bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the effect of surgery on the prognosis of non-small cell lung cancer patients with single-organ extrathoracic metastases based on the SEER database
Authors: Zheng Lijing , Wu Weishuai , Luo Shiyin , Lin Yuanfeng , Wu Jingyu , Huang Chen , Chen Qianshun , Lin Yidan , Xu Xunyu , Dai Yongmei 
Published: July 2023

Abstract
Purpose: We used the Surveillance, Epidemiology, and End Results (SEER) database to explore the effect of primary or metastatic tumor surgery vs. no surgery on the prognosis of non-small cell lung cancer (NSCLC) patients with single-organ extrathoracic metastases.
Methods: NSCLC patients with single-organ extrathoracic metastases were extracted from the SEER database. The characteristics of patients with different metastasis sites were balanced by progression-free survival, and the Kaplan‒Meier method and log-rank test were used to compare differences in cancer-specific survival (CSS). Multivariate Cox regression was performed to identify prognostic factors.
Results: There were 8592, 11886, and 2814 eligible patients with brain metastases, bone metastases, and liver metastases, respectively. Multivariate Cox regression analysis showed that surgical intervention was independently associated with the CSS of patients (P < 0.001). The surgical and nonsurgical groups were subjected to propensity score matching (PSM) (1:1). After PSM, the patients who underwent surgery in the brain metastasis and bone metastasis cohorts had a better CSS (P < 0.001). Different surgical modalities for primary tumors showed greater survival benefits before and after PSM than no surgery. After PSM, the CSS of the brain metastasis cohort receiving metastatic surgery was better than that of the nonsurgical group (P < 0.001). The median CSS of patients who underwent PMTR was longer than that of patients who underwent other surgical methods (P < 0.05).
Conclusion: In NSCLC patients with single-organ extrathoracic metastases, both primary tumor surgery and metastatic surgery exhibited better prognoses than no surgery.
Tree–wheat vertical fine root distribution in a four-year-old temperate alley-cropping system
Authors: O'Connor Claire , Choma Caroline , Delbende François , Zeller Bernhard , Manouvirer Eric , Desmyttère Hélène , Siah Ali , Waterlot Chirstophe , Andrianarisoa Kasaina Sitraka 
Published: July 2023

Abstract
Competition or complementarity between associated plants due to belowground interactions has been observed in alley-cropping systems (ACs), but the initialization of these processes remains poorly investigated. Here, we used the core-break and soil coring method to quantify the vertical tree and wheat fine root abundance and biomass down to 120 cm in a 4-year-old temperate AC. Fine roots were measured at 2 m from a reference tree (hornbeam, wild cherry or willow) in tree–wheat AC, pure-forest associated with ryegrass (FC) and wheat sole-crop (CC) plots at the Ramecourt experimental site. The mean wheat fine root abundance (WFRA) was twice as high in the CC plot (874 ± 152 m− 2) as in the AC plot (437 ± 47 m− 2). It was significantly higher for wheat associated with hornbeam than for willow, particularly at the 10 cm depth. Tree fine root abundance (TFRA) was linearly correlated with tree fine root biomass (TFRB) for hornbeam (R² = 0.79***), willow (R² = 0.77***) and wild cherry (R² = 0.54***). Using TFRA, the van Noordwijk's equation gave a better prediction of the TFRB for willow and wild cherry than for hornbeam. The mean value of the TFRA was seven times higher in the FC plot (1116 ± 97 m− 2) as in the AF plot (146 ± 24 m− 2) for all soil depths and all tree species due to the lack of nutrients from the absence of fertilization. At 4 years old, willow and hornbeam fine roots cohabited with wheat in the upper soil layer, whereas wild cherry had already developed deep fine roots under the crop rooting zone.
Novel anti-inflammatory Artemisia Naphta oil extract efficacious in in vivo mouse models of atopic dermatitis and psoriasis
Authors: Huang Hu , Tao Kan , Qin Ziyan , Guo Lili , Fitzgerald Corey , Fernández José R. , Pérez Eduardo 
Published: July 2023

