bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dispositivos Virales: cuestionando las relaciones entre el cuerpo y el espacio desde la especulación artística
Authors: Hernández Sanchez Citlali , Bernad Lage Silvia , Garcia Campos Núria , Scavo Giorgia 
Published: November 2023

En Dispositivos Virales: cuestionando las relaciones entre el cuerpo y el espacio desde la especulación artística se relata el proceso de investigación artística Dispositivos Virales, entrando en juego el concepto de cuerpos y espacios conectados, forjando un espacio experiencial colectivo e individual que pretende establecer una colección de memorias sobre el cambio de subjetividades y relaciones que derivan después de la crisis de la Covid-19, y la fusión creciente de la vida online y offline. A través de proyectos artísticos e investigación bibliográfica asistimos al foco de la práctica artística: el testeo de varios dispositivos tecno-afectivos diseñados para este proyecto bajo la estela de los «objetos sonda» con el fin de observar, relatar y abrir nuevas experiencias posibles ante un cambio de paradigma patente.
Psychological morbidities among Nepalese migrant workers to Gulf and Malaysia
Authors: Sharma Abha , Adhikari Renuka , Parajuli Enjila , Buda Manisha , Raut Jyotika , Gautam Ena , Adhikari Bibhav 
Published: November 2023

BackgroundOne of the important aftereffects of rapid global development is international mobility, which has placed the health of migrant workers as a key public health issue. A less-developed country, Nepal, with political instability and a significant lack of employment, could not remain untouched by this phenomenon of migration. Our goal was to identify and determine the predictors of anxiety, depression, and psychological wellbeing among Nepalese migrant workers in Gulf countries (United Arab Emirates, Saudi Arabia, Qatar, Oman, Kuwait, Bahrain) and Malaysia.MethodsA descriptive cross-sectional study was used to collect information from 502 Nepalese migrant workers in the arrival section of Tribhuvan International Airport from May to June 2019 using purposive sampling. Workers with a minimum work experience of 6 months and above were included in the study. A structured questionnaire with socio-demographic items was used along with the Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI) and WHO (five) wellbeing scale for measuring the subjective psychological wellbeing and screening for depression.ResultsThe mean age of the respondents was 32.97 years. Majority (41.8%) of the respondents had work experience in Qatar and 63.7% had work experience of 1–5 years. The results suggested that 14.4% had mild to severe depression while 4.4% had a moderate level of anxiety. The WHO5 wellbeing index score suggested that 14.1% of the respondents had a score below 13, which is suggestive of poor psychological wellbeing. Further, the country of work (p = 0.043), sleeping hours (p = 0.001), occupation (p = 0.044), working hours (p = 0.000), water intake (p = 0.010) and anxiety level (p = 0.000) were found to be significantly associated with depression score. Similarly, sleeping hours (p = 0.022), occupation (p = 0.016), working hours (p = 0.000), water intake (p = 0.010), and anxiety level (0.000) were significantly associated with the WHO5 wellbeing score.ConclusionsNepalese migrant workers in the Gulf countries (United Arab Emirates, Saudi Arabia, Qatar, Oman, Kuwait, Bahrain) and Malaysia bear an important burden of psychological morbidities. This highlights the need to prioritize the migrant worker’s mental health by Nepal as well as Gulf countries and Malaysia.
Comparing text mining and manual coding methods: Analysing interview data on quality of care in long-term care for older adults
Authors: Hacking Coen , Verbeek Hilde , Hamers Jan P. H. , Aarts Sil 
Published: November 2023

Objectives
In long-term care for older adults, large amounts of text are collected relating to the quality of care, such as transcribed interviews. Researchers currently analyze textual data manually to gain insights, which is a time-consuming process. Text mining could provide a solution, as this methodology can be used to analyze large amounts of text automatically. This study aims to compare text mining to manual coding with regard to sentiment analysis and thematic content analysis.

Methods
Data were collected from interviews with residents (n = 21), family members (n = 20), and care professionals (n = 20). Text mining models were developed and compared to the manual approach. The results of the manual and text mining approaches were evaluated based on three criteria: accuracy, consistency, and expert feedback. Accuracy assessed the similarity between the two approaches, while consistency determined whether each individual approach found the same themes in similar text segments. Expert feedback served as a representation of the perceived correctness of the text mining approach.

