Miracle-dz/UniFAR-FTUs huggingface dataset:
ALUMINIUM INDUCED CHANGES IN THE HEAMATOLOGICAL PARAMETERS OF THE FRESHWATER FISH , CYPRINUS CARPIO var . COMMUNIS Ganapathy

In the present investigation, aluminium induced toxicity in haematological parameters such as haemoglobin content HCT, RBC, and WBC count in Cyprinus carpio var. communis exposed to 24 hours LC50 concentration. To assess the haematological profile of the control and treated fish, haemoglobin, haematocrit levels and RBC and WBC and counts were measured in the whole blood of Cyprinus carpio var. communis. Erythrocyte indices of fish viz., MCHC (Mean Cell Haemoglobin Concentration), MCH (Mean Cell Haemoglobin) and MCV (Mean Cell Volume) were also calculated. It was observed that the aluminium sulphate induced remarkable changes in the various haematological parameters of the selected fish.
Advanced E-Nose System

In today's life, we all have some health issues due to the pollutions. We did not know the current pollution conditions in a specific area or room. Also, there are no such systems which alert the user when the levels of harmful gases are increased. So there is a need for such system which controls the harmful gases in or outside of the room. The proposed system deals with all the mentioned issues like controlling the pollution and gives the alert notification to the user when the level of harmful gases exceeds the particular limit. This system can give real-time pollution of particular room values like oxygen level, temperature level, moisture in the air etc. The hardware kit work with the Arduino WeMos Microcontroller which can send the sensor data to the server through WIFI. In the alert condition, the system can notify the user. Also, the kit plays the buzzer to alert the user.
A Simple Proof of Vyalyi's Theorem and some Generalizations

In quantum computational complexity theory, the class QMA models the set of problems efficiently verifiable by a quantum computer the same way that NP models this for classical computation. Vyalyi proved that if QMA = PP then PH ⊆ QMA. In this note, we give a simple, self-contained proof of the theorem, using only the closure properties of the complexity classes in the theorem statement. We then extend the theorem in two directions: (i) we strengthen the consequent, proving that if QMA = PP then QMA = PHPP, and (ii) we weaken the hypothesis, proving that if QMA = CO-QMA then PH ⊆ QMA. Lastly, we show that all the above results hold, without loss of generality, for the class QAM instead of QMA. We also formulate a “Quantum Toda’s Conjecture”.
DIW Berlin : Politikberatung kompakt 41

This report assesses the literature on the inter-relations between the economy and security with particular focus on terrorism and the “human drivers of insecurity” to identify both available knowledge and crucial research gaps. In addition, the report surveys the European research capacity in the field of security economics. The study is based on a thorough literature survey of the newly emerging field of security economics, using a variety of electronic catalogues and search engines as sources. The study reveals that it is not just terror attacks but also security measures of private and public agents responding to the threat of terrorism that incur significant repercussions for the economy, often with trans-national consequences. Impacts vary with the maturity of an economy; appropriate ex ante and ex post policies are critical to contain the damage of terrorism. Given the dynamic nature of human-induced insecurity, policies should place emphasis on “systemic resilience”. Gaps in the economic security literature include insufficient knowledge of the behaviour of terrorists and their targets. Furthermore, the global impacts of terror attacks and especially of security measures require more analysis. Future research requires a more rigorous conceptual framework, methodological improvements and, above all, better data. In comparison to the United States, the current research capacity in security economics in Europe is weak. On the one hand, there is significant research potential in the field of security economics within the European Union in the shape of several high quality researchers. On the other hand, the existing research infrastructure and institutional barriers both inhibit this potential from being developed academically and for policy advice. Establishing a European network of security economists and funding a European centre for security economics could contribute to remedy this situation.
Efficient Methods and Implementation of Automatic Speech Recognition System

