Miracle-dz/UniFAR-FTUs huggingface dataset:
Gingival Thickness Assessment: Visual versus Direct Measurement

Background and Aim: Several methods have been suggested to measure gingival thickness. This study aimed to assess the reliability of visual assessment of facial gingival biotype of maxillary and mandibular teeth with or without using a periodontal probe in comparison with direct measurement. Materials and Methods: Sixty-seven healthy patients (25 women and 42 men) with a total of 100 hopeless teeth were selected for this study. Three methods were used to evaluate gingival thickness namely visual assessment, visual assessment with the use of periodontal probe and direct measurement using a caliper after extracting the hopeless tooth. One trained examiner performed all examinations. Patient demographics, tooth position, and the results of three assessments were recorded. The mean and standard deviation of gingival thickness were calculated. The three methods were compared using the chi-square test. Results: The accuracy of visual assessment method for the “thin biotype” was 96.7% [positive predictive value (PPV)=96.7%], while it was 10.3% for “thick biotype” [negative predictive value (NPV)=10.3%]. The accuracy of visual assessment with the use of periodontal probe for the thin biotype was 100% (PPV=100%), while it was 17.1% for the thick biotype (NPV=17.1%). The results of visual assessment method alone and with the use of periodontal probe were incorrect in 37% and 29% of the cases, respectively and this difference was significant (P<0.01). Conclusion: Gingival biotype identification by assessment with the use of periodontal probe is an adequately reliable method while visual assessment of gingival biotype by itself is not sufficient for proper diagnosis.
Clinical and cytogenetic correlation in primary and secondary amenorrhea : retrospective study on 531 patients

Primary amenorrhea (PA, absence of menarche) and se condary amenorrhea (SA, the cessation of menstruation in women who were previously menstruating ), have many causes including hypothalamic and pitu itary disorders, gonadal dysgenesis and utero-vaginal mal formations. We performed a retrospective study, wit h the purpose of establishing the frequency and the type of chromosomal abnormalities, in 531 patients with PA and SA who were clinically and cytogenetically evaluate d (1985-2009) in Ia şi Medical Genetics Center.Primary amenorrhea (PA) was identified in 493 (92.84%) pati ents. X chromatin test, used as a screening test, w as abnormal in 201 cases (40.8%) and normal in 292 cases (5 9.2%). The karyotype was normal in 224 cases (45.43 %) and abnormal in 269 (54.56%) patients; the most fre quent abnormality detected was X chromosome monosom y, homogeneous (137 cases – 27.78%) or mosaic (80 case s – 16.22%). Other 22 cases (4.46%) had X chromosom e structural unbalanced abnormalities (homogeneous or in mosaic). One particular group, represented by 2 3 patients with PA, had a Y chromosome cell line and th e final diagnosis was: pure gonadal dysgenesis (8 c ases), CAIS (6 cases), mixed gonadal dysgenesis (4 cases) nd true hermaphroditism (5 cases). Other 7 patient s presented X trisomy (4 cases) and structural chromo somal abnormalities (3 cases). Secondary amenorrhea (SA) was identified in 38 (7.15%) patients. The X chroma tin test and karyotype was normal in 31 of cases (8 1.57%) and abnormal in 7 cases (18.42%) having X monosomy mosaics. Our results were similar with other report ed studies and attest the importance of cytogenetic in vestigations in the etiologic diagnosis of amenorrh ea.
SUITABILITY OF IPOMOEA AQUATICA FOR THE TREATMENT OF EFFLUENT FROM PALM OIL MILL