Results
An accuracy analysis revealed that more than 80% of the text segments were assigned the same themes and sentiment using both text mining and manual approaches. Interviews coded with text mining demonstrated higher consistency compared to those coded manually. Expert feedback identified certain limitations in both the text mining and manual approaches.

Conclusions and implications
While these analyses highlighted the current limitations of text mining, they also exposed certain inconsistencies in manual analysis. This information suggests that text mining has the potential to be an effective and efficient tool for analysing large volumes of textual data in the context of long-term care for older adults.
Dose-dependent cytotoxicity against lung cancer cells via green synthesized ZnFe2O4/cellulose nanocomposites
Authors: Singh Alka , Singh Nakshatra Bahadur , Priya Kanu , Tomar Richa , Al-Qahtani Mohammed Saeed , Imam Mohammad Tarique , Almalki Ziyad Saeed , Abdulmonem Waleed Al , Yadav Krishna Kumar , Park Hyun-Kyung 
Published: November 2023

Abstract
Cancers are complicated sicknesses that happen because of many different things going wrong in cells, and as they get worse, the cells undergo many changes one after another. Nanomedicine is a new way to treat diseases like cancer. Tiny particles called nanoparticles have special properties that can help to treat diseases better than regular treatments. These particles are very small but have a lot of surface area, can carry different drugs, and can be designed to target specific areas. They can move around the body, go into cells, and release drugs slowly. Because of these benefits, nanoparticles could be better for cancer treatment. In this continuous research, we present a simple technique for the quick and single-step synthesis of ZnFe2O4/cellulose nanocomposites, employing the polymer cellulose. This method is not only cost-effective but also environment friendly. Scanning electron microscopy, powder X-ray diffraction, Fourier transform infrared spectroscopy, and the ultraviolet-visible (UV) spectrum were all used to examine the morphological, structural, and electrical properties of ZnFe2O4/cellulose nanocomposites. The nanocomposite derived from UV-DRS exhibits an optical energy bandgap of 1.8 eV. The mechanical strength of the composites gradually increases as ZnFe2O4 is added to the cellulose polymer matrix. These findings propose a straightforward and innovative approach to produce ZnFe2O4/cellulose nanocomposites that can serve as functional biomaterials. In addition, the ZnFe2O4/cellulose nanocomposite exhibits decreased antioxidant activity compared to ascorbic acid. ZnFe2O4/cellulose nanocomposite was found to have an IC50 of 49.64 g·mL−1. With an IC50 value of 55.91 g·mL−1, the synthesized ZnFe2O4/cellulose nanocomposites demonstrate significant cytotoxicity in a dose-dependent manner against the lung cancer cell lines A549. In conclusion, nanocomposites are potential materials for usage in biomedical applications due to their affordable production and mild magnetic sensitivity.
Numerical investigation of gravity-grouted soil-nail pullout capacity in sand
Authors: Won Myoung-Soo , Sadiq Shamsher , Seo Sung-Uk , Park Jun-Yong 
Published: November 2023

Abstract
Soil nailing reinforces soil slopes and retaining walls by installing reinforcing elements into the soil, which rely on bonding strength with surrounding soil to transfer axial forces. This study focuses on the pullout capacity evaluation of grouted soil-nailing, which is conventionally determined through costly and time-intensive site-specific field pullout tests or simplified design methods, Federal Highway Administration (FHWA), and Effective Stress Method (ESM). However, these methods neglect important soil nail configuration parameters governing the pullout capacity. To address this limitation, we present a parametric study on a validated Finite-Element model using PLAXIS 3D to comprehensively investigate the pullout characteristics of grouted soil nailing. The study considers various factors such as sand relative densities, lengths, diameters, and inclination angles of the soil nails. The results reveal that the pullout capacity is significantly influenced by the sand relative density, diameter, and the length of the nailing, while the angle of inclination has only a marginal effect. The comparison with FHWA and ESM methods shows significant scatter, attributed to their lack of consideration for these governing parameters in determining pullout capacity. These findings provide valuable insights into the design and optimization of grouted soil nailing pullout capacity for geotechnical applications.
A deep learning multimodal fusion framework for wood species identification using near-infrared spectroscopy GADF and RGB image
Authors: Pan Xi , Yu Zhiming , Yang Zhong 
Published: November 2023

