bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aberrant expression of PTPRN2 promotes malignant transformation of colorectal cancer cells through EMT/TRAF2/STAT3 signaling pathway
Authors: Chen Jing , Bai Zhenzhen , Wang Yue , Zhang Hao , Wen Yixun , Zhu Xiaoya , Zhang Shiwu , Cao Liyu 
Published: July 2023

Abstract
Backgroud: Tumor heterogeneity complicates treatment of colorectal cancer (CRC) patients, as it leads to different responses to therapies. Polyploid giant cancer cells (PGCCs) are a rare special subpopulation of heterogeneous cancer cells that are a source of solid tumor heterogeneity. Daughter cells derived from PGCCs through asymmetric cell division exhibit strong migration, invasion and proliferation abilities. However, the underlying molecular mechanism concerning the malignant biological properties in daughter cells remains unclear. Methods: In this study, PGCCs were successfully induced in CRC cells via chemotherapy, using 5-fluorouracil and oxaliplatin. Oncomine, UALCAN, GEPIA, and HPA databases were used to analyze the expression of PTPRN2 and its effect on the survival rate of CRC patients was evaluated on the univariate and multivariate analysis of the GSE39582 dataset. The cellular aggressive phenotype and cell cycle were detected by flow cytometry, transwell, wound healing, and colony formation assays. Transient transfection, western blotting, and co-immunoprecipitation assays were used to analyze molecular mechanism. Results: PTPRN2 is significantly up-regulated compared to that in normal colorectal lesions at the mRNA and protein levels. Patients with CRC exhibiting higher PTPRN2 expression had an unfavorable overall survival. The expression of PTPRN2 was signally elevated in PGCCs with daughter cells whose migration, invasion, and proliferation abilities were significantly weakened after PTPRN2 knockdown. Mechanistic investigations suggested that the expression of the proteins in the MAPK pathway, epithelial-mesenchymal transition (EMT) process, and STAT3/cyclin D1 signaling decreased markedly after PTPRN2 knockdown in PGCCs and their daughter cells. In addition, PTPRN2 exerted these effects through interactions with tumor necrosis factor receptor-associated factor 2 (TRAF2), twist1, and cyclin D1. In PGCCs and their daughter cells, TRAF2 is mainly K63-ubiquitinated, which is necessary for the activation of the MAPK pathway. After PTPRN2 was inhibited, the K63-linked ubiquitination of TRAF2 reduced. Conclusions: PTPRN2 enhanced the malignant transformation in PGCCs and their daughter cells by mediating the EMT process, STAT3/cyclin D1, and MAPK signaling pathways, interacting with twist1, cyclin D1, and TRAF2, and especially accelerating the K63-linked ubiquitination chain attached to TRAF2. Overall, our results indicate that PTPRN2 may be a novel prognostic and theraeputic target for CRC treatment.
Conceptual model of land development based on wheat cultivation
Authors: Saharkhiz Abbas , Mohammadi Iraj Malek , Zamani Gholam Hossein 
Published: July 2023

Abstract
The development of Iran's agricultural sector is influenced by policies based on economic growth, industrial modernization, technology transfer, and an emphasis on increasing production and exports regardless of land management, talent, and capabilities, leading to instability in the agricultural sector and thus failing to achieve its goal. This research was conducted with a capacity-oriented approach to design a ground model for the development of wheat cultivation from a qualitative perspective. Data processing in the open coding process using MAXQDA software version 20 leads to the extraction of 92 concepts (with 377 repetitions) and 27 subcategories, which were divided into 3 levels or main categories. Findings showed that the main drivers of wheat land development consist of economic factors with 10 variables, social factors with 7 variables, and environmental factors with 10 variables. A Comparison of the software model and theoretical model showed that the variable of exploitation type was removed due to non-repetition and relevance and the variables of age, occupation, and education were combined in the variables of demographic characteristics and land integration variables, area under cultivation, irrigation method, price and cost to economic factors and variables of ownership, education and promotion, poverty and destitution, technical knowledge and labor performance to social factors and variables of cultivation type, land use, fallow, optimal cultivation pattern, GDD and use of fertilizers and pesticides to factors Climate added.
Collection of cassava landraces and associated farmers’ knowledge, genetic diversity and viral incidence assessment in western Kenya
Authors: OBARE IVAN , Charimbu Miriam K , Mafurah Joseph , Mutoni Christine K , Woyengo Vincent W , Shah Trushar , Ferguson Morag E 
Published: July 2023

