Miracle-dz/UniFAR-FTUs huggingface dataset:
Spoken language processing activates the primary visual cortex

Primary visual cortex (V1) is generally thought of as a low-level sensory area that primarily processes basic visual features. Although there is evidence for multisensory effects on its activity, these are typically found for the processing of simple sounds and their properties, for example spatially or temporally-congruent simple sounds. However, in congenitally blind individuals, V1 is involved in language processing, with no evidence of major changes in anatomical connectivity that could explain this seemingly drastic functional change. This is at odds with current accounts of neural plasticity, which emphasize the role of connectivity and conserved function in determining a neural tissue’s role even after atypical early experiences. To reconcile what appears to be unprecedented functional reorganization with known accounts of plasticity limitations, we tested whether V1’s multisensory roles include responses to spoken language in sighted individuals. Using fMRI, we found that V1 in normally sighted individuals was indeed activated by comprehensible spoken sentences as compared to an incomprehensible reversed speech control condition, and more strongly so in the left compared to the right hemisphere. Activation in V1 for language was also significant and comparable for abstract and concrete words, suggesting it was not driven by visual imagery. Last, this activation did not stem from increased attention to the auditory onset of words, nor was it correlated with attentional arousal ratings, making general attention accounts an unlikely explanation. Together these findings suggest that V1 responds to spoken language even in sighted individuals, reflecting the binding of multisensory high-level signals, potentially to predict visual input. This capability might be the basis for the strong V1 language activation observed in people born blind, re-affirming the notion that plasticity is guided by pre-existing connectivity and abilities in the typically developed brain.
Evaluation the validity and reliability of the perceived medical school stress scale in Turkish medical students

Medical education can be a challenging and stressful process. Additional stressors can make the medical education process even more complex and impair a student’s attention and concentration. To the authors’ knowledge, there is no valid and reliable scale to measure medical school stress in Turkish medical students. Therefore, this study aimed to determine the validity and reliability of the Perceived Medical School Stress (PMSS) Scale in Turkish medical students. The Perceived Medical School Stress Scale is a self-assessment tool developed to measure medical school-induced stress in medical students. It consists of 13 items divided into two subdimensions. Scale items are answered using a four-point (0–4) Likert system The total score that can be obtained from the PMSS ranges from 0 to 52, with higher scores indicating higher levels of perceived stress. First, the scale was applied as a pilot to 52 students by performing the scale’s back-and-forth translation into Turkish. Then, the scale was applied to 612 volunteer medical students to ensure validity. Convergent validity and confirmatory factor analysis are used to assess the construct validity of a scale. Test-retest, item correlations, and Cronbach’s alpha coefficients are used to evaluate the reliability of a scale. As a result of confirmatory factor analysis, the two-factor structure of the original scale was confirmed. The fit indices of the model obtained showed excellent fit. The Generalized Anxiety Disorder-7 (GAD-7) Scale was used for convergent validity. The GAD-7 is a self-assessment tool that measures the level of generalized anxiety. It is answered with a four-point Likert scale for the last two weeks. The score that can be obtained from the scale is between 0–21. A score of ten or more indicates possible anxiety disorder. The students’ mean perceived medical school stress score was 39.80±8.09, and their GAD-7 score was 11.0±5.5. A significant positive relationship was found between the total scores of the scales (r = .48, P < .001). The Cronbach’s alpha value of the scale was . 81, and test-retest reliability was significant for all scale items (P < .001 for all). No item was deleted according to Cronbach’s alpha values and item-total correlations. There was no significant relationship between Turkish version of the PMSS and GAD-7 scores and age, sex, income status, tobacco use, or exercise (P>.05). The Turkish version of the Perceived Medical School Stress Scale is a valid and reliable scale that can be used to investigate the medical school-specific stress of students.
Histologic and Biochemical Effect of Balanite aegyptiaca Fruit Extract on Alloxan-Induced Diabetes in Wistar Rats

Background Diabetes mellitus is among the most prevalent and costly chronic diseases in the world. Unfortunately, immediate prospects for a cure are not available. We aimed to determine the in vivo antidiabetic activity, histologic, and biochemical effect of Balanites aegyptiaca fruit extract on alloxan-induced diabetes in Wistar rats. Methods Thirty-six Wistar rats were allotted into six groups (n=6). Group I was normal control. Group II was induced with diabetes but not treated.Groups III-V were induced with diabetes and treated with 100, 200, and 300 mg/kg extracts while Group VI was treated with Metformin once daily for 14 days. Animals were euthanized, and blood samples were collected for biochemical assays. The liver, kidney, pancreas, and testis were excised and processed by the paraffin wax method. Result Oral administration of BA extract significantly (P<0.05) reduced blood glucose, liver enzymes, and creatinine levels in diabetic animals. The extract also improved the body weights of diabetic animals and microscopic anatomy of the pancreas, testis, liver, and kidney parenchyma compared to the control. Conclusion Balanites aegyptiaca phytochemicals reduced blood glucose level and improved the histology of the liver, kidney, pancreas, and testis. Further study is recommended to identify the phytochemicals and mechanism of action.
Service reliability evaluation of highway tunnel based on digital image processing