Abstract

Background:Artemisia annuahas been used in traditional Chinese medicine and has recently emerged in contemporary medicine as an anti-malaria treatment due to the presence of artemisinin, and topically for cosmetics. Since Chinese regulations prohibit the use of artemisinin in consumer products, we previously developed a novel, topical, artemisinin-freeA. annuaextract byproduct called artemisia naphta (AN) oil. We demonstrated that AN oil extract was effectivein vitroand clinically in subjects with sensitive and/or acne prone skin. Given these findings, we sought to determine the therapeutic potential of AN oil extract for atopic dermatitis (AD) and psoriasis.Results:Utilizing human peripheral blood mononuclear cells, we screened for AN oil extract’s ability to inhibit T-cell mediated inflammation, a hallmark of AD and psoriasis. Results showed that AN oil extract significantly reduced T-cell Receptor induced IL-4 and IL-17A pro-inflammatory cytokine release. Given these promisingin vitroresults, we then tested AN oil extract’s activity in topicalin vivomodels for both AD and psoriasis. In the calcipotriol or MC903-AD-induced model, AN oil extract demonstrated reduction in mouse ear thickness (edema) and several serum cytokines IL-1β, IL-6, and IgE. Furthermore, AN oil extract was also effectively ameliorated lesions, significantly reduced psoriasis area and severity index score down to 5.4 and inhibited serum inflammatory mediators (IL-6, TNF-α, IL-1β) in the imiquimod-induced psoriasis mouse model.Conclusions:The results presented here make AN oil extract an attractive candidate for further development to treat AD and psoriasis as well as continued usage as a cosmetic ingredient.
A new color image secret sharing protocol
Authors: Farrán José Ignacio , Cerezo David 
Published: July 2023

Abstract
Visual cryptography aims to protect images against their possible illegitimate use. Thus, one can cipher, hash, or add watermarks for protecting copyright, among others. In this paper we provide a new solution to the problem of secret sharing for the case when the secret is an image. Our method combines the Shamir scheme for secret sharing using finite fields of characteristic 2 with the CBC mode of operation of a secure symmetric cryptographic scheme like AES, so that the security relies on that of the mentioned techniques. The resulting shares have the same resolution as that of the original image. The idea of the method could be generalized to other multimedia formats like audio or video, adapting the method to the corresponding encoded information.
MSC Classification: 68P25 , 68U10 , 94A60 , 94A62
Risk Factors and Clinical Features of Septic Arthritis in Children: A Systematic Review and Meta-Analysis
Authors: Hutaif Mohammad Qasim 
Published: July 2023

Abstract
Background: Septic arthritis is a bacterial infection of the joint space that can cause permanent disability or death in children if not treated promptly. We conducted a systematic review and meta-analysis of studies published from 1980 to December 2022 to synthesize the evidence on risk factors and clinical features of septic arthritis in children.
Methods: We searched PubMed, Embase, and Cochrane Library databases using the terms “septic arthritis”, “children”, “risk factors”, and “clinical features”. We included prospective cohort studies or randomized trials that reported on these outcomes. We assessed the quality of the included studies using the Cochrane risk of bias tool or the Newcastle-Ottawa scale. We pooled the results using random-effects models and calculated odds ratios (ORs) or mean differences (MDs) with 95% confidence intervals (CIs).
Results: We included 42 studies with a total of 6,120 children. Risk factors for septic arthritis included age younger than 3 years (OR 2.54, 95% CI 1.87-3.46), male sex (OR 1.32, 95% CI 1.14-1.53), previous joint problems or surgery (OR 2.19, 95% CI 1.50-3.20), immunodeficiency (OR 2.76, 95% CI 1.86-4.10), and recent infection or injury (OR 2.45, 95% CI 1.72-3.49). Clinical features varied but commonly included fever (OR 5.67, 95% CI 3.66-8.79), joint pain (OR 9.23, 95% CI 5.97-14.28), swelling (OR 8.41, 95% CI 5.44-13.01), and reduced movement (OR 10.12, 95% CI 6.55-15.65). The knee was the most frequently affected joint (40%), followed by the hip (28%) and ankle (11%). Staphylococcus aureus was the most common cause of infection (40%), followed by Streptococcus pyogenes (12%) and Kingella kingae (11%).
Conclusions: This review provides a comprehensive summary of risk factors and clinical features of septic arthritis in children, which can facilitate early diagnosis and treatment to prevent joint damage and systemic complications.
Conservation equations for open-channel flow: effects of bed roughness and secondary currents
Authors: Zampiron Andrea , Ouro Pablo , Cameron Stuart Murray , Stoesser Thorsten , Nikora Vladimir Ivanovic 
Published: July 2023

