bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comprehensive profiling the immune-status of a broad range of in vivo syngeneic models to support IO development and to accurately predict clinical benefit of therapy
Authors: Li Wentao , Li Qiuliang , Li Guannan , Xiu Jinghui , Li Xiaodong , Zhang Lu , Ning Chunhong , Yun Wei , Huang Jingqi 
Published: September 2023

Abstract
Latterly with approval of PD-1, PD-L1 antibodies in clinical oncology, immunotherapy has gained recognition for changing the way of cancer treatment by joining chemotherapy, radiation and surgery. Murine syngeneic tumor models are critical to novel immuno-based therapy development. Therefore, understood the nature immune status and tumor microenvironment of in vivo tumor models is very important to assist exploring immunotherapy. However, the translational relevance of differences between the models is not fully understanding. Herein, we extensively characterize various murine syngeneic tumor models, which revealed striking differences in immune status and tumor microenvironment. These will contribute to appropriate preclinical model selection for target validation and drug development. In this study, nearly 51 tumor cell lines over a broad range of tumor types as well as corresponding in vivo syngeneic models were intensively studied on their immune status under two conditions that tumor volume were 100 mm3 and 500 to 600 mm3. The effort has been focusing on the immune status including T cell status and levels of immune-suppression via FACS analysis of the population of CD45+ TILs, CD4+ T cell, CD8+ T cell, Tregs, MDSCs, macrophage. Furthermore, the expressions of immune related genes were analyzed by RT-PCR. The profiling data illustrated the expression of these genes are different on different tumor models. We believe that this profiling data will help many scientists to properly select correct model to support R&D and better understand how immune therapeutically agent acts in the immune system.
A novel reduced basis method for adjoint sensitivity analysis of dynamic topology optimization
Authors: Li Shuhao , Wang Hu , Yin Jichao , Jiang Xinchao , Zhang Yaya 
Published: September 2023

Abstract
In gradient-based time-domaintopology optimization, Design Sensitivity Analysis (DSA) of the dynamic response is essential, and requires high computational cost to directly differentiate, especially for high-order dynamic system. To address this issue, this study develops an efficient Reduced Basis Method(RBM)-based discrete adjoint sensitivity analysis method, which on the one hand significantly improves the efficiency of sensitivity analysis and on the other hand avoids the consistency errors caused by the continuum method. In this algorithm, the basis functions of the adjoint problem are constructed in the offline phase based on the greedy-POD method, and a novel model-based estimator is developed to accurately predict the true error for facilitating this process. Based on these basis functions, a fast and reasonably accurate model is then built by Galerkin projection for sensitivity analysis in each dynamic topology optimization iteration. Finally, the efficiency and accuracy of the suggest method are verified by 2D and 3D dynamic structure studies.
Longitudinal effect of Sleep Quality on Subsequent Peptic Ulcer Recurrence in Older Patients after Helicobacter Pylori Eradication: Roles of Pharmacological and Nonpharmacological Treatments
Authors: Huang Yuanyuan , Du Jiayuan , Zhang Mi , Chen Gengzhen 
Published: September 2023

Abstract
Purpose
This study examined whether poor sleep quality at baseline predict the subsequent recurrence of peptic ulcer disease (PUD) in older patients after H. pylori eradication, and to investigate whether nonpharmacological treatment and sleeping pills play a role in this association.
Method
s Of 1,126 older Chinese patients with H. pylori-infected PUD from Eight Grade-A hospitals in the People’s Republic of China (PRC) recruited between 2010 and 2015, 1,028 obtained H. pylori eradication and healed PUD by the end of 2015, and 950 were followed for up to 36 months. PUD recurrence was confirmed with esophagogastroduodenoscopy. Sleep quality at baseline was measured by the Pittsburgh sleep quality index (PSQI). Information of use of pharmacological and non-pharmacological treatments was extracted from their medical and social service records.
Results
The results revealed that baseline poor sleep quality was associated with PUD recurrence during the 36-month follow-up period (HR 1.894 (1.007, 3.561)). However, older patients with poor sleep quality who consumed sleeping pills were more likely to experience PUD recurrence, compared to those with moderate-to-good sleep quality (HR 1.588 (1.126, 2.589)). No significant difference was noted between older patients with moderate-to- good sleep quality and those with poor sleep quality who used nonpharmacological sleep treatment alone (HR 1.395 (0.729, 2.669)) or who simultaneously used pharmacological and nonpharmacological sleep treatments (HR 1.162 (0.901, 2.286)).
Conclusions
Poor sleep quality is associated with a greater risk of PUD recurrence. However, using nonpharmacological sleep treatment may alter this trajectory.
Comparative analysis of the complete mitochondrial genomes of three Sisoridae (Osteichthyes, Siluriformes) and the phylogenetic relationships of Sisoridae
Authors: Wang Yunpeng , Zhang Chi , Liu Yifan , Zhang Shufei , Jin Xun , Zheng Sixu , Li Jiasheng , Peng Ying , Zhang Kun , Liu Bingjian 
Published: September 2023

