Miracle-dz/UniFAR-FTUs huggingface dataset:
Practical challenges of particle filter based UWB localization in vehicular environments

In this paper, the challenges of Ultra Wide Band localization for key fob applications in vehicular environments are discussed. Trilateration based Kalman and particle filter approaches are discussed regarding their applicability to this task. A particle filter method is proposed which combines the benefit of enabling non-Gaussian observation error distribution and direct mapping of a particle cloud to a vehicle zone. The presented measurements show a strong sensitivity on the knowledge of line-of-sight or non-line-of-sight conditions. It is concluded that correct estimation of the channel condition is the key factor in improving the performance of the proposed method.
Examining asset pricing models in emerging markets: Evidence from Egypt

Assessing and measuring risk and determining the required rates of return are the hub of modern finance theory (Abdeldayem & Darwish, 2018). Sharpe (1964) described the risk-return relationship through the capital asset pricing model (CAPM) that is an unreliable model and a consensus on an alternative has not been reached yet (Brown & Walter, 2013). In addition, the CAPM is unable to sufficiently describe the cross-section variations in stock returns (Ray, Savin, & Tiwari, 2009; Abdeldayem, 2015). Fama-French three-factor Model is also criticized in the literature due to its lack of the underlying theoretical foundation. Beltratti and Tria (2002), Daniel and Titman (1997) point out that the high returns associated with small and high book-to-market ratio cannot be attributed to factor loadings. Hence, the expected returns relate to characteristics and do not relate to factor loadings. The asset pricing in emerging markets, and consequently in the Egyptian context remains a puzzle because of their unfamiliar risk-return patterns, for instance, many emerging markets show higher variability, higher serial correlation and informational inefficiency (Buckberg, 1995; Abdeldayem, 2015). As a result, the search for a superb asset pricing model is by far inconclusive issue. In order to tackle this issue, this study compares five asset pricing models using R to specify which one can describe and explain the variations in stock returns in the Egyptian stock market. The Egyptian stock exchange was originated in 1883 as one of the first stock markets worldwide and attracts many investors over the past few years. In 2005, it was acting as good as the peak stock markets in the world (Bassiouny & Ragab, 2014). It is also deemed as one of the best stock exchanges in Africa and in the MENA region (Omran, 2007; Abdeldayem & Assran, 2013; Abdeldayem & Mahmoud, 2013; Shaker & Elgizery, 2014 (A & B), Abdeldayem & Sedeek, 2018). Nevertheless, the academic focus on the Egyptian stock exchange is questionable in finance in general and in asset pricing theory in particular. This study has some contributions. First, to the authors’ knowledge, this is one of the inaugural studies that attempts to address the Fama-French three-factor model and its extensions in the Egyptian setting. Also, as far as we know, this is the first to implement the five-factor model (Fama-French threefactor Model plus liquidity and momentum) in an Abstract
Optimization of image reconstruction method for SPECT studies performed using [⁹⁹mTc-EDDA/HYNIC] octreotate in patients with neuroendocrine tumors.

BACKGROUND Somatostatin receptor scintigraphy (SRS) is a useful tool in the assessment of GEP-NET (gastroenteropancreatic neuroendocrine tumor) patients. The choice of appropriate settings of image reconstruction parameters is crucial in interpretation of these images. The aim of the study was to investigate how the GEP NET lesion signal to noise ratio (TCS/TCB) depends on different reconstruction settings for Flash 3D software (Siemens). METHODS SRS results of 76 randomly selected patients with confirmed GEP-NET were analyzed. For SPECT studies the data were acquired using standard clinical settings 3-4 h after the injection of 740 MBq 99mTc-[EDDA/HYNIC] octreotate. To obtain final images the OSEM 3D Flash reconstruction with different settings and FBP reconstruction were used. First, the TCS/TCB ratio in voxels was analyzed for different combinations of the number of subsets and the number of iterations of the OSEM 3D Flash reconstruction. Secondly, the same ratio was analyzed for different parameters of the Gaussian filter (with FWHM = 2-4 times greater from the pixel size). Also the influence of scatter correction on the TCS/TCB ratio was investigated. RESULTS With increasing number of subsets and iterations, the increase of TCS/TCB ratio was observed. With increasing settings of Gauss [FWHM coefficient] filter, the decrease of TCS/TCB ratio was reported. The use of scatter correction slightly decreases the values of this ratio. CONCLUSIONS OSEM algorithm provides a meaningfully better reconstruction of the SRS SPECT study as compared to the FBP technique. A high number of subsets improves image quality (images are smoother). Increasing number of iterations gives a better contrast and the shapes of lesions and organs are sharper. The choice of reconstruction parameters is a compromise between image qualitative appearance and its quantitative accuracy and should not be modified when comparing multiple studies of the same patient.
Anticonvulsants in Migraine Prophylaxis: A Cochrane Review

