bluuebunny/crossref_metadata_2025_split huggingface dataset:
Macroscopic and multiple metastases in sentinel lymph node biopsy are respectively associated with poor prognosis in early oral cancer
Authors: Kondo Takahito , Tsukahara Kiyoaki , Kawakita Daisuke , Yoshimoto Seiichi , Miura Kouki , Sugasawa Masashi , Chikamatsu Kazuaki , Matsuzuka Takashi , Oze Isao , Kitamura Morimasa , Murakami Yoshiko , Otozai Shinji , Shinozaki Takeshi , Ohba Shinichi , Araki Koji , Mizumachi Takatsugu , Sato Dai , Wakisaka Naohiro , Hirakawa Hitoshi , Hasegawa Yasuhisa 
Published: June 2022

Abstract
A multicenter, randomized controlled phase III trial was conducted on sentinel lymph node biopsy (SLNB) and elective neck dissection for T1 (depth of invasion ≥ 4 mm)-T2N0M0 oral cavity squamous cell carcinoma. This study identified factors associated with poor prognosis in patients who underwent SLNB based on a subgroup analysis of this trial. We analyzed 418 sentinel lymph nodes (SLNs) from 132 patients who underwent SLNB. The metastatic SLNs were classified into three categories based on size—isolated tumor cells: <0.2 mm, micrometastasis: ≥0.2 mm and < 2 mm, and macrometastasis: ≥2 mm. Three groups were formed based on the number of metastatic SLNs: no metastasis, 1 metastatic node, and ≥ 2 metastatic nodes. The size and number of metastatic SLNs on survival was evaluated using Cox proportional hazard models. Patients with macrometastasis and ≥ 2 metastatic SLNs had worse overall survival (OS) and disease-free survival (DFS) after adjustment for potential confounders (HR for OS: macrometastasis, 4.85; 95% CI: 1.34–17.60; ≥2 metastatic SLN, 3.63; 95% CI: 1.02–12.89; HR for DFS: macrometastasis, 2.94; 95% CI: 1.16–7.44; ≥2 metastatic SLN, 2.97; 95% CI: 1.18–7.51). In patients who underwent SLNB, a poorer prognosis was associated with macrometastasis or having ≥ 2 metastatic SLNs.
Urbanization and plant diversity influence different aspects of floral phenology
Authors: Sexton Aaron N. , Benton Sarah , Emery Sarah M. 
Published: June 2022

Abstract
Plant phenologies can shift as global temperatures rise and landscapes become human dominated. Some of the most pronounced shifts in phenologies have been documented in urban areas, where surface temperatures can reach 5–7℃ warmer than surrounding rural areas. In this study, we examined how floral phenology—the initiation, peak, and duration of floral events — shifted in grasslands across an urbanization gradient in Louisville, Kentucky, a city with one of the most severe urban heat islands in the US. Our objectives were to understand 1) how urbanization influences floral phenology 2) if high-quality habitats with increased habitat patch size and plant richness could offset some effects of urbanization, and 3) if species responses varied across seasons. We found that average first date of flowering and peak abundance date occurred 1–2 weeks earlier in urban compared to rural areas. However, we found that floral duration was longest in sites with high plant richness, regardless of urbanization. We also found that summer-flowering species increased their floral duration in urban areas while spring and fall-flowering species shortened theirs. These differences in seasonal responses lead to an “urban summer spillage” effect where summer-flowering species are able to move into the temporal niche of spring and fall species in urban habitat patches. These shifts could lead to a reshuffling of communities and novel plant-plant competitive interactions or plant-animal interactions in the urban core, with lasting implications for urban conservation.
Evaluation of Corneal Tomographic, Densitometric and Aberrometric Features Following Accelerated Corneal Cross-Linking in progressive keratoconus
Authors: Mohebbi Masoumeh , Samavat Bijan , Mohammadi Abbas 
Published: June 2022

