bluuebunny/crossref_metadata_2025 huggingface dataset:
Tourism-based development opportunities for rural areas. Example of an underdeveloped region (Siklós district)
Authors: Lempek Melissza Zita , Tésits Róbert , Hoványi Gábor
Published: November 2023

The study aims to answer the question of how effectively cities of an underdeveloped rural area (Siklós district in Hungary) can involve the surrounding settlements in the tourism economy, thereby promoting the development of rural areas. Besides local governments and tourism organisations, our important goal is to understand the ideas of service providers and their guests related to rural development, as well as the spatial use characteristics of the latter group. The key method is the questionnaire survey, targeted at the mayors of all settlements in the district, as well as the guests of the accommodations belonging to the different product types. The primary sources are based on two further series of interviews, which explore the opinions of service providers and professional organisations. Empirical experience shows that thematic trips can play a prominent role in the development of less frequented small settlements. The essence of this is to connect by a bike route the places offering traditional crafts and local products.
Cloud Computing: a tool for effective records and information management system in Nigerian academic libraries
Authors: Okuonghae Nosakhare , Bakare-Fatungase Oluwabunmi Dorcas
Published: November 2023

Academic libraries, as part of their traditional responsibility, engage in the collection and generation of data and records with a various degree of sensitivity and usefulness. This study examined the importance of library record and advocates for the implementation of cloud computing technology as a viable alternative to other mode of record storage. Cloud computing as a record management tool will help preserve the myriad of records generated from the daily activities of  libraries. The paper also identified the danger of paper or electronic method of information storage. It argued that information stored in this format is susceptible to loss by theft, fire or computer viruses, hard drive collapse as well as the destruction of local library internet server due to poor maintenance culture on the part of the personnel. Apart from the data backup function, remote accessibility of these record is another key consideration for cloud computing utility in library record management. In view of the vast potential, especially in the area of its elastic storage capability, it is highly recommended for all academic libraries in the country. However, it is observed that the cost of data and irregular power supply are some of the challenges facing its adoption in Nigeria, as along with the vulnerability to cyber-attacks which may lead to a partial or total loss of record. In these regards, it is further recommended that cloud computing, as a service platform, is adopted as a backup platform rather than a sole tool for record and data management in academic libraries.
Integrating Internet of Things (IoT) into Library and Information Science (LIS) School's Curriculum in Selected Universities in Nigeria
Authors: Awodoyin Anuoluwa , Okiki Olatokunbo
Published: November 2023

This study examined incorporating the Internet of Things (IoT) into the LIS curriculum in selected LIS schools in Southwest Nigeria. The study population comprised final students from the LIS degree program in South-west Nigeria's library and information science department. A total enumeration of respondents was used for the research. Data generated were analysed using descriptive statistics. Findings revealed that the significant technology-related courses in the curriculum of LIS are basic computer operations, web publishing, document management and computer in libraries. Undergraduates positively perceived LIS curriculum preparedness for the Internet of Things (IoT). The major problems affecting the full implementation of technology-based related courses of the LIS curriculum in selected LIS schools are a shortage of funds, lack of infrastructure, unreliable power supply, inadequate learning resources and library support. The paper recommended that the Nigerian government come forward through her agents to provide financial help to integrate the Internet of Things (IoT) into LIS schools and develop essential infrastructures that will enhance the hands-on experience for the students.LIS curriculum
Exploring the Role of Propaganda in Shaping National Identity and International Relations: A Comparative Analysis of Azerbaijan, Lithuania, and Turkey in the 21st Century
Authors: Binnatli Azer
Published: November 2023

This study investigates the application of contemporary propaganda theories in analyzing national identity and international relations in the Caspian and Baltic regions during the 21st century. Focusing on the contrasting views of Lippmann, Bernays, and Chomsky, the research explores the relevance of their approaches in the digital age and the role of propaganda in shaping public opinion in Azerbaijan, Lithuania, and Turkey. Employing qualitative methods, the study identifies the significance of Lippmannian and Bernaysian propaganda approaches in these countries, while highlighting the limitations of Chomsky’s perspective in promoting national identity-building and international relations. The research underscores the importance of critical thinking, expert guidance, and understanding the philosophical underpinnings of propaganda theories in navigating complex issues surrounding national identity and international relations. The findings contribute to a deeper understanding of the relationships between media, power, and public opinion, emphasizing the need for a context-specific approach to analyzing the role of propaganda.
Nationalism: A Theoretical Approach
Authors: Çınar Selin
Published: November 2023

The origin of the first research on the definition of nationalism dates back to the 18th century. Thus, the formation of the concept of nationalism was influenced by the Industrial Revolution, and then the concept continued to develop until today. The aim of the article is to explain the basic arguments of modernist nationalism theories and their shortcomings.
Kanta odpowiedź na pytanie: Czym jest głupota.
Authors: Pakalski Dariusz
Published: November 2023

