Artículos con filiación institucional UNACH en revistas indexadas en Scopus, Web of Science y SciELO

Permanent URI for this collectionhttps://repositorio.unach.edu.pe/handle/20.500.14142/667

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Alta capacidad de recuperación del crecimiento de los árboles de Eucalyptus grandis después de un período de 3 años con una reducción del 80 % en la caída de árboles.
(Elsevier, 2022-01) Chambi-Legoas, Roger; Tommasiello Filho, Mario Tommasiello; Perassolo Guedes, Fernanda Trisltz; Chaix, Gilles
Ya se han plantado plantaciones de eucalipto en regiones con escasez de agua y alto riesgo de sequías severas, o se están expandiendo hacia ellas. En un futuro con un clima más seco y variable, incluyendo fenómenos extremos, la capacidad de los árboles para recuperarse tras sequías severas se convierte en un factor crucial para la sostenibilidad de las plantaciones forestales. En Brasil se realizó un experimento original que implicó una reducción del 80% en la precipitación para comprender mejor las respuestas de los árboles de Eucalyptus grandis al déficit hídrico extremo prolongado (3 años) y la capacidad de esta especie para recuperarse tras el estrés hídrico. Nuestro estudio se centró en los cambios en el área basal, el radio del fuste y la altura total medidos mediante dendrómetros de alta resolución temporal y estudios periódicos de árboles afectados por una reducción del 80% en la precipitación (grupo de tratamiento) y en un grupo de control. Se compararon las diferencias en el área basal, el radio del fuste y la tasa de crecimiento de la altura total entre los grupos durante (i) 37 meses de reducción del 80% en la precipitación y (ii) 31 meses después del final de la reducción del 80%. Se determinaron las correlaciones entre las tasas de crecimiento, las fluctuaciones del radio del fuste y las variables meteorológicas en cada grupo para comprender mejor las respuestas de los árboles a las condiciones ambientales y el estado hídrico del fuste. La reducción del 80% en la precipitación a lo largo de 3 años redujo significativamente las tasas de crecimiento de los árboles en un 73% en área basal y un 95% en altura total. Sin embargo, con una disponibilidad hídrica normal tras la reducción de la precipitación, la tasa de crecimiento del área basal de los árboles sometidos a estrés hídrico fue un 97% mayor que la de los árboles de control, mientras que la tasa de crecimiento de la altura total fue solo un 8% mayor. A pesar del severo estrés hídrico, no se observó mortalidad de árboles. Los árboles recuperaron el 51% de su área basal durante el período de recuperación de 31 meses. En contraste, solo se recuperó el 5% de la altura total. En el grupo de tratamiento, se observaron respuestas rápidas a la variación en las precipitaciones durante el período de reducción del 80% en la precipitación. Asimismo, las correlaciones entre las fluctuaciones del radio del fuste y el déficit de presión de vapor indican un aumento de la transpiración tras la finalización de la reducción. Estas relaciones indican una alta conservación de la integridad del sistema vascular xilemático durante los tres años de reducción del 80% en la precipitación, un factor clave en la mayor resiliencia de los árboles. En ausencia de mortalidad de árboles, nuestros resultados sugieren que la reducción del 80% en la precipitación tuvo un impacto severo en el crecimiento de los árboles, pero demuestran una gran capacidad de recuperación de los árboles de Eucalyptus grandis en el crecimiento del área basal tras un déficit hídrico tan severo.
Microencapsulation of Purple Mashua Extracts Using Andean Tuber Starches Modified by Octenyl Succinic Anhydride.
