Miracle-dz/UniFAR-FTUs huggingface dataset:
Arthroscopic Fixation of Tibial Intercondylar Eminence Fracture by Fiber Wire Suture and U Screws in Adolescent Athletes

Objective: We aimed to present our experience on arthroscopic management of tibial intercondylar eminence fracture in adolescent athletes. Methods: This was a case series of 9 adolescents (7 males, 2 females) aged 10-16 years diagnosed with tibial intercondylar eminence fracture following a sports activity. According to Meyers and McKeever classification, 4 patients had Type IIIA, 3 had Type IIIB, and 2 patients had Type II fracture. Following percutaneous arthroscopic reduction, the fragments of the fracture were fixed internally and anterior cruciate ligament was reconstructed through two 2.4 mm parallel tunnels at the level of anterior tibia by using fiber wire suture and U screws. Anterior tibial displacement was measured by KT-1000 knee arthrometer, and Lysholm Knee Scoring Scale was used for the patient-reported outcomes. Results: The duration of operation was 31.6±8.9 min. The patients were followed up for 37.1±19.1 months. Theanterior tibial displacement relative to the femur was 1.4±0.7 mm. TheLysholm score was 95.8±3.1. None of the patients developed infection. The complete fracture healing was obtained in all patients. Conclusion: Arthroscopic reduction and internal fixation by fiber wire suture and U screws provide perfect anatomic and functional outcome for displaced Type II and Type III tibial intercondylar eminence fracture in adolescent athletes.
FPGA-Based Debugging with Dynamic SignalSelection at Run-Time

—For the development of FPGA-based automotive systems, debugging of internal signals is necessary to detect errors or to analyze/visualize the operation of the ﬁeld programmable gate array (FPGA) at runtime. Often, so called ”debug cores” of the FPGA vendor are used for debugging. Xilinx Vivado is a development environment offering an integrated logic analyzer for statically selected signals. However, each time these input signals shall be changed, the whole workﬂow (synthesis, placement, routing and generation of the bit stream) must be repeated, which is very time consuming. The scope of the present work is to develop a custom and more ﬂexible FPGA-based logic debugger: The Advanced Inverter Debugger (AID) is a logic component, integrated into the system under development, that can dynamically select signals for the debugging process at run-time. The debugging process is controlled by a user interface at a workstation, communicating via UDP/IP over Ethernet. The AID is conﬁgurable with regard to start/stop triggers and sample rate for each signal, and allows long-term recording as well as visualization at the workstation. For convenient use in the development of automotive control systems, the AID is available as Matlab component for integration into and synthesis with the target system.
DETECTION OF BREAST CANCER IN MAMMOGRAPHY IMAGES USING THE NOVEL TECHNIQUE OF GENETIC ALGORITHM AND DECISION TREE

: Now day’s breast cancer is prevailing in women. It can be spread to other areas as it started from the breast and it is second largest disease that causes death of women. It is curable if it is detected at the early stages but lack of proper methodology is still a challenge. In this paper we proposed an approach to detect breast cancer at early stages that is based on genetic algorithm and decision tree. The genetic approach is an iterative technique that gives results faster and decision tree is utilized for classification. The multi support vector machine is also utilized in order to extract the feature and match it against the trained image. The parameters which are utilized in proposed work includes classification accuracy, precision, F-score, recall. The simulation results show better performance as compare to existing system.
Clinical and Radiographic Evaluation of MTA (Mineral Trioxide Aggregate) As Furcal Perforation Repairing Material in Primary Teeth: Uncontrolled Clinical Trial

