Miracle-dz/UniFAR-FTUs huggingface dataset:
Precipitation over southern Africa: is there consensus among global climate models (GCMs), regional climate models (RCMs) and observational data?

Abstract. The region of southern Africa (SAF) is highly vulnerable to the impacts of climate change and is projected to experience severe precipitation shortages in the coming decades. Ensuring that our modeling tools are fit for the purpose of assessing these changes is critical. In this work we compare a range of satellite products along with gauge-based datasets. Additionally, we investigate the behavior of regional climate simulations from the Coordinated Regional Climate Downscaling Experiment (CORDEX) – Africa domain, along with simulations from the Coupled Model Intercomparison Project Phase 5 (CMIP5) and Phase 6 (CMIP6). We identify considerable variability in the standard deviation of precipitation between satellite products that merge with rain gauges and satellite products that do not, during the rainy season (October–March), indicating high observational uncertainty for specific regions over SAF. Good agreement both in spatial pattern and the strength of the calculated trends is found between satellite and gauge-based products, however. Both CORDEX-Africa and CMIP ensembles underestimate the observed trends during the analysis period. The CMIP6 ensemble displayed persistent drying trends, in direct contrast to the observations. The regional ensembles exhibited improved performance compared to their forcing (CMIP5), when the annual cycle and the extreme precipitation indices were examined, confirming the added value of the higher-resolution regional climate simulations. The CMIP6 ensemble displayed a similar behavior to CMIP5, but reducing slightly the ensemble spread. However, we show that reproduction of some key SAF phenomena, like the Angola Low (which exerts a strong influence on regional precipitation), still poses a challenge for the global and regional models. This is likely a result of the complex climatic processes that take place. Improvements in observational networks (both in situ and satellite) as well as continued advancements in high-resolution modeling will be critical, in order to develop a robust assessment of climate change for southern Africa.
LC-ESI-QTOF-MS/MS Characterization and Estimation of the Antioxidant Potential of Phenolic Compounds from Different Parts of the Lotus (Nelumbo nucifera) Seed and Rhizome

Edible lotus (Nelumbo nucifera G.) is widely consumed in Asian countries and treated as a functional food and traditional medicinal herb due to its abundant bioactive compounds. Lotus rhizome peels, rhizome knots, and seed embryos are important byproducts and processing waste of edible lotus (Nelumbo nucifera G.) with commercial significance. Nevertheless, the comprehensive phenolic profiling of different parts of lotus is still scarce. Thus, this study aimed to review the phenolic contents and antioxidant potential in lotus seeds (embryo and cotyledon) and rhizomes (peel, knot, and pulp) grown in Australia. In the phenolic content and antioxidant potential estimation assays by comparing to the corresponding reference standards, the lotus seed embryo exhibited the highest total phenolic content (10.77 ± 0.66 mg GAE/gf.w.), total flavonoid content (1.61 ± 0.03 mg QE/gf.w.), 2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging activity (9.66 ± 0.10 mg AAE/gf.w.), 2,2-azino-bis-3-ethylbenzothiazoline-6-sulfonic acid (ABTS) scavenging activity (14.35 ± 0.20 mg AAE/gf.w.), and total antioxidant capacity (6.46 ± 0.30 mg AAE/g), while the highest value of ferric ion reducing antioxidant power (FRAP) activity and total tannin content was present in the lotus rhizome knot (2.30 ± 0.13 mg AAE/gf.w.). A total of 86 phenolic compounds were identified in five parts of lotus by liquid chromatography coupled with electrospray ionization quadrupole time-of-flight mass spectrometry (LC-ESI-QTOF-MS/MS), including phenolic acids (20), flavonoids (51), lignans (3), stilbenes (2), and other polyphenols (10). The most phenolic compounds, reaching up to 68%, were present in the lotus seed embryo (59). Furthermore, the lotus rhizome peel and lotus seed embryo exhibit significantly higher contents of selected polyphenols than other lotus parts according to high-performance liquid chromatography (HPLC) quantification analysis. The results highlighted that byproducts and processing waste of edible lotus are rich sources of phenolic compounds, which may be good candidates for further exploitation and utilization in food, animal feeding, and pharmaceutical industries.
Future evolution of global land surface air temperature trend based on
 CMIP6
 models

