Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Nanoparticles of Piper crocatum Leaves Ethanolic Extract on Liver Insulin Receptor Expression of Diabetic Rat’s Induced by Streptozotocin

Diabetes mellitus is a disease related to hyperglycemia and insulin resistance that can lead to the outcome of chronic liver diseases such as nonalcoholic fatty liver disease (NAFLD). Red betel leaves are known as traditional plants that have anti-hyperglycemic potential. This study aimed to investigate the effect of ethanolic extract of red betel leaves nanoparticle (RbL-Nps) on the liver and hepatic insulin receptor’s (INSR) expression in diabetic rats. Thirty rats were included in this study and further divided into five groups containing six rats each. Group I (GI) comprised of the normal rats; while group II (GII), III (GIII), IV (GIV) and V (GV) comprised of diabetic rats induced by streptozotocin (STZ) at dose of 45 mg/kg bw and nicotinamide (NA) at dose of 110 mg/kg bw, intraperitoneally. Group I and II were treated with 0,5% Na-CMC orally. Group III, IV and V were given the oral administration of RbL-Nps at the doses 30, 60, and 90 mg/kg bw diluted in 0,5% Na-CMC, respectively. All groups were treated once daily and subsequently euthanized after 28 days. Liver tissues were collected for immunohistochemistry method to see the INSR expression and haematoxylin-eosin (HE) staining. Result in this study revealed that INSR expression on the GI, GIII and GIV were significantly higher compared to that on the GII (p < 0.05). On the other hand, there were no significant differences on the INSR expression between GV and GII (p > 0.05). Histologically, liver tissues retrieved from GII showed severe vacuolic and necrotic hepatocytes with dilatated sinusoid. Mild vacuolic and necrotic hepatocytes were observed from GV. There were no pathological changes observed in the liver tissues retrieved from GI, GII, and GIV. We concluded that RbL-Nps improved the liver condition of diabetic rats at doses of 30 and 60 mg/kg bw, but not at doses of 90 mg/kg bw.
Bayesian State Estimation for Tracking and Guidance Using the Bootstrap Filter

The bootstrap filter is an algorithm for implementing recursive Bayesian filters. The required density of the state vector is represented as a set of random samples that are updated and propagated by the algorithm. The method is not restricted by assumptions of linearity or Gaussian noise: It may be applied to any state transition or measurement model. A Monte Carlo simulation example of a bearings-only tracking problem is presented, and the performance of the bootstrap filter is compared with a standard Cartesian extended Kalman filter (EKF), a modified gain EKF, and a hybrid filter. A preliminary investigation of an application of the bootstrap filter to an exoatmospheric engagement with non-Gaussian measurement errors is also given.
Interpretable Learning for Travel Behaviours in Cyber-Physical-Social-Systems

Interpretable learning is important for understanding human behavioral patterns in Cyber-Physical-Social-Systems (CPSS). It facilitates smart decision-makings of intelligent algorithms so that the management of such human-machine hybrid systems can be efficient and optimal. Unlike the big data driven transportation management, this paper introduces a new interpretable learning method using fuzzy logic to semantically extract travel behaviors. Computational experiments based on actual traffic data indicate that our method is able to generate explicit rules, and these rules can be used to predict traffic patterns very well.
Rare earth magnets resisting eddy currents

Magnets with high electrical resistance were prepared by electrically isolating Sm/sub 2/Co/sub 17/ and Nd/sub 2/Fe/sub 14/B powder particles. This is achieved by a polymer mixture consisting of epoxy polyester-insulant (EPI), polyvinylbutyral (PVB), epoxy resin (ER) and silane coupling (SC). The properties of interest for anisotropic Sm/sub 2/Co/sub 17/ and isotropic Nd/sub 2/Fe/sub 14/B magnets respectively are /spl rho/=1/spl times/10/sup 5/ /spl Omega/-cm/sup 2//m, Br=6.8 kG, iHc=10.0 kOe, (BH)max=9.2 MGOe in 5%EPI, 4%PVB, 2%ER, 1%SC and /spl rho/=9.4/spl times/10/sup 4/ /spl Omega/-cm/sup 2//m, Br=4.5 kG, iHc=9.5 kOe, (BH)max=13 MGOe in 4%EPI, 3%PVB, 2%ER, 1%SC. The insulated magnets exhibit far better magnetic stability than those of sintered and bonded magnets after magnetizing in radio frequency field. The insulated Sm/sub 2/Co/sub 17/ magnet has the best performance in resisting eddy current. At 500 kHz frequency, 830 Oe magnetizing-field and in one minute, the irreversible loss of recoil remanence is 1.47% and 22.2% respectively for insulated Sm/sub 2/Co/sub 17/ and Nd/sub 2/Fe/sub 14/B magnets.
Similarity Solution for Formation of a Circumstellar Disk through the Collapse of a Flattened Rotating Cloud

