Miracle-dz/UniFAR-FTUs huggingface dataset:
Determination of Antioxidant Capacities with the Phenolic and Flavonoid Contents of Royal Jelly Mixtures

Royal jelly, which is used in functional foods due to its antioxidant capacity, has started to be widely used. In this study, the antioxidant capacities and phenolic contents of royal jelly mixtures were determined. Total phenolic substance contents (TPC) of royal jelly mixtures were specified using the Folin-Ciocalteu procedure, total flavonoid substance contents (TFC) by aluminium chloride colourimetric method, phenolic compound contents with LC-MS/MS and antioxidant activity with 2,2-diphenyl-1- picrylhydrazyl (DPPH) assay. TPC ranged from 0.6 to 38.2 mg GAE/100 g, and the mean value was determined as 11.08 mg GAE/100 g. TFC ranged from were ranged from 0.1 to 30.06 mg QE/100 g and a mean value of 9.2 mg QE/100 g, and DPPH ranged from 4.4 to 93.0 mg TE/mL and a mean value of 29.11 mg TE/mL. TPC, TFC and DPPH activities were highest in S6 and S7 samples, and lowest in S1 and S2 samples. Caffeic acid phenethyl ester was the highest yielding phenolic compound in all samples, and Luteolin was the lowest yielding compound. The highest phenolic compound contents were determined in the S6 and S7 samples. As a result, it has been observed that food products containing bee products are rich in phenolic contents and have high antioxidant properties. TPC, TFC, DPPH activity and phenolic contents were found to change as the type and ratio of bee products in the food changed.
Spanning scales: The airborne spatial and temporal sampling design of the National Ecological Observatory Network

1. Each year, the National Ecological Observatory Network's (NEON) Airborne Observation Platform (AOP) collects high‐resolution hyperspectral imagery, discrete and waveform lidar, and digital photography at a subset of 81 terrestrial and aquatic research sites throughout the United States. These open remote sensing data, together with NEON in situ sensor measurements and field observations, enable researchers to characterize ecological processes at multiple spatial and temporal scales.
Experimental analysis of the wall deformation of masonry brick and gypsum‐sheathed stud walls during standardized fire resistance tests of steel doors

In the case of a fire event, structural components are exposed to a thermal load. To determine the fire resistivity of building components standardized fire resistance tests (FRTs) have to be carried out. Besides the heating and the deformation of building components during the FRT, also the fire response of the adjacent wall construction is important. In the past, the fire response (deformation) of masonry brick and stud walls was examined without building components placed in the wall. However, the thermal expansion of doors and other components is causing a mechanical load on the wall, which is affecting its deformation. Thus, in the present study the deformation of masonry brick walls and gypsum‐sheathed stud walls with fire safety steel doors placed in the walls were determined during FRTs. Furthermore, the effect of the different door types, door size and wall thickness on the wall deformation was evaluated. Single leaf doors were approx. 1.3 m × 2.5 m, while double leaf doors were twice the size. The maximum deformation of the masonry brick walls was between 20 and 40 mm, and was hardly affected by the door type and size. However, larger doors with a higher temperature and thermal expansion showed a slightly increasing deformation. In contrast, stud walls were significantly affected by the door, especially when small doors were used. The wall was deformed up to approx. 100 mm for small doors. Using large doors in the stud wall, the wall deformation was limited to 20 mm.
An Association between Insulin Resistance and Neurodegeneration in Zebrafish Larval Model (Danio rerio)

