Miracle-dz/UniFAR-FTUs huggingface dataset:
Phytochemical Screening and Fluorescence Analysis of Methanolic Flower Extracts of Punica granatum

DOI: 10.21276/sajp.2017. 6.9. 2 Abstract: To determine various phytoconstituents present in flowers of Punic granatum. Qualitative phytochemical analysis and fluorescence analysis was done by standard methods. The Phytochemical tests were carried out on the extracts using standard procedures to identify the constituents. The preliminary Phytochemical tests of methanolic flowers extract of P. granatum (L.) were screened for the presence of active principles such as carbohydrates, glycosides, fatty acids, protein and amino acids, saponins, tannins, phenolic compounds, β-sitosterols, triterpenoids, anthocyanins and flavonoids using standard procedures. The result of fluorescence analysis showed that in visible light, the plant powder exhibit various shades of green and brown fluorescence and various shades of green, blue and brown were found in under UV light. The results of the present study suggest that flowers have various phytoconstituents that can act as a source of natural antioxidants and can be used for the development of plant based drugs.
Interim Progress Report for CDFA Agreement Number 15-0214 SA GENOME EDITING OF TAS 4 , MIR 828 AND TARGETS MYBA 6 / A 7 : A CRITICAL TEST OF XYLELLA FASTIDIOSA INFECTION AND SPREADING MECHANISMS IN PIERCE

The most damaging effect of PD other than death of the vine is the reduction of production and shriveling of fruits. Our working model of PD etiology postulates microRNA828 (miR828) and evolutionarily-related Trans-Acting Small-interfering locus4 (TAS4) activities silence target VvMYBA6/A7 and other homologous MYB targets' expression in response to Xylella fastidiosa (XF) infection, mediated through inorganic phosphate (Pi) known in other species to regulate miR828 and other miRNA expressions . New deep sequencing transcriptomeand small RNA-Seq datasets were characterized in the March 2017 Interim Progress Report, datadriven results which validated miR828 as target and identified other phosphate-regulated miRNAs (miR827, miR399) as additional nodes in a network of miRNA and phased, small-interfering RNA (phasiRNA) effectors of PD etiology. We showed up-regulation of vvi-miR399ig and mis-regulation of downstream PHT1;4L family members by XF, and significant up-regulation of Major Facilitator Superfamily/SPX supporting the notion that phosphate homeostasis is key to XF disease etiology via phosphate-regulated miR828, -827, and -399. Other independent evidence supports our hypothesis: overexpression in Arabidopsis of Secreted Aster Yellows phytoplasma strain Witches’ Broom Protein11 (SAP11) suppresses plant defense responses by triggering accumulation of cellular Pi. This result is consistent with observed increased expression of Pi starvation-induced miRNAs and altered Pi in XF-infected samples, described in prior progress reports. We found additional compelling evidence in the literature supporting our phosphate-regulation XF etiology model: in Arabidopsis infected with XF, genome-wide transcriptome analysis showed TAS4 siRNA target MYB PRODUCTION OF ANTHOCYANIN PIGMENT1/MYB75 and another phosphate-regulated locus, At5g20150/SPX DOMAIN, which is a positive regulator of cellular responses to phosphate starvation and subject to miR827 regulation , are both strongly down regulated by XF infection. Furthermore, mis-regulation of VvSPX1 and grapevine phosphate transporter VvPHT2;1 subject to miR399 regulation 8 are significantly down-regulated eight weeks after XF infection.
Chirality-dependent boron-mediated growth of nitrogen-doped single-walled carbon nanotubes

A change in the relative abundance of single-walled carbon nanotubes, due to the presence of both nitrogen and boron during synthesis, has been identified through Raman and absorption spectroscopy. Raman spectroscopy shows that for two specific branches boron mediates the growth of smaller-diameter zigzag or near-zigzag nanotubes. We combine our experimental results with an improved Kataura model to identify two of the preferentially grown species as 16,0 and 14,1.
Vulnerability Trends in IoT Devices and New Sensor-Assisted Security Protections

