Miracle-dz/UniFAR-FTUs huggingface dataset:
A comprehensive approach to transient stability control. I. Near optimal preventive control

A general approach to real-time transient stability control is proposed, and two complementary techniques are devised: one for preventive, the other for emergency control. In this paper, the general transient stability control approach is first revisited then applied to real-time preventive control. The technique consists of shifting active power generation. The amount of power and the machines from which to shift it are methodically determined, and various patterns of generation decrease/increase are considered. Further, a standard OPF algorithm is combined with this control technique to get a real-time transient stability-constrained OPF software, able to meet power system security and electricity market requirements. Simulations conducted on the 88-machine EPRI system and the Mexican interconnected power system illustrate the various techniques, highlight their specifics, and assess their performance.
Influence of Apolipoprotein E, Smoking, and Alcohol Intake on Carotid Atherosclerosis Study

Background —Apolipoprotein E (apoE) isoforms and lifestyle factors play an important role in the development of coronary heart disease. The association of apoE and carotid atherosclerosis remains controversial. Methods —We investigated the relation of apoE, cigarette smoking, alcohol drinking, and their interaction with carotid atherosclerosis on 544 individuals free of coronary heart disease in the National Heart, Lung, and Blood Institute (NHLBI) Family Heart Study. Atherosclerotic lesions of the carotid arteries were detected through high-resolution ultrasound. Results —Subjects in the apoE4 group had lower blood pressure, lower high-density lipoprotein cholesterol, and higher low-density lipoprotein cholesterol. In a multivariate logistic regression model, apoE isoforms and alcohol consumption were not significantly associated with the prevalence odds of carotid atherosclerosis ( P (cid:1) 0.94 and 0.98, respectively, for trend). In contrast, compared with those who never smoked, the prevalence odds ratios for carotid atherosclerosis were 1.7 [95% confidence interval (CI),1.1 to 2.7], 2.8 (95% CI, 1.2 to 6.2), and 1.9 (95% CI, 0.7 to 5.5) for former smokers, current smokers of 1 to 20 cigarettes per day, and current smokers of (cid:2) 20 cigarettes day, respectively ( P (cid:1) 0.0018 for trend). We did not find evidence of an interaction between apoE and alcohol consumption. Our data suggested a synergistic effect between the apoE allele (cid:1) 4 and smoking on carotid atherosclerosis: odds ratios were 1.7 (95% CI, 0.8 to 3.6) for smoking alone, 1.0 (95% CI, 0.6 to 1.8) for (cid:1) 4 alone, and 3.7 (95% CI, 1.1 to 3.6) for the joint presence of the apoE allele (cid:1) 4 and smoking. and (cid:2) 2 analysis for categorical variables. We fitted a logistic regression model to assess the relation of different exposure variables and the presence of carotid atherosclerosis. Because of the familial clustering among individuals in this study, we used generalized estimating equations to account for familial clustering. The simple model adjusted for age and sex. The multivariate model controlled for age, sex, body mass index, physical activity, LDL, HDL, smoking, systolic blood pressure, and history of hypertension. Further adjustment for education, field center, and exercise did not alter the results.
Secret Sharing of IoT Healthcare Data Using cryptographic algorithm

— Healthcare data are vital in patients surveillance. These data should have best quality to give finest treatment to patients. Many security threats affect originality of medical data. Nowadays anytime anywhere access of medical data is provided with the help of astounding technology called Internet of Things (IoT). IoT based healthcare has enormous applications however, it facilitates data abuse such as data breach and healthcare fraud. Sensitive, protected data is theft by the unauthorized person due to data abuse which degrades the quality of medical service. In this paper, secure data routing is done in IoT based healthcare to enhance security of medical data.
in Synergy with IFNs Anticancer Activity of Sodium Stibogluconate

