bluuebunny/crossref_metadata_2025 huggingface dataset:
Combining Heart Rate Variability and Oximetry to Improve Apneic Event Screening in Non-Desaturating Patients
Authors: Martín-González Sofía , Ravelo-García Antonio G. , Navarro-Mesa Juan L. , Hernández-Pérez Eduardo
Published: April 2023

In this paper, we thoroughly analyze the detection of sleep apnea events in the context of Obstructive Sleep Apnea (OSA), which is considered a public health problem because of its high prevalence and serious health implications. We especially evaluate patients who do not always show desaturations during apneic episodes (non-desaturating patients). For this purpose, we use a database (HuGCDN2014-OXI) that includes desaturating and non-desaturating patients, and we use the widely used Physionet Apnea Dataset for a meaningful comparison with prior work. Our system combines features extracted from the Heart-Rate Variability (HRV) and SpO2, and it explores their potential to characterize desaturating and non-desaturating events. The HRV-based features include spectral, cepstral, and nonlinear information (Detrended Fluctuation Analysis (DFA) and Recurrence Quantification Analysis (RQA)). SpO2-based features include temporal (variance) and spectral information. The features feed a Linear Discriminant Analysis (LDA) classifier. The goal is to evaluate the effect of using these features either individually or in combination, especially in non-desaturating patients. The main results for the detection of apneic events are: (a) Physionet success rate of 96.19%, sensitivity of 95.74% and specificity of 95.25% (Area Under Curve (AUC): 0.99); (b) HuGCDN2014-OXI of 87.32%, 83.81% and 88.55% (AUC: 0.934), respectively. The best results for the global diagnosis of OSA patients (HuGCDN2014-OXI) are: success rate of 95.74%, sensitivity of 100%, and specificity of 89.47%. We conclude that combining both features is the most accurate option, especially when there are non-desaturating patterns among the recordings under study.
Using Brainwave Patterns Recorded from Plant Pathology Experts to Increase the Reliability of AI-Based Plant Disease Recognition System
Authors: Meir Yonatan , Barbedo Jayme Garcia Arnal , Keren Omri , Godoy Cláudia Vieira , Amedi Nofar , Shalom Yaar , Geva Amir B.
Published: April 2023

One of the most challenging problems associated with the development of accurate and reliable application of computer vision and artificial intelligence in agriculture is that, not only are massive amounts of training data usually required, but also, in most cases, the images have to be properly labeled before models can be trained. Such a labeling process tends to be time consuming, tiresome, and expensive, often making the creation of large labeled datasets impractical. This problem is largely associated with the many steps involved in the labeling process, requiring the human expert rater to perform different cognitive and motor tasks in order to correctly label each image, thus diverting brain resources that should be focused on pattern recognition itself. One possible way to tackle this challenge is by exploring the phenomena in which highly trained experts can almost reflexively recognize and accurately classify objects of interest in a fraction of a second. As techniques for recording and decoding brain activity have evolved, it has become possible to directly tap into this ability and to accurately assess the expert’s level of confidence and attention during the process. As a result, the labeling time can be reduced dramatically while effectively incorporating the expert’s knowledge into artificial intelligence models. This study investigates how the use of electroencephalograms from plant pathology experts can improve the accuracy and robustness of image-based artificial intelligence models dedicated to plant disease recognition. Experiments have demonstrated the viability of the approach, with accuracies improving from 96% with the baseline model to 99% using brain generated labels and active learning approach.
HFR-Video-Based Stereo Correspondence Using High Synchronous Short-Term Velocities
Authors: Li Qing , Hu Shaopeng , Shimasaki Kohei , Ishii Idaku
Published: April 2023

This study focuses on solving the correspondence problem of multiple moving objects with similar appearances in stereoscopic videos. Specifically, we address the multi-camera correspondence problem by taking into account the pixel-level and feature-level stereo correspondences, and object-level cross-camera multiple object correspondence. Most correspondence algorithms rely on texture and color information of the stereo images, making it challenging to distinguish between similar-looking objects, such as ballet dancers and corporate employees wearing similar dresses, or farm animals such as chickens, ducks, and cows. However, by leveraging the low latency and high synchronization of high-speed cameras, we can perceive the phase and frequency differences between the movements of similar-looking objects. In this study, we propose using short-term velocities (STVs) of objects as motion features to determine the correspondence of multiple objects by calculating the similarity of STVs. To validate our approach, we conducted stereo correspondence experiments using markers attached to a metronome and natural hand movements to simulate simple and complex motion scenes. The experimental results demonstrate that our method achieved good performance in stereo correspondence.
Simulation Optimization and Application of Shearer Strapdown Inertial Navigation System Modulation Scheme
Authors: Wu Gang , Fang Xinqiu , Song Yang , Chen Ningning , Liang Minfu , Li Jiaxuan , Qiao Fukang
Published: April 2023

