bluuebunny/crossref_metadata_2025 huggingface dataset:
Algoritmos para la Implementación Computacional del Método de Gauss- Newton para el Problema de Aproximación No Lineal
Authors: Canchoa Q. Alessandri
Published: April 2024

En el presente trabajo de investigación se desarrollan los algoritmos para la implementación computacional del método de Gauss-Newton para el problema de aproximación no lineal, en particular para el problema de mínimos cuadrados no lineal.
Validación de una Metodología de Identificación del Carbón Vegetal del género Prosopis (Algarrobo) a partir de la estructura anatómica
Authors: Pipa C. Edith , Chavesta C. Manuel , Gonzales M. Héctor
Published: April 2024

El objetivo del presente trabajo fue validar una metodología para identificar carbón vegetal de Algarrobo (Prosopis sp) a nivel macroscópico. La metodología consiste en realizar observaciones de las características macroscópicas a nivel de madera y carbón vegetal usando una lupa de 10X; se tomaron macrofotografías de otras tres especies usadas en la fabricación de carbón como son Aguano masha (Machaerium inundatum), Eucalipto (Eucaliptus globulus) y Olivo (Olea europea). Del análisis se concluye que el tipo y distribución de poros, así como el tipo de parénquima en el género Prosopis y las otras especies analizadas, son características que perduran después del proceso de carbonización y por tanto, es información de importancia para identificar carbones vegetales producidos a nivel comercial de maderas; por lo que se valida la metodología empleada en el presente trabajo para identificar la especie de madera.
Análisis de rentabilidad productivos de rotación según sistemas mecanizados de labranza convencional y de conservación
Authors: Campos M. Santiago , Araujo R. Héctor
Published: April 2024

Esta investigación se llevó a cabo entre el 08 de julio del 2004 y 31 de mayo del 2006. El área experimental fue de 6,048 m2, en el terreno “Libres I” del Campo Agrícola Experimental “El Fundo”-UNALM; usando el Diseño en Bloques Completos al Azar con los tratamientos en arreglo factorial y modelos de regresión lineal simple y múltiple. El índice de rentabilidad en los tres cultivos (Trigo Centenario, Fríjol Caraota y Maíz Amarillo Duro DK-5005), en Sistema de Conservación (L-0) fueron: en el uso de compost: 27.80, 1.11 y 54.48 %; y con NPK: 119.57, 53.13 y 112.36% los cuales resultaron mayores al Sistema Convencional (L-1, L-2 y L-3). Los valores promedios de costos totales de producción con la labranza para L-1, L-2 y L-3 se mantienen bastante similares (3340.52, 3345.91 y 3315.23 S//Ha); mientras que para L-0 es de 3076.33 S//Ha. La relación Costo Maquinaria/Costo Total de Producción de los sistemas de labranza L-1 y L-2 fueron en promedio de 23.07 y 23.34 respectivamente mientras que L-3 y L-0 fueron de 19.21 y 17.32. La ecuación de predicción de consumo de combustible “y” (gal/h) en función de la resistencia a la penetración del suelo “x” (kg/cm2), de mayor significación estadística del Cultivo de Trigo Centenario fue: En Labranza Primaria para Arado de Rejas (Función Potencial B-I, B-II, B-III): y = 0.339 x0.1319 , R2 = 0.9415 .Las recomendaciones más importantes fueron: emplear la labranza-cero ó siembra directa con cobertura vegetal para disminuir los costos de producción y conservar los suelos; y seguir experimentando con mayor número de repeticiones.
Generación de series sintéticas mensuales del Río Chira mediante el uso de Modelos Markovianos
Authors: Sánchez T. Jaime , Sánchez D. Miguel
Published: April 2024

En el presente estudio, se trata de generar series sintéticas medias mensuales del río Chira mediante el uso de modelos markovianos y luego se determina la capacidad de embalse óptimo, para lo cual se emplea el método Range, ya que de los estudios realizados, la represa Poechos tiene actualmente una vida útil de 20 años aproximadamente, como alternativa se propone el diseño de un embalse en la quebrada de San Francisco, ubicada en la cuenca del Río Chira. Se inicia, con el análisis de consistencia de la información de las series de descargas medias mensuales del Río Chira, sobre la base de las estaciones hidrométricas Ardilla y Ciruelo, ubicadas aguas arriba del embalse Poechos, resultando ambas series de tiempo consistentes, luego, se efectuo el modelamiento estocástico, mediante la utilización de los modelos markovianos ampliamente usados en la hidrología estocástica. De la calibración y validación de las series de tiempo simuladas, se determinó que el modelo markoviano de segundo orden AR (2), para la estación Ardilla y el modelo markoviano de tercer orden AR (3), para la estación Ciruelo, son las que generan los mejores estadísticos históricos de las series analizadas. Para la calibración y validación se usó el programa de cómputo SAMS 2000 (Análisis Estocástico, Modelamiento y Simulación), versión 98.1. Basados en los modelos antes mencionados se generaron 20 series sintéticas de 50 años cada una, para cada estación, con la ayuda del programa de cómputo SAMS 2000. Luego se determinó la capacidad de almacenamiento por el método Range, con las series generadas, con los datos de la estación Ardilla debido a que se ubica aguas abajo y registra dos tributarios más respecto a la estación Ciruelo. Finalmente se determinan experimentalmente la distribución de probabilidades de la capacidad de embalse, las cuales se ajustan a una distribución log-normal de dos parámetros.
Escenarios de futuro de la Universidad Nacional Agraria La Molina de Perú
Authors: Mercado C. Waldemar
Published: April 2024

