Miracle-dz/UniFAR-FTUs huggingface dataset:
Precise Trajectory Tracking of Multi-Rotor UAVs Using Wind Disturbance Rejection Approach

This paper discusses the resilience of the UAV quadrotor to wind disturbances. An unknown input-state observer is presented that uses the Lipschitz method to estimate the internal states and disturbances of the quadrotor and compensate for them by varying the velocities of the four rotors. The observer intends to use existing sensor measurements to estimate the unknown states of the quadrotor and reconstruct the three-dimensional wind disturbances. The estimated states and external disturbances are sent to the PD controller, which compensates for the disturbances to achieve the desired position and attitude, as well as robustness and accuracy. The Lipschitz observer was designed using the LMI approach, and the results were validated using Matlab/Simulink and using the Parrot Mambo mini quadrotor.
Unravelling the relation between altruistic cooperativeness trait, smiles, and cooperation: a mediation analysis

Introduction Human cooperativeness is an important personality trait. However, the mechanism through which people cooperate remains unclear. Previous research suggests that one of the proposed functions of smiling is to advertise altruistic dispositions, leading to successful cooperation. In particular, studies have reported that Duchenne smiles are honest signals of cooperative intent because they are not easy to produce voluntarily. This study aimed to examine the predictive relationships among altruistic cooperativeness traits, Duchenne smiles, and cooperative behavior. Methods A total of 90 people were randomly assigned to dyads and filmed while they participated in a ten-minute, unstructured conversation followed by a prisoner’s dilemma game to measure their cooperative behaviors. Their smiles during conversations were classified as Duchenne or non-Duchenne. Participants’ altruistic dispositions were measured before the conversation began using an anonymous prisoner’s dilemma game. Results The results of our linear regression analyses support previous findings that individual’s Duchenne smiles and their own cooperative behavior are positively correlated. However, when we controlled for altruistic cooperativeness, Duchenne smiles no longer correlated with cooperative behavior. The results of the mediation analyses showed that Duchenne smiles and smile synchrony did not mediate the predictive relationship between altruistic cooperativeness and cooperative behavior. Discussion Our results suggest that human cooperative behavior may be predetermined by altruistic cooperativeness. This calls for the reconsideration of the Duchenne smile as an underlying behavioral mechanism that is effective for signaling altruistic cooperative intent.
Effects of (In)Congruency in Fertility Motivation on Fertility Desire and Intention Among Couples Living with HIV: A Dyadic Approach

Background Fertility decision-making plays a negligible role in completing fertility goals among couples living with HIV (CLWH). Being commonly matched concerning fertility motivation seems essential for fertility desire/intention. Few studies report on intra-couple congruences or incongruences in fertility motivation on desire/intention. This study aims to assess the effects of (in)congruency in fertility motivation on fertility desire and intention among couples living with HIV. Methods This study uses the actor-partner interdependence model (APIM) to assess the independent direct and indirect effect of fertility motivation on intention, and dyadic response surface analysis with congruency/incongruent effect (DRSA) of fertility motivation on intention using fertility desire as mediator variable among CLWH. CLWH were selected from a clinic in Kunming, China, between October and December 2020. Cross-sectional research included 314 CLWH. Results APIM revealed that the wife’s fertility motivation had an indirect influence on fertility intention of couples mediated by her fertility desire (R2 = 0.42). There was a significant effect on fertility intention by interaction of (in)congruency in fertility motivation among couples. DRSA shows that linear congruency in fertility motivation of both husband and wife increased fertility desire and intention of couples. However, if there was an incongruent in fertility motivation among husband and wife, husband’s domination in fertility motivation was common and negatively affect the wife’s fertility desire to have a child. Overall, couples who were matched on fertility motivation reported a significant greater relationship with fertility intention than couples who were mismatched. Conclusion Counseling could help both the husband and wife achieve a greater positive fertility intention by addressing comparable fertility goals.
Diversité et activité des communautés microbiennes dans des sédiments marins associés aux émissions de fluides froids

