bluuebunny/crossref_metadata_2025_split huggingface dataset:
„Usieciowienie” versus psychologia. Kilka uwag na temat książki Agnieszki Ogonowskiej „Cyberpsychologia. Media — użytkownicy — zastosowania”, Kraków 2021
Authors: Grodź Iwona 
Published: December 2023

The reviewed publication is the result of many years of research by the author of Cyberpsychologia, Agnieszka Ogonowska, on the psychological aspects of “networking” of a person and his environment, understood not so much in the quantitative sense (time spent using the Internet) but in the qualitative sense (type and level of advancement of participation in virtual life). The texts collected in this book are the result of conferences, training and scientific meetings, so it is easy to see the multitude of perspectives on the phenomenon of cyberpsychology, and even more broadly, cyberculture. This is an undoubted advantage of this publication, because it reveals the need to have interdisciplinary competences, also in the context of the prospect of further research on the interpenetration of technology and psychology.
The findings of the author of Cyberpsychologia, which are an important reason why this book is worth recommending, must be precisely said that only the mind of a conscious, attentive sender and recipient encodes all information "here and now", does not try to hastily evaluate it or even name it, only focuses on them and analyzes them from a distance.
In situ FRET measurement of cellular tension using conventional confocal laser microscopy in newly established reporter mice expressing actinin tension sensor
Authors: Wang Junfeng , Maeda Eijiro , Tsujimura Yuki , Abe Takaya , Kiyonari Hiroshi , Kitaguchi Tetsuya , Yokota Hideo , Matsumoto Takeo 
Published: December 2023

Abstract
FRET-based sensors are utilized for real-time measurements of cellular tension. However, transfection of the sensor gene shows low efficacy and is only effective for a short period. Reporter mice expressing such sensors have been developed, but sensor fluorescence has not been measured successfully using conventional confocal microscopy. Therefore, methods for spatiotemporal measurement of cellular tension in vivo or ex vivo are still limited. We established a reporter mouse line expressing FRET-based actinin tension sensors consisting of EGFP as the donor and mCherry as the acceptor and whose FRET ratio change is observable with confocal microscopy. Tension-induced changes in FRET signals were monitored in the aorta and tail tendon fascicles, as well as aortic smooth muscle cells isolated from these mice. The pattern of FRET changes was distinctive, depending on tissue type. Indeed, aortic smooth muscle cells exhibit different sensitivity to macroscopic tensile strain in situand in an isolated state. This mouse strain will enable novel types of biomechanical investigations of cell functions in important physiological events.
Illuminating T cell-dendritic cell interactions in vivo by FlAsHing antigens
Authors: Akkaya Munir , Souz Jafar Al , Williams Daniel , Kamdar Rahul , Kamenyeva Olena , Kabat Juraj , Shevach Ethan M. , Akkaya Billur 
Published: December 2023

Abstract
Delineating the complex network of interactions between antigen-specific T cells and antigen presenting cells (APCs) is crucial for effective precision therapies against cancer, chronic infections, and autoimmunity. However, the existing arsenal for examining antigen-specific T cell interactions is restricted to a select few antigen-T cell receptor pairs, with limited in situ utility. This lack of versatility is largely due to the disruptive effects of reagents on the immune synapse, which hinder real-time monitoring of antigen-specific interactions. To address this limitation, we have developed a novel and versatile immune monitoring strategy by adding a short cysteine-rich tag to antigenic peptides that emits fluorescence upon binding to thiol-reactive biarsenical hairpin compounds. Our findings demonstrate the specificity and durability of the novel antigen-targeting probes during dynamic immune monitoring in vitro and in vivo. This strategy opens new avenues for biological validation of T-cell receptors with newly identified epitopes by revealing the behavior of previously unrecognized antigen-receptor pairs, expanding our understanding of T cell responses.
Upstream rainout processes govern tree-ring oxygen isotopes with implications for monsoon and tropical hydroclimate reconstruction
Authors: Chen I-Ching , Hau Nguyen-Xuan , Sano Masaki , Nakatsuka Takeshi , Anchukaitis Kevin , Ngo-Duc Thanh , Chang Ying-Shuo , Chen Shin-Hao , Wang Szu-Hao , Wei Hsin-Lin , Li Zhen , Thuong Le-Thi , Minh Tran Binh 
Published: December 2023

