Miracle-dz/UniFAR-FTUs huggingface dataset:
Satellite Monitoring of Mass Changes and Ground Subsidence in Sudan's Oil Fields Using GRACE and Sentinel-1 Data

Monitoring environmental hazards, owing to natural and anthropogenic causes, is an important issue, which requires proper data, models, and cross-validation of the results. The geodetic satellite missions, for example, the Gravity Recovery and Climate Experiment (GRACE) and Sentinel-1, are very useful in this respect. GRACE missions are dedicated to modeling the temporal variations of the Earth’s gravity field and mass transportation in the Earth’s surface, whereas Sentinel-1 collects synthetic aperture radar (SAR) data, which enables us to measure the ground movements accurately. Extraction of large volumes of water and oil decreases the reservoir pressure and form compaction and, consequently, land subsidence occurs, which can be analyzed by both GRACE and Sentinel-1 data. In this paper, large-scale groundwater storage (GWS) changes are studied using the GRACE monthly gravity field models together with different hydrological models over the major oil reservoirs in Sudan, that is, Heglig, Bamboo, Neem, Diffra, and Unity-area oil fields. Then, we correlate the results with the available oil wells production data for the period of 2003–2012. In addition, using the only freely available Sentinel-1 data, collected between November 2015 and April 2019, the ground surface deformation associated with this oil and water depletion is studied. Owing to the lack of terrestrial geodetic monitoring data in Sudan, the use of GRACE and Sentinel-1 satellite data is very valuable to monitor water and oil storage changes and their associated land subsidence over our region of interest. Our results show that there is a significant correlation between the GRACE-based GWS anomalies (ΔGWS) and extracted oil and water volumes. The trend of ΔGWS changes due to water and oil depletion ranged from –18.5 ± 6.3 to –6.2 ± 1.3 mm/year using the CSR GRACE monthly solutions and the best tested hydrological model in this study. Moreover, our Sentinel-1 SAR data analysis using the persistent scatterer interferometry (PSI) method shows a high rate of subsidence, that is, –24.5 ± 0.85, –23.8 ± 0.96, –14.2 ± 0.85, and –6 ± 0.88 mm/year over Heglig, Neem, Diffra, and Unity-area oil fields, respectively. The results of this study can help us to control the integrity and safety of operations and infrastructure in that region, as well as to study the groundwater/oil storage behavior.
Remotely Sensing the Source and Transport of Marine Plastic Debris in Bay Islands of Honduras (Caribbean Sea)

Plastic debris in the global ocean is considered an important issue with severe implications for human health and marine ecosystems. Here, we exploited high-resolution multispectral satellite observations over the Bay Islands and Gulf of Honduras, for the period 2014-2019, to investigate the capability of satellite sensors in detecting marine plastic debris. We verified findings with in situ data, recorded the spectral characteristics of floating plastic litter, and identified plastic debris trajectories and sources. The results showed that plastic debris originating from Guatemala’s and Honduras’ rivers (such as Motagua, Ulua, Cangrejal, Tinto and Aguan) ends up in the Caribbean Sea, mainly during the period of August to March, which includes the main rainfall season. The detected spatial trajectories indicated that floating plastic debris travels with an average speed of 6 km d−1, following primarily a southwest (SW) to northeast (NE) direction, driven by the prevailing sea surface currents. Based on several satellite observations, there is no indication of a specific accumulation point, since plastic debris is dispersed by the dynamic circulation in the broader region. Our findings provide evidence that satellite remote sensing is a valuable, cost-effective tool for monitoring the sources and pathways of plastic debris in marine ecosystems, and thus could eventually support management strategies in the global ocean.
Quad-Polarimetric Multi-Scale Analysis of Icebergs in ALOS-2 SAR Data: A Comparison between Icebergs in West and East Greenland

