Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of an efficient Solar PV Battery Charge Controller under dynamic Motor load conditions

This paper aims to develop an efficient solar charge controller which supplies power to both a DC motor and a rechargeable battery in an electric vehicle. The battery acts as a secondary source of power to drive the DC motor in case the PV module fails to provide sufficient power. The charge controller charges the battery at two modes: Constant Current (CC) charging mode and Maximum Power Point Tracking (MPPT) mode to efficiently charge the battery under dynamic load conditions. The modes of charging are decided on the basis of continuous monitoring of battery voltage. In CC charging mode, battery is charged at C/10 rate while in MPPT mode the charge controller aims to extract maximum power from the PV module under the impact of varying irradiance and varying load conditions. Model performance evaluation and analysis has been done through MATLAB/Simulink.
Predicting the Popularity of Websites using Multilayer Perceptron and Extreme Learning Machine

Due to increasing usage of internet, the prediction of the popularity of a website is becoming a popular topic of research. There are millions of users who are interacting every day. In this paper, we predict the popularity of website using classification and regression method based 3on multiple attributes. Multilayer perceptron and extreme learning machine have been used for predicting the popularity of the website.
Assessing Performance of the Kernel-Driven BRDF Models in Retrieving Snow Albedo Based on the bic-PT Model

Recently, Jiao et al. developed a snow kernel in the kernel-driven bidirectional reflectance distribution function (BRDF) model framework to better characterize the anisotropic reflectance of pure snow surface. In this study, we assess performances of this snow kernel in the kernel-driven model framework and original kernel-driven model (hereinafter named the RTS and RTR models) in retrieving snow albedo based on the bicontinuous photon tracking (bic-PT) model. Our results show that: (1) The spectral albedo retrieved by these two models has a high consistency with the bic-PT model. However, the results of the spectral albedo for RTR model has a slight underestimation, especially at SZA=0° in the visible bands, and the RTS model performs well compared with simulated data. (2) The albedo retrieved by these two models agrees reasonably well with the simulated data (R2=~0.9). Yet, the result of the RTR model underestimates 0.50% and 0.52% compared simulated albedo in the red and near-infrared bands, respectively, and the RTS model has a negligible bias for all bands. This assessment provide a priori knowledge of these two models performances, and thus, suggests the RTS model can be applied to future researches of estimating snow albedo.
THE ROLE OF RECORDS MANAGEMENT IN THE PROVISION OF QUALITY SERVICES AT MOI UNIVERSITY, ELDORET, KENYA

Records are valuable business assets. Effective and timely planning and decision making is highly dependent on the efficient provision of well organized records in a timely manner. Sound policies and just decision-making demand that information is collated, stored, managed, used and disclosed wisely and appropriately. Moi University has a problem in records management which is an essential component in quality service provision. The aim of the study was to investigate the role of records management in the provision of quality services at Moi University with a view to proposing a model that integrates sound records management and quality service provision. The specific objectives of the study were to: undertake a business process analysis of Moi University to establish the resultant records generated by these processes; assess the current state of records management at Moi University and how this has impacted on the quality of services provided by the University; establish the existence of a policy and regulatory framework for the management of records at the institution; determine the effects of ICTs on records management and service provision; determine the nexus between sound records management and quality service provision; and propose a model that integrates sound records management and quality service provision. The study was informed by the Integrated Records Management Model advanced by Roper and Millar and the Gap Model of Service Quality (Customer Experience Gap Model) by Parasuraman, Zeithaml and Berry. The study was qualitative in nature. Face to face interviews were used to collect data. Purposive sampling technique was used to obtain the thirty three (33) respondents drawn from the main campus. Among the key findings of the study were that: the core business processes of Moi University generated records; sound records management is central in the attainment of all university business processes; policies on records management were not documented; records are inextricably linked to increased quality service provision. The study concluded that the poor state of records management negatively impacted on the quality of services provided and was equally an impediment to efficient and effective attainment of the university‘s business processes. Based on the findings, the study recommended that Moi University should formulate and implement policies in records management; and increase funding for records related activities. Lastly but not least, the study proposes a model that integrates sound records management and quality service provision.
Stochastic Geometry Analysis of Individual Carrier Sense Threshold Adaptation in IEEE 802.11ax WLANs

