bluuebunny/crossref_metadata_2025_split huggingface dataset:
What is the meaning of physical quantity $\nu$ in the expression of photon energy $h\nu$?
Authors: Zhang Xingchu , She Weilong 
Published: December 2023

Abstract
It is well known that, for an incident light of not so high intensity and in a certain range of frequency, the stopping voltage of photoelectric effect is independent of the intensity but dependent on the frequency of the light, which is described by the equation V = hν /e - W0/e , where V is the stopping voltage, h is the Planck constant, ν is the frequency of incident light, e is the electron charge, and W0 is the work function. It means that the larger the frequency of incident light, the higher the stopping voltage is. However, the present experiment finds that for a non-monochromatic incident light, the stopping voltage is not determined by the maximum frequency component of the incident light, but by the maximum center frequency of all the wave train components (with different center frequencies) involved in the incident light, that is to say, in the photon energy expression hν , physical quantity ν does not refer to the frequency of a monochromatic light, but represents the center frequency of a wave train spectrum. The spectral bandwidth of a wave train component can be as large as 122 nm in visible and near-infrared region. This should arouse more attention in the study of energy exchange between light and matter.
The role of specialty palliative care interdisciplinary team members in acute care decision support: a qualitative study protocol
Authors: MacMartin Meredith , Zhang Jingyi , Barnato Amber 
Published: December 2023

Abstract
Background: Specialty palliative care interdisciplinary teams (IDT) can play an important role in supporting patients and family members during acute care decision-making. Despite guidelines and evidence emphasizing decision-making support as a key domain of specialty palliative care, little is known about how decision making support is actually implemented by specialty palliative care IDTs. This study aims to 1) describe the structure and processes of inpatient decision-making support delivered by specialty palliative care IDT, and 2) examine the perspectives of IDT members on their role in this decision-support.
Methods: A team of clinician and non-clinician researchers will conduct non-participant observation ethnography at a single medical center in northern New England. The ethnography will focus on the work of IDT members in supporting decision making, particularly elements of specialty palliative care that have limited descriptions in the literature (e.g. systems and processes of care). Observations of formal and informal interactions between IDT members and clinical encounters will be conducted at one site over four months. Participants include patients, care partners, non-specialty palliative care providers, and specialty palliative care IDT members. Additionally, we will conduct semi-structured interviews with IDT members across three geographically diverse specialty palliative care teams across the United States to explore providers’ first-person perspective on their roles and function in decision-making support for hospitalized patients. Field notes and transcripts from observation and interviews will be uploaded to Dedoose software for management and thematic analysis following an inductive approach.
Discussion: To our knowledge, this will be the first observational study of the roles of interdisciplinary specialty palliative care teams. Results from this research will support further investigation into implementation of decision making support across different types of medical teams.
Synthesis of photoresponsive phenanthroimidazole-based S,S-dioxide dithienylethene for information storage and encryption
Authors: Lu Jiaxian , Yan Qing , Luo Miao , Ren Jun , Wang Sheng 
Published: December 2023

Abstract
Photoresponsive fluorescent compound have been widely used to prepare the encryption inks for modern information security. In this study, A photoresponsive fluorescent materials based on dithienylethene DTE-PIO4 was synthesized by oxidizing the two sulphur atoms to sulfones. Its solution presented a distinctive fluorescence switching performance when compared with the traditional "turn-off" mode fluorescent dithienylethene, while an irreversible "turn-off" fluorescence switching was observed in solid state upon exposure to 254 nm UV light. Remarkably, the PMMA ink was successfully prepared by incorporation with DTE-PIO4 which indicated the great potential in the fields of optical information storage and ink printing. The further research on information encryption has also been demonstrated through blending DTE-PIO4 with DTE-PI in PMMA medium.
Machine Learning-Based Short-Term Solar Power Forecasting: A Comparison Between Regression and Classification Approaches Using Extensive Australian Dataset
Authors: AOUIDAD Hichem Idris , BOUHELAL Abdelhamid 
Published: December 2023

