bluuebunny/crossref_metadata_2025_split huggingface dataset:
Harnessing Artificial Intelligence for the Detection and Management of Colorectal Cancer Treatment
Authors: Jacob Michael , Reddy Ruhananhad P. , Garcia Ricardo I. , Reddy Aananya P. , Khemka Sachi , Roghani Aryan Kia , Pattoor Vasanthkumar , Sehar Ujala , Reddy P. Hemachandra 
Published: July 2024

Abstract
Currently, eight million people in the United States suffer from cancer and it is a major global health concern. Early detection and interventions are urgently needed for all cancers, including colorectal cancer. Colorectal cancer is the third most common type of cancer worldwide. Based on the diagnostic efforts to general awareness and lifestyle choices, it is understandable why colorectal cancer is so prevalent today. There is a notable lack of awareness concerning the impact of this cancer and its connection to lifestyle elements, as well as people sometimes mistaking symptoms for a different gastrointestinal condition. Artificial intelligence (AI) may assist in the early detection of all cancers, including colorectal cancer. The usage of AI has exponentially grown in healthcare through extensive research, and since clinical implementation, it has succeeded in improving patient lifestyles, modernizing diagnostic processes, and innovating current treatment strategies. Numerous challenges arise for patients with colorectal cancer and oncologists alike during treatment. For initial screening phases, conventional methods often result in misdiagnosis. Moreover, after detection, determining the course of which colorectal cancer can sometimes contribute to treatment delays. This article touches on recent advancements in AI and its clinical application while shedding light on why this disease is so common today.
Association Between Cardiovascular Health and Subclinical Atherosclerosis Among Young Adults Using the American Heart Association's “Life's Essential 8” Metrics
Authors: Guo Fangqi , Chen Xinci , Howland Steve , Maldonado Luis E. , Powell Sydney , Gauderman W. James , McConnell Rob , Yan Mingzhu , Whitfield Lora , Li Yanjie , Bastain Theresa M. , Breton Carrie V. , Hodis Howard N. , Farzan Shohreh F. 
Published: July 2024

Background
This study investigated the association of American Heart Association's cardiovascular health guidelines Life's Essential 8 (LE8) and Life's Simple 7 (LS7) with carotid artery outcomes among young adults.

Methods and Results

This cross‐sectional study included 240 young adults (age 24.2±1.6 years) who underwent a carotid ultrasound between 2018 and 2022. LE8 score was calculated from 4 health factors (body mass index, non–high‐density lipoprotein cholesterol, fasting glucose, and blood pressure), and 4 health behaviors (dietary intake, physical activity, tobacco use, and sleep). LS7 was calculated from 7 metrics (all LE8 metrics, except for sleep) with a simpler algorithm. Higher LE8 and LS7 scores both indicate better health and better adherence to American Heart Association guidelines. Carotid artery outcomes included carotid artery intima‐media thickness, arterial stiffness (eg, distensibility), and echogenicity determined by grayscale median of the intima media complex. Results of linear regression analyses, adjusting for age, sex, ethnicity, and parents' highest degree, indicated that a 1‐SD increase in LE8 score was associated with 12.14 μm lower carotid artery intima‐media thickness (95% CI, −20.93 to 3.35), 1.17 (10
−6
×m
2
/N) greater distensibility (95% CI, 0.09–2.24), suggesting less arterial stiffness, and 2.66 μm greater grayscale median of the intima media complex (95% CI, 0.58–4.75), suggesting less lipid deposition. Analyses using LS7 score demonstrated comparable findings. Health factor metrics demonstrated stronger association with carotid artery outcomes, as compared with behavior metrics.

