Miracle-dz/UniFAR-FTUs huggingface dataset:
General Mapping of the Environmental Performance in Climate Change Mitigation of Spanish Universities through a Standardized Carbon Footprint Calculation Tool

Higher education institutions (HEIs) can be considered role models of small cities that contribute to the fight against climate change. Therefore, assessing their own carbon footprints (CFs) and drawing conclusions gives significance to this study. In this study, 77 CFs from 14 HEIs were obtained through a tool developed by the Spanish Government. They were analyzed along with different variables and recalculated using the same standardized activity ratios. As a result, a general mapping of the environmental performance in climate change mitigation of Spanish universities has been obtained. Although there is an overall decrease in total CF (72.7%), direct greenhouse gas (GHG) emissions (Scope 1) remain stable, while the decrease is due to the reduction of emissions caused by electricity consumption (Scope 2) through the use electricity suppliers that guarantee the energy provided is generated from renewable sources. A lack of consensus in the definition of “student” and “employee”, used for the activity ratios, causes large variations in the relative CF values. For worldwide benchmarking of HEIs’ climate change performance, CF can be a valid indicator only if they: (1) include standardized Scope 1 and 2 emission sources, (2) use the same emission factors, and (3) calculate activity ratios from standardized functional units.
Hall effect test bench for temperature dependence of carrier concentration

This paper presents an integrated bench for Hall effect measurements consisting of a helium cryostat placed between the electromagnet poles with a field of 0.5 T and a control and measurement system, as well as control algorithm for different operating modes. The results of measurements of majority carrier concentration by van der Pauw method in the temperature range 165 K - 300 K for indium tin oxide (ITO). Streszczenie. ś ników ).
Association of air quality parameters and socio-demographic towards the human health in India using regression analysis

Abstract This paper investigates the socio-economic impact of air pollution on human health in India. The data on vehicle emissions and health effects are obtained from secondary sources, and data relating to the source of fuel, type of kitchen, household income, age, education, respondents’ social class, and air-related diseases were collected through a primary source. Face-to-face interviews were conducted to collect primary data from selected 300 households using a structured questionnaire in rural and urban areas in India. The study results show that the higher-income households use alternative clean fuels like Liquefied Petroleum Gas (LPG) and electricity. The results indicate that the solid fuel users who used a kitchen without a partition wall were mostly affected by air-related diseases compared to other fuel users. The regression results indicate that the age of the household head has a positive 9.3%, gender of the household head has a negative 35.5%, the social class (caste) has a positive 20%, education of the household head has a negative 11.8%, household income has a negative 62.8%, kitchen type has a positive 23.7%, type of stove has a negative 30.7%, and type of fuel has a positive 33.1% effect on air related diseases. The study concluded that there is a need to prioritize promoting income and employment opportunities for the poor rural community. The infrastructure development activities could reduce the pollution from the vehicle. Implementing environmental education programs and campaigns could reduce the health problems in rural and urban areas in India.
Estimation recursive d’une partition. Exemples d’apprentissage et auto-apprentissage dans R-expN et I-expN

Nous allons presenter dans cet article un algorithme de classification du type auto-apprentissage qui peut traiter des donnees multidimensionnelles continues a l'interieur du cube unitaire: CLRO. La premiere partie traite de divers concepts generaux regissant, a notre avis, les algorithmes d'auto-apprentissage. Dans une deuxieme partie nous supposerons que les donnees ne peuvent prendre que les deux seules valeurs 0 ou 1; ceci nous permettra d'etablir une estimation recursive d'une loi de probabilite representee de facon exponentielle ayant un forme particulierment simple. Nous generaliserons ensuite au cas des donnees reelles comprises entre 0 et 1. On montre que, moyennant certaines hypotheses simplificatrices que l'on justifie, l'algorithme conserve sa forme simple. La troisieme partie traite, sous le schema general, le cas de la classification automatique de points dans l'espace RN, consideres munis de mesures gausiennes. L'algorithme est developpe avec le souci de la simplicite des calculs en vue de son utilisation en ligne de facon recursive. Il procede a l'estimation de la moyenne et de la covariance des classes au fur et a la mesure qu'elles sont crees et modifiees selon les principes decrits pour l'auto-apprentissage. Nous donnons un example d'application a la reconaissance d'objects en Robotique
An empirical study of the Python/C API on evolution and bug patterns

