bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictive Modeling and Optimization of Plywood Drying: An Artificial Neural Network Approach
Authors: Guamán-Lozada Darío , José Tobar Heredia María , Zambrano-Vinueza Mayra , Pesantes Ortiz Roister Alexis , Moscoso-Martínez Marlon , Manobanda Pinto Paul Marcelo 
Published: April 2024

Introduction:
This investigation delves into the optimization of the plywood
drying process through the development of predictive models for output moisture content
(MC_Out) and waviness. It focuses on bridging the gap in current methodologies by employing
artificial neural networks (ANNs), optimized with genetic algorithms, to enhance
prediction accuracy and process efficiency.

Materials and Methods:
A comprehensive experimental design was employed, analyzing
the effects of three wood types (Doncel, Tamburo, and Zapote), two thickness levels, and
three drying speeds on MC_Out and waviness. Data collected were subjected to both traditional
statistical analysis and ANNs. The ANNs were fine-tuned through genetic algorithms,
exploring different network architectures to achieve optimal predictive performance.

Results:
Statistical models revealed the significant influence of wood type, thickness, and
drying speed on MC_Out and waviness, explaining 95.9% and 84.3% of the variations,
respectively. The optimized ANN models, however, demonstrated superior accuracy, with
the MC_Out model achieving fitted R-squared values of 0.940 and 0.757 for training and
validation sets, respectively, thus outperforming traditional models in predicting drying
outcomes.

Discussion:
The study underscores the effectiveness of ANNs in capturing complex nonlinear
relationships within the plywood drying data, which traditional statistical models
might not fully elucidate. The successful optimization of ANN architecture via genetic algorithms
further highlights the potential of machine learning approaches in industrial applications,
offering a more precise and reliable method for predicting drying process outcomes.

Conclusion:
The integration of artificial neural networks, optimized through genetic algorithms,
represents a significant advancement in the predictive modeling of plywood drying
processes. This approach not only offers enhanced prediction accuracy for key variables
such as MC_Out and waviness but also paves the way for more efficient and controlled
drying operations, ultimately contributing to the production of higher-quality plywood.
Determination of AGE-CML Level in Commercially Available Sports Bar in Italy
Authors: Cannataro Roberto , Elechi Jasper Okoro Godwin , La Torre Chiara , Fazio Alessia , Abrego-Grandique Diana Marisol , Caroleo Maria Cristina , Cione Erika 
Published: April 2024

Introduction:
The process of bar creation involves improving the texture of the product to increase its palatability, which can be further induced by various physical or chemical changes during storage, such as sugar crystallization and molecular migrations in which Maillard’s reaction occurs, forming the N-epsilon- (carboxymethyl) lysine (CML) adduct. In this study, we aimed to assess (the CML) adduct used in commercial bars today as meal substitutes or for athletic or sports purposes. The adduct CML is an advanced glycation end-product (AGEs) found in the human body (serum) and foods. It is the significant ligand for the Receptor for Advanced Glycation End Products (RAGE), resulting in chronic inflammation upon CML activation. Additionally, it aimed to assess the amount of AGEs-CML in various energy bars available on the Italian market.

background:
The adduct CML is an advanced glycation end-product (AGEs), found in the human body (serum) and foods. The CML-adduct is the significant ligand for the receptor for advanced glycation end products (RAGE), resulting in chronic inflammation upon CML activation.

Method:
CML OxiSelect ™ ELISA was used to assess the quantity of CML bars. The amount of AGE-CML was assessed in commercially available energy bars.

Results:
According to the ELISA analysis, CML concentrations per g protein in all the tested energy bars varied from 138,42 to 1387,54 μg/gr per bar and from 461,41 to 3970,46 μg/gr per 100 gr of product, which depends on the quantity of protein.

