Miracle-dz/UniFAR-FTUs huggingface dataset:
Relevance of Tumor Budding and Pattern of Invasion in Oral Squamous Cell Carcinoma

Background: Standard histopathological parameters such as depth of invasion (DOI), lymphovascular invasion (LVI), and perineural invasion (PNI) are known parameters that can correlate with the prognosis and aggressiveness of oral squamous cell carcinomas (OSCCs). Tumor budding (TB) (≤5 tumor cells at infiltrating borders) and pattern of invasion (POI) are emerging histopathological parameters that have shown promising results as reliable risk factors in predicting nodal metastasis in early OSCCs. Aim: The aim of the study was to assess TB and POI in OSCCs. Materials and Methods: A total of 33 surgical resection specimens of OSCC, including buccal mucosa and tongue with neck dissection, were selected. TB and POI along with standard parameters such as grade, DOI, LVI, PNI, lymph node status, and pathological staging were evaluated. These parameters were analyzed in comparison with lymph node involvement and pathological stage of the tumor using the Chi-square and Fischer’s exact test. The SPSS software, v21, was used for statistical analyses. Results: Most of OSCC were moderately differentiated tumors (63.64%). TB was present in 23 cases, in which 69.57% of cases showed low TB (<5 buds), while 30.43% of cases had higher TB (>5 buds). The worst POI (Patterns 4 and 5) was seen in 75.76% of cases. TB, POI, grade, PNI, DOI, and stromal pattern were significantly associated with the pathological stage of the tumor. Conclusion: TB and POI are important and reliable in histopathological parameters in OSCCs.
Review of Reinforcement Learning for Robotic Grasping: Analysis and Recommendations

This review paper provides a comprehensive analysis of over 100 research papers focused on the challenges of robotic grasping and the effectiveness of various machine learning techniques, particularly those utilizing Deep Neural Networks (DNNs) and Reinforcement Learning (RL). The objective of this review is to simplify the research process for others by gathering different forms of Deep Reinforcement Learning (DRL) grasping tasks in one place. Through a thorough analysis of the literature, the study emphasizes the critical nature of grasping for robots and how DRL techniques, particularly the Soft-Actor-Critic (SAC) strategy, have demonstrated high efficiency in handling the task. The results of this study hold significant implications for the development of more advanced and efficient grasping systems for robots. Continued research in this area is crucial to further enhance the capabilities of robots in handling complex and challenging tasks, such as grasping.
Comparative transcriptomic analysis reveals the molecular mechanism underlying seedling heterosis and its relationship with hybrid contemporary seeds DNA methylation in soybean

Heterosis is widely used in crop production, but phenotypic dominance and its underlying causes in soybeans, a significant grain and oil crop, remain a crucial yet unexplored issue. Here, the phenotypes and transcriptome profiles of three inbred lines and their resulting F1 seedlings were analyzed. The results suggest that F1 seedlings with superior heterosis in leaf size and biomass exhibited a more extensive recompilation in their transcriptional network and activated a greater number of genes compared to the parental lines. Furthermore, the transcriptional reprogramming observed in the four hybrid combinations was primarily non-additive, with dominant effects being more prevalent. Enrichment analysis of sets of differentially expressed genes, coupled with a weighted gene co-expression network analysis, has shown that the emergence of heterosis in seedlings can be attributed to genes related to circadian rhythms, photosynthesis, and starch synthesis. In addition, we combined DNA methylation data from previous immature seeds and observed similar recompilation patterns between DNA methylation and gene expression. We also found significant correlations between methylation levels of gene region and gene expression levels, as well as the discovery of 12 hub genes that shared or conflicted with their remodeling patterns. This suggests that DNA methylation in contemporary hybrid seeds have an impact on both the F1 seedling phenotype and gene expression to some extent. In conclusion, our study provides valuable insights into the molecular mechanisms of heterosis in soybean seedlings and its practical implications for selecting superior soybean varieties.
Comparative effects of incretin-based therapy on doxorubicin-induced nephrotoxicity in rats: the role of SIRT1/Nrf2/NF-κB/TNF-α signaling pathways