College of Atmospheric Sciences, Lanzhou University, Lanzhou, China Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of EcoEnvironment and Resources, Chinese Academy of Sciences, Lanzhou, China
The impact of CuO nanoparticles as fuel additives in biodiesel-blend fuelled diesel engine: A review

The utilization of fossil fuels like diesel has contributed immensely to ecological challenges such as the emission of greenhouse gasses. Hence, the motivation for sourcing another energy that is renewable as well as easily accessible from relatively cheap materials. Biodiesel is a perfect replacement for petro-diesel because it is biodegradable, economically viable, and has lower toxicity. However, there are challenges associated (poor engine efficiency) with its utilization in engines. It also raises NOx emissions which necessitates frequent engine component replacement owing to clogging, and it is ineffective in cold weather. To boost efficiency, nanoparticles can be combined with biodiesel blends. Moreover, the utilization of nanoparticle additives improves the performance of engines, rate of heat transfer, fuel mixture balance, thermo-physical characteristics, as well as the reduction in exhaust emissions. Copper oxide which is a transition metal oxide aids in the heat transfer from the engine down to the exhaust thus lowering the emissions of NOx. As a result, CuO nanoparticles are thought to have a lot of potential as a diesel engine additive and therefore, this review study was conducted to deduce the various techniques for generating CuO nano-fuels, the preparation methods, as well as their physicochemical features. Furthermore, the combustion behaviour, performance, and emission characteristics of diesel engines powered by CuO nanoparticle-containing biodiesel and blends were carefully investigated.
Ancient Caucasian Wheats: A Contribution for Sustainable Diets and Food Diversity

Through the centuries, the domestication and modern breeding of wheat led to a significant loss of genetic variation in the cultivated gene pool with a consequent decrease in food diversity. Current trends towards low-input and sustainable agriculture call for the revitalization and exploitation of ancient wheats, which represent a reservoir of biodiversity useful to ensure sustainable wheat production in the context of climate change and low-input farming systems. Ancient Caucasian wheat species, such as the hulled wheats Triticum timopheevii (tetraploid AuAuGG) and Triticum zhukovskyi (hexaploid AuAuAmAmGG), are still grown to a limited extent in the Caucasus for the production of traditional foods. These Caucasian wheats were grown in Italy and were analyzed for physical, nutritional and technological characteristics and compared to durum wheat. Both Caucasian species revealed a high protein content (on average 18.5%) associated with a low gluten index, mainly in T. zhukovskyi, and test weight values comparable to commercial wheats. The total antioxidant capacity was revealed to be the double of that in durum wheat, suggesting the use of ancient Caucasian wheats for the production of healthy foods. Finally, the technological and rheological results indicated that Caucasian wheats could be potential raw material for the formulation of flat breads, biscuits and pasta.
The Role of High-Density Lipoprotein in Lowering Risk of Dementia in the Elderly: A Review