Abstract
The interpretation of oxygen isotope ratios (δ18O) in proxy records over the Asian monsoon region remains a significant debate, particularly regarding the importance of the local "amount effect" versus upstream rainout processes. Here, we present a precisely dated annual-resolution network of tree-ring oxygen isotopes (δ18Otr) encompassing various tree species and local climates. We demonstrate that δ18Otr is a reliable proxy for δ18O in precipitation (δ18Opr) and that upstream rainout processes, rather than the local amount effect, predominantly govern the δ18Otr variations. The El Niño-Southern Oscillation and the associated Walker Circulation play a crucial role in modulating upstream atmospheric convective activity, which in turn influences δ18Otr. By elucidating the spatial coherence between climate observations and δ18Opr proxies, our research marks a pivotal advancement in δ18Otr network development, which is set to advance the interpretation of monsoon dynamics and the reconstruction of tropical hydroclimates.
Rare variant analyses validate known ALS genes in a multi-ethnic population and identifies ANTXR2 as a candidate in PLS
Authors: Pottinger Tess D. , Motelow Joshua E. , Povysil Gundula , Moreno Cristiane A. Martins , Ren Zhong , Phatnani Hemali , Aitman Timothy J. , Santoyo-Lopez Javier , Mitsumoto Hiroshi , Goldstein David B. , Harms Matthew B. 
Published: December 2023

Abstract
Background: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease affecting over 30,000 people in the United States. It is characterized by the progressive decline of the nervous system that leads to the weakening of muscles which impacts physical function. Approximately, 15% of individuals diagnosed with ALS have a known genetic variant that contributes to their disease. As therapies that slow or prevent symptoms, such as antisense oligonucleotides, continue to develop, it is important to discover novel genes that could be targets for treatment. Additionally, as cohorts continue to grow, performing analyses in ALS subtypes, such as primary lateral sclerosis (PLS), becomes possible due to an increase in power. These analyses could highlight novel pathways in disease manifestation.
Methods: Building on our previous discoveries using rare variant association analyses, we conducted rare variant burden testing on a substantially larger cohort of 6,970 ALS patients from a large multi-ethnic cohort as well as 166 PLS patients, and 22,524 controls. We used intolerant domain percentiles based on sub-region Residual Variation Intolerance Score (subRVIS) that have been described previously in conjunction with gene based collapsing approaches to conduct burden testing to identify genes that associate with ALS and PLS.
Results: A gene based collapsing model showed significant associations with SOD1, TARDBP, and TBK1 (OR=19.18, p = 3.67 × 10-39; OR=4.73, p = 2 × 10-10; OR=2.3, p = 7.49 × 10-9, respectively). These genes have been previously associated with ALS. Additionally, a significant novel control enriched gene, ALKBH3 (p = 4.88 × 10-7), was protective for ALS in this model. An intolerant domain based collapsing model showed a significant improvement in identifying regions in TARDBP that associated with ALS (OR=10.08, p = 3.62 × 10-16). Our PLS protein truncating variant collapsing analysis demonstrated significant case enrichment in ANTXR2 (p=8.38 x 10-6).
Conclusions: In a large multi-ethnic cohort of 6,970 ALS patients, rare variant burden testing validated known ALS genes and identified a novel potentially protective gene, ALKBH3. A first-ever analysis in 166 patients with PLS found a candidate association with loss-of-function mutations in ANTXR2.
Nearest Advocate: A Novel Event-based Time Delay Estimation Algorithm for Multi-Sensor Time-Series Data Synchronization
Authors: Schranz Christoph , Mayr Sebastian , Bernhart Severin , Halmich Christina 
Published: December 2023

Abstract
Estimating time delays in event-based time-series is a crucial task in signal processing as it affects the data quality and is a prerequisite for many subsequent analyses. In particular, data acquired from wearable devices often suffer from a low timestamp precision or clock drift. Current state-of-the-art methods such as Pearson Cross-Correlation are sensitive to typical data quality issues, e.g. misdetected events, and Dynamic Time Warping is computationally expensive. To overcome these limitations, we propose Nearest Advocate, a novel event-based time delay estimation method for multi-sensor time-series data synchronisation. We evaluate its performance using three independent datasets acquired from wearable sensor systems, demonstrating its superior precision, particularly for short, noisy time-series with missing events. Additionally, we introduce a sparse variant that balances precision and runtime. Finally, we demonstrate how Nearest Advocate can be used to solve the problem of linear as well as non-linear clock drifts. Thus, Nearest Advocate offers a promising opportunity for time delay estimation and post-hoc synchronization for challenging datasets across various applications.
Advancing Infrastructure Resilience: Machine Learning-Based Prediction of Bridges’ Rating Factors under Autonomous Truck Platoons
Authors: Elshazli Mohamed , Hussein Dina , Bhat Ganapati , Abdel-Rahim Ahmed , Ibrahim Ahmed 
Published: December 2023

