bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spirals of Riemann’s Zeta-Function — Curvature, Denseness and Universality
Authors: SOURMELIDIS ATHANASIOS , STEUDING JÖRN 
Published: October 2023

AbstractThis paper deals with applications of Voronin’s universality theorem for the Riemann zeta-function
$\zeta$
. Among other results we prove that every plane smooth curve appears up to a small error in the curve generated by the values
$\zeta(\sigma+it)$
for real t where
$\sigma\in(1/2,1)$
is fixed. In this sense, the values of the zeta-function on any such vertical line provides an atlas for plane curves. In the same framework, we study the curvature of curves generated from
$\zeta(\sigma+it)$
when
$\sigma>1/2$
and we show that there is a connection with the zeros of
$\zeta'(\sigma+it)$
. Moreover, we clarify under which conditions the real and the imaginary part of the zeta-function are jointly universal.
Increasing Fire Weather Potential Over Northeast China Linked to Declining Bering Sea Ice
Authors: Liu Guanyu , Li Jing , Ying Tong , Su Hongxuan , Huang Xin , Yu Yan 
Published: October 2023

AbstractNortheast China (NEC) is one of the most severely impacted regions by fire and biomass burning in the country. Notably, fires in this area have exhibited an increasing trend over the past decade, contrasting with the extensive pollution reduction observed in other parts of China. In this study, we combine observational data analysis and climate model simulations to demonstrate that the escalation of spring fire activities in NEC is likely induced by a decline in Bering Sea ice concentration during preceding months. This Arctic‐driven teleconnection contributes to increased temperatures and decreased precipitation in NEC through reduced vertical wind shear, anomalously northerly wind transport, and the formation of a high‐pressure center with descending airflow. These changes are conducive to fire ignition and expansion. Furthermore, this linkage may be amplified in future warmer scenarios. This mechanism holds significant implications for predicting decadal fire activity and furthering our understanding of global environmental projections.
Dynamic Processes Associated With Prominent Ionospheric Variations in a Narrow Longitudinal Zone Near the EIA Crest Region as Revealed by ICON Satellite and Ground Beidou Receiver Observations Over South Asia
Authors: Huang Fuqing , Lei Jiuhou , Luan Xiaoli , Li Guozhu , Wang Yihan , Zhu Yajun , Chen Junjie , Owolabi Charles , Dou Xiankang 
Published: October 2023

AbstractNeutral winds and plasma motions from the Ionospheric Connection Explorer mission were used to investigate dynamic processes associated with large regional total electron content (TEC) differences in a narrow longitudinal zone exceeding ∼45 TECU obtained from dense Beidou geostationary receivers at low latitudes over South Asia. The TEC east‒west asymmetry was defined to quantify this difference, which exceeded ∼5 TECU per 1° longitude distance and occurred around the equatorial ionization anomaly (EIA) crest on 31 March 2021 under geomagnetically quiescent conditions. Moreover, the magnetic meridional ion velocity exhibited a large longitude difference around the EIA crest during periods with strong ionospheric east‒west asymmetry. Furthermore, the longitude difference variation was consistent with the TEC east‒west asymmetry variation during 11–21 March 2020 and 27 March–4 April 2021. No significant correlations between TEC east‒west asymmetry and longitude differences under conditions with neutral winds and magnetic zonal ion drifts were observed in either case. The different vertical plasma drifts could contribute to ionospheric changes with a zonal range of a few hundred kilometers.
Non-nutritive sweetened beverages versus water after a 52-week weight management programme: a randomised controlled trial
Authors: Harrold Joanne A. , Hill Scott , Radu Cristina , Thomas Paul , Thorp Paula , Hardman Charlotte A. , Christiansen Paul , Halford Jason C. G. 
Published: October 2023

Abstract
Background/objective
Sugar-sweetened beverages are a substantial source of dietary sugar that can contribute to weight gain and the risk of type 2 diabetes. Dietary guidelines recommend non-nutritive sweetened (NNS) beverages to reduce sugar consumption, however, there is a need for long-term randomised controlled trials on their use. We aimed to compare the effects of NNS beverages and water on body weight during weight loss and maintenance in a behavioural weight management programme.

