bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of Front Desk Staff Service Quality on Customer Satisfaction in Some Selected Hotels in Tamale Metropolis
Authors: Alhassan Shafawu , Bariham Iddrisu , Olu Ellen Louisa 
Published: March 2024

The hotel sub-sector provides a plethora of services to stimulate the growth of the tourism sector. As a result, numerous governments offered a lot of incentives to support the growth of the hotel businesses in Ghana. However, it seems most of the hotels in the hospitality industry including those in Tamale Metropolis are not meeting the quality standards expected of them in connection with service delivery, good customer relationships, sufficient facilities, and provision of confidence and trust of services offered. The study, therefore, examined the effects of front desk staff service quality on customer satisfaction in some selected hotels in Tamale Metropolis. The SERVQUAL Model served as the study's foundation. The study employed cross-sectional survey design. Multi-stage sampling strategy was used. A convenient sampling approach was employed to select the 2 hotels in the Metropolis for the research. Statistical Package for Social Sciences (SPSS) version 22 was used to analyze the data. The study found that guests had a positive perception of front desk staff at the two hotels. However, most of the guests did not have confidence that front desk staff inspire visitors, and that information about the two hotels was not sufficiently available. It was further revealed that front desk staff service quality significantly affects customer satisfaction. However, treatment equality, attention to details, and front desk staff language proficiency were the factors the front desk staff lack. The study recommends hoteliers engage highly motivated front desk staff; capacity building of front desk staff on how to inspire visitors to attract more customers; and training of front desk staff on how to be more attentive to guests' needs and preferences in order to improve the guest stay and overall experience.
Zur Entwicklung der Interpunktion in der Luther-Bibel
Authors: Rinas Karsten 
Published: March 2024

Abstract
This study examines the development of punctuation in the Luther Bible in the period between 1522 and 2017 based on a passage from the Gospel of Matthew in 82 editions. The analysis is quantitative, qualitative, and at the same time hermeneutical: by repeatedly recalling the original printings, the aim is to capture all the relevant factors for historical punctuation. Among other things, aspects of the general text structure and line breaks are taken into account. From a syntactic point of view, various special cases are discussed, such as punctuation in non-sentential prepositional groups and in infinitives to block misinterpretation, but also the lack of punctuation in ›incorporated‹ main clauses. Furthermore, it is shown how the modern syntax-based punctuation since the middle of the 19th century runs counter Luther’s listener-oriented sentence construction.
Evidentialität in autochthonen altgermanischen Schriftdenkmälern im Vergleich zur deutschen Gegenwartssprache
Authors: Kotin Michail L. 
Published: March 2024

Abstract
The paper presents a diachronically based concept of the evidential function in the language. It is argued for a specific discourse evidentiality of the oldest autochthonic German poetry which encoded not epistemic interpretations of outer sources of information, but rather a strong guarantee for the truth of reported events. The origins of this kind of evidentiality can be found both in ontogenesis of a given language, e. g. language acquisition, and in its phylogenesis.
A new approach for heart disease detection using Motif transform-based CWT’s time-frequency images with DenseNet deep transfer learning methods
Authors: Tekin Hazret , Kaya Yılmaz 
Published: March 2024

Abstract
Objectives: Electrocardiogram (ECG) signals are extensively utilized in the identification and assessment of diverse cardiac conditions, including congestive heart failure (CHF) and cardiac arrhythmias (ARR), which present potential hazards to human health. With the aim of facilitating disease diagnosis and assessment, advanced computer-aided systems are being developed to analyze ECG signals. Methods: This study proposes a state-of-the-art ECG data pattern recognition algorithm based on Continuous Wavelet Transform (CWT) as a novel signal preprocessing model. The Motif Transformation (MT) method was devised to diminish the drawbacks and limitations inherent in the CWT, such as the issue of boundary effects, limited localization in time and frequency, and overfitting conditions. This transformation technique facilitates the formation of diverse patterns (motifs) within the signals. The patterns (motifs) are constructed by comparing the amplitudes of each individual sample value in the ECG signals in terms of their largeness and smallness. In the subsequent stage, the obtained one-dimensional signals from the MT transformation were subjected to CWT to obtain scalogram images. In the last stage, the obtained scalogram images were subjected to classification using DenseNET deep transfer learning techniques. Results and Conclusions: The combined approach of MT + CWT + DenseNET yielded an impressive success rate of 99.31 %.
Modeling of reaction–desorption process by core–shell particles dispersed in continuously stirred tank reactor (CSTR)
Authors: Cho Young-Sang , Nguyen Hoai-Han 
Published: March 2024

