bluuebunny/crossref_metadata_2025_split huggingface dataset:
SOX1 acts as a tumor hypnotist rendering nasopharyngeal carcinoma cells refractory to chemotherapy
Authors: Lei Xin-Xing , Xia Ying , Wang Shu-Lan , Yan Min , He Bin , Wang Bo , Long Zi-Jie , Liu Quentin 
Published: March 2023

Abstract
SOX1 delays tumor progression in most non-brain cancers and is regarded as a tumor suppressor. However, head and neck squamous cell carcinoma patients with high expression levels of SOX1 are inclined to experience recurrence after initial therapy and suffer from poor prognosis. Here, we first report that an intrinsic transcription factor SOX1 induces individual nasopharyngeal carcinoma (NPC) cells to enter a quiescent state. We applied a model to mimic the process of therapeutic resistance and tumor recurrence in clinical. In a stressful culture environment, a subpopulation of SOX1-induced NPC cells was refractory to paclitaxel, a cell cycle-specific chemo drug. After treatment with chemotherapeutics, NPC cells with high levels of SOX1 maintained the quiescent state, with characteristics of low activity in protein synthesis and down-regulated cell growth signaling. Once SOX1 expression was decreased, the NPC cells could recover to a proliferative state. As cell cycle-specific chemotherapeutics targeted the proliferative state of cells, SOX1-induced drug resistance couldn’t be inherited in the reactivated NPC cells. When switching to a stress-free culture environment, the decreased SOX1 lost its transcriptional function and re-expressed MYC, a critical gene controlling cell growth. Proliferative NPC cells with low levels of SOX1 would form the dominant population again. Our study demonstrates an evolutionary trade-off between tumor progression and chemoresistance orchestrated by MYC and SOX1 in NPC. According to the dynamic role of SOX1 in different stages of cancer development, we suggest sorting SOX1 as “tumor hypnotist” instead of “tumor suppressor”.
Genome-wide association analysis uncovers novel rice blast resistance alleles
Authors: Greenwood Julian , Lacorte-Apostol Vanica , Kroj Thomas , Padilla Jonas , Telebano-Yanoria Mary , Glaus Anna , Roulin Anne , Padilla Andre , Zhou Bo , Keller Beat , Krattinger Simon 
Published: March 2023

Abstract

One of the most critical steps following genome-wide association studies (GWAS) is the identification and validation of candidate genes underlying genetic associations. Gene presence-absence and copy number variations can significantly hamper candidate gene discovery if high-quality genomic resources from specific crop cultivars are unavailable. This is particularly true for disease resistance genes, which are often located in highly dynamic genomic regions. Here, we perform a genome-wide association analysis of rice blast resistance in 500 genetically diverse rice accessions. To facilitate candidate gene identification, we produced de-novo genome assemblies of ten rice accessions that showed rice blast resistance associations. These assemblies facilitated the identification and validation of novel alleles of the rice blast resistance genes Ptr and Pia. Our work shows that GWAS in combination with whole-genome sequencing are powerful tools for gene cloning and uncovers an allelic series for the unusual Ptr rice blast resistance gene.
Are you thinking of establishing a Clinical Ethics Support Service? Lessons from the first 18 months of a new Australian service – A case study
Authors: Hoon Elizabeth , Edwards Jessie , Harvey Gill , Eliott Jaklin , Merlin Tracy , Carter Drew , Moodie Stewart , O’Callaghan Gerry 
Published: March 2023