La majorite du methane, gaz a effet de serre, est stocke dans les sediments marins. Or seule une faible proportion de ce methane atteint l’hydrosphere et l’atmosphere, parce qu’il est consomme par un biofiltre efficace constitue d’Archaea anaerobies qui oxydent le methane (ANME). Ce methane a une origine principalement biogenique dans les sediments marins, car il est synthetise par des Archaea methanogenes dans des sources profondes, et migre dans des zones specifiques d’emissions de fluides froids des marges continentales. Dans le but d’etudier la diversite des communautes microbiennes associees a ces emissions de fluides froids, et de determiner les facteurs geochimiques controlant la distribution de ces communautes microbiennes, quatre sites d’un point de vue geochimique et geologique ont ete compares. Dans le cadre de cette etude, des outils de biologie moleculaire (PCR, RT-PCR, clonage) et des marqueurs genetiques (16S, mcrA, dsrB) ont ete employes, afin de contourner les limites des approches culturales. Ce travail de recherche a permis: (i) de determiner la structure et la diversite des communautes Archaea dans des sediments soumis a des migrations de fluides froids, (ii) de mettre en evidence des communautes methanogenes actives, (iii) d’observer une dominance de sequences affiliees aux ANME, et (iv) d’identifier des Archaea metaboliquement actives appartenant a des lignees d’Archaea incultivees. Ainsi, cette etude a permi d’elargir nos connaissances de diversite des Archaea presentes dans les sediments de zones d’emissions de fluides froids des marges continentales.
In vitro and in silico perspectives on the activation of antioxidant responsive element by citrus-derived flavonoids

Introduction Oxidative stress plays an essential role in the pathogenesis of chronic diseases. Disrupting the Keap1-Nrf2 pathway by binding Keap1 is identified as a potential strategy to prevent oxidative stress-related chronic diseases. Therefore, of special interest is the utilization of dietary antioxidations from citrus, including narirutin, naringenin, hesperetin, hesperidin, naringin, neohesperidin dihydrochalcone, neohesperidin, and nobiletin, has been exploited as a prospective way to treat or prevent several human pathologies as Keap1-Nrf2 inhibitors for modulation of antioxidant properties. Methods To probe into the structural foundation of the molecular identification of citrus-derived antioxidations, we calculated the antioxidant responsive element activation ability of citrus-derived flavonoids after binding with Keap1. Also, the quantum chemistry properties and binding mode were performed theoretically with frontier molecular orbitals, molecular electrostatic potential analysis, molecular docking, and absorption, distribution, metabolism, excretion (ADME) calculation. Results and discussion Experimental findings combining computational assays revealed that the tested citrus-derived flavonoids can be grouped into strong agonists and weak agonists. The citrus-derived antioxidations were well housed in the bound zone of Keap1 via stable hydrogen bonding and hydrophobic interaction. Eventually, three of eight antioxidations were identified after ADME and physicochemical evaluations. The citrus-derived flavonoids were identified as potential dietary antioxidants of the Keap1-Nrf2 interaction, and can be used to improve oxidative stress-related chronic diseases.
Does vitamin blends supplementation affect the animal performance, carcass traits, and nutrient digestibility of young Nellore finishing bulls?