China is gradually transitioning from the "tunnel construction exploration era" to the "tunnel high-quality construction and operation era", and the maintenance demand of highway tunnels has increased sharply. Therefore, there is an urgent need for an evaluation method to evaluate the service reliability of highway tunnels, so as to provide reference for tunnel maintenance personnel to carry out maintenance work. Taking highway tunnels as the research object, this paper extracts three parameters, including length, maximum width and fractal dimension, from the binary image of highway tunnel lining cracks. The standard for dividing the length of the highway tunnel section is 500m as the tunnel section, and a section disease sample space including multiple highway tunnels is constructed. The EM clustering algorithm was used to determine the number of graded grades of disease, and the relative Euclidean distance was used as the evaluation index to divide the safety grade of the tunnel into five grades: normal, degraded, inferior, deteriorated and hazardous. The partial least squares method is used to establish the lining service reliability evaluation formula and verify the residual of each sample point in the sample space. The smaller the average value of the residual, the better fitting effect of the established evaluation formula. The service reliability evaluation method proposed in this paper is applied to engineering practice and compared with the expert scoring method and the national standard method, which proves that the evaluation method in this paper has the advantages of strong visibility, simple evaluation method, and is conducive to engineering practice.
Quality of life of women with breast cancer undergoing radiotherapy using the Functional Assessment of Chronic Illness Therapy-Fatigue questionnaire

Objective: Breast cancer is one of the most common cancers in women, particularly among older women. This illness along with its treatment has a great impact on a woman’s subjective opinion of her quality of life and functioning in everyday life. The aim of this research was to assess the quality of life in women undergoing radiotherapy for the treatment of breast cancer. Patients and methods: The research was carried out in 120 patients with breast cancer undergoing radiotherapy in the Oncological Center in Bydgoszcz, Poland. Among the 120 examined patients, there were 30 women aged between 20–50 years and the remaining were over 50 years of age, including 42 women over the age of 60. Demographic and clinical data were collected and the Functional Assessment of Chronic Illness Therapy-Fatigue questionnaire (version 4) was used to assess health-related quality of life (HRQOL) of the patients. Statistical analyses were conducted using Statistica, version 10.0. Results: Patients with breast cancer undergoing radiotherapy rated their quality of life with an average of 113.83 points. Older patients above 71 years of age also displayed significantly higher HRQOL (122.70 points). A lower level of fatigue was noticed among patients  50 years and  71 years of age. Education and marital status also had an important impact on HRQOL. Educated women with a good financial situation had a significantly higher HRQOL, compared to those with a lower education and in poor living conditions. Conclusion: HRQOL and state of fatigue in breast cancer patients treated with radiotherapy depended upon their age. Both were high among women aged 71 years and above, while younger patients (51–70 years of age) had slightly lower values. Results suggest that sociodemographic factors influence the conditions of life of women treated with radiotherapy for breast cancer in a significant way. Overall, patients tolerated this type of
Robust deep learning-based gait event detection across various pathologies

The correct estimation of gait events is essential for the interpretation and calculation of 3D gait analysis (3DGA) data. Depending on the severity of the underlying pathology and the availability of force plates, gait events can be set either manually by trained clinicians or detected by automated event detection algorithms. The downside of manually estimated events is the tedious and time-intensive work which leads to subjective assessments. For automated event detection algorithms, the drawback is, that there is no standardized method available. Algorithms show varying robustness and accuracy on different pathologies and are often dependent on setup or pathology-specific thresholds. In this paper, we aim at closing this gap by introducing a novel deep learning-based gait event detection algorithm called IntellEvent, which shows to be accurate and robust across multiple pathologies. For this study, we utilized a retrospective clinical 3DGA dataset of 1211 patients with four different pathologies (malrotation deformities of the lower limbs, club foot, infantile cerebral palsy (ICP), and ICP with only drop foot characteristics) and 61 healthy controls. We propose a recurrent neural network architecture based on long-short term memory (LSTM) and trained it with 3D position and velocity information to predict initial contact (IC) and foot off (FO) events. We compared IntellEvent to a state-of-the-art heuristic approach and a machine learning method called DeepEvent. IntellEvent outperforms both methods and detects IC events on average within 5.4 ms and FO events within 11.3 ms with a detection rate of ≥ 99% and ≥ 95%, respectively. Our investigation on generalizability across laboratories suggests that models trained on data from a different laboratory need to be applied with care due to setup variations or differences in capturing frequencies.
Educational supervision

