Miracle-dz/UniFAR-FTUs huggingface dataset:
Bloodstream Infections in Paediatric Cancer Patients with Febrile Neutropenia in a Tertiary Cancer Centre in North-East India

Background: The aim of the present study was to study the pattern of microbial flora, their susceptibility patterns, and clinical variables among bloodstream infections in febrile neutropenic patients with solid tumors and hematological malignancies in the paediatric age group in North-East India. Methods: It was a retrospective and observational study done in a single tertiary care cancer centre in North-East India. The study period was from 1st January 2020 to 31st December 2021. The study population included all the patients below the age of 18 years who developed febrile neutropenia during treatment for a diagnosed cancer. Results: A total of 378 blood culture samples were studied. Febrile neutropenia was found in 252 patients (66.7%). There were 45 positive blood cultures (17.8%) among them. Gram-negative and gram-positive organisms accounted for 62% and 38% of all positive cultures respectively. Escherichia coli (39%) was the most common gram-negative isolate, followed by Klebsiella pneumoniae (32%), Pseudomonas aeruginosa (18%) and Acinetobacter baumannii (7%). Coagulase-negative Staphylococci (CoNS) was the most common gram-positive isolate (47%). Sensitivity to beta-lactam/beta-lactamase inhibitor (BL/BLI) antibiotics like cefaperazone/sulbactam was seen in 60% of Pseudomonas isolates. Sensitivity to colistin was noted in 89% of Klebsiella and 82% of E. coli isolates. The incidence of methicillin resistant staphylococcus aureus (MRSA) was 50%. Conclusion: The knowledge of the microbiological profile and resistance patterns among patients treated for paediatric cancer with febrile neutropenia is a key factor in deciding the antimicrobial policy.
Evaluating post-fire vegetation regrowth in Brazil’s Chapada Diamantina National Park using remote sensing

: Understanding fire dynamics in vegetation is essential for assessing the impacts caused by wildfire action, especially because biomass burning in ecosystems has been indicated as one of the main factors that impact climate and biodiversity. A current alternative to detecting fire via satellite data is cloud processing platforms such as Google Earth Engine (GEE). Given this context, this work aims to assess the degree of vegetation regrowth after a wildfire in an area included in the Chapada Diamantina National Park (Bahia - Brazil) based on applying the Normalized Burn Ratio (NBR) in Landsat Surface Reflectance Tier 1 data sets. The images were accessed and processed on the GEE platform. The NBR index was more sensitive to the pre-and post-fire displacements of the pixels affected by the fires between the Landsat NIR and SWIR image bands. We found that the NBR mean values decreased immediately after the fire occurrence in the entire study area. Then, following the wildfire, the NBR mean values returned to conditions similar to those that preceded the fire. We can conclude that the plant biomass had already recovered considerably nine months after the fire when checking the NBR values. Therefore, this study points out the need to better understand the wildfire
International Journal of Public Health Science (IJPHS)

Alka Sabharwal, Babita Goyal, Vibha S. Chauhan, Lalit Mohan Joshi, Vaibhav Goyal Department of Statistics, Kirori Mal College, University of Delhi, Delhi, India Department of Statistics, Ramjas College, University of Delhi, Delhi, India Kirori Mal College, University of Delhi, Delhi, India Department of Statistics, University of Delhi, Delhi, India Department of Economics, School of Undergraduate Studies, Ambedkar University, Delhi, India
Polarization detection of ultraviolet light using ZnO microwires

Abstract. Detectors with cost-effective, polarization-sensitive, and integrative functionalities are required for next-generation ultraviolet (UV) detection systems. Low-dimensional semiconductor materials have potential for optical device applications, especially polarization detection, because of their excellent polarization characteristics. Therefore, ultralong ZnO microwires, ∼0.5 to 1 cm long, were prepared using the chemical vapor-phase epitaxy method, making it easy to build photoelectric devices. The emission polarization of the ZnO microwires excited by circularly polarized light was ∼0.60, indicating a high-anisotropy optical property. Their UV-polarization spectrum and photoelectric detection were determined. When the ZnO microwire was excited by linearly polarized UV light, the intensity of photoluminescence (PL) changed periodically with the polarization direction of the UV light. The PL polarization of the ZnO microwire for linear UV detection was ∼0.12. For a ZnO microwires photoelectric device, the photocurrent anisotropy ratio reached 1.28 when the polarization angle of the incident UV light changed. These results suggest that the obtained ultralong ZnO microwires have the potential for application in future UV-polarization detection systems.
Comparison of GNSS-, TLS- and Different Altitude UAV-Generated Datasets on the Basis of Spatial Differences