We present similarity solutions that describe the runaway collapse of a rotating isothermal disk and its subsequent inside-out collapse. The similarity solutions contain the sound speed cs and the ratio ω of the specific angular momentum to the mass as model parameters. During the runaway collapse, the surface density of the disk is nearly constant in the central part and inversely proportional to the radius in the tail. As the central surface density increases by collapse, the central high surface density part shrinks its radius. Thus the surface density becomes a 1/r power law at the end of runaway collapse. In the subsequent inside-out collapse phase, the disk has two parts: an inner rotating disk in quasi-equilibrium and an outer dynamically infalling envelope. The inner disk and outer envelope are bounded by a shock wave. The mass and outer edge of the inner disk grow at a constant rate. The accretion rate is proportional to the cube of the sound speed, i.e., Ṁ ∝ c3s/G, where G denotes the gravitational constant. The similarity solution of the runaway collapse can reproduce numerical simulations of dynamical collapse of either rotating or magnetized disks. The similarity solution of the inside-out collapse denotes growth of a centrifugally supported circumstellar disk. This solution can apply to a protostar that accretes gas substantially through the disk.
Remote Monitoring of Skin Temperature Through a Wristband Employing a Printed VO Sensor

The need for highly sensitive, environmentally stable, mechanically flexible, and low-cost temperature sensors for on-body measurements has been increasing with the wide adoption of personal healthcare-Internet-of-Things (H-IoT) devices. Printed electronics (PE) is a good platform for such sensors because it enables the realization of flexible devices through simple and rapid methods at a relatively low cost. However, previously reported printed temperature sensors suffer from poor sensitivity and/or environmental instability. In this article, we report a custom tungsten (W)-doped vanadium dioxide (VO2) ink-based screen-printed temperature sensor having the highest temperature coefficient of resistance (TCR) of 2.78% C-1 with a resolution of 0.1 °C between 30 °C and 40 °C. To protect it from environmental effects, a fluoropolymer-basedpassivation layer is added for accurate temperature readings even in 90% relative humidity. The sensor is printed on a flexible substrate and shows minimal deterioration in performance over 1000 bending cycles. For wearability and remote monitoring, the sensor is integrated with a custom Bluetooth low energy (BLE) wireless readout in the form of wristband. The BLE readout comprises an ultrathin and flexible patch antenna optimized for both BLE bandwidth (BW) and human wearability. It demonstrates a minimal specific absorption rate (SAR) value of only 0.068 W/kg, making it safe to wear. Despite the antenna’s thin structure (0.004λ), it has a gain of 1.65 dBi, enabling an excellent communication range. The proposed wristband is tested on ten volunteers and under daily activities, which shows promising results with a maximum error of 0.16 °C with reference to those of a commercial thermometer.
From Nucleus to Organs: Insights of Aryl Hydrocarbon Receptor Molecular Mechanisms

The aryl hydrocarbon receptor (AHR) is a markedly established regulator of a plethora of cellular and molecular processes. Its initial role in the detoxification of xenobiotic compounds has been partially overshadowed by its involvement in homeostatic and organ physiology processes. In fact, the discovery of its ability to bind specific target regulatory sequences has allowed for the understanding of how AHR modulates such processes. Thereby, AHR presents functions in transcriptional regulation, chromatin architecture modifications and participation in different key signaling pathways. Interestingly, such fields of influence end up affecting organ and tissue homeostasis, including regenerative response both to endogenous and exogenous stimuli. Therefore, from classical spheres such as canonical transcriptional regulation in embryonic development, cell migration, differentiation or tumor progression to modern approaches in epigenetics, senescence, immune system or microbiome, this review covers all aspects derived from the balance between regulation/deregulation of AHR and its physio-pathological consequences.
Chemical composition and X-ray emission from starburst blown superbubbles