Evidence suggests that physicians have diffi culty in assessing their own abilities. Educational supervision is a formal process to address this problem and provides an overview of an individual trainee’s professional medical education and training. It encompasses a range of activities aimed at providing guidance and feedback to trainees from a more experienced trainer. It is underpinned by several key educational principles refl ected in the adult learning literature, including active listening, mentoring, creation of a supportive learning environment, constructive feedback, refl ective practice and developing insightful or self-aware practice in the trainee. Out in the workplace, there is evidence to suggest that the quality of educational supervision in the UK is very variable.1–5 To quality assure the process of supervision in the UK, the Postgraduate Medical Education and Training Board have stated that all supervisors need to be trained in specifi c educational supervision skills.6 Others have taken a stronger line in suggesting that not all consultants should be educational supervisors and that this role should be left to those with the qualifi cations, enthusiasm and time to do it.7 Whether you are just starting out as a paediatric trainee or are an extremely experienced trainer, it is hoped that this paper will allow you to refl ect on some key principles and focus on important practical issues in educational supervision. Alongside review of the best available evidence, many of the ideas suggested were generated from discussions during 24 small group workshops involving >90 paediatric consultants and specialist registrars with particular experience and interest in medical education.8
Consistent control information driven musculoskeletal model for multiday myoelectric control

Objective. Musculoskeletal model (MM)-based myoelectric interface has aroused great interest in human-machine interaction. However, the performance of electromyography (EMG)-driven MM in long-term use would be degraded owing to the inherent non-stationary characteristics of EMG signals. Here, to improve the estimation performance without retraining, we proposed a consistent muscle excitation extraction approach based on an improved non-negative matrix factorization (NMF) algorithm for MM when applied to simultaneous hand and wrist movement prediction. Approach. We added constraints and L 2-norm regularization terms to the objective function of classic NMF regarding muscle weighting matrix and time-varying profiles, through which stable muscle synergies across days were identified. The resultant profiles of these synergies were then used to drive the MM. Both offline and online experiments were conducted to evaluate the performance of the proposed method in inter-day scenarios. Main results. The results demonstrated significantly better and more robust performance over several competitive methods in inter-day experiments, including machine learning methods, EMG envelope-driven MM, and classic NMF-based MM. Furthermore, the analysis of control information on different days revealed the effectiveness of the proposed method in obtaining consistent muscle excitations. Significance. The outcomes potentially provide a novel and promising pathway for the robust and zero-retraining control of myoelectric interfaces.
A new type of stable borophene with flat-band-induced magnetism

Based on first-principles calculations, we propose a new type of thermally and dynamically stable magnetic borophene (B11) with a tetragonal lattice. The magnetism is found coming from spin polarization of one bonding flat band located at the Fermi level. Despite of the ‘anti-molecular’ behavior in the monolayer, the interactions between the p z orbitals of the B atoms in the double-octahedron structural unit lead to the formation of the flat bands with localization behaviors. One tight binding model is built to comprehend the magnetic mechanism, which can guide us to tune other nonmagnetic borophene becoming magnetic. Biaxial tensile strain (>2.1%) is found triggering a phase transition from a semimetal to a semiconductor in the B11 monolayer. The mechanism is analyzed based on the orbital-resolved crystal field effect. Our work provides a new route for designing and achieving two-dimensional magnetic materials with light elements.
Directed evolution rice genes with randomly multiplexed sgRNAs assembly of base editors

Summary CRISPR‐based directed evolution is an effective breeding biotechnology to improve agronomic traits in plants. However, its gene diversification is still limited using individual single guide RNA. We described here a multiplexed orthogonal base editor (MoBE), and a randomly multiplexed sgRNAs assembly strategy to maximize gene diversification. MoBE could induce efficiently orthogonal ABE (<36.6%), CBE (<36.0%), and A&CBE (<37.6%) on different targets, while the sgRNA assembling strategy randomized base editing events on various targets. With respective 130 and 84 targets from each strand of the 34th exon of rice acetyl‐coenzyme A carboxylase (OsACC), we observed the target‐scaffold combination types up to 27 294 in randomly dual and randomly triple sgRNA libraries. We further performed directed evolution of OsACC using MoBE and randomly dual sgRNA libraries in rice, and obtained single or linked mutations of stronger herbicide resistance. These strategies are useful for in situ directed evolution of functional genes and may accelerate trait improvement in rice.
A chemodynamic nanoenzyme with highly efficient Fenton reaction for cancer therapy

