Miracle-dz/UniFAR-FTUs huggingface dataset:
Symmetries in Foundation of Quantum Theory and Mathematics

In standard quantum theory, symmetry is defined in the spirit of Klein’s Erlangen Program—the background space has a symmetry group, and the basic operators should commute according to the Lie algebra of that group. We argue that the definition should be the opposite—background space has a direct physical meaning only on classical level while on quantum level symmetry should be defined by a Lie algebra of basic operators. Then the fact that de Sitter symmetry is more general than Poincare symmetry can be proved mathematically. The problem of explaining cosmological acceleration is very difficult but, as follows from our results, there exists a scenario in which the phenomenon of cosmological acceleration can be explained by proceeding from basic principles of quantum theory. The explanation has nothing to do with existence or nonexistence of dark energy and therefore the cosmological constant problem and the dark energy problem do not arise. We consider finite quantum theory (FQT) where states are elements of a space over a finite ring or field with characteristic p and operators of physical quantities act in this space. We prove that, with the same approach to symmetry, FQT and finite mathematics are more general than standard quantum theory and classical mathematics, respectively: the latter theories are special degenerated cases of the former ones in the formal limit p → ∞ .
Natural Language Correction

The goal of this thesis is to explore the area of natural language correction and to design and implement neural network models for a range of tasks ranging from general grammar correction to the specific task of diacritization. The thesis opens with a description of existing approaches to natural language correction. Existing datasets are reviewed and two new datasets are introduced: a manually annotated dataset for grammatical error correction based on CzeSL (Czech as a Second Language) and an automatically created spelling correction dataset. The main part of the thesis then presents design and implementation of three models, and evaluates them on several natural language correction datasets. In comparison to existing statistical systems, the proposed models learn all knowledge from training data; therefore, they do not require an error model or a candidate generation mechanism to be manually set, neither they need any additional language information such as a part of speech tags. Our models significantly outperform existing systems on the diacritization task. Considering the spelling and basic grammar correction tasks for Czech, our models achieve the best results for two out of the three datasets. Finally, considering the general grammatical correction for English, our models achieve results which are slightly worse, but still comparable to the previous state-of-the-art model.
The alpha6beta4 integrin promotes resistance to ferroptosis The alpha6beta4 integrin promotes resistance to ferroptosis

erastin. The α 6 β 4 integrin protects adherent epithelial and carcinoma cells from ferroptosis induced by erastin. In addition, extracellular matrix (ECM) detachment is a physiologic trigger of ferroptosis, which is evaded by α 6 β 4. The mechanism that enables α 6 β 4 to evade ferroptosis involves its ability to protect changes in membrane lipids that are proferroptotic. Specifically, α 6 β 4-mediated activation of Src and STAT3 suppresses expression of ACSL4, an enzyme that enriches membranes with long polyunsaturated fatty acids and is required for ferroptosis. Adherent cells lacking α 6 β 4 require an inducer, such as erastin, to undergo ferroptosis because they sustain GPX4 expression, despite their increase in ACSL4. In contrast, ECM detachment of cells lacking α 6 β 4 is sufficient to trigger ferroptosis because GPX4 is suppressed. This causal link between α 6 β 4 and ferroptosis has implications for cancer biology and therapy.
Impact of Traffic Flows and Meteorological Events on the Hourly Elemental Composition of Fine and Coarse Particles at an Urban Site

ABSTRACT Hourly PM2.5 and PM2.5-10 samples were collected with a Streaker sampler over one week at an urban site located on the Spanish Mediterranean coast. The samples were subsequently analysed using the PIXE technique to determine their elemental composition. Despite the influence of traffic at the site, the atmospheric concentrations of the traffic-related components fell within the lower range of values reported for urban stations with similar characteristics. The concentrations of the elemental tracers for non-exhaust emissions (Cu, Zn, Mn, Al, Ca and Fe) in the PM2.5-10 fraction displayed the strongest correlations with the traffic density (R2 > 0.5), with lower correlation coefficients calculated for the fine fraction. A short Saharan dust episode identified during the study period increased the concentrations of the crustal elements (Al, Ca, K, Ti, Sr and Fe), mainly in the coarse fraction. Nevertheless, the concentrations of the sea-spray elements exhibited higher relative increases, indicating that the Saharan dust plume reached the sampling site following a marine path. The high temporal resolution of the PM sampling allowed us to identify the effects of a brief but intense precipitation event, during which a higher atmospheric removal efficiency, peaking at the rate of 17 L m–2 in one hour, was observed for coarse particles than fine particles. As a result of this precipitation, most of the measured elemental concentrations in the PM2.5-10 fraction decreased below detection limits.
Review of weeds with Phytoremediation potentials of Petroleum Hydrocarbon contaminated soil in the Niger

