Miracle-dz/UniFAR-FTUs huggingface dataset:
A new automatic density cluster

Clustering is an important unsupervised learning approach with wide application in data mining, pattern recognition and intelligent information processing. Density clustering is a classical clustering method for handling with non-spherical clusters, besides density clustering could operate by itself without setting the number of clusters, so it is extensive used by us. But there are some avoidless defects, such as, for asymmetry density data the effect is unsatisfactory. This paper introduce a new automatic density cluster algorithm, it brings the neighborhood radius on behalf of the density, then it abandons “minPts”, so change the way to grabble clusters, the Clustering Results have a phanerous improvement.
What makes decision-making difficult for oncologists faced with critical situations? The socio-affective side of the physician–patient relationship

The aim of this qualitative study based on a Social Representations approach was to explore experienced oncologists’ representations of difficult decision-making situations. In total, 22 semi-structured interviews with oncologists were conducted and analysed by performing a thematic content analysis. The thematic content analysis brought to light the main medical problem involved such as uncertainty, the lethal nature of cancer and physicians’ specialties, as well as the psychosocial ones, such as patients’ non-medical characteristics and the patient–physician relationships. This analysis also showed the painful tensions experienced by specialists in the context of decision-making situations when the medical arguments conflict with the psychosocial ones. These findings suggest that in order to understand more clearly the complex processes involved in difficult medical decision-making situations, studies on physicians’ expertise should include the socio-affective climate involved in each patient–physician relationship.
A randomized controlled trial comparing EMDR and CBT for obsessive-compulsive disorder.

BACKGROUND This study aimed to evaluate eye movement desensitization and reprocessing (EMDR) as a treatment for obsessive-compulsive disorder (OCD), by comparison to cognitive behavioural therapy (CBT) based on exposure and response prevention. METHOD This was a pragmatic, feasibility randomized controlled trial in which 55 participants with OCD were randomized to EMDR (n = 29) or CBT (n = 26). The Yale-Brown obsessive-compulsive scale was completed at baseline, after treatment and at 6 months follow-up. Treatment completion and response rates were compared using chi-square tests. Effect size was examined using Cohen's d and multilevel modelling. RESULTS Overall, 61.8% completed treatment and 30.2% attained reliable and clinically significant improvement in OCD symptoms, with no significant differences between groups (p > .05). There were no significant differences between groups in Yale-Brown obsessive-compulsive scale severity post-treatment (d = -0.24, p = .38) or at 6 months follow-up (d = -0.03, p = .90). CONCLUSIONS EMDR and CBT had comparable completion rates and clinical outcomes.
Vulnerability testing in online shopping android applications

With the rapid growth of Android OS as major smartphone runner, the popularity of online shopping apps are also increasing. Various shopping based apps are available in the market which are eventually subjected to global network augmentation. Most of the apps require in-app transaction of money. So malicious program developers may sneak for vulnerabilities in the apps and try to exploit those risks to gain personal as well as financial information. In this paper, we have selected some popular online shopping android apps to carry out an empirical study to observe seven vulnerabilities. We have used quality tools to check for the vulnerabilities. We documented the results of our testing, showed the statistics and discussed possible measures to avoid those. Our results show that even popular apps like Amazon and Ebay are not free from vulnerabilities. This study will help the developers be more aware and in turn benefit the potential users.
Nonorganic insomnia in generalized anxiety disorder. 1. Controlled studies on sleep, awakening and daytime vigilance utilizing polysomnography and EEG mapping.