The operating attitude of a shearer based on a three-dimensional (3D) space scale is the necessary basic information for realizing intelligent mining. Aiming to address the problem of the insufficient perception accuracy of shearers, in this paper, the rotation model of the actual turning mechanism of the strapdown inertial navigation system (SINS) of shearers is established, and the error propagation characteristics of different single-axis rotation modulation schemes are revealed. Through theory and simulation, the optimal rotation modulation scheme is determined to be the improved four-position turn–stop modulation with a rotation of <360°. The experiment shows that the 24 h positioning error of this scheme is 3.7 nmile, and the heading angle changes by 0.06°, which proves that this scheme can effectively improve the attitude perception accuracy of the inertial navigation system (INS). The field application of the shearer operating attitude perception based on this scheme shows that the positioning error after error compensation is 17% of that before compensation, and the heading angle error is 75% of that before compensation, which verifies that this scheme can significantly improve the accuracy of shearer operating attitude perception in field applications. This scheme can achieve higher precision perception accuracy based on SINS and has broad application prospects in the field of high-precision pose perception of coal mining machines, roadheaders, and other equipment.
A Review of the Theory and Practice of Smart City Construction in China
Authors: Liu Zhengrong , Wu Jianping
Published: April 2023

The construction of smart cities is an imperative trend for high-quality urban development and represents a crucial solution to various problems that afflict urbanization, such as population growth pressure, resource scarcity, environmental degradation, and economic frailty. To create a smart city, it is essential to gain a profound understanding of the evolution and experiences of urban development and have a clear grasp of the concept, emphasis, and developmental trajectory of smart cities. However, previous research and theoretical frameworks have mainly focused on the digital transformation of cities, the application of new generation information technologies, and the comprehensive intelligence of cities, neglecting the fundamental positioning and value of cities, which is the people’s central position and pursuit of happiness. This has led to many situations where intelligence is pursued for the sake of intelligence, resulting in inefficient use and allocation of resources. This paper puts forth a framework for the three generations of smart city construction and their meanings at the conceptual level, conducts an in-depth analysis of the development process and challenges of smart cities in China, and provides suggestions for improvement.
Water Safety and Water Governance: A Scientometric Review
Authors: Aguirre Kelly Andrea , Paredes Cuervo Diego
Published: April 2023

Water safety and water governance are critical concerns, as water is a vital and finite resource that is essential for ecological processes, human survival, and economic and social development, requiring collaborative and coordinated work of all related actors. The subject literature is scattered and fragmented, making it difficult to identify the key contributions and understand the current state of research; however, these considerations are an increasing preoccupation. To address this issue, a scientometric analysis was conducted in this work to identify the main contributions in the field. The methodology of the research was divided into two sections: the first section presents a scientometric mapping, including an analysis of scientific production by country, journal, and author. The second section identified the main theoretical contributions through the use of the Tree of Science metaphor. The main subfields identified include social governance structures and capacities, drinking water management, and socio-hydrogeology and collaborative governance. This research provides valuable insights for decision makers to develop and promote effective strategies to improve water safety and participatory efforts.
Governmental Strategies and Policies in the Projection of Smart Tourist Destination: An Approach to the Conceptual and Theoretical Qualitative Analysis
Authors: Verduzco Villaseñor María del Carmen , Cornejo Ortega José Luis , Espinoza Sánchez Rodrigo
Published: April 2023

This study aimed to carry out an approach for a conceptual and theoretical analysis of governmental strategies and policies to project whether a tourist destination is smart or intelligent. Governments, those responsible for planning the development of a country, have been looking for new mechanisms for the development of the tourism sector after the uncertainty caused by the global health crisis. From the theoretical perspective, the Smart Tourist Destination (STD) concept could be a mechanism or strategy that strengthens the development of tourism in its different typologies in each tourist region. The COVID-19 pandemic generated discouraging scenarios in destinations where tourism is the main activity; however, at the same time, it highlighted important aspects to consider in order to prevent this type of situation. Local governance, which acts as a catalytic instrument in promoting tourism, is a central factor in diversifying tourism from a sustainable perspective, in which local actors can be involved to satisfy the demand of tourists or visitors to the destination. The methodology used was qualitatively based on the technique of content analysis of thematic literature review using databases, scientific journals, books, book chapters, websites, Web of Science (WoS), Scopus databases, among others. The main results of the research show that there are different strategies and government policies that have served as the basis for the promotion of smart tourist destinations in other tourist regions of the world, and where interconnected collaboration in networks using technology is the basis of this intelligence in action to offer the tourism products of destinations.
Impact of Innovation and Exports on Productivity: Are There Complementary Effects?
Authors: Petković Saša , Rastoka Jelica , Radicic Dragana
Published: April 2023

The relationship between firms’ exports and increases in productivity is generally regarded as positive. While the causal effects of process innovation are straightforward and positive, the effect of product innovation on productivity is ambiguous. However, there is a lack of empirical evidence on a joint effect that innovation and exports have on firms’ productivity. In our attempt to fill this gap, we explore individual and joint effects of innovation and exports on productivity by employing cross-sectional firm-level data. We use the sixth wave of the Business Environment and Enterprise Performance Survey (BEEPS VI: 2018–2020) conducted by the EBRD and the World Bank. Using a stratified random sampling, the data was collected from interviews with representatives of randomly chosen firms from 32 countries. The overall results suggest that exporting firms are more productive than non-exporters, while the impact of innovation is more heterogeneous. Whereas EU and high-income countries reap the productivity benefits, this effect is absent in other regions and countries with medium and low-income levels. Finally, our results indicate the absence of a joint effect of innovation and exports on productivity, across different geographical regions and countries of different income levels.
Empowering End-of-Life Vehicle Decision Making with Cross-Company Data Exchange and Data Sovereignty via Catena-X
Authors: Mügge Janine , Grosse Erdmann Julian , Riedelsheimer Theresa , Manoury Marvin Michael , Smolka Sophie-Odette , Wichmann Sabine , Lindow Kai
Published: April 2023