Abstract
Cassava is a crucial food crop in the western region of Kenya, producing 60% of the country’s production. It is mainly grown by small-scale farmers for subsistence use, with any surplus being sold. Many cassava landraces from the western region have been seriously affected by two viral diseases, cassava mosaic disease (CMD) and cassava brown streak disease (CBSD) but have not been conserved, together with associated farmer knowledge, in national or international germplasm repositories. This study aimed at collecting landraces and associated farmers’ knowledge, identifying collected cultivars and determining their genetic diversity. In addition, the incidence and distribution of CMD and CBSD was determined. A collection mission was undertaken covering five counties of western Kenya; Kakamega, Bungoma, Busia, Migori and Homabay. A total of 256 cassava samples were collected from 203 households. In addition, leaf samples were taken from 210 perceived improved varieties and genotyped with the landraces using DArTSeq to confirm whether any of the landraces were infact improved varieties. Stakes from the collected landraces were established in the glasshouse for sprouting and subsequent virus indexing. Molecular diagnostics revealed that 60.5% of collected samples were CMD positive with 33.2% of these being East African Cassava Mosaic Virus and 27.3% being African Cassava Mosaic Virus, and 22.7% were CBSD positive with 12.1% being Cassava Brown Streak Virus and 10.6% being Ugandan Cassava Brown Streak Virus. Interestingly CMD causing viruses were found in all the counties but CBSD-associated viruses were not detected in Kakamega or Bungoma counties. Dual infection of the CMD and CBSD-causing viruses were also found on collected cassava landraces from Busia, Homabay and Migori. These results confirm the urgent need for deployment of varieties with dual resistance to CMD and CBSD. Key informant interviews highlight the importance of cooking as well as eating properties of cassava and yield and time to maturity amongst other characteristics. A total of 57 unique genotypes (39 landraces and 18 improved varieties) were identified. Cassava germplasm from western Kenya was found to have low genetic variability, and this, coupled with the incidences of CMD and CBSD emphasizes the urgent development and deployment of varieties with dual virus resistance. Farmer and consumer preferences should be used to inform priority traits in cassava breeding programmes for the region.
Maternal dietary copper deficiency induces cardiomyopathy and liver injury in offspring
Authors: Hu Ruixiang , Huang Yipu , Jiang Xin , Xu Yi , Zheng Zhirui , Shi Yuansen , Liu Yun 
Published: July 2023

Abstract
Background
Maternal nutritional deficiencies contribute to birth defects and an increased risk for cardiovascular disease and metabolic disease. Accumulating evidences demonstrate that copper deficiency (CuD) is involved in the pathogenesis of many diseases, including heart diseases and liver diseases. However, the effect of maternal CuD on offspring is not clearly explicated. Our study aims to investigate the role of maternal CuD on heart and liver of offspring.
Method
We established a maternal CuD mouse model by feeding pregnant C57BL/6 mice with CuD diet till the end of the experiment. Echocardiography was performed on offspring at postanal day (PND) 14.
Results
We found that CuD caused cardiac systolic dysfunction and cardiac hypertrophy. Moreover, CuD caused hepatic steatosis and hepatic injury. Furthermore, we presented the increased LC3 and decreased p62 in CuD mouse heart and liver tissues, suggesting the activation of autophagy.
Conclusion
maternal CuD caused severely adverse effects on the heart and liver of offspring, which illuminated a better understanding of CuD.
Klippel-Trenaunay-Weber syndrome: oro-dental manifestations and management
Authors: Daume Linda , Renz Cornelius , Trento Guilherme , Kleinheinz Johannes 
Published: July 2023

