bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real-Time Glaucoma Screening from Digital Retinal Fundus Images using an Ensemble Deep Learning based Approach
Authors: S Santhosh , Babu D Veerabhadra 
Published: December 2022

Abstract
A condition known as glaucoma, which affects the optic nerve, can cause visual loss that is either partial or total. Therefore, there is a critical need for glaucoma screening at an early age. The symptoms related to glaucoma are not noticeable until severe stages of this illness and they appear when the patient has already lost a significant part of his eyesight. The majority of earlier diagnosis strategies rely on handmade feature engineering. The use of fundus images for the early detection of eye disorders is of tremendous clinical value. Deep learning is becoming more and more common in related applications, such as lesion segmentation, biomarkers segmentation, disease diagnosis, and image synthesis, due to its potent performance. Convolutional neural networks (CNNs) have recently been utilized in the field of ophthalmology to identify specific eye ailments, including glaucoma. They have demonstrated good performance in the early detection of several diseases. The method described in this paper uses densely connected neural networks with numerous layers that were initially trained on ImageNet using the fundus dataset that is readily available. We can be cautiously optimistic about the efficacy of our classification model for the early identification of glaucoma given the accuracy of almost 97 that was achieved.
The efficiency of probiotic-based adsorbent in reducing the intoxication in Piarcatus mesopotamicus: metabolic performance and histology of the liver for evaluating good health
Authors: Ziemniczak Henrique M. , Godoy Antonio Cesar , Oxford Jarred Hugh , Silva Welinton V. , Melo Jean C. S. , Saturnino Klaus C. , Gandra Jeferson R. , Neu Dacley H. , Pereira Ulisses Padua , Honorato Claucia A. 
Published: December 2022

Abstract
In this study, we evaluated the effect of aflatoxin B1 (AFB1) in pacus (Piaractus mesopotam- icus) that were fed diets containing 0.0; 25.0; 50.0; 100.0; 200.0, and 400.0 µg kg−1 of AFB1 for 10 days. Furthermore, also was evaluated the effect of an adsorbent (0.2%) supplemented in fish diets containing 0.0, 25.0, and 400.0 µg kg−1 of AFB1. At the end of each experiment, fish were fasted for 24 h, and the survival rate was measured. Six specimens from each treatment were randomly selected for assays of tissue metabolic indicators in the liver: superoxide dismutase, catalase, alanine aminotransferase, aspar- tate aminotransferase, and albumin and six, for histopathological analysis. Hepatic metabolism showed lesions in fish fed with doses higher than 25.0 µg kg−1 of AFB1. The histopathological results revealed necrosis of the liver. The addition of 0.2% adsorbent promoted the restoration of liver functions in fish fed with diets containing 25.0 µg kg−1 AFB1. The histopathological results demonstrated hepatic tissue with a healthy architecture. In conclusion, AFB1 at a concertation of 25.0 µg kg−1 negatively affects the liver, but the addition of a probiotic-based adsorbent (PBA) in fish diet containing 25.0 µg kg−1 AFB1 cancels the toxic effects of AFB1. Therefore, the use of PBAs in fish diets are recommended.
Biomarkers and Outcomes in Diverse Cancers: Meta-Analysis of Early Phase Immuno-Oncology Trials
Authors: Fountzilas Elena , Vo Henry Hiep , Mueller Peter , Kurzrock Razelle , Tsimberidou Apostolia-Maria 
Published: December 2022

