bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of different VIUSID Agro® concentrations on the growth of Coffea arabica L. seedlings
Authors: Bustamante González Carlos Alberto , Yudmila Vázquez Osorio  , Ferras Yusdel 
Published: August 2023

Objective: The VIUSID Agro® biostimulant contains amino acids, vitamins, and minerals. It was subjected to a biocatalytic process of molecular activation to improve its biological activity. In Cuba, its benefits have been demonstrated mainly in vegetables, sugar cane, and tobacco.Design/Methodology/Approach: The effect of the product on the morpho-agronomic traits of coffee seedlings was evaluated through experiments carried outin the nursery of the Instituto de Investigaciones Agro-Forestales of Tercer Frente, from December 2019 to July 2020 and from October 2020 to June 2021, using a saran shade cloth. In a completely randomized design, 6 concentrations of VIUSID Agro® (0, 0.2, 0.4, 0.6, 0.8, and 1.0 mL L -1 of water) were applied monthly on thesecond to the fifth pair of leaves. Seedling height, stem diameter, dry mass, leafarea, quality index, and efficiency were evaluated. Data were processed using a simple classification analysis of variance. The means were compared with Duncan´´ s test. The concentrations and the leaf area were adjusted to several functions and the one with the highest coefficient of determination was selected.Results: Coffee seedlings had a positive response to the biostimulant. The monthly foliar applications of VIUSID Agro® between the second and the fifth pair of leaves increased the morpho agronomic indicators of the seedlings.Findings/Conclusions: VIUSID Agro® in concentrations ranging between 0.64 and 0.71mL L -1 of water caused significant increases in the leaf area of the seedlings.
Analysis of Data Propagation in Blockchain Network
Authors: Gholamrezazadeh Motlagh Saeideh 
Published: August 2023

<p>Bitcoin is the first cryptocurrency based on blockchain technology emerged in 2008 to provide a peer-to-peer (P2P) electronic cash system without a financial third party. Much research has been done to analyze different aspects of blockchain-based networks and improve their performance. This dissertation presents an innovative approach to evaluating the churning process (the dynamic participation of nodes in the P2P network) in the Bitcoin network. We propose an analytical model based on the Continuous Time Markov Chain (CTMC) and queuing model to evaluate node churn impact on Bitcoin network performance and calculate the synchronization time needed for nodes when rejoining the net- work.</p>
<p>This dissertation also proposes an analytical model for the Bitcoin network’s churning process with relay nodes that is the first to the best of our knowledge. Relay nodes only distribute blocks in the network and have a higher number of connections. We introduce two different CTMCs for ordinary and relay nodes to model each type of node’s behavior separately. We analyze the transaction and block propagation in the network and calculate synchronization time. We show that the churn of relay nodes has a higher impact on traffic performance than ordinary nodes.</p>
<p>Moreover, we introduce an analytical model to evaluate the impact of node churn in the Bitcoin network when compact block protocol is in use. Compact block protocol aims to reduce bandwidth usage and probably latency by propagating a smaller version of blocks in the network. We model the node’s behavior with CTMC and calculate synchronization time including transaction deficit recovery.</p>
<p>Finally, we propose an analytical model to evaluate the impact of selfish behavior on Bitcoin network performance. We evaluate the Bitcoin network’s performance metrics, including network connectivity, block arrival rate, delivery time, and block response time in the presence of selfish miners. We also calculate the probability of intentional forking caused by selfish behavior compared to unintentional forking caused by network delay and show that intentional forking probability is higher than unintentional forking, which may result in ledger inconsistency. </p>
Machine Learning Service Recommendation Based on Accuracy Related QoS Attributes
Authors: Alghofaily Bayan 
Published: August 2023

