Miracle-dz/UniFAR-FTUs huggingface dataset:
Formulation of Sustained Release Aceclofenac Matrix tablets using Prunus Armenica L . Gum as a release retardant

INTRODUCTION Matrix devices, due to their chemical inertness, drug embedding ability and drug release character, have gained steady popularity for sustaining the release of a drug. [1, 2] Aceclofenac is newer derivative of diclofenac and having less GIT complication, with short biological half-life 4 h, and dosing frequency more than one time make it an ideal. [3] Hydrophilic matrices are an interesting option when developing an oral sustained release formulation. The drug release from such matrices can be controlled through their physical properties. [4,5] Hydrophilic materials such as HPMC, Guar gum and Xanthan gum are used as a release retardant in the sustained formulations. The hydrophilic polymers are swells and the drug was release through the diffusion method. [6, 7] The aim of the present study is to develop matrix tablets of Aceclofenac with Prunus armeniaca L. gum and to study the functionality of Prunus armeniaca L. gum as a matrix forming/ release retardant for sustained release tablet formulations. The drug for the present study is reported to have short half life 3-4 h, usually absorbed to a large extent in the region of small intestine and causes gastic irritation in stomach. Drug selected for the present study is an ideal candidate for formulation of sustained release matrix tablet, as it has short half life, absorbed from small intestine and for elimination of gastric irritation.
An Econometric Study of the Labor Demand in Hong Kong

Based on one of the feature articles entitled “The Situation of the Four Key Industries in the Hong Kong Economy in 2010” that appeared in the February 2012 issue of the Hong Kong Monthly Digest of Statistics, ‘Trading and Logistics’ is one of the Four Key Industries in the Hong Kong Economy. The value added of this sector is the largest in the Hong Kong Economy and its share in GDP in 2010 was 25.3%. In view of its importance in the labor market by absorbing 22.4% of the total employment in Hong Kong in 2010, the purpose of this study is to investigate factors that affect behind this sector. To give insights into the relationship between the labor demand and factors, our objective is to formulate an effective econometric model to estimate and predict the labor demand in the trading industry in Hong Kong. By utilizing with Cobb-Douglas production function and firm’s minimization principle, we derive the conditional labor demand function which is dependent on the wage rate, unit cost of capital and value added and formulate the econometric model. By examining and checking the historical data, we found that factors (such as Labor Wage) and major events (such as Financial Crisis) affect the labor demand. We will include dummy variables in the econometric model to model major events and improve prediction. This presentation will describe the econometric model used in this study. Our findings will advance our understanding of the labor demand in Hong Kong’s trading industry.
O ct 2 01 2 Wireless Information Transfer with Opportunistic Energy Harvesting

Energy harvesting is a promising solution to prolong the ope ration of energy-constrained wireless networks. In particular, scavenging energy from ambient radio signals, namelywireless energy harvesting (WEH), has recently drawn significant attention. In this paper, we consider a poi nt-to-point wireless link over the narrowband flat-fading channel subject to time-varying co-channel interference. It is assumed that the receiver has no fixed power supplies and thus needs to replenish energy opportunistically via WE H from the unintended interference and/or the intended signal sent by the transmitter. We further assume a single-a nt nna receiver that can only decode information or harvest energy at any time due to the practical circuit limit ation. Therefore, it is important to investigate when the receiver should switch between the two modes of information decoding (ID) and energy harvesting (EH), based on the instantaneous channel and interference condition. In t his paper, we derive the optimal mode switching rule at the receiver to achieve various trade-offs between wireless in formation transfer and energy harvesting. Specifically, we determine the minimum transmission outage probability for delay-limited information transfer and the maximum ergodic capacity for no-delay-limited information transf er versus the maximum average energy harvested at the receiver, which are characterized by the boundary of so-cal led “outage-energy” region and “rate-energy” region, respectively. Moreover, for the case when the channel state information (CSI) is known at the transmitter, we investigate the joint optimization of transmit power contr ol, information and energy transfer scheduling, and the receiver’s mode switching. The effects of circuit energy co nsumption at the receiver on the achievable rate-energy trade-offs are also characterized. Our results provide use ful guidelines for the efficient design of emerging wireless communication systems powered by opportunistic WEH. Index Terms Energy harvesting, wireless power transfer, power control , fading channel, outage probability, ergodic capacity.
ect of Diversification under Di ff erent Ownership Structures and Economic Conditions : Evidence from the Great Recession