Abstract
Background
Many immuno-oncology (IO) trials are conducted without biomarker selection. We performed a meta-analysis of phase I/II clinical trials evaluating immune checkpoint inhibitors (ICIs) to determine the association between biomarkers and clinical outcomes, if any.
Methods
We searched PubMed for phase I/II clinical trials of drugs approved by the Food and Drug Administration (labeled, off-label, or combined with investigational ICIs or other treatment modalities) from 2018 to 2020. We compared the objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) between biomarker-positive and biomarker-negative groups, using data from correlative studies.
Results
Overall, 174 clinical studies that included 19,178 patients were identified and 131 studies investigated > 30 correlative biomarkers, that included PD-L1 expression (≥ 1%, 111 studies), tumor mutational burden (20 studies), and microsatellite instability/mismatch repair deficiency (10 studies). Overall, 123, 46, and 30 cohorts (drugs, tumor types, or biomarkers) with 11,692, 3,065, and 2,256 patient outcomes for ORR, PFS, and OS, respectively, were analyzed in correlation with biomarkers. Meta-analyses demonstrated that ICIs in patients with biomarker-positive tumors were associated with higher ORR (odds ratio 2.15 [95% CI, 1.79–2.58], p < 0.0001); and longer PFS (hazard ratio [HR] 0.55 [95% CI, 0.45–0.67], p < 0.0001), and OS (HR 0.65 [95% CI, 0.53–0.80], p < 0.0001) compared with those with biomarker-negative tumors. Significance for ORR and PFS was retained in multivariate analysis (p < 0.001) (OS, not included owing to the small number of trials reporting OS).
Conclusion
Our data suggest that IO biomarkers should be used in patient selection for ICIs. Prospective studies are warranted.
L-HRP: A Remote Health Risk Prediction model based on LSTM for elderly
Authors: Yang Liqing , Ding Zhimei , Yu Yichuan , Guo Wenqing , Liu Lu , Chen Lin , Hou Wensheng , Xiao Mingzhao , Bai Dingqun , Wu Xiaoying , Wang Xing 
Published: December 2022

Abstract
With the continuous progress of the aging process, the prevalence of chronic diseases and disability among the elderly increases, resulting the corresponding medical demand and medical costs create an intensified pressure on the healthcare infrastructures. To this end, this topic proposes a remote health risk prediction model for the community- and home-based scenarios based on wearable sensor technology and deep learning technology to alleviate the pressure on healthcare infrastructure. The model is designed in three functional considerations. The wearable sensor component is responsible for remotely and continuously collecting vital signs of the elderly, including five variables: systolic blood pressure (SBP), heart rate (HR), respiratory rate (RR), temperature (TEMP), and oxygen saturation (SPO2). The neural network component consists of five different 5- input-1-output Long Short-Term Memory (LSTM) networks, which are responsible for predicting values of the vital signs. The risk prediction component consists of a simplified version of the National Early Warning Score (NEWS), which is responsible for predicting the health risk level based on the predicted values of vital signs. The model is developed and tested using existing electronic health record (EHR) that mimic vital signs data collected via wireless sensor network. We found that the model performed the best using a dataset in a size of 1000 admissions, within a time window of 12 hours, and with a configuration of 5 neurons and 50 epochs. The accuracy was over 74% for the risk level calculated from the predicted values of vital signs. Our results suggest that remote monitoring and prediction of health risks in the elderly using deep learning models is a feasible new strategy for community- and home-based monitoring systems.
Overexpression of purine nucleoside phosphorylase increases the adenosine content in Ganoderma lucidum
Authors: Zhu Yating , Xiao Zhengpeng , Zhou Jiali , Yu Zhen , Liu Teng , Kang Xincong , Liu Dongbo 
Published: December 2022

Abstract
Background: Adenosine has been getting increasing attention due to its positive role in immunomodulation, anti-inflammation, and anti-cancer, etc.. The low production of Ganoderma adenosine is a bottleneck for clinical trials and commercial applications. Regulating the expression of key adenosine biosynthetic gene is an optimized way to increase the production of adenosine in submerged culture of Ganoderma lucidum.
Results: In this study, we correlated the expression of adenosine synthase genes (including GlATIC, GlPNP, GlADK) with the adenosine content in mycelium at different fermentation time points. The results showed that GlPNP was positively correlated with Ganoderma adenosine contents. Then the key biosynthetic gene GlPNP was cloned, characterized and overexpressed in G. lucidum. The cDNA of GlPNP gene was 969-bp in length, with a predicted molecular weight of 34.6 kDa and PI of 5.89. The GlPNP displayed a trimeric quaternary structure by theoretically modelling with SWISS-MODEL. The transcript levels of GlPNP overexpression transformants (namely OE::GlPNP-5 and OE::GlPNP-7) were approximately 2.9-3.9-fold higher than those of the WT strains on day 4, while the adenosine contents were increased by 78% and 63%, respectively, by compared with vector-containing strain. In addition, the GlPNP overexpression strains showed decreased colony growth and reduced biomass in submerged cultivation.
Conclusions: GlPNP gene overexpression is an effective strategy to improve the production of adenosine in G. lucidum. This study is the first report about the manipulation of adenosine biosynthesis in medicinal fungi.
Random Walks on the Generalized Symmetric Group: Cutoff for the One-sided Transposition Shuffle
Authors: Deng Yongtao , Tan Shi Jie Samuel 
Published: December 2022

