Miracle-dz/UniFAR-FTUs huggingface dataset:
Triiodothyronine alleviates alcoholic liver disease injury through the negative regulation of the NLRP3 signaling pathway

The aim of the present study was to investigate the effect and mechanism of triiodothyronine (T3) on alcoholic liver disease (ALD)-induced injuries in mice. A total of 40 male C57/BL6 mice were randomly divided into the Control, ALD, ALD+T3 and ALD+T3+AMP-activated protein kinase inhibitor (CC) groups. Mice were administered alcohol (4 g/kg/day) intragastrically for 4 weeks except for Control group. Mice in the ALD+T3 group were given T3 (0.1 mg/kg/day) while mice in ALD+T3+CC group were given T3 (0.1 mg/kg/day) and CC (10 mg/kg/day) for 1 week. Control and ALD groups were treated with saline. Liver tissue and blood samples were obtained for testing. Alanine aminotransferase (ALT), aspartate aminotransferase (AST) and total bilirubin (TBIL) levels were determined and morphological changes in the liver tissues were observed under the optical microscope. Inflammatory factors, including IL-1β and transforming growth factor (TGF)-β/1, α-smooth muscle actin (SMA) and protein levels of nucleotide-binding oligomerization domain, leucine rich repeat containing family, pyrin domain containing 3 (NLRP3), caspase-1 and pro-IL-1β were measured. Serum ALT, AST and TBIL levels in the ALD+T3 group were significantly reduced compared with the ALD group, while they were significantly increased in the ALD+T3+CC group (P<0.05). The number of hepatic lobules in the ALD+T3 group was significantly reduced compared with the ALD group, whereas the number in the ALD+T3+CC group was significantly increased (P<0.05). IL-1β and TGF-β1 levels in the ALD+T3 group were significantly decreased compared with the ALD group; however, levels in the ALD+T3+CC group were significantly increased compared with the ALD+T3 group (P<0.05). In addition, it was revealed that the expression of α-SMA mRNA and protein in the ALD+T3 group was significantly decreased compared with the ALD group, whereas it was significantly increased in the ALD+T3+CC group compared with the ALD+T3 group. Expression of NLRP3, caspase-1, IL-1β and TGF-β1 in the ALD+T3 group was significantly decreased compared with the ALD group, while expression was significantly increased in the ALD+T3+CC group. Conversely, compared with the ALD group, expression of pro-IL-1β was significantly increased in the ALD+T3 group and decreased in the ALD+T3+CC group. In conclusion, T3 may reduce the inflammatory response and severity of liver cirrhosis in mice with ALD by negatively regulating the NLRP3 signaling pathway.
Documenting the impact of stroke in a middle-income country: a Malaysian case study

Abstract Purpose: Stroke is an abrupt event that often leaves survivors with long term disabilities, causing role changes, and financial strains on households. The profound impact of stroke on survivors may lead to a decline in quality of life due to the physical, psychological, and social difficulties they experience. Taking Malaysia as an example, this study aimed to explore the impact of stroke on survivors and how health services influence their recovery in low and middle-income countries (LMIC). Method: An ethnographic approach with data obtained primarily through in-depth interviews was used. Twenty-seven participants identified as having suffered a stroke were drawn from a health and demographic surveillance system in Malaysia. Results: The physical and social disruption of the lives of stroke survivors was intensified by the resultant financial constraints placed upon individuals, families and households, compounded by inadequate support from the health, and welfare systems. Despite the disruption to their lives, most participants were, at least in part, able to reestablish their lives through various factors that include a strong family support and active coping strategies. Conclusion: In LMIC, recovery can be shaped by the family unit and through active coping strategies especially those in relation to spirituality. Implications for rehabilitation The impact of stroke on survivors and lack of specialized stroke care compromise the recovery process and quality of life for stroke survivors in low and middle-income countries. Support from the family and reinforcement of religious coping were judged to successfully aid recovery. Physical and emotional impairments as well as psychosocial wellbeing of survivors in the context of environmental factors need to be addressed.
The Speed Improvement by Merging Batch Normalization into Previously Linear Layer in CNN