This paper discusses the impact of spatial reuse and carrier sense threshold (CST) optimization on the performance of wireless local area networks using stochastic geometry analysis. The adjustment of the CST is a promising approach to improve spatial reuse, and has been proposed for the IEEE 802.11ax standard. Considering the situation where each access point (AP) individually adjusts its CST based on the individual received power, this paper derives the probability of transmission success and the density of successful transmissions (DST). The evaluation results of these metrics reveal that the optimal setting is to increase the CST linearly (in terms of dB) with respect to the average received signal power. Because the maximization of the DST causes unfairness from the viewpoint of success of transmission, the maximization of the product of the transmission success probabilities is proposed to improve the performance of the entire system and restrain unfairness. Using the trend of the optimal CST function, the impact of the density of APs on the optimal CST function is determined. Moreover, individual CST adjustment is found to improve spatial reuse compared with identical adjustment, i.e., setting the CST of all APs to an identical value.
Proposed System for Criminal Detection and Recognition on CCTV Data Using Cloud and Machine Learning

Finding criminals or hunting for people, in a CCTV video footage, after a crime scene or major attack takes place, is a time consuming task. As informed to us by cyber cell members of Goa branch, they make multiple members of the department sit with laptops and computers literally to search through the CCTV footage to find and trace the guilty, as they don’t have the automated system for doing this task with them. This process is both time and labor intensive.In this research paper we have tried to survey the existing technologies as well as we propose a new system for criminal Detection & Recognition using Cloud Computing and Machine Learning, which if used by our Crime Agencies would definitely help them to find criminals from CCTV footage. The proposed system can not only help find criminals but if used properly on different sites such as railway stations etc, can also help find missing children and people from the CCTV footage available from the respective site.Existing solutions use traditional face recognition algorithms which can be troublesome in changing Indian environments especially factors like light, weather and especially orientation. Some CCTV are in a bad place and can get tilted resulting in a wild increase in inaccuracy. This research paper proposes to use Microsoft Azure Cognitive services and Cloud system for implementation of the proposed system [21]. The next phase this research will try to compare this proposed methodology with traditional techniques like HAAR cascade to judge performance of the proposed System, as it is important to have a high accuracy , for a project of this sensitivity.
Design of Frequency Selective Devices for the THz Domain with Applications on Structural Health Monitoring

In this paper, a study on the transmittance as a function of applied force for a new THz sensor is proposed. The sensor consists of two frequency selective surfaces (FSSs) based on metamaterial wire resonators and works as a re-configurable selective THz filter in which only radiation of certain desired frequencies is allowed to pass. Numerical modelling of both the mechanical and electromagnetics behavior of the sensor is reported for a device assembled with a High-Density PolyEthylene (HDPE) thermoplastic polymer host at a target frequency of 408 GHz.
Implementation of Aperture coupled Stacked layer Microstrip Patch Antennas for 5G Wireless Communication Systems

In this paper microstrip patch antennas for 5G wireless communication systems using aperture coupled feed has been implemented for 3.4GHz for improvement in better bandwidth and gain. The main mechanism of power transfer between its feed line and slot in between the patch is the technique implemented in aperture couple feed antenna. In this technique, the feed circuitry is shielded from the antenna by a conducting plane with a hole (aperture) to transmit energy to the antenna. In this work the simulated output is obtained for 3.4GHz by using ANSYS HFSS Software. Aperture couple feed is fabricated using Rogers substrate 5880 material and results were measured using network analyzer. The fabricated aperture coupled stacked layer microstrip patch antennas produced better return loss and impedance bandwidth for future 5G wireless communication systems.
A New Self-Commissioning Technique for Sensorless Synchronous Reluctance Motor Drives