Abstract
In this paper, we present a proof for the exhibition of a cutoff for the one-sided transposition (OST) shuffle on the generalized symmetric group $G_{m,n}$. Our work shows that based on techniques for $m \leq 2$ proven in \cite{M20}, we can prove the cutoff in total variation distance and separation distance for an unbiased OST shuffle on $G_{m,n}$ for any fixed $m \geq 1$ in time $n \log(n)$.
MSC Classification: 60J10 , 20B05 , 20B25
Intrathecal combined therapy for leptomeningeal metastasis from lung adenocarcinoma: Treatment outcomes, response and prognostic analysis
Authors: Huang Sijie , Kang Xun , Wang Ce , Zhang Weichunbai , Jiang Jing , Kang Zhuang , Yang Shoubo , Lin Yi , Chen Feng , Li Wenbin 
Published: December 2022

Abstract
Purpose: Leptomeningeal metastasis (LM) is a seriously fatal complication of patients with lung adenocarcinoma. Intrathecal therapy (IT) combined with systemic therapy is one of the therapeutic approaches for LM. The purpose of this study is to assess the characteristics, response to IT combined therapy and determinants of patients with leptomeningeal metastasis from lung adenocarcinoma (LM-LA).
Methods: We retrospectively analyzed the medical records of 37 patients with LM-LA who were treated by IT combined therapy between April 2018 and August 2022 from the database of Beijing Tiantan Hospital.
Results: The median overall survival (mOS) of the 37 patients was 16.0 months. 21 patients who received IT combined TKIs, the mOS was 17.0 months which was longer than patients treated with IT combined chemotherapy (7.0 months), PD-1(6.0 months) and best support care (5.0 months). Combination of TKIs was independent favorable prognostic factors for patients with LM-LA.
Conclusion: Combination therapy is considered to be another choice for patients of LM-LA. Compared with other combination therapy in our study，IT combined TKIs therapy provided a better survival outcome for patients with LM-LA.
Validation of TBL-PBL Teaching Model in Energy Metabolism and Internal Environment System Curriculum
Authors: Zhu Yaxi , Liu Lingyun , Wang Hao , Lv Qinglan , Tan Sipin , Jiang Bimei , Xiao Zihui , Xiong Wei , Liu Ying , Zhang Huali 
Published: December 2022

Abstract
BACKGROUND
Energy Metabolism and Internal Environment System (EMIES) is a crucial curriculum in the organ-system integrated medical courses for students in the MD-PhD program of Xiangya School of Medicine at Central South University in China. The combination of Team Based Learning (TBL) and Problem Based Learning (PBL) forms a new case-based teaching model so that students can cooperatively participate in case discussions using multi-disciplinary knowledge. The aim of this study is to utilize TBL-PBL teaching model in EMIES curriculum, and assess the feedback on teaching arrangement, effectiveness and the academic performance of students.
METHODS
This is a single institution, two-year study that includes two cohorts of students who participated in two training paradigms, traditional teaching model and TBL-PBL teaching modal. The MD-PhD students enrolled in 2016 (n = 100) were selected for traditional teaching model, students enrolled in 2017 (n = 100) were selected for TBL-PBL teaching model, in which the learning contents were remodeled and integrated with simulated cases, taught by an interprofessional team. After completing the curriculmn, all students were surveyed on their feedbacks about group teaching arrangement and teaching effectiveness. Academic performance were also assesses by post-session quizzes, periodical tests and the final exams.
RESULTS
The survey results revealed that in the TBL-PBL teaching group, the percentage of students who thought that the teaching objectives were challenging reached 94%. Meanwhile, for the traditional teaching group, the percentage of students who thought likewise were 84%. The percentage of students in the TBL-PBL group who thought that the innovative teaching mode rendered helpful in consolidating basic medical knowledge structure (89% vs. 78%), promoted student overall thinking skills (94% vs. 84%), communication skills (93% vs. 82%), teamwork skills (95% vs. 82%) and professional abilities (89% vs. 84%) outweighed the traditional teaching group to a significant degree. The academic performance in the TBL-PBL group was improved evidenced by higher class scores (85.52 vs. 80.34), excellence rate (51% vs. 49%) and qualification rate (100% vs. 92%).
CONCLUSION
The TBL-PBL teaching model improved academic performance, yielded higher student satisfaction and engagement. This innovative teaching model can be used as an alternative to traditional model for medical courses.
On The Frames In Hilbert $C^{\ast}$-modules
Authors: Ghiati M'hamed , Mouniane Mohammed , Rossafi Mohamed 
Published: December 2022