Abstract

Background At present, the phylogenetic relationship of the Sisoridae is relatively chaotic. Objective This study systematically investigated the mitochondrial genomes (mitogenomes) of three speciesCreteuchiloglanis kamengensis,Glaridoglanis andersonii, andExostomasp., reconstruct the phylogenetic relationships of the family and to determine the phylogenetic position ofExostomasp. within Sisoridae. Method The sample of three Sisoridae were collected and DNA were extracted. After sequencing, NOVOPlasty was used for sequence assembly. Annotate sequences with MITOS WebServer, tRNAscan-SE2.0, and NCBI database. MEGA was used for sequence analysis and Phylosuite was used for phylogenetic tree construction. Results The lengths of the mitogenomes’ sequences ofC. kamengensis,G. andersonii, andExostomasp were 16,589, 16,531, and 16,529 bp, respectively. They contained one identical control region (D-loop), two ribosomal RNAs (rRNAs), 13 protein-coding genes (PCGs) and 22 transfer RNA (tRNA) genes among the three species. We applied two approaches, Bayesian Inference (BI) and Maximum Likelihood (ML), to build phylogenetic trees. Our findings revealed that the topological structure of both ML and BI trees exhibited significant congruence. Specifically, the monophyly of Sisorinae and Glyptosternoids was robustly supported in the ML tree. Conclusion It also proves that the current phylogenetic relationship of Sisoridae is relatively chaotic, and provides new molecular biology data support for the reconstruction of the phylogenetic relationship of Sisoridae. This study will be of great scientific value to the study of phylogeny and the genetic variation of Sisoridae.
Combining Ti 3 C 2 and C 3 N 4 Synergy in Chitosan-Based Nanocomposites: Unprecedented Photocatalytic and Antibacterial activities
Authors: Shanthini K. , Vel Selvam , C Anitha , N Rexin Alphonse , K.S Pushpavalli , V Gomathinayagam 
Published: September 2023

Abstract
The combined C3N4/Ti3C2 composite was created using a straightforward hydrothermal procedure, subsequently it was incorporated with chitosan and ultrasonically processed. The morphological characteristics, chemical composition, optical properties, and crystallographic information of the produced materials were ascertained using SEM-EDX, TEM, XRD, and UV-vis DRS. Under visible light exposure, the C3N4/Ti3C2@CS nanocomposite displayed significant photo-catalytic activity for the degradation of ofloxacin (OFX). Furthermore, the investigation explored the effect of various reaction parameters on the photocatalytic process. These criteria included the amount of catalyst used, the degree of pollutant in the system, and the inclusion of inorganic ions. Using the results of the tests, a possible charge transfer mechanism was suggested. Additionally, the antibacterial efficacy of the nanocomposites against microorganisms was greater. The improved photocatalytic activity of the nanocomposite was due to the synergistic effect of Ti3C2/C3N4 and CS, which results in efficient use of visible light and effective suppression of charge carrier recombination. Overall, this study reveals the possible use of C3N4/Ti3C2@CS in the photocatalytic removal of OFX from water.
ChatGPT giving advice on how to cheat in university assignments—how workable are its suggestions?
Authors: Spennemann Dirk , Biles Jessica , Lachlan Brown  , Ireland Matthew , Laura Longmore  , Clare Singh  , Wallis Anthony , Catherine Ward  
Published: September 2023

