Miracle-dz/UniFAR-FTUs huggingface dataset:
Preoperative differentiation of gastric schwannomas and gastrointestinal stromal tumors based on computed tomography: a retrospective multicenter observational study

Introduction Gastric schwannoma is a rare benign tumor accounting for only 1–2% of alimentary tract mesenchymal tumors. Owing to their low incidence rate, most cases are misdiagnosed as gastrointestinal stromal tumors (GISTs), especially tumors with a diameter of less than 5 cm. Therefore, this study aimed to develop and validate a diagnostic nomogram based on computed tomography (CT) imaging features for the preoperative prediction of gastric schwannomas and GISTs (diameters = 2–5 cm). Methods Gastric schwannomas in 47 patients and GISTs in 230 patients were confirmed by surgical pathology. Thirty-four patients with gastric schwannomas and 167 with GISTs admitted between June 2009 and August 2022 at Hospital 1 were retrospectively analyzed as the test and training sets, respectively. Seventy-six patients (13 with gastric schwannomas and 63 with GISTs) were included in the external validation set (June 2017 to September 2022 at Hospital 2). The independent factors for differentiating gastric schwannomas from GISTs were obtained by multivariate logistic regression analysis, and a corresponding nomogram model was established. The accuracy of the nomogram was evaluated using receiver operating characteristic and calibration curves. Results Logistic regression analysis showed that the growth pattern (odds ratio [OR] 3.626; 95% confidence interval [CI] 1.105–11.900), absence of necrosis (OR 4.752; 95% CI 1.464–15.424), presence of tumor-associated lymph nodes (OR 23.978; 95% CI 6.499–88.466), the difference between CT values during the portal and arterial phases (OR 1.117; 95% CI 1.042–1.198), and the difference between CT values during the delayed and portal phases (OR 1.159; 95% CI 1.080–1.245) were independent factors in differentiating gastric schwannoma from GIST. The resulting individualized prediction nomogram showed good discrimination in the training (area under the curve [AUC], 0.937; 95% CI, 0.900–0.973) and validation (AUC, 0.921; 95% CI, 0.830–1.000) datasets. The calibration curve showed that the probability of gastric schwannomas predicted using the nomogram agreed well with the actual value. Conclusion The proposed nomogram model based on CT imaging features can be used to differentiate gastric schwannoma from GIST before surgery.
Determinants of Sexo-Reproductive Health Needs of Adolescent Girls in the Kumbo West Health District of Cameroon

Background: The sexo-reproductive health of adolescent girls is a public health issue. Objectives: The aim of this study was to examine factors associated with comprehensive categories of adolescent girls’ sexo-reproductive health needs. Methods: This was a cross sectional study among adolescent girls (target population) carried out from April to May 2018 in the Kumbo West Health District. We used a two-stage cluster sampling design followed by a systematic random sampling technique to select participants. Results: A total of 1525 adolescent girls with mean age 15.6 (SD=2.20) participated in the study. Participants relied on school teachers (66.6%), mothers (27.3%), and sisters (25.1%) for information on sexo-reproductive health. The odds of reporting ever having had sex were lower among participants who had a higher number of years expected to continue schooling (AOR: 0.59; 95% CI: 0.34-0.95), not being job seekers (AOR: 0.53; 95% CI: 0.29-0.97), being Muslims (AOR: 0.03; 95% CI: 0.01-0.07) and living with nuclear family (AOR: 0.35; 95% CI: 0.17-0.70). Mean age of sexual debut was significantly lower among participants who had never worked for payment (t=2.931, p=0.004), living in a nuclear family (t=3.94, p<0.001) and having consumed alcohol in the last 30 days (t=-4.77, p<0.001). Proportion of participants who reported been sexually attracted to persons of the same sex was 10.82% (95% CI: 8.4-14.5) with 6.48% (95% CI: 3.9-8.2) reported having had sexual contact with persons of the same sex. Those who have had <2 sexual partner in the past 12 months were 0.17 times less likely to have correct knowledge on contraceptive methods compared to those with ≥ 2 sexual partners. The proportion of participants reporting ever been forced to have sex was 13.06% (95% CI: 10.95-15.52). Also, participants reporting ever having a “one night stand” and having sex in exchange of gift and money were 1.9% (95% CI: 1.17-3.08) and 1.19% (95% CI: 0.64 2.19) respectively. Conclusion: This study has explored current sexo-reproductive health determinants among adolescent girls and to address any barriers, a Mhealth sexo-reproductive health scheme that takes into account local socio-cultural contexts is urgently needed.
The Combined Analysis of the Transcriptome and Metabolome Revealed the Possible Mechanism of Flower Bud Formation in Amorphophallus bulbifer

