bluuebunny/crossref_metadata_2025 huggingface dataset:
Zeolites Derived from Natural Kaolinite for CO2 Adsorption
Authors: Celoria Giorgio , Begni Federico , Paul Geo , Boccaleri Enrico , Merlo Valentino , Marchese Leonardo , Bisio Chiara
Published: January 2024

This manuscript deals with the synthesis of different types of zeolites from natural kaolinite samples for CO2 adsorption. A zeolite A was prepared from kaolinite by means of an alkaline fusion process, followed by hydrothermal treatment, whereas a highly crystalline zeolite X was synthesized by optimizing the previously mentioned synthetic procedure. In detail, the SiO2/Al2O3 molar ratio in the preliminary mixture was modified with the addition of a secondary silicon source (sodium silicate) in order to obtain the one required for zeolites X. The physicochemical properties of the pristine clay and of the different zeolites were investigated by means of a multi-technique approach, including XRPD; SEM-EDX; 23Na, 27Al and 29Si MAS NMR spectroscopy; and N2 physisorption analysis at 77 K. Since the Si and Al molar ratios and reactivities are key parameters for the synthesis of zeolites, these aspects, primarily related to the use of a naturally occurring aluminosilicate as the raw material, have been investigated for their correlation with the physicochemical properties of the synthetic products. Moreover, by means of a custom-built volumetric apparatus, the CO2 adsorption capacity of the resulting zeolites at low gas pressures (<1 bar) and at 25 °C was assessed.
Error Sources of Interferometric Synthetic Aperture Radar Satellites
Authors: Wu Yen-Yi , Madson Austin
Published: January 2024

Interferometric synthetic aperture radar (InSAR) processing techniques have been widely used to derive surface deformation or retrieve terrain elevation. Over the development of the past few decades, most research has mainly focused on its application, new techniques for improved accuracy, or the investigation of a particular error source and its correction method. Therefore, a thorough discussion about each error source and its influence on InSAR-derived products is rarely addressed. Additionally, InSAR is a challenging topic for beginners to learn due to the intricate mathematics and the necessary signal processing knowledge required to grasp the core concepts. This results in the fact that existing papers about InSAR are easy to understand for those with a technical background but difficult for those without. To cope with the two issues, this paper aims to provide an organized, comprehensive, and easily understandable review of the InSAR error budget. In order to assist readers of various backgrounds in comprehending the concepts, we describe the error sources in plain language, use the most fundamental math, offer clear examples, and exhibit numerical and visual comparisons. In this paper, InSAR-related errors are categorized as intrinsic height errors or location-induced errors. Intrinsic height errors are further divided into two subcategories (i.e., systematic and random error). These errors can result in an incorrect number of phase fringes and introduce unwanted phase noise into the output interferograms, respectively. Location-induced errors are the projection errors caused by the slant-ranging attribute of the SAR systems and include foreshortening, layover, and shadow effects. The main focus of this work is on systematic and random error, as well as their effects on InSAR-derived topographic and deformation products. Furthermore, because the effects of systematic and random errors are greatly dependent on radar wavelengths, different bands are utilized for comparison, including L-band, S-band, C-band, and X-band scenarios. As examples, we used the parameters of the upcoming NISAR operation to represent L-band and S-band, ERS-1 and Sentinel-1 to represent C-band, and TerraSAR-X to represent X-band. This paper seeks to bridge this knowledge gap by presenting an approachable exploration of InSAR error sources and their implications. This robust and accessible analysis of the InSAR error budget is especially pertinent as more SAR data products are made available (e.g., NISAR, ICEYE, Capella, Umbra, etc.) and the SAR user-base continues to expand. Finally, a commentary is offered to explore the error sources that were not included in this work, as well as to present our thoughts and conclusions.
Rice Height Estimation with Multi-Baseline PolInSAR Data and Optimal Detection Baseline Combination Analysis
Authors: Zhang Bolin , Li Kun , Zhang Fengli , Shao Yun , Wang Duo , Lou Linjiang
Published: January 2024

Rice is a primary food source, and height is a crucial parameter affecting its growth status. Consequently, high-precision, real-time monitoring of quantitative changes in crop height are required for improved crop production. Polarimetric interferometric SAR (PolInSAR) has both polarization and interferometric observation capabilities. Due to the short height of crops and rapid growth changes, the large spatial and short temporal baselines of PolInSAR data are essential for effective crop height inversion; however, relevant satellite-borne SAR and airborne SAR data are currently limited. This study presents a PolInSAR rice height inversion algorithm that uses the oriented volume over ground (OVoG) mode with PolInSAR 0-time and controllable spatial baseline data from a LAMP microwave anechoic chamber. Exploiting the advantages of microwave anechoic chamber measurement data, which includes continuous frequency bands, multiple baselines, and varied incidence angles, the influences of incident angles, baseline length, number of baselines, and baseline combinations are assessed. The highest accuracy rice plant height inversion has a root mean square deviation (RMSE) of 0.1093 m and is achieved with an incidence angle of 35–55°, baseline length of 0.25°, and three to four baselines. Furthermore, an imaging geometric equivalence analysis provides reliable foundation data to guide research into new earth observation SAR systems. The results indicate that, under simulated observations from the GF3 satellite at an altitude of 755 km, the optimal spatial baseline ranges for various frequency bands are as follows: L-band: 10.93–42.59 km; S-band: 4.10–15.97 km; C-band: 2.48–9.64 km; X-band: 1.36–5.32 km; Ku-band: 0.87–3.40 km. Notably, the measurement modes corresponding to the C, X, and Ku bands are ultimately identified as the most suitable for PolInSAR rice height inversion.
Research on Temporal and Spatial Distribution Pattern of the Night-Time Economy Supported by Multi-Source Data—A Case Study of Xiamen City, Fujian Province, China
Authors: Zeng Leixin , Liu Tao , Du Ping , Ling Zhenfei , Wang Yong
Published: January 2024

