bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the theranostic potential of carbon dots/Fe3 O4 superparticles for tumor-associated macrophage targeting and repolarization in colorectal cancer therapy via JAK/STAT and ERK/MAPK pathways
Authors: Miao Yingying , Li Xiaoyu , Zeng Qingsen , Zhang Kai , Liu Lin , Yang Bai , Zhang Butian 
Published: December 2024

Abstract

Colorectal cancer (CRC) immunotherapy has shown remarkable effects in only a small subset of patients, largely due to the influence of tumor-associated macrophages (TAMs), which play a key role in shaping the tumor immune microenvironment. In vivo dynamic imaging of TAMs is critical for personalized immunotherapy, as it enables the identification of patients likely to benefit from treatment and allows for real-time monitoring of therapeutic efficacy. Additionally, reprogramming the polarization state of TAMs from the pro-tumoral M2 phenotype to the anti-tumoral M1 phenotype represents a promising strategy to enhance immunotherapy outcomes. To address these challenges, we developed mannose-coated carbon dots/Fe3O4 superparticles (Mannose-DSPE-PEG@Fe3O4/CDs) specifically designed to target TAMs. These superparticles combine the NMR-enhanced imaging capabilities of Fe3O4 with the red fluorescence properties of carbon dots, enabling precise and non-invasive TAM imaging. Furthermore, Mannose-DSPE-PEG@Fe3O4/CDs effectively reprogram TAMs from the M2 to M1 phenotype via the JAK/STAT and ERK/MAPK pathways, thereby reshaping the tumor immune microenvironment and exerting potent anti-tumor effects. In summary, this study demonstrates the potential of Mannose-DSPE-PEG@Fe3O4/CDs as a theranostic nanoplatform for the monitoring and modulation of TAMs, offering a novel strategy for improving immunotherapy outcomes in colorectal cancer.
RETRACTED: Characterization of Clinical Risk Factors for Enhanced Minimal Residual Disease Monitoring in Resected Early-Stage Non-Small Cell Lung Cancer
Authors: Shi Yunfei , Lei Youming , Liu Yinqiang , Zhao Wei , Yang Qingmei , Zhang Fujun , Bian Li , Luo Xiaoyu , Luo Kang , Li Haoyu , Liu Fanghao , Wang Tingguang , Liu Yong , Ma Ya , Yin Jiani C. , Lv Guoli , Duan Jin 
Published: December 2024

Abstract

The authors have requested that this preprint be removed from Research Square.
Condensed Low-dose Total Skin Electron Beam Therapy for Mycosis Fungoides: an institutional retrospective review and subgroup analysis of patients with Large Cell Transformation
Authors: Cappelli Louis , Cappelli Megan , Haldar Nilanjan , Paul Tiara , Mandel Jenna , Zhan Tingting , Nikbakht Neda , Shi Wenyin 
Published: December 2024

Abstract

Introduction: Low-dose total skin electron beam therapy (TSEBT) is an effective treatment option for mycosis fungoides (MF) with proven palliative effects and reduced toxicity. Presented is an institutional analysis of survival/response rate and quality of life for MF patients with subgroup analysis of those possessing pathologic large cell transformation (LCT). Methods: This is a single institutional retrospective review of patients with mycosis fungicides treated from 2014–2023 with low-dose TSEBT. All patients received 12 Gy in 6 fractions every other day with the modified Stanford technique, with boosts to shadowed sites between treatments, completed in 2 weeks. Outcomes evaluated included clinical response, duration of and time to response, patient-reported quality of life, and physician-scored disease burden. Results: Forty-six patients were included in the study, 28 male and 18 female, with a median age 66.5 (range 32.7–90.6). Stage IB was most common at the time of TSEBT (41.3%). Median follow up was 44.5 months. The overall response rate was 91.3% (52.2% partial response, 19.6% complete and near complete response). The median duration of response was 8.2 months (range, 6.1–28.7), and the median time to best response was 3.5 months (range, 2.7–5.6). Quality of life (QOL) and disease burden continued to show significant benefit after TSEBT (p < 0.001). In a subgroup analysis, 18 patients (39.1%) were found to have large cell transformation (LCT) at diagnosis. LCT was associated with higher presenting stage prior to TSEBT (p = 0.016) and a better response to treatment (p = 0.040). However, median duration of response was only 7.4 months in the patients with LCT vs 39.4 months in the patients without (p = 0.003). Conclusions: Condensed Low-dose TSEBT is a convenient treatment with favorable clinical outcomes and low toxicities in patients with mycosis fungoides. Patients with LCT may have shorter duration of treatment response. Further studies are warranted to validate this finding.
Healthy Plant-based Diet Is Associated with a Reduced Risk of Inflammatory Bowel Disease: A Large-scale Prospective Analysis in the UK Biobank
Authors: Jin Zhenhe , Zhou Tianyu , Ye Kexin , Jiang Wenxi , Liu Zhaoxue , Luo Linwen , Wang Yize , Shen Zhe 
Published: December 2024

