bluuebunny/crossref_metadata_2025_split huggingface dataset:
From across the globe – traumatic injuries are an international concern at the US-Mexico border wall
Authors: Lagan Sarah , Haines Laura , Waters Gabriella , Santorelli Jarrett , Berndtson Allison E , Doucet Jay , Costantini Todd W , Adams Laura 
Published: August 2024

IntroductionSocio-economic and political events of recent years have caused a significant increase in immigrants attempting to illegally cross the United States (US)-Mexico border. While a 30-foot border wall separates the US and Mexico, immigrants from around the world have used this location as their point of entry to the US. These border crossings have led to a dramatic increase in major trauma resulting in increased inpatient resource utilization and the need for comprehensive hospital services. The aim of this study was to describe the nationality of injured immigrants admitted to a Trauma Center serving a segment of the US-Mexico border wall and to report their ultimate destinations after discharge.MethodsWe performed a retrospective review of patients admitted to an academic, Level 1 Trauma Center after injury at the US-Mexico border wall from 2021 to 2022. Demographic information was obtained from the trauma registry. The electronic medical record was searched to identify each patient’s self-reported country of origin. Patients’ nationality was then stratified by region of the world to understand geographic representation of border injury admissions.ResultsWe identified 597 patients injured while crossing the US-Mexico border wall representing 38 different countries. The mean age of patients was 32.2±10.4 years and 446 (75%) were male. Most patients (405, 67.8%) were Mexican, followed by 23 (3.9%) patients from Peru, 17 (2.8%) patients from India, 14 (2.3%) patients from El Salvador, 13 (2.2%) patients from Cuba and 12 (2.0%) patients from Jamaica. When considering regions of the world other than Mexico, patients were most commonly from Africa, South America and Central America.ConclusionThe increased volume of trauma associated with the US-Mexico border wall is a humanitarian and health crisis.(1) The diverse national origin of patients admitted after injury from border wall falls has shed new light on the social and interpreter services needed to care for these border injury patients and the challenges that exist in their post-discharge care.
Effect of acclimation temperature on thermal tolerance between American lobster (Homarus americanus) collected in different lobster fishing areas in Atlantic Canada
Authors: Horricks Ryan A. , Clark K. Fraser , Watson Kiersten L. , Lewis-McCrea Leah M. , Reid Gregor K. 
Published: August 2024

The American lobster fishery is the most economically significant commercial fishery in Atlantic Canada and takes place in waters that are warming due to climate change. Lobster are poikilotherms that tolerate a wide range of seasonal temperatures with an optimal range of 12–18 °C. Lobster in the Canadian Maritimes may be naturally acclimated to a wide range of temperatures and thus, could have a wide range of thermal tolerance that may be distinct across regions. The present study used non-invasive open-source tools to explore differences in thermal tolerance in real time between geographically separated lobster populations from around the Canadian Maritimes. Lobsters were acquired from six lobster fishing areas in the Canadian Maritimes and acclimated to either warm (15 °C) or cold (5 °C) water for two weeks before the onset of thermal trials. Geographic origin was not a significant predictor of estimated thermal maximum, while acclimation temperature was a significant predictor. These results suggest that thermal tolerance is more strongly linked to acclimation temperature than to geographic region.
Experimental study on coherent structures by small particles suspended in high aspect-ratio ($$\Gamma =$$ 2.5) thermocapillary liquid bridges of high Prandtl number
Authors: Kato Keiichiro , Sensui Shogo , Noguchi Shin , Kurose Kizuku , Ueno Ichiro 
Published: August 2024

AbstractIn time-dependent traveling-wave convection, it has been confirmed that small particles of low Stokes number ($$\textrm{St}\ll$$

St
≪

1) form three-dimensional closed structures known as the particle accumulation structures (PASs). We focus on coherent structures formed in high aspect-ratio thermocapillary liquid bridges ($$\Gamma =$$

Γ
=

2.5), where oscillatory convection due to the so-called hydrothermal wave instability of $$m_{\textrm{HTW}}=$$

m
HTW

=

1 stably emerges, and carry out experimental explorations into the volume ratio dependence of the emergence of coherent structures. Variation in the volume ratio induces the presence of coherent structures with different azimuthal wave numbers, that is, different spatial structures. Among the particles added to the liquid bridge, we perform spatio-temporal tracking of particles to quantify the correlation between the behavior of particles and the spatial structures of coherent structures with different rational wave numbers.
From the Editor-in-Chief
Authors: Gorla Daniele 
Published: August 2024

