bluuebunny/crossref_metadata_2025 huggingface dataset:
Modelling and Energy Optimization of a Thermal Power Plant Using a Multi-Layer Perception Regression Method
Authors: Xezonakis Vasilios , Ntantis Efstratios L.
Published: September 2023

This research paper studies a thermal power plant model with an Artificial Neural Network that contributes to the accuracy improvement of actual measurement data. Neural Networks process the paradigm of algebraic expressions, and their training occurs via a Feed-Forward Back Propagation algorithm implemented in a MATLAB environment. The applied training case in a thermal power plant in Paracha includes three different algorithms, the Levenberg-Marquadt, the Scaled Conjugate Gradient, and the Bayesian Regularization, considering less number of samples to achieve more reliable results. The outcome highlights Bayesian Regularization Networks’ superiority in accuracy and performance compared to Levenberg-Marquadt and the Scaled Conjugate Gradient. The regression analysis estimates the relationship between input-independent and output-dependent variables, forecasts the energetic data, and highlights the benefits of the Bayesian Regularization method in the energy sector.
Organic thermally activated delayed fluorescence material with strained benzoguanidine donor
Authors: Brannan Alexander C , Beaumont Elvie F P , Phuoc Nguyen Le , Whitehead George F S , Linnolahti Mikko , Romanov Alexander S
Published: September 2023

Organic thermally activated delayed fluorescence (TADF) materials have been widely investigated due to their impressive electronic properties and applied potential for the third generation of organic light-emitting diodes (OLED). We present organic TADF material (4BGIPN) based on the strained benzoguanidine donor and compare it with the benchmark carbazole-based material (4CzIPN). Extended π-conjugation in 4BGIPN material results in yellow-green luminescence at 512 nm with a fast radiative rate of 5.5 × 10−5 s−1 and a photoluminescence quantum yield of 46% in methylcyclohexane solution. Such a nitrogen-rich 4BGIPN material has a significantly stabilized highest occupied molecular orbital (HOMO) at −6.4 eV while the lowest unoccupied molecular orbital (LUMO) at −4.0 eV, indicating potential suitability for application as the electron transport layer or TADF class III emitter in OLEDs.
Educación e Inclusión Financiera para el Crecimiento, Desarrollo Personal y Empresarial de la Mujer Rural en el Municipio de la Plata Huila
Authors: Durán Espinosa Martha Cecilia
Published: September 2023

Este documento resume el proyecto de investigación "Educación Financiera para el Crecimiento, Desarrollo Personal y Empresarial de la Mujer Rural en el Municipio de La Plata Huila", llevado a cabo por el semillero LIBERPAZU del grupo de investigación CANANGUCHALES. El estudio se enfoca en recopilar, analizar información sociodemográfica y financiera de las mujeres rurales del municipio mediante un cuestionario con preguntas cerradas. El objetivo del proyecto es diseñar un programa de educación financiera para las mujeres rurales agremiadas en La Plata Huila, con el propósito de mejorar su calidad de vida. El programa proporcionará capacitaciones en conceptos básicos de productos financieros, métodos de adquisición y gestión de finanzas. Históricamente, las mujeres rurales han sido marginadas y relegadas a roles tradicionales, limitando su desarrollo y progreso. En La Plata Huila, esta situación persiste, evidenciándose en su limitado acceso a recursos y educación financiera. Este artículo destaca la importancia de la educación financiera para las mujeres rurales de La Plata Huila y cómo puede mejorar su situación socioeconómica. La investigación se realiza mediante un enfoque cuantitativo y descriptivo, utilizando un cuestionario con preguntas cerradas para recopilar información sobre variables sociodemográficas, ahorro, inversión y endeudamiento.
Creación y Validación de un instrumento de Coevaluación como estrategia Evaluativa dentro del Proceso de Enseñanza – Aprendizaje
Authors: Chocobar Reyes Emilio José
Published: September 2023

El objetivo fue validar cómo la implementación del instrumento de coevaluación, como estrategia evaluativa, mejoró el proceso de enseñanza – aprendizaje en los estudiantes. Se empleó una metodología aplicada, de diseño experimental y enfoque cuantitativo, de corte longitudinal durante once meses, desde octubre del 2022 hasta agosto del 2023. Los resultados demostraron que el 85,40% de los estudiantes distribuyeron mejor sus tareas entre los integrantes del grupo, que aumentó la participación y asistencia a las reuniones, lo que significó desarrollar y presentar tareas y exámenes de mejor calidad; el 80,50% señalaron que, a pesar de ser la primera vez que lo aplicaban, superaron los temores iniciales logrando reducir la falta de participación y asistencia a las reuniones, el incumplimiento en la presentación de tareas y exámenes; el 82,90% consideraron que los integrantes del grupo profundizaron más en la búsqueda de temas para realizar las tareas y exámenes logrando así aprender más, aumentado la responsabilidad en cada uno de ellos, mejorando la toma de decisiones y el control de los avances a diferencia de los cursos en los cuales no se aplica el instrumento. La investigación demostró que el instrumento de coevaluación creado es válido y mejoró el proceso de enseñanza – aprendizaje.
Análisis de las Interacciones de la Capsaicina con el ADN y el ARN mediante Química Computacional
Authors: Olguín Rojas José Arturo , González Pérez Manuel , Aguirre Lara Paulina , Vázquez González Cecilia , Aguilar Veloz Laura M. , Camarillo Rojas Carlos Roberto
Published: September 2023

