bluuebunny/crossref_metadata_2025_split huggingface dataset:
Abrus precatorius Leaf Extract Stimulates Insulin-mediated Muscle Glucose Uptake: In vitro Studies and Phytochemical Analysis
Authors: Lankatillake Chintha , Huynh Tien , Dias Daniel A 
Published: March 2024

AbstractDiabetes mellitus, linked with insulin resistance and hyperglycaemia, is a leading cause of mortality. Glucose uptake through glucose transporter type 4, especially in skeletal muscle, is crucial for maintaining euglycaemia and is a key pathway targeted by antidiabetic medication. Abrus precatorius is a medicinal plant with demonstrated antihyperglycaemic activity in animal models, but its mechanisms are unclear.This study evaluated the effect of a 50% ethanolic (v/v) A. precatorius leaf extract on (1) insulin-stimulated glucose uptake and (2) related gene expression in differentiated C2C12 myotubes using rosiglitazone as a positive control, and (3) generated a comprehensive phytochemical profile of A. precatorius leaf extract using liquid chromatography-high resolution mass spectrometry to elucidate its antidiabetic compounds.
A. precatorius leaf extract significantly increased insulin-stimulated glucose uptake, and insulin receptor substrate 1 and Akt substrate of 160 kDa gene expression; however, it had no effect on glucose transporter type 4 gene expression. At 250 µg/mL A. precatorius leaf extract, the increase in glucose uptake was significantly higher than 1 µM rosiglitazone. Fifty-five phytochemicals (primarily polyphenols, triterpenoids, saponins, and alkaloids) were putatively identified, including 24 that have not previously been reported from A. precatorius leaves. Abrusin, precatorin I, glycyrrhizin, hemiphloin, isohemiphloin, hispidulin 4′-O-β-D-glucopyranoside, homoplantaginin, and cirsimaritin were putatively identified as known major compounds previously reported from A. precatorius leaf extract.
A. precatorius leaves contain antidiabetic phytochemicals and enhance insulin-stimulated glucose uptake in myotubes via the protein kinase B/phosphoinositide 3-kinase pathway by regulating insulin receptor substrate 1 and Akt substrate of 160 kDa gene expression. Therefore, A. precatorius leaves may improve skeletal muscle insulin sensitivity and hyperglycaemia. Additionally, it is a valuable source of bioactive phytochemicals with potential therapeutic use for diabetes.
Use of Negative Pressure Wound Therapy in Pedicled Flaps can Improve Graft Integration and Minimize Complications
Authors: Suarez Maria A. , Latorre Luis F. , Quintero Jorge I. ,   Hand Microsurgery Research Group
Published: March 2024

AbstractNegative pressure wound therapy (NPWT) has been used in the treatment of open fractures to improve local wound treatment, to allow skin integration when skin grafting is needed. During the last decade, the use of this device contributes to decreasing the venous congestion in microsurgical procedures in free flaps and finger replantation. The negative pressure increases the vascularization and decreases the edema, allowing the integration of tissue. Nine patients were included in this protocol. These patients had an open wound, and primary healing was not an option. Therefore, reconstructive surgery was needed. One female and eight male patients were included. Five reconstructive surgeries were performed in the lower limb and four in the upper limb due to an open fracture, skin defect secondary to infection, avulsion injury of the upper limb, and electric burn. Following the reconstructive procedure, NPWT was applied immediately peripheral to the pedicled flap. Our protocol indicates that the suction was placed for 5 days, set at continuous pressure of −100 mm Hg. At the end of the treatment, no complications were observed, and full integration of the flap was achieved. NPWT avoids local complications such as hematoma, shearing forces, and infection.
Neurological Health in Sexual and Gender Minority Individuals
Authors: Simmasalam Rubinee , Zuniga Mary C. , Hinson H.E. 
Published: March 2024