Welcome everybody to the third issue of 2024! Some of us are already in holiday, some are still at work; surely, many of us will meet in the forthcoming conferences, mostly our flagship conference (LICS). In the meanwhile, I invite you to read the present issue of SIGLOG News, whose contents are the following:
-The SIGLOG Chair introduces this year edition of LICS and reports on the current situation of SIGLOG.
-We present the outcome of the 2024 Alonzo Church Award. This prize was established in 2015 by SIGLOG, by the European Association for Theoretical Computer Science (EATCS), by the European Association for Computer Science Logic (EACSL), and by the Kurt Goedel Society (KGS). In 2022 the KGS was dissolved and, since then, the award has been sponsored by EACSL, EATCS and SIGLOG. The award is for an outstanding contribution represented by a paper or by a small group of papers published within the past 25 years. This year's recipients are Thomas Ehrhard and Laurent Regnier.

-Then, you can read a new semantics column, edited by Prakash Panangaden and written by Samson Abramsky and Luca Reggio, on
Game comonads
; these offer a categorical view of a number of model-comparison games central to model theory and provide a new bridge between categorical methods developed for semantics, and the combinatorial and algorithmic methods of resource-sensitive model theory.

-To conclude, we wrap up this number with the latest issue of SIGLOG Monthly, prepared by Elli Anastasiadi.
Metabolomic Prediction of Breast Cancer Treatment–Induced Neurologic and Metabolic Toxicities
Authors: Piffoux Max , Jacquemin Jérémie , Pétéra Mélanie , Durand Stéphanie , Abila Angélique , Centeno Delphine , Joly Charlotte , Lyan Bernard , Martin Anne-Laure , Everhard Sibille , Boyault Sandrine , Pistilli Barbara , Fournier Marion , Rouanet Philippe , Havas Julie , Sauterey Baptiste , Campone Mario , Tarpin Carole , Mouret-Reynier Marie-Ange , Rigal Olivier , Petit Thierry , Lasset Christine , Bertaut Aurélie , Cottu Paul , André Fabrice , Vaz-Luis Ines , Pujos-Guillot Estelle , Drouet Youenn , Trédan Olivier 
Published: August 2024

Abstract

Purpose:
Long-term treatment-related toxicities, such as neurologic and metabolic toxicities, are major issues in breast cancer. We investigated the interest of metabolomic profiling to predict toxicities.

Experimental Design:
Untargeted high-resolution metabolomic profiles of 992 patients with estrogen receptor (ER)+/HER2− breast cancer from the prospective CANTO cohort were acquired (n = 1935 metabolites). A residual-based modeling strategy with discovery and validation cohorts was used to benchmark machine learning algorithms, taking into account confounding variables.

Results:
Adaptive Least Absolute Shrinkage and Selection (adaptive LASSO) has a good predictive performance, has limited optimism bias, and allows the selection of metabolites of interest for future translational research. The addition of low-frequency metabolites and nonannotated metabolites increases the predictive power. Metabolomics adds extra performance to clinical variables to predict various neurologic and metabolic toxicity profiles.

Conclusions:
Untargeted high-resolution metabolomics allows better toxicity prediction by considering environmental exposure, metabolites linked to microbiota, and low-frequency metabolites.
Decoding Patient Heterogeneity Influencing Radiation-Induced Brain Necrosis
Authors: Chamseddine Ibrahim , Shah Keyur , Lee Hoyeon , Ehret Felix , Schuemann Jan , Bertolet Alejandro , Shih Helen A. , Paganetti Harald 
Published: August 2024

Abstract

Purpose:
In radiotherapy (RT) for brain tumors, patient heterogeneity masks treatment effects, complicating the prediction and mitigation of radiation-induced brain necrosis. Therefore, understanding this heterogeneity is essential for improving outcome assessments and reducing toxicity.

