Miracle-dz/UniFAR-FTUs huggingface dataset:
Unsupervised Machine Learning: K-means Clustering Velocity Semblance Auto-Picking

Summary Machine learning is becoming an attractive tool in various fields of earth sciences. During seismic data processing, velocity auto-picking can reduce time consumed on processing large volumes of seismic data and increase the number of velocity semblances which will be picked in a 3D seismic survey. In this paper, a new velocity auto-picking method on the base of unsupervised machine learning was proposed, a guide velocity as a constraint to pre-processing the velocity semblance was introduced and K-means clustering had been used to accomplish the velocity auto-picking. Real data processing shows that the proposed method is accurate and stable. The proposed method in the future will help geophysicist potentially reduce time spent on velocity semblance picking and obtain the relatively accurate time-velocity pairs effectively.
The Platform of Chinese Discourse Structure Analysis based on Connective-driven Dependency Tree

中图分类号:TP391 文献标识码:A The Platform of Chinese Discourse Structure Analysis based on Connective-driven Dependency Tree LI Yancui1, 2, SUN Jing2, FENG Wenhe3, ZHOU Guodong2* (1. School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, Henan 453003, China; 2. School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu 215006, China; 3. College of Humanities, Henan Institute of Science and Technology, Xinxiang 453003, China) Abstract: We give a platform of Chinese discourse structure analysis based on Connective-driven Dependency Tree representation corpus. The corpus is based on connective-driven dependence tree representation system, which contains clause, connective, discourse relation, discourse structure et al. Based on this corpus, this paper presents a Chinese discourse parser, which consists of EDU segmentation, connective recognition, implicit relation recognition, discourse center recognition and discourse structure construction. Finally, the experimental results of each sub task and the overall performance of the Chinese discourse structure analysis are given.
MUTATIONAL , PHYLOGENY AND EVOLUTION ANALYSES OF SALVIA COPALYL DIPHOSPHATE SYNTHASE

The cyclization of geranylgeranyl diphosphate (GGPP) is catalyzed by copalyl diphosphate synthase (CPS), a class II diterpene synthase (diTPS), to form copalyl diphosphate (CPP), which is an essential substrate of a variety of diterpenes in secondary metabolism of angiosperm including Salvia medicinal plants. The protein environment of the N-terminal class II active site stabilizes the carbocation intermediates and maintains the catalytic activity of angiosperm class II diTPS. The virtual modeling and mutagenesis of the class II diTPS of Salvia miltiorrhiza (SmCPS) were accomplished to illuminate the catalytic activity of SmCPS. Terminal truncations and point mutations established the role of the βγ domain and α domain, i.e., they facilitate the flexible conformational change of the class II active site after substrate binding. E203 and K238 in the N-terγ domain of SmCPS1are functional in the substrate binding and conformational transition and might be essential in catalysis. Similar to other CPSs, the ensuing protonation of the GGPP substrate and coordination of the diphosphate group are governed by highly conserved residues in the DxDD motif of SmCPS, e.g., D372 of CPS1. Moreover, F256 andY505stabilize the carbocation and control the enzymatic activity during CPP formation. The amino acids of the predicted active sites, despite under purifying selection, vary greatly, corresponding to the functional flexibility of angiosperm CPSs. Molecular phylogeny and evolution analyses suggest early and ongoing evolution of labdane-related diterpenoid metabolism in angiosperm.
lwIP : Light Weight IP

lwIP is a smaller independent implementation of the TCP/IP protocol stack used mainly in limited resources systems such as embedded systems. The aim of the lwIP stack is to primarily reduce the memory usage and code size while still retaining full scale TCP/IP functionality. This is achieved using a special API that omits the need for data copying. The following paper gives a brief overview of the lwIP protocol stack and its design and implementation.
Theoretical Computation of Lowest Electronic States of Three alkaline-earths