Abstract
Accurate and rapid wood species identification is vital for wood utilization and trade. This goal is achievable with the fast development of deep learning (DL). Several studies have been published related to this topic; however, they were limited by their generalization performance in practical applications. Therefore, this study proposed a DL multimodal fusion framework to bridge this gap. The study utilized a state-of-the-art convolutional neural network (CNN) to simultaneously extract both short-wavelength near-infrared (NIR) spectra and RGB image feature, fully leveraging the advantages of both data types. Using portable devices for collecting spectra and image data enhances the feasibility of onsite rapid identification. In particular, a two-branch CNN framework was developed to extract spectra and image features. For NIR spectra feature extraction, 1 dimensional NIR (1D NIR) spectra were innovatively encoded as 2 dimensional (2D) images using the Gramian angular difference field (GADF) method. This representation enhances better data alignment with CNN operations, facilitating more robust discriminative feature extraction. Moreover, wood’s spectral and image features were fused at the full connection layer for species identification. In the experimental phase conducted on 16 difficult-to-distinguish wood samples from the Lauraceae family, all achieved identification metrics results exceed 99 %. The findings illustrate that the proposed multimodal fusion framework effectively extracts and fully integrates the wood’s features, thereby, improving wood species identification.
Harmonic power sharing control using adaptive virtual harmonic impedance in islanded microgrids
Authors: Kim Sunghyok , Hyon Songchol , An Yongil 
Published: November 2023

Abstract
Existence of nonlinear loads makes load power sharing more challenging in the islanded microgrids. Conventional droop control may cause the poor harmonic power sharing among the distributed generations (DGs) due to the mismatched line impedance. This paper proposes an adaptive regulation method of the virtual harmonic impedance for the accurate harmonic power sharing. Consensus algorithm is used to regulate adaptively the virtual harmonic impedance according to the harmonic power sharing error among the DGs with considering of the mismatched line impedance. This method does not require the prior knowledge of the line impedance. The feasibility of the proposed method is demonstrated by simulation result for achieving the accurate harmonic power sharing to reduce the voltage distortion at the point of common coupling (PCC).
Orbital angular momentum multiplexing holography based on multiple polarization channel metasurface
Authors: Wang Yue , Yao Zhenyu , Cui Zijian , Sun Guangcheng , Zhang Dachi 
Published: November 2023

Abstract
As a high-degree-of-freedom approach to manipulate the electromagnetic wave, metasurfaces are widely used in high-capacity information technology. Extensive investigations have explored multiplexing techniques using polarization, incident angle, wavelength, and infinite-dimensional multiplexing through Orbital Angular Momentum (OAM). However, due to the limited spatial resolution and array size of the metasurface, the number of multiplexing channels that can be actually realized is limited. Therefore, research on the combination of OAM multiplexing and polarization degrees of freedom is of great significance. Here, we propose and experimentally demonstrate a metasurface holography multiplexing scheme based on multiple polarization channels combined with OAM. Taking advantage of the orthogonal independence of spin angular momentum and orbital angular momentum, multiple OAM multiplexing holograms are constructed in multiple different spin-polarization channels. Utilizing the well-established compatibility between OAM multiplexing and polarization multiplexing, we successfully integrated two multiplane holograms and 15 OAM multiplexing holograms on a single metasurface. Subsequently, we introduced an optical nested encryption framework designed for parallel communication. This work facilitates high-capacity and high-security holography by employing multiplexing metasurfaces, thereby providing innovative design concepts for optical communication, information encryption, and related domains.
The crystal structure of monocarbonyl-2-carboxypyridinato-κ2N,O-triphenylphosphine-rhodium(I) acetonitrile solvate, C26H20.50N1.50O3PRh
Authors: Elmakki Mohammed A. , Taoana Thato N. , Mosese Setjhaba V. , Brink Alice , Venter Johan A. 
Published: November 2023