Dementia is one of the major causes of disability and hospitalization in the elderly. As far as non-invasive markers of dementia are concerned, we only have age and Apolipoprotein-E (Apo-E) gene, which can be considered as clinically relevant. Modifiable risk factors have been found to be the cause in one-third of the patients who develop dementia. The compatible data supporting the same, in particular for dyslipidemia, is limited, which in turn makes it difficult to devise prevention and interventional methods for both dementia and mild cognitive impairment. Hence, the objective of the review is to summarize the findings on the relation established between the high-density lipoprotein type C( HDL-C) levels and lower the chance of dementia in the elderly, and the possible role of HDL-C as a potential predictive biomarker for cases of dementia in elderly people. Dyslipidemia, a known risk factor for the occurrence of cardiovascular diseases, seems to be linked to Alzheimer’s disease. Elevated levels of serum cholesterol in mid-adult life increases the risk of dementia in older age. But elevated high-density lipoprotein (HDL) level and its principal apolipoprotein A-I (ApoA-I ) equates with a low risk of dementia in the elderly population HDL cholesterol has been found to promote endothelial nitric oxide synthase activity which in turn reduces the neural and vascular inflammation and suppresses vascular adhesion thereby exhibiting its vasoprotective function. It has been believed that all these factors have a role to play in the pathogenesis of dementia. The relation between the higher levels of HDL cholesterol or its key protein component ApoA-I and the lower dementia prevalence in the elderly had been documented in numerous observational studies. Some studies have reported conflicting results. Yet, observational studies measuring the baseline HDL level in middle age found a significant association between HDL level and dementia risk in the elderly, whereas those studies measuring HDL cholesterol level only in old age found no association. Likewise, a significant association between HDL cholesterol and dementia risk has been reported with studies that carry through to 10 years or longer. However, the studies with follow-up of fewer than 10 years had failed to document any such association between HDL cholesterol and dementia. HDL assays may also be used as a predictive biomarker for dementia patients to target the interventions. Although statins do not target HDL directly but can be an area of interest for dementia.
Chronic Nicotine Exposure Increases Hematoma Expansion following Collagenase-Induced Intracerebral Hemorrhage in Rats

Spontaneous intracerebral hemorrhage (sICH) is a deadly stroke subtype, and tobacco use increases sICH risk. However epidemiological studies show that, there are no confirmatory studies showing the effect of tobacco use on sICH outcome. Therefore, we evaluated the effect of chronic nicotine exposure (as a surrogate for tobacco use) on outcomes following sICH. Young male and female rats were randomly assigned to either nicotine (4.5 mg/kg b.w. per day) or vehicle (saline) treatment (2–3 weeks) groups. sICH was induced by injecting collagenase into the right striatum. Neurological score and hematoma volume were determined 24 h post-sICH. The hematoma volumes in nicotine-treated male and female rats were significantly higher by 42% and 48% when compared to vehicle-treated male and female rats, respectively. Neurological deficits measured in terms of neurological score for the nicotine-treated male and female groups were significantly higher when compared to the respective vehicle-treated male and female groups. Our results show that chronic nicotine exposure increases hematoma volume post-sICH in rats of both sexes. Identifying the mechanism of nicotine-dependent increase in hematoma growth post-sICH will be crucial to understanding the detrimental effect of tobacco use on the severity of bleeding following intracerebral hemorrhage.
Network Intrusion Detection Model Based on CNN and GRU

A network intrusion detection model that fuses a convolutional neural network and a gated recurrent unit is proposed to address the problems associated with the low accuracy of existing intrusion detection models for the multiple classification of intrusions and low accuracy of class imbalance data detection. In this model, a hybrid sampling algorithm combining Adaptive Synthetic Sampling (ADASYN) and Repeated Edited nearest neighbors (RENN) is used for sample processing to solve the problem of positive and negative sample imbalance in the original dataset. The feature selection is carried out by combining Random Forest algorithm and Pearson correlation analysis to solve the problem of feature redundancy. Then, the spatial features are extracted by using a convolutional neural network, and further extracted by fusing Averagepooling and Maxpooling, using attention mechanism to assign different weights to the features, thus reducing the overhead and improving the model performance. At the same time, a Gated Recurrent Unit (GRU) is used to extract the long-distance dependent information features to achieve comprehensive and effective feature learning. Finally, a softmax function is used for classification. The proposed intrusion detection model is evaluated based on the UNSW_NB15, NSL-KDD, and CIC-IDS2017 datasets, and the experimental results show that the classification accuracy reaches 86.25%, 99.69%, 99.65%, which are 1.95%, 0.47% and 0.12% higher than that of the same type of CNN-GRU, and can solve the problems of low classification accuracy and class imbalance well.
Video-Based Automatic Wrist Flexion and Extension Classification

