Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship Between Crossbite and Periodontal Status

Crossbite is one of the most common types of malocclusion. It is a potential cause of trauma from occlusion, and it can be a cofactor of periodontal diseases. However, research on the effects of crossbite on periodontium is still rare. This study aimed to analyze the relationship between crossbite and periodontal status. This cross-sectional study examined the dental records of 68 subjects with normal bite and 68 subjects with crossbite obtained from the Universitas Indonesia’s dental teaching hospital from 2010–2015. Data was statistically analyzed using the Mann-Whitney U test. There were no statistically significant differences (p>0.05) in the mean values for gingival recession, loss of attachment, and gingival bleeding between the normal bite group and the crossbite group. A statistically significant difference (p<0.05) between the two groups was found for the mean values of pocket depth. There is no correlation between crossbite and gingival recession, loss of attachment, and gingival bleeding; but, there is a correlation between crossbite and pocket depth. Clinical article (J Int Dent Med Res 2018; 11: (1), pp. 153-156)
Evaluation of left ventricular functions by conventional echocardiography and tissue Doppler imaging in children with rheumatic mitral regurgitation

Introduction: We aimed to evaluate left ventricular functions in children with mitral regurgitation (MR) who were followed up with the diagnosis rheumatic carditis, by using conventional echocardiography and tissue Doppler imaging (TDI) and compare the results with those of healthy control subjects. Methods: 30 patients who were followed up with the diagnosis of MR due to sequel of rheumatic carditis in our pediatric cardiology clinic and 30 healthy children aged between 5-15 years were included in the study. The patient group was categorized as mild-moderate MR (n=20), and severe MR (n=10). All echocardiographic and Doppler assessments were performed by a single expert pediatric cardiologist, who was blinded to the clinical and laboratory results of the study group. Results: LV end-diastolic diameters were significantly increased in patient with severe MR compared to controls (4.62±0.82cm, 3.92±0.39 cm; p=0.008). Also LV end-systolic diameters were found significantly increased in patient with severe MR compared to controls (2.81±0.51, 2.43±0.25, p=0.01). There was no statistically significant difference between groups in terms of LV ejection fraction and fractional shortening (p>0.05). Although peak early diastolic myocardial velocity obtained with TDI did not show significantly difference between the groups (p>0.05), peak atrial systolic velocity measured from the lateral and septal annulus were significantly increased in patients with severe MR when compared with controls and patients with mild--modarete MR (p<0.001, p=0.001; respectively). Discussion and Conclusion: In our study, LV systolic and diastolic functions obtained by conventional echocardiographic measurements, showed no significant difference between the controls and patients with MR. However, deterioration in subclinical LV systolic and diastolic function was detected by TDI the patient group with MR.
Developmental Cell Spotlight Tracing the Origins of Axolotl Limb Regeneration

Guillermo C. Rivera-Gonzalez1,2,3 and Samantha A. Morris1,2,3,* 1Department of Developmental Biology, Washington University School of Medicine in St Louis, St. Louis, MO, USA 2Department of Genetics, Washington University School of Medicine in St Louis, St. Louis, MO, USA 3Center of Regenerative Medicine, Washington University School of Medicine in St Louis, St. Louis, MO, USA *Correspondence: s.morris@wustl.edu https://doi.org/10.1016/j.devcel. 2018.11. 042
Concentrations and source regions of light absorbing impurities 1 in snow / ice in northern Pakistan and their impact on snow 2 albedo 3

