Miracle-dz/UniFAR-FTUs huggingface dataset:
Biogeochemical limitations of carbon stabilization in forest subsoils

1 Institute of Soil Science, Leibniz Universität Hannover, Hannover, Germany 2 Soil Science and Soil Protection, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany 3 Institute of Soil Science and Site Ecology, Technische Universität Dresden, Tharandt, Germany 4 Thünen Institute of Climate-Smart Agriculture, Braunschweig, Germany 5 Institute of Soil Science and Land Evaluation, Soil BiologyUniversity of Hohenheim, Stuttgart, Germany 6 Department of Soil Science/Soil Ecology, Institute of Geography, Ruhr-University Bochum, Bochum, Germany 7 Institute of Cell Biology and Biophysics, Leibniz Universität Hannover, Hannover, Germany
Discharge Flow of Spherical Particles from a Cylindrical Bin: Experiment and DEM Simulations

A series of the DEM simulations of the outflow of wooden spheres from a flat-bottomed container was reported, considering the maximum diameter to arrest the flow. Numerical simulations of the discharge process were performed, and the micro-mechanics of the discharged particles were described. The effect of the sliding friction coefficient between particles, rolling friction coefficient, and modulus of elasticity of particles on the clogging process was investigated. The results of the simulations of the mass flow rate of spheres have shown a fairly close agreement with the experimental results. The real particles of wood were not perfectly spherical, their properties were anisotropic, and their frictional properties were non-homogenously distributed on the surface. Nevertheless, these deviations from ideal conditions did not produce a considerable discrepancy in the results. No direct relationship between the interparticle friction and the clogging was found; however, a relationship between the stability of the dome formed at flow arrest and the rolling friction was observed. An increase in Young’s modulus of particles by two orders of magnitude did not affect the clogging process, but a slightly higher probability of clogging was found for softer particles.
Long-Term Effects of Childhood Cancer Treatment on Dentition and Oral Health: A Dentist Survey Study from the DCCSS LATER 2 Study

Simple Summary We aimed to identify the prevalence of and independent risk factors for dental and oral problems in childhood cancer survivors (CCSs). This cross-sectional study is part of the Dutch Childhood Cancer Survivor Study (DCCSS) LATER 2. Our study included survey data on 154 CCSs, on whom information from dentists on oral health data was received (71.3%). In total, 36.3% of survivors were reported to have at least one dental developmental disorder (DDD). The most prevalent DDDs were short-root anomaly (14.6%), agenesis (14.3%), and microdontia (13.6%). Risk factors for at least one DDD were younger age at diagnosis (<3 years vs. 5+ years) and dose-dependent alkylating agent therapy. This study provides more insight into risk factors for oral health problems in Dutch CCSs. This information is essential in order to improve early detection, prevention, and dental care of oral health problems in CCSs. Abstract Objectives: The aim of this study was to identify the prevalence of and independent risk factors for long-term effects of childhood cancer treatment on the dentition and oral health in childhood cancer survivors (CCSs). Methods: This cross-sectional study is part of the Dutch Childhood Cancer Survivor Study (DCCSS) LATER 2. CCSs were diagnosed with cancer between 1963 and 2001. This study focuses on survey data of 154 CCSs on whom information about their oral health was received from their dentists (71.3%). Descriptive statistics and univariable and multivariable Poisson regression analyses were performed to determine the association between treatment characteristics and oral health data. Results: Of the study group, 36.3% had at least one DDD. The most prevalent DDDs were short-root anomaly (14.6%), agenesis (14.3%), and microdontia (13.6%). Risk factors for at least one DDD were younger age at diagnosis (<3 years) and dose-dependent alkylating agent therapy. Conclusions: This study provides more insight into risk factors for oral health problems in Dutch CCSs. This information is essential in order to improve early detection, prevention, dental care, and quality of life. Further studies are needed in order to better define dose-related radiotherapy exposure of the developing teeth in correlation with oral health problems.
Review of Residual Stress Impingement Methods to Mitigate Environmental Fracture Susceptibility

