Miracle-dz/UniFAR-FTUs huggingface dataset:
Leptin expression in proliferative, secretory and hyperplastic endometrial tissues.

OBJECTIVE The goal of this study was to detect endometrial leptin expression in proliferative and secretory phases and then to compare the results with that of hyperplastic endometrium. MATERIAL AND METHODS Seventeen proliferative, 23 secretory phase and 18 hyperplastic endometrial tissues diagnosed in our hospital between 2002 and 2007 were included in the study. These samples were stained with leptin antibody using an immunohistochemical method. Endometrial glandular and surface epithelium and stroma were evaluated for staining distribution and intensity. CONCLUSION Staining intensity seen in early proliferative phase samples (2.33±0.51) increased significantly throughout the middle (2.40±0.54) and late phases (2.83±0.40) (p<0.05). Early secretory phase samples had the least staining intensity (1.42±0.53), while it increased significantly in later periods (2.38±0.51) (p<0.05). There was no difference in staining intensity among proliferative, secretory and hyperplastic tissues (p>0.05). CONCLUSION Although endometrial leptin expression was observed in a differential manner throughout the whole menstrual period, no difference was seen in endometrial hyperplasia. We consider that leptin does not play a role in hyperplastic transformation of the endometrium.
Engaging the Net Generation via YouTube: An Academic approach for undergraduate teaching

This research paper addresses how academics can engage the Net Generation using YouTube in Higher Education to enhance learning. This explanatory research focuses on user behavior of both Academics and students via interviews and questionnaires. An interpretive constructivism approach examines how academics use YouTube to engage students in the classroom, as well as understanding the learning needs of undergraduate students as relating to video-based interventions. The data collection and analysis employs online questionnaires and semi-formal interview tools in a cross sectional time frame. Results show that students engage emotionally, cognitively, and behaviorally when academics deploy YouTube into the classroom. A possible limitation of the research is that all participants in the questionnaires are second year Accounting undergraduate students in the Commerce faculty at the University of Cape Town.
Why students leave their ICT degrees: A gender comparison

Student attrition is of particular concern in the field of ICT because the industry faces staffing shortfalls, generally and a noticeable lack of female employees. This paper explores the reasons students give for leaving their ICT courses and examines gender differences in them. An online survey of early leavers from four Australian universities was conducted. The results show that, for many students, a combination of issues lead to their withdrawal. Whilst the gender imbalance was certainly noted, sexist behaviour from male staff or students was not rated highly as an issue in terms of the withdrawal of female students from their course. Females ex-students were however more likely to believe that they didn't have the expected background knowledge for the course, didn't understand the concepts, or didn't understand the meaning of terms used in the course. Recommendations are made to address issues that could be mitigated by university action.
Stack based sense amplifier designs for reducing input-referred offset

The design of high performance SRAM in scaled technology nodes has become challenging due to an increase in both variation and leakage. The sense amplifier is one component that is particularly sensitive to threshold voltage variation due to its symmetrical design. Reducing the intrinsic input-referred offset of the sense amp reduces the bitline development time, which improves both energy and delay. In this paper we present a source coupled scheme that requires no area overhead and reduces the standard deviation of offset (σOFFSET) by up to 19%. In addition we present three novel sense amp designs that offer up to a 48% reduction in offset at iso-area compared to a traditional latch-based design.
Wireless head gesture controlled wheel chair for disable persons

This paper describes an indigenously developed hands-free wheel chair for physically disabled persons. The proposed device works based on the Head Gesture Recognition technique using Acceleration sensor. Conventional electric powered wheel chairs are usually controlled by joysticks or hand gesture technology which cannot fulfil the needs of an almost completely disabled person who has restricted limb movements and can hardly move or turn his head only. Acceleration sensor is used for the head gesture recognition and RF (radio frequency) module is used for the smart wireless controlling. With the change of head gesture, data is sent wirelessly to the microcontroller based motor driving circuit to control the movement of the Wheel Chair in five different modes, namely FRONT, BACK, RIGHT, LEFT and a special locking system to STAND still at some place. The proposed device is fabricated using components collected from local market and tested in lab for successful functioning, test results are included in this paper.
Is Cosmic Speed-Up Due to New Gravitational Physics?

