Miracle-dz/UniFAR-FTUs huggingface dataset:
A COMPARATIVE STUDY BETWEEN POROUS TITANIUM GRANULES AND NANOCRYSTALLINE HYDROXYAPATITE IN HEALING OF MANDIBULAR DEFECTS IN DOGS

Abstract: Background: Bone grafting is a common technique in Oral and Maxillofacial surgery to replace missing bone. Grafting materials include autografts, allografts, xenografts and synthetic bone substitutes. Two synthetic bone materials are currently available; porous titanium granules and nanocrystalline hydroxyapatite. Objectives: This study compared the use of Porous titanium granules (PTG) versus Nanobone® in healing of mandibular defects in dogs and this was estimated by histological and histomorphometric analysis. Materials and Methods: The study was conducted on 10 healthy experimental dogs. An osseous defect of 10mm depth and 10mm width was created in the premolar area of both right and left sides of the mandible. The right side defects were grafted with PTG while the left side defects were grafted with Nanobone®. Histological and histomorphometrical evaluation was carried out to monitor bone healing and quantify the bone volume with both PTG and Nanobone® at 3, 6 and 12 weeks intervals post-operatively. Results: The mean bone volume value with PTG was 773.4 ± 499.4 on the 3rd week, then increased on the 6th week to be 10125.3 ± 19287.3 and 2676.0 ± 1388.2 on the 12th week. The mean bone volume value with Nanobone® was 525.5 ± 332.1 on the 3rd week, then on the 6th week it became 287.4 ± 322.5. There was a statistically significant increase on the 12th to be 1976.8 ± 1568.1. There was a statistically significant difference regarding the mean bone volume value between the two groups. Conclusion: Both PTG and Nanobone® have osteoconductive properties and are effective in healing bone defects, but the histomorphometric analysis quantified the bone volume with both PTG and Nanobone® and revealed that the maximum amount of the total regenerated bone was seen in the PTG group; bone was formed within its porosities Key Words: Porous Titanium Granules, Nanobone®, bone defects, bone volume, histomorphometric analysis.
Mechanism Design via Optimal Transport Citation

Optimal mechanisms have been provided in quite general multi-item settings [4], as long as each bidder’s type distribution is given explicitly by listing every type in the support along with its associated probability. In the implicit setting, e.g. when the bidders have additive valuations with independent and/or continuous values for the items, these results do not apply, and it was recently shown that exact revenue optimization is intractable, even when there is only one bidder [8]. Even for item distributions with special structure, optimal mechanisms have been surprisingly rare [13] and the problem is challenging even in the two-item case [10]. In this paper, we provide a framework for designing optimal mechanisms using optimal transport theory and duality theory. We instantiate our framework to obtain conditions under which only pricing the grand bundle is optimal in multi-item settings (complementing the work of [13]), as well as to characterize optimal two-item mechanisms. We use our results to derive closed-form descriptions of the optimal mechanism in several two-item settings, exhibiting also a setting where a continuum of lotteries is necessary for revenue optimization but a closed-form representation of the mechanism can still be found efficiently using our framework. Supported by a Sloan Foundation Fellowship, a Microsoft Research Faculty Fellowship, and NSF Award CCF0953960 (CAREER) and CCF-1101491. Supported by Fannie and John Hertz Foundation Daniel Stroock Fellowship and NSF Award CCF-1101491. Supported by NSF Award CCF1101491.
An integrated genetic algorithm-conventional regression-analysis of variance for improvement of gasoline demand estimation

This study presents an integrated algorithm for forecasting gasoline demand based on genetic algorithm (GA) with variable parameters using stochastic procedures, conventional regression and analysis of variance (ANOVA). The proposed algorithm uses ANOVA to select either GA or conventional regression for future demand estimation. It uses minimum absolute percentage of error (MAPE) when the null hypothesis in ANOVA is accepted to select from GA or regression model. The significance of the proposed algorithm is twofold. Firstly, it is flexible and identifies the best model based on the results of ANOVA and MAPE. Secondly, the proposed algorithm may identify conventional regression as the best model for future gasoline demand forecasting because of its dynamic structure, whereas previous studies assume that GA always provide the best solutions and estimation. To show the applicability and superiority of the proposed algorithm, the data for gasoline demand in Iranian agriculture sector from 1972 to 2002 is used and applied to the proposed algorithm.
Structural Features, Modification, and Functionalities of Beta-Glucan