Abstract
Transient responses of reaction–desorption process were predicted from mathematical solutions of modeling equations for CSTR (continuously stirred tank reactor) containing core–shell adsorbent particles. Analytical solutions on the core–shell particles were derived for core–shell spherical, cylindrical, and slab-type morphologies, assuming inert-cores. Unlike continuous adsorber, CSTRs for reaction–desorption process containing spherical particles exhibited the slowest reduction rate of concentration of adsorbate, because the amount of adsorbed component on the particles is the largest among three kinds of particle shapes. Factors affecting the transient concentration in bulk medium of reaction–desorption process were investigated by adjusting inert-core thickness, inlet flow rate, initial concentration of reactant in inflow stream, amount of adsorbent, and Thiele modulus. Concentration profile inside the particles as well as average intra-particle concentration could be also predicted for comparison with bulk concentration of CSTR. For non-linear isotherm and non-linear reaction kinetics, concentration of active component could be predicted by solving non-linear coupled differential equation using finite element method. For connected CSTRs in series, systems of reaction-diffusion equations were solved by finite element method to study the effect of number of connected reactors. When the number of reactors was sufficiently large, the reactor system could be approximated to fixed bed reactor for reaction–desorption process.
Comprehensive performance evaluation based on electromagnetic shielding properties of the weft-knitted fabrics made by stainless steel/cotton blended yarn
Authors: Li Ning , Liu Tianjiao , Tian Mengqi , Duan Junrui , Yao Mu , Sun Runjun 
Published: March 2024

Abstract
Electromagnetic shielding (EMS) fabric is an effective way to prevent electromagnetic (EM) radiation. However, the research about mechanism analysis of the fabrics’ structure, EM wave (EMW) incident direction, and EMW frequency on the EMS properties of knitted fabrics is discordant at present. Meanwhile, researchers are focused on improving the EMS efficiency of the fabric but rarely discussed the thermal-wet comfort of the fabric. Therefore, in this study a series of weft-knitted fabrics within stainless steel/cotton (30/70) blended yarns were knitted, and the effects of EMW incident direction, stitches, loop lengths, and frequency on EMS effectiveness (EMSE) were analyzed. Meanwhile, the EMS property, warmth retention property, air permeability, moisture permeability, and bursting strength were selected as the evaluation index to evaluate the comprehensive properties of the fabrics by fuzzy mathematics. The results showed that all factors had different degrees of influence on EMSE, and the weft inlay stitch had both the functionality and thermal-wet comfort, which was excellent EMSE in knitted fabric. These results are expected to provide a reference to the design of EMS weft-knitted fabrics.
A review of theories, pedagogies and vocabulary learning tasks of English vocabulary learning apps for Chinese EFL learners
Authors: Li Congxin 
Published: March 2024

Abstract
Among a growing body of mobile-assisted-language-learning (MALL) studies, vocabulary application (app) studies have comprised an unprecedented proportion. However, there has been insufficient discussion about the fundamental language learning theories and pedagogies underlying app design. This study aims to fill this gap by conceptualising and theorising the design of English vocabulary learning apps with a focused analysis of their task features with relation to vocabulary learning strategies (VLS), language learning theories and pedagogies. Four Chinese–English vocabulary learning apps were purposively sampled. The results show that the design of the four evaluated apps incorporates principles from four distinct language learning theories: behaviourism, input-based emergentism, sociocultural theory and information and cognitive processing theories. The four apps’ tasks and user interfaces were analysed to generate codes for task classification. These task-related codes were further classified under the categories of Schmitt’s VLS taxonomy and under pedagogical categories based on the definitions of pedagogies and VLS codes and the intended classroom practice. Vocabulary pedagogies were further linked with theories to shed light on the theoretical foundations for the apps’ use of learning tasks and VLS as well as on the pedagogical prospects of vocabulary learning apps.
Isotopic effects on in-plane hyperbolic phonon polaritons in MoO3
Authors: Schultz Jeremy F. , Krylyuk Sergiy , Schwartz Jeffrey J. , Davydov Albert V. , Centrone Andrea 
Published: March 2024

