Miracle-dz/UniFAR-FTUs huggingface dataset:
CLINICAL APPLICATIONS OF NANOMEDICINES : A

ABSRTACT: Molecular nanotechnology has been defined as the three-dimensional positional control of molecular structure to create materials and devices to molecular precision. The human body is comprised of molecules; hence the availability of molecular nanotechnology will permit dramatic progress in human medical services. More than just an extension of "molecular medicine," nanomedicine will employ molecular machine systems to address medical problems, and will use molecular knowledge to maintain and improve human health at the molecular scale. Nanomedicine will have extraordinary and far-reaching implications for the medical profession, for the definition of disease, for the diagnosis and treatment of medical conditions including aging, and ultimately for the improvement and extension of natural human biological structure and function. Nanomedicine is the preservation and improvement of human health using molecular tools and molecular knowledge of the human body. Nanomedicines are an emerging group of therapeutics that take advantage of our understanding of phenomena on the nanometer scale. Nanomedicines research requires expertise in a range of diverse fields and thus requires multidisciplinary teams. This article presents a brief review of Nanomedicines with an emphasis on its various aspects associated i.e. introduction, definition, medical and clinical uses, especially role of nanomedicines in treatment of dreadful disease like cancer in current scenario. The article also reveals the concept of nanorobots as well as implications for nanotoxicology from nanomedicines.
THE PHYSICAL MODEL FOR AN ORGANIZATION: SIMILAR ASPECTS BETWEEN "ATOM'' AND "ORGANIZATION''

In this paper we claim that there exist some similar aspects between "atom'', as a typical physical system, and its counterpart "organization'' as a social system. These similar aspects have been shown by comparison between employees with electrons, board of directors with nucleus, dismissal with photoelectric effect, and organizational restructuring with nuclear reaction.
A Pancreatic Lipase Inhibitory Activity by Mango (Mangifera indica) Leaf Methanolic Extract

The objective of this study was to identify pancreatic lipase inhibitory active ingredients of mango leaves, and to examine a relationship between leaves maturation and pancreatic lipase inhibitory activity. A methanolic extract of old dark green mango leaves (OML-ext) showed a porcine pancreatic lipase inhibitory activity. The pancreatic lipase inhibitory activity of OML-ext was attributable to 3-C-β-D-glucosyl-2,4,4’,6-tetrahydroxybenzophenone (2) and mangiferin (1). The pancreatic lipase inhibitory activity of young mango leaf extract was superior to that of old leaf extract. It was suggested that the activity is correlated with the content of 2 in these extract. Considering the amounts of leaves obtained from pruning, old dark green leaves may be a reasonable natural resource for the preparation of ingredients with lipase inhibitory activity.
PASS-ThrOuGh iN liThuANiA

The paper considers the pass-through of the interbank and retail interest rates for the case of Lithuania. The need for the interest rate transmission analysis has grown during the volatile market period caused by the global financial crisis. The objective of the article is to check theoretical and statistical aspects of domestic currency (litas) interest rate pass-through from interbank to retail interest rates and, specifically, to determine whether the recent global financial crisis has affected this process. Methods used in the article include a systemic analysis of related studies, historical data analysis and statistical testing. The analysis is expanded to cover the alternative interest rate-related variables in order to check the consistency of the pass-through of the litas interest rate over the period from October 2004 to December 2010. Results of the research show that though the lending interest rates have increased and the interest rate relationship has transformed over this period, there is no proof that changes in the bank interest rate setting policy has led to abnormal profits for banks.
Wavelet Methods in Steganography

Wavelet Methods in Steganography E S Yakovleva1, A A Makarov1, V N Gorbachev2, and E M Kainarova2 1Department of Parallel Algorithms, Saint-Petersburg State University, 7/9, Universitetskaya nab. , St. Petersburg, 199034, Russia 2Department of Printing Equipment and Control, High School of Print and Media, SaintPetersburg State University of Industrial Technology and Design, Djambula lane 13, SaintPetersburg, 191180, Russia
Operation Indices for Smart Power Dispatch Center Design

With the development of power systems, power grid within a control area becomes much more complicated due to increasing number of nodes and renewable energy interconnections. The role of power system control center is more critical in maintaining system reliable and security operations. Latest developed information and communication technologies provide a platform to enhance the functions and performance of power system control center. Smart power dispatch concept will be the trend of future control center development. In this paper, we start from the human factors of control center design and propose operation indices to reduce the information presented to the system operator. The operation indices will be the important criteria in situation awareness of a power grid. Past, present, future and capability states of a power grid are also proposed to provide better visions to the operator of system conditions. The basic ideas of operation indices and operation states are discussed in the paper. In the end, the design factors for a power dispatch cockpit are discussed.
FINANCIAL CONSTRAINTS IN CASH MANAGEMENT