Several trials have asserted that some anticonvulsant drugs seem to be useful for the prophylaxis of migraine, but systematic reviews are sparse. We independently searched PubMed, EMBASE and the Cochrane Central Register of Controlled Trials until 2005, as well as Headache and Cephalalgia through April 2006, for prospective, controlled trials of anticonvulsant drugs. Data were calculated and pooled across studies and expressed as standardized mean differences, odds ratios and numbers-needed-to-treat. Anticonvulsants, considered as a class, reduce migraine frequency by about 1.3 attacks per 28 days compared with placebo, and more than double the number of patients for whom migraine frequency is reduced by ≥50% relative to placebo. Sodium valproate/divalproex sodium and topiramate were better than placebo, whereas acetazolamide, clonazepam, lamotrigine and vigabatrin were not; gabapentin, in particular, needs further evaluation. Trials designed with sufficient power to compare different drugs are also necessary.
Analyzing the international trade-related food miles in Iran

The aim of this article was to present a “snapshot” of Iran’s total import-related food miles and associated direct environmental costs in 1999 and 2013. Based on a customized model, the import-related “food miles” was calculated for 14 food groups. The methods used provide new insights to be obtained about how far agricultural products travel from their point of production to the main cities in Iran. We also calculated travel-related energy use and CO2 emissions based on different transport modes. Distance and agricultural products data were obtained from national and international sources. Produce arriving at the main cities in Iran were typically transported more than 15,456 km in 1999. In 2013, however, average food miles have fallen 47%, largely driven by indirect food imports. In terms of energy use, imported products accounted for 130,855 TJ of energy use in 1999; this was reduced by 10% in 2013. Moreover, these changes account for more than 10 and 9 Mt of food miles-related CO2 emissions in 1999 and 2013, respectively. There is an opportunity to re-legislate and revise policies regarding both imported and domestically grown food.
Emerging Technologies for Improved Stratification of Cancer Patients: A Review of Opportunities, Challenges, and Tools

AbstractCancer is a heterogeneous collection of diseases with wild variation in etiology, pathogenesis, response to therapy, and prognosis. Sources of variation are frequently obscure. Current practice attempts to classify tumors by tissue of origin and extent of disease through staging such that more risky tumors can be managed with more aggressive treatments. Modest inroads have been made with biomarkers to further characterize groups of tumors with important characteristics such as response to selected drugs. However, biomarker-driven decisions are relatively few when examining the maze of clinical decisions in the care of cancer patients. Against this backdrop, waves of researchers have unleashed a vast array of new technologies, with the goal of better characterization of the inherent diversity of tumors. This review outlines the use of cancer biomarkers and emerging technologies to stratify patients with a focus on the challenges and opportunities of next-generation nucleic acid sequencing approaches in oncology.
Lethal and sublethal effects of selected PPCPs on the freshwater rotifer, Plationus patulus