The mobility sector is the world’s second-largest producer of energy-related CO2 emissions, and it is facing a global resource shortage. The demand for circular products, the use of secondary materials in future vehicles, and the need for sustainable business models in the mobility sector is increasing. However, a transparent and end-to-end data exchange throughout the entire value network is missing, which is hindering an efficient circular economy. Relevant information on the vehicle, its components, and materials at the end of the product life cycle are often missing. In this context, this paper presents a decision support system based on Digital Twin data for a circular economy solution as a software application. It was developed within the German research project Catena-X following an integrated approach of user-centered design, the V-model, and within the Scaled Agile Framework. By combining these methodological approaches, customer-oriented solutions were developed and continuously improved at each stage of development to shorten the time-to-market. Catena-X is based on Gaia-X principles. In Gaia-X, necessary core services are developed, and contraction negotiation for data exchange and usage policies is enabled and implemented. The decision support system provides important information about the exact composition and condition of the vehicle, its components, and its materials. Thus, it helps to improve efficiency, sustainability, and the implementation of the circular economy. The decision support system was tested and validated with a use case that provided Digital Twin data on the end-of-life vehicle.
Comparing the Efficiency of Two Types of Yard Layout in Container Terminals
Authors: Zhang Xiaoju , Gu Yue , Yang Yuqing , Liu Baoli
Published: April 2023

Traditional container terminals usually use a horizontal yard layout, while automated container terminals usually use a vertical yard layout. The two types of yard layout perform differently in the vehicle travel routes, the handling interface points of vehicles and yard cranes, and the yard cranes travel routes. These differences result in the different indicators between the two types of yard layout, such as yard utilization, average vehicle travel routes, average yard crane travel distance, and overall terminal efficiency etc. This paper uses an analytic method to quantify these indicators of the two types of yard layout. Based on the analysis results, the terminal efficiency is approximated by a queuing network from the overall operations. In the experiment studies, we first evaluate the indicators of the two types of yard layout, respectively. Then, we change the length and width of the yard to compare the efficiency of the two types of yard layout in various yard sizes. Finally, the overall terminal efficiency is compared. Results show that the overall efficiency is significantly affected by the service rate of yard cranes. The results in this paper may provide references for terminal yard design.
Lorentz Violation in Finsler Geometry
Authors: Zhu Jie , Ma Bo-Qiang
Published: April 2023

Lorentz invariance is one of the foundations of modern physics; however, Lorentz violation may happen from the perspective of quantum gravity, and plenty of studies on Lorentz violation have arisen in recent years. As a good tool to explore Lorentz violation, Finsler geometry is a natural and fundamental generalization of Riemann geometry. The Finsler structure depends on both coordinates and velocities. Here, we simply introduce the mathematics of Finsler geometry. We review the connection between modified dispersion relations and Finsler geometries and discuss the physical influence from Finsler geometry. We review the connection between Finsler geometries and theories of Lorentz violation, such as the doubly special relativity, the standard-model extension, and the very special relativity.
Secure Steganographic Cover Generation via a Noise-Optimization Stacked StyleGAN2
Authors: Yu Jiang , Zhou Xiaoyi , Si Wen , Li Fengyong , Liu Cong , Zhang Xinpeng
Published: April 2023

Recently, the style-based generative adversarial network StyleGAN2 yields state-of-art performance on unconditional high-quality image synthesis. However, from the perspective of steganography, the image security is not guaranteed during the image synthesis. Relying on the optimal properties of StyleGAN2, this paper proposes a noise-optimization stacked StyleGAN2 named NOStyle to generate the secure and high-quality cover (image used for data hiding). In our proposed scheme, we decompose the image synthesis into two stages with symmetrical mode. In stage-I, StyleGAN2 is preserved to generate a high-quality benchmark image. In the stage-II generator, based on the progressive mechanism and shortcut connection, we design a noise secure optimization network by which the different-scale stochastic variation (noise map) is automatically adjusted according to the results of the stage-II discriminator. After injecting the stochastic variation into different resolutions of the synthesis network, the stage-II generator obtains an intermediate image. For the symmetrical stage-II discriminator, we combine the image secure loss and fidelity loss to construct the noise loss which is used to evaluate the difference between two images generated by the stage-I generator and stage-II generator. Taking the outputs of stage-II discriminator as inputs, by iteration, the stage-II generator finally creates the optimal image. Extensive experiments show that the generated image is not only secure but high quality. Moreover, we make a conclusion that the security of the generated image is inverse proportion to the fidelity.
Investigation and Modeling of the Variables of the Decision to Vaccinate as the Foundation of an Algorithm for Reducing Vaccination Reluctance
Authors: Cîrnaţu Daniela , Szentesi Silviu Gabriel , Cuc Lavinia Denisia , Ciurariu Elena , Bran Liliana Renate , Bâtcă-Dumitru Graziella-Corina , Joldes Cosmin Silviu Raul , Pantea Mioara Florina , Pârvu Simona
Published: April 2023

