Miracle-dz/UniFAR-FTUs huggingface dataset:
Face Recognition Based on Improved Fuzzy RBF Neural Network for Smart Device

Face recognition is a science of automatically identifying individuals based their unique facial features. In order to avoid overfitting and reduce the computational reduce the computational burden, a new face recognition algorithm using PCA-fisher linear discriminant (PCA-FLD) and fuzzy radial basis function neural network (RBFNN) is proposed in this paper. First, face features are extracted by the principal component analysis (PCA) method. Then, the extracted features are further processed by the Fisher"s linear discriminant technique to acquire lower-dimensional discriminant patterns, the processed features will be considered as the input of the fuzzy RBFNN. As a widely applied algorithm in fuzzy RBF neural network, BP learning algorithm has the low rate of convergence, therefore, an improved learning algorithm based on Levenberg-Marquart (L-M) for fuzzy RBF neural network is introduced in this paper, which combined the Gradient Descent algorithm with the Gauss-Newton algorithm. Experimental results on the ORL face database demonstrate that the proposed algorithm has satisfactory performance and high recognition rate.
Font generation of personal handwritten Chinese characters

Today, digital multimedia messages have drawn more and more attention due to the great achievement of computer and network techniques. Nevertheless, text is still the most popular media for people to communicate with others. Many fonts have been developed so that product designers can choose unique fonts to demonstrate their idea gracefully. It is commonly believed that handwritings can reflect one’s personality, emotion, feeling, education level, and so on. This is especially true in Chinese calligraphy. However, it is not easy for ordinary users to customize a font of their personal handwritings. In this study, we performed a process reengineering in font generation. We present a new method to create font in a batch mode. Rather than to create glyphs of characters one by one according to their codepoints, people create glyphs incrementally in an on-demand manner. A Java Implementation is developed to read a document image of user handwritten Chinese characters, and make a vector font of these handwritten Chinese characters. Preliminary experiment result shows that the proposed method can help ordinary users create their personal handwritten fonts easily and quickly.
Biological and clinical relevance of metastasis‐associated long noncoding RNAs in esophageal squamous cell carcinoma: A systematic review

Esophageal squamous cell carcinoma (ESCC) is a foremost cancer‐related death worldwide owing to rapid metastasis and poor prognosis. Metastasis, as the most important reason for death, is biologically a multifaceted process involving a range of cell signaling pathways. Long noncoding RNAs (lncRNAs), as transcriptional regulators, can regulate numerous genomic processes and cellular processes such as cell proliferation, migration, and invasion. LncRNAs have also been shown to involve in/regulate the cancer metastasis‐related signaling pathways. Hence, they have increasingly been brought to international attention in molecular oncology research. A number of researchers have attempted to reveal the biological and clinical relevance of lncRNAs in ESCC tumourigenesis and metastasis. The aberrant expression of these molecules in ESCC has regularly been reported to involve in various cellular processes and clinical features, including diagnosis, prognosis, and therapeutic responses. Here, we especially consider the pathways in which lncRNAs act as metastasis‐mediated effectors, mainly by interacting with epithelial–mesenchymal transition‐associated factors. We review the biological roles of lncRNAs through involving in ESCC metastasis as well as the clinical significance of the metastasis‐related lncRNAs in cancer diagnosis and prognosis.
Integrated mRNA‐Seq and miRNA‐Seq analysis of PLCγ2‐overexpressing hepatocarcinoma cells and identification of the associated miRNA‐mRNA network

