bluuebunny/crossref_metadata_2025_split huggingface dataset:
6G ultra-high frequency propagation characteristics and radio channel modeling in dense urban environments
Authors: Avdiu Agnesë , Humar Iztok , Volk Mojca 
Published: February 2024

Abstract
The aim of Sixth Generation (6G) is to jointly satisfy the requirements of ultrahigh reliability, capacity, efficiency, and low latency, and deliver both customizable and sector-specific communications. To achieve such improved capabilities, 6G explores a plethora of new approaches, one of which is the possibility of extending the range of radio channel resources by exploiting ultra-high frequency bands in the millimeter wave range that have not been used thus far. This, however, represents a considerable challenge. The development of efficient high-frequency radio technologies requires accurate channel modeling preceded by a meticulous comparative scientific analysis of path loss characteristics of the millimeter wave frequency bands. This paper investigates propagation characteristics based on simulations of the 100 GHz ultra-high frequency band in a dense urban 6G environment. A radio channel performance evaluation for the selected frequency band was completed in a simulated environment using NYUSIM toolset. A range of propagation parameters were characterized for a selection of line-of-sight and non-line-of-sight scenarios, including path loss, received power, and path loss exponent. The results show that utilization of the selected operating frequency in 6G is feasible but future research work is challenged with urban macro-cell deployments in indoor environments.
Thermal tolerance and cellular plasticity in marine phytoplankton diatoms modulated by epigenetic mechanisms for environmental adaptation
Authors: Li Dawei , Li Hong-Ye , Huang Dan , Cheng Cai-Qin , Yun Zhang , Huang Yun , Huang Xue-Ling , Pei Lulu , Li Siying , Huang Yitong , Luo Zhaohe , Zou Ligong , Yang Wei-Dong , Zheng Xiaofei 
Published: February 2024

Abstract
Diatoms are a crucial component of marine ecosystems, known for their broad environmental adaptability and wide temperature tolerance. However, the molecular mechanisms underlying their adaptability to diverse temperatures are unknown. In this study, we discovered that heat shock transcription factors (HSFs) are potentially important for thermal tolerance in diatoms. Our study focused on PtHSF2, which was annotated as HSF2 in Phaeodactylum tricornutum’s genome and was ubiquitous in diatoms. Overexpression of PtHSF2 markedly enhanced diatom's thermal tolerance and influenced cell size; caused significant differential expression of many genes such as cell division cycle protein 45 like (Cdc45-like, named PtCdc45-like), light harvesting complex protein 2 (Lhcx2), and fatty acid desaturase (FAD). Cleavage Under Targets and Tagmentation (CUT&Tag) and CUT&Tag-qPCR analyses demonstrated that PtHSF2 targeted and up-regulated Cdc45-like and Lhcx2, down-regulated ATP-binding cassette (ABC) transporter. Functional validation analysis of PtCdc45-like showed that its overexpression induced a larger cell size, enhanced antioxidant capacity, and therefore improved cell survival rate at high temperatures. Collectively, our results elucidated the molecular mechanism of PtHSF2 mediating high-temperature tolerance of diatoms and validated the functions of its target gene PtCdc45-like. These findings emphasize the importance of heat shock transcription factors in the temperature adaptation of diatoms and provide new insights for temperature acclimation studies in microalgae.
Pedestrian trajectory prediction based on improved avoidance force algorithm
Authors: Miao Jiazhe , Kang Yalong , Peng Tao , Liu Tongyu 
Published: February 2024

Abstract
The complexity of interactions between pedestrians poses a challenge to pedestrian trajectory prediction, and existing trajectory prediction methods based on data-driven models lack interpretation for modeling interactions between pedestrians. To address this problem, an improved avoidance force algorithm is proposed to model the interaction of pedestrian forces explicitly. Multiple socially acceptable pedestrian trajectory information is generated by using the prior knowledge of observed trajectory and the avoidance force algorithm.The avoidance force trajectories are evaluated by an attention network to generate confidence scores; the avoidance force trajectories are selected based on the confidence scores; The final accurate trajectories are refined using Teacher-forcing. In comparison with recent approaches, our experimental results on the ETH and UCY datasets demonstrate a significant improvement in both Average Displacement Error (ADE) and Final Displacement Error (FDE) achieved by the proposed method.
Computational Linguistic Analysis for the Isolation of Propitious miRNA Bio- indicators in Esophageal Cancer
Authors: Nian Hui , Zhu Qiaoliang , Xu Songtao 
Published: February 2024

