bluuebunny/crossref_metadata_2025_split huggingface dataset:
Schedulable capacity assessment method for PV and storage integrated fast charging stations with V2G
Authors: Zhang Kaiyu , Zhan Shuhe , Shi Shanshan , Fang Chen , Feng Donghan , Wang Haojing , Zhang Hua , Shen Bing , Wang Yun , Zhou Yun 
Published: May 2023

AbstractAn accurate estimation of schedulable capacity (SC) is especially crucial given the rapid growth of electric vehicles, their new energy charging stations, and the promotion of vehicle‐to‐grid (V2G) technology. In this study, an evaluation approach for a photovoltaic (PV) and storage‐integrated fast charging station is established. The energy relationship between the SC of electric vehicles (EVs), the SC of centralized energy storage, and the PV power generation is constructed to solve for the upward SC and downward SC of the entire charging station based on the detailed explanation of the electrical structure of the PV and storage integrated fast charging station. To facilitate the grid to improve the dispatching efficiency, a strategy for solving the daytime SC is developed. This work uses an actual charging station as the research object for case analysis, and fine‐grained modeling of its component characteristics is finished in order to test the validity and robustness of the model. Four views are used to examine the variable properties and affecting elements of the schedulable capacity: light circumstances, EV load typical scenarios, dispatching interval length, and centralized energy storage configuration.
Power control in microgrid using improved virtual impedance method
Authors: Truong Dinh‐Nhon , Pham Xuan Hoa Thi , Doan Nam Xuan , Tran Hai Van 
Published: May 2023

AbstractIn this article, a method is proposed to increase the accuracy of reactive power‐sharing for parallel‐connected inverters in Microgrid, this method is done by automatically adjusting the values of the virtual impedance to adjusting the output voltage of the inverters. The virtual impedances are automatically adjusted to compensate for the difference in the output voltage of the inverters due to the influence of the line impedances. The output voltage of the inverters will be adaptively adjusted according to the change of the load, this method greatly improves the accuracy in the reactive power sharing The correct power sharing for the inverters will ensure the stability of voltage and frequency in the Microgrid. The control method is simple and does not need to know the line impedance parameter. The feasibility and effectiveness of the proposed strategy are proven by simulation and experimental results.
Deep Inferior Epigastric Perforators Topography for “Island Transverse Rectus Abdominis Musculocutaneous Flap” in Breast Reconstruction
Authors: Kim Tae Hyun , Jeong Seong Heum , Ahn Hee Chang 
Published: May 2023

Abstract
Background The Island transverse rectus abdominis musculocutaneous (TRAM) flap is well vascularized with very reliable blood flow, because all perforators of the zone I are included when it is harvested. The number of perforators, topographic mapping, and their relationship with reconstructed outcomes were investigated.
Methods Fifty patients with Island TRAM breast reconstruction from September 2021 to August 2022 were investigated. The zone I was divided into a total of eight sections. Under the loupe magnification, all perforators larger than 0.5 mm in zone I were counted with fine dissection, and photographs were taken in background of vessel loops. Complications like flap necrosis, seroma, and hematoma were also investigated.
Result There are 12 ideal perforators on average in zone I such as one perforator in section I, II, IV, V, VI, VIII, and three perforators in section III and VII. However, two perforators (M6 and L6) below arcuate line were sacrificed in the time of flap harvest to prevent hernia. Island TRAM included 10 perforators on average (5 perforators in each side) above arcuate line to be transferred to the recipient site. Only minor complications were identified.
Conclusion The Island TRAM flap includes 10 perforators to get the vigorous blood flow. The periumbilical to upper medial perforators become more dominant in the perfusion of the flap after deep inferior epigastric artery division. Well preserved perforators will guarantee the satisfactory breast reconstruction with the least complication.
Effect of pressure on the carbon dioxide hydrate–water interfacial free energy along its dissociation line
Authors: Romero-Guzmán Cristóbal , Zerón Iván M. , Algaba Jesús , Mendiboure Bruno , Míguez José Manuel , Blas Felipe J. 
Published: May 2023