With the development of deep learning, the convolutional neural network is developing more deeply, which undoubtedly has considerable requirements for the calculative ability and storage capacity of the application environment. In order to get a better use of convolutional neural networks in mobile phones, embedded platforms and other platforms with limited calculative ability, this paper proposes to accelerate the neural network by integrating the Batch Normalization and previously Linear layers and analyzes the feasibility theoretically. The experimental results on the CPU, GPU and Raspberry Pi validate the effectiveness of this method. The experiments using Caffe framework show that the merging of Batch Normalization and previously linear layers can increase the speed of the neural network by 30% to 50%.
Effects of alprostadil combined with calcium dobesilate in patients with diabetic peripheral neuropathy.

OBJECTIVE To observe the clinical curative effects of alprostadil combined with calcium dobesilate in type 2 diabetes patients with peripheral neuropathy. METHODS We randomly divided 120 type 2 diabetes patients with diabetic peripheral neuropathy into two groups. The treatment group was prescribed alprostadil (10 μg, once daily) and oral calcium dobesilate (0.5 g, 3 times daily), and the control group was prescribed alprostadil (10 μg, once daily) for a total treatment duration of 2 weeks. The Michigan Diabetic Neuropathy Score (MDNS) and the Michigan Neuropathy Screening Instrument (MNSI) were used to evaluate differences between the two groups before and after treatment. RESULTS Following 2 weeks of treatment, the total effective rate in the treatment group was significantly better than that of the control group (p<0.05) and the MDNS and MNSI scores in the treatment group were significantly lower than those in the control group (p<0.05 or p<0.01). CONCLUSION Combined alprostadil and calcium dobesilate treatment for type 2 diabetic peripheral neuropathy showed good clinical efficacy and an improved curative effect than single alprostadil treatment.
An Wideband Single Ridge Waveguide-Based Slot Antenna with Low Profile

An antenna slotted in the long side of single ridge waveguide is designed this article, through the ridge waveguide-rectangular waveguide transition structure, it broads array's working frequency, meanwhile, Two ridge waveguides on a line in Chebyshev current distribution reduces side-lobe of the antenna. Single ridge waveguide slot antenna gains 17.7dBi in Center frequency, the relative bandwidth is about 6.4% below VSWR of 2 and the 2 * 8 designed antenna array has 500MHz bandwidth below VSWR of 1.5, it gains 27.18dBi in Center frequency, Chebyshev aperture distribution direction side-lobe level is −27dB. The structure size is 388.36mm*299mm*23mm. it has high gain, low profile, compact structure, low Side-lobe level, small size, ease of processing, which is suitable for portable satellite communication stations.
A Parallel Plate Ultrawideband Multibeam Microwave Lens Antenna

An ultrawideband multibeam microwave lens antenna operating from 8 to 18 GHz is proposed. The antenna consists of four excitation ports connected to a parallel plate waveguide filled with a cylindrical dielectric slab, which serves as a lens in order to modify the cylindrical wavefront launched by the excitation ports. The output of the lens is a plane wave guided to a radiation aperture with a linear tapered flare. Four distinct fan-beams covering 40° in the azimuth plane with an elevation beamwidth of 30° and a minimum gain of 15 dBi have been achieved. The main advantages of our design include its relative simplicity, ease of fabrication, having a low profile, not requiring an antenna feed, and high-power handling capability. The design procedure is presented together with the optimization procedures. The proposed structure has been simulated with the CST software and fabricated. There is an excellent agreement between the simulation and measurement results.
Unique histopathologic features of the eyelid dermatofibroma

