bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exact solutions of Euler–Bernoulli beams
Authors: Haider Jamil Abbas , Zaman F. D. , Lone Showkat Ahmad , Anwar Sadia , Almutlak Salmeh A. , Elseesy Ibrahim E. 
Published: July 2023

In numerous real-world applications, transverse vibrations of beams are nonlinear in nature. It is a task to solve nonlinear beam systems due to their substantial dependence on the 4 variables of the system and the boundary conditions. To comprehend the nonlinear vibration characteristics, it is essential to do a precise parametric analysis. This research demonstrates an approximation solution for odd and even nonlinear transverse vibrating beams using the Laplace-based variation iteration method, and the formulation of the beams depends on the Galerkin approximation. For the solution of the nonlinear differential equation, this method is efficient as compared to the existing methods in the literature because the solutions exactly match with the numerical solutions. The Laplace-based variation iteration method has been used for the first time to obtain the solution to this important problem. To demonstrate the applicability and precision of the Laplace-based iteration method, several initial conditions are applied to the governing equation for nonlinearly vibrating transverse beams. The natural frequencies and periodic response curves are computed using Laplace-based VIM and compared with the Runge–Kutta RK4 method. In contrast to the RK4, the results demonstrate that the proposed method yields excellent consensus. The Lagrange multiplier is widely regarded as one of the most essential concepts in variational theory. The result obtained are displayed in the table form. Highlights The highlights of the solution of the Euler–Bernoulli beam equation with quintic nonlinearity using Lagrange multiplier are: 1. Introducing the constraint of the boundary conditions into the equation using Lagrange multipliers. 2. Formulating the equations for the Lagrange multipliers and the deflection of the beam. 3. Solving the resulting system of algebraic equations using numerical methods. 4. Obtaining the deflection of the beam as a function of its length and the applied load. 5. Analyzing the behavior of the beam under different loads and boundary conditions.
Topgun: An ECC Accelerator for Private Set Intersection
Authors: Wu Guiming , He Qianwen , Jiang Jiali , Zhang Zhenxiang , Zhao Yuan , Zou Yinchao , Zhang Jie , Wei Changzheng , Yan Ying , Zhang Hui 
Published: July 2023

Elliptic Curve Cryptography (ECC), one of the most widely used asymmetric cryptographic algorithms, has been deployed in Transport Layer Security (TLS) protocol, blockchain, secure multiparty computation, and so on. As one of the most secure ECC curves, Curve25519 is employed by some secure protocols, such as TLS 1.3 and Diffie-Hellman Private Set Intersection (DH-PSI) protocol. High-performance implementation of ECC is required, especially for the DH-PSI protocol used in privacy-preserving platform.
Point multiplication, the chief cryptographic primitive in ECC, is computationally expensive. To improve the performance of DH-PSI protocol, we propose Topgun, a novel and high-performance hardware architecture for point multiplication over Curve25519. The proposed architecture features a pipelined Finite-field Arithmetic Unit and a simple and highly efficient instruction set architecture. Compared to the best existing work on Xilinx Zynq 7000 series FPGA, our implementation with one Processing Element can achieve 3.14× speedup on the same device. To the best of our knowledge, our implementation appears to be the fastest among the state-of-the-art works. We also have implemented our architecture consisting of 4 Compute Groups, each with 16 PEs, on an Intel Agilex AGF027 FPGA. The measured performance of 4.48 Mops/s is achieved at the cost of 86 Watts power, which is the record-setting performance for point multiplication over Curve25519 on FPGAs.
security.txt Revisited: Analysis of Prevalence and Conformity in 2022
Authors: Hilbig Tobias , Geras Thomas , Kupris Erwin , Schreck Thomas 
Published: July 2023

