Miracle-dz/UniFAR-FTUs huggingface dataset:
SAGA: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications

In the exploratory data science lifecycle, data scientists often spent the majority of their time finding, integrating, validating and cleaning relevant datasets. Despite recent work on data validation, and numerous error detection and correction algorithms, in practice, data cleaning for ML remains largely a manual, unpleasant, and labor-intensive trial and error process, especially in large-scale, distributed computation. The target ML application---such as classification or regression models---can be used as a signal of valuable feedback though, for selecting effective data cleaning strategies. In this paper, we introduce SAGA, a framework for automatically generating the top-K most effective data cleaning pipelines. SAGA adopts ideas from Auto-ML, feature selection, and hyper-parameter tuning. Our framework is extensible for user-provided constraints, new data cleaning primitives, and ML applications; automatically generates hybrid runtime plans of local and distributed operations; and performs pruning by interesting properties (e.g., monotonicity). Instead of full automation---which is rather unrealistic---SAGA simplifies the mechanical aspects of data cleaning. Our experiments show that SAGA yields robust accuracy improvements over state-of-the-art, and good scalability regarding increasing data sizes and number of evaluated pipelines.
Development and Validation of a Motion Dictionary to Create Emotional Gestures for the NAO Robot

Social robots are becoming increasingly present in our daily lives and will continue to be integrated into society to help people with their daily routines. In this paper, we create a general motion dictionary for the NAO robot, to generate emotional gestures when the robot is interacting with humans. We implemented the motions in the context of a museum setting, wherein NAO interacts with visitors as a guide. We present a Motion Dictionary which integrates each gesture’s features and the corresponding emotions. By using the Choregraphe simulator to create the motions and validate them with a real robot, we intend to simplify and help with the generation of emotional gestures for human-robot interaction.
Four decades of full-scale nitrous oxide emission inventory in China

ABSTRACT China is among the top nitrous oxide (N2O)-emitting countries, but existing national inventories do not provide full-scale emissions including both natural and anthropogenic sources. We conducted a four-decade (1980–2020) of comprehensive quantification of Chinese N2O inventory using empirical emission factor method for anthropogenic sources and two up-to-date process-based models for natural sources. Total N2O emissions peaked at 2287.4 (1774.8–2799.9) Gg N2O yr−1 in 2018, and agriculture-developed regions, like the East, Northeast, and Central, were the top N2O-emitting regions. Agricultural N2O emissions have started to decrease after 2016 due to the decline of nitrogen fertilization applications, while, industrial and energetic sources have been dramatically increasing after 2005. N2O emissions from agriculture, industry, energy, and waste represented 49.3%, 26.4%, 17.5%, and 6.7% of the anthropogenic emissions in 2020, respectively, which revealed that it is imperative to prioritize N2O emission mitigation in agriculture, industry, and energy. Natural N2O sources, dominated by forests, have been steadily growing from 317.3 (290.3–344.1) Gg N2O yr−1 in 1980 to 376.2 (335.5–407.2) Gg N2O yr−1 in 2020. Our study produces a Full-scale Annual N2O dataset in China (FAN2020), providing emergent counting to refine the current national N2O inventories.
Multilingualism, multicultural experience, cognition, and creativity

The once widely held notion that bilingualism is related to enhanced cognitive functions has recently been challenged, in particular among young adults, as opposed to children and older adults. This strand of research, however, is essentially focused on executive functions (e.g., attention, inhibition, and shifting). But there is another side to the bilingualism-cognition story. Indeed, growing evidence has shown that bilingualism, and by extension multilingualism, are associated with enhanced creativity. However, this relation is arguably quite complex, for several reasons. First, creativity is a fuzzy notion; it is usually conceptualized as a mix of cognitive, personality and motivational factors. Second, multilingual people generally have a richer multicultural experience than monolingual people. In addition, multicultural experience itself is also positively related to creativity. Hence, there are manifold relations between cognition, creativity, multilingualism, and multicultural experience. In this brief research report, using a latent variables model which replicates some of our recent findings, we show that both multilingualism and multicultural experience are positively associated with creativity, even when controlling for cognitive abilities (divergent thinking and intelligence). We discuss these results in a perspective that considers methodological challenges and factors that are relevant to goal-directed behavior.
The savanna forests of mainland southeast Asia

regions of Burma. Schimper (1903, 354), however, was the first plant geographer to give the term wide currency in his now classic work, Plant geography upon a physiological basis, originally published in German in 1898. In Chapter 3, he divides tropical woodlands into four main vegetation formations on the basis of their essential climatic affinities, thus recognizing for the first time rain forest,
Gender Phenomenology: Interaction and Parenting Style for Early Children In The Family