Abstract

Solar energy production is an intermittent process that is affected by weather and climate conditions. This can lead to unstable and fluctuating electricity generation, which can cause financial losses and damage to the power grid. To better control power production, it is important to predict solar energy production. Big data and machine learning algorithms have yielded excellent results in this regard. This study compares the performance of two different machine learning approaches to solar energy production prediction: regression and classification. The regression approach predicts the actual power output, while the classification approach predicts whether the power output will be above or below a certain threshold. The study found that the random forest regressor algorithm performed the best in terms of accuracy, with mean absolute errors and root mean square errors of 0.046 and 0.11, respectively. However, it did not predict peak power values effectively, which can lead to higher errors. The Long Short-Term Memory (LSTM) algorithm performed better in classifying peak power values. The study concluded that classification models may be better at generalizing than regression models. This proposed approach is valuable for interpreting model performance and improving prediction accuracy.
Worldwide Pipeline Transport Network for Green Fuel Ammonia Produced from Abundant Renewable Energy in Equatorial Waters to Prevent Global Warming
Authors: Kobayashi Hiroshi 
Published: December 2023

Abstract
The current large-scale deployment of solar and wind power poses several challenges, such as low generating capacity, fluctuating output, electrical energy storage difficulties, and reducing power grid inertia. These challenges can be overcome by (1) deploying large numbers of high-capacity floating offshore photovoltaic plants in equatorial waters with abundant renewable energy resources and generating sufficient electricity to meet the world’s primary energy needs and (2) using this electricity to synthesize green fuel ammonia, which can be stored and transported worldwide through pipeline networks. At least 33 Gt of CO2e must be removed from the atmosphere annually to prevent further rises in global temperatures. With the immediate deployment of the proposed system, all energy can be converted to carbon-free energy by 2050, thereby achieving the goals of the Paris Agreement. Furthermore, the proposed system effectively avoids the depletion of limited mineral resources associated with global carbon-free energy transportation.
Integrated Multi-Omics Profiling Reveals Neutrophil Extracellular Traps Promote Aortic Dissection
Authors: wang Lixin , Zhao Yufei , Mo Fandi , Li Zheyun , Yuan Ye , Hong Shichai , Wang Enci , yuzchong Zhang , Fu Weiguo , Zhou Bin 
Published: December 2023

Abstract

Background and Aims: Adverse aortic remodeling increases the risk of aorta-related adverse events (AAEs) after thoracic endovascular aortic repair (TEVAR) and affects the overall prognosis of aortic dissection (AD). It is imperative to delve into the exploration of prognostic indicators to streamline the identification of individuals at elevated risk for postoperative AAEs, and therapeutic targets to optimize the efficacy of TEVAR for patients with AD.
Methods: We performed proteomic and single-cell transcriptomic analyses of peripheral blood samples and aortic lesions, respectively, from patients with AD and healthy subjects. We performed in vivo experiments to further confirm the effect of inhibiting NETs. Kaplan-Meier and Cox regression analysis were used to identify independent risk factors for AAEs.
Results: Integrated multi-omics profiling identified highly phenotype-associated macrophages, which frequently interacted with neutrophils via CXCL3/CXCR2 axis, and promoted neutrophil extracellular traps (NETs) in driving and fueling the development of AD. Furthermore, we demonstrated that the level of citrullinated histone H3 (CitH3), a NETs associated marker, could serve as a risk factor for AAEs following endovascular therapy. Inhibiting NETs formation through the blockade of CitH3 alleviated the progression and rupture of AD in mice.
Conclusions: The multi-omics profiling reveals NETs formation features in the development of AD. NETs associated markers could facilitate the risk stratification and prognostic evaluation, and might serve as potential therapeutic targets of patients with AD.
Geospatial modelling of dry season habitats of the malaria vector, Anopheles funestus, in south-eastern Tanzania
Authors: Kahamba Najat F. , Okumu Fredros O. , Jumanne Mohamed , Kifungo Khamisi , Odero Joel O. , Baldini Francesco , Ferguson Heather M. , Neill Luca 
Published: December 2023