Methods
In this parallel-group, open-label, controlled equivalence trial, adults with a BMI of 27–35 kg/m2 who regularly consumed cold beverages were randomised 1:1 to water or NNS beverages. Participants underwent a group behavioural weight management programme comprising weekly (during the 12-week weight-loss phase) then monthly (during the 40-week weight-maintenance phase) meetings. The primary endpoint was weight change at week 52 (equivalence: two-sided P > 0.05). Secondary endpoints included changes in anthropometrics, cardiometabolic risk factors, appetite and activity levels.

Results
Of 493 participants randomised (water: n = 246; NNS beverages: n = 247), 24.1% were NNS-naïve. At week 52, water and NNS beverages were non-equivalent, with significantly greater weight loss in the NNS beverages group. Participants consuming water maintained a weight loss of 6.1 kg over 52 weeks versus 7.5 kg with NNS beverages (difference [90% CI]: 1.4 kg [–2.6, –0.2]; p < 0.05).

Conclusions
During a 52-week behavioural weight management programme, water and NNS beverages were non-equivalent, with weight loss maintained to a statistically greater extent with NNS beverages compared with water. However, this difference was not clinically significant.

Clinical trial registration
This trial is registered with ClinicalTrials.gov: NCT02591134
Current research status of tumor cell biomarker detection
Authors: Jiang Liying , Lin Xinyi , Chen Fenghua , Qin Xiaoyun , Yan Yanxia , Ren Linjiao , Yu Hongyu , Chang Lingqian , Wang Yang 
Published: October 2023

AbstractWith the annual increases in the morbidity and mortality rates of tumors, the use of biomarkers for early diagnosis and real-time monitoring of tumor cells is of great importance. Biomarkers used for tumor cell detection in body fluids include circulating tumor cells, nucleic acids, protein markers, and extracellular vesicles. Among them, circulating tumor cells, circulating tumor DNA, and exosomes have high potential for the prediction, diagnosis, and prognosis of tumor diseases due to the large amount of valuable information on tumor characteristics and evolution; in addition, in situ monitoring of telomerase and miRNA in living cells has been the topic of extensive research to understand tumor development in real time. Various techniques, such as enzyme-linked immunosorbent assays, immunoblotting, and mass spectrometry, have been widely used for the detection of these markers. Among them, the detection of tumor cell markers in body fluids based on electrochemical biosensors and fluorescence signal analysis is highly preferred because of its high sensitivity, rapid detection and portable operation. Herein, we summarize recent research progress in the detection of tumor cell biomarkers in body fluids using electrochemical and fluorescence biosensors, outline the current research status of in situ fluorescence monitoring and the analysis of tumor markers in living cells, and discuss the technical challenges for their practical clinical application to provide a reference for the development of new tumor marker detection methods.
Astrocytic β-catenin signaling via TCF7L2 regulates synapse development and social behavior
Authors: Szewczyk Lukasz Mateusz , Lipiec Marcin Andrzej , Liszewska Ewa , Meyza Ksenia , Urban-Ciecko Joanna , Kondrakiewicz Ludwika , Goncerzewicz Anna , Rafalko Kamil , Krawczyk Tomasz Grzegorz , Bogaj Karolina , Vainchtein Ilia Davidovich , Nakao-Inoue Hiromi , Puscian Alicja , Knapska Ewelina , Sanders Stephan J. , Jan Nowakowski Tomasz , Molofsky Anna Victoria , Wisniewska Marta Barbara 
Published: October 2023