Objetivo. Identificar variables relevantes del entorno de la UNALM para caracterizar diversas tendencias que permitan construir escenarios exploratorios (posibles y futuros). Métodos. Considerando el entorno de la universidad pública y las tendencias internas en la UNALM, se revisa la historia institucional, se elabora la matriz SWOT y el análisis PESTEV para identificar tendencias del pasado y presente hacia el futuro, a partir de esas relaciones y de drivers relevantes, se diseñan dos escenarios para confrontar diferentes senderos de futuro.
Modelos Lineales Mixtos con estructura de correlación en el Análisis de Datos Longitudinales. Un caso aplicado
Authors: Vargas P. Ana
Published: April 2024

Objetivo. Identificar variables relevantes del entorno de la UNALM para caracterizar diversas tendencias que Es usual que los resultados de un experimento con medidas repetidas a través del tiempo en una misma unidad experimental sea analizado utilizando el análisis de varianza de parcelas divididas (análisis clásico), pese a que en la mayoría de los casos no siempre es posible asumir independencia entre las mediciones porque los datos longitudinales normalmente presentan correlación entre las medidas hechas a una misma unidad experimental. Una alternativa de análisis, con datos provenientes de un diseño longitudinal, es utilizar un modelo lineal mixto, que incluya una estructura de correlación entre las mediciones de cada unidad experimental. En este trabajo se aplican el análisis de varianza de parcelas dividas y modelos lineales mixtos con estructura de correlación entre las mediciones, para el análisis de muestras de leche tomadas con el fin de determinar si existe diferencias en el nivel de acidez entre muestras de leche tomadas en cuatro localidades distintas a través del tiempo. Para la estimación del modelo lineal mixto se eligió como estructura de correlación entre las mediciones de cada muestra la unstructured (no estructurada) por presentar un mejor ajuste (BIC=-13.2) entre cuatro distintas estructuras evaluadas (simetría compuesta, AR (1), toeplitz). Al comparar los resultados de la interacción tratamiento y tiempo del ANVA obtenido con el análisis clásico (parcelas divididas) muestra una no significancia (p-valor=0.1082) a diferencia del obtenido incluyendo la estructura de correlación ajustado a un modelo lineal mixto (p-valor=0.0406).
¿Corresponde o no convocar a referéndum la devolución de dinero de FONAVI?
Authors: Ardiles R. Grecia
Published: April 2024

El presente trabajo de investigación fue realizado aplicando la comparación de los criterios planteados tanto por el Tribunal Constitucional y el Jurado Nacional, respeto a convocar a referéndum la portación FONAVI. Ambos entes del Estado son de opiniones contrarias al referirse si la aportación FONAVI, es o no un tributo, por lo que el punto de discrepancia es catalogar o no a la aportación FONAVI, como tributo. Este tema es fundamental, dado que, la controversia se origina, puesto que, la Constitución Política, establece que no se puede someterse a referéndum cuestiones de carácter tributario. El objeto de la presente investigación es determinada como punto neurálgico si la aportación FONAVI es o no un tributo, para lo cual hemos recopilado la opinión del Tribunal Fiscal, Jurado Nacional de Elecciones y Tribunal Constitucional. Concluyendo que el tribunal Fiscal asume la posición que el FONAVI es un tributo (en la categoría de directo e indirecto), el Jurado Nacional de elecciones lo señala como tributo y el Tributo Constitucional, no lo reconoce como tal. Asimismo como principal conclusión podemos resaltar que existen elemento que determinan a la aportación FONAVI como tributo la discrepancia que pudiera existir es que si dentro de la categoría de tributo se le considera como contribución. Otra idea a resaltar es que se debe respetarel orden normativo y buscar que las diversas instituciones no tengan ingerencias impositivas en las diversas instituciones cuando se ha establecido y delimitado claramente las atribuciones de cada ente, órgano o institución del Estado, esto genera inseguridad jurídica.
Evaluación del desempeño de alumnos de la UNALM según su modalidad de ingreso
Authors: Huertas C. Elias , Bullón C. Luz
Published: April 2024

El propósito de esta investigación es determinar si el rendimiento académico es diferente para las diversas modalidades de ingreso a la Universidad Nacional Agraria La Molina (UNALM): Admisión ordinaria, Centro Pre Universitario de la UNALM y Exonerados. Además, determinar si las diferencias son estadísticamente significativas. Los alumnos provenientes del Centro Pre de la UNALM deben tener ventaja porque los preparan especialmente para ello. Después de once ciclos cursados, 11% de los alumnos terminaron sus estudios, 52% de los alumnos se mantiene en situación normal, 30% con algún tipo de observación y 7% ha sido separado definitivamente de la UNALM. Se ha determinado que no existe diferencia estadística significativa en el rendimiento académico de los alumnos de las diferentes modalidades de ingreso a la UNALM. Se rechaza la hipótesis de que los alumnos del Centro Pre Universitario de La UNALM presentan mejores rendimientos que los ingresantes por otras modalidades.
Costo de oportunidad en el valor económico del agua superficial para el uso agrícola en el Valle del Río Mala
Authors: Jimenez D. Luis
Published: April 2024