-The lowest potential energy curves for the electronic states of the molecules BeH, MgH, and SrH in the representation Λ have been investigated using the Complete Active Space Self Consistent Field (CASSCF) method with Multi Reference Configuration Interaction (MRCI). The internuclear distance Re, the harmonic frequency ωe, the rotational constants Be and the electronic transition energy with respect to the ground state Te have been calculated for the considered electronic states. The comparison between the values of the present work and those available in the literature for several electronic states shows a very good agreement. New electronic states are reported here for the first time that are not yet observed experimentally. Key-Words: ab initio calculation; electronic structure; spectroscopic constants; potential energy
Hypoxia-inducible factor-1 mediates the biological effects of oxygen on human trophoblast differentiation through TGF b 3

During early pregnancy, placentation occurs in a relatively hypoxic environment that is essential for appropriate embryonic development. Intervillous blood flow increases around 10 to 12 weeks of gestation and results in exposure of trophoblast cells to increased oxygen tension. Before this time, low oxygen appears to prevent trophoblast differentiation toward an invasive phenotype. Using human villous explants of 5–8 weeks’ gestation, we found that low oxygen tension triggered trophoblast proliferation, fibronectin synthesis, a5 integrin expression, and gelatinase A activity. These biochemical markers were barely detectable under oxic conditions. We therefore examined the placental expression of hypoxia-inducible factor-1 (HIF-1), a master regulator of oxygen homeostasis, and determined that expression of HIF-1a subunit during the first trimester of gestation parallels that of TGFb3, an inhibitor of extravillous trophoblast differentiation. Expression of both molecules is high in early pregnancy and falls around 9 weeks of gestation, when placental pO2 levels are believed to increase. Increasing oxygen tension induced a similar decrease in expression in cultured explants. Moreover, antisense inhibition of HIF-1a expression in hypoxic explants inhibited expression of TGFb3, arrested cell proliferation, decreased a5 expression and gelatinase A activity, and triggered biochemical markers of an invasive trophoblast phenotype such as a1 integrin and gelatinase B expression. These data suggest that the oxygen-regulated early events of trophoblast differentiation are in part mediated by TGFb3 [. ] Article
- 1-0-days & Mitigations : Roadways to Exploit and Secure Connected BMW Cars

In years 2016 and 2017, Keen Security Lab[1] has demonstrated two remote attacks against Tesla Model S/X[2][3]; During a study conducted between early 2017 and early 2018, Keen Security Lab successfully implemented exploit chains on multiple BMW car models through physical access and a remote approach without user interaction. At that time, following a responsible disclosure procedure common in the security industry, Keen Security Lab released a security assessment report[4] to make a brief vulnerabilities disclosure, instead of a full disclosure. The security findings by Keen Security Lab were verified by BMW shortly after having received. All issues were addressed, and fixes and mitigations have been rolled out. In this paper, we will share the findings with the public, introducing system architecture of BMW cars, analyzing external attack surfaces from a security perspective. We will then give details about multiple vulnerabilities that existed in two vehicle components: NBT Head Unit[5] (a.k.a. In-Vehicle Infotainment[7]) and Telematic Communication Box[8]. By having leveraged these vulnerabilities, it has proven the possibilities of arbitrary code execution in the Head Unit via common external interfaces including USB, Ethernet and OBD-II, as well as a more powerful remote exploitation of Telematic Communication Box over a fake mobile network with the payload delivered in HTTP and Short Message Service (SMS). Furthermore, we will also explore the Controller Area Network (CAN) of BMW cars and analyze how it was possible to combine logic flaws in the Central Gateway to trigger arbitrary, unauthorized diagnostic vehicle functions remotely using CAN messages from both Infotainment System and Telematic Communication Box. Finally, we will summarize exploit chains, and together with BMW Group security experts, we are going to present details on analysis, validation and roll-out of countermeasures. The countermeasures against remote attacks were rolled out by the BMW Group during summer 2018 and additional software updates have been made available for affected vehicles at dealers or via USB update free of charge.
Standardized Organizational Evaluation Based on Quantity , Quality and Effective Evaluation Model

This evaluation is based on the measurement model of the system engineering theory and methods, design, and puts forward a standardized organization and based on the quantity, quality, and effective model. Based on this model, the evaluation index system is established. The research shows that throughout this model, the overall evaluation of the work performance of the organization can be achieved with a quantitative approach to support the specialization of experts to achieve a qualitative evaluation, in order to promote organizational evaluation to become more scientific, criterion and standardized.
When visual search target is rare: overweighting or under weighting the probability?