Abstract
Background
Although the importance of clinical ethics in contemporary clinical environments is established, development of formal clinical ethics services in the Australia health system has, to date, been ad hoc. This study was designed to systematically follow and reflect upon the first 18 months of activity by a newly established committee, to examine key barriers and facilitators to establishing a new service in an Australian hospital setting.
Methods: how the study was performed and statistical tests used
A qualitative case study approach was utilised. The study gathered and analysed data using observations of committee meetings, document analysis of agendas and minutes, and semi-structured interviews with committee members to generate semantic themes. By interpreting the thematic findings in reference to national capacity building resources, this study also aimed to provide practice-based reflections for other health agencies.
Results: the main findings
An overarching theme was a strong shared commitment to supporting clinicians with difficult decisions about patient care, and with navigating difficult discussions with patients and families. The role of the new committee in providing a pathway to raise with senior managers system-wide issues experienced by clinicians was also a key theme. Consumer and community participation in the new service remained a challenge in spite of strong clinical engagement, as did unresolved governance issues and a need for clearer policy relationship between the committee and the organisation.
Conclusions: brief summary and potential implications
Considering these themes in relation to the national capacity building resources, three areas are likely to require ongoing negotiation and further development: the clinical ethics committee as link between workforce and Executive; incorporating consumers and patients; and ethical reasoning. There is scope to increase clarity for the committee on its role at a governance and policy level, and on how to engage consumers, patients and families in the practices of the service. The capacity of the committee to reflect on complex cases may be enhanced by explicitly discussing different ethical frameworks and ways of deliberating.
Interfacial and mechanical performance of chemically modified high content MWCNT/PEEK thermoplastic composites
Authors: Jin Ziang , Sun Shouzheng , Joshi Sunil Chandrakant , Han Zhenyu , Fu Hongya 
Published: March 2023

Abstract
It is difficult to increase the content of carbon nanotubes in carbon nanotubes/polyether ether ketone (CNTs/PEEK) thermoplastic composites prepared by doping carbon nanotubes into highly viscous PEEK resin using conventional methods. In this paper, a multi-walled carbon nanotubes/PEEK (MWCNT/PEEK) thermoplastic composite film with high MWCNTs content is prepared by vacuum suction filtered and hot-pressing methods. The microstructure and interfacial bonding performance of chemically modified and unmodified composites in the form of films are analyzed by molecular dynamics simulation and experiment. The results show that MWCNT can significantly improve the crystallinity of PEEK resin. Compared with the MWCNT/PEEK composites without chemical modification, the MWCNT-COOH/PEEK-OH composite film has a denser structure, and the tensile strength and elastic modulus are increased by 94.5% and 15%, respectively. The MWCNT-COOH/PEEK-OH composite films are expected to be used for interlaminar mechanical performance enhancement of CF/PEEK high-performance thermoplastic composites, which are widely used in aerospace.
On the radial limits of mappings on Riemannian manifolds
Authors: Cristea Mihai 
Published: March 2023

Abstract
We study the geometric properties of the mappings for which a generalized inversePoletsky modular inequality holds. Our approach is on Riemannian manifolds and we generalize some known theorems from the theory of analytic mappings concerning radial limits, such as the theorems of Fatou and M. and F. Riesz and their extensions given for quasiregular mappings by Martio and Rickman.
AMS 2010 Subject Classification: 30C65, 31A15.
Antioxidant, anti-inflammatory, antimicrobial and anticancer activities of the pods of green broad bean (Vicia faba L.), in vitro
Authors: Elbadrawy Elsayed , Mostafa Mona Y. 
Published: March 2023

Abstract

This study aimed to benefit from the pods’ byproduct of the broad bean (the outer shell). The chemical composition of the green pods was estimated. The methanolic extract of the broad bean pods (BBPs) activity was investigated in vitro as an antioxidant, anti-inflammatory, antimicrobial and anticancer against prostate cancer (Pc3) and liver cancer (HepG2) cells. The findings revealed that BBPs have high contents of carbohydrates, fiber, protein, potassium, calcium, and magnesium. The total phenols and flavonoids of BBPs extract were 286 mg GAE / g and 105 mg QE/g, respectively. The antioxidant activity of the BBPs methanolic extract was measured by 1, 1- diphenyl-2-picryl hydrazyl (DPPH) assay. The highest value of DPPH scavenging activity (80.5%) was achieved by the extract concentrations of 1000 ug/ml. The concentrations of 500 and 250 ug/ml of BBPs extract also showed high levels of DPPH scavenging activity (73.7 and 65.7%), respectively. The methanolic extract of BBPs has an anti-inflammatory effect as it significantly reduces RBCs hemolysis. The maximum inhibition percentage reached 66.7% with a concentration of 1000 ug/ml. Regarding the antimicrobial activity, it was noticed that BBPs extract prevented the growth of B. Subtilis, Staph. aureus and E. coli in addition to the two fungi, Pseudomonas aeruginosa and Candida albicans. The effect of the methanolic extract of BBPs against human hepatocarcinoma (HepG2) and prostate cancer (PC3) cells showed significant decreases in their cell viability in a concentration-dependent manner. It also caused significant changes in cell shape compared to the control.
Nitroalkanes as Thioacyl Equivalents to Access Thioamides and Thiopeptides
Authors: Wang Xiaonan , Xu Silong , Tang Yuhai , Lear Martin , He Wanxiao , Li Jing 
Published: March 2023

