Miracle-dz/UniFAR-FTUs huggingface dataset:
Sudden Intraventricular Conduction System Defect Prior to Urgent Coronary Artery Revascularization

Intraventricular conduction abnormalities have been thoroughly described in the setting of post cardiac surgery in particular after valvular surgery. It’s also widely known that several anaesthetic factors are known to cause autonomic disturbances resulting in unmasking of a sinus node dysfunction, significant bradycardia, and cardiovascular collapse during the intraoperative period. However, little is known on asymptomatic episodes in particular prior to CABG. We report a rare occurrence of intraventricular conduction defect that presented in an asymptomatic patient following NSTEMI and prior to urgent coronary artery revascularization. We aim to highlight the measures that were taken to manage this.
Sustainability of cyber-physical systems in the context of targeted destructive influences

In this paper authors propose a new approach to security assesment for cyberphysical systems. Existing security methodology applicable to information systems is ineffective for cyberphysical systems, which consists of information and physical components. Authors formulate requirements for security assesment taking into account key characteristics of cyberphysical systems. Analysis of scientific research devoted to development of a security assessment for cyberphysical systems has demonstrated their inconsistency with the formulated requirements. Authors propose a new assessment of cyberphysical systems security in the form of cyber-sustainabilty, which ensures retention of system in a stable steady state under destructive influence. Authors also propose a computational measure for assessing cyber-sustainability, based on self-similarity assessment. As a numerical measure, the Hurst exponent was chosen. Conducted experimental tests demonstrated effectiveness of proposed approach and high sensitivity of the Hurst exponent to destructive influence on cyberphysical systems.
Malware detection for multi cloud servers using intermediate monitoring server

Malware protection is more required for secured protection on cloud networks, it imposes a critical threat to network security. Due to very limited malware protection i.e., only PC based protection is upto date. In this paper, it enhanced and designed an intermediate malware protection for malware propagates in cloud networks from a global perspective. Research provides various layered protection for formulating the problem, and establish a rigorous multi layer epidemic model for malware propagation from network to network. In this work the problem was formulated by establishing a rigorous two layered epidemic model for malware propagation from network to network. Designing Intermediate Malware Monitoring & removal for multi cloud servers. In Malware Monitoring, you get continuous monitoring of any potential issue by utilizing a scanning service that identifies all types of virus, malware which are spread through various websites. In our proposed system we design detection of malware for multi cloud servers using a intermediate monitoring server, any file transmission to multi clouds should be scanned by intermediate server, providing scanning, detection and removal of malware before transmitting to cloud servers.
Investigation on Applicability and Suitability of Micro Cantilever Based Biosensors for DNA Detection

A micro cantilever is an extreme sensitive bio sensing transducer responding to detection of the target molecules in nano scale unit [1,2]. Generally, this device consists of a tiny horizontal beam which is fixed on the supporting material at one end of this beam. Another end is normally free for spatial movement according to the molecular interaction at biological recognition area on the beam surface. Micro cantilever-based biosensors have attracted much attention due to their small size, low cost, fast response, high sensitivity, and suitability for parallelization into arrays [3-5]. The biosensors are generally operated in two modes: static bending and dynamic resonance frequency shift [6]. The current methods for measuring micro cantilever bending involve optical, interferometer, piezo resistive, and capacitive detection technologies [7]. In the static case, label-free biosensors have provided common platforms for DNA hybridization [8], biotin-antibody binding [9], and BRAF mutation in RNA from melanoma cells [10]. Biological interaction between target molecules in analyzed samples and specific capture molecules immobilized on a surface of the beam induces structural bending. Deflection length of the micro cantilever beam can be measured by an optical device as found in Atomic Force Microscopy (AFM) application [11-15]. Optical-based detection offers very high sensitivity in determining a deflection length. However, this system requires great precision of the external readout device, laser source assembly, and position sensitive photo detector (PSD) which increases both cost and size of the whole device. A micro cantilever integrated with an embedded piezo resistive material serves as an inexpensive and portable micro cantilever biosensor platform [16,17]. Deflection length of this device is monitored by using the resistance change of piezo resistive material due to structural bending of piezo resistive material inside the beam [18,19]. Several previous studies developed piezo resistive micro cantilever-based DNA sensors to detect the short piece of synthetic DNA targets [8,2022].
Photovoltaic systems with rotational panels to harvest natural and artificial light for electrical production

