bluuebunny/crossref_metadata_2025_split huggingface dataset:
ALOX5 and ALOX5AP as an mRNA metric predicts unfavorable prognosis in lower-grade glioma
Authors: Zhang Ping , Han Yujing , Zhang Yu 
Published: May 2023

Abstract
The role of leukotrienes in glioma remains less understood. In this study, we explore the prognostic implication of leukotriene biosynthesis-related genes ALOX5 and ALOX5AP in lower-grade glioma (LGG) associated molecular underpinnings. The average expression of ALOX5 and ALOX5AP is defined as the ALOX score, which was positively associated with the malignant phenotype of LGG. Kaplan-Meier analysis and Cox regression analysis disclose that an increased expression of the ALOX score predicts an unfavorable outcome, and acts as an independent risk factor. Besides, a tumor microenvironment characterized by a high ALOX score contains more innate immune cells and an active inflammatory response than the ALOX score low group. At single-cell resolution, ALOX5 and ALOX5AP were predominantly expressed by tumor-associated macrophages (TAMs). The ALOX score gives a good performance in predicting immunosuppressive cell gene signature especially myeloid-derived suppressor cells and T-cell dysfunction. Together, these results provide preliminary evidence of the role of leukotriene biosynthesis genes in the glioma microenvironment and may offer a novel therapeutic target for LGG.
A Hybrid Text Recognition Approach based on Involution Operators and Graph Convolution Neural Networks
Authors: Tong Guoxiang , Li Yang , Dong Ming , Peng Dunlu 
Published: May 2023

Abstract
Scene text recognition as a subsequent task of text detection is to convert the detected text regions into computer readable and editable characters, words or text lines. To improve the recognition of long text, a text recognition method based on the involution operator and graph convolutional network (GCN) is proposed. The method builds a new feature sequence extraction network based on the involution operator, which can extract text features within a larger sense field and generate feature sequences. Furthermore, the addition of gate recurrent unit (GRU) and GCN can help the model to remember useful text features while forgetting useless visual information, and enhance the contextual semantic information of feature sequences from multiple perspectives. Comparative experiments on ICDAR (International Conference on Document Analysis and Recognition) 2013, ICDAR 2015 and SVT (Street View Text) datasets show that the method can effectively recognize multi-scale ambiguous and adherent text. The F-score reaches 94.2%, 89.7%, and 93.8% without lexicon supervision, respectively.
Prognostic biomarkers for bladder cancer based on differentially expressed exosome-related genes
Authors: Shen Chong , Han Jingwen , Zhou Xiaoliang , Zhang Yu , Chen Changsheng , Fan Zhenqian , Hu Hailong 
Published: May 2023

Abstract
Background In cancer, exosomes play an important role in cell-to-cell communication, cancer metastasis,neovascularization, and drug resistance. Due to the lack of mechanistic studies regarding exosomes in bladder cancer (BCa), the goal of this study was to identify the significance of exosome-related genes in BCa.Methods Differentially expressed genes (DEGs) were analyzed using the Cancer Genome Atlas (TCGA) databases. DEGs closely associated with BCa patient survival were identified using Cox regression, least absolute shrinkage, and selection operator analyses. A prognostic model about exosomes was then developed and validated. To predict survival, a nomogram was developed.Results A prediction model was constructed using seventeen of the six hundred and fifty-six DEGs related to exosomes. A low-risk and high-risk group was then established for patients with BCa. Patients at high-risk group had a significantly worse prognosis than those at low-risk group. Further analysis showed a lower risk score was associated with higher expression of immune cell infiltration, including T cells regulatory (Tregs) and Mast cells activated, and immune checkpoint genes, including LGALS9 and TNFRSF14.Conclusions Using exosome-related genes, this study identified a novel biomarker that may be used to predict the outcome of BCa in the future.
2020-2021 Field Seasons of Maize G x E Project within Maize Genomes to Fields Initiative
Authors: Lima Dayane Cristina , Aviles Alejandro Castro , Alpers Ryan Timothy , Perkins Alden , Schoemaker Dylan L. , Costa Martin , Kaeppler Shawn , Ertl David , Romay Maria Cinta , Gage Joseph L. , Holland James , Beissinger Timothy , Bohn Martin , Buckler Edward , Edwards Jode , Flint-Garcia Sherry , Gore Michael A. , Hirsch Candice N. , Knoll Joseph E. , McKay John , Minyo Richard , Murray Seth C. , Schnable James , Sekhon Rajandeep S. , Singh Maninder P. , Sparks Erin E. , Thomison Peter , Thompson Addie , Tuinstra Mitchell , Wallace Jason , Washburn Jacob , Weldekidan Teclemariam , Xu Wenwei , de Leon Natalia 
Published: May 2023

