Miracle-dz/UniFAR-FTUs huggingface dataset:
An Incentive Framework for Cellular Traffic Offloading

Cellular networks are facing severe traffic overloads due to the proliferation of smart handheld devices and traffic hungry applications. This paper tries to offload the cellular network traffic through Opportunistic Communications and Social Participation formed by the short-range communication technologies in the smart phones (e.g., Wi-Fi, Bluetooth). We design an Enhanced Greedy algorithm for target set selection Problem. Our design enables to select the most active, fixed located and having more energy mobile nodes into the Targetset, which affect the more number of infected users. Our simulation results show that number of node covered by Enhanced Greedy algorithm is 89% and Greedy algorithm is 76%. We are able to achieve the rate of success information delivery over the networks in Enhanced Greedy and Greedy algorithms are 71% and 53% respectively. Keywords— Mobile data offloading, target-set selection, opportunistic communications, mobile social networks, cellular traffic offloading, Non-target set, Cellular networks
A new technique for the remote partial discharge monitoring of the stator insulation of high-voltage motors located in &#x201C;Ex&#x201D; (hazardous) locations

The authors present a paper on the application of a new technique for the remote on-line partial discharge monitoring of the stator insulation condition of in-service, high-voltage rotating machines. The technique applies wideband, ferrite-based high frequency current transformer sensors and high resolution measurement technology. This remote partial discharge monitoring technique has significant advantages when monitoring motors which are located in Ex hazardous gas zones in oil and gas and petrochemical facilities. The paper includes a technical review of published papers covering some of the history of the development of modern, on-line partial discharge sensors and measurement systems for rotating machines. This is followed by a comparison of the various partial discharge sensor options available and an introduction to the remote wideband partial discharge monitoring measurement technique employed by the authors. A case study from a recent pilot project (August 2011) where the new remote partial discharge monitoring measurement techniques were successfully trialed to measure partial discharge activity of in-service 10 kV motors in an oil processing facility is also presented.
Smart plug solution based on bluetooth low energy

This paper presents the complete solution for controlling and monitoring household products by using Bluetooth low energy (BLE) Smart Plug as a referent device, and an application implemented on Android OS. Unlike some other communication protocols, the Bluetooth Low Energy allows controlling devices directly from a tablet or a smart phone, without any requirements for additional gateways. The Smart Plug provides application programming interface (API) for control and power consumption measurement based on Generic Attribute Profile (GATT). Besides from standard on/off functionality, this solution enables user to monitor various power consumption parameters and, to have delayed control by using built in timer and power limitation.
Treatment of Instance-Based Classifiers Containing Ambiguous Attributes and Class Labels

of a thesis at the University of Miami. Thesis supervised by Professor Miroslav Kubat. No. of pages in text. (78) The importance of attribute vector ambiguity has been largely overlooked by the machine learning community. A pattern recognition problem can be solved in many ways within the scope of machine learning. Neural Networks, Decision Tree Algorithms such as C4.5, Bayesian Classifiers, and Instance Based Learning are the main algorithms. All listed solutions fail to address ambiguity in the attribute vector. The research reported shows, ignoring this ambiguity leads to problems of classifier scalability and issues with instance collection and aggregation. The Algorithm presented accounts for both ambiguity of the attribute vector and class label thus solving both issues of scalability and instance collection. The research also shows that when applied to sanitized data sets, suitable for traditional instance based learning, the presented algorithm performs equally as well. ACKNOWLEDGMENTS I would like to express my deepest gratitude to my advisor Dr. Miroslav Kubat for his patience and expert guidance and aid while I undertook this journey. Through his work as a professor and researcher I have come to respect and enjoy the path being cut through science by people like him. He opened my eyes to a world of research I never thought possible and encouraged me to be better than I thought I could. I have to thank my family because without their love and support none of this would have been possible. I would also like to thank my wife Lauren Holland for her love and support in those dark times of frustration and long nights. There are few people that could have put up with what I had to do.
Scale-up of a pan-coating process

