bluuebunny/crossref_metadata_2025_split huggingface dataset:
Melatonin enhances the remote effect of radiofrequency ablation via NRF-2 mediated inhibition of PD-L1 transcription in non-small cell lung cancer
Authors: Li Ziye , Zheng Tiansheng , Lin Shumeng , Zhang Wen , Qin Chenge , Reiter Russel J. , Li Ming , Fan Lihong 
Published: September 2023

Abstract
There is a strong correlation between PD-L1 expression and the malignancy of the tumor, and targeted regulation of PD-L1 expression can significantly improve the lung cancer patients' prognosis. The transcriptional regulation of PD-L1 expression is a critical topic in current research. Previous studies have demonstrated that melatonin (MLT) can promote the remote effect of radiofrequency ablation (RFA). However, it is unclear whether this action of MLT is through inhibiting the expression of PD-L1 in tumor cells. Our transcriptomic analysis showed that MLT significantly inhibited the tumor tissue expression of PD-L1 and NRF2 and enhanced the remote effect of RFA ablation. Our subsequent in vitro experiments also demonstrated that MLT could suppress tumor cells by inhibiting the expression of PD-L1 and NRF2. Further study demonstrated that NRF2 could inhibit the transcriptional expression of PD-L1. The dual luciferase reporter assay showed that NRF-2 inhibited the transcription expression of PD-L1 by activating the PD-L1 promoter. Deletion mutation research has shown that the transcriptional regulation of NRF2 is achieved by repressing the activation of TCAGAGGCTAT, a specific locus of the PD-L1 promoter. For the first time, we found that NRF2 was an important transcriptional regulator of PD-L1 promoter, and MLT could promote the remote effect of RFA ablation by inhibiting the NRF2-PD-L1 signal axis. All these findings may offer a novel strategy for enhancing anti-tumor immunity through regulating PD-L1, and provide a solid foundation for the clinical applications of MLT in combination with RFA therapy for lung cancer.
Vitellogenins appear in the form of protein complexes in the hemolymph of Haemaphysalis flava ticks
Authors: Li Dan , Liu Lei , Liu Zi-ling , Tian Yuan , Gao Xin , Cheng Tian-yin 
Published: September 2023

AbstractBackground Hemolymph is a circulating aqueous fluid which is full of proteins, lipids, carbohydrates, hormones, and hemocytes. Ticks transport nutrients, signaling molecules, waste and immune factors to all areas of the body via hemolymph. Vitellogenin (Vg) family members, which are vital for the tick reproduction, are a main soluble component in the hemolymph, but there remain disputes regarding their protein structures and functional classifications. Here we aimed to investigate whether Vg proteins would exist in the hemolymph as a monomer or complex, as well as the putative functional classifications Vg proteins based on their structures. Methods Hemolymph was collected from fully engorgedHaemaphysalis flavaticks by leg amputation. Hemolymph proteins were examined by both native polyacrylamide gel electrophoresis (Native-PAGE) and sodium dodecyl sulfate PAGE (SDS-PAGE). Proteins extracted from gels were further identified by a combination of liquid chromatography–tandem mass spectrometry (LC–MS/MS). Results Two bands (380 kDa and 520 kDa) were separated from tick hemolymph by Native-PAGE and were further separated into four bands (105 kDa, 120 kDa, 130 kDa and 360 kDa) by SDS-PAGE. LC/MS/MS revealed that seven tick proteins and 13 host proteins existed in the four bands. These tick proteins mainly were the vitellogenin (Vg) family and α-macroglobulin family members. In silica structural analysis showed that these Vg family members all had common conserved domains including the N-terminus lipid binding domain (LPD-N), the C-terminus von Willebrand type D domain (vWD) and the unknown functional domain (DUF). Additionally, they contained the cleaving sites that could cleave the protein into multiple subunits. Meanwhile, combined with our previous observations, it was believed that these Vg family proteins in the hemolymph functionally belonged to carrier protein (CP) but not Vg. Conclusion These findings imply that Vg family proteins, most likely CP, are the primary constituent of Hemolymph in the form of protein complexes. It will drive a more rational selection of Vg family proteins as antigen targets for the development of vaccines aimed at the control of tick development.
Computational Design of a Multi-Epitope-Based Vaccine Targeting the BF.7 Omicron Variant of SARS-CoV-2
Authors: Raghavendra B , Dhanushkumar T , Selvam Prasanna kumar , Gopikrishnan Mohanaraj , Vasudevan Karthick , C George Priya Doss 
Published: September 2023

