bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Tyrosine Kinase Inhibitors Applied for First-Line Chronic Myeloid Leukemia Treatment on Platelet Function in Whole Blood of Healthy Volunteers In Vitro
Authors: Eckart Falk , Tauer Josephine T. , Suttorp Meinolf , Knöfler Ralf 
Published: January 2023

AbstractThe tyrosine kinase inhibitors (TKIs) imatinib, dasatinib, bosutinib, and nilotinib are established for first-line treatment of chronic myeloid leukemia (CML) but may cause side effects such as bleeding and thrombotic complications. We investigated the impact of TKIs on platelet function ex vivo in anticoagulated whole blood (WB) samples from healthy adults by lumiaggregometry and PFA-100 test. Samples (n = 15 per TKI) were incubated for 30 minutes with TKI at therapeutically relevant final concentrations. Aggregation and ATP release were induced by collagen (1 µg/mL), arachidonic acid (0.5 mmol/L), and thrombin (0.5 U/mL). Imatinib, bosutinib, and nilotinib significantly increased collagen-induced aggregation compared with controls. In addition, for bosutinib and nilotinib, a significant increase in aggregation after induction with arachidonic acid was detected. ATP-release and PFA-100 closure times were not influenced significantly by these three TKI. In contrast, dasatinib demonstrated a concentration-dependent inhibition of collagen-induced aggregation and ATP release and a significant prolongation of the PFA-100 closure time with the collagen/epinephrine cartridge. Aggregation and ATP release by other agonists as well as closure time with the collagen/ADP cartridge were not influenced significantly. In conclusion, we clearly show a concentration-dependent inhibition of collagen-induced platelet function in WB by dasatinib confirming prior results obtained in platelet-rich plasma. Bosutinib and nilotinib exerted no impairment of platelet activation. On the contrary, both TKI showed signs of platelet activation. When comparing our results with existing data, imatinib in therapeutic relevant concentrations does not impair platelet function.
Frühgeborenes mit Makroglossie und persistierender
Hypoglykämie – Beckwith-Wiedemann-Syndrom
Authors: Ulrich Victoria , Rullkötter Pia , Rahn Alexandros 
Published: January 2023

ZusammenfassungDas Beckwith-Wiedemann-Syndrom (BWS) ist eine genetische Erkrankung mit variablem
Phänotyp, die sich mit folgenden Leitsymptomen darstellen kann:
Makroglossie, Asymmetrie der Extremitäten, einseitiger Gigantismus,
Vergrößerung der inneren Organe, Bauchwanddefekte, neonatale
Hypoglykämie sowie einem erhöhten Risiko für embryonale
Tumore. Die Prävalenz des Syndroms wird mit circa 1 von 10.000 bis 1 von
21.000 Lebendgeburten angegeben. Es beruht auf molekularen Veränderungen
der Gencluster auf dem kurzen Arm von Chromosom 11, Bande P15.5. Wir stellen ein
frühgeborenes Mädchen aus 32 0/7 Schwangerschaftswochen
(SSW) vor. Postnatal wurde eine UPD(11)pat-Mutation diagnostiziert und damit das
BWS genetisch gesichert. Die Besonderheit ihres Falls beruht auf der
frühen Notwendigkeit der Zungenreduktionsplastik bei
Trinkschwierigkeiten und Atemstörung sowie lang bestehenden, schwer
einstellbaren Hypoglykämien.
Research Advances in Electrochemical Synthesis of Spirocyclic Skeleton Compounds
Authors: He Mu-Xue , Pan Ying-Ming , Wang Qian , Liu Han-Fu , Ren Sai-Yan 
Published: January 2023

