bluuebunny/crossref_metadata_2025_split huggingface dataset:
The cancer inflammation prognostic index is a valuable biomarker for predicting the survival of patients with stage I–III colorectal cancer
Authors: Xie Hailun , Wei Lishuang , Liu Mingxiang , Liang Yanren , Wang Qiwen , Tang Shuangyi , Gan Jialiang 
Published: October 2023

AbstractThis study aimed to assess the relationship between the Cancer-Inflammation Prognostic Index (CIPI) and disease-free survival (DFS) and overall survival (OS) in patients with stage I–III colorectal cancer (CRC). The relationship between the CIPI and survival was evaluated using restricted cubic splines. Survival curves were established using the Kaplan–Meier method and the log-rank test. Cox proportional hazards models were used to explore independent prognostic factors for CRC. Meaningful variables from the multivariate analysis were used to construct prognostic nomograms. The relationship between the CIPI values on a continuous scale and the risk of DFS/OS mortality was an inverted L-shape. Patients with a high CIPI had significantly lower DFS (53.0% vs. 68.5%, p < 0.001) and OS (55.5% vs. 71.7%, p < 0.001) than those with a low CIPI. The CIPI can also serve as an effective auxiliary tool to further distinguish the prognosis of patients with CRC at the same pathological stage, especially for stages II and III. After multivariate adjustment, a high CIPI was found to be an independent risk factor for DFS (HR 1.443, 95% CI 1.203–1.730, p < 0.001) and OS (HR 1.442, 95% CI 1.189–1.749, p < 0.001) in CRC patients. These nomograms have the advantage of integrating individual profiles, tumour characteristics, and serum inflammatory markers, providing favourable discrimination and calibration values. Compared with traditional TNM staging, nomograms have a better predictive performance. The CIPI is an effective and easy-to-use clinical tool for predicting the recurrence and overall mortality of patients with stage I–III CRC.
A data-driven network decomposition of the temporal, spatial, and spectral dynamics underpinning visual-verbal working memory processes
Authors: Rossi Chiara , Vidaurre Diego , Costers Lars , Akbarian Fahimeh , Woolrich Mark , Nagels Guy , Van Schependom Jeroen 
Published: October 2023

AbstractThe brain dynamics underlying working memory (WM) unroll via transient frequency-specific large-scale brain networks. This multidimensionality (time, space, and frequency) challenges traditional analyses. Through an unsupervised technique, the time delay embedded-hidden Markov model (TDE-HMM), we pursue a functional network analysis of magnetoencephalographic data from 38 healthy subjects acquired during an n-back task. Here we show that this model inferred task-specific networks with unique temporal (activation), spectral (phase-coupling connections), and spatial (power spectral density distribution) profiles. A theta frontoparietal network exerts attentional control and encodes the stimulus, an alpha temporo-occipital network rehearses the verbal information, and a broad-band frontoparietal network with a P300-like temporal profile leads the retrieval process and motor response. Therefore, this work provides a unified and integrated description of the multidimensional working memory dynamics that can be interpreted within the neuropsychological multi-component model of WM, improving the overall neurophysiological and neuropsychological comprehension of WM functioning.
Neural scaling of deep chemical models
Authors: Frey Nathan C. , Soklaski Ryan , Axelrod Simon , Samsi Siddharth , Gómez-Bombarelli Rafael , Coley Connor W. , Gadepally Vijay 
Published: October 2023

AbstractMassive scale, in terms of both data availability and computation, enables important breakthroughs in key application areas of deep learning such as natural language processing and computer vision. There is emerging evidence that scale may be a key ingredient in scientific deep learning, but the importance of physical priors in scientific domains makes the strategies and benefits of scaling uncertain. Here we investigate neural-scaling behaviour in large chemical models by varying model and dataset sizes over many orders of magnitude, studying models with over one billion parameters, pre-trained on datasets of up to ten million datapoints. We consider large language models for generative chemistry and graph neural networks for machine-learned interatomic potentials. We investigate the interplay between physical priors and scale and discover empirical neural-scaling relations for language models in chemistry with a scaling exponent of 0.17 for the largest dataset size considered, and a scaling exponent of 0.26 for equivariant graph neural network interatomic potentials.
Systematic evaluation of AML-associated antigens identifies anti-U5 SNRNP200 therapeutic antibodies for the treatment of acute myeloid leukemia
Authors: Knorr Katherine , Rahman Jahan , Erickson Caroline , Wang Eric , Monetti Mara , Li Zhuoning , Ortiz-Pacheco Juliana , Jones Andrew , Lu Sydney X. , Stanley Robert F. , Baez Maria , Fox Nina , Castro Cynthia , Marino Alessandra E. , Jiang Caroline , Penson Alex , Hogg Simon J. , Mi Xiaoli , Nakajima Hideaki , Kunimoto Hiroyoshi , Nishimura Koutarou , Inoue Daichi , Greenbaum Benjamin , Knorr David , Ravetch Jeffrey , Abdel-Wahab Omar 
Published: October 2023