The purpose of this work was to develop a practical scale-up model for a solvent-based pan-coating process. Practical scale-up rules to determine the key parameters (pan load, pan speed, spray rate, air flow) required to control the process are proposed. The proposed scale-up rules are based on a macroscopic evaluation of the coating process. Implementation of these rules does not require complex experimentation or prediction of model parameters. The proposed scale-up rules were tested by conducting coating scale-up and scale-down experiments on 24-inch and 52-inch Vector Hi-coaters. The data demonstrate that using these rules led to similar cumulative drug release profiles (f2≫50; and P Analysis of Variance [PANOVA]≫0.05 for cumulative percentage of drug released after 12 hours [Cum 12] from tablets made at 24- and 52-inch scales. Membrane characteristics such as opacity and roughness were also similar across the 2 scales. The effects of the key process variables on coat weight uniformity and membrane characteristics were also studied. Pan speed was found to be the most significant factor related to coating uniformity. Spray droplet size was found to affect the membrane roughness significantly, whereas opacity was affected by the drying capacity.
Updated meta-analysis of the association between CYP2E1 RsaI/PstI polymorphisms and lung cancer risk in Chinese population.

BACKGROUND A number of studies have reported relationships of CYP2E1 RsaI/PstI polymorphisms with susceptibility to lung cancer in Chinese population. However, the epidemiologic results have been conflictive rather than conclusive. The purpose of this study was to address the associations of CYP2E1 RsaI/PstI polymorphisms with lung cancer risk in Chinese population comprehensively. MATERIALS AND METHODS Systematic searches were conducted in the PubMed, Science Direct, Elsevier, CNKI and Chinese Biomedical Literature Databases. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to estimate the strength of association. RESULTS Overall, we observed a decreased lung cancer risk among subjects carrying CYP2E1 RsaI/PstI c1/ c2 and c1/c2+c2/c2 genotypes (OR=0.76, 95%CI: 0.64-0.90 and OR=0.78, 95%CI: 0.66-0.93, respectively), as compared with subjects carrying the c1/c1 genotype. In subgroup analysis, we observed a decreased lung cancer risk among c1/c2 carriers in hospital-based studies (OR=0.81, 95%CI: 0.68-0.98) and among carriers with c1/ c2 and c1/c2+c2/c2 genotypes in population-based studies(OR=0.57, 95%CI: 0.42-0.79 and OR=0.58, 95%CI: 0.43-0.79, respectively), as compared with subjects carrying the c1/c1 genotype. Limiting the analysis to studies with controls in Hardy-Weinberg equilibrium (HWE), we similarly observed a decreased lung cancer risk among c1/c2 and c1/c2+c2/c2 carriers (OR=0.73, 95%CI: 0.60-0.88 and OR=0.73, 95%CI: 0.60-0.88, respectively), as compared with c1/c1. CONCLUSIONS Our results suggested that CYP2E1 RsaI/PstI c1/c2 and c1/c2+c2/c2 variants might be a protective factor for developing lung cancer in Chinese population. Further well-designed studies with larger sample size are required to verify our findings.
Retinoid X Receptor Agonists Impair Arterial Mononuclear Cell Recruitment through Peroxisome Proliferator-Activated Receptor-γ Activation

Mononuclear cell migration into the vascular subendothelium constitutes an early event of the atherogenic process. Because the effect of retinoid X receptor (RXR)α on arterial mononuclear leukocyte recruitment is poorly understood, this study investigated whether RXR agonists can affect this response and the underlying mechanisms involved. Decreased RXRα expression was detected after 4 h stimulation of human umbilical arterial endothelial cells with TNF-α. Interestingly, under physiological flow conditions, TNF-α–induced endothelial adhesion of human mononuclear cells was concentration-dependently inhibited by preincubation of the human umbilical arterial endothelial cells with RXR agonists such as bexarotene or 9-cis-retinoid acid. RXR agonists also prevented TNF-α–induced VCAM-1 and ICAM-1 expression, as well as endothelial growth-related oncogene-α and MCP-1 release. Suppression of RXRα expression with a small interfering RNA abrogated these responses. Furthermore, inhibition of MAPKs and NF-κB pathways were involved in these events. RXR agonist-induced antileukocyte adhesive effects seemed to be mediated via RXRα/peroxisome proliferator-activated receptor (PPAR)γ interaction, since endothelial PPARγ silencing abolished their inhibitory responses. Furthermore, RXR agonists increased RXR/PPARγ interaction, and combinations of suboptimal concentrations of both nuclear receptor ligands inhibited TNF-α–induced mononuclear leukocyte arrest by 60–65%. In vivo, bexarotene dose-dependently inhibited TNF-α–induced leukocyte adhesion to the murine cremasteric arterioles and decreased VCAM-1 and ICAM-1 expression. Therefore, these results reveal that RXR agonists can inhibit the initial inflammatory response that precedes the atherogenic process by targeting different steps of the mononuclear recruitment cascade. Thus, RXR agonists may constitute a new therapeutic tool in the control of the inflammatory process associated with cardiovascular disease.
Speech emotion recognition using Radon and discrete cosine transforms based features from speech spectrogram