Abstract
Frame theory has been rapidly generalized and various generalizations have been developed. In this paper, we present a brief survey of the frames in Hilbert C*-modules, including frames, *-frames, g-frames, *-g-frames, *-K-g-frame, operator frame, and *-K-operator in Hilbert C*-modules. Various proofs are given for some results. We will also provide some new results. Moreover, non-trivial examples are presented.
Mathematics Subject Classification (2010). Primary: 42C15; Secondary: 47A05.
Diversity of soil fungal communities under natural and managed peat ecosystems in tropical peatland of Sarawak
Authors: Azizah Kusai Nor , Ayob Zahidah , Khairuddin Nik Sasha Khatrina 
Published: December 2022

Abstract
Fungi are primary decomposers in terrestrial ecosystems which involved in degradation of organic matter, particularly in tropical peatland ecosystem that has high content of organic matter accumulation. Fungi in tropical peatland plays important ecological role in regulating ecosystem functions and services. Understanding soil fungal diversity, composition and structure underlying the tropical peatlands are the preliminary steps to predicting the stability of ecosystem functioning under natural and managed peat ecosystems. The aim of this study was to determine soil fungal diversity and communities in tropical peatland of Sarawak under natural (peat swamp forest, PSF and logged-over secondary forest, LOF) and managed (oil palm plantation, OPP) ecosystems. Fungi from peat samples were isolated and identified based on the 18S rDNA region sequencing. Fungal diversity was measured based on Shannon’s diversity index (H’), Simpson’s diversity index (D), species richness (S) and evenness (E). Bray–Curtis dissimilarity was performed to compare fungal communities between study sites. The fungal diversity measurement indicated that LOF had the highest diversity followed by PSF and OPP. In addition to that, the composition of the fungal communities in LOF resembled PSF, compared to OPP. Distinct fungal communities were observed between PSF and OPP due to the dominance of Aspergillus spp. and Trichoderma spp., respectively. In conclusion, LOF is an important ecosystem to retain relatively high fungal diversity. Different fungal communities were observed, which contained ecologically important fungal groups incorporated into the natural and managed peat ecosystems.
Health-related quality of life and experience measures, to assess patients’ experiences of peripheral intravenous catheters: a secondary data analysis
Authors: Larsen Emily , Marsh Nicole , Rickard Claire , Mihala Gabor , Walker Rachel , Byrnes Joshua 
Published: December 2022

Abstract
Background:
Peripheral intravenous catheters (PIVCs) are essential for successful administration of intravenous treatments. However, insertion failure and PIVC complications are common and negatively impact patients’ health-outcomes and experiences. We aimed to assess whether generic (established) quality of life and experience measures were suitable for use among patients with PIVCs.
Methods:
A secondary analysis of data collected on three existing instruments within a large randomised controlled trial, conducted at two adult tertiary hospitals in Queensland, Australia. Instruments included the EuroQual Five Dimension - Five Level (EQ5D-5L), the Functional Assessment of Chronic Illness Therapy – Treatment Satisfaction – General measure (FACIT-TS-G, eight items), and the Australian Hospital Patient Experience Question Set (AHPEQS, 12 items). Responses were compared against two clinical PIVC outcomes of interest: all-cause failure and multiple insertion attempts. Classic descriptives were reported for ceiling and floor effects. Regression analyses examined validity (discrimination). Standardised response mean, and effect size (ES) assessed responsiveness (EQ5D-5L, only).
Results:
In total, 685 participants completed the EQ5D-5L at insertion and 526 at removal. The FACIT-TS-G was completed by 264 and the AHPEQS by 262 participants. Two FACIT-TS-G items and one AHPEQS item demonstrated ceiling effect. Instruments overall demonstrated poor discrimination, however, all-cause PIVC failure was statistically significantly associated with several individual items in the instruments (e.g., AHPEQS, ‘unexpected physical and emotional harm’). EQ5D-5L demonstrated trivial (ES <.20) responsiveness.
Conclusions:
The health-related quality of life- and experience-measures studied proved unsuitable for use among patients with PIVCs. PIVC-specific instruments are urgently needed to inform quality improvement and benchmark standards of care.
Time Periodic Solution to the Two-phase Fluid Model With an External Force in a Periodic Domain
Authors: Guo Shanshan , Zhou Yingyan 
Published: December 2022