Abstract
C26H20.50N1.50O3PRh, monoclinic, C2/c (no. 15), a = 30.5215(9) Å, b = 8.7529(2) Å, c = 22.4219(11) Å, β = 132.137(1)∘, V = 4441.9(3) Å3, Z = 8, R
gt(F) = 0.0305, wR
ref(F
2) = 0.0615, T = 100 K.
A novel immune-associated prognostic signature based on the immune cell infiltration analysis for hepatocellular carcinoma
Authors: Lin Xinrong , Tian Chuan , Pan Fan , Wang Rui 
Published: November 2023

Abstract

Objectives
Immune-related genes (IRGs) in hepatocellular carcinoma (HCC) are significantly associated with both tumor-infiltrating immune cells (TICs) and disease prognosis. Therefore, exploring the correlation between IRGs with HCC and its related mechanism will provide new evidence for the diagnosis and treatment of HCC.

Methods
The current paper analyzed the TICs in 374 HCC samples retrieved from the TCGA-LIHC dataset using ssGSEA and divided them according to the level of immune cell. A total of 177 differentially expressed genes (DEGs) were analyzed by protein-protein interaction (PPI) networks and univariate and multivariate Cox regression analyses.

Results
Four IRGs (C7, CTSV, MMP1, and VCAN) were found to be indicators of the immune prognosis for HCC according to the PPI network and Cox regression analyses of 177 DEGs, which was independently validated using an external dataset. A prognosis risk model was constructed for factors dependent on the four IRGs. Prognostic risk was associated with the subtype of infiltrating immune cells.

Conclusions
Four effective IRGs were identified as novel independent prognostic factors that were correlated with tumor immune infiltration in HCC. This signature may guide the choice of immunotherapy for HCC.
One, Two, Three! Can Everybody Hear Me? Acoustics of Roman Contiones. Case Studies of the Capitoline Hill and the Temple of Bellona in Rome
Authors: Kopij Kamil , Pilch Adam , Drab Monika , Popławski Szymon 
Published: November 2023

Abstract
Rhetoric was one of the cornerstones of Roman education and public speaking, the essence of being a Roman politician. The speakers attempted to captivate the audience with their style and convince them of their arguments. Studying the audience is therefore just as important as investigating the speakers and their speeches. The aim of this article is to estimate the number of people who could intelligibly hear a speaker delivering a speech from two speaking platforms located in the city of Rome: the podium of the Temple of Bellona in the Campus Martius (in the Late Republican and Late Augustan periods) and the Capitoline Temple. To do this, we built virtual reconstructions of both venues according to the current state of knowledge about them, taking into account the geometry of the space as well as the materials from which they were built. On the models thus prepared, we carried out acoustic simulations for three different levels of background noise (36, 49, and 55 dBA), resulting in Speech Transmission Index maps. The results became the basis upon which we estimated the size of the maximum potential crowds that could hear speech intelligibly, using two methods based on the behaviour of contemporary crowds. We further compared our results with those of previous studies that concern other speaking platforms in Rome.
Eco-friendly HPLC method by using response surface design to measure a combination of three antidiabetic drugs
Authors: Al-Tannak Naser F. , Hemdan Ahmed 
Published: November 2023

Abstract
In recent years, there has been a significant increase in the application of green chemistry principles in analytical chemistry. One of the key factors affecting the environmental sustainability of analytical methods is the choice of solvent. In this particular study, a two-factor, three-level response surface design was employed to develop an environmentally friendly chromatographic technique for a mixture of metformin, glimepiride, and pioglitazone. Ethanol, which is known to be harmless to the environment, was chosen as the organic modifier in the mobile phase. The separation of the mixture was achieved using a phosphate buffer solution (pH 3) mixed with ethanol (30:70 v/v). The linearity of the developed method covered a concentration of metformin of 10–120 µg·mL−1 with a correlation coefficient of 0.9998, glimepiride of 0.1–20 µg·mL−1 with a correlation coefficient of 0.9997, and pioglitazone of 1–50 µg·mL−1 with a correlation coefficient of 0.9999. To evaluate the environmental friendliness of the developed method, two assessment tools were employed: The Analytical GREEnness metric and Green Analytical Procedure Index. The results revealed that the developed method performed exceptionally well in terms of its eco-friendliness. Furthermore, the developed method was compared to other reported methods in terms of both accuracy and environmental sustainability. The results demonstrated that the developed method serves as an excellent alternative to well-established techniques for the separation and quantification of the analyzed mixture. Overall, this study highlights the importance of integrating green chemistry principles into analytical chemistry practices.
The polysemic meaning chain of the genitive case in Polish
Authors: Twardzisz Piotr 
Published: November 2023