Abstract
Objectives:
This release note describes the Maize G x E project datasets within the Genomes to Fields (G2F) Initiative. The Maize G x E project aims to understand genotype by environment (G × E) interactions and use the information collected to improve resource allocation efficiency and increase genotype predictability and stability, particularly in scenarios of variable environmental patterns. Hybrids and inbreds are evaluated across multiple environments and phenotypic, genotypic, environmental, and metadata information are made publicly available.
Data description:
The datasets include phenotypic data of the hybrids and inbreds evaluated in 30 locations across the US and one location in Germany in 2020 and 2021, soil and climatic measurements and metadata information for all environments (combination of year and location), ReadMe, and description files for each data type. A set of common hybrids is present in each environment to connect with previous evaluations. Each environment had a collaborator responsible for collecting and submitting the data, the G x E coordination team combined all the collected information and removed obvious erroneous data. Collaborators received the combined data to use, verify and declare that the data generated in their own environments was accurate. Combined data is released to the public with minimal filtering to maintain fidelity to the original data.
Seismic performance evaluation of a tall building with dual lateral system consisting of moment frames and Tuned Mass Dampers
Authors: Matinrad Pezhman , Banazadeh Mehdi , Taslimi Arsam 
Published: May 2023

Abstract
This study is devoted to evaluate the seismic performance of a 30-story steel special moment frame equipped with Tuned Mass Dampers (TMDs) using six different strategies, including conventional TMD, multi TMD and high-mass-ratio TMDs. The primary steel moment frame was designed according to the latest code provisions such that only the strength of the elements was satisfied, as the drift limits were going to be controlled using the TMDs. The building models were subjected to a set of 11 far-field ground motions scaled to the DBE level. The seismic responses of the models, including the maximum inter-story drifts, the maximum story displacements, the maximum story accelerations and the maximum base shears were compared to clarify the efficacy of each TMD retrofitting method. The results indicated that structural responses were decreased as the mass ratio of TMDs was increased. The effect of high-mass ratio TMDs to reduce the lateral drifts was more than the conventional TMDs, whereas controlling the displacements at the level of isolation could be challenging. Moreover, multi TMDs seemed to be an efficient solution to combat the detrimental seismic effects compared to the rest of the TMD types used in this study.
Topological types of convergence for nets of multifunctions
Authors: Przemski Marian 
Published: May 2023

Abstract
This article proposes a unified concept of topological types of convergence for nets of multifunctions from one topological space (X, τ) to another (Y, σ). Any kind of convergence is representable by a (2n+2)-tuple, n = 0, 1,..., of functions u and l, such that the compositions u∘l and l∘u mean Choquet's supremum and infimum operations, respectively, on filters considered in terms of the upper Vietoris topology on the hyperspace of (Y, σ). Convergence operators are obtained by composing functions from such (2n+2)-tuples. An allocation of places for the two distinguished functions in a convergence operator reflects the structure of the arguments of the used composition. The structure expresses a relationship between the directed set (Σ, ⪯) of the studied nets and the topological space (X, τ). The set of all possible structures is an infinite monoid of the special three-parameter functions F(p,q) ◦ τn : X → P2n+2(Σ × X), where p ≤ q ≤ 2n. The set of all convergence operators forms a finite monoid whose neutral element determines the pointwise convergence and possesses the structure given by the neutral element of the monoid of structures. We demonstrate the construction process of every convergence operator and show that the notions of the presented concept can characterize many well-known classical types of convergence. Of particular importance are the types of convergence derived from the concept of continuous convergence introduced by O. Frink in 1942. We establish some general theorems about the necessary and sufficient conditions for the continuity of limit multifunctions without any assumptions about the type of continuity of the members of the nets.
My wife will be attractive to other men: views of Ugandan men on LARCs
Authors:   1.	Ronald Arineitwe Kibonire#*, Ditaba* David Mphuthi 
Published: May 2023

