bluuebunny/crossref_metadata_2025_split huggingface dataset:
Single-cell transcriptomic profiling uncovers cellular complexity and microenvironment in gastric tumorigenesis associated with Helicobacter pylori
Authors: Li Nianshuang , Xu Xinbo , Wang Huan , Zheng Pan , Chen Sihai , Zhou Yanan , Fei Xiao , Lei Yuting , Yang Xiaoyu , Ouyang Yaobin , Xie Chuan , He Cong , Hu Yi , Cao Yi , Li Zhengrong , Guo Guoji , Ge Zhongming , Wu William Ka Kei , Shu Xu , Liu Jianping , Lu Nonghua , Zhu Yin 
Published: November 2023

Abstract
Background Helicobacter pylori (H. pylori) infection is a key initiating factor in the Correa cascade of gastric carcinogenesis, but the comprehensive understanding of the pathogenic mechanisms underlying H. pylori -induced gastric cancer (GC) remains elusive. Here, we generated a single-cell atlas of gastric tumorigenesis comprising 18 specimens of gastritis, intestinal metaplasia and GC with or without H. pylori infection.
Results Gradually decreased proportion of epithelial cells and increased percentages of myeloid cells were observed in Correa carcinogenic cascade. Remarkably, the epithelial subset enterocytes were highly enriched in intestinal metaplasia, with high expression of lipid metabolism-related genes, and HNF4G was predicted as its specific transcription factor. Compared to non-cancerous tissues, GC exhibited completely different fibroblast cell states, with enrichment of immune regulatory functions. Furthermore, the differentially expressed genes, in H. pylori-positive and negative epithelial cells, fibroblasts and myeloid cells, were identified. Notably,the stromal cells, particularly inflammatory-cancer associated fibroblasts (iCAFs) and tumor-like Endothelial cells (ECs), play an important contributory role in GC microenvironment. H. pylori-positive specimens exhibited enriched cell-cell communication, with significantly active SPP1, TNF signaling networks.
Conclusions Our study provides a comprehensive landscape of gastric carcinogenesis ecosystem and novel insights into the molecular mechanisms underlying H. pylori-induced GC.
An economic model to understand the cost-effectiveness of olanzapine orally dispersible tablets (ODT) and olanzapine film coated tablets as a group compared with other oral atypical antipsychotics for treating schizophrenia in Morocco
Authors: Tazi Ahmed , Errachidi Prof. Faouzi , Sonawane Dipesh , Tahri Ghizlane , Rao Sameer , Mehta Suyog 
Published: November 2023

Abstract
Background:
Antipsychotic medications are the primary treatment for schizophrenia, with olanzapine being an effective medication for schizophrenia. The economic cost for each individual with schizophrenia is high, with antipsychotic medication being a major expense. This study aims to develop an economic decision model that compares different treatment options for schizophrenia patients, including olanzapine Orally Dispersible Tablets (ODT), olanzapine [ODT + Standard Oral Tablet (SOT)], risperidone (ODT + SOT), and aripiprazole (ODT + SOT), to determine their cost-effectiveness with an objective to optimize healthcare resource allocation in Morocco.
Methods:
The study used published medical literature and a clinical expert panel to develop a decision analytic model. This model was designed to capture parameters such as adherence levels, treatment discontinuation, relapse with and without hospitalization, quality-adjusted life years (QALYs), treatment-related adverse events, healthcare resource utilization, and associated costs. The main outcomes of interest included the total annual direct cost per treatment, QALYs, and incremental cost-effectiveness ratio (ICER) per 1 QALY gained. One-way and probabilistic sensitivity analyses were employed to account for parameter uncertainty.
Results:
According to the simulation model, the ODT and ODT + SOT as a group form of olanzapine was the most effective treatment option in terms of a lowest percentages of inpatient relapse, and patients who remained stable (11% and 79% respectively) than risperidone (19% and 62% respectively) and aripiprazole ODT (26% and 50% respectively) and ODT + SOT formulation groups. Olanzapine (ODT + SOT) therapy group was cost-effective when compared to the combined group of ODT + SOT forms of risperidone (ICER: Moroccan Dirham (MAD) 103,907), and aripiprazole (ICER: MAD 65,047). Additionally, olanzapine ODT was found to be cost-effective compared to olanzapine SOT with an ICER of MAD 3,921, risperidone ODT with an ICER of MAD 1,02,298, risperidone SOT with an ICER of MAD 31,088, and aripiprazole ODT or SOT formulations. All the above ICERs fall under the willingness-to-pay threshold in Morocco of MAD 250,832.40. Sensitivity analyses confirmed the reliability of the findings.
Conclusions:
The model concluded that olanzapine ODT is the most cost-effective first-line treatment option for schizophrenia in Morocco when compared to other atypical antipsychotic medications in ODT and SOT formulations.
Primary oral mixed neuroendocrine-non-neuroendocrine neoplasm (MiNEN): a rare case report and review of the literature
Authors: Sripo Pawat , Kouketsu Atsumu , Kuroda Kanako , Miyashita Hitoshi , Sugiura Tsuyoshi , Kumamoto Hiroyuki 
Published: November 2023

