bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-resolution deep learning characterizes tertiary lymphoid structures and their prognostic relevance in solid tumors
Authors: van Rijthoven Mart , Obahor Simon , Pagliarulo Fabio , van den Broek Maries , Schraml Peter , Moch Holger , van der Laak Jeroen , Ciompi Francesco , Silina Karina 
Published: January 2024

Abstract
Background
Tertiary lymphoid structures (TLSs) are dense accumulations of lymphocytes in inflamed peripheral tissues, including cancer, and are associated with improved survival and response to immunotherapy in various solid tumors. Histological TLS quantification has been proposed as a novel predictive and prognostic biomarker, but lack of standardized methods of TLS characterization hampers assessment of TLS densities across different patients, diseases, and clinical centers.

Methods
We introduce an approach based on HookNet-TLS, a multi-resolution deep learning model, for automated and unbiased TLS quantification and identification of germinal centers in routine hematoxylin and eosin stained digital pathology slides. We developed HookNet-TLS using n = 1019 manually annotated TCGA slides from clear cell renal cell carcinoma, muscle-invasive bladder cancer, and lung squamous cell carcinoma.

Results
Here we show that HookNet-TLS automates TLS quantification across multiple cancer types achieving human-level performance and demonstrates prognostic associations similar to visual assessment.

Conclusions
HookNet-TLS has the potential to be used as a tool for objective quantification of TLS in routine H&E digital pathology slides. We make HookNet-TLS publicly available to promote its use in research.
A high-resolution handheld millimeter-wave imaging system with phase error estimation and compensation
Authors: Li Yadong , Zhang Dongheng , Geng Ruixu , Lu Zhi , Wu Zhi , Hu Yang , Sun Qibin , Chen Yan 
Published: January 2024

AbstractDespite the enormous potential of millimeter-wave (mmWave) imaging, the high cost of large-scale antenna arrays or stringent prerequisites of the synthetic aperture radar (SAR) principle impedes its widespread application. Here, we report a portable, affordable, and high-resolution 3D mmWave imaging system by overcoming the destructive motion error of handheld SAR imaging. This is achieved by revealing two important phenomenons: spatial asymmetry of motion errors in different directions, and local similarity of phase errors exhibited by different targets, based on which we formulate the challenging phase error estimation problem as a tractable point spread function optimization problem. Experiments demonstrate that our approach can recover high-fidelity 3D mmWave images from severely distorted signals and augment the aperture size by over 50 times. Since our system does not rely on costly massive antennas or bulky motion controllers, it can be applied for diverse applications including security inspection, autonomous driving, and medical monitoring.
Chunk2vec: A novel resemblance detection scheme based on Sentence‐BERT for post‐deduplication delta compression in network transmission
Authors: Wang Chunzhi , Wang Keguan , Li Min , Wei Feifei , Xiong Neal 
Published: January 2024

AbstractDelta compression, as a complementary technique for data deduplication, has gained widespread attention in network storage systems. It can eliminate redundant data between non‐duplicate but similar chunks that cannot be identified by data deduplication. The network transmission overhead between servers and clients can be greatly reduced by using data deduplication and delta compression techniques. Resemblance detection is a technique that identifies similar chunks for post‐deduplication delta compression in network storage systems. The existing resemblance detection approaches fail to detect similar chunks with arbitrary similarity by setting a similarity threshold, which can be suboptimal. In this paper, the authors propose Chunk2vec, a resemblance detection scheme for delta compression that utilizes deep learning techniques and Approximate Nearest Neighbour Search technique to detect similar chunks with any given similarity range. Chunk2vec uses a deep neural network, Sentence‐BERT, to extract an approximate feature vector for each chunk while preserving its similarity with other chunks. The experimental results on five real‐world datasets indicate that Chunk2vec improves the accuracy of resemblance detection for delta compression and achieves higher compression ratio than the state‐of‐the‐art resemblance detection technique.
The effect of ride‐hailing services on public transit usage in China's small‐ and medium‐sized cities: A synthetic control method analysis
Authors: Zhong Jun , Zhou Huan , Lin Yan , Ren Fangxiao 
Published: January 2024