The phytoremediation technology has been used in industrial effluent treatment such as palm oil mill effluent (POME) as the recent technology since the last two decades with the great potential and as a sustainability approach technology. However, the phytoremediation usually used as polishing treatment due to high organics and suspended solid concentration of the raw POME. The treatments previously run using various species of floating aquatic plants such as water hyacinth, water lettuce, and duckweed. In this research, another species of aquatic plant were used which is water spinach (Ipomoea aquatica) in the bucket treatment using different sources of POME, which from aerobic and anaerobic pond POME. The potential of I.aquatica evaluated in term of percentage removal and first order removal rate constant (k) of chemical oxygen demand (COD), nutrients concentration (ammonia, nitrate, total phosphorus) and the total suspended solid (TSS). The result shows the I.aquatica are able to increase the plant height from 28cm to 38 cm in the aerobic POME samples with 80% of COD, 90% of TSS and 99% of nutrients removal at the end of 25 days of treatment. While the I.aquatica in the anaerobic POME, were unable to survive where the plant started to wilting and completely death after 5 days of treatment I.aquatica plants were shown their potential of the POME treatment with best prospective especially as a polishing treatment for industrial effluent. Keyword: Phytoremediation, Palm oil mill effluent (POME), Ipomoea Aquatica
A NOVEL DESIGN OF GRAY CODE CONVERTER WITH QUANTUM DOT CELLULAR AUTOMATA

Quantum-Dot Cellular Automata (QCA) is a radical nanotechnology, which works at nanoscale. QCA proposed by Lent et al.is an emerging technology that offers an innovative approach for computing at nano-scale by monitoring the position of a single electron. This technology allows the implementation of logic devices using quantum dots instead of transistors, diodes. QCA technology has large potential in terms of high space density and power, possible to achieve miniaturization of circuits and high speed processing. The paper provides an efficient design and layout of code converters based on quantum-dot cellular automata using QCADesigner tool. In this paper a number of new results on binary to gray code converters and detailed simulations. In this paper, an optimal design of gray code converter is presented. A new approach has been devised to implement efficient digital logic gates using the proposed gray code converter. To verify the functionality of the proposed structures some Boolean proofs are performed. A detailed comparison, structural evaluation of the proposed design with recently robust designs is analyzed. This evaluates the performance of the proposed gray code converter in terms of cell count, area clock delays as compared to traditional approaches. The proposed productive design layouts did not utilize any coplanar or multi-layer wire crossover. The usefulness of exhibited designs has been performed in QCADesigner form 2.0. 3 tool
Self-concept, maternal attachment and religiosity as predictors of sexual debut among school-going adolescents in Oyo State, Nigeria

This study investigated the joint and relative contributions of self-concepts, maternal attachment and religiosity to the prediction of adolescents’ sexual debut. A descriptive survey design through correlational approach was employed. Four hundred and ninety six adolescents from selected secondary schools in Ogbomoso and Oyo areas of Oyo State were randomly selected through a purposive random sampling technique. Four psychological instruments were employed for the study: Self Concept Clarity Scale (α = .83) Inventory of Parents and Peers Attachment (α = .92); Religiosity Measure (α -.84), and Sexual Behaviour Experience Questionnaire (α=.78). Multiple Regression statistics was employed for analysis of the data generated. The outcomes of the study revealed that the three independent variables jointly accounted for about 50% of the total variance in sexual debut. (F(3,495) = 162.95; P < . 001). The study further revealed that religiosity (β = -.884; t = -10.828, P < 0.01) is the most potent determinant of sexual debut, followed by maternal attachment (β = -.220; t = -8.461 P < 0.01) and self concept (β = -.225, t – 6.997, P < 0.01) in that order. The outcomes of the study were discussed and it was recommended among others that moral education through religious bodies should be given a chance in Nigerian schools for curtailing some of the undesirable behaviours among youths.
Cloning and expression of endo-1 , 4 – β-glucanase gene from Bacillus licheniformis ATCC 14580 into Escherichia coli BL 21 ( DE 3 )

An endo-1,4-β-glucanase gene from moderate thermophilic strain Bacillus licheniformis ATCC 14580 was cloned into Escherichia coli DH5α using pTZ57R/T as cloning vector. After confirmation of clone through polymerase chain reaction (PCR) and restriction analysis, endoglucanase gene (1.5 kb) was further expressed in E. coli BL21 (DE 3) using pET-22b (+) expression vector. The molecular weight of endoglucanase gene was found to be 52.2 kDa as determined by sodium dodecylsulphate polyacrylamide gel electrophoresis (SDS-PAGE). The addition of isopropyl-β-D-thio-galactoside (IPTG) as an inducer in the fermentation medium, caused an increase in expression of recombinant endoglucanase. The activity of enzyme in optimized condition was found to be 1.5 U/ml using carboxymethylcellulose as substrate. The optimum pH and the temperature of enzyme were also determined and found to be 6.0 and 60°C, respectively.
The Biology , Fisheries , and Management of the Queen Conch , Strombus gigas