Abstract
Time-averaged velocity fields in uniform open-channel flows over rough beds may exhibit local spatial heterogeneities due to the effects of bed roughness and secondary currents (SCs). The latter typically originate from the turbulence anisotropy and spatial heterogeneity introduced by the solid and mixed corners (i.e., between sidewalls and water surface), but may also appear due to roughness spanwise heterogeneities, e.g., associated with patchy vegetation distributions or streamwise sediment ridges on the channel bed. In this paper, we propose rigorous conservation equations for momentum, kinetic energy and fluid stresses accounting for the contributions of bed roughness and SCs, separately. Particular attention is given to the terms regulating the energy exchanges between roughness-induced and SC-related motions, which are expected to provide information on the physical mechanisms leading to the generation of roughness-induced SCs.The proposed approach is illustrated using a large-eddy simulation of a rough-bed open-channel flow.
Species diversity of Calliphoridae (Insecta: Diptera) using Hill numbers approach in Kashmir Himalaya, India
Authors: Dar Tanveer Ahmad , Mir Altaf Hussain , Bharti Meenakshi 
Published: July 2023

Abstract

Background: Blowflies are of immense importance in medical, veterinary and forensic sciences; besides this, they also act as pollinators, parasites, predators and play an important role in decomposition and nutrient cycling. The first assessment of species richness of the Calliphoridae in the Kashmir Himalaya, an exceptionally biodiverse rich area located at an altitude of 1065 to 5441 meters above sea level in India has been recorded using Hill numbers approach.
Results: Differences were analyzed in species diversity among thirty distinct assemblages using size-based rarefaction and extrapolation approaches. The highest species richness and Shannon’s diversity were observed in the assemblages, Hafthrada (34.450 N, 74.060 E) and Arin (34.420 N, 74.640 E) due to the large sample size however, Simpson’s diversity showed altogether a different result from that of the species richness and Shannon’s diversity indicating that the available data was sufficient to determine the true species richness among the various assemblages of the research area with accuracy.
Conclusion: The present study provides baseline information on Calliphoridae diversity among thirty distinct assemblages which may prove pivotal for futuristic studies including the role of the flies in medical, veterinary and forensic sciences in the Kashmir Himalaya region, north of India.
Multi-objective Optimization Model of Truck Scheduling Problem using Cross-Dock in Supply Chain Management: NSGA-II &amp; NRGA
Authors: Haqhgoie Ahsan , Irajpour Alireza , Hamidi Nasser 
Published: July 2023

Abstract
A large percentage of the cost of most products is related to shipping and distribution costs. By the proper design of the product distribution network, as an important part of the supply chain, these costs can be reduced in the logistic activities. The use of cross-docks between suppliers and customers is a solution utilized in supply chain management to reduce costs. Cross-docks are one of the most important options for reducing time in the supply chain. Accordingly, this paper develops a multi-objective problem of scheduling the operations of trucks entering and exiting cross-docks by considering that the number of products that are unloaded or loaded by trucks is fuzzy logistic. The first objective function minimizes the maximum time to receive the products. The second objective function minimizes the emission cost of trucks. Finally, the third objective function minimizes the number of trucks assigned to the entrance and exit doors. Then, two steps are implemented to validate and modify the proposed model. In the first step, two random numerical examples in small dimensions were solved by GAMS software with min-max objective function as well as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). In the second step, due to the increasing dimensions of the problem and computational complexity, the problem in question is part of the NP-Hard problem and therefore multi-objective meta-heuristic algorithms are utilized along with validation and parameter adjustment. Therefore, non-dominated sorting genetic algorithm (NSGA-II) and non-dominated ranking genetic algorithm (NSGA) are employed to solve 30 random problems in high dimensions. Then, the algorithms were ranked using the TOPSIS method for each problem according to the results obtained from the evaluation criteria. The analysis of the results confirms the applicability of the proposed model and solution methods.
Why am I lagging? Reduced dynamics of perception and occipital cortex in depression
Authors: Song Xue Mei , Gao Yuan , Hu Yu-Ting , Scalabrini Andrea , Benedetti Francesco , Poletti Sara , Vai Benedetta , Liu Dong-Yu , Tan Zhong-Lin , Northoff Georg 
Published: July 2023

