Miracle-dz/UniFAR-FTUs huggingface dataset:
Differential Flavonoids and Carotenoids Profiles in Grains of Six Poaceae Crops

Poaceae practically dominate staple crops for humans. In addition to the issue of sustenance, there is a growing interest in the secondary metabolites of these staple crops and their functions on health. In this study, metabolomic variations were investigated among six important species of Poaceae with a total of 17 cultivars, including wheat, maize, rice, sorghum, foxtail millet, and broomcorn millet. A total of 201 flavonoid metabolites and 29 carotenoid metabolites were identified based on the UPLC-ESI-MS/MS system. Among them, 114, 128, 101, 179, 113, and 92 flavonoids and 12, 22, 17, 15, 21, and 18 carotenoids were found in wheat, maize, rice, sorghum, foxtail millet, and broomcorn millet, respectively. Only 46 flavonoids and 8 carotenoids were shared by the six crops. Crop-specific flavonoids and carotenoids were identified. Flavone, anthocyanins, flavanone and polyphenol were the major metabolite differences, which showed species specificity. The flavonoid content of the grains from 17J1344 (sorghum), QZH and NMB (foxtail millet) and carotenoids from Mo17 (maize) were higher than the other samples. This study provides a better knowledge of the differences in flavonoid and carotenoid metabolites among Poaceae crops, as well as provides a theoretical basis for the identification of functional metabolites in these grains.
Exploring the Views of Healthcare Professionals Working in a Mental Health Trust on Pharmacists as Future Approved Clinicians

This qualitative research explored the views and attitudes of healthcare professionals towards the role of the mental health pharmacist, and whether this group should be enabled to become approved clinicians (ACs) in England and Wales under the Mental Health Act in future. Following ethical approval, recruitment based on systematic purposive sampling principles took place at one mental health trust in England. Six pharmacists, five medical ACs and two mental health nurses participated in one-to-one digitally audio-recorded semi-structured interviews between June and November 2020. The recordings were transcribed verbatim before being inductively coded and thematically analysed. Notwithstanding the wide recognition among participants of several key skills possessed by mental health pharmacists, various obstacles were identified to them becoming ACs in future, including prevalent conventional models of pharmacy services delivery restricting adequate patient access, as well as insufficient training opportunities to acquire advanced clinical skills, particularly in diagnosis and assessment. In addition to the inherent legislative hurdles, fundamental changes to the skill mix within multidisciplinary mental health teams and improvements to the training of pharmacists were reported by participants to be required to equip them with essential skills to facilitate their transition towards the AC role in future. Further research is needed to gain a better understanding of the challenges facing the clinical development and enhanced utilisation of mental health pharmacists and non-medical ACs across services.
DIRICHLET-KINGMAN PARTITION REVISITED

We reconsider the Dirichlet model for the random division of an interval. This model is parameterized by the number n > 1 of fragments, together with a set of positive parameters ( 1,., n). Its main remarkable properties are recalled, developed and illustrated. Explicit results on the statistical structure of its size-biased permutation are next supplied. This distribution appears in the sorting of items problem under the move-to-front rule. Assuming the parameters satisfy Pn m=1 m ! < 1 as n " 1, it is shown that the Dirichlet distribution has a Dirichlet-Kingman non-degenerate weak limit whose properties are briefly outlined.
Task Scheduling for Probabilistic In -Band Network Telemetry