(Hindawi Limited, 2022-01) Velásquez-Barreto, Frank F.; Velezmoro-Sánchez, Carmen Eloisa
This work is aimed at optimising the spray drying conditions of the phenolic extracts of purple mashua microencapsulated with octenyl succinic anhydride (OSA) Andean tuber starches. Purple mashua extracts were obtained and spray dried using native and OSA starches of yellow oca, pink oca, and yellow olluco (140° C, 4% starch). The powders obtained were analysed by encapsulation efficiency of anthocyanin (EE), total phenol content, and antioxidant capacity to select the best starch for optimisation purposes. OSA pink oca starch was selected because the obtained powder presented the highest EE. The spray drying conditions optimised were obtained using a central composite rotatable design (CCRD) and response surface methodology. The encapsulant proportion of OSA pink oca starch (2-12%) and the inlet drying temperature (IDT, 120-160°C) were used as factors of the design. The optimised spray drying condition was 160° C IDT and 2% encapsulant; this condition maximised the EE, total phenol content, antioxidant capacity, and solubility and minimised the water activity and hygroscopicity of the powder. The OSA pink oca starch could be used as an encapsulating agent of phenolic extracts because it can produce powder with high antioxidant capacity and high EE.
Geología urbana y su impacto en indicadores de sostenibilidad ambiental.
(Universidad del Zulia, 2022-02) Rutti Marín, José Miguel; Chávez-Juanito, Yuli Anabel; Moreno Cueva, Miriam Elizabeth
La presente investigación plantea como objetivo, repensar las funciones de la Geología Urbana y su vinculación con indicadores de sostenibilidad ambiental en asentamientos urbanos, producidos por la actividad de segregación socioespacial y fenómenos geológicos propios de la geodinámica interna y externa de la Tierra. El estudio se realizó bajo el enfoque del análisis documental, considerando el paradigma de valoración crítica del autor. Se identificaron cinco indicadores de sostenibilidad: uso adecuado de la tierra urbana, cobertura de agua, capacidad de generación de energía limpia, diseño espacios de disposición de residuos, cobertura en el manejo de sistemas de drenaje intraurbanos e índices de riesgos ante desastres naturales, este último, subdividido en cinco subindicadores que dependen de la fenomenología geológica actuante. Para el logro de los propósitos, la Geología Urbana recurre a métodos alternativos multidisciplinarios para generar información geocientífica útil para la elaboración de estrategias para la sostenibilidad de las ciudades.
COP26 de Glasgow: ¡Nueva utopía tecnológica y política!
(Universidad del Zulia, 2022-02) Chávez-Juanito, Yuli Anabel; Rutti Marín, José Miguel; Moreno Cueva, Miriam Elizabeth
Del 30 de octubre al 13 de noviembre del 2021 se realizó en Glasgow, Escocia la COP26, con la finalidad de revisar las metas del Acuerdo de Paris-2015, las metas transversales de la Agenda 2030 y proponer nuevos compromisos -ante la urgencia- para combatir el calentamiento global. A raíz del importante encuentro, se procura realizar una valoración crítica de los acuerdos alcanzados en la cumbre bajo el enfoque del análisis documental de los compromisos alcanzados y su relación histórica con cumbres previas. Los puntos claves acordados están basados en mantener el aumento de temperatura por debajo de 1.5°C, proponiendo reducir las emisiones de GEI en un 45% para el año 2030 y cero emisiones para el 2050, duplicando los aportes financieros de países desarrollados, con la premisa de eliminación de combustibles fósiles. Ante la realidad climática potencialmente catastrófica que se aproxima, los niveles de acción de los acuerdos fueron insuficientes, ya que, para dar cumplimiento cabal al objetivo, se deben acelerar drásticamente las acciones más allá del compromiso, superando los intereses políticos, económicos y tecnológicos implícitos en los modelos culturales de los principales emisores, de lo contrario, se corre el riesgo de otra cumbre con la esperanza ambiental convertida en utopía.
Efecto del sustrato en la germinación de Cinchona officinalis L. (Rubiaceae).