Abstract
Background: Klippel-Trenaunay-Weber syndrome (KTWS) is a rare congenital systemic disease characterized by cutaneous haemangioma, arterio-venous fistulas or varicosities (or both) and unilateral hypertrophy of hard and soft tissue with different localizations. Typical orofacial manifestations include facial asymmetry, jaw enlargement and malocclusion.
Case presentation: A previously diagnosed 55-year-old male patient was referred to the Department of Cranio-Maxillofacial Surgery presenting with extended mandibular ramus exostosis on the left side and concomitant malocclusion. Surgical removal of the hypertrophic bone was performed due to progressive mouth opening restriction, limited oral hygiene ability and increased mandible deviation. Bleeding complications and wound healing disorders were not observed. Consistent mouth opening training resulted in an improvement in mouth opening.
Conclusion: It is suggested to consider KTWS as one of the differential diagnoses if vascular syndromes in the head and neck region occur. Special attention must be given to dental treatment due to eventual excessive haemorrhage that might occur after oral surgical procedures.
Using Multimodal Learning Analytics to Model Students’ Learning Behavior in Animated Programming Classroom
Authors: Yusuf Abdullahi , M.D Norah , Bello Shamsudeen 
Published: July 2023

Abstract

Studies examining students’ learningbehavior predominantly employed rich video data as their main source of information due to the limited knowledge of computer vision and deep learning algorithms. However, one of the challenges faced during such observation is the strenuous task of coding large amounts of video data through repeated viewings. In this research, we confirm the possibilities of classifying students’ learning behavior using data obtained from multimodal distribution. We employed computer algorithms to classify students’ learning behavior in animated programming classrooms and used information from this classification to predict learning outcomes. Specifically, our study indicates the presence of three clusters of students in the domain of “stay active”, “stay passive”, and “to-passive”. We also found a relationship between these profiles and learning outcomes. We discussed our findings in accordance with the engagement and instructional quality models and believed that our statistical approach will support the ongoing refinement of the models in the context of behavioral profiling and classroom interaction. We recommend that further studies should identify different epistemological frames in diverse classroom settings to provide sufficient explanations of students’ learning processes.
Evaluating fermented fish viscera silage in diets for Colossoma macropomum and its effects on physical quality of pellets, production performance, health parameters, and economic analysis
Authors: Santana Thiago M. , Dantas Francisco M. , Prestes Armando G. , Jerônimo Gabriela T. , Costa Jesaías I. , Santos Driely K. Monteiro dos , Pastrana Yugo M. , Yamamoto Fernando Y. , Gonçalves Ligia U. 
Published: July 2023

Abstract

The production of silage preserves fish viscera using simple techniques and allow the reutilization of nutrients that are usually discarded; thus, promoting circular aquaculture. The aim of this study was to evaluate the inclusion of increasing levels of fish viscera silage on the physical quality of the feed pellets, and the growth performance, health parameters, and economic analysis when tambaqui (Colossoma macropomum) were offered the experimental diets. A fermented fish viscera silage (5% yogurt; 15% molasses; 0.25% antioxidant) was included in the formulation at graded levels in a wet-basis (VS 0%, VS 5%; VS 10%; VS 15%, and VS 20%). Tambaqui (initial weight ~ 22.6 g) were stocked in a recirculation system and fed the experiment diets to apparent satiation for 13 week. At the end of the feeding trial, fish presented ~ 500% growth for all experimental groups. Average feed efficiency was 0.78, protein efficiency rate 2.28%, and relative growth rate 1.79%.day− 1. Fish fed with the highest level of inclusion of viscera silage showed high concentrations of plasma cholesterol but with acceptable values for this species. The inclusion of fish viscera silage in diets for juveniles of tambaqui reduced the activity of the ALT enzyme, confirming normal liver function. Diets with fish viscera silage had a production cost of US$ 0.95 per kg, without significantly impacting on the economic indices. Up to 20% of fish viscera silage can be included in the extruded feed formulation to juveniles of tambaqui, without impairing growth performance and health parameters.
The prognostic factors on survival outcome following locoregional recurrence after mastectomy for breast cancer – A retrospective study in single medical centre in lower incidence and young age area
Authors: Hong Zhi-Jie , Liao Guo-Shiou , Feng An-Chieh , Hsu Sheng-Der , Yu Jyh-Cherng 
Published: July 2023

