bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pembrolizumab plus Chemotherapy in Advanced Endometrial Cancer: a cost-effectiveness analysis
Authors: Zhao Xinqiang , She Longjiang , Liu Xiaoning , Bi zhenggang 
Published: December 2023

Abstract
Objectives
Recently, NRG-GY018 clinical trial have demonstrated that adding pembrolizumab to chemotherapy led to significantly longer progression-free survival than chemotherapy alone in the first-line treatment of advanced endometrial cancer (aECs). This analysis aimed to estimate the cost-effectiveness of pembrolizumab plus chemotherapy (PC) as the first-line treatment for aECs in the US and China.
Methods
A Markov model based on the data from NRG-GY018 trial was established to estimate the cost and efficacy of pembrolizumab plus chemotherapy and chemotherapy groups for aECs in mismatch repair-proficient (pMMR) and mismatch repair–deficient (dMMR) populations. The main outcomes were incremental cost-effectiveness ratios (ICERs), incremental monetary benefit (INMB), and incremental net-health benefit (INHB). Direct medical costs and utility values were collected from the government databases, local databases, and published literatures. The robustness of the model was assessed using one-way and probabilistic sensitivity analyses.
Results
Treatment with PC gained an additional 1.06 QALYs (1.34 LYs) in pMMR and 4.10 QALYs (5.14 LYs) in the dMMR population. In the US, the ICERs of PC compared to chemotherapy were 346,720 $/QALY in pMMR and 125,006 $/QALY in dMMR patients, respectively. In China, the ICERs of PC compared to chemotherapy were 176,313 $/QALY and 71,645 $/QALY in pMMR and dMMR populations. The results of sensitivity analyses supported the robustness of our models.
Conclusions
For patients with aECs, PC was cost-effective compared with chemotherapy in the first-line treatment for dMMR populations in the US. However, to reach the traditional cost-effectiveness threshold in China, a price reduction of pembrolizumab is required.
Age-Specific Association Between Meal-Skipping Patterns and the Risk of Hyperglycemia in Korean adults: a national cross-sectional study using the KNHANES data
Authors: Kang Yeonji , Kang Minji , Lim Hyunjung 
Published: December 2023

Abstract
Background
Glucose metabolism regulation is influenced by age and meal skipping, although research on their interplay with hyperglycemia remains limited. This study aims to explore the intricate relationship between meal-skipping patterns and hyperglycemia risk across distinct age groups in South Korean adults.
Methods
Utilizing data from the Korea National Health and Nutrition Examination Surveys (KNHANES) conducted from 2013 to 2020, comprising 28,530 individuals aged 19 years and older, this study employed multivariate logistic regression models to examine the associations between meal-skipping patterns and the risk of hyperglycemia.
Results
Meal-skipping patterns were categorized into three groups: no skipping (NS), skipping breakfast (SB), and skipping dinner (SD). Age groups were defined as “young” (aged 19–44), “middle-aged” (aged 45–64), and “elderly” adults (over 65 years old). Among “young” adults, SB was associated with a 1.32-fold higher risk of hyperglycemia (OR = 1.32, 95% CI = 1.14–1.53) compared to NS. Conversely, in “elderly” adults, SD was linked to a 0.48-fold reduced risk (95% CI = 0.28–0.83) when compared to NS. Additionally, we observed that the Korean Health Eating Index (KHEI) scores, representing the quality of diet on a scale of 0 to 100, were consistently lower in SB compared to NS across all age groups. Intriguingly, specifically among the “elderly” group, this score was higher in SD compared to NS (p < 0.001).
Conclusions
This study demonstrates age-specific variations in the association between meal-skipping patterns and the risk of hyperglycemia.
Bacopa monnieri extract (CDRI-08) recovers recognition memory impairment by upregulation of GluR2 AMPA receptor subunit expression and reduced methylation of its cognate promoter in the hippocampus of rotenone-induced Parkinson’s disease mouse model
Authors: Chandra Garima , Prasad S. 
Published: December 2023