Objective This study was realized to evaluate the effects of supplementation with blends of water and fat-soluble vitamins on animal performance and carcass traits of young Nellore bulls. Methods Forty-three Nellore bulls, with an initial weight of 261±27.3 kg and a mean age of 8±1.0 months, were used. Five animals were slaughtered at the beginning of the experiment (reference group), to determine the initial empty body weight of the bulls that remained in the experiment. The remaining 38 bulls were fed ad libitum and distributed in a completely randomized design in a 2×2 factorial scheme, with or without supplementation of water-soluble (B-blend+ or B-blend−) and fat-soluble (ADE+ or ADE−) vitamin blends. Diets were isonitrogenous (120 g of crude protein/kg dry matter [DM] of total mixed ration) and consisted of a roughage:concentrate rate of 30:70 based on total DM of diet. The experiment lasted 170 days, with 30 days of adaptation and 140 days for data collection. At the beginning and end of the experimental period, the bulls were weighed to determine the average daily gain. To estimate the apparent digestibility of nutrients and microbial efficiency, spot collections of feces and urine were performed for five consecutive days. Results DM, ashes, organic matter, crude protein, ethereal extract, neutral detergent fiber corrected for residual ash and residual nitrogenous, and N intake and apparent digestibility were not influenced by vitamin supplementation, but total digestible nutrients intake and non-fibrous carbohydrates digestibility were influenced by B complex vitamin supplementation. Nitrogen balance, microbial efficiency, and performance data were not influenced (p>0.05) by vitamin supplementation. Conclusion Vitamin supplementation (a blend of water-soluble and fat-soluble vitamins or their combinations) does not influence the animal performance and carcass traits of young Nellore bulls.
Assessment of drivers and barriers in the adoption of Mobility as a Service (MaaS): a case study of Noida, India

ABSTRACT Mobility as a Service (MaaS) has emerged as a transformative concept in urban transportation, integrating multiple modes of transportation through digital platforms to provide seamless travel experiences. By utilizing smartphone applications, MaaS simplifies trip planning, real-time information access, and consolidated payment systems, offering convenience to users. However, MaaS research has primarily focused on developed countries with well-established transport systems, making it crucial to explore its potential and challenges in developing cities of the global south, such as Noida in India. In this study, Noida, a satellite town of NCT Delhi, was chosen as only case study to gather data on user behaviour and preferences regarding app-based mobility services. A comprehensive survey collected information on socio-economic factors, personal vehicle ownership, commuting patterns, public transport usage, and attitudes towards digital ecosystems and app-based mobility services. Principal Component Analysis and K-means Clustering techniques were applied to identify distinct user types and categories, providing insights into user preferences and expectations. The analysis of the collected data revealed user clusters and their respective characteristics. The sustainability aspects of on-demand mobility services were evaluated, comparing user perceptions with private vehicle usage. The study also examined the impact of app-based mobility services on public transport and identified barriers and constraints specific to different user clusters, contributing to a better understanding of the feasibility of implementing MaaS. The findings will provide valuable insights for policymakers and transportation authorities, enabling the development of strategies and interventions to enhance urban mobility and foster MaaS adoption. By addressing the specific needs and preferences of users, MaaS can play a significant role in improving the efficiency and sustainability of transportation in complex urban environment cities like Noida in India.
A Cardinality Estimator in Complex Database Systems Based on TreeLSTM

Cardinality estimation is critical for database management systems (DBMSs) to execute query optimization tasks, which can guide the query optimizer in choosing the best execution plan. However, traditional cardinality estimation methods cannot provide accurate estimates because they cannot accurately capture the correlation between multiple tables. Several recent studies have revealed that learning-based cardinality estimation methods can address the shortcomings of traditional methods and provide more accurate estimates. However, the learning-based cardinality estimation methods still have large errors when an SQL query involves multiple tables or is very complex. To address this problem, we propose a sampling-based tree long short-term memory (TreeLSTM) neural network to model queries. The proposed model addresses the weakness of traditional methods when no sampled tuples match the predicates and considers the join relationship between multiple tables and the conjunction and disjunction operations between predicates. We construct subexpressions as trees using operator types between predicates and improve the performance and accuracy of cardinality estimation by capturing the join-crossing correlations between tables and the order dependencies between predicates. In addition, we construct a new loss function to overcome the drawback that Q-error cannot distinguish between large and small cardinalities. Extensive experimental results from real-world datasets show that our proposed model improves the estimation quality and outperforms traditional cardinality estimation methods and the other compared deep learning methods in three evaluation metrics: Q-error, MAE, and SMAPE.
Genomic diversity and evolution analysis of severe fever with thrombocytopenia syndrome in East Asia from 2010 to 2022