Abstract

Introduction:Anopheles funestusis a major malaria vector in east and southern Africa, and currently dominates transmission in many parts of Tanzania. Previous research has identified its preference for specific aquatic habitats, especially those that persist in dry months. This suggests the potential for targeted control through precise habitat mapping and characterization. In this study, we investigated the influence of habitat characteristics, land cover, and human population densities onAn. funestusdistribution during dry seasons, and subsequently developed a habitat suitability model for this vector species in southeastern Tanzania.Method:Eighteen villages in south-eastern Tanzania were surveyed during the dry season from September-December 2021. Water bodies were systematically inspected for mosquito larvae and characterized by their physio-chemical characteristics and surrounding environmental features. A generalized linear model was used to assess the presence ofAn. funestuslarvae as a function of the physico-chemical characteristics, land use and human population densities. The results from this model were used to generate spatially explicit predictions of habitat suitability in the study districts.Results:Of 1,466 aquatic habitats surveyed, 440 were positive forAn. funestus. River streams had the highest positivity (74%; n=322) followed by ground pools (15%; n=67). The final model had an 83% accuracy in predicting positiveAn. funestushabitats, with the most important characteristics being permanent waters, clear waters with or without vegetation or movement, and shading over the habitats. In addition, there was a positive association with forested areas and a negative association with built-up areas. Human population densities had no influence onAn. funestusdistribution.Conclusion:This study underscores the crucial role of both the specific habitat characteristics and key environmental factors, notably land-cover, in the distribution ofAn. funestus. In this study area, the species predominantly inhabits river streams and ground pools; and prefers clear, perennial waters with and shading. The strong positive association with more pristine environments with tree covers and the negative association with built-up areas underscore the importance of ecological transitions in vector distribution and malaria transmission risk. Such spatially explicit predictions could enable more precise interventions, particularly larval source management, to accelerate malaria control.
Mechanism of acute kidney injury in mild to moderate heat-related illness
Authors: Kondo Kenta , Hashiguchi Naoyuki , Watanabe Shin , Nishio Hirofumi , Takazawa Yuji , Iba Toshiaki 
Published: December 2023

Abstract
Background: Heat-related illnesses cause kidney injury, and recurrent minor kidney injuries may accumulate, resulting in the development of chronic kidney disease. Despite the increased incidence, the factors responsible for kidney injury in heat-related illnesses remain unclear. Our study focuses on mild-to-moderate severity cases to examine the triggers initiating kidney injury.
Methods: Patients aged 18 years or older with suspected heat-related illnesses at the Juntendo University Hospital Emergency and Primary Care Center between July and September 2020 and June and August 2022 were included. Blood samples were obtained during their visit, and the patients were categorized into two groups based on their cystatin-based estimated GFR (eGFRcys) values: a kidney injury group (eGFRcys < 60 mL/min/1.73 m2) and a non-kidney injury group (eGFRcys ≥ 60 mL/min/1.73 m2). Inflammation, coagulation, and skeletal muscle damage markers were compared between the groups, and markers related to the early development of kidney injury were examined.
Results: A total of 35 patients were diagnosed with heat-related illnesses, and 10 were diagnosed with kidney injury. White blood cell count was higher in the kidney injury group (P < 0.01), whereas the levels of CRP and Interleukin-6 showed no significant difference between the groups. No statistically significant differences in coagulation markers were observed. In contrast, myoglobin, a marker of skeletal muscle damage, showed elevated levels in the kidney injury group (P < 0.01) and demonstrated a stronger association with early kidney injury than creatine kinase (P < 0.05).
Conclusion: The predominant mechanism of acute kidney injury in mild to moderate heat-related illnesses appears to be tubular damage caused by myoglobin. Measuring myoglobin levels is essential to identify and exclude patients at risk of acute kidney injury due to heat-related illnesses.
Holographic Visual Cues for Mission Task Elements
Authors: Jusko Tim , Walko Christian , Kante Louis 
Published: December 2023

