Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comparison of Submap Registration Methods for Multibeam Bathymetric Mapping

On-the-fly registration of overlapping multibeam images is important for path planning by AUVs performing underwater surveys. In order to meet specification on such things as survey accuracy, coverage and density, precise corrections to the AUV trajectory while underway are required. There are fast methods for aligning point clouds that have been developed for robots. We compare several state of the art methods to align point clouds of large, unstructured, sub-aquatic areas to build a global map. We first collect the multibeam point clouds into smaller submaps that are then aligned using variations of the ICP algorithm. This alignment step can be applied if the error in AUV pose is small. It would be the final step in correcting a larger error on loop closing where a place recognition and a rough alignment would precede it. In the case of a lawn mower pattern survey it would be making more continuous corrections to small errors in the overlap between parallel lines. In this work we compare different methods for registration in order to determine the most suitable one for underwater terrain mapping. To do so, we benchmark the current state of the art solutions according to an error metrics and show the results.
Effect of non-surgical periodontal treatment on gingival crevicular fluid and serum leptin levels in periodontally healthy chronic periodontitis and chronic periodontitis patients with type 2 diabetes mellitus.

AIM The aim of the present study was to evaluate the effect of non-surgical periodontal therapy (NSPT) on gingival crevicular fluid (GCF) and serum leptin levels and glycemic status in periodontally healthy patients with chronic periodontitis (CP) with and without type 2 diabetes mellitus (T2DM). METHODS Ninety patients were divided into three groups: periodontally healthy (group 1), CP (group 2) and CP with T2DM (group 3). The groups were evaluated for clinical parameters of probing pocket depth (PPD), clinical attachment level (CAL), plaque index, gingival index, biochemical parameters of GCF, serum leptin levels, and glycemic status pre- and post-NSPT. RESULTS The baseline PPD and CAL for group 2 was 4.98 ± 0.49 mm and 5.35 ± 0.55 mm, respectively; for group 3 it was 5.60 ± 0.38 mm and 6.01 ± 0.38 mm, respectively. There was a considerable reduction in these parameters post-NSPT, with group 2 showing better resolution. Pretreatment serum leptin levels revealed increasing values from group 1 to group 3 and decreasing GCF values from group 3 to group 1, exhibiting an inverse relationship. Group 3 also showed an improvement in glycemic status post-NSPT. CONCLUSION NSPT was effective in improving clinical parameters, increasing GCF, reducing serum leptin levels, and also improving glycemic status in patients with CP and CP with T2DM.
Past, present and future of myoblast transplantation in the treatment of Duchenne muscular dystrophy

Palmieri B, Tremblay JP, Lodi D. Past, present and future of myoblast transplantation in the treatment of Duchenne muscular dystrophy. Pediatr Transplantation 2010: 14:813–819. © 2010 John Wiley & Sons A/S.
A Novel High Performance Lateral AlGaN/GaN Schottky Barrier Diode Using Highly Effective Field Plate with Polarization Enhanced Channel

In this paper, we propose a novel high performance lateral AlGaN/GaN Schottky barrier diode realized by InGaN polarization enhanced channel and the highly effective field plate (HEFP). The InGaN channel, which exhibits larger lattice constant than that of GaN, enabling the maintained 2DEG under the field plate mitigates the channel degeneration caused by recessing process, at the meantime, provides a nearer distance between the shallowly recessed field plate and the current channel, turning out weak influence of turn-on state and strong enhancement of reverse blocking.
Ultraviolet A and Ultraviolet C Light-Induced Reduction of Surface Hydrocarbons on Titanium Implants