Conclusions
Greater adherence to the American Heart Association's cardiovascular health guidelines is associated with lower risk for subclinical atherosclerosis in young adults. LE8 and LS7 demonstrated comparable associations with carotid artery outcomes.
Glymphatic System Impairment Contributes to the Formation of Brain Edema After Ischemic Stroke
Authors: Zhu Juan , Mo Jiaying , Liu Kewei , Chen Quanfeng , Li Zheqi , He Yihua , Chang Yuan , Lin Chuman , Yu Mingjia , Xu Yikai , Tan Xiangliang , Huang Kaibin , Pan Suyue 
Published: July 2024

BACKGROUND:
Blood-brain barrier damage has traditionally been considered to determine the occurrence and development of poststroke brain edema, a devastating and life-threatening complication. However, no treatment strategy targeting blood-brain barrier damage has been proven clinically effective in ameliorating brain edema.

METHODS:
In mice with stroke models induced by transient middle cerebral artery occlusion (MCAO), the changes in glymphatic system (GS) function impairment were detected by ex vivo fluorescence imaging, 2-photon in vivo imaging, and magnetic resonance imaging within 1 week after MCAO, and the effects of GS impairment and recovery on the formation and resolution of brain edema were evaluated. In addition, in patients with ischemic stroke within 1 week after onset, changes in GS function and brain edema were also observed by magnetic resonance imaging.

RESULTS:
We found that the extravasation of protein-rich fluids into the brain was not temporally correlated with edema formation after MCAO in mice, as brain edema reabsorption preceded blood-brain barrier closure. Strikingly, the time course of edema progression matched well with the GS dysfunction after MCAO. Pharmacological enhancement of the GS function significantly alleviated brain edema developed on day 2 after MCAO, accompanied by less deposition of Aβ (amyloid-β) and better cognitive function. Conversely, functional suppression of the GS delayed the absorption of brain edema on day 7 after MCAO. Moreover, patients with ischemic stroke revealed a consistent trend of GS dysfunction after reperfusion as MCAO mice, which was correlated with the severity of brain edema and functional outcomes.

CONCLUSIONS:
GS is a key contributor to the formation of brain edema after ischemic stroke, and targeting the GS may be a promising strategy for treating brain edema in ischemic stroke.

REGISTRATION:

URL:
https://www.chictr.org.cn/showproj.html?proj=162857
; Unique identifier: NFEC-2019-189.
Can Language Models Handle Recursively Nested Grammatical Structures? A Case Study on Comparing Models and Humans
Authors: Lampinen Andrew 
Published: July 2024

Abstract
How should we compare the capabilities of language models (LMs) and humans? In this article, I draw inspiration from comparative psychology to highlight challenges in these comparisons. I focus on a case study: processing of recursively nested grammatical structures. Prior work suggests that LMs cannot process these structures as reliably as humans can. However, the humans were provided with instructions and substantial training, while the LMs were evaluated zero-shot. I therefore match the evaluation more closely. Providing large LMs with a simple prompt—with substantially less content than the human training—allows the LMs to consistently outperform the human results, even in more deeply nested conditions than were tested with humans. Furthermore, the effects of prompting are robust to the particular structures and vocabulary used in the prompt. Finally, reanalyzing the existing human data suggests that the humans may not perform above chance at the difficult structures initially. Thus, large LMs may indeed process recursively nested grammatical structures as reliably as humans, when evaluated comparably. This case study highlights how discrepancies in the evaluation methods can confound comparisons of language models and humans. I conclude by reflecting on the broader challenge of comparing human and model capabilities, and highlight an important difference between evaluating cognitive models and foundation models.
Usage-based Grammar Induction from Minimal Cognitive Principles
Authors: Jon-And Anna , Michaud Jérôme 
Published: July 2024