<p>Machine Learning (ML) is a topic of interest in computer science. Amazon AWS, Google Cloud and Microsoft Azure are examples of cloud platforms that provide ML services. Analysts can easily analyze data using online ML services, and most of the model processing is done using cloud services to provide fast and reliable results. Many of these services offer similar functionalities, and the challenge is how to select the best service for the data. Traditional approaches for service-selection depend only on general understanding of the service functionality. A better way is to consider both functional and non-functional requirements. Functional requirements determine overall behaviour of a service. Non-functional requirements establish how relevant a service is to the user’s query and refer to the Quality of Service (QoS) attribute. QoS- based service-selection has been studied in the service computing community for some time. However, characteristics of the input dataset are not usually considered in the selection process even though they might affect the QoS values of the service. In this dissertation, we investigate the impact of adding dataset features and other side information on the performance of QoS prediction and service recommendation. We focus on ML services since their QoS values are potentially highly dependent on the dataset.</p>
<p>We propose two approaches for ML service recommendation and compare their performances. The first approach uses factorization for web service recommendation. We identify latent features of the datasets and the services and then recommend services by exploiting these latent variables. The second approach uses neural networks to identify latent features. We also integrate two sets of side information (dataset and service) in both approaches, and study the effect of these added features. In the experiment, we test our system using the real QoS data of 24 classification models running on 390 datasets downloaded from OpenML. In both implementations, models with side information outperform the basic model. To guarantee the best performance for our model, adding side information is necessary, which increases the predictive accuracy by 5% to 25%. Thus, we recommend integrating the side information in recommender systems, specifically including dataset features when recommending ML services. </p>
"They Say So": Do True, False, Negative, and Positive Rumours Affect Stock Price in Different Ways?
Authors: Akhter Tahmina 
Published: August 2023

<p>In this thesis I examine the effect of rumours on stock prices by the means of event study methodology. The evidence offered by previous studies on the effect of rumours on stock prices and returns is mixed, thus the topic merits further investigation. One distinguishing characteristic of this study is that it examines different types of rumours (positive versus negative), as well as whether these rumours are true or false. Using a dataset that includes the rumours on 110 stocks and applying the event study methodology, I find no evidence of statistically significant changes in stock prices after the publication of rumours. Furthermore, I find that the type of rumours, whether positive or negative, and its nature, whether false or true, did not affect the observed results in terms of statistical significance. </p>
Design and Analysis of Multi-Patch Composite Plates for a High Multi-Stability of a Morphing Skin
Authors: Algmuni Abdulhakim 
Published: August 2023

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<p>The morphing structures are a significant research area in engineering industry, especially, the fields of aerospace and aircraft which aim at improving performance over a wider range of normal operating conditions. The most challenging design requirement of a morphing structure is a skin, which exhibits both in-plane compliance and out-of-plane stiffness. An asymmetric composite laminate is as good candidate for achieving a morphing skin. By curing the unidirectional composite laminate at elevated temperature and cooling at room temperature, a phenomenon of bi-stability is mainly caused by the mismatch in the thermal expansion coefficients of lamina within the laminate. In practical applications, a single bi- stable composite cannot fulfil multi-stable configurations required for a multifunctional surface. For this reason, a number of bi-stable composite laminates is connected together as continuous surface for showing a higher degree of multi-stability.</p>
<p>In this dissertation, the model of Multi-Stable Composite Surface (MCS) is presented by tailoring bi-stable composite patches together in a (m×n) grid form, and then the model is extended to connect a mix of bi-stable and mono-stable composite patches. This new modification on the model reduced the interactions between adjacent bi-stable composite patches in order to show more distinct stable shapes. Based on these results, a novel connection approach is presented by introducing a flexible aluminum strip between connected bi-stable composite patches. This Multi-Stable Hybrid Surface (MHS) shows a theoretical maximum 2𝑛 stable configuration for 𝑛 number of bi-stable composite patches. These stable configurations are interesting shapes that may be used to create a large multi- stable surface as a useful device in a morphing skin application. Finally, potential applications of multi-stable hybrid surfaces are introduced. This work could be used as a guideline for design of a large multi-patch morphing skin in order to improve the multi- functional structures.</p>
Prediction of Remaining Useful Life for Aircraft Engines Using Convolutional and Recurrent Neural Networks
Authors: Amin Unit 
Published: August 2023