The flowering of Amorphophallus bulbifer (A. bulbifer) plays an important role in its reproduction. The flowers and leaves of A. bulbifer cannot grow at the same time. However, the physiological and molecular mechanisms involved in flower bud and leaf bud formation are still unclear. In this study, the flower buds and leaf buds of A. bulbifer in the early stage of growth were used as research materials, transcriptome and metabolome analyses were carried out, and the soluble sugar and starch contents of A. bulbifer corms were determined. Transcriptome analysis revealed 5542 differentially expressed genes (DEGs) between flower buds and leaf buds, 3107 of which were upregulated and 2435 of which were downregulated. Enrichment analysis of the KEGG pathway showed that these differential genes were enriched mainly in the plant hormone signal transduction, DNA replication and fatty acid elongation pathways. A total of 5296 significant differentially abundant metabolites were screened out by nontargeted metabolomics analysis. The differentially abundant metabolites were functionally classified in the HMDB, and 118 were successfully matched, including 17 that were highly expressed in flower buds. The differentially abundant metabolites in the flower buds were mainly enriched in pathways such as amino acid metabolism, isoquinoline alkaloid biosynthesis and pyrimidine metabolism. Targeted metabolomics analysis revealed that the contents of ABA, ZT and iPA in flower buds were significantly greater than those in leaf buds, while the opposite trend was observed for IAA. The analysis of soluble sugar and starch contents showed that the starch and soluble sugar contents in flower buds were significantly greater than those in leaf buds. The results of this study showed that flower bud development in A. bulbifer was regulated by amino acids, starch, ABA, ZT, iPA, IAA and other hormones. These findings could lead to valuable genetic resources for further study of A. bulbifer flowering and provide a deeper understanding of the molecular basis of A. bulbifer flowering.
Evaluation of forest loss in Balikpapan Bay in the end of 2015 based on Sentinel-1A polarimetric analysis

Satellite remote sensing has proved to be efficient for forest change monitoring. In tropical areas, polarimetric satellite images have a great potential given their ability to see through clouds, smoke and atmospheric haze. For Balikpapan Bay (Borneo, Indonesia), Sentinel-1A acquired images every 24 days during 2015 in both vertically co-polarized and cross-polarized modes. Using series of polarimetric radar images taken before and after an observed event (in this case a fire), information about changes in native forest can be delivered. In this work we detect and delineate areas burnt or damaged by catastrophic fires in autumn 2015. This work demonstrates a potential of satellite radar imagery using a relatively simple method for identification of forest changes. The whole processing chain as presented has been prepared for using open-source software (mainly ESA SNAP). Presented results were compared to both global services (GLAD and FIRMS databases) and local observation (UAV image over burnt area at Bugis canal).
Understanding the mechanism of acupuncture in acute cerebral infraction through a proteomic analysis: protocol for a prospective randomized controlled trial