The queen conch, Strombus gigas (Fig. 1), a large marine snail, has been a principal source of food for the inhabitants of Caribbean coasts and islands since the first American Indians settled there long ago. Today it remains an important source of protein in the region, while imports by the United States have grown. However, stock depletion is now occurring in many areas due to overfishing. This particular conch is one of six species of the family Strombidae found in the Caribbean and Florida, and is by far the region's most important mollusk. Queen conchs are heavily fished throughout most of their range from Bermuda and southern Florida, all around the Caribbean, south to Cayenne (Fig. 2). Besides conch (pronounced "konk"), they are also known as botuto (Venezuela), cambombia (Panama), carrucho (Puerto Rico), cobo (Cuba), guarura (Los Roques), lambie (Windward Islands), and lambi (Hispaniola). They are also frequently called "pink conch. " In some places, such as the Caicos Bank, conchs with thick, stubby shells and leathery black skin are found. These are called "samba" or "sanga"
First-principles study of spin-wave dispersion in Sm ( Fe 1 − x Co x ) 12

We present spin-wave dispersion in Sm(Fe1−xCox)12 calculated based on firstprinciples. Anisotropy in the lowest branch of the spin-wave dispersion around the Γ point is discussed. Spin-waves propagate more easily along a∗-axis than along c∗-axis, especially in SmFe12. We also compare values of the spin-wave stiffness with those obtained from an experiment. The calculated values are in good agreement with the experimental values.
Image Refined Disparity Our novel view Iterate Synthesized Light Field Novel view from Didyk

We present a novel phase-based approach for reconstructing 4D light field from a micro-baseline stereo (LfS) pair. Our approach takes advantage of the unique property of complex steerable pyramid filters in micro-baseline stereo. We first introduce a disparity assisted phase based synthesis (DAPS) strategy that can integrate disparity information into the phase term of a reference image to warp it to its close neighbor views. Based on the DAPS, an “analysis by synthesis” approach is proposed to warp from one of the input binocular images to the other, and iteratively optimize the disparity map to minimize the phase differences between the warped one and the ground truth input. Finally, the densely and regularly spaced, high quality light field images can be reconstructed using the proposed DAPS according to the refined disparity map. Our approach also solves the problems of disparity inconsistency and ringing artifact in available phase-based view synthesis methods. Experimental results demonstrate that our approach substantially improves both the quality of disparity map and light field, compared with the state-of-the-art stereo matching and image based rendering approaches.
Wang, Enhao and Xiao, Qing and Incecik, Atilla (2017) Three-dimensional numerical simulation of two-degree-of-freedom VIV of a circular cylinder

The two-degree-of-freedom (2DOF) vortex-induced vibration (VIV) of a circular cylinder with varying in-line to cross-flow natural frequency ratios (f ∗ = fnx/fny) is studied using a three-dimensional (3D) computational fluid dynamics (CFD) approach. Numerical simulation is carried out for a constantmass ratio of 2 at a fixedReynolds number Re = 500. The reduced velocity ranges from 2 to 12. Three natural frequency ratios are considered, i.e., f ∗ = 1, 1.5 and 2. The structural damping is set to zero tomaximise the response of the cylinder. The main objective of this study is to investigate the effect of f ∗ on the 2DOF VIV responses and the 3D characteristics of the flow. It is discovered that there is a significant increase in the vibration amplitude, and the peak amplitude shifts to a higher reduced velocity when f ∗ increases from 1 to 2. A single-peak cross-flow response is observed for the identical in-line and cross-flow mass ratios when f ∗ = 2. Dual resonance is found to exist over the range of f ∗ studied. The preferable trajectories of the cylinder in the lockin range are counterclockwise figure-eight orbits. Oblique figure-eight trajectories appear at Vr = 6, 7 and 8 when f ∗ = 1. The third harmonic component which is observed in the lift fluctuation increases with f . The correlation decreases in the lock-in range and reaches itsminimumvalue around the transition region between the lock-in and post-lockin ranges. Three vortex sheddingmodes (2S, P+ S and 2P) appear in the present simulation. A dominant P + S mode is associated with the oblique figure-eight trajectories. Variation of vortex shedding flows along the cylinder is observed leading to the poor correlation of the sectional lift forces. © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Exploring Dimensions of Pain Management Messages: Person-Centeredness, Empowerment & Perceived Pain Management Outcomes Presented in Partial Fulfillment of the Requirements for the Degree Master of Arts in the Graduate School of The Ohio State University By

