bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sensitive MRD Detection from Lymphatic Fluid after Surgery in HPV-Associated Oropharyngeal Cancer
Authors: Earland Noah , Semenkovich Nicholas P. , Ramirez Ricardo J. , Gerndt Sophie P. , Harris Peter K. , Gu Zhuosheng , Hearn Andrew I. , Inkman Matthew , Szymanski Jeffrey J. , Whitfield Damion , Wahle Benjamin M. , Xu Zhongping , Chen Kevin , Alahi Irfan , Ni Gabris , Chen Andrew , Winckler Wendy , Zhang Jin , Chaudhuri Aadel A. , Zevallos Jose P. 
Published: November 2023

Abstract

Purpose:
Our goal was to demonstrate that lymphatic drainage fluid (lymph) has improved sensitivity in quantifying postoperative minimal residual disease (MRD) in locally advanced human papillomavirus (HPV)-associated oropharyngeal squamous cell carcinoma (OPSCC) compared with plasma, and leverage this novel biofluid for patient risk stratification.

Experimental Design:
We prospectively collected lymph samples from neck drains of 106 patients with HPV (+) OPSCC, along with 67 matched plasma samples, 24 hours after surgery. PCR and next-generation sequencing were used to quantify cancer-associated cell-free HPV (cf-HPV) and tumor-informed variants in lymph and plasma. Next, lymph cf-HPV and variants were compared with TNM stage, extranodal extension (ENE), and composite definitions of high-risk pathology. We then created a machine learning model, informed by lymph MRD and clinicopathologic features, to compare with progression-free survival (PFS).

Results:
Postoperative lymph was enriched with cf-HPV compared with plasma (P &lt; 0.0001) and correlated with pN2 stage (P = 0.003), ENE (P &lt; 0.0001), and trial-defined pathologic risk criteria (mean AUC = 0.78). In addition, the lymph mutation number and variant allele frequency were higher in pN2 ENE (+) necks than in pN1 ENE (+) (P = 0.03, P = 0.02) or pN0-N1 ENE (−) (P = 0.04, P = 0.03, respectively). The lymph MRD-informed risk model demonstrated inferior PFS in high-risk patients (AUC = 0.96, P &lt; 0.0001).

Conclusions:
Variant and cf-HPV quantification, performed in 24-hour postoperative lymph samples, reflects single- and multifeature high-risk pathologic criteria. Incorporating lymphatic MRD and clinicopathologic feature analysis can stratify PFS early after surgery in patients with HPV (+) head and neck cancer.
See related commentary by Shannon and Iyer, p. 1223
ERK1/2 Phosphorylation Predicts Survival in Recurrent Glioblastoma Following Intracerebral and Adjuvant PD-1/CTLA-4 Immunotherapy: A REMARK-guided Analysis
Authors: Arrieta Víctor A. , Duerinck Johnny , Burdett Kirsten B. , Habashy Karl J. , Geens Wietse , Gould Andrew , Schwarze Julia K. , Dmello Crismita , Kim Kwang-Soo , Saganty Ruth , Chen Li , Moscona Alberto , McCord Matthew , Lee-Chang Catalina , Horbinski Craig M. , Zhang Hui , Stupp Roger , Neyns Bart , Sonabend Adam M. 
Published: November 2023

Abstract

Purpose:
Evidence suggests that MAPK pathway activation, as measured by ERK1/2 phosphorylation (p-ERK), predicts overall survival (OS) in patients with recurrent glioblastoma receiving anti-PD-1 therapy. We aimed to validate these findings in independent cohorts.

Experimental Design:
In a 24-patient clinical trial on recurrent glioblastoma and high-grade gliomas, we examined the link between p-ERK levels and OS. Patients received intravenous nivolumab, followed by maximal safe resection and an intracerebral injection of either ipilimumab alone or combined with nivolumab. Biweekly adjuvant nivolumab was then administered up to five times (NCT03233152). Using REporting recommendations for tumor MARKER prognostic studies (REMARK) criteria, we conducted independent analyses for p-ERK quantification and statistical evaluations. Additional comparative analysis included prior cohorts, totaling 65 patients. Cox proportional hazards models and meta-analysis were employed to assess p-ERK as a predictive biomarker after immunotherapy.

