Miracle-dz/UniFAR-FTUs huggingface dataset:
Ethylacetate Flavonoid Bio-compounds of Honey with Mitigating Anti-hyperlipidemic and Antioxidant Properties in Carbohydrate and Lipid Enriched Diets – Obese Rats

Honey is a rich material source of medicinal nutrients. This study investigated the hypolipidemic and antioxidant effects of honey, 50% fresh lime juice, and 50% honey (MIX) and ethylacetate flavonoid-rich fraction of honey (EAFH) in carbohydrate and lipid-enriched diets-obese rats. At phase 1, 54 male neonate Wistar albino rats were, divided into 3 groups of 18 rats. Groups 2 and 3 were fed a carbohydrate-enriched diet (CHD) and lipid-enriched diet (LP) for 14 days, and rats with Lee index ≥ 0.3 were considered obese. Rats (phase-2) were regrouped into 7 groups of 6 rats, and treated with honey, MIX, and EAFH.Flavonoids bio-compounds in EAFH characterized by HPLC (High-performance liquid chromatography) include; gallic acid, epigallocatechin, napthoresorcinol, and quercetin. Lee's index after obesity induction was ≥ 0.3. Adiposity index, diet intake, and body and organ weight of obese rats were significantly (p < 0.05) reduced after honey, MIX, and EAFH treatments compared to control. Significant (p < 0.05) decreased concentrations of glucose, leptin, insulin, low-density lipoprotein (LDL), total cholesterol (TC), triacylglycerol (TAG), very low-density lipoprotein (VLDL), 3-Hydroxy-3-methylglutaryl (HMG) coenzyme A (CoA) reductase activity (HMGCOARA), atherogenic risk index (ARI) and coronary risk index (CRI) and increase in high-density lipoprotein (HDL) after treatment with honey, MIX and EAFH was observed compared control and AOI. Antioxidant parameters of obese rats were significantly (p < 0.05) improved compared to control and AOI rats. Honey could serve as a model pharmacotherapy for treating dyslipidemia and oxidative stress linked to obesity.
The 100 most in ﬂ uential articles in congenital heart disease in 2000 – 2020: A bibliometric analysis

Background: Congenital heart disease (CHD) is the most common type of major congenital malformations. CHD outcomes have improved in the past 20 years, and research efforts in the ﬁ eld have increased exponentially. The purpose of this investigation is to identify the most in ﬂ uential recent publications related to CHD
EMBA: Entity Matching using Multi-Task Learning of BERT with Attention-over-Attention

Entity matching is a crucial data integration process as it identifies whether two records refer to the same real-world object. Since shared identifiers are not always available, learning to match based on entity descriptions is an important task. While deep learning methods based on pre-trained transformers have been proposed to automate the entity matching process, these models only utilize the special token representation (i.e., [CLS]) to predict matches. However, this can ignore rich and nuanced contextual information in the descriptions, thereby yielding sub-optimal matching performance. We propose EMBA , a multi-task learning method with an attention-over-attention mechanism that leverages the individual token representations for the down-stream tasks to better capture the information present in the descriptions of the two entities. Our evaluation across 7 entity matching benchmark datasets shows that EMBA achieves state-of-the-art performance, including up to an 8% improvement in F1 performance, over the existing dual-objective model. Our ablation study highlights the importance of using individual token representations. We also analyze the matching decision using both LIME explanations and attention score visualizations on a case study to illustrate the potential of EMBA .
Robust superhydrophobic resin sponges modi�ed by polydimethylsiloxanes/epoxy-based copolymer for high-eciency oil/water separation