Experimental Design:
We developed a clinically practical pipeline to clarify the relationship between dosimetric features and outcomes by identifying key variables. We processed data from a cohort of 130 patients treated with proton therapy for brain and head and neck tumors, utilizing an expert-augmented Bayesian network to understand variable interdependencies and assess structural dependencies. Critical evaluation involved a three-level grading system for each network connection and a Markov blanket analysis to identify variables directly impacting necrosis risk. Statistical assessments included log-likelihood ratio, integrated discrimination index, net reclassification index, and receiver operating characteristic (ROC).

Results:
The analysis highlighted tumor location and proximity to critical structures such as white matter and ventricles as major determinants of necrosis risk. The majority of network connections were clinically supported, with quantitative measures confirming the significance of these variables in patient stratification (log-likelihood ratio = 12.17; P = 0.016; integrated discrimination index = 0.15; net reclassification index = 0.74). The ROC curve area was 0.66, emphasizing the discriminative value of nondosimetric variables.

Conclusions:
Key patient variables critical to understanding brain necrosis post-RT were identified, aiding the study of dosimetric impacts and providing treatment confounders and moderators. This pipeline aims to enhance outcome assessments by revealing at-risk patients, offering a versatile tool for broader applications in RT to improve treatment personalization in different disease sites.
TEAD2 Promotes Hepatocellular Carcinoma Development and Sorafenib Resistance via TAK1 Transcriptional Activation
Authors: Zhang Yahui , Ren Yidan , Dong Guoying , Jiao Qinlian , Guo Nan , Gao Ping , Li Ya , Wang Yunshan , Zhao Wei 
Published: August 2024

Abstract
Hepatocellular carcinoma (HCC) is the most prevalent type of liver cancer, yet the effectiveness of treatment for patients with HCC is significantly hindered by the development of drug resistance to sorafenib. Through the application of accessibility sequencing to examine drug-resistant HCC tissues, we identified substantial alterations in chromatin accessibility in sorafenib-resistant patient-derived xenograft models. Employing multiomics data integration analysis, we confirmed that the key transcription factor TEAD2, which plays an important role in the Hippo signaling pathway, is a key factor in regulating sorafenib resistance in HCC. Functional assays illustrated that TEAD2 plays a role in promoting HCC progression and enhancing resistance to sorafenib. Mechanistically, we demonstrated that TEAD2 binds to the TAK1 promoter to modulate its expression. Furthermore, we established the involvement of TAK1 in mediating TEAD2-induced sorafenib resistance in HCC, a finding supported by the effectiveness of TAK1 inhibitors. Our research highlights that targeting the TEAD2-TAK1 axis can effectively mitigate drug resistance in patients with HCC receiving sorafenib treatment, offering a novel approach for enhancing the treatment outcomes and prognosis of individuals with HCC.
Implications: Targeting the TEAD2-TAK1 axis presents a promising therapeutic strategy to overcome sorafenib resistance in HCC, potentially improving treatment outcomes and prognosis for patients.
“All the Stars Will Be Wells with a Rusty Pulley”: Neural Processing of the Social and Pragmatic Content in a Narrative
Authors: Thye Melissa , Hoffman Paul , Mirman Daniel 
Published: August 2024

Abstract
Making sense of natural language and narratives requires building and manipulating a situation model by adding incoming information to the model and using the context stored in the model to comprehend subsequent details and events. Situation model maintenance is supported by the default mode network (DMN), but comprehension of the individual moments in the narrative relies on access to the conceptual store within the semantic system. The present study examined how these systems are engaged by different narrative content to investigate whether highly informative, or semantic, content is a particularly strong driver of semantic system activation compared with contextually driven content that requires using the situation model, which might instead engage DMN regions. The study further investigated which subregions of the graded semantic hub in the left anterior temporal lobe (ATL) were engaged by the type of narrative content. To do this, we quantified the semantic, pragmatic, social, ambiguous, and emotional content for each sentence in a complete narrative, the English translation of The Little Prince. Increased activation in the transmodal hub in the ventral ATL was only observed for high semantic (i.e., informative) relative to low semantic sentences. Activation in the dorsolateral and ventrolateral ATL subregions was observed for both high relative to low semantic and social content sentences, but the ventrolateral ATL effects were more extensive in the social condition. There was high correspondence between the social and pragmatic content results, particularly in the ventrolateral ATL. We argue that the ventrolateral ATL may be particularly engaged by internal, or endogenous, processing demands, aided by functional connections between the anterior middle temporal gyrus and the DMN. Pragmatic and social content may have driven endogenous processing given the pervasive and plot-progressing nature of this content in the narrative. We put forward a revised account of how the semantic system is engaged in naturalistic contexts, a critical step toward better understanding real-world semantic and social processing.
Two “What” Networks in the Human Brain
Authors: Vaziri-Pashkam Maryam 
Published: August 2024