Results:
Lower median p-ERK+ cell density was observed compared with prior studies, likely due to variable tissue processing across cohorts. Nonetheless, high p-ERK was associated with prolonged OS, particularly in isocitrate dehydrogenase wild-type glioblastomas (P = 0.036). Median OS for high and low p-ERK patients were 55.6 and 30 weeks, respectively. Multivariable analysis reinforced p-ERK's significance in survival prediction (P = 0.011). Upon p-ERK normalization across cohorts (n = 65), meta-analysis supported the survival benefit of elevated tumor p-ERK levels (P = 0.0424).

Conclusions:
This study strengthens the role of p-ERK as a predictive biomarker for OS in patients with glioblastoma on immune checkpoint blockade. Future research should focus on further validation in prospective trials and the standardization of preanalytical variables influencing p-ERK quantification.
Olaparib plus Durvalumab, with or without Bevacizumab, as Treatment in PARP Inhibitor-Naïve Platinum-Sensitive Relapsed Ovarian Cancer: A Phase II Multi-Cohort Study
Authors: Drew Yvette , Kim Jae-Weon , Penson Richard T. , O'Malley David M. , Parkinson Christine , Roxburgh Patricia , Plummer Ruth , Im Seock-Ah , Imbimbo Martina , Ferguson Michelle , Rosengarten Ora , Steeghs Neeltje , Kim Min Hwan , Gal-Yam Einav , Tsoref Daliah , Kim Jae-Hoon , You Benoit , De Jonge Maja , Lalisang Roy , Gort Eelke , Bastian Sara , Meyer Kassondra , Feeney Laura , Baker Nigel , Ah-See Mei-Lin , Domchek Susan M. , Banerjee Susana ,   for the MEDIOLA Investigators
Published: November 2023

Abstract

Purpose:
Early results from the phase II MEDIOLA study (NCT02734004) in germline BRCA1- and/or BRCA2-mutated (gBRCAm) platinum-sensitive relapsed ovarian cancer (PSROC) showed promising efficacy and safety with olaparib plus durvalumab. We report efficacy and safety of olaparib plus durvalumab in an expansion cohort of women with gBRCAm PSROC (gBRCAm expansion doublet cohort) and two cohorts with non-gBRCAm PSROC, one of which also received bevacizumab (non-gBRCAm doublet and triplet cohorts).

Patients and Methods:
In this open-label, multicenter study, PARP inhibitor-naïve patients received olaparib plus durvalumab treatment until disease progression; the non-gBRCAm triplet cohort also received bevacizumab. Primary endpoints were objective response rate (ORR; gBRCAm expansion doublet cohort), disease control rate (DCR) at 24 weeks (non-gBRCAm cohorts), and safety (all cohorts).

Results:
The full analysis and safety analysis sets comprised 51, 32, and 31 patients in the gBRCAm expansion doublet, non-gBRCAm doublet, and non-gBRCAm triplet cohorts, respectively. ORR was 92.2% [95% confidence interval (CI), 81.1–97.8] in the gBRCAm expansion doublet cohort (primary endpoint); DCR at 24 weeks was 28.1% (90% CI, 15.5–43.9) in the non-gBRCAm doublet cohort (primary endpoint) and 74.2% (90% CI, 58.2–86.5) in the non-gBRCAm triplet cohort (primary endpoint). Grade ≥ 3 adverse events were reported in 47.1%, 65.6%, and 61.3% of patients in the gBRCAm expansion doublet, non-gBRCAm doublet, and non-gBRCAm triplet cohorts, respectively, most commonly anemia.

Conclusions:
Olaparib plus durvalumab continued to show notable clinical activity in women with gBRCAm PSROC. Olaparib plus durvalumab with bevacizumab demonstrated encouraging clinical activity in women with non-gBRCAm PSROC. No new safety signals were identified.
Adaptive tuning of PID using chef‑based optimization algorithm for improving automatic voltage regulator
Authors: Aribowo Widi , Rahmadian Reza , Widyartono Mahendra 
Published: November 2023

<p>This article presents the proportional-integral-derivative (PID) parameter tuning on the automatic voltage regulator (AVR) using the chef-based optimization algorithm (CBOA). CBOA is modeling cooking training activities consisting of students and young chefs in an effort to mature cooking skills. This article uses other methods as a comparison in measuring the performance of the proposed method. The methods used are grasshopper optimization algorithm (GOA) and cooperation search algorithm (CSA). The simulation results show that the proposed method, namely CBOA, has a better ability in the peak value of overshoot, which is 0.232% compared to the CSA method and 12.99% compared to the GOA method.</p>
Adaptive traffic aware clustering and routing model for wireless sensor networks
Authors: Veeregowdanadoddi Chandraiah Rudramurthy , Ramalingappa Aparna 
Published: November 2023