We investigate the effect of pressure on the carbon dioxide (CO2) hydrate–water interfacial free energy along its dissociation line using advanced computer simulation techniques. In previous works, we have determined the interfacial energy of the hydrate at 400 bars using the TIP4P/Ice and TraPPE molecular models for water and CO2, respectively, in combination with two different extensions of the Mold Integration technique [J. Colloid Interface Sci. 623, 354 (2022) and J. Chem. Phys. 157, 134709 (2022)]. Results obtained from computer simulation, 29(2) and 30(2) mJ/m2, are found to be in excellent agreement with the only two measurements that exist in the literature, 28(6) mJ/m2 determined by Uchida et al. [J. Phys. Chem. B 106, 8202 (2002)] and 30(3) mJ/m2 determined by Anderson et al. [J. Phys. Chem. B 107, 3507 (2002)]. Since the experiments do not allow to obtain the variation of the interfacial energy along the dissociation line of the hydrate, we extend our previous studies to quantify the effect of pressure on the interfacial energy at different pressures. Our results suggest that there exists a correlation between the interfacial free energy values and the pressure, i.e., it decreases with the pressure between 100 and 1000 bars. We expect that the combination of reliable molecular models and advanced simulation techniques could help to improve our knowledge of the thermodynamic parameters that control the interfacial free energy of hydrates from a molecular perspective.
Hypersonic flow study in a pneumatically operated academic shock tunnel
Authors: Sudarshan B. , Pranav H. A. , Sanjay A. V. 
Published: May 2023

A hypersonic shock tunnel is a primary tool used for basic experimental research and may be used in engineering and university courses to study compressible flows involving shock waves. In the present study, a pneumatically operated shock tunnel is demonstrated for hypersonic flow studies. The high-pressure nitrogen gas is used to drive a pneumatic cylinder, which is used to burst the thin metal diaphragms. Tunnel-free stream conditions are quantified using the measured pressure values and by applying shock tube relations. The free-stream Mach number of 5.5–7.2 is achieved by varying the bursting pressure and test gas pressure from 2.1 to 4.5 bars and 0.2 to 0.5 bar, respectively. The simulation is performed and the shock standoff distance quantified, and the stagnation pressures measured. The results demonstrate that the pneumatically operated tunnel enhanced operation capacity compared to the manually operated tunnel and well suits the academic hypersonic research and developmental activities.
The complex permittivity of PEDOT:PSS
Authors: Hossein-Babaei Faramarz , Chegini Ebrahim 
Published: May 2023

High permittivity materials are required for efficient organic photovoltaic devices, and the addition of the conjugated polymer composite poly(3,4-ethylenedioxythiophen) polystyrene sulfonate (PEDOT:PSS) to dielectric polymers has been shown to significantly heighten their permittivity. The permittivity of PEDOT:PSS at the optical and microwave frequencies has been investigated, but PEDOT:PSS layers are mainly used for low-frequency device applications, where accurate dielectric property measurements are hindered by their high electrical conductivity and the problems arising from the metal-polymer interfaces. Here, we determine the complex relative permittivity (εr*=εr′−jεr″) of PEDOT:PSS layers perpendicular to the layer plane in the 10−2–106 Hz range by combining data from the reactive energy estimations and electrochemical impedance spectroscopy, and discover that: εr′ at &lt;1 Hz is ultra-high (∼106) decreasing with frequency to ∼5 at 106 Hz; the experimental data fit the Cole-Cole dielectric relaxation model by considering multiple relaxation mechanisms; PEDOT:PSS polarizes nonlinearly and εr′ increases with the intensity of the applied external field; low frequency εr′ increases with both thickness and temperature of the layer, opposite trend of temperature-dependence prevails at &gt;103 Hz; the dielectric properties of PEDOT:PSS are highly anisotropic and the in-plane εr′ at 1.0 kHz is three orders of magnitude higher than the vertical εr′; and that the εr′′ decreases proportional to the reciprocal of frequency (1/f). The latter finding provides an explanation for the ubiquitous pink noise accompanying signals transmitted through organic conductor links. The described methodology can be adopted for investigations on other conjugated polymers.
Influence of H-bonds on the photoionization of aromatic chromophores in water: The aniline molecule
Authors: Lamas Iker , González Jorge , Longarte Asier , Montero Raúl 
Published: May 2023