The purpose of this study is to examine the factors that influence vaccination options, including vaccination against COVID-19, in order to develop a management algorithm for decision-makers to reduce vaccination reluctance. This paper’s primary objective is to empirically determine the relationships between different variables that correlate to non-vaccination behavior of the target population, as well as the implications for public health and situational management strategies for future vaccination intentions. We created a questionnaire to investigate the personal approach to disease prevention measures in general and vaccination in particular. Using SmartPLS, load factors for developing an algorithm to manage vaccination reluctance were calculated. The results shows that the vaccination status of an individual is determined by their vaccine knowledge. The evaluation of the vaccine itself influences the choice not to vaccinate. There is a connection between external factors influencing the decision not to vaccinate and the clients’ motives. This plays a substantial part in the decision of individuals not to protect themselves by vaccination. External variables on the decision not to vaccinate correlate with agreement/disagreement on COVID-19 immunization, but there is no correlation between online activity and outside influences on vaccination refusal or on vaccine opinion in general.
Breeding, Biosorption Characteristics, and Mechanism of a Lead-Resistant Strain
Authors: Bao Lining , Cui Yu , Wu Haiwei , Xu Jingwen , Zhu Shuguang
Published: April 2023

To effectively carry out the bioremediation of a Pb2+ polluted environment, a lead-tolerant strain named D1 was screened from the activated sludge of a factory in Hefei, and its lead removal in a solution with Pb2+ concentration of 200 mg/L could reach 91% under optimal culture conditions. Morphological observation and 16S rRNA gene sequencing were used to identify D1 accurately, and its cultural characteristics and lead removal mechanism were also preliminarily studied. The results showed that the D1 strain was preliminarily identified as the Sphingobacterium mizutaii strain. The experiments conducted via orthogonal test showed that the optimal conditions for the growth of strain D1 were pH 7, inoculum volume 6%, 35 °C, and rotational speed 150 r/min. According to the results of scanning electron microscopy and energy spectrum analysis before and after the D1 exposure to lead, it is believed that the lead removal mechanism of D1 is surface adsorption. The Fourier transform infrared spectroscopy (FTIR) results revealed that multiple functional groups on the surface of the bacterial cells are involved in the Pb adsorption process. In conclusion, the D1 strain has excellent application prospects in the bioremediation of lead-contaminated environments.
Quasibound States, Stability and Wave Functions of the Test Fields in the Consistent 4D Einstein–Gauss–Bonnet Gravity
Authors: Vieira Horacio S.
Published: April 2023

We examine the interaction between quantum test particles and the gravitational field generated by a black hole solution that was recently obtained in the consistent 4-dimensional Einstein–Gauss–Bonnet gravity. While quasinormal modes of scalar, electromagnetic, and Dirac fields have been recently studied in this theory, there is no such study for the quasibound states. Here, we calculate the spectrum of quasibound states for the test fields in a spherically symmetric and asymptotically flat black hole solution in the consistent 4-dimensional Einstein–Gauss–Bonnet gravity. The quasispectrum of resonant frequencies is obtained by using the polynomial condition associated to the general Heun functions. We also discuss the stability of the systems for some values of the Gauss-Bonnet coupling constant.
Probing the Neutron Skin of Unstable Nuclei with Heavy-Ion Collisions
Authors: Yang Junping , Chen Xiang , Cui Ying , Li Zhuxia , Zhang Yingxun
Published: April 2023

To improve the constraints of symmetry energy at subsaturation density, measuring and accumulating more neutron skin data for neutron-rich unstable nuclei is naturally required. Aiming to probe the neutron skin of unstable nuclei by using low-intermediate-energy heavy-ion collisions, we develop a new version of an improved quantum molecular dynamics model, in which the neutron skin of the initial nucleus and the mean-field potential in nucleon propagation are consistently treated. Our calculations show that the three observables, such as the cross-sections of the primary projectile-like residues with A>100 (σA>100), the difference of σA>100 between 132Sn + 124Sn and 124Sn + 124Sn systems (δσA>100), and the neutron-to-proton yield ratio (R(n/p)) in the transverse direction, could be used to measure the neutron skin of the unstable nuclei and to constrain the slope of the symmetry energy in the future.
A Candidate Antigen of the Recombinant Membrane Protein Derived from the Porcine Deltacoronavirus Synthetic Gene to Detect Seropositive Pigs
Authors: Castañeda-Montes Francisco Jesus , Cerriteño-Sánchez José Luis , Castañeda-Montes María Azucena , Cuevas-Romero Julieta Sandra , Mendoza-Elvira Susana
Published: April 2023