<span>Designing effective clustering algorithms plays a very important role in improving network lifetime target coverage (NLTC) in heterogeneous wireless sensor networks (HWSNs). However, the current clustering mechanism failed to address hotspot problem resulting in poor coverage and network lifetime performance. Recently, unequal clustering has been used for addressing hotspot problem in HWSNs. However, when performing inter-cluster routing, load balancing is not efficient and the energy degradation is high, which affects the overall network performance. This work introduces an effective model namely adaptive traffic aware clustering and routing (ATACR) model to address hotspot and load balancing issues. The ATACR introduces a novel unequal clustering and ideal distribution of load in different cluster levels. The ATACR model improves network lifetime, reduces control channel overhead, and attains better throughput in comparison with existing routing models.</span>
Enhanced negation handling for sentiment analysis on Twitter using deep neural networks
Authors: Mylarappa Mamatha , Kumar B. N Shiva , J. Gowda Thriveni , K. Rajuk Venugopal 
Published: November 2023

<span>Sentiment analysis is a tool to identify and measure the emotion in a piece of text. Negation handling is an important aspect of natural language processing (NLP) for Twitter data. It is a process of correctly interpreting the sentences containing negation words, such as, "never", "no", "neither" and so on. Negation words are used in machine learning to express negative sentiment or indicate the absence of something. In this article, a negation handling technique using deep learning models. Artificial neural networks (ANNs) and convolutional neural networks (CNNs) for classification is proposed. The system is evaluated on SemEval-2017 dataset. The classification performance is improved by using ANN and CNN on the negative tweets. The study aims to improve the classification accuracy by considering negation words in the text. The paper compares the performance of ANNs and CNNs in handling negation words and evaluates them on the tweets data. This study provides insights into the effectiveness of using deep learning techniques for negation handling in sentiment analysis and highlights the importance of considering negation words in the text for improved sentiment analysis performance. The proposed negation strategy attains a superior performance accuracy over machine learning models by preventing misclassified tweets.</span>
Forecast earthquake precursor in the Flores Sea
Authors: Jufriansah Adi , Anggraini Ade , Zulfakriza Zulfakriza , Khusnani Azmi , Pramudya Yudhiakto 
Published: November 2023

<span>Artificial intelligence (AI) can use seismic training data to discover relationships between inputs and outcomes in real-world applications. Despite this, particularly when using geographical data, it has not been used to predict earthquakes in the Flores Sea. The algorithm will read the seismic data as a pattern of iterations throughout the operation. The output data is created by grouping based on clusters using the most effective WCSS analysis, while the input features are derived from the original international resource information system (IRIS) web service data. Given that earthquake prediction is an effort to reduce seismic disasters, this research is essential. By generating predictions, it can reduce the devastation caused by earthquakes. Using the support vector machine (SVM), hyperparameter support vector machine (HP-SVM), and particle swarm optimization support vector machine (PSO-SVM) algorithms, this study seeks to forecast the Flores Sea earthquake. According to the estimation results, the SVM algorithm’s evaluation value is less precise than that of the HP-SVM, especially the linear HP-SVM and HP-SVM Polynomial models. However, the HP-SVM RBF model’s accuracy rating is identical to that of the traditional SVM model. <br /> The improvement of the PSO-SVM model, which has the finest gamma position and a value of 9.</span>
The State of Acculturation and Identity Distress among Stranded Adolescent Biharis in Bangladesh
Authors: Islam Md Rafiqul , Ahmed Sharmin 
Published: November 2023

Abstract
The Urdu-speaking Bihari people in Bangladesh, living in dilapidated camps with compromised rights and opportunities, constitute one of the most vulnerable diasporas in the South Asian region. These camps have existed for generations and consequently house many adolescents. Yet studies on the acculturation and identity distress of adolescent Biharis are nonexistent. This paper addresses this significant topic directly. Based on a survey using the Abbreviated Multidimensional Acculturation Scale (AMAS-ZABB) and the Identity Distress Survey (IDS) frameworks, this study found that Bihari adolescent youths preferred to associate themselves more with the host identity and culture than with their own. They showed high language competence in their host and origin languages, but only high cultural competence in their host culture. Their identity distress was found to be low across identity, social relationships, religion and group loyalties, but was moderate and evenly distributed around long-term goals and career plans. The recommendations of the study support the integration of the Bihari population into Bangladesh’s population framework, since this diaspora appears to be qualified for this transition.
Social Cohesion in the Indian Community in Vietnam
Authors: Thuong Nguyen Le Thy , Van Linh Nguyen 
Published: November 2023