Regarding the fact that huge amount of non-renewable energy is extracted, distributed, converted and consumed for electrical demands in the Building-Integrated Photovoltaic systems, using the rotational photovoltaic panels as a source of energy would be more convenient. Optimization of this system which harvests outdoor natural light and indoor artificial light is an enormous need to maximize the solar panel efficiency. In this paper to achieve the main purpose, an experimental attempt has been made to model the wall and window built PV system as economical as possible. The performance of this model is carried out on the facade of buildings with a Manual switch for rotation. The result of this experiment has shown that the system is more efficient.
A hybrid GA-GSA noval algorithm for data clustering

Clustering is widely used in data mining and machine learning to group the objects of a given dataset based on similarities between data without using any previous knowledge for the purpose to extract the crucial information. In this paper a noval clustering algorithm is developed by integrating two well known optimization technique “genetic algorithm (GA) and gravitational search algorithm (GSA)”. Hybrid GA-GSA performance is tested against K-means, GA and GSA clustering algorithm for seven popular dataset iris, wine, breast cancer, vowel, crude oil, glass and cmc taken from uci machine learning repository over three criterion i.e. sum of intra cluster distance, error rate and CPU execution time. Experimental results tabulated in Table II–V show hybrid GA-GSA algorithm for clustering is a better technique against K-means, GA and GSA.
Line of sight stabilization of two-dimensional gimbal platform

The LOS stabilization control based on gyroscopic stabilized staging is required to disengage the line of sight from the movement and jitter in the carrier and also ensure smooth tracking of target in electro-optical tracking systems. This paper presents a detailed comparison of linear controllers and an intelligent controller (Lead-Lag, Proportional-Integral-Derivative (PID) and Fuzzy Logic controller) for the above mentioned system. The overall control systems have been simulated using MATLAB/Simulink.
Occlusal trauma and excessive occlusal forces: Narrative review, case definitions, and diagnostic considerations

OBJECTIVES This narrative review determines the effects of occlusal trauma and excessive occlusal forces on the periodontium, including the initiation and progression of periodontitis, abfraction, and gingival recession. Case definitions, diagnostic considerations, and the effects of occlusal therapy are also reviewed and discussed. IMPORTANCE The role of occlusal trauma in the initiation and progression of periodontitis remains a controversial subject in periodontology. Because occlusal trauma can only be confirmed histologically, its clinical diagnosis depends on clinical and radiographic surrogate indicators which make clinical trials difficult. FINDINGS Investigations have generally agreed that occlusal trauma and excessive occlusal forces do not initiate periodontitis or loss of connective tissue attachment. When plaque-induced periodontitis and occlusal trauma are present at the same time, there is weak evidence that the occlusal trauma may increase the rate of connective tissue loss. Occlusal therapy is indicated as part of periodontal therapy to reduce mobility and increase patient comfort and masticatory function. Existing data do not support the existence of abfraction as a cause for gingival recession. CONCLUSIONS Occlusal trauma does not initiate periodontitis, and there is weak evidence that it alters the progression of the disease. There is no credible evidence to support the existence of abfraction or implicate it as a cause of gingival recession. Reduction of tooth mobility may enhance the effect of periodontal therapy.
Glutamate and GABA concentrations following mild traumatic brain injury: a pilot study.