Abstract
Thioamides are an important, but a largely underexplored class of amide bioisostere in peptides. Replacement of oxoamide units with thioamides in peptide therapeutics is a valuable tactic to improve biological activity and resistance to enzymatic hydrolysis. This tactic, however, has been hampered by insufficient methods to introduce thioamide bonds into peptide or protein backbones in a site-specific and stereo-retentive fashion. Herein, we developed an efficient and mild thioacylation method to react nitroalkanes with amines directly in the presence of elemental sulfur and sodium sulfide to form a diverse range of thioamides in high yields. Notably, this convenient method can be employed for the controlled thioamide coupling of multifunctionalized peptides without epimerization of stereocenters, including the late stage thioacylation of advanced compounds of biological and medicinal interest. Experimental interrogation of postulated mechanisms currently supports the intermediacy of thioacyl species.
Effect of non-surgical periodontal therapy on salivary and serum bone turnover markers in periodontitis
Authors: Javed Faraha , Zia Afaf , Khan Asad Ullah , Bey Afsha , Hakim Seema , Ateeq Hira , Yusufi Faiz Noor Khan , Salati Nasir 
Published: March 2023

Abstract
Objective: Determining whether non-surgical periodontal therapy (NSPT) will affect bone turnover biomarkers (BTMs) concentration in individuals with periodontitis.
Materials and Methods: 60 females aged 18-45 years were divided into two groups Normal (N) (n= 20) and Chronic periodontitis (CP) (n= 40) after recruitment. Participants with periodontitis were assigned (NSPT). Full mouth clinical periodontal parameters, salivary and serum BTMs including C-terminal telopeptides of type I collagen (CTX), bone alkaline phosphatase (BALP), and Osteoprotegerin (OPG) were recorded for both groups and 21 days and 3 months after NSPT.
Results: Except for BALP_ SER (p<0.023), all variables had highly significant differences (p<0.001). Except for CP (21 days) vs. CP (3 months), groups showed significantly greater levels of PI, PPD and CAL. Correlations between BTMs and periodontal measurements were weak to moderate after NSPT. The multiple linear regression model explained 46.7% of the total variability for PI, 50.1% for PPD, 54.1% for CAL and 29.3% for GI signifying association with BTMs among groups
Conclusion: Our research showed the concentration of BTMs is greatly impacted by NSPT demonstrating the significance of NSPT on bone health in periodontitis. Additionally, we discovered that serum instead of salivary samples can be utilized as a diagnostic tool to measure BTMs concentration.
Clinical Relevance- This study emphasizes the significance of regular periodontal evaluation and the use of non-surgical periodontal therapy (NSPT) to manage periodontitis and prevent further bone loss. It also highlights the value of using serum samples as a diagnostic tool to monitor bone health in periodontitis patients.
Impact of oral frailty prevention program with textured lunch gatherings on attitude and behavior towards eating habits and improving oral frailty: The Comprehensive Awareness Modification of Mouth, Chewing And Meal (CAMCAM) program
Authors: Hidaka Rena , Masuda Yuji , Ogawa Koichi , Tanaka Tomoki , Kanazawa Manabu , Suzuki Kenji , Stading Mats , Iijima Katsuya , Matsuo Koichiro 
Published: March 2023

Abstract
Objectives

Preserving sufficient oral function and maintaining adequate nutrition are essential for preventing frailty and the following long-term care. We recently developed the 6-month Comprehensive Awareness Modification of Mouth, Chewing And Meal (CAMCAM) program, in which participants gather monthly to learn about oral health and nutrition while eating a textured lunch together. This study examined whether the CAMCAM program could improve attitude and behavior towards oral health, mastication, and diet as well as ameliorate oral frailty in community-dwelling older adults.

