bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a Quench and Partition Hot Stamping Process for a Third Generation 980 MPa Steel
Authors: Midawi Abdelbaset , Tolton Cameron , George Ryan , Narayan Advaith , Cheong Kenneth , Skszek Timothy , Butcher Cliff , Worswick Michael 
Published: April 2024

Abstract

This paper explores the potential to hot stamp third generation steels, in this case a 980 MPa grade, while retaining or improving on the as-received microstructure, in particular the retained austenite (RA) fraction, and corresponding strength and ductility. Three classes of thermomechanical processes were investigated using a thermo-mechanical simulator system (Gleeble 3500). The first two processing routes considered a quenching and partitioning process starting from either a fully austenitic condition prior to quenching, designated the “Q&P” process, or an inter-critical partial austenitic condition, designated the “IC Q&P” process. In the two simulated Q&P processes, the samples were quenched to a predetermined temperature and then immediately transferred to a partitioning furnace. In the third processing route, designated the “Q&T” process, the samples were partially austenitized and then quenched to room temperature, followed by a tempering process to restore ductility. The conventional Q&P process resulted in excessive martensite formation, with high hardness and low ductility. The Q&T process produced a tempered martensite microstructure with hardness equivalent to the as-received sheet but with lower elongation and bendability. The IC Q&P heat treatment process increased the amount of retained austenite compared to the as-received sheet which translated into a higher yield strength, total elongation, and v-bend fracture angle. The IC Q&P ultimate tensile strength was approximately 8% lower than that of the as-received material. A sensitivity study was conducted to evaluate the influence of variations (±25 °C) in the intercritical austenitization temperature, quench temperature, and partitioning temperature on the resulting microstructure and microhardness. The final mechanical properties were observed to be relatively independent of these process variations, indicating that the IC Q&P hot stamping process appears to be robust.
Surface Alterations on Agro-Waste Filler and their Effect on the Properties of Biodegradable Polybutylene adipate-co-terephthalate (PBAT)
Authors: Perumal Niresha , Sreekan Srimala , Hamid Zuratul Ain Abdul , Bhubalan Kesaven , Malik Muhammad Fadhirul Izwan Abdul , Iqbal Anwar 
Published: April 2024

Abstract

In this study, a novel approach to address the pressing issue of plastic waste in the biosphere that leads to ecological hazards and threatens living beings is presented. Herein, a set of biodegradable composites has been developed through the melt blending of polybutylene adipate-co-terephthalate (PBAT) and rice husk (RH), aiming to discover effective surface modification techniques for enhancing mechanical properties while maintaining biodegradability above 90%. This research studied the diverse surface treatment methodologies applied to raw RH, including alkaline treatment, acetylation, and silane treatment. The novelty of this study lies in its focus on evaluating how these treatments distinctly influence the mechanical properties and biodegradability of RH. Additionally, it seeks to understand the underlying mechanisms driving these performance changes. To further improve the compatibility between hydrophobic PBAT and hydrophilic RH, compatibilizers such as maleic anhydride (MAH) and dicumyl peroxide (DCP), were incorporated. A range of analytical techniques, including scanning electron microscopy (SEM) for morphological analysis, tensile testing to evaluate the mechanical properties of PBAT composites and soil burial test to investigate the biodegradability of the composites. The results indicate that the PBAT/Silane RH/MAH composite exhibited exceptional mechanical properties, with a tensile strength of 22.49 MPa, strain at break of 41.83%, and young modulus of 187.60 MPa. Furthermore, the composites developed exhibited 90% mass loss during a six-month soil burial test, confirming their remarkable biodegradability. The findings present an innovative and practical solution for utilizing RH waste in a wide range of applications, particularly in the production of molded products such as straws.
Optimizing Inpatient Care for Lung Cancer Patients with Immune Checkpoint Inhibitor- Related Pneumonitis Using a Clinical Care Pathway Algorithm
Authors: Brito-Dellan Norman , Franco-Vega Maria Cecilia , Ruiz Juan Ignacio , Lu Maggie , Sahar Hadeel , Rajapakse Pramuditha , Lin Heather Y. , Peterson Christine , Alviarez Daniel Leal , Altay Haider , Tomy Sophy , Manzano Joanna-Grace Mayo 
Published: April 2024