Cancer cell resistance limits the efﬁcacy of IFNs. In this study, we show that sodium stibogluconate (SSG) and IFN- (cid:1) synergized to overcome IFN- (cid:1) resistance in various human cancer cell lines in culture and eradicated IFN- (cid:1) -refractory WM9 human melanoma tumors in nude mice with no obvious toxicity. SSG enhanced IFN- (cid:1) -induced Stat1 tyrosine phosphorylation, inactivated intracellular SHP-1 and SHP-2 that negatively regulate IFN signaling, and induced cellular protein tyrosine phosphorylation in cancer cell lines. These effects are consistent with inactivation of phosphatases as the basis of SSG anticancer activity. Characterization of SSG by chromatography revealed that only selective compounds in SSG were effective protein tyrosine phosphatase inhibitors. These observations suggest the potential of SSG as a clinically usable protein tyrosine phosphatase inhibitor in cancer treatment and provide insights for developing phosphatase-targeted therapeutics. The Journal of Immunology, 2002, 169: 5978– 5985.
Time–frequency analysis of PD-induced UHF signal in GIS and feature extraction using invariant moments

The ultra-high-frequency (UHF) method is efficient in partial discharges (PDs) detection in gas-insulated switchgear (GIS). The features extraction of UHF signals is significant for propagation characteristics analysis and PD pattern classification. The PD-induced UHF signals are acquired by the internal UHF sensors in an actual 252 kV L-shaped GIS. The short-time Fourier transform method is applied to process UHF signals and describe the propagation characteristics in L-shaped GIS. Hu's invariant moments of energy density distribution are extracted as features in time-frequency plane. The features are utilised to discriminate different PD defect patterns in actual GIS model by the support vector machine classifier and achieve good results. Finally, a novel system of features extraction and classification of UHF signals is summarised.
Design of compact optical devices based on periodic meta-structures

DESIGNS OF COMPACT OPTICAL DEVICES BASED ON PERIODIC META-STRUCTURES Ahmet Emin Akosman M.S. in Electrical and Electronics Engineering Supervisor: Prof. Dr. Ekmel Özbay July, 2013 Manipulation of the flow of light is demanded for several applications such as communication, data storage, sensor, photovoltaic cells, microscopy, lasers and light emitting diodes for the purpose of designing compact, high-throughput and high efficiency optical devices. Nevertheless, the control of the propagation of the light becomes much harder in devices with smaller geometries mostly because of diffractions, loss mechanisms and fabrication difficulties. Furthermore, materials that are already available in the nature do not provide unprecedented optical properties for nanoscale optical applications. Due to this fact that fabrication of artificial materials is needed for utilizing novel and intriguing optical devices. For this purpose, some relatively new research fields have emerged like photonic crystals, metamaterials and high contrast gratings. We propose several designs based on aforementioned meta-structures to achieve compact and practically realizable optical devices. We presented compact optical demultiplexer, diode-like device and electro-optic modulator designs that are based on photonic crystals. We also proposed two circular polarizer designs based on metamaterials and high contrast gratings. Further, we investigated unidirectional transmission and polarization manipulation properties in chiral metamaterials. For most of the proposed designs, we also experimentally verified the numerical and theoretical findings. In conclusion, we can claim that the utilization of artifically structured materials give opportunity to realize the control of light much more easily in nanoscale designs.
Univariate Modeling of the Timings and Costs of Unknown Future Project Streams: A Case Study

—Providing a practical and comprehensive methodology to facilitate management and coordination of multiple projects in a company’s portfolio is a challenging task. Historically, the focus of research has been limited to the selection and prioritization of the set of known projects, current and near future. It is argued that existing portfolio planning models can be improved by adding a stochastic generator of project streams that extends the portfolio and strategic planning horizon to include future unknown projects. The study both identifies the historical factors in the market that are strong predictors of the profile of future project streams and evaluates alternative modeling approaches to the problem. The outputs from the generator are those parameters most critical to a company, namely the occurrence and letting date of a project, its expected duration, and its expected cost. A case study of design-bid-build highway construction projects let by the Florida Department of Transportation (FDOT) is presented for developing, validating and testing the concept of a project stream generator. The results show that FDOT’s future projects can be stochastically forecasted by using historical data and autoregressive moving average modeling along with sampling from representative distributions of cost and durations of FDOT’s projects.
Standard Document Template Microsoft Word versi 7 Untuk Jurnal Matematika dan Sains versi I, 15 Oktober 1998