Icebergs are ocean hazards which require extensive monitoring. Synthetic Aperture Radar (SAR) satellites can help with this, however, SAR backscattering is strongly influenced by the properties of icebergs, together with meteorological and environmental conditions. In this work, we used five images of quad-pol ALOS-2/PALSAR-2 SAR data to analyse 1332 icebergs in five locations in west and east Greenland. We investigate the backscatter and polarimetric behaviour, by using several observables and decompositions such as the Cloude–Pottier eigenvalue/eigenvector and Yamaguchi model-based decompositions. Our results show that those icebergs can contain a variety of scattering mechanisms at L-band. However, the most common scattering mechanism for icebergs is surface scattering, with the second most dominant volume scattering (or more generally, clouds of dipoles). In some cases, we observed a double bounce dominance, but this is not as common. Interestingly, we identified that different locations (e.g., glaciers) produce icebergs with different polarimetric characteristics. We also performed a multi-scale analysis using boxcar 5 × 5 and 11 × 11 window sizes and this revealed that depending on locations (and therefore, characteristics) icebergs can be a collection of strong scatterers that are packed in a denser or less dense way. This gives hope for using quad-pol polarimetry to provide some iceberg classifications in the future.
Examining the Utility of Visible Near-Infrared and Optical Remote Sensing for the Early Detection of Rapid 'Ōhi'a Death

The early detection of plant pathogens at the landscape scale holds great promise for better managing forest ecosystem threats. In Hawai‘i, two recently described fungal species are responsible for increasingly widespread mortality in ‘ōhi‘a Metrosideros polymorpha, a foundational tree species in Hawaiian native forests. In this study, we share work from repeat laboratory and field measurements to determine if visible near-infrared and optical remote sensing can detect pre-symptomatic trees infected with these pathogens. After generating a dense time series of laboratory spectral reflectance data and red green blue (RGB) images for inoculated ‘ōhi‘a seedlings, seedlings subjected to extreme drought, and control plants, we found few obvious spectral indicators that could be used for reliable pre-symptomatic detection in the inoculated seedlings, which quickly experienced complete and total wilting following stress onset. In the field, we found similar results when we collected repeat multispectral and RGB imagery over inoculated mature trees (sudden onset of symptoms with little advance warning). We found selected vegetation indices to be reliable indicators for detecting non-specific stress in ‘ōhi‘a trees, but never providing more than five days prior warning relative to visual detection in the laboratory trials. Finally, we generated a sequence of linear support vector machine classification models from the laboratory data at time steps ranging from pre-treatment to late-stage stress. Overall classification accuracies increased with stress stage maturity, but poor model performance prior to stress onset and the sudden onset of symptoms in infected trees suggest that early detection of rapid ‘ōhi‘a death over timescales helpful for land managers remains a challenge.
Modelling Crop Biomass from Synthetic Remote Sensing Time Series: Example for the DEMMIN Test Site, Germany

This study compares the performance of the five widely used crop growth models (CGMs): World Food Studies (WOFOST), Coalition for Environmentally Responsible Economies (CERES)-Wheat, AquaCrop, cropping systems simulation model (CropSyst), and the semi-empiric light use efficiency approach (LUE) for the prediction of winter wheat biomass on the Durable Environmental Multidisciplinary Monitoring Information Network (DEMMIN) test site, Germany. The study focuses on the use of remote sensing (RS) data, acquired in 2015, in CGMs, as they offer spatial information on the actual conditions of the vegetation. Along with this, the study investigates the data fusion of Landsat (30 m) and Moderate Resolution Imaging Spectroradiometer (MODIS) (500 m) data using the spatial and temporal reflectance adaptive reflectance fusion model (STARFM) fusion algorithm. These synthetic RS data offer a 30-m spatial and one-day temporal resolution. The dataset therefore provides the necessary information to run CGMs and it is possible to examine the fine-scale spatial and temporal changes in crop phenology for specific fields, or sub sections of them, and to monitor crop growth daily, considering the impact of daily climate variability. The analysis includes a detailed comparison of the simulated and measured crop biomass. The modelled crop biomass using synthetic RS data is compared to the model outputs using the original MODIS time series as well. On comparison with the MODIS product, the study finds the performance of CGMs more reliable, precise, and significant with synthetic time series. Using synthetic RS data, the models AquaCrop and LUE, in contrast to other models, simulate the winter wheat biomass best, with an output of high R2 (>0.82), low RMSE (<600 g/m2) and significant p-value (<0.05) during the study period. However, inputting MODIS data makes the models underperform, with low R2 (<0.68) and high RMSE (>600 g/m2). The study shows that the models requiring fewer input parameters (AquaCrop and LUE) to simulate crop biomass are highly applicable and precise. At the same time, they are easier to implement than models, which need more input parameters (WOFOST and CERES-Wheat).
Deep Learning Based Electric Pylon Detection in Remote Sensing Images