Oil spillage in the Niger Delta is often as a result of petroleum exploration and exploitation activities, as well as sabotage through pipe vandalization. Most chemical and physical methods employed to clean-up the oil spill, have always come with far-reaching consequences that are more devastating to the environment than crude oil spills. Consequently, there is the need to do an environmental audit of weed species especially grasses with phytoremediation potential and their diversity in the Niger Delta, as an environmental friendly alternative. This approach will restore the ecosystem to its original status capable of supporting biological activities that will in turn support the livelihood of the communities or population that depends on it before the oil spill. Therefore, sustainable phytoremediation with weeds must explore the potentials of local and indigenous weed species with proven adaptability to the local environmental and ecosystem challenges occasioned by the peculiarity of the Niger Delta region. [Omovbude, S. and Udensi, U.E. Review of weeds with Phytoremediation potentials of Petroleum Hydrocarbon contaminated soil in the NigerDelta states. Nat Sci 2016;14(11):47-55]. ISSN 1545-0740 (print); ISSN 23757167 (online). http://www.sciencepub. net/nature. 8. doi:10.7537/marsnsj141116.08.
Sclerosing encapsulating peritonitis (SEP) in patients on continuous ambulatory peritoneal dialysis

硬化性被嚢性腹膜炎 (sclerosing encapsulating peritonitis, SEP) はCAPD療法における最も重篤な合併症の1つである. 厚生省長期慢性疾患総合研究事業慢性腎不全研究班における 『CAPD療法の評価と適応に関する研究班』 ではこの病態に焦点をあて, その診断・治療に関する方向性を明らかにすることを目的に検討をかさねてきている. 今回, 昨年度策定した 「硬化性被嚢性腹膜炎 (sclerosing encapsulating peritonitis, SEP) 診断・治療指針 (案)」 を1年間の経験を踏まえ検討し, その問題点を明らかにし改訂案を作成した. SEPの定義についても 「瀰漫性に肥厚した腹膜の広範な癒着により, 持続的, 間欠的あるいは反復性にイレウス症状を呈する症候群である. これはあくまでも臨床的診断である」 とより実際に即したものに改訂した. 形態学的には腹膜肥厚および, もしくは硬化性腹膜炎 (peritoneal thickening and/or sclerosing peritonitis) を認める. 臨床症状としてイレウス症状 (嘔気, 嘔吐, 腹痛) が必発である. その他参考となる症状として, 低栄養, るいそう, 下痢, 便秘, 微熱, 血性排液, 限局もしくは瀰漫性の腹水貯留, 腸管ぜん動音低下がみられる. また, 腹部に塊状物を触知する. 画像診断も補助診断として有用である. 治療の基本方針はCAPDは中止し, 腸管の安静を保つことにある. 栄養補給は経静脈的高カロリー輸液 (IVH) を主体に行う. 一部にステロイド・パルス療法がSEP発症直後の症例に著効を示した症例も経験された. しかしながら本病態の多様性, 治療に対する反応性の相違から画一的に治療方針の決定には至らなかった. 従ってあくまで基本的治療方針の提示となった. また, SEP予防のためのCAPD中止基準も併せて提示した. 今後さらに症例の集積によりさらなる修正を重ね, より有用性の高い指針の策定を期待する.
ASYMMETRIC AND SYMMETRIC CRYPTOGRAPHY TO SECURE SOCIAL NETWORK MEDIA COMMUNICATION : THE CASE OF ANDROID-BASED E-LEARNING SOFTWARE