Abstract
The operational characteristics of freight shipment will significantly change after the imple- mentation of Autonomous and Connected Trucks (ACT). This change will have a significant impact on freight mobility, transportation safety, and the sustainability of infrastructure. Truck platooning is an emerging truck configuration that is expected to become operational in the future due to the rapid advancements in connected vehicle technology and autonomous driving assistance. The platooning configuration enables trucks to be connected with them- selves and the surrounding infrastructure. This arrangement has shown to be a promising solution to improve the vehicles’ fuel efficiency, reduce carbon dioxide emission, reduce traf- fic congestion, and improve transportation service. However, platooning may accelerate the damage accumulation of pavement and bridge structures due to the formation of multiple load axles within each platoon since those structures were not designed for such loads. Ac- cording to AASHTO, bridges are designed based on a notional live load model comprised of one or two trucks per lane in conjunction with or separate from an applied uniform load (AASHTO, LRFD 2022). This damage, if accumulated, its repair would require billions of dollars from the government and would impede the movement of both people and goods. The potential damage to infrastructure may arise due to various factors such as the number of trucks in a platoon, gap spacing between trucks, and the type of trucks. This research work includes a thorough parametric study with 295,200 computer simulations using SAP 2000.
The goal was to evaluate the effect of different truck platooning configurations on the load rating of existing bridges. The obtained results served as the dataset for training various machine learning models, including Random Tree, Random Forest, Multi-Layer Perceptron (MLP), Support Vector Regression (SVR), K-Nearest Neighbor (KNN), and Extreme Gra- dient Boosting (XGBoost). Results showed that Random Forest model performed the best, with the lowest prediction errors. The proposed machine learning model has shown its ef- fectiveness in identifying optimal platooning configurations for bridge structures within the scope of the study.
Effects of adjuvants on the effectiveness and rainfastness of rimsulfuron in potato (Solanum tuberosum L.)
Authors: Alebrahim Mohammad Taghi , Kalkhoran Elham Samadi , Khatami Seyedeh Asieh 
Published: December 2023

Abstract
The use of adjuvants is an effective way to improve weed control. We evaluated the effect of a non-ionic surfactant (NIS, Contact) and a crop oil concentrate (COC, Renol) on the efficacy and rainfastness of the rimsulfuron on redroot pigweed (Amaranthus retroflexus L.) and common lambsquarters (Chenopodium album L.) in pot studies as well as NIS surfactant in a potato under field conditions. In outdoor pot studies, NIS (0.15 L ha− 1) and COC (0.5 L ha− 1) did not improve the efficacy of rimsulfuron on A. retroflexus while they enhanced the performance and rainfastness of rimsulfuron 14 and two-fold on Chenopodium album at those rates, respectively. However, increasing the NIS concentration to 1 L ha− 1 increased rimsulfuron efficacy by 11-fold for A. retroflexus compared to around 3-fold for C. album. The same treatment also reduced the rainfastness of rimsulfuron on A. retroflexus while improving the rainfastness of rimsulfuron on Chenopodium album compared to 0.04 L ha− 1. The ED50 and ED90 values indicated that the addition of the 0.2 L ha− 1 of NIS improved the efficacy of both recommended (60 g ai. ha− 1) and the reduced (30 g ai. ha− 1) doses of rimsulfuron in field conditions. The highest potato yield (60 t ha− 1) was recorded when rimsulfuron was applied at recommended dose at three different crop growth stages including the development of leaves (S1), harvestable vegetative plants (S4), and tubers (S7), without using a NIS. Overall, the NIS improved rimsulfuron efficacy, especially when the herbicide was applied at a lower dose.
Detection of Bluetongue Virus Antibodies and Associated Risk Factors among Camels (Camelus dromedarius) in Central Sudan: A Cross-Sectional Study
Authors: Saeed Shamsaldeen , Elhag Ahmed E. , Adam Ibrahim A. , Ibrahim Abdul Naeem , Hassan Nosiaba F. , Adekola Adewole A. , Goni Mohammed D. , Yazici Zafer , Abdelaziz Sanaa A. , Aradaib Imadeldin E. 
Published: December 2023