In this study, different in-situ and close-range sensing surveying techniques were compared based on the spatial differences of the resultant datasets. In this context, the DJI Phantom 3 Advanced and Trimble UX5 Unmanned Aerial Vehicle (UAV) platforms, Zoller + Fröhlich 5010C phase comparison for continuous wave-based Terrestrial Laser Scanning (TLS) system and Network Real Time Kinematic (NRTK) Global Navigation Satellite System (GNSS) receiver were used to obtain the horizontal and vertical information about the study area. All data were collected in a gently (mean slope angle 4%) inclined, flat vegetation-free, bare-earth valley bottom near Istanbul, Turkey (the size is approximately 0.7 ha). UAV data acquisitions were performed at 25-, 50-, 120-m (with DJI Phantom 3 Advanced) and 350-m (with Trimble UX5) flight altitudes (above ground level, AGL). The imagery was processed with the state-of-the-art SfM (Structure-from-Motion) photogrammetry software. The ortho-mosaics and digital elevation models were generated from UAV-based photogrammetric and TLS-based data. GNSS- and TLS-based data were used as reference to calculate the accuracy of the UAV-based geodata. The UAV-results were assessed in 1D (points), 2D (areas) and 3D (volumes) based on the horizontal (X- and Y-directions) and vertical (Z-direction) differences. Various error measures, including the RMSE (Root Mean Square Error), ME (Mean Error) or MAE (Mean Average Error), and simple descriptive statistics were used to calculate the residuals. The comparison of the results is simplified by applying a normalization procedure commonly used in multi-criteria-decision-making analysis or visualizing offset. According to the results, low-altitude (25 and 50 m AGL) flights feature higher accuracy in the horizontal dimension (e.g., mean errors of 0.085 and 0.064 m, respectively) but lower accuracy in the Z-dimension (e.g., false positive volumes of 2402 and 1160 m³, respectively) compared to the higher-altitude flights (i.e., 120 and 350 m AGL). The accuracy difference with regard to the observed terrain heights are particularly striking, depending on the compared error measure, up to a factor of 40 (i.e., false positive values for 120 vs. 50 m AGL). This error is attributed to the “doming-effect”—a broad-scale systematic deformation of the reconstructed terrain surface, which is commonly known in SfM photogrammetry and results from inaccuracies in modeling the radial distortion of the camera lens. Within the scope of the study, the “doming-effect” was modeled as a functional surface by using the spatial differences and the results were indicated that the “doming-effect” increases inversely proportional to the flight altitude.
ScholarWorks@BGSU ScholarWorks@BGSU

: Design professionals need to acquire competencies ininterdisciplinary, collaborative design practice. Proceeding from this assumption, this paper analyses a case study of a joint project between an architecture studio at Bowling Green State University and a planning seminar at the University of Toledo. Students working in extramural teams developed proposals for the revitalisation of a plaza in Toledo, an historic city in Ohio. The plaza, which in architectural terms represents a blend of Gilded-Age finery, high-order contemporary work and stretches of decay, is in the process of slow regeneration. The main goals were: 1) pedagogical - to enhance the students' learning experiences by providing them with the opportunity to work in interdisciplinary teams; and 2) research-orientated - to examine the differences, if any, in design approaches between the architectural and the planning students. Summary outcomes include an enhanced understanding of the architectural-planning differences and a greater appreciation of the potential for mutual learning.
A Comparative Study of Chemical Profiling and Bioactivities between Thai and Foreign Hemp Seed Species (Cannabis sativa L.) Plus an In-Silico Investigation