ABSTRACT Purpose: Dermatofibromas are common cutaneous lesions, but rarely occur in the eyelid skin. The reason for the low incidence in the palpebral skin has not been elucidated. In this study, we analyze the histopathologic features of an illustrative case of dermatofibroma and review previously published cases to determine whether eyelid dermatofibroma develops differently from the prototypical dermatofibroma. Methods: Histopathologic analysis of a new illustrative case of eyelid dermatofibroma and retrospective review of published cases. Results: The distinguishing features of the illustrative lesion included a rounder gross appearance, nonacanthotic epithelium, basophilic staining, cellular character, and a paucity of “collagen trapping. ” These features deviated from the typical features associated with classic dermatofibroma. Review of the 11 previously published cases of eyelid dermatofibroma revealed that they were more similar in appearance to the illustrative lesion than to classic dermatofibroma. Discussion: The rarity and histological deviations of the eyelid dermatofibroma suggest that the dermal substrate from which the lesion develops differs from that of the classic dermatofibroma. This difference may be explained microanatomically based on the fact that the dermis of the eyelid is predominantly papillary, whereas the dermis of extrapalpebral skin where dermatofibromas are more common is predominantly reticular. Conclusions: Although related, eyelid dermatofibromas appear to be histologically distinct from classic dermatofibromas, owing to the unique dermal composition of the site of origin.
Negative outcomes in attention-deficit/hyperactivity disorder comorbid with oppositional defiant disorder

Objectives In children and adolescents diagnosed with attention-deficit/hyperactivity disorder (ADHD), the comorbidity of the oppositional defiant disorder (ODD) negatively affects the course of ADHD. The purpose of this study was to compare ADHD-diagnosed children with and without ODD comorbidity in terms of smoking, psychoactive substance use, disciplinary punishments at school, criminal behaviors, and unintentional injuries. Methods This study included 109 children diagnosed with ADHD alone and 79 children with the ADHD-ODD comorbidity from a child psychiatry outpatient clinic. The children who participated in the study were aged between 6 and 15 years. Diagnoses of the children were determined by child psychiatrists according to DSM-IV criteria, and the Turgay DSM-IV-based Child and Adolescent Behavior Disorders Screening and Rating Scale-Parents Form was used to support the diagnosis in initial evaluations of children. Forty-six to fifty months after the first admission, parents were questioned regarding all negative outcomes from the time of first diagnosis to the time of the evaluation by phone. Results The groups were compared in terms of smoking, psychoactive substance use, disciplinary punishments at school, criminal behaviors, and unintentional injuries over a period of 4 years. The ODD-ADHD group was determined to have higher rates of disciplinary punishments at school, smoking, and unintentional injuries compared with the ADHD group. No statistically significant difference was found between the two groups in terms of criminal behaviors and psychoactive substance use. Conclusions The ODD comorbidity increases the risk of negative outcomes in children diagnosed with ADHD.
The Role of Beta-7 Integrin and Carbonic Anhydrase IX in Predicting the Occurrence of de Novo Nonalcoholic Fatty Liver Disease in Liver Transplant Recipients.

Background: Liver transplant (LT) recipients are at increased risk for developing metabolic syndrome. Early detection of NAFLD and other components of the metabolic syndrome is an important step in reducing morbidity and mortality. Methods: We assessed 60 liver transplant recipients for clinical and biological features, performed abdominal ultrasound and transient elastography (TE) Fibroscan© with controlled attenuation parameter (CAP), calculated non-invasive scoring systems APRI, FIB-4, NAFLD score, cardiovascular risk (Framingham risk score) and for the presence of metabolic syndrome and performed two biomarkers: beta 7 integrin and carbonic anhydrase IX. Results: Sixty liver transplant recipients underwent clinical and biochemical evaluation, abdominal ultrasound and TE with CAP. The median age was 56.5 years and the median time from transplantation 35 months. The Spearman correlation coefficient of beta 7 integrin and the liver stiffness measurement values obtained via Fibroscan© we obtained a moderate correlation r=0.31, but a significant association (p=0.01). The univariate analysis showed significant association between both biomarkers and liver fibrosis assessed with a cut-off value of advanced fibrosis of 8.7 kPa. The carbonic anhydrase IX showed a better correlation when compared to the liver stiffness with a correlation coefficient of 0.43 and p-value=0.0007 and a moderate correlation when compared to both FIB-4 (r=0.27) and APRI (r=0.27) score for liver fibrosis but with a significant p value=0.04, respectively 0.03. CONCLUSION We consider very important for our patients the development of new non-invasive biomarkers for early diagnosis of NAFLD and NASH, as the "gold-standard" of liver biopsy is not easily accepted in clinical practice. Also NAFLD and NASH are dynamic processes that need prospective and repeated assessments, a need that cannot be met by the classical liver biopsy.
Survey on Real Time Hand Gesture Recognition