We propose a novel high resolution microscopy technique for enantio-specific detection of chiral samples down to sub-100 nm size, based on force measurement. We delve into the differential photo-induced optical force F  exerted on an achiral probe in the vicinity of a chiral sample, when left and right circularly polarized beams separately excite the sample-probe interactive system. We analytically prove that F  is entangled with the enantiomer type of the sample enabling enantio-specific detection of chiral inclusions. Moreover, we demonstrate that F  is linearly dependent on both the chiral response of the sample and the electric response of the tip and is inversely related to the quartic power of probe-sample distance. We provide physical insight into the transfer of optical activity from the chiral sample to the achiral tip based on a rigorous analytical approach. We support our theoretical achievements by several numerical examples, highlighting the potential application of the derived analytic properties. Lastly, we demonstrate the sensitivity of our method to enantiospecify nanoscale chiral samples with chirality parameter in the order of 0.01, and discuss how this could be further improved.
Robust and Effective Banknote Recognition Model for Aiding Visual Impaired People

Info 2021 Visual disabled Ethiopians find great difficulty in recognizing banknotes. Each Ethiopian banknote has an identical feel, with no Braille markings, irregular edges, or other tangible features that make it easily recognizable by blind persons. In Ethiopia, there's only one device available that will assist blind people to acknowledge their notes. Internationally, there are devices available; however, they're expensive, complex, and haven't been developed to cater to Ethiopian currency. Because of these facts, visually impaired people may suffer from recognizing each folding money. This fact necessitates a higher authentication and verification system that will help visually disabled people to simply identify and recognize the banknotes. This paper presents a denomination-specific component-based framework for a banknote recognition system. Within the study, the dominant color of the banknotes was first identified and so the exclusive feature for every denomination-specific ROI was calculated. Finally, the Colour-Momentum, dominant color, and GLCM features were calculated from each denomination-specific ROI. Designing the recognition system by thereby considering the denomination-specific ROI is simpler as compared to considering the entire note in collecting more class-specific information and robust in copying with partial occlusion and viewpoint changes. The performance of the proposed model was verified by using a larger dataset of which containing banknotes in several conditions including occlusion, cluttered background, rotation, and changes of illumination, scaling, and viewpoints. The proposed algorithm achieves a 98% recognition rate on our challenging
Sandstones and phosphatized calcareous sediments of the Lower Cambrian Rispebjerg Sandstone,

The Rispebjerg Sandstone on the island of Bornholm, Denmark, consists of sandstone layers intercalated with phosphorite layers. The phosphorite lit hology is composed of micritic phosphorite containing varying amounts of terrigenous grains and minor amounts of calcareous and non-calcareous allo chems. Mineralogically, the micritic phosphorite is chiefly composed of car bonate-apatite, according to X-ray diffractograms. More or less complete calcite replacement by phosphate occurs both in the micrite and in the calca reous allochems. Bioturbation must have been intense as most depositional sedimentary structures have been destroyed. The most plausible explanation of the phosphorite lithology is that calcareous mud was deposited in a barred lagoon in which storms blew back sand from the barrier. Sand and mud were then mixed by bioturbation. Penecontemporaneously with the deposition of this sediment, phosphatization of calcite by phosphorous from sea water is judged to have occurred. The sandstone lithologies are calcitic siliceous submature glauconitic qu artzarenite, calcitic submature quartzarenite and siliceous submature quart zarenite. Gravel-sized grains are present in the two latter sandstone types. All the sandstones are characterized by good roundness (Mg > 3g) and mo derate sorting (a 0 > 0,50 0). These textural parameters indicate textural inversion. The roundness is interpreted as inherited from older sediments. The sandstones may have been deposited in the tidal complex on the land ward side of the sandy barrier.
THE AWARENESS OF THE RELATIONSHIP BETWEEN PERIODONTAL HEALTH AND DIABETES AMONG PATIENTS IN HAIL REGION.