Objective and subjective sleep and awakening quality as well as daytime vigilance of insomniac patients with generalized anxiety disorder (GAD) were investigated, as compared with normal controls. Forty-four outpatients (25 females, 19 males), aged 24-65 (mean 43) years, diagnosed with non-organic insomnia (ICD-10: F 51.0), related to mild GAD (F 41.1), with a Hamilton anxiety (HAMA) score of 22 +/- 6 and a Zung self-rating anxiety (SAS) score of 37 +/- 6 were included. After 1 adaptation night, sleep induction, maintainance and architecture were measured objectively by polysomnography, subjective sleep and awakening quality were assessed by self-rating scales and visual analog scales, objective awakening quality was measured by a psychometric test battery, and diurnal tiredness was measured by a 3-min vigilance-controlled EEG (V-EEG) and a 4-min resting EEG mapping. In polysomnography patients demonstrated-as compared with normals-significantly increased wake time during the total sleep period and more early-morning awakening, decreased total sleep and sleep efficiency. Subjective sleep quality was deteriorated as well, as were well-being, drive, mood, and wakefulness in the morning. In noopsychic performance, GAD patients did rather well in attention, concentration, attention variability, and numerical memory, while fine-motor activity and reaction time were deteriorated. In psychophysiology, critical flicker frequency was decreased in the morning, while muscle strength, blood pressure and pulse rate showed no differences. EEG mapping during the late morning hours (10.00-12.00 h) demonstrated hypervigilance in the V-EEG, while in the resting recording an increased sleep pressure was detected. The latter was correlated significantly to the SAS score, but less so to the observer-rated Hamilton anxiety score. Our findings suggest that CNS hypervigilance and hyperarousal, as actual symptoms of GAD, lead to nocturnal insomnia, which in turn may cause-as a consequence of sleep pressure not slept off-diurnal tiredness.
The nearly complete mitochondrial genome of the rapid racerunner Eremias velox (Squamata: Lacertidae)

Abstract We report the nearly complete mitochondrial genome of the rapid racerunner, Eremias velox (Lacertidae), which is a circular molecule of 18,033 bp in size and consists of 13 protein-coding genes, 2 ribosomal RNAs, 22 transfer RNAs and a partial control region (2627 bp). The A + T content of overall base composition of H-strand is 58.0% (T: 27.7%, C: 28.3%, A: 30.3%, G: 13.7%). Some short microsatellite-like repeat regions (polyA and polyT) are scattered in the control region. All the results provide powerful data for further study of the molecular systematics, species identification and conservation genetics in this species and its congenators.
Proposal of l-diversity algorithm considering distance between sensitive attribute values

Consideration of privacy is crucial when sharing a database that contains personal information with other organizations. Many organizations have utilized personal information while realizing the importance of personal privacy protection by anonymizing personal information according to existing indicators, such as k-anonymity. A database with personal information is defined as satisfying l-diversity when a specific record group that has the same combination of quasi-identifiers (QIDs) holds at least / kinds of sensitive attribute value. By satisfying l-diversity, the identification probability of the individual's sensitive attribute value becomes less than 1/l, and it can be said that privacy is protected. The l-diversity has been widely studied in the area of privacy-preserving data mining. However, if a database containing certain personal information holds similar sensitive attribute values, there is a possibility that de facto diversity is not satisfied, even if anonymization is performed to satisfy l-diversity. In this research, we propose (l, d)-semantic diversity that is able to consider more actual diversity to solve the problem of not being able to satisfy de facto diversity with the existing indicator. The (l, d)-semantic diversity considers the similarity of sensitive attribute values by adding distances, d, defined using categorization. We also propose an anonymization algorithm and analysis algorithm suitable for the proposal indicator, and we conduct evaluation experiments.
An end-to-end neural network approach to story segmentation

This paper proposes an end-to-end story segmentation approach based on long short-term memory (LSTM) - recurrent neural network (RNN). Traditional story segmentation approaches are a two-stage pipeline consisting of feature extraction and segmentation, each of which has its individual objective function. In other words, the objective function used to extract features is different from the true performance measure of story segmentation, which may degrade the segmentation results. In this paper, we combine the two components and optimize them jointly, using an LSTM-RNN. Specifically, one LSTM layer is used to extract sentence vectors, and another LSTM layer is used to predict story boundaries by taking as input of the sentence vectors. Importantly, the whole network is optimized directly to predict story boundaries. We also investigate bi-directional LSTM (BLSTM) that can utilize past and future information in the process of extracting sentence vectors and story boundary prediction. Experimental results on the TDT2 corpus show that the proposed approach achieves state-of-the-art performance in story segmentation.
A Novel Mutation Q602STOP in Exon 12 of the FVIII Gene