Abstract

Purpose
Immune checkpoint inhibitor-related pneumonitis (ICI-P) is a condition associated with high mortality, necessitating prompt recognition and treatment initiation. This study aimed to assess the impact of implementing a clinical care pathway algorithm on reducing the time to treatment for ICI-P.
Methods
Patients with lung cancer and suspected ICI-P were enrolled, and a multi-modal intervention promoting algorithm use was implemented in two phases. Pre- and post-intervention analyses were conducted to evaluate the primary outcome of time from ICI-P diagnosis to treatment initiation.
Results
Of the 82 patients admitted with suspected ICI-P, 73.17% were confirmed to have ICI-P, predominantly associated with non-small cell lung cancer (91.67%) and stage IV disease (95%). Pembrolizumab was the most commonly used immune checkpoint inhibitor (55%). The mean times to treatment were 2.37 days in the pre-intervention phase and, 3.07 days (p=0.46), and 1.27 days (p=0.40) in the post-intervention phases 1 and 2, respectively. Utilization of the immunotoxicity order set significantly increased from 0% to 27.27% (p = 0.04) after phase 2. While there were no significant changes in ICU admissions or inpatient mortality, outpatient pulmonology follow-ups increased statistically significantly, demonstrating enhanced continuity of care. The overall mortality for patients with ICI-P was 22%, underscoring the urgency of optimizing management strategies. Notably, all patients discharged on high-dose corticosteroids received appropriate gastrointestinal prophylaxis and prophylaxis against Pneumocystis jirovecii pneumonia infections at the end of phase 2.
Conclusion
Implementing a clinical care pathway algorithm for ICI-P management standardizes care practices and enhances patient outcomes, underscoring the importance of structured approaches.
The endocrine disrupting chemicals and obesity prevention - Scoping review
Authors: Amon Mojca , Kek Tina , Klun Irma Virant 
Published: April 2024

Abstract

Exposure to endocrine disrupting chemicals (EDCs) can result in alterations of natural hormones in the body. The aim of this review article is to gather current knowledge about EDCs and obesity in humans. We conducted an electronic literature search using PubMed platform for studies published between y. 2013-2023 on EDCs and obesity. A total of 12 studies met our inclusion criteria focusing on more prominent EDCs such as bisphenols, parabens, triclosan, and phthalates, and their association with obesity. A few experimental studies have been performed on association of obesity and EDCs in humans. Obesity was mostly related to EDCs such as bisphenols and phthalates, while less is known about the impact of parabens and triclosan. Series of negative physiological effects involving obesogenic, diabetogenic, and inflammatory mechanisms, epigenetic and microbiota modulations were related to prolonged EDCs exposure. More profound research of obesity with specific design regarding its role, genetic background for diabetes-related features, cardiometabolic risks and anthropometrical exceeds are needed to illuminate the effect of EDCs exposure on human populations in different environments.
Folate-conjugated organic CO prodrugs: Synthesis and CO release kinetic studies
Authors: Kondengadan Shameer M. , Bansal Shubham , Yang Xiaoxiao , Wang Binghe 
Published: April 2024

Abstract

Carbon monoxide (CO) is an endogenous produced molecule and has shown efficacy in animal models of inflammation, organ injury, colitis and cancer metastasis. Because of its gaseous nature, there is a need for developing efficient CO delivery approaches, especially those capable of targeted delivery. In this study, we aim to take advantage of a previously reported approach of enrichment-triggered prodrug activation to achieve targeted delivery by targeting the folate receptor. The general idea is to exploit folate receptor-mediated enrichment as a way to accelerate a biomolecular Diels-Alder reaction for prodrug activation. In doing so, we first need to find ways to tune the reaction kinetics in order to ensure minimal rection without enrichment and optimal activation upon enrichment. In this feasibility study, we synthesized two diene-dienophile pairs and studied their reaction kinetics and ability to target the folate receptor. We found that folate conjugation significantly affects the reaction kinetics of the original diene-dienophile pairs. Such information will be very useful in future designs of similar targeted approaches of CO delivery.
Electrophysiologic monitoring characteristics of the non-recurrent laryngeal nerve and radiologic evaluation of concurrent vascular anomalies
Authors: Sormaz İsmail Cem , İşcan Ahmet Yalın , Tunca Fatih , Köstek Mehmet , Aygün Nurcihan , Özel Tuğba Matlım , Soytaş Yiğit , Poyanlı Arzu , Sarı Serkan , Uludağ Mehmet , Şenyürek Yasemin Giles 
Published: April 2024