Abstract

Mission Task Elements (MTEs) are commonly used to evaluate the Handling Qualities (HQs) of rotorcraft. However, the traditional approach of physical ground courses faces challenges due to evolving rotorcraft designs and flight profiles. Infrastructure limitations and lack of flexibility for research pose significant obstacles, particularly for high-speed tasks. The emergence of new air vehicles, such as eVTOLs in the civil sector and Future Vertical Lift configurations in the military domain, requires an adapted visual cueing process for previously unaddressed mission profiles. This paper proposes an innovative solution: an Augmented Reality (AR) system utilizing a Head-Mounted Display to create virtual MTE courses called Holographic Visual Cues (HVCs). A piloted simulation campaign performed at DLR's AVES simulator compares the effectiveness of HVCs with dome projection-based visual cues, evaluating the performance of the AR system. The objective is to validate the efficacy of this technology for HQ evaluations. The initial results suggest that test pilots responded positively to this approach, indicating its potential as a more adaptable and efficient method for MTE visual cueing.
Evaluation of the relationship between genetic variation of single nucleotide RNA MBL2 and risk of salivary gland tumor in Southwest Iran
Authors: Rezazadeh Hojat , Rezazadeh Fahimeh , Fattahi Mohammad Javad , Mokhtari Mohammad Javad , Khademi Bijan , Amiri Kianoush 
Published: December 2023

Abstract
Background
Salivary gland tumors (SGTs) are rare and diagnostically challenging. Genetic factors likely influence SGT susceptibility. Mannose-binding lectin (MBL) plays a key role in inflammation and immunity. Variants in the MBL2 gene can reduce MBL levels and have been linked to cancer risk. Long noncoding RNAs (lncRNAs) regulate gene expression and are dysregulated in tumors. This study explored associations between MBL2 polymorphisms and SGTs.
Methods
Ninety-nine SGT patients and fifty-nine healthy controls were recruited in Shiraz, Iran. DNA was extracted and genotyped using PCR and sequencing. MBL2 rs11003125 was analyzed using logistic regression under genetic models. LncRNA expression was evaluated in tumors.
Results
The GC genotype of rs11003125 was significantly associated with reduced SGT risk compared to GG under codominant (OR 0.30, p = 0.0008) and dominant (OR 0.33, p = 0.001) models. The C allele was associated with lower risk under overdominance (OR 0.49, p = 0.01). MBL2 expression was upregulated in tumors versus controls. No correlations existed between MBL2 variants and tumor features.
Conclusions
This first study of MBL2 and SGTs found that the GC genotype and C allele were associated with decreased SGT susceptibility. MBL2 upregulation in tumors warrants further exploration. These preliminary findings suggest that MBL2 polymorphisms may contribute to SGT risk in this population.
Investıgatıon of the Effects of Treatment with Enoxaparın Sodıum and Hyperbarıc on the Recovery of Rats Wıth Achılles Tendon Rupture
Authors: Aytekin Cafer Erman , Turhan Yalçın , Karaduman Zekeriya Okan , Arican Mehmet , Coşkun Sinem Kantarcıoğlu , Uludağ Veysel 
Published: December 2023

Abstract
Background: Tendons can be easily injured acutely or chronically due to repetitive movements, degeneration and trauma. To make the tendon more robust after healing, several biomaterials have been tested in different studies; skeletal structures have been created from cells containing fibroblasts, and growth factors and cytokines have been applied exogenously. In this study, we aimed to investigate the effects of hyperbaric oxygen therapy and enoxaparin sodium, which are known to accelerate bone tissue healing as well as tendon and soft tissue healing, on the healing of Achilles tendon rupture.
Methods: Thirty-six rats were used in the present study. All rats were divided into groups of nine. The groups were the enoxaparin sodium group, enoxaparin sodium and hyperbaric oxygen group, hyperbaric oxygen group and control group. After 21 days, the process was completed, and the rats were sacrificed. Achilles tendon samples were evaluated histopathologically.
Results: The groups were compared according to the results of statistical analysis based on the histopathological data. There was no significant difference between the groups in terms of acute inflammation (p=0.785) or chronic inflammation (p=0.827) scores, but there were significant differences in neovascularization (p=0.009), proliferation (p<0.001) and fibrosis (p=0.006) scores.
Conclusion: Our study showed that the use of enoxaparin sodium and hyperbaric oxygen had a positive effect on the healing of the Achilles tendon. Based on these results, we believe that the use of enoxaparin sodium and hyperbaric oxygen therapy after Achilles tendon rupture will be beneficial for healing and preventing complications.
ECDEP: Identifying essential proteins based on evolutionary community discovery and subcellular localization
Authors: Ye Chen , Wu Qi , Chen Shuxia , Zhang Xuemei , Xu Wenwen , Wu Yunzhi , Zhang Youhua , Yue Yi 
Published: December 2023