SummaryThe Polish genitive case is explored from the point of view of its proposed polysemy. We adopt the view that the genitive represents an instance of structured polysemy (Nikiforidou 1991). Like Nikiforidou, we reject the opinion that the genitive instantiates accidental homonymy or shows general single meaning. Our analysis demonstrates that several meanings we identified are intricately tied to each other. There are two prototypical meanings with their several semantic extensions, the latter departing from the former. Contrary to Nikiforidou’s proposal of the genitive as a “radial category” (Lakoff 1987), we support an alternative model. In our view, structured polysemy found in the genitive is better handled by a model referred to as the “meaning chain” (Taylor 1988). Some of the meanings identified are motivated by other meanings in the chain, without directly relying on some semantic centre. Our description of the Polish genitive sheds new light on the holistic semantics of this category with allegedly only grammatical meaning.
‘Arriving at moral Perfection’: Benjamin Franklin und seine russischen Nachfolger (Andrej Turgenev, Vasilij Žukovskij, Dmitrij Begičev)
Authors: Borisova Natalia 
Published: November 2023

SummaryThe article examines how Benjamin Franklin’s ideas of self-improvement were adopted in Russia. The concept of the new creation of the self is one of Benjamin Franklin’s the most popular ideas. Since the first publication of Franklin’s Autobiography the idea of self-improvement became a genuine part of the very American ideology of the self-made man. After Andrej Turgenev published his translation of Franklin’s Autobiography in Moscow in 1799, Franklin’s method went on to enjoy a widespread triumph in imperial Russia. Andrey Turgenev’s and Vasilij Zhukovskij’s diaries, Alexander Griboedov’s comedy Gore ot uma(1825) and Dmitrij Begichev’s novelSemeystvo Kholmskikh(1832) can help us to trace this Russian history of Franklin’s method and show how Russian followers of Franklin modified and adapted his concept.
Interkulturelle Szenarien in der performativen Medien als Eye-Opener
Authors: Vill Susanne 
Published: November 2023

Der Text basiert auf einem soziologischen Blick auf die Behandlung von Interkulturalität im Theater und in der Mediengeschichte. Die transmediale Auswahl und Beschreibung stellt Präsentationen vor und diskutiert die Effizienz von inter- und transkulturellen Themen und Motiven in Aufführungen von Theater, Oper, Musical, in Filmen und TV-Serien. Im Theater und in den Medien können Fremde, Indigene und transhumane Figuren das Verständnis und die Akzeptanz von verschiedenen Kulturen fördern. Die Beispiele stammen aus einem Zeitraum von 500 v. Chr. bis heute und stellen Möglichkeiten der Medien dar, die Akzeptanz des Fremden in kulturellen Integrationsprozessen zu unterstützen.
Effect of Using Different Intensities in Resistance Training for Muscle Hypertrophy Gains—A Narrative Review
Authors: Callegari Irineu O. M. , Santarem Pedro S. M. , Arrivabene Thiago T. , Oliveira Alexandre G. 
Published: November 2023

ABSTRACT
Resistance training or strength training has become one of the most popular forms of exercise, because it is the only method capable of improving physical fitness and increasing muscle mass simultaneously. Among the variables of training, the relationship between intensity and volume has been extensively addressed to enhance exercise-induced muscular hypertrophy. For many, mechanical stress is seen as a factor of greater relevance and, because high loads promote greater mechanical tension and high intensities are traditionally used to increase muscle mass. However, evidence has shown greater safety and similar results through training based on lower intensities and increased training volume. Thus, this narrative review aimed to search the current literature for evidence on using different training loads to promote muscle hypertrophy. An extensive nonsystematic literature review was conducted in the PubMed, Google Scholar and Scielo databases. It was possible to conclude that the use of high and low intensity promotes similar results in muscle hypertrophy in all groups, leading to the belief that there is greater safety and adherence to the use of lower intensities compared with close effort to concentric failure.
See Video 1—Video Abstract—http://links.lww.com/SCJ/A403.