Abstract

In recent times, the SARS-CoV-2 virus has been observed to cause a serious threat to the world through its high permissive mutations by adapting itself to the host environment, which is a time to design a effective vaccine that could be able to produce immune response to fight against the virus. An Immunoinformatics approach was employed to conduct a high-throughput analysis aimed at developing a multi-epitope-based vaccine that specifically targets the BF.7 Omicron variant, which is currently a variant of concern. The essential aspect for the successful development of a vaccine lies in identifying B-cell and T-cell epitopes that exhibit both antigenic features, capable of eliciting a defensive immune response, while also possessing non-allergenic characteristics to prevent any harmful allergic reactions. These epitopes are essential for the development of vaccines because they aid in the immune system's ability to identify and attack certain infections without inducing unfavourable allergic reactions. The Docking and MD simulation studies have shown structural stabilityand Toll-like receptors with chosen vaccine architecture interact strongly. with strong The Insilico immune simulation boosted the research study confirming the efficiency of the vaccination that has the potential to stimulate immunological responses by producing antibodies to not only targeting the specific VOC, BF.7 omicron variant but also other omicron sublineages. Overall, the computational study have provided strong evidences to the designed vaccine construct which needs to be confirmed through the experiemental study.
Comparison of postoperative outcomes and long-term survival rates between patients who underwent robotic and laparoscopic complete mesocolic excision for right-sided colon cancer
Authors: Aghayeva Afag , Seker Mustafa Ege , Bayrakceken Serra , Kirbiyik Ebru , Bagda Aysegul , Benlice Cigdem , Karahasanoglu Tayfun , Baca Bilgi 
Published: September 2023

Abstract

Background
This study aims to evaluate and compare the safety and efficacy of robotic and laparoscopic complete mesocolic excision (CME) for patients diagnosed with right colon cancer. The study also examined 5-year survival rates to determine the outcomes of these procedures.
Methods
Patients who underwent CME for right-sided colon cancer between 2014 and 2021 were included in the current study. Group differences of age, body mass index, operation time, bleeding amount, total harvested lymph nodes and post-operation hospital stay were analyzed by the Mann-Whitney U test. Group differences of sex, American Society of Anesthesiology, and TNM stage were analyzed by the Chi-squared test. Disease-free survival and overall survival were assessed using Kaplan-Meier curves and compared using the log-rank Mantel-Cox test.
Results
From 109 patients, 74 of them were 1:1 propensity score matched and used for analysis. Total harvested lymph node (p = < 0.001) and estimated blood loss (p = 0.031) were found to have statistically significant between the groups. We found no statistically significant difference between the groups in terms of disease-free and overall survival (p = 0.27 and 0.86, respectively), and the mortality rate was 9.17%, with no deaths directly attributed to the surgery.
Conclusions
Our study shows that minimally invasive surgery is a feasible option for CME in right colon cancers, with acceptable overall survival rates. Although the robotic approach resulted in a higher lymph node yield, there was no significant difference in survival rates between the robotic and laparoscopic approaches. Further randomized trials are needed to determine the clinical significance of both approaches.
Exploring the Clinical Significance of Specific Immune-Related Adverse Events (irAE) in Melanoma Patients Undergoing Immune Checkpoint Inhibitor (ICI) Therapy
Authors: Asher Nathanel , Bar-Hai Neta , ben-Betzalel Guy , Stoff Ronen , Grynberg Shirly , Schachter Jacob , Steinberg Yael , Gelernter Leah , Shlasky Avital , Frommer-Shapira Ronnie 
Published: September 2023

