Miracle-dz/UniFAR-FTUs huggingface dataset:
CHALLENGES AND OPPORTUNITIES: ONE STOP PROCESSING OF AUTOMATIC LARGE-SCALE BASE MAP PRODUCTION USING AIRBORNE LIDAR DATA WITHIN GIS ENVIRONMENT. CASE STUDY: MAKASSAR CITY, INDONESIA

LiDAR data acquisition is recognized as one of the fastest solutions to provide basis data for large-scale topographical base maps worldwide. Automatic LiDAR processing is believed one possible scheme to accelerate the large-scale topographic base map provision by the Geospatial Information Agency in Indonesia. As a progressive advanced technology, Geographic Information System (GIS) open possibilities to deal with geospatial data automatic processing and analyses. Considering further needs of spatial data sharing and integration, the one stop processing of LiDAR data in a GIS environment is considered a powerful and efficient approach for the base map provision. The quality of the automated topographic base map is assessed and analysed based on its completeness, correctness, quality, and the confusion matrix.
Comparative performance analysis of web image compression

There will always exist a compromise between the network bandwidth and Web contents in the mobile Internet era. Web images need to be compressed efficiently by the servers and rendered fleetly by the clients. There are several alternatives for the compression of Web images, from the long-existing coding standard JPEG to the emerging solution WebP. This paper presents a comparative analysis on both lossless compression and lossy compression of Web Images based on the designed objective experiments, employing performance metrics including the Compression Ratio (CR), the Structural Similarity Index (SSIM), and the time consumption. The results show that WebP has competitive superiority over PNG in lossless image compression, however WebP and JPEG each has its own advantages in lossy compression.
The capsule of Cryptococcus neoformans

ABSTRACT The capsule of Cryptococcus neoformans is its dominant virulence factor and plays a key role in the biology of this fungus. In this essay, we focus on the capsule as a cellular structure and note the limitations inherent in the current methodologies available for its study. Given that no single method can provide the structure of the capsule, our notions of what is the cryptococcal capsule must be arrived at by synthesizing information gathered from very different methodological approaches including microscopy, polysaccharide chemistry and physical chemistry of macromolecules. The emerging picture is one of a carefully regulated dynamic structure that is constantly rearranged as a response to environmental stimulation and cellular replication. In the environment, the capsule protects the fungus against desiccation and phagocytic predators. In animal hosts the capsule functions in both offensive and defensive modes, such that it interferes with immune responses while providing the fungal cell with a defensive shield that is both antiphagocytic and capable of absorbing microbicidal oxidative bursts from phagocytic cells. Finally, we delineate a set of unsolved problems in the cryptococcal capsule field that could provide fertile ground for future investigations.
Quality of Life of Young Adults Who Survived Pediatric Burns

Ninety-five young adult pediatric burn survivors, ages 18 to 28, who were an average of 14 years after massive burn, were questioned about their quality of life. The Quality of Life Questionnaire (QLQ) by Evans and Cope was used to assess their long-term adjustment in diverse environmental settings. Results revealed burn survivors as a group rated their overall quality of life lower than the normal population. They also had differences from the normal population in some subdomains of the QLQ. When analyzed by sex, only one difference was seen with females rating their involvement in sports activities lower than males. Analysis of the effect of age showed that male burn survivors had improvements with their quality of life with age and the further they were after burn. In conclusion, the ability to detect distress among burn survivors will provide targets for related treatment and subsequent assessment of efficacy of intervention.
A multi-instance deep neural network classifier: application to Higgs boson CP measurement

We investigate properties of a classifier applied to the measurements of the CP state of the Higgs boson in $H\rightarrow\tau\tau$ decays. The problem is framed as binary classifier applied to individual instances. Then the prior knowledge that the instances belong to the same class is used to define the multi-instance classifier. Its final score is calculated as multiplication of single instance scores for a given series of instances. In the paper we discuss properties of such classifier, notably its dependence on the number of instances in the series. This classifier exhibits very strong random dependence on the number of epochs used for training and requires careful tuning of the classification threshold. We derive formula for this optimal threshold.
Is Mistletoe Treatment Beneficial in Invasive Breast Cancer? A New Approach to an Unresolved Problem.