Animal models of mild traumatic brain injury (mTBI) suggest that metabolic changes in the brain occur immediately after a mechanical injury to the head. Proton magnetic resonance spectroscopy (1H-MRS) can be used to determine relative concentrations of metabolites in vivo in the human brain. The purpose of this study was to determine concentrations of glutamate and GABA in the brain acutely after mTBI and throughout 2 mo of recovery. Concentrations of glutamate and GABA were obtained using 1H-MRS in nine individuals who had suffered an mTBI and nine control individuals in two brain regions of interest: the primary motor cortex (M1), and the dorsolateral prefrontal cortex (DLPFC), and at three different time points postinjury: 72 h, 2 wk, and 2 mo postinjury. There were no differences between groups in concentrations of glutamate or GABA, or the ratio of glutamate to GABA, in M1. In the DLPFC, glutamate concentration was lower in the mTBI group compared with controls at 72 h postinjury (d = 1.02), and GABA concentration was lower in the mTBI group at 72 h and 2 wk postinjury (d = 0.81 and d = 1.21, respectively). The ratio of glutamate to GABA in the DLPFC was higher in the mTBI group at 2 wk postinjury (d = 1.63). These results suggest that changes in glutamate and GABA concentrations in the brain may be region-specific and may depend on the amount of time that has elapsed postinjury. NEW & NOTEWORTHY To our knowledge, this is the first study to examine neurotransmitter concentrations in vivo at multiple time points throughout recovery from mild traumatic brain injury in humans.
Lossless compression of point-based data for 3D graphics rendering

A lossless compression algorithm of 3D point data is proposed in this work. QSplat is one of the efficient rendering methods for 3D point data. In QSplat, each point is assigned a sphere, and the geometry and normal data are stored in the hierarchical structure of bounding spheres. To compress QSplat data, child spheres are sorted based on their limit radii to constrain the indices for the geometry data. Then, the radii and the positions of spheres are encoded separately using the reduced index sets. Also, each normal is encoded using the parent normal context, and the normal indices are reduced by the normal cone information. Simulation results show that the proposed algorithm achieves a high compression ratio by combining the reduced index sets with the context-based entropy coding.
Chapter 1:Transport of Ions, DNA Polymers, and Microtubules in the Nanofluidic Regime

Nanofluidic devices provide an arena for interesting science and new technological applications. We review experimental work that illustrates qualitative differences in the behavior of ions, polymers, and molecular motors at the nanoscale as compared with their behavior at macroscopic scales. Ionic transport is governed by the surface charge density inside a nanofluidic device and the overlap of Debye screening layers becomes significant. Furthermore, pressure-driven fluid flows entrain significant ionic streaming currents, and this electrokinetic effect has been used to probe the phenomenon of surface charge inversion and to harness mechanical work and convert it into electrical power. Polymers like DNA must pay an entropic penalty under nanofluidic confinement, which governs its configurational statistics, and in turn influences DNA's transport characteristics in pressure-driven fluid flows and in more complex electrokinetic flows driven by electric fields. Finally, the molecular motor kinesin has been incorporated into fluidic devices in order to drive the motion of microtubules. Within a network of fluidic channels, electric fields can be applied to steer and sort kinesin-driven microtubules, and to probe the mechanical bending of single microtubules.
Accurate Smartphone Indoor Visual Positioning Based on a High-Precision 3D Photorealistic Map

Indoor positioning is in high demand in a variety of applications, and indoor environment is a challenging scene for visual positioning. This paper proposes an accurate visual positioning method for smartphones. The proposed method includes three procedures. First, an indoor high-precision 3D photorealistic map is produced using a mobile mapping system, and the intrinsic and extrinsic parameters of the images are obtained from the mapping result. A point cloud is calculated using feature matching and multi-view forward intersection. Second, top-K similar images are queried using hamming embedding with SIFT feature description. Feature matching and pose voting are used to select correctly matched image, and the relationship between image points and 3D points is obtained. Finally, outlier points are removed using P3P with the coarse focal length. Perspective-four-point with unknown focal length and random sample consensus are used to calculate the intrinsic and extrinsic parameters of the query image and then to obtain the positioning of the smartphone. Compared with established baseline methods, the proposed method is more accurate and reliable. The experiment results show that 70 percent of the images achieve location error smaller than 0.9 m in a 10 m × 15.8 m room, and the prospect of improvement is discussed.
Role of Preimplantation Genetic Diagnosis (PGD) in Current Infertility Practice