Kant definiuje głupotę jako brak władzy sądzenia, autonomicznej władzy poznawczej, polegającej w jego systemie na umiejętności zastosowania teorii do praktyki. Władzę tę określa filozof jako rzecz wrodzoną, „szczególny talent”, którego w przeciwieństwie do teorii nie można się nauczyć. Zatem głupota nie jest jednoznaczna z brakiem wykształcenia czy wiedzy. Autor omawia Esej o schorzeniach głowy Kanta jako tekst uchodzący za analizę tej przypadłości, będący jednak w rzeczywistości klasyfikacją chorób psychicznych (przypadek polskiego „proroka” Jana Pawlikowicza Zdomozyrskich Komarnickiego oraz szwedzkiego wizjonera Emanuela Swedenborga), analizuje w tym kontekście inne artykuły i wypowiedzi filozofa oraz przedstawia konsekwencje wynikające z powyższego pojęcia głupoty w perspektywie trzech Kantowskich Krytyk. Nasuwa się wniosek, że głupota nie jest zjawiskiem uleczalnym, zatem jej problem pozostaje zawsze aktualny, stanowiąc wyzwanie dla opartego na mentalnej dojrzałości projektu Oświecenia.
Geist zu Bette
Authors: Geisenhanslüke Achim
Published: November 2023

Der Artikel widmet sich ausgehend von Hölderlins Sophokles-Übersetzungen dem Thema des Nichtwissens in der Poesie der Moderne. Anhand der Lektüre des Gedichtes 'Blödigkeit' verdeutlicht der Beitrag die Bedeutung des Nichtwissens bei Hölderlin, um auf dieser Grundlage die Modernität von Hölderlins Dichtung darzustellen.
„Ludzie wiedzy”, czyli o głupocie informacyjnego nadmiaru (na podstawie „Śmierci w starych dekoracjach” Tadeusza Różewicza i „Bouvarda i Pécucheta” Gustave’a Flauberta)
Authors: Siemaszko Piotr Tomasz
Published: November 2023

Proponowany tekst ma charakter komparatystyczny i jest częścią szerszego zamierzenia badawczego, którego celem jest, po pierwsze, identyfikacja i charakterystyka pomieszczonych w Śmierci w starych dekoracjach aluzji literackich – odniesień do literatury europejskiej i polskiej XIX i XX wieku – po drugie zaś, ukazanie związku tego tekstu z tendencjami kulturowymi właściwymi dla dojrzałej i późnej fazy modernizmu europejskiego, czyli drugiego i trzeciego progu modernizmu według terminologii Hansa Roberta Jaussa (1998: 30), szczególnie zaś namysł nad silnie eksponowanym w obu wymienionych w tytule utworach fenomenem nadmiaru wiedzy, którego konsekwencją stała się swoiście nowoczesna przypadłość, którą współczesny badacz, Matthijs van Boxsel, traktował jako jeden z nowoczesnych wariantów głupoty (Van Boxsel 2004: 256). Ten nieco paradoksalny, ponieważ nie wynikający z niedostatku, lecz z nadmiaru informacji rodzaj głupoty, ma swoje źródła w znamiennych dla wieku XIX przemianach cywilizacyjnych i kulturowych, jakimi były: reprodukcja dóbr kultury, dynamiczny rozwój prasy codziennej (jedynego wówczas masowego medium), pośpiech życia, a tym samym pośpiech lektury i pośpiech percepcji (zwracał na to uwagę m.in. Paul Valéry [1971: 185–186]), a także rozprzestrzenienie wiedzy, będącej w istocie zbiorem powierzchownych, pospiesznie spreparowanych informacji-komunałów. Proponowany artykuł stara się ukazać zarówno podobieństwa w zakresie literackich kreacji bohaterów obu utworów (ich świadomości, postaw, dylematów i aspiracji), ale też scharakteryzować kulturowe środowiska, w jakich funkcjonują, tym samym potwierdzić tezę o swoistej jednorodności i historycznej ciągłości „głupoty informacyjnego nadmiaru”, która – bez względu na czas i cywilizacyjne realia epoki – posiada te same źródła i tę samą naturę – staje się „fałszywą ofertą” dla ofiar o podobnych mentalnych predyspozycjach.
Weit über… den üblichen Rahmen hinaus
Authors: Jarecka Agata
Published: November 2023

Der Artikel analysiert die unzuverlässige Erzählung im Roman Weit über das Land (2016) des Schweizer Schriftstellers Peter Stamm.
A Review of Machine Learning Models for Harmful Algal Bloom Monitoring in Freshwater Systems
Authors: Busari Ibrahim , Sahoo Debabrata , Harmel R. Daren , Haggard Brian E.
Published: November 2023

Highlights

Machine Learning (ML) models are identified, reviewed, and analyzed for HAB predictions.

Data preprocessing is vital for efficient ML model development.

ML models for toxin production and monitoring are limited.

Abstract. Harmful algal blooms (HABs) are detrimental to livestock, humans, pets, the environment, and the global economy, which calls for a robust approach to their management. While process-based models can inform practitioners about HAB enabling conditions, they have inherent limitations in accurately predicting harmful algal blooms. To address these limitations, Machine Learning (ML) models can potentially leverage large volumes of IoT data to aid in near real-time predictions. ML models have evolved as efficient tools for understanding patterns and relationships between water quality parameters and HAB expansion. This review describes ML models currently used for predicting and forecasting HABs in freshwater ecosystems and presents model structures and their application for predicting algal parameters and related toxins. The review revealed that regression trees, random forest, Artificial Neural Network (ANN), Support Vector Regression (SVR), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU) are the most frequently used models for HABs monitoring. This review shows ML models' prowess in identifying significant variables influencing algal growth, HAB drivers, and multistep HAB prediction. Hybrid models also improve the prediction of algal-related parameters through improved optimization techniques and variable selection algorithms. While ML models often focus on algal biomass prediction, few studies apply ML models for toxin monitoring and prediction. This limitation can be associated with a lack of high-frequency toxin datasets for model development, and exploring this domain is encouraged. This review serves as a guide for policymakers and researchers to implement ML models for HAB prediction and reveals the potential of ML models for decision support and early prediction for HAB management. Keywords: Cyanobacteria, Freshwater, Harmful algal blooms, Machine learning, Water quality.
Data-Driven Retail Excellence: Machine Learning for Demand Forecasting and Price Optimization
Authors: Taparia Vinit , Mishra Piyush , Gupta Nitik , Chandiramani Hitesh
Published: November 2023