Speech Emotion Recognition (SER) is a multi-disciplinary research area that has received increased attention over the last years. The aim of a SER system is to recognize human emotion by analyzing acoustics of speech sound to improve the voice-based human-machine interactions. This study presents a new feature extraction technique for SER using Radon transform and discrete cosine transform (DCT). In order to capture the acoustic characteristics of the spectrogram, Radon projections are computed for seven orientations. DCT applied on Radon projections results in low dimensional feature vector. The extracted features are further reduced in dimensions using a filtering feature selection algorithm based on fisher discriminant ratio. The classification accuracy of the proposed SER system has been evaluated using the 10-fold cross-validation technique on the Berlin database. The average recognition rate of 87.38% and 85.04% were achieved for females and males, respectively. By considering the total number of males and females samples, the overall recognition rate of 86.36% was obtained.
Factor Analysis of a Scale to Assess State Self-Monitoring in Adolescents during Interview: A Pilot Study

Self-monitoring is the extent to which individuals regulate self-presentation for the sake of desired public appearances. Snyder developed a Self-Monitoring Scale to measure individual differences on this construct. Since the measure could be insensitive to situational influences, it is uncertain whether the short-term self-monitoring elicited by certain social interactions could be examined. The present study explored the factor structures of a state self-monitoring scale which was adapted from 10 items of the Self-Monitoring Scale. Participants took part in an individual interview with an unfamiliar authority, and then completed the State Self-Monitoring Scale. Two samples of adolescents (N = 98 and N = 95) were tested. Exploratory factor analysis and confirmatory factor analysis using the two samples indicated that the 9-item State Self-Monitoring Scale had two stable factors. There was a statistically significant difference on State Self-monitoring between adolescents with high and low academic achievement, supporting the validity of the scale.
Forensic Entomology in Animal Cruelty Cases

Forensic entomology can be useful to the veterinary professional in cases of animal cruelty. A main application of forensic entomology is to determine the minimum postmortem interval by estimating the time of insect colonization, based on knowledge of the rate of development of pioneer colonizers and on insect species succession during decomposition of animal remains. Since insect development is temperature dependent, these estimates require documentation of the environmental conditions, including ambient temperature. It can also aid in the detection and recognition of wounds, as well as estimate the timing of periods of neglect. Knowledge of the geographic distribution of insects that colonize animal remains may suggest that there has been movement or concealment of the carcass or can create associations between a suspect, a victim, and a crime scene. In some instances, it can aid in the detection of drugs or toxins within decomposed or skeletonized remains. During animal cruelty investigations, it may become the responsibility of the veterinary professional to document and collect entomological evidence from live animals or during the necropsy. The applications of forensic entomology are discussed. A protocol is described for documenting and collecting entomological evidence at the scene and during the necropsy, with additional emphasis on recording geographic location, meteorological data, and collection and preservation of insect specimens.
Classification and histogenesis of gastroenteropancreatic endocrine tumours