A computer vision method was developed to automatically measure wrist flexion and extension from a 2-D video for occupational health and safety research. Marker-less tracked skeletal joints of the elbow, wrist, and hand estimated the wrist flexion/extension angle between the hand and forearm. Based on the estimated angles, wrist posture was classified as flexion (palmar bending), neutral (no bending), or extension (dorsal bending) for each cycle of hand movement. Applying to a set of laboratory videos of a simulated repetitive motion task, we demonstrated the feasibility of using this algorithm for assessing the state of hand activities during manual work. Tested on 1464 frames from 61 recorded videos for 16 participants, the algorithm achieved an average performance of 72.40% correct, per-class accuracy. The sensitivity and specificity for flexion were 66.16% and 91.47%, respectively. The sensitivity and specificity for extension were 77.12% and 89.72%, respectively. This compared favorably against a previously reported consistency rate of 57% between human analyst estimates and wrist electrogoniometer measured wrist flexion/extension angles. We also applied this technique to 262 video frames of hand flexion instances selected from industrial field video data. For these videos, the average correct per-class accuracy was 76.03% in comparison to human observers. The sensitivity and specificity for flexion were 69.23% and 94.17%, respectively, and the sensitivity and specificity for extension were 91.95% and 80.57%, respectively.
Invited Review: Mimicking the natural thermal environments experienced by seeds to break physiological dormancy to enhance seed testing and seedling production

Physiological dormancy (PD) is the most common class of seed dormancy on earth. It is highly variable and is an important part of the adaptation of many species to their habitat. Often, two questions are asked about seeds that failed to germinate in a germination test: (1) are they non-viable or dormant, and (2) if dormant do they have PD and how is it broken? We provide an overview on how to approach studies of species with PD for which few or no data are available. Information about habitat environmental conditions during the seed stage can be used to formulate hypotheses on dormancy-breaking and germination requirements. These hypotheses can be tested by a move-along experiment. There are three levels of PD, and they are distinguished by the conditions required to break PD and promote germination. Seeds with non-deep PD (the most common level of PD) require different conditions for dormancy-break and germination, i.e. a change in the season, while those with intermediate and deep PD germinate at the dormancy-breaking conditions, e.g. during a long period of cold stratification. Knowing how to break PD enhances testing for seed viability and helps ensure high germination percentages of viable seeds.
Role of Polyamine-Induced Dimerization of Antizyme in Its Cellular Functions

The polyamines, spermine (Spm) and spermidine (Spd), are important for cell growth and function. Their homeostasis is strictly controlled, and a key downregulator of the polyamine pool is the polyamine-inducible protein, antizyme 1 (OAZ1). OAZ1 inhibits polyamine uptake and targets ornithine decarboxylase (ODC), the rate-limiting enzyme of polyamine biosynthesis, for proteasomal degradation. Here we report, for the first time, that polyamines induce dimerization of mouse recombinant full-length OAZ1, forming an (OAZ1)2-Polyamine complex. Dimerization could be modulated by functionally active C-methylated spermidine mimetics (MeSpds) by changing the position of the methyl group along the Spd backbone—2-MeSpd was a poor inducer as opposed to 1-MeSpd, 3-MeSpd, and Spd, which were good inducers. Importantly, the ability of compounds to inhibit polyamine uptake correlated with the efficiency of the (OAZ1)2-Polyamine complex formation. Thus, the (OAZ1)2-Polyamine complex may be needed to inhibit polyamine uptake. The efficiency of polyamine-induced ribosomal +1 frameshifting of OAZ1 mRNA could also be differentially modulated by MeSpds—2-MeSpd was a poor inducer of OAZ1 biosynthesis and hence a poor downregulator of ODC activity unlike the other MeSpds. These findings offer new insight into the OAZ1-mediated regulation of polyamine homeostasis and provide the chemical tools to study it.
Measured versus estimated creatinine clearance in critically ill patients with acute kidney injury: an observational study