BACKGROUND/AIM In this retrospective study, we compared breast cancer patients treated with and without mistletoe lectin I (ML-I) in addition to standard breast cancer treatment in order to determine a possible effect of this complementary treatment. PATIENTS AND METHODS This study included 18,528 patients with invasive breast cancer. Data on additional ML-I treatments were reported for 164 patients. We developed a "similar case" method with a distance measure retrieved from the beta variable in Cox regression to compare these patients, after stage adjustment, with their non-ML-1 treated counterparts in order to answer three hypotheses concerning overall survival, recurrence free survival and life quality. RESULTS Raw data analysis of an additional ML-I treatment yielded a worse outcome (p=0.02) for patients with ML treatment, possibly due to a bias inherent in the ML-I-treated patients. Using the "similar case" method (a case-based reasoning approach) we could not confirm this harm for patients using ML-I. Analysis of life quality data did not demonstrate reliable differences between patients treated with ML-I treatment and those without proven ML-I treatment. CONCLUSION Based on a "similar case" model we did not observe any differences in the overall survival (OS), recurrence-free survival (RFS), and quality of life data between breast cancer patients with standard treatment and those who in addition to standard treatment received ML-I treatment.
Multi-Perspective Visualization to Assist Code Change Review

Change-based code review plays an important role in open-source project development. Due to the large amount of human involvement and tight time schedule, tools that can facilitate this activity would be of great help. Current tools mainly focus on difference extraction, code style examination, static analysis, comment and discussion, etc. However, there is little support to change impact analysis for code change review. In this paper, we serve this purpose by providing a change review assistance tool, namely, MultiViewer, for the most popular OSS GitHub. We define metrics to characterize code changes from multiple perspectives. Specifically, these metrics mine coupling relations among related files in the changes, as well as estimate the change effort, risk and impact. Such information is visualized by MultiViewer in two formats. We demonstrate the helpfulness of MultiViewer by showing its ability as indicators to some important project features with real-life case studies.
Randomised controlled trial of topical antibacterial Manuka (Leptospermum species) honey for evaporative dry eye due to meibomian gland dysfunction

The aim was to evaluate the efficacy of standardised Manuka (Leptospermum species) antibacterial honey as adjunctive twice daily treatment to conventional therapy (warm compresses, lid massage and preservative‐free lubricant), in participants with evaporative dry eye due to moderate to advanced meibomian gland dysfunction.
Between form and function: the complexity of genome folding

Abstract It has been known for over a century that chromatin is not randomly distributed within the nucleus. However, the question of how DNA is folded and the influence of such folding on nuclear processes remain topics of intensive current research. A longstanding, unanswered question is whether nuclear organization is simply a reflection of nuclear processes such as transcription and replication, or whether chromatin is folded by independent mechanisms and this per se encodes function? Evidence is emerging that both may be true. Here, using the α-globin gene cluster as an illustrative model, we provide an overview of the most recent insights into the layers of genome organization across different scales and how this relates to gene activity.
A topological review on recent improvements of three-phase impedance source inverter

Voltage source inverter (VSI) and current source inverter (CSI) have been used as the main power converters for many years. However (VSI) and (CSI) have a limited voltage gain. The growth of renewable energy usage increases the need to improve wide gain range power converters. Impedance source inverter (ZSI) has been introduced to limit the drawbacks of traditional inverters. (ZSI) has the ability of buck, boost and inversion in a single stage construction without increasing the number of active switches with the privilege of simple control methods. Nevertheless, (ZSI) suffers from many drawbacks such as high voltage stresses, non-linear relations and large size impedance network. Since it was introduced, many researchers have given their focus to improve (ZSI) by filling those gaps. In this paper a comprehensive survey of (ZSI) topology improvements for various applications is carried out with a discussion of the basic operation of (ZSI) and its PWM control methods.
Independent origins of diploidy in Metarhizium

Abstract In fungi, stable diploid genome arrangements are rare. Here we present evidence from nuclear intergenic DNA sequencing, microsatellite genotyping, and configuration of the mating-type locus to demonstrate two independent origins of persistent diploid genome organization in the Metarhizium majus species complex. Most taxa in the complex are genotypically haploid, with individual isolates consistently displaying a single allele across all nuclear loci, as well as having a single mating-type locus. In contrast, individuals of M. majus and the clade designated here MGT1 are shown to be diploid, based on a consistent finding of heterozygosity and the presence of both MAT1 and MAT2 mating-type loci. In single locus phylogenies, nuclear intergenic alleles of M. majus and MGT1 each form monophyletic groups, indicating that diploidy in both taxa likely originated by the union of conspecific individuals. Sequence divergence in the APN2/MAT1-1-3 and APN2/MAT2-1 intergenic spacers indicate the two MAT loci are physically separated in the genomes of both diploid taxa, although the linkage relationship of the MAT loci to one another is unknown. The presence of both mating genes in a single nucleus suggests these diploid genomes may represent a mating event that failed to complete meiosis. Whether or not these isolates are able to complete the sexual cycle under any conditions and form ascospores remains an open question.
Growth, hardness and laser damage threshold studies on vertical Bridgman grown piperine (PPN) single crystal