Abstract

Many women Complications during pregnancy, labour, and the postpartum period are the leading causes of death worldwide. Contraceptives, particularly long-acting reversible contraceptives (LARCs), are the most important and effective interventions for reducing maternal mortality. LARCs assist the mother in delaying pregnancy and permit extended intervals between births. However, the utilization of LARCs remains low globally and in Uganda due to inadequate male partner support. The aim of this study was to ascertain the perceptions of rural indigenous Ugandan men regarding the use of LARCs by rural women. Using purposeful sampling, 65 married men aged 20 to 49 were selected for focus group interviews, and 30 were selected for individual interviews. The research was conducted in the Ugandan districts of Rubanda and Kiboga. For individual and focus group interviews, the researcher used semi-structured questions. Data analysis was performed by transcribing the interviews, arranging the field notes, organising, and preserving the data, listening to recordings, perusing field notes and interviews, and then coding and categorizing the data to identify the phenomenon's emergent themes. The study found that rural indigenous Ugandan men had perceptions regarding their rural women's use of LARCs, and these perceptions acted as barriers to use. These included adverse effects, fears, and desires. The study suggests strengthening social and behavioural change in communication, service delivery for LARCs, monitoring and evaluation systems for LARCs. In addition, policymakers should foster a conducive environment to the provision of LARC services, and the Ministry of Education and Sports should prepare pre-service and in-service healthcare professionals to provide LARC services through health training Institutions and Universities.
Protective Effects of Curcumin and its Analogues via the Nrf2
Pathway in Metabolic Syndrome
Authors: Rajabi Shahnaz , Darroudi Majid , Naseri Kobra , Farkhondeh Tahereh , Samarghandian Saeed 
Published: May 2023

Abstract:
Metabolic Syndrome (MetS) refers to a set of medical conditions including insulin
resistance, central obesity, atherogenic dyslipidemia, and hypertension. Due to these
dysregulations, if not treated, MetS could increase the risk of CVA, CVD, and diabetes.
As described by WHO, CVD is the leading cause of mortality in the world which
motivates researchers to investigate the management of its risk factors, especially MetS.
It is reported that oxidative stress secondary to the abundant generation of free radicals
oxygen species (ROS) and the ensuing altered redox status play an important role as a
mediator in MetS. As a result, using new antioxidant agents with higher bioavailability
has been proposed as an efficient treatment.

:
Curcumin (a polyphenol of the diarylheptanoids class), which is used as a traditional
medicine for various diseases including cardiovascular diseases and diabetes, is characterized
by its antioxidant properties which, at least in part, are mediated via the activation of
the Nrf2/ARE signaling pathway. Nrf2 is a transcription factor that plays a key role in
regulating internal defense systems and increases antioxidant levels to decrease oxidative
damage and cell apoptosis. Nrf2 expression and stability are enhanced by curcumin, leading
to a higher rate of Nrf2 migration to the cell nucleus to regulate ARE gene expression,
thus protecting cells against oxidative stress. In this article, we provide a comprehensive
review of the molecular effect of curcumin and its derivatives via Nrf2 regulation
in several conditions, such as diabetes, hypertension, dyslipidemia, and obesity.
Exploring the Potential Mechanism of Action of Ursolic Acid against Gastric Cancer
and COVID-19 using Network Pharmacology and Bioinformatics Analysis
Authors: Liu Zhiyao , Huang Hailiang , Yu Ying , Jia Yuqi , Li Lingling , Shi Xin , Wang Fangqi 
Published: May 2023

Background:
Patients with gastric cancer (GC) are more likely to be infected with 2019 coronavirus
disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and the prognosis
is worse. It is urgent to find effective treatment methods.

Objective:
This study aimed to explore the potential targets and mechanism of ursolic acid (UA) on GC and
COVID-19 by network pharmacology and bioinformatics analysis.

Methods:
The online public database and weighted co-expression gene network analysis (WGCNA) were used
to screen the clinical related targets of GC. COVID-19-related targets were retrieved from online public databases.
Then, a clinicopathological analysis was performed on GC and COVID-19 intersection genes. Following
that, the related targets of UA and the intersection targets of UA and GC/COVID-19 were screened. Gene Ontology
(GO) and Kyoto Encyclopedia of Gene and Genome Analysis (KEGG) pathway enrichment analyses
were performed on the intersection targets. Core targets were screened using a constructed protein-protein interaction
network. Finally, molecular docking and molecular dynamics simulation (MDS) of UA and core targets
were performed to verify the accuracy of the prediction results.