AbstractWith the recent advances in smartphones and Internet technologies, ride‐hailing services (such as Uber and Didi) have emerged and changed the travel modes that residents use. An important issue within this area is how ride‐hailing services influence public transit usage. The majority of the research regarding this topic has focused on situations in large cities and has not reached a unanimous consensus among scholars. In particular, the role of ride‐hailing services in small‐ and medium‐sized cities may be different from the role of these services in large cities. In this paper, we choose 22 small‐ and medium‐sized cities in China as samples with a research time window spanning from 2011 to 2016 to examine the impact of the introduction of ride‐hailing services on public transit usage. The results of the synthetic control method, as well as other robustness checks, show that (1) the introduction of ride‐hailing services to China's small‐ and medium‐sized cities significantly increases public transit usage; (2) the effect of the introduction of ride‐hailing services on public transit usage in small‐ and medium‐sized cities is “proactive” for approximately 1 year; and (3) the positive effect of ride‐hailing services on public transit usage in small‐ and medium‐sized cities weakens over time. This study enriches the literature on the impact of ride‐hailing services on the urban transportation system by specifically taking small‐ and medium‐sized cities as the research scope. The above findings are of great significance to the urban transport department's formulation of ride‐hailing policies and the operation layout of public transit operators in small‐ and medium‐sized cities.
Retraction Note: Islamic Psychology: Historical Notes from Herbert George Wells (1866–1946)
Authors: Çaksen Hüseyin , Çaksen Feyza 
Published: January 2024

RetractionThe above article published in Journal of Pediatric Neurology on November 16, 2022 (DOI: 10.1055/s-0042-1758473), has been retracted as it is lacking scientific base.
Retraction Note: The Importance of Religion, Spirituality, and Spiritual Care in Patients with Multiple Sclerosis
Authors: Çaksen Hüseyin 
Published: January 2024

RetractionThe above article published in Journal of Pediatric Neurology on May 22, 2023 (DOI: 10.1055/s-0043-1768656), has been retracted as it is lacking scientific base.
Retraction Note: Hijab Protects Adolescent Girls and Women from Sexual Harassment
Authors: Çaksen Hüseyin , Çaksen Feyza 
Published: January 2024

RetractionThe above article published in Journal of Pediatric Neurology on May 26, 2023 (DOI: 10.1055/s-0043-1769481), has been retracted as it is lacking scientific base.
Retraction Note: Parents' Supernatural Beliefs on Causes of Birth Defects: A Review from Islamic Perspective
Authors: Çaksen Hüseyin 
Published: January 2024

RetractionThe above article published in Journal of Pediatric Genetics in Volume 12, Number 02 (DOI: 10.1055/s-0043-1761268), has been retracted as it is lacking scientific base.
Retraction Note: Neonatal Hypoglycemia: Oral Dextrose Gel and Tahneek Practice
Authors: Çaksen Hüseyin 
Published: January 2024

RetractionThe above article published in Journal of Pediatric Epilepsy in Volume 12, Number 02 (DOI: 10.1055/s-0042-1760192), has been retracted as it is lacking scientific base.
Regional culture and corporate finance: a literature review
Authors: Mao Lina , Lu Chongluan , Sun Guangfan , Zhang Chunyan , Guo Changwei 
Published: January 2024

AbstractAccording to the theory of institutional economics, local culture has a profound impact on individuals and groups. It fundamentally affects individual preferences and attitudes, guiding decision-making behaviors to develop homogeneous regional cultural characteristics. This, in turn, reflects in the business decisions of companies, leading to imbalances in the development of different regional enterprises. This article reviews the relevant literature on regional culture and corporate finance, aiming to investigate how regional culture plays a significant role in corporate governance and corporate performance. It explores the limitations of existing research and further analyzes issues related to the quantification of culture, its mechanism of influence, and endogeneity in regression models.
A look at the Spanish film industry and its level of persistence
Authors: Gil-Ruiz Francisco José , Gil-Alana Luis Alberiko , Hernández-Herrera María , Ayestarán-Crespo Raquel 
Published: January 2024