AbstractSpirocyclic compounds have attracted the interest of synthetic chemists because of their unique ring systems and utility in drug discovery. Many natural compounds containing spirocyclic moieties in their skeleton are effective pharmaceuticals. For many redox processes, electroorganic synthesis is considered an environmentally friendly method, since the use of reagents with significant toxicity is replaced by electric current, so the amount of waste is often greatly reduced. Therefore, this review summarizes the construction of compounds with a spirocyclic skeleton via electrochemical synthesis strategies since 2000.1	Introduction2	Electrochemically Mediated Synthesis of Spirocyclopropanes3	Electrochemically Mediated Synthesis of Spirooxindoles4	Electrochemically Mediated Synthesis of Spirodienones5	Electrochemically Mediated Synthesis of Other Heterospirocycles6	Conclusion
Glucometabolic Perturbations in Type 2 Diabetes Mellitus and
Coronavirus Disease 2019: Causes, Consequences, and How to Counter Them Using
Novel Antidiabetic Drugs – The CAPISCO International Expert
Panel
Authors: Popovic Djordje S. , Papanas Nikolaos , Koufakis Theocharis , Kotsa Kalliopi , Mahmeed Wael Al , Al-Rasadi Khalid , Al-Alawi Kamila , Banach Maciej , Banerjee Yajnavalka , Ceriello Antonio , Cesur Mustafa , Cosentino Francesco , Firenze Alberto , Galia Massimo , Goh Su-Yen , Janez Andrej , Kalra Sanjay , Kempler Peter , Kapoor Nitin , Lessan Nader , Lotufo Paulo , Rizvi Ali A. , Sahebkar Amirhossein , Santos Raul D. , Stoian Anca Pantea , Toth Peter P. , Viswanathan Vijay , Rizzo Manfredi 
Published: January 2023

AbstractThe growing amount of evidence suggests the existence of a bidirectional relation
between coronavirus disease 2019 (COVID-19) and type 2 diabetes mellitus (T2DM),
as these two conditions exacerbate each other, causing a significant healthcare
and socioeconomic burden. The alterations in innate and adaptive cellular
immunity, adipose tissue, alveolar and endothelial dysfunction,
hypercoagulation, the propensity to an increased viral load, and chronic
diabetic complications are all associated with glucometabolic perturbations of
T2DM patients that predispose them to severe forms of COVID-19 and mortality.
Severe acute respiratory syndrome coronavirus 2 infection negatively impacts
glucose homeostasis due to its effects on insulin sensitivity and β-cell
function, further aggravating the preexisting glucometabolic perturbations in
individuals with T2DM. Thus, the most effective ways are urgently needed for
countering these glucometabolic disturbances occurring during acute COVID-19
illness in T2DM patients. The novel classes of antidiabetic medications
(dipeptidyl peptidase 4 inhibitors (DPP-4is), glucagon-like peptide-1 receptor
agonists (GLP-1 RAs), and sodium-glucose co-transporter-2 inhibitors (SGLT-2is)
are considered candidate drugs for this purpose. This review article summarizes
current knowledge regarding glucometabolic disturbances during acute COVID-19
illness in T2DM patients and the potential ways to tackle them using novel
antidiabetic medications. Recent observational data suggest that preadmission
use of GLP-1 RAs and SGLT-2is are associated with decreased patient mortality,
while DPP-4is is associated with increased in-hospital mortality of T2DM
patients with COVID-19. Although these results provide further evidence for the
widespread use of these two classes of medications in this COVID-19 era,
dedicated randomized controlled trials analyzing the effects of in-hospital use
of novel antidiabetic agents in T2DM patients with COVID-19 are needed.
Photocatalytic Defluoroalkylation of Trifluoroacetates with Alkenes using 4-(Acetamido)thiophenol
Authors: Shang Rui , Liu Can , Shen Ni 
Published: January 2023

AbstractUnder mild irradiation conditions using violet light-emitting diodes, a catalytic amount of a thiolate of N-(4-mercaptophenyl)pivalamide promotes monoselective defluoroalkylation of trifluoroacetates with a variety of aliphatic alkenes in the presence of a formate salt. The reactions allow facile and low-cost synthesis of valuable α,α-difluoro substituted aliphatic carboxylate esters under mild conditions, and demonstrate the dual-functional role of arenethiolates in photocatalysis as both a strong photoreductant in a redox cycle and a hydrogen-atom-transfer catalyst.
The Influence of the Microbiome on Metastatic Colorectal Cancer
Authors: Cass Samuel , White Michael G. 
Published: January 2023

AbstractThe microbiome (bacteria, viruses, and fungi) that exist within a patient's gastrointestinal tract and throughout their body have been increasingly understood to play a critical role in a variety of disease, including a number of cancer histologies. These microbial colonies are reflective of a patient's overall health state, their exposome, and germline genetics. In the case of colorectal adenocarcinoma, significant progress has been made in understanding the mechanism the microbiome plays beyond mere associations in both disease initiation and progression. Importantly, this improved understanding holds the potential to further identify the role these microbes play in colorectal cancer. We hope this improved understanding will be able to be leveraged in the future through either biomarkers or next-generation therapeutics to augment contemporary treatment algorithms through the manipulation of a patient's microbiome—whether through diet, antibiotics, prebiotics, or novel therapeutics. Here we review the role of the microbiome in the setting of patients with stage IV colorectal adenocarcinoma in both the development and progression or disease as well as response to therapeutics.
Emergence patterns at a non-breeding eastern bent-winged bat (Miniopterus orianae oceanensis) roost in New South Wales
Authors: Lothian Andrew J. , Hoye Glenn A. 
Published: January 2023

