bluuebunny/crossref_metadata_2025_split huggingface dataset:
Retrospective Evaluation of the Prognostic Value of Histological Growth Pattern in Patients with Colorectal Peritoneal Metastases Undergoing Curative-Intent Cytoreductive Surgery
Authors: Kamdem Leonel , Asmar Antoine El , Demetter Pieter , Zana Ismael Coulibaly , Khaled Charif , Sclafani Francesco , Donckier Vincent , Vermeulen Peter , Liberale Gabriel 
Published: March 2024

Abstract
Background
Two distinct histological growth patterns (HGPs) were described in patients with peritoneal metastasis of colorectal cancer origin (PMCRC) with limited Peritoneal Cancer Index (PCI) ≤ 6 who did not receive neoadjuvant chemotherapy (NAC) and were treated with cytoreductive surgery (CRS) ± hyperthermic intraperitoneal chemotherapy (HIPEC): pushing HGP (P-HGP) and infiltrating HGP (I-HGP). Patients with dominant P-HGP (> 50%) had significantly better disease-free survival (DFS) and overall survival (OS).

Objective
We aimed to determine whether these previous observations regarding the prognostic value of HGP in patients with PMCRC with low PCI (≤ 6) are also valid in all operable patients, regardless of whether they received NAC or not and regardless of PCI score.

Methods
This was a retrospective study including 76 patients who underwent complete CRS ± HIPEC for PMCRC between July 2012 and March 2019. In each patient, up to five of the largest excised peritoneal nodules were analyzed for their tumor-to-peritoneum interface. Correlations between NAC, HGP, and prognosis were further explored.

Results
Thirty-seven patients (49%) had dominant P-HGP and 39 (51%) had dominant I-HGP. On univariate analysis, patients with P-HGP ≤ 50% had significantly lower OS than those with dominant P-HGP > 50% (39 versus 60 months; p = 0.014) confirmed on multivariate analysis (hazard ratio 2.4, 95% confidence interval 1.3–4.5; p = 0.006). There were no significant associations between NAC and type of HGP.

Conclusions
This study confirms the prognostic value and reproducibility of the two previously reported HGPs in PMCRC. Dominant P-HGP is associated with better DFS and OS in patients undergoing curative-intent CRS ± HIPEC compared with I-HGP, independently of the extent of peritoneal disease burden.
Mechanisms of Exercise Intolerance Across the Breast Cancer Continuum: A Pooled Analysis of Individual Patient Data
Authors: SCOTT JESSICA M. , LEE JASME , MICHALSKI MEGHAN G. , BATCH KAREN , SIMPSON AMBER L. , PEOPLES JACOB , LEE CATHERINE P. , HARRISON JENNA N. , YU ANTHONY F. , SASSO JOHN P. , DANG CHAU , MOSKOWITZ CHAYA S. , JONES LEE W. , EVES NEIL D. 
Published: March 2024

ABSTRACT

Purpose
The purpose of this study is to evaluate the prevalence of abnormal cardiopulmonary responses to exercise and pathophysiological mechanism(s) underpinning exercise intolerance across the continuum of breast cancer (BC) care from diagnosis to metastatic disease.

Methods
Individual participant data from four randomized trials spanning the BC continuum ([1] prechemotherapy [n = 146], [2] immediately postchemotherapy [n = 48], [3] survivorship [n = 138], and [4] metastatic [n = 47]) were pooled and compared with women at high-risk of BC (BC risk; n = 64). Identical treadmill-based peak cardiopulmonary exercise testing protocols evaluated exercise intolerance (peak oxygen consumption; V̇O2peak) and other resting, submaximal, and peak cardiopulmonary responses. The prevalence of 12 abnormal exercise responses was evaluated. Graphical plots of exercise responses were used to identify oxygen delivery and/or uptake mechanisms contributing to exercise intolerance. Unsupervised, hierarchical cluster analysis was conducted to explore exercise response phenogroups.

Results
Mean V̇O2peak was 2.78 ml O2
.kg−1·min−1 (95% confidence interval [CI], −3.94, −1.62 mL O2
.kg−1·min−1; P < 0.001) lower in the pooled BC cohort (52 ± 11 yr) than BC risk (55 ± 10 yr). Compared with BC risk, the pooled BC cohort had a 2.5-fold increased risk of any abnormal cardiopulmonary response (odds ratio, 2.5; 95% confidence interval, 1.2, 5.3; P = 0.014). Distinct exercise responses in BC reflected impaired oxygen delivery and uptake relative to control, although considerable inter-individual heterogeneity within cohorts was observed. In unsupervised, hierarchical cluster analysis, six phenogroups were identified with marked differences in cardiopulmonary response patterns and unique clinical characteristics.