AbstractThis paper explores the Spanish film industry to analyze the evolution of Spanish movie theater revenues up to December 2021 using both aggregated and disaggregated data by area of origin. Based on fractional integration methods, the results showed a change in persistence in the series as a result of the Covid-19 pandemic. Lower degrees of persistence are observed in the aggregated data and in the series related with the US, implying shorter effects of shocks in these cases. Nevertheless, a substantial increase in persistence after the Covid-19 is observed in all series.
Ultra-broadband sound absorption in a compact multi-chamber micro-perforated panel absorber with varying depths
Authors: Wang Jiayu , Bennett Gareth J. 
Published: January 2024

This study presents an enhanced multi-chamber micro-perforated panel absorber (MC-MPPA) with varying sub-chamber depths, offering ultra-broadband low-frequency sound absorption. Traditional micro-perforated panel absorbers are constrained by a limited bandwidth, necessitating impossibly small perforations for optimal low-frequency absorption. Our innovative design addresses these constraints with a lightweight, compact panel structure that uses varied chamber depths and unique porosities. Using the two-point impedance method from graph theory, an MC-MPPA was modeled and optimized. Notably, our MC-MPPA test pieces achieved impressive sound absorption coefficients experimentally of over 0.8 in the whole frequency ranges of [397–1000] and [698–1895] Hz. The absorber’s thickness is a mere 47 mm, equivalent to 1/18.2 and 1/10.5 of the sound wavelength at the minimum operational frequency, respectively. Theoretically, with a maximum sub-chamber depth of just 20 mm, average absorption coefficient values of 0.6780 and 0.6483 were observed in [200–3000] and [200–4000] Hz ranges, respectively. Our optimization algorithm permits the definition of practical geometric parameters, promising substantial industrial benefits. The results have been validated theoretically, numerically, and experimentally.
Intelligent intrusion detection for optical fiber perimeter security system based on an improved high efficiency feature extraction technique
Authors: Sun Zhenshi , Guo Zheng 
Published: January 2024

Abstract
The automated analysis of optical fiber vibration sensing data has been highly demanded in engineering applications. Therefore, intrusion analysis, which aims at detecting, recognizing, and classifying intrusions, holds great importance for optical fiber vibration sensing. In this work, an intelligent intrusion detection scheme employing an improved high-efficiency feature extraction technique and utilizing a dual Mach–Zehnder interferometer (DMZI)-based optical fiber perimeter security system is proposed. So, the DMZI-based perimeter security system in practical settings can be successfully established. Specifically, time-frequency feature vectors with nine features are firstly constructed using a maximal overlap discrete wavelet transformation approach and a zero crossing rate method. Then, the feature vectors are classified into corresponding categories using a radial basis function neural network. The effectiveness of the proposed scheme has been validated using six types of human intrusions, such as knocking, climbing, waggling, cutting, crashing and kicking the fence. The results show that the given intrusions can be accurately and rapidly recognized by the proposed scheme. The average recognition rate of 95.0% is achieved, and the average processing time for each sample data is only 0.033 s, which is significantly lower than the sampling interval (0.3 s) in our experiment. It is believed that the proposed scheme holds promising potential in the field of optical fiber perimeter security systems.
Multiple factors of regulation for transient negative capacitance in PbZr(1−x)Ti(x)O3 ferroelectric thin films
Authors: Cao Hai-Ze , Xiao Yong-Guang , Ma Ning-Jie , Yang Li-Sha , Jiang Yong , Xiong Ke , Li Gang , Ouyang Jun , Tang Ming-Hua 
Published: January 2024