Introduction: Nephrotoxicity represents a major complication of using doxorubicin (DOX) in the management of several types of cancers. Increased oxidative stress and the activation of inflammatory mediators play outstanding roles in the development of DOX-induced kidney damage. This study aimed to investigate whether the two pathways of incretin-based therapy, glucagon-like peptide-1 receptor agonist (presented as semaglutide, SEM) and dipeptidyl peptidase-4 inhibitor (presented as alogliptin, ALO), differentially protect against DOX-induced nephrotoxicity in rats and to clarify the underlying molecular mechanisms. Methods: Adult male rats were divided into six groups: control (received the vehicle), DOX (20 mg/kg, single I.P. on day 8), DOX + ALO (20 mg/kg/day, P.O. for 10 days), DOX + SEM (12 μg/kg/day, S.C. for 10 days), ALO-alone, and SEM-alone groups. At the end of the study, the animals were sacrificed and their kidney functions, oxidative stress, and inflammatory markers were assessed. Kidney sections were also subjected to histopathological examinations. Results: The co-treatment with either ALO or SEM manifested an improvement in the kidney functions, as evidenced by lower serum concentrations of creatinine, urea, and cystatin C compared to the DOX group. Lower levels of MDA, higher levels of GSH, and increased SOD activity were observed in either ALO- or SEM-treated groups than those observed in the DOX group. DOX administration resulted in decreased renal expressions of sirtuin 1 (SIRT1) and Nrf2 with increased NF-κB and TNF-α expressions, and these effects were ameliorated by treatment with either ALO or SEM. Discussion: Co-treatment with either ALO or SEM showed a renoprotective effect that was mediated by their antioxidant and anti-inflammatory effects via the SIRT1/Nrf2/NF-κB/TNF-α pathway. The fact that both pathways of the incretin-based therapy demonstrate an equally positive effect in alleviating DOX-induced renal damage is equally noteworthy.
Phytochemical study of Eichhornia crassipes in Sri Ganganagar District of Rajasthan, India

To study the biochemical profile of Eichhornia crassipes (water hyacinth) in three different site of Sri Ganganagar District on four parameters, carbohydrate, protein, fiber and chlorophyll The data analysed statistically showed that three different site for crude protein were significantly different at 0.005 level of significance, highest crude protein is reported in Site-C and lowest in site-A but there were no significant difference in Carbohydrate, crude fiber and total chlorophyll.
The Role of Mindfulness and Assertiveness on Housewives’ Marital Satisfaction

Housewives are frequently burdened with numerous roles and responsibilities, occasionally contending with domestic conflicts that impact their level of marital satisfaction. The purpose of this study was to find out the role of mindfulness and assertiveness in the marital satisfaction of housewives who do not have a job. This research was a quantitative survey research on 262 unemployed housewives. Participants were selected using purposive sampling. Three scales were used to collect data the Marital Satisfaction Scale, the Mindfulness Scale, and the Assertiveness Scale. Data for hypothesis testing were analyzed using multiple regression. The results revealed that mindfulness and assertiveness have a positive and significant role in affecting housewives’ marital satisfaction at 29.4 percent. The implication of this study is that improving mindfulness and assertiveness among housewives, particularly those who prioritize household responsibilities and do not work, can positively influence marital satisfaction.
Review article Radiation dosimetry using polymer gels: methods and applications