Our previous study has discovered the positive effect of phospholipase Cγ 2 (PLCγ2) on the growth of hepatocarcinoma cells; however, the underlying mechanism is far from being understood. For this reason, this study attempts to identify the differently expressed microRNAs (miRNAs) and messenger RNAs (mRNAs) in PLCγ2‐overexpressing hepatocarcinoma cells. The results showed that totally 596 differently‐expressed genes (DEGs) were identified in PLCγ2‐expressed cells, including 314 upregulated and 282 downregulated ones; according to gene ontology analysis, these DEGs were involved in different cellular processes. Concurrently, 34 differently‐expressed miRNAs (DEMs) were also detected in PLCγ2‐expressing hepatocarcinoma cells. Moreover, the integrative analysis of miRNA and mRNA expression profiles identified the potential regulatory network linked to hepatocarcinoma‐related biological processes, including metabolic activity, gene expression, cell cycle, cell migration, and so on. To our knowledge, it is the first study on the effect of PLCγ2 on miRNA and mRNA expressions in hepatocarcinoma cells, and the findings provide new insights into the mechanism supporting the growth‐promoting effect of PLCγ2 in hepatocarcinoma cells.
pathophysiology and clinical implications

a distinct entity, pre-eclampsia, at least its early onset variety, is just one in a spectrum of complications of pregnancy that share a common pathophysiology centered upon disordered placentation. That spectrum, referred to as “disorders of placentation” or the “great obstetrical syndromes,” includes late spontaneous miscarriage, abruptio placentae, fetal growth restriction (FGR), pre-term rupture of the membranes, and premature delivery. 1 The lack of spontaneous pre-clinical animal models for these conditions has limited our understanding, but the recent advances in “omics technologies” 2 and the derivation of organoid cultures of the endometrium 3 and placental trophoblast 4 5 create new opportunities for systematic research. This review considers modifications to the definition of pre-eclampsia, and the epidemiology, prediction, treatment, and long term consequences of the syndrome. In terms of the pathophysiology, the review summarises emerging evidence that there are at least two sub-types: early and late onset pre-eclampsia, with others almost certainly yet to be identified. 6 Early onset pre-eclampsia is widely acknowledged to have primarily a placental cause, while late onset pre-eclampsia may center around AbstrAct Pre-eclampsia is a common disorder that particularly affects first pregnancies. The clinical presentation is highly variable but hypertension and proteinuria are usually seen. These systemic signs arise from soluble factors released from the placenta as a result of a response to stress of syncytiotrophoblast. There are two sub-types: early and late onset pre-eclampsia, with others almost certainly yet to be identified. Early onset pre-eclampsia arises owing to defective placentation, whilst late onset pre-eclampsia may center around interactions between normal senescence of the placenta and a maternal genetic predisposition to cardiovascular and metabolic disease. The causes, placental and maternal, vary among individuals. Recent research has focused on placental-uterine interactions in early pregnancy. The aim now is to translate these findings into new ways to predict, prevent, and treat pre-eclampsia.
Acquisition of IgG to ICAM-1-Binding DBLβ Domains in the Plasmodium falciparum Erythrocyte Membrane Protein 1 Antigen Family Varies between Groups A, B, and C

Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1) is an important malaria virulence factor. The protein family can be divided into clinically relevant subfamilies. ICAM-1-binding group A PfEMP1 proteins also bind endothelial protein C receptor and have been associated with cerebral malaria in children. IgG to these PfEMP1 proteins is acquired later in life than that to group A PfEMP1 not binding ICAM-1. ABSTRACT Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1) is an important malaria virulence factor. The protein family can be divided into clinically relevant subfamilies. ICAM-1-binding group A PfEMP1 proteins also bind endothelial protein C receptor and have been associated with cerebral malaria in children. IgG to these PfEMP1 proteins is acquired later in life than that to group A PfEMP1 not binding ICAM-1. The kinetics of acquisition of IgG to group B and C PfEMP1 proteins binding ICAM-1 is unclear and was studied here. Gene sequences encoding group B and C PfEMP1 with DBLβ domains known to bind ICAM-1 were used to identify additional binders. Levels of IgG specific for DBLβ domains from group A, B, and C PfEMP1 binding or not binding ICAM-1 were measured in plasma from Ghanaian children with or without malaria. Seven new ICAM-1-binding DBLβ domains from group B and C PfEMP1 were identified. Healthy children had higher levels of IgG specific for ICAM-1-binding DBLβ domains from group A than from groups B and C. However, the opposite pattern was found in children with malaria, particularly among young patients. Acquisition of IgG specific for DBLβ domains binding ICAM-1 differs between PfEMP1 groups.
Sorafenib plus intensive chemotherapy improves survival in patients with newly diagnosed, FLT3‐internal tandem duplication mutation–positive acute myeloid leukemia