Demand forecasting and price optimization are critical aspects of profitability for retailers in a supply chain. Retailers need to adopt innovative strategies to optimize pricing and increase profitability. This research paper proposes a price optimization approach for retailers using machine learning. The approach involves using linear regression to forecast demand incorporating price as an input, followed by price optimization taking into account inventory and perishability costs. The feasibility of using linear regression for price optimization for Stock Keeping Units (SKUs) is assessed using a feasibility index. The linear regression can predict the demand more accurately (23% Mean Absoulute Percentage Error (MAPE)) compared to exponential smoothing with optimised smoothing constant (47.09% MAPE) for 1000 SKUs. Also, the feasibility index can segregate the SKUs with an accuracy of 99%. The machine learning-based demand forecasting can assist retailers in accurately predicting customer demand and improving pricing decisions, while the feasibility index enables retailers to identify SKUs that require alternative pricing strategies.
Migrant workers in Irish fisheries: exploring the contradictions through the lens of racial capitalism
Authors: Marschke Melissa , Vandergeest Peter
Published: November 2023

Exploitative working conditions for migrant workers in industrial fisheries have recently drawn considerable attention among activists and scholars, often with a focus on Asian fisheries. Even so, fish work can offer a better livelihood option than migrant workers might have in their home countries. These contradictions are apparent in fisheries around the world, including those based in Europe and North America. In this paper we explore the incongruities and patterns of working conditions for migrant workers in Irish fisheries, situating how the global seafood industry relies on a racialised labour force that is devalued to produce raw materials for high-value seafood products, before turning to an analysis of a decades-long campaign to improve Ireland’s legal framework for migrant fish workers. Persistent campaign work illustrates how a multi-pronged approach, including legal strategies and actions to make the injustices in Irish fisheries more visible, is critical to provoking change, even as working conditions remain far short of most land-based sectors in that country.
MCNN-DIC: a mechanical constraints-based digital image correlation by a neural network approach
Authors: Wang Lu , Deng Yawen , Gao Xianzhi , Liu Guangyan
Published: November 2023

Digital image correlation (DIC) is a widely used photomechanical method for measuring surface deformation of materials. Practical engineering applications of DIC often encounter challenges such as discontinuous deformation fields, noise interference, and difficulties in measuring boundary deformations. To address these challenges, a new, to the best of our knowledge, DIC method called MCNN-DIC is proposed in this study by incorporating mechanical constraints using neural network technology. The proposed method applied compatibility equation constraints to the measured deformation field through a semi-supervised learning approach, thus making it more physical. The effectiveness of the proposed MCNN-DIC method was demonstrated through simulated experiments and real deformation fields of nuclear graphite material. The results show that the MCNN-DIC method achieves higher accuracy in measuring non-uniform deformation fields than a traditional mechanical constraints-based DIC and can rapidly measure deformation fields without requiring extensive pre-training of the neural network.
Performance of modulating retro-reflector-assisted ground-HAP-satellite uplink laser communication system
Authors: Jiang Xuewen , Guo Xingyue , Wang Yi
Published: November 2023

Satellite-ground laser communication has attracted wide attention due to its advantages of rich spectrum resources, fast communication speed, strong anti-interference ability, and high security. Therefore, this paper proposes to use a modulating retro-reflector (MRR) and assemble it on the HAP to improve the performance of the ground-satellite uplink laser communication system. Since the influence of the hovering fluctuation of the HAP on the system cannot be ignored, this paper introduces the angle of arrival jitter to represent the influence of the random jitter of the HAP in the air on the channel and considers the light intensity scintillation, beam wander, atmospheric attenuation, pointing error. The combined effect of the system is analyzed. At the same time, the influence of key factors such as beam width, zenith angle, HAP position distance, wind speed, and cloud visibility on the performance of the ground-HAP-satellite system under different MRR effective areas is simulated and analyzed and compared with the ground-HAP-satellite system without MRR. The results show that the MRR-assisted ground-HAP-satellite system has better communication performance. The work of this paper provides a good theoretical basis for the engineering implementation of the MRR-assisted ground-HAP-satellite laser communication system.
Calculation of the wave aberration of an axial bundle of rays
Authors: Novák Jiří , Mikš Antonín
Published: November 2023

A differential equation is derived for the calculation of the wave aberration of an axial bundle of rays affected by spherical aberration. The solution of the derived equation is analyzed, and the influence of the radius of the reference sphere on the value of the wave aberration is presented. The approximate formula for wave aberration is obtained, which allows the splitting of the wave aberration into a part relative to an infinitely distant reference sphere and a part showing the dependence of the wave aberration on the radius of the reference sphere. Furthermore, the case of third-order and fifth-order spherical aberration is investigated, and the formulas for the calculation of the Strehl definition for the case of small aberrations are derived. The accuracy of the approximated formulas for the wave aberration is analyzed in an example.
ADMM-inspired image reconstruction for terahertz off-axis digital holography
Authors: Kirkove Murielle , Zhao Yuchen , Leblanc Olivier , Jacques Laurent , Georges Marc
Published: November 2023