Conclusions
Abnormal cardiopulmonary response to exercise is common in BC and is related to impairments in oxygen delivery and uptake. The identification of exercise response phenogroups could help improve cardiovascular risk stratification and guide investigation of targeted exercise interventions.
Principles of constructing geometric models of nanoclusters along a tetrahedral line
Authors: Kononov P. , Kononova I. , Moroz O. 
Published: March 2024

In connection with the development of new methods of nanotechnology, the article discusses the features of the morphology of nanoobjects that determine the relevance of the modernization of the training of undergraduates in the study of the disciplines «Nanomaterial Science», «Nanotechnology», «Descriptive geometry, engineering and computer graphics» and «Computer modeling».
Recently, the concept of «cluster» has become relevant due to the trend in the development of nanomaterials. Such nanomaterials obtained using unconventional growth mechanisms (including oriented attachment) are extremely interesting in the field of electronics, photonics and are of great interest for catalysis.
The article considers homoatomic clusters constructed from identical structural units. The desire to minimize energy is expressed in the tendency to the densest arrangement of structural units in the cluster. This allows us to assert that cluster structures with the maximum number of connections per structural unit will be the most stable; that clusters tend to a quasi-spherical shape (i.e., cluster sizes along three Cartesian axes should be close if possible, while dense structures are formed, the surface of which is minimal, and the number of connections is maximum); that clusters with higher symmetry are preferable (identical structural units composing the cluster framework should strive to stay in an indistinguishable state and position from each other).
The work applies the knowledge and skills laid down by students in the course of engineering and computer graphics to the study of the patterns of processes in the nanowire on the example of the principles of building nanoclusters along a tetrahedral line using three-dimensional modeling in the Autodesk 3ds Max environment. Visualization and visual representation of geometric images of nanoclusters will allow students to avoid a primitive geometric representation of nanoobjects and will serve as motivation to study other natural science subjects.
The content of the article is intended for specialists working in the fields of nanotechnology, solid-state electronics, micro- and nanoelectronics, micro- and nanosystem technology, thin-film sensors.
Shipping Emission Control Area Optimization Considering Carbon Emission Reduction
Authors: Zhuge Dan , Wang Shuaian , Zhen Lu 
Published: March 2024

Managing Shipping Emission Control Areas The design of emission control areas (ECAs) is crucial for reducing global shipping emissions and protecting the environment. In “Shipping Emission Control Area Optimization Considering Carbon Emission Reduction,” Zhuge, Wang, and Zhen focus on the ECA optimization problem for sailing legs with ECAs. First, a case with a no-ECA policy and a case with the current ECA policy are discussed. Then, two new voyage-dependent ECA policies with sulfur limits, designated sailing paths, and speed limits are proposed, under which Stackelberg game models with the ECA regulator and a shipping company are developed. The authors extend the research problem from a sailing leg to a shipping network to improve the practicality of the findings. They also develop a dynamic programming-based algorithm to optimize the ECA policies for the shipping network from the perspective of the ECA regulator. The effectiveness of the proposed policies in reducing social costs is validated by numerical experiments.
Scheme of carrier cooperation with coordinated scheduling for faster and lower-cost failure/disaster recovery
Authors: Xu Sugang , Sahoo Subhadeep , Ferdousi Sifat , Yoshikane Noboru , Shiraiwa Masaki , Hirota Yusuke , Tornatore Massimo , Tsuritani Takehiro , Awaji Yoshinari , Mukherjee Biswanath 
Published: March 2024

Large-scale carrier networks are fundamental ICT infrastructures that support future 5G/6G services, and their resilience is a primary societal concern. Differently from single-carrier networks (in which one carrier owns multiple networks), in multi-carrier network ecosystems (in which the networks in the fields are operated by different carriers), cooperation among such different carriers is crucial to achieve resilience against large-scale failures. However, such cooperation is challenging since carriers may not disclose confidential information, e.g., detailed resource availability. In this study, we investigate how to perform carrier cooperative recovery in the case of large-scale failures/disasters. We propose two-stage carrier-carrier cooperative recovery planning by incorporating a coordinated scheduling for faster recovery. Through numerical evaluation, we confirm the potential benefit of carrier cooperation in terms of both recovery time and recovery cost reduction.
Enriched photosensitizer for deep-seated-tumor photodynamic therapy
Authors: Shan Hongrui , Wang Xueqian , Wei Qiheng , Dai Hailang , Chen Xianfeng 
Published: March 2024