(Asociacion Espanola de Ecologia Terrestre, 2022-02) Fernandez-Zarate, Franklin Hitler; Huaccha-Castillo, Annick Estefany; Barturén Vega, Luci Magali; Quiñones Huatangari, Lenin; Santillán, Tito Sánchez
Cinchona officinalis, conocida como árbol de la quina, es una especie emblemática de Perú, con alto valor medicinal, se popularizó por su uso antimalárico y se encuentra en peligro de extinción. El objetivo de la investigación fue estudiar el efecto del sustrato sobre la propagación sexual de C. officinalis. Se aplicó un diseño completamente al azar con cinco tratamientos de acuerdo con el tipo de sustrato T1 (25 % de tierra de bosque + 75 % de arena), T2 (50 % de tierra de bosque + 50 % de arena), T3 (75 % de tierra de bosque + 25 % de arena), T4 (100 % de tierra de bosque) y T5 (100 % de arena). En los tratamientos se emplearon tres repeticiones y 100 semillas por unidad experimental. El inicio de la germinación de C. officinalis ocurrió a partir de los 12 días después de la siembra hasta el día 42. El sustrato tierra de bosque tuvo mejor efecto en el índice (18.45 ± 3.63), velocidad (0.40 ± 0.06), tiempo (21.44 ± 0.98) y porcentaje de germinación (85 % ± 13.23 %); seguido por los tratamientos T3 y T2. Por su parte, T5 fue el tratamiento con menor efecto sobre la germinación de C. officinalis. El estudio evidencia que el tipo de sustrato empleado favoreció el proceso de germinación de semillas de C. officinalis; sugiriendo usar un sustrato procedente de bosques naturales y puro (sin combinación).
Dynamics of Fractional Differential Model for Schistosomiasis Disease.
(Tech Science Press, 2022-03) Botmart, Thongchai; Weera, Wajaree; Zahoor Raja, Muhammad Asif; Sabir, Zulqurnain; Hiader, Qusain; Cieza Altamirano, Gilder; Muro Solano, Plinio Junior; Tesén Arroyo, Alfonso
In the present study, a design of a fractional order mathematical model is presented based on the schistosomiasis disease. To observe more accurate performances of the results, the use of fractional order derivatives in the mathematical model is introduce based on the schistosomiasis disease is executed. The preliminary design of the fractional order mathematical model focused on schistosomiasis disease is classified as follows: uninfected with schistosomiasis, infected with schistosomiasis, recovered from infection, susceptible snail unafflicted with schistosomiasis disease and susceptible snail afflicted with this disease. The solutions to the proposed system of the fractional order mathematical model will be presented using stochastic artificial neural network (ANN) techniques in conjunction with the LevenbergMarquardt backpropagation (LMBP), referred to as ANN-LMBP. To illustrate the preciseness of the ANN-LMBP method, mathematical presentations of three different values focused on fractional order will be performed. These statics performances are taken in these investigations are 78% and 11% for both learning and certification. The accuracy of the ANN-LMBP method is determined by comparing the values obtained by the database Adams-Bash forth-Moulton scheme. The simulation-based error histograms (EHs), MSE, recurrence, and state transitions (STs) will be offered to achieve the capability,m accuracy, steadiness, abilities, and finesse of the ANN-LMBP method.
Microparticles coated with proteins in their natural state and in vitro gastrointestinal simulation.
(Instituto de Tecnologia de Alimentos, 2022-05) Rengifo Silvano, Estefany Deyhanyra; Vela-Paredes, Rafael Segundo; Alva-Arévalo, Alenguer; Vásquez, Jessy; Ruiz, Roger; Arce-Saavedra, Thony; Tello Célis, Fernando
This study aimed to produce pectin and alginate microparticles by ionic gelation coated with different concentrations of bovine blood and egg white protein in their natural state. The coated microparticles were characterized, and their physical resistance and morphology were evaluated, as well as the released protein during in vitro gastrointestinal simulation. The highest protein adsorption (65.47%) was shown by pectin microparticles coated with bovine blood (10%), regardless of the protein type and concentration used. Likewise, higher amounts of adsorbed protein resulted as protein concentration increased, regardless of the type of microparticle. Nevertheless, the physical resistance of coated microparticles was affected more by the type of polysaccharide, being alginate microparticles more resistant. Adsorbed proteins on microparticles surface showed higher solubility values in vitro gastrointestinal simulation regardless of protein type. Bovine blood and egg white proteins in their natural state can be used as alternative coating materials for microparticles