Black carbon (BC), water-insoluble organic carbon (OC), and mineral dust are important particulate 13 impurities in snow and ice, which significantly reduce albedo and accelerate melting. Surface snow and ice samples 14 were collected from the Karakoram-Himalayan region of northern Pakistan during 2015 and 2016 in summer (six 15 glaciers), autumn (two glaciers), and winter (six mountain valleys). The average BC concentration overall was 2130 16 ± 1560 ngg in summer samples, 2883±3439 ngg in autumn samples, and 992 ± 883 ngg in winter samples. The 17 average water insoluble OC concentration overall was 1839 ± 1108 ngg in summer samples, 1423 ± 208 ngg in 18 autumn samples, and 1342 ± 672 ngg in winter samples. The overall concentration of BC, OC, and dust in aged 19 snow samples collected during the summer campaign was higher than the concentration in ice samples. The values 20 are relatively high compared to reports by others for the Himalayas and Tibetan Plateau. This is probably the result 21 of taking more representative samples at lower elevation where deposition is higher and the effects of ageing and 22 enrichment more marked. A reduction in snow albedo of 0.1–8.3% for fresh snow and 0.9–32.5% for aged snow was 23 calculated for selected solar zenith angles during day time using the Snow, Ice, and Aerosol Radiation (SNICAR) 24 model. Daily mean albedo was reduced by 0.07–12.0%. The calculated radiative forcing ranged from 0.16 to 43.45 25 Wm depending on snow type, solar zenith angle, and location. The potential source regions of the deposited 26 pollutants were identified using spatial variance in wind vector maps, emission inventories coupled with backward 27 air trajectories, and simple region tagged chemical transport modelling. Central, South, and West Asia were the 28 major sources of pollutants during the sampling months, with only a small contribution from East Asia. Analysis 29 based on the Weather Research and Forecasting (WRF-STEM) chemical transport model identified a significant 30 contribution (more than 70%) from South Asia at selected sites. Research into the presence and effect of pollutants 31 in the glaciated areas of Pakistan is economically significant because the surface water resources in the country 32 mainly depend on the rivers (the Indus and its tributaries) that flow from this glaciated area. 33 Atmos. Chem. Phys. Discuss. , https://doi.org/10.5194/acp-2017-667 Manuscript under review for journal Atmos. Chem. Phys. Discussion started: 28 August 2017 c © Author(s) 2017. CC BY 4.0 License.
A Observational Study of Clinical Features and Management of Pseudocyst of Pancreas

Background and Objectives: Pseudo pancreatic cyst is a common complication of pancreatitis. Accurate diagnosis and timely management is important. This study is to know the various etiological factors, relative frequency of occurrence of pseudo pancreatic cyst in relation to age and sex, establish accurate diagnosis by various investigations and to study various modes of management like conservative, percutaneous drainage and surgery. The different modes of treatment and their efficacy will be dealt in detail. This is necessary to know the better treatment of choice. It is a prospective study of 30 adult patients admitted in SMIMER Medical College, Surat, Gujarat, India from July 2010 to September 2018.All the Patients underwent definitive treatment. Data related to the objectives of the study was collected.
Title Heritable influences on amygdala and orbitofrontal cortex contribute to genetic variation in core dimensions of personality Permalink

While many studies have reported that individual differences in personality traits are genetically influenced, the neurobiological bases mediating these influences have not yet been well characterized. To advance understanding concerning the pathway from genetic variation to personality, here we examined whether measures of heritable variation in neuroanatomical size in candidate regions (amygdala and medial orbitofrontal cortex) were associated with heritable effects on personality. A sample of 486 middle-aged (mean = 55 years) male twins (complete MZ pairs = 120; complete DZ pairs = 84) underwent structural brain scans and also completed measures of two core domains of personality: positive and negative emotionality. After adjusting for estimated intracranial volume, significant phenotypic (rp) and genetic (rg) correlations were observed between left amygdala volume and positive emotionality (rp = .16, p < .01; rg = .23, p < . 05, respectively). In addition, after adjusting for mean cortical thickness, genetic and nonsharedenvironmental correlations (re) between left medial orbitofrontal cortex thickness and negative emotionality were also observed (rg = .34, p < .01; re = −.19, p < .05, respectively). These findings support a model positing that heritable bases of personality are, at least in part, mediated through Corresponding author. gary.lewis@york.ac. uk (G.J. Lewis). HHS Public Access Author manuscript Neuroimage. Author manuscript; available in PMC 2016 February 08. Published in final edited form as: Neuroimage. 2014 December ; 103: 309–315. doi:10.1016/j.neuroimage. 2014.09. 043. A uhor M anscript
Application of Benford ’ s Law in Analysis of DAX Percentage Changes