The increasing proportion of night consumption in the total daily consumption means the night economy has become an indispensable part of national economic development. However, early social science research on alcohol in the night economy and social science research on the night leisure industry dominated our understanding of the night city. Few researchers have built effective mathematical statistical models to explore the spatio-temporal distribution and regional interactions of the night economy. This paper presents a method to analyze the spatial and temporal distribution pattern of the night economy based on multi-source data. Firstly, K-Means++ and DBSCAN were used to cluster OD points to identify the gathering areas of night activities. Then, the local L-function in “flow space” was used to extract the aggregated flow of each aggregation area and analyze the regional interactions. Finally, the correlation between night activity and night service facilities was calculated by using geographic detector, and night activity and lighting were coupled by the profit and loss value. The research shows that this method can identify the main areas of night activity, dig out the interrelationships at the community level, and find the new night activity gathering points and night economic growth areas in the future. This study extends the current situation that the night economy is limited to theoretical research and research in central urban areas, provides the temporal and spatial distribution of night activities and night lighting supplies from the perspective of big data, and provides a basis for future night economy research, urban planning, and relevant policy issuance.
Eating Event Recognition Using Accelerometer, Gyroscope, Piezoelectric, and Lung Volume Sensors
Authors: Mevissen Sigert J. , Klaassen Randy , van Beijnum Bert-Jan F. , Haarman Juliet A. M.
Published: January 2024

In overcoming the worldwide problem of overweight and obesity, automatic dietary monitoring (ADM) is introduced as support in dieting practises. ADM aims to automatically, continuously, and objectively measure dimensions of food intake in a free-living environment. This could simplify the food registration process, thereby overcoming frequent memory, underestimation, and overestimation problems. In this study, an eating event detection sensor system was developed comprising a smartwatch worn on the wrist containing an accelerometer and gyroscope for eating gesture detection, a piezoelectric sensor worn on the jaw for chewing detection, and a respiratory inductance plethysmographic sensor consisting of two belts worn around the chest and abdomen for food swallowing detection. These sensors were combined to determine to what extent a combination of sensors focusing on different steps of the dietary cycle can improve eating event classification results. Six subjects participated in an experiment in a controlled setting consisting of both eating and non-eating events. Features were computed for each sensing measure to train a support vector machine model. This resulted in F1-scores of 0.82 for eating gestures, 0.94 for chewing food, and 0.58 for swallowing food.
In the Direction of an Artificial Intelligence-Enabled Monitoring Platform for Concrete Structures
Authors: Cosoli Gloria , Calcagni Maria Teresa , Salerno Giovanni , Mancini Adriano , Narang Gagan , Galdelli Alessandro , Mobili Alessandra , Tittarelli Francesca , Revel Gian Marco
Published: January 2024

In a seismic context, it is fundamental to deploy distributed sensor networks for Structural Health Monitoring (SHM). Indeed, regularly gathering data from a structure/infrastructure gives insight on the structural health status, and Artificial Intelligence (AI) technologies can help in exploiting this information to generate early warnings useful for decision-making purposes. With a perspective of developing a remote monitoring platform for the built environment in a seismic context, the authors tested self-sensing concrete beams in loading tests, focusing on the measured electrical impedance. The formed cracks were objectively assessed through a vision-based system. Also, a comparative analysis of AI-based and statistical prediction methods, including Prophet, ARIMA, and SARIMAX, was conducted for predicting electrical impedance. Results show that the real part of electrical impedance is highly correlated with the applied load (Pearson’s correlation coefficient > 0.9); hence, the piezoresistive ability of the manufactured specimens has been confirmed. Concerning prediction methods, the superiority of the Prophet model over statistical techniques was demonstrated (Mean Absolute Percentage Error, MAPE < 1.00%). Thus, the exploitation of electrical impedance sensors, vision-based systems, and AI technologies can be significant to enhance SHM and maintenance needs prediction in the built environment.
Passive Control in a Continuous Beam under a Traveling Heavy Mass: Dynamic Response and Experimental Verification
Authors: Manolis George D. , Dadoulis Georgios I.
Published: January 2024