Background: Type 2 diabetes mellitus has recently been identified as a mediator of neurodegeneration. However, the molecular mechanisms have not been clearly elucidated. We aimed to investigate insulin resistance associated with neurodegenerative events in zebrafish larvae. Methods: Larvae aged 72 h-post-fertilization (hpf) were induced to insulin resistance by immersion in 250 nM insulin and were then reinduced with 100 nM insulin at 96 hpf. This model was validated by a glucose levels assay, qPCR analysis of selected genes (akt, pepck, zglut3 and claudin-5a) and Oil Red-O (ORO) staining of the yolk sac for lipid distribution. The association of insulin resistance and neurodegeneration was validated by malondialdehyde (MDA), glutathione (GSH) assays, and by integrating next-generation sequencing with database for annotation, visualization and integrated discovery (DAVID). Results: There was a significant increase in glucose levels at 180 min in the insulin-resistant group. However, it decreased at 400 min after the re-challenge. Insulin-signaling mediators, akt and pepck, were showed significantly downregulated up to 400 min after insulin immersion (p < 0.05). Meanwhile, claudin-5a assessed blood–brain barrier (BBB) integrity and showed significant deterioration after 400 min of post-insulin immersion. ORO staining remarked the increase in yolk sac size in the insulin-resistant group. After the confirmation of insulin resistance, MDA levels increased significantly in the insulin-resistant group compared to the control group in the following parameters. Furthermore, dysregulated MAPK- and Wnt/Ca2+-signaling pathways were observed in the insulin-resistant group, disrupting energy metabolism and causing BBB injury. Conclusions: We conclude that the insulin-resistant zebrafish larvae alter the metabolic physiology associated with neurodegeneration.
Absolute vs. relative speed in high-frequency trading

This paper addresses the little investigated topic of the relationship between the speed of exchange servers, an absolute reference for the system, and trading speed, considered relative to the former. This is a major issue, as trading speed overwhelming the capability of the server to cope with the incoming orders might jeopardise the orderly functioning of the markets. It will be shown how, by raising the speed of trading and increasing the number of the agents operating in the market, it is possible to generate a crisis, no matter how performing the exchange server is. The paper presents a theoretical framework and then verifies its occurrence by analysing audit trail data. The theoretical framework shows a scenario in which under certain, heavy but by no means uncommon, conditions, the excess speed of the trading agents with respect to servers is capable of exacerbating price volatility, leading to vicious feedback loops capable of potentially creating a financial crisis. The empirical part analyses data taken from a particularly volatile day and compares them with much less volatile days. It results that, because of excessive speed, one of the most widely used techniques for minimising risk, order churning, can cause a major crisis.
Involvement of histone deacetylase CsHDA2 in regulating (E)-nerolidol formation in tea (Camellia sinensis) exposed to tea green leafhopper infestation

Abstract Herbivore-induced plant volatiles (HIPVs) help the tea plant (Camellia sinensis) adapt to environmental stress, and they are also quality-related components of tea. However, the upstream mechanism regulating the herbivore-induced expression of volatile biosynthesis genes is unclear, especially at the level of epigenetic regulation. In this study, similar to the effects of a tea green leafhopper infestation, treatments with exogenous jasmonic acid (JA) and histone deacetylase inhibitors significantly increased the (E)-nerolidol content in tea and induced the expression of the associated biosynthesis gene CsNES. Furthermore, a key transcription factor related to JA signaling, myelocytomatosis 2 (CsMYC2), interacted with histone deacetylase 2 (CsHDA2) in vitro and in vivo. A tea green leafhopper infestation inhibited CsHDA2 expression and decreased CsHDA2 abundance. Moreover, the tea green leafhopper infestation increased H3 and H4 acetylation levels in the promoter region of CsNES, which in turn upregulated the expression of CsNES and increased the (E)-nerolidol content. In this study, we revealed the effects of histone acetylations on the accumulation of HIPVs, while also confirming that CsHDA2–CsMYC2 is an important transcriptional regulatory module for the accumulation of (E)-nerolidol induced by tea green leafhoppers. The results of this study may be useful for characterizing plant aromatic compounds and the main upstream stress-responsive signaling molecules. Furthermore, the study findings will assist researchers clarify the epigenetic regulation influencing plant secondary metabolism in response to external stress.
Detecting Massive Black Hole Binaries and Unveiling their Cosmic History with Gravitational Wave Observations