The effect of corporate diversification on firm performance has been extensively documented in the literature. In the general finance literature, Kuppuswamy and Villalonga (2015) studied the diversification effect during the 2007–2009 financial crisis and found that diversification adds value in the presence of external financing constraints. Motivated by this finding, we investigate whether a similar effect applies to insurance firms and we develop hypotheses for their different ownership structures (stock vs. mutual insurers; and group vs. non-group affiliated insurers). Using a sample of property-liability insurers over a period of 2004 to 2013, we find that the effect of diversification on performance is contingent on ownership structures and economic conditions. The diversification effect for stock insurers and insurers affiliated with a group is not significantly affected by economic conditions. However, the diversification effect for mutual insurers and non-affiliated insurers is reversed during the financial crisis. More specifically, diversified firms with these kinds of ownership structures perform better than focused firms during normal economic conditions, but their performance was significantly worse during the financial crisis. Our results are robust to alternative measures of performance and diversification, and to corrections for endogeneity. Our study contributes to the diversification literature by showing how the effect of diversification varies with ownership structure under different economic conditions and the results shed light on the specific circumstances in which diversification can improve or reduce performance.
Terascale knowledge acquisition

Performances of many Natural Language Processing (NLP) systems have reached a plateau using existing techniques. There seems to be a general consensus that systems have to integrate semantic knowledge or world knowledge in one form or another in order to provide additional information required to improve the quality of results. But building adequate and large enough semantic resources is a difficult unsolved problem. In my thesis, I attack the problem of very large scale acquisition of semantic knowledge by exploiting natural language text available on the Internet. In particular, I concentrate on one problem: extracting is-a relations from a very large corpus (70 million web pages, 26 billion word corpus) downloaded from the Internet. Since the amount of data involved is greater by two orders of magnitude than published before, the algorithms designed had to be highly scalable. This was achieved by: (1) Using a novel Pattern-based learning algorithm that exploits local features. (2) Using a Clustering algorithm that uses randomized techniques by exploiting cooccurrence (global) features in linear time. Using these algorithms, I extract is-a relations from text to build a huge table. These extracted relations are then evaluated by using a host of different applications.
In Vitro Germination and Viability Testing of Nipa ( Nypa fructicans Wurmb . ) Pollen under Different Storage Conditions

1Department of Biological Sciences and Environmental Studies (DBSES), College of Science and Mathematics (CSM), University of the Philippines (UP) Mindanao, Mintal, Davao City 8022 Philippines 2formerly affiliated with DBSES, CSM, UP Mindanao; Davao Doctor’s College, Gen. Malvar St., Davao City 8000 Philippines 3formerly affiliated with the Institute of Biology, UP Diliman, Quezon City 1101 Philippines
Revision 1 DFT simulation of the occurrences and correlation of gold 1 and arsenic in pyrite 2

9 Using density functional theory (DFT) calculations, the occurrences and 10 correlation of gold (Au) and arsenic (As) in pyrite were studied, and the effect of As 11 on the structural stability of Au in pyrite (FeS2) was investigated. The calculated 12 results show that Fe is not likely to be simply substituted with Au under normal 13 circumstances. The presence of As is very conducive to incorporating Au into the 14 pyrite interstitial lattice site along with substitution for the S site. It is predicted that a 15 positive correlation exists between Au and As in pyrite and that the higher is the As 16 concentration, the more easily Au is formed in the pyrite. Additionally, with 17 increasing As content, the Fe site is occupied by the interstitial Au. The pyrite lattice 18 expands with the incorporation of Au and As. Antibonding interactions are found 19 between the Au, Fe and As atoms. The reducibility of pyrite is greatly enhanced due to 20 the presence of Au and As. The electronic structure calculations show that substituting 21 * E-mail: lyq198205@163.com This is a preprint, the final version is subject to change, of the American Mineralogist (MSA) Cite as Authors (Year) Title. American Mineralogist, in press. (DOI will not work until issue is live.) DOI: http://dx.doi. org/10.2138/am.2013. 4396 5/22 Always consult and cite the final, published document. See http://www.minsocam. org or GeoscienceWorld Au and As for S atoms does not change the pyrite p-type property and that defect 22 energy levels are present in the conduction band. However, with increasing As 23 concentration, incorporating the interstitial site of Au causes a change from the p-type 24 pyrite to an n-type pyrite, and defect energy levels are mainly located in the energy 25 band gap. The interstitial site of Au causes the pyrite to be spin-polarized at certain As 26 content. In addition, strong interactions are found between Fe 3d and Au 6p orbitals 27 and between Au 5d and As 4p orbitals. 28
STANDARDIZATION AND QUALITY EVALUATION OF OPTIMIZED FOOD FORMULATIONS BASED ON ALOE