Se determina el costo de oportunidad de los usos consuntivos y no consuntivos del agua superficial para uso agrícola en el valle de Mala, se aplicaron encuestas a los agricultores, se identificó la curva de demanda y el excedente del consumidor para los usos doméstico, explotación de camarones y recreación. Entre los hallazgos, el 70% de agricultores considera que el problema principal es la deficiente cantidad de agua, por ese motivo, se implementan las "mitas". La superficie agrícola está mayormente dedicada al cultivo del manzano que demanda 9,500 m3 por cosecha de 8 meses. Este cultivo tiene una relación directa con su precio y una relación inversa a la cantidad consumida de agua, existiendo un uso ineficiente. El agua en un huerto de manzana, con tecnología intermedia, tiene un valor, costo del consumo y tarifa de 0.18, 0.10 y 0.02 US$/m3; respectivamente. Calculando los costos de oportunidad, en el uso consuntivo, el agrícola es de US$ 0018/m3 y el doméstico es de US$ 0.032/m3; mientras que en el uso no-consuntivo, la explotación de camarones es de US$ 0.017/m3 y la recreación de US$ 0.016/m3. Llegando a identificar que el uso doméstico es el de mayor valor.
Estudio de las principales características fisicoquímicas y comportamiento del Sanqui (Corryocactus brevistylus subsp. puquiensis (Rauh y Backeberg) Ostolaza) en almacenamiento
Authors: Nolazco C. Diana , Guevara P. Américo
Published: April 2024

El presente trabajo de investigación, permitió caracterizar físicoquímicamente al sanqui; y determinar su comportamiento en almacenamiento. La pulpa de sanqui presentó la siguiente composición fisicoquímica: humedad 95.2%, proteínas 1.3%, grasa 0.0%, carbohidratos 3.1%, fibra 0.9%, cenizas 0.4%, vitamina C 57.1 mg/100 gr., capacidad antioxidante 474.8 ug. de eq. Trolox/gr., calcio 104.5 ppm, potasio 5566.4 ppm, fósforo 128 ppm, magnesio 145 ppm, acidez 2.3%, pH 2.7, ºBrix 2.9; y la cáscara: humedad 91.6%, proteína 1.4%, grasa 0.0%, carbohidratos 5.6%, fibra 1.7%, cenizas 1.4%, Vitamina C 2.5 mg/100 gr. de fruta, calcio 752 ppm, potasio 1743.9 ppm, fósforo 67 ppm y acidez 0.54%. Se determinó que están presentes las siguientes sustancias fitoquímicas en pulpa: azúcares reductores, lactonas, triterpenos-esteroides, antocianidinas y mucílagos; y en cáscara: azúcares reductores, triterpenos-esteroides y catequinas. De las tres temperaturas de almacenamiento evaluadas: 6ºC, 12ºC y 18°C, se determinó que el sanqui se conserva mejor a 6°C y 90% de H.R.
Estudio de la elaboración de conservas de Trozos de Jurel (Trachurus picturatus murphyi) en aceite vegetal en envases flexibles esterilizables
Authors: Porturas O. Raúl , Juyo V. Víctor
Published: April 2024

El presente trabajo de investigación trato sobre el procesamiento de jurel (Trachurus picturatus murphyi) bajo la forma de conservas de trozos en aceite vegetal en envases flexibles esterilizables, determinando los principales parámetros de dicho proceso; evaluación de las características sensoriales, químicas y microbiológicas, así como el rendimiento del producto final. La temperatura de cocción fue de 94°C por 30 minutos pasando a un enfriamiento para realizar la respectiva limpieza del pescado cocido y el llenado de los trozos en los envases flexibles esterilizables. En ellos, se agregó el líquido de gobierno que estuvo constituido por 9 g de aceite vegetal, 2.55 g de fibra de trigo, y 1.5 g de sal. El tratamiento térmico se llevó a cabo a un F0 de 6.5 minutos, lo que determinó un tiempo de proceso de 33.45 minutos. Además de ello, se demostró la viabilidad técnica del uso de envases flexibles esterilizables en alimentos marinos, el cual permite obtener un producto con mejores características que los productos tradicionales, como se pudo observar a través de los resultados de las pruebas de preferencia y aceptabilidad realizadas al producto final. La evaluación del producto final dio un producto de buena calidad desde el punto de vista sensorial, químico y microbiológico, obteniéndose un producto innovador para el mercado, que aprovechando un recurso pesquero subexplotado incrementa la oferta exportable del país con productos de alto valor agregado.
Análisis de las exportaciones pesqueras no tradicionales durante 1990 al 2005
Authors: Olaya M. Maria
Published: April 2024

Las exportaciones pesqueras no tradicionales representaron en promedio el 3.1% del valor nacional durante el periodo de 1990 al 2005. Las exportaciones pesqueras no tradicionales han crecido en el orden del 5% por año habiendo generado 322.5 millones de dólares en el 2005. La jibia, calamar y pota congelada fueron los productos pesqueros no tradicionales que generaron la mayor cantidad de divisas. A los principales países que se exportó fueron: Estados Unidos (20%), España (15%) y Francia (9%). Las exportaciones pesqueras no tradicionales de Chile fueron 6.05 veces más que el Perú en el 2005
Identification and Functional Characterization of Essential Genes Related to Gefitinib Sensitivity in Lung Adenocarcinoma
Authors: Wang Rui , Zhang Lu
Published: April 2024

Aims:

This study aimed to determine the molecular markers related to gefitinib sensitivity
for guiding the prognosis of lung adenocarcinoma (LUAD) and providing new evidence for
promoting the precise treatment of LUAD.

background:

The World Health Organization stressed the need for molecular markers as diagnostic criteria for lung cancer in 2015 and 2021.