Aggregation-Based Dynamic Channel Bonding to Maximise the Performance of Wireless Local Area Networks (WLAN)
(Hindawi Limited, 2022-06) Parashar, Vivek; Kashyap, Ramgopal; Rizwan, A.; Karras, Dimitrios Alexios; Cieza Altamirano, Gilder; Dixit, Ekta; Ahmadi, Fardin
Channel bonding is considered by the IEEE 802.11ac amendment to improve wireless local area network (WLAN) performance. In this article, the channel bonding and aggregation method were proposed to increase wireless local area network performance (WLANs). It combines many channels (or lanes) to boost the capacity of modem traffic. Channel bonding is the combination of two neighbouring channels within a certain frequency band to increase wireless device throughput. Wi-Fi employs channel bonding, also known as Ethernet bonding. Channel bandwidth is equal to the uplink/downlink ratio multiplied by the operational capacity. A single 20 MHz channel is divided into two, four, or eight power channels. At 80 MHz, there are more main and smaller channels. Performance of short-range WLANs is determined through graph-based approach. The twochannel access techniques including channel bonding proposed for the IEEE 802.11ac amendment are analysed and contrasted. The novel channel sizing algorithm based on starvation threshold is proposed to expand the channel size to improve WLAN performance. Second-cycle throughput is estimated at 20 Mbps, much beyond the starvation threshold. Our test reveals access points (AP) 1, 2, and 4 have enough throughput. A four-AP WLAN with a 5-Mbps starvation threshold is presented. C160 = 1 since there is only one 160 MHz channel. MIR (3, 160 (a, a, a)) =0, indicating that AP 3’s predicted throughput is 0. The algorithm rejects the 160 MHz channel width since ST is larger than 0. The channel width in MHz is given by B =0,1 MIR. The MIR was intended to maximise simultaneous broadcasts in WLANs. The authors claim that aggregation with channel bonding outperforms so all WLAN APs should have a single-channel width. It usually outperforms fairness-based measures by 15% to 20%. Wi-Fi standards advise “channel bonding,” or using higher frequency channels. Later standards allow channel bonding by increasing bands and channel lengths. Wider channels enhance average WLAN AP throughput, but narrower channels reduce appetite. Finally, it is concluded that APs are more useful than STAs.
Predicción de atributos de calidad de leche fresca no pasteurizada mediante espectroscopia dieléctrica acoplada a herramientas quimiométricas.
(Institute of Electrical and Electronics Engineers, 2022-06) Chuquizuta Trigoso, Tony Steven; Colunche, Y.; Rubio, M.; Oblitas, Jimy; Arteaga, Hubert; Castro, Wilson Manuel
El objetivo de esta investigación es predecir los atributos de calidad de la leche fresca no pasteurizada mediante espectroscopia dieléctrica acoplada a herramientas quimiométricas. Para ello, se trabajó con leche fresca no pasteurizada de la raza Pardo Suizo, obtenida del establo “La Lechera”. Se obtuvieron diluciones de agua y leche fresca del 70 al 100 %.25∘do, seguida de la caracterización fisicoquímica (densidad, sólidos totales, punto de congelación, sólidos grasos, proteínas y agua añadida) y las propiedades dieléctricas en el rango de 0,5 a 9 GHz mediante una sonda coaxial de extremo abierto (N1501A-001), conectada a un Analizador de Redes Vectoriales, modelo N9915A-Keysight Technologies. Asimismo, se empleó la regresión de mínimos cuadrados parciales para correlacionar las propiedades fisicoquímicas con las propiedades dieléctricas. Los resultados obtenidos en la predicción del punto de congelación, las proteínas, los sólidos grasos y el agua añadida de leche fresca no pasteurizada presentaron un coeficiente de determinación y un error cuadrático medio en el rango de [0,95-0,98] y [2]..57 ×10− 7− 7,46 ×10− 2]En consecuencia, se concluye que la técnica de espectroscopia dieléctrica y aprendizaje automático presenta potencial para la predicción de las características fisicoquímicas de la leche fresca no pasteurizada, pudiendo implementarse en las líneas de producción para evaluar de forma rápida y fiable la calidad de la leche de vaca.
A Cloud-Based Machine Learning Approach to Reduce Noise in ECG Arrhythmias for Smart Healthcare Services.