Image reconstruction in off-axis terahertz digital holography is complicated due to the harsh recording conditions and the non-convexity form of the problem. In this paper, we propose an inverse problem-based reconstruction technique that jointly reconstructs the object field and the amplitude of the reference field. Regularization in the wavelet domain promotes a sparse object solution. A single objective function combining the data-fidelity and regularization terms is optimized with a dedicated algorithm based on an alternating direction method of multipliers framework. Each iteration alternates between two consecutive optimizations using projections operating on each solution and one soft thresholding operator applying to the object solution. The method is preceded by a windowing process to alleviate artifacts due to the mismatch between camera frame truncation and periodic boundary conditions assumed to implement convolution operators. Experiments demonstrate the effectiveness of the proposed method, in particular, improvements of reconstruction quality, compared to two other methods.
Highly efficient, high average power, narrowband, pump-tunable BWOPO
Authors: Mølster Kjell Martin , Guionie Marie , Mutter Patrick , Zheng Antoine , Dherbecourt Jean-Baptiste , Melkonian Jean-Michel , Délen Xavier , Zukauskas Andrius , Laurell Fredrik , Georges Patrick , Raybaut Myriam , Godard Antoine , Pasiskevicius Valdas
Published: November 2023

We demonstrate a continuously tunable mid-infrared source that produces narrowband radiation at 1981 nm and 2145 nm based on a tunable Yb-based hybrid MOPA pump and a backward-wave optical parametric oscillator (BWOPO). The BWOPO employs a PPRKTP crystal with 580 nm domain periodicity. The BWOPO has a record-low oscillation threshold of 19.2 MW/cm2 and generates mJ level output with an overall efficiency exceeding 70%, reaching an average power of 5.65W at the repetition rate of 5 kHz. The system is mechanically robust and optical cavity-free, making it suitable for spectroscopic systems on mobile platforms. The mid-infrared signal frequency is tuned by pump tuning with a linear pump-to-signal frequency translation rate close to the predicted 1 to 1.001 Hz/Hz.
Heat accumulation and phase transition induction in a VO2 thin film by a femtosecond pulse-periodic radiation
Authors: Wang Zixin , Kislyakov Ivan M. , Cao Xun , Dong Ningning , Wang Jun
Published: November 2023

The kinetics of optical switching due to the insulator–metal phase transition in a VO2 thin film is studied experimentally at different laser pulse repetition frequencies (PRFs) in the NIR range and compared with temperature kinetics obtained through the thermal conductance calculations. Two switching processes have been found with characteristic times <2 ms and <15 ms depending on the PRF; the former is explained by the accumulation of metallic domains remaining after a single-pulse phase transition, and the latter is referred to the heat accumulation in the film. Consequently, the dynamics of the microscopic domains is leading in the initiation of phase transition under pulse-periodic conditions compared to the macroscopic heat transfer. The reverse transition at the radiation turn-off depends on the PRF with a time coefficient of 17.5 µs/kHz and is determined by the metallic domains’ decay in the film. The results are important for understanding the nature of the insulator–metal transition in thin films of VO2 as well as using them in all-optical switches of pulse-periodic laser radiation.
Dual-slab Yb:KGd(WO4)2 regenerative amplifier for spectral shaping and high-power output
Authors: Tu Zhihua , Guo Jie , Gan ZeBiao , Gao ZiChen , Gao Yongxi , Huang YuGuang , Guo Wenhao , Liang XiaoYan
Published: November 2023

A high-power regenerative amplifier (RA) based on dual-slab Yb:KGd(WO4)2 (Yb:KGW) was demonstrated, which provided a maximum average power of 33.7 W at a repetition rate of 75–200 kHz before compression with a central wavelength of 1039 nm, corresponding to an optical-to-optical conversion efficiency of 51.4%. To the best of our knowledge, this is the highest average power from the Yb:KGW solid-state RA. The compressed pulse duration of 205 fs was realized under the maximum output power. By adjusting the gain of the crystals, respectively, the spectral shaping can be achieved. A combination spectrum with root-mean-square (RMS) bandwidth of 4.5 nm was generated with a central wavelength of 1035 nm at an output power of 20 W, the compressed pulse duration was 159 fs. Meanwhile, effective mitigation of thermal effects by dual-slab configuration guaranteed the nearly diffraction-limited beam quality: M
x
2 = 1.17 and M
y
2 = 1.20.
Spinning metasurface stack for spectro-polarimetric thermal imaging
Authors: Wang Xueji , Yang Ziyi , Bao Fanglin , Sentz Tyler , Jacob Zubin
Published: November 2023

