bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antioxidant properties and cytotoxic effects of Oxalis corniculata on human Hepatocarcinoma (Hep-G2) cell line: an in vitro and in silico evaluation
Authors: Gudasi Sachin , Gharge Shankar , Koli Rahul , Patil Kalpana 
Published: March 2023

Abstract
Background
Oxalis corniculata is a well-known medicinal plant used in folk medicine for the management of many diseases. The aim is to determine the physico-chemical properties, microscopic study, phytochemical properties, in-silico, in-vitro antioxidant and anticancer activity on human Hepatocarcinoma (Hep-G2) cell line of O. corniculata plant extract.

Results
Microscopical study reaveals that presence of pericyclic fibres, starch gains, trichomes etc, and phytochemical screening is carried to find out secondary metabolites. The molecular docking study concluded that some of the phytocompounds showed inhibition of epidermal growth factor receptor tyrosine kinase domain (PDB ID: 1M17) inhibitor. Furthermore, ADMET and drug likeness study hints some of phytocompounds may act as lead for anticancer drug discovery and development. Among selected phytocompounds, compound apigenin possesses − 7.90 kcal/mol as compared to standard drug doxorubicin possesses − 7.63 kcal/mol against the epidermal growth factor receptor tyrosine kinase. The plant extract shown antioxidant activities based on the different tests were performed. The hydroalcoholic plant extracts were found to be selectively cytotoxic in vitro to human Hepatocarcinoma (Hep-G2) cell line with IC50values 34.494 ± 0.42 µg/ml and EAF showed at IC50 value 30.245 ± 0.58 µg/ml of the cells were inhibited at the concentration of 50 µg/ml as compared with standard doxorubicin at IC50 value 24.8939 ± 0.25 µg/ml, respectively.

Conclusion
The present study concluded that O. corniculata possesses potential antioxidant and cytotoxic properties based upon the computer aided drug design models and in-vitro activity.
Anomalous elastic properties of mudrocks bounding reservoirs with high concentrations of naturally occurring CO2
Authors: Sams Mark , Jayasangar Thivyaadarshini 
Published: March 2023

Very high concentrations of CO2 have been encountered in solution as carbonic acid in hydrocarbon reservoirs in parts of the Greater Sarawak Basin, offshore Borneo, Malaysia. Concentrations can exceed 80%. Anomalous features in 3D seismic data also are found in areas with high CO2 concentrations. These features appear as halos around reservoirs, cutting across stratigraphy and indicating a hardening of the nonreservoir rocks within the envelope of the halo. These halos can extend for hundreds of meters above and below a reservoir. Elastic log data from wells that pass through and adjacent to these seismic anomalies indicate that mudrocks within the anomalies have higher densities and velocities than would be predicted from locally derived compaction trends. Combinable magnetic resonance measurements indicate that the anomalous properties are the result of lower-than-expected capillary-bound microporosities. It is proposed that carbonic acid in the reservoir fluids diffuses into the bounding rocks, causing a loss of porosity. The amount of porosity lost depends on the clay content of the mudrock and the initial level of compaction, with shallower, more clay-rich shales able to lose more porosity. The anomalous seismic signatures result from a sharp transition (over approximately 5 m) at the diagenetic front between normal and altered rocks. The alteration can significantly change the amplitude variation with offset response of the reservoirs and therefore the ability to correctly predict fluid phase and reservoir quality. No anomalies are observed when the concentration of CO2 in the reservoir is less than 10% but always present when CO2 exceeds 20%. Therefore, it is possible to map the general distribution of high CO2 concentration from seismic data. There is no indication that the scale, amplitude, or shape of the anomalies gives an indication of the concentration of CO2.
Lifting the cloche: Jeroen Bakkers interviews Didier Stainier
Authors: Stainier Didier Y. R. , Bakkers Jeroen 
Published: March 2023

