bluuebunny/crossref_metadata_2025_split huggingface dataset:
Label-free isolation of circulating tumor cells using negative lateral dielectrophoresis- assisted inertial microfluidics
Authors: Mohammadi Aliasghar , Safari Morteza , Rahmanian Mehdi 
Published: April 2023

Abstract
In this study, a dielectrophoresis (DEP)-assisted inertial microfluidics methodology was introduced for the the isolation of circulating tumor cells (CTCs) from diluted blood samples. The methodology was based on the negative DEP, provided with the laterally allocated microelectrodes as well as the proper selection of the applied electric field frequency and voltage, to suppress the limited purity arising from the overlapped sizes of CTCs and white blood cells. Initially, the dynamics of 5 and 15 µm polystyrene microparticles within the DEP-assisted inertial microfluidic device were numerically and expimentally investigated. While the dynamics of the larger microparticles was governed by the inertial and DEP forces, those of the smaller microparticles were subject to the Dean drag force. In the absence of the DEP force, the larger microparticles migrate to two stable equilibrium positions corresponding to the upper and lower walls for the microchannel cross-section. In the presence of the DEP force, the equilibrium position corresponding to the lower wall is considerably displaced, while the equilibrium position corresponding to the top wall remains almost intact. Finally, it was found that the methodology outperformed the corresponding solely-inertial methodology in terms of purity for the isolation of CTCs from diluted blood samples. For instance, the purity of isolated MDA-MB-231 spiked in diluted blood samples, at a hematocrit of 1%, by the solely-inertial microfluidic device was 85.3%, while viable CTCs were captured using the DEP-assisted inertial microfluidic device with 94.1% purity at the total flow rate and applied voltage of, respectively, 650 µL min− 1 and 50 V.
Selaginella wakkainii: A new species from Longding District of Arunachal Pradesh, India
Authors: Aran Khencha , Roy Himu 
Published: April 2023

Abstract
We describe a new species of the genus Selaginella from Arunachal Pradesh. The proposed taxon is collected from hill slopes of Wakka, a town in Longding district of Arunachal Pradesh, India. The described species is based on variation in spore morphology and features of median leaves. The variation recorded in spore morphology came into light when freshly collected samples were analysed under an electron microscope. The species is morphologically distinct and is very close to two species i.e., S. reticulata and S. odishana. Taxonomic keys and a table are added to separate and compare the three species respectively. Diagnosis, description and relevant photo plates are provided for easy identification of the species.
Study of the response characteristics of an online electrochemical mass spectrometry system for gas analysis of lithium-ion cells by using chronoamperometry
Authors: Scharf Janik , Matysik Frank Michael 
Published: April 2023

Abstract
Online electrochemical mass spectrometry (OEMS) is a promising analytical technique to monitor the gas evolution reactions, taking place while charging and discharging a lithium-ion cell. However, besides the manifold examples of these custom-made systems and their application, a clear analytical view on the origin of the evolving gases and their manifold interactions within the cell environment is missing and therefore studied in this work. To get a better understanding of the complexity of gas evolution associated with electrochemical reactions in lithium-ion cells, the use of chrono-amperometry as a fundamental analytical method was chosen. This led to a precise variation of the applied voltage and voltage-pulse length and enabled therewith a clear starting point of the electrochemical triggered reactions. It was found that the release of gaseous species strongly depends on the applied voltage and the cell configuration itself. The response time determination showed a response behavior within minutes with differences for the respective gases of interest. The herein presented methodology shows how an electroanalytical approach can help to gain further insight into advanced hyphenated methods, such as OEMS in the context of studies of lithium-ion cells.
Overexpressed CFLAR drives 5-fluorouracil sensitivity and immune response in breast cancer by regulating reactive oxygen species
Authors: Wang Chunjiang , He Jiaqing , Tong Xiaopei , Zhang Li , Song Liying 
Published: April 2023