Abstract

Introduction: Several studies have demonstrated that patients who experience irAE as a result of ICI treatment, exhibit significantly improved outcomes compared to patients without toxicity. However, data regarding the impact of specific irAE is currently lacking. Patients and methods: This is a real-world single-site cohort of advanced melanoma patients who were treated with ICI as first line between 2014 and 2020. This study explores the correlation between specific irAE and treatment efficacy. Results: Four hundred and fifteen (415) patients were treated with either anti PD-1 monotherapy (65%), combination of anti PD-1 and anti CTLA-4 (24%), or anti CTLA-4 monotherapy (11%). Median age was 68 years (12-99y), and 58% were male. The median follow-up was 24.5m. Any-grade irAEs were seen in 72% (n = 299), and 26% experienced high-grade irAE (n = 104). The most frequent irAEs were cutaneous (classified as non-vitiligo, n = 110, 26.5% and vitiligo, n = 48, 11.6%), rheumatologic (n = 68, 16.4%), gastrointestinal (n = 66, 15.9%), endocrine (n = 61, 14.7%), and hepatitis (n = 50, 12%). The development of irAE was associated with a significantly longer median PFS (19.6m vs 4.5m; HR 0.46, p < 0.001) and median OS (55m vs 16.9m; HR 0.44, p < 0.001). Specific irAE that were significantly associated with survival benefit were rheumatologic (HR 0.34 for PFS, p < 0.001; HR 0.38 for OS, p < 0.001), non-vitiligo cutaneous (HR 0.58 for PFS, p < 0.001; HR 0.54 for OS, p = 0.001), vitiligo (HR 0.30 for PFS, p < 0.001; HR 0.29 for OS, p < 0.001) and endocrine (HR 0.6 for PFS, p = 0.01; HR 0.52 for OS, p < 0.001). After adjustment for ECOG performance status, LDH level, type of ICI protocol and M-substage - the rheumatologic, non-vitiligo cutaneous and vitiligo irAE remained significant on multivariate analysis for both PFS and OS. Conclusions: The development of rheumatologic, vitiligo and other cutaneous irAE during ICI treatment, is correlated with a noteworthy survival advantage, while other irAE do not present this correlation. These specific irAEs may reflect a hyper-activated immune response and thus can serve as meaningful clinical biomarkers.
Self-paced Ensemble and Big Data Identification: A Classification of Substantial Imbalance Computational Analysis
Authors: Bano Shahzadi , Zhi Weimei , Qiu Baozhi , Raza Muhammad , Sehito Nabila , Kamal Mian Muhammad , Aldehim Ghadah , Alruwais Nuha 
Published: September 2023

Abstract
Background: The concept of self-paced learning in the context of ensemble learning involves the idea of allowing each individual member, or base learner, within an ensemble to learn at its own pace. Ensemble learning refers to a machine learning technique that combines multiple learning models, known as base learners, to improve predictive accuracy and overall performance.
Motivation: The research focuses on self-paced ensemble and big data classifications, with considerable data imbalance as a mediating factor. This idea is a brand-new domain with a lot of untapped potential. For example, the growth of information technology has resulted in the spread of massive data in our daily lives. Many real-world applications often create imbalanced datasets for critical classification tasks. For example, to anticipate click-through rates, online advertising companies may produce many datasets, such as user viewing or interactions with advertisements
Research object : This research focuses on the challenges associated with learning classifiers from large-scale, highly imbalanced datasets prevalent in many real-world applications. Traditional algorithms learning often need better performance and high computational efficiency when dealing with imbalanced data. Factors such as class imbalance, noise, and class overlap make it demanding to learn effective classifiers.
Methods: The self-paced ensemble method addresses the challenges of high imbalance ratios, class overlap, and noise presence in large-scale imbalanced classification problems. By incorporating the knowledge of these challenges into our learning framework, we establish the concept of classification hardness distribution
Conclusion: This research concludes that the self-paced ensemble is a revolutionary learning paradigm for massive imbalance categorization, capable of improving the performance of existing learning algorithms on imbalanced data and providing better results for future applications.
Genome sequence and characterization of Streptomyces phages Vanseggelen and Verabelle, representing two new species within the genus Camvirus
Authors: Ongenae Véronique , Kempff Annabel , Neer Vera van , Shomar Helena , Tesson Florian , Rozen Daniël , Briegel Ariane , Claessen Dennis 
Published: September 2023