Abstract
Ungerleider and Mishkin, in their influential work that relied on detailed anatomical and ablation studies, suggested that visual information is processed along two distinct pathways: the dorsal “where” pathway, primarily responsible for spatial vision, and the ventral “what” pathway, dedicated to object vision. This strict division of labor has faced challenges in light of compelling evidence revealing robust shape and object selectivity within the putative “where” pathway. This article reviews evidence that supports the presence of shape selectivity in the dorsal pathway. A comparative examination of dorsal and ventral object representations in terms of invariance, task dependency, and representational content reveals similarities and differences between the two pathways. Both exhibit some level of tolerance to image transformations and are influenced by tasks, but responses in the dorsal pathway show weaker tolerance and stronger task modulations than those in the ventral pathway. Furthermore, an examination of their representational content highlights a divergence between the responses in the two pathways, suggesting that they are sensitive to distinct features of objects. Collectively, these findings suggest that two networks exist in the human brain for processing object shapes, one in the dorsal and another in the ventral visual cortex. These studies lay the foundation for future research aimed at revealing the precise roles the two “what” networks play in our ability to understand and interact with objects.
Efficient Hyperdimensional Computing With Spiking Phasors
Authors: Orchard Jeff , Furlong P. Michael , Simone Kathryn 
Published: August 2024

Abstract
Hyperdimensional (HD) computing (also referred to as vector symbolic architectures, VSAs) offers a method for encoding symbols into vectors, allowing for those symbols to be combined in different ways to form other vectors in the same vector space. The vectors and operators form a compositional algebra, such that composite vectors can be decomposed back to their constituent vectors. Many useful algorithms have implementations in HD computing, such as classification, spatial navigation, language modeling, and logic. In this letter, we propose a spiking implementation of Fourier holographic reduced representation (FHRR), one of the most versatile VSAs. The phase of each complex number of an FHRR vector is encoded as a spike time within a cycle. Neuron models derived from these spiking phasors can perform the requisite vector operations to implement an FHRR. We demonstrate the power and versatility of our spiking networks in a number of foundational problem domains, including symbol binding and unbinding, spatial representation, function representation, function integration, and memory (i.e., signal delay).
Westward Displacement of Atmospheric East–West Circulation Ameliorated Drought-Induced Conditions in Australia and India during the Major 2023–24 and 1997–98 El Niño Events
Authors: Allan Rob J. , Stone Roger C. 
Published: August 2024

Abstract
Based on a compilation of widely available climate analysis products, we show evidence for a significant variation in the spatial pattern of the large-scale vertical zonal atmospheric circulation patterns across the equatorial Indo-Australasian domain of the Eastern Hemisphere during the major 2023–24 El Niño event. The region of large-scale subsidence and its associated teleconnection patterns that are usually centered across Indonesia (the “Maritime Continent”) were displaced to the west over the equatorial Indian Ocean. In the record of El Niño events with readily available online dynamical tropospheric fields (one source from 1947 and the other from 1979), this has only been seen two other times, during the strong 1997–98 El Niño and the weaker 1977–78 event. These three events may well be consistent with internal variability, but at present, the reason for such occurrences has not been established.
Modified Frailty Index for Patients Undergoing Surgery for Colorectal Cancer: Analysis of the National Inpatient Sample From 2015 to 2019
Authors: Alsayari Rehab , McKechnie Tyler , Kazi Tania , Heimann Luke , Sachdeva Anjali , Lee Yung , Huo Bright , Sne Niv , Hong Dennis , Eskicioglu Cagla 
Published: August 2024