Design

Single-arm pre-post comparison study

Setting and Participants:

A total of 271 community-dwelling adults in 4 Japanese municipalities were recruited, of which 249 participants (92%) were assessed at the final evaluation.

Intervention

Participants gathered once a month at community centers to learn about oral health and nutrition while eating a textured lunch with ingenious cooking recipes.

Measurements

Oral frailty, frailty, and eating behavior were evaluated with the Oral Frailty Index-8 (OFI-8), Kihon checklist (KCL), and CAMCAM checklist, respectively. Participants were divided into Oral frailty (OF) and Robust groups according to OFI-8 scores. The differences in KCL and CAMCAM checklist results between the OF and Robust groups were statistically tested along with changes in scores after the program.

Results

KCL and CAMCAM checklist scores were significantly lower in the OF group at the initial assessment. OFI-8 and KCL findings were significantly improved in the OF group after completing the program (all P < 0.05). Regarding the CAMCAM checklist, awareness of chewing improved significantly in the Robust group (P = 0.009), with a similar tendency in the OF group (P = 0.080).

Conclusion

Our findings suggest that individuals with oral frailty have problems with chewing and meals, and harbor the risk of frailty. The CAMCAM program may be an effective means of changing attitudes towards eating behavior and oral frailty in the community setting.
Perirenal fat stranding as a predictor of disease progression after radical nephroureterectomy for renal pelvic urothelial carcinoma: A retrospective study
Authors: Yanagi Masato , Terasaki Mika , Kiriyama Tomonari , Terasaki Yasuhiro , Akatsuka Jun , Endo Yuki , Nishimura Taiji , Shimizu Akira , Kondo Yukihiro 
Published: March 2023

Abstract
Background To investigate the impact of Perirenal fat stranding (PRFS) on progression after radical nephroureterectomy (RNU) for pelvic urothelial carcinoma (RPUC) without hydronephrosis and to reveal the pathological findings of PRFS.
Methods Clinicopathological data, including computed tomography (CT) findings of the ipsilateral and contralateral PRFS, were collected from the medical records of 56 patients treated with RNU for renal RPUC without hydronephrosis between 2011 and 2021 at our institution. Ipsilateral PRFS on CT was classified as either low or high PRFS. The impact of PRFS on progression-free survival (PFS) after RNU was analyzed using the Kaplan-Meier method and log-rank test. In addition, specimens including sufficient perirenal fat from patients with low and with high PRFS were pathologically analyzed.
Results Of the 56 patients, 31(55.4%) and 25 (44.6%) patients were classified as having low and high PRFS, respectively. Within a median follow-up of 40.6 months postoperatively, 11 (19.6%) patients showed disease progression. The Kaplan-Meier method and log-rank test revealed that patients with ipsilateral high PRFS had significantly lower PFS rates than those with ipsilateral low PRFS (3-year PFS 69.8% vs 93.3%; p=0.0393). Pathological analysis revealed that ipsilateral high PRFS specimens (n=3 patients) contained more fibrous strictures in perirenal fat than ipsilateral low PRFS specimens (n=3 patients).
Conclusions PRFS of RPUC without hydronephrosis consists of collagenous fibers. The presence of ipsilateral high PRFS is a risk factor for progression after RNU for RPUC patients without hydronephrosis. Strict follow-up after surgery is thus recommended for these patients.
In-Hospital Mortality Prediction using Machine Learning and Stacked Ensemble Learning of Asian Women with ST-Elevation Myocardial Infarction (STEMI)
Authors: Kasim Sazzli , Rudin Putri Nur Fatin Amir , Malek Sorayya , Ibrahim Khairul Shafiq , Ahmad Wan Azman Wan , Fong Alan Yean Yip , Ling Wan Yin , Aziz Firdaus , Ibrahim Nurulain 
Published: March 2023