Conclusion:
The amount per gram of protein is relatively uniform (with a variation of about 10%), and when compared to other foods, it is positioned in a medium-low range.
Evolutionary Perspectives on Neural Network Generations: A Critical Examination of Models and Design Strategies
Authors: Yousif Jabar H. , Yousif Mohammed J. 
Published: April 2024

:
In the last few years, Neural Networks have become more common in different areas
due to their ability to learn intricate patterns and provide precise predictions. Nonetheless, creating
an efficient neural network model is a difficult task that demands careful thought of multiple
factors, such as architecture, optimization method, and regularization technique. This paper aims
to comprehensively overview the state-of-the-art artificial neural network (ANN) generation and
highlight key challenges and opportunities in machine learning applications. It provides a critical
analysis of current neural network model design methodologies, focusing on the strengths and
weaknesses of different approaches. Also, it explores the use of different deep neural networks
(DNN) in image recognition, natural language processing, and time series analysis. In addition,
the text explores the advantages of selecting optimal values for various components of an Artificial
Neural Network (ANN). These components include the number of input/output layers, the
number of hidden layers, the type of activation function used, the number of epochs, and the
model type selection. Setting these components to their ideal values can help enhance the model's
overall performance and generalization. Furthermore, it identifies some common pitfalls and limitations
of existing design methodologies, such as overfitting, lack of interpretability, and computational
complexity. Finally, it proposes some directions for future research, such as developing
more efficient and interpretable neural network architectures, improving the scalability of training
algorithms, and exploring the potential of new paradigms, such as Spiking Neural Networks,
quantum neural networks, and neuromorphic computing.
Diseño de microred aislada usando energías renovables híbridas con convertidor electrónico multidireccional y multipuertos para alimentar centros de salud alejados
Authors: Tisza     Contreras Juan Francisco , Ortega Solorzano David Enrique 
Published: April 2024

Este articulo tiene dos aspectos fundamentales a considerar, uno de ellos es el que corresponde a garantizar el suministro de energía para un centro básico de salud, utilizando generación con recursos de energías renovables, en este caso lo que se propone es suministrar a las cargas toda la suficiente energía eléctrica para garantizar el funcionamiento continuo del centro de salud, se considera en este trabajo fuentes fotovoltaicas y eólicas; el segundo punto a considerar está relacionado con el análisis , diseño y simulación de convertidores electrónicos de potencia, en especial buscando el funcionamiento bidireccional de los mismos y enfocando su estudio tanto en la etapa de potencia como en la de control. Elementos importante que es considera son la estrategias de control avanzado, además se complementa con los sistemas de almacenamiento de energía. En todos los casos usamos los IGBT como dispositivos usados en la implementación del hardware. Se utiliza el Matlab, Simulink, asi como también el PSIM para las simulaciones y pruebas.
lnvestigation of the Effect of a Mechanical Stress Concentrator on the Processes of Occurrence and Development of Cracks in Structural Elements of Aviation Equipment
Authors: Sizonov I. I. , Lebedev E. L. , Popov A. N. , Mukhin I. Е. 
Published: April 2024

The purpose of the research is investigation of the patterns of crack development in structural elements of aviation equipment from a stress concentrator under the influence of a force stretching along the main axis, symmetrical alternating loads (vibrations) and combined effects in order to determine the criticality of operation of aircraft products with crack-type defects, substantiation or refutation of the need for research and operation of the processes of development of stress-strain states preceding the occurrence of a crack, in systems and complexes of periodic, preflight and operational control of the technical condition of aircraft products.Methods. Еxperimental study of the patterns of crack development from a stress concentrator in structural elements of two form factors: a cylindrical sample (GOSТ 25347-82) simulating a stringer or a load-bearing structural beam, and a plate sample (GOSТ 1497-84), simulating an aircraft skin element. Cylindrical samples were subjected to deformation caused by the kinetics of rotation, plate samples were subjected to uniaxial tensile stress and the effects of alternating loads (vibrations) individually and in combination.Results. Тhe patterns of near-surface and deep crack development, their relationship with the frequency of application of symmetric alternating loads, have been studied. Еxpressions are established for the approximate engineering calculation of the material endurance limit, fracture surface area and constant endurance with an approximation accuracy Proceedings of the Southwest State University. Series: Control, Computer Engineering, of about 0.8. For samples in the form of flat plates, a stress-strain diagram is constructed, clearly illustrating the decrease in the endurance of the material to the effects of combined loads in relation to the effects of static tensile stresses only. Тhe approximate number of residual cycles before the structural element is destroyed is estimated, taking into account the amplitude-frequency parameters of the acting vibration in the presence of a crack in the sample. Тhe estimation method using the load intensity coefficient and mathematical expressions for its calculation is given.Conclusion. /t is concluded that it is necessary to analyze the dynamics of the development of stress-strain states (fatigue) of the material as states preceding the appearance of cracks in order to carry out sufficient control of the technical condition of structural elements of aircraft products.
Automated Classification of Abdominal Ultrasound lmages of the Pancreas Based on the Spectral Representation of the Border’s Contours
Authors: Kuzmin A. А. , Sukhomlinov A. Yu. , Chasib Hasan Al-Darraji , Tomakova R. A. , Dolzhenkov S. D. , Shulga L. V. 
Published: April 2024