Abstract

Introduction MicroRNAs (miRNAs) serve as diminutive, non-coding RNA molecules that are instrumental in the ontogenesis of Esophageal Cancer. While isolated investigations elucidate invaluable facets of miRNA mechanisms in this malignancy, their circumscribed scope hampers a holistic comprehension of miRNAs' contributions to the pathophysiology and therapeutic strategy of Esophageal Cancer. Methods To mitigate the idiosyncratic biases inherent in isolated studies, we harnessed a text mining-based analytics to discern the roles of miRNAs in esophageal cancer and their viability as bio-indicators. Abstracts from scholarly articles were tokenized, and salient biomedical lexemes were extracted for thematic modeling. Five machine learning paradigms—Logistic Regression(LR), Naïve Bayes,DCA ,Random Forests, and Support Vector Machines (SVM)—were deployed for the categorization of Esophageal Cancer. Feature saliency was evaluated to architect miRNA-Esophageal Cancer interaction networks. Results Our scrutiny unearthed 5 topics within miRNA studies pertinent to Esophageal Cancer, revealing a topic-specific proclivity among miRNAs.Logistic Regression manifested an auspicious prognostic capability for Esophageal Cancer, boasting an accuracy metric exceeding 57%. Remarkably, miR-21 surfaced as a pivotal bio-indicator for Esophageal Cancer prognosis, targeting an array of genes and signaling cascades implicated in esophageal Cancer Conclusion This integrative methodology furnishes overarching insights into the miRNA-Esophageal Cancer nexus and substantiates the prospective utility of miRNAs as bio-indicators for this malignancy.
Uncommon Syndactyly Linked with Dandy-Walker Syndrome in a Newborn: A Case Report
Authors: Faraji Navid , Goli Rasoul , Atharifar Reza , Shahmirza Noushin 
Published: February 2024

Abstract

Dandy-Walker syndrome (DWS) is a rare congenital disorder characterized by structural abnormalities in the cerebellum and fluid-filled spaces within the brain. A 38-year-old Kurdish mother presented for routine prenatal ultrasound at 17 weeks and 4 days gestation, where an anomaly in the fetus' foot and ankle was observed. Subsequent evaluations revealed unilateral clubfoot deformity, syndactyly of the toes as a new finding, hydrocephalus, cerebral atrophy, and cardiac abnormalities. The infant experienced apnea and seizure attacks after birth. Diagnostic imaging modalities, including three-dimensional ultrasound and neurogram scan, confirmed cerebellar vermis agenesis and ventricular enlargement. This case report contributes to the understanding of DWS, emphasizing the importance of comprehensive clinical evaluations and imaging studies in diagnosing and managing the condition. Further research and accumulation of similar cases are warranted to enhance knowledge and improve care for individuals with DWS.
APSEA: An Awareness and Prevention Expert System against Social Engineering Attacks in Public Organizations
Authors: Cardoso Waldson Rodrigues , Ribeiro Admilson de Ribamar Lima , Silva João Marco Cardoso 
Published: February 2024

Abstract
The growing concern for information security arises from the risks associated with the dissemination of personal data on the internet and the increasing incidents of social engineering attacks, which exploit psychological vulnerabilities. These attacks pose a substantial threat to individuals and organizations, potentially resulting in significant financial losses. This article highlights the development of the APSEA tool - Awareness and Prevention Expert System against Engineering Attacks, an expert system designed to raise awareness and prevent social engineering attacks in public organizations. The tool aims to make employees vigilant against such threats, empowering them to identify and avoid psychological manipulation techniques used by attackers. Despite existing protective measures such as awareness training and security policies, APSEA seeks to contribute to strengthening the human factor in information security. The article covers key concepts in information security, presenting interactive modules and artificial intelligence features to identify vulnerabilities. A qualitative and performance evaluation of the tool is conducted, and the results indicate that the adopted approach is effective in achieving its objectives.
Novel Approach in Posterior Cervical Laminoplasty: Integrating Spinous Process Sutures with Intermittent Titanium Miniplates
Authors: Zhao Shuai , Sun Ying-Jin , Wen Geng-Ao , Qiu Shang , Li Cheng , Feng Shuo , Yuan Feng 
Published: February 2024

