Miracle-dz/UniFAR-FTUs huggingface dataset:
The Design of an Ultra-Low-Power Ultra- wideband (4.5GHz-9.5GHz) Low Noise Amplifier in 0.13μm CMOS Technology

An ultra-low power and ultra-wideband LNA is designed and simulated in this paper. The core purpose of the design is the minimum power consumption in 0.13 μm CMOS technology. The proposed LNA is comprised of three differently biased common-source LNAs. Plus, the new and precise formulas for input impedance, output impedance, and the gain of common-source LNA are calculated in this paper. In order to bring down the power consumption of the circuit, the forward body biasing technique is utilised. MATLAB is used to design and solve all equations proposed in this paper. Furthermore, TSMC 0.13 μm CMOS process is used in Advanced Design System (ADS) to scrutinize the LNA. The results achieved are 2.13 dB-2.32 dB, -18.7 dB, 21.94 dB, -9, and 857 μW for Noise Figure (NF), the input matching (S11), gain (S21), IIP3, and power dissipation respectively.
Design of RF Energy Harvesting Using Microstrip Antenna

1Associate Professor of EXTC Engineering Department, SSPM’s College of Engineering, Kankavli, Maharashtra 2-4UG student, EXTC Engineering Department, SSPM’s college of Engineering, Kankavli, Maharashtra. ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract In this paper, an experimental RF energy harvesting system is designed to harvest energy from cell towers operating at 900MHz frequency band. Design procedure and characteristics of RF energy harvesting system using Microstrip patch antenna have been discuss and analyzed. The main function of RF energy harvesting system is to convert the RF signal into DC signal. This system is designed is such a way that it will capable to recycle RF energy at 900MHz, by connecting an antenna that is operating at 900MHz it is possible to form a complete rectenna device. A single stage as well as seven stage voltage doubler circuit designed and fabricated for DC voltage generation using Schottky diode. The designed is based on Villard voltage doubler circuit method.
Effect of temperature and humidity on evaporative Anna's hummingbird (CMypte anna)

Summary. Evaporative water loss (EWL), oxygen concumption (12o2), and body temperature (Tb) of Anna's Hummingbirds (Calypte anna," ca. 4.5 g) were measured at combinations of ambient temperature (T~) and water vapor density (0v,) ranging from 20 to 37 ~ and 2 to 27 g" m -3, respectively. The EWL decreased linearly with increasing 0v, at all temperatures. The slopes of least squares regression lines relating EWL to 0v, at different temperatures were not significantly different and averaged -0.50mg H20 �9 m -3 �9 g-2. h-~ (range: -0.39 to -0.61). Increased Ova restricted EWL in C. anna more than has been reported for other endotherms in dry air. The percent of metabolic heat production dissipated by evaporation (/te//:/m) was lower than that of other birds in dry air, but higher than that for other birds at high humidity when T,. 33 ~ the effect of humidity on HJHm was similar to that in other birds. CaIypte anna might become slightly hyperthermic at T~ > 37 ~ which could augment heat transfer by increasing the T b-T a gradient. Body temperature for C. anna in this study was 43 ~ (intramuscular) at T,s between 25 and 35 ~ which is above average for birds. It is estimated that field EWL is less than 30% of daily water loss in C. anna under mild temperature conditions ( < 35 ~
University of Birmingham The prevalence of concurrently raised blood glucose and blood pressure in India

Objective: In order to inform integrated, person-centered interventions, this study aimed to determine the prevalence of having both a raised blood glucose (BG) and blood pressure (BP) in India, and its variation among states and population groups. Methods: We pooled data from three large household surveys (the AHS, DLHS-4, and NFHS-4), which were carried out between 2012 and 2016 and included adults aged ≥15 years. Raised BG was defined as having a plasma glucose reading ≥126 mg/dl if fasted and ≥200 mg/dl if not fasted, and raised BP as a systolic BP ≥140 mmHg or diastolic BP ≥90 mmHg. The prevalence of having a concurrently raised BG and BP (‘co-morbid’) was agestandardized to India’s national population structure, and disaggregated by sex, age group, BMI group, rural-urban residency, household wealth quintile, education, state, and region. Results: The age-standardized prevalence of the co-morbidity was 1.5% (95% CI, 1.5-1.5), varying by a factor of 8.3 between states. Among those aged ≥50 years, 4.5% (95% CI, 4.34.7) with a BMI<23.0kg/m and 16.1% (95% CI, 15.0-17.4) with a BMI ≥30kg/m were comorbid. Age, BMI, household wealth quintile, male sex, and urban location were all positively associated with the co-morbidity. Conclusions: A substantial proportion of India’s population had both a raised BG and BP, calling for integrated interventions to reduce CVD risk. We identified large variation among states, age groups, and by rural-urban residency, which can inform health system planning and the targeting of interventions, such as appropriate screening programs, to those most in need.
Resilience Assessment of Water Quality Sensor Designs under Cyber-Physical Attacks