AbstractDespite representing a significant proportion of the U.S. population, there is a paucity of population-based research on the health status and health needs of sexual and gender minority (SGM) individuals in neurology. Compared with heterosexual peers, some SGM populations have a higher burden of chronic health conditions. In parallel, SGM individuals are more likely to experience stigma and discrimination producing psychological distress, which may contribute to and be compounded by reduced health care access and utilization. In this narrative review, we summarize the existing literature on common neurological health conditions such as stroke, headache, epilepsy, movement disorders, and traumatic brain injury through the lens of intersection of SGM identity. Special focus is attuned to social determinants of health and gender-affirming hormonal therapy. Given the limitations in the available literature, there is an urgent unmet need for datasets that include sexual orientation and gender identity information, as well as funding for research that will characterize the prevalence of neurological conditions, unique risk factors, and health outcomes in SGM populations. In the health care community, providers should address deficiencies in their professional training and integrate inclusive language into their clinical skillset to build trust with SGM patients. There is an opportunity in neurology to proactively engage SGM communities, collaborate to remove barriers to care, promote resilience, and develop targeted interventions to ensure high-quality, culturally competent care for SGM populations to improve neurological health for all.
Racial and Ethnic Disparities in Neurological Care in the United States
Authors: Perez Michael A. , Reyes-Esteves Sahily , Mendizabal Adys 
Published: March 2024

AbstractThe burden of neurological disease is increasing globally. In the United States, this burden is disproportionally greater for Black and Latino communities who have limited access to neurological care. Health services researchers have attempted to identify racial and ethnic disparities in neurological care and possible solutions. This article reviews the most current literature on racial and ethnic disparities in commonly encountered neurological conditions, including Stroke, Alzheimer's Disease, Multiple Sclerosis, Epilepsy, Parkinson's Disease, and Migraine. Disparities exist in disease incidence, diagnosis, access to care, treatment, outcomes, and representation in epidemiologic studies and clinical trials. Many of the disparities observed in neurological care in the United States are a consequence of longstanding racist and discriminatory policies and legislation that increase risk factors for the development of neurological disease or lead to disparities in accessing quality neurological care. Therefore, additional efforts on the legislative, community health, and healthcare system levels are necessary to prevent the onset of neurological disease and achieve equity in neurological care.
Your humanity depends on mine: the role of organizational dehumanization in the context of university studies
Authors: Ariño-Mateo Eva , Arriagada-Venegas Matías , Alonso-Rodríguez Isabel , Pérez-Jorge David 
Published: March 2024

AbstractInfrahumanization means considering the other or the outgroup as less human than oneself or the ingroup. However, little attention has been given to the variables that determine the selection of which outgroups may be subjected to infrahumanization and the variables that might be moderating this process. This research aims to analyze the role that the relationship with the outgroup plays in the attribution of secondary emotions and the moderator role of organizational dehumanization. Participants (N = 338 students) completed a structured questionnaire that took 15 min. The results show that there is an attribution of humanity to the outgroup when the relationship between ingroup and outgroup is closer. Furthermore, organizational dehumanization had a moderator role between the relationship with the outgroup and the infrahumanization, which shows that when the ingroup perceives that it is being dehumanized by its organization, it attributes less humanity to the outgroup. Our research extends the theoretical understanding of infrahumanization and suggests that the relationship between the outgroup and the organizational dehumanization impacts the attribution of humanity.
The impact of digital capabilities and dynamic capabilities on business model innovation: the moderating effect of organizational inertia
Authors: Liu Liping , Cui Lichuan , Han Qian , Zhang Chunyu 
Published: March 2024