ii Vita . iii List of Tables . v Chapter 1: Introduction.1 Chapter 2: Literature Review.6 Chapter 3: Method . 53 Chapter 4: Results . 60 Chapter 5:Discussion . 74 References . 82 Appendix A: Situations & Messages . 89
Segmentation Method of Skin MRI High Resolution in vivo

: Background: Recently, Magnetic Resonance Imaging (MRI) has been used in clinical application as non-invasive medical modality; it is rarely used to study the anatomy physiological, and biochemical of the skin, in spite of its very attractive modality for skin imaging. It makes an ideal imaging modality of unique soft tissue contrast to study the skin anatomy and to observe the different skin’s layers. However, MRI provides a big data with high quality. The analysis of these data requires computerized methods to help clinicians and to improve diagnosis. Several image processing methods have been used by doctors to facilitate qualitative diagnosis, segmentation is one of these methods used in clinical applications in order to understand medical data and extract useful information. This study aims to use the segmentation method in order to observe the anatomy of skin layers before and after applying moisturizer. Methods: We will classify segmentation approaches for MRI data into three basics classes: Edge based segmentation; Region based segmentation, and Thresholding segmentation. Then we will briefly describe Fuzzy C-means Clustering method, which is used to segment our MR data represented by a sample of thirty-five (35) healthy. Results: We have observed the skin’s layers before and after applying moisturizer topic of the feet as a result of the FCM segmentation method. Our study showed that FCM is an efficient Algorithm used for medical images, because of its fuzzy nature; also it gives images segmentation results with different classes of skin layers before and after the application of moisturizer topic. Conclusion: MRI is an attractive modality to study the human skin; it makes an ideal observation of the different skin layers in vivo. However, the segmentation of MRI data by FCM clustering is a computerized method to help clinicians in order to study the skin anatomy.
BOON-YEE TAN AND W.N.W AZMAN-SAINI*

This paper investigates the relationship between foreign direct investment (FDI) and domestic research and development (R&D) activity, conditional on product market competition. The generalized Method of Moments (GMM) panel estimator is used to analyze the relationship using a sample of 61 countries over the 2000-2011 periods. The result reveals that FDI has little direct effect on R&D expenditure, but its effect manifests negatively conditional on competition. The finding contradicts with conventional wisdom regarding merits of competition as our evidence shows that competition undermines the effect of FDI on domestic R&D. JEL Classification : F62, F21, L51, O32
Strength Characterization of Soft Marine Deposits off East Africa Using the CPT-Stinger Method