—“Pemahan Omah @UMB” is an Android-based server-less e-learning software that uses social network media as its main communication channel to avoid the burden of maintaining a course management system server and its supporting infrastructure. In the first version of this software, there are still some limitations. The first one is that it is securing exchanged data only in the form of "security by obscurity" and the second one is that it can only send plain text message without any images attached in the message. To eliminate these limitations, several new features are employed in the new version of the software. These features are creating message as file attachment that can contain text and messages, securing a large file with the combination of symmetric AES cryptographic algorithm and asymmetric RSA cryptographic algorithm, and building public-private key generation and management. The RSA cryptography and AES cryptography used in the new version of the e-learning software is implemented by using the “javax.crypto” library, which is readily available in the Android's Java development environment.
Automated Toll Booth using Morphological Edge Detection Algorithm

In order to reduce the traffic jam, save time and to diminish the money loss of 300 crores/year, an automated system is proposed; The intelligent traffic control management systems which explains the installation of automation in toll plazas, which is a step towards improving the monitoring of vehicles. The main purpose of this arrangement is to implement a system, which automatically identifies an approaching vehicle and records the vehicles number and time. If the vehicle belongs to an authorized person, the toll gate opens automatically and a predetermined amount is deducted from the user account, which leads to reduce the Traffic clogging at toll plazas. The vehicle number plate recognition is done only for authorized members. The proposed model consists of image digitization, edge detection, character detection and recognition with the payment transaction. The proposed method uses morphological edge detection , for the system to identify the character recognition and it uses template matching; it is done for license plates of 6 characters. The license plate character recognition system can be used in vehicle check -in and checkout monitoring system in hotels, malls and can be used to track vehicles on normal roads other than toll booths to avoid thefts.
Exploiting Semantic and Pragmatic Information for the Automatic Resolution of Spatial Linguistic Expressions

We present a computational model for the interpretation of linguistic spatial propositions in the restricted realm of a puzzle game. Based on an experiment aimed at analyzing human judgment of spatial expressions, we establish a set of criteria that explain human preference for certain interpretations over others. Each criterion is associated to a metric that combines the semantic and pragmatic contextual information regarding the game as well as the ut-terance being resolved. By resorting to machine learning techniques we determine a model of spatial relationships from the data collected during the experiment. Sentence interpretation occurs by matching the potential field of each of its possible interpretations to the model at hand. The system’s explanation capabilities lead to the correct assessment of ambiguous situated utterances for a large percentage of expressions.
ICTA-Image Content based Topological Analysis for Friend Recommendation on Twitter

: Recently, there has been increase in usage of social media platform i.e., Twitter for sharing information, personal interests and breaking news during emergencies. One of the main challenges in twitter application is friend recommendation. In this paper, we propose a Novel Image Content based Topology Analysis for Friend Recommendation (IICTA-FR) for overcoming the challenges of finding the similar people. In IICTA-FR, we construct topology based tweet analysis and Image content analysis to find relevant friend for Twitter users. In this work, we provide a framework to compute relationship strength for ties based on directed interactions between users. The proposed ICTA-FR framework produces a directed and weighted graph where the nodes and edges represent Twitter users, and user interactions respectively. Further, each weight in the directed edge represents about the probability of any interaction going from the edge source to the edge destination in the future. This weight is based on both tweet analysis and image analysis. We used hierarchical generative model for understanding the images posted in twitter through a visual model. We used logistic regression based model for calculating the edge scores in the graph. The proposed methodology has been validated on real Twitter data and found to give better results than the existing state of art algorithms in terms success rate.
Activation of microRNA-378a-3p biogenesis promotes hepatic secretion of VLDL and hyperlipidemia by modulating ApoB100-Sortilin1 axis