The motion of a heavy mass on a bridge span causes vibrations whose magnitude and frequency content depend on the mechanical properties of the structural system, including the magnitude of that mass and its speed of traverse. In order to limit vibrations that could potentially cause damage, a simple passive device configuration, namely the tuned mass damper (TMD), is introduced and its effect on the beam vibrations analyzed. Specifically, a TMD in the form of a single-degree-of-freedom (SDOF) unit comprising a mass and a spring is placed on the span to act as a secondary system for absorbing vibrations from the primary system, i.e., the bridge itself. A Lagrangian energy balance formulation is used to derive the governing equations of motion, followed by an analytical solution using the Laplace transform to investigate the transmission of vibratory energy between primary and secondary systems. Results are given in terms of time histories, Fourier spectra and spectrograms, where the influence of the TMD in reducing vibratory energy is demonstrated. The TMD is placed in the region where the beam’s transverse motion is at a maximum, while its mechanical properties are sub-optimal, in the sense that there is no separate damper present and minimal damping is provided by the spring element itself. In parallel with the analysis, a series of experiments involving a simply supported model steel bridge span traversed by a heavy mass are conducted to first gauge the analytical solution and then to confirm the validity of the proposed passive scheme.
LoRaCELL-Driven IoT Smart Lighting Systems: Sustainability in Urban Infrastructure
Authors: Biundini Iago Z. , Pinto Milena F. , Honório Leonardo M. , Capretz Miriam A. M. , Timotheo Amanda O. , Dantas Mario A. R. , Villela Priscilla C.
Published: January 2024

In recent years, the rate of urbanization has increased enormously, precipitating an escalating demand for improved services and applications in urban areas to improve the quality of life. In the Internet of Things (IoT)era, cities are transforming into smart urban centers. These cities incorporate connected devices, such as intelligent public lighting systems, to enhance their urban infrastructure. Therefore, this work explores the transformative potential of an IoT-enabled smart lighting system in urban environments, emphasizing its essential role in enhancing safety, economy, and sustainability. In this sense, LoRaCELL (Long-Range Cell) is introduced. LoRaCELL is an innovative system that utilizes edge devices for data collection, such as light intensity, humidity, temperature, air quality, solar ultraviolet radiation, ammeter, and voltmeter. It stands as a pioneering solution for intelligent public lighting systems, contributing to advancing IoT-driven urban development. The outcomes showed that the proposed system could successfully synchronize the devices with each other and send IoT sensing data at a low cost compared to traditional technologies such as LoRaWAN.
Enhancing Patient Safety in Spain: Streamlining Adverse Event Detection in Occupational Healthcare Records
Authors: Moya Diego , Manzanera Rafael , Ortner Jordi , Torres Marta , Serfaty Joan Carles , Sauri Carme , Jimenez Lourdes , Mira Jose Joaquin
Published: January 2024

Background: Given the lack of previous studies on adverse events (AEs) in the area of occupational healthcare in Spain, it is very important to begin to understand this phenomenon in order to act on it. The objective was to accurately quantify AE occurring in occupational healthcare in MC Mutual during May 2021. Methods: We conducted a review of a representative random sample of 250 clinical records to identify AEs through an active search audit, focused on the frequency, type, severity, and preventability of these events, categorized using standardized scales. Results: We detected seven AEs in the sample of clinical records, representing 3% AEs per clinical record, while in the APEAS Spanish Study, they were detected in 10% of patients. The most frequent AE type was postoperative, followed by medication and diagnostic delay. The AEs were of intermediate severity and high severity and with a variable degree of being preventable. Conclusions: The detection of AEs has been useful in the development of projects and action plans such as specific training courses, safety patient newsletters, ambulatory risk maps, and treatment plans framed in the official certification of patient safety. These results should be evaluated in other companies similar to MC Mutual.
Exploring the Drivers of Soil Conservation Variation in the Source of Yellow River under Diverse Development Scenarios from a Geospatial Perspective
Authors: Ling Ming , Chen Jianjun , Lan Yanping , Chen Zizhen , You Haotian , Han Xiaowen , Zhou Guoqing
Published: January 2024

Soil conservation (SC) plays a vital role in preventing soil erosion and ensuring ecological security. While current research on SC primarily focuses on historical spatiotemporal variations, there remains a dearth of sufficient simulation research exploring future development scenarios. In this study, simulations were applied to the source of Yellow River (SYR), a representative ecologically fragile area. Satellite remote sensing and product data, including precipitation, soil, land use/cover, DEM, and SPOT/VEGETATION NDVI, were utilized. The historical and future evolutionary trends of SC in the SYR were quantitatively assessed using the Revised Universal Soil Loss Equation (RUSLE) and trend analysis method, and the geographical detector was employed to explore the forces driving spatial differentiations in SC. The results demonstrated that: (1) 2000–2020, the spatial heterogeneity of SC in the SYR was characterized by the distribution of “gradually decreasing from Southeast to Northwest”, demonstrated a trend of “increasing, decreasing, and then increasing”. (2) Under the diverse development scenarios, the trend of SC change in the SYR was predominantly rising, and the natural change scenario (NCS) > ecological conservation scenario (ECS) > economic expansion scenario (EES). (3) Slope was the most important single driver affecting the spatiotemporal differentiation of SC, and the interaction of slope with average annual precipitation, and NDVI on the spatiotemporal heterogeneity of SC had the strongest explanatory ability. The results can serve as a scientific basis for regional SC and ecological protection and construction of the SYR.
Route Optimization for Hazardous Chemicals Transportation under Time-Varying Conditions
Authors: Zou Zongfeng , Kang Shuangping
Published: January 2024