Pharmaceuticals and personal care products (PPCPs) have been reported in surface waters around the world. The continuous input of these pollutants into freshwaters and their potential effects on aquatic life are of increasing concern. The rotifer Plationus patulus, a basal member of riverine food webs, was used to test acute and chronic toxicity of 4 PPCPs (acetamidophenol, caffeine, fluoxetine, triclosan). A population from a remote site in Mexico (reference population) and one from an urbanized stretch of the Rio Grande were exposed. Acute toxicity tests show that both populations were more sensitive to fluoxetine. Chronic exposure to acetamidophenol (10 mg/L, 15 mg/L, and 20 mg/L) inhibited reference population growth, whereas Rio Grande population growth was inhibited only at 15 mg/L and 20 mg/L. Population growth was inhibited at 200 mg/L and 300 mg/L of caffeine for both populations. Chronic exposure to fluoxetine (0.020 mg/L) significantly inhibited population growth for the Rio Grande population only. Triclosan (0.05 mg/L, 0.075 mg/L, 0.10 mg/L) had the most deleterious effects, significantly reducing both populations' growth rates. Sublethal effects of chronic exposure to PPCPs included decreased egg production and increased egg detachment. A mixed exposure (6 PPCPs, environmentally relevant concentrations) did not affect population growth in either population. However, the continuous introduction of a broad suite of PPCPs to aquatic ecosystems still may present a risk to aquatic communities. Environ Toxicol Chem 2015;34:913–922. © 2014 SETAC
Early Linguistic Abilities of Italian Children With Williams Syndrome

Previous studies of linguistic and memory abilities in Italian-speaking children with Williams syndrome (WS) and Down syndrome (DS) are briefly reviewed. New data on linguistic performance of 6 Italian children with WS between 3 and 6 years of age are presented and compared with data on linguistic performance of 6 children with DS selected from a larger sample and matched for chronological age and vocabulary size and of 6 typically developing (TD) younger children matched for mental age and vocabulary size. The language measures also included a parent report of early phrase structure, a naming test, and a sentence repetition task. Analyses revealed that the 3 groups of children were at the same productive vocabulary level, but showed different patterns in sentence production and repetition. Children with WS produced more complete sentences, similar to TD children at the same vocabulary size, whereas children with DS produced more telegraphic and incomplete sentences. The difference between children with DS and those with WS was more marked on the repetition task, suggesting that phonological short-term memory may play a greater role when sentence production is measured through repetition. In addition, qualitative analysis of errors produced in the repetition test revealed interesting differences among the 3 groups. These results from younger children confirm and extend previous findings with older children and adolescents with WS. They further suggest that the apparently spared linguistic abilities of children with WS could emerge as an artifact of comparisons made to children with DS, whose sentence production competence is more compromised relative to other verbal and nonverbal abilities.
High efficiency three-temperature segment-CVD synthesis of multi-wall carbon nanotube forests

A high efficiency and well-controlled method to synthesize multi-wall carbon nanotube (MW-CNT) forests is reported. The three-temperature segment chemical vapor deposition (TTS CVD) system contains three individually operated heaters distributed along one quartz tube in CVD that provides controllable temperature gradient in quartz tube. The developed temperature gradient in TTS CVD significantly elongates lifetime of catalyst's actiity and further increase the growth efficiency using ethylene. By optimizing chemical compositions, catalyst film thickness, synthesis time, ethylene flow rate and temperature gradient, TTS CVD produced large scale and well-aligned MWNTs with height up to 2.3 millimeters in 45 minutes. The consumed ethylene was only one-fourth of regular dosages. The ultimate figure of merit is the specific CNT height that was defined as the grown CNT height divided by the product of the ethylene flow rate and the synthesis time. Our experimental results show the specific CNT growth height is 4 times of the published results. Most importantly, this technique sustained life time of catalyst's activity and revealed the possible mechanism for growth of ultra-long CNTs.
Mortality and morbidity of acute ST segment elevation myocardial infarction in the current era.