Hemp (Cannabis sativa L.) is a plant widely used by humans for textiles, food, and medicine. Thus, this study aimed to characterize the chemical profiling of 12 hemp seed extracts from Thai (HS-TH) and foreign (HS-FS) samples using gas chromatography-mass spectrometry (GC–MS). Their antibacterial activity and α-glucosidase inhibitory activity were assayed. Linoleic acid (17.63–86.53%) was a major component presented in Thai hemp seed extracts, while α,β-gluco-octonic acid lactone (30.39%), clionasterol (13.42–29.07%), and glyceryl-linoleate (15.12%) were detected as the main metabolites found in foreign hemp seed extracts. Furthermore, eight extracts from both Thai and foreign hemp seed exhibited antibacterial activity against Staphylococcus aureus, Staphylococcus epidermidis, Methicillin-resistant Staphylococcus aureus, and Cutibacterium acnes, with MIC values ranging from 128 to 2048 µg/mL. Interestingly, the ethanol extract of Thai hemp seed (HS-TH-2-M-E) showed superior α-glucosidase inhibition (IC50 value of 33.27 ug/mL) over foreign species. The combination between Thai hemp species (HS-TH-2-M-E) and acarbose showed a synergistic effect against α-glucosidase. Furthermore, the docking investigation revealed that fatty acids had a greater impact on α-glucosidase than fatty acid esters and cannabinoids. The computational simulation predicts a potential allosteric binding pocket of guanosine on glucosidase and is the first description of gluco-octonic acid’s anti-glucosidase activity in silico. The findings concluded that Thai hemp seed could be used as a resource for supplemental drugs or dietary therapy for diabetes mellitus.
Canal transportation and instrumentation time efficacy of pediatric rotary files with or without glide path

randomly assigned to one of five experimental groups (n = 10): Group K is a K-type hand file (control), group P is a Kiddy files rotary system, group OP is a One G glide path file and a Kiddy files rotary system, group F is an AF baby tooth file (AFB) rotary system, and group OF is a One G glide path file and an AFB rotary system. The instrumentation time was recorded after preparing simulated canals. Image J software was used to calculate canal transportation at various canal levels. Results: The group K had the longest preparation period (p < 0.05) and the greatest apical transportation scores (0.35 ± 0.23). It was followed by groups F (0.18 ± 0.26), OF (0.03 ± 0.09), OP (0.03 ± 0.03), and P (0.02 ± 0.01). The difference between the K and P groups, the K and OP groups, and the F and P groups was statistically significant (p < 0.05). Conclusion: Using a glide path during canal preparation by rotary systems could reduce procedural errors. For root canal preparation, Kiddy files with or without a glide path may be advised.
EXAMINING GENDER MICROAGGRESSIONS IN ACADEMIC SETTINGS: AN ANALYSIS OF TYPES AND FACTORS CONTRIBUTING TO GENDER INEQUALITY AMONG TEACHERS IN SCHOOLS

This study aims to develop a scale to analyze the causes of most of the occurrence of gender bias behavior caused by microaggressions and identify what forms of gender bias are carried out by perpetrators of microaggressions against recipients. This type of research is a descriptive quantitative research. The population in this study were elementary school teachers in Makassar City. The sampling technique in this study used simple random sampling. The sample in this study was 100 elementary school teachers. The technique of collecting data in this study uses 1) The Gendered Racial Microaggressions Scale (GRMS) instrument; 2) Instruments for microaggression factors that have been tested through Confirmatory Factor Analysis (CFA) are declared feasible. Data analysis techniques used descriptive statistical tests and Structural Equation Modeling (SEM). The results showed that: (1) The most common form of microaggression is microaggression caused by gender bias, especially aspects of stereotypes and concern for certain genders. In addition, microaggression is caused by two factors, namely internal (cultural awareness) and external factors (colleagues, family culture and social media). Based on the findings obtained, it is necessary to optimize gender awareness in basic education units through education, positive family education patterns from an early age, and curved use of social media.
Association of Variants in Innate Immune Genes TLR4 and TLR5 with Reproductive and Milk Production Traits in Czech Simmental Cattle