Β-glucan is a strongly hydrophilic non-starchy polysaccharide, which, when incorporated in food, is renowned for its ability to alter functional characteristics such as viscosity, rheology, texture, and sensory properties of the food product. The functional properties of β-glucans are directly linked to their origin/source, molecular weight, and structural features. The molecular weight and structural/conformational features are in turn influenced by method of extraction and modification of the β-glucan. For example, whereas physical modification techniques influence only the spatial structures, modification by chemical agents, enzyme hydrolysis, mechanical treatment, and irradiation affect both spatial conformation and primary structures of β-glucan. Consequently, β-glucan can be modified (via one or more of the aforementioned techniques) into forms that have desired morphological, rheological, and (bio)functional properties. This review describes how various modification techniques affect the structure, properties, and applications of β-glucans in the food industry.
Assessing Salicornia europaea Tolerance to Salinity at Seed Germination Stage

Salicornia europaea, a halophytic species, was investigated to assess its ability to withstand salinity during seed germination, and to identify suitable indices to interpret salt tolerance at this delicate stage. Seed germination indices (germination percentage (GP), germination energy (GE), germination value (GV), coefficient of germination velocity (CVG), germination rate index (GRI), germination peak value (GPV), mean germination time (MGT), and time to 50% germination (T50)) were calculated under increasing salinity (0, 100, 200, 300, 400, and 600 mM NaCl). Principal component analysis (PCA) was used to describe the relationships involving the variables that account for data variance. Two salinity thresholds were identified (100 and 600 mM NaCl) determining significant decreases in all the indices, except for T50 and MGT. In fact, PCA based on generated correlation circle showed significant negative correlations (r close to −1) between salt stress and GP, GE, GRI, PV, GV, and CVG, whereas no correlation was observed with T50 and MGT (r close to zero). Based on this, GP, GE, GRI, PV, GV, and CVG can be considered useful traits to assess salt tolerance during germination in S. europaea, while T50 and MGT, that were not affected by the range of salinity levels investigated, should not be used for this purpose.
Impacts of Tile Drainage on Phosphorus Losses from Edge-of-Field Plots in the Lake Champlain Basin of New York

Quantifying the influence of tile drainage on phosphorus (P) transport risk is important where eutrophication is a concern. The objective of this study was to compare P exports from tile-drained (TD) and undrained (UD) edge-of-field plots in northern New York. Four plots (46 by 23 m) were established with tile drainage and surface runoff collection during 2012–2013. Grass sod was terminated in fall 2013 and corn (Zea mays L.) for silage was grown in 2014 and 2015. Runoff, total phosphorus (TP), soluble reactive phosphorus (SRP), and total suspended solids (TSS) exports were measured from April 2014 through June 2015. Mean total runoff was 396% greater for TD, however, surface runoff for TD was reduced by 84% compared to UD. There was no difference in mean cumulative TP export, while SRP and TSS exports were 55% and 158% greater for UD, respectively. A three day rain/snowmelt event resulted in 61% and 84% of cumulative SRP exports for TD and UD, respectively, with over 100% greater TP, SRP and TSS exports for UD. Results indicate that tile drainage substantially reduced surface runoff, TSS and SRP exports while having no impact on TP exports, suggesting tile drains may not increase the overall P export risk.
Attractive lures for fruit flies in an organic guava orchard