Python is a popular programming language, and a large part of its appeal comes from diverse libraries and extension modules. In the bloom of data science and machine learning, Python frontend with C/C++ native implementation achieves both productivity and performance and has almost become the standard structure for many mainstream software systems. However, feature discrepancies between two languages such as exception handling, memory management, and type system can pose many safety hazards in the interface layer using the Python/C API. In this paper, we carry out an empirical study of the Python/C API on evolution and bug patterns. The evolution analysis includes Python/C API design in CPython compilers and its usage in mainstream software. By designing and applying a static analysis toolset, we reveal the evolution and usage statistics of the Python/C API and provide a summary and classification of 9 common bug patterns. In Pillow, a widely used Python imaging library, we find 48 bugs, 19 of which are undiscovered before. Our toolset can be easily extended to access different types of syntactic bug‐finding checkers, and our systematical taxonomy to classify bugs can guide the construction of more highly automated and high‐precision bug‐finding tools.
Regulation of Circadian Genes Nr1d1 and Nr1d2 in Sex-Different Manners during Liver Aging

Background: Circadian rhythm is associated with the aging process and sex differences; however, how age and sex can change circadian regulation systems remains unclear. Thus, we aimed to evaluate age- and sex-related changes in gene expression and identify sex-specific target molecules that can regulate aging. Methods: Rat livers were categorized into four groups, namely, young male, old male, young female, and old female, and the expression of several genes involved in the regulation of the circadian rhythm was confirmed by in silico and in vitro studies. Results: Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses showed that the expression of genes related to circadian rhythms changed more in males than in females during liver aging. In addition, differentially expressed gene analysis and quantitative real-time polymerase chain reaction/western blotting analysis revealed that Nr1d1 and Nr1d2 expression was upregulated in males during liver aging. Furthermore, the expression of other circadian genes, such as Arntl, Clock, Cry1/2, Per1/2, and Rora/c, decreased in males during liver aging; however, these genes showed various gene expression patterns in females during liver aging. Conclusions: Age-related elevation of Nr1d1/2 downregulates the expression of other circadian genes in males, but not females, during liver aging. Consequently, age-related upregulation of Nr1d1/2 may play a more crucial role in the change in circadian rhythms in males than in females during liver aging.
Few-shot fault diagnosis for pitch system of wind turbines based on prototypical network with Mahalanobis distance

Wind turbine failure data is only a small part of the huge amount of operational data. Classification of a small amount of fault data often leads to overfitting of the model. To address the above problem, a few-shot learning method for wind turbine fault classification is proposed by using a prototypical network with Mahalanobis distance. This is done by preprocessing a small amount of high-dimensional fault data using PCA and LSTM methods to obtain training samples for a prototypical network of Mahalanobis distance. The distance function that fits best to the wind power fault data is found by training as the distance function of the prototypical Mahalanobis distance network. The experimental results show that The accuracy of few-shot learning for wind turbine fault classification using the Mahalanobis distance prototypical network is much higher than that of conventional machine learning classification.
International Research Collaboration During the Pandemic: Team Formation, Challenges, Strategies and Achievements of the African Translational Research Group

This paper discusses multidisciplinary international research collaboration team formation during the COVID-19 pandemic, challenges faced, strategies adopted, achievements and dynamics in the implementation of research on Coronavirus disease-2019 (COVID-19), by the African Translational Research Group (ATReG). The paper also discusses the lessons learnt and future opportunities for global collaborative research. In-depth virtual interviews were conducted with consenting members of ATReG. Questions were designed to provide rich, deep, and insightful opinions, lived experiences and perspectives of ATReG group members on group formation, challenges, strategies and achievements. Interview data was transcribed and analysed thematically, and the results were presented with important quotations presented. The ATReG consisted of English (n = 13) and French (n = 1) speaking sub-Saharan African (SSA) researchers who specialise in public health, epidemiology, optometry, information technology, supply chain management, psychiatry, community health, general medical practice, nutrition and biostatistics. Most members of the group reported an informal but well-coordinated structure of the group. Formed during the pandemic, all group meetings were held online, and many members are yet to meet each other in person. The group collected data from Africans and published 10 peer reviewed journal articles on COVID-19 within two years. It presented in international conferences, engaged with the media and the public and was awarded a national competitive funding in Nigeria all of which which contributed to career progression and academic promotion of some members. There have been challenges in sustaining the research collaboration and maintaining productivity. Challenges include difficulties meeting deadlines and obtaining funding for research activities. However, these challenges have been addressed through a collaborative problem-solving approach. The study found the need for operational and methodological flexibility, centralised coordination, and established funding sources as being essential for long term sustainability and performance of the group. The ATReG’s objective of providing useful data on COVID-19 and generating useful knowledge about COVID-19 in SSA has been achieved. In such a multi-disciplinary international collaborative team relaiant on the online medium to operate, the experiences and challenges can be a model for learning for researchers intending to form international multidisciplinary collaborative groups. Nonetheless, there are still many important areas of research which ATReG will continue to pursue.
Glutamate-Sodium Discrimination Status in Adults Is Associated with Salt Recognition Threshold and Habitual Intake of Discretionary Food and Meat: A Cross-Sectional Study