Background Acute cerebral infarction (ACI), being the predominant form of stroke, presents challenges in terms of the limited effectiveness of various treatments in improving the neurological function. Although acupuncture shows promise in addressing ACI, the availability of high-quality evidence regarding its efficacy, safety, and underlying mechanism remains insufficient. In this study, we design a multicenter, prospective, single-blind, randomized controlled trial with the aim of evaluating the efficacy and safety of acupuncture for ACI, making an attempt to unveil the molecular mechanisms by proteomic. Methods A total of 132 patients involving four hospitals will be randomized at a 1:1:1 ratio in the acupuncture group, control group, and sham acupuncture group. All the patients will receive basic treatment, and the patients in the acupuncture and sham acupuncture groups will also receive either acupuncture or sham acupuncture treatment, respectively, at six sessions each week for a 2 weeks period, followed by 3 months of follow-up. The primary outcome will be the change in the National Institute of Health Stroke Scale (NIHSS) scores after treatment. The secondary outcomes will include the Fugl-Meyer Assessment (FMA) scale scores and the Barthel Index (BI). Adverse events that occur during the trial will be documented. To discover differentially expressed proteins (DEPs) and their roles between the ACI subjects and healthy controls, we will also perform 4D-DIA quantitative proteomics analysis, and the DEPs will be confirmed by enzyme-linked immunosorbent assay (ELISA). This study was approved by the institutional review board of the First Teaching Hospital of Tianjin University of Traditional Chinese Medicine (TYLL2023043). Written informed consent from patients is required. This trial is registered in the Chinese Clinical Trial Registry (ChiCTR2300079204). Trial results will be published in a peer-reviewed academic journal. Discussion The results of this study will determine the preliminary efficacy and safety of acupuncture in ACI patients and whether the mechanism of this form of non-pharmacologic stimulation is mediated by a novel therapeutic target for neurorehabilitation through our proteomic analysis. Clinical trial registration https://www.chictr. org.cn, identifier ChiCTR2300079204.
The Mytilus chilensis Steamer-like Element-1 Retrotransposon Antisense mRNA Harbors an Internal Ribosome Entry Site That Is Modulated by hnRNPK

LTR-retrotransposons are transposable elements characterized by the presence of long terminal repeats (LTRs) directly flanking an internal coding region. They share genome organization and replication strategies with retroviruses. Steamer-like Element-1 (MchSLE-1) is an LTR-retrotransposon identified in the genome of the Chilean blue mussel Mytilus chilensis. MchSLE-1 is transcribed; however, whether its RNA is also translated and the mechanism underlying such translation remain to be elucidated. Here, we characterize the MchSLE-1 translation mechanism. We found that the MchSLE-1 5′ and 3′LTRs command transcription of sense and antisense RNAs, respectively. Using luciferase reporters commanded by the untranslated regions (UTRs) of MchSLE-1, we found that in vitro 5′UTR sense is unable to initiate translation, whereas the antisense 5′UTR initiates translation even when the eIF4E-eIF4G interaction was disrupted, suggesting the presence of an internal ribosomal entry site (IRES). The antisense 5′UTR IRES activity was tested using bicistronic reporters. The antisense 5′UTR has IRES activity only when the mRNA is transcribed in the nucleus, suggesting that nuclear RNA-binding proteins are required to modulate its activity. Indeed, heterogeneous nuclear ribonucleoprotein K (hnRNPK) was identified as an IRES trans-acting factor (ITAF) of the MchSLE-1 IRES. To our knowledge, this is the first report describing an IRES in an antisense mRNA derived from a mussel LTR-retrotransposon.
Aspectos geotécnicos fundamentales de las formaciones del delta del río Paraná y del estuario del río de la Plata

The second most important hydrographic area of South America drains through the delta of the Paraná River and the estuary of the Río de la Plata. The delta is located on a large depresion of a preholocene stratigraphy eroded and covered by modern sediments from the Holocene. The large amount of sediments transported by water, yield the formation of deltaic islands and wetlands which are actively modified with time. The geotechnical behavior of these sediments is of main interest in order to consider the requirements of the area close to important cities and industrial centers of a dynamic economical development. This work presents a study of the most important geologic and geotechnical aspects of soil formations from the delta of the Paraná River and the stuary of the Rio de la Plata. The paper includes a review of the main geological aspects including the bedrock and sediments of the river. A three dimensional distribution of the different soil formations is described by means of various soil profiles obtained from geotechnical boreholes performed for different projects in the region. Finally, the relevant geotechnical parameters for the formations ecountered are reviewed and discussed with emphasis on the upper modern sediments.
C-ERB B2 EXPRESSION IN COLORECTAL CARCINOMA; ITS RELATIONSHIP WITH TUMOR GRADE AND OTHER PROGNOSTIC FACTORS