Environmental cracking- and fatigue-related failures threaten all major industries and, to combat such degradation, numerous residual stress impingement (RSI) methods have been developed with varying levels of efficacy and ease of use. Some of the most commonly used RSI methods, such as shot peening, laser shock peening, and low plasticity burnishing, as well as new methods, such as ultrasonic nanocrystal surface modification, are reviewed in the context of corrosion, corrosion fatigue, and environmental cracking mitigation. The successes and limitations of these treatments are discussed, with a focus on their efficacy against these three damage modes based on the available literature. Case studies are reviewed that demonstrate how these treatments have been adopted and advanced by industry, and application-specific research efforts are explored with a focus on future opportunities. Research is identified that illustrates how the utility of these surface treatments may vary between alloy systems, and where the benefits must be weighed against the risks to a component’s service performance.
Geostatistical modeling of “lethal coconut palm crown atrophy”, a new disease in the State of Pará

’Lethal Coconut Palm Crown Atrophy’ (LCCA) is a rapidly spreading disease in Brazil, capable of quickly killing coconut trees and threatening the commercial exploration of this plant. The objective of this work was to characterize the spatial and temporal distribution pattern of LCCA in green dwarf coconut commercial plantation areas, located the municipality of Santa Izabel, mesoregion of Northeastern Pará, Brazil. Surveys were carried out at monthly intervals between January 2014 and December 2018, checking for plants with LCCA-characteristic symptoms. Geostatistics was applied to perform spatial-temporal disease estimates based on semivariogram modeling and preparation of ordinary kriging maps. These spatial estimates are conducted through interpolations that characterize data variability in the area. The spherical model yielded the best fit to the spatial distribution of the disease, as it presented the best coefficient of determination (R²), with the range varying between 14m and 45m. The Spatial Dependence Index (SDI) was moderate in the evaluations carried out between 2014 and 2017 (in the 0.26-0.64 range), but not in 2018, when it was strong (0.23). The values of the clustering intensity of LCCA-symptomatic plants were estimated in non-sampled points. The spherical fit model of the data indicates an aggregated distribution pattern, shown by aggregation patches in the plantation, graded by values of dissemination intensity. The kriging maps allowed the observation that the disease expands between plants in the same line, suggesting the possibility of the presence of a short-range vector.
Ipad Text-to-Speech and Repeated Reading to Improve Reading Comprehension for Students with SLD

Abstract Students with specific learning disabilities (SLD) have difficulty with most reading skills, including reading comprehension. Improving reading comprehension skills requires efficient interventions that consider both meaning- and code-based skills simultaneously. Using a single-subject multiple-baseline design across participants, with alternating treatment design, this study compared two reading interventions (repeated reading vs. iPad text-to-speech) combined with a meta-cognitive strategy (question generation). Three fourth-grade and third-grade students who had been diagnosed by their school as having reading difficulties participated in the study. Using the index of narrative complexity, two participants showed improvement in reading comprehension skills. However, there were slight differences for the RAAC intervention over the iPad intervention for one participant. The time required to administer the iPad intervention was shorter than the time required to administer the Reread-Adapt and Answer-Comprehend (RAAC) intervention (an average of 12.73 min for the repeated reading vs. 5.45 min for the iPad).
Effects of Magnetic Minerals Exposure and Microbial Responses in Surface Sediment across the Bohai Sea

Extensive production and application of magnetic minerals introduces significant amounts of magnetic wastes into the environment. Exposure to magnetic minerals could affect microbial community composition and geographic distribution. Here, we report that magnetic susceptibility is involved in determining bacterial α-diversity and community composition in surface sediment across the Bohai Sea by high-throughput sequencing analysis of the 16S rRNA gene. The results showed that environmental factors (explained 9.80%) played a larger role than spatial variables (explained 6.72%) in conditioning the bacterial community composition. Exposure to a magnetite center may shape the geographical distribution of five dissimilatory iron reducing bacteria. The microbial iron reduction ability and electroactive activity in sediment close to a magnetite center are stronger than those far away. Our study provides a novel understanding for the response of DIRB and electroactive bacteria to magnetic minerals exposure.
Regenerative Medicine of Liver: Promises, Advances and Challenges