Since accidents of hazardous chemicals transportation will cause serious loss to the surrounding environment and lives and properties, this paper studies the transportation route optimization problem of hazardous chemicals under dynamic time-varying conditions. Combined with the goal of green sustainable development, a multiobjective nonlinear optimization model is constructed to minimize the transportation risk, transportation cost, and carbon emissions generated in the transportation. The model is solved by the improved Fast Non-Dominated Sorting Genetic Algorithm with Elite Strategy (NSGA-II) algorithm. The effectiveness of the model and the algorithm are tested on the Sioux Falls network. The experimental results show that under time-varying conditions, a vehicle’s departure at different times will generate different transportation costs and risks. Therefore, enterprises need to rationally arrange the departure time of vehicles according to the time windows of customer nodes and road conditions. In additio, from the relationship between the optimization objectives, in order to achieve green, sustainable and low-risk transportation, enterprises should first reduce their transportation costs.
Sustainable Tourism near the City—A Case Study of Stolovi Mountain, Serbia
Authors: Penjišević Ivana , Lukić Tamara , Milosavljević Saša , Jandžiković Bojana , Šabić Dejan , Dragojlović Jovan , Valjarević Aleksandar
Published: January 2024

This paper deals with the sustainability of tourism in Stolovi Mountain. The purpose of the research was to show that it is possible to develop sustainable tourism in unestablished localities, intending to reduce differences in regional development in the Republic of Serbia, and then refine the tourist offerings of already established tourist localities in the vicinity. Various literature sources were used in the research. GIS software (QGIS 3.12) was used in order to create geographic and other special maps. Field observations were conducted, which were used to perform an in-depth analysis. In addition, two surveys were conducted with people from Kraljevo and those coming from other places in order to determine the identity and recognizability of Stolovi Mountain. The significance of this research is in pointing out that the connection of tourist sites can enrich the offer and attract new visitors, but also in supplementing scientific knowledge about Stolovi Mountain. The main results of the research show that green forms of tourism will ensure ecological sustainability. Kraljevo, a nearby city, is home to the workforce that will care for the localities, provide material contributions for the preservation of nature, guide jobs and sell souvenirs. Stolovi Mountain could quickly be included in various tourist tours and begin to demonstrate the first positive economic effects, followed by sociodemographic ones. The affirmation of mountainous, sparsely populated areas will lead to uniform regional development.
Asymptotically Stable Solutions of Infinite Systems of Quadratic Hammerstein Integral Equations
Authors: Banaś Józef , Madej Justyna
Published: January 2024

In this paper, we present a result on the existence of asymptotically stable solutions of infinite systems (IS) of quadratic Hammerstein integral equations (IEs). Our study will be conducted in the Banach space of functions, which are continuous and bounded on the half-real axis with values in the classical Banach sequence space consisting of real bounded sequences. The main tool used in our investigations is the technique associated with the measures of noncompactness (MNCs) and a fixed point theorem of Darbo type. The applicability of our result is illustrated by a suitable example at the end of the paper.
Radial Oscillations of Dark Matter Stars Admixed with Dark Energy
Authors: Sepúlveda Camila , Panotopoulos Grigoris
Published: January 2024

We imagine spherically symmetric configurations made of both dark matter and dark energy in the halo of spiral galaxies. Adopting a polytropic equation of state for dark matter and the Extended Chaplygin gas equation of state for dark energy, we model the same object with three different dark matter–dark energy compositions. We compute the frequencies and the corresponding eigenfunctions of the ten lowest modes, integrating the equations for the radial perturbations by imposing the appropriate boundary conditions at the center and the surface of the object. Also, a comparison between the different models is made.
A Review of AI-Driven Control Strategies in the Activated Sludge Process with Emphasis on Aeration Control
Authors: Monday Celestine , Zaghloul Mohamed S. , Krishnamurthy Diwakar , Achari Gopal
Published: January 2024