AbstractThe Wnt/β-catenin pathway contains multiple high-confidence risk genes that are linked to neurodevelopmental disorders, including autism spectrum disorder. However, its ubiquitous roles across brain cell types and developmental stages have made it challenging to define its impact on neural circuit development and behavior. Here, we show that TCF7L2, which is a key transcriptional effector of the Wnt/β-catenin pathway, plays a cell-autonomous role in postnatal astrocyte maturation and impacts adult social behavior. TCF7L2 was the dominant Wnt effector that was expressed in both mouse and human astrocytes, with a peak during astrocyte maturation. The conditional knockout of Tcf7l2 in postnatal astrocytes led to an enlargement of astrocytes with defective tiling and gap junction coupling. These mice also exhibited an increase in the number of cortical excitatory and inhibitory synapses and a marked increase in social interaction by adulthood. These data reveal an astrocytic role for developmental Wnt/β-catenin signaling in restricting excitatory synapse numbers and regulating adult social behavior.
Spatial heterogeneity of bone marrow endothelial cells unveils a distinct subtype in the epiphysis
Authors: Iga Takahito , Kobayashi Hiroshi , Kusumoto Dai , Sanosaka Tsukasa , Fujita Nobuyuki , Tai-Nagara Ikue , Ando Tomofumi , Takahashi Tomoko , Matsuo Koichi , Hozumi Katsuto , Ito Kosei , Ema Masatsugu , Miyamoto Takeshi , Matsumoto Morio , Nakamura Masaya , Okano Hideyuki , Shibata Shinsuke , Kohyama Jun , Kim Kevin K. , Takubo Keiyo , Kubota Yoshiaki 
Published: October 2023

AbstractBone marrow endothelial cells (BMECs) play a key role in bone formation and haematopoiesis. Although recent studies uncovered the cellular taxonomy of stromal compartments in the bone marrow (BM), the complexity of BMECs is not fully characterized. In the present study, using single-cell RNA sequencing, we defined a spatial heterogeneity of BMECs and identified a capillary subtype, termed type S (secondary ossification) endothelial cells (ECs), exclusively existing in the epiphysis. Type S ECs possessed unique phenotypic characteristics in terms of structure, plasticity and gene expression profiles. Genetic experiments showed that type S ECs atypically contributed to the acquisition of bone strength by secreting type I collagen, the most abundant bone matrix component. Moreover, these cells formed a distinct reservoir for haematopoietic stem cells. These findings provide the landscape for the cellular architecture in the BM vasculature and underscore the importance of epiphyseal ECs during bone and haematopoietic development.
Development of a mobile-based intelligent module for identification and tracking of household appliances
Authors: Kaplun Dmitrii , Shpakovskaya Irina , Sinitca Aleksandr , Efimenko George , Alqahtani Malak S. , Ghoniem Rania M. , Abbas Mohamed , Soufiene Ben Othman , Romanov Sergey 
Published: October 2023

AbstractEvery year manufacturers of household appliances improve their devices, trying to make everyday life easier for users. New smart devices have many useful features, but not all users can easily cope with the complexity of the devices. One of the main tasks of household appliance manufacturers is to ensure the convenience of using appliances, taking into account the increasing complexity. Therefore, any manufacturer supplies equipment with a short but useful instruction manual. Practice shows that no printed user manual can compare with a demonstration of the device operation by a professional consultant. Instructions for home appliances using augmented reality technology will allow users to get the necessary detailed information about the device in a short period of time. As part of this work, the task of developing an artificial intelligence-based module is being solved. This module consists of developed classification, matching, and tracking submodules that can provide simple and fast visual instructions to users of household appliances in real time. The identification of household appliances is performed with more than 0.9 accuracy, and the tracking inside an unidentified object using the camera of a mobile device is processed with the success score of about 0.68 and frames per second (FPS) about 7. Mobile applications based on the proposed intelligent modules for Android and iOS were developed.
Noninvasive radiomic analysis of enhanced CT predicts CTLA4 expression and prognosis in head and neck squamous cell carcinoma
Authors: Zhu Yeping , Wu Mianhua 
Published: October 2023

