bluuebunny/crossref_metadata_2025_split huggingface dataset:
3D osteogenic differentiation of human iPSCs reveals the role of TGFβ signal in the transition from progenitors to osteoblasts and osteoblasts to osteocytes
Authors: Kawai Shunsuke , Sunaga Junko , Nagata Sanae , Nishio Megumi , Fukuda Masayuki , Kamakura Takeshi , Sun Liping , Jin Yonghui , Sakamoto Satoko , Watanabe Akira , Matsuda Shuichi , Adachi Taiji , Toguchida Junya 
Published: January 2023

AbstractAlthough the formation of bone-like nodules is regarded as the differentiation process from stem cells to osteogenic cells, including osteoblasts and osteocytes, the precise biological events during nodule formation are unknown. Here we performed the osteogenic induction of human induced pluripotent stem cells using a three-dimensional (3D) culture system using type I collagen gel and a rapid induction method with retinoic acid. Confocal and time-lapse imaging revealed the osteogenic differentiation was initiated with vigorous focal proliferation followed by aggregation, from which cells invaded the gel. Invading cells changed their morphology and expressed osteocyte marker genes, suggesting the transition from osteoblasts to osteocytes. Single-cell RNA sequencing analysis revealed that 3D culture-induced cells with features of periosteal skeletal stem cells, some of which expressed TGFβ-regulated osteoblast-related molecules. The role of TGFβ signal was further analyzed in the transition from osteoblasts to osteocytes, which revealed that modulation of the TGFβ signal changed the morphology and motility of cells isolated from the 3D culture, suggesting that the TGFβ signal maintains the osteoblastic phenotype and the transition into osteocytes requires down-regulation of the TGFβ signal.
An intelligent model for supporting edge migration for virtual function chains in next generation internet of things
Authors: Tsakanikas Vassilis , Dagiuklas Tasos , Iqbal Muddesar , Wang Xinheng , Mumtaz Shahid 
Published: January 2023

AbstractThe developments on next generation IoT sensing devices, with the advances on their low power computational capabilities and high speed networking has led to the introduction of the edge computing paradigm. Within an edge cloud environment, services may generate and consume data locally, without involving cloud computing infrastructures. Aiming to tackle the low computational resources of the IoT nodes, Virtual-Function-Chain has been proposed as an intelligent distribution model for exploiting the maximum of the computational power at the edge, thus enabling the support of demanding services. An intelligent migration model with the capacity to support Virtual-Function-Chains is introduced in this work. According to this model, migration at the edge can support individual features of a Virtual-Function-Chain. First, auto-healing can be implemented with cold migrations, if a Virtual Function fails unexpectedly. Second, a Quality of Service monitoring model can trigger live migrations, aiming to avoid edge devices overload. The evaluation studies of the proposed model revealed that it has the capacity to increase the robustness of an edge-based service on low-powered IoT devices. Finally, comparison with similar frameworks, like Kubernetes, showed that the migration model can effectively react on edge network fluctuations.
The framing of time-dependent machine learning models improves risk estimation among young individuals with acute coronary syndromes
Authors: de Carvalho Luiz Sérgio Fernandes , Alexim Gustavo , Nogueira Ana Claudia Cavalcante , Fernandez Marta Duran , Rezende Tito Barbosa , Avila Sandra , Reis Ricardo Torres Bispo , Soares Alexandre Anderson Munhoz , Sposito Andrei Carvalho 
Published: January 2023