Background:

Lung adenocarcinoma (LUAD) is a prevalent lung cancer subtype with inferior survival
outcomes. However, gefitinib is the first molecular targeted drug approved by Food and
Drug Administration (FDA) to treat advanced LUAD. Gefitinib sensitivity-related gene targets for
LUAD are rarely studied.

objective:

This study was designed to determine the potential molecular markers related to the sensitivity of Gefitinib in lung adenocarcinoma (LUAD), and to study their relationship with tumor biological traits.

Objective:

This study was designed to probe the potential molecular markers related to the sensitivity
of gefitinib in LUAD.

Methods:

The gene expression profiles of LUAD cells in the Genomics of Drug Sensitivity in Cancer
(GDSC) database were used for Weighted Gene Co-expression Network Analysis (WGCNA)
to select the modules most related to gefitinib sensitivity. The Cancer Genome Atlas (TCGA)
database was used to compare the expression of LUAD and para-cancerous tissues. Differentially
expressed genes (DEGs) were then filtered and intersected with the highly linked genes in the module
relevant to gefitinib sensitivity. Univariate Cox regression analysis was conducted to identify
prognostically related genes to LUAD. The correlation between genes and drug IC50 was calculated
by Spearman correlation analysis. Quantitative RT-PCR and immunofluorescence detection
validated hub genes FAM13B and PFKP expressions.

Results:

Among the 10 modules divided by WGCNA, the module with the most significant positive
correlation and the most significant negative correlation with gefitinib sensitivity were found.
FAM13B, PFKP, FGD3, RNASE1, MUC16, GJB5, and GJB3 were hub genes related to gefitinib
sensitivity in LUAD. Significantly, the low expressed FAM13 in LUAD tissues positively correlated
with immune response. At the same time, overexpressed PFKP in the LUAD cohort was related
to an unfavorable prognosis, cell proliferation, and cell cycle. We also found that FAM13B and
PFKP expressions were enhanced in LUAD cell lines.

Conclusions:

This study identified 7 critical genes related to gefitinib sensitivity in LUAD. Functionally,
genes positively correlated with gefitinib sensitivity might regulate the progression of LUAD
through the immune, cell cycle, and metabolic pathways and showed potential effects in predicting
sensitivity to different drugs. These findings help offer a theoretical direction for personalized
treatment of LUAD.
Technological Aspects of Nanoemulsions for Post-harvest Preservation of Fruits and Vegetables
Authors: Patel Divyesh , Jha Anamika , Shah Jinal
Published: April 2024

Recent times have witnessed a growing demand for sustainable technology for food
preservation that can retain its freshness, promises lower contents of additives and preservatives,
safe consumption, eco-friendly milder processing technologies and eco-friendlier packaging solutions.
Application of Biopolymers has served as the most sustainable and viable option to its
synthetic counterparts. These biopolymers have been incorporated to develop biodegradable
packaging like edible films and coatings owing to their biological origin. Nanoemulsion technology
offers a leap forward to upgrade the features of conventional biodegradable packaging items.
The present review discusses various trends and perspectives of nanoemulsion technology in
post-harvest preservation for enhancing the shelf life of fresh fruits and vegetables. It investigates
the interconnectedness between food preservation techniques, biodegradable packaging
materials made from biopolymers, and nanoemulsions. It further addresses the preservation challenges
post-harvest and underscores the limitations of conventional preservation methods, advocating
for eco-friendly alternatives with a specific focus on the potential of nanoemulsions in enhancing
food safety and quality. This review elaborates on the composition, formulation techniques,
nanoemulsion products and role of nanoemulsions in the management of foodborne
pathogens. Furthermore, it examines the potential health hazards linked to the use of nanoemulsions
and stresses the significance of a regulatory framework for food safety. In conclusion, this
review offers insights into the promising prospects of using nanoemulsions in food preservation.
In-vitro Lipolysis, Stability and Pharmacodynamic Study of Cilnidipine Loaded Self-emulsifying Drug Delivery System
Authors: Kadian Renu , Nanda Arun
Published: April 2024

Aims:

The aim of this research work was to investigate the potential ability of cilnidipine-
loaded-Self-Emulsifying Drug Delivery System (SEDDS) to improve the solubility and oral
bioavailability of cilnidipine.

Background:

The therapeutic value of drugs is constrained by the low oral bioavailability of BCS
class II drugs. In order to improve the solubility and oral bioavailability of poorly water-soluble
drugs, SEDDS are frequently utilised.

Methods:

To develop the cilnidipine-loaded-SEDDS formulation, Canola oil as the oil phase, tween
80 as the surfactant, and PEG 300 as the co-surfactant were used. The SEDDS formulation was
evaluated based on stability study per ICH guidelines, drug precipitation during in-vitro lipolysis
study under fasted and fed state, and in vivo pharmacodynamic study in Wistar rats. The content of
the drug was determined by assay of SEDDS formulation using the official method of cilnidipine.

Results:

The pharmacodynamic study demonstrated that cilnidipine-loaded SEDDS formulation
significantly produced a rapid antihypertensive effect (within 2 h) that lasted for 24 h in comparison
to drug suspension. During the in vitro lipolysis study, the concentration of the drug recovered from
the aqueous phase under both fasted and fed state was more than 90% after 10 minutes, with a minute
amount of drug involved in precipitation. At stability conditions of 30 ± 2°C/65 ± 5%RH for a
duration of six months, the SEDDS formulation was found to be stable. The content of cilnidipine
in the SEDDS formulation was found to be 98.4%.

