Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Land Erosion and Sediment Accumulation Caused by Runoff after a Flash-Flooding Storm Using Topographic Profiles and Spectral Indices

This research deals with the characterization of areas associated with flash floods and erosion caused by severe rainfall storm and sediment transport and accumulation using topographic attributes and profiles, spectral indices (SI), and principal component analysis (PCA). To achieve our objectives, topographic attributes and profiles were retrieved from ASTER-V2 DEM. PCA and nine SI were derived from two Landsat-OLI images acquired before and after the flood-storm. The images data were atmospherically corrected, sensor radiometric drift calibrated, and geometric and topographic distortions rectified. For validation purposes, the acquired photos during the flood-storm, lithological and geological maps were used. The analysis of approximately 100 colour composite combinations in the RGB system permitted the selection of two combinations due to their potential for characterizing soil erosion classes and sediment accumulation. The first considers the “Intensity, NDWI and NMDI”, while the second associates form index (FI), brightness index (BI) and NDWI. These two combinations provide very good separating power between different levels of soil erosion and degradation. Moreover, the derived erosion risk and sediment accumulation map based on the selected spectral indices segmentation and topographic attributes and profiles illustrated the tendency of water accumulation in the landscape, and highlighted areas prone to both fast moving and pooling water. In addition, it demonstrated that the rainfall, the topographic morphology and the lithology are the major contributing factors for flash flooding, catastrophic inundation, and erosion risk in the study area. The runoff-water power delivers vulnerable topsoil and contributes strongly to the erosion process, and then transports soil material and sediment to the plain areas through waterpower and gravity. The originality of this research resides in its simplicity and rapidity to provide a solid basis strategy for regional policies to address the real causes of problems and risks in developing countries. Certainly, it can help in the improvement of the management of water regulation structures to develop a methodology to maximize the water storage capacity and to reduce the risks caused by floods in the Moroccan Atlas Mountain (Guelmim region).
Development of a biomimetic robotic fish and its control algorithm

This paper is concerned with the design of a robotic fish and its motion control algorithms. A radio-controlled, four-link biomimetic robotic fish is developed using a flexible posterior body and an oscillating foil as a propeller. The swimming speed of the robotic fish is adjusted by modulating joint's oscillating frequency, and its orientation is tuned by different joint's deflections. Since the motion control of a robotic fish involves both hydrodynamics of the fluid environment and dynamics of the robot, it is very difficult to establish a precise mathematical model employing purely analytical methods. Therefore, the fish's motion control task is decomposed into two control systems. The online speed control implements a hybrid control strategy and a proportional-integral-derivative (PID) control algorithm. The orientation control system is based on a fuzzy logic controller. In our experiments, a point-to-point (PTP) control algorithm is implemented and an overhead vision system is adopted to provide real-time visual feedback. The experimental results confirm the effectiveness of the proposed algorithms.
Is There Convergence of Russia's Regions? Exploring the Empirical Evidence: 1995-2010

This paper analyzes convergence in per capita gross regional product of Russia’s regions during the period 1995-2010, when regional data are available. Using a panel regression framework we find no evidence for beta-convergence. Instead we find divergence, which is, however, attenuated over time. Robustness checks that use regional real income instead of gross regional product confirm this outcome as do non-parametric estimates of convergence, namely estimates using Markov transition probability matrices and stochastic kernel plots of regional relative income. Decompositions of regional income and gross regional product also find no sigma-convergence of Russian regions. These decompositions point to the geographical concentration of extractive activities in the Urals and of business services and of the public administration in the Moscow area as the main culprit for this lack of convergence. They also establish that despite reforms to equalize provisions of public goods across Russia, the social services sector of the public administration, education and health still do not have the expected equalizing impact on regional income.
The power of words: Towards a methodology for progress monitoring in design thinking projects