Abstract

Mixed neuroendocrine-non-neuroendocrine neoplasms (MiNENs) are rare tumors recently characterized by the presence of both neuroendocrine and non-neuroendocrine components within the same tumor tissue. Although MiNEN found their place in the WHO classification for various organs, this composite tumor in the head and neck region remains uncharted. We present a case of primary oral MiNEN in a 64-year-old male located on the left side of lower gingiva. Biopsy raised suspicion of neuroendocrine carcinoma (NEC) and the patient underwent partial mandibulectomy. The resected specimen showed two distinct components of NEC and squamous cell carcinoma (SCC) with the confirmation of immunohistochemical markers. There has been no sign of recurrence nor metastasis 6 years after the surgery. In addition, we have conducted a review of published cases with potential relevance to this entity, resulting in 5 cases. The diverse terminology reinforces the need for a standardized classification system of oral/head and neck MiNENs.
Standardization of suitable Gamma irradiation doses 60 Co for mutagenesis in strawberry (Fragaria × annanasa Duch) cv. Chandler
Authors: Rodge Rahul R. , Rajan Rajni , Sharma Sunny , Singh Tanya 
Published: November 2023

Abstract
The process of mutation breeding for strawberry varieties entailed subjecting runner sections to irradiation, specifically utilizing three unique dosages of 60Co-gamma rays. The present study was carried out at Lovely Professional University, wherein strawberry runners belonging to the cv. Chandler were subjected to varying dosages of acute gamma radiation. The irradiation therapy was conducted at Punjab Agriculture University using the 60Co source. Different concentrations, namely 20 Gy, 30 Gy, 40 Gy, and 0 Gy, were administered at a consistent dosage rate of 1.52 Gy per minute. The physiological effects arising from irradiation were evaluated by the LD50 analysis, which was measured 30 days post-transplantation, serving as a benchmark for three distinct levels of irradiation dosages. The highest mortality rate was recorded in the group exposed to the maximal dosage of irradiation, which was 40 Gy. In addition to the control group, it was noted that the irradiated dose of 20Gy yielded the greatest plant height, fruit length, and diameter, while the lowest results were obtained from the 40 Gy treatment. Furthermore, the 20 Gy dose exhibited the largest leaf area index, number of leaves, and chlorophyll levels, whereas the 40 Gy treatment yielded the lowest outcomes. The occurrence of early flower bud formation was documented at a dose of 30 Gy, while late flower bud formation was observed at a dose of 20 Gy. Additionally, early flowering was noted at a dose of 40 Gy, with late flowering occurring at a dose of 20 Gy. Furthermore, early fruit set was found at a dose of 40 Gy, while late fruit set was observed at a dose of 20 Gy. In our observation of yield, we recorded the largest number of buds, flowers, and fruits at a radiation dose of 20 Gy. Conversely, we noticed a lesser number of buds with a radiation dose of 40 Gy. The results indicate that the maximum values for primary secondary root length and root number were recorded in the 30 Gy treatment, while the lowest values were observed in the 40 Gy treatment. Additionally, a greater number of deformed fruit and leaves were observed in the 40 Gy treatment of gamma irradiation dose. These findings would be beneficial in future endeavours aimed at producing potential mutants in the strawberry plant.
eDNA reveals the ecology and seasonal migration of a rare sturgeon species in the Ural River
Authors: Abileva Gulmira , Turzhanova Ainur , Zhamangara Aizhan , Khapilina Oxana , Kalendar Ruslan 
Published: November 2023