AbstractThe generative artificial intelligence (AI) language model ChatGPT is programmed not to provide answers that are unethical or that may cause harm to people. By setting up user-created role-plays designed to alter ChatGPT’s persona, ChatGPT can be prompted to answer with inverted moral valence supplying unethical answers. In this inverted moral valence mode ChatGPT was asked to provide suggestions on how to avoid being detected when commissioning and submitting contract written assignments. We conducted 30 iterations of the task, we examine the types of the suggested strategies and their likelihood of avoiding detection by markers, or, if detected, escaping a successful investigation of academic misconduct. Suggestions made by ChatGPT ranged from communications with contract writers and the general use of contract writing services to content blending and innovative distraction techniques. While the majority of suggested strategies has a low chance of escaping detection, recommendations related to obscuring plagiarism and content blending as well as techniques related to distraction have a higher probability of remaining undetected. We conclude that ChatGPT can be used with success as a brainstorming tool to provide cheating advice, but that its success depends on the vigilance of the assignment markers and the cheating student’s ability to distinguish between genuinely viable options and those that appear to be workable but are not. In some cases the advice given would actually decrease probability of remaining undetected.
Ground water quality evaluation using hydrogeochemical characterization and novel machine learning in the Chikun Local Government Area of Kaduna State, Nigeria
Authors: Vivan Ezra Lekwot , Bashir Faizah Mohammed , Eziashi Augustine Chukuma , Gammoudi Taha , Dodo Yakubu Aminu 
Published: September 2023

Abstract
The investigation collected 50 random water samples from wells and bore holes in the five wards. In the meantime, the Water Quality Index (WQI) in this region was assessed using a novel machine learning model. In this sphere of science, the Emotional Artificial Neural Network (EANN) was used as an innovative technique. The training dataset comprised 80% of the available data, while the remaining 20% was used to assess the performance of the network. The laboratory analysis revealed that the levels of magnesium (0.581 mg/L), mercury (0.0143 mg/L), iron (0.82 mg/L), lead (0.69 mg/L), calcium (2.03 mg/L), and total dissolved solid (105 mg/L) in the water sample were quite high and exceeded the maximum permissible limits established by the National Standard Water Quality (NSWQ) and Water Quality Association (WQA). Except for magnesium, mercury, iron, and lead, all physicochemical parameters are below the utmost permissible limit. Results showed that hydrogeological effects and anthropogenic activities, such as waste management and land use, impact groundwater pollution in the Chikun Local Government Area of Kaduna State up to 60 m deep. The results of the EANN showed that R2 index and normalized root mean square error (RMSENormalized) values for the training and test stages are 0.89 and 0.18, and 0.83 and 0.23, respectively.
Mono-metallic, Bi-metallic and Tri-metallic Biogenic Nanoparticles Derived from Garlic and Ginger with their Applications
Authors: Farooq Saba , Munawar Munawar Ali , Ngaini Zainab 
Published: September 2023

Abstract:Biogenic metallic nanoparticles (NPs) produced from garlic and ginger have a wide range of applications in the pharmaceuticals, biotechnology and electronics industries. Despite many commercial NPs reported, NPs made from natural extracts are more affordable, straightforward and environmentally friendly than synthetic approaches. Biogenic metallic NPs derived from garlic and ginger have superior biocompatibility, better dispersion, higher stability, and stronger biological activities. This is due to the fact that garlic and ginger possess significant activities against multi-drug resisted pathogens and are in high demand, especially for the prevention of microbial diseases. This review placed a substantial emphasis on comparative investigations of the synthesis of mono-, bi-, and tri-metallic NPs with a variety of sizes and forms, as well as applications using materials like ginger and garlic. The benefits and drawbacks of mono-metallic, bi-metallic, and tri-metallic biogenic NPs produced from garlic and ginger are also comprehensively highlighted. Recent improvements have opened the way to site-specific targeting and drug delivery by these metallic NPs.
Nuclear Imaging Modalities in the Diagnosis and Management of
Thyroid Cancer
Authors: Singh Namit Kant , Hage Neemu , Ramamourthy Balaji , Nagaraju Sushmitha , Kappagantu Krishna Medha 
Published: September 2023