Internet of Things (IoT) devices are found everywhere: in our houses as voice-assistant devices, home automation smart devices, or smart appliances. As our lives become more dependent on these systems, their security has become an important growing concern. To systematically study the security and privacy issues in IoT devices, we obtained over 40 IoT devices in our Cyber-Physical Systems Security Laboratory at UTD. These devices represent a wide range of consumer products including smart children toys, consumer drones, surveillance systems, smart home devices, and voice-enabled personal assistant devices.
THE JOURNEY FROM miRNA TRANSCRIPT TO GENE REPRESSION

Once regarded as a biological anomaly, microRNAs (miRNAs) have since been recognized as a prevalent RNA species that regulates a wide array of biological processes, from fat storage and insulin secretion, to apoptosis and cell growth. Recent studies show that miRNAs are expressed at precise times and locations in embryonic development. Moreover, disruption of miRNA processing triggers widespread developmental defects. These findings bolster the idea that miRNAs also regulate multiple aspects of embryonic development. This primer focuses on the emerging roles of miRNAs in development. The basics of miRNA biogenesis and miRNA and mRNA target identification are covered, with an emphasis on miRNA function in development. The primer also features a dialog about current topics in the field. Developmental Dynamics 235:846–853, 2006. © 2006 Wiley-Liss, Inc.
An analysis of rotation matrix and colour constancy data augmentation in classifying images of animals

ABSTRACT In this paper, we examine a novel data augmentation (DA) method that transforms an image into a new image containing multiple rotated copies of the original image. The DA method creates a grid of cells, in which each cell contains a different randomly rotated image and introduces a natural background in the newly created image. We investigate the use of deep learning to assess the classification performance on the rotation matrix or original dataset with colour constancy versions of the datasets. For the colour constancy methods, we use two well-known retinex techniques: the multi-scale retinex and the multi-scale retinex with colour restoration for enhancing both original (ORIG) and rotation matrix (ROT) images. We perform experiments on three datasets containing images of animals, from which the first dataset is collected by us and contains aerial images of cows or non-cow backgrounds. To classify the Aerial UAV images, we use a convolutional neural network (CNN) architecture and compare two loss functions (hinge loss and cross-entropy loss). Additionally, we compare the CNN to classical feature-based techniques combined with a k-nearest neighbour classifier or a support vector machine. The best approach is then used to examine the colour constancy DA variants, ORIG and ROT-DA alone for three datasets (Aerial UAV, Bird-600 and Croatia fish). The results show that the rotation matrix data augmentation is very helpful for the Aerial UAV dataset. Furthermore, the colour constancy data augmentation is helpful for the Bird-600 dataset. Finally, the results show that the fine-tuned CNNs significantly outperform the CNNs trained from scratch on the Croatia fish and the Bird-600 datasets, and obtain very high accuracies on the Aerial UAV and Bird-600 datasets.
LANDFILL LEACHATE RECIRCULATION. PART I: SOLID WASTE DEGRADATION AND BIOGAS PRODUCTION

Anaerobic degradation (AD) of municipal solid waste (MSW) depends on the moisture and nutrient distribution within the bioreactor; these factors are affected by leachate recirculation. In this work, the effects of leachate recirculation of 15 to 120 by volume percentage (%V) on AD were studied. The ojectives of this study are as follows: a) to determine which recirculation rate provides the best conditions for accelerated anaerobic degradation (AD) and b) to determine the optimal range of recirculation rates for methane (CH4) generation. In the first group of experiments, denoted as the exploratory range, laboratory-scale bioreactors (LSBs) were operated at leachate recirculation rates of 15, 30, 60 and 120% V. In a second group of experiments (denoted as narrowed range), a group of seven LSBs were operated at rates of 40, 60 and 80% V, and seven were employed as control, without recirculation. In this stage, LSBs were periodically dismantled to allow testing of the digested MSW. The AD rate was monitored for 201 days along with other variables, including the total volatile solids, holocellulose, lignin, organic carbon, total nitrogen and pH of the MSW matrix, the characteristics of the produced and recirculated leachates and CH4 production rates. The results indicated that methane production during the methanogenic fermentation stage is directly correlated with the recycling rates. The 120%V recirculation rate was observed to cause washout in the waste matrix. The suggested range on the basis of CH4 generation per liter of recirculated leachate was 30 to 40% V.
A UAV-Based Visual Inspection Method for Rail Surface Defects