Abstract
Background: To evaluate the 12 months changes in tomographic, densitometric, and aberrometric parameters in keratoconic eyes after accelerated corneal cross-linking (CCL) and classify densitometric course in different stages of the keratoconus separately (Mild, moderate and severe).Methods: In a prospective observational study, 67 keratoconic eyes of 67 patients that underwent accelerated epithelium-off corneal cross-linking (9 mW/cm2 and 10 minutes) for treatment of progressive keratoconus were included. Corneal tomographic, densitometric, and aberrometric values obtained using the Pentacam HR were recorded at the baseline and 3, 6 and 12 months post-operatively. Result: One year after treatment, corrected distance visual acuity (CDVA) was improved and maximum keratometry, thinnest pachymetry, higher order and total Root Mean Square (RMS) were significantly decreased. (p<0.001) Corneal densitometry values showed a significant elevation 3 months post-surgery compared to baseline and then decreases to baseline values at 1 year. Only the Anterior 0-2 mm zone densitometry at third month was different between three groups. RMS at 1 year had correlation with Anterior 0-2 mm, Anterior 2-6 mm, total corneal 0-2 mm and total corneal 2-6 mm densitometry values at third month. Final CDVA at 12th month follow up correlated with the Anterior 0-2 mm corneal densitometry on third month.Conclusion: Anterior 0-2 mm zone densitometry at third month post accelerated CCL can be used to detect different staging of keratoconus. Due to correlation between final aberrometric and peak densitometric values in keratoconic eyes, peak densitometric values can be used as a prognostic factor for the final visual outcomes after accelerated CCL.
Effects of Cytoreductive Nephrectomy on Nivolumab Outcomes in Patients with Metastatic Clear Cell Renal Carcinoma: A Retrospective Observational Real-Life Data of Turkish Oncology Group
Authors: Ocak Birol , Sahin Ahmet Bilgehan , Ertürk Ismail , Korkmaz Mustafa , Erdem Dilek , Cakıroglu Umut , Karaca Mustafa , Dirican Ahmet , Olmez Omer Fatih , Aydın Sabin Göktaş , Gökyer Ali , Küçükarda Ahmet , Gülmez Ahmet , Yumuk Perran Fulden , Demircan Nazim Can , Oyman Abdilkerim , Sakalar Teoman , Karataş Fatih , Demir Hacer , Yasin Ayse Irem , Deligönül Adem , Dakiki Bahar , Goktug Mehmet Refik , Avcı Okan , Tacar Seher Yildiz , Turhal Nazım Serdar , Deniz Gulhan Ipek , Kacan Turgut , Cubukcu Erdem , Evrensel Türkkan 
Published: June 2022

Abstract
Renal cell carcinoma is the fourteenth most common cancer in the world with a male to female ratio of 2:1, and clear cell renal cell carcinoma (ccRCC) is the most common histological subtype. Nivolumab is preferred as subsequent therapy in patients with metastatic ccRCC who show progress after at least one line of anti-vascular endothelial growth factor (anti-VEGF) agents. For several decades, removal of the primary tumor, called cytoreductive nephrectomy, was the cornerstone in the treatment of newly diagnosed metastatic ccRCC. There is limited information about how cytoreductive nephrectomy affects survival outcomes in metastatic ccRCC patients treated with nivolumab. In our study, we aimed to investigate the effect of cytoreductive nephrectomy on nivolumab survival outcomes in metastatic ccRCC patients. Our study included 106 de novo metastatic ccRCC patients with a history of nephrectomy at the time of diagnosis from 20 oncology centers in the Turkish Oncology Group. Multivariate Cox regression analysis was performed to investigate the factors affecting survival in patients receiving nivolumab. The median age of the patients was 60.0 (minimum 18.7-maximum 79.2) years. Eighty-three (78.3%) of the patients had undergone cytoreductive nephrectomy. The median overall survival (OS) of the patients receiving nivolumab was 22.7 months (95% CI 16.1–29.3), and the median time-to-treatment discontinuation (TTD) was 12.0 months (95% CI 8.7–15.3). In the multivariate analysis, cytoreductive nephrectomy (p = 0.011) and the International Metastatic RCC Database Consortium (IMDC) risk score (p = 0.024) were among the significant factors affecting TTD, and the IMDC risk score (p = 0.006) was among the significant factors affecting OS. Our study showed that TTD of nivolumab was longer in metastatic ccRCC patients treated with cytoreductive nephrectomy and progressed after at least one line of anti-VEGF agents.
Exploring factors influencing risky behaviors in patients with bipolar disorders using logistic regression model
Authors: Tan Wenyan , He Zhen-fan , Luo Yong-xin , Chen Weiye , Zeng Hong-hao , Luo Jianfeng , Zhong Jiamin , Weng Heng , Lin Haicheng , Chen Xin-lin 
Published: June 2022