Abstract:
In this review we have brought forward various nuclear imaging modalities
used in the diagnosis, staging, and management of thyroid cancer. Thyroid cancer is the
most common endocrine malignancy, accounting for approximately 3% of all new cancer
diagnoses. Nuclear imaging plays an important role in the evaluation of thyroid cancer,
and the use of radioiodine imaging, FDG imaging, and somatostatin receptor imaging
are all valuable tools in the management of this disease. Radioiodine imaging involves
the use of Iodine-123 [I-123] or Iodine-131 [I-131] to evaluate thyroid function and detect
thyroid cancer. I-123 is a gamma-emitting isotope that is used in thyroid imaging to
evaluate thyroid function and detect thyroid nodules. I-131 is a beta-emitting isotope that
is used for the treatment of thyroid cancer. Radioiodine imaging is used to detect the
presence of thyroid nodules and evaluate thyroid function. FDG imaging is a PET
imaging modality that is used to evaluate the metabolic activity of thyroid cancer cells.
FDG is a glucose analogue that is taken up by cells that are metabolically active, such
as cancer cells. FDG PET/CT can detect primary thyroid cancer and metastatic disease,
including lymph nodes and distant metastases. FDG PET/CT is also used to monitor
treatment response and detect the recurrence of thyroid cancer. Somatostatin receptor
imaging involves the use of radiolabeled somatostatin analogues to detect
neuroendocrine tumors, including thyroid cancer. Radiolabeled somatostatin analogues,
such as Indium-111 octreotide or Gallium-68 DOTATATE, are administered to the
patient, and a gamma camera is used to detect areas of uptake. Somatostatin receptor
imaging is highly sensitive and specific for the detection of metastatic thyroid cancer.

:
A comprehensive search of relevant literature was done using online databases of
PubMed, Embase, and Cochrane Library using the keywords "thyroid cancer," "nuclear
imaging," "radioiodine imaging," "FDG PET/CT," and "somatostatin receptor imaging" to
identify relevant studies to be included in this review.

:
Nuclear imaging plays an important role in the diagnosis, staging, and management of
thyroid cancer. The use of radioiodine imaging, thyroglobulin imaging, FDG imaging, and
somatostatin receptor imaging are all valuable tools in the evaluation of thyroid cancer.
With further research and development, nuclear imaging techniques have the potential
to improve the diagnosis and management of thyroid cancer and other endocrine
malignancies.
The Angiotensin Type 1 Receptor: A Drug Target to Reduce the Risk of Organ Transplant Rejection
Authors: Moslem Alireza , Aliakbarian Mohsen , Khodashahi Rozita , Tavakkoli Mahmoud , Ferns Gordon A. , Rahimi Hoda , Ashrafzade Kiarash , Arjmand Mohammad-Hassan 
Published: September 2023

:
Allograft rejection is one of the main problems that must be overcome. Evidence suggests a role of the local renin-angiotensin system (RAS) in the progress of chronic allograft injury. Angiotensin II, generated by the renin-angiotensin system, is well-known as a major regulator molecule to control the blood pressure and fluid system. Evidence suggests that this bioactive molecule and its receptor increase the risk of tissue injuries and organ transplant rejection through different molecular mechanisms such as activation of innate and cellular immunity, upregulation of inflammatory pathways, and accumulation of extracellular matrix by expression pro-fibrotic molecules like transforming growth factor β (TGF-β) to increase the risk of fibrosis. Based on these findings, AT1R antagonists might have therapeutic potential to prevent the risk of tissue injuries and allograft rejection by regulating immune response, inflammation pathway, and fibrogenesis to improve organ functions.
Foreign Body Aspiration in Children: Retrospective Case Series and
Literature Update
Authors: Tosto Monica , Giugno Andrea , Sciuto Laura , Parisi Giuseppe Fabio , Papale Maria , Terminella Alberto , Cusumano Giacomo , Manti Sara , Leonardi Salvatore 
Published: September 2023

Background:
Foreign body aspiration is common among older infants and toddlers and
is an important cause of morbidity and mortality. It may escape notice by the physicians due to
lack of knowledge of the exact history, high variability of clinical presentation, variable latency of
the onset of symptoms, and inconclusive radiographical findings.

Case report:
We present a case series about children diagnosed with foreign body aspiration referred
to the Pediatric Respiratory Unit of San Marco Hospital in Catania between January 2018
and November 2022. Data regarding demographic characteristics, symptoms, and type of foreign
body were collected and analyzed.