Abstract
We consider the time periodic solution to a two–phase fluid system consisting of the compressible isothermal Euler equations coupled with the compressible isentropic Navier– Stokes equations through a drag forcing term. This model was first derived by Choi [SIAM J. Math. Anal., 48(2016), pp. 3090–3122] by taking the hydrodynamic limit from the Vlasov– Fokker–Planck/isentropic Navier–Stokes equations with strong local alignment forces. In this article, we obtain the existence of time periodic solutions of the regularized problem under some smallness and structure assumptions imposed on the time periodic force. Meanwhile, by a limiting process, the existence of time periodic solutions for the two-phase fluid system can be obtained. Moreover, we also show the uniqueness of the time periodic solution. Our method is based on parabolic regularization, the topological degree theory and energy methods.
AMS subject classification. 35B10; 35Q30; 75N10.
Multiple sign changing solutions for a fourth-order elastic beam equation
Authors: Benhassine Abderrazek , Talbi Taib 
Published: December 2022

Abstract
Note: Please see pdf for full abstract with equations.
The aim of the present paper is to investigate the existence of multiple positive, multiple negative, and in particular, of multiple sign changing solutions depending on λ for the following fourth-order problem
uiv + Au''+ Bu = λƒ(t, u) in (0,1)
u(0) = u(1) = 0
u''(0) = u''(1) = 0,
where ƒ : [0,1] × R → R is a function, A and B are real constants and λ is a positive parameter. The nonlinearity ƒ is required to have an oscillatory behaviour.
AMS subject classification: 34B15, 58E05.
Carbon ion irradiation suppresses angiogenic response in human lung adenocarcinoma cells mediated by LINC00167/miR-663a/TGF-β1 axis
Authors: Huang Hao , Xu Ying , Guo Zi , Li Wanshi , Song Yidan , Nie Jing , Hu Wentao , Hei Tom K , Zhou Guangming 
Published: December 2022

Abstract
Background
Radiotherapy plays an important role in numerous tumor clinical treatments and over 65% of cancer patients need to accept radiotherapy all over the world. However, tumor angiogenesis and metastasis induced by conventional photon radiotherapy adversely impact the survival of patients, and limit the clinical radiotherapy efficiency. Heavy-ion radiotherapy has attracted wide attention in recent years because of its excellent physical property and outstanding tumor control rate, however, the underlying gene expression regulation mechanism response to heavy-ion irradiation remains elusive.
Methods
RNA-sequencing (RNA-seq) and public database analysis were employed to identify the differential molecular changes in lung adenocarcinoma cells exposed to both X-ray and carbon ion (C-ion) irradiation. The expression of the identified LINC00167 was verified by real-time quantitative PCR in different lung cancer cell lines and pulmonary bronchial epithelial cell lines. The content of serum vascular endothelial growth factor (VEGF) and transforming growth factor beta 1 (TGF-β1) of 8 lung cancer patients who received X-ray or carbon ion radiotherapy were detected by ELISA experiment. Loss-of-function and gain-of-function experiments were performed to explore the biological roles of LINC00167 and miR-663a in lung cancer cell angiogenesis and metastasis. Comprehensive biochemical and biological techniques were utilized to explore the functions of LINC00167 in tumor angiogenesis and metastasis induced by different radiation types.
Results
In this study, we confirmed that LINC00167 was highly expressed and induced by X-ray irradiation in lung cancer cells. Moreover, increased LINC00167 expression was positively correlated with tumor angiogenesis and metastasis caused by conventional photon radiotherapy. LINC00167 worked as a sponge of miR-663a to positively regulate the expression of TGF-β1 and the downstream VEGF signaling and then promoted the tumor angiogenesis and metastasis of lung cancer cells. LINC00167 could strengthen the pro-angiogenesis and metastasis ability of lung cancer cells. Photon radiation-induced LINC00167 promoted angiogenesis both in vitro and in vivo.
Conclusion
Our data suggest that LINC00167/miR-663a/TGF-β1 axis is involved in the differential angiogenic response of lung adenocarcinoma cells exposed to X-ray or C-ion irradiation, providing the molecular mechanisms underlying the suppressed angiogenic response induced by carbon ion radiotherapy.