We have conducted time-resolved experiments (pump–probe and pump–repump–probe) on a model aromatic chromophore, aniline, after excitation in water at 267 nm. In the initial spectra recorded, in addition to the absorption corresponding to the bright ππ* excitation, the fingerprint of a transient state with the electron located on the solvent molecule is identified. We postulate that the latter corresponds to the πσ* state along the N–H bond, whose complete relaxation with a ∼500 ps lifetime results in the formation of the fully solvated electron and cation. This ionization process occurs in parallel with the ππ* photophysical channel that yields the characteristic ∼1 ns fluorescence lifetime. The observed branched pathway is rationalized in terms of the different H-bonds that the water establishes with the amino group. The proposed mechanism could be common for aromatics in water containing N–H or O–H bonds and would allow the formation of separated charges after excitation at the threshold of their electronic absorptions.
Application of machine-learning algorithms to predict calving difficulty in Holstein dairy cattle
Authors: Avizheh Mahdieh , Dadpasand Mohammad , Dehnavi Elena , Keshavarzi Hamideh 
Published: May 2023

Context An ability to predict calving difficulty could help farmers make better farm-management decisions, thereby improving dairy farm profitability and welfare. Aims This study aimed to predict calving difficulty in Iranian dairy herds using machine-learning (ML) algorithms and to evaluate sampling methods to deal with imbalanced datasets. Methods For this purpose, the history records of cows that calved between 2011 and 2021 on two commercial dairy farms were used. Using WEKA software, four commonly used ML algorithms, namely naïve Bayes, random forest, decision trees, and logistic regression, were applied to the dataset. The calving difficulty was considered as a binary trait with 0, normal or unassisted calving, and 1, difficult calving, i.e. receiving any help during parturition from farm personnel involvement to surgical intervention. The average rate of difficult calving was 18.7%, representing an imbalanced dataset. Therefore, down-sampling and cost-sensitive techniques were implemented to tackle this problem. Different models were evaluated on the basis of F-measure and the area under the curve. Key results The results showed that sampling techniques improved the predictive model (P = 0.07, and P = 0.03, for down-sampling and cost-sensitive techniques respectively). F-measure ranged from 0.387 (decision tree) to 0.426 (logistic regression) with the balanced dataset. However, when applied to the original imbalanced dataset, naïve Bayes had the best performance of up to 0.388 in terms of F-measure. Conclusions Overall, sampling techniques improved the prediction model compared with original imbalanced dataset. Although prediction models performed worse than expected (due to an imbalanced dataset, and missing values), the implementation of ML algorithms can still lead to an effective method of predicting calving difficulty. Implications This research indicated the capability of ML algorithms to predict the incidence of calving difficulty within a balanced dataset, but that more explanatory variables (e.g. genetic information) are required to improve the prediction based on an unbalanced original dataset.
COVID-19-related hyperglycemia is associated with infection of hepatocytes and stimulation of gluconeogenesis
Authors: Barreto Ester A. , Cruz Amanda S. , Veras Flavio P. , Martins Ronaldo , Bernardelli Rafaella S. , Paiva Isadora M. , Lima Thais M. , Singh Youvika , Guimarães Raphael C. , Damasceno Samara , Pereira Nayara , Alves João Manoel , Gonçalves Tiago T. , Forato Julia , Muraro Stéfanie P. , Souza Gabriela F. , Batah Sabrina Setembre , Proenca-Modena José L. , Mori Marcelo A. , Cunha Fernando Q. , Louzada-Junior Paulo , Cunha Thiago M. , Nakaya Helder I. , Fabro Alexandre , de Oliveira Renê D. R. , Arruda Eurico , Réa Rosângela , Réa Neto Álvaro , Fernandes da Silva Miguel M. , Leiria Luiz Osório 
Published: May 2023

