bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Influence of Anchoring and Overconfidence on Investment Decision-Making in the Saudi Stock Market: A Moderated Mediation Model
Authors: Al Rahahleh Naseem 
Published: April 2024

Abstract
This research sheds light on the relationships between heuristic biases and investment decisions as demonstrated by Saudi investors by establishing a mediating role for investor overconfidence in the relationship between anchoring heuristics and investment decision-making. The first to present evidence for this role, the study takes into account specific types of investment decisions – i.e. decisions to buy, sell, and engage in frequent trading. Based on a sample of 598 responses, empirical evidence is presented to show that anchoring directly increases the extent to which investment decisions are irrational and also does so indirectly through its impact on overconfidence. Given that this is the case, investors would be well-advised to critically assess the influence on their investment decision-making of overconfidence, which may, in turn, be rooted in deep-seated biases such as anchoring. Further, the potential moderating effect of trading frequency on overconfidence and investment decisions is examined and a moderated mediation model presented to elucidate the relationship between anchoring bias and investment decisions. The findings underscore the importance of understanding these biases and taking a scientific approach to trading, including by engaging in infrequent trading, to producing more rational investment decisions. Put differently, the study highlights the benefit of infrequent over frequent trading: Compared to those who trade less frequently, investors who trade more frequently are more susceptible to overconfidence and anchoring biases.
Global attracting set of stochastic differential equations with unbounded delay driven by fractional Ornstein–Uhlenbeck process
Authors: Peng Yarong , Xu Liping , Li Zhi 
Published: April 2024

Abstract
In this paper, we have studied stochastic differential equations with unbounded delay in fractional power spaces perturbed by fractional Ornstein–Uhlenbeck process

Y

H
,
ξ

⁢

(
t
)

{{Y^{H,\xi}}(t)}

with

H
∈

(

1
2

,
1
)

{H\in(\frac{1}{2},1)}

. Subsequently, the existence and uniqueness of mild solution of the considered equation have been proved with fixed-point theorem. Finally, we obtain the global attracting set of the considered equations by some stochastic analysis and inequality technique.
Cinnamon: A potent nutraceutical agent for the protection of the cardiovascular system
Authors: Taherah Mohammadabadi , Asif Ur Rehman , Rajesh Jain 
Published: April 2024

Diseases such as diabetes, atherosclerosis, and hypertension are risk factors for Cardiovascular Diseases (CVDs). About 17.3 million deaths worldwide were due to CVDs in 2013 and is anticipated to be 23.3 million by 2030. Common therapies for CVDs are associated with wide side effects. Thus, herbal medicines have been regarded more due to fewer side effects, availability, cultural beliefs, and being cheap. For thousands of years, herbal medicine has been used for bacterial infections, colds, coughs, and CVDs. Cinnamon bark contains phenolic compounds such as cinnamaldehyde and cinnamic acid with protective properties that can reduce the risk of cardiovascular diseases, cardiac ischemia and hypertrophy, and myocardial infarction. Furthermore, cinnamon has antioxidant and anti-inflammatory properties and exhibits beneficial effects on the complications of diabetes, obesity, hypercholesterolemia, and hypertension which cause CVDs. Although the protective effects of cinnamon on the heart have been reported in many studies, it needs more clinical studies to prove the pharmaceutical and therapeutic efficacy of cinnamon on risk factors of CVDs. This review explains the protective effects of bioactive compounds of cinnamon on the cardiovascular system.
Current Trends in Updating School Textbooks Abroad
Authors: Бокова Т.Н. , Нин Х. 
Published: April 2024

Рассматривается ряд направлений обновления учебников в зарубежных странах. На примере США, Франции, Китая, стран Латинской Америки анализируется обновление содержания учебников путем их унификации или увеличения разнообразия. Демонстрируется изменение структуры современных учебников: показывается межпредметная интеграция в учебных материалах. Особое внимание уделяется созданию электронных форм современных учебников. Делается вывод о том, что модернизационные процессы в образовательных системах зарубежных стран, ориентированных на компетентностный подход, сопровождаются обновлением учебников.
A number of areas for updating textbooks in foreign countries are considered. Using the example of the USA, France, China, and Latin American countries, updating the content of textbooks by unifying them or increasing diversity is analyzed. The change in the structure of modern textbooks is demonstrated: interdisciplinary integration in educational materials is shown. Particular attention is paid to the creation of electronic forms of modern textbooks. It is concluded that modernization processes in the educational systems of foreign countries, oriented towards a competency-based approach, are accompanied by the updating of textbooks.
Task-Based Language Teaching in a Non-Linguistic University
Authors: Алилуева В.В. 
Published: April 2024