Bovine genes TLR4 and TLR5, which encode antibacterial toll-like receptors, were screened for polymorphisms in Czech Red Pied (Czech Simmental) cattle to identify variants associated with reproduction, udder health, and milk production traits. Variants were discovered by hybrid resequencing of 164 bulls using HiSeq X-Ten and PacBio technologies and then individually genotyped. Nominal p-values < 0.05 for associations were detected in 18 combinations between 14 polymorphisms and 15 traits using one-way analysis of variance (ANOVA). The TLR4 variants g.610C>T (rs43578094) and g.10310T>G (rs8193072) in reference AC000135.1 were strictly associated with the index of early reproductive disorders and maternal calving ease, respectively, at false discovery rate (FDR) < 0.05. A highly permissive false discovery rate cutoff of 0.6 separated seventeen combinations in both genes comprising eight positives. In the case of the TLR4 variant g.9422T>C (rs8193060), indications were obtained for the association with as many as four reproductive traits: incidence of cystic ovaries, early reproductive disorders, calving ease, and production longevity. The permissive FDR interpretation for the TLR5 data indicated associations with cyst incidence and early reproduction disorders with maternal calving ease. Moreover, three TLR5 polymorphisms correlated with milk production traits. The discrepancy of the observed associations with the predicted impacts of the SNPs on protein function points to the role of haplotypes. Nevertheless, this question should be resolved on a larger scale. The observed associations are endorsed by independent evidence from the published functional roles in other species and by the published QTL mapping data.
EDGE-Net: an edge-guided enhanced network for RGB-T salient object detection

Abstract. With similar textures, dark backgrounds, and complex scenes, RGB images are usually unable to provide discriminative information for model training, which often leads to inaccurate prediction results. Compared with RGB salient object detection (SOD) methods, RGB-T SOD have thermal infrared (TIR) information as an informational supplement. As a result, RGB-T SOD can adapt to more complex environments and achieve better results. However, existing methods do not efficiently integrate features between different modalities and do not fully exploit spatial information from the shallow-level features. Accordingly, we propose an EDGE-Net. First, we propose an edge extraction module to capture the edge information in the shallow-level features and use it to guide the subsequent decoding. The original edge features are then weighted after channel attention processing. Second, to additionally suppress the noise of the shallow-level features, we design a global information extraction module. In this module, multiple convolutions are used instead of single convolutions to reduce the computational effort, and convolutions with different dilation rates are used to obtain different receptive fields. We conduct extensive experiments on the RGB-T dataset and show that the proposed method achieves superior performance compared to several state-of-the-art algorithms. The code and results of our method are available in a Github repository available at: https://github.com/BorreloadD/EDGE-Net.git.
Has canopy height and biomass recovered 78 years after an intense fire in south-western Australia’s red tingle (Eucalyptus jacksonii) forests?

Tall eucalypt old-growth forests are notable for their large, old (i.e. venerable) trees and have both significant conservation value and high carbon stores. We investigated whether canopy height and biomass had recovered in an old-growth red tingle (Eucalyptus jacksonii) forest 78 years after a high-intensity fire. We recorded species, diameter, hollow butting and height of all 596 trees >10-cm diameter at breast height, as well as fine and coarse woody debris, in a 3.55-ha plot near Nornalup, south-western Australia. Pre-fire canopy height was estimated by allometrics derived from tree height and diameter, and diameter and length of recently fallen branches. Of the basal area (75.0 m2 ha–1), 92.7% was eucalypt (chiefly E. jacksonii), with regeneration accounting for only 8.5% of the total. Although canopy species composition apparently did not change following fire, stand height and biomass had not recovered to pre-1937 levels by 2015. Canopy height remained 5.06 m (11%) less and biomass 25% less, 78 years after the fire. The combination of intense fire and a warmer, drier climate appears to have prevented recovery of forest height and structure at this site. These findings indicate that ecologically important, venerable trees are increasingly vulnerable to canopy fire and climate change.
New constraints on metamorphism in the Highjump Archipelago, East Antarctica

Abstract The age and conditions of metamorphism in the Highjump Archipelago, East Antarctica, are investigated using samples collected during the 1986 Australian Antarctic expedition to the Bunger Hills–Denman Glacier region. In situ U-Pb dating of monazite from three metasedimentary rocks yields ages between c. 1240–1150 Ma and a weighted mean 207Pb/206Pb age of 1183±8 Ma, consistent with previous constraints on the timing of metamorphism in this region and Stage 2 of the Albany–Fraser Orogeny in south-western Australia. This age is interpreted to date the development of garnet ± sillimanite ± rutile-bearing assemblages that formed at c. 850–950°C and 6–9 kbar. Peak granulite facies metamorphism was followed by decompression, evidenced largely by the partial replacement of garnet by cordierite. These new pressure–temperature determinations suggest that the Highjump Archipelago attained slightly higher temperature and pressure conditions than previously proposed and that the rocks probably experienced a clockwise pressure–temperature evolution.
Three-Dimensional Analysis of the Cranial Base Structure in Patients with Facial Asymmetry