Since ancient times, gestures has been the basic mode of communication, until humans developed vocal communication, but still, non-vocal communication is equally significant. These hand gestures have various application not only in entertainment and utility sections like human computer interaction, gaming but also in human life improvement sections like real time traffic signal control system and sign language recognition for the deaf and dumb. The major steps involved in implementing this recognition system include data acquisition, segmentation and tracking, feature extraction and gesture recognition. Hand gesture technologies can be basically divided into Sensor Based, Vision Based and Depth Based techniques. Each technique has its pro’s and con’s while being used for various applications. Based on the research works conducted by researchers various techniques implemented at each step can modified according to the improving hardware and software framework developments. This paper thus presents an amalgamation of various techniques and its substeps which can come handy while working on real time hand gesture recognition.
Classification Algorithms for Semi-Blind Uplink/Downlink Decoupling in Sub-6 GHz/mmWave 5G Networks

Reliability and latency challenges in future mixed sub-6 GHz/millimeter wave (mmWave) fifth generation (5G) cell-free massive multiple-input multiple-output (MIMO) networks is to guarantee a fast radio resource management in both uplink (UL) and downlink (DL), while tackling the corresponding propagation imbalance that may arise in blockage situations. In this context, we introduce a semi-blind UL/DL decoupling concept where, after its initial activation, the central processing unit (CPU) gathers measurements of the Rician K-factor—reflecting the line-of-sight (LOS) condition of the user equipment (UE)—as well as the DL reference signal receive power (RSRP) for both 2.6 GHz and 28 GHz frequency bands, and then train a non-linear support vector machine (SVM) algorithm. The CPU finally stops the measurements of mmWave definitely, and apply the trained SVM algorithm on the 2.6 GHz data to blindly predict the target frequencies and access points (APs) that can be independently used for the UL and DL. The accuracy score of the proposed classifier reaches 95% for few training samples.
Industrial Anomaly Detection and One-class Classification using Generative Adversarial Networks

Industrial image datasets for quality inspection are mostly sparse in defects. It is then hard for both automated optical inspection (AOI) machines and simple neural network classifiers to inspect all defects effectively. In this work, we develop a novel framework for industrial anomaly detection in one-class classification manner, which utilized pre-trained generative adversarial networks (GANs) as the rule of thumb to perform anomaly detection. Our results show that GANs are able to capture arbitrary and structural industrial images and can effectively discern defects when the query images are defective.
Digital Teaching and Digital Medicine: A national initiative is needed

The advancing digitization of the healthcare system requires that in the future digital skills should be communicated to students much more. In addition, digital teaching and learning technologies should be used wherever they offer real benefits over other training scenarios. To meet these challenges, it needs a national initiative “Medical Education in the Digital Age”, which should be led by the Society for Medical Education and the German Association for Medical Informatics, Biometry and Epidemiology.
The Study of Viewing Behaviors Based on Gazing Points Visualization

The interpretation of film and television features is one of the main directions of its reviews. However, the objective evaluation of the viewing behaviors still has no results. Our research is carried out on the self-developed Gazing Points Visualization Platform. We realized audiences' gazing points visualization, completed some calculations of images, compared the significant prediction with eye tracking data and drew a matching degree diagram of them. And we explored the common characteristics of content and audience interaction from the perspective of viewing behavior. We demonstrate that most of the audiences' gazing behaviors are similar and have common rules. We also find the rule that similar images can guide the similar viewing pattern. High salience corresponds to high matching. It indicates rhythm of the film. Our results and methods can provide means for audiences' cognitive evaluation and prediction, provide data and analysis basis for movie content creation. Furthermore, our platform helps to achieve closed loop collaborative evaluation.
Motion-Blurred Shadows Utilizing a Depth-Time Ranges Shadow Map