Abstract

Objective
This study aimed to assess the clinical effectiveness of using intermittent titanium miniplates at C4 and C6 in conjunction with adjacent spinous process sutures for lifting and fixation during posterior cervical unilateral open-door laminoplasty.
Methods
We retrospectively analyzed the clinical data of 24 patients with ossification of the posterior longitudinal ligament who underwent this surgery. We assessed the Japanese Orthopaedic Association (JOA) score, visual analog scale (VAS) score, and the incidence of axial symptoms preoperatively. Additionally, we measured cervical curvature angle (CCA), range of motion (ROM), effective sagittal diameter (ESD), and the effective narrowest area (ENA) of the spinal canal both before and after surgery. All patients were followed up for a minimum of 1 year.
Results
At the final follow-up, significant improvements were observed in JOA scores and VAS scores compared to preoperative values. There was a significant improvement in postoperative ENA and ESD. There were no statistically significant differences in CCA and ROM at the final follow-up compared to preoperative values. Axial symptoms developed in 7 cases (29.2%, 7/24) postoperatively.
Conclusions
Integrating spinous process sutures with intermittent titanium miniplates not only reduces patient costs but also improves clinical outcomes in posterior unilateral open-door decompression of cervical laminae.
Genomic alterations in hepatocellular carcinoma patients undergoing liver transplantation predict recurrence and prognosis
Authors: Li Xinqiang , Wang Chengyu , Qi Yingxue , Yu Ting , Zhang Qin , Liu Huan , Luo Ningning , Cai Hailun , Chen Jinhui , Cheng Shuang , Cai Jinzhen , Wu Bin 
Published: February 2024

Abstract
Liver transplantation (LT) stands as a pivotal treatment for hepatocellular carcinoma (HCC), outperforming comprehensive treatments in long-term efficacy. However, the 5-year post-LT survival rate hovers between 60% and 70%, largely due to recurrent HCC, spotlighting the critical need for biomarkers that can predict recurrence and prognosis following LT. Our study embarked on this challenge by retrospectively analyzing data from 37 HCC patients who underwent LT from January 2019 to January 2021. Employing whole exome sequencing on tissue and control blood samples, we segregated these patients into recurrence (n = 14) and non-recurrence groups (n = 23), based on a one-year postoperative threshold. Our analysis unveiled a distinctive genomic mutation spectrum in these patients, highlighting five predominantly mutated genes: BCLAF1, MUC4, TP53, FMN2, and TTC7A. Notably, clinical features between the two groups showed no significant divergence. However, the recurrence group demonstrated markedly inferior overall survival (OS) compared to their counterparts (p < 0.0001). Multivariate regression pinpointed 304 genes as independent predictors for recurrence-free survival (RFS) and 482 genes for OS (p < 0.05). Additionally, our research led to the development of a novel 13-gene model, which markedly influences both RFS and OS. Patients classified within the high-risk category of this model experienced significantly poorer outcomes. This study is a trailblazer in linking genomic alterations with the recurrence and survival rates of HCC patients post-LT, introducing a 13-gene model that offers substantial predictive and prognostic utility.
Characterization of Heavy Metal Contamination in Groundwater of Typical Mining Area in Hunan Province
Authors: Hao Wenjie , Liu Huan , Hao Shuli , Mao Kuanzhen 
Published: February 2024

