bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer
Authors: Deng Tingting , Liang Jianwen , Yan Cuiju , Ni Mengqian , Xiang Huiling , Li Chunyan , Ou Jinjing , Lin Qingguang , Liu Lixian , Tang Guoxue , Luo Rongzhen , An Xin , Gao Yi , Lin Xi 
Published: February 2024

Abstract
Background
Identifying breast cancer (BC) patients with germline breast cancer susceptibility gene (gBRCA) mutation is important. The current criteria for germline testing for BC remain controversial. This study aimed to develop a nomogram incorporating ultrasound radiomic features and clinicopathological factors to predict gBRCA mutations in patients with BC.

Materials and methods
In this retrospective study, 497 women with BC who underwent gBRCA genetic testing from March 2013 to May 2022 were included, including 348 for training (84 with and 264 without a gBRCA mutation) and 149 for validation(36 patients with and 113 without a gBRCA mutation). Factors associated with gBRCA mutations were identified to establish a clinicopathological model. Radiomics features were extracted from the intratumoral and peritumoral regions (3 mm and 5 mm) of each image. The least absolute shrinkage and selection operator regression algorithm was used to select the features and logistic regression analysis was used to construct three imaging models. Finally, a nomogram that combined clinicopathological and radiomics features was developed. The models were evaluated based on the area under the receiver operating characteristic curve (AUC), calibration, and clinical usefulness.

Results
Age at diagnosis, family history of BC, personal history of other BRCA-related cancers, and human epidermal growth factor receptor 2 status were independent predictors of the clinicopathological model. The AUC of the imaging radiomics model combining intratumoral and peritumoral 3 mm areas in the validation set was 0.783 (95% confidence interval [CI]: 0.702—0.862), which showed the best performance among three imaging models. The nomogram yielded better performance than the clinicopathological model in validation sets (AUC: 0.824 [0.755—0.894] versus 0.659 [0.563—0.755], p = 0.007).

Conclusion
The nomogram based on ultrasound images and clinicopathological factors performs well in predicting gBRCA mutations in BC patients and may help to improve clinical decisions about genetic testing.
A community-based advanced nurse practitioner-led integrated oncology care model for adults receiving oral anticancer medication: a pilot study
Authors: Richmond Janice P. , Kelly Mary Grace , Johnston Alison , Murphy Patrick J. , O’Connor Laura , Gillespie Paddy , Hobbins Anna , Alvarez-Iglesias Alberto , Murphy Andrew W. 
Published: February 2024

AbstractOral anti-cancer medications (OAMs) are being used increasingly within cancer care. OAMs offer the potential to improve patient convenience and increase hospital capacity. The clinical assessment for each cycle of OAMs requires specialist patient review often performed in hospital-based oncology units. Consequently, any potential improvement in patient expediency or increased hospital capacity that OAMs can offer is not realised. This study aimed to develop and pilot the specialist assessment of patients receiving OAMs by an Advanced Nurse Practitioner (ANP) in a community-based location.The primary aim of this pilot study was to assess the feasibility of a community-based ANP-led integrated oncology care model for adults receiving OAMs in Ireland who met the pre-specified eligibility criteria. The objectives were to determine the feasibility of a definitive trial of this intervention by measuring patient safety, acceptability to patients and staff and cost of the new model of care.This single-centre pilot study provided patient care (n = 37) to those receiving OAM therapies within a community setting for a 4-month period. Consent rate was high with no attrition other than for clinical reasons. There were 151 contacts with the sample during that time.Results demonstrated that the ANP-led intervention and new model for OAM care was safe, highly acceptable to patients and staff and that related healthcare costs could be captured. Based on the success of this pilot study, the authors conclude that a community-based ANP-led integrated oncology care model for adults receiving OAMs is feasible, and a definitive trial is warranted.Trial registration ISRCTN, ISRCTN10401455. Registered 30 November 2020.
How are texts analyzed in blockchain research? A systematic literature review
Authors: Zhuo Xian , Irresberger Felix , Bostandzic Denefa 
Published: February 2024