Occurrence of hyperglycemia upon infection is associated with worse clinical outcome in COVID-19 patients. However, it is still unknown whether SARS-CoV-2 directly triggers hyperglycemia. Herein, we interrogated whether and how SARS-CoV-2 causes hyperglycemia by infecting hepatocytes and increasing glucose production. We performed a retrospective cohort study including patients that were admitted at a hospital with suspicion of COVID-19. Clinical and laboratory data were collected from the chart records and daily blood glucose values were analyzed to test the hypothesis on whether COVID-19 was independently associated with hyperglycemia. Blood glucose was collected from a subgroup of nondiabetic patients to assess pancreatic hormones.
Postmortem
liver biopsies were collected to assess the presence of SARS-CoV-2 and its transporters in hepatocytes. In human hepatocytes, we studied the mechanistic bases of SARS-CoV-2 entrance and its gluconeogenic effect. SARS-CoV-2 infection was independently associated with hyperglycemia, regardless of diabetic history and beta cell function. We detected replicating viruses in human hepatocytes from
postmortem
liver biopsies and in primary hepatocytes. We found that SARS-CoV-2 variants infected human hepatocytes in vitro with different susceptibility. SARS-CoV-2 infection in hepatocytes yields the release of new infectious viral particles, though not causing cell damage. We showed that infected hepatocytes increase glucose production and this is associated with induction of PEPCK activity. Furthermore, our results demonstrate that SARS-CoV-2 entry in hepatocytes occurs partially through ACE2- and GRP78-dependent mechanisms. SARS-CoV-2 infects and replicates in hepatocytes and exerts a PEPCK-dependent gluconeogenic effect in these cells that potentially is a key cause of hyperglycemia in infected patients.
Photoexcited Ru single-atomic sites for efficient biomimetic redox catalysis
Authors: Xu Weiqing , Zhong Hong , Wu Yu , Qin Ying , Jiao Lei , Sha Meng , Su Rina , Tang Yinjun , Zheng Lirong , Hu Liuyong , Zhang Shipeng , Beckman Scott P. , Gu Wenling , Yang Yong , Guo Shaojun , Zhu Chengzhou 
Published: May 2023

The unsatisfactory catalytic activity of nanozymes owing to their inefficient electron transfer (ET) is the major challenge in biomimetic catalysis-related biomedical applications. Inspired by the photoelectron transfers in natural photoenzymes, we herein report a photonanozyme of single-atom Ru anchored on metal–organic frameworks (UiO-67–Ru) for achieving photoenhanced peroxidase (POD)-like activity. We demonstrate that the atomically dispersed Ru sites can realize high photoelectric conversion efficiency, superior POD-like activity (7.0-fold photoactivity enhancement relative to that of UiO-67), and good catalytic specificity. Both in situ experiments and theoretical calculations reveal that photoelectrons follow the cofactor-mediated ET process of enzymes to promote the production of active intermediates and the release of products, demonstrating more favorable thermodynamics and kinetics in H
2
O
2
reduction. Taking advantage of the unique interaction of the Zr–O–P bond, we establish a UiO-67–Ru-based immunoassay platform for the photoenhanced detection of organophosphorus pesticides.
Loss of insulin signaling in astrocytes exacerbates Alzheimer-like phenotypes in a 5xFAD mouse model
Authors: Chen Wenqiang , Huang Qian , Lazdon Ekaterina Katie , Gomes Antonio , Wong Marisa , Stephens Emily , Royal Tabitha Grace , Frenkel Dan , Cai Weikang , Kahn C. Ronald 
Published: May 2023

Brain insulin signaling controls peripheral energy metabolism and plays a key role in the regulation of mood and cognition. Epidemiological studies have indicated a strong connection between type 2 diabetes (T2D) and neurodegenerative disorders, especially Alzheimer’s disease (AD), linked via dysregulation of insulin signaling, i.e., insulin resistance. While most studies have focused on neurons, here, we aim to understand the role of insulin signaling in astrocytes, a glial cell type highly implicated in AD pathology and AD progression. To this end, we created a mouse model by crossing 5xFAD transgenic mice, a well-recognized AD mouse model that expresses five familial AD mutations, with mice carrying a selective, inducible insulin receptor (IR) knockout in astrocytes (iGIRKO). We show that by age 6 mo, iGIRKO/5xFAD mice exhibited greater alterations in nesting, Y-maze performance, and fear response than those of mice with the 5xFAD transgenes alone. This was associated with increased Tau (T231) phosphorylation, increased Aβ plaque size, and increased association of astrocytes with plaques in the cerebral cortex as assessed using tissue CLARITY of the brain in the iGIRKO/5xFAD mice. Mechanistically, in vitro knockout of IR in primary astrocytes resulted in loss of insulin signaling, reduced ATP production and glycolic capacity, and impaired Aβ uptake both in the basal and insulin-stimulated states. Thus, insulin signaling in astrocytes plays an important role in the control of Aβ uptake, thereby contributing to AD pathology, and highlighting the potential importance of targeting insulin signaling in astrocytes as a site for therapeutics for patients with T2D and AD.
Words with borders
Authors: Sayaheen Bilal , Darwish Ibrahim 
Published: May 2023