Eastern bent-winged bats (Miniopterus orianae oceanensis) migrate between breeding roosts and overwintering roosts each year. This project describes microbat exit count patterns across different seasons at a disused oil shale adit (i.e. horizontal mine passage) near Mudgee in New South Wales. We also document adit occupation seasonality for Miniopterus orianae oceanensis and the eastern horseshoe-bat (Rhinolophus megaphyllus). This information can be used to guide survey effort and timing for adit microbat investigations. The majority of bats exited within 50 min of the first exit, which typically occurs between 9 and 27 min after sunset.
The quadrupole moment of compact binaries to the fourth post-Newtonian order: relating the harmonic and radiative metrics
Authors: Trestini David , Larrouturou François , Blanchet Luc 
Published: January 2023

Abstract
Motivated by the completion of the fourth post-Newtonian (4PN) gravitational-wave generation from compact binary systems, we analyse and contrast different constructions of the metric outside an isolated system, using post-Minkowskian (PM) expansions. The metric in ‘harmonic’ coordinates has been investigated previously, in particular to compute tails and memory effects. However, it is plagued by powers of the logarithm of the radial distance r when

r
→
∞

(with

t
−
r

/

c
=

const). As a result, the tedious computation of the ‘tail-of-memory’ effect, which enters the gravitational-wave flux at 4PN order, is more efficiently performed in the so-called ‘radiative’ coordinates, which admit a (Bondi-type) expansion at infinity in simple powers of r
−1, without any logarithms. Here we consider a particular construction, performed order by order in the PM expansion, which directly yields a metric in radiative coordinates. We relate both constructions, and prove that they are physically equivalent as soon as a relation between the ‘canonical’ moments which parametrize the radiative metric, and those parametrizing the harmonic metric, is verified. We provide the appropriate relation for the mass quadrupole moment at 4PN order, which will be crucial when deriving the ‘tail-of-memory’ contribution to the gravitational flux.
Landmark tracking in liver US images using cascade convolutional neural networks with long short-term memory
Authors: Zhang Yupei , Dai Xianjin , Tian Zhen , Lei Yang , Wynne Jacob F , Patel Pretesh , Chen Yue , Liu Tian , Yang Xiaofeng 
Published: January 2023

Abstract
Accurate tracking of anatomic landmarks is critical for motion management in liver radiation therapy. Ultrasound (US) is a safe, low-cost technology that is broadly available and offer real-time imaging capability. This study proposed a deep learning-based tracking method for the US image-guided radiation therapy. The proposed cascade deep learning model is composed of an attention network, a mask region-based convolutional neural network (mask R-CNN), and a long short-term memory (LSTM) network. The attention network learns a mapping from an US image to a suspected area of landmark motion in order to reduce the search region. The mask R-CNN then produces multiple region-of-interest proposals in the reduced region and identifies the proposed landmark via three network heads: bounding box regression, proposal classification, and landmark segmentation. The LSTM network models the temporal relationship among the successive image frames for bounding box regression and proposal classification. To consolidate the final proposal, a selection method is designed according to the similarities between sequential frames. The proposed method was tested on the liver US tracking datasets used in the medical image computing and computer assisted interventions 2015 challenges, where the landmarks were annotated by three experienced observers to obtain their mean positions. Five-fold cross validation on the 24 given US sequences with ground truths shows that the mean tracking error for all landmarks is 0.65 ± 0.56 mm, and the errors of all landmarks are within 2 mm. We further tested the proposed model on 69 landmarks from the testing dataset that have the similar image pattern with the training pattern, resulting in a mean tracking error of 0.94 ± 0.83 mm. The proposed deep-learning model was implemented on a graphics processing unit (GPU), tracking 47–81 frames s−1. Our experimental results have demonstrated the feasibility and accuracy of our proposed method in tracking liver anatomic landmarks using US images, providing a potential solution for real-time liver tracking for active motion management during radiation therapy.
Dynamical Borel–Cantelli lemma for recurrence under Lipschitz twists
Authors: Kleinbock Dmitry , Zheng Jiajie 
Published: January 2023