The working condition of power network can significantly influence urban development. Among all the power facilities, electric pylon has an important effect on the normal operation of electricity supply. Therefore, the work status of electric pylons requires continuous and real-time monitoring. Considering the low efficiency of manual detection, we propose to utilize deep learning methods for electric pylon detection in high-resolution remote sensing images in this paper. To verify the effectiveness of electric pylon detection methods based on deep learning, we tested and compared the comprehensive performance of 10 state-of-the-art deep-learning-based detectors with different characteristics. Extensive experiments were carried out on a self-made dataset containing 1500 images. Moreover, 50 relatively complicated images were selected from the dataset to test and evaluate the adaptability to actual complex situations and resolution variations. Experimental results show the feasibility of applying deep learning methods to electric pylon detection. The comparative analysis can provide reference for the selection of specific deep learning model in actual electric pylon detection task.
Seismic lines CROP-ECORS across the Western Alps

This was the first plan in Italy for deep crust reflection seismic data, acquired across the Western Alpine chain following the invitation for a joint venture from the group ECORS-France. The Italian share was founded by CNR (National Research Council), included in a “Strategic Project”, with a contribution of ENEA (Alternative Energies National Agency), but the project remained under the umbrella of the newly established CROP Syndicate (Progetto Crosta Profonda), including at that time the following partners: AGIP (the National Oil Company), CNR, ENEA and ENEL (National Electricity Board). This was a significant opportunity to gain experience in the programme preparation, definition of the data acquisition procedures, of the data processing, data interpretation and in the presentation of the scientific results. The effort was done within an international working team where geological and geophysical expertise, with members of various academic and industrial backgrounds, was present and this factual international cooperation represents an unsurpassed model. The most important choices regard the updated prospection techniques with a combination of dynamite and vibroseis seismic sources, the employment of helicopters for drilling and recording in high mountain rugged terrains, the crucial wideangle experiment and the complementary gravimetric and magnetic surveys. The scientific results of this first profile across the Alpine chain have moved the attention of the scientists and primarily of the Alpine geologists.
Characteristics and competencies of teachers of gifted learners: The Hong Kong teacher perspective

Fifty Hong Kong Chinese teachers rated the importance of 25 characteristics and 14 competencies for teachers of gifted learners. While all 39 characteristics and competencies were endorsed as important, the characteristics classified as philosophical ideals were rated most important, followed by characteristics related to professional predispositions. Personal attributes were rated least important. Regarding competencies, specific skills related to identifying, teaching, and counseling gifted learners were rated more important than global strategies. While the selection of teachers of gifted learners might proceed with selecting teachers with the desirable characteristics to meet the needs of gifted learners, the present findings indicated that the development of philosophical, professional, and personal characteristics conducive to effective teaching should not be neglected in teacher preparation programs. Further, desirable skills and competencies that teachers require to teach the gifted well could be made the objectives, goals, and outcomes of teacher preparation programs for teachers of gifted learners. It is believed that the development of teacher preparation programs for teachers of gifted learners in Hong Kong and elsewhere might benefit from integrating Chinese thinking with Western empirically supported findings on the characteristics and competencies of teachers of gifted learners.
Mathematical Talent in Braille Code Pattern Finding and Invention