Recent concern over energy use in wastewater treatment plants (WWTPs) has spurred research on enhancing efficiency and identifying energy-saving technologies. Treating one cubic meter of wastewater consumes at least 0.18 kWh of electricity. About 50% of the energy consumed during this process is attributed to aeration, which varies based on treatment quality and facility size. To harness energy savings in WWTPs, the transition from traditional controls to artificial intelligence (AI)-based strategies has been observed. Research in this area has demonstrated significant improvements to the efficiency of wastewater treatment. This contribution offers an extensive review of the literature from the past decade. It aims to contribute to the ongoing discourse on improving the efficiency and the sustainability of WWTPs. It covers conventional and advanced control strategies, with a particular emphasis on AI-based control utilizing algorithms such as neural networks and fuzzy logic. The review includes four key areas of wastewater treatment AI research as follows: parameter forecasting, performance analysis, modeling development, and process optimization. It also points out potential disadvantages of using AI controls in WWTPs as well as research gaps such as the limited translation of AI strategies from research to real-world implementation and the challenges associated with implementing AI models outside of simulation environments.
Efecto de la temperatura de secado sobre los compuestos polifenólicos y actividad antioxidante de las hojas de Piper aduncum L. (matico).
Authors: Luna Fox Sting Brayan , González-Linares Katherine Estefanía , Ortega Torres Jhomaira Astrid , Rodríguez-Almeida Nancy Narcisa , Dahua-Gualinga Ruth Dayra , Peñafiel-Bonilla Nelly Jazmín , Bravo-Sánchez Luis Ramón
Published: January 2024

El objetivo de la investigación fue evaluar el efecto de la temperatura de secado sobre los compuestos polifenólicos y actividad antioxidante de las hojas de Piper aduncum L. (matico). Las hojas fueron recolectadas en la ciudad de Puyo-sector El Paico, ubicado en la Amazonía de la provincia de Pastaza-Ecuador. Se utilizó la técnica extracción asistida por ultrasonido para obtener los extractos acuosos. Los polifenoles totales fueron determinados mediante la técnica de Folin-Ciocalteu y la actividad antioxidante fue evaluada utilizando los métodos FRAP y ABTS. Se evaluó el efecto de tres niveles de temperatura de secado (45, 50 y 55°C) sobre los compuestos polifenólicos y la actividad antioxidante de las hojas de matico. Se usó el software Design Expert versión 10, para evaluar la significancia (p<0,05) del factor de estudio sobre la respuesta experimental. Se realizó el análisis ANOVA para valorar la influencia que tuvo la temperatura sobre las variables de respuesta. La temperatura de secado tuvo un efecto negativo sobre los compuestos polifenólicos y la actividad antioxidante en las hojas del matico. Los resultados más altos se obtuvieron a 45°C con valores de 79,92 mg Equivalentes de Ácido gálico por cada 100 gramos de materia seca para polifenoles totales, 74898,90 y 508,07 µg Equivalentes de TROLOX por gramo de materia seca, para actividad antioxidante mediante las técnicas FRAP y ABTS respectivamente, por lo que es recomendable realizar el secado a esta temperatura, previo a cualquier utilización o procesamiento posterior con vistas a preservar sus propiedades como antioxidante natural.

Palabras Clave: Polifenoles totales, capacidad antioxidante, FRAP, ABTS.
New evidence on the validity of the selection methods for recruitment to general practice training: a cohort study
Authors: Tiffin Paul A , Morley Emma , Paton Lewis W , Patterson Fiona
Published: January 2024

Background

Selection into UK-based GP training has used the Multi-Specialty Recruitment Assessment (MSRA) and a face-to-face selection centre (SC). The MSRA comprises of a situational judgement test and clinical problem-solving test. The SC was suspended during the COVID-19 pandemic. Evidence is needed to guide national and international selection policy.

Aim

To evaluate the validity of GP training selection.

Design & setting

A retrospective cohort study using data from UK-based national recruitment to GP training, from 2015–2021.

Method

Data were available for 32 215 GP training applicants. The ability of scores from the specialty selection process to predict subsequent performance in the Clinical Skills Assessment (CSA) of the Membership of the Royal College of General Practitioners examination was modelled using path analysis. The effect sizes for sex, professional family background, and world region of qualification were estimated.

Results

All component scores of the selection process demonstrated statistically significant independent relationships with CSA performance (
P
<0.001), thus establishing their predictive validity. All were sensitive to demographic factors. The SC scores had the weakest relationship with future CSA performance. However, for candidates with MSRA scores below the lowest quartile, the relative contribution of the SC scores to predicting CSA performance was similar to that observed for MSRA components.

Conclusion

The MSRA has predictive validity in this context. Re-instituting an SC for those with relatively low MSRA scores should be considered. However, the relative costs and potential advantages and disadvantages should be carefully weighed.
Rapports de la ponctuation avec la construction grammaticale
Authors: Bourgain-Hemeryck Pascale
Published: January 2024

Antiquity it was treated sometimes in generic terms (for distinctio is a grammatical operation), sometimes and more often in a rhetorical context. During the Middle Ages, more and more theorists appeal to grammar and use syntactic terminology to explain their own conception of punctuation. From the XIIth century onwards, difficulties in combining stylistics with grammatical analysis led these theorists to rely more on syntax to understand punctuation terms and to structure the texts. Conversely, in stylistics, defining punctuation pauses as marks of dependance, sufficiency and finitude leads to codify the rules of dictamen according to principles that are almost as grammatical as they are stylistic, with a dominant threefold rhythm in agreement with the triads of punctuation.
Gnade für Lüttich ! Ein Gedicht über die Schlacht von Othée (1408) und deren Folgen
Authors: Haye Thomas
Published: January 2024