Objective: The multidisciplinary management of colorectal carcinoma (CRC) is based on tumor stage, grade, and presence of vascular invasion. In this approach, information derived from the molecular characteristics of the tumor may be missed. There is a need to determine new prognostic parameters. Human epidermal growth factor 2 (c-erb B2) protein overexpression is implicated in the development of various tumor types, while the data on CRC is ambiguous. This study aimed at determining the frequency of c-erb B2 overexpression in CRC, checking it against prognostic parameters, as it has a special role in breast and gastric cancers. Material and Methods: A total of 71 colectomy specimens diagnosed as CRC at the Mustafa Kemal University Medical Faculty, Department of Pathology between January 2007, and December 2012, were included in this study. The c-erb B2 overexpression of tumor cells was detected by using immunohistochemistry (IHC). Results: Among the 71 CRC cases, 34 (47.9%) of them were c-erb B2 score 0, 22 (31%) of them were score 1, 10 (14.1%) of them were score 2, 5 (7%) of them were score 3. Conclusion: The overexpression of c-erb B2 protein was detected in 21.1% of CRC cases whereas no significant relationship with prognostic parameters was determined.
High-throughput UAV-based rice panicle detection and genetic mapping of heading-date-related traits

Rice (Oryza sativa) serves as a vital staple crop that feeds over half the world's population. Optimizing rice breeding for increasing grain yield is critical for global food security. Heading-date-related or Flowering-time-related traits, is a key factor determining yield potential. However, traditional manual phenotyping methods for these traits are time-consuming and labor-intensive.Here we show that aerial imagery from unmanned aerial vehicles (UAVs), when combined with deep learning-based panicle detection, enables high-throughput phenotyping of heading-date-related traits. We systematically evaluated various state-of-the-art object detectors on rice panicle counting and identified YOLOv8-X as the optimal detector.Applying YOLOv8-X to UAV time-series images of 294 rice recombinant inbred lines (RILs) allowed accurate quantification of six heading-date-related traits. Utilizing these phenotypes, we identified quantitative trait loci (QTL), including verified loci and novel loci, associated with heading date.Our optimized UAV phenotyping and computer vision pipeline may facilitate scalable molecular identification of heading-date-related genes and guide enhancements in rice yield and adaptation.
Historical Text Line Segmentation Using Deep Learning Algorithms: Mask-RCNN against U-Net Networks

Text line segmentation is a necessary preliminary step before most text transcription algorithms are applied. The leading deep learning networks used in this context (ARU-Net, dhSegment, and Doc-UFCN) are based on the U-Net architecture. They are efficient, but fall under the same concept, requiring a post-processing step to perform instance (e.g., text line) segmentation. In the present work, we test the advantages of Mask-RCNN, which is designed to perform instance segmentation directly. This work is the first to directly compare Mask-RCNN- and U-Net-based networks on text segmentation of historical documents, showing the superiority of the former over the latter. Three studies were conducted, one comparing these networks on different historical databases, another comparing Mask-RCNN with Doc-UFCN on a private historical database, and a third comparing the handwritten text recognition (HTR) performance of the tested networks. The results showed that Mask-RCNN outperformed ARU-Net, dhSegment, and Doc-UFCN using relevant line segmentation metrics, that performance evaluation should not focus on the raw masks generated by the networks, that a light mask processing is an efficient and simple solution to improve evaluation, and that Mask-RCNN leads to better HTR performance.
Adaptive Time–Frequency Segment Optimization for Motor Imagery Classification

Motor imagery (MI)-based brain–computer interface (BCI) has emerged as a crucial method for rehabilitating stroke patients. However, the variability in the time–frequency distribution of MI-electroencephalography (EEG) among individuals limits the generalizability of algorithms that rely on non-customized time–frequency segments. In this study, we propose a novel method for optimizing time–frequency segments of MI-EEG using the sparrow search algorithm (SSA). Additionally, we apply a correlation-based channel selection (CCS) method that considers the correlation coefficient of features between each pair of EEG channels. Subsequently, we utilize a regularized common spatial pattern method to extract effective features. Finally, a support vector machine is employed for signal classification. The results on three BCI datasets confirmed that our algorithm achieved better accuracy (99.11% vs. 94.00% for BCI Competition III Dataset IIIa, 87.70% vs. 81.10% for Chinese Academy of Medical Sciences dataset, and 87.94% vs. 81.97% for BCI Competition IV Dataset 1) compared to algorithms with non-customized time–frequency segments. Our proposed algorithm enables adaptive optimization of EEG time–frequency segments, which is crucial for the development of clinically effective motor rehabilitation.
Synergy of Positive Emotional Stimuli and Education Technologies in JobLab English Speaking Development for Graduates