New, complex radiotherapy delivery techniques require dosimeters that are able to measure complex three-dimensional dose distributions accurately and with good spatial resolution. Polymer gel is an emerging new dosimeter being applied to these challenges. The aim of this review is to present a practical overview of polymer gel dosimetry, including gel manufacture, imaging, calibration and application to radiotherapy verification. The dosimeters consist of a gel matrix within which is suspended a solution of acrylic molecules. These molecules polymerize upon exposure to radiation, with the degree of polymerization being proportional to absorbed dose. The polymer distribution can be measured in two or three dimensions using MRI or optical tomography and, after calibration, the images can be converted into radiation dose distributions. Manufacture of the gel is reported to be reproducible, and measured dose in the range 0-10 Gy is accurate to within 3-5%. In-plane image resolution of 1 mm61 mm, with image slice thicknesses of between 2-5 mm, is typically achievable using clinical 1.5 T MR scanners and standard T2 weighted imaging sequences. The gels have been used to verify a number of conventional and novel radiotherapy modalities, including brachytherapy, intensity modulated radiotherapy and stereotactic radiosurgery. All the studies have confirmed the value and versatility of the dosimetry technique.
A Comparative Analysis of Forced Migrants’ Rights Abroad and in Ukraine and Control Over Their Observance Under Conditions of Martial Law

The scientific work aims to determine which rights are provided for forcibly resettled persons in Ukraine and other European countries, identifying common and distinctive features. This study uses various research methods to assess the situation of internally displaced persons in Ukraine, including their legal status, regional distribution, and rights under special conditions. It also investigates Ukrainian forced migrants’ main destinations, living conditions, rights to education and employment, and Ukrainian and host countries’ social policies on financial aid and housing.
RGBT Image Fusion Tracking via Sparse Trifurcate Transformer Aggregation Network

Recently have testified the superior tracking ability of Transformer in RGBT tracking for its global and dynamic modeling property. However, these Transformer-based trackers lack attention to the primary feature information and are susceptible to interference from background information. In addition, they often either focus on shared modality information or specific modality information but fail to adequately explore the potential of these two patterns together. To address these issues, a sparse trifurcate Transformer aggregation network is proposed in this article for enhancing tracking robustness. First, a trifurcate tree structure is designed to obtain both modality-shared and modality-specific information, which can learn more powerful feature representations. Second, a sparse attention mechanism is adopted in Transformer to focus on the important features. To fully mine the complementary multimodal information, a confidence-aware aggregation network is designed to generate reliability weights of each mode. Finally, a double-head network is introduced to locate target. Sufficient experimental results on multiple RGBT benchmarks, including GTOT, RGBT210, RGBT234, and LasHeR, verify superior tracking ability against other advanced trackers.
Pan-Cancer Analysis of PGAM1 and Its Experimental Validation in Uveal Melanoma Progression

Phosphoglycerate mutase 1 (PGAM1) is a key enzyme regulating cancer glycolysis. However, the expression and function of PGAM1 in uveal melanoma (UVM) are unknown and systematic analysis is lacking. This study performed a comprehensive analysis of PGAM1 expression across 33 cancer types in multiple public databases. Results demonstrated PGAM1 is aberrantly overexpressed in most tumors compared to normal tissues, and this overexpression is associated with poor prognosis, advanced tumor staging, and aggressive clinical phenotypes in multiple cancers including UVM, lung, breast and bladder carcinomas. In addition, PGAM1 expression positively correlated with infiltration levels of tumor-promoting immune cells including macrophages, NK cells, myeloid dendritic cells, etc. Further experiments showed that PGAM1 was overexpressed in UVM cell lines and tissues, and it was positively associated with a poor prognosis of UVM patients. And knockdown of PGAM1 inhibited migration/invasion and induced apoptosis in UVM cells, followed by decreased levels of PD-L1, Snail, and BCl-2 and increased levels of E-cadherin. Additionally, the correlation analysis and molecular docking results suggest that PGAM1 could interact with PD-L1, Snail and BCl-2. Thus, PGAM1 may promote UVM pathogenesis via modulating immune checkpoint signaling, EMT and apoptosis. Collectively, this study reveals PGAM1 as a valuable prognostic biomarker and potential therapeutic target in aggressive cancers including UVM.
Combining transcranial magnetic stimulation with training to improve social cognition impairment in schizophrenia: a pilot randomized controlled trial