In 1406 the citizens of Liège chased away their lord, the bishop-elect John VI of Bavaria. But his relatives, the Dutch Count William IV and the Burgundian Duke John the Fearless, who were called to help, destroyed the militia of the rebels in the battle of Othée (23 September 1408). As a result, the city lost its communal liberties and was brutally oppressed. A hitherto unknown Latin poem, probably written in 1415 by an anonymus author from Liège, deals with the subject from the point of view of both the victors and the defeated. It reflects the political disunity of the local clergy and appeals to the grace of the bishop-elect. The essay offers a critical edition of the text (based on the manuscript Basel, UB, F. V. 6), a commentary, and a historical-philological interpretation.
Lessici mediolatini on-line. L’esperienza di Mirabile
Authors: Lunardini Valentina
Published: January 2024

Nel saggio è descritto il progetto LeMeL (Lessici Mediolatini) che, all’interno della Sezione Lessicografica della S. I. S. M. E. L., è strutturato in tre fasi : il reperimento di testi dispersi in varie biblioteche e presso case editrici non sempre accessibili ; la resa in formato elettronico dei testi. Ciò ha permesso la scansione di tutti i testi immessi in LeMeL ; la riduzione in pdf ricercabile di tutti questi testi per poter permettere la reperibilità dei vocaboli. Il materiale inserito in LeMeL comprende opere di grandezza variabile, fra le quali le raccolte edite nel Corpus Glossariorum Latinorum (7 volumi) e nei Glossaria Latina (5 volumi), l’Elementarium di Papias (incunabulo del 1496 ed edizione critica della lettera A, a cura di V. de Angelis), le Derivationes di Osberno, le lettere A-C delle Derivationes e l’Agiographia di Uguccione da Pisa, il Doctrinale di Alessandro de Villadei, il Graecismus di Eberardo di Béthune, la Summa Britonis sive Expositiones vocabulorum Biblie di Guglielmo Bretone, l’Expositio sermonum antiquorum di Fulgenzio, le Etymologiae di Isidoro di Siviglia e il De lingua latina di Varrone. Infine, le proposte per il futuro prevedono più livelli. Innanzitutto creare collegamenti con indici lessicali già esistenti, come ad esempio l’indice lessicale di Medioevo Latino, nell’intento di giungere alla creazione di un thesaurus sempre più ricco dei lasciti lessicografici della latinità medievale.
Urban Core Greening Balances Browning in Urban Expansion Areas in China during Recent Decades
Authors: Zhang Xiaoxin , Brandt Martin , Tong Xiaoye , Tong Xiaowei , Zhang Wenmin , Fensholt Rasmus
Published: January 2024

China has experienced a rapid urbanization during recent decades, strongly affecting vegetation dynamics in areas undergoing a transformation from rural to urban areas. At the same time, national greening policies have been implemented to promote urban sustainability and urban greening in China in recent years. However, it is unclear how urban greening compensates vegetation losses from urban expansion at national scale. Here, we use Moderate Resolution Imaging Spectroradiometer and Landsat satellite normalized difference vegetation index time series to study 974 major cities (urban area > 20 km
2
) in China during 2000 to 2020 and develop an urban vegetation change typology including 5 types of vegetation dynamics (greening, browning, stable, reversal, and recovery). We document a rapid urban expansion associated with a browning in urban areas before 2011, followed by widespread regreening of the urban areas after 2011. This recovery in greenness was found in 63.45% of the cities, while 14.68% showed a continuous browning, and 8.13% a continuous greening. Our findings reveal to what extent, where, and when vegetation browning from urban expansion is balanced by urban greening in urban core areas, which may indicate that initial vegetation losses are offset by urban greening initiatives.
Determinants of journalism using the potential of artificial intelligence in axiological-ethical perspectives
Authors: Gáliková Tolnaiová Sabína
Published: January 2024

In the article, attention is paid to artificial intelligence in the field of journalism in an axiological-ethical perspective. In it, the author focuses on the problem of ethical determinants of journalism, which uses the instrumental potential of artificial intelligence. Its purpose is to identify the ethical framework as a determinant of its quality, to further define its critical elements and to point out the difficulty of their implementation in journalistic practice. Also to identify the need and nature of wider social interest in solving problems, or the impact of the use of artificial intelligence by journalists on the ground of journalism itself and ultimately in society. First, in the contribution, the author focuses on the need and nature of a new ethical framework for the development of artificial intelligence and its use, in which she defines its values and principles. She identifies two of them as the most critical (responsibility and transparency). In this context, it reveals the possibilities and the difficulty of securing them, especially through deontological, or ethical standards in journalistic practice. Finally, she points to the need, importance, and very nature of investigating and discussing the socio-ethical consequences and risks of adopting artificial intelligence, including the impact it can have on the values of journalism. According to her, these today exceed purely scientific interest. In this context, she emphasizes the strengthening of the ethical and social responsibility of all media communication actors.
Is AI involved in spreading marketing myths?
Authors: Kvíčala Daniel , Klepek Martin
Published: January 2024