An automatic speech recognition (ASR) system is very popular and efficient process to converts sound signals into text. It is widely used in various applications in market such as speech-to-text, entries of data etc. Accuracy of ASR is one of the big challenge for the researchers because many voice inputs have noise and declined channel, it results mismatched condition from the point of view of competency and reliability. In sound recognition, it has three most important approaches as Artificial intelligence, second is Pattern recognition and the last one is Acoustic phonetics. The goal of this paper is to clear an idea about basics of voice recognition by differentiating methods and summarizing a theory of what is ASR? And how does it works? in each and every stages of voice recognition system. It discusses the progress and development of voice recognition in last five decades that has been performed and describes a literature review of a system. This paper presents innovative and distinctive features of a system. Keywords–Automatic speech recognition, Pattern recognition, Language model, Hidden markov model, Linear discriminate analysis, Mel frequency cepstral coefficient
Research Progress of Nuclear Emergency Response Robot

This paper introduces the research progress and application of nuclear emergency response robot since the Fukushima nuclear accident in detail, and briefly introduces the research process of nuclear emergency response robot in China. By summarizing the characteristics of emergency work after nuclear accident and the experience of using nuclear emergency response robot, the demand characteristics and development trend of nuclear emergency response robot are analyzed. The key technologies of radiation protection, communication and radiation detection for nuclear emergency response robots are summarized in detail. Finally, a nuclear emergency fire fighting robot developed by this project is introduced briefly.
Three-axis force sensor

The invention discloses a three-axis force sensor which comprises a sensor body. A flange plate used for being connected with a headstock is fixedly connected with one end of the sensor body. The sensor body comprises a first unit, a second unit and a third unit, wherein the first unit, the second unit and the third unit are sequentially arranged. A first resistor strain sensor, a second resistor strain sensor and a third resistor strain sensor are sequentially arranged in the first unit, the second unit and the third unit. The output end of the first resistor strain sensor, the output end of the second resistor strain sensor and the output end of the third resistor strain sensor are sequentially connected with an A/D conversion module, a microprocessor, a CAN module and a CAN bus. The CAN bus is provided with a detecting unit used for detecting signal sources. According to the three-axis force sensor, while vehicle traction can be measured, component force, in the horizontal and vertical directions, of a vehicle can be obtained, and more comprehensive vehicle parameters are provided for vehicle design personnel; three built-in sensor modules are connected in parallel through the CAN bus to form a weighing system, and the structure is greatly simplified.
Would Insuring Near-Elderly Persons Reduce Medicare Spending in Patients Aged 65 Years or Older ?

TO THE EDITOR: Beckman’s thoughtful article (1) raises important questions regarding communication among hospitalists, patients, and primary care physicians. The field of hospital medicine continues to work on improving communication and transitions. As might be expected, some hospitalist programs communicate better than others—just like every other specialty and specialist. Beckman’s article also raises the question of whether hospitalists might increase hospital costs through redundant testing, but almost all relevant studies (2–4) have shown that hospitalists decrease overall hospital costs. Approximately one half of U.S. hospitals now have hospitalists, and more than 90% support the practice with hospital dollars (3, 5). Given the dominant diagnosis-related group payment system, to argue that hospitalists are wasting money overall would be to argue that hospitals are acting against their interests by supporting their hospitalist programs. It is more likely that hospitalists order some repeated or unnecessary tests but save more money by driving hospitalizations forward, gathering data, coordinating in-hospital specialists, building better systems, and following guidelines. And although there will always be memorable anecdotes about unhappy inpatients who long for their primary care physician, every published study (2) that has examined patient satisfaction under hospitalist systems has shown neutral satisfaction (that is, no overall worsening from the primary care inpatient model to the hospitalist model) at worst. Imagine we were transitioning from a hospitalist-based system of inpatient care to one involving primary care physicians (that is, the old system). I’m certain we would hear of patients who felt abandoned because their physician saw them at 6:30 a.m. but not for the rest of the day, or patients who felt that their care was completely uncoordinated because there was no “quarterback” in the hospital, or patients who had unnecessary tests or incorrect decisions because of the primary care physician’s lack of knowledge of evidence-based inpatient guidelines. In other words, the old model was also flawed. Beckman acknowledges that he voluntarily agreed to use hospitalists and that he is not prepared to reassume hospital care, despite his reservations. He is not alone. So the question is how to improve coordination and make the hospitalist model as good as it can be for all involved parties. Such improvements still require work, which is why hospitalists are attacking these issues with such passion (6).
Alzheimer’s Disease and Its Potential Alternative Therapeutics