Determining the correct contact person for a particular system or organization is challenging in today’s Internet architecture. However, there are various stakeholders who will need to have such information, such as national security teams, security researchers, or Internet service providers, among others. To address this problem, RFC 9116, or better known as “security.txt,” was developed. If implemented correctly, then it can help these stakeholders in finding contact information to be used to notify an organization of any security issues. Further, there is another proposal called “dnssecuritytxt,” which uses DNS records for this purpose.
In this research article, we evaluated the prevalence of websites that have implemented security.txt and their conformity with the standard. Through a longitudinal analysis of the top one million websites, we investigated the adoption and usage of this standard among organizations. Our results show that the overall adoption of security.txt remains low, especially among less popular websites. To drive its acceptance among organizations, security researchers, and developers, we derived several recommendations, including partnerships with vendors of browsers and content management systems.
Evaluation of Somatic Mutations in Urine Samples as a Noninvasive Method for the Detection and Molecular Classification of Endometrial Cancer
Authors: Costas Laura , Onieva Irene , Pelegrina Beatriz , Marin Fátima , Carmona Álvaro , López-Querol Marta , Frias-Gomez Jon , Peremiquel-Trillas Paula , Martínez José Manuel , Dorca Eduard , Brunet Joan , Pineda Marta , Ponce Jordi , Matias-Guiu Xavier , de Sanjosé Silvia , Bosch Francesc Xavier , Alemany Laia , Paytubi Sonia 
Published: July 2023

Abstract

Purpose:
Current diagnostic methods for endometrial cancer lack specificity, leading to many women undergoing invasive procedures. The aim of this study was to evaluate somatic mutations in urine to accurately discriminate patients with endometrial cancer from controls.

Experimental Design:
Overall, 72 samples were analyzed using next-generation sequencing (NGS) with molecular identifiers targeting 47 genes. We evaluated urine supernatant samples from women with endometrial cancer (n = 19) and age-matched controls (n = 20). Cell pellets from urine and plasma samples from seven cases were sequenced; further, we also evaluated paired tumor samples from all cases. Finally, immunohistochemical markers for molecular profiling were evaluated in all tumor samples.

Results:
Overall, we were able to identify mutations in DNA from urine supernatant samples in 100% of endometrial cancers. In contrast, only one control (5%) showed variants at a variant allele frequency (VAF) ≥ 2% in the urine supernatant samples. The molecular classification obtained by using tumor samples and urine samples showed good agreement. Analyses in paired samples revealed a higher number of mutations and VAF in urine supernatants than in urine cell pellets and blood samples.

Conclusions:
Evaluation of somatic mutations using urine samples may offer a user-friendly and reliable tool for endometrial cancer detection and molecular classification. The diagnostic performance for endometrial cancer detection was very high, and cases could be molecularly classified using these noninvasive and self-collected samples. Additional multicenter evaluations using larger sample sizes are needed to validate the results and understand the potential of urine samples for the early detection and prognosis of endometrial cancer.
Mutual ATRaction: Assessing Synergy of Berzosertib with Sacituzumab Govitecan
Authors: Berg Stephanie A. , Choudhury Atish D. 
Published: July 2023

SummaryA phase I trial of the novel combination of the ataxia telangiectasia and Rad3-related inhibitor berzosertib plus the antibody–drug conjugate sacituzumab govitecan in patients with heavily pretreatment tumors demonstrated some antitumor activity and no dose-limiting toxicities. This represents a new treatment paradigm that will be further explored in a phase II setting.See related article by Abel et al., p. 3603
The Identification of CELSR3 and Other Potential Cell Surface Targets in Neuroendocrine Prostate Cancer
Authors: Van Emmenis Lucie , Ku Sheng-Yu , Gayvert Kaitlyn , Branch Jonathan R. , Brady Nicholas J. , Basu Subhasree , Russell Michael , Cyrta Joanna , Vosoughi Aram , Sailer Verena , Alnajar Hussein , Dardenne Etienne , Koumis Elena , Puca Loredana , Robinson Brian D. , Feldkamp Michael D. , Winkis Annmarie , Majewski Nathan , Rupnow Brent , Gottardis Marco M. , Elemento Olivier , Rubin Mark A. , Beltran Himisha , Rickman David S. 
Published: July 2023