Photodynamic therapy (PDT) is an innovative approach that utilizes photochemical reactions for non-invasive disease treatment. Conventional PDT is limited by the low penetration depth of visible light required for activation. Herein, we employed upconversion nanoparticles (UCNPs) to extend the activation wavelength of photosensitizers into the infrared range, enabling a treatment depth of over 10 mm. Furthermore, we also used the abundant amino groups of branched polyethyleneimine (PEI) with spatial structure to enhance the loading capacity of protoporphyrin (PPIX), and we ultimately improved skin tumor clearance rates. Moreover, we achieved tumor-specific treatment by utilizing folic acid (FA) targeting and active enrichment of PPIX. According to cellular experimental results, we demonstrated the remarkable reactive oxygen species generation capability of the material and ultra-low dark toxicity. Additionally, we investigated the apoptosis mechanism and demonstrated that the synthesized nanoparticle stimulates the up-regulation of apoptosis-associated proteins Bax/Bcl-2 and Cyto c. During in vivo experiments involving intravenous injection in mouse tails, we investigated the anticancer efficacy of the nanoparticle, confirming its excellent PDT effects. This research provides a promising avenue for future non-invasive treatment of deep-seated tumors, offering a method for the treatment and management of specific cancers.
Demonstration of acousto-optical modulation based on a thin-film AlScN photonic platform
Authors: Bian Kewei , Li Zhenyu , Liu Yushuai , Xu Sumei , Zhao Xingyan , Qiu Yang , Dong Yuan , Zhong Qize , Wu Tao , Zheng Shaonan , Hu Ting 
Published: March 2024

Acousto-optic (AO) modulation technology holds significant promise for applications in microwave and optical signal processing. Thin-film scandium-doped aluminum nitride (AlScN), with excellent piezoelectric properties and a wide transparency window, is a promising candidate for achieving on-chip AO modulation with a fabrication process compatible with complementary metal-oxide-semiconductor (CMOS) technology. This study presents, to the best of our knowledge, the first demonstration of AO modulators with surface acoustic wave generation and photonic waveguides monolithically integrated on a 400-nm-thick film of AlScN on an insulator. The intramodal AO modulation is realized based on an AlScN straight waveguide, and the modulation efficiency is significantly enhanced by 12.3 dB through the extension of the AO interaction length and the utilization of bidirectional acoustic energy. The intermodal AO modulation and non-reciprocity are further demonstrated based on a multi-mode spiral waveguide, achieving a high non-reciprocal contrast (>10  dB) across an optical bandwidth of 0.48 nm. This research marks a significant stride forward, representing an advancement in the realization of microwave photonic filters, magnet-free isolators, and circulators based on the thin-film AlScN photonic platform.
Identifying prognostic factors for survival in intensive care unit patients with SIRS or sepsis by machine learning analysis on electronic health records
Authors: Mollura Maximiliano , Chicco Davide , Paglialonga Alessia , Barbieri Riccardo 
Published: March 2024

Background
Systemic inflammatory response syndrome (SIRS) and sepsis are the most common causes of in-hospital death. However, the characteristics associated with the improvement in the patient conditions during the ICU stay were not fully elucidated for each population as well as the possible differences between the two.

Goal
The aim of this study is to highlight the differences between the prognostic clinical features for the survival of patients diagnosed with SIRS and those of patients diagnosed with sepsis by using a multi-variable predictive modeling approach with a reduced set of easily available measurements collected at the admission to the intensive care unit (ICU).

Methods
Data were collected from 1,257 patients (816 non-sepsis SIRS and 441 sepsis) admitted to the ICU. We compared the performance of five machine learning models in predicting patient survival. Matthews correlation coefficient (MCC) was used to evaluate model performances and feature importance, and by applying Monte Carlo stratified Cross-Validation.