Aloe vera gel, well known for its neutracutical potential, is being explored as a functional ingredient in a wide array of health foods and drinks. Aloe vera’s health benefits include anti-inflammatory, immune modulating and anti-tumour, antifungal properties and also used in food applications. Considering the above factors, the study was selected to formulate the optimized food beverages (squash) from Aloe vera. In the present study the freshly prepared Aloe vera juice was preferred as main ingredient for developing squashes, in combination with mango ginger juice, ginger juice, lemon juice and pink guava extract. The developed squashes were analysed based on the qualities such as physicochemical parameters, phytochemical properties, antioxidant activity and sensory qualities. Various experimental trials were employed with different combinations of the Aloe vera with other ingredients to standardize the composition. Based on the overall acceptability of the squashes, Aloe vera ginger lemon squash scored highest (5.0) by the panellists in the sensory evaluation. The selected physico-chemical parameters were total soluble solids, titrable acidity, total sugar, PH and ascorbic acid. The phytochemicals assessed were phenols and flavonoid contents. The total phenol content was found to be highest (438 mg/100 ml) in the Aloe vera pink guava lemon squash. The analysis of the total flavonoid content of the developed products revealed that Aloe vera pink guava lemon squash contained the highest amount (80.32 mg/100 ml) of flavonoids. The antioxidant activity analysed through DPPH method in the samples showed that Aloe vera pink guava lemon squash has the increased radical scavenging activity when compared with other samples (IC50 value 0.71μg/ml). In summary the total phenolic, flavonoid and antioxidant activity were found to be highest in Aloe vera pink guava lemon squash. In the shelf life study results was better for samples kept under refrigeration in amber colour glass bottles than those stored in room temperature. The results of the present study indicated the consumer acceptability of Aloe vera products in consumable form. Here it was also revealed that the three combinations of developed products like Aloe vera mango ginger lemon, Aloe vera pink guava and Aloe vera ginger lemon can be recommended as a good source of phenol, flavonoid and antioxidant. Thus, future attempts can be made to further explore the utilization of Aloe vera in different food products. From the above study and the results revealed, it can be concluded that Aloe vera, the magic plant has great potential in medicinal and nutritional properties and hence can be recommended for enhancing the nutritional quality of beverages in food industry.
Wireless Irrigation and Monitoring system using Zigbee and IoT

This paper presents wireless irrigation and monitoring system was enunciate to improve the usage of water for the agricultural crops. We design the system using temperature sensor and soil moisture sensor with help of these sensors prepare distributed wireless sensor network. In addition with the sensors we use the zigbee to transfer the data of information to main microcontroller to measure the sensor values and used the valves to irrigate the plot according to the schedules are assigned. The system gets started when the measured values are reached to threshold value then automatically plot gets irrigate or we can assign the schedules in system as per the schedules system get work. We newly add the dry run circuit in wireless irrigation system to protect the water motor from damage. Using the wireless irrigation system we decrease the manual efforts and reduce the water usage with low power consumption that means it save electricity.
Influence of Age and Gender on Heart Rate Variability : An Analysis Using Different Non-Linear Techniques