Conclusion:

A BCS class-II drug's oral bioavailability and dissolution might be improved using the
self-emulsifying drug delivery method.
Development and Outlook for the FDM Printed Nozzle Structure
Authors: Zhang Yuan , Lu Shuai , Yang Yupeng , Zhou Enwen
Published: April 2024

The nozzle is one of the parts of a 3D printer that cannot be missed because of its widespread
popularity in recent years. The nozzle's structure determines the quality of the printed product;
therefore, selecting a suitable nozzle structure is crucial.
With the advancement of 3D printing technology in recent years, 3D printers have progressively
come under investigation. Examining the design of the nozzle, feeding mechanism, and printing
platform can help to increase the quality of the prints. The design and enhancement of the nozzle
structure are beneficial to the advancement of 3D printing technology since it is one of the key elements
influencing print quality.
Using the research methods, research content, and invention structure of the most recent representative
patents on this nozzle structure, the features and operating principle of the 3D printed nozzle
structure are illustrated.
To classify and examine the nozzle temperature and nozzle clogging that impact the nozzles, a patent
analysis of various types of 3D printing nozzle structures is carried out. Future trends in 3D printing
nozzle structures are also covered.
The issues caused by nozzle work can be resolved to increase product quality and precision by comparing
various 3D printing nozzle structures. This will also lead to the invention of more relevant
patents in the future, including those about printing numerous nozzles and high-strength metals.
Research Progress on Nonlinear Modeling of Electro-Hydraulic Servo Systems and Innovative Applications of Control Strategies
Authors: LI Jianying , Li Donglai , Chen Shuxin , Rong Wang
Published: April 2024

In various specific application domains, electro-hydraulic servo systems are widely
adopted due to their high power-to-volume ratio, superior dynamic response performance, and extremely
high control accuracy. However, the inevitable presence of nonlinear factors in the system
poses a series of challenges for precise mathematical modeling and the design and application of
different forms of control strategies. This article aims to explore how various control strategies are
specifically implemented to address the nonlinear characteristics of electro-hydraulic servo systems,
building upon the research progress in modeling these systems considering nonlinear factors. Subsequently,
the article summarizes their innovative applications in electro-hydraulic servo systems.
Simultaneously, relevant patents and technologies were reviewed and summarized. The paper provides
a detailed comparison and analysis of various nonlinear modeling methods, with a particular
focus on the significance of neural networks and fuzzy logic control in enhancing the performance of
electro-hydraulic servo systems. The article reveals significant advancements in modern control
strategies in dealing with uncertainties and disturbances within the system, offering new perspectives
and ideas for improving system efficiency and achieving energy resource conservation with technological
progress. The review provides a series of practical recommendations aimed at optimizing the
performance of electro-hydraulic servo systems. Despite progress in multiple research endeavors,
future research should focus on further enhancing system performance and applying these strategies
to a broader range of scenarios.
Green Synthesis of Ag-Doped CuO Nanocomposites Using Honey Solution for Evaluation of their Antimicrobial and Antioxidant Activities
Authors: Gebremichael Tekileab Engida , Muleta Gutta Gonfa , Tadele Kirubel Teshome
Published: April 2024

Background:

The rise of infectious diseases especially due to drug-resistant microbes
and free radicals has caused a serious threat to public health worldwide. Green synthesized nanomaterials
(NMs) have emerged as promising candidates to minimize the damage due to these problems.
Doping the bioactive and stable silver atom into the biocompatible CuO by capping the nanoparticles
with phytochemicals from honey enhanced the biological activity. The present study aimed
to synthesize Ag- CuO NCs using the honey solution for antimicrobial and antioxidant activity evaluation.

Methods:

The nanoparticles (NPs) and nanocomposites (NCs) were successfully synthesized using
the honey solution and characterized by spectroscopic techniques such as XRD, UV-Vis, FTIR, and
SEM. The role of the secondary metabolites in honey solution is to stabilize the fabricated NMs by
capping.

Results:

The red shift observed with the addition of Ag dopant indicates the narrowing of the CuO
band gap. FT-IR characterization confirmed the presence of various functional group bands in the
synthesized NMs. The spectral band between 900–500 cm−1 displays the presence of metal-oxygen
and metal-metal bonds, confirming the production of pure CuO NPs and Ag-CuO NCs. The fabricated
CuO NPs and Ag-CuO NCs have crystalline structures with crystallite sizes of 14.14 and 17.40
nm respectively. SEM data showed that CuO NPs are spherical and Ag-CuO NCs have a mixture of
spherical and cubic shapes. The NMs displayed concentration-dependent biological activities.