Abstract Recent observational results related to the X-ray emission from SB galaxies are reviewed. The results of calculations of the superbubble inner hot gas metallicity are presented. It is shown that supernova metal ejection leads to a high overabundance of the hot bubble interior, that allows for up to an order of magnitude higher X-ray luminosities compared with the standard model predictions.
Striatal ZBTB16 Is Associated With Cognitive Deficits in Alzheimer Disease Mice

Purpose In Alzheimer disease (AD), brain regions such as the cortex and the hippocampus show abundant amyloid load which correlates with cognitive function decline. Prior to the significant development of AD pathophysiology, patients report the manifestation of neuropsychiatric symptoms, indicating a functional interplay between basal ganglia structures and hippocampal regions. Zinc finger and BTB domain-containing protein 16 (ZBTB16) is a transcription factor that controls the expression of downstream genes and the involvement of ZBTB16 in the striatum undergoing pathological aging in AD and the resulting behavioral phenotypes has not yet been explored. Methods To study molecular alterations in AD pathogenesis, we analyzed the brain from amyloid precursor protein (APP)/ presenilin 1 (PS1) transgenic mice. The molecular changes in the striatal region of the brain were analyzed via the immunoblotting, and the quantitative RNA sequencing. The cognitive impairments of APP/PS1 mice were assessed via 3 behavioral tests: 3-chamber test, Y-maze test, and noble object recognition test. And multielectrode array experiments for the analysis of the neuronal activity of the striatum in APP/PS1 mice was performed. Results We found that the alteration in ZBTB16 levels that occurred in the early ages of the pathologically aging striatum coalesces with the disruption of transcriptional dysregulation while causing social memory deficits, anxiety-like behavior. The early ZBTB16 knockdown treatment in the striatum of APP/PS1 mice rescued cognition that continued into later age. Conclusions This study demonstrates that perturbation of transcriptional regulation of ZBTB16 during pathological aging may influence cognitive impairments and reveals a potent approach to targeting the transcriptional regulation of the striatum for the treatment of AD.
Machine Learning based Robust Techniques to Detect DDoS Attacks in WSN

One of the most hazardous threats in the current environment is DDOs attacks. It is challenging to identify and defend against these attacks since they are becoming more sophisticated and more frequent every day. So it’s important to identify and prevent such type of attack before any impact. In this study, research on a new dataset of DDoS attacks which includes HTTP Flood attacks, and UDP Flood is conducted.SVM, KNN, and Random Forest among other machine learning algorithms for classification are used in this work to classify nodes as malicious or non-malicious nodes. Additionally, Fuzzy inference rules are applied to malicious nodes classified by machine learning algorithms(SVM, KNN, and Random Forest)accurately identify nodes as highly malicious, moderate malicious, or nonmalicious. Finally using all the processed information a decision is made to eliminate all the highly malicious nodes. Moreover, we have created a dataset namely AVV-DDos2286 which will be made publicly available for further studies on DDO attacks. Our proposed method uses a better hybrid approach combining machine learning algorithms with Fuzzy logic systems which outperform conventional DDos attack detection systems implemented using stand-alone machine learning algorithms. The results obtained has an accuracy of about 94% for classification.
Is there an acoustic resonance in the solar chromosphere

By comparing helioseismology data from 1986, 1988, and 1989, it was found that the frequecy dependence of the frequency perturbation of solar p-modes caused by solar activity drops abruptly for modes of frequency above approximately 3.9 mHz. The drop in the frequency dependence of the frequency shift may result from solar cycle changes in the chromosphere, provided that the chromosphere acts as a cavity in which p-modes are trapped (Goldreich et al.). No evidence is found in the temporal power spectrum of a time series of narrow-band Ca II K-line filtergrams of a resonance which would reveal the existence of a chromospheric cavity. This circumstance constrains the possible physical explanations of the frequency shifts. 11 refs.
The Effects of Behavioral Skills Training on Staff Implementation of Multiple Stimulus without Replacement Preference Assessment