Schizophrenia is a severe, chronic mental disorder that profoundly impacts patients’ everyday lives. The illness’s core features include positive and negative symptoms and cognitive impairments. In particular, deficits in the social cognition domain showed a tighter connection to patients’ everyday functioning than the other symptoms. Social remediation interventions have been developed, providing heterogeneous results considering the possibility of generalizing the acquired improvements in patients’ daily activities. In this pilot randomized controlled trial, we investigated the feasibility of combining fifteen daily cognitive and social training sessions with non-invasive brain stimulation to boost the effectiveness of the two interventions. We delivered intermittent theta burst stimulation (iTBS) over the left dorsolateral prefrontal cortex (DLPFC). Twenty-one patients were randomized into four groups, varying for the assigned stimulation condition (real vs. sham iTBS) and the type of cognitive intervention (training vs. no training). Clinical symptoms and social cognition tests were administered at five time points, i.e., before and after the treatment, and at three follow-ups at one, three, and six months after the treatments’ end. Preliminary data show a trend in improving the competence in managing emotion in participants performing the training. Conversely, no differences were found in pre and post-treatment scores for emotion recognition, theory of mind, and attribution of intentions scores. The iTBS intervention did not induce additional effects on individuals’ performance. The methodological approach’s novelty and limitations of the present study are discussed.
Effects of Simulated Gamification on Empathy in Middle School Students: A Mixed Methods Analysis

: Background : Current understanding of effective interventions for teaching empathy is limited. Therefore, this study investigates the use of a simulation game as an instructional tool for developing empathy in middle school students. Using a mixed-methods design, this study examines the influence of a simulation game on the development of empathy. Materials and Methods : Using a mixed-methods design, this study examines the influence of a simulation game on the development of empathy. In addition, the study examines students’ perceptions of the simulated game through sentiment analysis using data mining techniques (Orange, Version 3.36.2; Demsar et al., 2013). Twenty-one students and their teacher from South Korea participated in an 8-week intervention. The game presented students with scenarios that required them to make life decisions in the face of adversity, and prompted them to reflect on their choices. Participants completed a 36-item questionnaire derived from Vachon and Lynam’s (2016) Affective and Cognitive Measure of Empathy, and answered open-ended questions. Results : Results indicated a significant increase in students’ self-reported cognitive empathy, but not affective resonance and affective dissonance. Qualitative findings shed further light on students’ sentiments toward different circumstances, in addition to their overwhelmingly positive feelings toward the simulated game. Conclusion: This study concludes that simulated gamification as a teaching tool can enhance cognitive empathy in middle school students, highlighting the potential of serious games in empathy education.
An Algorithm Based on Non-Negative Matrix Factorization for Detecting Communities in Networks

Community structure is a significant characteristic of complex networks, and community detection has valuable applications in network structure analysis. Non-negative matrix factorization (NMF) is a key set of algorithms used to solve the community detection issue. Nevertheless, the localization of feature vectors in the adjacency matrix, which represents the characteristics of complex network structures, frequently leads to the failure of NMF-based approaches when the data matrix has a low density. This paper presents a novel algorithm for detecting sparse network communities using non-negative matrix factorization (NMF). The algorithm utilizes local feature vectors to represent the original network topological features and learns regularization matrices. The resulting feature matrices effectively reveal the global structure of the data matrix, demonstrating enhanced feature expression capabilities. The regularized data matrix resolves the issue of localized feature vectors caused by sparsity or noise, in contrast to the adjacency matrix. The approach has superior accuracy in detecting community structures compared to standard NMF-based community detection algorithms, as evidenced by experimental findings on both simulated and real-world networks.
Anatomic and physiological responses of Panicum aquaticum related to cadmium tolerance