Results:
A total of 347 GC/COVID-19-related genes were obtained. The clinical features of GC/COVID-19 patients
were revealed using clinicopathological analysis. Three potential biomarkers (TRIM25, CD59, MAPK14)
associated with the clinical prognosis of GC/COVID-19 were identified. A total of 32 intersection targets of UA
and GC/COVID-19 were obtained. The intersection targets were primarily enriched in FoxO, PI3K/Akt, and
ErbB signaling pathways. HSP90AA1, CTNNB1, MTOR, SIRT1, MAPK1, MAPK14, PARP1, MAP2K1,
HSPA8, EZH2, PTPN11, and CDK2 were identified as core targets. Molecular docking revealed that UA
strongly binds to its core targets. The MDS results revealed that UA stabilizes the protein-ligand complexes of
PARP1, MAPK14, and ACE2.

Conclusion:
This study found that in patients with gastric cancer and COVID-19, UA may bind to ACE2, regulate
core targets such as PARP1 and MAPK14, and the PI3K/Akt signaling pathway, and participate in antiinflammatory,
anti-oxidation, anti-virus, and immune regulation to exert therapeutic effects.
Natural Products as Monoamine Oxidase Inhibitors: Potential Agents for
Neurological Disorders
Authors: Agrawal Neetu , Bhardwaj Aditya , Singh Sonia , Goyal Ahsas , Gaurav Anand 
Published: May 2023

Abstract:
The role of medicinal plants has been advantageous due to their manifestation through
various cellular and molecular mechanisms. Inhibition of the monoamine oxidase enzyme is suspected
to be a highly effective treatment for various neurological illnesses like Alzheimer's disease,
Parkinson’s disease, depression, social phobia, and panic disorders. The study of phytochemicals
and plant extracts used as a traditional source of medication revealed that they possess the vast potential
for monoamine oxidase inhibition. Thus, the article focuses on the potential use of plant extracts
and phytochemicals as sources of novel MAO inhibitors for treating neurological disorders.
Exhaustive literature search revealed that a variety of phytochemicals from the categories such as
flavonoids, alkaloids, glycosides, alkyl phenyl ketones, coumarin derivatives and essential oils
have displayed potential MAO inhibition. This review highlights the progress made in the discovery
and development of plant-based MAO inhibitors and aims to provide medicinal chemists with
an overview of this information to aid in the development of clinically viable drugs.
A Novel Combined Model to Predict the Prognosis of COVID-19: Radiologicalmetabolic
Scoring
Authors: Zorlu Seray Akçalar , Öz Ayşegül 
Published: May 2023

Aims:
To investigate the performance of a novel radiological-metabolic scoring (RM-S) system to predict mortality and intensive care unit (ICU)
requirements among COVID-19 patients and to compare performance with the chest computed-tomography severity-scoring (C-CT-SS). The RMS
was created from scoring systems such as visual coronary-artery-calcification scoring (V-CAC-S), hepatic-steatosis scoring (HS-S) and
pancreatic-steatosis scoring (PS-S).

Methods:
Between May 2021 and January 2022, 397 patients with COVID-19 were included in this retrospective cohort study. All demographic, clinical and
laboratory data and chest CT images of patients were retrospectively reviewed. RM-S, V-CAC-S, HS-S, PS-S and C-CT-SS scores were
calculated, and their performance in predicting mortality and ICU requirement were evaluated by univariate and multivariable analyses.

Results:
A total of 32 (8.1%) patients died, and 77 (19.4%) patients required ICU admission. Mortality and ICU admission were both associated with older
age (p < 0.001). Sex distribution was similar in the deceased vs. survivor and ICU vs. non-ICU comparisons (p = 0.974 and p = 0.626,
respectively). Multiple logistic regression revealed that mortality was independently associated with having a C-CT-SS score of ≥ 14 (p < 0.001)
and severe RM-S category (p = 0.010), while ICU requirement was independently associated with having a C-CT-SS score of ≥ 14 (p < 0.001) and
severe V-CAC-S category (p = 0.010).