Abstract
Breast cancer (BRCA), the most frequent malignancy in women, is a highly heterogeneous disease. Chemoresistant is the main factor for the BRCA treatment failure. However, the mechanism underlying chemoresistant is still unclear. In this study, we performed comprehensive bioinformatics to verify differentially expressed cell death genes between BRCA and normal tissues. CFLAR was down-regulated in BRCA patients and high expression level of CFLAR exhibited improved prognosis in BRCA patients. CFLAR played a key role in regulating tumor growth. However, the role of CFLAR in different BRCA subtype and its influence in drug resistance and immune therapy need further clarification. CFLAR was decreased in Ki67 positive patients and increased in ER and PR positive patients. CFLAR was significantly down-regulated in Luminal and TNBC than normal breast tissue. CFALR is higher in drug respond patients than drug non-respond patients. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated that aberrantly expressed CFLAR was potentially linked with oxidative phosphorylation, T cell receptor signaling pathway, NADH dehydrogenase (ubiquinone) activity, NADH dehydrogenase (quinone) activity, oxidoreductase activity and oxidoreductase-driven active transmembrane transporter activity. Through cell colony formation experiment, overexpression of CFLAR could inhibit reactive oxygen species (ROS) upon 5-FU treatment and promote 5-FU sensitivity in BT-549 and MDA-MB-231cells. In addition, we verified that CFLAR expression was positively correlated with Tcm, T helper cells, Tem, T cells, B cells NK CD56 bright cells and Th2 cells, especially CD8 + T cells. CFALR was higher in CAR-T response patients, anti-PD-L1 response patients and anti-PD1 patients. In summary, CFLAR could regulated ROS homeostasis and ameliorates 5-FU sensitivity of breast cancer cell. CFLAR may be a novel therapeutic target in BRCA.
Predictive modeling of ungulate–vehicle collision in the Republic of Korea
Authors: Kim Kyungmin , Andersen Desiree , Jang Yikweon 
Published: April 2023

Abstract
Context
Studies of ungulate–vehicle collision (UVC) may suffer from inadequate or scattered datasets, due to difficulties in acquiring data over vast temporal and spatial scales. Predictive modeling on UVC using a reliable data is useful to reduce the collisions.
Objectives
This study aims to understand spatial and temporal UVC characteristics by examining various parameters related to habitat, traffic, and seasonality using a UVC dataset that may be regarded as near-complete UVC data covering all road types across the Republic of Korea.
Methods
A total of 25,755 UVC points were collected between 2019 and 2021 using a standardized method by over 5,000 road menders in the Republic of Korea. Seasonal UVC predictive models of three ungulate species, Capreolus pygargus, Hydropotes inermis, and Sus scrofa, were generated using a machine-learning algorithm software, MaxEnt.
Results
The results showed that the peak UVC seasons coincided with the most active seasonal behaviors of the studied ungulates. In C. pygargus, habitat variables are most important for models across seasons, and UVC events are most likely to occur in high mountain chains. In H. inermis, habitat and traffic variables are most important for models across seasons. Although the important habitat for the models were different across seasons for S. scrofa, the maximum speed was consistently critical for models across all seasons.
Conclusions
Factors critical for UVC in the Republic of Korea were different for all three ungulate species and across seasons, indicating that seasonal behavior should be considered along with landscape and traffic features to mitigate UVC.
H19/Mir-130b-3p/Cyp4a14 potentiate the effect of praziquantel on liver in the treatment of Schistosoma japonicum infection
Authors: Ma Rui , Liu Qiang , Liu Zi-Mao , Sun Xu , Jiang Xin-Ze , Hou Jiang-Shan , Zhang Yu-Mei , Wu Yu-Long , Cheng Mei , Dong Zhou-Yan 
Published: April 2023