AbstractAcute coronary syndrome (ACS) is a common cause of death in individuals older than 55 years. Although younger individuals are less frequently seen with ACS, this clinical event has increasing incidence trends, shows high recurrence rates and triggers considerable economic burden. Young individuals with ACS (yACS) are usually underrepresented and show idiosyncratic epidemiologic features compared to older subjects. These differences may justify why available risk prediction models usually penalize yACS with higher false positive rates compared to older subjects. We hypothesized that exploring temporal framing structures such as prediction time, observation windows and subgroup-specific prediction, could improve time-dependent prediction metrics. Among individuals who have experienced ACS (nglobal_cohort = 6341 and nyACS = 2242), the predictive accuracy for adverse clinical events was optimized by using specific rules for yACS and splitting short-term and long-term prediction windows, leading to the detection of 80% of events, compared to 69% by using a rule designed for the global cohort.
In vitro prospective healthy and nutritional benefits of different Citrus monofloral honeys
Authors: Fratianni Florinda , Amato Giuseppe , d’Acierno Antonio , Ombra Maria Neve , De Feo Vincenzo , Coppola Raffaele , Nazzaro Filomena 
Published: January 2023

AbstractWe studied the total polyphenols, flavonoids, vitamin C, the antioxidant and anti-inflammatory activity of six Citrus monofloral honey, and the in vitro inhibitory effect against cholinesterases and tyrosinase. Finally, we assessed their effect against the biofilm of some pathogenic bacteria. Lime honey showed the best antioxidant activity and the highest content of polyphenols and vitamin C. Lemon and tangerine honey contained almost exclusively flavonoids. Lemon honey better preserved the bovine serum albumin against denaturation (IC50 = 48.47 mg). Honeys inhibited acetylcholinesterase, butyrylcholinesterase, and tyrosinase up to 12.04% (tangerine), 19.11% (bergamot), and 94.1% (lemon), respectively. Lime and clementine honey better inhibited the Listeria monocytogenes biofilm. Bergamot honey acted mainly against the Staphylococcus aureus and Acinetobacter baumannii biofilm; bergamot and tangerine honey inhibited the Pseudomonas aeruginosa biofilm particularly. Bergamot, clementine, and tangerine honey acted against Escherichia coli sessile cell metabolism. This Citrus honey exhibited in vitro prospective health benefits and is applicable for future in vivo studies.
Phase diagrams of PEG1000,1500,2000,4000,6000 + lithium citrate + water ATPSs, and the partitioning of salbutamol at T = 298.15 K
Authors: Nemati-Kande Ebrahim , Azizi Zolfa , Mokarizadeh Marziyeh 
Published: January 2023

AbstractSalbutamol is a drug used to treat the pulmonary diseases by ameliorate the medium and large airways in the lungs. Partitioning of salbutamol drug on the aqueous two-phase systems (ATPSs) of PEG1000,1500,2000,4000,6000 + trilithium citrate + water was determined at T = 298.15 K. The effect of molecular mass of polymer (MMP) on the binodal and tie-line compositions were studied. Results showed that the biphasic area was extended as the MMP was increased. The salting-out ability were quantified using the Setschenow model, and the binodal curves were modeled by a nonlinear 3-parameter equation. Furthermore, electrolyte Wilson along with the osmotic virial models have adequately been implemented to fit the tie-line compositions. Also, the studied ATPSs were implemented to study the partitioning of salbutamol drug on the salt-affluent and polymer-affluent phases. It is observed that, ATPSs of PEG1000 is premium to extract the salbutamol to the polymer-affluent phase, where, the ATPSs of PEG6000 is more favorable to extract the drug to the salt-affluent phase.
Performance and emissions of a diesel engine fueled by coal-based diesel fuels and their blends with polyoxymethylene dimethyl ethers
Authors: Zhao Yuwei , Li Ting , Niu Tianlin , Zheng Wenxiu , Xie Yijing , E Weibo 
Published: January 2023