Abstract. A series of 267 gastroenteropancreatic endocrine tumours has been revised from the point of view of histopathologic diagnosis, hormonal profile and clinical behaviour. Results of this investigation, together with revised concepts on the histogenesis of gastroenteropancreatic endocrine growths, allowed to develop detailed classification systems which proved useful for precise tumour diagnosis and for clinico‐pathologic correlation, with special reference to tumour function, prognosis and therapy. Among 132 pancreatic growths, various types of islet cell tumours (61 cases), with (45 cases) or without (16 cases) hyperfunctional syndrome, were separated from different types of gut‐related (38 cases) and ‘ectopic’ (three cases) tumours, as well as from 25 non‐functioning, locally symptomatic tumours, three small cell carcinomas and two mixed endocrine‐exocrine tumours. Among 97 intestinal tumours, 39 argentaffin EC cell carcinoids, mostly from the appendix and ileum, were separated from 23 hindgut‐type carcinoids, mostly from the rectum, 22 gastrin cell tumours, mainly from the duodenal bulb, five somatostatin cell tumours, mostly from the periampullary region of the duodenum, and two gangliocytic paragangliomas. Among 38 gastric tumours, five small cell ‘neuroen‐docrine’ carcinomas were separated from three gastrin cell tumours and 30 argyrophil carcinoids, 27 of which arose in the body fundus, 16 associated with chronic atrophic gastritis and four with combined Zollinger Ellison/Multiple Endocrine Neoplasia Syndrome.
Disjunctitermes insularis, a new soldierless termite genus and species (Isoptera, Termitidae, Apicotermitinae) from Guadeloupe and Peru

Abstract Disjunctitermes insularis gen. n. & sp. n. is described from workers collected on Guadeloupe and in Peru and is the first soldierless termite found on a deep-water island. As with many soldierless and soil-feeding termite species, the enteric valve morphology is an essential diagnostic character of D. insularis. The D. insularis sequence cluster, derived from a barcode analysis with twelve other described genera of New World Apicotermitinae, is well resolved. Results of a stochastic dynamic spread model suggest that the occurrence of D. insularis on Guadeloupe may be the result of a pre-Colombian overwater dispersal event from mainland South America.
Shaping of the Root Canal System: A Multistep Technique.

AIM The aim of this scientific work is to illustrate the technique of shaping the root canal system using the multistep technique. BACKGROUND Over time, various endodontic instrumentation techniques have been put forward, from the "step-back" technique (apical-coronal) to the "crown-down" technique (coronal-apical), the "double-flared" technique, and the most recent "single-length" technique. TECHNIQUE The multistep technique involves six steps, one of the main objectives of these being the safety of the use of mechanical instruments with a reduction in the risk that they fracture. This technique ("mixed") provides for the use of both manual instruments in stainless steel and mechanical instruments in nickel titanium (Ni-Ti). CONCLUSION The multistep technique is based on a standardized, flexible, and clinical protocol, which can provide for a reduction in the number of endodontic passages and instruments used and, therefore, a simplification of the operating procedure depending on both the difficulty of the root canals and the competence of the operator. CLINICAL SIGNIFICANCE This technique is a technique for shaping the endodontic space that allows the set objectives of endodontic therapy to be reached in a predictable way with a reduced risk of iatrogenic complications.
Telomere Elongation in the Breast Cancer Cell Line 21NT after Treatment with an Epigenetic Modifying Drug

Background: Telomere length dysregulation plays a major role in cancer development and aging. Telomeres are maintained by a group of specialized genes known as shelterin and shelterin-associated proteins. In breast cancer lines it has been shown that shelterin proteins are dysregulated thereby affecting the telomere stability and contributing to the neoplastic conversion of the mammary epithelial cells. Interestingly, the regulation of some of the shelterin genes is thought to be controlled epigenetically. Methods and Results: In this study, we set out to measure the effect of increased shelterin gene expression on telomere length in breast cancer cell line 21NT treated with 5-aza-2-deoxycytidine (5-aza-CdR) using known telomere length assays. We measured telomere lengths using: Telomere Restriction Fragment length (TRF), absolute quantitative-PCR and cytogenetic Interphase Quantitative Fluorescent in situ Hybridization (iQ-FISH). We found that non-cytotoxic levels of 5-aza-CdR affect telomere lengths by causing a significant and stable increase in telomere lengths of the breast cancer cell line. The increase in telomere lengths was consistently observed when various telomere length methods were used. Conclusions: Further investigation is required to understand the underlying mechanism involved, and the significance of telomere length elongation in relation to clinical outcome when epigenetic modifying drugs are utilized.
Consideration of input parameter uncertainties in load flow solution of three-phase unbalanced radial distribution system