This study evaluated anatomic and physiological modifications in Panicum aquaticum plants related to cadmium (Cd) tolerance. The plants were cultivated in a nutritive solution, with addition of increasing concentration of Cd. The following parameters were analyzed: absorption, translocation, concentration and Cd accumulation, growth, gas exchanges, activity of the antioxidant system, and anatomy of roots and leaves. Absorption and Cd concentration increased throughout the treatments, while accumulation and Cd translocation did not vary, due to maintenance of the biomass. Gas exchanges were not affected by Cd. Specific foliar area increased in the presence of the metal, and might be related to the reduction in leaf blade thickness and chlorophyllic parenchyma. Modifications in stomatal characteristics did not negatively affect gas exchanges. An increase in the exodermis and endodermis thickness restricted Cd translocation to the aerial part, avoiding damages to the photosynthetic system. Activity of the ascorbate peroxidase and catalase in the root contributed to a reduction in the metal toxicity. P. aquaticum presented an efficient capacity for Cd absorption, but restricted translocation. Cd accumulation was higher in the roots. Anatomic and physiological responses show a tolerance of the species to Cd in the evaluated concentrations.
Height-correlation analysis of data from an S-band zenith-pointing radar in Singapore

Information on height correlation of radar reflectivity (and rain rate) is useful for retrieving rain rates from satellite radar measurements. Due to surface back scatter “leakage” into range gates close to the surface (range-time sidelobes), the retrieval algorithms need to extrapolate from aloft (around 2 km height) to surface level, or what is termed as “near surface rain rate”. At present, the development of GPM retrieval algorithms for dual-wavelength radars is on-going, and in some cases, the algorithms require a priori constraints on the vertical covariances which need to be embedded in the algorithms in order to remove some of the unrealistic ambiguities that are present in the radar measurements (Tanelli, private communication).
Influence of Torsional Stiffness in Badminton Footwear on Lower Limb Biomechanics.

Torsional stiffness of athletic footwear plays a crucial role in preventing injury and improving sports performance. Yet, there is a lack of research focused on the biomechanical effect of torsional stiffness in badminton shoes. This study aimed to comprehensively investigate the influence of three different levels of torsional stiffness in badminton shoes on biomechanical characteristics, sports performance, and injury risk in badminton players. Fifteen male players, aged 22.8 ± 1.96 years, participated in the study, performing badminton-specific tasks, including forehand clear stroke [left foot (FCL) and right foot (FCR)], 45-degree sidestep cutting (45C), and consecutive vertical jumps (CVJ). The tasks were conducted wearing badminton shoes of torsional stiffness measured with Shore D hardness 50, 60, and 70 (referred to as 50D, 60D, and 70D, respectively). The primary biomechanical parameters included ankle, knee, and MTP joint kinematics, ankle and knee joint moments, peak ground reaction forces, joint range of motion (ROM), and stance time. A one-way repeated measures ANOVA was employed for normally distributed data and Friedman tests for non-normally distributed data. The 70D shoe exhibited the highest ankle dorsiflexion and lowest ankle inversion peak angles during 45C task. The 60D shoe showed significantly lower knee abduction angle and coronal motions compared to the 50D and 70D shoes. Increased torsional stiffness reduced stance time in the FCR task. No significant differences were observed in anterior-posterior and medial-lateral ground reaction forces (GRF). However, the 70D shoe demonstrated higher vertical GRF than the 50D shoe while performing the FCR task, particularly during 70% - 75% of stance. Findings from this study revealed the significant role of torsional stiffness in reducing injury risk and optimizing performance during badminton tasks, indicating that shoes with an intermediate level of stiffness (60D) could provide a beneficial balance between flexibility and stability. These findings may provide practical references in guiding future badminton shoe research and development. Further research is necessary to explore the long-term effects of altering stiffness, considering factors such as athletic levels and foot morphology, to understand of the influence of torsional stiffness on motion biomechanics and injury prevalence in badminton-specific tasks.