Abstract
The negative capacitance (NC) of ferroelectric (FE) materials can effectively break the ‘Boltzmann tyranny’ and drive the continuation scaling of Moore’s law. In this work, to find a novel way for amplifying the transient NC, a series network of external resistors and PbZr(1−x)Ti(x)O3 (PZT) FE capacitors was constructed. Uniform modeling and simulation were performed using Kirchhoff’s current law, electrostatics equations, and Landau–Khalatnikov equations. The derived results revealed that the mismatch of switching rate between free charge and polarization during FE domain switching is responsible for the transient NC generation. Some interesting results were obtained for the regulation of the transient NC by various factors such as the strain between the FE film and substrate, the viscosity coefficient, the ratio of Ti components, the external resistance magnitude, and the operating temperature. This work provides considerable insight into the control of FE transient NC, and offers guidance for obtaining larger and longer transient NC in the widely used PZT thin films.
Black hole evaporation and its remnants with the generalized uncertainty principle including a linear term
Authors: Yu Bo , Long Zheng-wen 
Published: January 2024

Abstract
In recent years, researchers have investigated the evaporation of Schwarzschild black holes using various forms of the generalized uncertainty principle (GUP), metric quantum correction, and non-commutative geometry, respectively. However, there are differences between the GUP correction and the other two methods in terms of describing the later stages of black hole evaporation. Furthermore, some studies argue that the GUP with a negative parameter cannot effectively correct black hole evaporation, while others contend that the positivity or negativity of the GUP parameters should not affect the correction results. Taking the above into consideration, we reconsider black hole evaporation with the generalized uncertainty principle including a linear term (LGUP), and examine the case of negative parameters. The results indicate that the evaporation behavior of both Schwarzschild black holes and Reissner–Nordström black holes, under LGUP correction, is consistent with the results of metric quantum correction and non-commutative geometry. Additionally, the negative parameter LGUP can also effectively correct for black hole evaporation.
Online misinformation during extreme weather emergencies: short-term information hazard or long-term influence on climate change perceptions?
Authors: Daume Stefan 
Published: January 2024

Abstract
Extreme weather events linked to climate change are becoming more frequent. The online public discourse on and during these events, especially on social media, attracts misinformation that can undermine short-term emergency responses, but can also be aimed at influencing long-term public perceptions of climate change. This contribution reviews existing research on online misinformation with the aim to understand the types, origins, and potential impacts of misinformation during extreme weather events like storms, floods, and wildfires. The screening of 289 publications reveals that there is scarce body of only 13 studies addressing this question. Relevant studies exploring online misinformation during extreme weather events rarely document misinformation immediately relevant for emergency responses and only recently link this to the discussion about climate change. The reviewed research provides however insights to derive a framework that can guide future research into this topic. Specifically, that misinformation in social media during environmental emergencies 1) cuts across domains and merges different areas of public interest, 2) cuts across temporal and geographical scales, and 3) needs to be studied as part of an interconnected online media landscape. Misinformation differs between emergency event types, can undermine the debate about climate change in diverse ways, appeal to completely different audiences and thus will likely require different responses and countermeasures. Structured research with comparable methodologies is urgently needed.
Teaching at the intersection of science and society: An activity on healthcare disparities
Authors: Adams Paula E , Granados Enya , Beatty Abby E , Ballen Cissy J 
Published: January 2024