: Introduction: The importance of periodontal health maintenance and promotion in patients with diabetes mellitus has been supported. Evidence reveals that many diabetic patients are unaware about effects of their condition on oral health and periodontal diseases. The aim of this study is to evaluate awareness, attitudes and practices of diabetic patients concerning the risk of periodontal disease and prevention. Materials and Methods: In this cross-sectional study, 186 diabetic patients attending one of the three outpatient clinics at King Khalid Hospital, Hail Hospital, and Salamat Hospital in Hail City, Saudi Arabia, were recruited. Patients completed questionnaires, which was divided into six parts about their knowledge, attitude and practice of oral health in diabetes mellitus. Informed consent was taken from all participants. The data of completed questionnaire were scored and analyzed. Results: A majority of diabetic patients visit dentists only if needed (62%), however, a minority visit dentists on a regular basis. Forty-three percent brush their teeth once daily. Only 52.7% of patients were aware of the bidirectional relationship between diabetes and periodontal health problems. Relatives were the main source of diabetes-related information in our population (17%). Conclusion: This study demonstrated the poor awareness and practices as regards the relationship between diabetes and periodontal health.
An Incentive Based Opportunistic Routing Protocol (I-ORP) Using Human Mobility Pattern in a Mobile Ad-hoc Social Network

- In our understanding of how individual mobility patterns shape and impact the social network is limited, but is essential for a deeper understanding of network dynamics and evolution. This question is largely unexplored, partly due to the difficulty in obtaining large-scale society-wide data that simultaneously capture the dynamical information on individual movements and social interactions. Human mobility patterns are complex and distinct from one person to another. Nevertheless, motivated by tremendous potential benefits of modeling such patterns in enabling new mobile services and technologies, researchers have attempted to capture salient characteristics of human mobility. In this review paper we are going to discuss the different routing protocols used for human mobility model i.e. DSR, AODV, CHAMP and proposed a protocol for human mobility model i.e. I-ORP (Incentive Based Opportunistic Routing Protocol). In the proposed protocol we are going to use Incentive protocol with the social networking pattern.
Heterodimers of (cid:1) 1B - and (cid:1) 1D -Adrenergic Receptors Form a Single Functional Entity

Heterologous expression of (cid:1) 1D -adrenergic receptors ( (cid:1) 1D - ARs) in most cell types results in intracellular retention and little or no functionality. We showed previously that heterodimeriza- tion with (cid:1) 1B -ARs promotes surface localization of (cid:1) 1D -ARs. Here, we report that the (cid:1) 1B -/ (cid:1) 1D -AR interaction has significant effects on the pharmacology and signaling of the receptors, in addition to the effects on trafficking described previously. Upon coexpression of (cid:1) 1B -ARs and epitope-tagged (cid:1) 1D -ARs in both human embryonic kidney 293 and DDT 1 MF-2 cells, (cid:1) 1D -AR binding sites were not detectable with the (cid:1) 1D -AR selective antagonist 8-[2-(4-(2-methoxyphenyl)piperazin-1-yl)ethyl]-8-azaspiro[4,5]decane-7,9-dione (BMY 7378), despite the ability to detect (cid:1) 1D -AR protein using confocal microscopy, immunoprecipitation, and a luminometer cell-surface assay. However, the (cid:1) 1B -AR-selective mutant F18A conotoxin showed a striking biphasic inhibition in (cid:1) 1B / (cid:1) 1D -AR-expressing cells, revealing that (cid:1) 1D -ARs were expressed but did not bind BMY 7378 with high affinity. Studies of norepinephrine-stimulated inositol phosphate formation showed that maximal responses were greatest in (cid:1) 1B / (cid:1) 1D -AR-coexpressing cells. Stable coexpres- sion of an uncoupled mutant (cid:1) 1B -AR ( (cid:1) 12) with (cid:1) 1D -ARs resulted in increased responses to norepinephrine. However, Schild plots for inhibition of norepinephrine-stimulated inositol phosphate formation showed a single low-affinity site for BMY 7378. Thus, our findings suggest that (cid:1) 1B / (cid:1) 1D -AR heterodimers form a single functional entity with enhanced functional activity relative to either subtype alone and a novel pharmacological profile. These data may help to explain why (cid:1) 1D -ARs are often pharmacologically undetectable in native tissues when they are coexpressed with (cid:1) 1B -ARs.
Hair Restoration Surgery: an Up-to date for Maxillofacial Surgeons