AbstractThis paper provides a systematic literature review of text analysis methodologies used in blockchain-related research to comprehend and synthesize existing studies across disciplines and define future research directions. We summarize the research scope, text data, and methodologies of 124 papers and identify the two most common combinations of these dimensions: (1) papers that focus on specific cryptocurrencies tend to apply sentiment analysis to instant user-generated content or news articles to discover the correlations between public opinion and market behavior, and (2) studies that examine the broad concept of blockchain with text data from documents published by companies tend to apply topic modeling techniques to explore classifications and trends in blockchain development. We discover five major research topics in the academic literature: relationship discovery, cryptocurrency performance prediction, classification and trend, crime and regulation, and perception of blockchain. Based on these findings, we highlight three potential research directions for researchers to select topics and implement suitable methodologies for text analysis.
A hybrid model for stock price prediction based on multi-view heterogeneous data
Authors: Long Wen , Gao Jing , Bai Kehan , Lu Zhichen 
Published: February 2024

AbstractLiterature shows that both market data and financial media impact stock prices; however, using only one kind of data may lead to information bias. Therefore, this study uses market data and news to investigate their joint impact on stock price trends. However, combining these two types of information is difficult because of their completely different characteristics. This study develops a hybrid model called MVL-SVM for stock price trend prediction by integrating multi-view learning with a support vector machine (SVM). It works by simply inputting heterogeneous multi-view data simultaneously, which may reduce information loss. Compared with the ARIMA and classic SVM models based on single- and multi-view data, our hybrid model shows statistically significant advantages. In the robustness test, our model outperforms the others by at least 10% accuracy when the sliding windows of news and market data are set to 1–5 days, which confirms our model’s effectiveness. Finally, trading strategies based on single stock and investment portfolios are constructed separately, and the simulations show that MVL-SVM has better profitability and risk control performance than the benchmarks.
Stock liquidity, financial constraints, and innovation in Chinese SMEs
Authors: Liu Wei , Suzuki Yoshihisa 
Published: February 2024

AbstractThis study investigates the relationship between stock liquidity and firm innovation for publicly traded growing small and medium-sized enterprises (SMEs) in China using both innovation input and output. We collected samples of 785 SMEs from China’s Shenzhen Growth Enterprises Market without the financial industry from 2010 to 2020. The empirical findings demonstrate a significant positive relationship between stock liquidity and both innovation input, as measured by R&D investments, and innovation output, as proxied by patenting activities. A series of robustness tests demonstrate the reliability of our results. Increased liquidity enhances SMEs' innovation mainly by alleviating financial constraints, whereas the mediating effect of mergers and acquisitions (M&A) is not apparent at the firm level. Furthermore, the inhibitory effect of blockholder ownership on firm innovation is weak. Further analysis reveals that this favorable impact can last for at least four years, with manufacturing SMEs benefiting the most. Our study shows that the innovation abilities of SMEs can be enhanced by improving stock liquidity, which is mainly driven by tackling financial constraints.
Unveiling vocabulary teaching and learning beliefs of teachers and learners in an EFL context
Authors: Alshumrani Hassan A. 
Published: February 2024

AbstractVocabulary is often considered as a key predictor of second language ability, and how teachers and learners’ beliefs and conceptualizations about vocabulary affect their teaching and learning has recently gained unprecedented momentum in the field of second language education. However, despite their importance, there is a paucity of research that has combined data from teachers and learners to illuminate their beliefs and conceptualizations. The main aim of this quantitative study is to combine data from English language teachers and learners to explore their beliefs and conceptualizations about vocabulary learning and knowledge. The study voluntarily recruited 113 learners and 91 teachers from a major Saudi university to fill out an online questionnaire. The findings revealed that both teachers and learners generally valued vocabulary on a par with grammar, listening, speaking, reading, and writing, and that both groups showed a general understanding of the basic components of word knowledge; however, their beliefs differed significantly. The results also indicated that despite showing an awareness of the role of textbooks and the incidental approach to vocabulary learning, there were significant differences in teachers and learners’ beliefs. The study concluded with a range of suggested implications, as well as suggestions for further studies on how to address the present lacunae in the field.
Understanding the relationship between stay-at-home measures and vaccine shortages: a conventional, heterogeneous, and fractional dynamic approach
Authors: Ullah Mohammad Sharif , Kamrujjaman Md. , Kabir K. M. Ariful 
Published: February 2024