Abstract
Hyperbolic phonon polaritons (HPhPs), hybrids of light and lattice vibrations in polar dielectric crystals, empower nanophotonic applications by enabling the confinement and manipulation of light at the nanoscale. Molybdenum trioxide (α-MoO3) is a naturally hyperbolic material, meaning that its dielectric function deterministically controls the directional propagation of in-plane HPhPs within its reststrahlen bands. Strategies such as substrate engineering, nano- and hetero-structuring, and isotopic enrichment are being developed to alter the intrinsic dielectric functions of natural hyperbolic materials and to control the confinement and propagation of HPhPs. Since isotopic disorder can limit phonon-based processes such as HPhPs, here we synthesize isotopically enriched 92MoO3 (92Mo: 99.93 %) and 100MoO3 (100Mo: 99.01 %) crystals to tune the properties and dispersion of HPhPs with respect to natural α-MoO3, which is composed of seven stable Mo isotopes. Real-space, near-field maps measured with the photothermal induced resonance (PTIR) technique enable comparisons of in-plane HPhPs in α-MoO3 and isotopically enriched analogs within a reststrahlen band (≈820 cm−1 to ≈972 cm−1). Results show that isotopic enrichment (e.g., 92MoO3 and 100MoO3) alters the dielectric function, shifting the HPhP dispersion (HPhP angular wavenumber × thickness vs. IR frequency) by ≈−7 % and ≈+9 %, respectively, and changes the HPhP group velocities by ≈±12 %, while the lifetimes (≈3 ps) in 92MoO3 were found to be slightly improved (≈20 %). The latter improvement is attributed to a decrease in isotopic disorder. Altogether, isotopic enrichment was found to offer fine control over the properties that determine the anisotropic in-plane propagation of HPhPs in α-MoO3, which is essential to its implementation in nanophotonic applications.
Climate change and adaptive strategies on viticulture (Vitis spp.)
Authors: Atak Arif 
Published: March 2024

Abstract
Climate change has many negative effects on the viticulture sector, as it does in all sectors. In recent years, global climate change has also shown its effect in the form of sudden climatic events. There is an urgent need to develop preventive/protective activities for all plant species in order to prevent the increasing world population from being negatively affected by many negative consequences of climate change such as increasing temperatures, drought, floods, and sudden climatic events. Grape industry is among the sectors that feel the negative effects of climate change the most, and this effect is increasing every year. Along with global warming, there are also important problems in accessing water. Particularly, there is a need to develop cultivars that are more resistant to drought stress and to make applications that will protect grapevine plants from drought stress. One of the most important issues to be overcome is to develop new cultivars that can withstand different stress conditions and to use them more in production. In addition, environmental and human health awareness is increasing day by day. Adaptation strategies to be taken against the negative effects of climate change and the studies to be carried out, as well as the use of new environmentally friendly varieties (requiring less input costs) to be developed in accordance with the sustainable agriculture model, will make significant contributions to protecting both the environment and human health.
Information Content of Inflation Expectations: A Copula-Based Model
Authors: Ardakani Omid M. 
Published: March 2024

Abstract
This paper introduces a holistic framework that integrates copula modeling and information-theoretic measures to examine the information content of inflation expectations. Copulas are used to capture the dynamic dependence between inflation and expectations, accounting for extreme events and tail dependence. Information-theoretic measures are employed to quantify the information that expectations provide about inflation. Theoretical results establish a link between copula entropy and mutual information, propose a lower bound for copula entropy, and provide a practical tool for central banks to anchor expectations to achieve inflation targets. Empirical findings reveal higher uncertainty in the tails of the joint distribution and underscore the meaningful information carried by expected inflation for forecasting inflation, particularly with shorter-term expectations.
Gesture and force sensing based on dielectric elastomers for intelligent gloves in the digital production
Authors: Gratz-Kelly Sebastian , Philippi Daniel , Fasolt Bettina , Nalbach Sophie , Motzki Paul 
Published: March 2024

AbstractDue to recent progress in human-machine interaction the development of interfaces ensuring a safe collaboration between handling devices and workers is gaining in importance and impact to the industry field. For an adequate operation, combined sensing and actuation capabilities are sufficient for interaction units. Smart materials like dielectric elastomers (DEs) are predestinated for integrated multi-functional applications. DEs are lightweight, high energy density and highly stretchable transducers suitable for many different operation areas, like movement tracking, force sensing, haptic feedback and sound generation and can be used to develop highly integrated textile-based user interfaces. This paper shows first results on the development of a novel intelligent glove prototype based on DE elements. The main focus of this investigation lies on DE-based integrated joint angle and force measurement units as well on a cost-efficient and slim sensing electronic. By embedding the resulting system in an Industry 4.0 environment, an adaptive assistance tool can be developed. The resulting system can be used to monitor the desired motion of a worker and to respond with a corresponding haptic feedback, which depends on the specific interaction task. This makes the resulting system a novel, portable assistant tool for industrial environments.
Geometrical factor, bond order analysis, vibrational energies, electronic properties (gas and solvent phases), topological and molecular docking analysis on Ipriflavone-osteoporosis diseases
Authors: Joseph Davidwilliams Marlin Leena , Selvaraj Stella Mary , Purushothaman Sangeetha , Kadaikunnan Shine , Alharbi Naiyf S. , Sambantham Muthu 
Published: March 2024