AbstractThe objective of this study was to investigate the performance and emissions of a diesel engine fueled by coal-based diesel fuels and their blends with oxygenated fuel polyoxymethylene dimethyl ethers (PODEn). First, coal-based Fischer–Tropsch (FT) diesel fuel was blended with hydrogenated diesel fuel at three volume ratios of 40%/60%, 50%/50%, and 60%/40%, denoted as T6W4, T5W5, and T4W6, respectively. Then, PODEn were added into the T4W6 fuel with the volume ratios of 10%, 20%, and 30% to evaluate its effects on the performance and emissions of a coal-based diesel engine. The results showed that the output torques and powers of the three coal-based diesel blends were slightly lower than those of the petroleum diesel fuel. The brake specific fuel consumption (BSFC) of the coal-based diesel fuels was almost the same as that of the petroleum diesel fuel. The brake thermal efficiencies (BTE) of the coal-based diesel blends were slightly lower than that of the petroleum diesel fuel, and the maximum reduction was 1.59%. The pollutant emissions of T5W5 were the closest to those of petroleum diesel fuel. The nitrogen oxides (NOx) emissions of T4W6 were lower, with a maximum decrease of 11.18% compared with the petroleum diesel. The carbon monoxide (CO) and hydrocarbon (HC) emissions of T6W4 were the highest, with maximum increases of 36.79% and 29.05%, respectively. The smoke emissions of T4W6 and T6W4 were higher than those of petroleum diesel fuel. Adding PODEn into T4W6 lowered the engine power and torque but increased the BSFC and BTE. The output torque and power of the diesel engine were further reduced when PODEn were blended with T4W6, with the maximum reductions of 17.76% and 16.96%, respectively. With an increase in the PODEn blending ratio, BSFC and BTE increased gradually, and the maximum increase in the BTE was 1.57%. Blending PODEn with the fuel effectively improved the emission characteristics of the coal-based diesel fuels. The NOx emissions increased slightly, but the emissions of HC, CO, and smoke were reduced significantly, with maximum reductions of 24.42%, 31.67%, and 82.35%, respectively.
Intra-person multi-task learning method for chronic-disease prediction
Authors: Kim Gihyeon , Lim Heeryung , Kim Yunsoo , Kwon Oran , Choi Jang-Hwan 
Published: January 2023

AbstractIn the medical field, various clinical information has been accumulated to help clinicians provide personalized medicine and make better diagnoses. As chronic diseases share similar characteristics, it is possible to predict multiple chronic diseases using the accumulated data of each patient. Thus, we propose an intra-person multi-task learning framework that jointly predicts the status of correlated chronic diseases and improves the model performance. Because chronic diseases occur over a long period and are affected by various factors, we considered features related to each chronic disease and the temporal relationship of the time-series data for accurate prediction. The study was carried out in three stages: (1) data preprocessing and feature selection using bidirectional recurrent imputation for time series (BRITS) and the least absolute shrinkage and selection operator (LASSO); (2) a convolutional neural network and long short-term memory (CNN-LSTM) for single-task models; and (3) a novel intra-person multi-task learning CNN-LSTM framework developed to predict multiple chronic diseases simultaneously. Our multi-task learning method between correlated chronic diseases produced a more stable and accurate system than single-task models and other baseline recurrent networks. Furthermore, the proposed model was tested using different time steps to illustrate its flexibility and generalization across multiple time steps.
Analyses of canine cancer mutations and treatment outcomes using real-world clinico-genomics data of 2119 dogs
Authors: Wu Kevin , Rodrigues Lucas , Post Gerald , Harvey Garrett , White Michelle , Miller Aubrey , Lambert Lindsay , Lewis Benjamin , Lopes Christina , Zou James 
Published: January 2023

AbstractSpontaneous tumors in canines share significant genetic and histological similarities with human tumors, positioning them as valuable models to guide drug development. However, current translational studies have limited real world evidence as cancer outcomes are dispersed across veterinary clinics and genomic tests are rarely performed on dogs. In this study, we aim to expand the value of canine models by systematically characterizing genetic mutations in tumors and their response to targeted treatments. In total, we collect and analyze survival outcomes for 2119 tumor-bearing dogs and the prognostic effect of genomic alterations in a subset of 1108 dogs. Our analysis identifies prognostic concordance between canines and humans in several key oncogenes, including TP53 and PIK3CA. We also find that several targeted treatments designed for humans are associated with a positive prognosis when used to treat canine tumors with specific genomic alterations, underscoring the value of canine models in advancing drug discovery for personalized oncology.
A deep vision sensing‐based fuzzy control scheme for smart feeding in the industrial recirculating aquaculture systems
Authors: Zhou Yueming , Zhang Qin , Zhang Huiyan , Yang Junchao , Guo Zhiwei , Bulugu Isack , Shen Yu 
Published: January 2023