There are a lot of myths and untruths in marketing, or claims unsupported by data, which are further exploited both in practice and in academia. The task of academics should therefore be to identify and confirm or refute these through empirical research. The spread of such myths and half-truths can be amplified by the widespread use of AI in the acquisition of marketing knowledge. Thus, the aim of this paper will be to use a few selected AI tools to obtain answers to selected marketing questions and compare these with each other. Subsequently, the answers will be compared with the findings of empirical research addressing the issues. In a comparative analysis between artificial intelligence tools and scholarly literature, no significant disparities were identified. Artificial intelligence does not strive to present unequivocal conclusions but emphasizes the necessity of drawing insights from diverse sources. The main issue if the fact that AI generates fake bibliographic referrences thus it is neccessary to double check all the sources.
The origins of formal distribution of local digital games in the 1990s in Slovakia
Authors: Kysler Adam , Trnka Andrej , Kovalčík Juraj
Published: January 2024

In the 1990s, two digital-game distribution companies were established in Slovakia. These companies started to distribute local game titles formally. Although digital games were created and distributed in Czechoslovakia before 1989, they were distributed informally at that time, mainly through computer clubs. Copyright Act No. 35/1965 did not protect computer programs until 1990. With the advent of the market economy and the amendment of copyright Act No. 89/1990, some informal distributors in Czechoslovakia switched to legal and official distribution of digital games. However, even after the amendment, some did not stop their illegal business of selling pirated copies of games. Slovak gaming magazines attempted to protect the authors of Slovak games and started to sell their games officially. After the opening of the borders, games by mostly amateur Slovak creators could hardly compete on the local market, where foreign titles started to arrive in larger quantities and none of them managed to reach the foreign market until the second half of the 1990s.
Social activism of brands in the age of artificial intelligence (AI)
Authors: Leporis Tatiana , Spálová Lucia
Published: January 2024

Individual perception is decisive in relation to the response to socio-political issues because perception influences attitudes and behavior, it leads to decision-making, affects its quality, and at the same time constructs our perception of reality as such. Two phenomena – the social activism of brands and artificial intelligence – have also become the subject of interest in numerous scientific studies in academic research for this reason. However, their mutual influence and effects on the consumer are still considered underresearched. This paper presents the essence of brand activism as a marketing strategy with the potential to influence consumer perceptions, attitudes and subsequent behavior. Using the examples from a study, it points out that perception and attitudes are also influenced by AI tools and social media, which we conceptually define as the intervening factors with an effect of the consequences of activism. Using specific examples, the paper points to the contemporary use of AI tools in the communication of social activism of brands and to the factors affecting the consequences of brand activism.
The position of game reviews in video game journalism
Authors: Pravdová Hana , Cihlářová Monika
Published: January 2024

This theoretical study discusses the influence of game journalism on its audience’s decision-making in the process of purchasing a digital game product, as well as the possibilities of providing feedback to the creator of a digital game. Game review, as an elementary and characteristic genre of game journalism, forms a link between creators and players of a digital game. Due to its opinion-forming influence and the necessity to maintain a relationship with game developers, it is criticized not only by the game audience but also by representatives of traditional journalism, especially abroad. In addition, different opinions emerge in the discourse of games journalism regarding the differences between game reviews and game criticism. In this thesis we try to define these terms from different positions, to understand them and to find the link that connects the different claims. The aim of the present study is to highlight the importance of game reviews in the customer’s product selection process and to reflect on the relevance of game reviews on the acceptance of digital games in society. To investigate the existing empirical research, we have chosen comparative and discourse analysis and some logical analysis methods.
Differences in the perception of neuromarketing attributes in the context of selected socio-demographic characteristics of customers
Authors: Tomková Anna , Zbihlejová Lucia
Published: January 2024

The presented contribution analyzes mutual differences in the perception of the selected attributes of neuromarketing with an emphasis on the selected socio-demographic characteristics of customers. On a theoretical level, the contribution captures basic concepts from the field of neuromarketing and the customer, their personality and their behavior. The customer thinks about their already completed purchase, whether they did well with it, and whether they considered all their requirements. They decide whether they will repeat their purchase or not. The aim of the contribution within the empirical part is to find statistically significant differences from the point of view of residence and marital status of the respondents. The results of the analyses did not confirm the existence of differences in the selected attributes of neuromarketing from the point of view of residence. When using neuromarketing attributes within marital status, a higher average was recorded for unmarried respondents. They realize what neuromarketing can do and what impact it has on the business behavior of customers. The results obtained from the conducted research support the meaningfulness of investigating the issue of neuromarketing attributes, primarily in the context of selected socio-demographic characteristics of customers. The obtained data were mathematically and statistically recorded. The methods of differential statistics were used during processing, namely the Student’s t-test.
The artificial intelligence behind the podcast microphone: AI-generated content in podcasting
Authors: Vrzalíková Kateřina
Published: January 2024