ABSTRACT Fruit flies are the biggest obstacle in guava cultivation, with the monitoring of population a fundamental aspect for their management. The objective of this study was to assess the effectiveness of attractive lures for fruit flies in guava trees, produced in an organic system. McPhail traps were installed with 400 mL of solution, in four repetitions, and distributed in randomized blocks in six treatments: Isca Mosca® (5%); Isca Samaritá Tradicional® (5%); Torula® yeast; Bio Anastrepha® (5%); Ceratrap® and guava juice (50%), with 3 weekly reviews. Data on capture were subjected to analysis of variance, and averages were compared (Tukey 5%). The values of fly trap per day (FTD) were computed. The correlation between flies and meteorological variables were evaluated, as well as the monthly cost of lures. A total of 37,917 individuals from the genus Anastrepha and 122 species of flies Ceratitis capitata were collected, being Anastrepha spp. the main genus of fruit fly in the region. The Ceratrap product proved to be superior, followed by Torula, Isca Mosca, and Bio Anastrepha; Isca Samaritá and guava juice presented the lowest results. The standard trapping of females was like the total. The uniformity of attraction presented a drop in all treatments, and Ceratrap was more constant after seven days. The correlations between meteorological factors and population variation were positive and significant only for precipitation. The most expensive treatments (Ceratrap and Torula) were also the most efficient and selective, and the Ceratrap product required less manpower.
Evidence for protracted and lecithotrophic larval development in the yeti crab Kiwa tyleri from hydrothermal vents of the East Scotia Ridge, Southern Ocean

The deep-sea squat lobster Kiwa tyleri (also known as yeti crab) is the dominant macroinvertebrate inhabiting hydrothermal vents on the northern and southern segments of the East Scotia Ridge in the Southern Ocean. Here, we describe the first zoeal stage of the species—which is morphologically advanced—and provide evidence for its lecithotrophy in development. This morphologically advanced stage at hatching suggests that dispersal potential during early ontogeny may be limited. Adults of K. tyleri typically inhabit a warm-eurythermal, and spatially defined, temperature envelope of vent chimneys. In contrast, ovigerous females with late embryos are found away from these temperatures, off the vent site. This implies that at least part of embryogenesis takes place away from the chemosynthetic environment. Larvae are released into the cold waters of the Southern Ocean that are known to pose physiological limits on the survival of reptant decapods. Larval lecithotrophy may aid long developmental periods under these conditions and facilitate development independent of pronounced seasonality in primary production. It remains uncertain, however, how population connectivity between distant vent sites may be achieved.
Enhancing Gas Permeation Properties of Pebax® 1657 Membranes via Polysorbate Nonionic Surfactants Doping

Composite membranes were prepared by co-casting, incorporating two nonionic surfactants in a poly(ether-block-amide), Pebax® 1657 up to 50 wt %. These polysorbate nonionic surfactants contain many ethylene oxide units and are very CO2-philic agents; thereby, they can be exploited as membrane additives for gas separation involving carbon oxide. Dynamic light scattering analysis proved a higher stability of additionated Pebax® 1657 solutions with respect to those containing only the copolymer. Scanning electron microscopy showed a regular membrane morphology without pores or defects for all investigated samples. If on the one hand the addition of the additive has depressed the mechanical properties, on the other, it has positively influenced the gas transport properties of Pebax® 1657 films. CO2 permeability increased up to two or three times after the incorporation of 50 wt % additive in copolymer matrix, while the selectivity was not significantly affected. The effect of temperature on permanent gas transport properties was studied in the range of 15–55 °C.
2018 년 한국컴퓨터종합학술대회 논문집 Energy Efficient Resource Allocation in Unmanned Aerial Vehicles-Enabled Wireless Networks

In this paper, the transmit power minimizing of Unmanned Aerial Vehicles (UAVs) which are deployed as aerial base stations is investigated. We assume that the UAVs operate under the frequency division multiple access (FDMA) technique to provide wireless services to the ground users distributed in hotspot area. For the given locations of UAVs and cell association of users, we minimize the transmit power of UAVs under the fair bandwidth allocation satisfying the user data rate requirement using convex optimization. Our analytical results show that the total transmit power of UAVs can be reduced by allocating the bandwidth fairly.
Convergence to equilibrium in competitive Lotka-Volterra equations

We study a generalized system of ODE's modeling a finite num- ber of biological populations in a competitive interaction. We adapt the techniques in (8) and (2) to prove the convergence to a unique stable equilib- rium. Resume. Nousetudions un systeme generalise d'´equations differentielles modelisant un nombre fini de populations biologiques en interaction compe- titive. En adaptant les techniques de (8) et (2), nous prouvons la convergence vers un uniquestable.
A Maintenance-based trust for Open MultiAgent Systems