Fruits of the Capsicum family or chilies, native to Mexico and Central America, exhibit highly diverse biological effects, including antioxidant, anti-inflammatory, and anticarcinogenic properties. This research used computational chemistry to determine the interactions between Capsaicin (CAP) and nitrogenous bases (NB). Parameterized semi-empirical model number 3 (SE-PM3) drew the corresponding molecules in the Hyperchem simulator. The geometry was optimized with the Polak Ribiere method, and the variables of HOMO-LUMO, Band gap (BG), Electronic potential (EP), and other properties were calculated. We found a small HOMO-LUMO energy gap of CAP molecules. This overlap leads us to conclude that CAP can form spheres and micelles. As a general conclusion, we found that CAP is not a mutagenic agent. Among 49 interactions, CAP showed its first interaction with uracil (CAP: U2), and therefore, it evidenced 19 more related interactions with freely formed NB.
Síndrome del Hueso Hambriento Relacionado con Hipotiroidismo en Paciente Femenina con Tiroidectomía Total. reporte de Caso
Authors: Alejandro Torres Pablo Xavier , Merino Delgado Santiago Israel , Paucar Fajardo Magali Clemencia , Pintado Paltin Christian Andrés , Alvarez Saltos Miguel David
Published: September 2023

El síndrome de hueso hambriento se caracteriza por un aumento de la captación ósea de calcio, fósforo y magnesio luego del descenso brusco de la hormona paratiroidea post paratiroidectomía. Los factores predictores del síndrome tienen relación con la magnitud del hiperparatiroidismo y la gravedad del compromiso óseo. El descenso de la calcemia es rápido y puede asociarse a manifestaciones clínicas como tetania y convulsiones. La hipofosfatemia de magnitud y la hipomagnesemia son infrecuentes en pacientes con HPT secundario. Se sugiere comenzar la infusión de gluconato de calcio preferentemente por vía central con bomba de infusión continua al finalizar la cirugía. El tratamiento con calcio y calcitriol vía oral se inicia cuando se autoriza la ingesta.  Se Reporta un caso de una paciente femenina de 46 años que se realiza Tiroidectomía Total hace 56 horas, durante el postoperatorio se evidencia parestesias y espasmos musculares.
Conocimiento y Medidas Preventivas Respecto al Dengue en los Programas de Vaso de Leche, Distrito de Chepén, 2023
Authors: Tapia Sánchez Carlos Danter , Ipanaqué Centeno Enrique , Solano Coello Martha Emelda , Izquierdo Henríquez Maria Isabel , Calderón Yarlequé Luis Alberto
Published: September 2023

Introducción: El presente artículo aborda la temática sobre el nivel de conocimiento y prevención del dengue en las madres de vaso de leche ubicado en la provincia de Chepén, enfermedad que apareció como consecuencia tras el paso del ciclón Yaku por la costa norte del Perú. Objetivo: Determinar la relación entre el nivel de conocimiento y medidas preventivas respecto al dengue, a su vez evaluar el nivel de conocimiento sobre el dengue y las medidas preventivas. Metodología: Estudio de enfoque cuantitativo, descriptivo correlacional de corte transeccional; para ello se aplicaron encuestas a madres integrantes del programa vaso de leche en la provincia de Chepén, se usó un muestreo aleatorio simple obteniendo una muestra óptima de 110 personas. la técnica de recolección de datos fue la encuesta y su instrumento el cuestionario a una escala de likert los cuales fueron confiables según la estadística Alfa de Cronbach de 83% Resultados: El nivel de conocimiento sobre la enfermedad y medidas preventivas de la misma. Tienen un “alto” nivel de conocimiento acerca del dengue, lo que representa el 9.09%, así mismo en 52 de ellos cuentan con un nivel de conocimiento “bajo” quienes representan el 47.27%, por último 48 de ellos tienen un nivel conocimiento “medio o regular” representando el 43.64%. Así mismo, para medidas preventivas se tiene nivel “alto” de prevención del dengue, con 1.82%, con un nivel de medidas de prevención “medio” con un 38.18%, por último, un nivel “bajo” a un 60%. Conclusión: la investigación sostiene la evidencia significativa sobre la relación moderada y directa existente entre el nivel de conocimiento y las medidas preventivas sobre el dengue
COVID-19 pandemic complexities on endemic infectious disease management and diagnosis in poor countries
Authors:   Department of Microbiology, Landmark University, Omu-Aran Kwara State, Nigeria, Irokanulo Emenike Onyebum , Ayeni Eugene ,   Department of Medical Microbiology and Parasitology, College of Medicine, University of Ibadan, Nigeria, Nwonuma Charles ,   Department of Biochemistry, Landmark University, Omu-Aran Kwara State, Nigeria, Orotayo Dolapo ,   Department of Microbiology, Landmark University, Omu-Aran Kwara State, Nigeria, Agbaso Benita ,   Department of Microbiology, Landmark University, Omu-Aran Kwara State, Nigeria
Published: September 2023