Abstract Objective The carbon, titanium, and oxygen levels on titanium implant surfaces with or without ultraviolet (UV) pretreatment were evaluated at different wavelengths through X-ray photoelectron spectroscopy (XPS). Materials and Methods This interventional experimental study was conducted on nine Dio UFII implants with hybrid sandblasted and acid-etched (SLA) surface treatments, divided equally into three groups. Control group A samples were not given UV irradiation, while groups B and C samples were given UVA (382 nm, 25 mWcm2) and UVC (260 nm, 15 mWcm2) irradiation, respectively. The atomic ratio of carbon, titanium, and oxygen was compared through XPS. Results Mean carbon-to-titanium ratio and C1 peaks considerably increased in Group A compared to those in experimental Groups B and C. The intensity of Ti2p and O1s peaks was more pronounced for group C compared to that for groups A and B. Conclusions Although the decrease in surface hydrocarbons was the same in both UV-treated groups, the peak intensity of oxygen increased in the UVC-treated group. Thus, it can be concluded that compared with UVA irradiation, UVC irradiation has the potential to induce more hydrophilicity on SLA-coated implants.
High-protein diet with renal hyperfiltration is associated with rapid decline rate of renal function: a community-based prospective cohort study.

BACKGROUND The effect of a high-protein diet with renal hyperfiltration (RHF) on decline of kidney function has rarely been explored. We investigated the association between a high-protein diet, RHF and declining kidney function. METHODS A total of 9226 subjects from the Korean Genome and Epidemiology Study, a community-based prospective study (2001-14), were enrolled and classified into quartiles according to daily amount of protein intake based on food frequency questionnaires. RHF was defined as estimated glomerular filtration rate (eGFR) with residuals of >95th percentile after adjustment for age, sex, history of hypertension or diabetes, height and weight. Rapid decline of renal function was defined as decline rate of eGFR >3 mL/min/1.73 m2/year. RESULTS The relative risk of RHF was 3.48-fold higher in the highest than in the lowest protein intake quartile after adjustment for confounding factors [95% confidence interval (CI) 1.39-8.71]. The mean eGFR decline rate was faster as quartiles of protein intake increased. Furthermore, the highest quartile was associated with 1.32-fold increased risk of rapid eGFR decline (95% CI 1.02-1.73). When subjects were divided into two groups with or without RHF, the highest quartile was associated with a rapid decline in renal function only in RHF subjects (odds ratio 3.35; 95% CI 1.07-10.51). The sensitivity analysis using the Korean National Health and Nutrition Examination Survey (2008-15) data with 40 113 subjects showed that higher quartile was associated with increased risk for RHF. CONCLUSIONS A high-protein diet increases the risk of RHF and a rapid renal function decline in the general population. These findings suggest that a high-protein diet has a deleterious effect on renal function in the general population.
MDA approach in designing real-time embedded systems

Real-time embedded systems require efficient and maintainable source code. Most real-time systems are written in C programming language, which satisfies these needs. Though efficient, developing real-time systems from scratch by using only C has serious impact on the productivity. To increase the productivity, the level of abstraction must be raised. This paper shows how real-time embedded systems can be developed by using models. Models are designed and validated inside the Typhoon HIL's1 Schematic Editor by using predefined components from the library. Thus created models are used as the specification for the process of code generation.
Column-Oriented Database Acceleration Using FPGAs

The in-memory system is promising for improving the performance of column-oriented database management systems (DBMSs). However, in comparison with NAND-flash-based solid-state drives (SSDs), dynamic random access memories (DRAMs) are around ten times more expensive and tens to thousands of times more energy inefficient. To overcome this drawback, we developed a column-oriented DBMS and a field-programmable-gate-array-based acceleration engine. We integrated them in FCAccel, our prototype system. The acceleration engine accelerates data extraction from SSDs for SQL processing. We compared the performance of FCAccel with that of MonetDB, Impala and PostgreSQL. Performance was evaluated under the conditions that MonetDB and Impala stored all data in DRAMs and FCAccel stored all data in SSDs. With regard to data extraction, the performance of FCAccel ranged from 0.77 to 1.79 times in comparison with that of MonetDB and from 4.10 to 23.4 times in comparison with that of Impala. These experimental results imply that the acceleration engine can remove the necessity to store all data in DRAMs.
Social Determinants and Health Service Use Among Racial and Ethnic Minorities: Findings From a Community Sample