Didier Stainier is Director of the Department of Developmental Genetics at the Max Planck Institute for Heart and Lung Research in Bad Nauheim, Germany. He became acquainted with the zebrafish model as a PhD student in Walter Gilbert's lab at Harvard, which motivated him to champion the use of this powerful model organism to study heart development as a postdoctoral fellow with Mark Fishman at Massachusetts General Hospital. Although his scientific focus has expanded significantly since then, zebrafish modelling and heart development and regeneration remain key topics in his research. The developmental biology and zebrafish modelling communities have embraced him as an inspiring mentor and advocate for basic research.
Jeroen Bakkers is a group leader at the Hubrecht Institute for Developmental Biology and Stem Cell Research and Professor of Molecular Cardiogenetics at the University Medical Center Utrecht, The Netherlands. Jeroen did hid PhD with Herman Spaink at Leiden University, The Netherlands. A short visit to Massachusetts Institute of Technology during his doctoral training introduced him to the zebrafish model, which he applied to his PhD project. Zebrafish development remained the focus of his career, including during his postdoctoral training in the lab of Matthias Hammerschmidt at the Max Planck Institute of Immunology and Epigenetics in Freiburg and in his own lab at the Hubrecht Institute, where his group uses this powerful model organism to investigate cardiac development, disease and regeneration.
Jeroen and Didier met up at a recent conference to talk about their shared interest in cardiac regeneration, a zebrafish mutant with a curious name and Didier's commitment to mentorship.
Comparison of BiP and HSP70i as markers of unfolded protein response (UPR) in segmental and nonsegmental vitiligo
Authors: Setyanto Boedhy , Kalim Handono , Poeranto Sri , Widasmara Dhelya 
Published: March 2023

Background: Unfolded protein response (UPR) is a misfolded protein that occurs because oxidative stress disrupts cellular redox potential that extends to the endoplasmic reticulum (ER). Binding immunoglobulin protein (BiP) and inducible heat shock protein (HSP70i) as ER chaperons play critical roles in melanocyte apoptosis. Our study aims to compare BiP and HSP70i as markers of UPR in patients with segmental vitiligo (SV) and non-segmental vitiligo (NSV). Methods: The subjects were composed of 64 patients diagnosed with vitiligo, of whom 33 had NSV and 31 had SV. Skin biopsy and immunofluorescence were performed. We used BiP and HSP70i as markers of UPR. Descriptive statistics were used to analyze the data. Results: UPR-BiP expression and UPR-HSP70i in the SV group was 2.66 ± 3.07 and 3.85 ± 4.92, respectively, with a p-value of 0.001 (<α = 0.05). In the NSV group UPR-BiP expression and UPR-HSP70i was 12.55 ± 11.85 and 14.79 ± 14.72 respectively, with a p-value of 0.001 (<α = 0.05). UPR expression using the HSP70i marker in both NSV and SV groups was higher than it was using the BiP marker. The relationship between UPR-HSP70i expression and UPR-BiP expression in the SV and NSV group was significant (p <0.05) and positive. Conclusions: HSP70i is superior to BiP as a marker for expressing UPR.
Interdicting Attack Plans with Boundedly Rational Players and Multiple Attackers: An Adversarial Risk Analysis Approach
Authors: DuBois Eric , Peper Ashley , Albert Laura A. 
Published: March 2023

Cybersecurity planning supports the selection of and implementation of security controls in resource-constrained settings to manage risk. Doing so requires considering adaptive adversaries with different levels of strategic sophistication in modeling efforts to support risk management. However, most models in the literature only consider rational or nonstrategic adversaries. Therefore, we study how to inform defensive decision making to mitigate the risk from boundedly rational players, with a particular focus on making integrated, interdependent planning decisions. To achieve this goal, we introduce a modeling framework for selecting a portfolio of security mitigations that interdict adversarial attack plans that uses a structured approach for risk analysis. Our approach adapts adversarial risk analysis and cognitive hierarchy theory to consider a maximum-reliability path interdiction problem with a single defender and multiple attackers who have different goals and levels of strategic sophistication. Instead of enumerating all possible attacks and defenses, we introduce a solution technique based on integer programming and approximation algorithms to iteratively solve the defender’s and attackers’ problems. A case study illustrates the proposed models and provides insights into defensive planning. Funding: A. Peper and L. A. Albert were supported in part by the National Science Foundation [Grant 2000986].
A Bayesian Semisupervised Approach to Keyword Extraction with Only Positive and Unlabeled Data
Authors: Wang Guanshen , Cheng Yichen , Xia Yusen , Ling Qiang , Wang Xinlei 
Published: March 2023