Rationale: Hyperlipidemia is a major risk factor of atherosclerosis and cardiovascular diseases (CVD). As a standard-of-care approach for hyperlipidemia, statins only reduce the risk of coronary artery disease by 20-40%, underscoring the importance of identifying molecular pathways for the design of drugs against this disorder. Alterations in microRNA (miRNA) expression have been reported in patients with hyperlipidemia and CVD. This study was designed to determine the mechanism of dysregulated miR-378a-3p under the status of hyperlipidemia and evaluate how miR-378a-3p regulates hepatic secretion of VLDL. Methods: Wild-type mice kept on a high fat diet were injected with miR-378a-3p inhibitor or a mini-circle expression system containing miR-378a precursor to study loss and gain-of functions of miR-378a-3p. Mice were treated with Triton WR1339 and 35S-methionine/cysteine to determine the effect of miR-378a-3p on hepatic secretion of VLDL. Database mining, luciferase assay, and ChIP (chromatin immunoprecipitation) were used to study the mechanism of dysregulated miR-378a-3p biogenesis. Results: miR-378a-3p expression is significantly increased in livers of hyperlipidemic mice. Sort1 (sortilin 1) was identified as a direct target of miR-378a-3p. By inhibiting the function of sortilin 1 as a transmembrane trafficking receptor, miR-378a-3p stabilized ApoB100 and promoted ApoB100 secretion in vitro. Liver-specific expression of miR-378a-3p stabilized ApoB100 and facilitated hepatic secretion of VLDL, which subsequently increased levels of VLDL/LDL cholesterol as well as triglycerides. In contrast, antagonizing miR-378a-3p using its inhibitor increased hepatic expression of Sort1 and reduced hepatic export of VLDL with its consequent effects of serum lipid levels. Additional knockdown of up-regulated Sort1 in livers of mice offset the effects of miR-378a-3p inhibitor, suggesting that Sort1 was indispensable for miR-378a-3p to promote secretion of VLDL and thereby high levels of circulating VLDL/LDL cholesterol and triglycerides. Furthermore, oncogenic E2F1 (E2F transcription factor 1) was identified as a transcriptional activator of miR-378a-3p. E2f1 knockdown, through reducing miR-378a-3p, impaired secretion of VLDL and reduced levels of VLDL/LDL cholesterol and triglycerides. Conclusions: This study defines a novel pathway of E2F1-miR-378a-3p-SORT1-ApoB100 that controls levels of circulating VLDL/LDL cholesterol and triglycerides by modulating degradation and secretion of ApoB100, and suggests the use of miR-378a-3p as a potential therapeutic target for dyslipidemia.
A Study to Design and Implementation of an 11 Level Inverter with FACTS Capability for Distributed Renewable Energy systems

This paper presents, a single phase wind energy inverter (WEI) system having multilevel features with flexible AC transmission capability. The goal of this paper is to design a type of inverter with distribution static synchronous compensator (D-STATCOM) option to provide utilities with more control the power factor (PF) of distribution lines. The proposed inverter is placed between the wind turbine and grid, as regular WEI in order to regulate active and reactive power transferred to the grid, regardless of wind speed. With the help of this proposed inverter for small to medium size wind applications will eliminate the use of condenser banks as well as FACT devices to control the power factor (PF) of grid at target value, by regulating active and reactive power required by the distribution lines. The purpose of this paper is to present an idea to extend the penetration of renewable energy systems into distribution systems. In this D-STATCOM inverter modular multilevel converter topology is used, and in order to control active and reactive power by regulating the power angle and modulation index as per the requirement of distribution lines. our motive is to reduce the overall cost of system and total harmonic distortion (THD) and significantly trying to increase the efficiency of system by reducing the number of switches during designing of system . The simulation for this multilevel inverter proposed to be done by using MATLAB /SIMULINK .
IMPROVED METHODS OF HEART RATE MONITORING USING ADAPTIVE FILTERS -IJAERD

AbstractThis paper presents a relation between heart rate and vowel speech signal. The proposed method is based on modeling the relationship between speech production of vowel speech signals and heart activities of human. The Adaptive filter is used to manipulate signals to reject unwanted characteristics for accurately monitoring the heart rate. Simulation results show that the proposed method provides more accuracy as compared with existing methods. There is linear relationship between results obtained from proposed method and clinical method.
Computational Performances of OFDM using Different Pruned Radix FFT Algorithms