Multiple models conceptualizing the relationship between social determinants and health exist, but little research has examined the relationship between social determinants and health service use. Using previously collected survey data from racial and linguistic minorities from high-crime communities in a Midwestern urban area, this study uses the Commission on Social Determinants of Health framework to test the structural and intermediary determinants of health service use. The results indicate that perceived discrimination and neighborhood cohesion increase the likelihood of a person using health services. Implications for social work practice, advocacy, and research to address intermediary social determinants are discussed.
The risk of cardiovascular side effects with anti-anginal drugs

ABSTRACT Introduction: Angina pectoris is a common presenting symptom of underlying coronary artery disease or reduced coronary flow reserve. Patients with angina have impaired quality of life; and need to be treated optimally with antianginal drugs to control symptoms and improve exercise performance. A wide range of antianginal medications are approved for the treatment of angina, and often more than one class of antianginal drugs are used to adequately control the symptoms. This expert opinion highlights the likely cardiac adverse effects of available antianginal drugs, and how to minimize these in individual patients and especially during combination treatment. Areas covered: All approved antianginal drugs, including the older and newly approved medications with different mechanism of action to the older drugs as well as some of the unapproved herbal medications. The safety profiles and potential cardiac side effects of these medications when used as monotherapy or as combination therapy are discussed and highlighted. Expert opinion: Because of the different cardiac safety profiles and possible side effects, we recommend selection of initial drug or adjustment of therapy based on the resting heart rate; blood pressure, hemodynamic status; and resting left ventricular function, concomitant medications and any associated comorbidities.
Left Ear (Right Temporal Lobe) Suppressions during Dichotic Listening, Ego-Alien Intrusion Experiences and Spiritualistic Beliefs in Normal Women

Beliefs in spiritualism, a history of a sensed presence, and mental diplopia may share a common source of psychometric variance. We hypothesized that this variance should be specifically associated with right temporal-lobe function. Inferences of temporal lobe signs, hemisphericity (Vingiano's quotient) and self-esteem as well as dichotic listening measures were obtained for 26 university women. As predicted, the numbers of left-ear suppressions (right temporal-lobe function) but not of right-ear suppressions were specifically and moderately (rho = 0.64) correlated with the intensity of Tobacyk's spiritualistic beliefs and a history of sensed presences and ego-alien intrusions. However, the negative association (rhos about −0.45) between indices of left-right hemisphericity and self-esteem was related to a separate factor.
Functional near infrared spectroscopy using spatially resolved data to account for tissue scattering: A numerical study and arm‐cuff experiment

Functional Near‐Infrared Spectroscopy (fNIRS) aims to recover changes in tissue optical parameters relating to tissue hemodynamics, to infer functional information in biological tissue. A widely‐used application of fNIRS relies on continuous wave (CW) methodology that utilizes multiple distance measurements on human head for study of brain health. The typical method used is spatially resolved spectroscopy (SRS), which is shown to recover tissue oxygenation index (TOI) based on gradient of light intensity measured between two detectors. However, this methodology does not account for tissue scattering which is often assumed. A new parameter recovery algorithm is developed, which directly recovers both the scattering parameter and scaled chromophore concentrations and hence TOI from the measured gradient of light‐attenuation at multiple wavelengths. It is shown through simulations that in comparison to conventional SRS which estimates cerebral TOI values with an error of ±12.3%, the proposed method provides more accurate estimate of TOI exhibiting an error of ±5.7% without any prior assumptions of tissue scatter, and can be easily implemented within CW fNIRS systems. Using an arm‐cuff experiment, the obtained TOI using the proposed method is shown to provide a higher and more realistic value as compared to utilizing any prior assumptions of tissue scatter.
An Empirical Comparison of Mutant Selection Assessment Metrics