A new approach is proposed to enable the self-commissioning on back-EMF based sensorless synchronous reluctance motor drives, providing an inexpensive mean to improve the performance and control robustness. The proposed approach is based on the injection of suitable current signals and on adjusting the estimated value of the rotor angular position in order minimize the ripple generated on a signal produced by a phase locked loop speed estimator. Exploiting such a technique look-up tables can be off-line built which can be used to on-line correct the estimated rotor angular position according to actual d,q stator currents. The proposed approach does not need additional current or voltage sensors, nor motor design modifications and can be also exploited to compensate the effects of the variation of the stator resistance with the temperature.
Room-Temperature Terahertz Antenna-Coupled Microbolometers with Titanium Thermistor and Heater

High-detectivity room-temperature terahertz (THz) detectors are expected to be utilized in spectroscopy and imaging for such applications as inspection for safety, nondestructive sensing in industry and construction, noninvasive examination for medicine and pharmacy. We have studied THz antenna-coupled bolometers with titanium (Ti) thermistor and heater fabricated on a high-resistivity silicon (Si) substrate with MEMS structures in order to develop uncooled high-performance sensors. In this paper, we report the study on design, electromagnetic (EM) and thermal simulation, fabrication, experiment of THz-wave measurement, and evaluation of performance for single-detector devices, by which large THz array detectors are easily developed. We have achieved good performance as low noise-equivalent power (NEP) of the orders of 10−11 W/Hz1/2 and response frequency of 5.5 kHz by studying a Ti thermistor with thin meander line for the THz antenna-coupled bolometer.
Synthesis, Principles, and Properties of Magnetite Nanoparticles for In Vivo Imaging Applications—A Review

The current nanotechnology era is marked by the emergence of various magnetic inorganic nanometer-sized colloidal particles. These have been extensively applied and hold an immense potential in biomedical applications including, for example, cancer therapy, drug nanocarriers (NCs), or in targeted delivery systems and diagnosis involving two guided-nanoparticles (NPs) as nanoprobes and contrast agents. Considerable efforts have been devoted to designing iron oxide NPs (IONPs) due to their superparamagnetic (SPM) behavior (SPM IONPs or SPIONs) and their large surface-to-volume area allowing more biocompatibility, stealth, and easy bonding to natural biomolecules thanks to grafted ligands, selective-site moieties, and/or organic and inorganic corona shells. Such nanomagnets with adjustable architecture have been the topic of significant progresses since modular designs enable SPIONs to carry out several functions simultaneously such as local drug delivery with real-time monitoring and imaging of the targeted area. Syntheses of SPIONs and adjustments of their physical and chemical properties have been achieved and paved novel routes for a safe use of those tailored magnetic ferrous nanomaterials. Herein we will emphasis a basic notion about NPs magnetism in order to have a better understanding of SPION assets for biomedical applications, then we mainly focus on magnetite iron oxide owing to its outstanding magnetic properties. The general methods of preparation and typical characteristics of magnetite are reviewed, as well as the major biomedical applications of magnetite.
Pancreatic Cancer Cells Invasiveness is Mainly Affected by Interleukin-1β not by Transforming Growth Factor-β1

Background We investigated in vitro whether IL-1β and TGF-β1 affect pancreatic cancer cell growth, adhesion to the extracellular matrix and Matrigel invasion. Materials and methods Adhesion to fibronectin, laminin and type I collagen, and Matrigel invasion after stimulation with saline, IL-1β and TGF-β1 were evaluated using three primary and three metastatic pancreatic cancer cell lines. Results Extracellular matrix adhesion of control cells varied independently of the metastatic characteristics of the studied cell lines, whereas Matrigel invasion of control cells was partly correlated with the in vivo metastatic potential. IL-1β did not influence extracellular matrix adhesion, whereas it significantly enhanced the invasiveness of three of the six cell lines. TGF-β1 affected the adhesion of one cell line, and exerted contrasting effects on Matrigel invasion of different cell lines. Conclusions IL-1β enhances the invasive capacity of pancreatic cancer cells, whereas TGF-β1 has paradoxical effects on pancreatic cancer cells; this makes it difficult to interfere with TGF-β1 signaling in pancreatic cancer treatment.
Lung Transplantation in Adolescents and Young Adults with Cystic Fibrosis