Abstract

Major depressive disorder (MDD) is characterized by reduced dynamic with abnormal slowness in emotion, thought/cognition, and movements. Is the reduced dynamic also manifest in visual perception and neural activity of occipital cortex? Various findings show reduced activity in occipital cortex including in subareas like human MT complex (hMT+) cortex in MDD; its meaning for the dynamics of visual perception in MDD remains yet unclear, though. Combining novel data in three independents acute MDD samples (totally, 109 MDD, 113 HC), we characterize hMT+ in MDD in a dynamic way on perceptual (visual motion paradigm) and neural (rest/task fMRI) levels. Our main findings in MDD are: (i) reduced duration threshold difference for discriminating fast and slow-speed stimuli, leading to (ii) the perception of a longer distance for faster-speed moving gratings; (iii) reduced global representation of the brain’s spontaneous activity in hMT+ in especially faster infra slow frequencies with reverberation to subcortical and higher-order cortical regions; (iv) reduced beta value in hMT+ and higher-order cortical regions to especially faster visual stimuli; (v) correlation of these psychophysical and neural changes with symptom severity. We demonstrate reduced occipital activity in faster timescales on perceptual, and neural levels. Occipital cortex (hMT+) activity in MDD is characterized by reduced dynamics which shapes these subjects’ visual perception in an abnormal way. Beyond further establishing a basic dynamic deficit characterizing the visual system in MDD on both neural and perceptual levels, our results provide clinical opportunities for occipital-based diagnostic markers and novel therapeutic interventions in MDD.
Real-Time Traffic Prediction with Deep Reinforcement Learning and Meteorology Data
Authors: Shen Zhou (Eric) 
Published: July 2023

Abstract
Real-time traffic prediction plays a crucial role in optimizing transportation efficiency and mitigating congestion in urban road networks. In this paper, we propose a novel approach that combines deep reinforcement learning (DRL) and meteorology data for real-time traffic prediction. By integrating DRL algorithms, our approach captures the dynamic decision-making processes involved in traffic prediction, while the inclusion of meteorology data allows for a comprehensive understanding of the impact of weather conditions on traffic patterns. We conduct extensive experiments on a real-world traffic dataset and compare our method with state-of-the-art approaches. The results demonstrate the superiority of our proposed method in terms of prediction accuracy, outperforming traditional statistical models, machine learning-based approaches, and deep learning techniques. Our approach provides valuable insights for traffic management, route planning, and resource allocation in urban road networks.
Formulation and Evaluation of Voriconazole Loaded Nanoemulgel for the treatment of Onychomycosis
Authors: Lavate Shweta , Chaudhari Shilpa 
Published: July 2023

Abstract
Background: Voriconazole has been given a more potent antifungal action in-vitro and is the most commonly used drug for the treatment of onychomycosis. In this voriconazole-loaded nanoemulgel for the management of onychomycosis was developed and evaluated. This development preparation mainly delivers poorly aqueous soluble drugs across the nail. Different types of components, such as o/w nanoemulsions, were mildly stirred using the aqueous titration technique before being homogenized under high pressure to minimize the particle size. DOE software is used to develop various batches for the selection of optimized batches. Nanoemulsion containing was prepared by using, olive as oil, Tween 80, and PEG 400 as used as a surfactant and co-surfactant respectively. The gelling agent is Carbopol 934. Thioglycolic acid is used as a nail penetration enhancer. The optimized batch was evaluated for physical appearance, pH, viscosity, stress stability study, vesicle size, particle size, drug release, drug content, and stability study.
Result: Drug polymer compatibility study show that drug and excipient are compatible with each other, The formulation was found to be clear and pH is a 5.2 it is suitable for nail pH.
A nanoemulgel study of in vitro drug release revealed improved drug release, i.e. that is 68% in 8th hrs. Thus more than 90% of drug release will happen in 24th hrs. which shows good controlled release. Zone of inhibition of optimized batch was found to be 9.8mm.
Conclusion: Voriconazole-loaded nanoemulsion was created in the current study by utilizing olive oil, Tween 80, and PEG 400. As a result of the drug's antifungal effectiveness against C. albicans, the F16 may be able to alleviate onychomycosis symptoms more quickly than with traditional treatment. Thus, nanoemulgel is a formulation for the topical treatment of onychomycosis that is safe and effective.
Psychometric Properties of Turkish Orthorexia Nervosa Inventory in a Clinical Adolescent Sample
Authors: Turan Bahadır , Yıldırım Selman , Bilginer Samiye Çilem , Akıncı Mehmet Akif 
Published: July 2023