Although recent efforts have led to the development of highly effective androgen receptor (AR)-directed therapies for the treatment of advanced prostate cancer, a significant subset of patients will progress with resistant disease including AR-negative tumors that display neuroendocrine features [neuroendocrine prostate cancer (NEPC)]. On the basis of RNA sequencing (RNA-seq) data from a clinical cohort of tissue from benign prostate, locally advanced prostate cancer, metastatic castration-resistant prostate cancer and NEPC, we developed a multi-step bioinformatics pipeline to identify NEPC-specific, overexpressed gene transcripts that encode cell surface proteins. This included the identification of known NEPC surface protein CEACAM5 as well as other potentially targetable proteins (e.g., HMMR and CESLR3). We further showed that cadherin EGF LAG seven-pass G-type receptor 3 (CELSR3) knockdown results in reduced NEPC tumor cell proliferation and migration in vitro. We provide in vivo data including laser capture microdissection followed by RNA-seq data supporting a causal role of CELSR3 in the development and/or maintenance of the phenotype associated with NEPC. Finally, we provide initial data that suggests CELSR3 is a target for T-cell redirection therapeutics. Further work is now needed to fully evaluate the utility of targeting CELSR3 with T-cell redirection or other similar therapeutics as a potential new strategy for patients with NEPC.

Significance:
The development of effective treatment for patients with NEPC remains an unmet clinical need. We have identified specific surface proteins, including CELSR3, that may serve as novel biomarkers or therapeutic targets for NEPC.
Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Authors: Passier Margot , van Genderen Maisa N.G. , Zaalberg Anniek , Kneppers Jeroen , Bekers Elise M. , Bergman Andries M. , Zwart Wilbert , Eduati Federica 
Published: July 2023

Over 10% of men will be diagnosed with prostate cancer during their lifetime. Arising from luminal cells of the prostatic acinus, prostate cancer is influenced by multiple cells in its microenvironment. To expand our knowledge and explore means to prevent and treat the disease, it is important to understand what drives the onset and early stages of prostate cancer. In this study, we developed an agent-based model of a prostatic acinus including its microenvironment, to allow for in silico studying of prostate cancer development.The model was based on prior reports and in-house data of tumor cells cocultured with cancer-associated fibroblasts (CAF) and protumor and/or antitumor macrophages. Growth patterns depicted by the model were pathologically validated on hematoxylin and eosin slide images of human prostate cancer specimens. We identified that stochasticity of interactions between macrophages and tumor cells at early stages strongly affect tumor development. In addition, we discovered that more systematic deviations in tumor development result from a combinatorial effect of the probability of acquiring mutations and the tumor-promoting abilities of CAFs and macrophages. In silico modeled tumors were then compared with 494 patients with cancer with matching characteristics, showing strong association between predicted tumor load and patients’ clinical outcome. Our findings suggest that the likelihood of tumor formation depends on a combination of stochastic events and systematic characteristics. While stochasticity cannot be controlled, information on systematic effects may aid the development of prevention strategies tailored to the molecular characteristics of an individual patient.Significance:We developed a computational model to study which factors of the tumor microenvironment drive prostate cancer development, with potential to aid the development of new prevention strategies.
Dual Blockade of EP2 and EP4 Signaling is Required for Optimal Immune Activation and Antitumor Activity Against Prostaglandin-Expressing Tumors
Authors: Francica Brian J. , Holtz Anja , Lopez Justine , Freund David , Chen Austin , Wang Dingzhi , Powell David , Kipper Franciele , Panigrahy Dipak , Dubois Raymond N. , Whiting Chan C. , Prasit Peppi , Dubensky Thomas W. 
Published: July 2023