Purpose: Uncontrolled clinical trial aims to evaluate clinical and radiographic healing after repairing mechanical furcal perforations that occurring during pulpotomy in primary molars by using MTA (Mineral Trioxide Aggregate). Materials and Methods: 34 primary molars in 32 healthy children aged 5-10 years old were treated after occurring of mechanical furcal perforations during pulpotomy by using MTA. Mediate and immediate treatment had been performed after clinical and/or radiographic diagnosis of the perforation, and then teeth had been followed clinically at 1 st week 3 rd , 6 th , 9 th , and 12 th month and radiographically at 6 th and 12 th month after perforation repair. Statistical analyses were done at p-value = 0.05 and confidence interval CI 95%. Results: All teeth were successful at the first week. Overall success rate recorded 79.3%, and CI of success was 65% to 93%, 5 teeth had been extracted because of totally failure. There was no significant statistically difference between totally success rates according to gender, tooth position, tooth type, previous sub-base of ZOE, pre-used of Formocresol (p-value > 0.05). Conclusions: Iatrogenic furcal perforated primary molars can be treated by using MTA successfully. Mediate treatment and pre used of FC may have unfavorable prognosis of repairing perforations.
RECORDS OF PHARMACEUTICAL AND BIOMEDICAL SCIENCES In-silico Screening of Selected Apiaceae Plants as Melanogenesis Inhibitors and their Predicted Skin Permeability

Tyrosinase-related protein 1 (TYRP1) is a member of tyrosinase enzyme family which is metal-containing glycoproteins localized in melanosomes where the melanin biosynthesis occurs. The downregulation of tyrosinase is the most protruding approach for the development of skin whitening and depigmentation agents, however, TYRP1 downregulation is considered a novel target for melanogenesis inhibition and is still under clinical investigations for treatment of malignant melanoma. In the present study, virtual screening using glide extra-precision docking of an in-house generated data base of 400 natural compounds belonging to family Apiaceae for TYRP1 inhibitors was performed for the first time. luteolin-7-apiosylglucoside from celery followed by 4-(β-D-glucopyranosyloxy)benzoic acid then caffeoylquininc acid from anise showed highly potent melanogenesis inhibition even more than the synthetic standard inhibitors such as azelaic and kojic acids. These natural inhibitors exhibited good predicted skin permeability after processing with Qikprop module. Although they had slow predicted transdermal penetration rates, but these rates can be enhanced through optimizing their topical pharmaceutical formulations.
Model Of Formation Of Future Teachers' Readiness To Work In Inclusive Education

The task of the authors of the article is to develop a theoretical, methodological, resource support for the process of forming the readiness of future teachers to work in an inclusive education; in improving and testing tools for monitoring the readiness of teachers to work in mixed classes; in the study and analysis of the state of the investigated problem; processing data obtained during the experimental work; preparation of publications based on the results of the study. The authors of the article paid special attention to the disclosure of such provisions: 1. The willingness of future teachers to work in an inclusive education environment is a stable personality trait that is an essential prerequisite for teaching children with disabilities and characterized by a focus on implementing the principles of inclusion in professional activities. 2. The structure of inclusive readiness includes key substantive components: inclusive ethics (a set of moral and ethical values and norms of an inclusive community, based on a set of personal qualities of a teacher important for working with “special” children); inclusive theory (knowledge needed to organize inclusive education for children); inclusive practice (pedagogical skills relevant to the implementation of an inclusive educational process). 3. The main criteria for the readiness of future teachers of inclusive education include: value-motivational (the adoption of the values of inclusion and the orientation of the teacher to implement the principles of "inclusion" in his pedagogical activity); personal (a set of personal qualities important for working in an inclusive environment); cognitive (the presence of clear, systemic knowledge about the basics of inclusive education); activity (practical skills based on theoretical knowledge that contribute to solving the problems of inclusive education). The reliability of the research results is provided by the validity of the methodology, its relevance to the problem posed, the use of a set of standard research methods, statistical verification of the significance of the results, and the possibility of repeating the study.
Computational Star-Tracking Compensation in Astrophotography

Low-light and the rotation of the earth pose several challenges to astrophotographers. Modern solutions to these challenges typically involve expensive hardware. We investigate computational methods to assist in astrophotography, speciﬁcally in the deblurring of “star trail” images captured using long-exposure times during which the stars in frame rotate about the sky. This task is divided into ﬁrst identifying the center of rotation in the image, then using deconvolution to remove the blur. We implement and evaluate various methods for both center of rotation detection and deconvolution, and we demonstrate the full pipeline on real star trail data.
Structure-Exploiting Discriminative Ordinal Multioutput Regression