Alzheimer’s Disease (AD) is a chronic neurodegenerative disease that affects over 5 million individuals in the United States alone. Currently, there are only two kinds of pharmacological interventions available for symptomatic relief of AD; Acetyl Cholinesterase Inhibitors (AChEI) and N-methyl-D-aspartic Acid (NMDA) receptor antagonists and these drugs do not slow down or stop the progression of the disease. Several molecular targets have been implicated in the pathophysiology of AD, such as the tau (τ) protein, Amyloid-beta (Aβ), the Amyloid Precursor Protein (APP) and more and several responses have also been observed in the advancement of the disease, such as reduced neurogenesis, neuroinflammation, oxidative stress and iron overload. In this review, we discuss general features of AD and several small molecules across different experimental AD drug classes that have been studied for their effects in the context of the molecular targets and responses associated with the AD progression. These drugs include: Paroxetine, Desferrioxamine (DFO), N-acetylcysteine (NAC), Posiphen/-(−)Phenserine, JTR-009, Carvedilol, LY450139, Intravenous immunoglobulin G 10%, Indomethacin and Lithium Carbonate (Li2CO3).
Density of PAS positive patterns in uveal melanoma: Correlation with vasculogenic mimicry, gene expression class, BAP-1 expression, macrophage infiltration, and risk for metastasis

Purpose Periodic acid-Schiff (PAS) positive patterns of vasculogenic mimicry (VM) have been associated with poor prognosis in uveal melanoma (UM). We examined these patterns with digital image analysis and transmission electron microscopy, and correlated them with BAP-1 expression, gene expression class, macrophage infiltration, and metastatic disease in full tumor cross-sections and intratumor regions. Methods Thirty-two enucleated eyes with UM were stained immunohistochemically (BAP-1, laminin, CD31, and CD68) and with PAS without hematoxylin counterstain. Retrospective data on gene expression class and patient survival were retrieved. Tumor sections were digitally scanned and analyzed with the QuPath Bioimage analysis software, and imaged with transmission electron microscopy. Results The mean area proportion covered by CD31, laminin, and PAS positive patterns in tumor cross-sections was 0.9% (SD 0.6), 3.0% (SD 1.9), and 8.4% (SD 5.9), respectively. PAS density was statistically significantly greater in tumors with gene expression class 2 (p=0.02). The cumulative 5-year metastasis-free survival decreased for each quartile of increased PAS density (1.0, 0.75, 0.40, and 0.17, p=0.004). Forty percent of the tumors had heterogeneous BAP-1 expression. Intratumor regions with low BAP-1 expression were more likely to harbor VM (p<0.0001), and had statistically significantly greater PAS density (p<0.0001) and number of CD68 positive cells (p=0.01). Conclusions PAS positive patterns in UM are composed of a mixture of blood vessels and extracellular matrix (ECM), including VM. Increased density of PAS positive patterns correlated with gene expression class and metastasis, and colocated to tumor regions with macrophage infiltration and low BAP-1 expression.
Adverse reaction profiles of hemorrhagic adverse reactions caused by direct oral anticoagulants analyzed using the Food and Drug Administration Adverse Event Reporting System (FAERS) database and the Japanese Adverse Drug Event Report (JADER) database