Spectro-polarimetric imaging in the long-wave infrared (LWIR) region
plays a crucial role in applications from night vision and machine
perception to trace gas sensing and thermography. However, the current
generation of spectro-polarimetric LWIR imagers suffers from
limitations in size, spectral resolution, and field of view (FOV).
While meta-optics-based strategies for spectro-polarimetric imaging
have been explored in the visible spectrum, their potential for
thermal imaging remains largely unexplored. In this work, we introduce
an approach for spectro-polarimetric decomposition by combining
large-area stacked meta-optical devices with advanced computational
imaging algorithms. The co-design of a stack of spinning dispersive
metasurfaces along with compressive sensing and dictionary learning
algorithms allows simultaneous spectral and polarimetric resolution
without the need for bulky filter wheels or interferometers. Our
spinning-metasurface-based spectro-polarimetric stack is compact (<10×10×10cm) and robust, and it offers a wide
field of view (20.5°). We show that the spectral resolving power of
our system substantially enhances performance in machine learning
tasks such as material classification, a challenge for conventional
panchromatic thermal cameras. Our approach represents a significant
advance in the field of thermal imaging for a wide range of
applications including heat-assisted detection and ranging
(HADAR).
Fiber-Interferometric Second Harmonic Generator with Dual-Color Standard Quantum-limited Noise Performance
Authors: Edelmann Marvin , Pergament Mikhail , Hua Yi , Malekmohamadi Sedigheh , Kaertner Franz
Published: November 2023

We present a novel experimental fiber-interferometric device that achieves dual functionality: simultaneous amplification of the pulsed input signal and generation of its second harmonic while effectively suppressing the intensity noise in both modes, reaching the standard quantum-limit. The underlaying mechanism is based on phase-biased nonlinear polarization rotation coupled with type-I phase-matched second harmonic generation, a concept that is both theoretically investigated and experimentally verified. In the experiment, a fiber-optic system is constructed capable of generating 42 MHz ultra-low noise sub-150 fs output pulse trains simultaneously at 1030 nm and 515 nm, with average powers of 160 mW and 42 mW, respectively. Systematic frequency-resolved intensity noise measurements confirm dual wavelength, quantum-limited noise suppression beyond 100 kHz offset-frequency, with suppression levels up to 14 dB, showing correlation with local maxima in average power in both fundamental and second harmonic mode.
Relationship between ocular surface temperature and 0.1% cyclosporine a in dry eye syndrome with meibomian gland dysfunction
Authors: Lee Donghun , Lee Geun Woo , Yoon Sook Hyun
Published: November 2023

To determine the relationship between ocular surface temperature (OST) and 0.1% cyclosporine A in patients with dry eye syndrome and meibomian gland dysfunction (MGD). This study retrospectively analyzed 35 eyes from 18 patients with dry eye disease (DED) and MGD, who were divided into two groups. Group 1 was treated with artificial tears, and eyelid margin scrubs without anti-inflammatory eye drops, while group 2 received the same treatment as group 1 along with 0.1% cyclosporine A. The ocular surface disease index (OSDI), tear meniscus height (TMH), noninvasive tear breakup time (NIBUT), lipid layer thickness (LLT), meibum quality score (MQS), and OST were measured at baseline and 1 month later. Nineteen and 16 eyes were included in groups 1 and 2, respectively. Both groups showed a significant decrease in OSDI and OST; however, the decrease was more significant in group 2. No other significant differences in TMH, NIBUT, and LLT were observed; however, MQS significantly differed in group 2. This study found that 0.1% CsA administration can relieve symptoms in patients with DED and MGD although there were no definite keratitis clues, such as epithelial erosion. In addition, the conjunctival temperature showed a correlation with symptom improvement.
Metabolomics analysis of pathways underlying radiation-induced salivary gland dysfunction stages
Authors: Buss Lauren G. , De Oliveira Pessoa Diogo , Snider Justin M. , Padi Megha , Martinez Jessica A. , Limesand Kirsten H.
Published: November 2023

Salivary gland hypofunction is an adverse side effect associated with radiotherapy for head and neck cancer patients. This study delineated metabolic changes at acute, intermediate, and chronic radiation damage response stages in mouse salivary glands following a single 5 Gy dose. Ultra-high performance liquid chromatography-mass spectrometry was performed on parotid salivary gland tissue collected at 3, 14, and 30 days following radiation (IR). Pathway enrichment analysis, network analysis based on metabolite structural similarity, and network analysis based on metabolite abundance correlations were used to incorporate both metabolite levels and structural annotation. The greatest number of enriched pathways are observed at 3 days and the lowest at 30 days following radiation. Amino acid metabolism pathways, glutathione metabolism, and central carbon metabolism in cancer are enriched at all radiation time points across different analytical methods. This study suggests that glutathione and central carbon metabolism in cancer may be important pathways in the unresolved effect of radiation treatment.
Older adults’ perspectives on physical activity and sedentary behaviour within their home using socio-ecological model
Authors: Meghani Naureen Akber Ali , Hudson Joanne , Stratton Gareth , Mullins Jane
Published: November 2023

Background

There are few studies that focus explicitly on the impact of the home environment on older adults’ sedentary behaviour (SB) and physical activity (PA) using the socio-ecological model (SEM). This study aims to investigate older adults’ PA and SB within the home environment integrating the SEM as a theoretical framework.

Methods

A qualitative exploratory research design was employed to conduct 33 in-depth interviews (IDIs) and five focus group (FGs; n = 16) with multi-diverse ethnic older adults (mean age 72±5 years). Using reflexive thematic analysis themes were generated from the data set and were interpreted using the SEM.

Results

The findings indicate that different levels of the SEM had an impact on older adults’ PA and SB. These include the 1) Individual level: Attitude, perception and motivation 2) Interpersonal level: Family and Friends: a motive to remain active 3) Organisational level: healthcare institutes, 4) Community level factors: Significance of social groups, 5) Physical Environment: Microenvironment and 6) Policy level factors (lockdown restrictions and healthcare system). This model can be utilised to foster activity within the home by focusing on the facilitators and barriers identified at each of these levels of influence.