Abstract
Background
Schistosomiasis is a prevalent infectious disease caused by the parasitic trematodes of the genus Schistosoma. Praziquantel (PZQ), which is safe and affordable, is the recommended oral treatment for schistosomiasis. Schistosoma japonicum is the major species that cause liver damage. However, RNA molecules and their interaction that play critical roles in the effect of PZQ on the liver after S. japonicum infection remain elusive.
Results
In this study, C57BL/6 mice were randomly divided into 3 groups: the Control group, infection group (SJ), and PZQ treatment group (SE). The total RNA was extracted from the liver of mice. High-throughput whole transcriptome sequencing was performed to detect the RNA expression profiles in three groups. A co-expression gene-interaction network was established based on significant differently expressed genes in PZQ treatment, and mRNA Cyp4a14 was identified as a critical hub gene. Furthermore, ceRNA network were constructed by predicting the specific binding relations among mRNA-lncRNA, and lncRNA-miRNA of Cyp4a14, suggesting a potential regulatory axis H19/miR-130b-3p/Cyp4a14. Dual luciferase reporter assay result proved the specific binding of miR-130b-3p to Cyp4a14 3'UTR.
Conclusions
Our findings indicated that the H19/Mir-130b-3p/Cyp4a14 axis might involve in the effect of PZQ on the liver after S. japonicum infection, and the expression of mRNA Cyp4a14 could be regulated by miR-130b-3p through binding with the 3’UTR of Cyp4a14. The findings in the present study providing a new view to understand the host response to PZQ against S. japonicum in the future.
Synthesis, and biological evaluation of EGFR/HER2-NAMPT conjugates for tumor treatment
Authors: Ding Mengyuan , Shen Qianqian , Lu Wei , Zhu Shulei 
Published: April 2023

Abstract
Throughout the reported applications of EGFR inhibitors, it is usually employed with HDAC or other targets to design multi-target inhibitors for cancer treatment. In this paper, we designed a drug conjugate that targeted EGFR&HER2 and had inhibitory activity of NAMPT simultaneously. Compound 20c significantly inhibited the EGFR&HER2 and NAMPT enzyme activities, and had comparable or even higher anti-proliferative activity than lapatinib in various cancer cells with over-expressed EGFR and HER2. Importantly, 20c was expected to overcome resistance to traditional EGFR inhibitors, so as to obtain better curative effect. This strategy is a promising method of embedding multiple pharmacophores into a single molecule, which lays a good foundation for the design and synthesis of small molecule drug conjugates with strong targeting ability and high cytotoxicity.
Large mesenchymal cystic and chondroid pulmonary hamartoma mimicking lung cancer: Case report
Authors: Ahn Seha , Lee Heejin , Kang Joon Kyu , Kim In Sub , Moon Youngkyu , Choi Jung Suk , Choi Si Young 
Published: April 2023

Abstract
Pulmonary hamartoma is the most commonly resected benign neoplasm of lung. The mesenchymal cystic subtype is a rare and often bilaterally occurring variant composed of multiple cysts and nodules. Herein, we present an asymptomatic 70-year-old woman with a large and mostly cystic growth of right hilar region. Computed tomography of the chest and fluorodeoxyglucose positron emission tomography/computed tomography imaging traced its origins to right middle lobe. Overall features suggested primary lung cancer or perhaps other cystic lung disease. Because transbronchial lung biopsy failed to establish a histologic diagnosis, right middle lobectomy was undertaken by video-assisted thoracoscopic surgery. The gross surgical specimen harbored a single and sizeable (8.0 × 4.0 cm) cystic lesion containing multiple yellow-white nodules. A diagnosis of mesenchymal cystic and chondroid hamartoma was ultimately rendered. This particular case is noteworthy, given the initial clinical resemblance to primary lung cancer.
Machine and Deep Learning Methods for Predicting Preterm Births from EHG Signals
Authors: Raghavan Dharini , H Adithya H , S Raghuram , V Suma K V K , Kulhalli Tricha 
Published: April 2023