Chromosome imbalances are the leading cause of pregnancy loss in humans and play major roles in male and female infertility. Within the past two decades, the development and application of preimplantation genetic diagnosis (PGD) has played an important role in infertility practices worldwide. The purpose of this review is to discuss, how PGD may be applied in combating numerical chromosomal abnormalities and in Robertsonian and reciprocal chromosome translocations. We shall consider prevalence and risk of each aberration, interchromosomal effects and rationale behind use of PGD in each case. Numerical chromosome abnormalities (aneuploidy and polyploidy) in particular affect a very high proportion of preimplantation embryos (~ 50%). Given that a majority of preimplantation embryos are aneuploid, PGD can be used to screen embryos and transfer euploid embryos to improve pregnancy rates and reduce spontaneous abortions. The rationale of utilize PGD to transfer only euploid embryos would seem sound, but controversies exist surrounding application of PGD for aneuploidy detection. To this end, we will discuss the dichotomy between favorable descriptive reports and less favorable randomized clinical trial data. This review will discuss the trend towards differing sources of embryonic DNA (e.g. polar body vs blastomere vs blastocyst) as well as development of novel technologies for 24 chromosomes analysis.
Robust approaches, techniques and tools for requirement engineering in agile development

Finding correct requirements, analyzing, documenting and validating requirements are necessary practices in all software development approaches including agile development. This paper provides a better understanding to handle the software requirements in agile development through different models, tools and techniques. It analyzes these instruments and methods to talk about issues worried about the selection of requirements engineering exercises in an agile software advancement process. It proposes a few changes to illuminate a few difficulties in the requirements engineering process in agile software advancement.
Clinical Characteristics and Outcome of Children With Relapsed Medulloblastoma: A Retrospective Study at a Single Center in China

Relapsed medulloblastoma (MB) has a dire prognosis, and chemotherapy remains the main therapeutic option. We retrospectively analyzed the clinical characteristics and survival rates of 60 Chinese children with relapsed MB. The patients received 11 cycles of chemotherapy in sequence, followed by 12 cycles of oral temozolomide and etoposide. Thirty patients were simultaneously administered intrathecal methotrexate (IT-MTX). The Kaplan-Meier method was used to determine survival rates; the patients’ median survival time after relapse was 2.8 years, 5-year progression-free survival (PFS) and overall survival (OS) rates were 26.7%±5.7% and 31.6%±6.9%, respectively. There was no significant difference between these rates according to histology or molecular subgroup. Tumor cells were detected in the cerebrospinal fluid of over 40% of patients; such patients had significantly shorter OS and PFS rates. Patients who received IT-MTX showed significantly longer survival than those who did not (3.73 vs. 2.06 y, respectively, P=0.000); the corresponding 5-year PFS and OS rates were 43.3%±9.0% versus 10.0%±5.5% and 49.5%±11.1% versus 14.6%±6.9%, respectively (P=0.000). In addition, tumor cell-positive cerebrospinal fluid and IT-MTX use significantly influenced PFS and OS in relapsed patients. Taken together, our data show that IT-MTX improves the survival of patients with relapsed MB.
Stereochemistry (and Conformation) of Nucleosides and Their Synthetic Precursors by Vibrational Circular Dichroism

The chemistry of artificial nucleosides is associated with the difficulties in the characterization of the stereochemistry and conformation of their furanose ring moiety. This unit describes how to use vibrational circular dichroism (VCD) spectroscopy to identify the three‐dimensional structure of nucleosides. The experimental part of this protocol is dedicated to obtain a VCD spectrum of a sample with high S/N ratio. The computational part generally starts with a conformational search using molecular mechanics and the following structural optimization by density functional theory calculation. Then, theoretical VCD spectra of stable conformers are calculated and averaged on the basis of their Boltzmann population. Finally, the obtained experimental and theoretical VCD spectra are compared qualitatively or quantitatively. The agreement between these spectra leads to determination of the stereochemistry of the studied molecule. This protocol may also be useful for analyzing the conformation of nucleosides. © 2018 by John Wiley & Sons, Inc.
Reshaped digital image watermarking via adaptive logo texturization