ABSTRACT: The CPT-Stinger was recently developed for in-situ investigation of very soft marine soils. This tool is a deep-water, piezocone penetrometer testing (PCPT) system that is dynamically inserted into the seabed using conventional Jumbo Piston Coring (JPC) deployment techniques. A series of nineteen CPT-Stinger tests were performed in the vicinity of a new gas field development located off east Africa (EA) in water depths ranging from 1395 m to 1575 m. Soils in the study area are characterized by high liquid limits and carbonate content in excess of 20%. This paper discusses the evaluation of undrained shear strength (Su) profiles derived from the cone tip resistance (q ) and measured excess pore-pressure (u ) by means of the cone factors and ∆ . Cone factors were determined by comparing CPT-Stinger results with undrained shear strengths obtained from miniature vane (MV) tests performed on undisturbed JPC samples collected at nearby locations. An average value of 28, with a range of 18 to 37, fits the EA soils. These high values are possibly due to inaccuracies in the method used to calibrate the Stinger cone tip readings within the “dynamic” interval. It is shown that the pore pressure method using ∆ gives a closer prediction of the undrained shear strength of EA clay compared to that using . Over-consolidation Ratio (OCR) profiles were also developed with data collected from this tool. Results compare very well with OCR data obtained from conventional Constant Rate of Strain (CRS) tests performed on high quality samples. Shear strength profiles based on SHANSEP concepts were also determined and compared with those determined by means of cone factors and ∆ . The findings confirm that a high degree of reliance can be given to pore-pressure measurements for estimating S for offshore testing. Comparisons also demonstrate that the CPT-Stinger is a reliable tool that can be used for site investigation of very soft deep water marine soils.
Facial Expression Recognition : Towards Meaningful Prior Knowledge in Deep Neural Networks

Facial expressions by definition are associated with how emotions are expressed. This makes facial expression an interdisciplinary domain transversal to behavioral science, neurology and artificial intelligence. Facial expression is documented as the most informative mean of communication for humans, reason why computer vision applications such as natural human computer interaction or sign language recognition need an efficient facial expression recognition system. Facial expression recognition methods (FER) have been deeply studied and these methods have impressive performances on the detection of discrete emotions. However, these approaches only have remarkable efficiency in controlled environments, i.e., environments where illumination and pose are monitored. An integration of FER systems in computer vision applications need to be efficient in real world scenarios. However, current state-of-the-art methods do not reach accurate expression recognition in such environments. Deep convolutional neural networks have been widely used in several computer vision tasks involving object recognition. Recently, deep learning methods have also been applied to facial expression recognition. Nonetheless, these methods have not reached their full potential in the FER task as training high capacity models in small datasets, such as the ones available in the FER field, usually result in overfitting. In this regard, further research of novel deep learning models and training strategies has crucial significance. In this dissertation, a novel neural network that integrates different sources of domain knowledge is proposed. The proposed method integrates knowledge transfered from pre-trained networks on similar recognition tasks with prior knowledge of facial expression. The prior knowledge integration is achieved by the means of a regression map with meaningful spatial features for the model. Further experiments and studies were performed to assess whether refined regressed maps of facial landmarks can lead to better performances and whether transfered features from other networks can lead to better results. The proposed method outperforms the implemented state of the art methods and shows the ability to learn expression-specific features. Besides, the network is simpler and requires less computational resources. Thus, it is demonstrated that an effective use of prior knowledge can lead to more efficient models in tasks where large datasets are not available.
GRIMOIRE: Synthesizing Structure while Fuzzing

In the past few years, fuzzing has received significant attention from the research community. However, most of this attention was directed towards programs without a dedicated parsing stage. In such cases, fuzzers which leverage the input structure of a program can achieve a significantly higher code coverage compared to traditional fuzzing approaches. This advancement in coverage is achieved by applying large-scale mutations in the application’s input space. However, this improvement comes at the cost of requiring expert domain knowledge, as these fuzzers depend on structure input specifications (e. g., grammars). Grammar inference, a technique which can automatically generate such grammars for a given program, can be used to address this shortcoming. Such techniques usually infer a program’s grammar in a pre-processing step and can miss important structures that are uncovered only later during normal fuzzing. In this paper, we present the design and implementation of GRIMOIRE, a fully automated coverage-guided fuzzer which works without any form of human interaction or preconfiguration; yet, it is still able to efficiently test programs that expect highly structured inputs. We achieve this by performing large-scale mutations in the program input space using grammar-like combinations to synthesize new highly structured inputs without any pre-processing step. Our evaluation shows that GRIMOIRE outperforms other coverageguided fuzzers when fuzzing programs with highly structured inputs. Furthermore, it improves upon existing grammarbased coverage-guided fuzzers. Using GRIMOIRE, we identified 19 distinct memory corruption bugs in real-world programs and obtained 11 new CVEs.