AbstractDespite recent advances in the treatment of acute myeloid leukemia (AML), there has been limited success in targeting surface antigens in AML, in part due to shared expression across malignant and normal cells. Here, high-density immunophenotyping of AML coupled with proteogenomics identified unique expression of a variety of antigens, including the RNA helicase U5 snRNP200, on the surface of AML cells but not on normal hematopoietic precursors and skewed Fc receptor distribution in the AML immune microenvironment. Cell membrane localization of U5 snRNP200 was linked to surface expression of the Fcγ receptor IIIA (FcγIIIA, also known as CD32A) and correlated with expression of interferon-regulated immune response genes. Anti-U5 snRNP200 antibodies engaging activating Fcγ receptors were efficacious across immunocompetent AML models and were augmented by combination with azacitidine. These data provide a roadmap of AML-associated antigens with Fc receptor distribution in AML and highlight the potential for targeting the AML cell surface using Fc-optimized therapeutics.
A simple hydrothermal synthesis of an oxygen vacancy-rich MnMoO4 rod-like material and its highly efficient electrocatalytic nitrogen reduction
Authors: Yin Huhu , Xing Xiujing , Zhang Wei , Li Jin , Xiong Wei , Li Hao 
Published: October 2023

A simple hydrothermal synthesis method was developed to prepare bimetallic oxide MnMoO4 rod-like materials. The typical sample exhibits excellent electrocatalytic NRR performance.
Variations in Eye-Gaze Behaviors Evident When Five Adults With Aphasia-Based Alexia Read Multisentence Passages
Authors: Hux Karen , Knollman-Porter Kelly , Bevelhimer Andrew , Wallace Sarah E. 
Published: October 2023

Purpose:
The problems that people with aphasia encounter when reading passages are poorly understood. This study's purpose was in-depth examination of eye-gaze behaviors exhibited by five people with aphasia-based alexia.

Method:
Five adults with aphasia-based alexia and five neurotypical adults (NAs) read paragraphs while having their eye movements recorded. Acquired data included descriptive characterization of overall eye-gaze behaviors and determination of the (a) percent of fixated words, (b) average fixation duration, (c) average initial and total summed fixation durations of processing attempts on individual words, and (d) effects of word length and frequency on fixation durations. Careful examination of these data allowed examination of consistencies and discrepancies among people with aphasia and supported speculation about underlying deficits.

Results:
Case participants exhibited unique fixation behaviors in comparison to one another and to neurotypical adults. Case participants' total reading time, percent of fixated words, average fixation duration, and average initial and total summed fixation durations on passage words exceeded those of neurotypical adults. Four of five exhibited positive word length and negative word frequency correlations with fixation durations.

Conclusions:
People with aphasia display eye-gaze behaviors unique to them and differing from those of NAs when reading texts. Better understanding of the connection between specific eye-gaze behaviors and problems decoding words, linking them with lexical–semantic information, and constructing meaning from written content is necessary to further progress in developing effective assessment tools and treatments.
Librairie de génie électrique et d’électronique de puissance pour les travaux pratiques en licence EEEA
Authors: Fruchier Olivier , Talbert Thierry , Thiery Frederik 
Published: October 2023