Abstract
This study explores the cognitive mechanisms underlying human language acquisition through grammar induction by a minimal cognitive architecture, with a short and flexible sequence memory as its most central feature. We use reinforcement learning for the task of identifying sentences in a stream of words from artificial languages. Results demonstrate the model’s ability to identify frequent and informative multi-word chunks, reproducing characteristics of natural language acquisition. The model successfully navigates varying degrees of linguistic complexity, exposing efficient adaptation to combinatorial challenges through the reuse of sequential patterns. The emergence of parsimonious tree structures suggests an optimization for the sentence identification task, balancing economy and information. The cognitive architecture reflects aspects of human memory systems and decision-making processes, enhancing its cognitive plausibility. While the model exhibits limitations in generalization and semantic representation, its minimalist nature offers insights into some fundamental mechanisms of language learning. Our study demonstrates the power of this simple architecture and stresses the importance of sequence memory in language learning. Since other animals do not seem to have faithful sequence memory, this may be a key to understanding why only humans have developed complex languages.
Exceptions, Instantiations, and Overgeneralization: Insights into How Language Models Process Generics
Authors: Allaway Emily , Bhagavatula Chandra , Hwang Jena D. , McKeown Kathleen , Leslie Sarah-Jane 
Published: July 2024

Abstract
Large language models (LLMs) have garnered a great deal of attention for their exceptional generative performance on commonsense and reasoning tasks. In this work, we investigate LLMs’ capabilities for generalization using a particularly challenging type of statement: generics. Generics express generalizations (e.g., birds can fly) but do so without explicit quantification. They are notable because they generalize over their instantiations (e.g., sparrows can fly) yet hold true even in the presence of exceptions (e.g., penguins do not). For humans, these generic generalizations play a fundamental role in cognition, concept acquisition, and intuitive reasoning. We investigate how LLMs respond to and reason about generics.
To this end, we first propose a framework grounded in pragmatics to automatically generate both exceptions and instantiations – collectively exemplars. We make use of focus—a pragmatic phenomenon that highlights meaning-bearing elements in a sentence—to capture the full range of interpretations of generics across different contexts of use. This allows us to derive precise logical definitions for exemplars and operationalize them to automatically generate exemplars from LLMs. Using our system, we generate a dataset of ∼370kexemplars across ∼17k generics and conduct a human validation of a sample of the generated data.
We use our final generated dataset to investigate how LLMs reason about generics. Humans have a documented tendency to conflate universally quantified statements (e.g., all birds can fly) with generics. Therefore, we probe whether LLMs exhibit similar overgeneralization behavior in terms of quantification and in property inheritance. We find that LLMs do show evidence of overgeneralization, although they sometimes struggle to reason about exceptions. Furthermore, we find that LLMs may exhibit similar non-logical behavior to humans when considering property inheritance from generics.
X-Band Radar and Surface-Based Observations of Cold-Season Precipitation in Western Colorado’s Complex Terrain
Authors: Heflin Stella , Abel Mimi , Biswas Sounak , Morales Annareli , Cifelli Rob , Sedlar Joseph , Feldman Daniel , Chandrasekar V. , Kennedy Patrick 
Published: July 2024

Abstract
Hydrologic processes associated with intermountain cold-season precipitation in the Upper Colorado River basin have important impacts on avalanche forecasting and water resource management. However, traditional weather radar networks struggle with observations in this complex terrain. Data collected during the Study of Precipitation, the Lower Atmosphere, and the Surface for Hydrometeorology (SPLASH) and its sister campaign, Surface Atmosphere Integrated Field Laboratory (SAIL) in the East River watershed of western Colorado, are used to examine a multistorm period from 23 December 2021 to 1 January 2022 that contributed 35% of the total winter precipitation in this watershed. Dual-polarization X-band radar and disdrometer measurements show ∼30-mm differences in precipitation amount at two sites in proximity over four distinct storm events within the period. Wind patterns, synoptic forcings, microphysical characteristics of precipitation, and surface meteorology are analyzed to explain the observed spatial variability of cold-season precipitation in complex mountainous terrain. Analysis shows that differences over time within this event are mainly accounted for by synoptic forcings, such as frontal passages; differences between sites are accounted for by the impact of variations in local wind patterns on precipitation microphysics. Patterns of surface precipitation intensity are compared and found to be correlated with X-band radar signatures; a relationship between a strong dendritic growth stage and intense low-density surface precipitation is reinforced by this study. This relationship demonstrates the importance of particle growth mechanisms on surface snowfall patterns in high-altitude complex terrain, underscoring the importance of realistic microphysical parameterizations.