In this paper, we propose a novel algorithm for rendering motion-blurred shadows utilizing a depth-time ranges shadow map. First, we render a scene from a light source to generate a shadow map. For each pixel in the shadow map, we store a list of depth-time ranges. Each range has two points defining a period where a particular geometry was visible to the light source and two distances from the light. Next, we render the scene from the camera to perform shadow tests. With the depths and times of each range, we can easily sample the shadow map at a particular receiver and time. Our algorithm runs entirely on GPUs and solves various problems encountered by previous approaches.
Artificial Sum Frequency Generation from Resonant Metasurface

The artificial sum frequency generation is generated from resonant graphene-gold metasurface without the insertion of nonlinear materials. By introducing both electric dipole resonance and magnetic resonance at two fundamental frequencies, the SFG efficiency is more than 2 orders of magnitude larger than that of second harmonic generation with only one resonance. The proposed concept will pave the way for establishing novel engineered nonlinear metamaterials and their practical applications.
Reciprocity-based cooperative phalanx maintained by overconfident players

According to the evolutionary game theory principle, a strategy representing a higher payoff can spread among competitors. But there are cases when a player consistently overestimates or underestimates her own payoff, which undermines proper comparison. Interestingly, both underconfident and overconfident individuals are capable of elevating the cooperation level significantly. While former players stimulate a local coordination of strategies, the presence of overconfident individuals enhances the spatial reciprocity mechanism. In both cases the propagations of competing strategies are influenced in a biased way resulting in a cooperation supporting environment. These effects are strongly related to the nonlinear character of invasion probabilities which is a common and frequently observed feature of microscopic dynamics.
Outsourced Private Function Evaluation with Privacy Policy Enforcement

We propose a novel framework for outsourced private function evaluation with privacy policy enforcement (OPFE-PPE). Suppose an evaluator evaluates a function with private data contributed by a data contributor, and a client obtains the result of the evaluation. OPFE-PPE enables a data contributor to enforce two different kinds of privacy policies to the process of function evaluation: evaluator policy and client policy. An evaluator policy restricts entities that can conduct function evaluation with the data. A client policy restricts entities that can obtain the result of function evaluation. We demonstrate our construction with three applications: personalized medication, genetic epidemiology, and prediction by machine learning. Experimental results show that the overhead caused by enforcing the two privacy policies is less than 10% compared to function evaluation by homomorphic encryption without any privacy policy enforcement.
Thromboelastography-derived parameters for the prediction of acute thromboembolism following non-steroidal anti-inflammatory drug-induced gastrointestinal bleeding: A retrospective study

Efficacy of thromboelastography (TEG)-derived parameters for the prediction of acute thromboembolism (AT) in patients with non-steroidal anti-inflammatory drug (NSAID)-induced gastrointestinal bleeding (GIB) remains to be determined. A retrospective propensity score matching (PSM) study was performed to evaluate this efficacy. Patients with NSAID-induced GIB (98 with AT; 830 without AT) were matched for age, sex and history of cardiovascular and cerebrovascular diseases using PSM. Multivariate logistic regression was used to determine the efficacy of TEG-derived predictors of AT. Mean Decrease Gini (MDG) coefficients were used to rank the importance of the variables from random forest algorithm results. Univariate analysis indicated that the following indexes were significantly different between the two groups: Reaction time (R value), coagulation forming time, solidification angle, maximum amplitude (MA), coagulation index (CI), hemoglobin levels, D-dimer levels, platelet aggregation test (pAgt) results, fibrinogen levels and Acute Physiology and Chronic Health Evaluation II score (all P<0.001). Multifactor logistic regression analysis indicated that the R value (P=0.010), solidification angle (P=0.004), MA (P=0.038), D-dimer levels (P=0.012) and pAgt results (P=0.015) were independent predictors of AT in patients with NSAID-induced GIB, achieving an area under the curve of 0.999 in receiver operating characteristic curve analyses. The five most important parameters according to the MDG scores (MDGS) were: Solidification angle (MDGS=58.14), R value (MDGS=20.42), pAgt results (MDGS=15.61), D-dimer levels (MDGS=12.78) and CI (MDGS=12.61). The results of the present study indicated that TEG-derived parameters including the R value, solidification angle, MA and CI, as well as D-dimer levels and pAgt score were significant predictors of AT in patients with NSAID-induced GIB.