Abstract
In the study of some dynamical systems the limsup set of a sequence of measurable sets is often of interest. The shrinking targets and recurrence are two of the most commonly studied problems that concern limsup sets. However, the zero–one laws for the shrinking targets and recurrence are usually treated separately and proved differently. In this paper, we introduce a generalized definition that can specialize into the shrinking targets and recurrence; our approach gives a unified proof of the zero–one laws for the two problems.
Triple-meron crystal in high-spin Kitaev magnets
Authors: Chen Ken , Luo Qiang , Zhou Zongsheng , He Saisai , Xi Bin , Jia Chenglong , Luo Hong-Gang , Zhao Jize 
Published: January 2023

Abstract
Skyrmions hold great promise in future spintronics applications since they are robust against local deformations. The meron, due to its topological equivalence to a half skyrmion, has been widely found to appear in pairs. Motivated by recent progresses in high-spin Kitaev magnets, here we investigate numerically a classical Kitaev-Γ model with a single-ion anisotropy. An exotic spin texture consisting of three merons is discovered. Such a state features a peculiar property with an odd number of merons in one magnetic unit cell. Therefore, these merons cannot be dissociated from skyrmions as reported in the literature and their origin is briefly discussed. Moreover, we find that these three merons contribute a finite topological number and thus it can induce the topological Hall effect (THE). Experimentally this spin texture can be observed by the Lorentz transmission electron microscopy and the THE can be used to identify the finite topological number. Our work demonstrates that high-spin Kitaev magnets can host robust unconventional spin textures and thus they offer a versatile platform for exploring exotic spin textures as well as their applications in spintronics.
Investigation of mechanical properties of microwave welded SS304-SS202 lap joints
Authors: Samyal Rahul , Bedi Raman , Bagha Ashok Kumar 
Published: January 2023

Abstract
The joint between dissimilar materials is always challenging to develop through traditional techniques due to the different properties of the parent materials. However, a novel non-traditional route of joining similar and dissimilar materials through energy conversion and absorption has been developed called SMHH (selective microwave hybrid heating). It has gained much attention due to its unique heating abilities. In the present work, the lap joint between SS202-SS304 is developed through SMHH placing nickel powder as an interlayer. The lap joint was characterized mechanically through shear tests and microhardness. Since the sheared area of the joint is large, it is challenging to achieve a good joint. Thus, to develop a solid joint, laser surface texturing (LST) was introduced to the joining surfaces, and the joints were characterized. After LST was introduced, a fully diffused joint interlayer region was observed through scanning electron microscopy (SEM). The EDS results confirmed the complete metallurgical bonding occurred by the diffusion of elements across the weld zone. From the XRD spectrum, the formation of intermetallic compounds like FeNi, FeNi3, C3Fe7, and M23C6 were identified at the joint region. The mean microhardness of 355 ± 10 HV was determined at the joint region of lap joints with LST. A lap joint with LST exhibits 217 MPa of shear strength, which is significantly higher than the joints without LST. Fractography of the shear failure specimens pointed out that partial heating of the interlayer caused incomplete bonding of the base metal and interlayer for without LST lap joints. However, mixed mode failure of SS202 near the overlap region of the LST lap joint occurred. It is concluded that the addition of LST on the lap joint has made a colossal impact on enhancing joint strength and intermetallic bonding. In addition, temperature-time profiling was studied to understand the heating mechanism involved in SMHH using thermocouples.
Multi-party quantum private comparison of size relationship with two third parties based on d-dimensional Bell states
Authors: Lian Jiang-Yuan , Li Xia , Ye Tian-Yu 
Published: January 2023

Abstract
In this paper, we put forward a multi-party quantum private comparison (MQPC) protocol with two semi-honest third parties (TPs) by adopting

d

-dimensional Bell states, which can judge the size relationship of private integers from more than two users within one execution of protocol. Each TP is permitted to misbehave on her own but cannot collude with others. In the proposed MQPC protocol, TPs are only required to apply

d

-dimensional single-particle measurements rather than

d

-dimensional Bell state measurements. There are no quantum entanglement swapping and unitary operations required in the proposed MQPC protocol. The security analysis validates that the proposed MQPC protocol can resist both the outside attacks and the participant attacks. The proposed MQPC protocol is adaptive for the case that

n

users want to compare the size relationship of their private integers under the control of two supervisors. Furthermore, the proposed MQPC protocol can be used in the strange user environment, because there are not any communication and pre-shared key between each pair of users.
Droplet time crystals
Authors: Simula Tapio 
Published: January 2023