Background Conducting an up-to-date analysis on the genomic diversity and evolution patterns of severe fever with thrombocytopenia syndrome virus (SFTSV) is crucial for elucidating the underlying mechanisms of its emergency and pathogenicity, as well as assessing the extent of its threat to public health. Methods Complete genome sequences of SFTSV were obtained from GenBank until December 19, 2022. A thorough phylogenetic analysis was conducted using comprehensive bioinformatics methods to estimate the genomic diversity and evolution. Results The phylogenetic classification of SFTSV strains yielded seven lineages (A-G) for each genome segment. SFTSV displayed notable variations in evolutionary patterns among different regions and segments, without a linear accumulation of nucleotide substitutions within segments and regions. The comprehensive analysis revealed 54 recombination events and 17 reassortment strains, including the first discovery of recombination events involving sea-crossing and species-crossing. Selection analysis identified three positive sites (2, 671, 1353) in RNA-dependent RNA polymerase, three positive sites (22, 298, 404) in glycoprotein, and two positive sites (9, 289) in nonstructural protein. No positive selection sites were found in nucleoprotein. Conclusion Our study unveiled the existence of multiple evolutionary forces influencing SFTSV, contributing to its increasing genetic diversity, which had the potential to modify its antigenicity and pathogenicity. Furthermore, our study highlights the importance of tracking the spread of SFTSV across regions and species.
TinyRCE: Multipurpose Forward Learning for Resource Restricted Devices

The challenge of deploying neural network (NN) learning workloads on ultralow power tiny devices has recently attracted several machine learning researchers of the Tiny machine learning community. A typical on-device learning session processes real-time streams of data acquired by heterogeneous sensors. In such a context, this letter proposes Tiny Restricted Coulomb energy (TinyRCE), a forward-only learning approach based on a hyperspherical classifier, which can be deployed on microcontrollers and potentially integrated into the sensor package. TinyRCE is fed with compact features extracted by a convolutional neural network (CNN), which can be trained with backpropagation or it can be an extreme learning machine with randomly initialized weights. A forget mechanism has been introduced to discard useless neurons from the hidden layer, since they can become redundant over time. TinyRCE has been evaluated with a new interleaved learning and testing data protocol to mimic a typical forward on-tiny-device workload. It has been tested with the standard MLCommons Tiny datasets used for keyword spotting and image classification, and against the respective neural benchmarks. In total, 95.25% average accuracy was achieved over the former classes (versus 91.49%) and 87.17% over the latter classes (versus 100%, caused by overfitting). In terms of complexity, TinyRCE requires 22× less Multiply and ACCumulate (MACC) than SoftMax (with 36 epochs) on the former, whereas it requires 5× more MACC than SoftMax (with 500 epochs) for the latter. Classifier complexity and memory footprint are marginal w.r. t. the feature extractor, for training and inference workloads.
Potential analgesic effect of Foshousan oil-loaded chitosan-alginate nanoparticles on the treatment of migraine