La période COVID19 a été l’occasion de reprendre l’ensemble de nos enseignements, pour leur apporter une nouvelle dimension. Les travaux présentés dans cet article se situent dans la continuité de la « rénovation » de la licence EEEA de l’université de Perpignan Via Domitia. Après une première phase présentée lors du précédent CETSIS orientée transversalité, cet article présent un ensemble d’outils de simulation en électronique de puissance développés spécifiquement pour les salles de TP en licence 2ème et 3ème année de licence EEEA. Les différents composants utilisés en TP ont été modélisés, intégrés dans un ensemble de librairies et mis à disposition de tous élèves. L’objectif est ici de développer l’esprit critique de nos étudiants par la confrontation de résultats théoriques, pratiques et de simulations, le tout dans un format d’échange entre les étudiants et l’enseignant, et entre les étudiants.
A Simple Step-by-Step Guide to Permanent Punctal Occlusion with the Ophthalmic Burr and Suture Technique
Authors: Gjukaj Driton , Dacheva Ivanka , Hildebrand Göran Darius 
Published: October 2023

AbstractThe medical treatment of dry eye disease usually follows a step-wise approach to achieve clinical improvement, ranging from non-surgical interventions with intensive lubrication to
permanent surgical punctal occlusion. While frequent lubrication is essential, the intense regime is often too burdensome and difficult to maintain at the required frequency. Punctal plugs
are an invaluable alternative approach, but also have limitations, especially in conscious children, in whom inserting and re-inserting punctum plugs in clinic can be challenging. If a
patient has permanent and severe dry eye disease and responded well to a trial of temporary punctal plugging, a permanent surgical solution should be considered next. Liu et al showed that a
more successful, yet simple technique to achieve permanent occlusion is to combine de-epithelialising the punctum and ampulla with the immediate firm apposition of the de-epithelialised
surface using a self-absorbable suture – with a success rate of 92% in a prospective study. This article demonstrates this technique step-by-step in an 8-year-old child with severe chronic
dry eye disease following proton beam therapy for orbital rhabdomyosarcoma. She underwent this procedure with excellent results.
Persistent and Late-Onset Disseminated Intravascular Coagulation Are Closely Related to Poor Prognosis in Patients with Sepsis
Authors: Matsuoka Tadashi , Yamakawa Kazuma , Iba Toshiaki , Homma Koichiro , Sasaki Junichi 
Published: October 2023

Background Septic-associated disseminated intravascular coagulation (DIC) is heterogeneous regarding prognosis and responsiveness to anticoagulant therapy.
Objectives To investigate the relationship between the timing of development and recovery of DIC, its prognosis, and the difference in response to anticoagulant therapy in sepsis-associated DIC patients.
Methods This study was performed with a dataset from a multicenter nationwide retrospective cohort study (J-Septic DIC registry) in Japan between 2011 and 2013 to reveal the subgroup “high risk of death in DIC” and investigate the relationship between anticoagulant use and mortality. Patients were assigned to four groups based on the International Society on Thrombosis and Haemostasis-overt DIC status at days 1 and 3: non-DIC (−/−), early-recovered DIC (+/−), late-onset DIC (−/+), and persistent DIC (+/+).
Results A total of 1,922 patients were included. In-hospital mortality in persistent and late-onset DIC patients was significantly higher than in patients with non-DIC and early-recovered DIC. This finding indicates that persistent DIC and late-onset DIC were a poor-prognosis subgroup, “high-risk” DIC. Meanwhile, patients with high-risk DIC treated with anticoagulants had significantly better outcomes than those without anticoagulants after adjusting for confounding factors.
Conclusion This study showed that individuals with a high risk of death, persistent DIC, and late-onset DIC were a poor-prognostic subgroup in septic DIC; however, high-risk DIC is also a subgroup that can obtain more benefits from anticoagulant therapy.
Microwave-Assisted Copper-Catalyzed Coupling of Bromoalkynes and Sulfonamides: Rapid Synthesis of N-Sulfonyl Ynamides
Authors: Lee Joon-Ho , Yeom Hyun-Suk , Hong Su Jeong 
Published: October 2023

AbstractThe synergistic effect of an alcohol solvent and microwave irradiation dramatically increased the C–N coupling rate, enabling the rapid synthesis of N-sulfonyl ynamides in ten minutes. The optimal catalyst, ligand, and solvent combination was investigated, and various bromoalkynes and sulfonamides were shown to be tolerated under these conditions.
Delayed effect of thermal treatment on breaking physical seed dormancy: intrapopulation variation and implications for soil seed banks
Authors: Copete Carreño Miguel A. , Copete Carreño Elena , Ferrandis Gotor Pablo , Herranz Sanz Jose M. 
Published: October 2023