The development of recyclable, durable and widely adaptable porous hydrophobic materials is of vital importance for the effective separation of leaking oil-water mixtures. Herein, we functionally modi�ed melamine formaldehyde resin sponge (MFRS) with PMMA, PDMS-PMMA and PDMS-PGMA via a facile solution-immersion process. Compared with PMMA-coated MFRS, the improvement of the water contact angle (WCA) and oil-water mixture separation e�ciency of PDMS-PMMA/MFRS were su�cient enough to verify that the introduction of PDMS block enhanced the hydrophobic performances of the material. Moreover, the importance of the GMA block in PDMS-PGMA/MFRS was con�rmed by the excellent performance of the material in oil-water separation recycling experiments, with 91.5% separation e�ciency after 8 runs. The fabricated PDMS-PMMA/MFRS with improved WCA (155°) and oil-water mixture separation e�ciency (99.1%), demonstrated superhydrophobic property, which is attributed to the introduction of hydrophobic block PDMS and coating-induced surface geometric folds. Besides, the acid-resistance and widely adaptable (e�cient separation of various oil-water mixtures) performances of PDMS-PGMA/MFRS were experimentally con�rmed. The freely available manufacturing raw materials and facile functionalization process of PDMS-PMMA/MFRS offers possibilities for its adoption in the e�cient cleanup of oil spills.
The Role of Language Models and Chatbots in Education: A Comprehensive Review

This review article explores the use of chatbots and language models in education. Language models and chatbots have drawn a lot of attention as prospective tools to improve teaching and learning processes because to the rapid growth of artificial intelligence (AI) and natural language processing (NLP) technologies. The outcomes from previous studies are summarized in this review, which also discusses chatbots and models in educational settings. H review provides a thorough account of the state of the area today by referencing a variety of research articles, conference proceedings, and literature reviews. The essay emphasises how these technologies may boost student engagement, customise learning opportunities, and offer prompt feedback and support. It does, however, also address the limitations, privacy issues, and ethical issues related to their application. Overall, this analysis attempts to add to the ongoing discussion on the use of chatbots and language models in education and provides insights for policymakers, researchers, and teachers.
IMPACTS OF VARYING GERMINATION PERIODS ON THE NUTRITIONAL QUALITY AND PROTEIN AVAILABILITY OF FOUR LEGUMES

To improve the quality and digestibility of legumes, and to examine effects of varying germination periods (6, 12 and 18 hrs) on the protein quantity, digestibility, ash, moisture, fibre and fat content of locally available legumes namely green gram, chickpea, lentil and moth bean the present study was undertaken. It was found that the protein content and protein digestibility of legumes increased by 4.87 to 42.79 and 3.48 to 19.77 per cent, respectively depending on the type of legume, and length of germination. The highest per cent increase in protein content was found in chickpea (42.79%) germinated for 18 hrs. Maximum increase in in-vitro protein digestibility (19.77 %) was noticed in moth bean, ranging from 5.31 to 19.77 per cent at 6, 12 and 18 hrs of germination. Highest enhancement in protein value was observed in legumes which were germinated for 18 hrs. In comparison to raw, a significant reduction was noted in the ash content of all types of germinated legumes and in terms of per cent, the decrease varied from 2.98 to 8.46. Moisture and crude fibre content increased significantly where fat content was decreased in all legumes. Processed legumes can serve as a functional food for augmenting the nutritional status of vulnerable sections of society.
“Cost-effective markers to identify metabolically healthy/unhealthy “Cost-effective markers to identify metabolically healthy/unhealthy individuals and their future risk for cardiovascular disorders” individuals and their future risk for cardiovascular disorders”

Background : With the rising prevalence of metabolically healthy obese, it becomes essential to identify markers to differentiate them from metabolically unhealthy obese and their future risk for cardiovascular disorders (CVD). The study aimstoidentifysuitablemarkersforriskstrati ﬁ cationofmetabolicallyhealthy/unhealthyindividualsandtheirriskforCVD. Method : Total 84 individuals aged 18 e 60 years of age without any comorbidities were enrolled. Their demographic details along with anthropometric measurements were noted. The biochemical parameters like fasting glucose, insulin, lipid pro ﬁ le, and serum adipokines were estimated. Insulin resistance (IR) markers and atherogenic indices were calculated. The data were analyzed on Microsoft Excel 2010 lnk sheet. P-value of < 0.05 was considered statistically signi ﬁ cant. Results : Parameters between obese and non-obese were divided into obese and non-obese, males and females, IR and IS (insulin sensitivity). We found neck circumference (NC), IR markers, triglyceride/high density lipoprotein (TGL/ HDL), lipid accumulation product (LAP) index had signi ﬁ cant results with P-value of < 0.05 to differentiate between metabolically healthy and metabolically unhealthy individuals. Conclusion : The NC, TGL/HDL, and LAP index can be used as cost-effective markers to detect metabolically healthy/ unhealthy individuals and their risk for CVD.
Community Benefit and the New IRS Mandate