Heart Rate Variability Analysis involves one of the emerging tools to study the autonomic activity of the human heart. Recent researches on HRV have suggested that besides traditional linear analysis techniques, the non-linear parameters can also provide valuable information for the physiological interpretation of heart rate fluctuations. This paper presents a comprehensive characterization of HRV using various non-linear parameters based on age and gender in order to establish physiological correlates. The study population comprises of 321 male and female subjects from various tea-gardens located in the North Eastern regions of West Bengal. Suunto T6 Heart Rate Monitor was used for the acquisition of RR interval series and the analysis of the data was carried out using Kubios HRV 2.0 and PSPP software. The statistical analysis was performed to bring out a comparison between the male and female population, using paired t-test and Pearson’s correlation. Irrespective of the gender, subjects in the >40 years category were associated with lower variability in the HRV signal, i.e. decrease in FD, CD, ApEn, SanEn, SD1/SD2, PLS and an increase in REC, DET and Lmax. The present study establishes that increasing age is associated with poorer cardiovascular health and outcomes for the population under study.
Everyone is Different: Client-side Diversification for Defending Against Extension Fingerprinting

Browser fingerprinting refers to the extraction of attributes from a user’s browser which can be combined into a nearunique fingerprint. These fingerprints can be used to reidentify users without requiring the use of cookies or other stateful identifiers. Browser extensions enhance the clientside browser experience; however, prior work has shown that their website modifications are fingerprintable and can be used to infer sensitive information about users. In this paper we present CloakX, the first client-side antifingerprinting countermeasure that works without requiring browser modification or requiring extension developers to modify their code. CloakX uses client-side diversification to prevent extension detection using anchorprints (fingerprints comprised of artifacts directly accessible to any webpage) and to reduce the accuracy of extension detection using structureprints (fingerprints built from an extension’s behavior). Despite the complexity of browser extensions, CloakX automatically incorporates client-side diversification into the extensions and maintains equivalent functionality through the use of static and dynamic program analysis. We evaluate the efficacy of CloakX on 18,937 extensions using large-scale automated analysis and in-depth manual testing. We conducted experiments to test the functionality equivalence, the detectability, and the performance of CloakX-enabled extensions. Beyond extension detection, we demonstrate that client-side modification of extensions is a viable method for the late-stage customization of browser extensions.
Effect of Slow Release Urea Supplementation ( Optigen ® ) on the Production Performance of Kaghani sheep

| The study was conducted to evaluate the effect of slow release urea supplementation (Optigen®) on the growth performance of grazing Kaghani sheep with special reference to weight gain, fleece weight and wool quality. Thirty healthy post-weaned male lambs of Kaghani sheep were selected and divided into two groups viz Group-A (treated group) and Group-B (control group) containing fifteen animals each. Sheep in both groups were kept on grazing and maize silage feeding ad libitum; however sheep in group A were additionally supplemented with Optigen® at the dose rate of 10 grams/animal twice a day for 60 days. The animals were weighed individually at the start of experiment and weekly thereafter. Sheep were shorn at the end of experiment and fleece weight was recorded. The fiber types were determined by Benzol method before and after the experiment. Average body weight and fleece weight of animals treated with Optigen® was significantly (P<0.05) higher as compared to control group. True, kemp and modulated fiber’s quality was significantly (P<0.05) improved except heterotypical fiber with the Optigen® supplementation. It was concluded that slow release urea supplementation (Optigen®) with maize silage feeding was effective in increasing body weight, fleece weight and wool quality in growing lambs.
Development of methods and algorithms of technical vision for detecting the defect longitudinal crack on sheet metal

The paper presents a mathematical model of a fuzzy subset of a defect in a digital image and is described as a piecewise constant function. The analysis of the filtering of the flaw detection image is given to ensure the implementation of the quantization algorithm of detection with subsequent adaptive binarization of the obtained result. The developed method makes it possible to detect a sheet metal defect of the longitudinal crack type and calculate various geometric parameters of this defect. This approach allows not only to see the detection of a longitudinal crack, but also to minimize the errors of the second level of false positives on flaw detection images. The above result is compared with the annotation of the flaw detector and with the YOLOv3 neural network.
Impact of CO 2 on the Evolution of Microbial Communities Exposed to Carbon Storage Conditions , Enhanced Oil Recovery , and CO 2 Leakage