Conclusion:

The successful incorporation of silver into the crystal lattice of CuO integrated with
the presence of secondary metabolites on the surface improved the potential. Hence, the prepared
NMs may have pharmaceutical applications in the future with some modifications for the enhancement
of their potential.
Micropropagation of Ginger (Zingiber officinale Roscoe)
Authors: Kumar Sishu Nayan , Deepa Sankar Parasurama , Immanuel Selvaraj Chinnadurai
Published: April 2024

Zingiber officinale, belonging to the family of Zingiberaceae, is commonly
known as ginger and is commercially grown as a spice and for culinary purposes. It is a
potential Ayurvedic herb with many medicinal properties. A small section of the plant's
rhizome is widely used for micropropagation. Besides rhizome explants, callus
induction, shoot induction, and meristem culture are used to propagate the plant. For
the production of ginger's pest-resistant and disease-free planting material,
micropropagation is regarded as the best method. Various classes of bioactive entities,
such as flavonoids, alkaloids, glycosides, phenols, tannins, terpenoids, steroids,
saponins, and oils, have been identified in the plant. Phenolic bioactives such as
gingerols and shogaols are primarily responsible for their therapeutic properties.
Various pharmacological activities have been investigated in ginger. This review
concentrates on different advanced methods for ginger propagation, especially
micropropagation.
Advances in Micropropagation Techniques of Aegle marmelos (L.) Corr.: A Review
Authors: Agarwal Kalpana , Bhardwaj Richa
Published: April 2024

Aegle marmelos (L.) Corr. is a plant of religious and medicinal importance
in India. All of its plant parts have been reported to possess medicinal uses due to the
presence of various phytoconstituents. Looking at its perspectives, Aegle is
successfully propagated in vitro, primarily through organogenesis, using numerous
explants. Efficient micropropagation is ensured by proper sterilization, preparation of
explants, and use of antioxidants to avoid media browning. Various factors that affect
the regeneration rate include season of explant collection, explant origin, phenological
growth stage, concentration and combination of Plant Growth Regulators (PGR),
culture media composition, and addition of additives to the media to enhance the
micropropagation rate. The present review chapter compiles numerous reports of the
effective micropropagation of A. marmelos and factors that affect the rate of
micropropagation.
Micropropagation of Pharmaceutically Important Plant Tinospora cordifolia (Willd.) Hook. f. & Thomson: An Overview
Authors: Hegde Sachet , Bhat Pradeep , Jayagoudar Santoshkumar , Ghane Savaliram G , Hegde Harsha V.
Published: April 2024

Tinospora cordifolia (Willd.) Hook. f. & Thomson belongs to the family
Menispermaceae. The origin of the species is from Indian subcontinent to Indo-China.
The plant has antipyretic, antiperiodic, anti-inflammatory, antirheumatic, spasmolytic,
hypoglycaemic and hepatoprotective properties. Due to over-exploitation of this
medicinally important species, attention has been given to its conservation through invitro micropropagation techniques. The present chapter emphasizes the ample research
work on in-vitro regeneration and enhancement of secondary metabolites from T.
cordifolia. Additional information on the importance of this genus in various systems
of medicine, active components, biological activities and its sustainable utilization for
the welfare of mankind is also discussed in the present chapter.
A Systematic Review of Phytoconstituents and Tissue Culture Studies of the genus Hoya R. Br.
Authors: Jayagoudar Santoshkumar , Bhat Pradeep , Hegde Sachet , Ghane Savaliram G. , Hegde Harsha V.
Published: April 2024

The genus Hoya (Family: Apocynaceae) has more than 500 species,
comprising mainly of epiphytes and geographically distributed in South America,
Southeast Asia, Indo-Malesia and Australian regions. Most of the species are cultivated
for their ornamental, aromatic and showy flowers. Philippines is one of the countries
with the highest diversity of Hoya species. As seed setting is very rare in most of the
species, it necessitated the development of conservation strategies through ex situ
conservation methods using vegetative or micropropagation techniques. Present chapter
provides detailed information on the traditional uses, phytoconstituents, conservation
status and micropropagation studies of the ornamental and medicinally important genus
Hoya.
Micropropagation of Stemona tuberosa Lour. –A Review
Authors: Sri Rama Murthy K. , Raghu Ramulu D.
Published: April 2024

The present review summarises the in vitro multiple plantlet regeneration of
Stemona tuberosa. MS medium fortified with 7 mg/L Kn was found to be the optimum
for multiple shoot induction from axillary buds. Excision and culture of nodal segments
from the in vitro shoots on medium containing 7 mg/L Kn and 4 mg/L TDZ showed a
maximum number of shoot multiplication. Shoots developed were rooted best on ½
strength MS with 1 mg/L IAA. Plantlets established in pots exhibited 85% survival.
The Impact of Service Quality Relationship on Customer Loyalty at Legendary Restaurants R4 in Malang City
Authors: Riyadi Sahrul Dwi , H.W. Agustina Shinta , Andriani Dwi Retno , Anam Moch Alawy Syaiful
Published: April 2024

Each region certainly has its own culinary specialties, as Malang City is a tourist city that has many culinary specialties and has been established for a long time with hereditary recipes such as legendary restaurants R4. Culinary of a region is one of the main attractions for tourists, especially with the brand image that has been built in the general public which makes legendary culinary in Malang worth visiting. However, intense competition in the restaurant industry is also experienced by legendary restaurants in Malang, so efforts are needed so that legendary restaurants can continue to compete, one of which is by paying attention to the service quality provided to consumers so that consumers become loyal. In addition to aspects of service quality, legendary restaurants also need to pay attention to aspects of customer satisfaction, customer delight, and brand image which can later help build consumer loyalty and make legendary restaurants in Malang able to compete. Therefore, this research is very important to do to find out how far the effect of service quality on customer loyalty is through customer satisfaction, customer delight, and the role of brand image in moderating. This research was analyzed using SEM-PLS with 100 respondents with age criteria >17 years and having visited at least 2 times. This research shows that the service quality provided by the four restaurants has a positive and significant role on customer satisfaction, customer delight, and customer loyalty because the quality of service provided by the four restaurants is considered good, besides that brand image is able to strengthen the relationship between service quality and customer loyalty. So it is necessary for legendary restaurants to improve the quality of their services in order to get loyalty from their consumers and be able to compete with new restaurants.
The Application Theory of Planned Behavior to Predict an Indonesian Muslim Student’s Intention to Buy Halal Foods in Taiwan
Authors: Ardiyanto Anang Nur , Lin Chun-Nan , Maulidah Silvana , Moh. Shadiqur Rahman  , Shaleh Mohammad Ilyas
Published: April 2024