Space based gravitational wave astronomy will open a completely new window on the Universe and massive black holes binaries are expected to be among the primary actors on this upcoming stage. The New Gravitational-wave Observatory (NGO) is a space interferometer proposal derived from the former Laser Interferometer Space Antenna (LISA) concept. We describe here its capabilities of observing massive black hole binaries throughout the Universe, measuring their relevant parameters (masses, spins, distance to the observer) to high precision. The statistical properties of the population of detected systems can be used to constrain the massive black hole cosmic history, providing deep insights into the faint, high redshift Universe.
Turbulent intermittency and Euler similarity solutions

Self-similar Euler singularities may be useful for understanding some aspects of Navier-Stokes turbulence. Here, a causal explanation for intermittency is given, based on the control of the sudden growth of the gradients by the Euler equations. This explanation uses certain Euler solutions as intermediate asymptotics in Navier-Stokes turbulence \cite{barenblatt} -- controlling the dynamics over a limited spatial and temporal domain. These arise from an analysis of similarity equations, previously discussed by Pelz and Green \cite{pelz}, which yield experimentally testable predictions. Three main points are presented here: scalings of suitable characteristic lengths with time from a critical time $l \sim (t_\circ -t)^\alpha$, $\alpha>1$, a discussion of invariant sets of the similarity equations that result, and a discussion of cutoff mechanisms. The value $\alpha = 3/2$ appears to correspond to Kolmogorov scaling for turbulence. Some limited experimental evidence is presented from Eulerian gradient measurements at the Kolmogorov scale showing $1<\alpha<3$ values. Much testing is necessary to ascertain the final usefulness and validity of these ideas, as several conceptual obstacles remain.
Swirl Jets in Crossflow at Low Velocity Ratios

This investigation examines experimentally the behavior of swirled jets produced by axial flow fans blowing into a crossflow at low velocity ratios. The main difference with non-swirl cases is an asymmetry of the dominant kidney vortex and a slight distortion of the jet trace downstream of the injection hole. The effect of jet rotation at relatively low swirl numbers and similar velocity ratios is also investigated by a validated computational analysis tool. The numerical results are analyzed by means of various post-processing procedures, aiming to clarify, quantify and analyze the impact of swirl on the characteristics and the flow domain of a jet in crossflow. In general, swirl introduces an asymmetry in all examined quantities and prevents the penetration of the jet into the crossflow, causing the jet to remain closer to the wall surface. The rotation of the injected fluid results in an imparity of the two parts of the Counter Rotating Vortex Pair (CVP) which is no longer symmetric to the axial centerline plane. High swirl numbers result in the destruction of the CVP and the dominant kidney shape vortex is transformed into a comma shape vortex, rotating close to the wall.
Normally-off β-Ga2O3 MOSFET with an Epitaxial Drift Layer

A normally-off β-Ga2O3 metal-oxide-semiconductor field-effect transistor (MOSFET) is proposed using a technology computer-aided design (TCAD) device simulation, which employs an epitaxial drift layer grown on an n-type low-doped body layer. The low-doped body layer under the MOS gate enabled normally-off operation, whereas the epitaxial drift layer determined the on-resistance and breakdown characteristics. The effects of the doping concentration of each layer and thickness of the drift channel layer on the device characteristics were investigated to design a device with a breakdown voltage of 1 kV. A threshold voltage of 1.5 V and a breakdown voltage of 1 kV were achieved by an n-type body layer with a doping concentration of 1 × 1015 cm−3 and an n-type drift layer with a doping concentration of 3 × 1017 cm−3, a thickness of 150 nm, and a gate-to-drain distance of 9.5 μm; resulting in an on-resistance of 25 mΩ·cm2.
Multiple-antenna Placement Delivery Array with Cyclic Placement

