-Arreola,Andrea Castillo-Matus,Ricardo Marian-Magaña,Marcos V Sangrador-Deitos,Alan Hernández-Hernánde 대한뇌혈관외과학회 2023 Journal of Cerebrovascular and Endovascular Neuros Vol.25 No.4

Bilateral posterior communicating (pComm) artery aneurysms represent only 2% of mirror intracranial aneurysms. Usually, these are surgically approached through bilateral craniotomies for clipping. We present the case of a 50-year-old female presenting with headache and horizontal diplopia. Neurological examination revealed a left oculomotor palsy, with no other neurological deficits. Imaging studies revealed bilateral aneurysmatic lesions in both internal carotid arteries (ICA). A conventional left pterional approach was planned in order to treat the symptomatic aneurysm, and, if deemed feasible, a contralateral clipping through the same approach. The procedure was performed in a hybrid operating room (HOR), performing an intraoperative digital subtraction angiography (DSA) and roadmapping assistance during dissection and clipping. Transoperatively, a post-fixed optic chiasm was identified, with a wide interoptic space, which allowed us to perform the contralateral clipping through a unilateral approach. This technique for clipping bilateral pComm aneurysms can be performed when the proper anatomical features are met.

Subclavian-Brachial Bypass for Chronic Limb Threatening Ischemia Associated with an Old Motorcycle Accident

Jose I. Martínez-Quesada,Javier E. Anaya-Ayala,Santiago Mier y Terán-Ellis,Montserrat Miranda-Ramírez,Luis H. Arzola,Christopher Ruben-Castillo,Juan C. Aramburo,Jesus M. de los Ríos,Carlos A. Hinojosa 대한혈관외과학회 2022 Vascular Specialist International Vol.38 No.2

Chronic limb-threatening ischemia is rarely associated with previous traumatic injury. We present a case of a 28-year-old male with progressive digit ulcers, a weak pulse, cyanosis, and a cold limb. Eight months prior, he had a motorcycle accident resulting in a right clavicle fracture and brachial plexus injury. Computed tomography angiography revealed occlusion of the right subclavian artery near a surgically implanted reduction plate. The patient underwent an open subclavianbrachial bypass with a reversed saphenous vein graft. His postoperative recovery was uneventful. After 3 months, he had a euthermic right hand with a palpable pulse and his ulcers had completely healed. This case reinforces the need for patients with a neurological deficit in the upper extremity caused by blunt trauma to undergo thorough vascular examination to identify potential arterial injury and compromised perfusion.

Kinematic and deformation analyses of a translational parallel robot for drilling tasks

R. Maldonado-Echegoyen,E. Castillo-Castaneda,M. A. Garcia-Murillo 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.10

A 3DOF translational parallel robot for drilling tasks based on two 5-bar mechanisms with a large workspace is presented in this study. The position analysis is performed by applying simple geometric procedures, and the velocity and acceleration analyses are developedusing the theory of screws. A numerical example is included in the contribution to validate the equations of the kinematic analysis, anddeformation analysis is performed to assess the accuracy considering the forces reported in the literature for drilling process. A prototypeis presented, and an experimental test is performed to validate accuracy using a circular test.

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.