in lung transplantation, which now offers patients with end-stage cystic fibrosis (CF) both improved quality of life and improved survival. Research indicates that adolescents and young adults with CF face significant psychological challenges arising from their chronic illness. In particular, altered appearance, strained interpersonal relationships leading to isolation, and increased awareness of the future, especially in relation to death, are associated with psychological distress. In addition, the hope that lung transplantation offers to those with CF lung disease may result in patients and families having unrealistic expectations. These patients will continue to face an uncertain future with reliance on a strict and complex medical regimen requiring lifelong contact with the transplant team. Little is known about the experience of young people with CF who are on a transplant waiting list or who have received a transplant. Even less is known about the psychological and psychosocial factors that affect this group’s transplant outcomes. The lung transplant journey has been described as a trajectory of experiences including learning of the need for a transplant, waiting for a transplant to become available, receiving the transplant, and living with a lung transplant. Each of these stages is associated with specific transitions. The transition of adolescents with CF from transplant candidate to lung transplant recipient has been explored qualitatively. The major themes identified by this study include the need by adolescents to control as many aspects of their lives as possible while dealing with parental overprotectiveness, the adjustLung transplantation in adolescents and young adults with cystic fibrosis
Imaging Dose-dependent Pharmacokinetics of an RGD-Fluorescent Dye Conjugate Targeted to αvβ3 Receptor Expressed in Kaposi's Sarcoma

Dynamic fluorescence images were obtained from xenografts bearing a subcutaneous human Kaposi's sarcoma (KS1767) immediately following the intravenous injection of an integrin-receptor targeting Cy5.5-c(KRGDf) at a dose ranging from 0.75 to 6 nmol/mouse. The fluorescence images were acquired using an intensified charge-coupled device system and were analyzed with a three-compartment pharmacokinetic (PK) model to determine uptake parameters in the tumor and normal tissue regions of interest as a function of administered dose. Our results show that the uptake of Cy5.5-c(KRGDf) in tumor regions were: (i) significantly greater than the contralateral normal tissue regions; (ii) linearly increased with dose of Cy5.5-c(KRGDf) up to 1.5 nmol/mouse; and (iii) blocked by preinjection of c(KRGDf). Above doses of 1.5 nmol/mouse, the uptake no longer increased with dose, suggesting integrin receptor saturation. In normal tissues, the PK uptake parameters were not influenced by Cy5.5-c(KRGDf) dose nor by the preadministration of c(KRGDf).
Nonadherence with Immunosuppressive Drugs: Us Compared with European Kidney Transplant Recipients

tion negatively affects clinical and economical outcomes in kidney transplantation and therefore has come under increased scrutiny. A recent comprehensive review from our group on nonadherence in kidney transplantation reports that the prevalence of nonadherence with immunosuppressive drugs ranges from 2% to 67% depending on case-finding methods, measurement methods, and operational definitions. The weighted mean of nonadherence with immunosuppressive drugs over different publications is 27.7%. Nonadherence is an etiological factor in 16.3% of the graft losses and 19.9% of the late acute rejections in kidney transplant recipients. Studying underlying dynamics and factors linked to nonadherence with immunosuppressive drugs in Nonadherence with immunosuppressive drugs: US compared with European kidney transplant recipients
Can Host Plant Richness be Used as a Surrogate for Galling Insect Diversity?