We show that cosmic acceleration can arise due to very tiny corrections to the usual gravitational action of general relativity, of the form ${R}^{\ensuremath{-}n}$ with $ng0. $ This model eliminates the need for a nonzero cosmological constant or any other form of dark energy, attributing a purely gravitational origin to the acceleration of the universe.
Tinospora cordifolia (Guduchi), a reservoir plant for therapeutic applications: A Review

Tinospora cordifolia (Guduchi or Amrita) is an important drug of Ayurvedic System of Medicine and found mention in various classical texts for the treatment of diseases such as jaundice, fever, diabetes and skin disease etc. In present times, this drug has been subjected for numerous chemicals, pharmacological, pre-clinical and clinical investigations and many new therapeutic applications have been indicated. This paper presents a critical review in areas of chemical constituents, proved pre-clinical and clinical trials along with its medicinal uses in different streams of medical sciences.
Dual band RF energy harvester for wearable electronic technology

In this paper, a dual band wearable rectenna is fabricated and tested to power the wearable sensors or electronics at 2.45 GHz and 5.8 GHz. The wearable rectenna substrate is designed with cotton jeans which is a textile material. RF-to-dc conversation system contains the diode rectifier and a high efficiency DC-DC step-up converter with maximum power point control (MPPT). The measured return loss bandwidth of the textile dual band antenna is 40% at 2.45 GHz and 51% at 5.8 GHz. The rectenna has maximum efficiency of 60% at −3dBm (5.8GHz) and 0dBm (2.45GHz). The rectenna has maximum efficiency of 60% at −3dBm (5.8GHz) and 0dBm (2.45GHz).
Periodic Monitoring of Commercial Turkeys for Enteric Viruses Indicates Continuous Presence of Astrovirus and Rotavirus on the Farms

Abstract A longitudinal survey to detect enteric viruses in intestinal contents collected from turkeys in eight commercial operations and one research facility was performed using molecular detection methods. Intestinal contents were collected from turkeys prior to placement, with each flock resampled at 2, 4, 6, 8, 10, and 12 wk of age. The samples were screened for astrovirus, rotavirus, reovirus, and turkey coronavirus (TCoV) by a reverse transcriptase and polymerase chain reaction (RT-PCR), and for groups 1 and 2 adenovirus by PCR. Rotavirus was the only virus detected prior to placement (7 of 16 samples examined). All of the commercial flocks were positive for rotavirus and astrovirus from 2 until 6 wk of age, and most were intermittently positive until 12 wk of age, when the birds were processed. Of the 96 samples collected from birds on the farms, 89.5% were positive for astrovirus, and 67.7% were positive for rotavirus. All flocks were negative for TCoV, reovirus, and group 1 adenovirus at all time points, and positive for group 2 adenovirus (hemorrhagic enteritis virus) at 6 wk of age. All the flocks monitored were considered healthy or normal by field personnel. Turkeys placed on research facilities that had been empty for months and thoroughly cleaned had higher body weights and lower feed conversion rates at 5 wk of age when compared to turkeys placed on commercial farms. Intestinal samples collected at 1, 2, and 3 wk of age from these turkeys were free of enteric viruses. This report demonstrates that astroviruses and rotaviruses may be present within a turkey flock through the life of the flock. Comparison of infected birds with one group of turkeys that were negative for enteric viruses by the methods used here suggests that astrovirus and/or rotavirus may affect production. The full impact on flock performance needs to be further determined.
A shallow fault-zone structure illuminated by trapped waves in the Karadere–Duzce branch of the North Anatolian Fault, western Turkey