Chemodynamic therapy (CDT) is a rising technology for cancer therapy by converting intracellular hydrogen peroxide (H2O2) into hydroxyl radical (•OH) via transition-metal-containing nanoparticles (NPs) catalysis reaction (i.e. Fenton reaction) to kill tumor cells. Highly efficient Fenton reaction and favorable delivery of the catalytic NPs ‘nanoenzyme’ are the key for successful treatment of cancer. In this work, we developed a novel nanoenzyme MnFe2O4@GFP for in vitro and in vivo antitumor therapy. A new MnFe2O4 nanoparticle containing two transition-metal-element Fe and Mn was synthesized for enhanced Fenton reaction and used to co-deliver protein with high biocompatibility through post-modification with dopamine polymerization, green fluorescent protein adsorption, and PEG coating. The enrichment of H2O2 and glutathione (GSH) in tumor tissue provided a favorable microenvironment for in situ generation of toxic free radicals. Fe3+ and GSH triggered a redox reaction to produce Fe2+, which in turn catalyzed H2O2 into •OH, with the consumption of antioxidant GSH. By combining Fe3+ with another catalyzer, the catalytic efficiency of the nanoenzyme were greatly improved. Consequently, the nanoenzyme showed efficient antitumor ability both in vitro and in vivo. Thus, the multifunctional CDT nanoenzyme platform shows great promising for antitumor therapy through the combination of catalyzers Fe3+ and Mn2+ and codelivery of protein cargo.
Transformed cells maintain survival by downregulating autophagy at a high cell confluency

Autophagy plays a dual role in tumorigenesis by functioning as both a tumor suppressor and promoter, depending on the stage of tumorigenesis. However, it is still unclear at what stage the role of autophagy changes during tumorigenesis. Herein, we investigated the differences in the basal levels and roles of autophagy in five cell lines at different stages of cell transformation. We found that cell lines at higher transformation stages were more sensitive to the autophagy inhibitors, suggesting that autophagy plays a more important role as the transformation progresses. Our ptfLC3 imaging analysis to measure Atg5/LC3‐dependent autophagy showed increased autophagic flux in transformed cells compared to untransformed cells. However, the Cyto‐ID analysis, which measures Atg5‐dependent and ‐independent autophagic flux, showed high levels of autophagosome formation not only in the transformed cells but also in the initiated cell and Atg5 KO cell line. These results indicate that Atg5‐independent autophagy may be more critical in initiated and transformed cell lines than in untransformed cells. Specially, we observed that transformed cells maintained relatively high basal autophagy levels under rapidly proliferating conditions but exhibited much lower basal autophagy levels at high confluency; however, autophagic flux was not significantly reduced in untransformed cells, even at high confluency. In addition, when continuously cultured for 3 weeks without passage, senescent cells were significantly less sensitive to autophagy inhibition than their actively proliferating counterparts. These results imply that once a cell has switched from a proliferative state to a senescent state, the inhibition of autophagy has only a minimal effect. Taken together, our results suggest that autophagy can be differentially regulated in cells at different stages of tumorigenesis under stressful conditions.
Determinants of protected area boundary crossings by savannah elephants, Loxodonta africana

When elephants leave primary protected areas (PPAs), such as national parks and game reserves, they may come into conflict with people residing on the adjoining land. In this study, I attempted to determine why African savannah elephants leave the PPAs in which they were collared. To accomplish this, I used telemetry locations of collared elephants in PPAs throughout southern Africa and investigated whether a range of intrinsic and extrinsic variables could explain why elephants crossed the boundaries of the PPAs. Adjoining many of the PPAs were secondary protected areas (SPAs), which consisted of community conservancies, and collectively with the PPAs formed clusters of protected areas. Most (45 of 49) elephants roamed beyond the PPAs but they remained within the clusters of protected areas. The elephants utilised both the PPAs and the SPAs and appeared to not feel threatened when using the SPAs. The reasons for elephants leaving PPAs varied both seasonally and between the sexes. The females roamed beyond the PPAs more during the wet season than
Stanniocalcin‐2 inhibits skeletal muscle growth and is upregulated in functional overload‐induced hypertrophy

Stanniocalcin‐2 (STC2) has recently been implicated in human muscle mass variability by genetic analysis. Biochemically, STC2 inhibits the proteolytic activity of the metalloproteinase PAPP‐A, which promotes muscle growth by upregulating the insulin‐like growth factor (IGF) axis. The aim was to examine if STC2 affects skeletal muscle mass and to assess how the IGF axis mediates muscle hypertrophy induced by functional overload.