Abstract

Background
The role of plant-based diets in inflammatory bowel disease [IBD] risk requires large-scale research. This study aimed to evaluate the associations between the Plant-Based Dietary Index [PDI], healthy PDI [hPDI], and unhealthy PDI [uPDI] with IBD risk, and explore potential mediators.
Methods
We conducted a prospective cohort study with 143,434 UK Biobank participants, using 24-hour dietary recall to calculate PDI, hPDI, and uPDI. Cox regression assessed associations with IBD risk, while decomposition and mediation analyses evaluated dietary components and serum biomarkers.
Results
Followed until April 2024, 1,117 participants developed IBD [795 UC, 322 CD]. We found inverse associations between hPDI and UC risk [HR = 0.92, 95% CI = 0.86–0.99, P = 0.034] and CD risk [HR = 0.86, 95% CI = 0.77–0.96, P = 0.007], and between PDI and CD risk [HR = 0.86, 95% CI = 0.77–0.96, P = 0.009]. An positive association was found between uPDI and CD risk [HR = 1.15, 95% CI = 1.02–1.29, P = 0.022]. Fruits and vegetables explained partial association between PDI, hPDI, uPDI, and CD risk. Neutrophils and white blood cells were key mediators in the association between hPDI and UC risk, while CRP was a major mediator in the associations between hPDI and uPDI with CD risk.
Conclusions
The healthy plant-based diet is inversely associated with UC and CD risk, while the unhealthy plant-based diet is positively associated with CD risk. These associations may be partly explained by fruit and vegetable intake, with blood biomarkers, including inflammatory markers, lipid metabolism, and liver and kidney function, serving as partial mediators.
Hybrid Snooker Artificial Protozoa Optimization-based Authentication Protocol for Secure Edge Augmented Reality
Authors: Saurav· Swapnil , Siva D. V.N. , Sudeep KS 
Published: December 2024

Abstract

In edge computing environments for Augmented Reality (AR) applications ensures smooth and secure communication between users and infrastructure. User experience and system integrity has facing issues in authentication systems, like computational burden, vulnerability and delays to attacks. To tackle all these issues, this research introduced a new anonymous authentication mechanism designed for AR environments with edge computing. It integrates piecewise linear chaotic maps, Physically Unclonable Functions (PUFs) and Hybrid Snooker Artificial Protozoan Optimization Algorithm (HSAPOA) in authentication for security and efficiency. This guarantees a safe and seamless user-infrastructure interaction. When a user initiates user-to-infrastructure authentication to access an edge node region, the protocol generates a session key, enabling safe data flow between nearby AR users through user-to-user authentication. This guarantees that a user securely and effortlessly engages and work together with other AR users in the same edge computing environment after successfully authenticating to the infrastructure. The proposed method achieves communication cost and overhead as 200 and 5500 bits, 20ms of execution time and 30ms of latency. The suggested edge computing-based AR authentication solution functions extremely well with low latency and no communication overhead to enable safe and efficient user interaction in such circumstances.
A systematic review on the novel drug delivery system in the development of antimicrobial drug
Authors: Parthasarathy S. , Keservani Raj K , Kesharwani Rajesh Kumar , Bhise Manish R. , Arya Rajeshwar Kamal Kant , Pawar Sarita Suryabhan , Jaiswal Meenakshi , Ahire Eknath D. 
Published: December 2024