Abstract
Bluetongue (BT) is a non-contagous arthorpbpd-born viral infection transmitted by insects, particularly biting midges of the Culicoides species, and can affect wild and domestic ruminants, including sheep, goats,cattels, deer, elk, and camales. This study aims to determine the prevalence of BTV antibodies in camels reared in central Sudan and the potential risk factors contributing to its epidemiology. A total of 184 blood samples were collected between November 2014 and May 2015 from six localities in Khartoum state in Sudan using multi-stage random sampling. The sampled farms' characteristics and management factors were obtained using a semi-structured questionnaire. Serology for BTV antibody detection was performed using a competitive enzyme-linked immunosorbent assay (cELISA). Our findings indicated a high prevalence of circulating BTV. antibodies in camels' sera (66.8%, 95% CI = 0.6–0.73). Camels raised on farms were more likely to contract the disease (OR = 0.424, CI = 0.223–1.071, p-value = 0.040) than camels bought from the market or other farms. The presence of other animals in the camels' herds, such as sheep, goats, and cattle, has increased the risk of infection with diseases compared to camels that are reared alone in the farms (OR = 0.176, CI = 0.43–0.771, p-value = 0.016). The high BTV seroprevalence indicates the endemicity of BTV, the risk of previous exposure, and the potentiality for BTV Transmission among asymptomatic camels. Control measurements, including vector control, trade restriction, and vaccination, are recommended to protect vulnerable animal species from BTV infection.
A Novel Approach to Nursing Clinical Intelligent Decision-Making: Integration of Large Language Models and Local Knowledge Bases
Authors: Xiong Liping , Zeng Qiqiao , Deng Wuhong , Luo Weixiang , Liu Ronghui 
Published: December 2023

Abstract
Objective: The purpose of this study is to develop a novel method for nursing clinical intelligent decision-making that integrates Large Language Models (LLMs) with local knowledge bases, aiming to enhance the accuracy and reliability of clinical decisions in nursing.
Methods: Initially, we established a multi-level classified nursing knowledge base by collecting textual knowledge from public knowledge platforms and integrating selected contents from peer-reviewed nursing journals, academic papers, textbooks, and nursing standards. Subsequently, data knowledge was collected from clinical records and normalized to form a data knowledge base. Additionally, we proposed a nursing clinical decision-making system paradigm based on prompt learning in “LLMs + professional knowledge bases”, addressing the issue of catastrophic forgetting common in domain-specific question-answering systems due to the “data + fine-tuning” paradigm.
Results: Utilizing the aforementioned methodology, we successfully constructed a nursing knowledge base and developed a decision-making system. The evaluation results demonstrate that this system possesses high accuracy, logical coherence, completeness, and readability in clinical nursing decisions. It enhances the convenience and efficiency of medical staff in clinical decision-making and effectively improves the applicability of LLMs in the field of nursing.
Conclusion: This study validates the effectiveness of the approach that combines LLMs with local knowledge bases in nursing clinical decision-making. This method not only enhances the accuracy of decisions but also provides efficient decision support in resource-limited scenarios. In the future, this approach is expected to be applied in a broader range of nursing settings, offering new perspectives and tools for clinical nursing practice and research.
Optimal design of non-uniform curved grid-stiffened shell with different stiffener patterns
Authors: Yu Sun , Xiaoang Li , Yan Zhou , Zhou Zitong , Wang Bo , Tian Kuo 
Published: December 2023