The application of Benford’s Law is very rarely covered in the field of stock market analysis, especially in percentage change of stock market indices. Deutscher Aktien IndeX (DAX) was chosen as an index of interest. As stated in [1], DAX measures the development of the 30 largest and best-performing companies on the German equities market and represents around 80% of the market capital authorized in Germany. DAX is a very important stock market index of Frankfurt Deutsche Börse which serves as underlying basis for a large number of financial instruments. It is calculated for 30 selected German blue chips stocks. In this paper Benford’s Law first digit test is applied on 10-years DAX daily percentage changes in order to check the compliance. Deviations of the 10-years DAX percentage changes set, as well as distortions of certain subsets from Benford’s Law distribution are detected. The possibility that the deviations are an outcome of speculations and psychological influence, should not be eliminated.
SimUse: Modeling Recreational Polydrug Use through an Agent-based Model

This on-going project aims to build an ontological model concerning recreational poly-drug use and to use an agent-based simulation, SimUse, to test and verify related public policies. We consider drug-use (and even more so poly-drug use) to be a complex adaptive system that needs to be studied via a methodology able to describe such a dynamic and complex social phenomenon. To contextualize the complexity of poly-drug use and highlight the necessity of a multidisciplinary approach to study this .
The influence of ICAM 1 rs 5498 on diabetes mellitus risk : evidence from a meta-analysis

Objectives Both type 1 diabetes (T1D) and type 2 diabetes (T2D) are classified as forms of diabetes mellitus (DM) and commonly considered inflammatory process. Intercellular adhesion molecule-1 (ICAM-1) is involved in the development and progression of diabetes mellitus. However, the genetic association between ICAM-1 rs5498, and T1D and T2D risk was inconclusive. Materials and methods A meta-analysis by searching the PubMed, Embase, Cochrane Library, and Chinese National Knowledge Infrastructure (CNKI) databases was performed out. The pooled odds ratio (OR) and 95% confidence interval (CI) were used to describe the strength of association of T1D and T2D risk. Results A total of 14 studies encompassing 3233 cases and 2884 controls were included in the present meta-analysis. Significant associations were found between the allele and recessive models of ICAM1 rs5498 and DM in Asian population (allele: OR 1.13; 95% CI 1.03–1.23, p = 0.008; recessive: OR 1.25; 95% CI 1.06–1.48, p = 0.008), but not in Caucasian population (p > 0.05). In addition, the allele model of rs5498 was found to be significantly associated with the increased risk of T2D (OR 1.10; 95% CI 1.01–1.21, p = 0.03), but not T1D (p > 0.05). Conclusions The ICAM1 rs5498 might be a susceptible factor for T2D, but not T1D. And the allele and recessive models of ICAM1 rs5498 might be a risk factor in Asian population.
Comprehension of stories after dialogic reading with questions based on narrative thematic dimensions 1

We investigated the effects of dialogic reading – reading aloud interspersed with questions and feedback based on narrative thematic dimensions (functions) – on the comprehension of brother Grimm’s tales. Twenty-two tales were read individually to three children (aged 8, 8 and 13 years), in a baseline condition (Straight reading) and intervention (Dialogic reading), using multiple baseline design across participants. Comprehension was assessed through percentage of story events and narrative functions verbalized during retelling tasks. Correspondence between tales and retelling was higher under the Dialogic Reading condition, especially for narrative functions. The role of questions, differential reinforcement and text are discussed.
An H 2 A histone isotype regulates estrogen receptor target genes by mediating enhancer-promoter-3 0-UTR interactions in breast cancer cells