AbstractIn light of the global prevalence of a highly contagious respiratory disease, this study presents a novel approach to address the pressing and unanticipated issues by introducing a modified vaccination and lockdown-centered epidemic model. The rapid spread of the disease is attributed to viral transmissibility, the emergence of new strains (variants), lack of immunization, and human unawareness. This study aims to provide policymakers with crucial insights for making informed decisions regarding lockdown strategies, vaccine availability, and other control measures. The research adopts three types of models: deterministic, heterogeneous, and fractional-order dynamics, on both theoretical and numerical approaches. The heterogeneous network considers varying connectivity and interaction patterns among individuals, while the ABC fractional-order derivatives analyze the impact of integer-order control in different semi-groups. An extensive theoretical analysis is conducted to validate the proposed model. A comprehensive numerical investigation encompasses deterministic, stochastic, and ABC fractional-order derivatives, considering the combined effects of an effective vaccination program and non-pharmaceutical interventions, such as lockdowns and shutdowns. The findings of this research are expected to be valuable for policymakers in different countries, helping them implement dynamic strategies to control and eradicate the epidemic effectively.
Unveiling polymorphism and protein structure prediction insights in diacylglycerol O-acyltransferase 1 and telethonin genes of Egyptian buffalo
Authors: Helalia Sahar M. , El Makawy Aida I. , Ali Neama I. , Hassan Nagwa H. A. , Hassanane Mohamed S. 
Published: February 2024

Abstract
Background
The Egyptian buffalo has a sizable impact on Egypt's agricultural sector and food supply. It is regarded as the main dairy animal and an important source of red meat. This study aimed to detect the polymorphisms of the DGAT1 and TCAP genes and assess the potential impact of the discovered nsSNPs on the stability of the tertiary structure polypeptides of selected genes in Egyptian buffalo.

Methods
Allele identification was made by the restriction fragment length polymorphism (RFLP), and the single nucleotide polymorphisms (SNPs) were recognized by sequencing the purified PCR products. Protein translation indicated the synonymous and non-synonymous SNPs, and the peptides' 3D tertiary structure of selected genes, as well as the effect of amino acid substitution on the protein structure, was performed using bioinformatics tools.

Results
Analysis of the data revealed that an nsSNP was detected in a tested region of the DGAT1 gene and caused an amino acid substitution in a polypeptide that was predicted to be neutral and located in the coiled part of the protein. The analysis of the TCAP gene showed four nsSNPs that caused four substitutions located in the α-helix region. Protein prediction analysis showed that the amino acid substitutions in DGAT1 and TCAP were non-conserved with low sensitivity to variation. The non-conservative amino acid substitutions result in amino acids with new properties different from the original amino acid that change the protein's structure and function.

Conclusion
We can infer that the DGAT1 and TCAP genes' SNPs may affect meat-related traits and may improve meat quality.
Mitigation of water stress by compost and arginine application and its impacts on barley production
Authors: Hellal Farid , El Sayed Saied , Basha Doaa M. R. Abo , Kader Hanan H. Abdel 
Published: February 2024

Abstract
Background
Water-scarce locations necessitate the deployment of creative and sustainable techniques for managing water for agricultural production. Field experiment was conducted at the Experimental Research Farm of National Research Centre, Nubaria region, Egypt to alleviate the harmful effect of water stress on the yield of Mediterranean barley varieties (Giza 125, Tombari, Ksar Megrine and Tamellat) by compost (0.0, 2.0, 4.0, 6.0-ton fed−1) and arginine application (0.00 and 1000 ppm) under deficit irrigation. The amounts of irrigation water applied were “900 and 450” m3 fed−1 to sufficient irrigation and deficit irrigation, respectively.

Results
The greatest and most significant values of the chlorophyll values and relative water content values obtained at the treatment supplied with 6.0-ton compost fed−1 and sprayed with Arginine. There was a significant dramatic decrease in proline content with increasing compost application rates and treated barley plants by Arginine for all the studied barley varieties under both studied irrigation treatments. Increasing compost application rate is associated with significant increase in number of spike m−2 without or with arginine. Barley Tombari variety received 6.0-ton compost fed−1 gained changes to give a greatest significant value of grain (ton fed−1) under sufficient irrigation and Tamellat under deficit irrigation situation. The significant maximum values of the grain yield (1.96- and 2.09-ton fed−1) were attained at Tombari and Tamellat varieties which received 6.0-ton fed−1 compost with or without arginine under sufficient irrigation. The increases in compost rate increment changes to incremented grain yield values with arginine application more than untreated one. The greatest and significant grain yield was found at the treatment received 6.0-ton compost fed−1 with arginine foliar application.