Water distribution networks (WDNs) are critical infrastructure for the welfare of society. Due to their spatial extent and difficulties in deployment of security measures, they are vulnerable to threat scenarios that include the rising concern of cyber-physical attacks. To protect WDNs against different kinds of water contamination, it is customary to deploy water quality (WQ) monitoring sensors. Cyber-attacks on the monitoring system that employs WQ sensors combined with deliberate contamination events via backflow attacks can lead to severe disruptions to water delivery or even potentially fatal consequences for consumers. As such, the water sector is in immediate need of tools and methodologies that can support cyber-physical quality attack simulation and vulnerability assessment of the WQ monitoring system under such attacks. In this study we demonstrate a novel methodology to assess the resilience of placement schemes generated with the Threat Ensemble Vulnerability Assessment and Sensor Placement Optimization Tool (TEVA-SPOT) and evaluated under cyber-physical attacks simulated using the stress-testing platform RISKNOUGHT, using multidimensional metrics and resilience profile graphs. The results of this study show that some sensor designs are inherently more resilient than others, and this trait can be exploited in risk management practices.
Overtone Spectroscopy of Chloroform in a Supersonic Jet by Vibrationally Assisted Dissociation and Photofragment Ionization

We demonstrate overtone spectroscopy by vibrationally assisted dissociation and photofragment ionization (OSVADPI) in a supersonic jet expansion of chloroform seeded into argon. By comparison with a room temperature spectrum it was possible to identify hot band transitions in the N j = 4 l CH-stretch overtone spectrum thus obtained. In addition, transitions due to different isotopomers of chloroform and possible resonances are discussed, and assignments of the congested spectrum are suggested
Phytochemistry, GC-MS Analysis, Antioxidant and Antimicrobial Potential of Essential Oil From Five Citrus Species

Citrus essential oils were extraction from hydro distillation technique yielding Citrus oil with reasonable yield. Phytochemical screening of all five Citrus oils showed that alkaloids, tannins, sterols, terpenoids, saponoins, flavonoids were present (50-80%). GC/MS analysis showed highest percentage of limonene (58-89%) in Citrus oils. Antioxidant study revealed that Citrus peel oils have strong scavenging activity (83%-91%). Antimicrobial activity was evaluated by agar well method against eight common pathogens depicted marked antimicrobial potential especially tangerine (4.9-1.9 cm inhibition zones) and grapefruit oil (4.5-1.2 cm) inhibition zones. The studies emphasized the therapeutic and commercial utilization of Citrus peel essential oils as food preservatives, phytomedicine and antioxidant agent.
Evaluative and comparative study of biochemical, trace elements and antioxidant activity of Phlogacanthus pubinervius T. Anderson and Phlogacanthus jenkinsii C. B. Clarke leaves

The present research investigates presence of biochemical and nutritive contents and trace elements present in the leaves of Phlogacanthus pubinervius T. Anderson and Phlogacanthus jenkinsii C.B. Clarke. A comparative study of chemical compositions of the two plants in moisture content, micronutrients (Fe, Mn Cu) by using Atomic Absorption Spectroscopy (AAS); macronutrients (Na and K) by using Atomic Emission spectroscopy (AES); phosphorus, total sugar, total free phenol, bound phenol, total free amino acids and tannins by using UV-VIS spectrophotometer is reported. There are relatively high levels in the antioxidant activity of the methanolic extracts of leaves of both plants. The results suggest that the leaves of these plants have potential medicinal property through their high tannic acid contents showing disease resistivity, Fe, Mn, Cu, K to insulin potentiating property, phenolic content and antioxidant activity to free radical scavenging property.
Synthesis, Characterization and Antibacterial Activities of New Pd(II) And Pt(IV) Complexes of Some Unsymmetrical Tetradentate Schiff Bases

New palladium (II) and platinum (IV) complexes with a series of unsymmetrical tetradentate Schiff bases derived from aromatic 2-hydroxy aldehydes in an ethanolic medium were synthesized and characterized by elemental analyses, melting points, magnetic susceptibility, thermogravimetry, differential scanning calorimetry (DSC), infrared (IR), and electronic spectral measurements. The purity of the ligands and the metal complexes are confirmed by microanalysis, while the unsymmetrical nature of the ligands was further corroborated by 1 H-NMR spectroscopy. Comparison of the IR spectra of the Schiff bases and their metal complexes confirm that the Schiff bases act as tetradentate and coordinated via the two azomethine nitrogens and the two phenolic oxygens. Magnetic moments and electronic spectral data confirm square planar geometry for the Pd(II) and Pt(IV) complexes. Thermal studies reveal a general decomposition pattern, whereby the complexes decomposed partially in a single step due to loss of part of the organic moiety. The Schiff
POLYELECTROLYTE ENHANCED REMOVAL OF MERCURY FROM MIXED WASTE DEBRIS