AbstractIn industrial recirculating aquaculture systems (IRAS), the autonomous decision control of feeding strategies remains a practical concern. Conventionally, control schemes were established from data‐driven view, which fails to comprehensively perceive activity status of fishes. To deal with this issue, a deep vision sensing‐based fuzzy control scheme is proposed for smart feeding in IRAS. In the first stage, a deep learning‐based object detection model is introduced to capture two aspects features as the decision factors: residual bait and eating frequency. In the second stage, a fuzzy neural network model is formulated to calculate control decision strategies via fuzzy inference. And experiments on real‐world visual scenes are conducted to verify the proposal.
A three‐stage multi‐agent‐based peer‐to‐peer method for fault isolation of high distributed generation penetrated distribution networks
Authors: Esfahani Akbar Golsorkhi , Fani Bahador , Delshad Majid , Saghafi Hadi 
Published: January 2023

AbstractAs a major strategic component of smart protection schemes, quick and accurate fault isolation would significantly enhance the system performance. With the ever‐increasing installation of distributed generation (DG) units in the distribution networks, however, the fault isolation has become challengeable. Using the multi‐agent‐based infrastructure, this paper presents a peer‐to‐peer decentralized protection coordination scheme having the ability to quickly isolate the fault without dependency to DGs’ operating points. To do so, the distribution network is first mapped into a communication network to define the relationship tables among the protection devices as the agents. Using a three‐stage algorithm, then, the faulted section is removed from the network. In this way, the agents have the ability to be informed about the operation of other agents and accordingly update their relationship tables, network configuration, short circuit level and direction of current flow. Moreover, the decentralized nature of peer‐to‐peer communication makes the approach capable of not relying on a central controller. The proposed method utilizes the common protection devices to be used as the agents and does not need additional measurement equipment. Numerical studies show that the proposed protection scheme can accurately and quickly isolate the faulted section of a high DG‐penetrated distribution network system.
Phenomenological modelling of the Crab Nebula’s broadband energy spectrum and its apparent extension
Authors: Dirson L. , Horns D. 
Published: January 2023

Context.The Crab Nebula emits exceptionally bright non-thermal radiation across the entire wavelength range from the radio to the most energetic photons. So far, the underlying physical model of a relativistic wind from the pulsar terminating in a hydrodynamic standing shock has remained fairly unchanged since the early 1970s when it was first introduced. One of the predictions of this model is an increase in the toroidal magnetic field downstream from the shock where the flow velocity drops quickly with increasing distance until it reaches its asymptotic value, matching the expansion velocity of the nebula.Aims.The magnetic field strength in the nebula is poorly known. Using the recent measurements of the spatial extension and improved spectroscopy of the gamma-ray nebula, it has become –for the first time – feasible to determine in a robust way both the strength as well as the radial dependence of the magnetic field in the downstream flow.Methods.In this work, we introduce a detailed radiative model which was used to calculate the emission from non-thermal electrons (synchrotron and inverse Compton) as well as from thermal dust present in the Crab Nebula in a self-consistent way to compare it quantitatively with observational data. Special care was given to the radial dependence of the electron and seed field density.Results.The radiative model was used to estimate the parameters related to the electron populations responsible for radio and optical/X-ray synchrotron emission. In this context, the mass of cold and warm dust was determined. A combined fit based upon aχ2minimisation successfully reproduced the complete data set used. For the best-fitting model, the energy density of the magnetic field dominates over the particle energy density up to a distance of ≈1.3 rs(rs: distance of the termination shock from the pulsar). The very high energy (VHE:E > 100 GeV) and ultra-high energy (UHE:E > 100 TeV) gamma-ray spectra set the strongest constraints on the radial dependence of the magnetic field, favouring a model whereB(r) = (264 ± 9) μG(r/rs)−0.51 ± 0.03. For a collection of VHE measurements during epochs of higher hard X-ray emission, a significantly different solutionB(r) = (167 ± 5) μG(r/rs)−0.29(+0.03, −0.06)is found.Conclusions.The high energy (HE:E > 100 MeV) and VHE gamma-ray observations of the Crab Nebula lift the degeneracy of the synchrotron emission between particle and magnetic field energy density. The reconstructed magnetic field and its radial dependence indicates a ratio of Poynting to kinetic energy fluxσ ≈ 0.1 at the termination shock, which is ≈30 times larger than estimated up to now. Consequently, the confinement of the nebula would require additional mechanisms to slow the flow down through, for example, excitation of small-scale turbulence with possible dissipation of the magnetic field.
SsODNet: Solar system Open Database Network
Authors: Berthier J. , Carry B. , Mahlke M. , Normand J. 
Published: January 2023