Conclusion
Compost application has an important role in maintaining greatest water use efficiency for plant and arginine application reported to contribute in reduction in destructive effects of a biotic stress thus their importance in increasing the barley production under water stress.
Eye signs as a novel risk predictor in pulmonary arterial hypertension associated with systemic lupus erythematosus
Authors: Li Jianbin , Xiong Jiangbiao , Liu Pengcheng , Peng Yilin , Cai Shuang , Fang Xia , Yu Shujiao , Zhao Jun , Wu Rui 
Published: February 2024

Abstract

Objective
To investigate the role of eye signs in predicting poor outcomes in systemic lupus erythematosus (SLE) patients with pulmonary arterial hypertension (PAH).

Methods
This prospective observational study recruited patients diagnosed with SLE-PAH from Jan. 2021 to Dec. 2021 at the First Affiliated Hospital of Nanchang University; those with other potential causes of PAH were excluded. The evaluation of various parameters, such as N-terminal prohormone of brain natriuretic peptide (NT-proBNP), 6-minute walking distance (6MWD), World Health Organization functional class (WHO-FC), echocardiography, and risk stratification based on the 2015 European Society of Cardiology (ESC)/European Respiratory Society (ERS) Guidelines, was conducted at intervals of every 1–3 months, and a 6-month follow-up period was observed. The primary outcome measure considered improvement if there was a decline in the risk stratification grade at the end point and unimproved if there was no decline. Conjunctival microvascular images were observed and recorded.

Results
A total of 29 SLE-PAH patients were enrolled, comprising 12 in the improved group and 17 in the nonimproved group. All SLE-PAH patients showed various manifestations of eye signs, including vessel twisting, dilation, ischaemic areas, haemorrhages, reticulum deformity, and wound spots. The nonimproved group exhibited significantly lower vessel density (VD) and microvascular flow index (MFI) of conjunctival microvascular images than the improved group. Correlation analysis revealed that VD displayed a negative correlation with the WHO-FC (r = −0.413, p = 0.026) and NT-proBNP (r = −0.472, p = 0.010), as well as a positive correlation with the 6MWD (r = 0.561, p = 0.002). Similarly, MFI exhibited a negative correlation with WHO-FC (r = −0.408, p = 0.028) and NT-proBNP (r = −0.472, p = 0.010) and a positive correlation with 6MWD (r = 0.157, p = 0.004). Multivariate logistic regression analysis indicated that VD (OR 10.11, 95% CI 1.95–52.36), MFI (OR 7.85, 95% CI 1.73–35.67), NT-proBNP, and 6MWD were influential factors in predicting the prognostic improvement of SLE-PAH patients. ROC curve analysis demonstrated that VD, MFI, 6MWD, and NT-proBNP (with respective AUC values of 0.83, 0.83, 0.76, and 0.90, respectively) possessed a sensitivity and specificity of 75 and 100%, as well as 83 and 100%, respectively. Regarding prognostic prediction, VD and MFI exhibited higher sensitivity than 6MWD, whereas MFI displayed higher sensitivity and specificity than NT-proBNP.

Conclusion
SLE-PAH can lead to various conjunctival microvascular manifestations in which vascular density and microvascular flow index can be used to assess cardiopulmonary function and predict therapeutic efficacy and prognosis in SLE-PAH patients.
Plant genes related to Phytophthora pathogens resistance
Authors: Li Qi , Zhu Hai , Ai Gan , Yu Jinping , Dou Daolong 
Published: February 2024