Conclusion

The study findings suggest that modifying PA and SB in the home environment is complex and is influenced across different levels of the SEM. Therefore, a holistic approach is required that integrates these multiple influences. This understanding can inform the design of interventions that seek to optimize PA and minimize SB within the home environment.
Oligodendrocyte-derived IL-33 functions as a microglial survival factor during neuroinvasive flavivirus infection
Authors: Norris Geoffrey T. , Ames Joshua M. , Ziegler Steven F. , Oberst Andrew
Published: November 2023

In order to recover from infection, organisms must balance robust immune responses to pathogens with the tolerance of immune-mediated pathology. This balance is particularly critical within the central nervous system, whose complex architecture, essential function, and limited capacity for self-renewal render it susceptible to both pathogen- and immune-mediated pathology. Here, we identify the alarmin IL-33 and its receptor ST2 as critical for host survival to neuroinvasive flavivirus infection. We identify oligodendrocytes as the critical source of IL-33, and microglia as the key cellular responders. Notably, we find that the IL-33/ST2 axis does not impact viral control or adaptive immune responses; rather, it is required to promote the activation and survival of microglia. In the absence of intact IL-33/ST2 signaling in the brain, neuroinvasive flavivirus infection triggered aberrant recruitment of monocyte-derived peripheral immune cells, increased neuronal stress, and neuronal cell death, effects that compromised organismal survival. These findings identify IL-33 as a critical mediator of CNS tolerance to pathogen-initiated immunity and inflammation.
Tecnologías emergentes para el proyecto de educación digital:
Authors: Simón-Sánchez María-Teresa , Fernández-Sánchez María-Rosa
Published: November 2023

La popularidad de la Realidad Aumentada en los últimos años no ha pasado inadvertida por parte de las Humanidades Digitales e instituciones culturales. Constituye un medio alternativo e innovador para acercar el conocimiento, desarrollando un aprendizaje significativo, interactivo y contextualizado sobre el patrimonio. En el ámbito educativo, se identifica cada vez un interés mayor, situándolo como uno de los recursos de futuro en los Proyectos de Educación Digital de los centros. El presente trabajo reflexiona acerca del alcance educativo de la Realidad Aumentada en los procesos de enseñanza y aprendizaje del patrimonio histórico-cultural. Como propuesta metodológica se ha realizado una Revisión Sistematizada de la Literatura comprendida entre los años 2016 y 2021. Tomando como referencia el protocolo PRISMA 2020, acompañado del marco metodológico SALSA, han sido analizados un total de 35 artículos académicos recopilados de las bases de datos Web of Science y Scopus. Se han analizado las líneas de investigación existentes, los contextos de aplicación y técnicas de implementación, los perfiles participantes y las contribuciones socioeducativa en este campo de conocimiento. Como conclusión, se reafirma el potencial didáctico y divulgativo del uso de la Realidad Aumentada en el aprendizaje del patrimonio a nivel cultural, histórico y material.
Are there gender-based differences in students’ STEAM experience?
Authors: Martínez Gómez María del Rosario , Kolawole Fiyin Ebenezer
Published: November 2023

Behavioral and physiological differences between genders are among the justifications that have been provided for co-education. It is also one of the factors attributed to gender disparity in STEAM. While it can be difficult to measure the causes and indicators of gender disparity in primary education, Gimnasio Vermont (GV) learning system is a laboratory wherein the differences between boys’ and girls’ experiences can be documented as they are taught in different classrooms with the same standards. We studied these possible differences in our delivery of STEAM by inviting a population of 250 students to a survey on their STEAM experience, of which, 207 responded. 95 of the responses were received from female students while 115 were received from male students. We discovered that boys were 9 times more likely to identify Math as a subject applied in STEAM than girls, twice the number of boys also identified Technology as another subject they applied in STEAM than girls; while the differences in other subject are slight, girls took the lead in their recognition of science, engineering, arts and sustainability as subjects they applied in STEAM. Our inferential test showed that the differences between the emotions boys and girls associated with STEAM is insignificant. We aim to continue researching and improving the visibility of engineering and sustainability and compare parents’ and teachers’ perspectives to students' responses over time.
Parathyroid carcinoma case-report in a patient with multinodular goiter and chronic kidney disease: difficulties in diagnosis and treatment (observation from practice)
Authors: Averkina A. A. , Zolotareva R. A. , Kim I. V. , Bondarenko E. V. , Abrosimov A. Yu. , Degtyarev M. V. , Mamedova E. O. , Belaya Zh. E. , Rozhinskaya L. Ya.
Published: November 2023

We would like to present a clinical case of severe primary hyperparathyroidism due to a parathyroid carcinoma of atypical location in a patient with chronic kidney disease of complex etiology and multinodular goiter. Patient S., 59 years old, was followed-up for a long time in tertiary referral hospitals for “chronic tubulointerstitial nephritis with nephrosclerosis”, secondary hyperparathyroidism due to chronic kidney disease (CKD) G3–4, osteoporosis, and a multinodular euthyroid colloid goiter. In July 2021 she was referred to the Endocrinology Research Centre in order to clarify the diagnosis because of the persistence of an extremely high level of parathyroid hormone (PTH) despite cinacalcet treatment. During examination, primary hyperparathyroidism, a left parathyroid gland lesion, multinodular goiter with subclinical thyrotoxicosis, and vitamin D deficiency were diagnosed. After the removal of the left parathyroid gland lesion (histologically confirmed parathyroid carcinoma) and a left-sided hemithyroidectomy, hypocalcemia («hungry bone syndrome») developed, but the level of parathyroid hormone remained elevated. After 3–18 months after surgery, no data for relapse of primary hyperparathyroidism was obtained. The persistent moderate increase in PTH was regarded as secondary hyperparathyroidism in CKD and hypocalcemia. Complex therapy of osteoporosis with the antiresorptive drug denosumab, vitamin D and its active metabolite, calcium preparations, and parathyroidectomy led to a significant increase in bone mineral density (BMD) and no repeated fractures 18 months after surgery.