Abstract
This paper presents a non-uniform curved grid-stiffened shell design method aiming to enhance structural performance using various stiffener patterns, allowing simultaneous optimization of stiffener thickness and stiffener layout. Firstly, the grid-stiffened cell description function is defined using quadratic polynomial functions, comprising the orthogrid, the triangle grid, the rotated triangle grid and the Kagome grid. Then, the non-uniform stiffener layout description function is established using the sawtooth function, while a filter function is employed to ensure the smooth and continuous of the stiffeners. Moreover, the analytical sensitivity is thoroughly derived, and the optimization problem is formulated. Finally, the effectiveness of the proposed method is demonstrated through three representative numerical examples: the cantilever beam, the special-shaped plate and the S-shape shell. The study concludes that the proposed method can optimize arbitrary flat plates by embedding the design domain into the background grid. Additionally, the proposed method can be extended to perform stiffener design on complex surfaces using mesh projection technology. Optimization results indicate that the non-uniform curved grid-stiffened shell design exhibits superior structural performance compared to the uniform grid-stiffened shell design.
Effects of green tea consumption on oxidative stress and DNA repair in hospital staff exposed to low dose ionizing radiation
Authors: Wang Ping , Huo Yuan , gao xue , Chen Jiarui , Zhang Zengli 
Published: December 2023

Abstract
Ionizing radiation (IR) is known to induce the formation of reactive oxygen species, which are linked to chronic diseases. Tea is the most commonly consumed beverage worldwide. Tea consumption was demonstrated to have ameliorative effects in subjects with chronic diseases, which were explained by antioxidant and anti-inflammatory effects. This cross-sectional study to evaluate the potential benefits of green tea consumption on oxidative stress and DNA repair induced by occupational exposure to IR. A cohort of hospital workers exposed to occupational levels of IR were divided into two groups based on their tea consumption. Peripheral blood cell count were counted by a automated Coulter Counter. Markers of oxidative stress and inflammatory were detected commercial kit. DNA repair gene expression was detected by RT-PCR.The subjects in the no tea-consuming group presented with significantly decreased plasma levels of total antioxidant content (TAC) and superoxide dismutase (SOD) compared to the tea drinking group. In contrast, the non-tea-drinking group showed significantly increased plasma levels of malondialdehyde (MDA) and 8-hydroxy-2 deoxyguanosine (8-OHdG), indicating oxidative stress at the tissue and DNA levels, respectively. The Tea Group subjects showed significantly lower plasma levels of C-reactive protein and TNF-α compared with the No Tea Group. However, the expressions of DNA repair genes (OGG1 and XRCC1) were not significantly different between two groups. In conclusion, green tea consumption might be a novel method for decreasing levels of oxidative stress in workers exposed to low levels of IR.
Lyapunov exponents and shear-related chaos for a Hopf bifurcation with additive noise
Authors: Baxendale Peter 
Published: December 2023

Abstract

This paper considers the effect of additive white noise on the normal form for the supercritical Hopf bifurcation in 2 dimensions. The main results involve the asymptotic behavior of the top Lyapunov exponent λ associated with this random dynamical system as one or more of the parameters in the system tend to 0 or ∞. This enables the construction of a bifurcation diagram in parameter space showing stable regions where λ <0 (implying synchronization) and unstable regions where λ > 0 (implying chaotic behavior). The value of λ depends strongly on the shearing effect of the twist factor b/a of the deterministic Hopf bifurcation. If b/a is sufficiently small then λ <0$ regardless of all the other parameters in the system. But when all the parameters except b are fixed then λ grows like a positive multiple of b2/3 as b → ∞.
2020 Mathematics Subject Classification: 37H10, 37H15, 60H10, 60J60.
Comparative analysis of the chimpanzee and human brain superficial structural connectivities
Authors: Chauvel Maëlig , Pascucci Marco , Uszynski Ivy , Herlin Bastien , Mangin Jean-François , Hopkins William , Poupon Cyril 
Published: December 2023

Abstract

Diffusion MRI tractography (dMRI) has fundamentally transformed our ability to investigate white matter pathways in the human brain. While long-range connections have been extensively studied, short-range white matter bundles (SWMBs) have remained a relatively underexplored aspect of brain connectivity. This study undertakes a comprehensive examination of SWMB connectivity in both the human and chimpanzee brains, employing a novel combination of empirical and geometric methodologies to classify SWMB morphology in an objective manner. Leveraging two anatomical atlases, the Ginkgo Chauvel chimpanzee atlas and the Ginkgo Chauvel human atlas, comprising respectively 844 and 1375 superficial bundles, this research focuses on sparse representations of the morphology of SWMBs to explore the little-understood superficial connectivity of the chimpanzee brain and facilitate a deeper understanding of the variability in shape of these bundles. Ultimately, the analysis aims to uncover both commonalities and disparities in SWMBs between chimpanzees and humans, shedding light on the evolution and organization of these crucial neural structures.