Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and Evaluation of Refractive Multifocal Intraocular Lenses Implanted within the Human Eye

In this paper, optimum design of three classic model have been proposed, for refractive multifocal intraocular lenses (singlet, doublet, triplet-MIOLs) implanted within human eye (Liou & Brennan model). The analysis were carried out with ZEMAX-EE optical software through the polychromatic functions; MTF, PSF, spot diagram and (longitudinal-, Sphero-) chromatic aberration in addition to comparison with healthy eye. Due to good biocompatibility, AR40N Allergan and AcrySof SA60AT were used to design refractive MIOLs in unique and / or dual combination. Correction of the spherical aberration and longitudinal chromatic aberration (LCA) within 5° of visual field and 4 mm of pupil diameter were performed over the spectral region (455-655 nm). Result indicate that for all MIOLs proposed design (pseudophakic eye) sharp vision was achieved for a set of distances within range (25-108cm) but still much less than in healthy eye and pseudophakic eye with triplet-MIOLs implanted was the best model.
A Wind Energy Conversion System Based on a Generator with Modulated Magnetic Flux

In this work, the concept of an energy conversion system for wind turbines based on the modified permanent magnet synchronous generator (PMSG) is presented. In the generator, a pair of three-phase windings is used, one of which is connected in a “star” and the second in a “delta” configuration. At the outputs of both windings, two six-pulse uncontrolled (diode) rectifiers are included. These rectifiers are mutually coupled by a specially designed pulse transformer, whose primary winding is powered by the power electronics converter—the so-called “current modulator”—which, in this case, operates as a magnetic flux modulator, in the generator. The modulator provides a quasi-sinusoidal magnetomotive force (mmf) in the stator of the machine. The whole system is connected to the power grid via a dedicated voltage source inverter (VSI) converter. The main objective of the elaborated solution is to provide high efficiency conversion of mechanical (wind) energy into electricity by means of a relatively simple electrical system.
Comparison of Components and Parameters of Some Sulfide Minerals Surface Tension with Regards to Stability of Mineral-Air Bubble System

The measurements of the advancing contact angle of water, glycerol, formamide, ethylene glycol, diiodomethane, a-bromonaphthalene, 1,2,3-tribromopropane on unoxidized and oxidized galena, pyrite, chalcopyrite, djurleite, bornite and covellite at the temperature equal 293 K were made. Additionally, the measurements of the force air bubble detachment from these sulfide minerals including also chalcocite in water were performed. Using the values of the obtained contact angle of water, glycerol, formamide, ethylene glycol, diiodomethane, a-bromonaphthalene, 1,2,3tribromopropane the components and parameters of the unoxidized and oxidized sulfide minerals surface tension were calculated. For this calculation the van Oss et al. method was applied after analysis of the components and parameters of the surface tension of liquids used for contact angle measurements. Taking into account the contact angle of water on the sulfide minerals, the detachment force of air bubble from these minerals in water was determined using our equation and comparing to that of measured one. As follows from the measurements and calculations the wetting properties of sulfide minerals and the stability of mineral-air bubble depends to a larger extent on the degree of sulfide minerals oxidation than on the type of mineral.
Review of Dynamic Positioning Control in Maritime Microgrid Systems

For many offshore activities, including offshore oil and gas exploration and offshore wind farm construction, it is essential to keep the position and heading of the vessel stable. The dynamic positioning system is a progressive technology, which is extensively used in shipping and other maritime structures. To maintain the vessels or platforms from displacement, its thrusters are used automatically to control and stabilize the position and heading of vessels in sea state disturbances. The theory of dynamic positioning has been studied and developed in terms of control techniques to achieve greater accuracy and reduce ship movement caused by environmental disturbance for more than 30 years. This paper reviews the control strategies and architecture of the DPS in marine vessels. In addition, it suggests possible control principles and makes a comparison between the advantages and disadvantages of existing literature. Some details for future research on DP control challenges are discussed in this paper.
Reconfigurable Design of Low Power Hybrid Crypto Processor using Signcryption for Wireless Networks

