bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pre-existing autoimmune disease as a risk factor for immune-related adverse events in cancer patients receiving immune checkpoint inhibitors
Authors: Sumimoto Hidetoshi , Noda Satoshi , Koide Hiroyoshi , Douke Yutaro , Sakai Kosuke , Nishikawa Akihito , Tomioka Azumi , Hori Maki , Nakato Hiromi , Kimura Yuri , Tokuda Aya , Takano Atsushi , Teramoto Koji , Murata Satoshi , Daigo Yataro 
Published: August 2023

Abstract
Immune checkpoint inhibitors (ICIs) are widely used for cancer treatment, but approximately 30% of cases experience immune-related adverse events (irAEs). Patients with pre-existing autoimmune diseases (AIs) are often advised against ICIs due to the higher risk of irAEs. However, there hasn't been sufficient risk assessment for AIs. We analyzed 478 cases receiving anti-PD-(L)1 Ab and/or anti-CTLA4 Ab at our hospital between April 2017 and May 2022, of which 28 (5.9%) had pre-existing AI. We analyzed the odds ratio (OR) of gender, age, performance status, cancer type, ICI type, combined agents, best overall response, and pre-existing AI using logistic regression. The results showed that pre-existing AI increased the risk of irAE occurrence (OR: 2.52, p = 0.033) and ICI discontinuation due to irAE (OR: 3.32, p = 0.006). Patients with AI had shorter irAE-free survival (median: 5.7 months) compared to those without AI (10.4 months) (p = 0.035). Frequent irAEs; dermatitis, pneumonitis, hepatitis, and hypothyroidism, were often associated with pre-existing AI. AI flared up in 6 cases (37.5%). AI activity didn't affect irAE occurrence. Grade 3 or higher irAEs were seen in 6 out of 21 (28.6%) AI cases with irAEs. Although complicated AI increases the risk of irAEs, closely monitoring patients may allow ICI treatment.
Optimizing Traffic Signal Control: A Scalable Approach with Federated Reinforcement Learning
Authors: Bao Jingjing , Wu Celimuge , Lin Yangfei , Zhong Lei , Chen Xianfu , Yin Rui 
Published: August 2023

Abstract
Intelligent Transportation has seen significant advancements with Deep Learning (DL) and Internet of Things, making Traffic Signal Control (TSC) research crucial for reducing congestion, travel time, emissions, and energy consumption. Reinforcement Learning (RL) has emerged as the primary method for TSC, but centralized learning poses communication and computing challenges, while distributed learning struggles to adapt across intersections. This paper presents a novel approach using Federated Learning (FL)-based RL for TSC. FL integrates knowledge from local agents into a global model, overcoming intersection variations with a unified agent state structure. Additionally, the output layer's parameters are not aggregated to handle different intersection settings; instead, fine-tuning is performed after model training for deployment. Extensive experiments demonstrate reduced queuing and waiting times globally, and successful scalability of the proposed model is validated on a real-world traffic network in Monaco, showing its potential for new intersections.
Concomitant training in robotic and laparoscopic liver resections of low-to-intermediate difficulty score: a retrospective analysis of the learning curve
Authors: Bernardi Lorenzo , Balzano Emanuele , Roesel Raffaello , Ghinolfi Davide , Vagelli Filippo , Menconi Giacomo , Petrusic Antonietta , Mongelli Francesco , Majno-Hurst Pietro , De Simone Paolo , Cristaudi Alessandra 
Published: August 2023

Abstract
In the setting of minimally invasive liver surgery (MILS), training in robotic liver resections (RLR) usually follows previous experience in laparoscopic liver resections (LLR). The aim of our study was to assess the learning curve (LC) of RLR in case of concomitant training with LLR. We analyzed consecutive RLRs and LLRs by a surgeon trained simultaneously in both techniques (Surg1); while a second surgeon trained only in LLRs was used as control (Surg2). A regression model was used to adjust for confounders and a Cumulative Sum (CUSUM) analysis was carried out to assess the learning phases according to operative time and difficulty of the procedures (IWATE score). Two-hundred-forty-five procedures were identified (RobSurg1, n = 75, LapSurg1, n = 102, LapSurg2, n = 68). Mean IWATE was 4.0, 4.3 and 5.8 (p < 0.001) in each group. The CUSUM analysis of the adjusted operative times estimated the learning phase in 40 cases (RobSurg1), 40 cases (LapSurg1), 48 cases (LapSurg2); for IWATE score it was 38 cases (RobSurg1), 33 cases (LapSurg1), 38 cases (LapSurg2) respectively. Our preliminary experience showed a similar LC of 40 cases for low and intermediate difficulty RLR and LLR. Concomitant training in both techniques was safe and may be a practical option for starting a MILS program.
PyPI: an internet-enabled learning tool to boost learner motivation for pest science
Authors: Takefuji Yoshiyasu 
Published: August 2023