(Hindawi Limited, 2022-01) Jain, Paras; F. Alsanie, Walaa Fahad; Oseda Gago, Dulio; Cieza Altamirano, Gilder; Sandoval Núñez, Rafaél Artidoro; Rizwan, A.; Asakipaam, Simon Atuah
ECG (electrocardiogram) identi es and traces targets and is commonly employed in cardiac disease detection. It is necessary for monitoring precise target trajectories. Estimations of ECG are nonlinear as the parameters TDEs (time delays) and Doppler shifts are computed on receipt of echoes where EKFs (extended Kalman thlters) and electrocardiogram have not been examined for computations. ECG, certain times, results in poor accuracies and low SNRs (signal-to-noise ratios), especially while encountering complicated environments. This work proposes to track online lter performances while using optimization techniques to enhance outcomes with the removal of noise in the signal. The use of cost functions can assist state corrections while lowering costs. A new parameter is optimized using IMCEHOs (Improved Mutation Chaotic Elephant Herding Optimizations) by linearly approximating system nonlinearity where multiiterative function (Optimized Iterative UKFs) predicts a target’s unknown parameters. To obtain optimal solutions theoretically, multiiterative function takes less iteration, resulting in shorter execution times. De proposed multiiterative function provides numerical approximations, which are derivative-free implementations. Signals are updated in the cloud environment; the updates are received by the patients from home. The simulation evaluation results with estimators show better performances in terms of reduced NMSEs (normalized mean square errors), RMSEs (root mean squared errors), SNRs, variances, and better accuracies than current approaches. Machine learning algorithms have been used to predict the stages of heart disease, which is updated to the patient in the cloud environment. The proposed work has a 91.0% accuracy rate with an error rate of 0.05% by reducing noise levels.
Solution to a Damped Duffing Equation Using He's Frequency Approach
(Hindawi Limited, 2022-07) Salas S., Alvaro H.; Cieza Altamirano, Gilder; Sánchez-Chero, Manuel Jesus
In this paper, we generalize He’s frequency approach for solving the damped Du ng equation by introducing a time varying amplitude. We also solve this equation by means of the homotopy method and the Lindstedt–Poincar´e method. High accurate formulas for approximating the Jacobi elliptic function cn are formally derived using Chebyshev and Pade approximation techniques.
Swarming Computational Techniques for the Influenza Disease System
(Tech Science Press, 2022-05) Noinang, Sakda; Sabir, Zulqurnain; Cieza Altamirano, Gilder; Zahoor Raja, Muhammad Asif; Sánchez-Chero, Manuel Jesus; Seminario-Morales, Maria Veronica; Weera, Wajaree; Botmart, Thongchai
Abstract: The current study relates to designing a swarming computational paradigm to solve the influenza disease system (IDS). The nonlinear system’s mathematical form depends upon four classes: susceptible individuals, infected people, recovered individuals and cross-immune people. The solutions of the IDS are provided by using the artificial neural networks (ANNs) together with the swarming computational paradigm-based particle swarm optimization (PSO) and interior-point scheme (IPA) that are the global and local search approaches. The ANNs-PSO-IPA has never been applied to solve the IDS. Instead a merit function in the sense of mean square error is constructed using the differential form of each class of the IDS and then optimized by the PSOIPA. The correctness and accuracy of the scheme are observed to perform the comparative analysis of the obtained IDS results with the Adams solutions (reference solutions). An absolute error in suitable measures shows the precision of the proposed ANNs procedures and the optimization efficiency of the PSOIPA. Furthermore, the reliability and competence of the proposed computing method are enhanced through the statistical performances
An Internet of Things (IoT) Based Block Chain Technology to Enhance the Quality of Supply Chain Management (SCM)
(Hindawi Limited, 2022-07) Rizwan, A.; Karras, Dimitrios Alexios; Mohan Kumar, Jitendra K.; Sánchez-Chero, Manuel Jesus; Mogollón Taboada, Marlon Martin; Cieza Altamirano, Gilder
Recent technological developments indicate possible advancements in supply chain management (SCM). ese innovations have attracted a lot of interest from industries including logistics, manufacturing, packaging, and transportation. e conventional systems, however, use centralised servers to control all operations, including the exchange of raw materials, making orders, dealing with buyers and sellers, and updating orders. e network’s supply chain may thus be insecure as a result of every activity being routed via centralised servers. e danger is additionally increased by a number of di culties, including scalability, data integrity, security, and availability. Block chain technology may be used in these circumstances to decentralise transaction processing and eliminate the need for a centralised controller. In this approach, the performance of the resource-constrained supply chain network is improved by the e ective use of edge computing and priority data access. e Intelligent K-Means (IKM) clustering algorithm is suggested across the edge nodes in the current research to categorise the priority level of each piece of data. is classi er determines if the edge node has received data that is high priority or low priority. Low priority data is recorded in the log les for future data analysis. en, to allow safe data ow in the open block chain while excluding outside parties, the High Priority Access based Smart Contract (HPASC) technique is deployed. e whole experiment was conducted in a Python environment, and variables including scalability, reaction time, throughput, and accuracy were studied. Current systems’ constrained block sizes and fork creation lengthen the time transactions must wait before being processed. e suggested methodology is quicker and uses less storage space than current block chain systems. e results show that the suggested approach works better than current blockchain technology to raise the standard of supply chain management.