Abstract

Parkinson's disease (PD), an age-dependent neurodegenerative movement disorder, is attributed to the lossof dopaminergic neurons in the striatal SNPc, abnormal α-Synuclein accumulation that leads to complex movement disorders, cognitive dysfunction, and dementia in later stage, however, its precise molecular underpinning is not well known. In the proposed study, we aim to explore the effects of PD on the expression of the synaptic plasticity associated with AMPA receptor subunit GluR2, its epigenetic regulation, and investigate the possible therapeutic role of a well-characterized extract of an ancient Indian medicinal plantBacopa monniericalled CDRI-08 on the PD and memory impairment in rotenone-PD mouse model as presently there is no successful treatment available for curing the PD-induced pathologies. Our immunoblotting and qPCR data showed a significant upregulation of the GluR2 expression in the hippocampus of rotenone-treated mice as compared to the vehicle control group. Our MeDIP-qPCR data revealed that the increased GluR2 expression was significantly correlated with a decline in its promoter CpG methylation in the hippocampus of rotenone-treated mice. CDRI-08 treatment to the rotenone-treated mice significantly lowered the PD pathologies, and GluR2 expression with a subsequent increase in the GluR2 promoter methylation towards the control values in the hippocampus. The current study suggests one of the precise molecular events underlying PD, its effects on memory impairment, and the neurotherapeutic potential of Bacopa monnieri extract, CDRI-08, which might be useful for the treatment of PD-induced movement and cognitive impairments.
Transcriptome analysis of Large yellow croaker (Larimichthys crocea) at different growth rates
Authors: Gao Yang , Huang Xuming , Liu Yanli , Lv Huirong , Yin Xiaolong , Li Weiye , Chu Zhangjie 
Published: December 2023

Abstract

The unsynchronized growth of large yellow croaker (Larimichthys crocea), which affects its growth efficiency, has become one of the problems for farmers. In present study, the juvenile large yellow croaker stock was sorted by size after culturing in offshore cage for 4 months, then individuals of fast-growing group (FG) and the slow-growing group (SG) were sampled respectively. High-throughput RNA-Seq was performed to explore the physiological mechanisms that influence its growth rate. Transcriptome analysis revealed 382 differentially expressed genes (DEGs), including 145 up-regulated genes and 237 down-regulated genes, compared with SG group. GO and KEGG enrichment analysis showed that DEGs was mainly involved in signal transduction pathway and biochemical metabolic pathway. The results of RT-PCR shows that igf1, fgf19, idh1 and me1 were up-regulated in fast-growing fish, while fgf1,fgfr1 and gadd45b,g were down-regulated. Inclusion, the different growth rate of large yellow croaker is closely related to cell proliferation, metabolic rate of organism and immune regulation.These findings provide a new way to understand the molecular mechanism and regulation of the growth of large yellow croaker and enrich the understanding of growth-related genes.
Quality of Life of Caregivers of Cancer Patients: A Cross-Sectional Study
Authors: Alghamdi Wardah A. , Almatrafi Montaha A. , Asiri Rimas A. , Almuraee Lama A. , Alsharif Sarah M. , Makhdoum Faizah M. , Alghamdi Malak A. , Althubaiti Alaa M. , Alghamdi Majed A. 
Published: December 2023

Abstract
Background
Cancer is a chronic and serious disease that has a wide range of effects on patients. Some of these effects extend to family members and primary caregivers (PCs), thereby impacting their quality of life (QOL). The aim of this study is to evaluate the QOL of PCs of patients with cancer and to investigate the sociodemographic and other factors that impact PCs’ QOL.
Methods
This cross-sectional study was carried out at the Princess Noura Oncology Center (PNOC), King Abdulaziz Medical City, Jeddah. A total of 235 PCs were included in this study. A short-form health survey, the SF-36, which includes eight domains, was used to measure the QOL of the patients’ caregivers. The relationship between the QOL of PCs and the characteristics of the patients and PCs was examined.
Results
The PCs’ QOL was associated with several variables. Results of the multiple regression analysis showed that age, sex of the patient and caregiver, and classification of cancer were independently and significantly associated with QOL. Older, female, and hematological patient’s PCs had lower QOL of life; whereas, PCs caring for a female patient experienced a better QOL of life.
Conclusion
These findings highlight the essential aspects of the QOL of Saudi caregivers and their influencing factors. To better understand the implications of these factors, future studies are required to demonstrate the effects of patient- and disease-related factors on PCs’ QOL.
An Efficient Signed SSL/Tls-Based Data Security in the Cloud Using Ltt-Ddbm and TECC
Authors: TIWARI CHANDRA Shekhar , Jha Vijay Kumar 
Published: December 2023