Abstract
Social cohesion holds significant importance within immigrant communities, providing them with a sense of belonging to a group of people who share many similarities while they are adapting to an unfamiliar environment. This article explores social cohesion in the Indian community in Vietnam through the primary method of surveying and in-depth interviews. The authors believe that the Indian community in Vietnam currently is not closely connected, but that its members show a certain dependence on and trust in the members of the community. Regarding cohesion methods, the article explores the main methods of engagement, such as participation in community activities, in the activities of representative organisations, and in interactive groups on social media. In all three ways it is undeniable that Indians living in Vietnam have made efforts to stick together and unite, but the results have not really been what they wanted.
Feelings matter! Emotions in Medieval Arabic
Authors: Bray Julia 
Published: November 2023

Abstract
The history of emotions is an established field in European studies. It covers all periods and many disciplines. Its premise is that emotions are shaped by culture, and that their expression and effects should be contextualised in time and place. More than this, the history of emotions asserts that emotion and intellect are interconnected, and that understanding emotion is central to understanding historical motivations and actions. This talk argues that we need an Arabic history of emotions, for which the written materials are both abundant and challenging. Identifying and interpreting emotions in medieval Arabic writing — those that it depicts, and those that it arouses in the reader — makes us ask where the task leads us. I have used an example that throws light on how adab functions as an overarching mode of thinking, and in reading it have tried to address the fundamental problem in text-based emotions history, which is distinguishing between literary (imagined) and lived emotions.
A new species of Cardiodectes Wilson C.B., 1917 (Copepoda: Siphonostomatoida: Pennellidae) from Spinyjaw greeneye, Chlorophthalmus corniger Alcock, 1894 off the Indian Ocean
Authors: ANEESH PANAKKOOL THAMBAN , HELNA AMERI KOTTARATHIL , KUMAR APPUKUTTANNAIR BIJU , MARAN BALU ALAGAR VENMATHI 
Published: November 2023

A new species of flesh penetrating parasitic copepod of the genus Cardiodectes Wilson C.B., 1917 (Siphonostomatoida: Pennellidae) parasitizing the fish Spinyjaw greeneye, Chlorophthalmus corniger Alcock, 1894 (Chlorophthalmidae), inhabiting at depths of 265 to 458 meters from the south-west coast of India is described and illustrated. The new species, Cardiodectes vampire sp. nov., can be distinguished from its other 16 congeners by the following features: (i) trunk 3.15 times as long as wide; (ii) extremely long (3.5 times as long as total body length) and uncoiled egg sacs; (iii) difference in the armature of legs 1–3; (iv) comparatively longer trunk (0.7 times as long as total body length). A checklist of valid global species of Cardiodectes with its host and distribution is also provided.
Anomalous Propagation and the Sinking of the Russian Warship Moskva
Authors: Norin Lars , Wellander Niklas , Devasthale Abhay 
Published: November 2023

Abstract
On 13 April 2022, the Russian warship Moskva was hit by two Ukrainian Neptune anti-ship missiles in the Black Sea, leading to its demise. Before launching an anti-ship missile, a target must first be detected and positioned, for example, by an accompanying radar system. However, when the missiles hit the Moskva she was well beyond the normal radar horizon of any ground-based radar system, making the ship undetectable under normal circumstances. Using meteorological reanalysis data, we show that at the time of the missile launch the prevailing weather conditions allowed a ground-based radar to detect targets far beyond the normal radar horizon through anomalous propagation conditions. During such conditions, the atmospheric index of refraction decreases rapidly with height, making electromagnetic radiation bend downward to, partly or fully, compensate the curvature of the Earth. The results show that atmospheric conditions must be considered carefully, even during warfare, as their impact on radar wave propagation can be considerable.
40-Year Statistics of Warm-Season Extreme Hourly Precipitation over Southwest China
Authors: Jiang Rouyi , Cui Xiaopeng , Lin Jian , Tian Jia 
Published: November 2023