In this study, three special education teachers were trained to evaluate preferences without alternative multiple stimulus in 10 children with special needs using a multiple baseline across subjects experimental design and behavioral skills training program. The results showed that the behavioral skill training significantly improved the accuracy of the three special education teachers' preference assessment procedures, and the skill was generalized in the preference assessment of other special children.
The Effect of Dog Presence on the Therapeutic Alliance: A Systematic Review

Simple Summary The therapeutic alliance is the relationship between clinician and client. It is one of the most important predictors of successful treatment outcomes, regardless of the type of treatment or theoretical framework used by the clinician. Therefore, it is important to investigate the factors which may positively influence the development of a strong therapeutic alliance. One possible factor is the presence of a dog in a psychological therapy session. Dogs are known to promote positive interactions between the handler and other people, so studies have explored whether the presence of a dog during therapy positively supports the therapeutic alliance. We performed a systematic review of all research examining this topic and found six studies that met the inclusion criteria. Three of the studies found no significant effect of dog presence on the therapeutic alliance; however, the other three did find a significant effect. No studies reported any negative effects of dog presence. The reason for these conflicting results is not clear, but may relate to the types of outcome measures used, or the characteristics of the dog itself, such as breed. It is too early to recommend that dogs be employed in therapy sessions to establish a therapeutic alliance. Abstract The development of a therapeutic alliance represents one of the most important processes that occurs in psychological therapy and is one of the strongest predictors of treatment outcome. To ensure the effective delivery of psychological interventions, it is important to explore factors which may improve the therapeutic alliance. There are well-documented effects of human–animal interactions in social settings, and researchers have also considered the effect of dog presence on the therapeutic alliance. A systematic review was conducted in accordance with the preferred reporting items for systematic reviews and meta-analyses (PRISMA) checklist. Database searches included CINAHL, Cochrane, Embase, MEDLINE, PsycINFO, and Scopus. The inclusion criteria were studies that assessed the effect of dog presence on the therapeutic alliance and provided a quantitative outcome measure. Six studies met the inclusion criteria and were included in the systematic review. Three of the included studies observed no significant effect of dog presence on the therapeutic alliance; three studies did observe a positive effect, with effect sizes ranging from d = 0.10 to d = 0.58. All six studies took place in either research or clinical settings. Studies differed in terms of help-seeking versus non-help-seeking populations, where help-seeking populations were genuinely pursuing a psychological intervention. Heterogeneity was observed regarding study procedure and outcome measures used. Current data is limited, and initial evidence suggests that the effect of dog presence on the therapeutic alliance remains unclear, illustrated by inconsistent outcomes across the included studies. Further research is warranted before introducing dogs into therapeutic settings for this purpose.
Strain and substoichiometry at the Si(100)/SiO2 interface

Interfacial strain and substoichiometric silicon oxides are the two principal causes that result in the redshift of the transverse and longitudinal optical phonons of the asymmetric stretch of O in the Si-O-Si bridging bond of thermal SiO 2 with decreasing oxide thickness. Analyses to comprehend these effects, therefore, require a consideration of both strain and interfacial substoichiometry. A method to isolate the contributions of strain and substoichiometry towards the observed shifts is proposed. The procedure, which utilizes a simple optical model and an effective medium approximation, allows an estimation of the average strain and substiochiometry in films of different thicknesses. Analyses of oxides formed at two different temperatures (550 and 700 °C) with dry and wet oxygen reveal how process conditions affect the interface properties.
Bacterial Communities and Antibiotic Resistance of Potential Pathogens Involved in Food Safety and Public Health in Fish and Water of Lake Karla, Thessaly, Greece