Abstract
Cloud data security is a set of strategies to secure data from security threats. Nevertheless, the prevention of multiple cloud security attacks has been ignored by the previous works. To overcome this issue, this paper proposes an efficient Signed Secure Socket Layer/ Transport Layer Security (SSL/TLS) based Data Security in the cloud using Log Triangular Transfer function based Deep Drop Boltzmann Machines (LTT-DDBM) and Rivest, Shamir Adleman Session Key-based Twisted Edwards Curve Cryptography (RSASK-TECC) framework with Digital Signature Algorithm (DSA). The process is initiated by the web owner by sending a request to the SSL/TLS Certificate Authority Centre (CAC) to establish a website. The web owner will upload the php files to the web server if the CAC requirements are satisfied. Afterward, the data owner logs in to the browser. Thereafter, the signed SSL/TLS certificate is forwarded to the CAC for attack detection and verification by using LTT-DDBM. If the verification is successful, a public key is generated along with the signed SSL/TLS certificate. Nevertheless, a warning message will be generated if the verification fails. After successful verification, a session key is generated by the browser that is further utilized for encrypting the data. Then, the encrypted data along with the session keys undergo further encryption utilizing the public key via Advanced Encryption Standard Session key-based Twisted Edwards Curve Cryptography (AESS-TECC) for enhancing data security. The data user checks hash codes for data integrity before downloading. Data access is granted if the codes match; otherwise, it is declined. As per the experimental analysis, the proposed mechanism is superior to the prevailing approaches.
Enhancing AISI D2 Steel Milling: Balancing Surface Quality and Tool Life
Authors: González Luis Wilfredo Hernández , Ahmed Yassmin Seid , Sosa Dagnier A. Curra , Rodríguez Roberto Pérez 
Published: December 2023

Abstract

The aspects of cutting tool life and the quality of machined workpiece surfaces are pivotal considerations within field of machining processes. While a thorough review of the existing literature has revealed a multitude of investigations about the milling of steels frequently employed in cold work tool manufacturing, there is a conspicuous lack of experimental studies that have effectively determined the optimal values for cutting speed and feed. This determination is imperative to ensure the concurrent minimization of surface roughness and maximization of the tool life. Hence, the primary objective of this research endeavor is to discern the most finely tuned parameters conducive to milling AISI D2 steel with a milling cutter equipped with GC1130 coated inserts to optimize the interdependent variables. The analytical process demanded the development of multiple regression models, the validity of which was assess through an examination of residual graphs. Also, an analysis of variance was conduct, shedding light on their individual and collective impacts. Besides, the relationship between the cutting parameters and the resultant output factors was meticulously examine through the employment of response surface plots. The quest for a multi-faceted optimization solution, the desirability technique was harness. In summary, the comprehensive analysis conducted in this study substantiates the assertion that a judiciously selected combination of low cutting speed and high feed rate has a pronounced positive impact on the specified output variables. This collective enhancement attains an admirable level of desirability, reflecting both acceptable and excellent outcomes across the myriad facets of the milling operation.
Effective utilisation of Geospatial Data for peer-to-peer communication among autonomous vehicles using Optimized Machine learning algorithm
Authors: Aruna T M , Kumar Piyush , Srini N N , Divyaraj G N , K Asha , Thirumalraj Arunadevi , E Naresh 
Published: December 2023