Liver tissue engineering is a rapidly developing field which combines the novel use of liver cells, appropriate biochemical factors, and engineering principles, in order to replace or regenerate damaged liver tissue or the organ. The aim of this review paper is to critically investigate different possible methods to tackle issues related with liver diseases/disorders mainly using regenerative medicine. In this work the various regenerative treatment options are discussed, for improving the prognosis of chronic liver disorders. By reviewing existing literature, it is apparent that the current popular treatment option is liver transplantation, although the breakthroughs of stem cell-based therapy and bioartificial liver technology make them a promising alternative.
Who Should Learn Proving and Why: An Examination of Secondary Mathematics Teachers’ Perspectives

Reasoning-and-proving is a crucial part of students ’ mathematical experiences in secondary school. There is scholarly debate, however, on the extent to which proving at the secondary level needs to be formal and whether all students should be held to disciplinary standards of rigor. In this study, we investigated the notion of “ proof for all ” from the perspective of secondary mathematics teachers. We analyzed, using the framework of practical rationality, the justifications teachers gave for whether or not all students should learn proof. Based on interviews with twenty-one secondary teachers from a socioeconomically-diverse set of schools, we found that teachers differ in their opinions of who should learn proving but they were similar in their feelings of obligation toward individual student learning; some teachers cited obligations to individual students as a justification for teaching proving to all students and others cited those obligations as a justification for not teaching proving to some students. We also share teachers ’ perspective with regard to their obligations to the discipline, educational institutions, interpersonal dynamics among students, and the worldly relevance of mathematics education.
Economic Impact of Tariff Rate Quotas and Underfilling: The Case of Canned Fruit Exports from South Africa to the EU

Export trade provided for under tariff rate quotas (TRQs) is an important contributor to improving South Africa’s export access to European markets. The performance of exporter-administered TRQs has not received much research attention in the context of the below par market access utilisation of a given opportunity. The present study analysed how the country performed in terms of utilising its TRQ for canned pears, apricots, and peaches provided by the European Union (EU) for the period 2010 to 2019. The permit allocation system for TRQs in South Africa is described for further understanding of aspects of the TRQ system likely to affect quota fill. Performance was assessed in terms of yearly quota utilisation rates as well as welfare measured in equivalent variation calculated in a computable general equilibrium (CGE) trade model. The analysis found that the canned fruit TRQ exhibited a fill rate average of 61% for the past 10 years (2010–2019) and 49% for the period 2015–2019, thus falling far short of the goal of achieving full market access availed by the EU within the protocols of liberalised trade. The welfare effects of trade liberalisation confirmed the underutilisation of the TRQ indicated by a welfare loss, considering the difference in gains of an underutilised quota (USD 2497) and a fully utilised quota (USD 2530). The study highlights the importance of full utilisation of preferences.
Cloud-resolving-model simulations of nocturnal precipitation over the Himalayan slopes and foothills

A numerical experiment with a 2-km resolution was conducted using the Weather Research and Forecasting (WRF) model to investigate physical processes driving nocturnal precipitation over the Himalayas during the mature monsoon seasons between 2003 and 2010. The WRF model simulations of increases in precipitation twice a day, one in the afternoon and another around midnight, over the Himalayan slopes, and of the single nocturnal peak over the Himalayan foothills were reasonably accurate. To understand the synoptic-scale moisture transport and its local-scale convergence generating the nocturnal precipitation, composite analyses were conducted using the reanalysis dataset and model outputs. In the synoptic scale, moisture transport associated with the westward propagation of low pressure systems was found when nocturnal precipitation dominated over the Himalayan slopes. In contrast, moisture was directly provided from the synoptic-scale monsoon westerlies for nocturnal precipitation over the foothills. The model outputs suggested that precipitation occurred on the mountain ridges in the Himalayas during the afternoon, and expanded horizontally towards lower-elevation areas through the night. During the nighttime, the downslope wind was caused by radiative cooling at the surface and was intensified by evaporative cooling by hydrometeors in the near-surface layer. As a result, convergence between the downslope wind and the synoptic-scale flow promoted nocturnal precipitation over the Himalayas and to the south, as well as the moisture convergence by orography and/or synoptic-scale circulation patterns. The nocturnal precipitation over the Himalayas was not simulated well when we used the coarse topographic resolution and the smaller number of vertical layers.
SATELLITE IMAGE CLASSIFICATION: FROM HANDCRAFTED FEATURES TO DEEP LEARNING FEATURES