In last years, trust and reputation has been gaining increasing interest in multi-agent systems (MAS). To address this issue, we propose in this paper a maintenance-based trust mechanism for agents operating in multi-agent systems. In the proposed model, a comprehensive trust assessment process is provided to assess the trustworthiness of the participating agents. The main characteristic of this model is the retrospect trust adjustments, which integrate the applicable constraints and modify the involved features with respect to the actual performance of the evaluated agent. Specifically, the retrospect process updates the belief set of the agents in order to adapt them to the social network changes. This paper has two contributions: after describing the architecture of the proposed framework, we provide a theoretical analysis of its assessment and discuss the system implementation, along with simulations comparing it with the broadly known frameworks.
Imported malaria and epidemiologic components of this infection in Qeshm Island, Iran

Malaria threat a human health and economic status of endemic areas. It has established in many regions in spite of investment on control interventions. This study included the epidemiological characteristics of malaria disease relying on the imported malaria in Qeshm Island, south of Iran. In total, 161 (93.06%) of malaria cases were male and 12 (6.93%) were female. Vivax and falciparum malaria involved 160 (92.48%) and 13 (7.51%) respectively. All falciparum malaria (Fm) were foreign immigrants. Furthermore, no case of fm was seen in <10 age group. Similarly, 82.08% of vivax cases inhabited in rural and developing areas. API ranged from 0.17 to 0.03 per 1000. The pattern of malaria incidence dramatically changed since 2008 so that imported malaria increased due to huge travel of migrants to the south of Iran.
Ultimate Attainment of L 2 Inflection : Effects of L 1 Prosodic Structure

Many L2 speakers fail to supply functional morphology consistently in production. In this paper, the Prosodic Transfer Hypothesis (PTH) is proposed, where this is attributed to L1 constraints on prosodic structure. The PTH maintains that functional material which is appropriately represented in syntax may be deleted in production if prosodic structures necessary in the L2 cannot be built from L1 structures. When non-target-like L1 structures are used to accommodate L2 functional material, use is variable and there are asymmetries in the contexts where it appears. The present focus is on an end-state Turkish-speaking learner of English. It is shown that the prosodic structures available in Turkish can be minimally adapted to yield the structure required for English inflection, where the speaker is highly accurate. To represent English articles, the required structure cannot be built from L1 structures; hence, rate of suppliance is lower and is largely determined by phonological context.
Using Affective Loop as Auxilliary Design Tool for Video Games

As modern technologies become more apparent and persistent, human-computer interaction becomes an important research topic. With birth of affective computing, which aims at developing systems capable of detecting and processing emotionally significant data from the environment, new possibilities for applications unfold, and video games can benefit from them as well. Bringing innovative solutions to this area involves new modes of affective data collection and affect modelling of various aspects of the game experience. My research, focusing on affective game design patterns, is located on the intersection of modelling player affect and affective game design framework. In this paper, an outline of how affective computing ideas (especially affective loop) are introduced to video game design is presented. A new approach to designing video games in the form of affective game design patterns is proposed, together with research method description and summary of studies conducted so far.
AN EFFECTIVE MACHINE LEARNING ALGORITHM FOR TEXTURE BASED MEDICAL IMAGE RETRIEVAL SYSTEM

In the present digital world, an image databases are increasing enormously across the world. An effective image retrieval approach is needed for utilizing this massive databases. An extensive research efforts have been conducted in the field of Content-Based Medical Image Retrieval(CBMIR) system. This paper analysed a novel evolutionary approach to extract texture features for CBMIR application.The selected texture features are Local Octal pattern(LOP)in which extracted features are formed as feature vector database. A machine learning algorithms are analysed for feature selection and classification problems. To reduce the high dimensional texture features, Grey Wolf Optimization(GWO) is used to select the best features. A classification algorithm is used as an Evaluation Criteria, for identifying the best subset of features. Fuzzy based Relevance Vector Machine(FRVM) based classification algorithm is applied to classify the subset of texture features of the images. Euclidean Distance(ED) is used as similarity measurement techniques, to identify the similarity between the query image and the classified image feature database.To evaluate the retrieval performance, an experiments have been conducted on medical image dataset. The Precision and Recall is used as a performance metrics to evaluate the CBMIR systems.
SEISMIC STRENGTHENING OF EXISTING RC BUILDINGS STRUCTURES USING CONCRETE JACKETING AND FRP MATERIALS