In-band Network Telemetry (INT) is a novel framework for monitoring network health in real-time, and its recent variant, Probabilistic INT (PINT), reduces its bandwidth consumption with a probabilistic approach. However, as we show in this paper, a PINT task can be successfully accomplished only when it is allocated a sufficient number of packets, and if there are many tasks executed in parallel, packets become a scarce resource. Meanwhile, today’s production network generally executes multiple measurement tasks for tracing different network states simultaneously. Therefore, in such a context, scheduling parallel PINT tasks on one single INT flow that has a limited number of packets becomes a critical problem. In this paper, we address this problem for the first time. We propose an algorithm that efficiently schedules multiple parallel PINT tasks on a flow by allocating the flow’s packets to the tasks and showing that the allocation is optimal. We realize the algorithm with a packet processing pipeline and implement it on software and hardware-programmable switches. Comprehensive evaluation on a FatTree testbed shows that at a low scheduling overhead, our algorithm can conduct parallel PINT tasks to detect various network faults in a timely and accurate manner. Additionally, the algorithm accomplishes more PINT tasks with higher quality than the alternative solutions.
Postpartum Assessment of the Correlation between Serum Hormone Levels of Estradiol, Progesterone, Prolactin and ß-HCG and Blood Pressure Measurements in Pre-Eclampsia Patients

Background: Preeclampsia is a pregnancy-related hypertensive disease. Aberrant hormone levels have been implicated in blood pressure disorders. This study investigated the association of postpartum maternal serum hormone levels of estradiol, progesterone, prolactin, and ß-HCG with poorer PE-related complications including arterial hypertension. Methods: Thirty patient women with preeclampsia, and twenty women with uncomplicated pregnancy were included in this study. Serum levels of estradiol, progesterone, prolactin, and ß-HCG were determined immediately after delivery, and on the first and third postpartum days by means of ECLIA. Results: Compared with normal pregnancy cases, preeclampsia cases had higher serum levels of ß-HCG levels on Day-0 (319%), of progesterone on Day-0 (207%) and Day-1 (178%), and of estradiol on Day-1 (187%) and Day-3 (185%). Increased prolactin levels were positively associated with disease severity and estradiol and progesterone levels were decreased in poorer preeclampsia features including disease onset and IUGR diagnosis. No significant correlation between different hormone levels and blood pressure measurements was reported. Conclusions: This study is the first that detected postpartum maternal serum hormone levels and their correlation with blood pressure measurements in preeclampsia. We believe that the persistent arterial hypertension in the puerperium in preeclampsia as well as poorer disease specifications are most likely not of hormonal origin. Larger, well-defined prospective studies are recommended.
Climate change impacts on water sustainability of South African crop production

Agricultural production in arid and semi-arid regions is particularly vulnerable to climate change, which, combined with projected food requirements, makes the sustainable management of water resources critical to ensure national and global food security. Using South Africa as an example, we map the spatial distribution of water use by seventeen major crops under current and future climate scenarios, and assess their sustainability in terms of water resources, using the water debt repayment time indicator. We find high water debts, indicating unsustainable production, for potatoes, pulses, grapes, cotton, rice, and wheat due to irrigation in arid areas. Climate change scenarios suggest an intensification of such pressure on water resources, especially in regions already vulnerable, with a country-scale increase in irrigation demand of between 6.5% and 32% by 2090. Future land use planning and management should carefully consider the spatial distribution and local sustainability of crop water requirements to reduce water consumption in water risk hotspots and guarantee long-term food security.
Experimental Investigation of Aerodynamic Hysteresis Using a Five-Degree-of-Freedom Wind-Tunnel Maneuver Rig. Aircraft (3),