Context. The sample of Solar system objects has dramatically increased over the last decade. The number of measured properties (e.g., diameter, taxonomy, rotation period, thermal inertia, etc.) has expanded even more quickly. However, this wealth of information is spread over a myriad of studies, with different designations reported per object.
Aims. We provide a solution to the identification of Solar system objects based on any of their multiple names or designations. We also compile and rationalize their properties to provide an easy access to them. We aim to continuously update the database as new measurements become available.
Methods. We built a Web Service, SsODNet, which offers four access points, each corresponding to an identified necessity in the community: name resolution (quaero), compilation of a large corpus of properties (dataCloud), determination of the best estimate among compiled values (ssoCard), and a statistical description of the population (ssoBFT).
Results. The SsODNet interfaces are fully operational and freely accessible to everyone. The name resolver quaero translates any of the ~5.3 million designations of objects into their current and official designation. The dataCloud includes about 105 million parameters (osculating and proper elements, pair and family membership, diameter, albedo, mass, density, rotation period, spin coordinates, phase function parameters, colors, taxonomy, thermal inertia, and Yarkovsky drift) from over 3000 articles (updated continuously). For each of the known asteroids and dwarf planets (~1.2 million), a ssoCard that provides a single best-estimate for each parameter is available. The SsODNet service provides these resources in a fraction of second upon query. Finally, the extensive ssoBFT table compiles all the best estimates in a single table for population-wide studies.
Tips and Techniques for Traversing the Impassable Biliary Stricture
Authors: Befera Nicholas T. , Cline Brendan C. , Martin Jonathan G. , Suhocki Paul V. , Kim Charles Y. 
Published: January 2023

AbstractBiliary obstruction is a common indication for referral to interventional radiology, particularly when endoscopic retrograde cholangiopancreatography has failed or is not possible due to postsurgical anatomy. The standard approach to percutaneous transhepatic biliary drainage involves gaining needle access to a peripheral bile duct, followed by advancement of a guidewire and drainage catheter across the obstruction and into bowel to allow internal drainage. While most cases of biliary obstruction are managed successfully with this conventional approach, in some situations it is not possible to traverse the occlusion with a guidewire and catheter, and thus advanced techniques may be required. This article has reviewed the available strategies for managing the impassable biliary obstruction.
Management of Patients with Synchronous Liver Colorectal Cancer Metastasis
Authors: Sidorova Aleksandra , Melekhina Olga , Bashankaev Badma 
Published: January 2023

AbstractHalf of patients with colorectal cancer face liver metastasis. Tactically different approaches to the treatment of hepatic metastases, including using minimally invasive surgical techniques, have proven their effectiveness in improving oncological results. The correct choice of surgical treatment method depending on the number, localization, size of metastases, and their response to chemotherapy plays a crucial role in the further risks of disease progression. Liver resection is the standard of surgical treatment. If for some reason it is impossible to perform it, then the choice of the method of surgical treatment is performed among various methods of ablation and radiation therapy. The possibilities of intra-arterial chemotherapy, chemoembolization, and radioembolization are realized with chemoresistance and unresectability of foci for all types of surgery.