The prevalence of items in visual search may have substantial performance consequences. In laboratory visual search tasks in which the target is rare, viewers are likely to miss the target. A dual-threshold model proposed by Wolfe and Van Wert (2010) assumes that in the low prevalence condition, viewers shift their criteria resulting in more miss errors. However, from the prospective of prospect theory (Kahneman & Tversky, 1979), decision makers tend to overweight small probability. To explore how viewers subjectively weight the probability in the low prevalence visual search task, we compared viewers’ criteria with the optimal criteria by presenting different probability descriptions for a fixed prevalence rate. The data from this experiment indicated that target presence had an effect on viewers’ accuracy and response times but not probability descriptions. Viewers’ criteria under different probability descriptions were higher than optimal. These results are in accordance with the dual-threshold model assumption that viewers respond “target absent” more frequently than optimal, leading to more miss errors in the low prevalence condition.
perswade : Application _ Area perswade : Health perswade : Food perswade : Water ... . rdf : type perswade : Priority perswade : Domain rdf :

The Centre on Persuasive Systems for Wise Adaptive Living (PERSWADE) aims at developing and applying persuasive technologies and system science for social innovation that can help humanity to move toward sustainable, wise, adaptive living. The PERSWADE collaborative knowledge base needs to be designed with the intent to bring together, enrich and logically relate heterogeneous content, such as datasets, scientific literature and any kind of multimedia and social content, to support a participatory approach and help to translate science into action. PERSWADE-CORE, the foundation ontology described in this paper, plays a critical role in this by providing the backbone semantic infrastructure to enable collaboration through efficient data and knowledge integration, sharing and reuse. It also serves the purpose of clarifying and explaining the goals, functions and operations of the Centre. Because of its purpose, PERSWADE-CORE has been designed to be easy-to-use and easy-to-adapt by allowing generic, as well as more specific, relationships among concepts. The PERSWADE approach prioritizes interoperability and relies on the Semantic Web infrastructure. Furthermore, its design is intrinsically aimed at collaborative environments in which ontologies are expected to evolve as a response to users’ activity. INDEX TERMS Ontology Design, Semantic Web, Persuasive Systems, Knowledge Sharing, Transdisciplinary, Knowledge base, Collaborative Environment
Registration Issues in Augmented Reality

Augmented reality (AR) as a future interactive technology is currently on the way from laboratory to market. Registration as the key technique highly affects how successful a virtual object is superimposed on the real world. This paper reviewed the development of three type of registration methods, which are sensor-based, marker-based and maker-less registration, and their characteristics. A brief comparison of these three registration methods was conducted after the review, which indicates that marker-less registration is likely the most advanced and adaptive technique for future AR applications. Finally, two potential research orientations to enhance the performance of marker-less registration to realise commercial AR products, including deploying advanced computational graphic algorithms and deploying correction techniques based on sensor data, were proposed. Keyword – Augmented reality, Registration, Fiducial marker, Natural feature tracking
Practical Oracle Security: Your Unauthorized Guide to Relational Database Security

This is the only practical, hands-on guide available to database administrators to secure their Oracle databases. This book will help the DBA to assess their current level of risk as well as their existing security posture. It will then provide practical, applicable knowledge to appropriately secure the Oracle database. The book’s companion Web site contains dozens of working scripts that DBA’s can use to secure and automate their Oracle databases. * The only practical, hands-on guide for securing your Oracle database published by independent experts. * Companion Web site contains dozens of scripts to help you automate security tasks. * Your Oracle database does not exist in a vacuum, so this book shows you how to securely integrate your database into your enterprise.
Identifying cognitive distortion by convolutional neural network based text classification