The high incidence aerodynamics of a lightweight jet trainer aircraft model has been inves-tigated using a novel ﬁve degree-of-freedom (DoF) dynamic manoeuvre rig, recently updated with improved actuation and data acquisition systems, in the 7 (cid:48) × 5 (cid:48) closed-section low-speed wind tunnel at the University of Bristol. The major focus was to identify the nonlinear and unsteady aerodynamic characteristics speciﬁc to the stall region and which aﬀect free-to-move aircraft model behaviour. First, the unstable equilibrium states in the limit cycle regions were stabilized, and so observed, over a wide range of angles of attack using a simple elevator feedback control law based on pitch angle and pitch-rate sensor measurements. Tests with two degrees-of-freedom, namely the aircraft model and rig arm pitch angles, revealed the existence of static hysteresis in the normal force acting on the aircraft model in the stall region. Unlocking the aircraft model in roll and yaw accompanied by feedback stabilization of the lateral-directional modes of motion demonstrated onset of asymmetric aerodynamic rolling and yawing moments in this four degree-of-freedom conﬁguration. This observation implicitly indicates a link between the static hysteresis in the normal aerodynamic force with an onset of aerodynamic asymmetry. The experimental results show the eﬃciency of the updated multi-degree-of-freedom actively controlled manoeuvre rig in providing insight into complicated aerodynamic eﬀects within the stall region. × 1.5m) closed-section low-speed wind tunnel. A specially developed high-speed wireless message collection-distribution network allowed the distributed motion parameters to be recorded with synchronized time stamps in microseconds for phase-sensitive analysis; a low command-response loop latency (below ten milliseconds) made possible the implementation of real-time closed-loop feedback control strategies. Exploiting this new control capability, and speciﬁcally the feedback stabilisation, this paper reports on experiments that examine the aircraft model’s nonlinear and unsteady aerodynamic characteristics, speciﬁcally for stall conditions. This is achieved through use of feedforward and feedback control strategies across a range of diﬀerent combinations of the manoeuvre rig degrees of freedom. The results provide signiﬁcant new insight into the cause of nonlinear limit cycle behaviour observed in previous test campaigns with the manoeuvre rig. separated ﬂow structure. of new in of stall
Anti-Inflammatory Activity of Mulberry Leaf Flavonoids In Vitro and In Vivo

Mulberry (Morus alba L.) is a flowering tree traditionally used in Chinese herbal medicine. Mulberry leaf flavonoids (MLFs) have been reported to exert important anti-inflammatory and antioxidant properties. The purpose of this study was to select the MLF with the best anti-inflammatory and antioxidative activities from MLFs eluted by different ethanol concentrations (30%, 50%, and 75%) and explore its pharmacological properties. Three types of MLFs inhibited the production of nitric oxide (NO), prostaglandin E2 (PGE2), inducible nitric oxide synthase (iNOS), cyclooxygenase-2 (COX-2), and inflammatory cytokines in lipopolysaccharide (LPS)-induced RAW 264.7 cells. All MLFs boosted the antioxidative capacity by decreasing the reactive oxygen species (ROS) production and the scavenging of 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radicals and improving the metal ion chelating activity and reducing power. The results revealed that the MLFs eluted by 30% ethanol exhibited the best anti-inflammatory and antioxidative activities. A nontargeted metabolomic analysis was used to analyze 24 types of differential flavonoids between the MLFs. Quercetin, kaempferol, and their derivatives in 30%MLF were more abundant than the other two MLFs. Furthermore, we evaluated the pharmacological activities of 30%MLF in dextran sodium sulfate (DSS)-induced ulcerative colitis (UC) mice. The 30%MLF could alleviate the clinical symptoms, reduce the secretion of inflammatory cytokines, and inhibit the activation of the inflammatory pathway in DSS-induced colitis mice. This study will provide valuable information for the development of MLFs eluted by 30% ethanol as a functional food.
Multi-AGV's Temporal Memory-Based RRT Exploration in Unknown Environment

With the increasing need for multi-robot for exploring the unknown region in a challenging environment, efficient collaborative exploration strategies are needed for achieving such feat. A frontier-based Rapidly-Exploring Random Tree (RRT) exploration can be deployed to explore an unknown environment. However, its' greedy behavior causes multiple robots to explore the region with the highest revenue, which leads to massive overlapping in exploration process. To address this issue, we present a temporal memory-based RRT (TM-RRT) exploration strategy for multi-robot to perform robust exploration in an unknown environment. It computes adaptive duration for each frontier assigned and calculates the frontier's revenue based on the relative position of each robot. In addition, each robot is equipped with a memory consisting of frontier assigned and share among fleets to prevent repeating assignment of same frontier. Through both simulation and actual deployment, we have shown the robustness of TM-RRT exploration strategy by completing the exploration in a <inline-formula><tex-math notation="LaTeX">$25.0\,\rm{m}\times \text{54.0}\,\rm{m}$</tex-math></inline-formula> (<inline-formula><tex-math notation="LaTeX">$\text{1350.0}\,\rm{m}^{2}$</tex-math></inline-formula>) area, while the conventional RRT exploration strategy falls short.
Capacity Maximization for Reconfigurable Intelligent Surface-Aided MISO Visible Light Communications