This paper studies the cache-aided multiple-input single-output (MISO) broadcast problem with one-shot linear delivery, where a server with L antennas and N files is connected to K single-antenna users (each with a memory of M files) through a wireless broadcast channel, with the objective to maximize the sum Degree-of-Freedom (sum-DoF) in the whole system. Recently, a construction structure, referred to as Multiple-antenna Placement Delivery Array (MAPDA), was proposed to construct coded caching schemes for this cacheaided MISO broadcast problem based on the joint design of coded caching and zero-forcing (ZF) precoding. In this paper, we first propose an upper bound on the sum-DoF of any MAPDA scheme given a fixed cache placement. Then, under a class of cyclic placements which leads to subpacketizations on the files linear with K, we propose two MAPDAs for the case L < KM/N achieving the sum-DoF 2L, which is order optimal within a factor of 2 when M/N ≤ 1/2 compared to the upper bound under the cyclic placement.
A Novel Method for Detecting Duchenne Muscular Dystrophy in Blood Serum of mdx Mice

Duchenne muscular dystrophy (DMD) is the most common form of muscular dystrophy, typically affecting males in infancy. The disease causes progressive weakness and atrophy of skeletal muscles, with approximately 20,000 new cases diagnosed yearly. Currently, methods for diagnosing DMD are invasive, laborious, and unable to make accurate early detections. While there is no cure for DMD, there are limited treatments available for managing symptoms. As such, there is a crucial unmet need to develop a simple and non-invasive method for accurately detecting DMD as early as possible. Raman spectroscopy with chemometric analysis is shown to have the potential to fill this diagnostic need.
Post-allogeneic stem cell transplant FLT3- targeted maintenance therapy: updates and considerations for clinical practice

Acute myeloid leukemia (AML) is characterized by multiple molecular and cytogenetic abnormalities, with increasing data to support clinical and prognostic implications to guide clinical decision making. One of the most well described mutations involves fms-like tyrosine kinase 3 (FLT3) that results in a constitutively active tyrosine kinase and is generally associated with poor prognosis involving shorter overall survival and higher rates of relapse. Advancements in targeted therapies have greatly influenced available treatment options in a landscape that has remained largely unchanged for the past five decades. Tyrosine kinase inhibitors (TKI), specifically FLT3-targeted therapies, are now integral treatment options for patients with this targetable mutation. As allogeneic hematopoietic cell transplant (alloHCT) remains the primary curative therapy for most adult AML patients, the goal is for eligible patients to proceed to transplant. However, post-alloHCT relapse remains exceedingly high even in patients achieving deep responses to therapy. Limited evaluation of FLT3-targeted TKIs as post-alloHCT maintenance therapy in FLT3-positive patients suggest improved outcomes and tolerable safety profiles, with ongoing studies further investigating second-generation agents. Thus, this commentary aims to review the role of post-alloHCT FLT3-targeted maintenance therapy and considerations for clinical practice.
Comparison of The Effect of High- and Low-Frequency Vibration Foam Rolling on The Quadriceps Muscle.

Vibration foam rolling (VFR) intervention has recently gained attention in sports and rehabilitation settings since the superimposed vibration with foam rolling can affect several physiological systems. However, the sustained effect and a comparison of the effects of different VFR vibration frequencies on flexibility and muscle strength have not been examined. Therefore, in this study, we aimed to investigate the acute and sustained effects of three 60-s sets of VFR with different frequencies on knee flexion range of motion (ROM) and muscle strength of the knee extensors. Using a crossover, random allocation design, 16 male university students (21.2 ± 0.6 years) performed under two conditions: VFR with low (35 Hz) and high (67 Hz) frequencies. The acute and sustained effects (20 min after intervention) of VFR on knee flexion ROM, maximum voluntary isometric contraction (MVC-ISO) torque, maximum voluntary concentric contraction (MVC-CON) torque, rate of force development (RFD), and single-leg countermovement jump (CMJ) height were examined. Our results showed that knee flexion ROM increased significantly (p < 0.01) immediately after the VFR intervention and remained elevated up to 20 min, regardless of the vibration frequency. MVC-ISO and MVC-CON torque both decreased significantly (p < 0.01) immediately after the VFR intervention and remained significantly lowered up to 20 min, regardless of the vibration frequency. However, there were no significant changes in RFD or CMJ height. Our results suggest that VFR can increase knee flexion ROM but induces a decrease in muscle strength up to 20 min after VFR at both high and low frequencies.
Cross-Correlation assisted and Time-Difference-of-Arrival based leak source localization on fluid-filled pipelines