Abstract
Purpose
To build a predictive model for predicting risky behaviors of the bipolar disorders (BD) patients in the Guangdong during years 2010–2020; and to explore the specific influencing factors of risky behaviors.
Methods
Data of BD patients was acquired from the Guangdong Mental Health Center Network Medical System (GDMHS). The data was randomly divided into a primary cohort and a validation cohort. Social-demographic and clinic factors in the primary cohort were screened using univariate logistic regression and multivariate logistic regression model to identify factors associated with risky behaviors. And then, the statistically significant factors were utilized to develop a predictive model. The data of the validation cohort was utilized to the above predictive model for verifying the degree of fit of this model.
Results
The prevalence of risky behaviors of BD was 2%. Multivariate logistic regression revealed that related factors for risky behaviors of BD mainly contained poverty, younger age, terrible sleeping status, worse treatment effect, lacking of insight of BD, poor medication compliance, moodiness and history of adverse drug reaction.
Conclusion
The model, based on clinical and socio-demographic factors, provides some usability as a prediction scheme. In addition, the model can also be combined with other diagnostic evidences, such as the brain imaging, genetics and the blood-based biomarker to develop more complete and multi-omics models in future.
Agent-based model using GPS analysis for infection spread and inhibition mechanism of SARS-CoV-2 in Tokyo
Authors: Murakami Taishu , Sakuragi Shunsuke , Deguchi Hiroshi , Nakata Masaru 
Published: June 2022

Abstract
Analyzing the SARS-CoV-2 pandemic outbreak based on actual data while reflecting the characteristics of the real city provides beneficial information for taking reasonable infection control measures in the future. We demonstrate agent-based modeling for Tokyo based on GPS information and official national statistics and perform a spatiotemporal analysis of the infection situation in Tokyo. As a result of the simulation during the first wave of SARS-CoV-2 in Tokyo using real GPS data, the infection occurred in the service industry, such as restaurants, in the city center, and then the infected people brought back the virus to the residential area; the infection spread in each area in Tokyo. This phenomenon clarifies that the spread of infection can be curbed by suppressing going out or strengthening infection prevention measures in service facilities. It was shown that pandemic measures in Tokyo could be achieved not only by strong control, such as the lockdown of cities, but also by thorough infection prevention measures in service facilities, which explains the curb phenomena in real Tokyo.
Genetic diversity analysis of different populations of Lutjanus kasmira based on SNP markers
Authors: Zhao Fangcao , Guo Liang , Zhang Nan , Yang Jingwen , Zhu Kecheng , Liu Baosuo , Guo Huayang , Liu Bo , Zhang Dianchang , Jiang Shigui 
Published: June 2022

Abstract
Lutjanus kasmira belongs to family Lutjanidae. Over the past 20 years, the L. kasmira population in the South China Sea has been shrinking due to climate change, pressure from human activities and inadequate food supplies. Moreover, the allometric factors of this species show interannual variation and seasonal fluctuations. The ratio of females to males is increasing annually, the proportion of sexually mature individuals and body length at sexual maturity have decreased continuously, and the mean feeding intensity and fattening degree have decreased gradually. In this study, single nucleotide polymorphism (SNP) data obtained from restriction site-associated DNA sequencing (RAD-seq) were used to assess the genetic diversity of L. kasmira in Zhubi Dao (ZB) and Meiji Dao (MJ). The genome-wide nucleotide diversity (π) of the ZB population and MJ population was 0.02478 and 0.02154, respectively. The inbreeding coefficient (Fis) of the ZB population and MJ population was − 0.18729 and 0.03256, respectively. The genetic differentiation (Fst) between the ZB and MJ subpopulations was 0.00255102. The expected heterozygosity (He) of individuals from ZB and MJ was 0.33585 and 0.22098, respectively. The observed heterozygosity (Ho) of individuals from the ZB population and MJ population was 0.46834 and 0.23103, respectively. Although the ZB and MJ populations did not show significant genetic differences, genetic differentiation between them was confirmed using population structure, phylogenetic, and principal component analyses. These results indicated that the genetic diversity of the ZB and MJ populations was relatively low at the genome level, and their genetic differences were small.
First-principles study of optical properties of armchair graphene nanoribbons with divacancy defect
Authors: Song Yu-Ling , Lu Dao-Bang , Huang Xiao-Yu , Yang Yong-Ju 
Published: June 2022