Abstract
Purpose
The objective of this study is to characterize the electrophysiological characteristics of nonrecurrent inferior laryngeal nerves(NRILN) that have been dissected with the assistance of intraoperative neuromonitoring(IONM), along with the concomitant vascular anomalies observed in patients with NRILN.
Methods
A retrospective analysis was conducted on 7865 patients who underwent thyroidectomy with IONM at three tertiary referral centers. The study included 42 patients in whom an NRILN was detected. IONM data and postoperative vocal cord(VC) examination were recorded in all patients. The absence of initial vagal EMG response and/or a short(< 3.5 ms) latency period during the initial vagal stimulation, or the inability to identify the RLN within the Beahrs triangle was considered highly suspicious for the presence of an NRILN. Postoperative cross-sectional imaging was performed in 36 out of 42 patients to asses any concurrent vascular anomalies
Results
The prevalence of NRILN was 0.53%.An NRILN was suspected due to EMG findings in 32(76%) and the inability to identify the RLN within the Beahrs triangle in the remaining 10(24%) patients. Transient VC paralysis occurred in one(2.4%) patient. Of the 36 patients with postoperative imaging, 33(91.4%) had vascular anomalies. All of the 33 patients had aberrant right subclavian artery and 13(39.4%) had also accompanying additional vascular anomalies.
Conclusions
NRILN is an anatomical variation that increases the risk of nerve injury. Observation of absent EMG response and/or a short latency period during the initial vagal stimulation facilitates the detection of an NRILN at an early stage of thyroidectomy in the majority of the patients.
Effects and safety of dulaglutide treatment on glucocorticoid-induced hyperglycemia in patients treated with CHOP therapy
Authors: Suyama Takuya , Shimizu Misayo , Kumiko Matsui , Shinagawa Atsushi , Tsuru Masatoshi 
Published: April 2024

Abstract

Purpose: Glucocorticoid-induced hyperglycemia is a serious adverse event of cyclophosphamide, doxorubicin, vincristine, and prednisolone (CHOP) therapy and requires chemotherapy dose reduction and drug interruption for remediation. Previous reports have showed that the glucagon-like peptide 1 receptor agonist dulaglutide significantly improves glycemic control in glucocorticoid-induced hyperglycemia. Thus, we aimed to investigate the efficacy and safety of dulaglutide for glucocorticoid-induced hyperglycemia in patients with non-Hodgkin lymphoma treated with CHOP therapy.
Methods: Ten newly diagnosed patients with non-Hodgkin lymphoma exhibiting glucocorticoid-induced hyperglycemia during initial cycle CHOP ± rituximab therapy were enrolled. Dulaglutide administration began during the second cycle. Glycemic control parameters (HbA1C, glycoalbumin, and fasting blood glucose) and adverse events were monitored alongside chemotherapy sessions.
Results: Of the 10 patients, one patient discontinued CHOP treatment due to progression, one patient due to chemotherapy intolerance, and eight patients were finally evaluated. HbA1c and glycoalbumin reduced significantly post-dulaglutide initiation, thereby suggesting improved glycemic control without adverse events, such as hypoglycemia or pancreatitis. Challenges in glycemic assessment due to simultaneous declines in hemoglobin levels alongside HbA1C were noted.
Conclusion: Dulaglutide exhibited promise in effectively managing glucocorticoid-induced hyperglycemia during CHOP therapy without serious adverse events.
The influence of cooperation and competition on true and false recognition
Authors: Li Yansong , Chen Xi , Elliot Andrew J. 
Published: April 2024