Abstract
Background.
Women of breast cancer with locoregional recurrence is a ‘high risk’ subgroup with respect to systemic recurrence and mortality after mastectomy. It is important to early identify the prognostic factors on survival outcome following locoregional recurrence after mastectomy, especially in low incidence and young age area.
Methods.
Of 3,364 patients undergoing mastectomy for breast cancer from 2002 to 2020, total 68 patients (2.02%) with the age of 32 to 81 years, had locoregional recurrence as the first event. We analysed prognostic factors on overall and post-relapse survival outcomes, like as age at primary diagnosis, intrinsic molecular subtypes, initial diagnosis stage, prior neoadjuvant chemotherapy, and time to relapse, by Kaplan-Meier Estimate Method and Cox proportional hazards regression models. Statistical significance was accepted at P < 0.05.
Results.
Of 68 patients with locoregional recurrence, 37 patients are alive and 31 patients died on the end of study. The survival group has longer time to relapse (mean, 77.87 vs. 33.28 months), compared to the mortality group. Among all collected factors, age at primary diagnosis (age ≦ 55 vs. >55 y/o) is one important prognostic factor on overall (p = 0.044) and post-relapse survival outcomes (p = 0.046), after controlled all confounding factors of initial diagnosis stage, prior neoadjuvant chemotherapy condition, and time to relapse after initial therapy by cox proportional hazard model.
Conclusions.
The patients with the age > 55 years at primary diagnosis is a significantly poor prognostic factor on survival outcome following locoregional recurrence after mastectomy, so they need more aggressive treatment when encountering locoregional recurrence.
Screening for primary aldosteronism on and off interfering medications
Authors: Li Xiaoyu , Liang Jiayu , Hu Jingbo , Ma Linqiang , Yang Jun , Zhang Aipin , Jing Ying , Song Ying , Yang Yi , Feng Zhengping , Du Zhipeng , Wang Yue , Luo Ting , He Wenwen , Shu Xiaoyu , yang shumin , Li Qifu 
Published: July 2023

Abstract
Objective
To determine whether antihypertensives will affect diagnostic accuracy of the ARR to an extent that is clinically relevant.
Methods
Confirmatory tests were used to confirm or exclude PA diagnosis. Area under the receiver operating characteristic curve (AUC), specificity and sensitivity of ARR performance in different conditions were calculated.
Results
208 PA and 78 essential hypertension (EH), and 125 PA and 206 EH patients, were included in the retrospective and prospective cohort, respectively. AUC of ARR on interfering medications was comparable to ARR off interfering medications (retrospective: 0.82 vs. 0.87, p = 0.20; prospective: 0.78 vs. 0.84, p = 0.07). At a threshold of 20 pg/µIU, the sensitivity of ARR on interfering medications was lower (11.1–23.2%) while the specificity was higher (10.2–15.2%) than ARR off interfering medications. However, when the ARR threshold on interfering medications was lowered to 10 pg/µIU, both the sensitivity (retrospective: 0.91 vs. 0.90, p = 0.61; prospective: 0.86 vs. 0.82, p = 0.39) and specificity (retrospective: 0.49 vs. 0.59, p = 0.20; prospective: 0.58 vs. 0.66, p = 0.10) were comparable to the ARR threshold off interfering medications.
Conclusion
Using ARR to screen for PA whilst taking interfering antihypertensive drugs is feasible in most cases, but the ARR threshold needs to be reduced.
Trial Registration
ClinicalTrials.gov identifier: NCT04991961
Weighted directed graph-based automatic seizure detection with effective brain connectivity for EEG signals
Authors: Sun Qi , Liu Yuanjian , Li Shuangde 
Published: July 2023