Now a day all the communications are carried out in wireless medium. It is necessary to transmit the confidential data in wireless media in secure manner. Cryptography is technique to protect electronic data in communication network. Hardware implementation of cryptography processor in field programmable gate array (FPGA) is major issues in terms of area, power and throughput. In this paper, we propose a hybrid crypto processor (HCP) for wireless network using flexible encryption and signature techniques. The main aim of proposed HCP technique used to provides secure wireless communication with aware of malicious attacks in the network, know to my knowledge, the proposed HCP hardware design is open the platform in signcryption. Generally, hybrid cryptography consists of data encapsulation mechanism (DEM) and key encapsulation mechanism (KEM). In HCP design, the efficient multiplier based ECC processor is proposed for data encapsulation over Galois field (GF (2 m )). Moreover, the improved enhanced Kurosawa and Desmedt hashing (EKD) hashing scheme is proposed for key encapsulation. The proposed HCP design is implementing in Xilinx tool with different field programmable gate array (FPGA) families. The result shows that effectiveness of proposed HCP design in terms of hardware utilization, power consumption and throughput over existing design.
Caste relations in student diversity: Thinking through Dr Ambedkar’s perspective towards a civic learning approach in higher education

The chairman of the drafting committee of the modern Indian Constitution, Dr Bhim Rao Ambedkar, emphasized that education cultivates democracy in society, strengthens the roots of democracy, and brings about social transformation. The social transformation includes a way of life that will promote liberty, equality, and fraternity, which are Dr Ambedkar’s “key elements of an ideal society”. This paper discusses the implications for higher education campuses for achieving an ideal society in light of the emerging evidence on peer group formation around identities and issues of discrimination associated with caste in the context of increasing student diversity. The paper also emphasizes the important role of a civic-learning approach to higher education; meaning an active engagement with values of liberty, equality, and fraternity. There is a shared belief that higher education has a great potential to be a social laboratory for civic learning and to inculcate democratic values and foster peaceful interactions among members of diverse groups .
CYTOTOXIC AND PHYTOCHEMICAL INVESTIGATION OF COUSINIA ERMENEKENSIS HUB.-MOR.

Cousinia is one of the widespread genera of Asteraceae family. There are numerous studies on this genus and it has not been examined phytochemically in detail. Thus, we aimed to evaluate the phytochemical composition and the cytotoxic effect of Cousinia ermenekensis on human lung cancer (A549), human colon adenocarcinoma (Colo 205), hepatocellular carcinoma (HepG2) cell lines and human bronchial epithelial (Beas-2b) cell line. C. ermenekensis methanol extract showed higher cytotoxic activity against Colo 205 cell line (IC50 = 69 μg/mL). A preliminary examination of the mass spectrums revealed the presence of 13 compounds in the extract. According to the quantitative analyses, the highest content of chlorogenic acid, malic acid, quinic acid and, rutin were detected in extract (28.496, 18.264, 15.115 and 12.506 μg/mg extract respectively).
Energy Meter Data Analysis Using Machine Learning Techniques

With the advancement of technology, existence of energy meters are not merely to measure energy units. The proliferation of energy meter deployments had led to significant interest in analyzing the energy usage by the machines. Energy meter data is often difficult to analyzeowing to the aggregation of many disparate and complex loads. At utility scales, analysis is further complicated by the vast quantity of data and hence industries turn towards applying machine learning techniques for monitoring and measuring loads of the machines. The energy meter data analysis aims at analyzing the behavior of the machine and providing insights on usage of the energy. This will help the industries to identify the faults in the machine and to rectify it.Two use cases with two different motor specifications is considered for evaluation and the efficiency is proved by considering accuracy, precision, F-measure and recall as metrics.
Evaluation of Neutrophil Gelatinase-Associated Lipocalin and Cystatin C in Early Diagnosis of Chronic Kidney Disease in the Absence of the Gold Standard