Abstract
Environmental DNA (eDNA) technology is an essential tool for monitoring living organisms in ecological research. The combination of eDNA methods with traditional methods of ecological observation can significantly improve the study of the ecology of rare species. Here we present the development and application of an eDNA approach to identify rare sturgeons in the lower reaches of the Ural River (Zhaiyk) (~ 1084 km). The presence of representatives of the genus Sturgeon was detected at all sites in spring (nine sites) and autumn (ten sites), while they were absent during the summer period, consistent with their semi-anadromous ecology. Detection in spring and autumn indicates the passage of spring and winter forms to the lower and upper spawning grounds respectively. This study confirms the difficulties of species-specific identification of Eurasian sturgeon and provides the first documented eDNA detection of specimens of the genus Sturgeon in the Ural River. It also provides a biogeographic snapshot of their distribution, experimentally confirming their seasonal migrations in the lower reaches of the river. The successful detection of sturgeon motivates further eDNA surveys of this and other fish species for accurate species identification and population assessment, opening up prospects for the management of these threatened species.
The Effects of Nordic Walking on Working Memory in Middle-aged and Elderly Women: Evidence from the ERP
Authors: Zhang Yanhui , Zheng Jian , Xu Chang 
Published: November 2023

Abstract
Objectives To explore the effect of Nordic walking on working memory in middle-aged and elderly women.
Methods. Fifty-four women were divided randomly into two groups: 6-month Nordic walkingintervention and no intervention (control). Working memory performance was assessed using 1-back and 3-back tasks, and an event-related potential measure was used to identify temporal components of the neurofunctional underpinnings of this performance.
Results Nordic walking significantly enhanced the discernment aspect of working memory. It also increased P3 amplitude and decreased P3 latency.
Conclusion The findings of this study suggest that Nordic walking can enhance working memory and neural activity in middle-aged and elderly women and thus that it may serve as an effective exercise for these groups.
Tailored apoptotic vesicles promote bone regeneration by releasing the osteoinductive brake
Authors: Liu Yunsong , Zhang Xiao , Cheng Yawen , Zhu Yuan , Liu Yaoshan , Liu Xuenan , Ding Yanan , Li Deli 
Published: November 2023

Abstract
Accumulating evidence has demonstrated that apoptotic vesicles (apoVs) derived from mesenchymal stem cells (MSCs) play a vital role in bone regeneration, and possess superior capabilities compared to MSCs and other extracellular vesicles derived from MSCs (like exosomes). The osteoinductive effect of MSC-apoVs is attributed to their diverse contents, especially enriched proteins or microRNAs (miRNAs). To optimize their osteoinductive capacity, it is indispensable to determine the unique cargo profiles of MSC-apoVs. In our previous study, we established the protein landscape and identified the specific proteins of MSC-apoVs. However, the features and functions of miRNAs enriched in MSC-apoVs remain elusive. In this study, we compared MSCs, MSC-apoVs, and MSC-exosomes from two different types of MSCs. We established a unique miRNA map of MSC-apoVs and identified 7 miRNAs specifically enriched in apoVs compared to MSCs and MSC-exosomes, which can be used as apoV-specific miRNAs. Among these 7 specific miRNAs, hsa-miR-4485-3p is the most abundant and stable miRNA. Then, we explored whether it is the main motive force responsible for apoV osteoinductive function. Unexpectedly, hsa-miR-4485-3p enriched in apoVs is proven to inhibit osteogenesis but promote adipogenesis by targeting the AKT pathway. Tailored apoVs by downregulating hsa-miR-4485-3p exhibited a more powerful effect in bone regeneration than normal apoVs. Like releasing the brake, we acquired more powerful osteoinductive apoVs. In summary, we determined miRNA cargo, identified the specific miRNAs of MSC-apoVs, and constructed an optimized tailored apoVs with excellent osteo-inductivity which is promising in apoV-based therapy for bone regeneration.
Afaan Oromo Multi-Label News Text Classification Using Deep Learning Approach
Authors: mosisa Sena 
Published: November 2023