An organic piperine (PPN) single crystal was grown using vertical Bridgman technique. The diffraction planes have been indexed from powder X-ray diffraction analysis. Vickers microhardness studies were carried out on grown PPN crystal with various load ranging from 10 to 100 g. Reverse indentation size effect (RISE) is observed from the microhardness measurements. The meyer index value (n) was found to be greater than 1.6 which indicates the grown crystal belongs to soft-material category. The stiffness constant (C11) was computed using the Wooster’s empirical relation. Laser damage threshold studies have been carried out using Q-switched Nd: YAG laser. All the results are discussed in detail.
Integrated social media knowledge capture model in medical domain of Indonesia

The Social Media Platforms, as the one of largest part of today data traffic on the Internet, disseminate a vast volume of information, including medical information in it. Knowledge management system (KMS) approach is applied with a purpose to capture, maintain, and manage tacit or explicit knowledge available and collected within the social media platforms, organization's database, knowledge base, or document repository. By adding Indonesian Natural Language Processing (InaNLP) and Data Mining approach, our research proposed a model which is theoretically designed to improve the previous research related to social media knowledge capture model and enhance its accuracy and reliability of knowledge retrieved compared to previous knowledge capture model. Despite the proposed framework is still a theoretical model, it can be applied in medical sector of Indonesia as a big picture of medical knowledge capture model. This model mainly aimed for medical practitioner to give a quick suggestion of the diseases regarding to the early diagnose which has been taken in the first place.
Effects of Nanostructure and Coating on the Mechanics of Carbon Nanotube Arrays

Nanoscale materials are one of the few engineering materials that can be grown from the bottom up in a controlled manner. Here, the effects of nanostructure and nanoscale conformal coating on the mechanical behavior of vertically aligned carbon nanotube (CNT) arrays through experiments and simulation are systematically investigated. A modeling approach is developed and used to quantify the compressive strength and modulus of the CNT array under large deformation. The model accounts for the porous nanostructure, which contains multiple CNTs with random waviness, van der Waals interactions, fracture strain, contacts, and frictional forces. CNT array micropillars are grown and their porous nanostructure is controlled by the infiltration and deposition of thin conformal coatings using chemical vapor deposition. Flat‐punch nanoindentation experiments reveal significant changes in material properties as a function of coating thickness. The simulations explain the experimental results and show the novel failure transition regime that changes from collective CNT buckling toward structural collapse due to fracture. The compressive strength and the elastic modulus increase exponentially as a function of the coating thickness and demonstrate a unique dependency on the CNT waviness. More interestingly, a design rule is identified that predicts the optimum coating thickness for porous materials.
Assessing posttraumatic growth, complicated grief, and psychological distress in bereaved atheists and believers

ABSTRACT The present study examines how meaning and belief in God or god(s) is related to bereavement outcomes. Data from 299 participants residing in the United States indicated that the variables of search for meaning, presence of meaning, and belief in God or god(s) were significantly related to posttraumatic growth, complicated grief, and psychological distress. Results from this study can be used to identify appropriate clinical strategies for mental health practitioners working with bereaved clients and will expand the breadth of literature on bereavement with atheist populations in the United States.
Robustness of classifiers to uniform $\ell_p$ and Gaussian noise

We study the robustness of classifiers to various kinds of random noise models. In particular, we consider noise drawn uniformly from the $\ell\_p$ ball for $p \in [1, \infty]$ and Gaussian noise with an arbitrary covariance matrix. We characterize this robustness to random noise in terms of the distance to the decision boundary of the classifier. This analysis applies to linear classifiers as well as classifiers with locally approximately flat decision boundaries, a condition which is satisfied by state-of-the-art deep neural networks. The predicted robustness is verified experimentally.
Pulmonary fibrosis requires cell-autonomous mesenchymal fibroblast growth factor (FGF) signaling

Idiopathic pulmonary fibrosis (IPF) is characterized by progressive pulmonary scarring, decline in lung function, and often results in death within 3–5 five years after diagnosis. Fibroblast growth factor (FGF) signaling has been implicated in the pathogenesis of IPF; however, the mechanism through which FGF signaling contributes to pulmonary fibrosis remains unclear. We hypothesized that FGF receptor (FGFR) signaling in fibroblasts is required for the fibrotic response to bleomycin. To test this, mice with mesenchyme-specific tamoxifen-inducible inactivation of FGF receptors 1, 2, and 3 (Col1α2-CreER; TCKO mice) were lineage labeled and administered intratracheal bleomycin. Lungs were collected for histologic analysis, whole lung RNA and protein, and dissociated for flow cytometry and FACS. Bleomycin-treated Col1α2-CreER; TCKO mice have decreased pulmonary fibrosis, collagen production, and fewer α-smooth muscle actin-positive (αSMA+) myofibroblasts compared with controls. Freshly isolated Col1α2-CreER; TCKO mesenchymal cells from bleomycin-treated mice have decreased collagen expression compared with wild type mesenchymal cells. Furthermore, lineage labeled FGFR-deficient fibroblasts have decreased enrichment in fibrotic areas and decreased proliferation. These data identify a cell autonomous requirement for mesenchymal FGFR signaling in the development of pulmonary fibrosis, and for the enrichment of the Col1α2-CreER-positive (Col1α2+) mesenchymal lineage in fibrotic tissue following bleomycin exposure. We conclude that mesenchymal FGF signaling is required for the development of pulmonary fibrosis, and that therapeutic strategies aimed directly at mesenchymal FGF signaling could be beneficial in the treatment of IPF.
Clinical determinants and treatment gaps in familial hypercholesterolemia: Data from a multi-ethnic regional health service