Porcine deltacoronavirus (PDCoV) is an emergent swine coronavirus which infects cells from the small intestine and induces watery diarrhea, vomiting and dehydration, causing mortality in piglets (>40%). The aim of this study was to evaluate the antigenicity and immunogenicity of the recombinant membrane protein (M) of PDCoV (rM-PDCoV), which was developed from a synthetic gene obtained after an in silico analysis with a group of 138 GenBank sequences. A 3D model and phylogenetic analysis confirmed the highly conserved M protein structure. Therefore, the synthetic gene was successfully cloned in a pETSUMO vector and transformed in E. coli BL21 (DE3). The rM-PDCoV was confirmed by SDS-PAGE and Western blot with ~37.7 kDa. The rM-PDCoV immunogenicity was evaluated in immunized (BLAB/c) mice and iELISA. The data showed increased antibodies from 7 days until 28 days (p < 0.001). The rM-PDCoV antigenicity was analyzed using pig sera samples from three states located in “El Bajío” Mexico and positive sera were determined. Our results show that PDCoV has continued circulating on pig farms in Mexico since the first report in 2019; therefore, the impact of PDCoV on the swine industry could be higher than reported in other studies.
Allicin Inhibits Porcine Reproductive and Respiratory Syndrome Virus Infection In Vitro and Alleviates Inflammatory Responses
Authors: Hu Jingbo , Li Chenxi , Zhou Yanyang , Ding Jingjing , Li Xiangdong , Li Yanhua
Published: April 2023

Porcine reproductive and respiratory syndrome virus (PRRSV) is one of the most economically important pathogens to the swine industry worldwide over the past three decades. No approved effective antiviral drug is available to control this virus. The antiviral effects of allicin (diallyl thiosulfinate) on many human and animal viruses have been documented. However, the antiviral effect of allicin on PRRSV infection remains unknown. In this study, we found that allicin exhibited an inhibitory effect on HP-PRRSV and NADC30-like PRRSV in a dose-dependent manner by interfering with viral entry, replication, and assembly. Furthermore, allicin alleviated the expression of pro-inflammatory cytokines (IFN-β, IL-6, and TNFα) induced by PRRSV infection. The pro-inflammatory signaling pathways, TNF signaling pathway and MAPK signaling pathway, up-regulated by PRRSV infection were restored by allicin treatment. Taken together, these results demonstrate that allicin has antiviral activity against PRRSV and ameliorates inflammatory responses induced by PRRSV infection, suggesting that allicin is a promising drug candidate for anti-PRRSV therapy in vivo.
Scallion Peel Mediated Synthesis of Zinc Oxide Nanoparticles and Their Applications as Nano fertilizer and Photocatalyst for Removal of Organic Pollutants from Wastewater
Authors: Soltani Soufiane , Gacem Amel , Choudhary Nisha , Yadav Virendra Kumar , Alsaeedi Huda , Modi Shreya , Patel Aradhana , Khan Samreen Heena , Cabral-Pinto Marina M. S. , Yadav Krishna Kumar , Patel Ashish
Published: April 2023

Nanotechnology and nanomaterials have gained much attention in recent years due to their remarkable features. Among nanoparticles, photocatalytic material, such as zinc oxide, have shown tremendous applications in each and every field of science. In the present research, investigators have synthesized zinc oxide nanoparticles (ZnONPs) using Scallion’s peel extract. ZnONPs were both spherical and rod-shaped, where the size for spherical particles was 40–100 nm and rod-shaped, particles size was more than 200 nm as confirmed by microscopic techniques. The typical trademark bands of ZnONPs at 400–800 cm−1 were revealed by infrared spectroscopy, which also showed bands of carbonyl and hydroxyl groups. The hydrodynamic size by particle size analyzer (PSA) shows a size near about 200 nm in diameter. Furthermore, the synthesized ZnONPs were used to assess their potential as a micronutrient for the plant and nano adsorbent for the removal of antibiotics (ampicillin) and methylene blue dye from the simulated wastewater. The antibiotic and dye removal were observed under UV light and visible light against contact time. In comparison to control seeds, seeds grown with ZnONPs have shown better germination and seedling. It could be concluded that ZnONPs acted as an important nanosized source of nutrition for agricultural applications. Thus, the effect of ZnONPs has been proven as a nano-based nutrient source for agricultural purposes. The remediation study found that remediation of both ampicillin and methylene blue dye was efficient under UV light under similar experimental parameters from the simulated wastewater by the ZnONPs.
Influence of Some Environmental Factors on Summer Phytoplankton Community Structure in the Varna Bay, Black Sea (1992–2019)
Authors: Klisarova Daniela , Gerdzhikov Dimitar , Nikolova Nina , Gera Martin , Veleva Petya
Published: April 2023

During the last decades, a decrease in the nutrients and an increase in marine temperature on the surface of the Varna Bay of the Black Sea have been registered. The main aim of this study was to establish the influence of some environmental factors (SST, TP, DIN) on the structure of the phytoplankton and to define what part of these dynamics results from the changes in temperature. Bivariate correlation and Nonlinear regression analyses were used to establish the connection between factors of the environment and the quality parameters of different size and taxonomic groups of phytoplankton. The rising SST proved to statistically significantly influence the decrease in the abundance of nano-phytoplankton (50.9%), the abundance and biomass of micro-phytoplankton (53%; 33.2%), the Bacillariophyceae (49.5%; 35.6%), and the biomass of the species of group “Other” (51.4%). The decreasing TP has a significant influence on the decrease in the abundance and biomass of the diatoms and the biomass of group “Other”. The decreasing DIN significantly affects the decrease in the abundance and biomass of Dinophyceae. The analyses showed that rising temperatures had a leading role in the changes in the taxonomic and size structure of phytoplankton during the period 1992–2019.
Biomarcadores inflamatórios na Depressão Maior: uma revisão sistemática
Authors: Cavalcante Muniz Gomes Celina , Melgarejo da Rosa Michelle
Published: April 2023