Abstract

Background:In cellular activities, essential proteins play a vital role and are instrumental for comprehending fundamental biological necessities and identifying pathogenic genes. Current deep learning approaches for predicting essential proteins underutilize the potential of gene expression data and are inadequate on the exploration of dynamic networks with limited evaluation across diverse species.Results: We introduce ECDEP, an essential protein identification model based on evolutionary community discovery. ECDEP integrates temporal gene expression data with protein-protein interaction (PPI) network and employs the 3-Sigma rule to eliminate outliers at each time point, constructing a dynamic network. Next, we utilize edge birth and death information to establish an interaction streaming source to feed into the evolutionary community discovery algorithm and then identify overlapping communities during the evolution of the dynamic network. SVM recursive feature elimination (RFE) is applied to extract the most informative communities, which are combined with subcellular localization data for classification predictions. We assess the performance of ECDEP by comparing it against ten centrality methods, four shallow machine learning methods with RFE, and two deep learning methods that incorporate multiple biological data sources onSaccharomyces. Cerevisiae (S. cerevisiae),Homo sapiens (H. sapiens),Mus musculus, andCaenorhabditis elegans. ECDEP achieves an AP value of 0.86 on theH. sapiensdataset and the contribution ratio of community features in classification reaches 0.54 on theS. cerevisiae(Krogan) dataset.Conclusions: Our proposed method adeptly integrates network dynamics and yields outstanding results across various datasets. Furthermore, the incorporation of evolutionary community discovery algorithms amplifies the capacity of gene expression data in classification.
A secure circular text-based CAPTCHA
Authors: gao jiahua , ren yawei 
Published: December 2023

Abstract
To prevent malicious activities and automated programmes from infiltrating and attacking websites or systems, a secure circular text-based CAPTCHA is designed based on a multi-secret visual cryptography. In this paper, multiple circular secret images are randomly generated by the server- side are encrypted into two circular share images, one of the share images is saved while the other is distributed to the user. Random characters are selected from each secret image to dynamically generate a circular CAPTCHA, with enhancing the authentication function for legitimate users and providing more effective resistance to phishing attacks. From the evaluation and recognition of the quality of the CAPTCHA, the circular text-based CAPTCHA has achieved a balance between usability and security at a certain extent.
Planting date and variation in quantitative traits of Solenostemon rotundifolius [(Poir.) J. K. Morton].
Authors: Tonde Ignace , Nanema K.Romaric , KIEBRE Zakaria 
Published: December 2023

Abstract
The present study aimed to verify the effect of the planting date on quantitative traits of S. rotundifolius. To this end, twelve accessions of S. rotundifolius, including six (6) from Burkina Faso and six (6) from Ghana, were subjected to agro-morphological evaluations using a Fisher block design with three replications at three dates: April 3rd (D1); June 3rd (D2) and July 8th (D3). Fourteen (14) quantitative traits related to the canopy and leaf size, the cycle, and the yield were recorded. Comparative analysis of the performance of accessions according to planting dates revealed significant differences for all the traits. These results showed that late planting (July) resulted in low canopy size. Late maturing of the accessions was observed in case of early planting (April). Planting in June (D2) resulted in good yielding and large canopy development. These results revealed that the planting date is a crucial parameter in S. rotundifolius phenotype. They could be useful for the development of suitable agronomic practices for S. rotundifolius growing and for breeding purpose.