There are many of foreign students who studying abroad are certainly present an opportunity in it self. Food business become one of the emerging opportunities yet have to address consumer needs. An international student who wants to buy food surely have their own criteria. It is not only about the type and taste of the food but also the other aspect that they need to pay attention the most related to the status of halal food for them who become a Muslim. Halal food are those any kinds of various foods that are  allowed to be eaten and drunk as long as it is suit with the provisions of Islamic law. This study uses Theory of Planned Behaviors to find out the best variables in predicting the purchase intention of halal foods in Taiwan specifically for an Indonesian Muslim students in Taiwan. Online questionnaire using Google Forms was used to predict for amount 342 an Indonesian Muslim students participate as the research sampling. This research used SEM PLS analysis using WarpPLS 7.0 software. For the result, Theory of Planned Behavior  able to be used as a variable to predict the level of purchase intention in halal foods. The Attitude and Subjective Norm has significant result yet the perceived behavioral control has strongly significant results. The last one is about the religiosity that could be used by examine the purchase intention for halal foods as an intervening or mediating variable for this research.
Correction: The Influence of Human Connections and Collaboration on Research Grant Success at Various Career Stages: Regression Analysis (Preprint)
Authors: Hashiguchi Akiko , Asashima Makoto , Takahashi Satoru
Published: April 2024

UNSTRUCTURED

In “The Influence of Human Connections and Collaboration on Research Grant Success at Various Career Stages: Regression Analysis” (J Med Internet Res 2024; 8:e49905) the authors noted one error. In the “Results” section of the Abstract, the following sentence: Tracking the process of research development, we found that collaboration during the periods of 10 to 14 years and 15 to 19 years after completing a doctorate degree determined the size of the project that the participant would obtain—interactions with peer researchers and subordinates during the 10- to 14-year postdegree period had positive effects on ≥2 large-program acquisitions (OR 1.51, 95% CI 1.09-2.09 and OR 1.31, 95% CI 1.10-1.57, respectively), whereas interactions with subordinates during the 15- to 19-year postdegree period also had positive effects (OR 1.25, 95% CI 1.25-1.07). Has been changed to read as follows: Tracking the process of research development, we found that collaboration during the periods of 10 to 14 years and 15 to 19 years after completing a doctorate degree determined the size of the project that the participant would obtain—interactions with peer researchers and subordinates during the 10- to 14-year postdegree period had positive effects on ≥2 large-program acquisitions (OR 1.51, 95% CI 1.09-2.09 and OR 1.31, 95% CI 1.10-1.57, respectively), whereas interactions with subordinates during the 15- to 19-year postdegree period also had positive effects (OR 1.25, 95% CI 1.06-1.47).
Kebijakan Pemerintah Orde Baru dalam Meningkatkan Kompetensi Guru di Indonesia
Authors: Ningrum Siti Utami Dewi
Published: April 2024

This research explores the basis of policies to increase teacher competency in Indonesia during the New Order era. The research uses historical and bibliographical methods to explore official documents, mainly the statutory regulations and interviews with several teachers affected by the New Order government policies. This research found that the New Order government’s policy of increasing teacher competency could not be separated from the social, economic and political conditions at that time. Teachers, an essential element of education, are the object of policies to increase their competence. This research also shows that the New Order Government created legislative products as the basis for various strategic policies implemented for teachers in Indonesia to increase their competence.
Perdagangan dan Eksploitasi Kayu Eboni di Sulawesi Tengah pada Masa Kolonial: Sebuah Tinjauan Awal
Authors: Setiawan Adi
Published: April 2024

Diospyros celebica Bakh, commonly known as ebony or black ebony,is one of the endemic species found on the island of Sulawesi, Indonesia. This exquisite wood has been in high demand globally due to its aesthetic appearance, resulting in its trade for many years since the pre-colonial period. This paper aims to explore the history of ebony in the global trade network and its exploitation in Central Sulawesi in the first half of the 20th century. This paper relied on a variety of sources including newspapers, government documents, botanical magazines, and other literature related to the topic. This paper reveals that the exploitation of ebony during the colonial period was massive, especially during the 1930s. Europe, America, and Japan were the primary export destinations for ebony, with Japan being the largest consumer of this wood. The significant exploitation of ebony raised concerns for the Dutch East Indies as it became increasingly scarce by the end of the 1930s.
Pre-Clinical Evaluation of Left Atrial Appendage Closure Device in Mitigating Risk of Stroke in Patients with Atrial Fibrillation: Promising Results from Animal Trials with Future Prospects
Authors: Minocha Dr. Pramodkumar
Published: April 2024