Abstract

Predictions of mortality in Asian women following STEMI have been the subject of limited studies. This study aims to develop and validate prediction models for in-hospital mortality following STEMI in Asian women using machine learning (ML) and stacked ensemble learning (EL) techniques, and to compare the performance of the algorithms to that of a conventional risk scoring method. From 2006 to 2016, data on multi-ethnic Asian women admitted with STEMI from the Malaysian National Cardiovascular Disease Database (NCVD-ACS) registry were collected. Developed algorithms were compared to the Thrombolysis in Myocardial Infarction Risk score (TIMI) and a ML model constructed using data from the general STEMI population. Predictors for ML models were selected using iterative feature selection comprises of feature importance and sequential backward elimination. The machine learning models developed using ML feature selection (AUC ranging from 0.60–0.93) outperforms the conventional risk score, TIMI (AUC 0.81). Individual ML model, SVM Linear with selected features performed better than the best performed stacked EL model (AUC:0.934, CI: 0.893–0.975 vs AUC: 0.914, CI: 0.871–0.957). The women specific model also performs better than the general non-gender specific model (AUC: 0.919, CI: 0.874–0.965). Systolic blood pressure, Killip class, fasting blood glucose, beta-blocker, ACE inhibitor, and oral hypoglycemic agent are identified as common predictors of mortality for women. In multi-ethnic populations, Asian women with STEMI were more accurately classified by ML and stacked EL than by the TIMI risk score. It has also been determined that women-specific ML models perform better than the standard STEMI model. In the future, ongoing testing and validation can improve the clinical care provided to women with STEMI.
A novel durian (Durio zibethinus L.) homeodomain-leucine zipper (DzHD-ZIP) transcription factor 1.8 regulates the production of volatile sulfur compounds during fruit ripening
Authors: Pinsorn Pinnapat , Hoefgen Rainer , Sirikantaramas Supaart 
Published: March 2023

Abstract
Durian (Durio zibethinus L.), an important economic fruit crop in Southeast Asia, produces volatile sulfur compounds (VSCs) during fruit ripening. Methionine γ-lyase (MGL) is the key enzyme involved in the production of VSCs like methanethiol and ethanethiol, which coincide with an increased expression level of durian MGL (DzMGL) during fruit ripening. Although VSCs in durian pulps have been widely studied, the regulation of genes involved in VSC production in fruit has never been reported. Yeast one-hybrid (Y1H) screening of durian MGL promoter (pDzMGL) and ca. 1,200 Arabidopsis transcription factors (TFs) together with transcriptomic analysis revealed candidate HD-ZIP TF families in durian. Dual-luciferase assays, in silico promoter analysis, and electrophoresis mobility shift assays were performed to confirm the interaction between the promoter and DzHD-ZIP1.8. The ethylene-responsive DzHD-ZIP1.8 localizes in the nucleus. It acts as an activator and binds to the promoter of DzMGL to control its expression during ripening. Here, a TF that regulates the expression of DzMGL in durian fruit during ripening was first identified. This study elucidates the molecular regulation of an important gene involved in VSC production, which influences consumer preferences.
SSDLog: A Semi-Supervised Dual Branch Model for Log Anomaly Detection
Authors: Lu Siyang , Han Ningning , Wang Mingquan , Wei Xiang , Lin Zaichao , Wang Dongdong 
Published: March 2023

Abstract
With versatility and complexity of computer systems, warning and errors are inevitable. To effectively monitor system’s status, system logs are critical. To detect anomalies in system logs, deep learning is a promising way to go. However, abnormal system logs in the real world are often difficult to collect, and effectively and accurately categorize the logs is an even time-consuming project. Thus, the data incompleteness is not conducive to the deep learning for this practical application. In this paper, we put forward a novel semi-supervised dual branch model that alleviate the need for large scale labeled logs for training a deep system log anomaly detector. Specifically, our model consists of two homogeneous networks that share the same parameters, one is called weak augmented teacher model and the other is termed as strong augmented student model. In the teacher model, the log features are augmented with small Gaussian noise, while in the student model, the strong augmentation is injected to force the model to learn a more robust feature representation with the guidance of teacher model provided soft labels. Furthermore, to further utilize unlabeled samples effectively, we propose a flexible label screening strategy that takes into account the confidence and stability of pseudo-labels. Experimental results show favorable effect of our model on prevalent HDFS and Hadoop Application datasets. Precisely, with only 30% training data labeled, our model can achieve the comparable results as the fully supervised version.