The purposeof the research is to develop a methodology for classifying complexly structured halftone images based on a multimodal approach using methods of morphological analysis, spectral analysis and neural network modeling.Methods. А method for classifying the contours of the boundaries of segments of a complexly structured image is described. Тhe method is based on the fact that in chronic diseases of the pancreas, there is a violation of the integrity of the contour of its border and its waviness increases due to retractions and bulges caused by an alterative inflammatory process. Тhe method includes the stages of normalization of ultrasound images and image segmentation with the selection of the contour of the object of interest. Тo classify the contour of a segment boundary, it is proposed to use Fourier analysis and neural network technologies. Тhe method is illustrated using the example of classifying the contour of the border of the pancreas on its transcutaneous acoustic image.Results. Еxperimental studies of the proposed methods and means for classifying medical risk were carried out on diagnostic tasks according to the following classes: "chronic pancreatitis" – "without pathology". For experimental studies, video sequences of ultrasound images of the pancreas provided by an endoscopist were used. Тhe purpose of the experimental studies was to analyze the classification quality indicators of image classifiers with class segments "Chronic pancreatitis" and "Without pathology". Тhe training sample of video images (frames of video sequences) included 200 examples, one hundred from each class. Тhe quality indicator "Sensitivity" of classification for two classes is 85,7%, the indicator "Specificity" is 87,1%.Тhe use of the contour analysis method in classifiers of ultrasound images of the pancreas opens up new opportunities for accessible and objective diagnosis of pancreatic diseases, expanding the capabilities of intelligent clinical decision support systems.
Geostrophically Constrained Flow of Warm Subsurface Waters Into Geometrically Complex Ice Shelf Cavities
Authors: Finucane Garrett , Stewart Andrew 
Published: April 2024

Antarctic ice shelves are losing mass at drastically different rates,
primarily due to differing rates of oceanic heat supply to their
bases. However, a generalized theory for the inflow of relatively warm
water into ice shelf cavities is lacking. This study proposes such a
theory based on a geostrophically constrained inflow, combined with a
threshold bathymetric elevation, the Highest Unconnected isoBath (HUB),
that obstructs warm water access to ice shelf grounding lines. This
theory captures ~90% of the variance in melt rates
across a suite of idealized process-oriented ocean/ice shelf simulations
with quasi-randomized geometries. Applied to observations of ice shelf
geometries and offshore hydrography, the theory captures
~80% of the variance in measured ice shelf melt rates.
These findings provide a generalized theoretical framework for melt
resulting from buoyancy-driven warm water access to geometrically
complex Antarctic ice shelf cavities.
A Study on The Problematization of Logistics in Agricultural Production in The State of Tocantins
Authors: Marchi Liziane Fátima Prichoa de , Oliveira Edson Aparecida de Araujo Querido , Bigeli Beatriz Cilene Mafra Neves , Maricato Andreia Fogaça Rodrigues , Oliveira Márcia Regina de , Rodrigues Waldecy , Conti Diego Melo , Quaresma Cristiano Capellani 
Published: April 2024

Objective: the research aims to describe the logistical service system, observing the problematization of agricultural production in the state of Tocantins, considering that this sector is one of the most promising in terms of socioeconomic and regional development in the country.

Theoretical benchmark: with the growing advancement of agricultural production and the exploration of new frontiers, Brazil stands out as one of the main exporters of agricultural products today. Given the significant development of agriculture, it is observed that the logistical factor, mainly costs and infrastructure, is among the elements with the greatest impact on the efficiency of the entire agricultural production chain in the state of Tocantins.

Method: the methodology adopted will be the deductive method, based on theoretical logistics studies, applicable legislation, and support materials for logistics learning systems, in addition to economic representation in the state of Tocantins. The resources used include bibliographic and documentary material and other instruments or research techniques in accordance with the adopted methodology, aiming to provide support for research on the proposed theme.