Background: Glomerular filtration rate (GFR) is considered as a gold standard of kidney function. However, using GFR as the gold standard is not common in clinical practice, because its direct measurement is usually expensive, cumbersome, and invasive. In the present study, we assessed the predictive power of two other biomarkers, Cystatin-C (Cys-C) and Neutrophil Gelatinase-Associated Lipocalin (NGAL) for early detection of chronic kidney diseases (CKD) in the absence of a gold standard. Materials and Methods: In this study, 72 patients who referred to the Shohadaye Tajrish Hospital of Tehran, Iran, for measuring their kidney function were studied. The ELISA method was utilized for measuring plasma NGAL (PNGAL) and serum Cys-C (SCys-C). The Bayesian latent class modeling approach was applied to asses the predictive power of these biomarkers. Results: While both the biomarkers had rather high sensitivities (PNGAL=91%, SCys-C= 89%), the specificity of SCys-C biomarker was very lower than the one of PNGAL (SCys-C=56%, PNGAL=94%). The estimated area under the receiver operating characteristic (ROC) curve for SCys-C as the single biomarker for the diagnosis of CKD was about 0.76, while a similar estimate for PNGAL was 0.93. The added value of PNGAL to SCys-C for the diagnosis of CKD in terms of the ROC curve was about 0.19, while the added value of SCys-C to PNGAL was less than 0.02. Conclusion: In general, our findings suggest that PNGAL can be utilized as a single reliable biomarker for early detection of CKD. In addition, results showed that when a perfect gold standard is not available, Bayesian approaches to latent class models could lead to more precise sensitivity and specificity estimates of imperfect tests.
The Oligocene and Miocene Outliers of West Cornwall and their Bearing on the Geomorphological Evolution of Oldland Britain

The Tertiary sediments preserved at St Agnes, Crousa Downs and Polcrebo Downs, Cornwall, are described in detail. The deposits at St Agnes have yielded two contrasting floras, one mid-Oligocene, the other Miocene in age. The latter appears to be the first recorded proven Miocene extant in the British landscape. Accordingly, it has become necessary to distinguish two discrete outliers at St Agnes: that termed the St Agnes Formation sensu stricto (Miocene) and the Beacon Cottage Farm Formation (Oligocene, the local equivalent of the Bovey Formation). A tripartite stratigraphy is proposed for the former, the upper and lower Members comprising wind-blown sands and the middle Member a colluvial slope-wash deposit; all were apparently formed under warm-temperate conditions. The sediments at Crousa and Polcrebo remain undated; both preserve deep weathering profiles of tropical or subtropical type in the Palaeozoic floor below and are themselves much affected by in situ deep weathering. Structurally, all four outliers appear to be simple erosional relics of once more widespread and, possibly, thicker sheets. No secondary structures have been identified. All four apparently survived as a result of their locations on prominent watersheds originating in at least mid- or even early Tertiary times. The geomorphological relations of the four outliers are considered in detail. The sub-St Agnes Surface is shown to be the homologue of a planation surface that is widely developed in west Cornwall at an elevation of between ca. 75-131 m above sea level (ASL). The latter is redefined and termed the Reskajeage Surface. Its age is shown to be pre-Upper Miocene rather than Pleistocene, as was previously widely held. There is indirect evidence that it formed subaerially over a long period during mid-Tertiary times; essentially, it appears to be an etchplain of tropical and subtropical origins, now largely stripped of its former saprolitic cover. It is demonstrated that the grosser physiography of west Cornwall was established by the end of the Palaeogene at the latest and, also, that the area has probably never been inundated by Tertiary seas, except shallowly near to the end of that period (i.e. by the St Erth transgression). The prolonged morphodynamic stability of the region, as established in this paper, has important consequences for the interpretation of landscape evolution elsewhere in areas of Oldland (i.e. post-Armorican) western Europe, especially where datable Tertiary deposits have yet to be recognized.
Combining Random Forest and Neural Networks Algorithms to Diagnose Heart Disease