Introdução. O Transtorno Depressivo Maior (TDM) é um tipo de desordem de humor que envolve a interação entre agentes de natureza psicossocial, genética e biológica. Caracteriza-se principalmente por tristeza persistente, anedonia e incapacidade de realizar atividades diárias. O TDM é um dos principais transtornos mentais que contribui para a carga global de doenças, além de ser subdiagnosticado e subtratado. Dentre os principais problemas relacionados ao diagnóstico e tratamento da depressão estão seu alto nível de subjetividade e sua heterogeneidade. Nesse contexto, os biomarcadores são medidas biológicas quantitativas e/ou qualitativas que se relacionam fisiopatologicamente com um desfecho clínico, e podem auxiliar na melhoria de alternativas terapêuticas e diagnósticas para transtornos mentais. Objetivo. Reconhecer biomarcadores inflamatórios e associados a inflamação no TDM, na literatura científica. Método. Foram utilizadas as bases de dados PubMed, Scopus e Scielo. Resultados. Foram vistos achados moleculares correlacionados significativamente com o diagnóstico e a sintomatologia, que não foram observados em grupos controle ou grupo com remissão da depressão. Foram relatadas alterações quantitativas nas citocinas IL-6, IL-15, IL-21, IL-23, IL-35, IL-17, IL-1β, TNF-α, IFN-γ, em supressores de sinalização de citocinas, em fatores de crescimento e correlações significativas entre inflamação e estresse oxidativo. Também há relatos de perturbações em gêneros bacterianos pertencentes ao filo Firmicutes. Conclusão. A caracterização de biomarcadores inflamatórios surge como alternativa para novas hipóteses neurobiológicas da TDM. Os biomarcadores contribuem com tratamentos mais seletivos e eficazes que possam prevenir o aparecimento ou melhor tratar essa neuropatologia, além de auxiliarem na detecção precoce de tentativas de suicídio.
Sözlüksel Nedensellik İşaretleyicilerinin Söz Dizimi Açısından İncelenmesi (Ayşe Kulin Romanları Örnekleminde)
Authors: KABADAYİ Ceren
Published: April 2023

İnsanoğlu var oluşundan başlayarak tanık olduğu, maruz kaldığı her durumu ve olguyu anlamlandırma ihtiyacı duyar. Bu ihtiyacı karşılama yollarından biri de ulaştığı sonuçlara uygun ve makul nedenler bulmaktır. Bu durum dil ve felsefe gibi birçok bilim dalına da araştırma konusu olmuştur.
Gerçek ya da o an için uygun görülmüş bir neden ile ortaya çıkan neden ve sonuç bilgisinin dildeki yansıması neden sonuç ifadeleridir. Bunu da daha geniş bir düzlemde incelemek için nedensellik kavramını ele almak gerekir. Nedensellik ilişkisi ile kurulmuş bir cümlede yer alan iki yönlü neden ve sonuç ifadeler birbiriyle yapısal bir bağ kurabilmek için üçüncü bir unsur olarak nedensellik işaretleyicilerine gereksinim duyar. Bu yapı ekler vasıtasıyla sağlanabileceği gibi sözlüksel biçimbirimler olan bağlaçlar ve ilgeçler aracılığıyla da sağlanabilmektedir.
Bu çalışmada sözlüksel nedensellik işaretleyicileri olan bağlaç ve ilgeçlerin söz dizimindeki durumları; anlamları, yapıları ve konumları çerçevesinde değerlendirilmeye çalışılmıştır. Çalışmanın örneklemi Türk edebiyatının son dönem yazarları arasında yer alan Ayşe Kulin’in beş romanı esas alınarak belirlenmiştir. Çalışmadan elde edilen veriler bu dil malzemesi vasıtasıyla ortaya konulmuştur. Bu veriler neticesinde iki, üç ve dört unsurdan oluşan on ayrı söz dizimi yapısı tespit edilmiştir.
КОМУНІКАТИВНА КРЕАТИВНІСТЬ У СИСТЕМІ ПРОФЕСІЙНО ВАЖЛИВИХ ЯКОСТЕЙ ОСОБИСТОСТІ СОЦІОНОМІСТА
Authors: Колісник Марина , Шишов Вадим
Published: April 2023

Актуальність дослідження. Феномен комунікативної креативності привертає все більшу увагу науковців-психологів, що обумовлюється ускладненням соціальної взаємодії, підвищенням вимог до продуктивності спілкування, виникненням все більшої кількості нестандартних комунікативних ситуацій, тощо. Недостатній рівень розвитку комунікативних вмінь, неспроможність встановлювати конструктивні стосунки з іншими і повноцінно інтегруватися у соціумі, конфліктність тощо, зумовлюють виникнення низки особистісних психологічних проблем і можуть призводити до недостатнього рівня розвитку комунікативної креативності.