Results and conclusion: given the content of this study, it is highlighted that the chain of agricultural processes encompasses a complex network of activities in the production chain, and cannot be conceived solely as a relationship between producer and consumer, given its breadth of action. In this context, it should be noted that logistics services end up representing one of the obstacles to the development of agriculture in the State of Tocantins, mainly due to its geographic location.

Implications of the research: the approach adopted in this research offers unprecedented scientific contributions to the field of logistics, providing theoretical bases for interventions and public policies that can impact this economic activity in a Brazilian state with strong economic and social growth trends, whose production has repercussions at national and international levels.

Originality/value: the social transformations of recent decades, related to the process of globalization of the economy and technology, have directly influenced the social and economic life of countries, affecting production and service chains and interfering in labor relations. Therefore, the increase in regions dedicated to agribusiness activities is a general trend among emerging countries, requiring a deeper understanding of the territorial approach to regional development, especially in economic activities hampered by bottlenecks in the logistics system, both national and international. Thus, new reflections and planning are necessary and imperative elements in Brazilian states like Tocantins.
Media Smart Car Game Berbasis Android Untuk Meningkatkan Kemampuan Numerasi Anak Usia Dini
Authors: Sapiuddin Rengga Hasra Wati 
Published: April 2024

Abstract. The purpose of this study was to improve the numeracy skills of 5-6 year old children at the TK Negeri Pembina Mowewe, East Kolaka Regency. This research uses the Research and Development type of research by following the steps of the ADDIE model (a) analysis, (b) planning, (c) development, (d) implementation, (e) evaluation. This study took a sample of 5-6 year old students as many as 15 students. The results obtained are very good with an average of 3.6 and a percentage of 89.5%.Abstrak. Tujuan penelitian ini adalah untuk Meningkatan kemampuan numerasi anak usia dini 5-6 tahun di TK Negeri Pembina Mowewe Kabupaten Kolaka Timur. Penelitian ini Menggunakan jenis penelitian Research and Development dengan rnengikuti langkah-langkah model ADDIE (a) Analisis, (b) perencanaan, (c) pengembangan, (d) lmplementasi, (e) evaluasi. Penelitian ini mengambil sampel peserta didik 5-6 tahun sebanyak 15 Anak didik. Hasil yang didapat adalah sangat baik dengan rata-rata 3,6 dan persentase 89,5%
Strategi Humas Dalam Menjalin Kerja Sama Dengan Dunia Usaha Dan Dunia Industri Di Sekolah Menengah Kejuruan
Authors: Amaliya Ayu , Mappincara Andi , Basri Syamsurijal 
Published: April 2024

Penelitian ini mengkaji tentang strategi humas dalam menjalin kerja sama dengan dunia usaha dan dunia industri serta faktor penghambat dan pendukung di SMK Negeri 1 Luwu Timur Kabupaten Luwu Timur. Pendekatan penelitian ini adalah kualitatif dengan jenis pendekatan deskriptif. Teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi. Hasil penelitian ini menunjukkan strategi humas SMK Negeri 1 Luwu Timur dalam menjalin kerja sama dengan DU/DI diantaranya: (1) Strategi operasional, meliputi; penandatangan MoU dan pelibatan seluruh stekholder, (2) Strategi persuasif dan edukatif, meliputi; mensosialisasikan potensi dan keunggulan sekolah, pembelajaran produktif, program pelatihan kejuruan, pemenuhan fasilitas, dan sosialisasi pra magang (3) Strategi tanggung jawab, meliputi; analisis kebutuhan masyarakat dan dunia kerja, pelayanan prima dan pengoptimalan perancangan dan pelaksanaan program keahlian, (4) Strategi kerja sama, meliputi; Prakerin, penelusuran lulusan, kunjungan industry, dan magang guru, (5) Strategi koordinatif dan integratif, meliputi; menciptakan citra positif sekolah, komunikasi timbal balik, program keahlian unggul dan pemanfaatan media komunikasi dan informasi. Faktor pendukung dan penghambat kerja sama berasal dari dalam dan luar sekolah. Adapun saran yang diberikan; (1) memberikan job deskripsi yang jelas pada setiap pegawai agar tidak terjadi tumpang tindih tugas. (2) mengoptimalkan penggunaan teknologi informasi sebagai wadah mengintegrasikan layanan informasi dan relasi dengan DU/DI.
Development of E-learning Teaching Materials Graphic Media Development Course for Students’ Educational Curriculum and Technology
Authors: Setyaedhi Hari Sugiharto , Mariono Andi , Sumarno Alim 
Published: April 2024