Umami non-discriminators (NDs) are a sub-group of the population with a reduced ability to discriminate between monosodium glutamate (MSG) and sodium chloride (NaCl) compared to umami discriminators (UDs). No research has investigated umami and salty taste perception associations across detection threshold (DT), recognition threshold (RT), and suprathreshold intensity perception (ST) or the habitual dietary intake of ND. Adults (n = 61, mean age of 30 ± 8 years, n = 40 females) completed taste assessments measuring their DT, RT, and ST for salty, umami (MSG and monopotassium glutamate (MPG)), and sweet tastes. To determine the umami discrimination status, participants completed 24 triangle tests containing 29 mM NaCl and 29 mM MSG, and those with ≥13 correct identifications were considered UDs. Habitual dietary intake was recorded via a food frequency questionnaire. NDs made up 14.8% (n = 9) of the study population, and UDs made up 85.2% (n = 52). NDs were less sensitive to salt at RT (mean step difference: −1.58, p = 0.03), and they consumed more servings of meat and poultry daily (1.3 vs. 0.6 serves, p = 0.006); fewer servings of discretionary food (1.6 vs. 2.4, p = 0.001); and, of these, fewer salty discretionary foods (0.9 vs. 1.3, p = 0.003) than NDs. Identifying these NDs may provide insight into a population at risk of the overconsumption of discretionary foods and reduced intake of protein-rich meat foods.
AN EMPIRICAL INVESTIGATION TO EXTEND THE THEORY OF PLANNED BEHAVIOR IN THE ORGANIC FOOD CONTEXT

The study aims to utilize the extended model of the theory of planned behavior (TPB), to test the impact on organic food consumption in Pakistan. Despite having an increased awareness about the benefits of organic food, the translation of favorable attitude and positive purchase intention into actual buying behavior remains quite low. A final sample of 778 was taken from Karachi through an online medium by using the purposive sampling technique. The data was analyzed by implementing the partial least squares structural equation modeling (PLS-SEM) technique through SmartPLS software. Findings of the study suggested that all the variables of TPB had a significant positive relationship, whereas the additional variables, including food safety concern, health consciousness, and environmental concern, also had a significant impact on consumers’ attitudes towards organic food. However, the moderating effect of trust between attitude-purchase intention as well as price consciousness between purchase intention-buying behavior relationship appeared to be insignificant. Thus, marketers can utilize the findings of the study to create appealing promotional messages by highlighting the benefits of organic food related to environmental sustainability, food safety as well as on consumers’ well-being. Further, government and policymakers can take actions to create awareness about the organic food consumption among locals to promulgate its usage in Pakistan. Keywords: Organic food, theory of planned behavior, trust, price consciousness.
Synthesis of a Pyrrolo[1,2-a]quinazoline-1,5-dione Derivative by Mechanochemical Double Cyclocondensation Cascade

N-heterocyclic compounds, such as quinazolinone derivatives, have significant biological activities. Nowadays, as the demand for environmentally benign, sustainable processes increases, the application of compounds from renewable sources, easily separable heterogeneous catalysts and efficient, alternative activation methods is of great importance. In this study, we have developed a convenient, green procedure for the preparation of 3a-methyl-2,3,3a,4-tetrahydropyrrolo[1,2-a]quinazoline-1,5-dione through a double cyclocondensation cascade using anthranilamide and ethyl levulinate. Screening of various heterogeneous Brønsted acid catalysts showed that Amberlyst® 15 is a convenient choice. By applying mechanochemical activation in the preparation of this N-heterotricyclic compound for the first time, it was possible to shorten the necessary time to three hours compared to the 24 h needed under conventional conditions to obtain a high yield of the target product.
Investigation of the Effect of Particle Surface Charge and Dispersion Stability on Latex Behavior in Cement Using Non-Ionic and Traditional Latexes

In this work, a novel total non-ionic polystyrene-polyurethane (PS-PU) composite latex was synthesized with polymerizable polyethylene glycol ether. Contrary to traditional styrene-butyl acrylate latex (St-BA), PS-PU has a smaller size and superior dispersion stability, and it is stable in saturated Ca(OH)2 even after 72 h. In fresh-mixed mortars, PS-PU showed a little adverse effect on workability and insignificant air entrainment, with little defoamer consumption. The retardation effect of PS-PU is also much milder than traditional St-BA. As for strength, PS-PU showed a less adverse effect on early and late age compressive strength, but its effect on flexural strength is not as pronounced as St-BA at high dosages (4% and 6%). The different behavior in cementitious materials between PS-PU and St-BA can be reasoned from their different adsorption behavior and surface charge properties, as the results from characterizations suggest. The non-ionic nature of PS-PU made it less prone to destabilization and adsorption, which turned out as the aforementioned behavior in cementitious systems. The difference can further be ascribed to the difference in their polymeric structure and properties.
Recombinant Human Annexin A5 Alleviated Traumatic-Brain-Injury Induced Intestinal Injury by Regulating the Nrf2/HO-1/HMGB1 Pathway