Мета дослідження – виявити особливості комунікативної креативності як професійно важливої якості фахівців соціономічного профілю (на прикладі психологів та учителів).

Методи і вибірка дослідження. Задля реалізації поставленої мети дослідження використано тест-опитувальник комунікативної креативності О. П. Саннікової і Р. В. Белоусової (2001).

Вибірку досліджуваних склали фахівці соціономічного профілю: 51 психолог та 82 учителі основної школи.

Результати. Охарактеризовано феномен комунікативної креативності, визначено її відмінності у психологів та учителів.

Висновки. Комунікативна креативність є однією з провідних професійно значимих якостей та невід’ємною складовою у системі соціальних здібностей фахівців соціономічного профілю.

Серед студентів соціономічних фахів виявлено наступні фахові відмінності у розвитку комунікативної креативності: учителі у порівнянні з психологами в більшій мірі схильні вдаватися до маніпулятивної поведінки, є більш експресивними, виразними у комунікації.
ОСОБЛИВОСТІ ЕСТЕТИЧНОГО СПРИЙНЯТТЯ ТВОРІВ ОБРАЗОТВОРЧОГО МИСТЕЦТВА
Authors: Найчук Вікторія , Пономарьова Валерія
Published: April 2023

Актуальність дослідження. Вивчення особливостей естетичного сприйняття має беззаперечне значення для розробки ефективної системи естетичного розвитку особистості, позитивно впливає на світогляд та духовний світ людини, самостійність творчості та креативність, підвищує рівень пізнавальних процесів. Для забезпечення ефективного впливу естетичного сприйняття необхідним є вивчення його закономірностей та специфічних якостей.

Мета дослідження – визначити особливості естетичного сприйняття творів художнього мистецтва в залежності від рівня естетичних здібностей.

Методи дослідження. Семантичний диференціал для оцінки естетичних обєктів – візуальних художніх образів; методика оцінки естетичних здібностей (Фоменко & Найчук, 2022).

Висновки. Спираючись на аналіз всіх семантичних полей досліджуваних, ми припускаємо, що:

‒ оцінка художніх творів мистецтва особами з низьким рівнем розвитку естетичних здібностей спирається суто на емоційно-інтуїтивному сприйнятті естетичного об’єкту та його оцінки на рівні категорій «приємно»-«неприємно», «подобається»-«не подобається»;

‒ оцінка художніх творів особами з середнім рівнем розвитку естетичних здібностей може бути представлена як процес емоційно-інтуїтивної оцінки об’єкту з подальшим співставленням їх з загальноприйнятими в суспільстві.

‒ оцінка художніх творів мистецтва особистістю з високим рівнем естетичних здібностей представляє складний процес поєднання емоційно-інтуїтивної оцінки об’єкту, співставлення сприйнятих образів з еталонами власного естетичного смаку та співвідношення їх з загальноприйнятими в суспільстві

Отже, ми можемо висунути гіпотезу про те, що центральним елементом, який впливає на розвиток естетичних здібностей особистості є формування в розвиток власного естетичного смаку.
Leadership in the Context of Corporate and Employee Social Responsibility in the Czech Company
Authors: Cincalova Simona , Toporova Veronika
Published: April 2023

Nowadays CSR research concentrates mainly on the macro-level analysis of the phenomena connected to CSR. However, differences exist among the members of stakeholder groups concerned with CSR, which can cause different results in implementing CSR strategies, it is crucial to study CSR also on the individual (micro) level. The article aims to analyse the Czech brewery’s corporate and employee social responsibility in the context of leadership. Several studies reveal how important ethical leadership is because it can affect not only organizational culture, which fosters employee commitment to corporate values but also the range of CSR activities, individuals’ engagement and participation. The authors of these studies stress the importance of ethical leadership, managers' encouragement, and supervisors' attitude toward the topic. The method chosen for the research is the micro-level analysis of employee perceptions, reactions, and attitudes towards the company's CSR together with their determinants. The model of psychological micro-foundations and the ESR-CSR congruence model are used. We opted for semi-structured interviews to gain in-depth and detailed inside into the thinking and perceiving of 13 administrative employees of the company. The coding and content analysis of the respondents' testimonies was conducted in the program MAXQDA. We found amongst our respondents, who represent the group of administrative employees of the Czech brewery, that the most important determinant of their CSR engagement was corporate socialization. Many of the respondents engaged in CSR activities that were related to their job. Therefore, we found room for improvement in the extra-role CSR participation of administrative employees, but also in the encouragement from the part of their supervisors. The chosen group of employees framed their CSR perceptions by trying to look at the issue from the point of view of different stakeholders. They saw the sense of doing CSR in the need for sustainability, and a positive for the company is that these employees regarded its CSR as authentic. We found mainly positive CSR reactions on the side of respondents, such as job satisfaction, organizational pride, or job pursuit intention.
Management Leadership Visibility: A Marketing Asset for Engaging Millennials
Authors: Mathew Jones , Chaudhuri Anirban , Rather Akhter
Published: April 2023