The persistence and frequency of prevalent infectious diseases continue to be a major problem on the African continent. Malaria, TB, and HIV/AIDS are the most common infectious diseases in Sub-Saharan Africa. Malaria and tuberculosis have had a considerable negative impact on poor nations’ health, resulting in high mortality and morbidity. Fortunately, the World Health Organization’s introduction of the RTS, S/AS01 malaria vaccine may soon put an end to the lingering difficulties in malaria eradication, barring new contagious disease outbreaks like COVID-19. The literature reviewed looked at the current condition of endemic infectious illnesses in low-income countries from 2018 to 2022. Improvements in disease management and other mitigating strategies were evaluated alongside the resurgence of malaria, and particularly tuberculosis, the deadliest infectious disease of considerable global health concern in recent decades. The study’s focus was the destructive effects of COVID-19 on the treatment and prevention of infectious illnesses. PubMed, Web of Science, and Google Scholar were used as relevant databases. The COVID-19 pandemic had a significant global impact on Africa, but not because the continent was directly impacted by the scourge and its fatal effects; rather, it did so by successfully forcing resource reallocation and diverting medical personnel to COVID-19 treatment, which in turn made TB, malaria, and HIV/AIDS-related problems worse. To halt the endemicity of these diseases and their potential intensification if a new pandemic like COVID-19 emerges in the future, enhanced efforts from all stakeholders, particularly in poorer climes, are required to be more inward looking and less reliant on foreign support.
ANALYSIS OF MALONDIALDEHYDE LEVELS IN CHILDREN WITH BETA THALASSEMIA: A CROSS-SECTIONAL STUDY
Authors: Alaydrus Syarifah Raehana Mardiah , Ridha Nadirah Rasyid , Alasiry Ema , L Amiruddin , Angriani Hadia , Satriono Kwari Januar
Published: September 2023

AbstractBeta thalassemia is an autosomal recessive genetic condition affecting people worldwide, including in Indonesia. Malondialdehyde levels, a peroxidation product, can be used to see if there is an iron buildup in the body due to lifelong transfusions. This research is a novelty because it analyzes malondialdehyde levels in children with beta-thalassemia: a cross-section study. The study aims to analyze malondialdehyde levels in children with beta-thalassemia. Methods in this study, a cross-sectional investigation was carried out at Dr. Hospital Wahidin Sudirohusodo, Makassar. The study was carried out between April and August of 2022. The study sample consisted of participants diagnosed with beta-thalassemia and non-thalassemia (controls) eligible to participate. Patients with and without beta-thalassemia had their malondialdehyde levels measured. The study results showed that the 60 children, aged six months until 18 years, were separated into two groups, 30 of whom had beta-thalassemia and another 30 who did not. With a significant P-value of 0.000, it was determined that beta-thalassemia children had more substantial amounts of malondialdehyde than children without the condition. Children with beta-thalassemia major had significantly higher malondialdehyde levels than those with beta-thalassemia HbE (P-value = 0.000). The conclusion was that malondialdehyde levels were more significant in beta-thalassemia kids than non-thalassemia kids. Malondialdehyde values are more effective in kids with beta-thalassemia major than those with beta-HbE thalassemia.Keywords: Malondialdehyde; Beta thalassemia; Transfusion; Children.
An Avant-Garde African Vulture Optimization (A2VO) based Deep RNN-LSTM Model for 5G-IoT Security
Authors: Gopalakrishnan Ramasubramanian  , Singaravelu Rajaprakash
Published: September 2023

In current days, 5G is more essential for the Internet of Things (IoT) systems, since it offers a quicker network with more capacity to address communication needs. The frequency range that mobile communication technologies employ to transfer data is expanded by the 5G spectrum. However, it also broadens the presence of attacks within the core network, increasing the corporate system's susceptibility to security intrusions. Hence, various Intrusion Detection System (IDS) frameworks are developed in the conventional works for 5G-IoT network security. However, the significant challenges of the existing studies are complexity burden, high processing time, and ineffective intrusion detection. Therefore, the proposed work intends to implement a novel Avant-Garde African Vulture Optimization (A2VO), and Recurrent Neural Network (RNN) – Long Short-Term Memory (LSTM) mechanism of 5G-IoT security. The min-max normalization technique is used to preprocess the attributes and fields in the dataset. In addition, a precise and effective deep Recurrent Neural Network (RNN) - Long Short Term Memory (LSTM) based classification algorithm is used to categorize normal and attacking data with high accuracy and low complication. The most significant features from the normalized dataset are chosen for classification using the Avant-Garde African Vulture Optimization (A2VO) method. For demonstrating the superiority of the suggested security model, the performance results are verified and compared using several benchmarking datasets.
Utilize Fuzzy Delphi Method to Design and Develop T2IG Application for Primary Schools
Authors: Maran Chanthiran  , Abu Bakar Ibrahim  , Mohd Hishamuddin Abdul Rahman  , Punithavili Mariappan  , Jayakumar Supramaniam  , Dagmar Ruskova
Published: September 2023

Education has encountered multiple transformations in tandem with the globalisation of society. Technology is an essential tool for conducting teaching and learning activities. COVID-19 pre- and post-education also emphasize the importance of technology in accessing education. This study aims to develop a Text to Infographic (T2IG) application. T2IG is an application that developed on two platforms, namely in the form of a website and a smartphone application. Users (students) upload text, and the Google Cloud Platform Artificial Intelligence components will translate it into a graphical form containing information. In addition, Google Cloud Platform Artificial Intelligence will quote actual contents from the entire text uploaded by the user. In this study, the process of gathering experts' consensus to identify the application's elements and components that should be used as the application's primary function. The Fuzzy Delphi Method was used to identify the consensus of the experts through a questionnaire. Using the Fuzzy Delphi technique is to get concessions from experts on the development of instructional materials. This method involves the use of fuzzy set theory which has been integrated with the classic Delphi method. The use of this technique helps in determining the requirements of the elements that are important in the development of instructional materials in detail. A total of 12 experts were identified using the expert sampling method. These 12 experts are among lecturers and officials from the fields of education, technology and language who are currently working at the University, Teaching Institutions and the Department of Education. The study identified seven key components and 25 sub-constructs that should be used in the development of the T2IG application. The findings highlight the importance of using technology to enhance teaching and learning activities and the significance of experts' opinions in the development of instructional materials. Twelve study experts accepted a total of six components. The findings of this study have implications for the development of instructional applications that will be developed. This study's findings also emphasise the appropriate components for developing T2IG applications as proposed.
Hybrid AES-Modified ECC Algorithm for Improved Data Security over Cloud Storage
Authors: Selvaraj Jagadeesh  , Sabna Machinchery Ali  , Soundara Pandian Gnana Selvan  , Mohammad Aljanabi  , Manimaran Gopianand  , John peter Jasmine Hephzipah
Published: September 2023