Financial constraints are not directly observable, so empirical research relies on indirect measures. Firms are in financial constraints when they face a gap between internal and external cash use and allocated funds. Getting access to the resources of internal funds is of great importance for financially constrained firms. The present study aims to assess firm performance after spending cash holdings and find the extent of its relationship with financial constraints with an emphasis on cash-use in listed companies on Tehran Stock exchange. This study is an applied descriptive one which has used correlative methods. Criteria Filtering Technique has been employed to examine listed companies on Tehran Stock Exchange over a period from 2003 to 2011, and 101 companies were selected. Three criteria of firm size, dividend payout ratio, and localized Kaplan and Zingales index in Iran were used to investigate companies’ financial constraints. The obtained findings show that financial constraint is significantly and reversely effective in cash-use. In other words, more financial constraints bring about more control over cash-use. It also causes less investment in projects with negative net present value which can be considered as the positive effect of financial constraints on cash-use and firm performance.
Semester Project: Statistical Mechanics of Nonequilibrium Systems Survey of Applications to Urban Systems

Cities constitute an exciting object of study from the perspective of statistical mechanics and nonlinear dynamics. First a number of applications of statistical mechanics concepts in the simulation of urban systems in the literature is surveyed. Subsequently numerical simulations of an cellular automaton reaction-diusion urban growth model are carried out on the urban clusters of Europe in 2005.
Fermentative production and kinetics of cellulase protein on Trichoderma reesei using sugarcane bagasse and rice straw

Cellulase a multienzyme made up of several proteins finds extensive applications in food, fermentation and textile industries. Trichoderma reesei is an efficient producer of cellulase protein. The comparative study was made on various carbon sources on the production of cellulase using strains of T. reesei QM 9414, 97.177 and Tm3. Pretreatment of sugarcane bagasse and rice straw offers very digestible cellulose and potentially less inhibition. Cellulase production was enhanced by multiple carbon sources because of diauxic pattern of utilization of substrates. This is the first attempt of combining the synthetic substrate (xylose, lactose) with natural substrate (sugarcane bagasse, rice straw). The mixture of substrates produced the highest maximal enzyme activity on cellulose with xylose, cellulose with lactose, bagasse with xylose, bagasse with lactose, rice straw with xylose and rice straw with lactose. In addition Monod growth kinetics and Leudeking piret product formation kinetics were studied using T. reesei with optimized medium under optimized conditions of inoculum concentration, D.O. level, agitator speed, temperature and pH.
Evaluation of metaheuristics performances in manipulation of alternative routing

This paper presents the results of a simulation study of a typical flexible manufacturing system (FMS) that has routing flexibility. The objective in this study is to compare the following metaheuristics performances (Ant colony, genetic algorithms, simulated annealing, taboo search, particle swarm) with methods of selection of alternative routing in real time DMM (Dissimilarity Maximization Method) and modified DMM (modified Dissimilarity Maximization Method) in order to have an idea on the effectiveness from these metaheuristics and select the most effective. Results obtained after several simulations of this model FMS showed that all metaheuristics clearly improved the production rate, the utilisation ratio of the various machines and the utilisation ratio of the material handling system, for a saturated FMS and even in the presence of breakdowns.
Evaluation of Specific Absorption Rate due to Medical Implant in Near-Field Exposure

This paper presents the effects of conductive medical implant on energy absorbed by the human body and the testicular area when exposed to near field electromagnetic radiation. A dipole antenna is used as the radiating source and it is placed in front of the trousers pocket. Two types of medical implants are used in this study: intramedullary nail and bone plate. Numerical simulations are performed by means of CST Microwave Studio. Results are discussed in terms of changes in SAR values due to the presence of conductive medical implant at 0.4, 0.9, 1.8 and 2.4 GHz. The results have indicated that the conductive intramedullary nail that is located inside the femur significantly increases the SAR. Maximum enhancement in SAR is found when the length of the intramedullary nail is approximately one wavelength of the respective frequency tested. The measurement results indicate good agreements with the simulation results at 2.4 GHz.
What explains output recoveries in developing and emerging market economies after the global financial crisis