AbstractDeveloping a radiomic model to predict CTLA4 expression levels and assessing its prognostic accuracy for patients. Medical imaging data were sourced from the TCIA database, while transcriptome sequencing data were derived from the TCGA database. We utilized a linear kernel SVM algorithm to develop a radiomic model for predicting CTLA4 gene expression. We then assessed the model’s clinical relevance using survival and Cox regression analyses. Performance evaluations of the model were illustrated through ROC, PR, calibration, and decision curves. (1) Bioinformatics analysis: Kaplan–Meier curves indicated that increased CTLA4 expression correlates with enhanced overall survival (OS) (p < 0.001). Both univariate and multivariate analyses revealed that high CTLA4 expression served as a protective factor for OS (HR = 0.562, 95% CI 0.427–0.741, p < 0.001). (2) Radiomics evaluation: the ROC curve demonstrated that the AUC for the SVM radiomics model was 0.766 in the training set and 0.742 in the validation set. The calibration curve affirmed that the model's prediction probability for high gene expression aligns with the actual outcomes. Furthermore, decision curve analysis (DCA) indicated that our model boasts robust clinical applicability. CTLA4 expression level serves as an independent prognostic factor for HNSCCs. Using enhanced CT images, the SVM radiomic model effectively predicts CTLA4 expression levels. As a result, this model offers strong prognostic insights for HNSCCs, guiding precise diagnosis, treatment, and assisting in clinical decision-making.
Effects of individual differences in text exposure on sentence comprehension
Authors: Stoops Anastasia , Montag Jessica L. 
Published: October 2023

AbstractLinguistic experience plays a clear role in accounting for variability in sentence comprehension behavior across individuals and across sentence types. We aimed to understand how individual differences in reading experience predict reading behavior. Corpus analyses revealed the frequencies with which our experimental items appeared in written and spoken language. We hypothesized that reading experience should affect sentence comprehension most substantially for sentence types that individuals primarily encounter through written language. Readers with more text exposure were faster and more accurate readers overall, but they read sentence types biased to written language particularly faster than did readers with less text exposure. We see clear effects of text exposure on sentence comprehension in ways that allow explicit links between written and spoken corpus statistics and behavior. We discuss theoretical implications of effects of text exposure for experience-based approaches to sentence processing.
An experimental and computational study of graphene oxide functionalized with tris(hydroxymethyl)aminomethane as an electrode material for supercapacitors
Authors: Mohammadi Samira , Mousavi-Khoshdel S. Morteza 
Published: October 2023

AbstractIn this research, graphene oxide (GO) functionalized with tris(hydroxymethyl)aminomethane (T) was synthesized with a simple one-pot method, and applied as an electrode material for supercapacitors. Electrochemical measurements on the synthesized tris(hydroxymethyl)aminomethane-functionalized graphene oxide (GO@T) indicated a specific capacitance of 549.8 F g− 1 at a specific current of 2.5 A g− 1 and a specific capacitance of 358 F g−1 at a specific current of 7 A g− 1 in the potential range of − 0.5–0.5 V versus Ag/AgCl. It also showed a high cyclic stability. According to the results, 80 and 68% of the initial capacitance was retained after 5500 and 9300 cycles, respectively. Density functional theory calculations were used to investigate the quantum capacitance, free energy change during functionalization reaction, and the layer distance of GO and GO@T.
Phenotypic and molecular characterization of novel pulmonary adenocarcinoma cell lines established from a dog
Authors: Kobayashi Kosuke , Takemura Reika Deja , Miyamae Jiro , Mitsui Ikki , Murakami Kohei , Kutara Kenji , Saeki Kohei , Kanda Teppei , Okamura Yasuhiko , Sugiyama Akihiko 
Published: October 2023

AbstractCanine pulmonary adenocarcinoma (PAC) resembles human lung tumors in never-smokers, but it is rarer than human pulmonary adenocarcinoma. Therefore, research on canine PAC is challenging. In the present study, we successfully established various novel canine PAC cell lines from a single lesion in a dog, including two parent cell lines and fourteen cloned cell lines, and characterized their cellular properties in vitro. Several of these cell lines showed epithelial–mesenchymal transition (EMT)-like and/or cancer stem cell (CSCs)-like phenotypes. We additionally assessed the sensitivity of the cells to vinorelbine in vitro. Three clonal lines, two of which showed EMT- and CSC-like phenotypes, were resistant to vinorelbine. Furthermore, we evaluated the expression and activation status of EGFR, HER2, and Ras signaling factors. The findings indicated that the cell lines we established preserved the expression and activation of these factors to varying extents. These novel canine PAC cell lines can be utilized in future research for understanding the pathogenesis and development of treatments for canine PAC.
Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT
Authors: Hagendorff Thilo , Fabi Sarah , Kosinski Michal 
Published: October 2023