Abstract
Epileptic seizure is one of the most common neurological disorders characterized by sudden abnormal discharge of neurons in the brain. Automated seizure detection using electroencephalograph (EEG) recordings would improve the quality of treatment and reduce medical overhead. The purpose of this paper is to design an automated seizure detection framework that can effectively identify seizure and non-seizure events by discovering connectivity between brain regions. In this work a weighted directed graph-based method with effective brain connectivity (EBC) is proposed for seizure detection. The weighted directed graph is built by analyzing the correlation among the different regions of the brain. Then, graph theory-based measures are used to extract features for classification. Furthermore, we illustrate the ability of the proposed method to achieve seizure detection for the patient-specific model and the cross-patient model. The results show that the proposed method achieves accuracy values of 99.97% and 98.29% for the patient-specific model and the cross-patient model in the CHB-MIT dataset, respectively. These results demonstrate that the proposed method achieves an effective classification performance and can be used to provide assistance for automatic seizure detection and clinical diagnosis.
Synthetic computed tomography generation from multi-sequence magnetic resonance images for nasopharyngeal carcinoma treatment planning via cycle-consistent generative adversarial network
Authors: Liu Yimei , Wu Shuyu , Chen Meining , Wang Yixuan , Gu Huikuan , Zhang Jun , Zhao Chong , Lu Yao , Shen Guanzhu , Qi Zhenyu , Deng Xiaowu , Peng Yinglin 
Published: July 2023

Abstract
Background and purpose: The reliability of deep-learning-based methods for synthetic CT (SCT) generation depends on magnetic resonance (MR)-CT registration errors and the different anatomical information and contract divergence of various tissues in different sequences MRI. This study aimed at establishing CycleGAN models of different single-sequence MRI images and multi-sequence MRI images and investigating the effect of different MRI sequences in the patients with complex nasopharyngealcarcinoma.
Materials and methods: Three sequences of MR and planning CT (PCT) images of 151 patients with nasopharyngeal carcinoma were acquired in the radiation treatment position. The number of training, verification, and test sets was 108, 16, and 27, respectively. Four unsupervised CycleGAN-based models were trained using different sequences (single channels) and combinations (multiple channels) as inputs. PCT and MRI pairs were used for network training and testing, respectively. The variables were evaluated between the PCTs and SCTs generated from the different models.
Results: T2WI CycleGAN model achieved better results than those of T1WIC and T1WI for a single-sequence model. The CycleGAN model with multiple sequences (T1WI+T2WI+T1WIC) as input to generate the SCT achieved a higher accuracy than that of any single MR sequence model. Meanwhile, the average (3%, 3 mm) gamma passing rates were over 99.06%, and the absolute dose discrepancies within the regions of interest were 0.73%±0.73% for the multi-sequence MR model.
Conclusion: CycleGAN with multiple MR sequences as the model input showed the best accuracy. The T2WI images are suitable for SCT prediction in clinical scenarios with limited acquisition sequences or times.
Concomitant BRAF V600E and NRAS Q61R Mutations in the Same Thyroid Nodule : A Case Report
Authors: Brogna M. , Collina F. , Losito S. , Clery E. , Montone A. , DelSesto M. , Ferrara G. 
Published: July 2023

Abstract
ABSTRACT: Papillary thyroid cancer(PTC) is the most common type of well differentiated endocrine malignancy Generally thyroid nodules with multiple oncogenic mutations are uncommon with an occurrence whic may be related to more aggressive biological behavior of tumors. (6).
RET/PTC rearrangement, RAS, and BRAF mutations are considered to be mutually exclusive in papillary thyroid carcinoma (PTC) (8). Concomitant RET/PTC, RAS, or BRAF mutations have been documented, although the impact of these mutations for tumor growth and survival is debated (6,7,8).
CASE PRESENTATION: Here we present a rare case of woman 46 years old with a neck mass and thyroid nodule classified as TIR5 on cytological examination.
We found contemporary BRAF p.(Val600Glu) (p. (V600E); c. 1799T>A) and NRAS p. (Gln61Arg) (p. (Q61R); c.182A>G) mutations in morphologically different areas within the same lobe (the right one); The two lesions show different morphology. The mutated BRAF lesion showed morphological characteristics compatible with classic papillary carcinoma; The mutant NRAS lesion shows morphological features compatible with follicular variant papillary carcinoma.
To the best of our knowlodges, this is the first time that such mutations, which are normally mutually exclusive, have been detected at the same time.
CONCLUSIONS: The finding of synchronous mutations is a rare occurrence suggesting for intratumoral heterogeneity (ITH) even in PTC.
Patients with multiple mutations have a clinical worse prognosis, generally characterized by an aggressive thyroid cancer, which may influence the surgical treatment, chemotherapy, and BRAFV600E mutation-targeting therapy.