Abstract

PURPOSE:
Orthorexic tendencies are increasingly prevalent among children and adolescents This study set out to investigate the reliability and validity of the Turkish version of the Orthorexia Nervosa Inventory (ONI) in a clinical adolescent sample.
METHODS:
266 adolescents aged 12-18 years, who applied to the Department of Child and Adolescents Psychiatry were included in the study. Participants completed sociodemographic data form, Orthorexia Nervosa Inventory (ONI), Eating Attitude Test, Revised Child Anxiety and Depression Scale-Child Version and ORTO-15 scales.
RESULTS:
The Cronbach’s alpha coefficient for the ONI reached 0.92, indicating very good internal consistency. Total factor scores and Cronbach alpha values for behaviors, impairments, and emotions were found to be 0.84, 0.84, and 0.83, respectively. The CFA performed supported the three-factor structure of the ONI obtained in the first sample. The minimum discrepancy per degree of freedom = 1.89 and the model generally fit well to the structure (RMSEA = 0.058, SRMR = 0.033, CFI = 0.92, TLI = 0.91).
DISCUSSION:
This study has shown that the Turkish version of the ONI is a valid and reliable scale for specifying the tendency for Orthorexia Nervosa in a Turkish adolescent population. These findings contribute in several ways to our understanding of orthorexic tendencies and provide a basis for more concrete research data that can be obtained by using the ONI, which is a reliable scale in studies to be conducted among adolescents.
Level of evidence
Level V, descriptive cross-sectional study.
In vitro assessment of copper nanoparticle gel as a futuristic drug delivery agent against periodontal pathogens
Authors: Mahale Swapna , Dhadse Prasad , Mahale Arunkumar 
Published: July 2023

Abstract

Background
Nanotechnology delivers a novel mode for restricting alveolar infections. The particles intermingle through the bacterial cell wall improving antimicrobial action. Its amalgamation and glazing displayed greater germicidal properties. Arraying nanoparticles show sustained delivery of bactericidal property which ultimately aims the dentinal matrix. This study aimed to in vitro appraise the physical properties, antimicrobial, cytotoxicity, time-kill assay, anti-biofilm formation, and anti-inflammatory and antioxidant activity of Cu nanoparticle gel against periodontal pathogens.
Materials & Methods
Copper nanoparticles (procured from the Nano Research Laboratory, Jharkhand, India) gel was prepared and assessed for minimum inhibitory and minimum bactericidal concentration, MTT assay (cytotoxicity against periodontal and mouse fibroblasts), and time-kill assay at different time intervals against periodontal pathogens. Antibiofilm formation by the cell culture method, anti-inflammatory activity against MMP-9 using zymography and antioxidant properties by the DPPH assay was assessed.
Results
The pH of CuNP gel was 5.76 and the viscosity at room temperature was 322.5 cPs. The IC50 value of CuNP for mouse fibroblasts (L939) was 49.12 ± 1.67, and against periodontal fibroblasts was at 3.12 µg/ml, displayed 98% of cell viability. At 1hr, the time-kill assay exhibited no growth of periodontal pathogens when followed for 48 hr. The MIC value at a concentration of 0.4 µg/ml for P.gingivalis, F.nucleatum, P. intermedia, T. forsythia, and at 3.12 µg/ml for A.a were sensitive to CuNP gel. Whereas the MBC value at 0.4 µg/ml to F. nucleatum and T forsythia, at 0.8 µg/ml to P. intermedia, at 1.6 µg/ml to P. gingivalis and at 25 µg/ml to A.a disclosed no growth. Antioxidant assay determined inhibition at 55.6%. Anti-inflammatory and anti-biofilm activity presented weak activity against copper nanoparticle gel as compared to chlorhexidine.
Conclusion
Copper nanoparticles prepared by biological synthesis are cost-effective, eco-friendly and its in-vivo assessment as local drug delivery in the treatment of periodontal pocket is desired.