Background Many studies have focused on the dormancy-breaking response to heat treatment of freshly matured seeds and immediately after thermal shock. Aims We evaluated whether the full effect of dry heat scarification in freshly matured seeds could be delayed over time and the possible influence of previous storage in the soil. Methods Adenocarpus argyrophyllus was the model species selected to explore our hypotheses by analysing the: (a) influence of scarification treatments; (b) seedling emergence during 5 years after dry heat scarification of freshly matured seeds, and evaluating intrapopulation variation; (c) seedling emergence after dry heat scarification of seeds rescued from soil; and (d) ability to form persistent soil seed banks. Key results Dry heat scarification of freshly matured seeds only resulted in 22.5% germination. However, exposure to pre-sowing thermal shock stimulated seedling emergence during the first few years post-planting, with high intrapopulation variation. In seeds recovered from soil, thermal shock before reseeding increased the seedling emergence rate. Conclusions and implications Our results show that, to avoid incomplete interpretation, studies of thermal treatment on the breaking of physical seed dormancy should allow the seeds sufficient time to exhibit the complete effects of high temperature treatment, thereby preventing underestimation.
Empire, migration and race in the British parliament (1803–2005)
Authors: Mair Christian 
Published: October 2023

Abstract
The chapter studies the intertwined topics of Empire,
migration and race in the Hansard Corpus (1803–2005). The British Empire
emerges as a prominent topic from the mid-nineteenth century, but rapidly
recedes into insignificance in the two decades following World War II.
Emigration dominates in the nineteenth century, whereas immigration takes
over in the twentieth century. References to race remain
frequent throughout, though in the context of two contrasting discourses.
Older uses show a broad range of adjective + noun combinations classifying
the ‘human race’ on the basis of geographical or physical characteristics
(e.g. English race, Indian race, white/black/brown/yellow
race) or evaluating groups within a colonialist ideology of
white supremacy (e.g. backward/advanced races). Recent and
contemporary use of the term is dominated by high-frequency nominal
compounds belonging to the vocabulary of identity politics (e.g.
race relations). The study situates itself at the
interface of historical linguistics, colonial history and cultural studies.
Methodologically, it raises the question of the future relationship between
corpus linguistics and the Digital Humanities.
From masters and servants to employers and employees
Authors: Vartiainen Turo , Palander-Collin Minna 
Published: October 2023

Abstract
This chapter explores how societal democratisation can be
studied by using linguistic big data. More specifically, we are interested
in establishing whether it is possible to see how the gradual
democratisation of society affected the employment relationship in
nineteenth-century Britain by examining changes in the frequency of
constructions where different referential terms for both employers and
employees were used in the British parliament. We pay particular attention
to the gradual waning of the master–servant institution, whose demise can be
directly linked to the increased independence of labourers from their
employers. We will also briefly explore how data anomalies or outliers can
potentially be used as a heuristic when identifying events of historical
interest and importance.
Surface functionalization of graphene-like boron arsenide monolayer: a first-principles study
Authors: Khanh Nguyen Duy , Ponce-Pérez R , Guerrero-Sanchez J , Hoat D M 
Published: October 2023

Abstract
In this work, the effects of hydrogen (H) and oxygen (O) adsorption on the electronic and magnetic properties of graphene-like boron arsenide (BAs) monolayer are investigated using first-principles calculations. Pristine monolayer is a non-magnetic two-dimensional (2D) material, exhibiting direct gap semiconductor character with band gap of 0.75 (1.18) eV as calculated by generalized gradient approximation with Perdew–Burke–Ernzerhof (HSE06) functional. Four high-symmetry adsorption sites are considered, including on-top of B atom (

T

B

), on-top of As atom (

T

A
s

), on-top of hollow site (

T

H

), and on-top of bridge site (

T

b
r
i
d
g
e

). Using the criterion of adsorption energy, it is found that

T

B

and

T

b
r
i
d
g
e

sites are favorable adsorption sites for H and O adatom, respectively. The analysis of electronic interactions indicate the charge transfer from host BAs monolayer to both adatoms. H adsorption conducts to the emergence of magnetic semiconductor nature in BAs monolayer with a total magnetic moment of 1.00