In the era of big data, people benefit from the existence of tremendous amounts of information. However, availability of said information may pose great challenges. For instance, one big challenge is how to extract useful yet succinct information in an automated fashion. As one of the first few efforts, keyword extraction methods summarize an article by identifying a list of keywords. Many existing keyword extraction methods focus on the unsupervised setting, with all keywords assumed unknown. In reality, a (small) subset of the keywords may be available for a particular article. To use such information, we propose a rigorous probabilistic model based on a semisupervised setup. Our method incorporates the graph-based information of an article into a Bayesian framework via an informative prior so that our model facilitates formal statistical inference, which is often absent from existing methods. To overcome the difficulty arising from high-dimensional posterior sampling, we develop two Markov chain Monte Carlo algorithms based on Gibbs samplers and compare their performance using benchmark data. We use a false discovery rate (FDR)-based approach for selecting the number of keywords, whereas the existing methods use ad hoc threshold values. Our numerical results show that the proposed method compared favorably with state-of-the-art methods for keyword extraction. History: Accepted by Ramaswamy Ramesh, Area Editor for Data Science and Machine Learning. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2023.1283 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2021.0234 ) at ( http://dx.doi.org/10.5281/zenodo.7348935 ).
Efficient Solution of Discrete Subproblems Arising in Integer Optimal Control with Total Variation Regularization
Authors: Severitt Marvin , Manns Paul 
Published: March 2023

We consider a class of integer linear programs (IPs) that arise as discretizations of trust-region subproblems of a trust-region algorithm for the solution of control problems, where the control input is an integer-valued function on a one-dimensional domain and is regularized with a total variation term in the objective, which may be interpreted as a penalization of switching costs between different control modes. We prove that solving an instance of the considered problem class is equivalent to solving a resource-constrained shortest-path problem (RCSPP) on a layered directed acyclic graph. This structural finding yields an algorithmic solution approach based on topological sorting and corresponding run-time complexities that are quadratic in the number of discretization intervals of the underlying control problem, the main quantifier for the size of a problem instance. We also consider the solution of the RCSPP with an [Formula: see text] algorithm. Specifically, the analysis of a Lagrangian relaxation yields a consistent heuristic function for the [Formula: see text] algorithm and a preprocessing procedure, which can be employed to accelerate the [Formula: see text] algorithm for the RCSPP without losing optimality of the computed solution. We generate IP instances by executing the trust-region algorithm on several integer optimal control problems. The numerical results show that the accelerated [Formula: see text] algorithm and topological sorting outperform a general-purpose IP solver significantly. Moreover, the accelerated [Formula: see text] algorithm is able to outperform topological sorting for larger problem instances. We also give computational evidence that the performance of the superordinate trust-region algorithm may be improved if it is initialized with a solution obtained with the combinatorial integral approximation. History: Accepted by Andrea Lodi, Area Editor for Design and Analysis of Algorithms–Discrete. Supplemental Material: The online supplement is available at https://doi.org/10.1287/ijoc.2023.1294 .
Conflict, Chaos, and the Art of Institutional Design
Authors: Ganz Scott C. 
Published: March 2023