The addition of midostaurin to induction chemotherapy improves survival in younger patients with newly diagnosed, FLT3–mutated acute myeloid leukemia (AML). Sorafenib is a potent multikinase inhibitor with efficacy when given as monotherapy. The authors investigated whether the addition of sorafenib to intensive induction chemotherapy improves outcomes in patients with FLT3‐internal tandem duplication (ITD)–mutated AML.
Automatic analysis of a skull fracture based on image content

Automatic analysis based on image content is a hotspot with bright future of medical image diagnosis technology research. Analysis of the fracture of skull can help doctors diagnose. In this paper, a new approach is proposed to automatically detect the fracture of skull based on CT image content. First region growing method, whose seeds and growing rules are chosen by k-means clustering dynamically, is applied for image automatic segmentation. The segmented region boundary is found by boundary tracing. Then the shape of the boundary is analyzed, and the circularity measure is taken as description parameter. At last the rules for computer automatic diagnosis of the fracture of the skull are reasoned by entropy function. This method is used to analyze the images from the third ventricles below layer to cerebral cortex top layer. Experimental result shows that the recognition rate is 100% for the 100 images, which are chosen from medical image database randomly and are not included in the training examples. This method integrates color and shape feature, and isn't affected by image size and position. This research achieves high recognition rate and sets a basis for automatic analysis of brain image.
Parts of speech as constructions: The case of Hebrew “adverbs”

The paper re-appraises accepted classifications of linguistic elements into word-level constructions on the one hand and in terms of Parts-of-Speech systems on the other from the point of view of Construction Grammar (CxG). We focus on a particular adverbial construction in Hebrew, with the surface form PrepOC, where “Prep” is one of the four basic prepositions in the language and OC stands for fixed forms of a lexically restricted group of Nouns, Verbs, or Adjectives. We analyze these constructions as having an “intermediate” status, in terms of elements lying between those that express concrete conceptual content and those that activate an abstract grammatical schema. The special nature of these and other intermediate word-level constructions in Hebrew is demonstrated experimentally in sentential contexts, and their functional, structural, and distributional properties are analyzed in the discursive context of a large corpus of authentic texts, both oral and written. Evidence from on-line processing strategies and speaker judgments combines with discourse based usage to confirm the special status of Hebrew PrepOC expressions as word-level constructions occupying neither the atomic-substantive nor the complex-schematic end of the syntax-lexicon continuum. Furthermore, we propose that these constructions analyzed here as “pragmatically/discoursally motivated”, along with other “intermediate” constructions, function as textually motivated Parts-of-Discourse rather than as semantically autonomous or structurally dependent Parts-of-Speech.
Cellular Neural Networks, Navier-Stokes equation and microarray image reconstruction

Despite the latest improvements in the microarray technology, many developments are needed particularly in the image processing stage. Some hardware implementations of microarray image processing have been proposed and proved to be a promising alternative to the currently available software systems. However, the main drawback is the unsuitable addressing of the quantification of the gene spots which depend on many assumptions. It is our aim in this paper to present a new Image Reconstruction algorithm using Cellular Neural Network, which solves the Navier-Stokes equation. This algorithm offers a robust method to estimate the background signal within the gene spot region. Quantitative comparisons are carried out, between our approach and some available methods in terms of objective standpoint. It is shown that the proposed algorithm gives highly accurate and realistic measurements in a fully automated manner, and also, in a remarkably efficient time.
The Design and Analysis of the Key-Stream Generator Based on the AES