The popularity of design thinking as an innovation paradigm grows continuously. More and more schools and firms implement innovation processes inspired by design thinking, but they lack easy and nonintrusive methods for monitoring the progress of teams following those processes. Consequently, interventions from coaches, teachers, or supervisors tend to rely on intuition or require intensive and intrusive examination of team dynamics. This study uses by-products from the design process and proposes automated assessment of lexical diversity as a monitoring method in process-driven design thinking projects. Thereby, it contributes to the research on the relation between text production and creativity in design projects. To the practical end, it suggests how digitalized by-products of design activities such as notes and documentation, can be leveraged to support the teams as well as coaches, teachers, and supervisors.
Correntropy Based Matrix Completion

This paper studies the matrix completion problems when the entries are contaminated by non-Gaussian noise or outliers. The proposed approach employs a nonconvex loss function induced by the maximum correntropy criterion. With the help of this loss function, we develop a rank constrained, as well as a nuclear norm regularized model, which is resistant to non-Gaussian noise and outliers. However, its non-convexity also leads to certain difficulties. To tackle this problem, we use the simple iterative soft and hard thresholding strategies. We show that when extending to the general affine rank minimization problems, under proper conditions, certain recoverability results can be obtained for the proposed algorithms. Numerical experiments indicate the improved performance of our proposed approach.
Frequency of Bacterial Samples from Patients with Chronic Acquired Nasolacrimal Duct Obstruction

Dear Editor, We read with interest the article by Shahrakiet et al. regarding the frequency of bacterial samples from patients with chronic acquired nasolacrimal duct obstruction (CANDO) (1). The clinical importance of microbial causes of CANDO and pattern of drug resistance is widely recognized as a key part of the treatment strategy in these patients. Similar to the results of previous studies, the authors found that in patients with CANDO, a great variety of bacterial pathogens can be isolated (2-4). Shahrakiet et al. found that 46.7% of all samples were negative – normal, and only 6.7% were marked with gram positive bacteria. In the results from previous studies, negative cultures were found in 17.8% of patients in Thailand (4), 15.6% in Nepal (3) and only 10% in United States (5). Additionally, in most of previous studies gram positive bacteria were the most predominant in culture positive specimens, from 64.9% to 78.5% (2-4). Thus, Pornpanich et al. found that in patients with longer duration of the CANDO symptoms, gram negative cultures become more common (2). Therefore, these differences might be a result of prolonged previous usage of different local and systemic antibiotics in the present group, which could result in changed bacterial profile and fungal superinfection. However, Shahrakiet et al. (1) found no presence of the fungus in their samples, which could be positive in up to 14.9% of samples (3). Consequently, the bacterial resistance profile in this study is a bit different form other studies, which might be misleading for the future readers. This is particularly applies to overall low sensitivity and high resistance (36.7%) to vancomycin in this study, which is important aid in most difficult ophthalmic cases (5). Furthermore, the outcome of dacryocystorhinostomy, as a successful procedure for the treatment of nasolacrimal obstruction associated with dacryocystitis, significantly depends on possible bacterial and fungal superinfection (6). For these reasons, we would kindly ask the authors to present the data for duration of the symptoms, history of previous antibiotic usage, percentage of positive fungus cultures, and the finial prognosis regarding the possible operative treatment. These findings will significantly contribute to the papers scientific value and contribution. Overall we agree with Shahrakiet et al. that variety of bacteria can cause CANDO, and identification of bacterial contamination can be a great help in the treatment process. Other systemic and ocular risk factors should be carefully monitored too.
Genetic counselor training for the next generation: Where do we go from here?

Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas Department of Human Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania Department of Genetics, Stanford Children’s Health j Lucile Packard Children’s Hospital, Stanford University School of Medicine, Stanford, California Department of Global Health, College of Public Health, University of South Florida, Tampa, Florida
Time trend and risk factors of avascular bone necrosis in patients with systemic lupus erythematosus

Objectives The objective of this paper is to study the time trend and risk factors of avascular bone necrosis (AVN) in patients with systemic lupus erythematosus (SLE). Methods Between 1999 and 2014, patients who fulfilled the ACR criteria for SLE and developed symptomatic AVN were identified from our cohort database and compared with those without AVN, matched for age, sex and SLE duration. The standardized incidence ratios (SIRs) of AVN in different SLE age groups were calculated from data derived from our hospital registry and population census. Risk factors for AVN were studied by logistic regression, adjusted by a propensity score for ever use of high-dose glucocorticoids (GCs). Results Fifty-five SLE patients with AVN and 220 SLE patients without AVN were studied. There were 104 AVN sites involved, with the hips being most commonly affected (82%). The point prevalence of AVN in our SLE cohort was 7.4%. The SIRs of AVN in our SLE patients were 131 (86.6–199; p < 0.001) and 56.0 (34.3–91.4; p < 0.001), respectively, in the periods 1995–2004 and 2005–2014. In both decades, the age-stratified SIR was highest in the youngest age group (<19 years). AVN patients were more likely to be treated with GCs and had received a significantly higher cumulative dose of prednisolone since SLE diagnosis (16.5 vs 10.7 grams; p = 0.001). The SLE damage score (excluding AVN) was also significantly higher in AVN than non-AVN patients (2.5 vs 0.4; p < 0.001). Logistic regression revealed that preceding septic arthritis of the involved joint (odds ratio (OR) 17.7 (1.5–205); p = 0.02), cushingoid body habitus (OR 2.4 (1.1–5.2); p = 0.04), LDL cholesterol level (OR 1.4 (1.0–1.9); p = 0.04), maximum daily dose of prednisolone (OR 6.4 (1.2–33.3); p = 0.03) and cumulative dose of prednisolone received in the first six months of the first lupus flare (OR 1.3 (1.0–1.8); p = 0.046) were independently associated with AVN. Conclusions AVN is prevalent in SLE, particularly in younger patients. The use of GCs remains the strongest independent risk factor. A trend of reduction in the SIR of AVN in our SLE patients is observed over the past two decades.
Does Dexamethasone Helps in Meningococcal Sepsis?

Purpose: Prompt recognition and aggressive early treatment are the only effective measures against invasive meningococcal disease (IMD). Anti-inflammatory adjunctive treatment remains controversial and difficult to assess in patients with IMD. The purpose of this study was to evaluate the effect of dexamethasone (DXM) as adjunctive treatment in different clinical forms of IMD, and attempt to answer if DXM should be routinely used in the treatment of IMD. Methods: In this non-interventional clinical study (NIS), 39 patients with meningococcal septicaemia with or without of meningitis were included, and compared regarding the impact of dexamethasone (DXM), as an adjunctive treatment, on the outcome of IMD. SPSS statistics is used for statistical processing of data. Results: Thirty (76.9%) patients with IMD had sepsis and meningitis, and 9 (23.1%) of them had sepsis alone. Dexamethasone was used in 24 (61.5%) cases, in both clinical groups. The overall mortality rate was 10.3%. Pneumonia was diagnosed in 6 patients (15.4%), arthritis in 3 of them (7.7%), and subdural effusion in one patient (2.6%). The data showed a significant statistical difference on the length of hospitalization, and WBC normalization in groups of patients treated with DXM. Conclusion: The use of DXM as adjunctive therapy in invasive meningococcal disease has a degree of proven benefits and no harmful effects. In fighting this very dangerous and complex infection, even a limited benefit is sufficient to recommend the use of DXM as adjunctive treatment in invasive meningococcal disease.
Tobacco Rotated with Rapeseed for Soil-Borne Phytophthora Pathogen Biocontrol: Mediated by Rapeseed Root Exudates