This paper investigates the employment of reconfigurable intelligent surfaces (RISs) to improve the asymptotic capacity of the multiple-input single-output (MISO) visible light communication (VLC) system in the case of high signal-to-noise (SNR). For the RIS-aided MISO-VLC system based on mirror array, we regard the high-SNR asymptotic capacity with the input subject to peak-intensity constraints as a goal and formulate an asymptotic capacity maximization problem to find the optimal orientations of mirrors. As for the non-convex optimization problem, we convert it into a quadratic programming (QP) problem with hemispherical constraints and prove that it can be solved by computing the maximum eigenvalue of an equivalent matrix. Simulation results indicate that the asymptotic capacity is able to be improved significantly by adopting RIS in MISO-VLC systems. Meanwhile, we observe that the proper deployment scheme of RIS is able to enhance the degree of improvement through several simulations.
Fast, strong, and reversible adhesives with dynamic covalent bonds for potential use in wound dressing

Significance It is challenging for wound dressing adhesives to realize both fast and strong adhesion yet be readily reversible, especially when the adherend skin surface is soft and hairy. By introducing boronic ester–based dynamic covalent bonds into polymer networks, we combine their covalent character to achieve strong adhesion and their dynamic nature for fast and reversible adhesion. Within seconds of water activation, the top surface of the adhesive film softens, allowing for conformal contact with the adherends. The bulk film remains dry and efficiently transmits the load within the network for strong adhesion. The incorporation of ultrafast and partially activated dynamic covalent bonds offers a concept for the next generation of wound dressing adhesives.
PELATIHAN APLIKASI PEMBELAJARAN KIMIA DI MADRASAH ALIYAH AL HASANAH KABUPATEN BENGKULU TENGAH

The purpose of this activity is to provide information and knowledge about the use of ChemBio Office and ChemSketch applications to support the learning of chemistry in Madrasah Aliyah Al Hasanah, Central Bengkulu. The activity begins with providing information about the application with the lecture method. Besides delivering information, this lecture method is also intended to motivate participants to think critically about the use of chem-bio-office and ChemSketch applications in the learning and teaching process. The discussion method is used as a communication medium when the training takes place so that there is a two-way communication between the speaker and the trainee. After the information was delivered, the activity was continued with the installation of the application with the help of the speaker. After the installation of the application was complete, it was followed by a demonstration by giving examples in the use of the chem-bio-office and ChemSketch applications by the speaker. After the demonstration was complete, participants were allowed to practice directly using the application of chem-bio-office and ChemSketch with the guidance of the speaker. Based on the results of the evaluation conducted before and after the activity, the method was considered effective as indicated by the level of success of the participants in using the application introduced during the activity.
Intranasally applied human olfactory mucosa neural progenitor cells migrate to damaged brain regions

Aim: To determine if intranasally administered olfactory mucosa progenitor cells (OMPCs) migrate to damaged areas of brain. Materials & methods: Rowett Nude (RNU) adult rats were injured using the Marmarou model then 2 weeks later received intranasally-delivered human OMPC. After 3 weeks, rats were sacrificed and brain sectioned. The mean distances from the human OMPCs to markers for degenerative neuronal cell bodies (p-c-Jun+), axonal swellings on damaged axons (β-APP+) and random points in immunostained sections were quantified. One-way ANOVA was used to analyze data. Results: The human OMPCs were seen in specific areas of the brain near degenerating cell bodies and damaged axons. Conclusion: Intranasally delivered human OMPC selectively migrate to brain injury sites suggesting a possible noninvasive stem cell delivery for brain injury.
Health Disparity Resulting from the Effect of Built Environment on Temperature-Related Mortality in a Subtropical Urban Setting