Background Frailty is increasingly recognized as a perioperative risk for numerous surgical diseases. We applied the modified frailty index (mFI-11) to the National Inpatient Sample (NIS) for patients undergoing surgery for colorectal cancer (CRC). Methods We performed a retrospective analysis of the NIS (2015-2019) including CRC patients undergoing surgery. We classified patients into frail (ie, mFI ≥0.27) and robust (ie, mFI <0.27) categories. Primary outcomes were in-hospital postoperative morbidity and mortality. The secondary outcomes included system-specific postoperative morbidity and length of stay (LOS). Multivariable regression models were fit. Results Within the 53,652 identified patients undergoing surgery for CRC, 19.1% were frail. Frail patients were at higher risk of postoperative mortality (3.1% vs 1.0%, odds ratio [OR] 1.96, 95% confidence intervals [CIs] 1.68-2.30, P < 0.001), morbidity (41.3 % vs 23.1%, OR 1.75, 95% CI 1.66-1.83, P < 0.001), and LOS (mean difference [MD] 1.46, 95% CI 0.29-1.62, P < 0.001). Significant differences existed between groups in system-specific postoperative morbidity, with the largest effect estimates seen in cardiovascular morbidities (OR 4.07, 95% CI 3.36-4.93, P = 0.001), followed by respiratory (OR 1.75, 95% CI 1.66-1.83, P = 0.001). Conclusion Frail patients undergoing CRC surgery are at risk of increased postoperative complications. Preoperative frailty screening may allow for individualized preoperative counseling.
PTSD symptoms among patients with multiple sclerosis in Jordan during October 7th Gaza war outbreak
Authors: Gammoh Omar , Qnais Esam , Abu Alshaikh Hanan , Mansour Mohammad , Al-Habahbeh Suha , Weshah Feras , Ennab Wail , Alotaibi Badriyah S. , Alqudah Abdelrahim 
Published: August 2024

Objective Clinicians have noted that the ongoing war on Gaza has had a psychological impact on people with multiple sclerosis (PwMS) whose mental health is particularly vulnerable during stressful times such as these. The present study sought to examine the prevalence and correlates of posttraumatic stress disorder (PTSD) symptoms among PwMS in Jordan during the Gaza war outbreak. Methods This was a cross-sectional study involving 171 patients (PwMS) out of 372 patients approached (46% response rate) who were being seen in the MS unit at Al Bashir Hospital, Ammann, Jordan. Inclusion criteria required that participants had been following daily news updates of the October 7 war in Gaza during a period of 4 months. Results Of participants, 125 (73.1%) were female, 98 (57.3%) were on therapy for less than five years, and 30 (17.5%) reported having a relapse during the past 6 months. Significant PTSD symptoms were identified in 58.5% (100 of 171 participants). Those at higher risk were the unemployed (OR = 2.14, 95% CI = 1.13-4.07, P = 0.02), whereas patients receiving dimethyl fumarate (19.9%) were at lower risk (OR = 0.43, 95% CI = 0.19-0.94, P = 0.02). Conclusion The high rate of significant PTSD symptoms among people with MS in this study underscores the need for attention by primary care providers and the implementation of a comprehensive multidisciplinary approach to optimize the mental well-being of this fragile population.
In situ simulation in the intensive care unit: A phenomenological study of staff experiences
Authors: Ferre Andres , Giglio Andres , Van Sint Jan Nicolette , Garcia Javiera , Benites Martin , Vergara Karen , Galleguillos María , Dreyse Jorge , Hasbun Pablo 
Published: August 2024

Objective To explore the experiences of clinical and non-clinical staff in an intensive care unit regarding the perceived benefits and drawbacks of using in situ simulation as a training tool. Methods A descriptive phenomenological qualitative study was conducted among clinical and nonclinical ICU personnel. Simulations and interviews were conducted until data saturation was achieved. The interviews were recorded, transcribed verbatim for analysis, and interpreted using the Colaizzi method. Results Ten participant interviews generated data saturation. ISS was found to be feasible and beneficial in the ICU, facilitating experiential and emotion-based learning in real-world environments. Eight result categories were identified: simulation benefits, simulation benefits in real conditions, scenario authenticity, interference with usual work, ISS sessions, high-fidelity generating affective bonding, ISS as knowledge reinforcement, and recommendations for improvement. The fundamental structure revealed that ISS is perceived as an authentic and emotionally impactful team simulation modality that promotes experiential learning, reflection, and care improvement opportunities within the complex sociotechnical system of the ICU. Conclusions All interviewees considered ISS to be a feasible simulation tool that should be implemented in the ICU to improve knowledge and skills, thereby enhancing teamwork.