Background Acute kidney injury (AKI) commonly occurs in critically ill patients. Estimation of renal function and antibiotics dose adjustment in patients with AKI is a challenging issue. Methods Urinary creatinine clearance was measured in a 6-hour urine collection from patients with acute kidney injuries. The correlations between different formulas including the modified Cockcroft-Gault, modification of diet in renal disease, chronic kidney disease-epidemiology collaboration, Jelliffe, kinetic-glomerular filtration rate (GFR), Brater, and Chiou formulas were considered. The pattern of the prescribed antimicrobial agents was also compared with the patterns in the available resources. Results Ninety-five patients with acute kidney injuries were included in the research. The mean age of the participants was 63.11±17.58 years old. The most patients (77.89%) were in stage 1 of AKI according to the Acute Kidney Injury Network criteria, followed by stage 2 (14.73%) and stage 3 (7.36), respectively. None of the formulations had a high or very high correlation with the measured creatinine clearance. In stage 1, Chiou (r=0.26), and in stage 2 and 3, kinetic-GFR (r=0.76 and r=0.37) had the highest correlation coefficient. Antibiotic over- and under-dosing were frequently observed in the study. Conclusions The results showed that none of the static methods can predict the measured creatinine clearance in the critically ill patients. The dynamic methods such as kinetic-GFR can be helpful for patients who do not receive diuretics and vasopressors. Further studies are needed to confirm our results.
Ten years of RELEA: Achievements and challenges for astronomy education development

When an area of education, and more particularly the research within this area, is aimed to development, one of the basic requirements is the existence of a regular publication that accounts for the scientific production in that area. This study aims to analyze 10 years of Latin-American Journal of Astronomy Education (RELEA) [http://www.relea. ufscar.br/].
A comparative study of changes in audiological characteristics when using endoscopic and microscopic stapes surgery in patients with otosclerosis

Background Endoscopic stapes surgery (ESS) is widely used to treat patients with otosclerosis, and accumulating evidence demonstrates that endoscopic stapedotomy is feasible and has similar, and often even better, audiological outcomes compared with microscopic stapedotomy. There is a lack of studies on comparisons of ESS and the audiological outcomes of ESS and microscopic stapes surgery (MSS). Therefore, in the present study, we investigated these to figure out if ESS could be a reasonable alternative treatment for otosclerosis patients. Methods This was a cohort study of 65 patients with otosclerosis who underwent ESS (n=30) or MSS (n=35) between 2017 and 2021, whose diagnoses were mainly based on a history of progressive conductive or mixed deafness over 25 dB in the range of 0.25–4 kHz. Preoperative and postoperative audiological evaluation, including air-conduction (AC), bone-conduction (BC) and air-bone gap (ABG), was carried out using pure-tone audiometry and performed within 4 weeks before surgery and from 1–14 months after surgery. Results Thirty ESS and 35 MSS patients were included. There were no significant differences in preoperative and postoperative pure-tone average AC (AC-PTA), BC-PTA, and ABG-PTA between the 2 groups. Postoperative ABG ≤10 dB was found in 8 ESS patients (60%) and 15 MSS patients (43%) (P=0.168). AC and ABG changes in the low-frequency (LF) and mid-frequency (MF) ranges were greater than those in the high-frequency (HF) range for both groups (P<0.05). Although auditory changes between the 2 groups were similar, MSS appeared to have a better BC-PTA compared with ESS (P=0.049). Shifts in ABG and BC were linearly related to preoperative ABG and BC in both groups, and shifts in AC were linearly related to preoperative AC in the ESS group (P<0.05). Conclusions ESS had a similar audiological outcome compared with MSS, and LF and MF hearing improved to a greater degree than HF hearing in both groups in our study. Based on the linear regression analysis in our study, preoperative ABG-PTA was proved to be the most efficient surgical indicator for both types of stapes surgery for patients with otosclerosis.