Background: Migraine is a common neurovascular disorder with typical throbbing and unilateral headaches, causing a considerable healthcare burden on the global economy. This research aims to prepare chitosan-alginate (CS-AL) nanoparticles (NPs) containing Foshousan oil (FSSO) and investigate its potential therapeutic effects on the treatment of migraine. Methods: FSSO-loaded CS-AL NPs were prepared by using the single emulsion solvent evaporation method. Lipopolysaccharide (LPS)-stimulated BV-2 cells and nitroglycerin (NTG)-induced migraine mice were further used to explore anti-migraine activities and potential mechanisms of this botanical drug. Results: FSSO-loaded CS-AL NPs (212.1 ± 5.2 nm, 45.1 ± 6.2 mV) had a well-defined spherical shape with prolonged drug release and good storage within 4 weeks. FSSO and FSSO-loaded CS-AL NPs (5, 10, and 15 μg/mL) showed anti-inflammatory activities in LPS-treated BV-2 cells via reducing the levels of pro-inflammatory cytokines such as tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), interleukin-6 (IL-6), and nitric oxide (NO), but elevating interleukin-10 (IL-10) expressions. Moreover, FSSO-loaded CS-AL NPs (52 and 104 mg/kg) raised pain thresholds against the hot stimulus and decreased acetic acid-induced writhing frequency and foot-licking duration in NTG-induced migraine mice. Compared with the model group, calcitonin gene-related peptide (CGRP) and NO levels were downregulated, but 5-hydroxytryptamine (5-HT) and endothelin (ET) levels were upregulated along with rebalanced ET/NO ratio, and vasomotor dysfunction was alleviated by promoting cerebral blood flow (CBF) in the FSSO-loaded CS-AL NPs (104 mg/kg) group. Conclusion: FSSO-loaded CS-AL NPs could attenuate migraine via inhibiting neuroinflammation in LPS-stimulated BV-2 cells and regulating vasoactive substances in NTG-induced migraine mice. These findings suggest that the FSS formula may be exploited as new phytotherapy for treating migraine.
ISPRS Journal of Photogrammetry and Remote Sensing

Highly accurate registration is one of the essential requirements for numerous applications of remote sensing images. Toward this end, we have developed a robust algorithm by combining and localizing feature-and area-based methods. A block-weighted projective (BWP) transformation model is first employed to map the local geometric relationship with weighted feature points in the feature-based stage, for which the weight is determined by an inverse distance weighted (IDW) function. Subsequently, the outlier-insensitive (OIS) model aims to further optimize the registration in the area-based stage. Considering the inevitable outliers (e.g., cloud, noise, land-cover change), OIS integrates Huber estimation with the structure tensor (ST), which is an approach that is robust to residual errors and outliers while preserving edges. Four pairs of remote sensing images with varied terrain features were tested in the experiments. Compared with the-state-of-art algorithms, the proposed algo-rithm is more effective, in terms of both visual quality and quantitative evaluation.
Time to talk about values, time to say no: What drives public participation in decision-making on abstract versus concrete energy projects?

One way to develop more socially acceptable energy projects is by engaging people with different values (i.e., guiding principles in people’s lives) from early on in decision-making. However, people with different values may want to participate at different times of decision-making. When energy projects are still abstract (e.g., national renewable energy targets), people with strong biospheric values (i.e., caring about the environment) and altruistic values (i.e., caring about others) may want to participate. Whereas when projects become concrete (e.g., a local wind park), people with strong egoistic values (i.e., caring about personal resources) and hedonic values (i.e., caring about comfort and pleasure) may want to participate. In two field studies in the same region, we found that biospheric and altruistic values were indeed most strongly associated with people’s willingness to participate in abstract decision-making. At a local project level, the more people were against the project, the more they wanted to participate, irrespective of their values. We conclude that simply inviting people to participate in decision-making does not yet guarantee that different public values will be represented, and we draw recommendations for better incorporating values in energy decision-making.
A new species of the ankylosaurid dinosaur Pinacosaurus from the Late Cretaceous of Inner Mongolia (P.R. China)

A well-preserved articulated skeleton of an ankylosaurian dinosaur from the Late Cretaceous of Bayan Mandahu (Inner Mongolia) is described. The specimen consists of the skull, lower jaws and a great part of the postcranial skeleton, including the cervical armour and tail-club in place. This material is referred to the ankylosaurid genus Pinacosaurus GILMORE, 1933. A new species, P. mephistocephalus, is erected on the basis of significant differences mainly in the nostril region relative to P. grangeri GILMORE, 1933. The new specimen, probably a subadult individual, provides further data about the composition and arrangement of the dermal armour of Pinacosaurus. Moreover, the comparisons with both young and adult specimens of Pinacosaurus allow a better understanding of ontogenetic changes in this dinosaur.