Cognitive distortions have a way of playing havoc with our lives. The most important step to untwist the irrational thinking is identifying the forms of the cognitive distortion. The daily narration or diaries of the patients are always used by the cognitive-behavioral therapists as a clue to identify the cognitive distortion. But these natural language materials are always diverse and desultory which affect the efficiency and accuracy of identification. In this research, we propose a model called ICODLE (Identifying Cognitive Distortion by Deep Learning) which utilizes the daily narration or diaries of the patients to identify the forms of the cognitive distortion. ICODLE collect the daily narration and diaries from the authoritative books and webpages in CBT (Cognitive-Behavioral Therapy) domain. Then ICODLE creates the database of the 10 forms of cognitive distortion which were defined by David D. Burns. By utilizing the advanced deep learning techniques (e.g., Word Embedding, CNN (Convolutional Neural Network), etc.), ICODLE can identify the forms of the patients' cognitive distortions without the features extraction. ICODLE can effectively assist the patients and the cognitive-behavioral therapists to diagnose the cognitive distortions. ICODLE also benefit to build up the online persuasion system.
Correlation between the diagnostic accuracy of the electrocardiogram and coronary angiography in localization of occluded artery in acute ST-elevation myocardial infarction: A single-center experience

Background: The electrocardiogram (ECG) remains the crucial tool in the diagnosis of acute ST-elevation myocardial infarction (STEMI) other than coronary angiography (CAG). However, the specificity of the ECG in culprit vessel localization is limited due to the individual variations in coronary anatomy as well as by the presence of preexisting coronary artery disease. The current observational study was designed to establish the correlation between the diagnostic accuracy of ECG with CAG to predict the culprit artery in STEMI. Materials and Methods: A total of 140 consecutive STEMI (ST elevation of >2 mm in at least 2 contiguous leads) patients were enrolled over 1.5 years at a tertiary care center in India. Based on ECG criteria, evaluated by blinded observer, patients were categorized into anterior, inferior with or without right ventricular infarction, and posterior wall myocardial infarction. Each group was further divided based on the culprit artery. Results: A total of 96 (68.6%) were males and 109 (77.9%) were 51–70 years. ECG showed perfect agreement (κ = 0.895, 0.882, and 0.853, respectively) with CAG in the diagnosis of proximal left anterior descending (LAD), proximal right coronary artery (RCA), and mid and distal RCA. It showed just fair agreement (κ = 0.348) with CAG in the diagnosis of distal LAD. Moreover, ECG showed perfect agreement (κ = 1) with CAG in the identification of both LAD proximal to D1 and distal to S1 and left circumflex artery. Conclusion: In STEMI patients, the diagnostic accuracy of ECG exhibits good correlation and agreement with CAG to predict the culprit vessels except for distal LAD.
Association between reduced brain-derived neurotrophic factor concentration & coronary heart disease

Background & objectives: Brain-derived neurotrophic factor (BDNF) facilitates neuronal survival, differentiation and synaptic connectivity and affects neurotransmission throughout the brain. However, it has also a modulatory role in energy homeostasis, obesity and cardiovascular function. Obesity, high body mass index (BMI) and dyslipidaemia, among other factors, contribute to coronary heart disease (CHD) development. The exact role of BDNF in development of CHD is not well defined. This study was aimed to evaluate if plasma BDNF concentration was associated with CHD in ethnically homogeneous groups of patients and to correlate plasma BDNF levels with known risk factors for CHD. Methods: Plasma BDNF concentration, BDNF Val66Met polymorphism and other biological and anthropological risk factors for CHD were determined in 208 patients with CHD and 156 healthy controls. Results: Plasma BDNF concentration was significantly (P <0.01) reduced in patients with CHD compared to controls, and it was not influenced by gender, age, smoking or BDNF Val66Met polymorphism. It was considerably correlated with cholesterol (P=0.004), low-density lipoprotein (P=0.006), and diastolic blood pressure (P=0.018) in patients with CHD and with platelet number (P=0.003) in healthy controls. Interpretation & conclusions: The results revealed lower plasma BDNF concentration in patients with CHD, suggesting that decreased plasma BDNF concentration might be associated with CHD pathogenesis. Longitudinal studies with a large sample need to be conducted to confirm these findings.
Advances in genetic studies related to polycystic ovary syndrome in the post-genome-wide association studies era