As cloud computing has been increasingly used by businesses to address their data storage and processing needs. The private data can be stored and retrieved by the end user through remote storage using an affordable Internet connection in the cloud computing environment. The user may access the information whenever they want, from wherever. However, the data transmitted through the cloud is not always secure and data integrity and authentication may be compromised as the end user is only able to access the data through a third party. Cloud computing also enables numerous people to access information simultaneously over separate Internet connections, which might increase the risk of information loss or leakage. Several cryptographic methods like DES, 3DES, Blowfish, RSA, Diffie-Hellman have been developed to guarantee the safety and privacy of stored data. Since the business clients hesitate to adopt the cloud due to its less security. This paper suggests a method for exchanging cloud data that is both secure and efficient. The proposed method is mainly focused on higher security for the cloud computing platform by applying hybrid Modified Elliptic Curve Cryptography (MECC) method with the Advanced Encryption Standard (AES). In comparison to other methods, the hybrid ECC-AES strategy takes less time to encrypt and decode data owing to its reduced key size.
Numerical and Experimental Studies of the Nanofluid Characteristics that Effects on Heat Transfer Enhancement: Review and Comparison
Authors: Hashim Alsammarraie  , Mohd Khairol Anuar Mohd Ariffin  , Eris Elianddy Supeni  , Siti Ujila Masuri
Published: September 2023

This review describes and compare the recent studies for numerical and experimental researches in the improvement of Nanofluid on flow, thermal conductivity, and heat transfer for various heat exchanger applications. The Nanofluid consists of two parts which are nanoparticles and base fluid. This study investigated nanoparticles' and base fluid's effects separately—the main preparation techniques and latest heat exchanger applications that used nanofluid technology, which has been touched upon. Nanofluid technology is one of the hot topics and high Impact that researchers have worked on in the latest decades. Therefore, this review paper investigated and collected the data from the latest results in this area based on nanofluid characteristics and effects of particle material, volume concentration, particle size, particle shape, fluid temperature, acidity, magnetic field, and electrical pulsing individually. Many recent studies were recast using a common parameter to settle comparisons of data between the research group in the same study and conditions to identify its thermal enhancement. The latest trends of nanofluid technology have been stated in this research alongside the recommendations for future studies that present the leaks in each area of study. Heat transfer enhancement has been increased in different nanofluids, metallic, non-metallic, organic, inorganic and hybrid, by up to 300%.
The Effect of External Walls on Energy Performance of Algerian Rural Building in Different Climatic Zones
Authors: Houryia Benharchache  , Fouad Khaldi  , Mourad Hanfer
Published: September 2023

The building sector is one of the largest consumers of resources (energy and materials). This matter is responsible for approximately 42% of the Algerian primary energy, and this number is expected to rise with population growth, especially urban expansion in rural areas. Designing a rural building that is energy efficient and compatible with the climatic conditions of the construction site is among the most promising sustainable methods to reduce energy consumption in buildings. The scope of this study is to evaluate rural building orientation, glazing system and the possibility of using two different types of rural constructions. First, ordinary walls (W1) are the most spread and commonly used and the second HEP (W1, W2) depends on Thermal insulation; one of which is represented by Polysterene and the second is the bio-composite date palm fiber available locally. This study was conducted in three main dominant climates in Algeria. To this end, various numerical investigations in EnergyPlussofware were performed. The results showed the effect of different climatic zones on the orientation of the building. The best orientation of the rural building in Algiers, Batna and Tamanrasset is respectively south, north and east, with the small windows of 20% window-to-wall ratio in Algiers and Tamanrasset compatibility energy saving 27.3 % and 18.3 %. The results prove the effectiveness of the wall W3, which contains bio-composite DPF, in the three climates, in Algiers, Batna, and Tamanrasset, reducing the annual total thermal energy by about 45%, 20%, and 5%, respectively. On the other hand, in Batna, the window-to-wall ratio is the best for windows of medium size, 30% to 40%.
Investigating the Effects of Wu's Slip and Smoluchowski's Slip on Hybrid TiO2/Ag Nanofluid Performance
Authors: Lim Yeou Jiann  , Sharena Mohamad Isa  , Noraihan Afiqah Rawi  , Ahmad Qushairi Bin Mohamad  , Sharidan Shafie
Published: September 2023