Abstract
This paper mainly carries out the research work by analysing and testing the groundwater quality in typical mining areas, based on the hydrogeochemical investigation data of groundwater monitoring points, and analyses the statistical characteristics of different index factors in antimony mining areas by using Spss and Surfer software. Firstly, using the standard deviation feature analysis, it is found that mining is more sensitive to the impact of As and Sb, and the degree of its pollution is the most serious, and the exceeding rate reaches 100%; later, the results of the analysis through the principal component analysis method show that the first principal component a1 has a higher correlation with Sb and Se in the original variables, the second principal component a2 has a stronger positive correlation with Ba in the original variables, and a stronger negative correlation with Mo, and the third principal component a3 has a stronger positive correlation with Mn in the original variables, and the negative correlation between Co and the third principal component is stronger. Finally, the correlation between each heavy metal indicator factor and the other six indicator factors was calculated by Spss software analysis to find out the pattern of the order of strength of the correlation of the indicator factors, and it was concluded that the concentration of Se and Mo had a stronger correlation with the other heavy metals in the study area, whereas the correlation of Mn and Co with the other influencing factors was lower. This paper summarises and refines the statistical characteristics of groundwater hydrogeochemistry in the mining area to provide reference for the diagnosis, prevention and control of groundwater pollution risk in this and similar mining areas.
Phosphoproteomic investigation of targets of protein phosphatases in EGFR signaling
Authors: Eguchi Akihiro , Olsen Jesper V. 
Published: February 2024

Abstract
Receptor tyrosine kinases (RTKs) initiate cellular signaling pathways, which are regulated through a delicate balance of phosphorylation and dephosphorylation events. While many studies of RTKs have focused on downstream-activated kinases catalyzing the site-specific phosphorylation, few studies have focused on the phosphatases carrying out the dephosphorylation. In this study, we analyzed six protein phosphatase networks using chemical inhibitors in context of epidermal growth factor receptor (EGFR) signaling by mass spectrometry-based phosphoproteomics. Specifically, we focused on protein phosphatase 2C (PP2C), involved in attenuating p38-dependent signaling pathways in various cellular responses, and confirmed its effect in regulating p38 activity in EGFR signaling. Furthermore, utilizing a p38 inhibitor, we classified phosphosites whose phosphorylation status depends on PP2C inhibition into p38-dependent and p38-independent sites. This study provides a large-scale dataset of phosphatase-regulation of EGF-responsive phosphorylation sites, which serves as a useful resource to deepen our understanding of EGFR signaling.
Magnesium Sulfide Nanoparticles of Hordeum vulgare: Green Synthesis and their nano- nutrient impact on seed priming effect, germination, root and shoot length of Brassica nigra and Trigonella foenum-graecum
Authors: Elizabeth M. Kezia , Devi Randhi Uma , Makam Parameshwar , Ratnamala A 
Published: February 2024

Abstract
This work describes the green synthetic process for magnesium sulfide nanoparticles (MgS NPs) using an extract from Hordeum vulgare leaves. An examination of the MgS NPs was performed utilizing X-ray diffraction (XRD), UV-visible spectroscopy, and scanning electron microscopy (SEM) techniques. The MgS NPs generated were spherical and had a high level of purity. They had a band gap of 2.0 eV, a uniform distribution, and an average crystal size of 14 nm. The MgS nanoparticles synthesized exhibited several geometrical morphologies, including spherical, rod-shaped, and bean-shaped structures. The nanoparticles exhibited an average size of 5 nm, with a band gap of precisely 4.85 eV. The efficacy of MgS NPs on Brassica nigra and Trigonella foenum-graecum for seed priming, germination rate and time, root length, and shoot length has been assessed using different doses. Optimal germination occurs at concentrations of 15mg/100ml and 20mg/100ml, while germination is impeded when the concentration surpasses 30mg/100ml. MgS NPs exhibit a diminutive size and elevated reactivity, which allows them to augment the water absorption and nutrient control capacities of seeds. Consequently, this promotes the germination process and plant growth by decreasing the average duration of germination. Seeds of Brassica nigra and Trigonella foenum-graecum that had been subjected to treatment with MgS NPs had enhanced average root and shoot lengths, as well as accelerated germination. The results of this study suggest various promising opportunities for investigating the application of environmentally friendly nanotechnology to improve agricultural practices.
Focus on Physiotherapy for Infants in Norway, a Cross-sectional Study on Referral Practice, and planned Interventions.
Authors: Handeland Hege , Robinson Hilde Stendal 
Published: February 2024