Aims: Annexin A5 (ANXA5) exhibited potent antithrombotic, antiapoptotic, and anti-inflammatory properties in a previous study. The role of ANXA5 in traumatic brain injury (TBI)-induced intestinal injury is not fully known. Main methods: Recombinant human ANXA5 (50 µg/kg) or vehicle (PBS) was administered to mice via the tail vein 30 min after TBI. Mouse intestine tissue was gathered for hematoxylin and eosin staining 0.5 d, 1 d, 2 d, and 7 d after modeling. Intestinal Western blotting, immunofluorescence, TdT-mediated dUTP nick-end labeling staining, and enzyme-linked immunosorbent assays were performed 2 days after TBI. A series of kits were used to assess lipid peroxide indicators such as malonaldehyde, superoxide dismutase activity, and catalase activity. Key findings: ANXA5 treatment improved the TBI-induced intestinal mucosa injury at different timepoints and significantly increased the body weight. It significantly reduced apoptosis and matrix metalloproteinase-9 and inhibited the degradation of tight-junction-associated protein in the small intestine. ANXA5 treatment improved intestinal inflammation by regulating inflammation-associated factors. It also mitigated the lipid peroxidation products 4-HNE, 8-OHDG, and malonaldehyde, and enhanced the activity of the antioxidant enzymes, superoxide dismutase and catalase. Lastly, ANXA5 significantly enhanced nuclear factor E2-related factor 2 (Nrf2) and hemeoxygenase-1, and decreased high mobility group box 1 (HMGB1). Significance: Collectively, the results suggest that ANXA5 inhibits TBI-induced intestinal injury by restraining oxidative stress and inflammatory responses. The mechanisms involved sparking the Nrf2/hemeoxygenase-1-induced antioxidant system and suppressing the HMGB1 pathway. ANXA5 may be an attractive therapeutic candidate for protecting against TBI-induced intestinal injury.
Dynamic Global Vegetation Models: Searching for the balance between demographic process representation and computational tractability

Vegetation is subject to multiple pressures in the 21st century, including changes in climate, atmospheric composition and human land-use. Changes in vegetation type, structure, and function also feed back to the climate through their impact on the surface-atmosphere fluxes of carbon and water. Dynamic Global Vegetation Models (DGVMs), are therefore key component of the latest Earth System Models (ESMs). Model projections for the future land carbon sink still span a wide range, in part due to the difficulty of representing complex ecosystem and biogeochemical processes at large scales (i.e. grid lengths ≈ 100km). The challenge for developers of DGVMs is therefore to find an optimal balance between detailed process representation and the ability to scale-up. We categorise DGVMs into four groups; Individual, Average Area, Two Dimensional Cohort and One Dimensional Cohort models. From this we review popular methods used to represent dynamic vegetation within the context of Earth System modelling. We argue that the minimum level of complexity required to effectively model changes in carbon storage under changing climate and disturbance regimes, requires a representation of tree size distributions within forests. Furthermore, we find that observed size distributions are consistent with Demographic Equilibrium Theory, suggesting that One Dimensional Cohort models with a focus on tree size, offer the best balance between computational tractability and realism for ESM applications.
The Transverse Bearing Characteristics of the Pile Foundation in a Calcareous Sand Area

Reviewing literature revealed that the studies on the bearing characteristics of pile foundations mainly focuses on clay, ordinary sand, loess, saline soil, and other areas. However, few studies on the bearing characteristics of the pile foundation in calcareous sand were conducted. Besides, existing traditional studies ignored the variation of soil compression modulus with depth, and the effect of void ratio on the transverse bearing characteristics of the pile foundation in a calcareous sand area were not well understood. In response of these problems, this study conducted a theoretical investigation on the transverse bearing characteristics of the pile foundation in a calcareous sand area. The transverse bearing characteristics of the pile foundation were derived based on the Pasternak foundation model and the Winkler foundation model, incorporating the heterogeneous distribution of compressive modulus with buried depth. The calculation results of the Pasternak foundation model are closer to the observed results than the Winkler foundation model. Therefore, the following research on the transverse bearing characteristics of the pile foundation in the calcareous sand area adopts the Pasternak foundation model. Then, the effects of the pile length, pile diameter, pile elastic modulus, horizontal load, bending moment, and void ratio on the transverse bearing characteristics of the pile foundation in a calcareous sand area were thoroughly analyzed. Furthermore, the difference between the transverse bearing characteristics of the pile foundation in a calcareous sand area and a quartz sand area was discussed. Results show that the horizontal displacement of the pile top in a calcareous sand area is greater than the quartz sand area under the same conditions.