Facial asymmetry is often seen in patients with skeletal mandibular prognathism and is associated with deformities in the maxillofacial and head regions. The maxillofacial deviation is three-dimensional and affects not only the lateral deviation of the mandible and midface, but also the cranium. This study conducted a three-dimensional morphological evaluation of the cranial base morphology of patients with skeletal mandibular prognathism (ANB < 0°, Wits < 0 mm) with the aim of examining the relationship between deformities of the head region and facial asymmetry. Data obtained from computed tomography conducted during the initial examination of patients with and without skeletal mandibular prognathism with facial asymmetry were used. Differences in the position of structures present in the cranial base were measured, and the association between cranial deformities and mandibular deviation was assessed. The middle cranial base area and the lateral deviation of the mandibular fossa were significantly larger in patients with facial asymmetry compared to those without facial asymmetry. In addition, a correlation between the amount of mandibular deviation and the area of the anterior cranial base was identified in patients with significant cranial deformity (p = 0.012). Given the identified association between the structure of the head region and facial asymmetry, further studies are needed to determine the factors implicated in the growth process.
INSTITUTIONAL RESILIENCE ALONG THE MISSISSIPPI GULF COAST IN THE CONTEXT OF PRE- AND POST-HURRICANE KATRINA

v List of Tables x List of Figures xiii CHAPTER 1: INTRODUCTION 1 1.1 Research Goals and Contributions 2 1.2 Research Questions 3 CHAPTER 2: LITERATURE REVIEW 4 2.1 Conceptualizing Disaster Resilience 4 2.2 Disaster Resilience at the Community Level 6 2.3 Roles of Institutions in Building Resilience 15 2.4 Summary 20 CHAPTER 3: BACKGROUND AND STUDY AREA 21 3.1 Background: Baseline Resilience Indicators for Communities (BRIC) Index 21 3.2 BRIC Institutional Resilience (IR) Indicators 22 3.3 Study Area 24 3.4 Summary 26 CHAPTER 4: METHODOLOGY AND RESULTS FOR QUESTION #1 27
Green Synthesized Silver Nanoparticles Loaded in Polysaccharide Hydrogel Applied to Chronic Wound Healing in Mice Models

The prevalence of chronic wounds is increasing owing to the expanding population and the growing number of individuals suffering from diabetes. Such a chronic wound continues to be a significant healthcare burden for diabetic patients because it frequently carries a high chance of limb loss due to amputation and reduces survival as a result. Development of innovative wound dressing materials with the potential to stop bacterial infections and accelerate the process of tissue regeneration is needed to increase the effectiveness of diabetic wound healing. In the current study, a co-polymerization process based on a free radical reaction was used to create a hydrogel of polysaccharides blend graft acrylamide (PsB-g-Am). Starch, chitosan, and alginate make up the polysaccharides blend (PsB). The produced hydrogel’s structure was characterized using FTIR spectroscopy. The antibacterial activities of silver nanoparticles synthesized through the green method using garlic bulb (Allium sativum) is reported. The silver nanoparticles’ physical characteristics were examined using scanning electron microscopy, transmission electron microscopy analysis, and UV-visible spectroscopy and they were found to range in size from 50 to 100 nm. The agar well diffusion technique is used to investigate the antibacterial characteristics. Inclusion of silver nanoparticles in the hydrogels demonstrated concentration-dependent antibacterial behavior against Gram-negative Klebsiella pneumoniae and Gram-positive Staphylococcus aureus during antimicrobial testing of the hydrogels. When hydrogels were applied to diabetic mice, the system was examined for its healing abilities, and positive therapeutic results were obtained in as little as 14 days. Thus, it can be inferred that graft copolymer of chitosan-AgNPs hydrogels can promote healing in chronic wounds over time and can be utilized as an alternative to conventional therapies for chronic wounds (such as those brought on by diabetes) in mouse models.