Whereas previous studies have assessed the overall health impact of temperature in Hong Kong, the aim of this study was to investigate whether the health impact is modified by local temperature of small geographic units, which may be related to the diverse socioeconomic characteristics of these units. The effects of local temperature on non-accidental and cause-specific mortality were analyzed using Bayesian spatial models at a small-area level, adjusting for potential confounders, i.e., area-level air pollutants, socioeconomic status, and green space, as well as spatial dependency. We found that a 10% increase in green space density was associated with an estimated 4.80% decrease in non-accidental mortality risk and a 5.75% decrease in cardiovascular disease mortality risk in Hong Kong, whereas variation in local annual temperature did not significantly contribute to mortality. We also found that the spatial variation of mortality within this city could be explained by the geographic distribution of green space and socioeconomic factors rather than local temperature or air pollution. The findings and methodology of this study may help to further understanding and investigation of social and structural determinants of health disparities, particularly place-based built environment across class-based small geographic units in a city, taking into account the intersection of multiple factors from individual to population levels.
Direct comparisons of logging and agroforestry influence on tropical mammals in Sarawak, Borneo

Tropical regions are undergoing rapid land use change, with major implications for global biodiversity. Selective logging and agroforestry are particularly widespread across tropical forests, often occurring in close proximity. But while a number of studies have addressed their impacts separately, few have directly compared how they influence forest vertebrates. Here, we assessed the occurrence of medium‐ to large‐bodied mammals in logged forest, unlogged forest, and agroforestry areas in three study areas in interior Sarawak, Malaysian Borneo. We detected 34 species across 99 camera trap locations and used multi‐species occupancy models to estimate species‐specific occurrence while accounting for imperfect detectability, spatial autocorrelation, natural habitat heterogeneity, and metrics of site accessibility (distance to human infrastructure) as proxies for potential hunting pressure. We found that species occurrences were unaffected by the distance to the nearest road or village and only responded to elevation and the distance to the nearest river in a single species each. Detection rates tended to vary with micro‐habitat characteristics such as the size of tree stumps and the prevalence of trees and rattan palms, which are often not considered in camera‐based occupancy studies. Occurrence rates of five species varied across habitat types but were not detectably lower in agroforestry sites than in unlogged forest for any species. Our results indicate that without unsustainable hunting, agroforestry and logged forest provide usable habitat for some, though not all, rainforest mammals. We also suggest that camera trap studies may benefit from the incorporation of fine‐scale habitat information into detectability estimation.
Building bridges to advance the Community of Inquiry framework for online learning

Abstract The COVID-19 pandemic forced institutions of higher education around the world to quickly transition to forms of distance education, including synchronous and asynchronous online learning. Often lacking conceptual, empirical, and practical understanding of online pedagogy, many institutions have met this endeavor with mixed success. It seems inevitable that online learning will continue to play a key role in all sectors of education and, accordingly, that online pedagogy deserves a more mainstream focus. To help build a joint understanding of foundational knowledge between the online learning, educational technology, and educational psychology communities, in this article, we summarize the most frequently cited conceptual model that shapes research and practice in the field of higher education online learning: the Community of Inquiry (CoI) framework. We describe the original CoI model and its foundational components (i.e., cognitive, social, and teaching presence) and highlight opportunities for improvement of the model by incorporating the educational psychology and learning sciences research base to inform: (1) conceptualizations of the social dimensions of collaborative learning and (2) understanding of learner contributions to online collaborative education including self-, co-, and shared regulation of learning. We propose that a new, more comprehensive conceptualization of the regulation of collaborative online learning be integrated into the existing CoI framework and that a new “presence” be referenced going forward—“Learning Presence. ” Through this work, we strive to develop a more nuanced, generative, and informed vision of the future of online learning informed by relevant contemporary conceptualizations in educational psychology.