Every day, satellites capture huge volumes of data and monitor the earth's surface. This is a time-consuming process to manually classify the images into their appropriate classes. A classification system that automatically classifies the images into the proper classes is required. In this article, we have used handcrafted features and deep learning features to classify the satellite images. As handcrafted features, HLAC features have been used and for deep learning features ResNet-50 and ResNet-101 models have been used. This article provides a method for detecting HLAC features in multi-class satellite images and automatically classifying them into their appropriate classes. To classify an image, the image's features are first extracted, and then classification is performed utilizing those features. An SVM classifier is used to classify the images. The Sentinel-2 satellite images from the EuroSAT dataset were used. The accuracy and F1-score were used to assess the performance of the classifier. The SVM classifier with HLAC feature extraction had an F1-score of 86.26 and an accuracy of 89.35%. The dataset's classification accuracy was also assessed using a deep learning model. We obtained a 98.69% accuracy using deep learning models which is 0.12% higher than the benchmarked.
Adenosine Receptor Antagonists to Combat Cancer and to Boost Anti-Cancer Chemotherapy and Immunotherapy

Extracellular adenosine accumulates in the environment of numerous tumors. For years, this fact has fueled preclinical research to determine whether adenosine receptors (ARs) could be the target to fight cancer. The four ARs discovered so far, A1, A2A, A2B and A3, belong to the class A family of G protein-coupled receptors (GPCRs) and all four have been involved in one way or another in regulating tumor progression. Prompted by the successful anti-cancer immunotherapy, the focus was placed on the ARs more involved in regulation of immune cell differentiation and activation and that are able to establish molecular and functional interactions. This review focuses on the potential of A2A and A2B receptor antagonists in cancer control and in boosting anti-cancer chemotherapy and immunotherapy. The article also overviews the ongoing clinical trials in which A2AR and A2BR ligands are being tested in anti-cancer therapy.
Diagnosing Ocean Feedbacks to the BSISO: SST‐Modulated Surface Fluxes and the Moist Static Energy Budget

The oceanic feedback to the atmospheric boreal summer intraseasonal oscillation (BSISO) is examined by diagnosing the sea surface temperature (SST) modification of surface fluxes and moist static energy on intraseasonal scales. SST variability affects intraseasonal surface latent heat (LH) and sensible heat (SH) fluxes, through its influence on air‐sea moisture and temperature gradients (∆q and ∆T, respectively). According to bulk formula decomposition, LH is mainly determined by wind‐driven flux perturbations, while SH is more sensitive to thermodynamic flux perturbations. SST fluctuations tend to increase the thermodynamic flux perturbations over active BSISO regions, but this is largely offset by the wind‐driven flux perturbations. Enhanced surface fluxes induced by intraseasonal SST anomalies are located ahead (north) of the convective center over both the Indian Ocean and the western Pacific, favoring BSISO northward propagation. Analysis of budgets of column‐integrated moist static energy (⟨m⟩) and its time rate of change (∂⟨m⟩/∂t) shows that SST‐modulated surface fluxes can influence the development and propagation of the BSISO, respectively. LH and SH variability induced by intraseasonal SSTs maintain 1–2% of ⟨m⟩ day−1 over the equatorial western Indian Ocean, Arabian Sea, and Bay of Bengal but damp about 1% of ⟨m⟩ day−1 over the western North Pacific. The contribution of intraseasonal SST variability to ∂⟨m⟩/∂t can reach 12–20% over active BSISO regions. These results suggest that SST variability is conducive, but perhaps not essential, for the propagation of convection during the BSISO life cycle.
A Bibliometric Analysis of the Occupational Therapy Literature Addressing Interventions for Children and Adolescents with Mental Health Needs