The need for repairing and strengthening RC buildings and their structural elements occurs when their elements do not possess sufficient strength, stiffness, and/or ductility due to damage mostly caused by earthquakes. Within the scope of this study, special emphasis will be given to RC buildings where the built-in concrete has not achieved the designed concrete class during construction and/or buildings that cannot satisfy the required strength, stiffness, and deformation characteristics particularly in earthquake conditions owing to construction of additional storeys or enlargements. In such cases, it is necessary to repair and strengthen both individual structural elements and whole structures using traditional (concrete jacketing) and innovative (FRP) materials.
Photoacoustic Imaging for Management of Breast Cancer: A Literature Review and Future Perspectives

In this review article, a detailed chronological account of the research related to photoacoustic imaging for the management of breast cancer is presented. Performing a detailed analysis of the breast cancer detection related photoacoustic imaging studies undertaken by different research groups, this review attempts to present the clinical evidence in support of using photoacoustic imaging for breast cancer detection. Based on the experimental evidence obtained from the clinical studies conducted so far, the performance of photoacoustic imaging is compared with that of conventional breast imaging modalities. While we find that there is enough experimental evidence to support the use of photoacoustic imaging for breast cancer detection, additional clinical studies are required to be performed to evaluate the diagnostic potential of photoacoustic imaging for identifying different types of breast cancer. To establish the utility of photoacoustic imaging for breast cancer screening, clinical studies with high‐risk asymptomatic patients need to be done.
Synthetic 4-Hydroxy Auxarconjugatin B, a Novel Autophagy Inducer, Attenuates Gouty Inflammation by Inhibiting the NLRP3 Inflammasome

Gouty arthritis results from the generation of uric acid crystals within the joints. These uric acid crystals activate the NACHT, LRR and PYD domains-containing protein 3 (NLRP3) inflammasome, which is involved in chronic inflammatory diseases, including gouty arthritis. This study identified the polyenylpyrrole derivative 4-hydroxy auxarconjugatin B (4-HAB), a novel autophagy inducer, which attenuated uric acid crystals-mediated activation of the NLRP3 inflammasome in vitro and in vivo. 4-HAB dose-dependently reduced the release of interleukin (IL)-1β, IL-18, active caspase-1 and apoptosis-associated speck-like protein (ASC) in uric acid crystals-activated macrophages. In a mechanistic study, 4-HAB was shown to inhibit uric acid crystals-induced mitochondrial damage, lysosomal rupture and ASC oligomerization. Additionally, 4-HAB inhibited the NLRP3 inflammasome through Sirt1-dependent autophagy induction. Furthermore, the anti-inflammatory properties of 4-HAB were confirmed in a mouse model of uric acid crystals-mediated peritonitis by the reduced levels of neutrophil influx, IL-1β, active caspase-1, IL-6 and MCP-1 in lavage fluids. In conclusion, 4-HAB attenuates gouty inflammation, in part by attenuating activation of the NLRP3 inflammasome through the Sirt1/autophagy induction pathway.
Toll-Like Receptor 11: Role in Post-Transplantation Renal Infections

Uropathogenic microorganisms interact with the intestinal tract mucosa, which activate immune cell responses through the Toll-like receptors (TLRs). TLRs are single, membrane-spanning, non-catalytic proteins and it has significant role in the innate immune system. Recent studies have demonstrated that TLRs expressed in sentinel cells such as dendritic and macrophages cells that recognize structurally conserved molecules derived from microorganisms. Interestingly, the massive infection of the kidney observed in the TLR11 knockout mice, which indicate the hypothesis that TLR11 provides a barrier that prevents uropathogenic bacteria from infecting specifically the post-transplantation kidneys.