In human skin, the role of Mesenchymal Pluripotent Cells (MPC) is to restore and repopulate the cells above the basal membrane. The place in where the multipotent cells are located is so called “niches” [2]. There are three mayor niches in where MPC can be found: interfollicular epidermis, adjacent to the bulge of the hair follicle and in sebaceous glands [3]. Some studies consider crucial the role of the MPC in hair growth and loss [4]. Androgenetic Androgenetic Alopecia (AGA) is the most common cause of hair loss in men, and one of the most common cause in women. It is characterized by a progressive thinning of the FU, also called “miniaturization” of the follicle. Usually affects before the 50´s, being auto regulated after this time. The pattern of hair loss affects to the frontal, bitemporal and vertex regions Abstract Current techniques in aesthetic hair transplantation achieves natural and predictable results in patients. There are some specific indications in the field of Oral and Maxillofacial Surgery in which hair transplantation can offer a cosmetic improvement of the patient. In this review, the anatomy and natural cycle of the hair, the extraction and implantation techniques and the detailed indications will be revisited.
Predictors of First-Year Retention among Undergraduate Engineering Students Who Earn a C in their First-Semester Math Course

learning research in cyber security for industrial control systems. In his teaching, Hieb focuses on innovative and effective use of tablets, digital ink, and other technology and is currently investigating the use of the ﬂipped classroom model and collaborative learning. His research in cyber security for industrial control systems is focused on high assurance ﬁeld devices using microkernel architectures. Abstract This Complete Research Paper examines non-cognitive predictors of first-year engineering retention for students who received a C in their first semester mathematics course at the University of Louisville. Scores across eight non-cognitive measures served as model predictors, obtained at the beginning of the first year, including: value interest in engineering, perceived effort, opportunity, and psychological costs, perceived belonging uncertainty, contingencies of self-worth: academic competence, test anxiety, and self-efficacy. Using least absolute shrinkage and selection operator regression, we found that value interest and test anxiety were the strongest predictors of C-student retention. The results from this study inform research on the decision-making of students that have potential for graduation but are at risk of leaving engineering. Our results indicate that a strategic intervention in increasing interest in engineering may lead to strong gains in engineering retention at this university, and potentially others as well. the determine math Engineering. Curricular ways to improve interest in engineering include design-based learning experiences, introducing current real-world engineering challenges, and connecting students to potential employers. Future work include identifying or designing an interest intervention measuring its impact with a controlled research design.
Feature Engineering vs Feature Selection vs Hyperparameter Optimization in the Spotify Song Popularity Dataset

Research in Featuring Engineering has been part of the data pre-processing phase of machine learning projects for many years, but we sometimes forget its importance. It can be challenging for new people working with machine learning to understand its importance along with various approaches to find an optimized model. This work uses the Spotify Song Popularity dataset to compare and evaluate Feature Engineering, Feature Selection and Hyperparameter Optimization. The result of this work will demonstrate that Feature Engineering has a greater effect on model efficiency when compared to the alternative approaches. Keywords-feature engineering; language identification; feature selection; hyperparameter optimization; cross-validation.