Abstract
Southwest China (SWC) possesses complicated topography with frequent geological activities, where heavy precipitation occurs frequently in warm seasons. Few previous studies on extreme precipitation were carried out at hourly scales. In this study, spatiotemporal variations of the extreme hourly precipitation (EHP) over SWC during the warm season of 1981–2020 and the involved mechanisms are investigated. Results show that the threshold and intensity of EHP present similar spatial distribution—lower (higher) in the west (east) part of SWC, while the EHP frequency is opposite. The long-term trend of EHP amount shows a more significant positive tendency than that of hourly precipitation (HP) amount due to synchronous increases in intensity and frequency. The significant increasing trend of EHP occurs in areas above 500-m terrain height, with a weak increasing trend below 500 m (e.g., Chongqing and eastern Sichuan). EHP appears mainly from June to August and exhibits a bimodal distribution in diurnal variation. The mechanism analysis demonstrates that occurrences of EHP are generally accompanied by positive anomalies of temperature, humidity, and geopotential height. Anomalous cyclonic circulation can also be found in the low-level wind field. The westward and northward extension of the western North Pacific subtropical high (WNPSH) as well as temperature rise may be the primary reason for the increase of EHP. For Chongqing and eastern Sichuan, the anticyclone circulation in low-level and the significantly weakened water vapor flux convergence cause poor moisture and dynamic conditions, inhibiting the growth of EHP.

Significance Statement
Heavy precipitation occurs frequently during the warm season in Southwest China (SWC), often causing severe impacts on human safety and economic property. This study analyses spatiotemporal variations of the extreme hourly precipitation (EHP) over SWC during the warm season of 1981–2020 and the involved mechanisms. The increasing trend of EHP far exceeds that of hourly precipitation (HP), especially in areas above 500 m. The westward and northward extension of the western North Pacific subtropical high (WNPSH) and temperature rise may be the main reason for the increase of EHP. For areas below 500 m (e.g., Chongqing and eastern Sichuan), poor moisture and dynamic conditions inhibited the growth of EHP.
The Significance of the Melt-Pond Scheme in a CMIP6 Global Climate Model
Authors: Diamond Rachel , Schroeder David , Sime Louise C. , Ridley Jeff , Feltham Danny 
Published: November 2023

Abstract
The impact of melt ponds on sea ice albedo has been observed and documented. In general circulation models, ponds are now accounted for through indirect diagnostic treatments (“implicit” schemes) or prognostic melt-pond parameterizations (“explicit” schemes). However, there has been a lack of studies showing the impacts of these schemes on simulated Arctic climate. We focus here on rectifying this using the general circulation model HadGEM3, one of the few models with a detailed explicit pond scheme. We identify the impact of melt ponds on the sea ice and climate, and associated ice–ocean–atmosphere interactions. We run a set of constant forcing simulations for three different periods and show, for the first time, that using mechanistically different pond schemes can lead to very significantly different sea ice and climate states. Under near-future conditions, an implicit scheme never yields an ice-free summer Arctic, while an explicit scheme yields an ice-free Arctic in 35% of years and raises autumn Arctic air temperatures by 5° to 8°C. We find that impacts on climate and sea ice depend on the ice state: under near-future and last-interglacial conditions, the thin sea ice is very sensitive to pond formation and parameterization, whereas during the preindustrial period the thicker sea ice is less sensitive to the pond scheme choice. Both of these two commonly used parameterizations of sea ice albedo yield similar results under preindustrial conditions but in warmer climates lead to very different Arctic sea ice and ocean and atmospheric temperatures. Thus, changes to physical parameterizations in the sea ice model can have large impacts on simulated sea ice, ocean, and atmosphere.

Significance Statement
This study investigates the impacts of melt ponds on Arctic sea ice under different climate conditions, using the HadGEM3-GC3.1-LL general circulation model (GCM). Additionally, we study the impact of changing the type of pond scheme used. We find that changing the pond scheme causes large differences to how a GCM simulates Arctic sea ice, the ocean, and the atmosphere, for both near-future and warmer paleoclimate conditions. These large differences have not been found previously, because this is one of the first GCM studies of this type. Our results demonstrate the importance of melt ponds, and their wider impacts on ocean and atmosphere. Furthermore, they suggest that better evaluation of the representation of sea ice processes is vital for the robust projection of future climate change.