In this paper, a technique based on interval arithmetic is presented for considering the uncertainties of the input parameters in the power flow solution of three-phase unbalanced radial distribution systems. The uncertainties in both the load demand and the feeder parameters have been considered. The results obtained from an interval arithmetic-based power flow solution have been compared with those obtained from repeated load flow simulations
Akt mediates the anti‐apoptotic effect of NMDA but not that induced by potassium depolarization in cultured cerebellar granule cells

Apoptosis of cultured cerebellar granule neurons (CGNs) deprived of serum is prevented by K+ depolarization or moderate concentrations of N‐methyl‐d‐aspartate (NMDA). Here, we have examined the role of the serine/threonine kinase Akt in these protective effects. The exposure of mouse CGNs to NMDA or K+ depolarization increased the phosphorylation of Akt, compared with that measured in cells incubated in a physiological K+ concentration. Only the NMDA‐evoked response was reduced by inhibitors of phosphatidylinositol 3‐kinase (wortmannin and LY294002) and mitogen‐activated protein kinase (PD98059 and U0126). Similarly, the capacity of NMDA to inhibit apoptosis of CGNs deprived of serum was greatly reduced by these inhibitors as well as by the transfection of neurons with a catalytically inactive mutant of Akt, whereas the protective effect of K+ depolarization remained unaffected. These findings indicate that K+ depolarization and NMDA activate Akt through different signalling pathways in CGNs. Moreover, Akt mediates the anti‐apoptotic effect of NMDA, but not that evoked by K+ depolarization.
Comparison of EM response in time and frequency domains

This paper is concerned with the use of time- and frequency-domain codes for computing the interaction of electromagnetic waves with simple and complex structures. An example chosen for this study is a cubic box with the top open. The Finite Difference Time Domain (FDTD) method is used for computing time-domain responses to an electromagnetic pulse (EMP), a Gaussian pulse, and a sine wave. Frequency-domain results are obtained by using a moment method solution of the electric field integral equation (EFIE). Comparison is then made, both in the frequency and time domains, on corresponding quantities using Fourier transforms. Effects of various factors - the shape of the incident waveform, discretization of the structure, and Fast Fourier Transformation - on the CPU time and the accuracy of the solution are demonstrated. Guidelines are established for obtaining an accurate response.
Minimal model analyses of insulin sensitivity and glucose‐dependent glucose disposal in black and white Americans: a study of persons at risk for type 2 diabetes

Abstract. We have examined the impact of race and positive family history of type 2 diabetes on glucose/insulin dynamics and the two components of glucose disposal in healthy, first‐degree relatives of black and white American patients with type 2 diabetes mellitus who are at a greater risk from the disease and their healthy control subjects. Seventeen black and 15 white relatives were studied. Twenty‐two black people and 24 white people, without family history of type 2 diabetes, served as healthy control subjects. Standard oral glucose tolerance test (OGTT) and tolbutamide‐modified frequent sampling intravenous glucose tolerance (FSIGT) tests were performed in each subject. Insulin sensitivity index (SI) and glucose effectiveness (SG) were calculated using the MINI‐MOD method described by Bergman et al. Mean fasting and post‐stimulation serum glucose levels were not significantly different in the black and white relatives. However, mean serum insulin responses to oral and/or intravenous stimulation were significantly greater in the blacks than whites, irrespective of positive family history of diabetes. The mean SI was significantly (P < 0·02) lower (52%) in the black (3·67±0·56) than the white [7·50±1·93 times 10‐4 min‐1 (mUl)‐1] relatives. Comparing the healthy controls, the mean SI was significantly (P < 0·02) lower (51%) in black than white controls (4·84±0·78 vs. 9·71±1·27 times 10min‐1(mUl)‐1]. Mean SG and KG were greater (P < ·05) in the blacks than whites, irrespective of family history of diabetes. In summary, the present study demonstrates that non‐diabetic black people manifest insulin resistant and hyperinsulinaemia, irrespective of family history of diabetes, when compared to white people. We speculate that these metabolic changes could play a potential role in the higher prevalence of type 2 diabetes in the black Americans.