Introduction: Heart disease is known as one of the most important causes of death in today's society and so far no definitive method has been found to predict it and several factors are effective in contracting this disease. Therefore, the aim of this study was to provide a data mining model for predicting heart disease.Material and Methods: This study used standard data from UCI. These data include four Cleveland, Hungarian, Swiss and Long Beach VA databases. These data include 13 independent variables and one dependent variable. The data are missing, and the EM algorithm was used to control this loss, and at the end of the data, a suggestion algorithm was implemented that combined the two random forest algorithms and the artificial neural network.Results: In this study, data was divided into two training sets and 10-Fold method was used. To evaluate the algorithms, three indicators of sensitivity, specificity, accuracy were used and the accuracy of the prediction algorithm for four data Cleveland, Hungarian, Switzerland and Long Beach VA reached 87.65%, 94.37%, 93.45% and 85%, respectively. Then, the proposed algorithm was compared with similar articles in this field, and it was found that this algorithm is more accurate than similar methods.Conclusion: The results of this study showed that by combining the two algorithms of random forest and artificial neural network, a suitable model for predicting heart attacks can be provided.
Inhibitory Effect of Cheese Whey on Cucumber Mosaic Virus and Pepper Mottle Virus in Capsicum annuum

Evaluations were made for the effects of cheese whey treatment on infection of pepper plants by cucumber mosaic virus-Vch (CMV-Vch) and pepper mottle virus-Kr (PepMoV-Kr). In a greenhouse, pepper plants sprayed with whey, prior to inoculation by CMV-Vch using aphids, showed a viral infection rate significantly lower (6.6%) than for the control (23.3%). In an open field experiment, in which CMV infection relied on natural transmission by aphids, pepper plants were sprayed with undiluted whey once a week, starting on the transplanting date (May 2) to the end of June. On June 5, these whey-sprayed plants showed a CMV infection rate reduced by 18.9% and 16.7%, compared to untreated and pesticide-treated plants, respectively. In the greenhouse, pepper plants inoculated with PepMoV-Kr mixed with whey showed a viral infection rate decreased by 60% compared to the control. The accumulated amount of PepMoV-Kr coat protein was less than that for the virusonly control at 6 days post inoculation (dpi), but increased up to a similar level as the control at 9 dpi. This study showed that cheese whey is effective in reducing infection of both CMV and PepMoV in pepper plants.
Instantaneous Pressure-Volume Relationships and Their Ratio in the Excised, Supported Canine Left Ventricle

We have previously shown in the normally ejecting canine left ventricle that E(t), the time-varying ratio of instantaneous pressure, P(t), to instantaneous volume, V(t), is little affected by end-diastolic volume or aortic pressure. The present study on an excised, supported canine heart preparation indicates that the thesis on E(t) is also valid for either totally isovolumic or auxobaric beats. Intraventricular volume was measured more accurately than it was in the previous study by a new volumetric system. Regression analysis of the data showed that the instantaneous pressure-volume relationship could be approximated by the equation P(t) = E(t). [V(t) - Vd], where Vd is an empirical constant, over a wide range of intraventricular volume. Similar E(t) curves were obtained from both isovolumic and auxobaric beats for a given contractile state. When the contractile state of the preparation was enhanced by a constant-rate infusion (0.2 µg/min) of norepinephrine or isoproterenol into the coronary artery, the .
Superhydrophilic and underwater superoleophobic nanofibrous membrane for separation of oil/water emulsions

Membranes with special wettability have attracted increasing interest for oil/water separation. Herein, the cellulose-based nanofibrous membrane was fabricated in an aqueous system by an electrospinning technique. The membrane was then modified successively through coating polydopamine and polyethyleneimine on the surface, which endowed the membrane with superhydrophilic and underwater superoleophobic character. The composition and morphology of the resultant membrane were characterized by attenuated total reflectance Fourier transform infrared spectra, X-ray photoelectron spectroscopy, and field-emission scanning electron microscope, respectively. Surfactant-stabilized oil-in-water emulsions were used to evaluate the separation performance of the membrane at different pH values. It was found that the membrane displayed the excellent antifouling property and separation performance for all different emulsions, with separation efficiency above 99.1% due to the development of a hydration layer underwater on the membrane surface. The reusability study indicated that the modification coating was stable enough to effectively separate emulsions after recycling at least 20 times. The developed nanofibrous membrane, as well as the corresponding modification strategy, enriched the application of membranes with special wettability in the field of oil spills and oily wastewater treatments.
Biocompatible Hybrid Nanomaterials Involving Polymers and Hydrogels Interfaced with Phosphorescent Complexes and Toxin-Free Metallic Nanoparticles for Biomedical Applications