Direct oral anticoagulants (DOACs) are used in anticoagulant therapy. The purpose of this study was to evaluate the association of DOAC-induced gastrointestinal (GI) and nervous system hemorrhage using the FDA's Adverse Event Reporting System (FAERS) database and the Japanese Adverse Drug Event Report (JADER) database. We identified and analyzed the reports of hemorrhagic reactions between 2004 and 2016 from the FAERS and JADER databases, and calculated the adjusted reported odds ratio (ROR) using the multiple logistic regression method. Additionally, we used the time-to-onset analysis. In the FAERS database, the adjusted ROR of apixaban, rivaroxaban, and dabigatran for GI hemorrhage was 6.79 (5.84-7.91), 19.58 (18.85-20.34), and 14.51 (13.58-15.51), respectively. In the JADER database, the adjusted ROR of apixaban, rivaroxaban, edoxaban, and dabigatran for GI hemorrhage was 11.80 (9.50-14.64), 11.03 (9.18-13.26), 10.17 (6.95-14.88), and 9.85 (7.23-13.42), respectively. We found that the association of GI hemorrhage with DOACs was affected by sex (female). Additionally, 30% of GI hemorrhage was observed after 30 days. Hemorrhagic reactions of both GI and nervous systems were observed in both the spontaneous reporting system databases. We recommend that female patients who experience symptoms related to GI hemorrhage should be closely monitored and advised to adhere to an appropriate care plan. Additionally, our results show that patients should be closely monitored for hemorrhage even after a month.
Thresholds in the Lattice of Subspaces of (Fq)n

Let Q be an ideal (downward-closed set) in the lattice of linear subspaces of Fq , ordered by inclusion. For 0 6 k 6 n, let μk(Q) denote the fraction of k-dimensional subspaces that belong to Q. We show that these densities satisfy μk(Q) = 1 1 + z =⇒ μk+1(Q) 6 1 1 + qz . This implies a sharp threshold theorem: if μk(Q) 6 1− ε, then μ`(Q) 6 ε for ` = k +O(logq(1/ε)).
Multi-guided particle swarm optimization : a multi-objective particle swarm optimizer

An exploratory analysis in low-dimensional objective space of the vector evaluated particle swarm optimization (VEPSO) algorithm is presented. A novel visualization technique is presented and applied to perform the exploratory analysis. The exploratory analysis together with a quantitative analysis revealed that the VEPSO algorithm continues to explore without exploiting the well-performing areas of the search space. A detailed investigation into the influence that the choice of archive implementation has on the performance of the VEPSO algorithm is presented. Both the Pareto-optimal front (POF) solution diversity and convergence towards the true POF is considered during the investigation. Attainment surfaces are investigated for their suitability in efficiently comparing two multi-objective optimization (MOO) algorithms. A new measure to objectively compare algorithms in multi-dimensional objective space, based on attainment surfaces, is presented. This measure, referred to as the porcupine measure, adapts the attainment surface measure by using a statistical test along with weighted intersection lines. Loosely based on the VEPSO algorithm, the multi-guided particle swarm optimization (MGPSO) algorithm is presented and evaluated. The results indicate that the MGPSO algorithm overcomes the weaknesses of the VEPSO algorithm and also outperforms a number of state of the art MOO algorithms on at least two benchmark test sets.
Integrated Network Approach to Protein Function Prediction

One of the main problems in functional genomics is the prediction of the unknown gene/protein functions. With the rapid increase of high-throughput technologies, the vast amount of biological data describing different aspects of cellular functioning became available and made it possible to use them as the additional information sources for function prediction and to improve their accuracy.In our research, we have described an approach to protein function prediction on the basis of integration of several biological datasets. Initially, each dataset is presented in the form of a graph (or network), where the nodes represent genes or their products and the edges represent physical, functional or chemical relationships between nodes. The integration process makes it possible to estimate the network importance for the prediction of a particular function taking into account the imbalance between the functional annotations, notably the disproportion between positively and negatively annotated proteins. The protein function prediction consists in applying the label propagation algorithm to the integrated biological network in order to annotate the unknown proteins or determine the new function to already known proteins. The comparative analysis of the prediction efficiency with several integration schemes shows the positive effect in terms of several performance measures.
Gunshot Airborne Surveillance with Rotary Wing UAV-Embedded Microphone Array

Unmanned aerial vehicles (UAV) are growing in popularity, and recent technological advances are fostering the development of new applications for these devices. This paper discusses the use of aerial drones as a platform for deploying a gunshot surveillance system based on an array of microphones. Notwithstanding the difficulties associated with the inherent additive noise from the rotating propellers, this application brings an important advantage: the possibility of estimating the shooter position solely based on the muzzle blast sound, with the support of a digital map of the terrain. This work focuses on direction-of-arrival (DoA) estimation methods applied to audio signals obtained from a microphone array aboard a flying drone. We investigate preprocessing and different DoA estimation techniques in order to obtain the setup that performs better for the application at hand. We use a combination of simulated and actual gunshot signals recorded using a microphone array mounted on a UAV. One of the key insights resulting from the field recordings is the importance of drone positioning, whereby all gunshots recorded in a region outside a cone open from the gun muzzle presented a hit rate close to 96%. Based on experimental results, we claim that reliable bearing estimates can be achieved using a microphone array mounted on a drone.
Hepatoprotective effects of red beetroot-based beverages against CCl4 -induced hepatic stress in Sprague Dawley rats.