Abstract
Instructors are always interested in methods to activate learner incentives and motivation to increase learning effectiveness. This paper introduces the Python Package Index (PyPI) as a powerful tool to maximize learner incentives on software and presents an example of its application in pest science. The more useful the PyPI application is, the more it will be downloaded worldwide, providing an external review for the learner and strengthening their incentive. However, many existing tutorials on PyPI, including the official site, are not updated on the twine library for uploading files to the PyPI site. This paper presents an updated tutorial on using PyPI for counting disaggregated objects such as bugs and pests, and for software reproducibility validation via Code Ocean. Additionally, generative AI is introduced as an indispensable assistant for tasks such as understanding technical terms and providing solutions for encountered problems.
Urban community engagement through “student-led science” for dengue prevention during the COVID-19 pandemic in Córdoba, Argentina
Authors: Estallo Elizabet , Madelon Magali , Benitez Elisabet , Martín Mía Elisa , Stewart Anna , Ludueña Francisco 
Published: August 2023

Abstract
Traditional mosquito vector control methods, such as insecticide applications, have proved ineffective in controlling the spread of dengue fever. The study aimed to assess the effectiveness of community engagement through student-led science assignments in promoting dengue fever prevention and socio-ecological factors in the temperate urban city of Córdoba, Argentina. This study assesses community perceptions, knowledge, attitudes, and preventive practices regarding dengue fever and its vector. It was cross-sectional, conducted during the COVID-19 quarantine, when schools switched to online education, serving as a basis for further research. The results showed a significant increase in knowledge about the vector and disease and the adoption of good preventive practices by the respondents. The findings underscore the importance of community engagement as a means of modifying the behavior of individuals and the community. Student-led science was identified as a useful tool in reaching households and leading to a change in attitudes in the home. Furthermore, the results highlighted the need for school programs with curricula that address vector biology and the prevention of vector-borne diseases throughout the year. The study provides valuable insights into the effectiveness of community engagement through student-led science assignments in promoting dengue fever prevention and socio-ecological factors. The findings suggest that this approach could be used as a strategy to control the spread of dengue fever in other regions affected by the disease. Additionally, the study emphasizes the importance of developing sustainable and effective methods of vector control that take into account the local ecological-community context.
YKL-40 serum levels are predicted by inflammatory state, age and diagnosis of idiopathic inflammatory myopathies
Authors: Mercado Mónica Vázquez-Del , Perez-Vazquez Felipe , Marquez-Aguirre Ana L , Martínez-García Erika-Aurora , Chavarria-Avila Efrain , Ramos-Becerra Carlos , Aguilar-Vazquez Andrea , Godínez-Rubí Marisol , Martín-Márquez Beatriz-Teresita , Gómez-Limón Livier , Márquez-De-La-Paz Jesús-Guillermo , Rubio-Arellano Edy-David , Pizano-Martínez Oscar 
Published: August 2023

Abstract
YKL-40 increase according to the aging process, and its functions have been associated with tissue remodeling and systemic inflammation. In Rheumatoid Arthritis (RA) it has been proposed as a possible biomarker of activity and severity, however; in the field of idiopathic inflammatory myopathies (IIM) the role of YKL-40 in IIM is not clear. Thus, we aimed to evaluate if there is an association between the serum levels and muscle tissue expression of YKL-40 with age, IIM phenotype, muscle strength and myositis disease activity. The main finding was that age is the most important variable that affects the YKL-40 serum levels. In muscle biopsy, we observed that YKL-40 is mainly expressed in infiltrating lymphoid cells than in muscle tissue. Using ANCOVA according to the b-coefficients, YKL-40 serum levels are predicted by inflammatory state, age, and IIM diagnosis.
Spectra of Multiply Charged Hydrogen and Nitrogen Ions in the Composition of Two and Multi-element Laser Plasma
Authors: Japakov A. I. , Bedilov R. M. , Azamatov Z. T. , Kamalova J. O. , Davletov I. Y. 
Published: August 2023