Conclusion. In patients with pre-dialysis CKD and high PTH levels, it is necessary to make a differential diagnosis between primary (PHPT) and secondary hyperparathyroidism (SHPT). Severe manifestations of primary hyperparathyroidism can be suspicious for parathyroid carcinoma.
Tempo de Estudo e Desempenho Acadêmico: O Nível de Aprendizagem Autorregulada e a Síndrome do Impostor Importam?
Authors: Silva Thiago Bruno de Jesus , Sousa Allison Manoel de , Simão Fagner Martins
Published: November 2023

Objetivo: Investigar o efeito do tempo de estudo no desempenho acadêmico, mediado pelo nível de uso de estratégia de aprendizagem autorregulada e a síndrome do impostor, de estudantes do curso de graduação em ciências contábeis.
Método: A amostra foi composta por 330 questionários válidos de alunos do curso de graduação em ciências contábeis de três universidades federais distintas e analisada por meio da análise fatorial confirmatória e modelo de equações estruturais.
Resultados: Aumentar o tempo de estudo não implica no aumento do desempenho acadêmico, mas apenas quando mediado pelo nível do uso de estratégias de aprendizagem autorregulada. Assim, o tempo de estudo implica de forma indireta por meio diretamente aprendizagem autorregulada no desempenho acadêmico. Descobriu-se ainda que a síndrome do impostor não é um fator que medeia a relação entre o tempo de estudo e desempenho acadêmico.
Contribuições: Constata-se empiricamente que o nível de utilização da estratégia de aprendizagem autorregulada é um fator que leva o tempo de estudo a impactar positivamente no desempenho acadêmico. Além disso, elucida-se aos estudantes de graduação em ciências contábeis que para o tempo de estudo ser eficaz com o propósito de alcançar maior desempenho acadêmico é necessário aumentar o próprio nível de aprendizagem autorregulada.
Indústria 4.0: Características e Potenciais Impactos no Ambiente Interno das Empresas
Authors: Guerreiro Reinaldo , Ventura Amaral Juliana , Tadeu Russo Paschoal , Magalhães Mucci Daniel
Published: November 2023

Objetivo: Analisar os elementos estruturantes da Indústria 4.0 e refletir sobre os seus potenciais impactos no ambiente de negócios e no ambiente interno das empresas de manufatura utilizando como base a abordagem dos subsistemas organizacionais proposto por Guerreiro (1989).
Metodologia: Este trabalho caracteriza-se como bibliográfico e descritivo, pauta-se nas características da Indústria 4.0. e nas implicações para o ambiente interno das organizações a partir de evidências de estudos anteriores.
Resultados: Está em curso a quarta revolução industrial, que começou no início do terceiro milênio com o advento da Internet e que tem provocado mudanças nas formas de produção e nos modelos de negócios das empresas. O estudo discute diferentes tipos de tecnologias que afetam cada um dos subsistemas como: Subsistema institucional (crenças e valores da indústria 4.0), Subsistema Social (competências digitais e de automação, liderança mediada por realidade virtual e aumentada), Subsistema Organizacional (integração de cadeia de valor, estruturas complexas e autônomas), Subsistema de Gestão (processo decisório de máquina, inteligência artificial), Subsistema de Informações (big data, sistemas autônomos, computação na nuvem), Subsistema Físico-Operacional (novos insumos físicos, biológicos e digitais, novas tecnologias produtivas como robôs autônomos, Automação de Processos, Sistema Integrado Máquina a Máquina e impressão 3D).
Contribuições: A principal contribuição deste trabalho é a análise dos elementos da Indústria 4.0, bem como a avaliação do impacto dessa revolução tecnológica e de negócios, nos diversos subsistemas empresariais. Complementarmente, do ponto de vista acadêmico, este trabalho pode se constituir em uma plataforma conceitual sobre o tema para orientar futuros estudos empíricos.
Controles Culturais e Mídias Sociais Instigam a Inovação Organizacional em Startups?
Authors: Beuren Ilse Maria , Mannes Silvana
Published: November 2023

Objetivo: Este artigo examina o papel dos controles culturais e das mídias sociais na inovação organizacional em startups. De forma complementar, analisa o possível efeito moderador da criatividade individual na relação entre mídias sociais e inovação organizacional.
Método: Uma survey foi realizada com 110 gestores de startups incubadas em incubadoras brasileiras. Para a análise dos dados foi utilizada a técnica de modelagem de equações estruturais por mínimos quadrados parciais.
Resultados: Os resultados demonstram que os controles culturais não apresentam efeitos diretos na inovação organizacional, porém, efeitos indiretos são encontrados. Por sua vez, as mídias sociais revelam exercer papel mediador nesta relação, além de efeito direto na inovação organizacional. Em contraste, a criatividade individual não demonstra efeito moderador na relação entre mídias sociais e inovação organizacional.
Contribuições: Os achados contribuem para a literatura ao demonstrar empiricamente possíveis impulsionadores da inovação organizacional, com destaque para as mídias sociais que demonstrou interferir na magnitude da relação entre controle cultural e inovação organizacional e efeito direto na inovação organizacional. Esta descoberta tem importantes implicações na prática gerencial em ambientes que tem no cerne de sua existência a inovação, como no caso de startups, visto que proporciona uma melhor compreensão do papel das mídias sociais na promoção da inovação.
Fluxo de Caixa Descontado: Aspectos Teóricos e Práticos na sua Utilização
Authors: Silva César Augusto Tibúrcio
Published: November 2023