This study delves into the effectiveness of integrating the PERMA model, emphasising the synergy of positive emotional stimuli and education technologies satisfying digital natives daily within JobLab's framework for FLA (Foreign Language Acquisition) development among graduate students. The research methodology combined qualitative and quantitative data. With a focus on nurturing holistic well-being and language proficiency, this research involves forty-six students divided into an experimental group (N=23) with an innovative approach and a control group (N=23) following traditional teaching methods. Pre/post-observations and student self-assessment questionnaires FLCAS (Foreign Language Classroom Anxiety Scale) were utilised to assess the impact of the intervention. Statistical analysis using established software revealed notable improvements in English-speaking proficiency among the experimental group, emphasising the significance of the PERMA model's integration in JobLab. Results indicated improved professional English language learning performance for the experimental group with the positive emotional stimuli and technology integration approach, highlighting the potential for cultivating proficient communicators among graduates.
Three‐Dimensional Resistivity Structure of Iwo‐Yama Volcano, Kirishima Volcanic Complex, Japan: Relationship to Shallow Seismicity, Surface Uplift, and a Small Phreatic Eruption

Iwo‐yama volcano, part of the Kirishima Volcanic Complex, has recently shown signs of unrest. We conducted a hypocenter relocation of shallow earthquakes and broadband magnetotelluric measurements around Iwo‐yama. Three‐dimensional inversion of magnetotelluric data revealed an electrically conductive layer that is interpreted as a hydrothermally altered clay‐dominated unit. Shallow earthquakes occur beneath this layer, suggesting that it controls the location of seismicity. The base of the layer corresponds to the depth of a pressure source identified by a leveling survey. These observations suggest that the supply of high‐temperature fluids has increased over time beneath Iwo‐yama, causing an increase in pore pressure beneath the clay‐rich layer and resulting in tectonic earthquakes and ground inflation. Increased upwelling of fluids through a fracture in the clay‐rich layer may have caused a vigorous liquid‐gas phase transition near the surface, which in turn might have led to the small phreatic eruption on 19 April 2018.
Network Pharmacology Analysis and Molecular Docking to Identify the Mechanism of Kuntai Capsules: Brief Research on Its Action in Premature Ovarian Insufficiency

Objective. This study aimed to explore the therapeutic targets and related pathways of Kuntai capsules (KTCs) for premature ovarian insufficiency (POI) using network pharmacology and molecular docking. Methods. The active components and their targets of KTCs were retrieved from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) website, and disease therapeutic targets of POI were downloaded from DisGeNET, GeneCards, and OMIM databases and combined with the disease differential genes of POI microarray dataset from the Gene Expression Omnibus (GEO) database. The intersecting genes of drug potential therapeutic targets and disease therapeutic targets were uploaded to the STRING database to form a protein-protein interaction network. Also, the possible pathway of KTCs in the treatment of POI was explored by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis; through the core therapeutic targets, the corresponding active ingredients of KTCs were found. Finally molecular docking was conducted to verify the accuracy of the drug action. Results. 120 potential therapeutic targets of KTCs for POI were found. The bioinformatics analysis revealed that KTCs may regulate the recruitment, growth, and development of follicles by controlling various pathways such as fluid shear stress, atherosclerosis, PI3K/AKT, and p53 signaling. They can inhibit granulosa cell atrophy and apoptosis, promote follicle maturation, regulate follicle sensitivity to follicle-stimulating hormone, and ultimately impact ovarian function. The core therapeutic targets were TP53, AKT1, and TNF, and the corresponding active ingredients were quercetin, kaempferol, and stigmasterol. The molecular docking results showed that all the root mean square deviations were less than 2. Conclusions. KTCs improve ovarian function probably by acting on regulating the recruitment of follicles, reducing the apoptosis of granulosa cells, promoting their growth and development, reducing oxidative stress damage, and improving the sensitivity of follicles to FSH.