Abstract

Background
The growing global concern over antimicrobial resistance necessitates the development of new and efficient antimicrobial drugs. Traditional methods of drug delivery often face challenges such as poor bioavailability, rapid clearance, and side effects. Novel drug delivery systems have emerged as promising solutions, improving the effectiveness of antimicrobial agents by enhancing their stability, targeted delivery, and controlled release.
Aim
To systematically review and analyze the role of novel drug delivery systems in the development of antimicrobial drugs, focusing on their mechanisms, efficacy, and potential applications in combating microbial infections.
Method
A comprehensive systematic review was conducted, sourcing studies from databases such as PubMed, Scopus, and Google Scholar. Research articles published between 2000 and 2024 were included, focusing on innovative drug delivery systems for antimicrobial agents. The date of search for this study was 10/10/2024 to 13/11/2024.
Results
The review identified several promising NDDS, including liposomes, polymeric nanoparticles, and micelles, which demonstrated enhanced antimicrobial activity and reduced side effects. These systems facilitated sustained and controlled drug release, improving the pharmacokinetics of antimicrobials. Notably, nanoparticles showed significant promise in overcoming bacterial biofilms and multi-drug resistance. Liposomal formulations were found to improve the stability of certain antimicrobial drugs, while hydrogels provided localized treatment.
Conclusion
Novel drug delivery systems are transforming the field of antimicrobial drug development by enhancing drug bioavailability, targeting specific infection sites, and addressing antimicrobial resistance. However, further clinical trials and long-term studies are necessary to fully realize the potential of these systems.
Barriers and facilitators to refugees and asylum seekers accessing non-hospital-based care: a mixed methods systematic review
Authors: Fitzharris Laura , Broderick Julie , McGowan Emer , Siersbaek Rikke 
Published: December 2024

Abstract

Background
Asylum seekers and refugees have complex healthcare needs but often face barriers in accessing health services, particularly in non-hospital settings. This mixed methods systematic review aims to identify the facilitators and barriers to accessing non-hospital-based care among these groups.
Methods
A search of Medline, PubMed, EMBASE, PsycINFO, and the Cochrane Library identified qualitative and quantitative studies on this topic, utilizing the Joanna Briggs Institute methodology for data synthesis.
Results
Twenty-one studies were included (17 qualitative, 3 quantitative, 1 mixed method). Key barriers identified were language issues, pre-migration experiences, and the health system's structure. Key facilitators included refugee centres and social support. These factors were grouped into four themes: (i) health system structure, (ii) healthcare encounters, (iii) pre-migration experiences, and (iv) language/communication.
Conclusion
The findings illustrate the links between language, cultural sensitivity, and healthcare access. While qualitative evidence is strong, quantitative support is limited, suggesting healthcare systems could improve to better serve this diverse population.
Interaction of Triethylamine with Phenylacetylene and Exciplex Formation Study in Solutions
Authors: Barman Shrabani , Islam Sahidul 
Published: December 2024

Abstract:
Phenylacetylene interacts with triethylamine in the excited state. Hence, the
formation of weak charge transfer binary molecular complex species popularly known as
exciplex has been investigated. The exciplex is formed probably due to the interaction of
the excited state phenylacetylene dipole and C-H dipole of triethylamine in the non-polar
aprotic solvent cyclohexane.
Exciplex formation is very much dependent on the concentration of triethylamine. Higher
concentrations of triethylamine facilitate the formation of exciplex. Phenylacetylene
absorbs at 271 nm wavelength, and it shows a fluorescence emission peak at 298 nm.
While titrating phenylacetylene against triethylamine in cyclohexane, a new emission
band centered on 422 nm is observed and indicates the formation of exciplex. In cyclohexane,
in higher quencher (triethylamine) concentration (above 14.2 mM), the inaccessible
fraction of phenylacetylene is 0.48±0.06 (≈0.5), which is a close resemblance of
multi-tryptophan protein in water, where half of the sites are solvent inaccessible.
At lower concentrations of triethylamine, the fluorescence quenching of phenylacetylene
is predominantly dynamic, but at higher concentrations, it is complex. In ethanol, the
quenching of fluorescence is purely dynamic.
Therefore, in very high concentrations of triethylamine, fluorescence is almost saturated.
The effect of solvent polarity on molecular aggregation of phenylacetylene with triethylamine
has been studied.
Vitamin C-induced DNA Cleavage Using Curcumin-loaded Fe3O4-silane Magnetic Nanoparticles
Authors: Prabakaran Natarajan , Mareeswaran Paulpandian Muthu , Shanmugavelan Poovan 
Published: December 2024