Polycystic ovary syndrome (PCOS) is a common endocrine disorder characterized by reproductive and metabolic dysfunction with a genetic predisposition evidenced by familial clustering and twin studies. Patients with PCOS often produce oocytes of poor quality, leading to lower rates of fertilization, cleavage, and implantation, but higher rates of miscarriages and long-term complications. However, the etiology of PCOS still remains uncertain due to unavailability of unified diagnostic criteria and prevalence of clinical heterogeneity. Owing to advances in technology and methods employed for research, large-scale genetic/other studies have provided many new insights into the genetic pathogenesis of PCOS. However, although genome-wide association studies have been conducted, we still need to evaluate the association between specific loci and their relevance in the manifestation of this disease. In this article, we have presented a review of the recent studies.
Corneal transplantation in the modern era

Corneal blindness is one of the major causes of reversible blindness, which can be managed with transplantation of a healthy donor cornea. It is the most successful organ transplantation in the human body as cornea is devoid of vasculature, minimizing the risk of graft rejection. The first successful transplant was performed by Zirm, and since then, corneal transplantation has seen significant evolution. It has been possible because of the relentless efforts by researchers and the increase in knowledge about corneal anatomy, improvement in instruments and advancements in technology. Keratoplasty has come a long way since the initial surgeries wherein the whole cornea was replaced to the present day where only the selective diseased layer can be replaced. These newer procedures maintain structural integrity and avoid catastrophic complications associated with open globe surgery. Corneal transplantation procedures are broadly classified as full-thickness penetrating keratoplasty and partial lamellar corneal surgeries which include anterior lamellar keratoplasty [sperficial anterior lamellar keratoplasty (SALK), automated lamellar therapeutic keratoplasty (ALTK) and deep anterior lamellar keratoplasty (DALK)] and posterior lamellar keratoplasty [Descemet stripping automated endothelial keratoplasty (DSAEK) and Descemet membrane endothelial keratoplasty (DMEK)] broadly.
Measurement of exposed carbon (II) oxide and air particulate matter concentrations in aba metropolis

Purpose: This study measured the level of air pollution; carbon monoxide (CO) and air particulate matter caused by human activities in Aba metropolis. Ten sample locations were selected from the most busy and populated part of the city (Aba South), based on human activities such as burning of tires, wood, rubber materials, construction and factory activities, vehicular emission, and the use of combustion engines. Material and Methods: Level of pollution was measured in the ten sample locations using Gasman air monitor for CO and Haz-Dust monitor for perticulater matter; once a week, twice a month (the 1st and 4th week) for 4 months. Results: Data collected were analyzed using one-way analysis of variance; the highest mean average value of 66.81 ppm was recorded in Water Side Junction, 4.508 ppm in Asa/Azikiwe Junction, 42.506 and 42.166 ppm in Main Park and Ngwa Road Junction, 39.667 ppm in Opopo Junction, 36.009 ppm in Portharcut Road Junction, 35.833 in New Market Road Junction, 33.833 ppm in Milverton Junction, whereas 33.666 ppm in Bata Junction was recorded as the lowest mean value of CO. PPM gave an average mean value between 4.921 μg/m3 and 5.415 μg/m3. Conclusion: The result then indicates CO pollution in the sampled locations.