Historically, not-for-profit hospitals and academic medical centers have been exempt from federal income taxes because of their mission and commitment to provide health services and outreach activities designed to address and improve community health, particularly for people who are most in need, such as the poor and those without adequate access to health care. Examples of how hospitals fulfill their mission and community benefit commitment in return for tax-exempt status include: charity care (uncompensated care), cash/in-kind contributions to community groups, health professional education, community-building activities that improve health and quality of life, generalizable research funded by tax-exempt sources, and providing outreach services designed to improve specific population health needs. However, there has been growing concern that some hospitals’ community benefit contributions may not be sufficient to warrant their tax-exempt status.
Viruses and Cajal Bodies: A Critical Cellular Target in Virus Infection?

Nuclear bodies (NBs) are dynamic structures present in eukaryotic cell nuclei. They are not bounded by membranes and are often considered biomolecular condensates, defined structurally and functionally by the localisation of core components. Nuclear architecture can be reorganised during normal cellular processes such as the cell cycle as well as in response to cellular stress. Many plant and animal viruses target their proteins to NBs, in some cases triggering their structural disruption and redistribution. Although not all such interactions have been well characterised, subversion of NBs and their functions may form a key part of the life cycle of eukaryotic viruses that require the nucleus for their replication. This review will focus on Cajal bodies (CBs) and the viruses that target them. Since CBs are dynamic structures, other NBs (principally nucleoli and promyelocytic leukaemia, PML and bodies), whose components interact with CBs, will also be considered. As well as providing important insights into key virus–host cell interactions, studies on Cajal and associated NBs may identify novel cellular targets for development of antiviral compounds.
Multivariate analysis of Pliocene-Pleistocene benthic foraminifera from DSDP site 214, Eastern Indian Ocean: paleoceanic and paleoclimatic implications

This study attempts to quantitatively analyse Pliocene- Pleistocene benfhic foraminifera from 61 samples from Deep Sea Drilling Project (DSDP) site 214, eastern Indian Ocean. R-mode factor analysis of percentage abundance data of 38 highly ranked species has enabled to recognize S environmentally significant species assemblages. Assemblage I is characterized by Cibicides wuelkrstorfi I'uliema bulloides, Uvigerina hispido-costata, Gavelinopsis lobatulus. Cibicides bradyi, Globocassidulina pacifica, and Stihs lamella kpidula. This assemblage is indicative of well-oxygenated, food-iim ited, and high energy deep water conditions. (Assemblage 2) -a high productivity assemblage includes I ivigerina proboscidea, Chrysalogonium equisetiformb, and Oridorsalis umbonalus. Assemblage 3 is defined by Astrononion umbilicaiidum. Ehrenhergina carinata, Globocassidulina subglobosa.
Géodésie multi-technique pour la surveillance haute fréquence de glissements de terrains.

RESUME : Le suivi de glissements de terrain est un exercice complexe qui fait appel a de nombreuses sciences. L’installation de stations GNSS permanentes et le traitement des donnees RINEX sont une possibilite. Une premiere partie de ce projet a consiste a tester la methode PPP sur des donnees bi-frequence en vue de son application pour le suivi de glissement de terrain. Le logiciel canadien SCRS-PPP a ete utilise. Un traitement automatise des donnees a egalement ete mis en place. Dans un deuxieme temps du materiel GNSS mono-frequence a bas cout, les recepteurs GEOMON, a ete teste et mis en place sur le glissement de terrain de Super-Sauze. Enfin une derniere etude plus exploratoire a ete realisee sur des couples de photos pour generer des MNT en utilisant la bibliotheque OpenCV. //////////////////////////////////////////////////////////// TRADUCTION : Landslides monitoring is an intricate exercise that involves loads of sciences. The installation of permanent GNSS networks on landslides and the processing of RINEX data is a solution. This project’s first goal was to test the PPP method on bi-frequency data in order to check if it can be applied to landslides monitoring. The Canadian software SCRS-PPP was used. Then a completely automated processing was developed. The project’s second step was to test and install low-cost mono-frequency material on the landslide of Super-Sauze. The GEOMON receivers were tested. Last but not least, some researches were done on generating surface models using stereoscopic images and the OpenCV tool.
A 200-V Half-Bridge Monolithic GaN Power IC With High-Speed Level Shifter and dVS/dt Noise Immunity Enhancement Structure