The key-stream generator is the most important algorithm component of the stream cipher. At the present, it is an important development direction of the stream cipher algorithm that uses complex block cipher algorithms to construct high performance key-stream generators. The paper puts forward a new design method of the key-stream generator based on the AES algorithm. This method is based on the CFB mode of the AES algorithm, combined with the variable-step feedback shift. Then the paper analyses the randomness of the key-stream produced by the new key-stream generator. This new key-stream generator really improves the cryptographic properties of the key stream generator and to enhance the security of stream cipher.
Knowledge sharing behavior among community members in professional research information centers

South Korea is a world leader in human capital and research investment. However, compared to other countries with similar levels of resource input, Korea has relatively weaker output performance. This is a concern for the Korean government and the funding agencies that invest heavily in R&D activities. Since knowledge sharing among members influences the output performance within an R&D sector, this paper investigates the factors that affect the knowledge sharing intention and behavior among members of a national R&D center in Korea. A total of 286 members in the Biology Research Information Center participated in a survey. The results show that intrinsic and extrinsic motivations significantly influence the members’ intention to share knowledge. Cognitive and relational capital also exert significant effects on the members’ knowledge sharing intention. Structural capital, however, does not have any significant effect on intention. The members’ intention to share knowledge links significantly to their actual knowledge sharing behavior.
Rapid healing of a critical‐sized bone defect using a collagen‐hydroxyapatite scaffold to facilitate low dose, combinatorial growth factor delivery

The healing of large, critically sized bone defects remains an unmet clinical need in modern orthopaedic medicine. The tissue engineering field is increasingly using biomaterial scaffolds as 3D templates to guide the regenerative process, which can be further augmented via the incorporation of recombinant growth factors. Typically, this necessitates supraphysiological doses of growth factor to facilitate an adequate therapeutic response. Herein, we describe a cell‐free, biomaterial implant which is functionalised with a low dose, combinatorial growth factor therapy that is capable of rapidly regenerating vascularised bone tissue within a critical‐sized rodent calvarial defect. Specifically, we demonstrate that the dual delivery of the growth factors bone morphogenetic protein‐2 (osteogenic) and vascular endothelial growth factor (angiogenic) at a low dose (5 μg/scaffold) on an osteoconductive collagen‐hydroxyapatite scaffold is highly effective in healing these critical‐sized bone defects. The high affinity between the hydroxyapatite component of this biomimetic scaffold and the growth factors functions to sequester them locally at the defect site. Using this growth factor‐loaded scaffold, we show complete bridging of a critical‐sized calvarial defect in all specimens at a very early time point of 4 weeks, with a 28‐fold increase in new bone volume and seven‐fold increase in new bone area compared with a growth factor‐free scaffold. Overall, this study demonstrates that a collagen‐hydroxyapatite scaffold can be used to locally harness the synergistic relationship between osteogenic and angiogenic growth factors to rapidly regenerate bone tissue without the need for more complex controlled delivery vehicles or high total growth factor doses.
Focused extra-corporeal shockwave treatment during early stage of osteonecrosis of femoral head

In recent years, increasing evidence has demonstrated that time, high amplitude, and a short duration. In terms of extra-corporeal shockwave therapy (ESWT) can offer an technique, it could be generated using three different effective and non-invasive method for the treatment of musculoskeletal disorders, such as shoulder tendinopathies, lateral epicondylopathy of the elbow, greater trochanteric pain syndrome, patellar tendinopathy, Achilles tendinopathy, plantar fasciitis, and bone disorders. As a safe, cheap, and non-invasive therapeutic method, ESWT has played a promising role in orthopedic medicine. Inspired by this, several researchers have attempted to investigate its use for treating osteonecrosis of the femoral head. ESWT deserves being recommended as the optimal choice for osteonecrosis of the femoral head (ONFH).
New label‐free automated survival assays reveal unexpected stress resistance patterns during C. elegans aging