Conclusion:
RM-S, C-CT-SS, and V-CAC-S are useful tools that can be used to predict patients with poor prognoses for COVID-19. Long-term prospective
follow-up of patients with high RM-S scores can be useful for predicting long COVID.
A Randomized Comparison of Transradial and Transfemoral Approach in
Hepatic Arterial Infusion Chemotherapy
Authors: Li Basen , Li Qin , Peng Ling , Xiang Kun , Xu Anhui 
Published: May 2023

Introduction:
Hepatic arterial infusion chemotherapy (HAIC) has been popular for treating unresectable hepatocellular carcinoma (HCC). However, there are few reports comparing the transradial approach (TRA) and transfemoral approach (TFA) in HAIC.

Objective:
This study aimed to compare the duration of the hepatic artery catheterization, fluoroscopy time (FT), radiation exposure, safety, and quality of life associated with the procedure in patients undergoing HAIC via TRA and TFA.

Methods:
This prospective, single-center, randomized, controlled study included 120 patients with unresectable HCC undergoing HAIC procedures. Patients were randomly assigned to group A (n = 60, TRA-HAIC) or group B (n = 60, TFA-HAIC). The hepatic artery catheterization time, FT, entrance surface dose (ESD), dose area product (DAP), procedure-related complications, and quality of life associated with the procedure were assessed between the two groups. Independent-sample t-test and analysis of variance (ANOVA) were used to assess differences. Statistical significance was set at P < 0.05.

Results:
HAIC procedures were successfully performed in both groups. The hepatic artery catheterization time (19.35 ± 5.84 vs. 18.93 ± 5.62 minutes, P = 0.837), FT (2.35 ± 2.23 vs. 2.25 ± 2.16 minutes, P = 0.901), ESD (259.32 ± 167.46 vs. 250.56 ± 170.58 mGy, P = 0.449), and DAP (125.37 ± 60.65 vs. 120.56 ± 64.33 Gy.cm3, P = 0.566) were comparable between the two groups. The incidence of artery occlusion (10.0% vs. 0%, P < 0.001) in the TRA group was significantly higher than that in the TFA group. TRA was associated with a statistically significant (P < 0.05) improvement in the quality of life.

Conclusion:
TRA to HAIC was associated with greater improvement in the quality of life associated with the procedure compared with TFA. Both approaches to HAIC had similar efficiency, safety, radiation exposure, and procedure duration.
Contrast-enhanced Ultrasound of Xanthogranulomatous Endometritis: A Case
Report and Literature Review
Authors: Wu Hailan , Liu Juan , Chen Li , Peng Juan 
Published: May 2023

Introduction::
Xanthogranulomatous endometritis (XGE) is a rare inflammatory disease, which can easily misdiagnose as cancer in imaging diagnosis. Diagnosis
of XGE relies on histopathological examination and immunohistochemistry.

Case Presentation:
In this study, a case of a 72-year-old female with XGE and elevated CA125 is presented, which was misdiagnosed as endometrial cancer in
transvaginal ultrasonography and ovarian cystadenocarcinoma in CT. However, the features of XGE on the contrast-enhanced ultrasound (CEUS)
were different from that of endometrial cancer. The patient finally underwent laparoscopic hysterectomy and bilateral adnexectomy.

Discussion::
The histopathological examination and immunohistochemistry suggested xanthogranulomatous endometritis (histiocytic endometritis). This case
report manifests that CEUS may be a new noninvasive diagnostic method for XGE, which may reduce extensive tissue sampling and unnecessary
hysterectomies for patients.
A Review of Recent Patents on LoRaWAN
Authors: Wu Qing 
Published: May 2023

Background:
LoRaWAN technology enables IoT devices with ubiquitous connectivity,
which further empowers a broad spectrum of applications, including civil engineering, agriculture,
and smart home. Although LoRaWAN has low-power energy consumption and long-range communication
capability, it has many features that should be carefully managed to improve its performance.

Objective:
This paper aimed to review recent patents on improving the performance of LoRaWAN.

Methods:
The most related patents on improving the performance of LoRaWAN were discussed and
analyzed.

Results:
A total of 71 patents were reviewed. This paper proposed a 2D taxonomy to categorize the
existing patents. These patents aimed at focusing on the main components of LoRaWAN, i.e., end
node, gateway, and server, and improving the performance of LoRaWAN from six aspects, i.e., energy
efficiency, communication range, transmission efficiency, collision management, network security,
and interoperability. The methodologies used in the current patent development were also
discussed.

Conclusion:
Tremendous efforts have been devoted to improving the performance of LoRaWAN in
recent years. To continue the growth of LoRaWAN technology, future patent development may focus
on scalability, cost-effectiveness, and ease of implementation.