Abstract
We have constructed and characterised an instrument to study gravitationally bouncing droplets of fluid, subjected to periodic driving force. Our system incorporates a droplet printer that enables an on-demand computer controlled deposition of droplets on the fluid surface. We demonstrate the operation of this instrument by creating and observing long-lived and interacting time crystals whose evolution we have witnessed for more than one hundred thousand oscillation periods. Our observations provide points of comparison for experiments that differentiate between quantum and classical time crystal behaviours in driven non-equilibrium systems.
Scattering of the quantized electromagnetic waves from a bi-anisotropic absorbing magneto-dielectric slab
Authors: Hossein Zadeh Marzieh , Amooshahi Majid 
Published: January 2023

Abstract
A canonical quantization of electromagnetic field in the presence of a bi-anisotropic absorbing magneto-dielectric slab is provided. The quantized Maxwell’s equations in the presence of the slab are exactly solved and the time-space dependence of the quantized electric and magnetic fields are obtained. The Fock space of the total system is introduced. The scattering matrix of the bi-anisotropic magneto-dielectric slab is obtained in terms of the susceptibility tensors of the slab. The scattering matrix relates the annihilation operators of the outgoing quantized electromagnetic waves from the slab to the annihilation operators of the incoming quantized electromagnetic waves to the slab. The Fresnel’s coefficients of the bi-anisotropic magneto-dielectric slab are obtained in terms of the susceptibility tensors of the slab. The Fresnel’s coefficients relate the powers radiated by the outgoing quantized electromagnetic waves from the slab to the powers radiated by the incoming quantized electromagnetic waves to the slab. The radiated powers by the outgoing quantized electromagnetic waves are calculated in the special cases that the slab is in the thermal state and the incoming quantized electromagnetic waves to the slab are in the vacuum state and the coherent state.
Radiation shielding properties of low-density Ti-based bulk metallic glass composites: a computational study
Authors: Subedi Basanta , Lamichhane Tika Ram 
Published: January 2023

Abstract
Bulk metallic glasses (BMGs), a new class of structural and functional materials with unique physical and chemical features like high corrosion resistance, high yield strength, low elastic modulus, and transparency to visible light, indicate they could be potential shield against unwanted radiations. This study presents an attempt to investigate radiation shielding efficiencies of a few titanium (Ti)-based BMGs with low densities of range 4.43–5.15 g/cm3. Different shielding properties viz., attenuation coefficients (μ

m
and μ), half and tenth value layers (HVL and TVL), mean free path (λ), effective atomic number (Zeff), buildup factors (EBF and EABF), and fast neutron removal cross-section (Σ
R
) were evaluated in 0.015 − 15 MeV energy range using Phy-X/PSD software. The interaction of charged particles (i.e., H1 and He+2 ions) with BMG samples was investigated in terms of mass stopping power (MSP) and projected range (PR) by deploying Monte Carlo-based SRIM software. The five-parametric geometric-progression (G-P) fitting method was employed to calculate EBF and EABF, whereas Zeff values were calculated through atomic to electronic cross-section ratio. Further, obtained results were compared with two conventional shielding materials: lead (Pb) and heavy concrete (StMg). We found that among 8 BMGs, sample Ti41.9Zr36.3V12.1Cu6.3Be3.4(S1) with the lowest Ti and highest Zr-composition by mass (41.9% and 36.3%, respectively) exhibited the best gamma-rays, fast neutrons, and H1/He+2 ions shielding characteristics with the highest μ

m
(0.02–15 MeV), μ (0.015−0.2 MeV), Zeff (0.015–0.06 MeV) and Σ
R
. These values were higher than that of StMg, but lower than those of Pb. Moreover, S1 exhibited the lowest values of HVL, TVL, and λ in 0.015 − 0.2 MeV region for gamma-rays and also has the lowest MSP and PR values for H1/He+2 ions. However, the lowest EBF and EABF values belonged to BMG S1 in intermediate energy region (0.1−2 MeV) only. But, the sample Ti90Al6V4(S7) was the worst among all BMGs and StMg. Thus, low-density Ti-based BMGs have better performances towards gamma-rays, fast neutrons, and H1/He+2 ions shielding and hence the potential to replace conventional StMgs and toxic Pb-based materials.