BACKGROUND The mortality rate of acute myocardial infarction has come down considerably in the past three decades. In view of paucity of literature on this issue, present study was done to find out the in-hospital mortality and 30-day event rate in patients with acute ST segment elevation myocardial infarction presenting to a tertiary care hospital in India. METHODS AND RESULTS Consecutive patients (n=1320) with the diagnosis of acute ST segment elevation myocardial infarction admitted in our institution were included in this study. The in-hospital mortality and 30-day event rates (mortality, reinfarction, recurrent angina and heart failure) were analyzed. The mean age of study population was 56+/-13 years. There were 1106 (83.8%) males and 214 (16.2%) females; 569 (43.1%) patients were smokers, 504 (38.2%) patients had hypertension, 531 (40.2%) patients were diabetic and 154 (11.7%) patients had past history of myocardial infarction. Anterior wall infarction was present in 752 (57%) patients, 517 (39.1%) patients had inferior wall infarction, 324 (62.7%) patients had associated right ventricular or posterior wall infarction and 51 (3.9%) patients had antero-inferior infarction; 1093 patients (82.8%) received thrombolytic therapy while 227 patients were not thrombolyzed due to various reasons. Of the total 1320 patients, 223 (16.9%) patients died during in-hospital stay while 1097 patients were discharged from the hospital in stable condition after a mean stay of 5.3+/-3.4 days. Thirty-day event rates of death, reinfarction and recurrent angina following hospital discharge was 18.8% (134/715 patients) and 36 (5%) patients presented with heart failure. CONCLUSIONS The in-hospital mortality rate of acute ST segment elevation myocardial infarction in a tertiary care hospital is 16.9%, which is higher compared to reports from the West.
Role of Mitogen-Activated Protein Kinases and NF-κB in the Regulation of Proinflammatory and Anti-Inflammatory Cytokines by Porphyromonas gingivalis Hemagglutinin B

ABSTRACT Hemagglutinin B (HagB) is a nonfimbrial adhesin expressed on the surface of Porphyromonas gingivalis and has been implicated as a potential virulence factor involved in mediating the attachment of the bacteria to host cells. However, the molecular mechanisms underlying host responses to HagB and their roles in pathogenesis have yet to be elucidated. Mitogen-activated protein kinases (MAPKs) are activated following engagement of a variety of cell surface receptors via dual tyrosine and threonine phosphorylation and are thought to be involved in various cellular responses. The purpose of this study was to determine the role of intracellular signaling pathways including the MAPKs and NF-κB in regulating the production of proinflammatory and anti-inflammatory cytokines following stimulation of murine macrophages with recombinant HagB (rHagB). Stimulation of peritoneal macrophages with rHagB resulted in the production of the proinflammatory cytokines interleukin-12p40 (IL-12p40), gamma interferon (IFN-γ), and tumor necrosis factor alpha, as well as the anti-inflammatory cytokine IL-10. We also demonstrated the activation of extracellular signal-related kinase (ERK), c-Jun NH2-terminal protein kinase (JNK), and p38 MAPKs by rHagB-stimulated macrophages. Furthermore, blocking of the ERK and p38 signaling pathways by using specific inhibitors revealed differential regulatory roles in the rHagB-mediated production of proinflammatory and anti-inflammatory cytokines. ERK and p38 were important in down-regulation of IL-12p40 and IFN-γ production and up-regulation of IL-10 production. The enhanced levels of IL-12p40 in rHagB-stimulated macrophages by inhibition of ERK or p38 activity were partially attributable to the inhibition of IL-10 production. Moreover, NF-κB was found to be critical for up-regulation of IL-12p40 and down-regulation of IL-10 production in rHagB-stimulated macrophages. Taken together, our results demonstrate a role for the p38 and ERK pathways and the transcription factor NF-κB in modulating key immunoregulatory cytokines involved in the development of immune responses to P. gingivalis HagB.
Understanding a Sequence of Sequences: Visual Exploration of Categorical States in Lake Sediment Cores