Abstract:
The loading and unloading of a drug into a nanoparticle are the first stages in
the delivery of a nanodrug. This work investigates the loading of curcumin via soft hydrolysis
of silane using iron oxide-silane core-shell nanoparticles. Additionally, the study
examines the sustained release of curcumin from the core-shell nanoparticles over a period
of 70 hours at a physiological pH. The release ability is studied using the absorption
spectral technique. The interaction of DNA is studied using the emission spectral technique.
Drug delivery applications should involve interactions between the released drug
and the biomolecules of the biological systems. Therefore, it can be concluded that this
system is used to study the interaction between curcumin and DNA and vitamin Cinduced
cleavage.
Current Updates on Nanotechnology-based Drug Delivery Platforms for Treating Alzheimer’s with Herbal Drugs
Authors: Ansari Shakeel Ahmed , Alshanberi Asim Muhammad , Satar Rukhsana , Abujamai Jakleen , Ashraf Ghulam Md 
Published: December 2024

Abstract:
Alzheimer's disease (AD) is an irreversible brain disorder that led to memory loss and
disrupts daily life. Earlier strategies to treat AD such as acetylcholinesterase inhibitor (AChEI) drugs
are not showing effectiveness due to the inability to cross the blood-brain barrier. Moreover, traditional
AChEI provides limited efficacy in terms of bioavailability and solubility for treating AD
treatment. Many of the current drugs such as donepezil taken to treat the disease exhibited harmful
side effects. Hence, researchers are keen to find the alternative effective therapeutic agents for treating
AD. This review summarizes the recent advancement in nanotechnology-based drug delivery
systems of herbal drugs such as Curcumin, Ginkgo biloba, Salvia officinalis, etc for the prevention
and cure of AD. Herbal drugs proved useful in treating neuronal disorders such as AD but exhibited
some limitations like low bioavailability via oral drug delivery. Such limitations were overcome by
tagging these drugs by nanoparticles which enables them to cross the blood-brain barrier and offer
the delivery of greater concentration of herbal drugs to the brain. Inorganic nanoparticle-based drugdelivery
systems such as gold nanoparticles and magnetic nanoparticles, organic nanoparticulate
systems like polymeric micelles and dendrimers, and solid polymeric nanoparticles were some of the
effective methods that have earlier shown potential for enhancing the delivery of herbal drugs to the
brain. Long-term repeated injection of drugs loaded on nanomaterials can lead to the accumulation
of nanomaterials in the body without timely and effective degradation which can cause serious issues
to the brain. Hence, nanotechnology-based strategies should involve the formulation of nontoxic
nanoparticles in such a way that they can significantly transport the drugs across the BBB followed
by effective degradation of nanoparticles.
Advanced Digital Technologies for Promoting Indian Culture and Tourism through Cinema
Authors: Pathak Ramesh Chandra , Agarwal Priyam , Gehlot Anita , Singh Rajesh , Akram Shaik Vaseem , Gupta Lovi Raj , Thakur Amit Kumar , Priyadarshi Neeraj , Twala Bhekisipho 
Published: December 2024