: Rail surface defects seriously affect the safety of railway systems. At present, human inspection and rail vehicle inspection are the main approaches for the detection of rail surface defects. However, there are many shortcomings to these approaches, such as low efﬁciency, high cost, and so on. This paper presents a novel visual inspection approach based on unmanned aerial vehicle (UAV) images, and focuses on two key issues of UAV-based rail images: image enhancement and defects segmentation. With regards to the ﬁrst aspect, a novel image enhancement algorithm named Local Weber-like Contrast (LWLC) is proposed to enhance rail images. The rail surface defects and backgrounds can be highlighted and homogenized under various sunlight intensity by LWLC, due to its illuminance independent, local nonlinear and other advantages. With regards to the second, a new threshold segmentation method named gray stretch maximum entropy (GSME) is presented in this paper. The proposed GSME method emphasizes gray stretch and de-noising on UAV-based rail images, and selects an optimal segmentation threshold for defects detection. Two visual comparison experiments were carried out to demonstrate the efﬁciency of the proposed methods. Finally, a quantitative comparison experiment shows the LWLC-GSME model achieves a recall of 93.75% for T-I defects and of 94.26% for T-II defects. Therefore, LWLC for image enhancement, in conjunction with GSME for defects segmentation, is efﬁcient and feasible for the detection of rail surface defects based on UAV Images.
(ASD). Here we aimed to characterise the IS-self-regulation-anxiety inter-relationship by investigating the potential contribution made by self-regulation, assessed via effortful control (EC), to the IS-anxiety relationship in a sample of adolescents and young adults with ASD. Method: Seventy-one ol

Background: Both self-regulation and insistence on sameness (IS) are related to anxiety, which is a common feature of individuals with autism spectrum disorder (ASD). Here we aimed to characterise the IS-self-regulation-anxiety inter-relationship by investigating the potential contribution made by self-regulation, assessed via effortful control (EC), to the IS-anxiety relationship in a sample of adolescents and young adults with ASD. Method: Seventy-one older adolescents and younger adults with ASD (49 males, 22 females; Mage= 18.71 years, SD= 2.51, range: 14.42-24.81) completed the Adult Repetitive Behaviour Questionnaire-2, Effortful Control Scale of the Adult Temperament Questionnaire and the DSM-5 Dimensional Anxiety Scales . Results: IS was associated with both EC (r = -.39, p = .001) and anxiety ( r = .45, p < .001), and anxiety was in turn associated with EC (r = -.44, p < .001). To characterise the nature of this interrelationship, two mediation analyses were performed using the serial mediation model in PROCESS with 5000 resamples in bootstrapping. There was a significant indirect effect of EC on anxiety, through IS ( b = -.06; BCa 95% CI [-.13, -.02]), and indirect effect on anxiety through EC (b = 1.62; BCa 95% CI [.59, 3.24]) with the mediators accounting for 29.07 % and 26.04% of the total effect, respectively. Conclusion: Our study provides the first exploration of the IS-anxietyself-regulation link in ASD. The finding that lower levels of self-regulation are related both to anxiety and IS behaviours, points to self-regulation as a viable intervention target for both anxiety and IS behaviours.
The Influence of Training, Placement and Motivation on the Performance of Employees of Balai Besar Bahan dan Barang Teknik (B4T) Bandung

The growth of institutions engaged in technical services business is a challenge in improving service quality and industrial competitiveness for B4T. Conducive business climate supports the growth of B4T customers. This research is descriptive research by using census which aims to obtain description of a condition or condition about the effect of training, placement and motivation on the performance of employees of Balai Besar Bahan dan Barang Teknik (B4T) Bandung. Data analysis method used in this research is analysis of criteria range, multiple linear regression analysis and SEM-PLS analysis. The results showed that employee perceptions of training, placement, motivation and employee performance are good. The results of this study using multiple regression analysis showed that training, placement and motivation simultaneously affect the employee performance. Partially, motivation significantly affects the employee performance, but training and placement did not significantly affect employee performance. The result of SEMPLS analysis shows that motivation significantly affect employee performance, while training and work placement do not have real effect to the employee performance.
Isolation and Characterization of Extracellular Lipase Producing Bacterial Isolates From Effluent Waste of Paint Industry