This study explores whether media visibility of corporate leaders can be used for engaging with millennials. Millennials continue to form a lucrative customer segment. Corporate leaders are using media aggressively to be visible. This paper uses NLP-based web scraping tools, and quantitative surveys to collect structured and unstructured data from 206 millennials studying in a postgraduate business program to determine their perception of media visible corporate leaders with their (millennials’) engagement with brands of the company. Findings suggest, that millennials believe media visibility of a corporate leader can positively impact the business outcomes while they do not necessarily buy brands or products based on the leader’s visibility. There is hardly any gender-based difference on this count. Theoretical and managerial implications are discussed.
Development of a Change Request Template for ERP Systems to Increase Time-Efficiency
Authors: Thiel Hannah , Hess Claudia , Skerra Carsten
Published: April 2023

Market environments are changing at an increasingly exponential rate. Technological breakthroughs, the internet, globalization, and the consequential emergence of highly volatile and competitive markets have made managing a company more and more complex. Enterprise resource planning (ERP) systems support the successful management of businesses in such conditions. As the needs and expectations of markets are changing, so are the requirements for ERP systems; new or altered requirements are implemented continuously.

This paper explores how companies can become more time-efficient in their specification of change requests and whether methods from requirements engineering can be applied. In the practice of two sizeable German manufacturing companies, we observed that specifying change requests is time-consuming and inefficient. Sophisticated ERP systems are complex; thus, changes require a detailed description of requirements. In practice, the description often lacks information. This leads to reclarifications with the requestor, difficulties when assessing the expected benefits of change requests, and uncertainties concerning prioritization. Moreover, there is a risk of approval and development of changes that are not fully understood. Therefore, unwanted side effects harm the ERP system and require even more costly corrections later.

The methods and procedures are taken from the design science research; we intended to develop an artefact that supports companies to become more time-efficient in the process of describing, evaluating and prioritizing change requests. We interviewed experts from a large automotive supplier and analyzed the data through content analysis. The research concluded that some methods from requirements engineering can be applied to this context, such as the usage of requirements specification templates, quality criteria, and categorization of requirements. The primary results of this research are an artefact in the form of a new change request template for the use case of changing ERP systems. This template was applied in the automotive supplier's change request practice, where we also gathered feedback on the artefact. The conclusions from data and results of the involved parties reported that the new template increases transparency on what information is required and serves as a foundation for rejecting change requests lacking descriptions. Implications for further research are to increase transparency and additional guidance that already has successfully brought the intended benefit of saving time in this process.
Leadership Diagnostic: Unlocking Human Competence for Effective Strategy Execution
Authors: Nienaber Hester , McNeill Richard
Published: April 2023

Despite unprecedented technological advancement, people remain the most important resource for businesses to execute strategy. Yet, research reports that not all businesses ensure the optimum functioning of their people. This is evident from reports on (a) low levels of employee engagement, (b) deployed positions do not utilise peoples’ ‘competence’, (c) leadership lacks information linking employees to strategy execution and resultant business performance, (d) measuring employees’ contribution to business performance more readily at the tactical and operational levels than the strategic level of measurement, and (e) failure of strategy execution. Neglecting people is an enigma as leadership has long honed tools to make the most of their employees. One such tool is people analytics and another is strategy shaping. Consequently, we explored businesses use of people analytics in strategy execution, the vehicle ensuring business performance. This paper reports on the study. A literature review integrated strategy and people analytics culminating in a diagnostic which leadership can use to unlock human competence. An empirical study followed. Limited empirical evidence on the topic justified an exploratory survey which utilised an online questionnaire to collect vast amounts of standardised data from a purposively selected sample as best fit, which is uncommon. The data were descriptively analysed. The findings (a) showed that strategic level measurement is present at all levels of strategy shaping, and (b) overlooked at the business operational level where strategy is translated and executed, (c) revealed that these overlooked measurements are consequential for unlocking human competence, and (d) illustrated how people link to strategy execution. These findings provide preliminary evidence necessitating further descriptive and explanatory studies. This diagnostic provides requisite information enabling leadership to optimise the functioning of their employees by deploying suitably competent people in appropriate positions, rendering them available to perform, resulting in higher engagement levels, enhancing effective strategy execution, and improving business performance. This study contributes knowledge by demonstrating how people link to strategy execution, enabling leadership to make better decisions by discerning and selecting the critical people measures ensuring strategy execution and thus, business performance.
Board Membership Changes And Financial Performance: The Moderating Role Of Family Firms
Authors: Mesnik Samy
Published: April 2023

The aim of this study is to examine a possible relationship of corporate financial performance and board membership changes. As a consequence, whether too little or too much board membership changes would produce a detrimental impact to financial performance. Furthermore, this study investigated whether this effect is more pronounced in family firms over non-family firms. Based on the agency theory and stewardship perspective, the results indicate that board membership changes are significant for family firms towards short-term financial performance indicators, with positive effect above a certain interval, though it signaling to the market may not be relevant. Also provides insightful examination of a specific corporate governance issue that is valuable both for academics and practitioners.