Bacterial communities, microbial populations, and antibiotic resistance of potential pathogens in the water and fish (Cyprinus carpio, flesh and gut) from different areas (A1, A2 and A3—A1 was linked with river water, A2 with cattle activity, and A3 with waters of a spring after heavy rains) of Lake Karla (Thessaly, Central Greece) were investigated. The isolated bacteria were identified using Matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) and were tested for resistance in 21 antibiotics. The microbiota composition of fish flesh was also studied using 16S amplicon-based sequencing Serratia fonticola and several species of Aeromonas (e.g., Aeromonas salmonicida, Aeromonas bestiarium, Aeromonas veronii, etc.) exhibited the highest abundances in all studied samples, while the microbiota profile between the three studied areas was similar, according to the culture-dependent analysis. Of them, S. fonticola was found to be resistant in the majority of the antibiotics for the water and fish (gut and flesh), mainly of the areas A1 and A2. Regarding 16S metabarcoding, the presence of Serratia and Aeromonas at genus level was confirmed, but they found at very lower abundances than those reported using the culture-dependent analysis. Finally, the TVC and the rest of the studied microbiological parameters were found at acceptable levels (4 log cfu/mL or cfu/g and 2–4 log cfu/mL or cfu/g, extremely low levels of E. coli/coliforms) in both water and fish flesh. Based on our findings, the water of Lake Karla would be used for activities such as irrigation, recreation and fishing, however, the development and implementation of a quality management tool for Lake Karla, to ensure environmental hygiene and prevention of zoonosis during the whole year, is imperative.
Measurement of the Viscosity of Atmospheric Argon from 3500 to 8500°K

A direct‐current, wall‐stabilized arc, constrained to cylindrical symmetry by a precision‐bore Vycor tube, was used to measure the viscosity μ(Tg) of atmospheric pressure argon over the heavy‐particle temperature range 3500 ≤ Tg ≤ 8500°K. Streak photography from perpendicular directions of 20‐30 μ graphite particles yielded the velocity profile u(r), from which the velocity gradient du/dr was obtained; the axial pressure gradient was determined with a micromanometer attached to taps in the arctube wall. These data were employed to solve the axial‐component momentum equation for μ(r). Tg(r) was determined from a linear similarity relation between u(r) and the heavy‐particle enthalpy, hg(r). Tg on the axis was found from absolute line and continuum measurements of the electron temperature, allowing for a small departure from kinetic equilibrium. The radius r was eliminated from μ(r) and Tg(r) to yield μ(Tg); the data are represented to within about 1% by μ(Tg) = 3.094 × 10−6 Tg0.740 g/cm-sec, with an experi.
Validation of a radioimmunoassay method for cortisol in buffalo milk whey. A preparatory step for future sensor technology

Abstract One animal-based method to evaluate welfare is the presence of stress. In dairy ruminants, the responses to stressors include the activation of both neuroendocrine and autonomous nervous system that can be evaluated through an endocrine assessment. The present study aimed to validate a radioimmunoassay method for cortisol in buffalo milk. Three formulations (whole and skimmed milk and whey) and three solvents (methanol diethyl ether and dichloromethane) were tested: methanol was characterised by the best extraction efficiency (69.88%), whey cortisol concentrations showed a significant correlation with whole extracted milk and were not affected by fat content variation during the milking session. The RIA used in the present study showed good precision, sensitivity and specificity: the dilutions test indicated the high reproducibility of the results, overlapping of the dilution curve and standard curve highlighted high specificity and the lack of interfering factors by buffalo whey matrix. It is concluded that the present assay suits the cortisol measurement in buffalo milk and the ranges described could be employed in the calibration of a biosensing technologies directly integrated in milking parlour systems. Highlights Buffalo milk whey revealed to be a matrix of great interest because of its high stability in terms of storage, transportation and processing. RIA method suits the cortisol measurement in buffalo milk Ranges described can be employed in the calibration of biosensors for non-invasive assessment of cortisol
The Hilbert Scheme of Space Curves of Degree d and Genus 3d−18

Let denote the Hilbert scheme of smooth connected curves of degree d and genus g in the projective 3-space ℙ3. We describe all irreducible components V of for every integer d ≤ 16. For each component V, we compute the dimension of V and determine whether is generically smooth along V or not. We show that if d ≥ 91, then has a unique irreducible component whose general member is contained in a smooth cubic surface, along which is generically smooth.