Although the least-squares regression (LSR) has achieved great success in regression tasks, its discriminating ability is limited since the margins between classes are not specially preserved. To mitigate this issue, dragging techniques have been introduced to remodel the regression targets of LSR. Such variants have gained certain performance improvement, but their generalization ability is still unsatisfactory when handling real data. This is because structure-related information, which is typically contained in the data, is not exploited. To overcome this shortcoming, in this article, we construct a multioutput regression model by exploiting the intraclass correlations and input–output relationships via a structure matrix. We also discriminatively enlarge the regression margins by embedding a metric that is guided automatically by the training data. To better handle such structured data with ordinal labels, we encode the model output as cumulative attributes and, hence, obtain our proposed model, termed structure-exploiting discriminative ordinal multioutput regression (SEDOMOR). In addition, to further enhance its distinguishing ability, we extend the SEDOMOR to its nonlinear counterparts with kernel functions and deep architectures. We also derive the corresponding optimization algorithms for solving these models and prove their convergence. Finally, extensive experiments have testified the effectiveness and superiority of the proposed methods.
The Impact of COVID-19 Epidemic Declaration on Psychological Consequences: A Study on Active Weibo Users

COVID-19 (Corona Virus Disease 2019) has significantly resulted in a large number of psychological consequences. The aim of this study is to explore the impacts of COVID-19 on people’s mental health, to assist policy makers to develop actionable policies, and help clinical practitioners (e.g., social workers, psychiatrists, and psychologists) provide timely services to affected populations. We sample and analyze the Weibo posts from 17,865 active Weibo users using the approach of Online Ecological Recognition (OER) based on several machine-learning predictive models. We calculated word frequency, scores of emotional indicators (e.g., anxiety, depression, indignation, and Oxford happiness) and cognitive indicators (e.g., social risk judgment and life satisfaction) from the collected data. The sentiment analysis and the paired sample t-test were performed to examine the differences in the same group before and after the declaration of COVID-19 on 20 January, 2020. The results showed that negative emotions (e.g., anxiety, depression and indignation) and sensitivity to social risks increased, while the scores of positive emotions (e.g., Oxford happiness) and life satisfaction decreased. People were concerned more about their health and family, while less about leisure and friends. The results contribute to the knowledge gaps of short-term individual changes in psychological conditions after the outbreak. It may provide references for policy makers to plan and fight against COVID-19 effectively by improving stability of popular feelings and urgently prepare clinical practitioners to deliver corresponding therapy foundations for the risk groups and affected people.
Prognostic and Predictive Biomarkers in Oligometastatic Disease

Abstract Metastatic lesions are largely responsible for cancer-related deaths and are synonymous with a poor prognosis. However, this is not always true for patients with oligometastases whose disease may be amenable to curative-intent local therapies. It has been proposed that an “intermediate state” (oligometastasis) exists in between locoregional and advanced disease states; however, the clinical definition of oligometastasis varies, and there is limited understanding of how tumor biology differs between oligometastases and polymetastases. There is evidence that local therapies can extend survival in patients with oligometastases, yet patient selection for local intervention and/or systemic therapy remains a challenge. Prognostic and predictive biomarkers of oligometastatic disease are strongly needed to identify patient candidates most likely to gain survival benefit from local therapies and to aid in the incorporation of ablative treatments in the context of existing systemic therapies.
Comparison of spontaneous versus operative vaginal delivery using Obstetric Quality of Recovery-10 (ObsQoR-10): An observational cohort study.