Abstract
Understanding the relationship between science and society is an objective of science education and is included as a core competency in the AAAS Vision and Change guidelines for biology education. However, traditional undergraduate biology instruction emphasizes scientific practice and generally avoids potentially controversial issues at the intersection of biology and society. By including these topics in biology coursework, instructors can challenge damaging ideologies and systemic inequalities that have influenced science, such as biological essentialism and health disparities. Specifically, an ideologically aware curriculum highlights how ideologies and paradigms shape our biological knowledge base and the application of that knowledge. Ideologically aware lessons emphasize the relationship between science and society with an aim to create more transparent, scientifically accurate, and inclusive postsecondary biology classrooms. Here we expand upon our ideologically aware curriculum with a new activity that challenges undergraduate biology students to consider the impacts of healthcare disparities. This lesson allows instructors to directly address systemic inequalities and allows students to connect biomedical sciences to real-world issues. Implementing an ideologically aware curriculum enables students to challenge prevailing worldviews and better address societal problems that lead to exclusion and oppression.
TRPM4 and PLCβ3 contribute to normal behavioral responses to an array of sweeteners and carbohydrates but PLCβ3 is not needed for taste-driven licking for glucose
Authors: Ascencio Gutierrez Verenice , Martin Laura E , Simental-Ramos Aracely , James Kimberly F , Medler Kathryn F , Schier Lindsey A , Torregrossa Ann-Marie 
Published: January 2024

Abstract
The peripheral taste system is more complex than previously thought. The novel taste-signaling proteins TRPM4 and PLCβ3 appear to function in normal taste responding as part of Type II taste cell signaling or as part of a broadly responsive (BR) taste cell that can respond to some or all classes of tastants. This work begins to disentangle the roles of intracellular components found in Type II taste cells (TRPM5, TRPM4, and IP3R3) or the BR taste cells (PLCβ3 and TRPM4) in driving behavioral responses to various saccharides and other sweeteners in brief-access taste tests. We found that TRPM4, TRPM5, TRPM4/5, and IP3R3 knockout (KO) mice show blunted or abolished responding to all stimuli compared with wild-type. IP3R3 KO mice did, however, lick more for glucose than fructose following extensive experience with the 2 sugars. PLCβ3 KO mice were largely unresponsive to all stimuli except they showed normal concentration-dependent responding to glucose. The results show that key intracellular signaling proteins associated with Type II and BR taste cells are mutually required for taste-driven responses to a wide range of sweet and carbohydrate stimuli, except glucose. This confirms and extends a previous finding demonstrating that Type II and BR cells are both necessary for taste-driven licking to sucrose. Glucose appears to engage unique intracellular taste-signaling mechanisms, which remain to be fully elucidated.
In vitro investigation of axial mechanical support devices implanted in the novel convergent cavopulmonary connection Fontan
Authors: Cleveland Vincent , Contento Jacqueline , Mass Paige , Hardikar Priyanka , Wu Qiyuan , Liu Xiaolong , Aslan Seda , Loke Yue-Hin , Krieger Axel , Lunos Scott , Olivieri Laura , Sinha Pranava 
Published: January 2024

Abstract

OBJECTIVES
The 2 opposing inflows and 2 outflows in a total cavopulmonary connection make mechanical circulatory support (MCS) extremely challenging. We have previously reported a novel convergent cavopulmonary connection (CCPC) Fontan design that improves baseline characteristics and provides a single inflow and outflow, thus simplifying MCS. This study aims to assess the feasibility of MCS of this novel configuration using axial flow pumps in an in vitro benchtop model.

METHODS
Three-dimensional segmentations of 12 single-ventricle patients (body surface area 0.5–1.75 m2) were generated from cardiovascular magnetic resonance images. The CCPC models were designed by connecting the inferior vena cava and superior vena cava to a shared conduit ascending to the pulmonary arteries, optimized in silico. The 12 total cavopulmonary connection and their corresponding CCPC models underwent in vitro benchtop characterization. Two MCS devices were used, the Impella RP® and the PediPump.

RESULTS
MCS successfully and symmetrically reduced the pressure in both vena cavae by &gt;20 mmHg. The devices improved the hepatic flow distribution balance of all CCPC models (Impella RP®P = 0.045, PediPump P = 0.055).

CONCLUSIONS
The CCPC Fontan design provides a feasible MCS solution for a failing Fontan by balancing hepatic flow distribution and symmetrically decompressing the central venous pressure. Cardiac index may also improve with MCS. Additional studies are needed to evaluate this concept for managing Fontan failure.