Abstract
According to the WHO, more than 15 Million babies are born before the full period of the pregnancy. Preterm childbirth is the leading cause of mortality in children less than five years old: in 2015 it was responsible for 1 Million deaths in this age group. While preterm birth is not related to any particular genetic lineage, among the preterm births, only 10 % result in moralities in high-income settings, while the mortality of preterm births in low income countries is as high as 90 %. Detecting preterm cases allows for improved care of the developing foetus via medication, additional care at home for the expectant individual , or even hospitalization for the remaining period of the pregnancy. However, the populations in low income countries also suffer from a lack of access to a systematic healthcare system, leading to preterm births not being detected proactively. Machine learning techniques have a high potential to improve this situation, by providing an automated framework for the detection of critical cases, and thereby providing an alert to the individual, requiring further follow up with medical professionals. In this work, we investigate Machine and Deep Learning ML for EHG Signals techniques for analyzing uterine electrical signals, in particular the Elec-trohysterogram signal, to detect cases of preterm childbirth. A range of machine learning models including Support Vector Machines, Logistic Regression and Decision trees along with Deep Neural Networks such as Convolutional Neural Networks and LSTMs are trained on samples from the TPEHG dataset. We also construct an ensemble of several neural networks and binary classifiers using plurality voting and train them for EHG signal classification. Across all the methods, best results were obtained with the ensemble machine learning classifier, giving an accuracy as high as 98.99 %, sensitivity of 98.3% and specificity of 97.9%.
The Economics of the Global Minimum Tax1
Authors: Schjelderup Guttorm , Stahler Frank 
Published: April 2023

Abstract
This paper shows that the OECD inclusive framework of Pillar Two fails to implement the claimed 15% minimum corporate tax for subsidiaries of multinational corporations. The reason is that the Substance-based Income Exclusion of Pillar Two allows to tax-deduct payroll costs and user costs of intangible assets twice from the tax base of the top-up tax. Employing a standard multinational firm model, we show that Pillar Two dampens tax motivated transfer pricing, but changes the employment, investment and import incentives. For a sufficiently large cost share of labor and/or capital, the Substance-based Income Exclusion is equivalent to a production subsidy. Keywords: Corporate taxation, BEPS, Pillar~Two, minimum tax.
JEL Classification: F23, F55, H25, H73.
The influence of partner presence on cooperation and norm formation
Authors: Kang Chunyan , Chen Hongyao , Teng Deling , Mao Meifang , Shen Yunyun , Gan Tian , Hou Gonglin 
Published: April 2023

Abstract
Previous studies have shown that the presence of others makes people more norm-compliant and behave more cooperatively in economic games. As important others who have interdependent relationship with the individual, the influence of the presence of partners on individual’s behavior has been overlooked. In this study, we used the repeated public goods game to examine how the presence of partners affects individual’s cooperative behavior and group’s norm formation in both no-punishment and punishment situations among 42 groups of four anonymous players (N = 168). The results of Generalized Estimating Equations showed that in the absence of punishment, the presence of partners significantly improved participants’ average level of cooperation but did not promote the formation of group norms, whereas when punishment was available, partner presence changed the way punishment being administered and in turn strengthened group norms and encouraged more consistent cooperative behavior. The effects of mere partner presence and its interaction with punishment on cooperation and norm formation were discussed.
Influence of the Inner Channels in Tetragonal Lysozyme Crystals on the Dissolution Shapes Formation
Authors: Tsekova Daniela 
Published: April 2023

Abstract
Protein molecules, although big and complicated structures, arrange into ordered crystal formations, but at specific only conditions, related to pH, additives and temperature. Truly, their crystallization is still more art than science and conditions relating their behavior to the known rules of crystal growth and dissolution are under investigation. This study is devoted to dissolution and more precise - the influence of undersaturation on the habitus of the dissolving tetragonal lysozyme crystals. Experiments described reveal that the morphologies of the dissolving crystals at low and high levels of undersaturations go through wholly different habitus. Rounding and diminishing the crystal happens at low undersaturation. Dissolution at higher undersaturation revealed development of ribbed crystal habitus, never noticed for dissolving low molecular weight crystals. Its formation could be explained with specific distribution of energetic places on the crystal surface. Existence of such energetic places is conditioned by inner channels passing through the crystal. A model relating these channels distribution and shapes observed during dissolving is presented.
Imaging, pathology, and diagnosis of solitary fibrous tumor of the pancreas: a literature review
Authors: Wang Wenwen , Zhou Shuping , Wu Xiang , Wang Luoluo , Ruan Yi , Lu Jun , Li Haili , Ni Xuling , Qiu Lili , Zhou Xinhua 
Published: April 2023