Abstract

Recent research has revealed that individuals’ true and false recognition is susceptible to social influence arising from competition. Although cooperation and competition represent two fundamental, opposing forms of social interaction, no work to date has examined how memory processes may be distorted by social influence arising from cooperation and whether these two interactive modes may exert similar or differential influences. To address these issues, participants randomly assigned to a competition, cooperation, or control group performed a pictorial variant of the Deese–Roediger–McDermott paradigm. We found that both the cooperation and competition groups showed significant false recognition reduction compared to the control group, while only the competition group showed true recognition reduction relative to the control group. Our signal-detection analysis further revealed that false recognition suppression driven by cooperation and competition is due to a combination of both a reduction in encoded memory information for critical lures and an increase in memory monitoring as evidenced by decreased sensitivity (d') and elevated response bias (C); competition-driven true recognition reduction, however, is due to enhanced monitoring as indexed by increased C. These results provide compelling evidence that cooperation and competition suppress participants’ false recognition by impairing relational encoding and by enhancing retrieval-based monitoring, while competition reduces participants’ true recognition by increasing retrieval-based monitoring. Collectively, these findings lay the foundation for deepening our understanding of how memory is susceptible to social influence arising from interactive contexts.
Physical exercise and externalized behavior problems of left-behind junior middle school students: the chain mediating role of peer relationship and self-esteem
Authors: Guo Kelei , Guo Feng 
Published: April 2024

Abstract

Objective: To explore ways to improve the externalizing behavior problems of left-behind junior middle school students from the perspective of physical exercise, to understand the relationship between physical exercise and the externalizing behavior of left-behind junior middle school students, and to deeply analyze the role of peer relationship and self-esteem in the relationship between physical exercise and the externalizing behavior of left-behind junior middle school students.
Methods: 1292 left-behind junior high school students were surveyed by physical exercise scale, peer relationship scale, self-esteem scale and externalized behavior problem scale. For data analysis, Pearson correlation analysis, structural equation model test and bias correction percentile guide method were carried out successively.
Results: (1) Physical exercise was negatively correlated with externalizing behavior problems (r=-0.19), and the direct path between physical exercise and externalizing behavior problems was not significant (β= -0.06, p > 0.05, CI[-0.13, 0.01]; (2) Physical exercise was positively correlated with peer relationship (β = 0.51, p < 0.01, CI[0.45, 0.56]) and self-esteem (β = 0.28, p < 0.01, CI[0.22, 0.34]); Positive correlation between self-esteem and peer relationship (beta = 0.54, p < 0.01, CI [0.48, 0.60]) and negatively correlated with externalizing behavioral problems (beta = 0.09, p < 0.05, CI (0.18, 0.01)); Negatively correlated with self-esteem and externalizing behavioral problems (beta = 0.12, p < 0.05, CI (0.20, 0.03)); (3) Peer relationship and self-esteem play a significant mediating role between physical exercise and externalizing behavior problems. The mediating effect consisted of three pathways: physical exercise → peer relationship → externalizing behavior problems (mediating effect value 0.05), physical exercise → self-esteem →externalizing problem behavior (mediating effect value 0.03), physical exercise → peer relationship → self-esteem →externalizing behavior problems (mediating effect value 0.03).
Conclusion: (1) Physical exercise is significantly negatively correlated with externalizing behavior problems; (2) Peer relationship and self-esteem have independent mediating effects between physical exercise and externalizing behavior problems; (3) Peer relationship and self-esteem play a chain mediating role between physical exercise and externalizing behavior problems. This study explains the relationship between physical exercise and externalizing behavior problems, which has important practical significance for improving the externalizing behavior problems of junior high school students.
Predictive modeling and correlation between the sensory and physicochemical attributes in ‘Rama Forte’ astringent persimmon fruit
Authors: Amorim Catherine , Filho Elenilson Godoy Alves , Garruti Deborah Santos , Bender Renar João , Antoniolli Lucimara Rogéria 
Published: April 2024