AbstractThis study aims at investigating the phenomenon of censoring and withholding translated books in Jordan. The source of data is a list of all banned translated books at Yarmouk University Library in Jordan (n = 60). The list was first analyzed and classified thematically. Qualitative data were obtained via semi-structured interviews with the librarians. When available, reference was made to the paratextual material of the withheld translated books. Moreover, the official website of the Jordan Media Commission was consulted to identify the factors that may contribute to censoring and blocking translated works in Jordan. The results show that librarians ban books for various religious, moral, social, political, and ideological reasons. Furthermore, it was revealed that censorship in Jordan is subjectively conducted and does not follow clear-cut rules and regulations. Finally, using paratextual elements in investigating the motives for censoring books proved to be an effective method.
Definite reference and discourse prominence in Longxi Qiang
Authors: Zheng Wuxi 
Published: May 2023

Abstract
This paper focuses on the uses of the definite marker -tì in Longxi Qiang, a Tibeto-Burman language. Although the selection of referring expressions made by speakers is based on referent accessibility or cognitive status, at the same time, referring expressions have pragmatic and interactive dimensions. The concept of identifiability can account for the uses of the definite marker -tì; however, this concept is not sufficient to explain the selection of -tì in certain discourse contexts. Accordingly, this paper discusses the discourse uses of non-referential definite noun phrases. In addition to encoding definiteness, -tì serves as a prominence marker to trigger the interpretation that an entity, an action or a property is prominent, and the speaker intended to highlight the topicality. With respect to discourse functions, -tì is attached not only to noun phrases but also to verb and adjective phrases, fillers and connectors. These uses of -tì have been expanded into Wenchuan Mandarin.
Effect of vacancy defect and strain on the structural, electronic and magnetic properties of carbon nitride 2D monolayers by DFTB method
Authors: Sakhraoui Taoufik 
Published: May 2023

Abstract
We investigate the electronic and magnetic properties of C

n

N

m

(C6N6, C2N, C3N and C3N4) using density functional tight-binding (DFTB) method. We find that these compounds are dynamically stable and their electronic band gaps are in the range of 0.59–3.28 eV. We show that the electronic structure is modulated by strain and the semiconducting behavior is well preserved except for C3N at +5% biaxial strain, where a transition from semiconductor to metal was observed. Under +3% biaxial strain, C3N4 undergoes a transition from an indirect (K-Γ) to a direct (Γ-Γ) band gap. Moreover, band gap of C2N transforms from direct (Γ-Γ) to indirect (M-Γ) under +4% biaxial strain. However, no change in the nature of the band gap of C6N6. Further, when the studied materials under uniaxial tensile strain, their bandgaps reduce. Our theoretical study showed that an indirect-to-direct nature transition may occur for C6N6 and for C3N4, which broadens their applications. On the other hand, magnetism is observed in all N-vacancy defected C

n

N

m

, which encourages its application in spintronic. Moreover, calculations of formation energies indicate that N-vacancy is energetically more favorable than C-vacancy in both C2N and C3N4. Opposite behavior found for C6N6 and C3N.
MHD mode tracking using high-speed cameras and deep learning
Authors: Wei Y , Levesque J P , Hansen C , Mauel M E , Navratil G A 
Published: May 2023

Abstract
We present a new algorithm to track the amplitude and phase of rotating magnetohydrodynamic (MHD) modes in tokamak plasmas using high speed imaging cameras and deep learning. This algorithm uses a convolutional neural network (CNN) to predict the amplitudes of the n = 1 sine and cosine mode components using solely optical measurements from one or more cameras. The model was trained and tested on an experimental dataset consisting of camera frame images and magnetic-based mode measurements from the High Beta Tokamak - Extended Pulse (HBT-EP) device, and it outperformed other, more conventional, algorithms using identical image inputs. The effect of different input data streams on the accuracy of the model’s predictions is also explored, including using a temporal frame stack or images from two cameras viewing different toroidal regions.