Significance Statement
The amount and density of snowpack from western Colorado winter storms have significant impacts on water resources in the Upper Colorado River basin. Snowpack characteristics are affected by small-scale differences in how snow forms in the atmosphere. These differences are hard to study in the complex terrain of the Rockies, but data from the SPLASH and SAIL field campaigns allows us to investigate how snow crystal formation and mountain-driven wind patterns affect snow near the surface. Our study finds that snow crystal growth varies over small space and time scales and is likely controlled by the terrain beneath a given location and resultant local wind patterns. These results imply that predicting snowpack in the Rockies requires properly representing local wind patterns and crystal growth processes in models.
Conoce Tus Opciones: The Challenges of Communicating Rip Current Information in Spanish
Authors: Bernhardt Jase , Fallon Kathleen , Dusek Gregory 
Published: July 2024

Abstract
Rip currents are poorly understood by the public and thus a leading cause of weather-related fatalities in the United States. Individuals who speak languages other than English, such as Spanish-speaking communities, have been historically underserved by communication efforts for natural hazards and thus are at additional risk from rip currents. In response, the National Weather Service (NWS) has developed rip current outreach tools translated into Spanish in recent years, though their efficacy has not been systematically tested. We therefore surveyed members of the Spanish-speaking community in the New York City area to gain insights into how the NWS two-page rip current informational brochure is working and possible improvements to be made. The English version of the brochure was also tested, and the results from the two languages were compared. Quantitative survey results indicate that while both brochures are generally effective, several changes could be made to improve clarity, especially for Spanish speakers, who found more issues with the Spanish version. For example, the translation of the term rip current itself used by the NWS, “corrientes de resaca,” was determined to be confusing by some Spanish speakers, as were other pieces of text with complex scientific terms. Moreover, certain graphics contained in the brochure were difficult to understand for users in both languages. The results of this work can be used by the NWS and other agencies to improve their Spanish risk communication tools and can also be used as a guide when translating scientific information into other languages.

Significance Statement
Rip currents, narrow channels of fast-moving water that can pull swimmers away from the shore, are among the leading weather-related killers in the United States yet are poorly understood by the public. Recent efforts to reduce society’s vulnerability to rip currents include the translation of outreach materials from English to Spanish. This study evaluated a new National Weather Service Spanish rip current informational brochure and compared it to the English version. The results show that while both the English and Spanish brochures were generally effective at communicating risk, the Spanish version had more issues, primarily surrounding the translation of scientific terms and phrases. Findings from this research can help guide scientists in designing improved non-English severe weather outreach products.
Efficacy of 0.1% Xylometazoline-Hydrochloride Nasal Decongestant Spray in Postoperative Sign/Symptom Relief Following Septoplasty: A Randomized Control Trial
Authors: Dawood Muhammad Hamza , Feroz Shanila , Sohail Sheza , Roshan Mavra , Perveen Haseefa , Nizam Tasmiha 
Published: July 2024