AbstractThis study aims to investigate the impact of digital capabilities on business model innovation, and emphasizes the pivotal mediating role of dynamic capabilities, comprising sensing, seizing, and reconfiguring resources, in translating digital strengths into innovative business models. And also uncovers a nuanced perspective on organizational inertia, showcasing its potential to positively moderate the relationship between digital capabilities and business model innovation. A questionnaire-based, time-lagged study with a 1-week interval. From January 2023 to March 2023, we collected a total of 262 questionnaires from entrepreneurs located in the Pearl River-West River Economic Belt, such as Guangzhou and Nanning, China. To analyse the moderation and mediation model, we utilized The PROCESS Model 5. Digital capabilities have a positive impact on the innovation of enterprises’ business models. Moreover, the connection between digital capabilities and business model innovation is mediated by dynamic capability. The findings also illustrate that organisational inertia moderates the relationship between digital capabilities and business model innovation. This study contributes to the existing literature on enterprise sustainable development by shedding light on the mediating and moderating mechanisms through which digital capabilities enhance business model innovation in enterprises. These findings offer valuable insights for enterprises aiming to thrive in dynamic markets, emphasizing the importance of a balanced approach to digital innovation, and instrumental for entrepreneurs seeking to refine their organisational strategies, particularly by bolstering their digital capabilities.
Analysis of the funding of social services from a spatial approach in Andalusia (Spain)
Authors: Salinas-Perez Jose A. , Ruiz-Ballesteros Esteban , González-Portillo Auxiliadora 
Published: March 2024

AbstractIn Andalusia, Community Social Service Centres (CSSCs) are funded by regulations following demographic, geographic, economic, and social disadvantage criteria. This study aims to analyse the geographical distribution of funding per inhabitant of CSSC by catchment area in Andalusia in 2019, and to study the statistical associations between funding and a range of demographic and socioeconomic indicators. The study spatial units (n = 184) included the catchment areas of CSSCs and, in the case of intramunicipal areas in large municipalities, they were grouped at the municipal level. Spatial autocorrelation measures were used to identify spatial clusters of high/low funding rates per inhabitant. Later, nonspatial and spatial regressions were applied to search for associations with different indicators (sex ratio, ageing index, dependency index, emigration rate, immigration rate, unemployment rate, population density, and employment rate in the primary sector). The geographical distribution of the funding of social services in Andalusia was not random since the analyses identified several spatial clusters with significantly high (hot spots) and low (cold spots) funding per inhabitant (p < 0.05). The funding rates were significantly (p < 0.05) and directly associated with the ageing index and the percentage of primary sector employees, and indirectly with the proportion of foreigners in the population and the population density. The hot spots were mainly located in rural and deprived areas, while the cold spots were in urban areas. The variables related to the regulated funding distribution criteria were not fully associated with higher financing. Instead, other additional variables showed significant associations (p < 0.05), such as primary-sector workers and foreign populations. The results showed that spatial analyses may support service assessment and decision-making in social policy.
Translations in Children’s Paradise (1970–1979): the Union’s agendas and the Cold War cultural diplomacy in Hong Kong
Authors: Li Xueyi 
Published: March 2024

AbstractDuring the Cold War era, translation constituted an integral part of the ideological confrontations of US cultural diplomacy. Scholarly discussions on US-associated cultural products have provided insights from the perspective of American patronage, yet have not adequately addressed the diverse role of unofficial agencies in their cultural practices with multiple intentions. This study analyzes Chinese translations in the magazine Children’s Paradise (CP) operated by the Union, an entity involved in the network of American covert cultural diplomatic activities. It delves into the Union’s agenda of furthering a progressive Chinese nation that continues and revitalizes Chinese civilization by analyzing three marked characteristics of the translated texts and their underlying rationales. It finds that, through deliberate omissions, substitutions, and additions, CP demonstrated a relentless commitment to the Union’s China-centric agendas in its domesticated and adapted translations. Despite sharing the anti-communist conviction associated with American interests, CP leveraged localized practices to engage with the social-political issues of the British-ruled Hong Kong of the 1970s. As a result, it generated cultural outcomes exceeding the Cold War polarities, and left a lasting legacy on the younger generation of Hong Kong.
Room-temperature, RF-activated, quantum effects via engineered defect sites in thin-film AlN, Al2O3, and SnOx
Authors: Anwar Farhana , Coutu Ronald A. , Mahbub Rafee 
Published: March 2024