Abstract

The charge, energy, and spatial characteristics of multiply charged ions (hydrogen and nitrogen) of a two and multi-element laser plasma were studied using the laser ionization mass spectrometry method. The targets were made of pure C (i.e. graphite), Cu, polyethylene (CH2)n (consisting of hydrogen atoms (H) in a bound state), Cu[H] (with embedded H atoms) and Ti[H,N], Zr[H,N] (consisting of hydrogen atoms (H) and (N)) in the form of a thick cylinder with a thickness of l = 2 mm and a radius of R = 0.5 cm. It has been experimentally shown that the properties of both light and heavy ions in plasma depend both on the conditions for the entry of gas atoms into the target and on secondary processes occurring after the formation of a dense plasma on the surface of the sample. It has been found that the presence of light gas atoms significantly affects the parameters (for example, intensity and charge multiplicity) of heavier ions.
Gafchromic EBT3 film provides equivalent dosimetric performance to EBT-XD film for stereotactic radiosurgery dosimetry
Authors: Smyth Lloyd , Alves Andrew , Collins Katherine , Beveridge Sabeena 
Published: August 2023

Abstract
The accurate assessment of film results is highly dependent on the methodology and techniques used to process film. This study aims to compare the performance of EBT3 and EBT-XD film for SRS dosimetry using two different film processing methods. Experiments were performed in a solid water slab and an anthropomorphic head phantom. For each experiment, the net optical density of the film was calculated using two different methods; taking the background (initial) optical density from 1) unirradiated film from the same film lot as the irradiated film (stock to stock (S-S) method), and 2) a scan of the same piece of film taken prior to irradiation (film to film (F-F) method). EBT3 and EBT-XD performed similarly across the suite of experiments when using the green channel only or with triple channel RGB dosimetry. The dosimetric performance of EBT-XD was improved across all colour channels by using an F-F method, particularly for the blue channel. In contrast, EBT3 performed similarly well regardless of the net optical density method used. Across 21 SRS treatment plans, the average per-pixel agreement between EBT3 and EBT-XD films, normalised to the 20 Gy prescription dose, was within 2% and 4% for the non-target (2 - 10 Gy) and target (>10 Gy) regions, respectively, when using the F-F method. At doses relevant to SRS, EBT3 provides comparable dosimetric performance to EBT-XD. In addition, an S-S dosimetry method is suitable for EBT3 while an F-F method should be adopted if using EBT-XD.
Development of a neutralization monoclonal antibody with a broad neutralizing effect against SARS-CoV-2 variants
Authors: Ko Hae Li , Lee Deuk-ki , Kim Younghyeon , Jang Hui Jeong , Lee Youn Woo , Lee Ho-Young , Seok Sang-Hyuk , Park Jun Won , Limb Jin-Kyung , On Da In , Yun Jun-Won , Lyoo Kwang-Soo , Song Daesub , Yeom Minjoo , Lee Hanbyeul , Seong Je Kyung , Lee Sungjin 
Published: August 2023

Abstract
Background
The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants has challenged the effectiveness of current therapeutic regimens. Here, we aimed to develop a potent and broad SARS-CoV-2 antibody therapeutic by screening a scFv library with the spike protein receptor-binding domain (RBD) via phage display.
Methods
SKAI-DS84 was identified through phage display, and it underwent pseudovirus neutralization assays, authentic virus neutralization assays, and in vivo neutralization efficacy evaluations. Furthermore, surface plasmon resonance (SPR) analysis was conducted to assess the antibody's physical characteristics and measure its affinity.
Results
The selected clones were converted to human IgG, their binding affinities with the variant RBDs were confirmed, and SKAI-DS84 was selected. Using pseudoviruses, we confirmed its high neutralizing effects against SARS-CoV-2 wild-type, B.1.617.2, B.1.1.52, and subvariants. SKAI-DS84 showed potent neutralizing activity against various SARS-CoV-2 variants. We also tested the neutralizing effect of SKAI-DS84 on authentic viruses in vivo and observed a reduction in viral replication and improved lung pathology. We performed binding and epitope mapping experiments to understand the mechanism underlying neutralization and identified quaternary epitopes formed by the interaction between the RBDs as the target for SKAI-DS84.
Conclusions
Overall, this study highlights the potential of SKAI-DS84 as a neutralizing antibody against broadly SARS-CoV-2 and its variants.
Complexes of Cationic Monoheteryl-Substituted Porphyrin with Synthetic and Natural Nucleic Acids
Authors: Lebedeva Natalia , Yurina Elena , Guseinov Sabir S. 
Published: August 2023