Polymerase chain reaction (PCR) was used for amplification of exon 12 of the FVIII gene. We designed the following pair of PCR primers: forward primer: 5)-TATTTGATGAGAACCGAAGC-3), reverse primer: 5)-CCACCCACTGGACTTAAGTGC-3). PCR products were analysed by single-stranded conformational polymorphism (SSCP) [2] and visualised by silver-staining. Sample HA64 demonstrated a mobility shift and was sequenced by the dideoxynucleotide method using T7 SequencingTM Kit (Pharmacia Biotech) and 35[S]·-ATP. Prior to the sequencing reaction DNA strands were separated with the use of Streptavidine MagneSphere Paramagnetic Particles (Promega). Samples were run on 5% denaturating polyacrylamide gel.
Bronchial Blocker Versus Left Double-Lumen Endotracheal Tube for One-Lung Ventilation in Right Video-Assisted Thoracoscopic Surgery.

OBJECTIVE The aim of this study was to compare the quality of lung deflation of a left-sided double-lumen endotracheal tube (DLT) with a bronchial blocker (BB) for one-lung ventilation in video-assisted thoracic surgery (VATS). DESIGN A prospective, randomized, clinical study. SETTING A university-affiliated teaching hospital. PARTICIPANTS Forty-five adult patients undergoing esophageal tumor surgery using VATS with right lung deflation. INTERVENTIONS Patients were assigned by a computer-generated randomization sequence to either the left-sided DLT or BB group. The correct positioning of the airway device was confirmed using fiberoptic bronchoscopy. MEASUREMENTS AND MAIN RESULTS The variables assessed included: (1) time required to correctly place the devices and to achieve lung collapse; (2) the number of times the device malpositioned; (3) the quality of lung deflation as rated by the surgeon; (4) blood pressure and heart rate at baseline (T1), immediately before (T2) and after (T3) and 1 minute (T4) after intubation; (5) the number of patients with hypoxemia (SpO2 < 90%) during the one-lung ventilation (OLV) period; and (6) postoperative hoarseness of voice, sore throat, or pulmonary infection. Of the 45 patients approached for the study, 21 patients in the DLT group and 19 patients in the BB group were analyzed. The time required to place the device in the correct position was similar between the 2 groups. The time to achieve right lung collapse in the BB group was significantly longer (mean difference: 3.232, 95% confidence interval [CI]: 1.993-4.471; p = 0.003). The quality of lung collapse, OLV duration, number of patients with device malposition, and hypoxemia in both groups were similar. There were more patients suffering hoarseness (odds ratio [OR]: 4.85, 95% CI: 1.08-21.76; p = 0.034) or sore throat (OR: 4.29, 95% CI: 1.14-16.18; p = 0.030) in the DLT group, while no patients developed postoperative lung infection in either group. Compared to T1, systolic blood pressure (sBP), diastolic BP (dBP), and heart rate (HR) at T2 in both groups were higher (p < 0.05) in the DLT group. Then, compared to T2, sBP and dBP at T3 and T4 and HR at T3 in the DLT group were higher (p < 0.05). CONCLUSIONS The results of this study showed that BB is an effective alternative for left one-lung ventilation in right VATS, but requires a longer time to achieve complete lung collapse. Moreover, the use of BB caused less hemodynamic perturbation and can reduce postoperative hoarseness and sore throat.
The complete mitogenome of the Asiatic Salamander Batrachuperus tibetanus (Amphibia: Caudata: Hynobiidae)