While the role of prostaglandin E2 (PGE2) in promoting malignant progression is well established, how to optimally block the activity of PGE2 signaling remains to be demonstrated. Clinical trials with prostaglandin pathway targeted agents have shown activity but without sufficient significance or dose-limiting toxicities that have prevented approval. PGE2 signals through four receptors (EP1–4) to modulate tumor progression. EP2 and EP4 signaling exacerbates tumor pathology and is immunosuppressive through potentiating cAMP production. EP1 and EP3 signaling has the opposite effect through increasing IP3 and decreasing cAMP. Using available small-molecule antagonists of single EP receptors, the cyclooxygenase-2 (COX-2) inhibitor celecoxib, or a novel dual EP2/EP4 antagonist generated in this investigation, we tested which approach to block PGE2 signaling optimally restored immunologic activity in mouse and human immune cells and antitumor activity in syngeneic, spontaneous, and xenograft tumor models. We found that dual antagonism of EP2 and EP4 together significantly enhanced the activation of PGE2-suppressed mouse and human monocytes and CD8+ T cells in vitro as compared with single EP antagonists. CD8+ T-cell activation was dampened by single EP1 and EP3 antagonists. Dual EP2/EP4 PGE2 receptor antagonists increased tumor microenvironment lymphocyte infiltration and significantly reduced disease burden in multiple tumor models, including in the adenomatous polyposis coli (APC)min+/− spontaneous colorectal tumor model, compared with celecoxib. These results support a hypothesis that redundancy of EP2 and EP4 receptor signaling necessitates a therapeutic strategy of dual blockade of EP2 and EP4. Here we describe TPST-1495, a first-in-class orally available small-molecule dual EP2/EP4 antagonist.

Significance:
Prostaglandin (PGE2) drives tumor progression but the pathway has not been effectively drugged. We demonstrate significantly enhanced immunologic potency and antitumor activity through blockade of EP2 and EP4 PGE2 receptor signaling together with a single molecule.
Rank-Aware Negative Training for Semi-Supervised Text Classification
Authors: Murtadha Ahmed , Pan Shengfeng , Bo Wen , Su Jianlin , Cao Xinxin , Zhang Wenze , Liu Yunfeng 
Published: July 2023

Abstract
Semi-supervised text classification-based paradigms (SSTC) typically employ the spirit of self-training. The key idea is to train a deep classifier on limited labeled texts and then iteratively predict the unlabeled texts as their pseudo-labels for further training. However, the performance is largely affected by the accuracy of pseudo-labels, which may not be significant in real-world scenarios. This paper presents a Rank-aware Negative Training (RNT) framework to address SSTC in learning with noisy label settings. To alleviate the noisy information, we adapt a reasoning with uncertainty-based approach to rank the unlabeled texts based on the evidential support received from the labeled texts. Moreover, we propose the use of negative training to train RNT based on the concept that “the input instance does not belong to the complementary label”. A complementary label is randomly selected from all labels except the label on-target. Intuitively, the probability of a true label serving as a complementary label is low and thus provides less noisy information during the training, resulting in better performance on the test data. Finally, we evaluate the proposed solution on various text classification benchmark datasets. Our extensive experiments show that it consistently overcomes the state-of-the-art alternatives in most scenarios and achieves competitive performance in the others. The code of RNT is publicly available on GitHub.
MENLI: Robust Evaluation Metrics from Natural Language Inference
Authors: Chen Yanran , Eger Steffen 
Published: July 2023

AbstractRecently proposed BERT-based evaluation metrics for text generation perform well on standard benchmarks but are vulnerable to adversarial attacks, e.g., relating to information correctness. We argue that this stems (in part) from the fact that they are models of semantic similarity. In contrast, we develop evaluation metrics based on Natural Language Inference (NLI), which we deem a more appropriate modeling. We design a preference-based adversarial attack framework and show that our NLI based metrics are much more robust to the attacks than the recent BERT-based metrics. On standard benchmarks, our NLI based metrics outperform existing summarization metrics, but perform below SOTA MT metrics. However, when combining existing metrics with our NLI metrics, we obtain both higher adversarial robustness (15%–30%) and higher quality metrics as measured on standard benchmarks (+5% to 30%).
‘In fact’ on PTT Gossip
Authors: Liu Hui-Wen 
Published: July 2023

Abstract
This study used shell noun as the starting point to analyze language activities that used the word shì shí shàng ‘in fact’ by Internet users on PTT, to understand the truth event that this empty shell noun signifies; and to identify the characteristics of pragmatic practice in the texts screened by the shell noun. Through the PTT Tool, posts with more than 100 comments on the PTT Gossip board during the level 3 alert were first screened out, after which comments that used the word “in fact” were identified. A total of 867 comments contained the word “in fact”. Next, content analysis was applied to classify these comments according to their literal themes. The author discovered that the functional word “in fact” was a word used to provide multiple evidence and create words with ‘objective’ effects. When used to express dissenting opinions, “in fact” enables netizens to use it for shifting their tone, willingly abandoning the responsibility for the speech.
The Sound of Diaspora: The Evolution and Transformation of Indo-Caribbean Music
Authors: Khan Shazia , Sahoo Ajaya K. 
Published: July 2023