SUMMARY We discuss the subsurface structure of the Karadere‐Duzce branch of the North Anatolian Fault based on analysis of a large seismic data set recorded by a local PASSCAL network in the 6 months following the Mw = 7.4 1999 Izmit earthquake. Seismograms observed at stations located in the immediate vicinity of the rupture zone show motion amplification and long-period oscillations in both P- and S-wave trains that do not exist in nearby off-fault stations. Examination of thousands of waveforms reveals that these characteristics are commonly generated by events that are well outside the fault zone. The anomalous features in fault-zone seismograms produced by events not necessarily in the fault may be referred to generally as fault-zone-related site effects. The oscillatory shear wave trains after the direct S arrival in these seismograms are analysed as trapped waves propagating in a low-velocity fault-zone layer. The time difference between the S arrival and trapped waves group does not grow systematically with increasing source‐receiver separation along the fault. These observations imply that the trapping of seismic energy in the Karadere‐Duzce rupture zone is generated by a shallow fault-zone layer. Traveltime analysis and synthetic waveform modelling indicate that the depth of the trapping structure is approximately 3‐4 km. The synthetic waveform modelling indicates further that the shallow trapping structure has effective waveguide properties consisting of thickness of the order of 100 m, a velocity decrease relative to the surrounding rock of approximately 50 per cent and an S-wave quality factor of 10‐15. The results are supported by large 2-D and 3-D parameter space studies and are compatible with recent analyses of trapped waves in a number of other faults and rupture zones. The inferred shallow trapping structure is likely to be a common structural element of fault zones and may correspond to the top part of a flower-type structure. The motion amplification associated with fault-zone-related site effects increases the seismic shaking hazard near fault-zone structures. The effect may be significant since the volume of sources capable of generating motion amplification in shallow trapping structures is large.
Quantitative evolution of global strings from the Lagrangian viewpoint

We clarify the quantitative nature of the cosmological evolution of a global string network, that is, the energy density, peculiar velocity, velocity squared, Lorentz factor, formation rate of loops, and emission rate of Nambu-Goldstone bosons, based on a new type of numerical simulation of scalar fields in Eulerian meshes. We give a detailed explanation of a method to extract the above-mentioned quantities to characterize string evolution by analyzing scalar fields in Eulerian meshes from a Lagrangian viewpoint. We confirm our previous claim that the number of long strings per horizon volume in a global string network is smaller than in the case of a local string network by a factor of $\sim$10 even under cosmological situations, and its reason is clarified.
Discrete free-matrix-based integral inequality and its application

This paper is concerned with the stability problems for discrete linear systems with time-varying delays. A new summation inequality is presented in this paper, which is less conservative than other existing summation inequalities. This inequality is a discrete-time counterpart of the free-matrix-based (FMB) integral inequality. Using it to investigate the stability problem for discrete-time systems, some novel stability criteria are established. The advantage of the derived condition is illustrated by some numerical examples, while a practical example demonstrates the applicability of the method.
Defense Induced by Jasmonic Acid: A Review

Plants are very delicate have no opportunity other than to adapt their growth and changing with environment and need to coordinate their growth and physiology responses. Plants present in an environment in ancient time characterized by the presence of various types of stresses both biotic and abiotic. Phytohormones play important role in plant growth, development and response to stresses. Plant hormones regulate diverse developmental processes and send the signals networks in plants under different abiotic stresses. With the advancement in plant biology research it has been established that phytohormones have the potential to remove the deleterious effects posed by abiotic stresses (Masood et al., 2012; Khan et al., 2013). Plant defense responses are mediated by three major pathways of the phytohormones, jasmonic acid (JA), salicylic acid (SA) and ethylene (ET). The fine tuning of plant response to pathogen depends on the synergistic or antagonistic interactions between these three pathways (Takahashi et al., 2004). According to (Creelman and Mulpuri, 2002; Wasternack and Hause, 2002; International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 5 (2017) pp. 2467-2474 Journal homepage: http://www.ijcmas. com
PHOTOSYNTHESIS‐IRRADIANCE PATTERNS IN BENTHIC MICROALGAE: VARIATIONS AS A FUNCTION OF ASSEMBLAGE THICKNESS AND COMMUNITY STRUCTURE