Abstract Based on whole-genome Illumina sequencing data, the complete mitogenome of the Asiatic Salamander Batrachuperus tibetanus was reconstructed and characterized. The circular genome is 16,375 bp in length, and typically consists of 37 genes, including 13 protein coding genes (PCGs), 22 transfer RNAs (tRNAs), 2 ribosomal RNAs (rRNAs) and 1 D-loop region. Coding genes (PCGs, tRNAs & rRNAs) pieces is 15,460 bp in length, accounting for 94.41% of the total length of genome. The nucleotide composition is asymmetric (34.1% A, 19.5% C, 13.7% G, 32.7% T) with an overall GC content of 33.2%. Comparing our research data with predecessors' previous work, significant changes was found with 94.0% of whole genome sequence consistency percentage (Pairwise % Identity). We suggest our data would contribute to the evolutionary studies of this and related Asiatic Salamanders species.
Evidence for Novel Action at the Cell‐Binding Site of Human Angiogenin Revealed by Heteronuclear NMR Spectroscopy, in silico and in vivo Studies

A member of the ribonuclease A superfamily, human angiogenin (hAng) is a potent angiogenic factor. Heteronuclear NMR spectroscopy combined with induced‐fit docking revealed a dual binding mode for the most antiangiogenic compound of a series of ribofuranosyl pyrimidine nucleosides that strongly inhibit hAng's angiogenic activity in vivo. While modeling suggests the potential for simultaneous binding of the inhibitors at the active and cell‐binding sites, NMR studies indicate greater affinity for the cell‐binding site than for the active site. Additionally, molecular dynamics simulations at 100 ns confirmed the stability of binding at the cell‐binding site with the predicted protein–ligand interactions, in excellent agreement with the NMR data. This is the first time that a nucleoside inhibitor is reported to completely inhibit the angiogenic activity of hAng in vivo by exerting dual inhibitory activity on hAng, blocking both the entrance of hAng into the cell and its ribonucleolytic activity.
Oscillatory activity in the cortico‐basal ganglia‐thalamic neural circuits in Parkinson's disease

Dopamine is an important neurotransmitter that maintains the balance within the basal ganglia between the direct pathway, which promotes movement, and the indirect pathway, which inhibits movement. Degeneration of dopaminergic neurons in the substantia nigra increases the influence of the indirect pathway, resulting in motor dysfunction in Parkinson's disease (PD). The direct and indirect pathways are composed of basal ganglia and thalamic nuclei, which are interconnected via independent parallel loop circuits with cortical areas and often referred to as cortico‐basal ganglia‐thalamic (CBT) neural circuits. CBT circuits have been useful in generating hypotheses to describe slowness in PD. Recent work has focused on aberrant neural oscillations within CBT circuits. Although beta (13–30 Hz) oscillations are a common feature of the CBT network, there is growing evidence that abnormally exaggerated beta oscillations, observed after dopamine loss in the CBT circuits, may contribute to motor symptoms of PD. Disruption of abnormal beta oscillations has been associated with the improvement of motor functions during pharmacological treatments, surgical lesions, and electrical stimulation. However, it is not clear how abnormal oscillations originate in the CBT motor network and resonate specifically in the beta band after the loss of dopamine. Most studies have addressed these questions by simultaneous recordings of oscillations in the motor cortex, basal ganglia nuclei, and motor regions of the thalamus in animal models of parkinsonism as well as in PD patients. This review further discusses previous and current studies of the changes in oscillatory activity at the level of CBT neural network in PD.
CMFD: a detailed review of block based and key feature based techniques in image copy-move forgery detection

With the advancement of image editing tools in today's world, the manipulation of images like cropping, cloning, resizing, etc., becomes an easy proposition and on the other end, checking or determining whether an image has been manipulated or not, becomes a great challenge. Copy-move forgery in images is the most popular tampering method in which a portion of an image is copied and pasted in some other location of the same image. The detection of copy-move forgery has become a prominent research area. This study presents a detailed review and critical discussions with pros and cons of each of copy-move forgery detection techniques from 2007 to 2017. This study also addresses the variation in databases, issues, challenges, future directions and references in this domain.
Edge preserving image enhancement using median absolute deviation and iterative median absolute deviation