Black shank, caused by Phytophthora parasitica var. nicotianae, is a widespread and destructive disease of tobacco. Crop rotation is essential in controlling black shank. Here, we confirmed that rotating black shank-infested fields with rapeseed (Brassica napus) suppressed the incidence this disease. Further study demonstrated that rapeseed roots have a strong ability to attract zoospores and subsequently stop the swimming of zoospores into cystospores. Then, rapeseed roots secrete a series of antimicrobial compounds, including 2-butenoic acid, benzothiazole, 2-(methylthio)benzothiazole, 1-(4-ethylphenyl)-ethanone, and 4-methoxyindole, to inhibit the cystospore germination and mycelial growth of P. parasitica var. nicotianae. Thus, rapeseed rotated with tobacco suppresses tobacco black shank disease through the chemical weapons secreted by rapeseed roots.
Accuracy and reproducibility of aortic annular measurements obtained from echocardiographic 3D manual and semi-automated software analyses in patients referred for transcatheter aortic valve implantation: implication for prosthesis size selection

Aims A 3D transoesophageal echocardiography (3D-TOE) reconstruction tool has recently been introduced. The system automatically configures a geometric model of the aortic root and performs quantitative analysis of these structures. We compared the measurements of the aortic annulus (AA) obtained by semi-automated 3D-TOE quantitative software and manual analysis vs. multislice computed tomography (MSCT) ones. Methods and results One hundred and seventy-five patients (mean age 81.3 ± 6.3 years, 77 men) who underwent both MSCT and 3D-TOE for annulus assessment before transcatheter aortic valve implantation were analysed. Hypothetical prosthetic valve sizing was evaluated using the 3D manual, semi-automated measurements using manufacturer-recommended CT-based sizing algorithm as gold standard. Good correlation between 3D-TOE methods vs. MSCT measurements was found, but the semi-automated analysis demonstrated slightly better correlations for AA major diameter (r = 0.89), perimeter (r = 0.89), and area (r = 0.85) (all P < 0.0001) than manual one. Both 3D methods underestimated the MSCT measurements, but semi-automated measurements showed narrower limits of agreement and lesser bias than manual measurements for most of AA parameters. On average, 3D-TOE semi-automated major diameter, area, and perimeter underestimated the respective MSCT measurements by 7.4%, 3.5%, and 4.4%, respectively, whereas minor diameter was overestimated by 0.3%. Moderate agreement for valve sizing for both 3D-TOE techniques was found: Kappa agreement 0.5 for both semi-automated and manual analysis. Interobserver and intraobserver agreements for the AA measurements were excellent for both techniques (intraclass correlation coefficients for all parameters >0.80). Conclusion The 3D-TOE semi-automated analysis of AA is feasible and reliable and can be used in clinical practice as an alternative to MSCT for AA assessment.
Discharging tRNAs: a tug of war between translation and detoxification in Escherichia coli

Translation is a central cellular process and is optimized for speed and fidelity. The speed of translation of a single codon depends on the concentration of aminoacyl-tRNAs. Here, we used microarray-based approaches to analyze the charging levels of tRNAs in Escherichia coli growing at different growth rates. Strikingly, we observed a non-uniform aminoacylation of tRNAs in complex media. In contrast, in minimal medium, the level of aminoacyl-tRNAs is more uniform and rises to approximately 60%. Particularly, the charging level of tRNASer, tRNACys, tRNAThr and tRNAHis is below 50% in complex medium and their aminoacylation levels mirror the degree that amino acids inhibit growth when individually added to minimal medium. Serine is among the most toxic amino acids for bacteria and tRNAsSer exhibit the lowest charging levels, below 10%, at high growth rate although intracellular serine concentration is plentiful. As a result some serine codons are among the most slowly translated codons. A large fraction of the serine is most likely degraded by L-serine-deaminase, which competes with the seryl-tRNA-synthetase that charges the tRNAsSer. These results indicate that the level of aminoacylation in complex media might be a competition between charging for translation and degradation of amino acids that inhibit growth.
Uniform data collection in routine clinical practice in cardiovascular patients for optimal care, quality control and research: The Utrecht Cardiovascular Cohort