Abstract
Despite the rising interest in bacteriophages, little is known about their infection cycle and lifestyle in a multicellular host. Even in the model system Streptomyces, only a small number of phages have been sequenced and well characterized so far. Here, we report the complete characterization and genome sequences of Streptomyces phages Vanseggelen and Verabelle isolated fromStreptomyces coelicolor. A wide range of Streptomyces strains could be infected by both phages, but neither of the two phages was able to infect members of the closely related sister genus Kitasatospora. The phages Vanseggelen and Verabelle have a double-stranded DNA genome with lengths of 48,720 and 48,126 bp, respectively. Both phage genomes contain 72 putative genes, and the presence of an integrase encoding protein indicates a lysogenic lifestyle. Characterization of the phages revealed their stability over a wide range of temperatures (25–45°C) and pH values (4–10). In conclusion, Streptomyces phage Vanseggelen and Streptomyces phage Verabelle are newly isolated phages that can be classified as new species in the genus Camvirus, within the subfamily Arquattrovirinae.
Early transplantation of human umbilical cord mesenchymal stem cells is more effective in treating Achilles tendinopathy in a rat model
Authors: Yuan Ze , Yu Ding , Wang Yanxue , Liu Lijiaqi , Wang Junchao , Ma Chao , Wu Shaoling 
Published: September 2023

Abstract
Objective
Tendinopathy often causes pain and dysfunction that are difficult to treat. Various studies have examined the use of mesenchymal stem cells in treating tendinopathy, but the therapeutic effects differ depending on the dose and stage of tendinopathy. This study aims to investigate the efficacy and optimal delivery time of human umbilical cord mesenchymal stem cells (Huc-MSCs) in treating Achilles tendinopathy.
Methods
Tendinopathy was induced in SD rats by injecting 50 μL of collagenase I solutioninto the Achilles tendon. Tendinopathy was established after one week for early-stage models and after four weeks for advanced-stage models. The early tendinopathy models were randomly divided into the MSC-1 and control-1 groups, whereas the advanced tendinopathy models were randomly divided into the MSC-2 and control-2 groups. The rats were injected with 50 μL of Huc-MSCs solution or normal saline into the tendon twice. Achilles tendons were sampled at four weeks after treatment for related evaluation.
Results
H&E staining revealed lower histological scores in the MSC groups compared to the control groups, with the MSC-1 group scoring slightly lower than the MSC-2 group. Alizarin red staining showed lower heterotopic ossification in the MSC groups than in the control groups. RT-qPCR showed lower mRNA expression of TNF-α, IL-1β and MMP-3 in the MSC groups compared to the control groups. Immunohistochemical staining showed that early MSC delivery promoted collagen I and TIMP-3 synthesis and decreased MMP-3 expression. Transmission electron microscopy revealed larger collagen fiber diameter in the MSC groups, with the MSC-1 group yielding larger collagen fiber than the MSC-2 group. Biomechanical results showed higher failure load and stiffness in the MSC-1 group compared to the MSC-2 group.
Conclusion
Local injection of Huc-MSCs into the Achilles tendon restores normal collagen fiber arrangement, promotes matrix synthesis, reduces inflammation and improves biomechanical properties of the injured Achilles tendon. Results showed that early delivery is more effective than advanced delivery.
dyDNS: a Python Package Index Dynamic DNS Secured Updater for freedns.afraid.org
Authors: Takefuji Yoshiyasu 
Published: September 2023

Abstract
There are many unsecured dynamic DNS servers which have been used in the world. This paper proposes a new PyPI dynamic DNS updater, dyDNS, which allows users to update IPs for free dynamic DNS providers securely using OpenSSL technology which solves unsecured problems. Unlike traditional free dynamic DNS updating tools, dyDNS encrypts usernames, passwords, and domain name information for added security. It is customized for one of the best free dynamic DNS providers: freedns.afraid.org and can run on Windows, MacOS, and Linux operating systems. This paper serves as a tutorial for network professionals and practitioners to learn how to debut a PyPI package for maximum dissemination of the new software worldwide. dyDNS is validated with Code Ocean for software reproducibility.
Biologically Inspired Tonic and Bursting LIF Neuron Model for Spiking Neural Network: A CMOS Implementation
Authors: A Seenivasan M , Ahmed Rekib Uddin , Saha Prabir 
Published: September 2023