The high thermal conductivity of Titanium dioxide (TiO2) makes it ideal for heat transfer, particularly in a solar collector. However, nanofluids containing dissolved TiO2 nanoparticles tend to agglomerate. Thus, nanoparticle silver (Ag) is used to stabilize the nanofluid. This study looks at a hybrid nanoparticle of TiO2 and Ag, which are put into water to make a hybrid nanofluid, over a stretching plate. The effects of Wu’s velocity slip and Smoluchowski’s temperature slip are taken into consideration. Xue's thermal conductivity model for the hybrid nanofluid is employed. The governing equations are transformed by applying the similarity transformation technique and solved semi-analytically using the Homotopy Analysis Method. The effect of the multiple slips on the fluid profiles is graphically displayed and discussed. Results illustrate that the temperature profile is diminished by 42% due to Smoluchowski's temperature slip parameter, while the velocity profile is reduced by more than 40% due to the first and second-order Wu's slip parameters. These findings are important for optimizing the performance of the hybrid nanofluids. For example, in the solar collector, where a better understanding of heat transfer fluid characteristics can improve the stability of the hybrid nanofluid and the efficiency of eco-friendly energy storage.
Effect of Sea Current to Composites Cold Water Pipeline of Ocean Thermal Energy Conversion in Indonesia
Authors: Muhammad Dalil  , Basuki Wirjosentono  , Jaswar Koto  , Dodi Sofyan Arief  , Abdul Khair junidi
Published: September 2023

Ocean thermal energy conversion (OTEC) is a new source of future energy that is clean and environmentally friendly with zero emissions. It is very potential to be developed in Indonesia, which is located at the equator. to meet the electricity needs of the outermost and remote islands that are not currently covered by the main power plants in Indonesia. Indonesia has deep seas around the islands with temperatures of 5°C and surface temperatures above 25-28°C, so a temperature difference of 20°C can be obtained easily for OTEC power plants. Cold water supplied to the OTEC plant with a capacity of 2 MW at sea level requires a pipe with a diameter of 4 m and a length of 500 m. The pipeline must be insulating, not floating, corrosion-resistant, and resistant to current loads. Current is a very serious concern with the potential to cause pipe failure. The pipe material being investigated is a short fiberglass High-density polyethylene composite. In this study, a simulation of the effect of current on the composite pipe was carried out to obtain an overview of the stress that occurs and the proper pipe dimensions used. The highest current speed in Indonesian water is found in the Makassar Strait from July to September at 0.8 m/s at a depth of 100 m. Based on the OTEC Pro Simulation software for a capacity of 2 MW, resulted in the pipe size is 4 m and the pipe length is 500 m which refers to the temperature profile. In the simulation, the calculation of the dynamically moving current becomes the drag force on the pipe, and with the Autodesk inventor, it is known that the deflection in the pipe, and the yield stress cause failure in the pipe. Subsequently, from the deflection and yield stress data, a pipe thickness of 20-30 cm is obtained for the short fiberglass-HDPE composite material which is safe to use as an OTEC cold water pipe with a capacity of 2 MW. Pipes with a thickness smaller than 15 cm are too thin for a diameter of 4 m because the pipe wall has already experienced a deflection in a horizontal position and pipes with a thickness of > 30 cm are known from the simulation that the pipes cannot be connected rigidly and the pipes also experience stress due to current and pipe weight. so that the stress becomes greater in the pipe.
REALISATION OF MPC ALGORITHM FOR QUANSER QUBE-SERVO
Authors: Assanova Nurgul , Khaimuldin Askar , Khaimuldin Nursultan , Alshynov Shyngys , Mukatayev Tleuzhan
Published: September 2023

This paper offers an in-depth look into the design and implementation of a Model Predictive Control (MPC) algorithm for the QUANSER QUBE-SERVO system. The QUBE-SERVO is a sophisticated laboratory experimental setup consisting of a servo motor, an encoder, and a rotary module. This combination provides a robust platform for investigating and testing various control strategies. In particular, the central focus of this study is the usage of the MPC algorithm for controlling the position of the QUBE-SERVO’s rotary disc load module.
The MPC algorithm plays a pivotal role in this application by predicting the future behaviors of the system, and controlling the system by minimizing an objective function over a defined finite horizon. This makes it a versatile and effective tool for controlling complex systems.
One of the key challenges in practical control applications is maintaining system stability in the presence of disturbances and uncertainties. To this end, we propose a MPC algorithm designed specifically to stabilize the QUBE-SERVO under such conditions. The functionality of this algorithm is not limited to the QUBE-SERVO system alone, and can be extended to other control systems exhibiting similar characteristics.
The effectiveness of the proposed MPC algorithm is rigorously tested through simulation studies. These studies involve subjecting the QUBE-SERVO to various reference signals and disturbances. The results of the simulations provide strong evidence of the algorithm’s capability to effectively track reference signals, while also rejecting disturbances and uncertainties, thereby corroborating its efficacy for the QUBE-SERVO application.
Moreover, the original MPC algorithm was enhanced to improve its performance for trajectory tracking tasks. We also discuss the integration of the MPC algorithm within the MatLAB and LabVIEW programming environments, which served as the base platforms for designing and running the simulations in this project.