Mutation testing is expensive due to the large number of mutants, a problem typically tackled using selective techniques, thereby raising the fundamental question of how to evaluate the selection process. Existing mutant selection approaches rely on one of two types of metrics (or assessment criteria), one based on adequate test sets and the other based on inadequate test sets. This raises the question as to whether these two metrics are correlated, complementary or substitutable for one another. The tester's faith in mutant selection as well as the validity of previous research work using only one metric rely on the answer to this question, yet it currently remains unanswered. To answer it, we perform qualitative and quantitative comparisons with 104 different projects, consisting of over 600,000 lines of code. Our results indicate a strong connection between the two types of metrics (R^2=0.8622 on average). The strategy for dealing with equivalent mutants and test density is observed to have a negligible impact for mutant selection.
Design and synthesis of 2‐hydroxyl‐4‐methoxyl‐3‐(3‐methylbut‐2‐en‐1‐yl)‐6‐(4‐phenylbenzoylamino)benzoic acid derivatives as antibacterial agents based on cajaninstilbene acid scaffold hopping

The prevalence of multidrug resistance among clinically significant bacterial pathogens underlines a critical need for the development of new classes of antibacterial agents with novel structural scaffolds. Cajaninstilbene acid (CSA), which is isolated from pigeonpea leaves, has shown potent antibacterial activity. In this study, a series of 2‐hydroxyl‐4‐methoxyl‐3‐(3‐methylbut‐2‐en‐1‐yl)‐6‐(4‐phenylbenzoylamino)benzoic acid derivatives derived from CSA were designed and synthesized, and their antibacterial activities were evaluated. Several synthesized compounds exhibit better antibacterial activity than CSA against Staphylococcus aureus, Staphylococcus epidermidis, and two strains of methicillin‐resistant S. aureus. Meanwhile, the results of 3‐[4,5‐dimethylthiazol‐2‐yl]‐2,5‐diphenyl tetrazolium bromide assays illustrate the good selectivity between bacteria and normal cells of the most active compounds 6u and 6v. Furthermore, well combinations with bacterial RNA polymerase of 6u arising from docking study imply the possible mechanism of antibacterial activity of these synthetic compounds.
Precipitin production in chickens. XVL The relationship of age to antibody production.

Summary 1.The antibody response of chickens of various ages and different breeds to a single injection of bovine serum albumin was studied. The response is expressed as micrograms nitrogen per ml serum. 2.Statistically significant increases in response occurred between 6 and 12 weeks and between 12 and 22 weeks. 3.The average titer of 56-week-old birds was greater than the 22-week-old animals but the difference was not statistically significant. 4.Three- to 8-year-old animals gave high titered antisera. 5.There were large variations in antibody response in all age groups. 6.A statistically significant difference due to breed was found only in the 6-week-old chickens. 7.The responses of the males were not significantly different from those of the females.
A COMPARISON OF NUMERICAL RANS SIMULATIONS AND FLOW FIELD MEASUREMENTS OF AN OSCILLATING AIRFOIL FOR FLAPPING WING PROPULSION

The flow at Reynolds number 100k around an inflexible, two-dimensional flapping airfoil is investigated using the stereoscopic Particle Image Velocimetry (PIV) technique. The typical phenomenon of a moving laminar separation bubble during one flapping cycle is identified. The measurement data is compared with URANS computations.
A Hierarchical Framework for Top-k Location-Aware Error-Tolerant Keyword Search

Location-aware services have become widely available on a variety of devices. The resulting fusion of spatio-textual data enables the kind of top-k query that takes into account both location proximity and text relevance. Considering both the misspellings in user input and the data quality issues of spatiotextual databases, it is necessary to support error-tolerant spatial keyword search for end-users. Existing studies mainly focused on set-based textual relevance, but they cannot find reasonable results when the input tokens are not exactly matched with those from records in the database. In this paper, we propose a novel framework to solve the problem of top-k location-aware similarity search with fuzzy token matching. We propose a hierarchical index HGR-Tree to capture signatures of both spatial and textual relevance. Based on such an index structure, we devise a best-first search algorithm to preferentially access nodes of HGR-Tree with more similar objects while those with dissimilar ones can be pruned. We further devise an incremental search strategy to reduce the overhead brought by supporting fuzzy token matching. Experimental results on real world POI datasets show that our framework outperforms state-of-the-art methods by one to two orders of magnitude.
Nearly Reversible Threshold Voltage Shifts with Low-Voltage Bias Stress in Solution-Processed In2O3 Thin-Film Transistors