Background Familial hypercholesterolemia is characterized by markedly increased low-density lipoprotein cholesterol and risk for premature atherosclerotic cardiovascular disease. Models of care vary and reflect differing health policies and resources. The availability of electronic databases may enable better identification and assessment of familial hypercholesterolemia in the community. Methods A regional healthcare database was utilized to identify patients with a high probability of familial hypercholesterolemia, clinically defined by age-dependent-peak low-density lipoprotein cholesterol cutoffs and exclusion of secondary causes of severe hypercholesterolemia. Clinical characteristics, low-density lipoprotein cholesterol goal attainment, and treatment gaps were investigated. Results Probable familial hypercholesterolemia was diagnosed in 1932 of 685,314 individuals (1:355; median age 47 years). Atherosclerotic cardiovascular disease was present in 16.3% of adults (38% in males aged 50–74 years). Median peak low-density lipoprotein cholesterol was 264 mg/dl (interquartile range 252–288). Statins and/or ezetimibe were prescribed to 83% of patients and high-intensity statins to 53%, whereas prescriptions were filled in 57% and 40% cases respectively over the last six months, p < 0.001. Treatment gaps were wider among ethnic minorities, younger individuals, and those without atherosclerotic cardiovascular disease. Low-density lipoprotein cholesterol < 100 mg/dl was attained in 10.1% overall and 28.7% of those with atherosclerotic cardiovascular disease. Predictors of low-density lipoprotein cholesterol goal attainment included recent issue of high-intensity statins, presence of atherosclerotic cardiovascular disease, diabetes, older age and lack of smoking. Conclusions The population with high probability for familial hypercholesterolemia was characterized by low attainment of low-density lipoprotein cholesterol treatment goals despite high prescription rates of lipid-lowering medications. Low utilization of intensified therapies, non-adherence, and ethnic disparities were contributing factors. These findings emphasize the need to improve awareness and quality of care of familial hypercholesterolemia in the community.
Detect the emotions of the public based on cascade neural network model

Along with the development of social network, more and more people know the world by reading news. The problem about what kind of emotion is inspired when people read news is very worthy of discussion. This paper will mix Deep Belief Networks (DBN) model and Support Vector Machine (SVM) to a hybrid neural network model by using the Contrast Divergence (CD) algorithm to estimate the weights when training a generating model, ensure that each layer of the Restricted Boltzmann Machine (RBM) mapping the features of the inputs to the best. At the same time, we cascade the last layer of DBN and a SVM classifier to adjust judging performance. And a set of tags will be attached to the top (Associative Memory), through a process of parameter tuning, learn the identifying weights to obtain a network for the task of text classification. The experimental results show that the hybrid neural network model works better than the traditional text categorization method based on simple characteristics (such as CHI), and it is more suitable for extracting text semantic characteristics.
Memories of Pain After Burn Injury—The Patient's Experience

Pain after burns is a major clinical problem and researchers continue to report that burn pain remains undertreated. Adequate pain management could contribute to the prevention of posttraumatic stress disorder and can give a growing sense of patients' self-confidence and strength. Freedom from pain might be unrealistic, but the objective should be to reduce pain as much as possible. The purpose of this study was to describe burn patients' experiences and memories of pain during burn care and to acquire a deeper understanding of how patients cope with the experience. The study method was qualitative and interviews were conducted with 12 adult burn patients (eight men and four women) 6 to 12 months postburn (mean = 7 months). The mean burn size for the group was 10.6% mean of TBSA and the mean stay in hospital was 16 days. The interviews were analyzed using Kvales' method for structuring analysis. The patients' experiences and memories of pain during the trajectory of care were clearly described by the informants during the interviews. Four themes were identified for pain: becoming aware of pain, allowing oneself to feel pain, different pain experiences, and fragile body surface. Four themes were identified for coping: pragmatic coping, allowing someone to care for you, carrying the pain, and perspectives on the trauma. Both good and bad memories were recorded during the care trajectory, and it is evident that the patient has to carry the pain experience by themselves to a large extent.