Abstract
Classification is a technique for categorizing textual data into a form of predefined categories. Due to its major consequences in regard to critical tasks such as Information Retrieval, Question Answering, Text Summarization, and Natural Language Understanding, categorization of texts has grown in importance in many real-world applications. Text classification can be done in two different ways: manual and automatic classification. In the manual text classification, A human annotator interprets the substance of text and categorizes it suitably in classification. This procedure normally produces good results, although it is time-consuming and costly. While automatic the task of automatically assigned semantic categories to natural language text, has become one of the methods for organized online information. Despite the fact that several works are done for multi label classification in English and other languages. However, very few works have been worked for multi label classification in the Afaan Oromo language and this due the lack of resources. Most researchers have applied a machine learning approach for classification in Afaan Oromo while no researchers have used a deep learning approach for multi label classification task. Afaan Oromo news texts data are collected from different sources such OBC, FBC and BBC Afaan Oromo. We use the LSTM model using the training dataset and for the classification process. The proposed model is pass through the process of: -preprocessing, wordembedding, deep network building, training the model and classification. To predict class label, the word embedding is used separately and in various combinations through several channels of LSTM, including a single layer and a three-layer with nine outputs, Sigmoid activation functions, and binary cross entropy loss functions. we used software Python to pre-process the data and design the model. Finally, the multi label Afaan Oromo text classification model achieves an accuracy. Micro -F1 90.20% and 83% value for the best for six and nine and macro F1 90.20%and 85.41% for six and nine class respectively.
Admission and goodbye letters from adolescents with anorexia nervosa in a day hospital
Authors: Pinto Sarah , Minier Lisa , Hirot France , Drecq Pauline , Huas Caroline , Godart Nathalie 
Published: November 2023

Abstract
Introduction: Care provision for adolescents with anorexia nervosa (AN) encounters difficulties inherent in the illness (denial, ambivalence) and those related to the fact that it is most often the parents who bring adolescents to care units.A mirror analysis was conductedh the fact that it is the parents who most often bring adolescents to get care.ureuse?nts emplois Our aim was to study the discourse of adolescents with AN treated in a specialized day hospital by way of an analysis of letters written before and after treatment.
Method: Adolescents (12-20 years old) treated for AN in a specialized day hospital, providing multidisciplinary care while enabling a return to schooling inside the facility, were included. We analysed 50 admission letters and 23 goodbye letters using general inductive analysis. A mirror analysis was conducted.
Results: In the admission letters, symptoms, calls for help, and reports on the care trajectories were central themes. Among the categories noted in the admission and goodbye letters, certain were similar, some mirrored others and a few differed.
Conclusion: This study highlights how ambivalence and motivations towards care, recovery and illness interact. It also shows the evolution of the adolescents’ positions via their narratives on their experience of care, the constraints involved and how beneficial it was for them. The results are discussed in a care perspective.
Differentiating benign from malignant ovarian masses with solid components: diagnostic performance of CEUS combined with IOTA simple rules and O-RADS
Authors: Lu Beilei , Liu Chang , Wang Pan , Yang Ping , Zhao Zhengyong , He Wanyuan , Huang Beijian , Qi Jiuling 
Published: November 2023