Communication and interaction dynamics are fundamental to creating harmony in the family. This study investigates interaction and communication patterns in the family environment in the rural area of Bengkulu. This research uses a qualitative methods with phenomenology approach. Phenomenological studies use Husserl's theory where what is depicted is the reality of events in the field The research results show differences in interaction and parenting patterns within the family, primarily related to the role of the husband and the dominance of communication between the mother and the child. The following finding is that parenting styles that tend to pamper children or encourage children to be independent result in limited access to gender equality within the family. These findings can trigger various debates, ranging from relevance to social and cultural change, the influence of other factors in shaping children's gender roles, the need for policy interventions, to considerations related to the generalizability of the findings, gender theory, informal education, and cultural change in the context of role research. gender and parenting. This research implies that informal education needs to be transformed to support increasing parental capacity to increase gender-responsive parenting competencies.
Sphingolipids in Childhood Asthma and Obesity (SOAP Study): A Protocol of a Cross-Sectional Study

Asthma and obesity are two of the most common chronic conditions in children and adolescents. There is increasing evidence that sphingolipid metabolism is altered in childhood asthma and is linked to airway hyperreactivity. Dysregulated sphingolipid metabolism is also reported in obesity. However, the functional link between sphingolipid metabolism, asthma, and obesity is not completely understood. This paper describes the protocol of an ongoing study on sphingolipids that aims to examine the pathophysiology of sphingolipids in childhood asthma and obesity. In addition, this study aims to explore the novel biomarkers through a comprehensive multi-omics approach including genomics, genome-wide DNA methylation, RNA-Seq, microRNA (miRNA) profiling, lipidomics, metabolomics, and cytokine profiling. This is a cross-sectional study aiming to recruit 440 children from different groups: children with asthma and normal weight (n = 100), asthma with overweight or obesity (n = 100), overweight or obesity (n = 100), normal weight (n = 70), and siblings of asthmatic children with normal weight, overweight, or obesity (n = 70). These participants will be recruited from the pediatric pulmonology, pediatric endocrinology, and general pediatric outpatient clinics at Sidra Medicine, Doha, Qatar. Information will be obtained from self-reported questionnaires on asthma, quality of life, food frequency (FFQ), and a 3-day food diary that are completed by the children and their parents. Clinical measurements will include anthropometry, blood pressure, biochemistry, bioelectrical impedance, and pulmonary function tests. Blood samples will be obtained for sphingolipid analysis, serine palmitoyltransferase (SPT) assay, whole-genome sequencing (WGS), genome-wide DNA methylation study, RNA-Seq, miRNA profiling, metabolomics, lipidomics, and cytokine analysis. Group comparisons of continuous outcome variables will be carried out by a one-way analysis of variance or the Kruskal–Wallis test using an appropriate pairwise multiple comparison test. The chi-squared test or a Fisher’s exact test will be used to test the associations between categorical variables. Finally, multivariate analysis will be carried out to integrate the clinical data with multi-omics data. This study will help us to understand the role of dysregulated sphingolipid metabolism in obesity and asthma. In addition, the multi-omics data from the study will help to identify novel genetic and epigenetic signatures, inflammatory markers, and mechanistic pathways that link asthma and obesity in children. Furthermore, the integration of clinical and multi-omics data will help us to uncover the potential interactions between these diseases and to offer a new paradigm for the treatment of pediatric obesity-associated asthma.
Heterogeneous influence of neighborhood features on community satisfaction: a comparative study in Beijing’s urban and suburban communities