The recognition of patterns and creativity are two characteristics associated with mathematical talent. In this study, we analyzed these characteristics in a group of 37 mathematically talented students. The students were asked to find the pattern the Braille code had been built upon and reinvent it with the aim of making its mathematical language become more functional. Initially, the students were unable to identify the formation pattern of Braille, but after experiencing the difficulties that blind people face when reading it, they recognized the generating element and the regularity. The results were in contrast with those of a control group, and it is noted that the students with mathematical talent were more effective in using visualization to identify the regularity of the pattern and their invention proposals were more sophisticated and used less conventional mathematical content.
Intimate patient examinations: The awareness, acceptance and practice preference of transvaginal ultrasound scan among women in a South-southern State of Nigeria

Background: Transvaginal ultrasound scan (TVS) is a relatively new routine intimate examination in Nigeria carried out only in fertility clinics, specialist radio-diagnostic centres and a few public hospitals. It is a procedure, which many patients find intrusive and may result in anxiety. The gender of the practitioner and the presence of a third person in the room may influence patient's acceptance to undergo the procedure. Centres offering this service do not routinely ask for the patient's opinion, which negates the patient-centred care principle. The aim of this study is to assess women's awareness, acceptance and practice preference of TVS to get their opinion about the preferred gender of sonologist and presence of a third person during the procedure in comparison to other intimate examinations. Materials and Methods: It is a questionnaire-based prospective survey involving women referred for various indications to the radiology department of a Navy Hospital in south-southern Nigeria for 1 month. Results: We recruited 204 women. Although only 20.6% knew about TVS, 98.5% accepted to undergo TVS. Forty-six percent were indifferent about the gender of the sonologist, while 45% and 9% preferred a female and a male, respectively. About 50.3% wanted a third person in the room during the TVS and majority preferred their husbands (44.7%) to a chaperone (35.8%). Conclusion: The awareness of TVS is low, but it enjoys wide acceptance. Patient's preference for practitioner's gender and chaperone use are variable similar to findings from other intimate examinations, so consent should be sought before the procedure.
Epidemiology of obesity and its related morbidities among rural population attending a primary health centre of Odisha, India

Context: Overweight and obesity has become a major contributor to global burden of chronic diseases and disability. Obesity among rural India is emerging as a major health problem because of change in lifestyle and food habits, thereby increases the risk of multiple morbid conditions among rural population. Aims: This study aims to find out the association of overweight/obesity with different socio-demographic factors and explore the co-morbidities among overweight and obese in a rural setting. Settings and Design: A cross-sectional study was done in a randomly selected primary health centre of Khurda district, Odisha for 4 months. Materials and Methods: This study was done among 183 patients aged >20 years with BMI >25 kg/m2 after taking their consent. Anthropometric measurements were done and data were collected using a semi-structured questionnaire. Statistical Analysis Used: Descriptive statistics such as proportion, mean and standard deviation were calculated and inferential statistics such as Chi-square test, univariate and multivariate regression was done using the SPSS version 20.0. Results: Mean age of participants was 45.7 (±13.8) years. About 93.4% were Grade II obese while 51.9% were at risk according to their waist–hip ratio. Around 53.6% of participants had multi-morbidity. Age, occupation and number of children were significantly associated with obesity. Morbidity was significantly associated with age, occupation, marital status and number of children. Increased grade in obesity the more is the probability of having morbidity. Conclusions: There is an urgent need to screen for obesity at rural health facility and early management for prevention from co-morbidities.
Changes and Significance of SYP and GAP-43 Expression in the Hippocampus of CIH Rats