<p>Prognostics and health management plays a key role in aerospace systems due to their complexity and the consequences it has on safety and reliability of the system. The project extends on the work conducted using convolutional layers to extract higher level features from raw sensor data. A hybrid model using convolutional layers and recurrent layers is tested on the CMAPPS aircraft engine dataset simulated by NASA. In order to automate the hyperparameter selection process, a genetic algorithm is implemented. The hybrid model was able to make RUL predictions with RMSE values that were competitive, and often times better, when compared to other models in literature. A time window approach was adopted, and various values were tested to show the effectiveness of different hybrid models with convolutional layers. The work conducted in this project with hybrid models showed great promise in RUL prediction using raw sensor aircraft engine data. </p>
Vehicular Aerodynamics Wind Tunnel Testing of Unmanned Aerial Multirotor Vehicles and Wall Interference Corrections
Authors: Haleem Aarifah 
Published: August 2023

<p>Unmanned multirotor aerial vehicles, known commonly as drones, have become a popular form of flying system due to the versatility of their possible applications. In order to model the aerodynamics of manoeuvring multirotor vehicles, the aerodynamics of the rotors and the vehicle will be modelled separately. A DJI Matrice 210 RTK model quadcopter was reproduced using 3D printed parts and wood. The model components include the main body, four arms, two landing gear or legs, a battery, camera and gimbal, and the RTK GPS antennae, as well as accessories including a backup battery, backup antenna, and computer. Nine configurations of a combination of these components were tested in a wind tunnel at two given wind tunnel velocities and a sweep of angles of attack, sideslip angles, and roll angles. The aerodynamic forces and moments acting on the vehicle body were measured, and after accounting for tare forces and base drag, the data was corrected to account for wall and blockage effects from the wind tunnel’s closed test section. The intention of this project is to obtain wind tunnel testing results of the quadcopter model body and to setup a methodology to apply wall interference corrections. This project will support rotor aerodynamics and flight dynamics testing of the DJI Matrice 210 RTK currently in progress, which intend to improve control laws of unmanned multirotor aerial vehicles. </p>
Cable Tension Test
Authors: Anandgaonkar Rutuja Rajendra 
Published: August 2023

<p>The report focuses on operations of a cable pulley system within the nose landing gear of a Bombardier Global Express. The Manual release system is observed to lose pre-tension in the nose landing gear cable loop. Series of tests were performed to single out two possibilities that could be responsible for the tension loss. The two main causes were identified as structural deformation within the system and cable creep over time. With these tests it was confirmed that there is loss in tension when pulley cluster assembly was subjected to fixed load for longer duration of time, whereas, when the pulley cluster assembly was tested under similar loading for 5 days, negligible loss in tension was observed. The test was designed to last for 53 days but due to the outbreak of a pandemic, the entire test took 105 days to be completed. Additional investigation to eliminate stress relaxation within the cable within the structure, as a possible cause for the tension loss, will have to be carried after this test. Unwinding of the cable in the pulley cluster assembly was determined to be the primary cause of tension loss. The reason for the loss in tension could be a combination of both the above-mentioned causes. However, the test protocols performed here reveal the tension drop but more tests are required to conclusively determine the reason for tension drop. </p>
The Connection Between Cultural Tourism and Visiting Friends and Relatives (VFR) Tourism from Immigrant Hosts' Perspectives
Authors: Rahman Md Wahidur 
Published: August 2023

<p>The objective of this study is to discover and discuss the link between cultural tourism and VFR tourism from immigrant hosts’ perspectives. The grounded theory approach is applied, and a theoretical sampling technique is used for data collection and analysis. The data have been collected from Bangladeshi origin adult immigrants living in GTA. The study has found that hosts influence their VFR travelers in their visits and exploration of destination, practices and behaviour of people and their way of living. The result has also showed that the exploration of culture and the influence of hosts may turn their VFR travelers to cultural tourists. Finally, the study proposes a VFR-Cultural tourism continuum to explore the transition from VFR tourism to Cultural tourism and vice-versa. The study findings have practical significance as VFRs can be a unique form of travelers particularly after the COVID-19 situation, the visitors may likely make social connections and VFR tourism may act as a strategic alternative to tourism recovery. </p>
ОПЕРА «LE GRAND MACABRE» Д. ЛІГЕТІ: АБСУРД АБО РЕАЛЬНІСТЬ
Authors: Kapitonova Kateryna 
Published: August 2023