Abstract
Background
Solitary fibrous tumor (SFT) is often located in the pleura, while SFT of the pancreas is extremely rare. Here, we report a case of SFT of the pancreas and discuss imaging, histopathology, and immunohistochemistry for accurate diagnosis and treatment.
Case presentation
A 54-year-old man presented to our hospital with pancreatic occupancy for over a month. There were no previous complaints of discomfort. His blood pressure was normal. Blood glucose, tumor markers, and enhanced computed tomography (CT) suggested a malignant tumor. Because the CT appearance of pancreatic cancer varies, we could not confirm the diagnosis; therefore, we performed a puncture biopsy under ultrasound endoscopy. Pathology and immunohistochemistry were consistent with SFT of the pancreas. The postoperative pathology and immunohistochemistry were consistent with the puncture results. The patient presented for a follow-up examination one month after discharge with no adverse effects.
Discussion
Other diseases must be excluded in patients with a pancreatic mass that cannot be diagnosed. CT and pathological histology have diagnostic value for pancreatic tumors. Endoscopic puncture biopsy under ultrasound can help diagnose pancreatic masses that cannot be diagnosed preoperatively. Surgery is an effective treatment for SFT of the pancreas; however, long-term follow-up is strongly recommended because of the possibility of malignant transformation of the tumor.
Spatial and risk factor analyses of vector-borne pathogens among shelter dogs in the eastern United States
Authors: Hazelrig Corinna M. , Gettings Jenna R. , Cleveland Christopher A. , Varela-Stokes Andrea , Majewska Ania A. , Hubbard Kris , Burton K. Wade , Yabsley Michael J. 
Published: April 2023

Abstract
Background
Vector-borne infections pose significant health risks to humans, domestic animals, and wildlife. Domestic dogs (Canis lupus familiaris) in the United States may be infected with and serve as sentinel hosts for several zoonotic vector-borne pathogens. In this study, we analyzed the geographic distribution, risk factors, and co-infections associated with infection with Ehrlichia spp., Anaplasma spp., Borrelia burgdorferi, and Dirofilaria immitis in shelter dogs in the eastern United States.
Methods
From 2016–2020, blood samples from 3,750 shelter dogs from 19 states were examined with IDEXX SNAP® 4Dx® Plus tests to determine prevalence of infection with tick-borne pathogens and infection with D. immitis. We assessed the impact of factors including age, sex, intact status, breed group, and location on infection using logistic regression.
Results
Regional variation in detection prevalence was noted: D. immitis (17.4%, n = 355/2,036) and Ehrlichia spp. (10.7%, n = 217/2,036) were highest in the Southeast while prevalence for B. burgdorferi (19.3%, n = 143/740) and Anaplasma spp. (5.7%, n = 42/740) were highest in the Northeast. Overall, 4.8% (n = 179/3,750) of dogs had co-infections, the most common of which were D. immitis/Ehrlichia spp. (1.6%, n = 59/3,750), B. burgdorferi/Anaplasma spp. (1.5%, n = 55/3,750), and B. burgdorferi/Ehrlichia spp. (1.2%, n = 46/3,750). Risk factors significantly influenced infection across the evaluated pathogens were location and breed group. All evaluated risk factors were significant for the prevalence of D. immitis antigens.
Conclusions
Our results demonstrate a regionally variable risk of infection with vector-borne pathogens in shelter dogs throughout the eastern United States, likely due to varying distributions of vectors. However, as many vectors are undergoing range expansions or other changes in distribution associated with climate and landscape change, continued vector-borne pathogen surveillance is important for maintaining reliable risk assessment.