In this paper a study of the Cross-Correlation (CC) based, Time Difference of Arrival (TDOA) method for leak source localization on fluid-filled, metallic pipelines is presented. Several, frequency domain CC estimators (General Cross-Correlators or GCC) are considered for the implementation of the localization technique, while real leakage, vibro-acoustic dataseries, captured from a real workplace building’s tap water pipe installation are utilized within the current analysis. Certain metrics like the rate of acceptable leak positioning results against all localization estimation experiments conducted, as well as the Relative Localization Error (LRE) of the accepted estimations are calculated and illustrated in order to shed light on the performance characteristics of the TDOA approach (in general and also per adopted CC estimator). The above study is pursued within the framework of project ESTHISIS, with end target the development of a smart sensor system for leakage detection in pipes carrying hydrocarbon products.
Restorative Justice Practices in Forensic Mental Health Settings – A Scoping Review

Abstract Restorative justice has long been considered an important alternative lens to approach illegal and harmful behavior compared to traditional criminal justice approaches. Despite this widespread and successful application, efforts to use this approach within forensic mental health settings have seemingly been minimal. This review aimed to synthesize the available information on the application, evidence for use, and barriers or unique considerations for restorative justice practices within forensic mental health settings. The PRISMA extension for scoping reviews checklist guided our reporting of the results. After conducting an extensive review of the literature, six peer-reviewed articles and five gray literature documents were included. Our results demonstrate that restorative justice approaches in forensic mental health settings are being used by a small number of committed individuals and are not broadly accepted or part of typical care services. The evidence for use of this approach is extremely sparse but do suggest that these interventions could be appropriate in forensic mental health settings as reports for positive impacts are available on three levels, with patients, victims, and organizations. Information about the unique considerations that should be made and how restorative justice in forensic mental health differs from use in other populations is discussed.
PAPR Reduction of OFDM Waveform in Integrated Passive Radar and Communication Systems

For the dual-function radar and communication (DFRC) system based on the orthogonal frequency division multiplexing (OFDM) signal, low peak-to-average power ratio (PAPR) design of the waveform is very important to improve the transmitting efficiency and overall performance. In this paper we consider this problem in the context of the integrated passive radar and communication (IPRC) system in which the channel state information (CSI) and transmitting waveform are unknown to the passive radar. In this context, the traditional constellation extension method is applicable but the effect of PAPR reduction is limited by the constellation size. To solve this problem, we propose a low PAPR waveform design method suitable for a large constellation size. The new method makes two improvements to significantly reduce the PAPR by increasing the constellation point participating in the extension and expanding the extension regions, which is independent of the CSI. Specifically, we adjust the extension regions by the scaling factor to obtain different PAPR, while remaining the pilot data unchanged. Furthermore, the communication performance is semi-analytically analyzed, and the consistency of semi-analytical results and simulation results verifies the effectiveness of the proposed method. Analysis and numerical results demonstrate that the proposed method can achieve good comprehensive performance of communication and passive radar detection compared with other methods in the case of large constellation size.
The Effectiveness of Blended Learning During the Covid-19 Pandemic at the High School Level

The purpose of this study was to determine the effectiveness of the application of blended learning on student motivation, student characteristics, and student interaction. The method used in this study is comparative quantitative by comparing the final grades of students before and during the covid-19 pandemic as supporting data. The population in this study were all students of classes XI and XII with a total sample of 218 students with a sample of 160 students taken using purposive sampling. Furthermore, the data collection technique was carried out by distributing questionnaires using google form media. And analyzed using content analysis. The results showed that there was a significant difference in students' final grades as evidence of the effectiveness of applying blended learning compared to face-to-face classes for mathematics, English, and Indonesian subjects; There is no significance between student characteristics and the effectiveness of blended learning; No significance between student interaction and the effectiveness of blended learning; There is a significance between learning motivation and the effectiveness of blended learning.