Objective:This study evaluated the efficacy of 0.1% xylometazoline-hydrochloride nasal decongestant spray compared to 0.9% saline nasal spray in relieving post-septoplasty clinical nasal findings and symptoms. Methods: This triple-blinded randomized-clinical-trial was conducted in 2 tertiary-care hospitals in Karachi-Pakistan. A total of 120 septoplasty patients were recruited from June 20, 2022, to June 20, 2023. Randomly equally-assigned participants received either 0.9% isotonic-saline (control group) or 0.1% xylometazoline-hydrochloride (intervention group) nasal sprays. Participants were instructed to use nasal sprays for 1 week, twice daily, with a 12 hour interval between the 2 doses as a single spray per nostril. Follow-up assessments were conducted on days 3 and 7 after surgery. Postoperative symptoms, nasal-endoscopic findings, adverse-effects, and patient satisfaction were compared using Chi-square test and a P value of <.05 was considered significant. Results: Of 120 participants, 106 were analyzed with 53 participants in each group. By the end of third postoperative day, intervention group exhibited significantly lower rates of self-reported symptoms, including bleeding (7.5%:54.7%), nasal obstruction (3.8%:45.3%), headache (1.9%:30.2%), pain (3.8%:7.5%), as well as clinical nasal findings, including nasal edema (1.9%:58.5%), crusting (11.3%:58.5%), nasal discharge (9.4%:22.6%), and nonhealed scarring (18.9%:58.5%), compared to control group ( P value < .001). On the seventh day, intervention group exhibited absence of self-reported symptoms and clinical nasal findings, whereas control group still experienced moderate symptoms ( P value < .001). Intervention group had significantly higher patient satisfaction ( P value < .001). Conclusions: Xylometazoline spray is highly effective in relieving post-septoplasty clinical nasal findings and symptoms, without adverse effects, indicating potential for wider clinical utilization. Trial Registration: UMIN Clinical-trial-registry: UMIN000052217. ( https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000059598 ).
Diagnostic value of serum fibrin degradation complex DR-70 combined with conventional tumor biomarkers in colorectal cancer
Authors: Wang Xiaoxia , Wei Wei , Hua Nanni , Li Chunyan , Yu Lili 
Published: July 2024

Objective Most patients with colorectal cancer (CRC) show no early symptoms, and tumor markers have low sensitivity and specificity. We therefore investigated the ability of serum fibrin degradation complex DR-70 plus traditional tumor markers to diagnose CRC. Methods We retrospectively screened patients with CRC or non-malignant colorectal diseases, as well as healthy individuals, for inclusion in this study. The individuals’ clinical characteristics were recorded, and serum samples were collected. Expression levels of DR-70 and conventional tumor markers were measured by enzyme-linked immunosorbent assay and electrochemiluminescence. Results DR-70 levels differed significantly among patients with CRC, patients with benign colorectal diseases, and healthy individuals. Receiver operating characteristic curve analysis identified DR-70 as a conventional tumor marker with the highest sensitivity and the second-highest specificity after carcinoembryonic antigen. Conclusions This study identified DR-70 as a reliable marker for the detection, differentiation, and progression of CRC, with good sensitivity and specificity. DR-70 measurement could greatly improve the efficacy of CRC diagnosis when used together with other tumor markers.
Relationship Between Gut Microbiota and Pancreatitis: A Systematic Review
Authors: Zhang Xu , Armel Tcheudjeu Temagna , Tyagi Gaurav 
Published: July 2024

Background and Aims: The human gastrointestinal system hosts a rich and diverse microbial community, surpassing a staggering 10[ 14 ] bacteria, collectively harbouring more than 5,000,000 genes. The aim of this study is to carry out a systematic review of human studies in order to investigate the correlation between the gut microbiota and pancreatic disorders. Materials and Methods: To systematically compile relevant research between 2011 and 2022, a thorough exploration of the MEDLINE and EMBASE databases was executed. The initial search results, encompassing all identified studies, were meticulously scrutinised, including a comprehensive review of their reference lists to ensure the completeness of our search. Initially, our search strategy yielded a total of 114 items. Subsequent refinement involved the removal of 58 duplicate articles identified in both searches. Following a meticulous screening process involving title, abstract and keyword assessments, 36 studies progressed to the next phase of evaluation. However, this cohort underwent further scrutiny, leading to the exclusion of 11 studies categorised as reviews or case reports, 5 in languages other than English that have been published and 20 that did not investigate the microbiome. As a result, a focused set of 20 papers emerged for in-depth evaluation for eligibility. Results: The demographic profile of the patients revealed that nearly half were men, with an average age of 52 years (interquartile range of 44-56). The interquartile range further ranged from 45% to 52%, reflecting the distribution of ages within the group. Among the studies scrutinising acute pancreatitis, gallstones emerged as the predominant cause in 9 out of 15, while 7 studies focusing on chronic pancreatitis found no evidence of gallstones. Conclusion: This comprehensive, systematic investigation has furnished robust evidence substantiating the intricate connection between pancreatitis and the microbiota.