This paper presents a systematic assessment of the macroeconomic factors associated with differences in GDP dynamics in emerging markets in the aftermath of the global financial crisis. We implement a Bayesian Model Averaging approach to explore the drivers of economic resilience – measured by the output recoveries for a group of 40 emerging economies after 2008, which allows us to account for the uncertainty in the model selection of the relevant variables. Out of a large group of variables used in the literature on balance of payments crises and early warning indicators, we find that a reduced set of variables is systematically associated with output dynamics after the crisis. Countries with overvalued currencies, current account deficits and larger external liabilities before the global financial crisis exhibit systematically weaker output recoveries afterwards. These findings are robust to different definitions of output recovery, the distribution of priors and exclusion of potential outliers. There is also some evidence, but less systematic, that de facto financial openness, links to European banks, and trade openness had a negative impact on output recoveries.
Key Research of Pre-processing on Mongolian-Chinese Neural Machine Translation

Neural machine translation has recently achieved promising results with the big scale corpus. But there is little research on the small scale corpus, such as Mongolian. Mongolian belongs to the agglutinative language while Chinese is a pictograph. It is necessary to do some pre-processing for both Mongolian and Chinese before training the machine translation. In this paper, we successfully build an attention-based neural machine translation to do the CWMT2009 Mongolian to Chinese translation task. We also use four different approaches, respectively, to do the pre-processing for both Mongolian and Chinese, including segmenting Chinese into character, separating the Mongolian stem from the suffixes, addressing the case suffix and converting Mongolian into Latin. We carry out a lot of experiments to evaluate the approaches. We achieve the best BLEU with the score of 29.56. It is 1.82 points in BLEU score higher than the baseline which is trained with the original Mongolian and the general word segmentation of Chinese. Keywords-Mongolian-Chinese translation; neural machine translation; pre-processing; attention-based
Structure of plant community in tropical deciduous forests of Kanyakumari Wildlife Sanctuary, India

Kothandaraman S, Sundarapandian S. 2017. Structure of plant community in tropical deciduous forests of Kanyakumari Wildlife Sanctuary, India. Biodiversitas 18: 391-400. Plant community structure of two tropical deciduous forest sites (I and II which are in different locations with different terrain characteristics viz., elevation and slope pattern) in Kanyakumari Wildlife Sanctuary, Western Ghats were assessed using standard phytosociological methods. Ten plots of 20 m x 20 m each were laid for woody species enumeration and 40 quadrats of 1 m x 1 m (4 in each plot) for understorey vegetation (herbs and plant species that are < 1 m in height) in each site. Overall, 76 plant species were recorded from 41 families, of which 23 contribute to understory. Site I (62) was twice as speciose as site II (31). Greater diversity index of adult woody vegetation was observed in site I (2.30) than site II (2.01). The woody individuals (diameter at breast height, DBH ≥ 10 cm) were more abundant in site I (518 individuals ha) than site II (448 individuals ha ). The basal area of adult trees in sites I and II are 34.7 m ha and 30.8 m ha respectively. Euphorbiaceae was the most speciose family in both the sites. Twenty-five families in site I and seventeen families in site II were represented by singletons. Diameter classwise distribution of adult trees showed a typical ‘reverse J-shaped’ curve indicating good regeneration status. Concerning understory, site I (19 species) has a greater diversity than site II (six species). The observed differences in the vegetation patterns between the two deciduous forest sites are possibly due to variations in elevation, terrain features and edaphic characteristics.
Oligodendrocyte Tau’s failed quest for microtubules results in myelin decrease and falling

Oligodendrocytes make a good-sized myelin that surrounds axons and allows humans to walk and see. In contrast, when axons do not get enough myelin, axonal function is incapacitated, with resulting deficits in cognition, behavior, and in the ability to move. In order to make sufficient myelin, each oligodendrocyte extends as many as 50 branches to reach all the distant axons. The capacity of each oligodendrocyte to extend these branches relies on the microtubules, which are the oligodendrocyte’s bridges to reach the distant shores, the axons. Microtubule strength is regulated by many factors, including the Tau protein, which is a microtubule-associated protein. The binding of Tau to the microtubules makes the microtubules healthy, which assists oligodendrocytes in reaching the axons with a good-sized myelin.
RETRACTED: Extensive Studies on X-Ray Diffraction of Green Synthesized Silver Nanoparticles

Short Retraction Notice The substantial portions of the text came from T.Theivanthi et.al., "Electrolytic Synthesis and Characterization of Silver Nanopowder". This article has been retracted to straighten the academic record. In making this decision the Editorial Board follows COPE's Retraction Guidelines. Aim is to promote the circulation of scientific research by offering an ideal research publication platform with due consideration of internationally accepted standards on publication ethics. The Editorial Board would like to extend its sincere apologies for any inconvenience this retraction may have caused. Guiding this retraction: ANP Editorial Office The full retraction notice in PDF is preceding the original paper which is marked "RETRACTED".
Rapid SO2 emission reductions significantly increase tropospheric ammonia concentrations over the North China Plain