Photosynthesis‐irradiance (P‐I) characteristics of periphyton (microphytobenthos) have been considered primarily for entire assemblages. How P‐I responses vary with mat thickness and with community composition has not been considered in detail. We used a combined approach of modeling, microscale determinations of photosynthetic rate and light attenuation, and whole‐assemblage O2 flux measurements to explore P‐I relationships. The modeling approach suggested that the onset of photosynthetic saturation and photoinhibition will occur at higher irradiance and that whole‐mat photoinhibition (decreased photosynthesis at very high irradiance), biomass‐specific maximum photosynthetic rate, and initial slope of the P‐I function (α) should decrease as assemblage thickness increases or light attenuation increases. Spherical light microsensor profiles for a variety of stream algae indicated a strongly compressed photic zone with attenuation coefficients of 70–1791 m−1 for scalar photosynthetic photon fluence density. The O2 microelectrode measurements showed little if any photoinhibition at 2 and 4 mm depths in one filamentous green algal (Ulothrix) assemblage, with a relatively low attenuation coefficient, and no photoinhibition in a second Ulothrix community. An assemblage dominated by a unicellular cyanobacterium exhibited little photoinhibition at 2 and 4 mm, and a dense cyanobacterial (Phormidium)/xanthophyte (Vaucheria) community exhibited no photoinhibition at all. The microelectrode data revealed increases in α over several millimeters of depth (photoacclimation). These data supported the model predictions with regard to the effects of mat optical thickness on whole‐assemblage values for α and photoinhibition. Whole‐community O2 flux data from 15 intact assemblages revealed positive relationships between chlorophyll a density and maximum photosynthetic rate or α expressed per unit area; the relationships with chlorophyll a were negative when photosynthetic rates were expressed per unit chlorophyll a. None of the whole assemblages exhibited photoinhibition. Thus, the data from the whole communities were consistent with model predictions.
On Uncertain Probabilistic Data Modeling

Uncertainty in data is caused by various reasons including data itself, data mapping, and data policy. For data itself, data are uncertain because of various reasons. For example, data from a sensor network, Internet of Things or Radio Frequency Identification is often inaccurate and uncertain because of devices or environmental factors. For data mapping, integrated data from various heterogonous data sources is commonly uncertain because of uncertain data mapping, data inconsistency, missing data, and dirty data. For data policy, data is modified or hided for policies of data privacy and data confidentiality in an organization. But traditional deterministic data management mainly deals with deterministic data which is precise and certain, and cannot process uncertain data. Modeling uncertain data is a foundation of other technologies for further processing data, such as indexing, querying, searching, mapping, integrating, and mining data, etc. Probabilistic data models of relational databases, XML data and graph data are widely used in many applications and areas today, such as World Wide Web, semantic web, sensor networks, Internet of Things, mobile ad-hoc networks, social networks, traffic networks, biological networks, genome databases, and medical records, etc. This paper presents a survey study of different probabilistic models of uncertain data in relational databases, XML data, and graph data, respectively. The advantages and disadvantages of each kind of probabilistic modes are analyzed and compared. Further open topics of modeling uncertain probabilistic data such as semantic and computation aspects are discussed in the paper. Criteria for modeling uncertain data, such as expressive power, complexity, efficiency, extension are also proposed in the paper.
Part I : The use of honey in the treatment of meningococcal skin lesions