Watermarking is a process of hiding digital data in a carrier signal and the hidden data should, however doesn't need to, contain a relation to the carrier signal. Grey scale logo watermarking comes beneath the digital watermarking that implants the smaller logo into another host image. The key advantage is that the power to visually analyse the extracted logo for quick visual authentication and different visual tasks. The most aim of invisible watermarking applications is to make the watermark invisible within the host image whereas at the same time maintaining robustness to variety of geometrical and non-geometrical attacks. This algorithm presents a formula for invisible grey scale logo watermarking that operates via texturization of the logo. The central plan of the approach is to change the watermarking task based on the texture similarity. Stage one deals with the separation of the host image into sufficiently textured and poorly textured regions. Following stage handles the transformation of the textured region of the logo into visual similar texture via Arnold transform and lossless rotation operation. For poorly textured regions, lossless rotation method is used. The iteration for the Arnold transform and the angles of lossless rotation can be encrypted by employing RSA algorithm. A multi-step extraction stage, within which an affine parameter estimation is first performed to compensate for possible geometrical transformations. Testing of this methodology with multiple logos on a database of host images and beneath a variety of attacks demonstrates that this RALT-mark algorithm yields higher overall performance than competitive strategies.
A survey on adaptive learning authoring tools

This paper surveys various adaptive learning authoring tools which are widely used. It has been done to propose different methods to implement the adaptive learning more effectively. Based on the pre-requisits and the type of metholdogy employed in each author tool, it can be effectively and efficiently used. Adaptive learning is essential for e-learning systems which dynamically adapts learning content based on learner's requirement and skill. To enhance author's efficiency, e-learning systems must definitely understand the learners requirements. Each work has its own working methodology, advantages and limitations.
Patulin, Deoxynivalenol, Zearalenone and T-2 Toxin Affect Viability and Modulate Cytokine Secretion in J774A.1 Murine Macrophages

Mycotoxins are secondary fungal metabolites, which occur in food and feed. They have detrimental effects on the health of humans and animals, and they are known to cause immunosuppression. In this study the effect of patulin, deoxynivalenol (DON), zearalenone (ZEN) and T-2 toxin exposure on the viability and the secretion of key pro- and anti-inflammatory cytokines from the murine macrophage cell line, J774A.1, was investigated. Exposure of macrophages to high doses of ZEN (100,000 pg/mL) and T-2 toxin (10,000 and 100,000 pg/mL) resulted in a significant decrease (P < 0.05 and P < 0.01) in cell viability. Exposure of macrophages to these mycotoxins resulted in a dose-dependent modulation of cytokine secretion. Specifically, exposure to low doses of patulin (0.001, 0.1 and 1 pg/mL) resulted in a statistically significant decrease in the secretion of the pro-inflammatory cytokines interleukin (IL) 6 (IL-6) and tumor necrosis factor alpha (TNF-α), following stimulation with lipopolysaccharide (LPS), a component of Gram-negative bacterial cell walls. Treatment with low doses of DON (0.001 pg/mL) and ZEN (0.001 and 0.01 pg/mL) significantly decreased (P < 0.01) the secretion of the pro-inflammatory cytokine IL-12p40, while several doses of T-2 toxin (0.001, 0.01, 0.1, 1 and 100 pg/mL) caused a significant decrease the expression of IL-6. Each of the mycotoxins also significantly increased the production of the anti-inflammatory cytokine IL-10, both before and after LPS stimulation. This data provides further insight into the mechanisms by which mycotoxins modulate the host immune response to exert their immunosuppressive activity.