The metaphor of an organization as a garbage can is often invoked as a playful insult. However, as was recognized early on by management theorists studying garbage can ideas, the unpredictability arising from garbage can decision making has the potential to be adaptively rational for organizations facing complex task environments. The chaos produced by preference conflict and fluid participation in collective decision making can aid in search by enabling organizations to escape local performance peaks or competency traps. The decades-old hypothesis that conflict and chaos could promote adaptively rational search, however, has largely been overlooked in research on organizational design. This paper uses an agent-based model to evaluate these competing views and, in the process, identify conditions under which garbage can decision making is adaptively rational for executives searching for high-quality strategies. I show that the biased and chaotic outcomes that emerge as a result of garbage can decision making—the very features of garbage cans that lead them to be perceived to be dysfunctional—can facilitate short-term exploitation and long-term exploration of uncertain technical landscapes when organizations engage in serial judgment of local alternatives if internal conflict over desired outcomes is not too extreme. I conclude that decision-making routines that encourage chaotic conflict are robust to bounded rationality and complex task uncertainty and thus should be included in the organizational designer’s portfolio. Supplemental Material: The online supplement is available at https://doi.org/10.1287/orsc.2023.1662 .
Incidence and severity of radiological lateral osteoarthritis 15 years following medial unicompartmental knee arthroplasty
Authors: Searle Henry K. C. , Rahman Azmi , Desai Aditya P. , Mellon Stephen J. , Murray David W. 
Published: March 2023

AimsTo assess the incidence of radiological lateral osteoarthritis (OA) at 15 years after medial unicompartmental knee arthroplasty (UKA) and assess the relationship of lateral OA with symptoms and patient characteristics.MethodsCemented Phase 3 medial Oxford UKA implanted by two surgeons since 1998 for the recommended indications were prospectively followed. A 15-year cumulative revision rate for lateral OA of 5% for this series was previously reported. A total of 163 unrevised knees with 15-year (SD 1) anterior-posterior knee radiographs were studied. Lateral joint space width (JSWL) was measured and severity of lateral OA was classified as: nil/mild, moderate, and severe. Preoperative and 15-year Oxford Knee Scores (OKS) and American Knee Society Scores were determined. The effect of age, sex, BMI, and intraoperative findings was analyzed. Statistical analysis included one-way analysis of variance and Kruskal-Wallis H test, with significance set at 5%.ResultsThe mean age was 80.6 years (SD 8.3), with 84 females and 79 males. The mean JSWL was 5.6 mm (SD 1.4), and was not significantly related to age, sex, or intraoperative findings. Those with BMI > 40 kg/m2 had a smaller JSWL than those with a ‘normal’ BMI (p = 0.039). The incidence of severe and moderate lateral OA were both 4.9%. Overall, 2/142 (1.4%) of those with nil/mild lateral OA, 1/8 (13%) with moderate, and 2/8 (25%) with severe subsequently had a revision. Those with severe (mean OKS 35.6 (SD 9.3)) and moderate OA (mean OKS 35.8 (SD 10.5)) tended to have worse outcome scores than those with nil/mild (mean OKS 39.5 (SD 9.2)) but the difference was only significant for OKS-Function (p = 0.044).ConclusionThis study showed that the rate of having severe or moderate radiological lateral OA at 15 years after medial UKA was low (both 4.9%). Although patients with severe or moderate lateral OA had a lower OKS than those with nil/mild OA, their mean scores (OKS 36) would be classified as good.Cite this article: Bone Jt Open 2023;4(3):210–218.
Nonlinear elliptic–parabolic problem involving p-Dirichlet-to-Neumann operator with critical exponent
Authors: Deng Yanhua , Tan Zhong , Xie Minghong 
Published: March 2023

Abstract
We consider the nonlinear elliptic–parabolic boundary value problem involving the Dirichlet-to-Neumann operator of p-Laplace type at the critical Sobolev exponent. We first obtain the existence and asymptotic estimates of the global solution, and the sufficient conditions of finite time blowup of the solution by using the energy method. Second, we improve the regularity of solution by Moser-type iteration. Finally, we analyze the long-time asymptotic behavior of the global solution. Moreover, with the help of the concentration compactness principle, we present a precise description of the concentration phenomenon of the solution in the forward time infinity.
RFID supply chain data deconstruction method based on artificial intelligence technology
Authors: Zhang Huiying , Li Ze 
Published: March 2023