Conclusion:
Early diagnosis is the key to therapeutic success and effective management of foreign
body aspiration. We will review the literature to highlight the diagnostic difficulties related to this
condition and the useful tools to recognize and manage it. The most essential part of foreign body
aspiration treatment is prevention and the need to educate parents and primary care physicians. It
is, therefore, of the utmost importance to consider airway foreign bodies as a cause of cough unresponsive
to therapy, recurrent wheezing, and relapsing pneumonia.
Assembling High-quality Lymph Node Clinical Target Volumes for Cervical
Cancer Radiotherapy using a Deep Learning-based Approach
Authors: Jiang Xiaoxuan , Zhang Shengyuan , Fu Yuchuan , Yu Hang , Tang Huanan , Wu Xiangyang 
Published: September 2023

Aim:
The study aimed to explore an approach for accurately assembling high-quality lymph node clinical target volumes (CTV) on CT images in cervical cancer radiotherapy with the encoder-decoder 3D network.

Methods:
216 cases of CT images treated at our center between 2017 and 2020 were included as a sample, which were divided into two cohorts, including 152 cases and 64 controls, respectively. Para-aortic lymph node, common iliac, external iliac, internal iliac, obturator, presacral, and groin nodal regions were delineated as sub-CTV manually in the cohort including 152 cases. Then, the 152 cases were randomly divided into training (96 cases), validation (36 cases), and test (20 cases) groups for the training process. Each structure was individually trained and optimized through a deep learning model. An additional 64 cases with 6 different clinical conditions were taken as examples to verify the feasibility of CTV generation based on our model. Dice similarity coefficient (DSC) and Hausdorff distance (HD) metrics were both used for quantitative evaluation.

Results:
Comparing auto-segmentation results to ground truth, the mean DSC value/HD was 0.838/7.7mm, 0.853/4.7mm, 0.855/4.7mm, 0.844/4.7mm, 0.784/5.2mm, 0.826/4.8mm and 0.874/4.8mm for CTV_PAN, CTV_common iliac, CTV_internal iliac, CTV_external iliac, CTV_obturator, CTV_presacral, and CTV_groin, respectively. The similarity comparison results of six different clinical situations were 0.877/4.4mm, 0.879/4.6mm, 0.881/4.2mm, 0.882/4.3mm, 0.872/6.0mm, and 0.875/4.9mm for DSC value/HD, respectively.

Conclusion:
We have developed a deep learning-based approach to segmenting lymph node sub-regions automatically and assembling high-quality CTVs according to clinical needs in cervical cancer radiotherapy. This work can increase the efficiency of the process of cervical cancer detection and treatment.
Medicinal Plant-rich Diet: A Potential Therapeutic Role in Colorectal Cancer
Authors: Tripathi Pankaj Kumar , Jain Chakresh Kumar 
Published: September 2023

Background:
Colorectal cancer is estimated to become the leading cause of cancer
death worldwide. Since most of the available therapies affect vital organs such as heart and liver,
herbal remedies as a substitute therapy have been reported in several evidence-based studies.

Objective:
Medicinal plants exhibit a diverse range of bioactive elements known for their medicinal
properties, such as anti-inflammatory, anticancer, antioxidant, and antimicrobial effects. Phytochemicals
present in medicinal plants significantly trigger different signaling pathways, contributing
to their therapeutic activities. This review covers a comprehensive summary of the therapeutic
potential of an herbal diet in treating colorectal cancer and other ailments. Special attention will
be given to exploring the interactions of medicinal plants with the microbiota and their associations
with cancer pathways.

Conclusion:
A medicinal plant rich in bioactive compounds is a therapeutic option for colorectal
cancer and potent cardioprotective and hepatoprotective agents. These bioactive compounds have
demonstrated the ability to impede the growth of cancerous cells and trigger apoptosis. Our findings
suggest that pomegranate, garlic, soybean, olive, green tea, papaya, and grapes are potential
medicinal plants for combating cancer and related side effects. Bioactive compounds can modulate
the gut microbiota's metabolism, and short-chain fatty acid production shows cardioprotective effects
and reduces the risk of colorectal cancer. Hence, it can be stated that the interaction between
a medicinal plant-rich diet and the gut microbiota plays a crucial role in preventing colorectal cancer
and cardiac arrest.