Abstract
Porphyrins, owing to their unique physicochemical properties, hold great potential as candidates for the synthesis of new materials and active pharmaceutical drugs. The introduction of functional groups into porphyrin structures enables the creation of novel compounds with finely tuned structural and optical properties, as well as complex-forming abilities. In this study, spectral and thermochemical investigations were conducted to explore the complex formation of a cationic porphyrin containing benzimidazole residues with synthetic (poly[d(GC)2], poly[d(AT)2]) and natural (ssDNA, ctDNA) nucleic acids. It was observed that the porphyrin forms complexes with poly[d(AT)2] and ssDNA, localized within the major groove of the biopolymer. Additionally, the porphyrin forms multiple intercalation complexes with varying geometries when interacting with poly[d(GC)2] and ctDNA. These findings demonstrate a new potential for enhancing the selective binding of ligands with nucleic acids (NA). Moreover, the study highlights the methodological aspect that establishing the type of formed complexes based on ligands' electronic absorption spectra, known as "fingerprints," may lead to incorrect conclusions.
Population-based assessment of hypogonadism and testosterone replacement therapy in hypogonadal men: is there a potential prostate cancer risk?
Authors: Asanad Kian , Horns Joshua , Driggs Nathan , Samplaski Mary , Hotaling James 
Published: August 2023

Abstract
We sought to understand the relationship between hypogonadism and testosterone replacement therapy (TRT) in hypogonadal men on the risk of developing localized and metastatic prostate cancer. We used the Merative MarketScan database of commercial claims encounters to identify men diagnosed with hypogonadism. These men were matched to eugonadal men who served as controls. Multivariate negative binomial regression analysis of prostate cancer diagnoses, hypogonadism, and TRT in hypogonadal men adjusting for various known confounding factors was used understand the impact of hypogonadism and TRT on prostate cancer risk. We identified 3,222,904 men who met inclusion criteria, of which 50% were diagnosed with hypogonadism (1,611,452) and each were matched to a control (1,611,452). The incidence of prostate cancer was 2.16%, 1.55%, and 1.99% in controls, hypogonadal men on TRT, and hypogonadal men without TRT, respectively (p < 0.001). Untreated hypogonadism was independently associated with a decreased the risk of localized prostate cancer (IRR 0.46, 95% CI 0.43–0.50, p < 0.001) compared to eugonadal controls. Hypogonadal men on TRT also had a significantly decreased risk of localized prostate cancer (IRR 0.49, 95% CI 0.45–0.53, p < 0.001). Furthermore, hypogonadal men on TRT (IRR 0.21, 95% CI 0.19–0.24, p < 0.001) or without TRT (IRR 0.20, 95% CI 0.18–0.22, p < 0.001) both had significantly decreased risk of metastatic prostate cancer, respectively. Our population-based assessment suggests that untreated hypogonadism in men is associated with a 50% decreased incidence of localized prostate cancer and an 80% decreased incidence of metastatic prostate cancer. TRT in hypogonadal men was also associated with a decreased risk of subsequent prostate cancer. Further research is needed to better understand the relationship between testosterone deficiency and TRT in hypogonadal men on the of risk prostate cancer.
The investigation of circRNA profiling reveals the regulatory role of the has_circ_0000375/miR-7706 pathway in breast cancer
Authors: Wang Haoqi , Liu Fei , Xue Jing , Liu Yaping , Gao Wei , Yang Shan , Mi Yunzhe , Zhang Xi , Gao Shan , Geng Cuizhi 
Published: August 2023

Abstract
Circular RNAs (circRNAs) take an effect on tumorigenesis and progression. However, circRNAs have not been systematically identified in breast cancer (BC) as crucial regulators in multitudinous biological processes. This study is conducted to explore novel circRNAs in BC and the corresponding mechanisms of their action. The circRNA expression profile and RNA-sequencing data about BC were respectively downloaded from public database. Differentially expressed circRNAs, miRNA, and mRNA were identified by fold change filtering. The competing endogenous RNAs (ceRNAs) network was established based on the relationship between circular RNAs, miRNAs and mRNAs. GO and KEGG enrichment analysis of the overlapped genes were carried out to predict the potential functions and mechanisms of circRNAs in BC. The CytoHubba plugin in Cytoscape was applied to identify the hub genes from the PPI regulatory network. Kaplan–Meier plotter was used to perform survival analysis of these hub genes further. Real-time PCR was performed to test the expression of circRNA in breast cancer tissues. Cell function studies including transwell analysis and CCK-8 analysis were used to investigate circRNAs’ biological functions. We identified a total of 7 differentially expressed circRNAs. After the intersection between the predicted target miRNA and the down-regulated differential miRNAs (DEmiRNAs), circRNA-miRNA interactions involving 3 circRNAs (hsa_circ_0028899, hsa_circ_0000375, hsa_circ_0000376) and 4 miRNAs (hsa-miR-934, hsa-miR-7706, hsa-miR-4443, hsa-miR-4784) were identified. Venn diagram was utilized to intersect the predicted target genes of the 4 miRNAs and the down-regulated differential genes in BC, and 149 overlapped genes were screened out ulteriorly. Additionally, we built a protein-protein interaction (PPI) network and selected six hub genes. Moreover, the survival data of BC patients suggested that low expression of ADIPOQ, LPL and LEP were significantly correlated with poor prognosis. Results from real-time PCR indicated that has_circ_0000375 was significantly down-regulated in breast cancer tissues. Functional in vitro experiments showed that over-expression of hsa_circ_0000375 can restrain proliferation, migration and invasion abilities of breast cancer cells. Further verification indicated that hsa_circ_0000375 exerted its anti-oncogene effect via sponge of miR-7706. This study constructed and analyzed a circRNA-associated ceRNA regulatory network and uncovered that hsa_circ_0000375 exerted its anti-oncogene effect via sponge of miR-7706.
Evaluation of topical adjuvant treatment of psoriasis with recombinant epidermal growth factor to control the e-regulation of EGFR: a clinical study
Authors: Sisakht Mahsa Mollapour , Rezaeinejad Aida , Didehvar Kimia , Doust-Vaghe Yasaman Kiani , Behrangi Elham , Goodarzi Azadeh , Nilforoushzadeh Mohammad Ali , Siahpoosh Zahra , Amirkhani Mohammad Amir 
Published: August 2023