Abstract
Using first-principles calculations based on density functional theory, we systematically studied the electronic structures and optical properties of armchair graphene nanoribbons (AGNRs) with divacancy defects. We found that the structure of the nanoribbon was reorganized either as a parallel oriented divacancy or a sloping oriented one, and a defect state appeared in the band structure. In the low frequency region, the optical constants were anisotropic. Compared to the optical constant of the perfect AGNR, for the sloping- and parallel-oriented divacancy defects, the imaginary parts of the dielectric functions exhibited obvious red and blue shift, respectively.
A novel glutamine metabolism-related gene signature for prognostic prediction in patients with lung adenocarcinoma
Authors: Jiang Lingyu , Wen Zhaoke , Baijun Li , zhong Yonglong 
Published: June 2022

Abstract
Background
Lung adenocarcinoma (LUAD) is the major non-small-cell lung cancer pathological subtype with poor prognosis worldwide. Glutamine metabolism (GM) plays an important role in tumor development and progression. Herein, we aimed to construct a GM-associated prognostic gene signature to predict survival in patients with LUAD.
Methods
The gene expression profiles of patients with LUAD were downloaded from the Cancer Genome Atlas (TCGA), and two independent datasets for validation were downloaded from the Gene Expression Omnibus (GEO). 41 GM-related genes were downloaded from the previous literatures and used to establish GM-related risk model (names as Score). The prognostic GM-associated gene signatures were identified using univariate Cox and LASSO analyses. Kaplan-Meier and receiver operating characteristic (ROC) curves were performed to validate the predictive efficacy of the prognostic signatures. The correlation between the GMScore and tumor-infiltrated immune cells was evaluated using CIBERSORTx analysis. A nomogram was used to predict the survival probability of LUAD based on GMScore.
Results
We constructed a prognostic signature comprising 7 GM-related genes (AMDHD1, GAPDH, GCLC, GLS2, HAL, SLC38A2, SLC7A5). The Kaplan-Meier curves validated the reliable predictive ability of the prognostic signature in TCGA and two GEO datasets (p < 0.001, p = 0.001, and p = 0.003, respectively). The area under the curve (AUC) of the ROC curves validated the predictive accuracy of the risk model. We constructed a nomogram to predict the survival probability of LUAD, and the calibration curves showed well predictive accuracy. Finally, functional analysis also revealed distinct immune status between high and low GMScore groups in LUAD.
Conclusion
Our study constructed a GM-related gene signature, and indicated that GMScore could serve as a novel biomarker for predicting patients' survival in LUAD.
Dissection of Race 1 Anthracnose Resistance in a Watermelon (Citrullus lanatus var. lanatus) Biparental Mapping Population
Authors: Bhatta Bed Prakash , Patel Takshay , Correa Edgar , Wehner Todd C. , Crosby Kevin M. , Thomson Michael J. , Metz Richard , Wang Shichen , Brun Marcel , Johnson Charles D. , Malla Subas 
Published: June 2022

Abstract
Anthracnose, caused by the fungal pathogen Colletotrichum orbiculare (Berk. & Mont.) Arx syn. lagenaria, is one of the most important diseases of watermelon in the United States and worldwide. The study was conducted to identify C. orbiculare race 1 resistance quantitative trait loci (QTL) in a ‘Charleston Gray’, resistant parent, and ‘New Hampshire Midget’, susceptible parent, biparental mapping population. The mapping population consisted of 228 F2 and the validation population consisted of 60 individuals each in BC1P1 and BC1P2. The disease severity was rated using a disease index comprising a rating scale of 0 to 100%. IciMapping was used to draw the linkage map and R/qtl non-parametric method (‘model = np’) was used to identity QTL. We identified a major disease resistance QTL, Qar1-8, on chromosome 8. The significant SNP marker S8_5149002, part of a putative coiled-coil (CC)–nucleotide-binding site (NBS)–leucine-rich repeat (LRR) (CC-NBS-LRR or CNL; ClCG08G002410), had a LOD of 14.06. The significant marker was validated on mapping populations using R package functions ‘chisq.test’, ‘wilcox.test’, ‘kruskal.test’, and ‘dunn.test’. The significant marker S8_5149002 was also tested for its ability to differentiate race 1 anthracnose resistance on 61 watermelon germplasm including 41 plant introduction (PI) lines. Hence, the diagnostic SNP marker S8_5149002 could be used for marker assisted selection (MAS) for race 1 anthracnose resistance in watermelon breeding programs.
Preparation of in situ ZIF-9 grown on sodium alginate/polyvinyl alcohol hydrogels for enhancing Cu (II) adsorption from aqueous solutions
Authors: guojun Zhang , Huiyuan Chen , Guijun Yang , Hua Fu 
Published: June 2022