Рассматривается метод обучения английскому языку, способствующий развитию коммуникативных навыков у студентов неязыковых вузов. Приводятся его основные характеристики, достоинства и особенности. Показана структура занятия, основанного на методе коммуникативных задач.
The method of teaching English is considered, which contributes to the development of communication skills among students of non-linguistic universities. Its main characteristics, advantages and features are given. The structure of a lesson based on the method of communicative tasks is shown.
Organization of Control when Studying Russian as a Foreign Language (Pre-University Preparation)
Authors: Цха Н.Е. 
Published: April 2024

Определяются главные цели и задачи педагогического контроля, подчеркивается его роль в учебно-познавательной деятельности обучающихся. Рассматриваются существующие в методике обучения русскому языку функции, виды, формы контроля и самоконтроля знаний иностранных студентов. Приводятся примеры типовых контрольных и тестовых заданий к учебнику «Будущему педагогу. Элементарный уровень (А1)», включающего 35 контрольных работ, грамматические тесты и самостоятельные творческие задания. Обосновывается необходимость реализации системы контроля сформированности языковых навыков и речевых умений на всех этапах обучения русскому языку как иностранному с учетом целей, задач и видов занятий.
The main goals and objectives of pedagogical control are determined, its role in the educational and cognitive activity of students is emphasized. The functions, types, forms of control and self-control of knowledge of foreign students that exist in the methodology of teaching the Russian language are considered. Examples of standard control and test tasks for the textbook “Future Teacher. Elementary level (A1)”, including 35 tests, grammar tests and independent creative tasks. The necessity of implementing a system for monitoring the development of language skills and speech skills at all stages of teaching Russian as a foreign language, taking into account goals, objectives and types of classes, is substantiated.
Value Orientations of the Protected Person as a Refl ection of the Individual’s Living Space
Authors: Скосырская Ю.А. 
Published: April 2024

Нравственная, мировоззренческая составляющие жизненных принципов личности, являются компонентами ценностных ориентаций. Формирование ценностных ориентаций обусловлено рядом факторов, в свою очередь ценностные ориентации воздействуют на поведение личности, ее социальное взаимодействие. Рассматривается проецирование социальной среды, в которой находится личность, на формирование ее ценностных ориентаций, а также их влияние на жизненное пространство личности. Целью данной статьи является рассмотрение ценностных ориентаций защищаемого лица через призму их взаимовлияния и отражения в социальной структуре личности. Изучены ценностные ориентации категорий защищаемых лиц, дана оценка выдвинутой гипотезы об обусловленности ценностных индивида его социальным статусом, который в свою очередь связан с жизненным пространством личности. Делается вывод о наличии различий в характеристиках личностей в зависимости от социальной группы, о том, что ценностные ориентации являются отражением жизненного пространства личности. Полученные результаты имеют практическую значимость для осуществления психологического обеспечения безопасности защищаемых лиц, а также для формирования универсальной программы психокоррекционных и психопрофилактических мероприятий с разными социальными категориями.
The moral and ideological components of a person’s life principles are components of value orientations. The formation of value orientations is determined by a number of factors; in turn, value orientations influence the behavior of an individual and his social interaction. The projection of the social environment in which the individual is located on the formation of his value orientations, as well as their influence on the living space of the individual, is considered. The purpose of this article is to consider the value orientations of the protected person through the prism of their mutual influence and reflection in the social structure of the individual. The value orientations of the categories of protected persons have been studied, and the hypothesis put forward about the conditionality of an individual’s value values by his social status, which in turn is associated with the living space of the individual, has been assessed. It is concluded that there are differences in the characteristics of individuals depending on the social group, and that value orientations are a reflection of the living space of the individual. The results obtained have practical significance for the implementation of psychological security of protected persons, as well as for the formation of a universal program of psychocorrectional and psychoprophylactic measures for different social categories.
O ACERVO DE DIPTERA (INSECTA) DA UNIVERSIDADE FEDERAL DO TOCANTINS
Authors: Rodrigues Branquinho Fabíola , Kütter Krolow Tiago 
Published: April 2024