The aim of this study was to isolate and select lipase producing bacteria from effluent waste of paint industry. Five lipase producing Gram negative bacterial isolates showed promising extracellular lipase activity. Molecular identification on the basis of 16S rDNA identified bacterial isolates as Aeromonas sp. Sh 2 (KT186103.1), Aeromonas sp. Sh 8 (KT229540.1), Aeromonas sp. Sh 12 (KT427918.1), Pseudomonas sp. Sh 13 (KT251204.1), Pseudomonas sp. Sh 17 (KT251205.1). Phylogenetic analysis revealed that all the three Aeromonas spp. and two Pseudomonas spp. are highly divergent within each group. Effect of various physio-chemical parameters showed that pH 7.0 and temperature 37°C were favourable for lipase production in all five isolates. Glucose in combination with peptone enhanced the lipase activity from 1359 to 2347 Umg in Aeromonas sp. Sh 2. Combination of glucose with yeast extract improved the lipase activity of Aeromonas sp. Sh 8 from 1641 to 2674 Umg, whereas glucose with casein hydrolysate increased the lipase activity of Aeromonas sp. Sh 12 from 1568 to 1983 Umg. Pseudomonas sp. Sh 13 and Pseudomonas sp. Sh 17 did not show enhanced lipase activity in presence of different carbon or nitrogen sources. These bacterial isolates could be exploited to treat oil and paint based industrial effluents and contribute to reduce environmental hazards.
UvA-DARE ( Digital Academic Repository ) Polycyclic aromatic hydrocarbon ionization as a tracer of gas flows through protoplanetary disk gaps

Context. Planet-forming disks of gas and dust around young stars contain polycyclic aromatic hydrocarbons (PAHs). Aims. We aim to characterize how the charge state of PAHs can be used as a probe of flows of gas through protoplanetary gaps. In this context, our goal is to understand the PAH spectra of four transitional disks. In addition, we want to explain the observed correlation between PAH ionization (traced by the I6.2/I11.3 feature ratio) and the disk mass (traced by the 1.3 mm luminosity). Methods. We implement a model to calculate the charge state of PAHs in the Monte Carlo radiative transfer code MCMax. The emission spectra and ionization balance are calculated in the parameter space set by the properties of the star and the disk. Results. A benchmark modeling grid is presented that shows how PAH ionization and luminosity behave as a function of star and disk properties. The PAH ionization is most sensitive to ultraviolet (UV) radiation and the electron density. In optically thick disks, where the UV field is low and the electron density is high, PAHs are predominantly neutral. Ionized PAHs trace low-density optically thin disk regions where the UV field is high and the electron density is low. Such regions are characteristic of gas flows through the gaps of transitional disks. We demonstrate that fitting the PAH spectra of four transitional disks requires a contribution of ionized PAHs in “gas flows” through the gap. Conclusions. The PAH spectra of transitional disks can be understood as superpositions of neutral and ionized PAHs. For HD 97048, neutral PAHs in the optically thick disk dominate the spectrum. In the cases of HD 169142, HD 135344 B and Oph IRS 48, small amounts of ionized PAHs located in the “gas flows” through the gap are strong contributors to the total PAH luminosity. The observed trend in the sample of Herbig stars between the disk mass and PAH ionization may imply that lower-mass disks have larger gaps. Ionized PAHs in gas flows through these gaps contribute strongly to their spectra.
F Mesenchymal Stem Cells Enhance the Induction of Mixed Chimerism and Tolerance to Rat HindLimb Allografts after Bone Marrow Transplantation