The behavior of a sine wave propagated through thin films of aluminum nitride (AlN), aluminum oxide (Al2O3), and tin oxide (SnOx) with engineered buried defect sites may suggest quantum excitation and defect-mediated waveform modulations. Two distinct methods to induce these buried defects, etch pattern defects (EPD) and indentation pattern defects (IPD), were employed to detect these interactions. All the experiments were conducted at room temperature (21 °C) over a frequency range between 5 and 1000 kHz. In addition, EPD and IPD devices were composed of AlN, Al2O3, and SnOx. An inverse relationship between excitation frequency and voltage is observed for all devices. All these devices exhibited a relaxation time ranging between 0.2 and 0.75 µs. Devices without these engineered defect sites preserve the waveform integrity, emphasizing the impact of the buried defect sites. This research focuses on the relationship between defect type, excitation frequency, and voltage to understand the deeper mechanisms at play in these quantum defect-driven wave alterations in AlN, Al2O3, and SnOx thin films.
A machine learning approach for determining temperature-dependent bandgap of metal oxides utilizing Allen–Heine–Cardona theory and O’Donnell model parameterization
Authors: Nandi Tarak , Chong Leebyn , Park Jongwoo , Saidi Wissam A. , Chorpening Benjamin , Bayham Samuel , Duan Yuhua 
Published: March 2024

To evaluate the high temperature sensing properties of metal oxide and perovskite materials suitable for use in combustion environments, it is necessary to understand the temperature dependence of their bandgaps. Although such temperature-driven changes can be calculated via the Allen–Heine–Cardona (AHC) theory, which assesses electron–phonon coupling for the bandgap correction at given temperatures, this approach is computationally demanding. Another approach to predict bandgap temperature-dependence is the O’Donnell model, which uses analytical expressions with multiple fitting parameters that require bandgap information at 0 K. This work employs data-driven Gaussian process regression (GPR) to predict the parameters employed in the O’Donnell model from a set of physical features. We use a sample of 54 metal oxides for which density functional theory has been performed to calculate the bandgap at 0 K, and the AHC calculations have been carried out to determine the shift in the bandgap at non-zero temperatures. As the AHC calculations are impractical for high-throughput screening of materials, the developed GPR model attempts to alleviate this issue by predicting the O'Donnell parameters purely from physical features. To mitigate the reliability issues arising from the very small size of the dataset, we apply a Bayesian technique to improve the generalizability of the data-driven models as well as quantify the uncertainty associated with the predictions. The method captures well the overall trend of the O’Donnell parameters with respect to a reduced feature set obtained by transforming the available physical features. Quantifying the associated uncertainty helps us understand the reliability of the predictions of the O’Donnell parameters and, therefore, the bandgap as a function of temperature for any novel material.
Electronic and optical properties of disordered getchellite: A photoreflectance, optical absorption, photoemission, and theoretical investigation
Authors: Sabik Agata , Grodzicki Miłosz , Polak Maciej P. , Gorantla Sandeep , Bachmatiuk Alicja , Kudrawiec Robert , Linhart Wojciech M. 
Published: March 2024

In this work, the optoelectronic properties of the getchellite crystal, a layered semiconducting disordered alloy with the chemical formula AsSbS3, are probed by a combination of complementary spectroscopic techniques, i.e., x-ray photoelectron spectroscopy together with a photoreflectance and a transmission spectroscopy. The experimental results are supported by a calculation based on density functional theory (DFT). The sample is an intrinsically p-type semiconductor whose optical properties are dominated by a direct transition. The energy of this transition is highly decreasing, by 0.22 eV, when the sample temperature increases from 20 to 300 K. A calculated band structure together with the transmission results reveals that of about 50 meV below the direct optical transition, an indirect one occurs associated with the fundamental bandgap of AsSbS3. Finally, the change in the fundamental bandgap character from indirect to direct during the reduction in material thickness from bulk to monolayer is demonstrated by the DFT calculations.
Comparison of electromagnetic performance in MW class superconducting machines according to shielding and structures based on analytical method
Authors: Ban Hwi-Rang , Yu Kyeong-Tae , Lee Ju-Hyeong , Choi Jang-Young , Kim Kyong-Hwan , Cho Han-Wook , Shin Kyung-Hun 
Published: March 2024