Introduction Community satisfaction contributes to urban planning, community development, and policy formulation. Yet, we lack comprehensive knowledge about how different neighborhood features impact satisfaction, especially across diverse community types. Methods Relied on a sample of 4,009 respondents in Beijing, this study examines the influence of neighborhood features on community satisfaction through neighborly interactions, focusing on the heterogeneity between urban and suburban communities, using structural equation models. Results The results reveal that community service and community management exert significant influences on community satisfaction, primarily mediated by the role of neighborly interactions. Then, transportation convenience positively influences community satisfaction in urban areas, while no housing property has a negative effect in suburban communities. Discussion These results highlight varied neighborhood effects on community satisfaction, informing tailored urban planning and policies that address unique traits and requirements of different communities.
Effect of Different Doses of Unripe Plantain (Musa paradisiaca) or Their Combinations with Ginger (Zingiber officinale) on Some Biochemical Parameters, and Hepatic and Pancreatic Histology of Streptozotocin-Induced Diabetic Rats

Background: To determine the effect of different doses of unripe plantain (200, 400 and 600 g/kg) or their combinations with ginger (25 g/kg) on some biochemical parameters, hepatic and pancreatic histology of streptozotocin induced diabetic rats, and to analyze the bioactive constituents of the diets using standard techniques. Method. Following induction of diabetes mellitus, forty-five male albino rats (6 weeks old) were divided into nine groups of five rats each as follows: Groups 1 and 2 (control and diabetic) were fed rat pellets; group 3 (diabetic rats fed with 200 g/kg unripe plantain incorporated feed (UPIF); group 4 (diabetic rats fed with 400 g/kg UPIF), group 5 (diabetic rats fed with 600 g/kg UPIF), group 6 (diabetic rats fed with 200 g/kg unripe plantain + 25 g/kg ginger incorporated feed (GIF)); group 7 (diabetic rats fed with 400 g/kg unripe plantain + 25 g/kg GIF); group 8 (diabetic rats fed with 600 g/kg unripe plantain + 25 g/kg GIF) and group 9 (diabetic rats fed rat pellets and administered glibenclamide (2.5 mg/kg body weight). The study lasted for 28 days. Results. STZ administration induced hyperglycemia, systemic oxidative stress, inflammation and also altered the liver and pancreas histology of the rats. Conclusion. Supplementation with unripe plantain (400 g/kg) and ginger (25 g/kg) diet mitigated most of these changes better than other treatment diets or glibenclamide which could be attributed to the bioactive compounds in it as seen from the Gas Chromatography Mass Spectrophotometric analysis
Soybean LEAFY COTYLEDON 1: A Key Target for Genetic Enhancement of Oil Biosynthesis

Soybean is an important oilseed crop that is used as a feed for livestock and has several industrial uses. Lipid biosynthesis and accumulation primarily occur during seed development in plants. This process is regulated by several transcription factors and interconnected biochemical pathways. This study investigated the role of glycine max LEAFY COTYLEDON 1 (GmLEC1) in soybean seed development and the accumulation of storage reserves. The overexpression of GmLEC1 significantly increased the amount of triacylglycerol (TAG) in transgenic Arabidopsis seeds compared to the wild-type and an atlec1 mutant. Similarly, the high expression of GmLEC1 led to a 12% increase in TAG content in transgenic soybean hairy roots compared to the control. GmLEC1 also altered the fatty acid composition in transgenic Arabidopsis seeds and soybean hairy roots. Additionally, the overexpression of GmLEC1 resulted in a reduction in starch accumulation in seeds and vegetative tissues, as well as changes in cotyledon and seed morphology. The cotyledons of the atlec1 mutant displayed abnormal trichome development, and the seeds were smaller and less tolerant to desiccation. A complementation assay in Arabidopsis restored normal cotyledon phenotype and seed size. The main downstream targets of LEC1 are GL2 and WRI1, which were found to participate in fatty acid biosynthesis and trichome formation through the regulation of phytohormones and various transcription factors involved in seed development and maturation. The findings of this study suggest that GmLEC1 controls seed development and regulates the accumulation of seed storage compounds. Furthermore, these results demonstrate that GmLEC1 could be a reliable target for the genetic improvement of oil biosynthesis in soybean.
ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFs

We leveraged the power of ChatGPT and Bayesian optimization in the development of a multi-AI-driven system, backed by seven large language model-based assistants and equipped with machine learning algorithms, that seamlessly orchestrates a multitude of research aspects in a chemistry laboratory (termed the ChatGPT Research Group). Our approach accelerated the discovery of optimal microwave synthesis conditions, enhancing the crystallinity of MOF-321, MOF-322, and COF-323 and achieving the desired porosity and water capacity. In this system, human researchers gained assistance from these diverse AI collaborators, each with a unique role within the laboratory environment, spanning strategy planning, literature search, coding, robotic operation, labware design, safety inspection, and data analysis. Such a comprehensive approach enables a single researcher working in concert with AI to achieve productivity levels analogous to those of an entire traditional scientific team. Furthermore, by reducing human biases in screening experimental conditions and deftly balancing the exploration and exploitation of synthesis parameters, our Bayesian search approach precisely zeroed in on optimal synthesis conditions from a pool of 6 million within a significantly shortened time scale. This work serves as a compelling proof of concept for an AI-driven revolution in the chemistry laboratory, painting a future where AI becomes an efficient collaborator, liberating us from routine tasks to focus on pushing the boundaries of innovation.
Exploring the inherent mechanism of residents’ participation behavior in neighborhood regeneration projects: an empirical study using an extended IMB model in China

Introduction Resident participation has gained increasing prominence and significance in the pursuit of sustainable neighborhoods regeneration. However, the current state of resident participation practices remains beset by several challenges, which present formidable impediments to the initiation and execution of neighborhood regeneration initiatives. This study aims to investigate the underlying mechanisms of residents’ participation behavior to enhance resident participation in neighborhood regeneration projects. Methods The present study employs the extended Information-Motivation-Behavioral (IMB) model to examine the determinants and mechanisms influencing residents’ willingness and participation in neighborhood regeneration projects, with a specific focus on the Chinese context. Drawing upon data from 477 meticulously validated questionnaires administered to residents, the study applies structural equation modeling (SEM) to unravel the intrinsic dynamics of residents’ participation behavior. Results The empirical findings of this research reveal that information, motivation, and the perceived local government support all exert a significant impact on residents’ participation willingness. Notably, motivation emerges as the most influential factor. Discussion This study uncovers a direct influence of local government organizations on both residents’ willingness and their actual participation, suggesting that government organizations can spearhead innovative strategies to bolster residents’ willingness and furnish avenues for translating willingness into tangible participation. The outcomes of this study furnish an indispensable theoretical framework and offer policy recommendations that hold paramount importance for the deployment of novel interventions geared toward stimulating active involvement of residents in neighborhood regeneration.
A multi-center prospective study of plant-based nutritional support in adult community-based patients at risk of disease-related malnutrition

Introduction There is an emerging need for plant-based, vegan options for patients requiring nutritional support. Methods Twenty-four adults at risk of malnutrition (age: 59 years (SD 18); Sex: 18 female, 6 male; BMI: 19.0 kg/m2 (SD 3.3); multiple diagnoses) requiring plant-based nutritional support participated in a multi-center, prospective study of a (vegan suitable) multi-nutrient, ready-to-drink, oral nutritional supplement (ONS) [1.5 kcal/mL; 300 kcal, 12 g protein/200 mL bottle, mean prescription 275 mL/day (SD 115)] alongside dietary advice for 28 days. Compliance, anthropometry, malnutrition risk, dietary intake, appetite, acceptability, gastrointestinal (GI) tolerance, nutritional goal(s), and safety were assessed. Results Patients required a plant-based ONS due to personal preference/variety (33%), religious/cultural reasons (28%), veganism/reduce animal-derived consumption (17%), environmental/sustainability reasons (17%), and health reasons (5%). Compliance was 94% (SD 16). High risk of malnutrition (‘MUST’ score ≥ 2) reduced from 20 to 16 patients (p = 0.046). Body weight (+0.6 kg (SD 1.2), p = 0.02), BMI (+0.2 kg/m2 (SD 0.5), p = 0.03), total mean energy (+387 kcal/day (SD 416), p < 0.0001) and protein intake (+14 g/day (SD 39), p = 0.03), and the number of micronutrients meeting the UK reference nutrient intake (RNI) (7 vs. 14, p = 0.008) significantly increased. Appetite (Simplified Nutritional Appetite Questionnaire (SNAQ) score; p = 0.13) was maintained. Most GI symptoms were stable throughout the study (p > 0.06) with no serious adverse events related. Discussion This study highlights that plant-based nutrition support using a vegan-suitable plant-based ONS is highly complied with, improving the nutritional outcomes of patients at risk of malnutrition.
Investigation of Antidiabetic Activities of Cu(II) Complex of Anacardium occidentale Leaves Crude Extract