Objetivo: Este texto apresenta uma análise aprofundada sobre os aspectos teóricos e práticos do método do fluxo de caixa descontado e sua aplicabilidade em processos de avaliação. 
Método: Por ser um artigo teórico, o mesmo se vale de uma extensa literatura e conhecimento acumulado pelo autor ao longo dos anos, muito dele em disciplinas de graduação e pós-graduação.
Resultados ou Discussão: Após uma minuciosa exploração dos dois pilares do método - a taxa de desconto e o fluxo de caixa – torno evidente que os principais métodos amplamente adotados na literatura oferecem resultados consistentes, sustentados por fundamentos teóricos sólidos.  Trago uma discussão cr´ıtica sobre três aspectos cruciais para a aplicação prática deste método. O primeiro aspecto destaca o uso de múltiplos, revelando como essa abordagem pode,  em certos casos,  introduzir distorções significativas nos resultados de avaliação. Em seguida, abordo a questão do custo de capital do fluxo de caixa livre, demonstrando a importância de calcular essa métrica com base correta, usando valores de mercado, em vez de se ater a valores históricos. Por fim, exploro como o método pode ser efetivamente utilizado no processo de criação de valor, ressaltando como essa capacidade pode ser percebida por meio das expressões genéricas do método.  
Contribuições: Fica claro que, apesar dos avanços na pesquisa, ainda há  amplo espaço na literatura para uma an´álise mais detalhada e específica dos desafios e oportunidades associados ao uso do fluxo de caixa descontado. Este texto reforc¸a a importância contínua dessa abordagem no campo da avaliação financeira e destaca a necessidade de aprimoramento constante para garantir resultados sólidos e confiáveis.
Does Diversification and Restructuring Reduce Non-Performing Financing?
Authors: Linda Meilani  , Hasanah Listiyanti  , Rizki Dwi Safitri  , Hamas Mahfudz El-fath
Published: November 2023

Research Aims: This research aims to identify the influence of MSMEs and non-MSMEs financing diversification, as well as financing restructuring, on non-performing financing (NPF).
Methodology: This study utilizes a quantitative research method with secondary data, including Asset Quality Reports and Financial Ratio Reports accessed through the Financial Services Authority (OJK) from 2018 to 2022 for 10 Islamic commercial banks in Indonesia on a quarterly basis. Non-Probability Sampling was used as the sampling technique, and data analysis was conducted using panel regression with the Fixed Effect Model through Eviews 12 software.
Research Findings: The empirical results indicate that both MSMEs and non-MSMEs credit diversification do not have a significant impact on reducing credit risk in Islamic banks in Indonesia. However, restructuring has an impact on non-performing financing in Islamic banks in Indonesia.
Theoretical Contribution: This study contributes to the literature by examining the relationship between diversification of MSME and non-MSME financing and financing restructuring. With this research, it is hoped that Islamic banks will pay more attention to minimizing problematic financing to maintain the stability of their financial performance.
Research limitation and implication: In practical terms, these findings suggest that policymakers may consider implementing a concentration strategy for financing in specific sectors. If diversification is to be continued, further policy adjustments may be necessary.
Política criminal y delitos sexuales: hacia un enfoque que supere el feminismo punitivo.
Authors: Pérez Machío Ana I.
Published: November 2023

El presente artículo aborda la deriva que la criminalización de los delitos sexuales ha venido adquiriendo en el marco del Código Penal español. Partiendo de una primera aproximación a las reformas sustantivas incorporadas tras la entrada en vigor del Código Penal de 1995, se pone especial atención, en las últimas modificaciones operadas por las Leyes Orgánicas 10/2022 y 4/2023, en un intento de confirmar cómo incide el denominado “Feminismo punitivo” en la actual política-criminal de los delitos sexuales, tratando, igualmente, de aportar propuestas que superen esta tendencia, en favor de la protección y tutela de las víctimas de esta clase de delitos.
Aproximación a la aplicación de sistemas de inteligencia artificial para prevenir la corrupción en la administración pública
Authors: Domingo Jaramillo Cristina
Published: November 2023

Los efectos que la corrupción pública tiene en el entramado social, político y económico de un país son devastadores. La Administración es un ámbito caracterizado por la opacidad y el secretismo, por lo que los delitos cometidos en el seno de la misma suelen quedar ocultos. Por ese motivo, es necesario establecer sistemas de detección precoz de tales ilícitos, con el fin de poder prevenirlos. En dicho sentido, la Inteligencia Artificial aparece como una herramienta que puede contribuir a este objetivo. De modo que, en la presente investigación se analiza el potencial que los sistemas inteligentes tienen en la lucha contra la corrupción pública, a través de una revisión bibliográfica del análisis de aquellos estudios que han puesto en marcha dichos sistemas para combatir la corrupción.