T 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 C O R R E C Background. Mixed hematopoietic chimerism via bone marrow transplantation has been shown to induce donor specific tolerance to solid organ allografts, but graft versus host disease (GVHD) remains to be a risk. Composite tissue allografts may need a higher percentage of donor chimerism compared with less immunogenic solid organ allografts. In this study, we investigated the potential of mesenchymal stem cells (MSCs) in the induction of stable and high level chimerism and subsequent donor-specific tolerance to composite tissue allograft without the incidence of graft versus host disease (GVHD). Methods. Fully mismatched, 4to 8-week-old Brown Norway (RT1) and Lewis (RT1) rats were used as cell or hind-limb donors and recipients, respectively. Recipients received a conditioning regimen consisting of antilymphocyte serum, standard immunosuppressive therapy (RAPA: 0.2 mg/kg/d; days 0 w 130) and 3 Gy total body irradiation, followed by an intraportal co-infusion of allogeneic MSCs and bone marrow cells (day 0); then performing hind-limb allotransplants (30 days after BMT); 100 days after hind-limb transplantations, immunosuppressive therapy was stopped and to observe the survival time of the hind-limb allografts. Results. When co-infusion of allogeneic MSCs was administered, 14/15 recipients developed stable and high level chimerism. Subsequently, in the donor specific group, the survival time of hind-limb allografts without RAPA were remarkably prolonged compared with other groups. The results of the histopathological evaluation of skin biopsy and mixed lymphocyte
Model Theory Empirical regularities Reality Past Future Field Studies Future scenarios Laboratory Experiments Deduction & Induction Data Analytics Hypotheses Body of Knowledge Empirical Analyses Prediction Validation / Falsification Stylized Facts Design Proposals Data Gathering Observation Design /

We advocate to develop IS theories on the basis of formal, analytic models, which in turn facilitate the deduction of design and engineering proposals as well as testable hypotheses. However, we also believe that these formal models and theories should be both, well grounded in stylized empirical facts that are the result of inductive research efforts, as well as evaluated and refined through empirical analyses based on field studies and laboratory experiments. To this end, we motivate and discuss a microeconomically founded IS research process cycle that we deem suitable to develop IS theories that are rigor and relevant.
Developments in multiphoton excitation microscopy

Foundations and implications of 2PE Typically, optical fluorescence microscopy is based on a linear effect in which one photon, delivering an appropriate energy according to the excitation curve of the fluorescent molecule, is absorbed by the molecule which then relaxes to the ground state preferentially emitting a single fluorescent photon following the Stoke’s shift rule. An increase of the excitation power generates a linearly increased fluorescent signal, not considering saturation effects. In contrast, 2PE of fluorescent molecules is non-linear process related to the simultaneous
An In Silico Approach: Homology Modelling and Docking Studies of Rabies Virus Glycoprotein with Salviifoside A of Alangium salviifolium

The genome of rabies virus encodes five proteins; the nucleoprotein, the phosphoprotein, the matrix protein, the glycoprotein, and the RNA-dependent RNA polymerase. Among these, the glycoprotein is the most important as it is the major contributor to pathogenicity and virus neutralizing antibody response. Keeping in mind that glycoprotein is the only protein exposed on the surface of virus and is thought to be responsible for the interaction with the cell membrane, it was attempted to target glycoprotein by a ligand salviifoside A of Alangium salviifolium which blocks its active site, so that it may be possible to prevent the spread of virus into the host. The ligand salviifoside A of Alangium salviifolium was retrieved from Pubchem and docked with modelled Rabies Virus Glycoprotein (RVG). This knowledge may be important for the further research studies and aid in treatment of rabies and other viral diseases in the future.
KeySight: Troubleshooting Programmable Switches via Scalable High-Coverage Behavior Tracking

The rise of programmable switches and P4 brings much flexibility to networks, but this flexibility comes with increased risks of bugs. Diagnosing these bugs is essential for network operation but is non-trivial. A potential approach is to track packet behaviors through postcards, but existing tools either generate substantial postcards (limited scalability) or only track a small proportion of packet behaviors (low coverage). In this paper, we present KeySight, a platform that troubleshoots programmable switches with high scalability and high coverage. The key idea is based on the Packet Equivalence Class (PEC) abstraction that aggregates packets with identical behaviors and generates one postcard per behavior. The PEC abstraction minimizes the number of postcards while tracking all packet behaviors. We design novel algorithms to analyze PECs of P4 programs and to implement the PEC abstraction on programmable switches. We deploy KeySight on Tofino and SmartNIC, and evaluate it against 80 P4 programs and real packet traces of over 5TB. Results show that in the premise of overseeing over 99.9% packet behaviors, KeySight reduces the number of postcards by one to two orders of magnitude when comparing with NetSight.