Abstract
Background The Norwegian health care system has a mandatory program for close and systematically follow-up on all children, through the Maternity Care Units in the communities. This starts early in infancy and continue through childhood and the youth period. Additionally, some infants are referred to physiotherapists and manual therapists for several reasons. Little is known about who is referring them and the cause for the referral. In Norway, physiotherapists working with infants can be employed in Maternity Care Units or work in outpatient clinics both are within the community health care system.
The main purpose of the present study was to explore the referral practice of infants to physiotherapy and compare those treated by physiotherapists and manual therapists in primary health care in Norway. Furthermore, to describe the planned interventions.
Methods Cross-sectional study including 444 infants (age under 12 months) consulting either physiotherapists at maternity care units or manual therapists working in primary health care in Norway.
Results Median age (range) of the infants was 14 (1, 52) and 344 were born at due date. Most infants examined by a physiotherapist were referred from other health personnel at the same MCU. More of the referrals to manual therapists were due to parental concern. Age at examination was between week 1-12 for 42% of the participants. Infants with motor development problems were equally distributed, but all premature babies in the present study were referred to the physiotherapists. Concerning interventions, both physiotherapists and manual therapists planned to use advice, handling and stimulation. More of the physiotherapists reported to focus on advice related to motor development and the use of prone play.
Conclusion The infants in Norway are referred to physiotherapists/manual therapists for numerous reasons, and the distribution of diagnoses between the therapists seem reasonable. Infants are mostly referred by other health personnel but also because of parents’ own concern. Based on recommendations, some infants should be examined earlier.
The Relationship between the South China Sea Summer Monsoon Onset and Pacific Meridional SST anomalies
Authors: Zhao Yuxuan , Liu Ruoyu , Yao ChenWei , Li Shuai , Wu Zhiwei , Gong Zhiqiang , Feng Guolin 
Published: February 2024

Abstract
This study investigates the connection between key sea surface temperature (SST) anomalies in the North Pacific during boreal spring (February-April, FMA) and the subsequent South China Sea (SCS) summer monsoon (SCSSM) onset. The SST anomalies, similar to the Pacific meridional mode (PMM), referred to as the PMM + mode, is defined to study the new impact factor on the SCSSM onset. It is found that the (February-March-April, FMA) PMM + has a significant positive correlation with the subsequent May SCSSM onset date, which is weakly affected by the ENSO in previous winter. A strong positive PMM + in boreal spring can be maintained until May via atmosphere-ocean interaction. The cooling area over WNP would reduce in situ precipitation heating, thereby generating descending Rossby waves that reinforce the formation of the anomalous anticyclone over the SCS. As a result, the easterly winds and suppressed convection dominate the SCS, making the SCSSM tend to break out later than normal. In addition, the increase in anticyclonic vorticity anomalies also make the western North Pacific subtropical high (WNPSH) stronger and more western than the normal years, thereby blocking active convection west of the SCS. Given the weakened relationship between El Niño-Southern Oscillation (ENSO) and the SCSSM onset in recent years, the PMM + could be considered as a promising preceding signal for the SCSSM onset, which will be of great importance for the SCSSM prediction.
Pathogen elicitor peptide (Pep), Systemin, and their receptors in tomato: sequence analysis resolves standing disagreements about biotic stress signaling components
Authors: Zelman Alice Kira , Ma Yi , Berkowitz Gerald Alan 
Published: February 2024

Abstract

Peps are endogenous damage-associated polypeptides that evoke defense responses in plants. Like other damage-associated molecular patterns, Pep signals are transduced by receptors. PEPRs are the receptors that transduce Pep danger signals. This paper identifies new putative Peps in the Solanaceae (including Solanum spp., Nicotiana spp., and Petunia spp.) and Coffea and explores their properties. Using these newly identified Peps we derive sequence logos that present a refinement of the current understanding of the importance of specific residues in the Pep signaling molecules in Solanaceae, including several arginines, prolines that restrict peptide’s conformations, and C-terminal asparagine. We examine the degree of disorder in Pep, which is likely important to the mechanism of Pep perception. This work also calls into question some of the evolutionary relationships between Peps in Solanaceae and specific Arabidopsis Peps published in previous literature, culminating in a conclusion that SlPep should not be named SlPep6 due to the lack of conservation of protein sequences in AtPROPEP6 and SlPROPEP, and that SlPep probably does not have two receptors in tomato, based on phylogenetic analysis. Our analyses advance understanding of the Pep signaling system in Solanaceae.