AbstractWe design a battery of semantic illusions and cognitive reflection tests, aimed to elicit intuitive yet erroneous responses. We administer these tasks, traditionally used to study reasoning and decision-making in humans, to OpenAI’s generative pre-trained transformer model family. The results show that as the models expand in size and linguistic proficiency they increasingly display human-like intuitive system 1 thinking and associated cognitive errors. This pattern shifts notably with the introduction of ChatGPT models, which tend to respond correctly, avoiding the traps embedded in the tasks. Both ChatGPT-3.5 and 4 utilize the input–output context window to engage in chain-of-thought reasoning, reminiscent of how people use notepads to support their system 2 thinking. Yet, they remain accurate even when prevented from engaging in chain-of-thought reasoning, indicating that their system-1-like next-word generation processes are more accurate than those of older models. Our findings highlight the value of applying psychological methodologies to study large language models, as this can uncover previously undetected emergent characteristics.
Natural language processing analysis of the psychosocial stressors of mental health disorders during the pandemic
Authors: Raveau María P. , Goñi Julián I. , Rodríguez José F. , Paiva-Mack Isidora , Barriga Fernanda , Hermosilla María P. , Fuentes-Bravo Claudio , Eyheramendy Susana 
Published: October 2023

AbstractOver the past few years, the COVID-19 pandemic has exerted various impacts on the world, notably concerning mental health. Nevertheless, the precise influence of psychosocial stressors on this mental health crisis remains largely unexplored. In this study, we employ natural language processing to examine chat text from a mental health helpline. The data was obtained from a chat helpline called Safe Hour from the “It Gets Better” project in Chile. This dataset encompass 10,986 conversations between trained professional volunteers from the foundation and platform users from 2018 to 2020. Our analysis shows a significant increase in conversations covering issues of self-image and interpersonal relations, as well as a decrease in performance themes. Also, we observe that conversations involving themes like self-image and emotional crisis played a role in explaining both suicidal behavior and depressive symptoms. However, anxious symptoms can only be explained by emotional crisis themes. These findings shed light on the intricate connections between psychosocial stressors and various mental health aspects in the context of the COVID-19 pandemic.
Cell organelles are retained inside pyroptotic corpses during inflammatory cell death
Authors: Hempel Anne , D'Osualdo Andrea , Snipas Scott J. , Salvesen Guy S. 
Published: October 2023

Abstract
Many proinflammatory proteins are released via the necrotic form of cell death known as pyroptosis. Sometimes known as gasdermin D (GSDMD) dependent cell death, pyroptosis results from the formation of pores in the plasma membrane leading to eventual cell lysis. Seeking to understand the magnitude of this cell lysis we measured the size of proteins released during pyroptosis. We demonstrate that there is no restriction on the size of soluble proteins released during pyroptosis even at early timepoints. However, even though large molecules can exit the dying cell, organelles are retained within it. This observation indicates that complete cell rupture may not be a consequence of pyroptosis, and that plasma membrane architecture is retained.
On validating a generic camera‐based blink detection system for cognitive load assessment
Authors: Biondi Francesco N. , Graf Frida , Pillai Prarthana , Balasingam Balakumar 
Published: October 2023

AbstractDetecting the human operator's cognitive state is paramount in settings wherein maintaining optimal workload is necessary for task performance. Blink rate is an established metric of cognitive load, with a higher blink frequency being observed under conditions of greater workload. Measuring blink rate requires the use of eye‐trackers which limits the adoption of this metric in the real‐world. The authors aim to investigate the effectiveness of using a generic camera‐based system as a way to assess the user's cognitive load during a computer task. Participants completed a mental task while sitting in front of a computer. Blink rate was recorded via both the generic camera‐based system and a scientific‐grade eye‐tracker for validation purposes. Cognitive load was also assessed through the performance in a single stimulus detection task. The blink rate recorded via the generic camera‐based approach did not differ from the one obtained through the eye‐tracker. No meaningful changes in blink rate were however observed with increasing cognitive load. Results show the generic‐camera based system may represent a more affordable, ubiquitous means for assessing cognitive workload during computer task. Future work should further investigate ways to increase its accuracy during the completion of more realistic tasks.