Results
Extreme Gradient Boosting (MCC = 0.489) and Logistic Regression (MCC = 0.533) achieved the highest results for SIRS and sepsis cohorts, respectively. In order of importance, APACHE II, mean platelet volume (MPV), eosinophil counts (EoC), and C-reactive protein (CRP) showed higher importance for predicting sepsis patient survival, whereas, SOFA, APACHE II, platelet counts (PLTC), and CRP obtained higher importance in the SIRS cohort.

Conclusion
By using complete blood count parameters as predictors of ICU patient survival, machine learning models can accurately predict the survival of SIRS and sepsis ICU patients. Interestingly, feature importance highlights the role of CRP and APACHE II in both SIRS and sepsis populations. In addition, MPV and EoC are shown to be important features for the sepsis population only, whereas SOFA and PLTC have higher importance for SIRS patients.
Hollywood’s Embassies: How Movie Theaters Projected American Power Around the World, Ross Melnick (2022)
Authors: Barney Clinton 
Published: March 2024

Review of: Hollywood’s Embassies: How Movie Theaters Projected American Power Around the World, Ross Melnick (2022)
New York: Columbia University Press, 528pp., ISBN: 9780231201513 (pbk), $35.00, ISBN: 9780231201506 (hbk), $145.00
Picnic at Hanging Rock (BFI Film Classics), Anna Backman Rogers (2022)
Authors: Sloan Kayla 
Published: March 2024

Review of: Picnic at Hanging Rock (BFI Film Classics), Anna Backman Rogers (2022)
London: Bloomsbury Publishing, 103pp., ISBN: 9781839023354 (pbk), $15.95, ISBN: 9781839023378 (epdf), $14.35, ISBN: 9781839023361 (epub), $14.35
On constant higher order mean curvature hypersurfaces in
H
n
×
R

${\mathbb{H}}^{n}{\times}\mathbb{R}$
Authors: Nelli Barbara , Pipoli Giuseppe , Russo Giovanni 
Published: March 2024

Abstract
We classify hypersurfaces with rotational symmetry and positive constant r-th mean curvature in

H

n

×
R

${\mathbb{H}}^{n}{\times}\mathbb{R}$

. Specific constant higher order mean curvature hypersurfaces invariant under hyperbolic translation are also treated. Some of these invariant hypersurfaces are employed as barriers to prove a Ros–Rosenberg type theorem in

H

n

×
R

${\mathbb{H}}^{n}{\times}\mathbb{R}$

: we show that compact connected hypersurfaces of constant r-th mean curvature embedded in

H

n

×

[

0
,
∞

)

${\mathbb{H}}^{n}{\times}\left[0,\infty \right)$

with boundary in the slice

H

n

×

{

0

}

${\mathbb{H}}^{n}{\times}\left\{0\right\}$

are topological disks under suitable assumptions.
A Survey of Universal Basic Income Experiments
Authors: Hochman Rachael , Larkin Charles , Corbet Shaen 
Published: March 2024

Abstract
Interest in universal basic income has risen recently as an alternative to existing exchequer-sourced social security methods, such as conditional cash transfers. This article presents a survey of multiple experiments investigating the impact of basic income cash transfers on recipients while presenting a meta-analysis of the results across nine categories. Many findings indicate successful outcomes across financial security, health, and educational dimensions. Children were amongst the strongest beneficiaries of the trials and observed a 4.5 % reduction in obesity, a 19.5 % increase in their normal weight-for-age, a 30 % increase in female secondary school attendance, and an increase in the educational attainment of one year in response to the cash transfers.
The ‘Still Not’ Present in Andi: identifying the grammaticalization source
Authors: Maisak Timur , Verhees Samira 
Published: March 2024

Abstract
Andi (East Caucasian) features a verb form that marks an event that is (still) not happening, contrary to the speaker’s expectation (i.e. ‘Still Not’ Present). This form is unusual for several reasons. First, forms of this kind are not typical for the language family. Second, while it conveys negative semantics, the form does not contain negation marking, even though segmentally it is rather heavy in comparison to other synthetic tenses. Third, to our knowledge grammatical ‘still not’ expressions are typologically uncommon. The paper describes the semantics and morphosyntactic properties of the ‘Still Not’ Present and suggests a plausible grammaticalization source by comparing dialects and closely related languages. We also try to match the data to typological categories like phasal polarity.
Neural network big data fusion in remote sensing image processing technology
Authors: Wu Xiaobo 
Published: March 2024