Abstract
Correlations between quality attributes determined by destructive and non-destructive analysis methods are being investigated to enable quantification and prediction of internal quality characteristics without the need for destructive techniques. Our study correlated sensory and physicochemical attributes of 'Rama Forte' persimmons treated for astringency removal with 70 % CO2 for 18 hours or 1.70 mL Kg-1 ethanol for 6 hours, to establish predictive models for destructive analytical methods based on non-destructive ones. Physicochemical and sensory analyses were carried out daily. Principal Component Analysis (PCA), Partial Least Squares Discriminant (PLS-DA) and regression analysis by Partial Least Squares (PLS) were applied to obtain prediction models. Two models based on fruit translucency (non-destructive) were obtained for persimmons treated with CO2, one for flesh firmness, and the other for color index prediction. A model based on sensory astringency (destructive) was developed to predict the astringency index for ethanol treatment. The models show a reliable fit, particularly in predicting flesh firmness by using the translucency of 'Rama Forte' fruit treated with CO2. Using the translucency scale and the prediction model, it is possible to establish the maximum period for logistic steps to reduce losses and waste in the persimmon chain. The low correlation between sensory astringency and proanthocyanidin content points to possible other compounds in the perception of astringency. Identifying these compounds will enable advances in the development of predictive models for quality attributes and shelf life of astringent persimmons.
RETRACTED: Efficient commercial-like fast charging supercapacitor device utilizing N,S- doped carbon nanosheets derived from a Cu 2 Fe(CN) 6 /Cu 7 S 4 /Cu 1.8 S/carbon nanocomposite via a layered nanohybrid precursor
Authors: Ghotbi Mohammad Yeganeh , Sikiru Surajudeen , Rajabi Armin , Soleimani Hassan , Kou Lingjiang , Ansari M.N.M. , Ramachandaramurthy Vigna K. 
Published: April 2024

Abstract

The authors have requested that this preprint be removed from Research Square.
Global Trends and Emerging Hotspots in Cancer-Related Fatigue: A Comprehensive Bibliometric and Visual Analysis in Nursing Research
Authors: YILDIRIM Yasemin , SEZGIN Gökhan , KOCAKOÇ Ipek DEVECI 
Published: April 2024

Abstract

Purpose:The aim of the study was to examine the hotspots and global trends of cancer-related fatigue in nursing research.
Methods:We searched the Web of Science database for relevant articles concerning cancer-related fatigue in nursing research, published between 1997 and 2023. Data collected include: the number of publications, authors, journals, countries, institutions, keywords. VOSviewer and CiteSpace were used to conduct the bibliometric study and visualise the analysis.
Results:A total of 405 publications were included. The number of publications on cancer-related fatigue in nursing research shows a fluctuating upward trend. The journal of Cancer Nursing published the most articles on cancer-related fatigue in nursing research (66 publications). The United States of America published the most articles (215 published). The research institution with the highest number of publications is the University of California in San Francisco. According to word cloud of keyword, we believe that “Quality of Life”, “Pain”, “Breast Cancer” and “Depression” may be new research hotspots in the field of cancer-related fatigue in nursing research.
Conclusion:This study describes the research status of cancer-related fatigue in nursing research over the past 26 years. Our findings illuminate the increasing interdisicilinary interest in cancer-related fatigue, signaling a shift towards more holistic and patient-centered research approaches in nursing, with significant potential to inform future clinical practices and policies.
Spatial Data Analysis on On-Demand Cab Services Using Spark
Authors: Poritigadda Likhitha , Fathimabi Sk. , Kokkiligadda Manohar Raj 
Published: April 2024

Abstract

Spatial data pattern analysis is a technique used to analyze large amounts of spatial-temporal data generated by on-demand cab services such as Uber, Lyft, and Grab. This type of data includes information on the pickup and drop-off locations of riders, the trajectories of drivers, and the times of day when demand for cabs is highest. By analyzing this data using spatial temporal pattern analysis techniques, on-demand cab services can gain insights into rider demand patterns, optimize driver allocation, improve pricing strategies, and enhance overall system efficiency. Apache Spark is a versatile and high-speed open-source distributed computing framework for big data processing. With in-memory capabilities and a unified API, it supports batch processing, interactive queries, machine learning, and real-time streaming, making it an ideal choice for data analytics. In the realm of spatial data analysis with Spark, data preprocessing and establishing a Spark session are crucial initial steps. This includes cleaning, transforming datetime data, and handling missing values. Once preprocessed, the data is loaded into Spark, enabling diverse spatial analysis techniques. These techniques include spatial clustering and trajectory analysis, helping uncover valuable insights from geospatial data. Large-scale spatial data analysis benefits from advanced indexing techniques like R-tree, Quad Tree, and KD Tree. These methods streamline query handling and visualization through interactive maps, enhancing data interpretation. In our analysis, we've measured retrieval times for these indexing strategies, with R-Tree at 2.18 seconds, Quad Tree at 2.23 seconds, and KD Tree as the fastest at 1.94 seconds. These findings offer insights into the efficiency and performance of each approach, aiding in informed decision-making.