A ordem Diptera é uma das quatro ordens megadiversas de insetos que possuem o desenvolvimento holometábolo. O estudo dos dípteros é fundamental, pois suas espécies estão presentes na maioria dos ambientes e exercem papeis essenciais ao ecossistema. Apesar da evidente relevância da ordem, muitos dípteros ainda são pouco conhecidos, em sua maioria, carecem de registros de distribuição e de informações sobre suas relações com o meio ambiente. Nesse sentido, as coleções entomológicas são de extrema importância para preservação permanente dos espécimes, garantindo que futuras gerações possam acessá-los e pesquisa-los. O presente trabalho é oriundo de um projeto de iniciação cientifica (Pibic/CNPq), que teve com o objetivo inventariar as famílias de Diptera depositadas na Coleção de Entomologia da Universidade Federal do Tocantins (CEUFT) e contribuir para o preenchimento de lacunas sobre o táxon. Para a produção do inventário foram contabilizadas apenas os espécimes que estão acondicionados na coleção em via seca. A identificação foi feita ao nível de família, para isso foram utilizadas chaves taxonômicas apropriadas para Diptera. Até o momento, o acervo da CEUFT reúne 6.479 espécimes alfinetados de Diptera, distribuídos em mais de 30 famílias, das quais 22 são novos registros para o Tocantins. Adicionalmente, o acervo possui centenas de amostras em via úmida (álcool), mas que ainda aguardam pelos processos de triagem, montagem e identificação.
Palavras-chave: Moscas; Inventário; Coleção; Tocantins.
DEGRADAÇÃO AMBIENTAL NO RIBEIRÃO SÃO JOÃO, PORTO NACIONAL (TO), BACIA DO RIO TOCANTINS
Authors: Lemos Fontoura Fernanda , Barbosa Parente Ferreira Ana Luiza , Pelicice Fernando Mayer 
Published: April 2024

O Antropoceno está diretamente ligado à transgressão dos "limites planetários", valendo destacar o uso da água doce, um recurso essencial em crescente escassez e tipicamente mal gerido. O Ribeirão São João, córrego afluente da bacia Tocantins-Araguaia, localiza-se na região urbana de Porto Nacional, sendo sua principal fonte de abastecimento. Entretanto, devido à intensa pressão antrópica, esse sistema vem sofrendo crescente degradação. Este trabalho teve como objetivo avaliar os níveis de degradação ambiental da bacia, a fim de subsidiar políticas ambientais e manejo. Foram realizadas avaliações mensais entre 2021 e 2022 de uma série de parâmetros ambientais: vazão do rio, composição do substrato, cobertura de dossel, e sinais de antropização, medidos em 6 trechos diferentes do Ribeirão. O estudo detectou ampla variação espaço-temporal nos valores de vazão, contendo características que sugerem intermitência sazonal induzida por ação humana. O acúmulo de sedimentos de granulometria fina em alguns pontos indica a ocorrência de processos erosivos e assoreamento. Sinais de antropização foram identificados em todo o curso do rio, como desmatamento e poluição. Mediante a importância do manancial para o abastecimento da cidade e para a manutenção da biodiversidade, faz-se necessário o protagonismo municipal na gestão dos recursos, considerando seu avançado estado de degradação.
Experimental Investigation of Thermal Runaway in 40Ah Prismatic Lithium Batteries at Different SOC
Authors: Wei Ningning 
Published: April 2024

Abstract

With the evolution of energy storage, Thermal Runaway (TR) stands out as the most critical safety concern for Lithium-Ion Batteries (LIBs). This study employs a prismatic lithium battery with a nominal capacity of 40Ah, featuring Li(Ni0.6Co0.2Mn0.2)O2 as the cathode material. The investigation delves into the thermal runaway characteristics of the battery at 25%, 50%, 75%, and 100% State of Charge (SOC) in a nitrogen environment. The findings indicate: 1) an ascending trend in the highest temperatures at various points within the battery as SOC increases, accompanied by a declining trend in normalized gas production and a non-linear relationship between the heat released during TR and the stored electrochemical energy; 2) the highest temperature point withinthe battery consistently resides at the surface, offering insights for the temperature monitoring of the Battery Thermal Management System (BTMS); 3) a direct correlation between higher SOC and increased material ejection, with a mass loss rate of 25.8% at 100% SOC, a static total gas production of 2.45 mol, and a maximum explosion index of 0.2886 kPa⋅m⋅s⁻¹.
Simple image deconvolution based on reverse image convolution and backpropagation algorithm
Authors: Nguyen Loc 
Published: April 2024