Abstract: Atrial fibrillation (AF) is the most common clinical disorder of cardiac arrhythmia in geriatrics, characterized by the presence of disorganized and irregular electrical activity in atrial myocardium, which leads to worsening of the heart's systolic function. Left atrial appendage (LAA) is a tubular, tiny aperture construction, connecting the left atrium (LA) with separate structure from LA with distinctive mechanical, hormonal, and structural properties. AF and Mitral valve regurgitation disease elevate the chances of thrombus formation in LAA, these ultimately turns into stroke. Obstructing thrombus by using a Left Atrial Appendage Closure Device (LAAC) and preventing it from entering internal carotid arteries, the risk of LAA thrombosis can be decreased. This article serves as a comprehensive compilation detailing the successful development and implantation of Left Atrial Appendage Closure (LAAC) Device with its novel design and geometry in two pigs (pre-clinical evaluation), showcasing promising results that have future implications for addressing cardiovascular disease in humans.
Big Data Analytics: Future of Database
Authors: Kshirsagar Omkar R.
Published: April 2024

Abstract: Big data analytics is a revolutionary method for processing massive and complicated datasets, analysing them, and drawing important conclusions from them. Big data's introduction has caused a paradigm change in data management and analysis, giving businesses previously unheard-of opportunity to gain insightful information and make informed decisions. This study explores how big data analytics affects how well organization’s function, concentrating on the methods and tools applied across a range of sectors. We undertook an empirical analysis of case studies from businesses in the retail, healthcare, and financial sectors after conducting a thorough assessment of the literature. According to our research, using big data analytics leads to better decision-making, increased operational effectiveness, and a stronger competitive advantage. Data quality, analytics tools, and corporate culture are the main success determinants. However, issues with data privacy and the necessity for qualified data experts make the effective application of big data analytics difficult. This study adds to our understanding of big data analytics' revolutionary potential and offers useful information for practitioners and decision-makers who want to use data to their advantage.
Exploring the Impact of Social Media on Public Opinion Formation: A Comparative Analysis
Authors: . Anju
Published: April 2024

Abstract: This study investigates the influence of social media on the formation of public opinion, employing a comparative analysis with traditional media platforms. In the digital age, social media has become a ubiquitous source of information and communication significantly impacting the way individuals perceive and engage with societal issues. This research seeks to examine the mechanisms through which social media shapes public opinion, including factors such as algorithmic curation, user-generated content, and network effects. By juxtaposing its influence with that of traditional media, this study aims to provide insights into the evolving dynamics of public opinion formation in contemporary society.
A Review on Investigation of Petrol and Ethanol Blend as fuel on Performance of Spark Ignition Engine
Authors: Nimbalkar Prasad , Baisane Rahul , Mutekar Onkar , Chavan Darshan , Mutalikdesai Sachin
Published: April 2024

Abstract: Finding substitute fuels has been more popular in recent years as a response to escalating pollution levels and fuel shortages. The goal of this research is to find the ideal gasoline to ethanol ratio that will maximize engine performance and reduce emissions in spark ignition engines. In order to analyse the performance of different blending ratios, the research looks at metrics such carbon monoxide (CO) emissions, brake power (BP), brake specific fuel consumption (BSFC), and brake thermal efficiency (BTE). Blends of gasoline and ethanol with a 15% ethanol content greatly increase engine thermal efficiency at higher engine speeds. E12 mixes of gasoline and ethanol boost engine braking power while lowering CO emissions and breakspecific fuel usage. Blends of gasoline with ten to fifteen percent ethanol present a possible substitute.
Fake News Detection
Authors: Agarwala Avishek , Fahim Yousuf Mahmud , Jain Mr. Nitin
Published: April 2024

Abstract: Fake News is a Global problem and is constantly increasing. There are too many people that goes through a fake news and constantly making a new and fake perspective over a subject. To develop a sustainable AI solution is the market demand for many news websites and social platform. The most the work in this era are developed on Backdated Neural Network Classifiers. To engage with latest Model over a highly rated dataset like ISOT Dataset can be a sustainable solution for Fake News Detection. BERT (Bidirectional Encoder Representations from Transformers) can dynamically calculate every input and output element and their weightage. Combining this technology with the existing ones will help to build a sustainable product with a very novel cause to eradicate and control fake news over internet. It will help to detect, eliminate and try to prevent as much as possible threats causing by Fake News
SecureNet: Network Intrusion Detection using Machine Learning and Deep Learning Techniques
Authors: Takale Vinayak , Patil Aakanksha , Lonikar Atharva , Shinde Akshay , Rupnar Prof. Vandana
Published: April 2024

Abstract: In the ever-evolving landscape of cybersecurity, the need for robust intrusion detection systems has become paramount. This paper introduces a cutting-edge intrusion detection algorithm designed to enhance network security through the integration of advanced machine learning and deep learning methodologies. The proposed algorithm capitalizes on the strengths of both paradigms to achieve a comprehensive and adaptive approach to identifying malicious activities within a network. This research focuses on enhancing network security through the development and evaluation of a novel intrusion detection system leveraging both deep learning and traditional machine learning approaches. Utilizing the NSL-KDD dataset, we employ the Long Short-Term Memory (LSTM) model, a superior version of Recurrent Neural Networks (RNNs), and the K-Nearest Neighbors (KNN) algorithm for binary and multi-class classification of network intrusion anomalies. The LSTM model excels in capturing temporal dependencies, enabling the detection of nuanced sequential patterns, while the KNN algorithm contributes to a comprehensive classification framework. Experimental results demonstrate the effectiveness of the hybrid methodology, showcasing improved accuracy, precision, and recall compared to traditional methods. This research underscores the potential of integrating deep learning and classical machine learning techniques to bolster the capabilities of intrusion detection systems in safeguarding against evolving cyber threats