μ

B

. Herein, the magnetism is originated mainly from H adatom and its neighbor As atoms. In contrast, the non-magnetic nature of BAs monolayer is preserved upon absorbing O atoms. In this case, the energy gap exhibits a slight reduction of 4%. Further, the effects of adatom coverage are also analyzed. The presented results suggest an effective modification of ground state electronic properties, as well as induction of new feature-rich properties to make new multifunctional 2D materials from non-magnetic BAs monolayer.
Design and realization of scanning probe microscope based on a T-shaped high-aspect-ratio probe
Authors: Xu Rui , Liu Yi , Ren Chao , Zhang Yanhui , Wang Jianli 
Published: October 2023

Abstract
With the growing importance of three-dimensional (3D) nanomaterials and devices, the use of high-aspect-ratio (HAR) probes in atomic force microscopy (AFM) imaging enables full-profile topography characterization. However, HAR-AFM probes are difficult to manufacture due to the expensive materials and complex processes. Inspired by the Wollaston scanning probe, we successfully fabricated a T-shaped tungsten probe and installed in a home-made scanning probe microscope system. Compared with commercial AFM, the home-made platform utilizes a set of LabVIEW control programs based on field programmable gate array hardware feedback, which improves the scanning speed and makes the control program more flexible. The reliability of the system was verified by comparing with the scanning results of commercial AFM. The T-shaped probe exhibits better fidelity in HAR-hole imaging compared to AFM standard pyramidal probes. This approach will likely find a convenient and material-saving fabrication route, especially for custom functional nanoprobes.
Machining surface roughness detection by adaptive deep fusion capsule network with low illumination and noise robustness
Authors: Huang Zhiwen , Zhang Qiang , Shao Jiajie , Li Weidong , Zhu Jianmin , Fang Dianjun 
Published: October 2023

Abstract
Surface roughness measurement is of great importance for monitoring machining quality. To address the performance degradation of deep models caused by low illumination and ambient noise, this study proposes a non-contact surface roughness detection method based on an adaptive deep fusion capsule network (ADFCNet) model. Firstly, principal competent analysis-based color image enhancement is employed to augment initial surface images collected from normal illumination. Then, consisting of a deep multi-model fusion for high-level feature representation and a capsule classifier for roughness recognition, the ADFCNet model is designed to detect roughness grades by using workpiece surface images. The key hyperparameters of the model are automatically determined by a genetic algorithm. Finally, laboratory and factory experiments under low illumination are carried out to validate the effectiveness and superiority of the proposed method. Experimental results demonstrate that the proposed method has strong low-illumination and noise robustness and generalization capability, indicating a better application prospect in actual scenarios.
Novel measurement method for full-field bridge strain and displacement with limited long-gauge strain sensors
Authors: Zhang Qingqing , Li Ruixiao , Yuan Huijun 
Published: October 2023

Abstract
In efforts to resolve the limitations of incomplete bridge measurements in accurately identifying structural parameters, this study introduces a novel approach for precise measurement of full-field bridge strain and displacement using a limited number of long-gauge fibre Bragg grating strain sensors. This method consists of two algorithms: a double reconstruction algorithm for strain reconstruction and an improved conjugate beam algorithm (ICBA) for displacement identification. The dual reconstruction algorithm exploits proper orthogonal decomposition to establish a comprehensive mapping relationship between units, thereby achieving precise strain estimation. This intricate mapping process enables the algorithm to accurately compute strain responses. By leveraging the derived full-field strain data, the ICBA effectively captures complete displacement responses. The conventional sensor placement configuration monitors only a limited number of units. To enhance full-field measurement accuracy, this method categorizes unmonitored units into two levels based on sensor placement. The double reconstruction algorithm then estimates the strain response sequentially, contributing to enhanced precision. Numerical simulations validate the proposed method (PM), which is demonstrated to be efficient and robust under various vehicle loads, impact loads, and noised levels. A physical experiment further demonstrates the efficacy of the PM in practice. The results underscore the potency of the PM as powerful theoretical and practical approach for full-field strain and displacement measurement.