Abstract

The core part of the neuromorphic processors enti-tled as spiking neural network (SNN), which is more biologicallyplausible than ANN, where the signal is propagated in the form ofa spike. This perception seeks to create hardware systems thatresemble the brain in both shape and function; these systemsare comprised of artificial bio-neurons and synapses and can bescaled to the size of the brain. Many researchers have developedvarious bio-plausible neuron models to attain precise neuronvalues. This paper proposes a sub-threshold implementation ofthe Leaky Integrate and Fire (LIF) neuron model, which emulatesthe spiking behavior which is generally observed in biology.The models comprise analog and mixed (Analog and Digital)circuits that mimic biological spiking behaviors and exhibit bio-electric potential differences. The neuron models are simulatedin Cadence Virtuoso GPDK 45nm Technology and the multi-sim simulator powered by National Instruments to understandthe different spiking behaviors. The spike pulses with differentshapes and magnitudes, which are the functions of membranepotential and also applicable to realize the spiking behavior ofSNNs. The proposed neuron model operates at 1V power and 1msstep pulse, where it consumes less power (4.377μW ) and minimalenergy (761.146f J) per spike. The measured spike pulse widthstands at 15.823μs, while the refractory time period of the pulseis determined to be 57.795μs. The proposed model also comparedwith popular models like Hodgkin-Huxley and Izhikevich modelsin terms of the spike pattern.
Assessment of curvature filtering strategies for high-order sharp interface simulation of surface tension driven flows
Authors: Henneaux David , Haegeman Ward , Schrooyen Pierre , Massot Marc , Magin Thierry 
Published: September 2023

Abstract
In this work, we implement several state-of-the-art curvature filtering techniques inside a common high-order sharp interface discontinuous Galerkin finite element based numerical framework. We conduct an extensive study on static test cases by considering all the possible combinations in the curvature computation procedure. This allows us to extract the optimal parameters that are expected to minimize instabilities and parasitic current apparition in surface tension driven flows. We then apply the most promising strategies to benchmark dynamic test cases and observe that curvature filtering is crucial to ensure stability and accuracy of the computations.
A robust hybrid algorithm for medical image cryptography using patient biometrics based on DNA and RNA computing
Authors: Soltani Mohammad , Shakeri Hassan , Houshmand Mahboobeh 
Published: September 2023

Abstract
In the new age, most medical digital imaging and media objects (DICOMs) contain images and related medical and demographic information about the patients, which must be kept secret. One of the techniques used to secure medical images is encryption. This study suggests a robust hybrid cryptography algorithm to ensure DICOM privacy. The proposed algorithm uses DNA and RNA encryption algorithms. In the suggested algorithm, in the DNA phase, the DICOM image is encrypted using DNA rules, the XOR operator, and the chaotic map function, and the first cipher image is created. The cipher image is then sent into the RNA phase, where the truth table for RNA and the secret key are used to further encrypt the image. In addition to increasing security for each of the encrypted DICOMs, all keys depend on the patient’s biometric information, such as the patient’s iris or fingerprint. Some of the encryption features such as statistical, differential, and key analysis findings show that the proposed system is resilient and resistant to a variety of attacks.
Use and management of medicinal plants among the Moba in the prefecture of Tone in Togo
Authors: Liyabin Noundja , Patrice Zerbo , Wouyo Atakpama , Kperkouma Wala , Komlan Batawila , Koffi Akpagana 
Published: September 2023

Background and research objectives: Finding sustainable management options for the local communities that depend on medicinal plants is crucial in the face of human pressure on these plants. This study contributes to the sustainable management of medecinal plants in Togo. It aims to censusing medecinal plants and pathologies and identify the endogenous sustainable management strategies for medicinal plants in the Moba ethnic group of Togo. Methods: Data was collected through semi-structured ethnobotanical individual interviews with 50 traditional healers, recorded on a Microsoft Excel 10 spreadsheet and processed with the Sphinx5V software and the Microsoft Excel 10 table. Results: 166 medicinal plants were reported in the treatment of 91 pathologies dominated by dysmenorrhoea, stomachache, wounds, general and chronic asthenia, and infantile umbilical hernia. The most represented botanical families were: the Poaceae (12), the Combretaceae (10), and the Euphorbiaceae (10), Caesalpiniaceae (8), and Mimosaceae (7). The most important species according to the Species Importance Value Index (IVIsp) are: Vitellaria paradoxa (159.59), Parkia biglobosa (145.94), Securidaca longipedunculata (145.12), Diospyros mespiliformis (133.51), Annona senegalensis (123.88), Khaya senegalensis (110.52), Cymbopogon proximus (106.88), Cymbopogon giganteus (102.03), Zanthozylum zanthoxyloides (99.005). The most used plant parts are roots (18.6 %), leaves (17.85 %), bark of the trunk (16.66 %), the whole plant (14.28 %) and the fruits (12.30 %). Endogenous management strategies for medicinal plants include in situ protection in fields, reforestation, and respect for totemic trees, groves and sacred forests.