Background Cardiovascular disease remains the major contributor to morbidity and mortality. In routine care for patients with an elevated cardiovascular risk or with symptomatic cardiovascular disease information is mostly collected in an unstructured manner, making the data of limited use for structural feedback, quality control, learning and scientific research. Objective The Utrecht Cardiovascular Cohort (UCC) initiative aims to create an infrastructure for uniform registration of cardiovascular information in routine clinical practice for patients referred for cardiovascular care at the University Medical Center Utrecht, the Netherlands. This infrastructure will promote optimal care according to guidelines, continuous quality control in a learning healthcare system and creation of a research database. Methods The UCC comprises three parts. UCC-1 comprises enrolment of all eligible cardiovascular patients in whom the same information will be collected, based on the Dutch cardiovascular management guideline. A sample of UCC-1 will be invited for UCC-2. UCC-2 involves an enrichment through extensive clinical measurements with emphasis on heart failure, cerebral ischaemia, arterial aneurysms, diabetes mellitus and elevated blood pressure. UCC-3 comprises on-top studies, with in-depth measurements in smaller groups of participants typically based on dedicated project grants. All participants are followed up for morbidity and mortality through linkage with national registries. Conclusion In a multidisciplinary effort with physicians, patients and researchers the UCC sets a benchmark for a learning cardiovascular healthcare system. UCC offers an invaluable resource for future high quality care as well as for first-class research for investigators.
Multi-scale spatial variation in stable isotope and fatty acid profiles amongst temperate reef species: implications for design and interpretation of trophic studies

Stable isotopes of carbon and nitrogen and fatty acid analyses are increasingly being used in combination to determine the trophic structure of marine systems. For stable isotopes, the variability in carbon and nitrogen isotopic signatures has long been recognised and has been charac- terised for some taxa. Whilst it is known that metabolic processes may influence fatty acid profiles, the spatial variability of fatty acid profiles has not been documented. Understanding at what scale these 2 biochemical tracers vary, and if the scale of variability corresponds between tracers, is crucial for the correct design and interpretation of combined tracers in trophic studies. This study is the first to examine spatial variability in fatty acid profiles per se, and in combination with stable isotope ratios in the same organisms at multiple spatial scales. We used a spatially hierarchical design which sam- pled across broad geographic regions, reefs within regions, and also between different parts of macroalgal plants common on temperate reefs. For stable isotopes of carbon and nitrogen, variability was greatest at intermediate spatial scales (between locations within regions, and sites within loca- tions). In contrast, fatty acid profiles showed the greatest variation amongst individual replicates of lobster, abalone and macroalgae. This study demonstrates that for the increasing number of trophic studies using combined biochemical tracers, sampling design should cater to the differences in the variability of each tracer technique and allocate sampling accordingly.
Impact of warming events on reef‐scale temperature variability as captured in two Little Cayman coral Sr/Ca records

The rising temperature of the world's oceans is affecting coral reef ecosystems by increasing the frequency and severity of bleaching and mortality events. The susceptibility of corals to temperature stress varies on local and regional scales. Insights into potential controlling parameters are hampered by a lack of long term in situ data in most coral reef environments and sea surface temperature (SST) products often do not resolve reef‐scale variations. Here we use 42 years (1970–2012) of coral Sr/Ca data to reconstruct seasonal‐ to decadal‐scale SST variations in two adjacent but distinct reef environments at Little Cayman, Cayman Islands. Our results indicate that two massive Diploria strigosa corals growing in the lagoon and in the fore reef responded differently to past warming events. Coral Sr/Ca data from the shallow lagoon successfully record high summer temperatures confirmed by in situ observations (>33°C). Surprisingly, coral Sr/Ca from the deeper fore reef is strongly affected by thermal stress events, although seasonal temperature extremes and mean SSTs at this site are reduced compared to the lagoon. The shallow lagoon coral showed decadal variations in Sr/Ca, supposedly related to the modulation of lagoonal temperature through varying tidal water exchange, influenced by the 18.6 year lunar nodal cycle. Our results show that reef‐scale SST variability can be much larger than suggested by satellite SST measurements. Thus, using coral SST proxy records from different reef zones combined with in situ observations will improve conservation programs that are developed to monitor and predict potential thermal stress on coral reefs.