This study aims at identifying the feasibility and efficacy of e-learning material for graphic media development subject by using the e-learning material provided by Universitas Negeri Surabaya. The study takes place in The Department of Technology of Education, Universitas Negeri Surabaya. The subject involves students who have participated in media graphic course. The samples are selected through simple random sampling with the amount of samples in experiment and control class is 30 students each. This development research is carried out using the development model of Four-D Model with the stages of Define, Design, Develop, Disseminate. The validation test on each unit of test proved that all of them are considered valid at Sig. 5%, while the reliability coefficient of the test is = 0.83. Feasibility test on the material and media each gains 88.5% and 87.7%, which means very feasible to apply. The effectiveness test on the e-learning material is conducted using quasi experimental group analysis technique. Based on the Independent sample t test, it was gained that (p < 0.05). N-Gain from the experiment class is 0.6 which categorized as fairly effective, while the N-Gain of the control class is 0.45 and perceived as less effective. The findings presented that e-learning material is deemed feasible and fairly effective to be used during the teaching and learning activity and could improve the students’ learning outcome.
Верифікація результатів спрямованого асоціативного експерименту (обмеження реакцій порівняльним сполучником as … as) на основі даних англійськомовного веб-корпусу iWeb
Authors: Mizin Kostiantyn , Kotsur Viktor , Letiucha Liubov , Saik Alina 
Published: April 2024

Метою статті є розроблення методики для верифікації результатів спрямованого асоціативного експерименту (обмеження асоціацій англійськомовних респондентів компаративним сполучником as … as) на основі даних веб-корпусу iWeb. Шляхом апробації методики перевірена наукова валідність припущень, що (1) корпусні дані слугують надійною базою для верифікації спрямованих асоціативних експериментів та (2) показники частотності окурентів слів-запитів корелюють із показниками частотності реакцій учасників асоціативних експериментів, тому вивчення корпусних даних може замінити в деяких випадках необхідність проведення асоціативних експериментів узагалі.
Двоетапна методика дослідження передбачала зіставний аналіз (1) результатів асоціативного експерименту (перша вибірка) з матеріалом словника усталених порівнянь англійської мови (друга вибірка) та (2) даних перших двох вибірок з даними третьої – корпусної – вибірки, яка містить найчастотніші окуренції слів-запитів у компаративних конструкціях [As+Adj+As+Def.Art.+N], [As+Adj+As+Indef.Art.+N] та [As+Adj+As+0Art.+N]. Кореляція першої та третьої вибірок додатково перевірена за допомогою статистичного аналізу (визначення показника χ2).
Результати. На першому етапі дослідження виявлено помітний розрив між актуальною свідомістю (реакції респондентів) і мовним матеріалом (дані словника). Цей розрив пояснюється різними мовними й культурними чинниками, передусім глобалізацією, редукцією «культурної пам’яті» та тенденцією до економії мовленнєвих зусиль. На другому етапі встановлено, що найбільш частотні окуренти слів-стимулів, які репрезентують образні порівняння, є актуальнішими за матеріал словника. На відміну від останнього, показники окуренцій веб-корпусу iWeb більшою мірою корелюють із показниками реакцій асоціативного експерименту, демонструючи найвищий показник збігів образних порівнянь серед трьох вибірок – 14.4 %. Проте цей показник є занадто низьким, щоб підтвердити наукову валідність згаданих вище припущень.
Висновки. Здійснена верифікація виявилася недостатньо об’єктивною. Утім, саму ідею такої верифікації не слід відкидати, оскільки кореляцію між даними першої та третьої вибірок довів статистичний аналіз (показник χ2=10.45, що дозволяє прийняти нульову гіпотезу). Тому асоціативні експерименти можуть бути замінені аналізом корпусних даних, але лише у випадку встановлення актуальності (поширеності) певних мовних одиниць або явищ. Хоча і в цьому випадку слід рахуватися з тим, що результати, отримані шляхом вивчення даних корпусів, принципово відрізнятимуться від результатів експериментів.