Мета статті – вияв музичних особливостей втілення двосвіту в опері Дьордя Лігеті «Le Grand Macabre» через співіснування, перехрестя абсурдності та реальності буття, що перегукується із сьогоденням і сприймається як його пророцтво. Для висвітлення поставленої мети застосовані наступні методи дослідження: історичний – при розгляді понять «macabre» та «dance macabre» в літературі та різних видах мистецтва; компаративний – для порівняння літературного першоджерела фарсу бельгійського драматурга Мішеля де Гельдерода «La Balade du grand macabre» з його музичним втіленням в опері «Le Grand Macabre»; аксіоматичний – при встановленні зв’язків між властивостями двосвіту опери Д. Лігеті; аналітичний – при розгляді музики показових, ключових сцен двосвіту опери. Наукова новизна запропонованої статті полягає в альтернативності обраного ракурсу при аналізі дуальної драматургії опери Д. Лігеті «Le Grand Macabre». В статті запропонована нова модель дуальності драматургії та образів опери – вертикальний двосвіт. В ньому співіснують два государі – Некроцар та принц Го‑Го; два міністри – лідери двох ворожих партій, Білої та Чорної; подвійне кохання – ідеальне Аманди і Амандо, агресивна любов астронома Астрадамора та його жінки Мескаліни; сценічна подвійність – поєднання палацу принца Го-го та народу на площі. Висновки. Єдина опера австро‑угорського композитора Д. Лігеті «Le Grand Macabre» є складною, багатопараметровою за задумом та його втіленням. Це спонукає до певної кількості сценічних прочитань, серед яких звертає на себе увагу постановка американського режисера Пітера Селларса. В опері, за визначенням самого композитора «анти-анти-опері», наявні риси символізму, театру абсурду, commedia dell’arte, підсилені прийомами іронії, гротеску, сарказму. У Д. Лігеті двосвіт трансформується із вертикальної площини, представленої в епоху романтизму, до горизонтальної, в якій неможливо відокремити світ один від одного.
ANÁLISE DO CONHECIMENTO TÉCNICO DE OPERADORES DO SISTEMA PRISIONAL SOBRE PESSOAS LGBTI+ PRIVADAS DE LIBERDADE
Authors: Vieira Ricardo Stanziola , Longen Bruna Roberta Wessner 
Published: August 2023

A complexidade de alguns temas de grande relevância social carrega consigo a inerente necessidade de estudos e discussões. A pesquisadora, que também é policial penal, tece alguns comentários sobre as minorias do sistema prisional brasileiro, tais reflexões iniciam o artigo e se estendem até a sua conclusão. O estudo imerge no contexto das prisões e seus personagens, identificando um grupo específico pertencente às minorias que compõe estes lugares, as pessoas LGBTI+. Foram coletadas informações de policiais penais, os quais laboram no ambiente prisional, que voluntariamente responderam a um questionário semiestruturado com dez perguntas, objetivando analisar o nível de conhecimento técnico desses profissionais sobre a existência e aplicabilidade de documentos normativos que regulamentam procedimentos adequados à execução penal de pessoas LGBTI+ privadas de liberdade, vinculantes à toda administração pública. Compreende-se a importância de se humanizar a dinâmica de cumprimento de pena e, para isso, é necessário que as gestões, em consonância com seu papel de diagnosticar situações de vulnerabilidade, atuem como mediadores sociais e difundam aos seus operadores informações técnicas e procedimentais já definidas, as quais são fundamentais para o desemprenho de suas funções.
PALAVRAS CHAVE: Prisão. Minorias. LGBTI+. Polícia Penal. Capacitação.