Synaptophysin (SYP) and growth-associated binding protein 43 (GAP-43) have been shown to be closely related to hippocampal synaptic plasticity in recent years. They are important molecular markers associated with synaptic plasticity. However, the role of SYP and GAP-43 in chronic intermittent hypoxic injury of the central nervous system needs to be further clarified. In this study, 25 adult male sprague dawley (SD) rats were randomly divided into a normal control group (CON) and a chronic intermittent hypoxia group (CIH) with four time points as follows: 1 W, 2 W, 3 W, and 4 W. The behavioural changes (primarily learning and memory abilities) were observed by the Morris water maze in each group, consisting of 5 rats per group.The localization of SYP and GAP-43 in hippocampal CA1 neurons was observed, and the expression of SYP and GAP-43 in the hippocampus was detected by Western blotting. The results showed that the mean oxygen saturation of the tail artery in CIH rats was less than that in normal rats (P < 0.05). The escape latency of CIH rats was longer than that of normal rats, and the number of space exploration platform crossings was less than that of normal rats. SYP-positive stained cells were yellow or brown and were mainly expressed on the cell membrane, while the GAP-43-positive staining was brown and was mainly expressed on the cell membrane and in the cytoplasm. The expression of SYP in plasma decreased gradually at the four time points for the CIH group (P < 0.05), while the expression of GAP-43 in the CIH 1W group increased (P < 0.05) and decreased gradually in the CIH 2 W, CIH 3 W and CIH 4 W groups (P < 0.05).
Nephrocalcinosis in a patient with extrapulmonary tuberculosis – A rare entity

Nephrocalcinosis is a rare condition in clinical practice where there is an increased renal deposition of calcium. Varied causes of this condition have been given in literature, and tuberculosis (TB) has been an important one. Hypercalcemia is a known complication of granulomatous diseases. We report a rare case explicitly showing relationship of extrapulmonary (genitourinary) TB with nephrocalcinosis.
Tackling Childhood Overweight: Parental Perceptions of Stakeholders’ Roles in a Community-Based Intervention

Introduction. Collaborative efforts among communities, schools, parents, and health professionals are needed to prevent childhood obesity, which touches one third of Canadian youth. The purpose of this case study was to obtain parents’ experience and perceptions about stakeholder roles in a multidisciplinary community-based intervention aiming to tackle childhood overweight. Methods. Data were collected from semistructured interviews with 10 parents following their participation in a community-based program designed to help families with overweight children adopt a healthier lifestyle. Results and Discussion. All parents preferred a multidisciplinary health team to monitor their children’s health. They expect that a physician or a pediatrician could diagnose overweight, explain results to parents, and refer families to resources. The team could also include professionals from health and education such as nutritionists/dietitians, nurses, physical education teachers, psychologists, kinesiologists, and social workers. Parents’ own perceived role would consist of instructing and reinforcing their children about healthy behaviors, role modeling for a healthy lifestyle, and seeking for professional help when needed. Conclusion. Parents involved in a support group with overweight child consider their own role as crucial to help changing their family lifestyle. They also prefer a multidisciplinary team that can address different aspects of overweight/obesity. However, the physician was perceived as having the central role in mobilizing a group of stakeholders around youth with overweight/obese, including the parents. A further step would be to understand barriers and facilitators to collaboration among health professionals in childhood overweight prevention and treatment.
Young Children's God Concepts: Influences of Attachment and Religious Socialization in a Family and School Context

Abstract This contribution offers an overview of two studies testing two attachment theoretical correspondence hypotheses in the prediction of individual differences in young children's God concepts. The correspondence hypothesis supposes that people's view on God parallels their images of their early caregiver–child relationship. The revised correspondence hypothesis incorporates caregiver religiosity and socialization. In the first study support was found for the correspondence hypothesis in the school context examining 72 preschoolers. In the second study the revised correspondence hypothesis was partly confirmed among 198 kindergarteners. Children cognitively learn about a powerful and comforting, helping God in their homes and schools, even when all relationships with their caregivers are experienced as negative. However, in such a surrounding they do not emotionally learn about an intimate, personal bond with God.