Artificial neural network-based heuristic to solve COVID-19 model including government strategies and individual responses.
(Elsevier, 2022-08) Botmart, Thongchai;; Sabir, Zulqurnain; Javeed, Shumaila; Sandoval Núñez, Rafaél Artidoro; Wajaree Weera; Ali, Mohamed R.; Sadat, Rahma
The current work aims to design a computational framework based on artificial neural networks (ANNs) and the optimization procedures of global and local search approach to solve the nonlinear dynamics of the spread of COVID-19, i.e., the SEIR-NDC model. The combination of the Genetic algorithm (GA) and active-set approach (ASA), i.e., GA-ASA, works as a global-local search scheme to solve the SEIR-NDC model. An error-based fitness function is optimized through the hybrid combination of the GA-ASA by using the differential SEIR-NDC model and its initial conditions. The numerical performances of the SEIR-NDC nonlinear model are presented through the procedures of ANNs along with GA-ASA by taking ten neurons. The correctness of the designed scheme is observed by comparing the obtained results based on the SEIR-NDC model and the reference Adams method. The absolute error performances are performed in suitable ranges for each dynamic of the SEIR-NDC model. The statistical analysis is provided to authenticate the reliability of the proposed scheme. Moreover, performance indices graphs and convergence measures are provided to authenticate the exactness and constancy of the proposed stochastic scheme.
De la gestión de riesgo de desastres a la gestión para el desarrollo sostenible: enfoques conceptuales.
(Universidad del Zulia, 2022-09) Javier-Silva, Luz Alexandra; Portuguez-Maurtua, Marcelo; Chávez-Juanito, Yuli Anabel
Los desastres son hechos imprevisibles que afectan el adecuado funcionamiento social. De acuerdo a la perspectiva que se asuma, estos pueden ser de origen natural, antrópicos o una correlación de fuerzas entre ambos elementos, siendo un proceso de quiebre, donde se producen pérdidas materiales e inmateriales, llevando a una crisis generalizada que afecta las estructuras sociales desde sus cimientos y, en muchas ocasiones, es perdurable en el tiempo. En virtud de lo anterior, el artículo analiza los lineamientos teórico conceptuales de los desastres, en interacción con los postulados de la gestión de riesgos de desastres, entendidos como una serie de estrategias que permiten encarar las vulnerabilidades ante los fenómenos de la naturaleza. Implica la atención internacional, el apoyo hacia la comunidad, así como avanzar hacia la construcción de un modelo de gestión pensado para la sustentabilidad. Gestionar para el desarrollo sostenible, es hacer frente a los problemas medioambientales y humanos, planteando la equidad y justicia social, ideas cónsonas un modelo incluyente e interdisciplinar, con prospectivas hacia futuro.
Detection of Listeria innocua in the dairy processing chain: resistance to antibiotics and essential oils.