STUDY OBJECTIVE We aimed to determine whether patient-reported quality of recovery differed between spontaneous and operative vaginal delivery. We also aimed to psychometrically evaluate the Obstetric Quality of Recovery-10 scoring tool (ObsQoR-10) for use in this setting. DESIGN Single center observational cohort study. SETTING Labour and delivery ward at a peripheral general hospital within the United Kingdom, over a 10-month period. PATIENTS 123 women delivering via either spontaneous (n = 68) or operative vaginal delivery (n = 55). INTERVENTIONS Women were asked to complete the ObsQoR-10 and global health visual analogue scale (0-100) on postpartum day 1. A convenience sample of consenting parturients delivering via spontaneous or operative vaginal delivery (forceps or vacuum assisted), were included. In total, 123 deliveries were included (68 via spontaneous and 55 via operative vaginal delivery), with no dropouts. MEASUREMENTS Primary outcome was ObsQoR-10 score and secondary outcomes included measures of validity, reliability and feasibility of ObsQoR-10. MAIN RESULTS Quality of recovery was better following spontaneous vaginal delivery. ObsQoR-10 scores were 80.2 (95% CI 76.4-83.9) and 72.1 (95% CI 67.3-76.9], (a difference in score of 8.1 [95% CI 2.1-14.0]) following spontaneous and operative vaginal delivery respectively (p = 0.008). VALIDITY ObsQoR-10 correlated with global health visual analogue scale score (R = 0.52; p = 0.01) and scores were higher in women requiring <36 h compared to ≥36 hour postpartum hospital stay (81.3 (95% CI 77.9-84.7) versus 72.6 (95% CI 67.9-77.2] hours respectively, (a difference in score of 8.7 [95% CI 2.8-14.6]; p = 0.004). Reliability: ObsQoR-10 demonstrated good internal consistency (Cronbach's alpha = 0.82 and inter-item correlation = 0.32) good split-half reliability (Spearman-Brown Prophesy Reliability Estimate = 0.88) and excellent test-re-test reliability (intra-class correlation coefficient of 0.86 [95% CI 0.72-0.93]). Feasibility: All women completed the survey with a median completion time of 2.5 min. CONCLUSIONS Quality of recovery appears to be better following spontaneous compared to operative vaginal delivery. This study also demonstrates that ObsQoR-10 is a valid and reliable tool for use following these delivery modes.
Exploration of Brain Connectivity during Human Inhibitory Control Using Inter-Trial Coherence

Inhibitory control is a cognitive process that inhibits a response. It is used in everyday activities, such as driving a motorcycle, driving a car and playing a game. The effect of this process can be compared to the red traffic light in the real world. In this study, we investigated brain connectivity under human inhibitory control using the phase lag index and inter-trial coherence (ITC). The human brain connectivity gives a more accurate representation of the functional neural network. Results of electroencephalography (EEG), the data sets were generated from twelve healthy subjects during left and right hand inhibitions using the auditory stop-signal task, showed that the inter-trial coherence in delta (1–4 Hz) and theta (4–7 Hz) band powers increased over the frontal and temporal lobe of the brain. These EEG delta and theta band activities neural markers have been related to human inhibition in the frontal lobe. In addition, inter-trial coherence in the delta-theta and alpha (8–12 Hz) band powers increased at the occipital lobe through visual stimulation. Moreover, the highest brain connectivity was observed under inhibitory control in the frontal lobe between F3-F4 channels compared to temporal and occipital lobes. The greater EEG coherence and phase lag index in the frontal lobe is associated with the human response inhibition. These findings revealed new insights to understand the neural network of brain connectivity and underlying mechanisms during human response inhibition.
Melatonin reverses nasopharyngeal carcinoma cisplatin chemoresistance by inhibiting the Wnt/β-catenin signaling pathway

Cisplatin (DDP)-based concurrent chemo-radiotherapy is a standard approach to treat locoregionally advanced nasopharyngeal carcinoma (NPC). However, many patients eventually develop recurrence and/or distant metastasis due to chemoresistance. In this study, we aimed to elucidate the effects of melatonin on DDP chemoresistance in NPC cell lines in vitro and vivo, and we explored potential chemoresistance mechanisms. We found that DDP chemoresistance in NPC cells is mediated through the Wnt/β-catenin signaling pathway. Melatonin not only reversed DDP chemoresistance, but also enhanced DDP antitumor activity by suppressing the nuclear translocation of β-catenin, and reducing expression of Wnt/β-catenin response genes in NPC cells. In vivo, combined treatment with DDP and melatonin reduced tumor burden to a greater extent than single drug-treatments in an orthotopic xenograft mouse model. Our findings provide novel evidence that melatonin inhibits the Wnt/β-catenin pathway in NPC, and suggest that melatonin could be applied in combination with DDP to treat NPC.
Monitoring of lung malignant epithelial cells by gene methylation analysis in the conditionally reprogrammed cell cultures.