Abstract
In this research project, a computational assessment of the molecular structure of Ipriflavone (IP) in the gaseous phase was done based on density functional theory (DFT). In the realm of theory, the standard basis set B3LYP is a collection of functions used with linear combinations to produce molecular orbitals, making it simple to compute the molecular structure related to the given compound. With the time-dependent DFT approach, the UV spectra obtained for various solvents were used for examining the electronic transport features. A three-dimensional representation of the molecules that shows the charge distributions and charge-related characteristics of the molecule has the acronym the electrostatic potential map. The frontier molecular orbitals (FMO) confirmed the compound’s stability and good reactivity. Hyperpolarizability calculations were performed with good non-linear optical (NLO) potent. Natural bond orbital (NBO) analysis was used to explore charge delocalization and the compound’s stability. Topological investigations have been identified to clarify the bonding zones, weakest contacts, and electron energy density. Drug likeness studies were used to promote bioactivities. The outcome of docking tests shows that the ligand under investigation is beneficial at preventing bone loss-osteoporosis. To sum up, this work provides a comprehensive analysis that combines spectroscopic and quantum computational techniques to assess the effect of specific medicinal compounds on solvation and metabolic activity. Strategies for subsequent studies can thus greatly benefit from the knowledge obtained.
Encoding of visual objects in the human medial temporal lobe
Authors: Wang Yue , Cao Runnan , Wang Shuo 
Published: March 2024

The human medial temporal lobe (MTL) plays a crucial role in recognizing visual objects, a key cognitive function that relies on the formation of semantic representations. Nonetheless, it remains unknown how visual information of general objects is translated into semantic representations in the MTL. Furthermore, the debate about whether the human MTL is involved in perception has endured for a long time. To address these questions, we investigated three distinct models of neural object coding—semantic coding, axis-based feature coding, and region-based feature coding—in each subregion of the MTL, using high-resolution fMRI in two male and six female participants. Our findings revealed the presence of semantic coding throughout the MTL, with a higher prevalence observed in the parahippocampal cortex (PHC) and perirhinal cortex (PRC), while axis coding and region coding were primarily observed in the earlier regions of the MTL. Moreover, we demonstrated that voxels exhibiting axis coding supported the transition to region coding and contained information relevant to semantic coding. Together, by providing a detailed characterization of neural object coding schemes and offering a comprehensive summary of visual coding information for each MTL subregion, our results not only emphasize a clear role of the MTL in perceptual processing but also shed light on the translation of perception-driven representations of visual features into memory-driven representations of semantics along the MTL processing pathway.Significance StatementIn this study, we delved into the mechanisms underlying visual object recognition within the human medial temporal lobe (MTL), a pivotal region known for its role in the formation of semantic representations crucial for memory. In particular, the translation of visual information into semantic representations within the MTL has remained unclear, and the enduring debate regarding the involvement of the human MTL in perception has persisted. To address these questions, we comprehensively examined distinct neural object coding models across each subregion of the MTL, leveraging high-resolution fMRI. We also showed transition of information between object coding models and across MTL subregions. Our findings significantly contributes to advancing our understanding of the intricate pathway involved in visual object coding.
IGF-2-mediated hypoglycemia: a case series and review of the medical therapies for refractory hypoglycemia
Authors: Vu Albert , Chik Constance , Kwong Sarah 
Published: March 2024

Summary
Non-islet cell tumour hypoglycemia (NICTH), typically mediated by insulin-like growth factor 2 (IGF-2), is a rare but highly morbid paraneoplastic syndrome associated with tumours of mesenchymal or epithelial origin. Outside of dextrose administration and dietary modification which provide transient relief of hypoglycemia, resection of the underlying tumour is the only known cure for NICTH. Available medical therapies to manage hypoglycemia include glucocorticoids, recombinant growth hormone, and pasireotide. We report two cases of IGF-2 mediated hypoglycemia. The first was managed surgically to good effect, highlighting the importance of a timely diagnosis to maximise the likelihood of a surgical cure. The second patient had unresectable disease and was managed medically, adding to a growing number of cases supporting the efficacy of glucocorticoids and recombinant growth hormone in NICTH.

Learning points

Recurrent fasting hypoglycemia in the setting of a malignancy should raise suspicion of non-islet cell tumour hypoglycemia (NICTH), which is typically mediated by IGF-2.

The initial workup for NICTH should include a serum glucose, C-peptide, insulin, insulin antibodies, beta-hydroxybutyrate, IGF-2, IGF-1, and sulphonylurea screen during a spontaneous or induced hypoglycemic episode.

An IGF-2/IGF-1 ratio above 10 is highly suggestive of IGF-2-mediated hypoglycemia if the IGF-2 level is normal or elevated. False positives may be seen with sepsis and cachexia as both IGF-2 and IGF-1 are subnormal in these cases. A low IGF binding protein 3 (IGFBP3), such as in renal failure, may also result in a falsely normal or low IGF-2/IGF-1 ratio.

Surgical resection of the associated tumour is curative in most NICTH cases.

When the tumour is unresectable, moderate-dose glucocorticoids, low-dose glucocorticoids in combination with recombinant growth hormone, and pasireotide are medical therapies with promising results in controlling NICTH.