(Sociedade Brasileira de Ciencia e Tecnologia de Alimentos, 2022-06) Cardoso da Rosa, Mayara; Iacuzio, Raiza; Rueda Barbosa, Giovana; Lisboa Pereira, Rodrigo De Castro; Cruzado-Bravo, Melina L.M.; Mores Rall, Vera Lúcia; Vallim, Deyse Christina; Cirone Silva, Nathália Cristina
Listeria monocytogenes is a food pathogen responsible for many foodborne disease outbreaks. Listeria innocua is similar to L. monocytogenes, could be considered biologically similar to L. monocytogenes and could be used to predict its behavior. The aims of this work were to isolate Listeria spp. in dairy processing plants, perform genotypic characterization of virulence, evaluate the antimicrobial resistance profile, and verify the sensitivity of the strains to essential oils. Sampling was held in six dairy processing plants in the region of Campinas, Brazil. Seventeen Listeria innocua strains were isolated, all negative for virulence genes inlA, inlB, inlC, inlJ, actA, plcA, and plcB. The strains were resistant to kanamycin (5.9%), penicillin (11.8%), ampicillin (11.8%), cefoxitin (58.8%), clindamycin (76.50%) and oxacillin (100%). The susceptibility of the strains to commercial essential oils (Rosemarinus officinalis, Cymbopogon citratus, Eucalyptus citirodora, Mentha piperita, Piper nigrum, Vetiveria zizanioides, Cymbopogon nardus, Cymbopogon martinii and Pogostemon cablin) was evaluated by Minimum Inhibitory Concentration (MIC) test. The results showed Cymbopogon citratus, Cymbopogon martini, Cymbopogon nardus and Mentha piperita oils were most efficient. The resistance of Listeria innocua isolated in dairy processing plants is worrisome, and the use of essential oils could be an alternative for development of new drugs and products.
Effect of arbuscular mycorrhiza on germination and initial growth of Cinchona officinalis L. (Rubiaceae).
(Taylor and Francis, 2022-09) Fernandez-Zarate, Franklin Hitler; Huaccha-Castillo, Annick Estefany; Quiñones Huatangari, Lenin; Vaca-Marquina, Segundo Primitivo; Sánchez-Santillan, Tito; Morales-Rojas, Eli; Seminario-Cunya, Alejandro; Guelac-Santillan, Marly; Barturén Vega, Luci Magali; Coronel-Bustamante, David
Cinchona officinalis, known locally as cascarilla or cinchona, is a plant species native to South America. It was used as a source of quinine to combat malaria in the 17th century. The species is threatened by various anthropogenic activities. Further, the propagation of the species depends on seed dispersal and its germination capacity. Therefore, it is necessary to conserve and propagate this species. Because C. officinalis seeds have a low germination capacity, we determined the effect of arbuscular mycorrhizae (AM) on their germination and growth. A randomized design was employed with two treatments, one treated with mycorrhizae (CM) and another without mycorrhizae (SM). For each treatment, three replicates of 100 seeds were used. Germination, growth, and fungal characteristics were evaluated. In germination parameters, the CM treatment showed better performance, but the improvement was statistically insignificant. However, the application of AM significantly improved seedling height (cm), root length (cm), leaf area (cm2), and root number by 53.52, 28.72, 29.73, and 61.66%, respectively. Likewise, mycorrhization intensity (%), mycorrhization frequency (%), and extraradical mycelium length (cm) in the CM treatment were 37.13, 3.44, and 174.97% higher compared to the SM treatment, respectively. Therefore, the use of AM fungi proves to be advantageous in the propagation of C. officinalis, and these results provide a basis for the largescale and sustainable propagation of this species.
Artificial intelligent investigations for the dynamics of the bone transformation mathematical model.