Abstract
Deconvolution task is not important in convolutional neural network (CNN) because it is not imperative to recover convoluted image when convolutional layer is important to extract features. However, the deconvolution task is useful in some cases of inspecting and reflecting a convolutional filter as well as trying to improve a generated image when information loss is not serious with regard to trade-off of information loss and specific features such as edge detection and sharpening. This research proposes a duplicated and reverse process of recovering a filtered image. Firstly, source layer and target layer are reversed in accordance with traditional image convolution so as to train the convolutional filter. Secondly, the trained filter is reversed again to derive a deconvolutional operator for recovering the filtered image. The reverse process is associated with backpropagation algorithm which is most popular in learning neural network. Experimental results show that the proposed technique in this research is better to learn the filters that focus on discovering pixel differences. Therefore, the main contribution of this research is to inspect convolutional filters from data.
SSADLog: Whole Lifecycle Tuning Anomaly Detection with Small Sample Logs
Authors: Zhou Zhisheng , Zhou Meixiu , Wu Axin , Xia Jie , Liu Weiping 
Published: April 2024

Abstract
Log messages play a critical role in system analysis and issue resolution, particularly in complex software-intensive systems that demand high availability and quality assurance. However, log-based anomaly detection faces three major challenges. Firstly, millions of log data poses a significant labeling challenge. Secondly, log data tends to exhibit a severe class imbalance. Thirdly, the task of anomaly detection in such massive datasets requires both high accuracy and efficiency. Numerous deep learning based methods have been proposed to tackle those challenges. Yet, a comprehensive solution that effectively addresses all these issues has remained elusive. After meticulously analyzing log messages from some stable systems, we have observed a common trend: the number of unique anomaly logs is consistently small. Based on this observation, we present a novel framework called ''Whole Lifecycle Tuning Anomaly Detection with Small Sample Logs'' (SSADLog). SSADLog introduces a hyper-efficient log data pre-processing method that generates a representative subset of small sample logs. It leverages a pre-trained bidirectional encoder representations from transformers (BERT) language model to create contextual word embeddings. Furthermore, a semi-supervised fine-tuning process is employed for enhancing detection accuracy. SSADLog distinguishes itself with its capability to achieve high-performance iterations by fine-tuning language models with small size log samples. Extensive experimental evaluations show that SSADLog greatly reduces the effort to detect anomaly log messages from millions of daily new logs and outperforms the previous representative methods across various log datasets in terms of precision, recall, and F1 score.
Tunable ultrastrong magnon–magnon coupling and spin Hall magnetoresistance in a van der Waals antiferromagnet
Authors: Cubukcu Murat , Freeman Charlie , Xue Zekun , Budniak Adam , De Libero Henry , Thomson Thomas , Bosman Michel , Eda Goki , Kurebayashi Hidekazu , Youel Harry 
Published: April 2024

Abstract

Antiferromagnetic (AFM) magnons and the manipulation of magnetisation via spin currents in van der Waals (vdW) materials offer substantial potential for applications in magnonics and spintronics. In this study, we demonstrate ultrastrong magnon-magnon coupling in the GHz regime within a vdW AFM, achieving a remarkable maximum normalised coupling strength of 0.47. Our investigation unveils the tunability of coupling strength through temperature-dependent magnetic anisotropies. Additionally, we show the prospect for further enhancement to the deep-strong magnon-magnon coupling regime by manipulating the anisotropy. Furthermore, we report spin Hall magnetoresistance in a vdW AFM-based device and study the field and temperature dependence. These findings highlight the transformative potential of vdW AFMs in advancing the field of spin-based technologies.
Sustained Decreases in Peripheral Lymphocytes After Adjuvant Treatment for Early Breast Cancer
Authors: Loi Sherene , Dixon-Douglas Julia , Virassamy Balaji , Clarke Kylie , Hun Michael , Luen Stephen , Savas Peter , Geelen Courtney van , David Steven , Francis Prudence , Salgado Roberto , Michiels Stefan 
Published: April 2024