This paper, therefore, presents a comprehensive and practical approach for the successful implementation of the MPC algorithm in the QUANSER QUBE-SERVO system, and demonstrates its potential for wider application in similar control systems.
FORECASTING ELECTRICITY DEMAND WITH FORECASTERAUTOREG: CASE STUDY IN ASTANA
Authors: Sagadatova Nadezhda , Nugumanova Aliya , Zhakiyev Nurkhat , Talas Balnur
Published: September 2023

This paper presents the application of time series forecasting models, namely Forecaster Autoreg and Neural Network, for predicting electricity consumption in the city of Astana. Given the pressing need to address energy efficiency and reduce environmental impact in light of global climate change, employing scientifically sound and effective solutions is crucial. Machine learning methods offer a promising approach to tackle this challenge by predicting electricity demand. In this study, a comprehensive analysis of a time series dataset was conducted, encompassing data on electricity consumption (measured in MW) in Astana from January 1, 2020, to December 31, 2020, at an hourly interval. The dataset was utilized to accurately forecast electricity demand for each hour of the following day. To enhance the precision of predictions, additional factors such as air temperature and wind speed were incorporated. These factors were deemed significant due to Astana’s distinct sharply continental climate and high windiness, making their inclusion essential for accounting for their influence on electricity demand and achieving more accurate forecasts. The neural network model was selected as the chosen methodology, as it has the capability to reveal intricate dependencies and patterns in the data, thereby facilitating more precise predictions of electricity consumption. To evaluate the accuracy and reliability of the forecasts, error indicators such as Average Absolute Error (MAE) and Average Absolute Percentage Error (MAPE) were employed. The results demonstrated that the proposed models could provide accurate forecasts with low errors.
Gedanken zum Ortsjubiläum
Authors: Auge Oliver
Published: September 2023

Im Bordesholmer Fall gibt es kein Gründungsdokument als Anlass für eine punktgenaue Ortsgeburtstagfeier, sondern allenfalls Anhaltspunkte einer ungefähren chronologischen Einordnung der Ortsentstehung.
Eine Jubiläumsfeier war und bleibt damit in Bordesholm stets mit einer gewissen Willkür verbunden, zumal die Spuren menschlichen Lebens im Gemeindegebiet ohnedies viel weiter in die Menschheitsgeschichte
zurückweisen. Indes spricht einiges dafür, sich in Bordesholm auf die ge- oder verfälschte urkundliche Ersterwähnung Eiderstedes 1149 zu beziehen, wenn man ein Ortsjubiläum feiern möchte. 2024 lässt sich so
auf eine mindestens 875-jährigen Ortsgeschichte zurückblicken.
Zwischen Kontinuität und Umbruch
Authors: Potzuweit Laura
Published: September 2023

Mit der Auflösung der Klostergemeinschaft und der Begründung des herzoglich-gottorfischen Amtes begann die Frühe Neuzeit in Bordesholm. Während im Verlauf von 300 Jahren u. a. die neubegründete Fürstenschule als
eine Art Vorgängerinstitution der späteren Christian-Albrechts-Universität zu Kiel hervorstach, formten zudem militärische Konflikte, die Zugehörigkeit zum dänischen Gesamtstaat, der infrastrukturelle Fortschritt
sowie die Schleswig-Holsteinische Erhebung die Strukturen und den Alltag für die Menschen vor Ort.
TOWARD THE END OF THE CORPORATE SOCIAL PERFORMANCE – CORPORATE FINANCIAL PERFORMANCE DEBATE
Authors: Soriano Luis , Fong Carlos
Published: September 2023

The purpose of this document is to present the way forward to finalize the debate related to the link between Corporate Social Performance – Corporate Financial Performance. The discussion and proposal of 7 elements were developed that allow proposing a new methodological path for the development of empirical investigations that seek to explain the link between the Corporate Social Performance – Corporate Financial Performance. After the theoretical review, it was found that the most relevant changes were associated with the level of maturity of the Corporate Social Performance, micro-foundations approach, mediating variables, structural equation models, primary sources, and delimitation of the short, medium, and long term on the analysis.
Three-dimensional Turbulent Reconnection within the Solar Flare Current Sheet
Authors: Wang Yulei , Cheng Xin , Ding Mingde , Liu Zhaoyuan , Liu Jian , Zhu Xiaojue
Published: September 2023

Solar flares can release coronal magnetic energy explosively and may impact the safety of near-Earth space environments. Their structures and properties on the macroscale have been interpreted successfully by the generally accepted 2D standard model, invoking magnetic reconnection theory as the key energy conversion mechanism. Nevertheless, some momentous dynamical features as discovered by recent high-resolution observations remain elusive. Here, we report a self-consistent high-resolution 3D magnetohydrodynamical simulation of turbulent magnetic reconnection within a flare current sheet. It is found that fragmented current patches of different scales are spontaneously generated with a well-developed turbulence spectrum at the current sheet, as well as at the flare loop-top region. The close coupling of tearing mode and Kelvin–Helmholtz instabilities plays a critical role in developing turbulent reconnection and in forming dynamical structures with synthetic observables in good agreement with realistic observations. The sophisticated modeling makes a paradigm shift from the traditional to a 3D turbulent reconnection model unifying flare dynamical structures of different scales.
Morphological characterization of blood cells in Amazon River dolphin Inia geoffrensis: a case study
Authors: Suarez-Yana Tania , Colchao-Claux Paulo , Mangel Jeffrey C. , Campbell Elizabeth , Alfaro-Shigueto Joanna
Published: September 2023

Inia geoffrensis is an endangered species of the Amazon River basin, but there has been limited research regarding its health, particularly in describing normal cell morphology by traditional techniques. This study aimed to identify the peripheral blood cells of I. geoffrensis through microscopic evaluation. Blood smears were collected from wild adults and stained with Wright's stain. We differentiated leukocyte cells (neutrophils, eosinophils, lymphocytes, and monocytes) and platelets. Additionally, we observed signs of inflammatory reactions in cell morphology by incrementing cell size and active cytoplasm in neutrophils, eosinophils, lymphocytes, and platelets. These findings provide important considerations for hemogram interpretation in future research and individual clinical cases in Amazon River dolphins. Also, our study delivers baseline information for future characterization and understanding of hemogram and leukogram changes in response to disease and health assessment for dolphin species.
Mitigating multiple stressors on managed pollinators: Effectiveness and feasibility of implementing response options
Authors: Willcox Bryony , Senapathi Deepa , Brown Mark , Potts Simon
Published: September 2023