A replication-dependent histone H2A isotype, H2ac, is upregulated in MCF-7 cells and in estrogen receptor-positive clinical breast cancer tissues. Cellular depletion of this H2A isotype leads to defective estrogen signaling, loss of cell proliferation and cell cycle arrest at G0/G1 phase. H2ac mediates regulation of estrogen receptor target genes, particularly BCL2 and c-MYC, by recruiting estrogen receptor alpha through its HAR domain and facilitating the formation of a chromatin loop between the promoter, enhancer and 30-untranslated region of the respective genes. These findings reveal a new role for histone isotypes in the regulation of gene expression in cancer cells, and suggest that these molecules may be targeted for anti-cancer drug discovery.
The study of adverse drug reactions ( ADRS ) of antiretroviral therapy ( ART ) on HIV infected persons ( PLHIV ) at our Art Centre , Jodhpur , Rajasthan

Antiretroviral drugs are successful in controlling HIV/AIDS and reducing disease progression. Antiretroviral regimens are stopped in up to 25% of all patients during their initial treatment therapy as a result of adverse drug effects, failing treatment and non adherence within the initial eight months of treatment. A pharmacovigilance surveillance system makes it possible for physicians, pharmacists and other healthcare providers to report suspected ADRs. The objective of this study was to assess the prevalence and severity of Adverse Drug Reactions (ADRs) among HIV/AIDS patients at ART centre, Jodhpur. In our study, 595 patients were included for study of ADRs of the ART for period of one year. These patients were interviewed and examined in each follow-up visits for ART related problems or Opportunistic Infections (OIs). Of the 595 patients, only 120 patients were developed total 188 ADRs. In this study, adverse drug reactions were observed to be present more in males as compared to females and majority of the patients were in the age group of 31-45 years. Incidence of ADRs was 20.16% (120/595). Most commonly encountered side effects were hematological (26.59%), gastrointestinal (20.74%), cutaneous (18.61%), neurological (8.51%) and musculoskeletal (7.97%). Causality assessment by Naranjo’s scale, most of ADRs was ‘possible’ (62.76%). Severity assessment showed that most of the reported ADRs 11.6% were mild and 85.2% were moderate in nature while 4.2% was life threatening. This concluded that earlier ART initiation, before the development of a low CD4 cell count and opportunistic infection, may reduce the incidence of adverse effects.
A Systematic Review on Customer Profiles ( Stayers & Switchers ) : A Critical Future Research Agenda

The main objective of this study was to examine the previous and contemporary literature available on customer profiles (Stayers & Switchers Domain), to identify the most critical issues, challenges and limitations. Moreover, to suggests the future direction for conducting the research in these areas. Literature for the current paper was reviewed and analyzed by following the systematic review process. Selected studies for literature review were examined by thoroughly studying and evaluating the Knowledge, Problems, Findings, Research approaches, and Contexts presented in these studies. However, from the review of exhaustive literature, dearth of studies found in the most customer churning intensive industry like telecommunication, that represents the significant gap. Therefore, it is strongly suggested to conduct the empirically studies in telecommunication sector to examine the differences in the perceptions of Stayers and Switched-in Users with respects to the various antecedents of customer satisfaction and loyalty. Lastly, Finding of this study is detailed with theoretical, contextual and methodological gaps. Journal of Marketing Management and Consumer Behavior ARTICLE INFO Article History Submitted 06 Nov 2017 Accepted 19 Dec 2017 Available online 22 Dec 2017 JEL Classification M31
a 1 ′ s ොy 1 Pointer Network Decoder a 1 ′ a 2 ′ a n ′ s ොy n − 1 ොy 2 ~ a 2 ′ ොy

Modeling the structure of coherent texts is a key NLP problem. The task of coherently organizing a given set of sentences has been commonly used to build and evaluate models that understand such structure. We propose an end-to-end unsupervised deep learning approach based on the set-to-sequence framework to address this problem. Our model strongly outperforms prior methods in the order discrimination task and a novel task of ordering abstracts from scientific articles. Furthermore, our work shows that useful text representations can be obtained by learning to order sentences. Visualizing the learned sentence representations shows that the model captures high-level logical structure in paragraphs. Our representations perform comparably to state-of-the-art pre-training methods on sentence similarity and paraphrase detection tasks.
Explorer Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis

This paper describes a speaker-adaptive HMMbased speech synthesis system. The new system, called “HTS2007”, employs speaker adaptation (CSMAPLR+MAP), featurespace adaptive training, mixed-gender modeling, and fullcovariance modeling using CSMAPLR transforms, in addition to several other techniques that have proved effective in our previous systems. Subjective evaluation results show that the new system generates significantly better quality synthetic speech than speaker-dependent approaches with realistic amounts of speech data, and that it bears comparison with speaker-dependent approaches even when large amounts of speech data are available. In addition, a comparison study with several speech synthesis techniques shows the new system is very robust: It is able to build voices from less-than-ideal speech data and synthesize goodquality speech even for out-of-domain sentences.
To the Graduate Council:

Peripheral Nerve Injury is one of the most common and serious traumatic injuries. About 300,000 cases of peripheral nerve injury are reported annually in Europe and another 50,000 procedures performed annually in the United States. Peripheral nerve injury can lead to lifelong disability and also death in severe cases. Repair techniques remain a major challenge because of lack of efficient regeneration. Though techniques like autografts are highly efficient, they face a lot of drawbacks. Alternate methods focus on the use of growth supporting and enhancement components in nerve guidance channels. Current research necessitates the use of a combination of compounds for enhanced nerve growth. In this thesis we study the combined effect of Nerve Growth Factor (NGF), laminin and Retinoic acid (RA) on nerve growth. This study is aimed at attaining higher efficiency in nerve growth by using a combination of compounds not tested together before. We expect to see an enhanced outgrowth, supposedly caused by the synergistic effect of these components, which will be greater than the outgrowth caused when these compounds are used individually or in combination with another compound. Chick dorsal root ganglion cells were cultured for 36 hrs in the presence of 50ng/ml NGF, 50μg/ml laminin and 1μM RA, either used individually, or in combination with another compound, or synergistically. The efficiency of each condition was determined based on neurite extension and area of outgrowth. The triple component system produced significantly greater neurite extension and outgrowth compared to all when the compounds are used individually or in combination with one another. The neurite length in the triple component system was 5 fold that of control whereas the area of outgrowth was as high as 60 times that of control. This enhanced neurite growth achieved will pave way for efficient nerve guidance channels development.
Out-of-distribution detection for computational pathology with multi-head ensembles

Distribution shift is a common phenomenon in real-life safety-critical situations that is detrimental to the performance of current deep learning models. Constructing a principled method to detect such a shift is critical to building safe and predictable automated image analysis pipelines for medical imaging. In this work, we interpret the problem of out-of-distribution detection for computational pathology in an epistemic uncertainty estimation setting. Given the di culty of obtaining a su ciently multi-modal predictive distribution for uncertainty estimation, we present a multiple heads topology in CNNs as a highly diverse ensembling method. We empirically prove that the method exhibits greater representational diversity than various popular ensembling methods, such as MC dropout and Deep Ensembles. The fast gradient sign method is repurposed and we show that it separates the softmax scores of in-distribution samples and out-of-distribution samples. We identify the challenges for this task in the domain of computational pathology and extensively demonstrate the e↵ectiveness of the proposed method on two clinically relevant tasks in this field.
Modeling the Effect of Web Advertising Visual Design on Online Purchase Intention : An Examination across Genders

With web advertising growing to be a huge industry, it is important to understand the effectiveness of web advertisement. In this study we investigate the effects of web advertising visual design (WAVD) purchasing intention within the framework of an integrated model. Nine hypotheses were developed and tested on a dataset of 316 observations collected via a questionnaire survey. The results of structural equation modeling (SEM) indicate that while web advertising visual cues influence consumers’ purchasing intention through advertising attitudes and brand attitudes, they do not have direct effects on purchasing intention. Further results on the moderating role of gender suggest that web advertising visual cues have direct effect on consumers’ purchasing intention for male groups but not for female groups. This study contributes to the understanding the role of visual dimensions in forming online purchase intentions.