Many synthetic chemical drugs have been widely used for the treatment of diabetes. However, many of these drugs are not locally available, are less effective, and are unaffordable for many diabetic patients in developing and underdeveloped countries. Therefore, in order to search for a locally available, effective, and cost-effective antidiabetic agent, this study synthesized the Cu(II) complex of crude leaf extract of Anacardium occidentale and investigated its antidiabetic activity in alloxan induced albino rats. The leaf crude extract and its metal complex were characterized using atomic absorption spectroscopy (AAS) and infrared (IR) spectroscopy. Experimental diabetic animals were induced by a single intraperitoneal injection of alloxan monohydrate at a single dose of 140 mg/kg body weight (b.wt.), and animals with fasting blood glucose levels (BGL) > 200 mg/dl were considered diabetic. Metformin was used as a standard drug. Fasting blood glucose level (BGL) and body weight were examined in assessing the antidiabetic activities of the crude extract and its complex in the rats. One-way ANOVA was used to determine the antidiabetic activity at a statistical significance level of p < 0.05. The hypsochromic shifts of C=O and O-H bands in the Cu(II) complex and the high concentration of the metal ion in the metal complex established the coordination of the crude extract with the metal ion. A more significant reduction in the blood glucose level and increase in body weight in alloxan-induced diabetic albino rats was observed when treated with the leaves crude extract and its Cu(II) complex than when treated with the standard drug metformin. It can be concluded that the Cu(II) complex of Anacardium occidentale leaf extract at a dose of 400 mg/kg wt is more effective without abnormal weight gain and could be considered as a potential antidiabetic drug to replace some of the less effective and expensive conventional antidiabetic drugs.
Preparation and Space Charge Properties of Functionalized Zeolite/Crosslinked Polyethylene Composites with High Thermal Conductivity

Nanocomposite doping is an effective method to improve the dielectric properties of polyethylene. Meanwhile, the introduction of thermal conductivity groups in crosslinked polyethylene (XLPE) is also an effective way to improve the thermal conductivity. Nano-zeolite is an inorganic material with a porous structure that can be doped into polyethylene to improve the insulation performance. In this paper, hyperbranched polyarylamide (HBP) with a high thermal conductivity and an auxiliary crosslinking agent (TAIC) was grafted on the surface of ZSM-5 nano-zeolite successively to obtain functionalized nano-zeolite (TAICS-ZSM-5-HBP) (the “S” in TAICS means plural). The prepared functionalized nano-zeolite was doped in polyethylene and grafted under a thermal crosslinking reaction to prepare nanocomposites (XLPE/TAICS-ZSM-5-HBP). The structural characterization showed that the nanocomposite was successfully prepared and that the nanoparticles were uniformly dispersed in the polyethylene matrix. The space charge of the TAICS-ZSM-5-HBP 5wt% nanocomposite under a high electric field was obviously inhibited. The space charge short-circuit test showed that the porous structure of the nano-zeolite introduced more deep traps, which made the trapped charge difficult to break off, hindering the charge injection. The introduction of TAICS-ZSM-5-HBP particles can greatly improve the thermal conductivity of nanocomposites. The thermal conductivity of the XLPE/5wt% and XLPE/7wt% TAICS-ZSM-5-HBP nanocomposites increased by 42.21% and 69.59% compared to that of XLPE at 20 °C, and by 34.27% and 62.83% at 80 °C.