Caenorhabditis elegans is an excellent model for high‐throughput experimental approaches but lacks an automated means to pinpoint time of death during survival assays over a short time frame, that is, easy to implement, highly scalable, robust, and versatile. Here, we describe an automated, label‐free, high‐throughput method using death‐associated fluorescence to monitor nematode population survival (dubbed LFASS for label‐free automated survival scoring), which we apply to severe stress and infection resistance assays. We demonstrate its use to define correlations between age, longevity, and severe stress resistance, and its applicability to parasitic nematodes. The use of LFASS to assess the effects of aging on susceptibility to severe stress revealed an unexpected increase in stress resistance with advancing age, which was largely autophagy‐dependent. Correlation analysis further revealed that while severe thermal stress resistance positively correlates with lifespan, severe oxidative stress resistance does not. This supports the view that temperature‐sensitive protein‐handling processes more than redox homeostasis underpin aging in C. elegans. That the ages of peak resistance to infection, severe oxidative stress, heat shock, and milder stressors differ markedly suggests that stress resistance and health span do not show a simple correspondence in C. elegans.
Long noncoding RNA Alu‐mediated p21 transcriptional regulator promotes proliferation, migration, and pipe‐formation of human microvascular endothelial cells by sponging miR‐126

Peripheral artery disease (PAD) is a serious hazard to the elderly in the lower extremity atherosclerotic plaque, accompanied by a large number of angiogenesis. Long noncoding RNA Alu‐mediated p21 transcriptional regulator (APTR) exerts important functions in promoting cell growth. Therefore, we planned to research the mechanism of APTR in angiogenesis in PAD. CCK‐8 assay, flow cytometry analysis, and migration assay were to detect cell viability, apoptosis, and migration respectively. The interaction between APTR and miR‐12 was tested through luciferase activity test. In vitro angiogenesis assay was used to test the number of tubular cells. qRT‐PCR and Western blot were to test expression of APTR, miR‐126, and angiogenesis relative factors. There was spontaneously pipe‐formation in HEMC‐1 cells under matrigel condition. Knockdown of APTR inhibited cell viability and migration and reduced the number of tubular cells. Further, APTR sponged miR‐126 and downregulating miR‐126 to promote angiogenesis. Overexpression of APTR promoted cell activity and migration and increased the number of tubular cells via negatively regulating miR‐126. APTR could elevate activating phosphatidylinositol 3 kinase/protein kinase B and mitogen extracellular kinase/extracellular signal‐regulated kinase signal pathways via negatively regulating miR‐126 to promote cell proliferation, migration, and pipe‐formation. We researched the mechanism of angiogenesis that APTR elevated proliferation, migration, and pipe‐formation via negatively regulating miR‐126.
A Unified Utility Framwork for Applications in Heterogeneous Wireless Environment

The paper studies the adaptable capability of applications in mobile networks in the context of the optimizing the network resource usage. Based on a thorough analysis of applications’ adaptability, a unified utility framework is proposed to describe the resource requirement of applications and their adaptability. Utility functions of different type of applications are discussed under the utility framework. Examples for how to use the framework are also given. Simulation results show that the proposed utility framework can be used for optimizing network resources and can therefore satisfy the needs of more applications.
Translating IOA automata to PVS

1994 Extended Computing Reviews Classification System: D.2. 4 [Software Engineering]: Program Verifica­ tion Assertion Checkers, Correctness Proofs, F.1. 1 [Computation by Abstract Devices]: Automata, F.1. 2 [Computation by Abstract Devices]: Parallelism and Concurrency, F.3. 1 [Logics and Meanings of Programs]: Specifying, Verifying and Reasoning, F.4. 3 [Formal Languages]: Mathematical Logic and Formal Languages Operations on Languages 1991 Mathematics Subject Classification: 03B35 Mechanization of proofs and logical operations,