(Elsevier, 2022-10) Cholamjiak, Watcharaporn; Sabir, Zulqurnain; Zahoor Raja, Muhammad Asif; Sánchez-Chero, Manuel Jesus; Oseda Gago, Dulio; Sánchez-Chero, José Antonio; Seminario-Morales, Maria Veronica; Oseda Gago, Marco Antonio; Agurto Cherre, Cesar Augusto; Cieza Altamirano, Gilder
In this study, the stochastic numerical solutions of the fractional myeloma bone disease system (FMBDS) have been presented. The fractional order investigation provides more accurate solutions of the FMBDS. The FMBDS is classified into three dynamics and the solution of each class is presented by using the artificial neural network enhanced by the scale conjugate gradient procedures (ANN-SCGPs). Three different fractional order performances have been used to present the solutions of the FMBDS by applying the ANN-SCGPs. The statics is chosen as 11%, 12% and 77% for training, testing and verification. Twelve number of hidden neurons with input and output layers have been proposed for the FMBDS. The comparison of proposed and reference solutions is performed that shows the accuracy of the ANN-SCGPs. The consistency, validity, precision, and capability of the ANN-SCGPs can be judged based on the state transitions values, regression actions, correlation behaviors, error histograms, and mean square error data.
Efecto de raza, momento del día y características del pelo sobre la frecuencia cardiaca y respiratoria, y temperatura rectal y de piel en vacunos en zona de confort.
(Universidad Nacional Mayor de San Marcos, 2022-08) Poma Gutiérrez, Adolfo Guillermo; Hinojosa Benavides, René Antonio; Quispe Peña, Edgar Carlos
El estudio tuvo como objetivo evaluar el efecto de la raza, momento del día y media de la densidad de pelos (MDenP) sobre la frecuencia cardiaca (FC), frecuencia respiratoria (FR), temperatura de piel (T°P), temperatura rectal (T°R) y diferencia T°R- T°P. Se trabajó con 10 vaquillas (4 Holstein y 6 criollas) entre 14 y 18 meses de edad, criadas al pastoreo y con temperatura ambiental (T°A) promedio de 17.6 °C y humedad relativa (H°R) promedio de 60.5%. Para el monitoreo de la FC, FR y T°P se utilizó un monitor de signos vitales llevable. Las mediciones se hicieron en la mañana, tarde y noche. La evaluación de la densidad de pelaje se realizó mediante el dispositivo FIBER DEN y el diámetro medio del pelo (DMP) con el equipo FIBER EC. Para evaluar el efecto de la raza, momento del día y MDenP sobre la FC, FR, T°R, T°P se aplicó un modelo aditivo lineal con dos covariables (T°A y H°R). Para las comparaciones múltiples se utilizó la prueba de Duncan, y para la evaluación de las relaciones entre las variables se calculó las correlaciones de Pearson. La FC, FR, T°P y la diferencia T°R-T°P fue de 70.1±6.8 lpm, 23.6±7.2 rpm, 31.65±1.35 °C y 7.2±1.5 °C, respectivamente, sin diferencias por raza ni momento del día. La raza no tuvo efecto sobre FR y T°R, pero en la mañana y tarde los animales tuvieron mayor FR que en la noche, al igual que con respecto a la diferencia T°R-T°P. Se concluye que, bajo las condiciones del estudio, la T°A, momento del día y HR tiene efecto sobre la T°R, T°P y la gradiente T°R-T°P, aunque este efecto disminuye cuando el DMP es bajo.
Communication as a Philosophical-Cultural Problem Notes for your Understanding
(Universidad del Zulia, 2022-07) Oseda Gago, Dulio; Añaños-Bedriñana, Marco A.; Mendivel Geronimo, Ruth Katherine; Morales Bedoya, Marco Antonio
In the 21st century, the changes caused by globalization and by the social dynamics of the new post-COVID-19 normality pose problems when it comes to defining communication relationships between individuals. From this point of view, communication problems involve several edges, difficult to face. In most cases, communication failures occur, due to the complex variety of nuances present in communication, as well as the lack of understanding of its concepts and the great breadth of cultural expressions, which can be conceived as diverse, not find space in everyday scenarios. In this sense, analyzing the scope of communication embodies a problem for philosophy, especially for philosophical anthropology, since it values communication as a representative act of cultural identity, since it responds to the ways of expressing, orally or gesturally, the human interior. This cultural universe is wide and there are not enough analyzes to define how communication influences the processes of cultural transmission. Under the hermeneutic-documentary method, the article explores the communication process, as a means to express the ontological and epistemic reality of individuals, as a meeting space, a source that enriches culture, identity and social interaction.

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