Abstract
Radio frequency identification (RFID) is a broad rapidly evolving skill in the past few years. It is characterized by non-contact identification, fast read and write speed, small label size, large data storage capacity, and other technical advantages. RFID technology for goods movement has completely changed the traditional supply chain management, greatly improved the operational efficiency of enterprises, and has become an important method for the development of supply chain logistics. This work mainly studies and analyzes the RFID supply chain, introduces the development and application of RFID supply chain sector technology, and discusses the operation of the supply chain in detail. Then, according to the existing RFID supply chain, a RFID supply chain artificial intelligence (AI) based approach to technology is proposed, and the data analysis of RFID supply chain is introduced in detail. In this work, through the research experiment of AI technology RFID supply chain data analysis, the experimental data show that there are several time-consuming links in the supply chain system. The time consumed in the AI RFID system is 9.9, 3.4, 3.5, and 29.9 min, respectively, while each link in the original system takes 13.4, 4.9, 4.9, and 34.9 min. It can be seen from the above data that the amount of time in each system link of the AI RFID supply chain system is less than that of the original supply chain system, which shortens the entire product passing cycle and greatly improves work efficiency.
Approximation via statistical measurable convergence with respect to power series for double sequences
Authors: Narrania Devia , Raj Kuldip 
Published: March 2023

Abstract
In this paper, we introduce and study a new type of convergences using statistical convergence via the power series method and measurable convergence. We also study their relationship with other convergences. Further, we demonstrate Korovkin-type approximation theorems for double sequences of positive linear operators using these newly specified convergences, and we also provide illustrations that demonstrate how our proven theorems are better than their classical counterparts. Finally, we have determined rates of statistical product measurable convergence using the power series approach and the modulus of continuity.
Modelling of the exploding wire technique, a novel approach utilized for the synthesis of nanomaterials
Authors: Singh Surendra , Goswami Navendu 
Published: March 2023

Abstract
Of late, the exploding wire technique (EWT) is being popularly utilized for high yield synthesis of diverse nanomaterials. In this paper, we propose an equivalent electrical circuit-based model of this technique when the explosion of wire against a metallic plate takes place in the presence of aqueous medium. The wire transforms into plasma state immediately after explosion and formation of liquid-vapour mixed phase is imminent in this process. We elucidate the conversion of metallic wire into partially ionized plasma by a set of semi-empirical mathematical equations. We propose a mathematical electrical conductivity model for analysing complex behaviour of wire explosion in a liquid medium. The present work results are restricted to one-dimension but could be extended to two- and three-dimensional codes associated with the dynamics of z-pinch or x-pinch.
Guided domino lithography for uniform fabrication of single-digit-nanometer scale plasmonic nanoantenna
Authors: Oh Dong Kyo , Kim Yeseul , Kim Jaekyung , Kim Inki , Rho Junsuk 
Published: March 2023

Abstract
Single-digit-nanometer scale plasmonic nanoantenna platforms are widely used in optical sensors, quantum plasmonics, and other applications. Uniform and reliable fabrications with a single-digit-nanometer resolution are desirable for diverse quantum nanophotonic device applications, but improving the process yield and uniformity of the shape of the nanoantenna over the entire fabrication area remains a challenge. Here we report the guided domino lithography fabrication method for uniform ultra-sharp nanoantenna arrays. We use a collapsing of unstable photoresist nanostructures with a guide structure to uniformly fabricate ultra-sharp bowtie photoresist masks. We directly compare the yields of the conventional and the guided domino lithography under the optimized electron beam exposing and development conditions. Furthermore, we conduct a rigorous analysis to verify the electric field enhancement effect from ultra-sharp bowtie nanoantennas fabricated with different geometry. We believe that guided domino lithography can be a promising solution toward a practical manufacturing method for single-digit-nanometer plasmonic nanoantennas.