In the real world, pollinators face multiple interacting pressures, and so response options must be tailored to this. To date, most attention has been on characterising the risks to managed pollinators from single stressors, though recently more attention has been paid to risks from multiple stressors (e.g., pesticides, pathogens and poor nutrition). The PoshBee project has developed a policy brief providing recommendations on options that mitigate against multiple stressors.
Two new species of Colletotrichum (Glomerellaceae, Glomerellales) causing walnut anthracnose in Beijing
Authors: Zhang Lin , Yin Yue-Qi , Zhao Li-Li , Xie Yu-Qing , Han Jing , Zhang Ying
Published: September 2023

Colletotrichumspecies are plant pathogens, saprobes and endophytes on various plant hosts. It is regarded as one of the 10 most important genera of plant pathogens in the world. Walnut anthracnose is one of the most severe diseases affecting walnut productivity and quality in China. In this study, 162 isolates were obtained from 30 fruits and 65 leaf samples of walnut collected in Beijing, China. Based on morphological characteristics and DNA sequence analyses of the concatenated loci, namely internal transcribed spacer (ITS), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), actin (ACT), chitin synthase 1 (CHS-1) and beta-tubulin (TUB2), these isolates were identified as two novel species ofColletotrichum, i.e.C. juglandicolaandC. peakense. Koch’s postulates indicated that bothC. juglandicolaandC. peakensecould cause anthracnose in walnut.
In vitro antioxidant and in vivo hypoglycemic activity of biophenols and polyunsaturated fatty acids from Vitis vinifera L. muscat and quebranta seeds from the Valley of Ica-Peru
Authors: Alvarado Angel T. , Muñoz Ana María , Tasayco-Yataco Nesquen , Gamarra-Castillo Fabricio , Ybañez-Julca Roberto O. , Bendezú María R. , Chávez Haydee , García Jorge A. , Surco-Laos Felipe , Melgar-Merino Elizabeth J. , Cuba-Garcia Pompeyo A. , Castillo-Romero Patricia , Vega-Ramos Nelly , Loja-Herrera Berta , Pineda-Pérez Mario , Bolarte-Arteaga Mario
Published: September 2023

Currently, there is a greater interest in using natural products in various chronic diseases such as type 2 diabetes. However, these investigations have not considered the components of grape seeds. In this context, the current study explored the in vitro antioxidant and in vivo hypoglycemic activity of biophenols and total polyunsaturated fatty acids (PUFA) from Vitis vinifera L. muscat and quebranta seeds from the Ica Valley, Peru. The total polyphenol content (TPC) of muscat (1.57±0.015 mg GAE/g) and quebranta (1.43±0.015 mg GAE/g) seeds was estimated by the Folin-Ciocalteu method. In vitro antioxidant activity was determined by DPPH• free radical assay for muscat and quebranta (IC50: 38.60±0.624 µg/mL and 42.83±0.306 µg/mL, respectively) and by FRAP 0.79±0.030 μg TEAC/g for muscat and 0.61±0.038 μg TEAC/g for quebranta. After inducing experimental hyperglycemia with alloxane in Rattus norvegicus strain Holtzman, treatment was carried out for 7 days and glucose levels were measured at 1, 2 and 4 hours. At a dose of 500 mg/kg, orally, of biophenols/PUFA from muscat and quebranta seeds, a hypoglycemic effect was observed; whose results were verified with the Shapiro-Wilk test (p-value > α = 0.05), Tukey’s multiple comparisons test (p-value 0.0001 < α = 0.05), Student’s T with p-value < α = 0.05 at 1 hour for days 1 to 6, and p-value 0.999 > α = 0.05 for 2 and 4 hours on day 7, indicates a small probability of difference; in ANOVA results the mean difference is significant (p-value 0.0001 < α 0.05). The Pearson analysis found a strong correlation [0.50 ≤ (0.9530–0.9827) < 1.0] between glibenclamide/biophenols-PUFA glucose levels. Current data show an in vitro antioxidant effect and hypoglycemic activity of the seeds of grapes of the muscat and quebranta varieties.

Graphical abstract
Comparative mitogenomic analysis of three bugs of the genus Hygia Uhler, 1861 (Hemiptera, Coreidae) and their phylogenetic position
Authors: Wang Shijun , Ding Xiaofei , Yi Wenbo , Zhao Wanqing , Zhao Qing , Zhang Hufang
Published: September 2023

Hygia
Uhler, 1861 is the largest genus in the bug family Coreidae. Even though many species of this genus are economically important, the complete mitogenomes of Hygia species have not yet been reported. Therefore, in the present study, the complete mitogenomes of three Hygia species, H. lativentris (Motschulsky, 1866), H. bidentata Ren, 1987, and H. opaca (Uhler, 1860), are sequenced and characterized, and submitted in a phylogenetic analysis of the Coreidae. The results show that mitogenomes of the three species are highly conserved, typically with 37 genes plus its control region. The lengths are 16,313 bp, 17,023 bp, and 17,022 bp, respectively. Most protein-coding genes (PCGs) in all species start with the standard codon ATN and terminate with one of three stop codons: TAA, TAG, or T. The tRNAs secondary structures of all species have a typical clover structure, except for the trnS1 (AGC) in H. bidentata, which lacks dihydrouridine (DHU) arm that forms a simple loop. Variation in the length of the control region led to differences in mitochondrial genome sizes. The maximum-likelihood (ML) and Bayesian-inference (BI) phylogenetic analyses strongly supported the monophyly of Hygia and its position within Coreidae, and the relationships are ((H. bidentata + (H. opaca + (H. lativentris + Hygia sp.))). The results provide further understanding for future phylogenetic studies of Coreidae.
Efficacy, Safety, Predictability, and Stability of LASIK for Presbyopia Correction: A Systematic Review and Meta-analysis
Authors: Zhang Guanghong , Cao Haixing , Qu Chao
Published: September 2023