Red beetroot (Beta vulgaris L.) is considered important to improve hepatic health but its use is primarily limited to fresh salads in Pakistan. This study was aimed at exploring prophylactic role of red beetroot-based beverages against carbon tetrachloride (CCl4 )-induced hepatic stress. Purposely, red beetroot-based beverages (8 ml/kg b.w. per day) were administered to normal and hepatotoxicity-induced rats for 8 weeks. The biochemical analyses revealed significantly higher levels of superoxide dismutase (25%-28%), catalase (21%-24%), and hepatic enzymes (15%-19%) alongside reduced lipid peroxidation (27%-32%) in liver tissues of hepatotoxicity-induced rats treated with beetroot-based beverages compared to control. Similarly, hepatic injury was reduced by 19%-26% as indicated by concentrations of serum hepatic health biomarkers. Moreover, histological architecture of hepatocytes also portrayed promising effects of beetroot-based beverages to preserve hepatocellular portfolio. It was concluded that red beetroot-based beverages considerably assuage negative impacts of hepatic stress. PRACTICAL APPLICATIONS: Functional foods and nutraceuticals are considered vital in controlling the oxidative stress-mediated metabolic disorders as safer alternatives to pharmaceutical agents. The current research explored the protective effects of red beetroot-based beverages which can be utilized as an effective approach to prevent liver injuries. Also, the outcomes of this research endorsed the defensive role of these beverages against oxidative stress-induced hepatic stress, so dietary supplementation of such products can be synchronized in clinical practices to alleviate oxidative stress. However, there is a need to further explore the safety aspects of such products in their long-term usage before implementing this module in humans for disease prevention/cure.
Intrathecal injection of dexmedetomidine ameliorates chronic neuropathic pain via the modulation of MPK3/ERK1/2 in a mouse model of chronic neuropathic pain

ABSTRACT Objective: Despite the application of dexmedetomidine (DEX) as a perioperative adjuvant in local analgesia, the exact analgesic mechanism underpinning chronic neuropathic pain (CNP) awaits our elucidation. Methods: We investigated the molecular mechanisms of the anti-nociceptive effect of DEX on neuropathic pain in a mouse model induced by chronic constriction injury (CCI). Results: DEX administration significantly increased the paw withdrawal latency (PWL) values 0.5 to 2 h post-injection in CCI-induced CNP mice at day 5 to 21 versus dimethyl sulfoxide (DMSO)-treated mice, confirming its analgesic effect. The c-Fos expression was significantly elevated in CCI mice versus the sham-operated group, whereas the elevation was mitigated by DEX injection. Subsequently, the involvement of MKP1 and MKP3 in the pathogenesis of chronic neuropathic pain was evaluated. Western blotting analyses revealed significant decrease in both MKP1 and MKP3 in the spinal cord in CCI group versus the sham group. DEX markedly elevated the MKP3 expression and modestly reduced the MKP1 expression, with insignificant difference in the latter. Co-injection of BCI (an MKP3 inhibitor) and DEX evidently reduced the PWL values in CCI mice. Furthermore, DEX significantly downregulated the phosphorylation of extracellular-signal-regulated kinase (ERK) 1/2, down-stream effector of MKP3 in CCI mice, whereas the downregulation was reversed by BCI. Conclusion: We confirmed that DEX exerts the analgesic effect on chronic neuropathic pain via the regulation of MKP3/ERK1/2 signaling pathway, which may contribute to clarification of the molecular mechanism and novel therapy for chronic neuropathic pain.