ABSTRACT
Some topics of great social relevance and also great complexity carry the inherent need of studies and discussions. The author of this research, who is additionally a criminal police officer, shares her view on the social minorities in the Brazilian prison system, those reflections go from the beginning to the conclusion of this article. The study immerses itself in the context of prisons and their characters, identifying a specific group belonging to the minorities that make up these places, LGBTI+ people. Information was collected from criminal police officers, who work in the prison environment, that voluntarily answered a semi-structured questionnaire with ten questions, aiming to analyze the level of technical knowledge of these professionals about the existence and applicability of normative documents that regulate adequate procedures for the criminal execution of crimes. LGBTI+ people deprived of their liberty, binding on the entire public administration. It is understood the importance of humanizing the dynamics of serving sentences and, for this, it is necessary that the administrations, in line with their role of diagnosing situations of vulnerability, act as social mediators and disseminate technical and procedural information to their operators already defined, which are fundamental for the performance of their functions.
Keywords: Prison. Minorities. LGBTI+. Police. Empowerment.
Factors influencing mobility among people post-surgery for hip fractures: A cross-sectional study
Authors: Yoryuenyong Chanipa , Jitpanya Chanokporn , Sasat Siriphan 
Published: August 2023

Background: After hip fracture surgery, patients often experience complications and a decline in mobility, leading to physical disability and increased dependency on caregivers. This may result in reduced independence, institutionalization, and higher mortality rates. However, there is limited research on mobility and its influencing factors in patients undergoing hip fracture surgery in Thailand.
Objective: This study aimed to determine the factors influencing mobility in patients with fractured hips within one year after surgery.
Methods: A cross-sectional study was conducted involving 143 randomly selected participants who had undergone hip fracture surgery between August 2022 to February 2023. Mobility and its influencing factors were measured using standardized questionnaires, including the De Morton Mobility Index, Parker Mobility Scale, Charlson Comorbidity Index, General Practitioner Assessment of Cognition, Groningen Orthopedic Social Support Scale, Fatigue Severity Scale, Pain Rating Scale, and Pittsburgh Sleep Quality Index. Descriptive statistics and multiple regression were utilized for data analysis.
Results: The mean mobility score for the patients was 48.86 out of 100 (SD = 17.89). The study found that comorbidity (β = -0.156, p = 0.009), cognitive function (β = 0.310, p <0.001), social support (β = 0.145, p = 0.010), pain (β = -0.176, p = 0.004), fatigue (β = -0.249, p <0.001), and sleep (β = -0.169, p = 0.009) collectively influenced mobility in patients after hip fracture surgery, explaining 61.8% of the variance (R2 = 0.618; F = 36.598; p <0.001).
Conclusion: The study’s results provide valuable insights for nurses to target these modifiable factors to enhance patients’ mobility. However, it is essential to note that patients with comorbidity and poor cognitive function may face difficulty maintaining mobility. Nurses should be attentive to these patients and provide appropriate management. Additionally, early rehabilitation should be initiated promptly to optimize outcomes.
Letramento, família e práticas educativas: programa conta pra mim
Authors: Demo Pedro , Da Silva Renan Antônio 
Published: August 2023

Este artigo discute a relação entre a família e as práticas de letramento através de duas frentes: a primeira investiga o Programa Conta pra Mim e a segunda examina uma experiência dentro da esfera doméstica de letramento. O objetivo deste estudo é analisar o Programa Conta pra Mim e contrapor suas práticas a uma pesquisa desenvolvida na residência de uma criança. As metodologias utilizadas na investigação foram à documental e a de “inspiração” etnográfica. O aporte teórico que serviu de base foi o dos Novos Estudos sobre Letramento. Pode-se concluir a partir das análises de documentos desse programa, que a atual perspectiva oficial para a alfabetização apaga os estudos sobre letramento e suprime o acúmulo de conhecimentos historicamente elaborados sobre o assunto, além disso, institui através do discurso científico a literacia familiar. Com relação à experiência vivida percebe-se a riqueza da esfera doméstica empobrecida pela abordagem do Programa.