Purpose:

To determine the efficacy, safety, predictability, and stability of laser in situ keratomileusis (LASIK) in the treatment of presbyopia.

Methods:

The databases of CNKI, VIP, Wan-Fang, CBM, Chinese Clinical Registry, PubMed, The Cochrane Library, Web of Science, Embase, and ClinicalTrials.gov were searched until March 2023. The authors chose the studies of LASIK in the treatment of presbyopia. Outcomes were efficacy, safety, predictability, and stability. The review was registered in the international platform of registered systematic review and meta-analysis protocols (INPLASY202350005).

Results:

A total of 28 non-randomized controlled trials (15,861 eyes) were included. The results showed that after LASIK, (1) the distance efficacy decreased (mean difference [MD]: 0.02, 95% CI: 0.0 to 0.03,
P
< .05) and the near efficacy increased (MD: −0.01, 95% CI: −0.19 to−0.02,
P
< .05); (2) the distance safety decreased (MD: 0.07, 95% CI: 0.04 to 0.10,
P
< .0001) and near safety increased (MD: −0.19, 95% CI: −0.39 to 0.02,
P
> .05); (3) the predictability within ±1.00 and ±0.50 D was 94% (relative risk [RR]: 0.94, 95% CI: 0.90 to 0.98,
P
< .001) and 80% (RR: 0.80, 95% CI: 0.74 to 0.86,
P
< .001), respectively; and (4) 6 months postoperatively, the percentage of spherical equivalent changing within ±0.50 D was 95% (RR: 0.95, 95% CI: 0.89 to 0.99,
P
< .001).

Conclusions:

The near efficacy, predictability, and stability of LASIK for presbyopia correction were satisfactory; however, the distance efficacy and distance safety decreased.

[
J Refract Surg
. 2023;39(9):627–638.]
Schur's test, Bergman-type operators and Gleason's problem on radial-angular mixed spaces
Authors: Huang Long , Wang Xiaofeng
Published: September 2023

Let $ 0 < p, q < \infty $, $ \Phi $ be a generalized normal function and $ L_{p, q}(\Phi) $ the radial-angular mixed space. In this paper, we first generalize the classical Schur's test to radial-angular mixed spaces setting and then find the sufficient and necessary condition for the boundedness of integral operators from $ L_{p_1, p_2}(\Phi) $ to $ L_{q_1, q_2}(\Phi) $ for $ 1\leq p_i, q_i\leq \infty $ with $ i\in\{1, 2\} $. Moreover, we also establish the boundedness of Bergman-type operators $ P_{s, t} $, where $ s\in {\mathbb R} $ and $ t > 0 $, on holomorphic radial-angular mixed space $ H_{p, q}(\Phi) $ for all possible $ 0 < p, q < \infty $. As an application, we finally solve Gleason's problem on $ H_{p, q}(\Phi) $ for all possible $ 0 < p, q < \infty $.
A novel numerical approach for solving delay differential equations arising in population dynamics
Authors: Obut Tugba , Cimen Erkan , Cakir Musa
Published: September 2023

In this paper, the initial-value problem for a class of first order delay differential equations, which emerges as a model for population dynamics, is considered. To solve this problem numerically, using the finite difference method including interpolating quadrature rules with the basis functions, we construct a fitted difference scheme on a uniform mesh. Although this scheme has the same rate of convergence, it has more efficiency and accuracy compared to the classical Euler scheme. The different models, Nicolson's blowfly and Mackey–Glass models, in population dynamics are solved by using the proposed method and the classical Euler method. The numerical results obtained from here show that the proposed method is reliable, efficient, and accurate.
Logomania in Counterfeit Luxury Brands Consumption
Authors: Poon Stephen T. F.
Published: September 2023

This book chapter delves into the captivating realm of logomania, offering an in-depth exploration of the intricate interplay between branding, consumer behaviour, and emerging technologies in the context of the luxury industry. Through a meticulous examination of historical evolution, consumer perceptions, economic implications, and technological innovations, this chapter unravels the multifaceted dimensions of logomania's impact on counterfeit luxury goods. The unit of analysis centres on individuals, affording a granular understanding of consumer motivations, aspirations, and decision-making processes. The authors traverse the historical trajectory of logos, from functional identifiers to potent symbols of luxury and status. Drawing on recent evidence, they reveal how logos have seamlessly adapted to the digital age, redefining their resonance and impact in the era of social media and influencer collaborations. The economic and legal ramifications of counterfeiting are dissected, underscoring the significant losses incurred by luxury brands and showcasing legal strategies to combat this illicit trade. Moreover, the emergence of innovative technologies, such as blockchain, augmented reality, and artificial intelligence, is explored as a potent arsenal against counterfeiting. These technologies empower consumers with tools to authenticate products, fostering responsible consumer choices and bolstering brand protection efforts.