Abstract
Remote sensing (RS) image processing has made significant progress in the past few years, but it still faces some problems such as the difficulty in processing large-scale RS image data, difficulty in recognizing complex background, and low accuracy and efficiency of processing. In order to improve the existing problems in RS image processing, this study dealt with ConvNext-convolutional neural network (CNN) and big data (BD) in parallel. Moreover, it combined the existing RS image processing with the high dimensional analysis of data and other technologies. In this process, the parallel processing of large data and high-dimensional data analysis technology improves the difficulty and low efficiency of large-scale RS image data processing in the preprocessing stage. The ConvNext-CNN optimizes the two modules of feature extraction and object detection in RS image processing, which improves the difficult problem of complex background recognition and improves the accuracy of RS image processing. At the same time, the performance of RS image processing technology after neural networks (NNs) and BD fusion and traditional RS image processing technology in many aspects are analyzed by experiments. In this study, traditional RS image processing and RS image processing combined with NN and BD were used to process 2,328 sample datasets. The image processing accuracy and recall rate of traditional RS image processing technology were 81 and 82%, respectively, and the F1 score was about 0.81 (F1 value is the reconciled average of accuracy and recall, a metric that combines accuracy and recall to evaluate the quality of the results, a higher F1 value indicates a better overall performance of the retrieval system). The accuracy rate and recall rate of RS image processing technology, which integrates NN and BD, were 97 and 98%, respectively, and its F1 score was about 0.97. After analyzing the process of these experiments and the final output results, it can be determined that the RS image processing technology combined with NN and BD can improve the problems of large-scale data processing difficulty, recognition difficulty under complex background, low processing accuracy and efficiency. In this study, the RS image processing technology combined with NN and BD has stronger adaptability with the help of NN and BD technology, and can adjust parameters and can be applied in more tasks.
Meta-organizations for Sustainability Transformations: Navigating Tensions Between Imperatives of Transition and Meta-organizationality
Authors: Berkowitz Heloise , Bor Sanne 
Published: March 2024

Abstract
How do we change social orders to deliver a sustainable future? A growing literature in organization studies argues that meta-organizations are part of the answer. Meta-organizations have been shown to be well equipped for tackling grand challenges, yet paradoxically they also tend to resist change due to their inertia. In this paper, we move beyond the question of whether and how meta-organizations act as vectors of transition to address the question of how some of the defining organizational attributes of meta-organizations – which we call ‘meta-organizationality’ – create tensions for sustainability transitions. We argue that these tensions result from frictions between the imperatives of transitions, i.e. conditions for achieving broad socio-technical transformations for sustainability, and the imperatives of meta-organizations, i.e. the implications resulting specifically from their meta-organizationality. We unpack four tensions, which we frame as ‘multi-referentiality–directionality’, ‘layering–diffusion’, ‘dialectical actorhood–coordination’, and ‘multi-level decidedness–reflexivity’. We argue that transformative meta-organizations are those that successfully navigate these tensions to produce sociotechnical system changes. This work has several implications for organization studies, meta-organization studies and transition studies, and offers several avenues for research.
Semantic change and socio-semantic variation: the case of COVID-related neologisms on Reddit
Authors: Würschinger Quirin , McGillivray Barbara 
Published: March 2024

Abstract
COVID-19 has triggered innovations in science and society globally, leading to the emergence or establishment of formal neologisms such as infodemic and working from home (WFH). While previous work on COVID-related lexical innovation has focused on such formal neologisms, this paper uses data from Reddit to study semantic neologisms like lockdown and mask, which have changed in meaning due to the pandemic. First, we identify words that have undergone meaning changes since the start of the pandemic. Our approach, based on word embeddings, successfully detects a variety of COVID-related terms that dominate the resulting list of semantic neologisms. Next, we generate community-specific semantic representations for the communities r/Coronavirus and r/conspiracy, which are both highly engaged in COVID-related discourse. We analyse socio-semantic variation along two dimensions: an evaluative dimension, based on amelioration/pejorization, and the loyalty/betrayal dimension of Moral Foundations Theory. Our findings reveal that the detected semantic neologisms exhibit more negative and betrayal-related associations in r/conspiracy, a subreddit critical of COVID-related sociopolitical measures. Mapping the community-specific representations for the term vaccines on a shared semantic space confirms these differences and reveals more fine-grained denotational and connotational differences between the two communities.