Abstract:
Culture and Tourism are two mainly interrelated elements that contribute a lot to
achieving Sustainable Development for any developing country especially India, which has an
extremely rich historical and cultural background. Tourism Industry is the fastest growing sector
in a local economy creating several job opportunities which ultimately raise the standard of living
of people which further raises the consumption level of goods and services, resulting in a
rise in the Gross Domestic Product (GDP) of a country. However, various studies pointed out
major promotional strategies concerning tourism and culture but an amalgamated promotional
approach for both was still missing. With this motivation, the current study aims at providing an
amalgamated promotional approach in assimilation with the latest Industry 4.0 technologies
such as Artificial Intelligence (AI), Machine Learning (ML), Big Data, Blockchain, Virtual Reality
(VR), Digital Twin and Metaverse to the Indian tourism industry by reviewing prior research
studies. The findings of the current study are establishing an online future travel demands
forecasting system, an online tourists’ destination personalized recommendation system, an
online tourist’s review analysis recommendation system, and an online destination image recommendation
system and provide the practical design for it through 1+5 Architectural Views
Model and by applying several ML algorithms such as CNN, BPNN, SVM, Collaborative Filtering,
K-means Clustering, API Emotion, and Naïve Bayes algorithms. Finally, this study has
discussed challenges and suggested vital recommendations for future work with the assimilation
of Industry 4.0 technologies.
A PSO-Optimized Neural Network and ABC Feature Selection Approach with eXplainable Artificial Intelligence (XAI) for Natural Disaster Prediction
Authors: Sassi Mounira , Idoudi Hanen 
Published: December 2024

Introduction:
”Artificial Intelligence will revolutionize our lives” is a phrase frequently
echoed. The influence of Artificial Intelligence (AI) and Machine Learning (ML) extends
across various aspects of our daily lives, encompassing health, education, economics, the
environment, and more.

Method:
A particularly formidable challenge lies in decision support, especially in critical scenarios
such as natural disaster management, where artificial intelligence significantly amplifies
its ongoing capacity to assist in making optimal decisions. In the realm of disaster management,
the primary focus often centers on preventing or mitigating the impact of disasters. Consequently,
it becomes imperative to anticipate their occurrence in terms of both time and location,
enabling the effective implementation of necessary strategies and measures. In our research,
we propose a disaster forecasting framework based on a Multi-Layer Perceptron (MLP)
empowered by the Particle Swarm Optimization (PSO) algorithm. The PSO-MLP is further fortified
by the incorporation of the Artificial Bee Colony (ABC) algorithm for feature selection,
pinpointing the most critical elements. Subsequently, we employ the LIME (Local Interpretable
Model-agnostic Explanations) model, a component of eXplainable Artificial Intelligence (XAI).
This comprehensive approach aims to assist managers and decision-makers in comprehending
the factors influencing the determination of the occurrence of such disasters and increases the
performance of the PSO-MLP model. The approach, specifically applied to predict snow avalanches,
has yielded impressive results.

Result:
The obtained accuracy of 0.92 and an AUC of 0.94 demonstrate the effectiveness of
the proposed framework. In comparison, the prediction precision achieved through an SVM is
0.75, while the RF classifier yields 0.86, and XGBoost reaches 0.77. Notably, the precision is
further enhanced to 0.81 when utilizing XGBoost optimized by the grid-search.

Conclusion:
These results highlight the superior performance of the proposed methodology,
showcasing its potential for accurate and reliable snow avalanche predictions compared to other
established models.
Creation of Technology and Devices for the Preparation of Motor Fuels Containing Biocomponents
Authors: Grishnyaev Igor 
Published: December 2024

Background:
In the world, active research is being conducted to create motor fuels
containing bio-oil as a component, derived from renewable, environmentally friendly sources of
raw materials such as wood processing waste, agriculture, marine algae, etc. One of the most
commonly used technologies for bio-oil production is fast pyrolysis. Due to the physical and
chemical properties of such bio-oil, direct blending with petroleum motor fuel is not possible.

Objective:
The goal of the conducted research was to develop technology and devices to address
this issue. Fundamental developments in the field of nonlinear wave mechanics formed the basis
for these endeavors.

Methods:
During the research, designs for motor fuel preparation devices were developed, and
mathematical modeling of the mixing processes of fuel components was carried out. The obtained
data were analyzed and transferred to natural samples, which were examined during experiments.

Results:
As a result, blended fuels based on bio-oil (up to 15% by weight) and diesel fuel (marine)
with stability of up to 10 days without the use of surface-active substances (SF) and 25-30 days
with the addition of SF (up to 0.5% by weight) were obtained.

Conclusion:
Fuel containing SF is re-homogenized by traditional stirring for at least 3 months.
The obtained results confirmed the correctness of the chosen approach and the feasibility of using
the developed technology for preparing blended motor fuel containing bio-oil.

conclusion:
Based on the research results, the developed technology and cavitation wave devices can be recommended for the preparation of mixtures of motor fuels with bio-oil