Abstract. The North China Plain has been identified as a significant hotspot of ammonia (NH3) due to extensive agricultural activities. Satellite observations suggest a significant increase of about 30 % in tropospheric gas-phase NH3 concentrations in this area during 2008–2016. However, the estimated NH3 emissions decreased slightly by 7 % because of changes in Chinese agricultural practices, i.e., the transition in fertilizer types from ammonium carbonate fertilizer to urea, and in the livestock rearing system from free-range to intensive farming. We note that the emissions of sulfur dioxide (SO2) have rapidly declined by about 60 % over the recent few years. By integrating measurements from ground and satellite, a long-term anthropogenic NH3 emission inventory, and chemical transport model simulations, we find that this large SO2 emission reduction is responsible for the NH3 increase over the North China Plain. The simulations for the period 2008–2016 demonstrate that the annual average sulfate concentrations decreased by about 50 %, which significantly weakens the formation of ammonium sulfate and increases the average proportions of gas-phase NH3 within the total NH3 column concentrations from 26 % (2008) to 37 % (2016). By fixing SO2 emissions of 2008 in those multi-year simulations, the increasing trend of the tropospheric NH3 concentrations is not observed. Both the decreases in sulfate and increases in NH3 concentrations show highest values in summer, possibly because the formation of sulfate aerosols is more sensitive to SO2 emission reductions in summer than in other seasons. Besides, the changes in NOx emissions and meteorological conditions both decreased the NH3 column concentrations by about 3 % in the study period. Our simulations suggest that the moderate reduction in NOx emissions (16 %) favors the formation of particulate nitrate by elevating ozone concentrations in the lower troposphere.
WAVELETS AND PRINCIPAL COMPONENT ANALYSIS METHOD FOR VIBRATION MONITORING OF ROTATING MACHINERY

Fault diagnosis is playing today a crucial role in industrial systems. To improve reliability, safety and efficiency advanced monitoring methods have become increasingly important for many systems. The vibration analysis method is essential in improving condition monitoring and fault diagnosis of rotating machinery. Effective utilization of vibration signals depends upon effectiveness of applied signal processing techniques. In this paper, fault diagnosis is performed using a combination between Wavelet Transform (WT) and Principal Component Analysis (PCA). The WT is employed to decompose the vibration signal of measurements data in different frequency bands. The obtained decomposition levels are used as the input to the PCA method for fault identification using, respectively, the Q-statistic, also called Squared Prediction Error (SPE) and the Q-contribution. Clearly, useful information about the fault can be contained in some levels of wavelet decomposition. For this purpose, the Q-contribution is used as an evaluation criterion to select the optimal level, which contains the maximum information. Associated to spectral analysis and envelope analysis, it allows clear visualization of fault frequencies. The objective of this method is to obtain the information contained in the measured data. The monitoring results using real sensor measurements from a pilot scale are presented and discussed.
Design of artificial neural network models for the estimation of distribution system voltage insulators' contamination

The contamination of insulators with diverse substances is one of the main causes for failures on overhead distribution lines. Insulators' periodic maintenance has been proved that can reduce and prevent the outages caused by contamination. In the recent years artificial neural networks (ANN) have attracted much attention and many interesting ANN applications have been reported in power system areas, due to their computational speed, their ability to handle complex non-linear functions, robustness and great efficiency, even in cases where full information for the studied problem is absent. In this paper, several ANN models were addressed to identify the insulators' contamination. Each model has been constructed using different structures, learning algorithms and transfer functions in order the best generalizing ability to be achieved. Actual input and output data, collected from the Hellenic distribution system, were used in the training, validation and testing process. A comparison among the developed neural network models was performed in order the most suitable model to be selected. Finally the selected ANN model was applied on operating voltage insulators, presenting results similar to the experimental ones.
Image Sharing in Clouds based on N-ServerForward Re-encryption System

Cloud computing technology can be utilized in medical domain to make it useful for the humanity by providing solution for electronically sharing medical images securely over the Internet. The medical image storage in a public cloud or a third party cloud system can mystify the confidentiality and integrity of data. Hence to provide a secure access for the medical images stored in the cloud, we propose a n-server forward re-encryption scheme incorporated with d-dimensional erasure codes. The distributed image storage system not only provides secure image storage but also provides image forwarding and retrieval of images. The key management is done by the key servers thereby reducing the overhead for users. The key aspect of the n-server encoding scheme is the encoding of the encrypted medical images for storage and forwarding or retrieval of those images based on authenticated request. The proposed secure cloud storage system provides secure data storage and secure data forwarding functionality in a decentralized structure.