This design study focuses on the analysis of a time sequence of categorical sequences. Such data is relevant for the geoscientific research field of landscape and climate development. It results from microscopic analysis of lake sediment cores. The goal is to gain hypotheses about landscape evolution and climate conditions in the past. To this end, geoscientists identify which categorical sequences are similar in the sense that they indicate similar conditions. Categorical sequences are similar if they have similar meaning (semantic similarity) and appear in similar time periods (temporal similarity). For data sets with many different categorical sequences, the task to identify similar sequences becomes a challenge. Our contribution is a tailored visual analysis concept that effectively supports the analytical process. Our visual interface comprises coupled visualizations of semantics and temporal context for the exploration and assessment of the similarity of categorical sequences. Integrated automatic methods reduce the analytical effort substantially. They (1) extract unique sequences in the data and (2) rank sequences by a similarity measure during the search for similar sequences. We evaluated our concept by demonstrations of our prototype to a larger audience and hands-on analysis sessions for two different lakes. According to geoscientists, our approach fills an important methodological gap in the application domain.
Mining Interesting Trivia for Entities from Wikipedia

Trivia is any fact about an entity, which is interesting due to any of the following characteristics - unusualness, uniqueness, unexpectedness or weirdness. Such interesting facts are provided in 'Did You Know? ' section at many places. Although trivia are facts of little importance to be known, but we have presented their usage in user engagement purpose. Such fun facts generally spark intrigue and draws user to engage more with the entity, thereby promoting repeated engagement. The thesis has cited some case studies, which show the significant impact of using trivia for increasing user engagement or for wide publicity of the product/service. In this thesis, we propose a novel approach for mining entity trivia from their Wikipedia pages. Given an entity, our system extracts relevant sentences from its Wikipedia page and produces a list of sentences ranked based on their interestingness as trivia. At the heart of our system lies an interestingness ranker which learns the notion of interestingness, through a rich set of domain-independent linguistic and entity based features. Our ranking model is trained by leveraging existing user-generated trivia data available on the Web instead of creating new labeled data for movie domain. For other domains like sports, celebrities, countries etc. labeled data would have to be created as described in thesis. We evaluated our system on movies domain and celebrity domain, and observed that the system performs significantly better than the defined baselines. A thorough qualitative analysis of the results revealed that our engineered rich set of features indeed help in surfacing interesting trivia in the top ranks.
Identification of Medically Important Molds by an Oligonucleotide Array

ABSTRACT Infections caused by fungi have increased in recent years. Accurate and rapid identification of fungal pathogens is important for appropriate treatment with antifungal agents. On the basis of the internal transcribed spacer 1 (ITS 1) and ITS 2 sequences of the rRNA genes, an oligonucleotide array was developed to identify 64 species (32 genera) of clinically important filamentous (or dimorphic) fungi. These 64 species included fungi causing superficial, cutaneous, subcutaneous, and invasive infections. The method consisted of PCR amplification of the ITS regions using a pair of universal primers, followed by hybridization of the digoxigenin-labeled PCR products to a panel of species- or group-specific oligonucleotides immobilized on a nylon membrane. Of 397 fungal strains (290 target and 107 nontarget strains) tested, the sensitivity and specificity of the array was 98.3% (285/290) and 98.1% (105/107), respectively. Misidentified strains were usually those belonging to the same genus of the target species or having partial homology with oligonucleotide probes on the membrane. The whole procedure can be finished within 24 h starting from isolated colonies; reproductive structures, which are essential for the conventional identification methods, are not needed. In conclusion, the present array is a powerful tool for identification of clinically important filamentous fungi and may have the potential to be continually extended by adding further oligonucleotides to the array without significantly increasing the cost or complexity.
Longitudinal quantitative MRI assessment of cortical damage in multiple sclerosis: A pilot study

Quantitative MRI (qMRI) allows assessing cortical pathology in multiple sclerosis (MS) on a microstructural level, where cortical damage has been shown to prolong T1‐relaxation time and increase proton density (PD) compared to controls. However, the evolution of these changes in MS over time has not been investigated so far. In this pilot study we used an advanced method for the longitudinal assessment of cortical tissue change in MS patients with qMRI in comparison to cortical atrophy, as derived from conventional MRI.