Abstract
The transportation infrastructure of the future will be based on autonomous vehicles. When it comes to transportation, both emerging and established nations are keen on perfecting systems based on autonomous vehicles. Transportation authorities in the United States report that driver error accounts for over 60% of all accidents each year. Almost everywhere in the world is the same. Since the idea of self-driving cars involves a fusion of hardware and software. Despite the rapid expansion of the software business and the widespread adoption of cutting-edge technologies like AI, ML, Data Science, Big Data, etc. However, the identification of natural disasters and the exchange of data between vehicles present the greatest hurdle to the development of autonomous vehicles. The suggested study primarily focused on data cleansing from the cars, allowing for seamless interaction amongst autonomous vehicles. This study's overarching goal is to look at creating a novel kind of Support Vector Machine kernel specifically for P2P networks. To meet the kernel constraints of Mercer's theorem, a newly proposed W-SVM (Weighted-SVM) kernel was produced by using an appropriately converted weight vector derived through hybrid optimization. It would be spectacular to combine the Grey Wolf Optimizer (GWO) with the Elephant Herding Optimization (EHO) for hybridization, thanks to the former's strengths and the latter's talents. Combining the GWO algorithm with the EHO algorithm increases its convergence speed, as well as its exploitation and exploration performances. Therefore, a new hybrid optimization approach is proposed in this study for selecting weights in SVM optimally. When compared to other machine learning methods, the suggested model is shown to be superior in its ability to handle such issues and to produce optimal solutions.
Proliferating and migrating effects of regenerating sea anemone Aulactinia stella cells- derived exosomes on human skin fibroblasts
Authors: Jafari Nazanin , Afshar Alireza , Zare Afshin , Salehpour Aria , Hashemi Alireza , Zendehboudi Fatemeh , Farrar Zohreh , Mahdipour Mahdi , Khoradmehr Arezoo , Jahanfar Firouzeh , Mussin Nadiar M. , Kaliyev Asset A. , Sultangereyev Yerlan , Kameli Ali , Azari Hossein , Nabipour Iraj , Rahmanifar Farhad , Shirazi Reza , Zhilisbayeva Kulyash R. , Tamadon Amin 
Published: December 2023

Abstract
This study evaluated the possible regenerative effects of proliferating sea anemone cells-derived exosomes on human foreskin fibroblasts (HFF). Water-based extracts from sea anemone Aulactinia stella tissue 48 h after regeneration was collected. The sea anemone, species were wounded from the middle of the column and the exosomes were extracted from 0 h, 24 h, 48 h, 72 h, and 96 h after wound induction. The extract and exosomes were separately analyzed on HFF using MTT for proliferation and in vitro wound healing for cell migration test. Additionally, an in-silico analysis was performed to investigate the protein-protein docking of regenerative Cnidarian exosomes protein contents with proliferation and migrations receptors present in HFF. The MTT showed extract or exosomes of sea anemone after 48 h of regeneration process had proliferation effects on HFF cells. At the cell migration test, both the extract and exosome had significant migratory effects on HFF cells after wound induction. Furthermore, our in-silico analysis identified potential binding affinities between the protein content of regenerative exosomes and receptors involved in HFF. Taken together, an optimized concentration of exosomes isolated from sea anemone A. stella could affect HFF regeneration and migration and accelerate wound healing in vitro.
Delineation of Fresh Groundwater Potentiality Zones in Saline Coastal Aquifers, Southwest Bangladesh using Remote Sensing and GIS Approaches
Authors: Howlader Rakib , Chowdhury Md Mahabub Arefin , Jahan Chowdhury Sarwar , Hossain Md. Arif , Rahaman Md. Ferozur , Ghose Bakul Kumar , Islam Monirul 
Published: December 2023

Abstract
The southwestern coastal zone in Bangladesh faces freshwater scarcity as aquifers are more vulnerable to seawater intrusion resulting increase its salinity level. But here fresh groundwater resource badly needed for drinking, agricultural, and industrial uses to sustain livelihood. The present study has made attempt to demarked available fresh groundwater zones in Khulna district in the southwestern coastal zone using multi-criteria decision making (MCDM) tool and analytical hierarchy process (AHP) with remote sensing (RS) and GIS approach. To delineate fresh groundwater potential zones, twelve thematic parameters such as groundwater salinity, groundwater electrical conductivity, groundwater chloride, rainfall, concentration of soil salinity, land slope, geomorphology, surface geology, land use and land cover, drainage density, lineament density, topographic wetness index have processed utilizing ArcGIS overlay analytic tool. Accordingly, the area has classified as very good [18 km2 (0.52%)] - safe for drinking and agriculture; good [858 km2 (25%)] - useful only for agriculture purposes; low [354 km2 (11%) - use for irrigation of certain high salinity tolerate crops having high risk for human consumption; and very low [2148 km2 (64%)] - unsuitable to use due to seawater intrusion or high salinity of the total area. The salinity-prone zone covers 75% of the total area requires especial management approach. Finally, findings will aid in identification of fresh groundwater potential zone for human consumption and agriculture in salinity effected coastal zone of the country to ensure sustainable groundwater use and extraction in this coastal areas, and findings of the present study can be utilized as a guide for addressing groundwater issues for this region.
Ventilated Surface-based Lattice Structures Designed for Polymer Powder-Bed Fusion Process
Authors: Verma Saurav , Kumar Ajeet , Jeng Jeng-Ywan 
Published: December 2023