Abstract
Traditional North-Indian music has played a crucial role in creating a distinct identity for Indians in the Caribbean since the arrival of the first indentured migrants in 1838. The use of socio-cultural and political elements to connect with the homeland is one of the important features of Indo-Caribbean music. ‘Creolisation’ is indisputable in Caribbean music, which was a result of merging Indian music with local Caribbean music, giving rise to different styles of music, i.e., Baithak Gana, Chutney, and Chutney Soca. This article examines diasporic metamorphoses as a means to understanding how immigrants from India asserted their ethnic identity through such metrics of music. One of the important findings of this research shows that Indians in the Caribbean tried to keep Hindustani music alive despite constant changes taking place in the field as a result of globalisation.
What Impact? Communicating Severity Forecast Information through the Winter Storm Severity Index
Authors: Semmens Kathryn , Hogan Carr Rachel , Montz Burrell , Maxfield Keri 
Published: July 2023

Abstract
Communicating the threat of severe winter weather is not simply a matter of the number of inches of snow or degrees of cold; it also considers the potential impacts of the storm. The winter storm severity index (WSSI) is a graphical product from the National Weather Service that presents anticipated impacts from forecast winter weather for a range of winter conditions. To assess the utility of the WSSI and how an impact-based winter weather forecast product is interpreted and used to inform decision-making, a mixed-methods social science study was conducted by the Nurture Nature Center in coordination with the Weather Prediction Center. Through focus groups and surveys, testing in the Hydrometeorological Testbed, and iterations on design and category descriptions, several themes emerged about how professional stakeholders understand, interpret, and use this product for communicating about impending winter weather. There is perceived utility in the WSSI for situational awareness and as part of a package of other information to inform decision-making. However, there is variability in interpretations of impacts, resulting from differences in geography, community readiness, and experience, among other factors, which creates complications in communicating the forecast. Furthermore, many users seek quantities related to winter weather, suggesting that education about what impact-based products include and what data are shown is necessary. Understanding the factors that influence perspectives on impact levels and the variable needs for winter weather information across regions improves forecasters’ abilities to effectively communicate and provide critical information that helps end users prepare for severe winter weather.

Significance Statement
Effectively communicating severe winter weather is critical to supporting communities in being prepared for and mitigating weather-related losses and damages. The winter storm severity index focuses on impacts to provide awareness of impending winter weather, information that is useful but not always interpreted consistently, requiring an understanding of factors influencing perspectives on impact levels and user education.
Renal Implications of Long-Term Systemic Bevacizumab for Recurrent Respiratory Papillomatosis
Authors: Robinson Cal H. , Hart-Matyas Michael , Morgenstern Daniel A. , Noone Damien , Campisi Paolo 
Published: July 2023

Background: Bevacizumab is a vascular endothelial growth factor (VEGF) inhibitor that is used off-label for select cases of recurrent respiratory papillomatosis (RRP) that are severe, involve the distal airway or lung parenchyma, and refractory to other forms of adjuvant therapy. However, there is limited safety data for the use of bevacizumab in children and VEGF inhibitors are reported to have a range of adverse renal effects, including hypertension, proteinuria, and thrombotic microangiopathy (TMA). Case-Diagnosis/Treatment: This report describes a case of severe juvenile-onset RRP that had an exceptionally high operative burden that was refractory to several adjuvant treatment strategies (including intralesional cidofovir and subcutaneous pegylated interferon). Bevacizumab treatment resulted in a dramatic and sustained improvement in disease control over a 5-year period. However, after 3 years of treatment, the patient developed hypertension and proteinuria and was found to have evidence of a glomerular TMA on kidney biopsy. These complications were successfully managed with a reduction in bevacizumab frequency and angiotensin-converting enzyme inhibitor initiation. Conclusions: Clinicians caring for children treated with VEGF inhibitors should be aware of the potential renal complications and their management.