AbstractPlants have evolved a multilayered and sophisticated immune system to establish effective resistance to a variety of pathogens. Phytophthora species are among the most notorious plant pathogens, causing destructive diseases on a variety of agricultural crops. Understanding the plant immune system is crucial for protecting crops from Phytophthora diseases. Here, we summarize the recent work on genes involved in plant resistance against Phytophthora pathogens, including cell surface pattern recognition receptors, cytoplasmic nucleotide-binding leucine-rich repeat receptors, regulator genes, and non-host resistance genes, small RNA, and long non-coding RNA are also discussed in this review. Although the molecular mechanisms of only a small proportion of them have been clarified, emergence of new mechanisms of plant defense will offer exciting opportunities for utilization of these genes in disease resistance breeding as well as generation of disease-resistant crop germplasms.
SOLAMEN syndrome in a toddler
Authors: Wang Andrew B. , Grossman Eric , Chow Bernard 
Published: February 2024

Abstract
Background
Segmental overgrowth, lipomatosis, arteriovenous malformation, and epidermal nevus (SOLAMEN) syndrome is a segmental overgrowth syndrome that is part of Cowden’s Syndrome, a subset of the PTEN hamartoma tumor syndrome cluster. Due to SOLAMEN disease’s rarity, clinical suspicion should arise if multiple small nonspecific variably low-attenuated nodular lesions in the back, shoulders, and upper arms are present on CT, which are associated with mucocutaneous lesions. We present a rare case of SOLAMEN syndrome with widespread lipomatous growth, greater than reported in literature, with confirmed PTEN genetic testing.

Case presentation
We describe a case of a 2-year-old boy with a slowly growing left neck mass since birth. Physical exam revealed macrocephaly and epidermal nevi on left axilla, arm, and fingers, appearing as pink verrucous and has visible veins on chest wall/abdomen. CT and MRI imaging showed a lipomatous hibernoma extending from the leftward neck to the abdominal cavity, encasing vascular structures form the left carotid and subclavian arteries to the diaphragmatic hiatus, in addition to the spleen and kidney. Biopsy of the left shoulder revealed hibernoma, a fatty neoplasm of benign brown fat. Patient had a resection of his left shoulder hibernoma and is currently asymptomatic, undergoing surveillance.

Conclusion
Due to SOMAMEN syndrome’s rarity, clinical suspicion should arise if a patient presents with multiple small-nonspecific variably low-attenuated nodular lesions on CT and mucocutaneous lesions. Ongoing monitoring should be done as there is an increased risk of cancer.
Efficacy improvement of tri-serotypes vaccine for Salmonella using nanomaterial-based adjuvant in chicken
Authors: Ibrahim Hazem M. , Mohammed Gina M. , Sayed Rafik Hamed , Elshoky Hisham A. , Elzorkany Heba Elsayed , Elsaady Shaimaa Abdelall 
Published: February 2024

Abstract
Background
This study aimed to develop a vaccine for controlling salmonellosis, a zoonotic disease affecting both humans and chicken, by employing Fe2O3 ferrous iron oxide (FNPs), silicon dioxide (SiNPs), carboxymethyl chitosan (C.CS NPs), and FNPs-chitosan (FCNPs) nanocomposite as immunological adjuvants. The immune response of vaccinated chicken was assessed through ELISA and challenge tests.

Results
The hydrodynamic diameters of Fe2O3, Fe2O3-CS, C.CS, and SiO2 NPs were found to be 81.95 ± 14.95, 137.1 ± 20.5, 32.86 ± 14.05, and 15.64 ± 3.6 nm, respectively. The incorporation of nanoparticles into the vaccine formulation significantly enhanced its efficacy by eliciting a robust immune response. According to the study, FNPs, SiNPs, C.CS NPs, and FCNPs can be used as immunological adjuvants to strengthen chicken’s immune systems and help prevent salmonellosis. By gradually raising antibody titers, all five vaccine formulations successfully stimulated an immunological response against Salmonella in vaccinated chicken. The size of the immunological response, however, differed amongst the various vaccination formulations. The SiNPs group had the highest antibody titer, followed by the locally administered vaccine.

Conclusions
These findings suggest that the use of silicon dioxide SiNPs as a vaccine delivery system could enhance the immune response to Salmonella in chicken. Overall, the study demonstrates that the use of adjuvanted vaccines with nanomaterials, particularly SiNPs, has significantly increased the protection rate from 67 to 93.3% when compared to the locally used vaccine, which had a protection rate of 83%.