Abstract
This work addresses the issues of entrapment of polymer powder and the post-processing powder removal challenges in surface-based lattice structures 3D printed with powder-bed based additive manufacturing (AM) technology. A ventilation design approach has been proposed to enhance the powder removability from the widely researched three-dimensional gyroid and two-dimensional honeycomb lattice structure. The flow characteristics and mechanical behaviour of the designed lattices were analysed using computational fluid dynamics (CFD) and finite element analysis (FEA), respectively, followed by experimental powder flow and compression testing. HP jet fusion 4200® industrial 3D printer was used for printing the lattice structures for experimental validation. The results showed a 65–85% improvement in powder flowability, with a minimum to severe reduction in mechanical strength of different lattice structures. The study can be applied to designing products with multi-functional properties with surface-based lattice structures by employing the principle of design for additive manufacturing and post-processing (DfAM&PP).
A Framework of Specialized Knowledge Distillation for Siamese Tracker on Challenging Attributes
Authors: Li Yiding , Shimada Atsushi , Minematsu Tsubasa , Tang Cheng 
Published: December 2023

Abstract

In recent years, Siamese network-based trackers have achieved significant improvements in real-time tracking. Despite their success, performance bottlenecks caused by unavoidably complex scenarios in target-tracking tasks are becoming increasingly non-negligible. For example, occlusion and fast motion are factors that can easily cause tracking failures and are labeled in many high-quality tracking databases as challenging attributes. In addition, Siamese trackers tend to suffer from high memory costs, which restricts their applicability to mobile devices with tight memory budgets. To address these issues, we propose a Specialized teachers Distilled Siamese Tracker (SDST) framework to learn a student tracker, which is small, fast, and has enhanced performance in challenging attributes. SDST introduces two types of teachers for multi-teacher distillation: general teacher and specialized teachers. The former imparts basic knowledge to the students. The latter is used to transfer specialized knowledge to students, which helps improve their performance in challenging attributes. For students to efficiently capture critical knowledge from the two types of teachers, SDST is equipped with a carefully designed multi-teacher knowledge distillation model. Our model contains two processes: general teacher-student knowledge transfer and specialized teachers-student knowledge transfer. Extensive empirical evaluations of several popular Siamese trackers demonstrated the generality and effectiveness of our framework. Moreover, the results on Large-scale Single Object Tracking (LaSOT) show that the proposed method achieve compression rates of up to 8 × and framerates of 252 FPS while achieving a significant improvement of more than 2% – 4% in most challenging attributes. And obtaining outstanding accuracy on all challenging attributes.
Reflection and Transmission of Transverse waves at a corrugated interface of two functionally graded piezoelectric half-spaces
Authors: Hemalatha K , Kumar S 
Published: December 2023

Abstract
At the corrugated interface of two different functionally graded piezoelectric materials, reflection and transmission coefficients resulting from incident at the corrugated interface of plane transverse waves are considered. Both piezoelectric materials inhomogeneity is regarded as exponential. Analytically, the solutions are derived for half-spaces. The reflection coefficient and transmission coefficient for the first-order estimate of corrugation are calculated using Rayleigh’s approximation approach. Furthermore, for a specific kind of interface, the reflected coefficient and transmitted coefficient of regularly and irregularly reflected and transmitted waves are determined in closed form. For numerical interpretation of the results, a sets of piezoelectric materials such as PZT-5H ceramic and BaTiO 3 ceramic are considered. The reflection coefficient and transmission coefficient expressions show that they depend heavily on material coefficients with inhomogeneity characteristics, as well as the known wave propagation components, such as the corrugation’s wavelength, and amplitude of corrugation. Graphs representing the results were produced using Mathematica 7 to present the findings. The transmission coefficients and reflection coefficients are graphed versus the incidence angle.