Abstract

Background: The role of adaptive immunity in long-term outcomes in early breast cancer is increasingly recognised. Standard (neo)adjuvant chemotherapy can have adverse effects on immune cells and the effect of contemporary chemotherapy regimens on long-term adaptive immune responses is not well described.
Methods: A retrospective longitudinal study of serial peripheral full blood counts (FBC) of patients from a single institution receiving (neo)adjuvant chemotherapy for early breast cancer was conducted. Flow cytometric analysis was performed for nine patients with matched pre- and post-chemotherapy peripheral blood mononuclear cell (PBMC) samples.
Results: FBC results at four timepoints spanning pre-treatment to 12 months post-treatment from 200 patients treated with (neo)adjuvant chemotherapy for early breast cancer were analyzed (62.5% hormone receptor-positive, HER-2 negative, 33% triple negative and 8% HER-2 positive). A significant decrease in absolute lymphocyte count (ALC) from baseline to 12 months post-chemotherapy was observed (p < 0.01), most pronounced in pre-menopausal patients (n=73; p < 0.01), patients receiving dose-dense chemotherapy regimens (n= 60; p < 0.01) and patients receiving adjuvant radiotherapy (n=147, p < 0.01). In premenopausal patients, a non-significant trend in the reduction of CD4+ naïve T cells and significant decreases in CD4+ T cells subsets post-chemotherapy were observed.
Conclusion: (Neo)adjuvant chemotherapy significantly reduces peripheral lymphocyte count for at least 12 months, with CD4+ T subpopulations most affected. The clinical implications of these findings in the era of immunotherapy requires further investigation to inform optimum use of chemotherapy and radiotherapy in combination with immuno-oncology strategies.
Tilde, an interdisciplinary data access solution serving GeoNet's volcano and other hazard data
Authors: D’Anastasio Elisabetta , Groom Joshua , Sherburn Steven , Houltham Jeremy , Chadwick Mark , Morris Callum , Peng Baishan , Wu Howard , Harvey Sue , Hanson Jonathan Bruce 
Published: April 2024

Abstract

Tilde is a new in-house developed solution that the GNS Science’s GeoNet programme has recently developed to provide storage and access to low sample rate datasets used to monitor tsunami, landslides and volcanoes in Aotearoa New Zealand. It includes datasets covering sample rates of minutes or longer. Time series data are stored and disseminated in JSON and CSV formats, and users can access these through an Application Programming Interface (API) and a Graphical User Interface (GUI). Tilde’s GUI was created to allow technical and non-technical users easy access to the available data. The introduction of Tilde system as one of the GeoNet programme delivery channels has represented a big step forward for GeoNet’s volcano data holdings by providing a single point to access all low to medium sample rate volcano specific monitoring data. We designed the system, developed a domain model, an API, a graphical data discovery interface and associated data tutorials. This work leverages the Open by Default data policy for data generated through the GeoNet programme. This paper is intended to highlight how we made many of the key decisions that shaped Tilde system, how they were impacted by our multi-hazard monitoring requirements and how they have improved access to volcano monitoring data. We conclude with some open questions about the need of developing common standards to share analysis-ready time series data within different disciplines in volcanology and geophysics.
Segmentation and Classification of White Blood SMEAR Images using Modified CNN Architecture
Authors: Kumar Indrajeet , Rawat Jyoti 
Published: April 2024

Abstract
The classification and recognition of leukocytes or WBCs in blood stain images present a key role in the corresponding diagnosis of specific diseases, such as leukemia, tumor, hematological disorders, etc. The segmentation & classification of WBCs nucleus sets a solid ground for automation in the calculation and recognition of WBCs related disorders. However, it is complicated by reason to causes such as background obscurity and alterations in occurrence generated by histological staining conditions. For improving the accuracy of segmentation of WBC images, we intend to consider a deep learning network using microscopic images of white blood cell. Furthermore, the functioning of the intended design will be compared with other modern methods. By the end of this study a successful model classifying various nucleus morphologies such as Basophil, Eosinophil, Lymphocyte, Monocyte and Neutrophil was obtained where overall test accuracy achieved was 97.0 % for VGGNet classifier and 94.0 % for MobileNet V2 classifier.