Abstract

Background Annexal tumors containing the solid components have always been the primary focus of clinical practice and cause difficulty in differential diagnosis. Nevertheless, the existing diagnostic methods currently reported exhibit comparatively lower accuracy in identifying solid or solid-cystic ovarian diseases. This study aimed to apply the International Ovarian Tumor Analysis (IOTA) Simple Rules (SR), the Ovarian-Adnexal Reporting and Data System (O-RADS) and contrast enhanced ultrasound (CEUS) in identical cohort of Chinese patients and to analyze their performance in discrimination of ovarian masses with solid components.
Methods This was a two-center retrospective study that included a total of 94 ovarian lesions in 86 women enrolled from January 2018 to February 2023. The lesions were classified by using the IOTA terminology and CEUS was performed for the lesions exhibiting solid components on ultrasonography, IOTA SR and O-RADS were applied, and CEUS images were analyzed retrospectively. The sensitivity, specificity, and area under the receiver-operating-characteristics curve (AUC) of the different models were also determined.
Results: Among the 94 ovarian lesions, 46 (48.9%) were benign and 48 (51.1%) were malignant. It was found that in the 60 lesions to which the SR could be applied, the sensitivity, specificity and AUC was 0.900, 0.667 and 0.783, respectively. The sensitivity, specificity and AUC of O-RADS was observed to be 1.000, 0.283 and 0.641, respectively. When SR and O-RADS were combined with CEUS, their sensitivity, specificity, and AUC values were increased to 0.917, 0.891, 0.904 and 0.958, 0.783, 0.871, respectively.
Conclusion IOTA SR and O-RADS exhibited relatively low specificity in differentiating malignant from benign ovarian lesions with the solid components, and their diagnostic performance can be significantly improved when combined with CEUS.
Unraveling the Complexities of Aerosol-Meteorology Interactions on Snowmelt in High Mountain Asia
Authors: Roychoudhury Chayan , He Cenlin , Kumar Rajesh , Arellano Avelino 
Published: November 2023

Abstract

Snowmelt in High Mountain Asia is heavily influenced by interactions of aerosols and meteorology. However, uncertainties persist due to the complexity of these interactions, which are typically addressed using myopic approaches and are insufficiently represented in current climate models. Equally ambiguous is the impact of these interactions on snow processes in the context of climate change. Here we present a broader strategy using network theory to attribute key quantities that influence higher-order processes within snowmelt. We combine statistical and machine learning methods using observational and model data, highlighting the underappreciated relevance of coupled processes between aerosols and meteorology on snow, as well as the inconsistent representation of aerosol-meteorology interactions within major reanalyses. We find that carbonaceous aerosols and large-scale circulation emerge as the main drivers of snow interactions, emphasizing the need for their serious consideration in integrated Earth system models for the accurate assessment of water availability in developing economies.
Effects of Alkali Treatment and Drying Method on Densification Process of Bamboo
Authors: Júnior¹ André Luiz Pereira Godoy , Amaral¹ Leo Maia , Galvão¹ Adriano , Molano¹ Juan Camilo Adrada , Junior¹ Holmer Savastano , Kadivar¹ Marzieh 
Published: November 2023

Abstract
In this study, a two-step process of delignification and densification was carried out on Dendrocalamus Asper bamboo specimens. It is aimed to investigate the densification properties of the bamboo samples after removing the lignin. To delignify the samples, two different approaches were applied. The first group was treated in a room-temperature NaOH + NaSO3 solution, while the second group was treated in the same solution at 100 oC. Afterward, the samples were dried in either an oven with 100 oC or at room temperature of 25 oC. Hence, a total of four different groups of delignified and dried samples were produced with an average moisture content of 7 - 10 %. The samples were then densified to 50 % of their original thickness having the thickness reduction determined a priori using a thermo-mechanical press system at 160 oC. The results indicated that all alkali treated samples required a lower load for the densification process compared to the reference. Average compression stress of 17.0 MPa for the reference, 10.3 MPa for the samples treated with alkali solution at room temperature, and 7 MPa for the boiled alkali solution treated samples were applied to achieve a densification degree of 50%. The drying process also affected the compression resistance of bamboo and oven-dried specimens showed an increase of 30% and 17% for room temperature and boiling temperature treatment respectively. The modulus of rupture, limit of proportionality, and elastic modulus of densified bamboo were all negatively impacted by the pre-treatment, according to the results of the bending test. Overall, untreated and treated bamboo displayed similar behavior for physical attributes in densified samples. After being treated with alkaline solution, bamboo showed reduced levels of lignin as well as hemicellulose and cellulose, according to chemical tests. In conclusion although the treatment facilitates the densification process, the time employed for the treatment and the final properties of the material did not prove to be advantageous