The aim of image enhancement is to produce a processed image which is more suitable than the original image for specific application. Application can be edge detection, boundary detection, image fusion, segmentation etc. In this paper different types of image enhancement algorithms in spatial domain are presented for gray scale images. Quantitative analysis like AMBE, MSE and PSNR for the different enhancement algorithms are evaluated. Algorithms like Linear contrast stretching, Fuzzy based image enhancement, and Local mean local standard deviation are discussed and compared. During result analysis, it has been observed that some algorithms do give considerably highly distinct values of PSNR, MSE and AMBE (parameters) for different images. To stabilize these parameters, a new enhancement scheme Median Absolute Deviation (MAD) is proposed, which will take care of these issues. By experimental analysis It has been observed that proposed method gives better AMBE (should be less) and PSNR (should be high) values compared with other algorithms, also these values are not highly distinct for different images. Also elapsed time taken by different algorithms to achieve desired application is recorded. MAD based image enhancement is faster also provides best values of MSE, PSNR and AMBE when applied on a database consisting of 400 images.
Current challenges and future prospects in oral anticoagulant therapy

The choice for oral anticoagulant (OAC) therapy was previously limited to the vitamin K antagonists (VKAs). The advent of the direct oral anticoagulants (DOACs) brought with it the expectation that oral anticoagulation would become simpler (with the elimination of routine monitoring and introduction of a fixed‐dose anticoagulant), and that the use of VKAs would be slowly phased out. Although DOACs have made anticoagulation more convenient and accessible, we are now faced with what can be described as a tyranny of choice, together with many unanswered questions relating to DOAC use. These include optimal DOAC selection and dosing, use in complex ‘real‐world’ patients, the role for monitoring and issues surrounding adherence. Warfarin remains the anticoagulant of choice in certain scenarios (e.g. metallic heart valves). The future holds much excitement: clinical studies are underway to expand the indications for DOACs and experience continues to grow outside the trials setting.
First-principles studies of chromium line-ordered alloys in a molybdenum disulfide monolayer

Density functional theory calculations have been performed to study the thermodynamic stability, structural and electronic properties of various chromium (Cr) line-ordered alloy configurations in a molybdenum disulfide (MoS2) hexagonal monolayer for band gap engineering. Only the molybdenum (Mo) sites were substituted at each concentration in this study. For comparison purposes, different Cr line-ordered alloy and random alloy configurations were studied and the most thermodynamically stable ones at each concentration were identified. The configurations formed by the nearest neighbor pair of Cr atoms are energetically most favorable. The line-ordered alloys are constantly lower in formation energy than the random alloys at each concentration. An increase in Cr concentration reduces the lattice constant of the MoS2 system following the Vegard’s law. From density of states analysis, we found that the MoS2 band gap is tunable by both the Cr line-ordered alloys and random alloys with the same magnitudes. The reduction of the band gap is mainly due to the hybridization of the Cr 3d and Mo 4d orbitals at the vicinity of the band edges. The band gap engineering and magnitudes (1.65 eV to 0.86 eV) suggest that the Cr alloys in a MoS2 monolayer are good candidates for nanotechnology devices.
A rapid, ratiometric, enzyme-free, and sensitive single-step miRNA detection using three-way junction based FRET probes

MicroRNAs (miRNAs) are single stranded endogenous molecules composed of only 18–24 nucleotides which are critical for gene expression regulating the translation of messenger RNAs. Conventional methods based on enzyme-assisted nucleic acid amplification techniques have many problems, such as easy contamination, high cost, susceptibility to false amplification, and tendency to have sequence mismatches. Here we report a rapid, ratiometric, enzyme-free, sensitive, and highly selective single-step miRNA detection using three-way junction assembled (or self-assembled) FRET probes. The developed strategy can be operated within the linear range from subnanomolar to hundred nanomolar concentrations of miRNAs. In comparison with the traditional approaches, our method showed high sensitivity for the miRNA detection and extreme selectivity for the efficient discrimination of single-base mismatches. The results reveal that the strategy paved a new avenue for the design of novel highly specific probes applicable in diagnostics and potentially in microscopic imaging of miRNAs in real biological environments.