The major topics discussed are all relevant to interfacing brightly phosphorescent and non-luminescent coinage metal complexes of [Ag(I) and Au(I)] with biopolymers and thermoresponsive gels for making hybrid nanomaterials with an explanation on syntheses, characterization and their significance in biomedical fields. Experimental results and ongoing work on determining outreaching consequences of these hybrid nanomaterials for various biomedical applications like cancer therapy, bio-imaging and antibacterial abilities are described. In vitro and in vivo studies have been performed on majority of the discussed hybrid nanomaterials and determined that the cytotoxicity or antibacterial activity are comparatively superior when compared to analogues in literature. Consequential differences are noticed in photoluminescence enhancement from hybrid phosphorescent hydrogels, phosphorescent complex ability to physically crosslink, Au(I) sulfides tendency to form NIR (near-infrared) absorbing AuNPs compared to any similar work in literature. Syntheses of these hybrid nanomaterials has been thoroughly investigated and it is determined that either metallic nanoparticles syntheses or syntheses of phosphorescent hydrogels can be carried in single step without involving any hazardous reducing agents or crosslinkers or stabilizers that are commonly employed during multiple step syntheses protocols for syntheses of similar materials in literature. These astounding results that have been discovered within studies of hybrid nanomaterials are an asset to applications ranging from materials development to health science and will have striking effect on environmental and green chemistry approaches.
A Review of Numerical and Experimental Studies of the Anti-Fairing

An anti-fairing is a concave deformation of the wall around a wing-body junction that can decrease the aerodynamic drag through the activation of a propulsive force generated by the interaction of the curved concave shape and the high-pressure region in proximity of the wing leading-edge. Although this mechanism is well understood, the dynamics of the interaction between the anti-fairing and the junction ﬂow remain largely unexplored. This work brings together all the numerical and experimental studies of the anti-fairing to investigate its eﬀect on turbulent quantities and the robustness of its design to changes to the incoming ﬂow parameters, and to estimate the drag change with respect to a normal wing/ﬂat-plate conﬁguration. It is found that the interaction of the streamwise pressure gradient generated by the anti-fairing with the incoming boundary layer substantially reduces the shear responsible for viscous drag. Furthermore, no signiﬁcant inﬂuence of the incoming boundary layer thickness on the anti-fairing performance is observed. However, a direct drag measurement with a force balance casts some doubts on the possibility to achieve large drag reductions.
Sistem Pendukung Keputusan Penentuan Calon Penerima Beasiswa Menggunakan Metode Simple Additive Weighting (SAW) Berbasis Web

Politeknik Negeri Tanah Laut mengelola program beasiswa Bidikmisi dan PPA (Peningkatan Prestasi Akademik) untuk calon mahasiswa maupun mahasiswanya. Penentuan penerima beasiswa selama ini menggunakan microsoft excel dengan memasukkan data pendaftar beasiswa dan melakukan perhitungan berdasarkan kriteria penilaian pada masing-masing beasiswa. Proses penyeleksian tersebut memerlukan waktu serta ketelitian yang relatif lama karena setiap berkas yang dikumpulkan mahasiswa maupun calon mahasiswa akan dibandingkan dengan setiap kriteria beasiswa. Permasalahan tersebut dapat diatasi dengan membangun sistem pendukung keputusan berbasis web untuk memilih calon penerima beasiswa. Pengambilan keputusan penentuan calon penerima beasiswa mengguakan metode Simple Additive Weighting (SAW) dilakukan dengan memberikan nilai bobot pada setiap atribut dan dilanjutkan dengan proses perangkingan untuk menyeleksi alternatif yang ada. Pengembangan sistem dilakukan dengan bahasa pemrograman Hypertext Preprocessor (PHP) dengan framework CodeIgniter. Penelitian ini bertujuan untuk melakukan perangkingan terhadap nilai bobot setiap atribut yang menjadi persyaratan dalam penentuan beasiswa. Tingkat ketepatan antara jawaban yang diperoleh dari sistem dengan informasi yang diminta oleh pengguna dapat diketahui dengan melakukan pengujian perbandingan hasil perhitungan pada sistem dengan hasil perhitungan manual.