Abstract
Deregulation of the epidermal growth factor receptor, which belongs to the ErbB family of receptor tyrosine kinases, is detectable in psoriasis lesions and leads to uncontrolled cell growth, proliferation and differentiation of skin cells. To investigate the effect of epidermal growth factor receptor saturation with a high concentration of epidermal growth factor in a topical cream in the clinical setting in patients with mild to moderate psoriasis, we applied the cream with 5% growth factor in 11 patients and a cream with clobetasol, urea, salicylic acid and Eucerin without growth factor as control on 11 patients in parallel. The therapeutic effect was assessed by blinded clinicians using the Psoriasis Area and Severity Index (PASI) based on severity, erythema, induration and scaling. The result of the clinical trial showed that the PASI index for the standard treatment group was 3.76±1.93 before treatment and 2.9±1.83 after treatment, and for the group receiving EGF was 3.23±2.2 before intervention and 2.52±2.05 after intervention. Although the decrease in PASI was highly significant (p <.001) in both the standard and intervention groups before and after the study, individual comparison of each patient before and after treatment showed a significant (p <.001) decrease for the intervention group compared with the control group. We conclude that EGF as an adjuvant therapy can effectively control mild to moderate psoriatic lesions without causing side effects. Future clinical trials should be conducted to explore the therapeutic effects.
Design, synthesis, and molecular dynamics simulation studies of some novel kojic acid fused 2-amino-3-cyano-4H-pyran derivatives as tyrosinase inhibitors
Authors: Najafi Zahra , Haramabadi Maryam Zandi , Chehardoli Gholamabbas , Ebadi Ahmad , Iraji Aida 
Published: August 2023

Abstract
A new series of novel kojic acid fused 2-amino-3-cyano-4H-pyran derivatives as tyrosinase inhibitors were designed, synthesized, and assessed against tyrosinase enzyme. The designed compounds can be categorized into three series: 1) 4-benzyloxy-phenyl kojopyran 6a-e, 2) 3-benzyloxy- phenyl kojopyran derivatives 6f-j, and 3) 4-benzyloxy-3-methoxy-phenyl kojopyran derivative 6k-o. Among them, 2-amino-4-(4-((4-fluorobenzyl)oxy)phenyl)-6-(hydroxymethyl)-8-oxo-4,8-dihydropyrano[3,2-b]pyran-3-carbonitrile (6b) was detected as the most potent antityrosinase compound with an IC50 value of 7.69 ± 1.99 µM with a competitive mode of kinetic inhibition as compared to kojic acid as control agent 23.64 ± 2.56 µM. Because compound 6b was produced as a racemic mixture, in silico studies were performed for both R and S enantiomers. The R- enantiomer showed critical interactions compared with the S-enantiomer. The R- enantiomer was found to establish hydrogen bonds and hydrophobic interactions with critical and highly conserved amino acids in the target protein within the enzyme's binding site. Moreover, the molecular dynamics simulations revealed that compound 6b demonstrated significant interactions with essential residues of the binding site, resulting in a stable complex throughout the entire simulation run. The drug-like and ADMET properties predictions showed an acceptable profile for these agents. Accoring to our results, it was proposed that compound 6b can serve as a drug candidate to develop more potent antityrosinase agents.