A preliminary report of this case study was first published in April 2000 in the Nursing Times (Dunford, 2000). It had a huge impact and was immediately picked up by the media. The fact that such a natural agent as honey could be responsible for healing such devastating lesions in a young adult so badly affected by meningococcal septicaemia made it newsworthy. There followed numerous national and local newspaper reports as well as TV and radio appearances both nationally and also in New Zealand and Australia. This positive attention no doubt also helped the patient, referred to as Jem, come to terms with his experience. It also introduced honey as a healing agent to the general public and health practitioners alike, and began the significant public and professional interest in honey that has grown in recent years.
An Improved Moving Object Detection Algorithm Based on Gaussian Mixture Models

Aiming at the problems that the classical Gaussian mixture model is unable to detect the complete moving object, and is sensitive to the light mutation scenes and so on, an improved algorithm is proposed for moving object detection based on Gaussian mixture model and three-frame difference method. In the process of extracting the moving region, the improved three-frame difference method uses the dynamic segmentation threshold and edge detection technology, and it is first used to solve the problems such as the illumination mutation and the discontinuity of the target edge. Then, a new adaptive selection strategy of the number of Gaussian distributions is introduced to reduce the processing time and improve accuracy of detection. Finally, HSV color space is used to remove shadow regions, and the whole moving object is detected. Experimental results show that the proposed algorithm can detect moving objects in various situations effectively.
Affective Disorders and Antidepressant Drugs

Affective disorders are a group of psychiatric diseases that can affect an individual at any given age. Also called mood disorders, they can be distinguished into two different types: major depressive disorder, also called major depression, and bipolar disorder, which is known as manic depression. People affected by major depression most often have a low mood, and are consistently in a state of unhappiness. Although it was shown that genetics play a role in the predisposition of depression, this disease most often occurs in response to a variety of external factors such as a stressful life event, the loss of a loved one, and following drug or substance abuse. A variety of antidepressant drugs, such as the monoamine oxidase inhibitors (MAOIs), the tricyclic antidepressants (TCAs), and the second-generation antidepressants are able to provide significant relief for people suffering from affective disorders like depression. However, several of these pharmaceutical agents can cause serious side effects to the patients. Therefore, there is a need to identify novel antidepressant therapies that are more efficient and that present minimal side effects. A better understanding of the neurobiology of depression will definitively help scientists develop new therapeutic ideas. This paper will first discuss the clinical profile of depression and explain the physiological mechanisms and the neurochemistry involved in this disease. It will then give you an overview of the effectiveness of the most common antidepressants used, with a description of their mode of action and most notable side effects.
Using the Species-Area Relationship to Set Baseline Targets for Conservation

This paper demonstrates how the power form of the Species-Area Relationship (SAR) can be used to set conservation targets for land classes using biodiversity survey data. The log-transformation of the power model is a straight line; therefore, if one knows the average number of species recorded per survey site and can estimate the true species number present in the land class, using EstimateS software, it is possible to calculate the slope of the curve, or z-value. The z-value is the exponent in the power model and it can then be used to estimate the proportion of area required to represent a given proportion of species present in any land class. This application of the SAR is explored using phytosociological releve data from South Africa's Succulent Karoo biome. We also provide suggestions for extrapolating the estimated z-values to other land classes within a bioregion that lack sufficient survey data, using the relationship between z-values and remotely determined landscape variables such as habitat diversity (topographic diversity) and geographic location (latitude and longitude). The SAR predicts that for most Succulent Karoo vegetation types a conservation target of 10% of the land area would not be sufficient to conserve the majority of species. We also demonstrate that not all land classes are equal from a plant biodiversity perspective, so applying one target to all land classes in a region will lead to significant gaps and inefficiencies in any reserve network based on this universal target.
A Fault Tolerant Target Coverage Model under Location Deficiencies

A sensor network applied in real time scenario is described under some specialized nodes. These specialized nodes are directly connected to the real environment. To keep the network tracking, it is required to provide regular backup to these critical nodes. A set of one or more sensor nodes form the coverset and provide the continuous tracking to these nodes. In this work, a fault driven analysis model is presented for critical node tracking. The work also includes to provide the solution to location switch problem in dynamic sensor network. The results show that the work