Conditionally reprogrammed cells (CRCs) are an effective method for culturing primary malignant cells and non-malignant epithelial cells in vitro. This can be useful for precision medicine applications, such as drug sensitivity assays. However, this approach is commonly hindered by the nonspecific growth of non-malignant epithelial cells in CRC cultures and the lack of effective biomarkers/assays to distinguish them from primary tumor cells. In this study, we developed a DNA methylation-based, real-time PCR assay to investigate SHOX2 and PTGER4 gene promoters as sensitive markers for human lung cancer. We first found that in formalin-fixed, paraffin-embedded (FFPE) malignant lung samples, 90% (28/31) had increased SHOX2 and/or PTGER4 promoter methylation as compared with their adjacent non-malignant samples. We then applied this assay to fresh surgical tumors and found increased SHOX2 and/or PTGER4 promoter methylation in 80% (20/25) of tumor samples as compared with their corresponding adjacent non-malignant tissues. Increased methylation of SHOX2 or PTGER4 promoter regions was also detected in 52% (13/25) of CRC cultures. The presence of malignant cells was confirmed by growth in soft agar cultures, a hallmark of malignant transformation, as well by EGFR mutation analysis. These results demonstrate that SHOX2 and PTGER4 promoter methylation levels can be used to detect malignant lung epithelial cells in CRC cultures.
Whole Genome Characterization and Genetic Evolution Analysis of a New Ostrich Parvovirus

Ostrich diseases characterized by paralysis have been breaking out in broad areas of China since 2015, causing major damage to the ostrich breeding industry in China. This report describes a parvovirus detected in ostriches from four different regions. The entire genomes of four parvovirus strains were sequenced following amplification by PCR, and we conducted comprehensive analysis of the ostrich parvovirus genome. Results showed that the length genomes of the parvovirus contained two open reading frames. Ostrich parvovirus (OsPV) is a branch of goose parvovirus (GPV). Genetic distance analysis revealed a close relationship between the parvovirus and goose parvovirus strains from China, with the closest being the 2016 goose parvovirus RC16 strain from Chongqing. This is the first report of a parvovirus in ostriches. However, whether OsPV is the pathogen of ostrich paralysis remains uncertain. This study contributes new information about the evolution and epidemiology of parvovirus in China, which provides a new way for the study of paralysis in ostriches.
Influence of muscle fatigue on electromyogram–kinematic correlation during robot-assisted upper limb training

Introduction Studies on adaptive robot-assisted upper limb training interactions do not often consider the implications of muscle fatigue sufficiently. Methods To explore this, we initially assessed muscle fatigue in 10 healthy subjects using two electromyogram features, namely average power and median power frequency, during an assist-as-needed interaction with HapticMaster robot. Since robotic assistance resulted in a variable fatigue profile across participants, a completely tiring experiment, without a robot in the loop, was also designed to confirm the results. Results A significant increase in average power and a decrease in median frequency were observed in the most active muscles. Average power in the frequency band of 0.8–2.5 Hz and median frequency in the band of 20–450 Hz are potential fatigue indicators. Also, comparing the Spearman’s correlation coefficients (between the electromyogram average power and the kinematic force) across trials indicated that correlation was reduced as individual muscles were fatigued. Conclusions Confirming fatigue indicators, this study concludes that robotic assistance based on user’s performance resulted in lesser muscle fatigue, which caused an increase in electromyogram–force correlation. We now intend to utilise the electromyogram and kinematic features for auto-adaptation of therapeutic human–robot interactions.
The multifaceted role of kinases in amyotrophic lateral sclerosis: genetic, pathological and therapeutic implications

By reviewing recent findings on kinase function in ALS, Guo et al. show that kinases are implicated in ALS disease progression on three levels: a) genes encoding kinases are causal or risk genes in ALS; b) kinases interact with proteins encoded by ALS genes; and c) kinases participate in major ALS disease mechanisms.