1 1. INTRODUCTION.2 1.1 INTRODUCTION . 2 1.2 PROBLEM IDENTIFICATION . 2 1.3 RESEARCH OBJECTIVES AND PROJECT STRUCTURE . 3 2. METHODS . 5 2.1 SITE BACKGROUND . 5 2.2 PRESSURIZED VESSEL EXPOSURE EXPERIMENTS . 5 2.3 MICROBIAL COMMUNITY ANALYSIS . 6 2.4 CHEMICAL ANALYSIS (GAS AND LIQUID) . 8 2.5 WATER CHEMISTRY MODEL . 8 3. OBSERVATIONS . 9 3.1 IMPACT OF CO2 ON THE EVOLUTION OF MICROBIAL COMMUNITIES FROM THE ARBUCKLE SALINE AQUIFER . 9 3.2 IMPACT OF CO2 ON THE EVOLUTION OF MICROBIAL COMMUNITIES FROM THE MIRANDO OIL RESERVOIR . 16 3.3 IMPACT OF CO2 ON THE EVOLUTION OF MICROBIAL COMMUNITIES FROM THE PLANT DANIEL FRESHWATER AQUIFER . 21 3.4 COMPARISON OF IMPACT OF CO2 ON THE EVOLUTION OF MICROBIAL COMMUNITIES . 29 3.5 FAILED EXPERIMENTS . 34 4. CONCLUSIONS . 39 4.1 CONCLUSIONS AND CONTRIBUTIONS . 39 4.2 IMPLICATIONS . 39 4.3 FUTURE WORK . 40 5. REFERENCES . 42 APPENDIX A: SUPPLEMENTARY FIGURES . A-1 APPENDIX B: SUPPLEMENTARY TABLES . B-1 Impact of CO2 on the Evolution of Microbial Communities Exposed to Carbon Storage Conditions, Enhanced Oil Recovery, and CO2 Leakage II This page intentionally left blank. Impact of CO2 on the Evolution of Microbial Communities Exposed to Carbon Storage Conditions, Enhanced Oil Recovery, and CO2 Leakage
Coat protein-mediated resistance against an Indian isolate of the Cucumber mosaic virus subgroup IB in Nicotiana benthamiana

Cucumber mosaic virus (CMV), the type species of the genus Cucumovirus of the family Bromoviridae, is an important plant pathogen worldwide, which infects many crops and causes yield losses. The particles are polyhedral virions which encapsidate three linear, plus sense and single-stranded genomic RNAs. The CMV genome encodes fi ve proteins which are distributed on three genomic RNAs (RNA 1, 2 and 3). The coat protein (CP) of CMV is encoded by RNA 3 but is expressed from the subgenomic RNA 4 (Palukaitis and Garcia-Arenal 2003). The CP is required for host range, encapsidation (Suzuki et al 1991), systemic virus movement (Canto et al 1997) and aphid transmission (Ng et al 2000). Cuozzo et al (1988) fi rst demonstrated engineered resistance against CMV utilizing the CP gene. Since then, many examples of CP-mediated resistance in varying degrees have been described, with different constructs in different hosts (Beachy et al 1990; Fitchen and Beachy et al 1993; Palukaitis and Garcia-Arenal 2003). Different mechanisms also appear to be responsible for protection, depending on the virus group or the viral transgene studied (Loesh-Fries et al 1987; Lomonossoff 1995). Resistance could be mediated either by the protein encoded by the transgene (proteinmediated) or by the transcript produced from the transgene (RNA-mediated), also known as post-transcriptional gene silencing (PTGS), or both (Varma et al 2002). In this report, we demonstrate virus resistance in transgenic N. benthamiana model plants expressing the CP gene of CMV isolated from Amaranthus (CMV-A) in India and characterized as a member of the subgroup IB (Srivastava et al 2004). Though there are several reports from different parts of the world demonstrating transgenic resistance utilizing the CP gene from CMV subgroup IA or II, a report from a subgroup IB strain is still awaited (Palukaitis and Garcia-Arenal 2003). The prevalence of CMV IB infection has been noted in several crop species in India such as banana (Srivastava et al 1995), tomato (GenBank Acc. EF710773), black pepper (Bhat et al 2004), Amaranthus Coat protein-mediated resistance against an Indian isolate of the Cucumber mosaic virus subgroup IB in Nicotiana benthamiana