Benefiting from the gallium nitride (GaN) monolithic process, a half-bridge power IC can fully unlock the high-speed capabilities of GaN devices by integrating drive circuits and power switches on the same die. However, the high operating frequency of the GaN system puts forward higher requirements on the delay and reliability of the level shifter, which serves as the key component for the half-bridge power IC. This work develops a 200-V half-bridge monolithic GaN power IC, adopting an efficient and concise level-shifting solution to mitigate the adversely affecting on speed caused by the absence of p-type devices in GaN processes. In addition, this design includes a noise immunity enhancement structure, which eliminates <inline-formula> <tex-math notation="LaTeX">$\text {d}V_{S}/\text {d}t$ </tex-math></inline-formula> noise without compromising response time. The proposed GaN power IC has been implemented on a 1-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> GaN-on-silicon process, and experimental results have already been performed to verify its outstanding characteristics.
STUDI PERFORMANCE TURBIN ANGIN AKSIAL KECEPATAN RENDAH 3 BLADE DENGAN PROFIL AIRFOIL NACA 6 DIGIT

Salah satu tantangan pengembangan turbin angin beradasarkan data potensi angin pada wilayah Maluku adalah sebagian besar wilayah mempunyai potensi angin kecepatan rendah yang berkisar antara 2-6 m/s, sehingga diperlukan analisis tepat penerapan teknologinya. Koefisien daya turbin aliran terbuka dalam banyak penelitian terdahulu untuk turbin aliran terbuka mempunyai koefesien daya cukup rendah walau beberapa hasil simulasi hidrodinamik menunjukkan koefesien daya mendekati nilai Betz limit, dimana bentuk airfoil blade yang digunakan mempunyai pengaruh yang besar. Penelitian ini merupakan tinjauan penggunaan profil airfoil National Advisory Committee for Aeronautics (NACA) 6 digit pada data base NACA dengan melakukan eksperimen dengan pembebanan bertahap pada range kecepatan angin 2-6 m/s dengan putaran turbin sesuai nilai tip speed ratio (TSR) yang ditetapkan. Perbandingan daya maksimum atau daya pada kecepatan rotasi optimum dilakukan melalui tracking daya maksimum yaitu pada TSR atau kecepatan rotasi optimum untuk menentukan kinerja airfoil. Hasil tracking titik maximum power point (MPP) yang diperoleh menunjukan bahwa MPP model turbin dalam kasus ini adalah 0.86 kali daya turbin (Betz limit) atau 0.51 kali daya kinetic angin, sehingga profil airfoil NACA 6 digit ini dapat digunakan pada turbin angin dengan kecepatan 2-8 m/s.
Effect of Multiple Combination Modes of Reactive Components on the Response of Electromagnetic Vibration Energy Harvester

As reactive components, capacitors and inductors play an important role in the tuning of energy harvesters, but only a few monotonic connection modes between reactive components and load resistors are usually considered. The impact of diverse connection modes between reactive components and load resistor on energy harvester is worth exploring. In this work, an accurate equivalent circuit model for a specific vibration energy harvester is established. Using this model, the fact that different connection modes have an impact on the response of the energy harvester has been proved. This work provides a reference for setting capacitor and inductor values to maximize load power at fixed applied frequencies. Visual simulation results demonstrate that specific connection modes will cause relatively large load power within a larger range of reactive component parameter settings. At the same time, it is verified that specific connection modes will perform better than other modes under variable applied frequencies, giving reasonable suggestions for the selection of connection modes in this situation.
A Comparison of Outdoor 3D Reconstruction between Visual SLAM and LiDAR SLAM