Galling insects are the only insects capable of manipulating plant tissues to form complex structures. The number of known species of galling insect is small compared to the large diversity that statistical estimates suggest for this group. The study of galling insect diversity can be a difficult task in mega-diverse environments such as in tropical regions, thus justifying the use of surrogates. This study investigated whether or not host plant richness and super-host taxa can be used as surrogates for galling insect diversity. Surveys were conducted in 15 areas of cerrado sensu stricto in different localities of the Brazilian Cerrado. The results showed that host plant richness was the main predictor of galling insect diversity. The plant genus Qualea (Vochysiaceae), with 18 galling species, was the super-host taxon used in the analyses. Despite the influence of genus on galling insect richness, the abundance of Qualea was not related to galling insect diversity. Surrogates can be a useful tool for estimating galling insect richness and diversity patterns, both of which are relevant for conservation assessments.
Cardiac Dysrhythmias during Donor Care

mias) during donor care is difficult to determine. A search of the PubMed database and the authors’ files produced few related citations (Table 1). Similarly, publications about extended somatic support after brain death did not identify dysrhythmias in that group. Data from Table 1 suggest that about 20% to 30% of donors experience a dysrhythmia. Sinus tachycardia (depending on the heart rate definition of tachycardia) appears most common, occurring in 20% to 50% of donors, followed by sinus bradycardia in 15%, atrial fibrillation in 10%, and other dysrhythmias less commonly. Treatment of dysrhythmias is not always necessary but may be required if the dysrhythmia causes a change in blood pressure. Cardiac arrest does not preclude subsequent organ donation, even donation of the heart, but obviously requires treatment of the precipitating and possibly continuing dysrhythmia(s). Organ procurement and transplantation data from December 3, 2004, provided by the United Network for Organ Sharing (UNOS), indicate that 4.7% of donors in 2002 and 4.9% in 2003 had a cardiac arrest during their hospitalization before organ removal. In 3 other reports, 7%, 16%, and 25% of donors sustained a cardiac arrest. Solomon et al defined cardiac arrest as any episode of observed ventricular fibrillation or asystole; the type of arrest was not defined in other publications. Successful transplantation occurred after arrest times of more than 3 minutes, 4 to 90 minutes, and 18.8 (SD 14.6) minutes (in children). Some of these publications and the UNOS data indicate that some cardiac arrests occurred while the patient was being cared for before certification of brain death, but other arrests occurred after consent for donation had been given and while the donor was being prepared for organ removal. Therefore, organ procurement coordinators may be required to initiate treatment of significant dysrhythmias, including dysrhythmias that occur during a cardiac arrest. Dysrhythmias are well documented during the evolution of brain death in experimental animals. The dysrhythmias appear to be influenced by the speed with which brain death is induced and are more common immediately after brain herniation. Sinus bradyCardiac dysrhythmias during donor care
Serum Cathepsin H as a Potential Prognostic Marker in Patients with Colorectal Cancer

Cathepsin H is a lysosomal cysteine protease that may participate in tumor progression. In order to evaluate its potential as a prognostic marker, its protein levels were measured by ELISA in preoperative sera from 324 patients with colorectal cancer. The level of cathepsin H was significantly increased in patient sera, the median level was 8.4 ng/mL versus 2.1 ng/mL in 90 healthy blood donors (p<0.0001). A weak association of cathepsin H levels was found with patient age (p=0.02) but not with Dukes’ stage, sex, or the level of carcinoembryonic antigen (CEA). In survival analysis a significant difference was found between the group of patients with low cathepsin H (first tertile) who had a poor prognosis and the remaining patients (p=0.03). The risk of patients was further stratified when cathepsin H levels were combined with CEA. Patients with high CEA and low cathepsin H had the highest risk of death with a hazard ratio of 2.72 (95% CI 1.73–4.28), p<. 0001. Our results show that the prognostic information of cathepsin H differs from that of the related cathepsins B and L and suggest different roles during the progression of malignant disease.