Abstract
Metal-organic framework materials(ZIF-9) were loaded on Sodium alginate/polyvinyl(PVA/SA) hydrogel by in situ growth method for adsorption of heavy metal Cu (II). The structure of hydrogels composited with MOFs and polymers was designed to improve the poor mechanical properties of natural polymer gel materials and the inconvenience of powdered MOFs materials in practical applications. The adsorption results showed that the optimum adsorption process of Cu (II) pH was 5.0. The adsorption kinetics and isotherm suggest that the adsorption process follows the Freundlich isotherm and the pseudo-second-order models. The experimental maximum adsorption capacity was 98.98 mg/g, 2.6 times and 1.5 times higher than ordinary SA and PVA/SA hydrogel spheres. Synthesized hydrogel spheres were characterized by FT-IR, SEM, XRD, and XPS, which confirmed that MOF materials have grown in situ on PVA/SA hydrogel spheres. More importantly, PVA/SA@ZIF-9 exhibited exceptional mechanical stability and showed excellent recycling capability in the cyclic adsorption process.
Understanding the reaction mechanism of the CO2 and cyclohexene oxide copolymerization catalyzed by zinc(II) and magnesium(II) catalysts: a DFT approach
Authors: de Lima Lucas W. , Morais Sara Figueirêdo de Alcântara , Braga Ataualpa A. C. 
Published: June 2022

Abstract
The reaction mechanisms of carbon dioxide and cyclohexene oxide copolymerization catalyzed by four different zinc(II)-magnesium(II) catalysts were computationally studied using the density functional theory at the BP86-D3(BJ)/def2-TZVP/SMD//BP86-D3(BJ)/def2-SVP/SMD level of theory. The results showed that the most effective catalyst was the ZnMg system, in which poly(cyclohexene carbonate) was the preferred product, followed by the side product cis-cyclohexene carbonate. The QTAIM, NCI and ELF analysis performed to understand the role of metals in the reaction showed that ligands and substrates interact more strongly with zinc(II) centers compared to magnesium(II) centers. Furthermore, the Zn-I interaction at the M1 position was stronger than the Mg-I interaction at the same position. All these results indicate a synergism between the metals Zn and Mg, which makes Zn(II)Mg(II) the best combination for the reaction.
Low Latency Low Loss Media Delivery utilizing In-Network Packet Wash
Authors: Clayman Stuart , Sayıt Müge 
Published: June 2022

Abstract
This paper investigates how to carry streams of layered video using Scalable Video Coding (SVC) from servers to clients, utilizing the Packet Wash mechanism devised for the Big Packet Protocol (BPP). The mechanisms utilized are presented together with the video’s path through the network. BPP was designed to handle the transfer of packets for high-bandwidth, low-latency applications, aiming to overcome a number of issues current networks have with high precision services. One of the most important advantages of BPP is that it allows the dynamic adaption of packets during transmission. BPP is based on the idea of injecting meta-information into packets in order to provide programma-bility for network nodes on how to process those packets, and that given specific commands, a node can drop parts of the payload. The strategy BPP uses is to reduce the payload of a packet, and its size, by eliminating specific chunks. For video, this means cutting out specific segments of the transferred video, rather than dropping packets, or retrying the transmission of packets. This approach has proved to be an effective way to enhance the performance of video streaming applications, by obtaining continuous delivery, while maintaining guaranteed quality at the receiver. In this work we have successfully used an H264 Scalable Video Codec (SVC) encoded video for layered video transmission utilizing BPP, and can demonstrate video delivery with low latency and low loss in limited bandwidth environments.