N-channel thin-film transistors (TFTs) made of solution-processed In<inf>2</inf>O<inf>3</inf> were fabricated and electrical tested for device reliability. While the TFTs give a threshold voltage V<inf>th</inf> of 0.6 V for low-voltage operation, experimental results show that V<inf>th</inf> shifts over time even when the gate biasing voltage is at 3 V. V<inf>th</inf> can increase to about 2 V after about one hour. The change in V<inf>th</inf> is nearly reversible if there is a long enough relaxation time. When the gate biasing voltage is -3 V, V<inf>th</inf> changes from 0.6 V to -0.6 V and the V<inf>th</inf> shift is less reversible. Such phenomena are expected to be due to the interface traps in the solution-processed In<inf>2</inf>O<inf>3</inf>.
Aucher: Multi-modal Queries on Live Audio Streams in Real-Time

This paper demonstrates a real-time search system called Aucher for live audio streams. Audio streaming services (e.g., Mixlr, Ximalaya, Lizhi and Facebook Live Audio) have become increasingly popular with the wide use of smart phones. Because of the popularity of audio broadcasting, the data volume of live audio streams is also ever increasing. Searching and indexing these audio streams is an important and challenging problem. Aucher is a system prototype which can support both voice search and keyword search on audio streams. We achieve the real-time response for queries by our novel index which exploits log structured merge-trees and supports multi-modal search. Moreover, our system can handle insertion about four times faster and more memory efficient than the state-of-the-art solution. We plan to demonstrate searching live audio streams by keywords and voice, illustrate the trade-off of freshness, popularity and relevance on query results, perform searching hot terms, and show the ability of searching live audio streams in real-time.
Novel Weather Data Analysis Using Hadoop and MapReduce – A Case Study

Nowadays analyzing data of very large amount has become a big challenge. Data could be medical, scientific, climatically, meteorological, marketing or financial. Techniques of Data mining are used for extraction of unpledged material from large data set. Weather forecasting can be preferred to help many important sectors which are affected by climate like agriculture, air traffic, water resources, and tourism. Weather forecasting is an area of meteorology which is performed by accumulating data from various sources related to the present condition of the weather like rainfall, temperate, wind, and fog. It is the main challenging task for the scientists. Hadoop and MapReduce considered as the important techniques used to analyze a large data set. This paper develops a system that adopts the historical weather data of a region it applies the MapReduce and Hadoop methods to analyze this data.
A Spark-based Ant Lion Algorithm for Parameters Optimization of Random Forest in Credit Classification

According to the fact that in large scale credit classification there is no suitable method for determining the parameter combination when random forest algorithm is multi-calss classification to get the optimal classification result. Based on Spark, this paper proposed a parallel Ant Lion Optimizer(ALO) algorithm to seek optimal parameter combination. Compared with the traditional stand-alone ALO algorithm, the Spark-based parallel strategy initially divided the whole ant population into several sub-populations, then assigned one sub-population to one partition in the RDD, and specified independent evolution in one partition. Finally it utilized the migration operator to exchange information between sub-populations. In the experiment, the lending club loan data was used to classify the borrower's loan classification. It concluded that the Spark-based parallel Ant Lion Optimizer (SALO) algorithm, compared with traditional Ant Lion Optimizer algorithm, can efficiently find the better parameter combinations to improve the classification accuracy in the random forest parameter tuning process. In addition, under the big data distributed Spark platform, the SALO whose speed is so fast and acceleration effect is so obvious will be used as the next-generation parameter optimizer of the cloud computing platform.
Clustered telomeres in phase-separated nuclear condensates engage mitotic DNA synthesis through BLM and RAD52

In this study, Min et al. present a model system that generates telomere clustering in nuclear polySUMO/polySIM condensates, analogous to PML bodies, called artificially engineered ALT-associated PML body (APB)-like condensates, in vivo. They observed that ALT-like phenotypes are rapidly induced by introducing the APB-like condensates together with BLM through its helicase domain, accompanied by ssDNA generation and RPA accumulation at telomeres, and these events lead to mitotic DNA synthesis (MiDAS) at telomeres mediated by RAD52 through its highly conserved N-terminal domain.