The Fast Fourier Transform (FFT) and its inverse (IFFT) are very important algorithms in signal processing, software-defined radio, and the most promising modulation technique i.e. Orthogonal Frequency Division Multiplexing (OFDM). From the standard structure of OFDM we can find that IFFT/FFT modules play the vital role for any OFDM based transceiver. So when zero valued inputs/outputs outnumber nonzero inputs/outputs, then general IFFT/FFT algorithm for OFDM is no longer efficient in term of execution time. It is possible to reduce the execution time by “pruning” the FFT. In this paper we have implemented a novel and efficient input zero traced radix FFT pruning (algorithm based on radix-2 DIF FFT, radix-4 DIF FFT, radix-8 DIF FFT). An intuitive comparison of the computational complexity of orthogonal frequency division multiplexing (OFDM) system has been made in terms of complex calculations required using different radix Fast Fourier transform techniques with and without pruning. The different transform techniques are introduced such as various types of Fast Fourier transform (FFT) as radix-2 FFT, radix-4 FFT, radix-8 FFT, mixed radix 4/2, mixed radix 8/2 and split radix 2/4. With intuitive mathematical analysis, it has been shown that with the reduced complexity can be offered with pruning, OFDM performance can be greatly improved in terms of calculations needed.
Nano composites commonly used in medicine and veterinary

Nanocomposite in various fields were discussed and tested and show various results. Assessment of polycaprolacton (PCL) nanocomposite scaffold compared with hydroxyapatite (HA) on healing of segmental femur bone defect in rabbits. Assessment of tricalcium phosphate/collagen (TCP/collagene) nanocomposite scaffold compared with hydroxyapatite (HA) on healing of segmental femur bone defect in rabbits. Alteration in the trace minerals of cutaneous wounds of rabbits grafted with calciumsilvernanocomposite films Development of shampoo, soap and ointment formulated by green synthesised silver nanoparticles functionalised with antimicrobial plants oils in veterinary dermatology: treatment and prevention strategies. The impact of potential feed additive nanocomposite (AG,Cu,Fe,andMnDioxide) on eggs quality parameters of lying hens compared with metal salts. Biomimetic synthesis of bone-like nanocomposites using the self-organization mechanism of hydroxyapatite and collagen. Synthesis and Properties of Silicone Rubber/Organomontmorillonite Hybrid Nanocomposites). Self-healing hybrid nanocomposites consisting of bisphosphonatedhyaluronan and calcium phosphate nanoparticles. 1Department of Veterinary Surgery, Science and Research Branch, Islamic Azad University, Tehran, Iran 2Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran 3Veterinary Student, Science and Research Branch, Islamic Azad University, Tehran, Iran *Corresponding author Alireza Jahandideh Department of Veterinary Surgery, Science and Research Branch, Islamic Azad University, Tehran, Iran, E-mail: Dr.jahandideh@gmail.com Submitted: 20 June 2017; Accepted: 30 June 2017; Published: 20 July 2017
A Comparison Between Neighbour Discovery Protocols in Low Duty-Cycled Wireless Sensor Networks

— Wireless sensor networks are applied in a wide variety of applications, such as environment monitoring, target tracking and so on. Neighbour discovery process is an important component of wireless sensor network’s access and basic communication. Duty-cycle based wireless sensor networks can save energy, but challenges the process of neighbour discovery. A comparison between neighbour discovery protocols in low duty-cycled wireless sensor networks is made and a classification of discovery protocols is proposed, i
Food Retail in the Rural Periphery Using the Example of Germany

Using a mixed-method approach, the author documents processes of decline in food retail on the spatial meso-scale of a northern German federal state and investigates the attitudes and patterns of demand of households dealing with the loss of local retail. Cluster and discriminant analysis are used to identify five relevant sub-groups, all of which are characterised by an ongoing discourse concerning the local retail structures. The five sub-groups define their (dis)interest in local retail using very different spatial, temporal, and substantial criteria. These criteria are drawn upon by local retailers to develop strength and weakness profiles and identify learning potential in an attempt to use innovative forms of niche marketing to better attract non-users or minimal users. Expert interviews with village shopkeepers and local producers of fresh goods indicate which solutions are being implemented to secure the commercial success of rural local retail in the long term and to distinguish such retail from the offerings of ubiquitous chains of supermarkets and discounters. Food Retail in the Rural Periphery Using the Example of Germany: Identifying Success Factors