Abstract A bibliometric analysis was performed to examine the occupational therapy peer-reviewed literature addressing interventions for children and adolescents with mental health disorders (1980–2019). The search strategy yielded 82 articles that have not produced significant support for the profession’s role in this practice area, have not been well-cited, and may not be readily accessible by stakeholders. A third of this literature addressed children with ADHD using sensory-based approaches. Depression, anxiety, and bipolar disorder were addressed comparatively less. The profession must increase advocacy to enhance awareness of therapists’ role in this practice area and engage in research supporting practice.
Efficacy of Ceftazidime and Cefepime in the Management of COVID-19 Patients: Single Center Report from Egypt

The purpose of this study was to explore the value of using cefepime and ceftazidime in treating patients with COVID-19. A total of 370 (162 males) patients, with RT-PCR-confirmed cases of COVID-19, were included in the study. Out of them, 260 patients were treated with cefepime or ceftazidime, with the addition of steroids to the treatment. Patients were divided into three groups: Group 1: patients treated with cefepime (124 patients); Group 2: patients treated with ceftazidime (136 patients); Group 3 (control group): patients treated according to the WHO guidelines and the Egyptian COVID-19 management protocol (110 patients)/ Each group was classified into three age groups: 18–30, 31–60, and >60 years. The dose of either cefepime or ceftazidime was 1000 mg twice daily for five days. Eight milligrams of dexamethasone were used as the steroidal drug. Careful follow-ups for the patients were carried out. In vitro and in silico Mpro enzyme assays were performed to investigate the antiviral potential of both antibiotics. The mean recovery time for Group 1 was 12 days, for Group 2 was 13 days, and for Group 3 (control) was 19 days. No deaths were recorded, and all patients were recovered without any complications. For Group 1, the recovery time was 10, 12, and 16 days for the age groups 18–30, 30–60, and >60 years, respectively. For Group 2, the recovery time was 11, 13, and 15 days for the age groups 18–30, 30–60, and >60 years, respectively. For Group 3 (control), the recovery time was 15, 16, and 17 days for the age groups 18–30, 30–60, and >60 years, respectively. Both ceftazidime and cefepime showed very good inhibitory activity towards SARS CoV-2′s Mpro, with IC50 values of 1.81 µM and 8.53 µM, respectively. In conclusion, ceftazidime and cefepime are efficient for the management of moderate and severe cases of COVID-19 due to their potential anti-SARS CoV-2 activity and low side effects, and, hence, the currently used complex multidrug treatment protocol can be replaced by the simpler one proposed in this study.
Effects of Local Application of Platelet Rich Fibrin versus Hyaluronic Acid on Postoperative Sequelae After Surgical Removal of Impacted Lower Third Molar

Objectives: This study aims to evaluate the effectiveness of local application of platelet rich fibrin and hyaluronic acid on postoperative sequelae after surgical extraction of impacted mandibular third molars. Materials and Methods: The research included a total of 66 healthy patients, from both genders, aged between 19-29 years partially erupted mandibular third molar. All procedures had been done under local anesthesia. Patients randomly divided into three groups. First group platelet rich fibrin and in the second group (Gengigel ® Prof Syringes, Ricerfarma) which contain 0.8% hyaluronic acid were applied in the post extraction socket of impacted lower third molar. In the third control group nothing was placed in the extraction sockets. Postoperative pain, swelling, and trismus were evaluated on the 1st, 3rd, and 7th postoperative days. Results: Hyaluronic acid 0.8% (Gengigel) showed significant reduction in both pain and swelling for the 1st and 3rd postoperative days when compared to the control group. Platelet rich fibrin group revealed a significant lower pain at 1st postoperative day and less swelling at 3rd postoperative day in comparison to the control group. No differences were determined among all groups in maximum mouth opening (trismus). Conclusions: The result of this study showed that both hyaluronic acid and platelet rich fibrin reduced the postoperative pain and swelling. However, the outcome of hyaluronic acid was more satisfied than the platelet rich fibrin in comparison to that of control group after wisdom teeth surgery.