This paper presents a comprehensive comparison between Visual SLAM, utilizing an RGB-D camera and ORB-SLAM3 algorithm, and LiDAR SLAM, employing a 3D LiDAR sensor and SC-LeGO-LOAM algorithm, for outdoor 3D reconstruction. Our evaluation covers their performances in terms of visual perception, computational requirements, accuracy, robustness, and map completeness in outdoor mapping. The results show that visual SLAM provides more detailed visual representations, while LiDAR SLAM demonstrates advantages in efficiency, robustness, and overall map reconstruction for outdoor environments. Hence, LiDAR SLAM is deemed more suitable for outdoor mapping applications, particularly for robotics and autonomous systems navigation in complex outdoor environments.
Battery Energy Storage System Optimal Sizing in a Battery Electric Vehicle Fast Charging Infrastructure

The growing number of battery electric vehicles (BEV) and plug-in hybrid electric vehicles (PHEV) brings the need of more fast charging stations across cities and highway stops. This charging stations toned to be connected to the electrical grid via existent facilities, causing constraints such as power availability. This study brings an approach for the planning and operation of such energy hubs by coping with this challenge by deploying a Battery-based Energy Storage System (BESS). With the BESS integration, it is expected to minimize utilization and overall energy costs, preventing infrastructure upgrades, and enhancing the integration of renewable energy resources. This approach sizes a stationary energy storage system with lithium-ion technology batteries through a co-optimization of the planning and operation stages, integrated in an electrical installation that will implement fast charging stations. This sizing is a result of an optimization based on the interior point algorithm, where the objective is to minimize the costs of maintenance, operation, and installation of a BESS, while properly modelling the different resources such as the BESS, the charging station and EV charging and PV generation.
Recognition of Weather Phenomena with Low Visibility on Basis of Improved Dichromatic Atmospheric Scattering Model

Concerning various kinds of low visibility weather phenomena and based on the existing dichromatic atmospheric scattering model,a modified calculating method of dichromatic model is proposed,to range weather phenomenon via revising the atmospheric scattering direction,improving the calculating method of vector angles and adding humidity parameter information.The improved algorithm model has higher stability,considering that the scatter light direction is not all consistent and pixels have three-dimensional character in the RGB space.Embedding the algorithm into the model and computing the corresponding eigenvalues,these weather phenomena can be recognized through the empirical thresholds.By improving the calculating method and processing the seasonal data of Columbia University and two-month data of Zhangye Observatory,it is shown that the improved method is excellent in identifying various kinds of low visibility weather phenomena,such as fog,haze,dust blowing,dust floating,and sand storm,whose total identification rates for the above two regions are 73.2%,90.5%,respectively.
Compaction trend and its implication in the overpressures estimate for the formations of the Colombian Foothills of the Eastern Plains

The main objective of this article is to raise a hypothesis to explain the main causes of overpressure in the formations of the Tertiary sequence for the stratigraphic column of the Colombian Foothill. For this purpose it was conducted an analysis of compaction trends from the Guayabo Formation until the unit C8 of the Carbonera Formation; in the area of foreland, where the tectonic affectation has been minimal. This analysis integrates the most representative basins modeling and tectono-stratigraphic events for such sedimentary sequence. It mapped overpressure areas, comparing them with geological parameters such as the subsidence, uplift, heat flow and speeds of sedimentation, to identify relations of these parameters with the overpressure of the area. As the main result, it stresses the identification of different sedimentation and compacting rates for each tectono-stratigraphic sequence and its relationship with the overpressure of the formations. These differences are represented in specific equations presented in this work. One of the main conclusions relates the rapid uplift of the basin, occurred in mid Miocene and the lack of liberation of stresses; as one of the causes of the pressures that are currently observed.
An Effective Lane Detection Based on Elliptical Roi and Limited Parameters in Hough Space

Lane detection is an operation in vision-based automotive safety applications. To reduce the computational complexity of lane detection, the region of interest (ROI) is a commonly used approach. However, the traditional rectangular ROI in the Hough space is prone to result in vibrated lane markings. To solve this problem, we present an elliptical ROI in the Hough space. The proposed ROI can not only increase the accuracy of lane-marking detection but also reduce the computational complexity of lane detection. In addition, we also present a new auxiliary lane detection algorithm to deal effectively with cases where one lane-marking is missing. Experimental results show that the proposed algorithm results in more accurate and satisfying lane-marking detection.