This paper presents a comprehensive literature review, the main aim of which is to gather information on the ways in which artificial intelligence is currently being used in content generation in the podcast industry, what tools can be used to do so, and how the merging of the two fields has evolved. Based on the structure and role specification of the podcast host, AI tools that could fulfill these roles were identified. The paper specifically focuses on podcast production in the early stages, i.e. the conception, development and curation of raw content, for which advanced technologies for Automatic Speech Recognition (ASR), Speech Synthesis (TTS) and Generative Pre-trained Transformer (GPT) are specific. This review is based on systematic research in databases, academic journals, conference proceedings, and other relevant sources related to artificial intelligence, the podcasting industry, and a generalization of their results. In particular, the Google Scholar database for scholarly articles and Google search engines were used to collect information on these tools. Finally, individual research on AI-generated content in the time range between 2006 – 2023 was construed using a neutral interpretation. The final selection includes 14 relevant studies in the field of AI and podcasting interfacing and 48 selected AI tools that can mostly be used individually and separately in the entire podcast production process. The contribution of this literature review is the structured consolidation of information, promotion of interdisciplinary research, and provision of state of the art in the field.
The role of human capital in the context of digital economy transformation
Authors: Zábojník Rastislav
Published: January 2024

In the context of the current trend of digital economy transformation, human capital emerges as a key factor supporting economic growth and innovation processes. This paper focuses on the dynamics of these processes, examining how human capital influences the implementation of new technologies and artificial intelligence, particularly in the context of the business environment. The aim of this study is to analyze and provide a comprehensive view of selected factors that, in the context of human capital, shape economic growth and innovations in the process of digital economy transformation, with a particular emphasis on its current challenges and opportunities. Based on the analysis of current trends and reflection on academic literature, this paper highlights the significance of the economic transformational potential of human capital, especially in the area of digitalization and artificial intelligence (AI). The conclusion and discussion include a set of innovative proposals for education and development of human capital, with a focus on new challenges associated with the concept of Industry 4.0 and artificial intelligence (AI).
New in Transfusiology (at the Congress of the International Society of Blood Transfusion in Cape Town)
Authors: Жибурт Е.Б. , Хамитов Р.Г. , Похабов Д.С. , Аверьянов Е.Г. , Кожемяко О.В. , Кузьмин Н.С. , Мадзаев С.Р. , Шестаков Е.А.
Published: January 2024

В статье обобщены материалы 34-го регионального конгресса Международного общества переливания крови. Проанализированы данные по организации донорства и службы крови, инфекциям у доноров крови, обеспечению качества компонентов крови, инактивации патогенов, иммуногематологии, эффективности и безопасности переливания крови, менеджменту крови пациента.

The article summarizes the materials of the 34th regional congress of the International Society of Blood Transfusion. Data on the organization of blood donation and blood services, infections in blood donors, quality assurance of blood components, inactivation of pathogens, immunohematology, the effectiveness and safety of blood transfusion, and patient blood management were analyzed.
Perancangan dan Implementasi Sistem Informasi Penjualan dan Pembelian pada Novera Clara Beauty Berbasis Dekstop
Authors: Tri Pratiwi Olivia Riska Bokings  , Novita Lestari Anggreini
Published: January 2024

Penelitian ini bertujuan untuk menganalisis, merancang, mengimplementasi, dan menguji sistem informasi penjualan dan pembelian pada Novera Clara Beauty. Metode analisis yang digunakan adalah analisis PIECES dan menggunakan metode pengembangan sistem waterfall. Tahap selanjutnya ialah perancangan Data Flow Diagram (DFD), Entity Relationship Diagram (ERD), normalisasi, struktur menu, dan perancangan antar muka. Pendekatan yang digunakan menggunakan bahasa pemrograman Visual Studio 2015 dan MySQL sebagai basis data. Pengujian sistem yang digunakan yaitu dengan menggunakan pengujian black box. Hasil penelitian ini berupa sebuah aplikasi sistem penjualan dan pembelian. Hasil pengujian sistem bahwa sistem dapat memenuhi kebutuhan secara fungsional sesuai dengan perancangan yang telah dibuat. Sistem yang dibuat dapat melakukan pencatatan transaksi penjualan dan pembelian secara terkomputerisasi sehingga proses perhitungan dan pembuatan laporan menjadi lebih efektif dan efisien.
Streaming para além do sexo
Authors: Vieira Filho Maurício João , Desidério Ricardo
Published: January 2024

Recentemente, pessoas anônimas e famosas têm ganhado milhares de dólares por mês na OnlyFans comercializando conteúdos sexuais e nudez. Essa emergência da plataforma, fundamentalmente após o surto da pandemia de covid-19, chama atenção pela centralidade que os corpos ganham nos mecanismos de comercialização e como se constroem para serem visíveis. Neste sentido, objetiva-se refletir como a OnlyFans altera lógicas do streaming para o consumo personalizado e como o corpo é central na produção de sentidos da plataforma. O artigo se desdobra em duas seções: (i) plataformização, vigilância e extimidade, a fim de entendermos como se entrelaçam por possibilidade de se exibir e faturar; (ii) corpos, nudezes e pedagogias que educam e constituem os usuários da plataforma. Espera-se ainda, que outras implicações para os estudos comunicacionais se desdobrem em análises a partir da OnlyFans.