This paper presents an analytical method for analyzing the electromagnetic performance of a superconducting (SC) machine according to the 10 MW shielding configuration and the presence or absence of an armature core. To establish the SC machine design process, an analytical method considers shielding conditions and armature core type is included. The presented analytical method derives the governing equations and general solutions for each region using Maxwell’s equations and electromagnetic field theory. Furthermore, it calculates the analytical solutions by applying appropriate boundary conditions. Additionally, the performance of actively and passively shielded, with the same size and shielding performance of SC machine is compared. The electromagnetic performance obtained through the analytical method is compared with finite element analysis to validate its accuracy. The accuracy of the presented analytical method can be utilized in various design analyzes, including initial design and optimal design.
Morphometry of newborn piglets and its relevance at weaning: new approach
Authors: e Silva Lucas Melo , Fidelis Pedro Henrique da Silva , Gomes Lígia Vanessa Leandro , Santos Gleyson Araújo dos , de Oliveira Rodrigo Fortunato , Oliveira Amanda Medeiros Araújo de , Medeiros Elias Silva de , Araújo Marcelle Santana de , Moreira Rennan Herculano Rufino 
Published: March 2024

Context The strategic management of pigs raised in an intensive system has been conducted, in general, according to the average weight of piglets after weaning. Different models using morphometric parameters to predict the probability of any of the three weight classes (light, medium, and heavy) occurring post-weaning present themselves as an alternative to help the producer conduct these strategic managements. Aims This study aimed to evaluate the development of suckling piglets by using morphometric parameters. Methods A thousand simple samples were extracted at random from 268 piglets for the training data, which represent 70% of the original data set (384 piglets). The remaining 116 piglets (test data) were excluded from the analysis so as to verify the performance of the prediction (probability of each weight class to occur). Afterwards, the results were compared with the real weight class of the piglet at weaning. The variables in this research were birth weight (PWB), lactation length (Lac), and morphometric parameters of body length (BL), heart girth (HG), body mass index (BMI), ponderal index (PI), surface:mass ratio (SM), and parity order (PO). Different models were developed to predict the probability of any of the three weight classes (light, <3.967 kg; medium, 3.967–5.095 kg; and heavy, >5.095 kg) occurring at piglet weaning on the basis of their parameters 1 day postpartum. An adjustment of the ordinal regression was proposed to predict the weight classifications. Key results The model with a significant effect of the Lac variables was selected. Conclusions and implications One day after birth, light-weight and heavy-weight piglets, regardless of their morphometry, have a high likelihood of remaining in the same weight class at weaning. However, this does not apply to medium-sized piglets with diverse morphometry.
Effects of biobased fertilisers on soil physical, chemical and biological indicators – a one-year incubation study
Authors: Wester-Larsen Lærke , Jensen Lars Stoumann , Jensen Johannes Lund , Müller-Stöver Dorette Sophie 
Published: March 2024

Soil quality is declining in Europe and globally due to agricultural practices and climate change. The European market for novel biobased fertilisers (BBFs) is growing and the new European Union fertiliser regulation promotes their use. However, knowledge about the effects of many novel BBFs on soil quality is currently very limited. In a one-year laboratory incubation experiment, this study aimed to test the effect on biological (microbial biomass carbon (C)), physical (clay dispersibility and water-holding capacity) and chemical (pH, cation exchange capacity (CEC), total C and C in soil size fractions (<250, 50–250 and >50 μm)) soil quality indicators of 10 BBFs applied at two different rates on two soil types: an Arenosol and a Luvisol. The set-up also included a soil that was subjected to long-term annual application of the compost used in the incubation. The application of BBFs generally improved soil quality, with the compost material improving soil quality most, followed by a plant-based fertiliser and a biogas digestate. The effect of BBF application on CEC, total C and particulate organic matter (POM) was related to the amount of total C added with the BBF. Furthermore, the effect on total C and POM fractions was also related to easily decomposable C added with the BBF. Comparing the single accelerated application with annual application under field conditions indicated that the long-term incubation trial is a reasonable predictor of compost long-term effects in the field. Whether this applies to BBFs with very different properties remains to be shown.