We have developed a process for dissolving and removing elemental and ionic forms of mercury from solid surfaces. The process uses water-soluble chelating polymers (WSCP) that have been designed for mercury-ion selectivity and performance in the presence of dilute acid and mild oxidant. After a solution of the polymer is used to selectively leach the solids (e.g., mixed waste debris) and assist in the oxidation of elemental mercury, Hg(0), to ionic mercury, Hg(II), the resulting aqueous wash and rinse phases are treated by ultrafiltration with commercially available membranes to concentrate the mercury-polymer complex. The metal ion concentrate is released from the WSCP by adjusting the chemistry of the system, and the polymer and the original permeate waters are recycled for further debris-leaching, greatly reducing secondary wastes. The mercury concentrate is precipitated as the stable sulfide (HgS) for solid waste management.
Enhancement of the SO2 Sorption Capacity of CuO/γ-Al2O3 Sorbent by an Alkali-Salt Promoter

Sulfation of the alkali-salt-promoted CuO/γ-Al2O3 sorbent has been carried out in a thermogravimetric analyzer, and the thermal decomposition characteristics of the sorbent and alkali salt in N2 gas were determined by a differential thermal analyzer. An addition of alkali salt to the sorbent increases SO2 sorption and reduces the temperature range for bulk sulfation of the CuO/γ-Al2O3 sorbent. The main product in sulfation of the LiCl-promoted sorbent above 450 °C is found to be Al2(SO4)3 by an X-ray diffractometer. The rank for sulfur removal capacity of alkali salts as additives in CuO/γ-Al2O3 sorbent is found to be LiCl > LiBr ≈ NaCl > LiF ≈ KCl ≈ NaF. In the cycle test of sulfation−regeneration at 500 °C, SO2 removal capacities of LiCl- and NaCl-promoted sorbents are over 3 times than those of the promoter-free sorbent for up to 30 cycles.
Gait recognition using a few gait frames

Gait has been deemed as an alternative biometric in video-based surveillance applications, since it can be used to recognize individuals from a far distance without their interaction and cooperation. Recently, many gait recognition methods have been proposed, aiming at reducing the influence caused by exterior factors. However, most of these methods are developed based on sufficient input gait frames, and their recognition performance will sharply decrease if the frame number drops. In the real-world scenario, it is impossible to always obtain a sufficient number of gait frames for each subject due to many reasons, e.g., occlusion and illumination. Therefore, it is necessary to improve the gait recognition performance when the available gait frames are limited. This paper starts with three different strategies, aiming at producing more input frames and eliminating the generalization error cause by insufficient input data. Meanwhile, a two-branch network is also proposed in this paper to formulate robust gait representations from the original and new generated input gait frames. According to our experiments, under the limited gait frames being used, it was verified that the proposed method can achieve a reliable performance for gait recognition.
Potential Cancer- and Alzheimer’s Disease-Targeting Phosphodiesterase Inhibitors from Uvaria alba: Insights from In Vitro and Consensus Virtual Screening

Inhibition of the major cyclic adenosine monophosphate-metabolizing enzyme PDE4 has shown potential for the discovery of drugs for cancer, inflammation, and neurodegenerative disorders such as Alzheimer’s disease. As a springboard to explore new anti-cancer and anti-Alzheimer’s chemical prototypes from rare Annonaceae species, the present study evaluated anti-PDE4B along with antiproliferative and anti-cholinesterase activities of the extracts of the Philippine endemic species Uvaria alba using in vitro assays and framed the resulting biological significance through computational binding and reactivity-based experiments. Thus, the PDE4 B2B-inhibiting dichloromethane sub-extract (UaD) of U. alba elicited antiproliferative activity against chronic myelogenous leukemia (K-562) and cytostatic effects against human cervical cancer (HeLa). The extract also profoundly inhibited acetylcholinesterase (AChE), an enzyme involved in the progression of neurodegenerative diseases. Chemical profiling analysis of the bioactive extract identified 18 putative secondary metabolites. Molecular docking and molecular dynamics simulations showed strong free energy binding mechanisms and dynamic stability at 50-ns simulations in the catalytic domains of PDE4 B2B, ubiquitin-specific peptidase 14, and Kelch-like ECH-associated protein 1 (KEAP-1 Kelch domain) for the benzylated dihydroflavone dichamanetin (16), and of an AChE and KEAP-1 BTB domain for 3-(3,4-dihydroxybenzyl)-3′,4′,6-trihydroxy-2,4-dimethoxychalcone (8) and grandifloracin (15), respectively. Density functional theory calculations to demonstrate Michael addition reaction of the most electrophilic metabolite and kinetically stable grandifloracin (15) with Cys151 of the KEAP-1 BTB domain illustrated favorable formation of a β-addition adduct. The top-ranked compounds also conferred favorable in silico pharmacokinetic properties.
Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing

For people in developing countries, cassava is a major source of calories and carbohydrates. However, Cassava Mosaic Disease (CMD) has become a major cause of concern among farmers in sub-Saharan Africa countries, which rely on cassava for both business and local consumption. The article proposes a novel deep residual convolution neural network (DRNN) for CMD detection in cassava leaf images. With the aid of distinct block processing, we can counterbalance the imbalanced image dataset of the cassava diseases and increase the number of images available for training and testing. Moreover, we adjust low contrast using Gamma correction and decorrelation stretching to enhance the color separation of an image with significant band-to-band correlation. Experimental results demonstrate that using a balanced dataset of images increases the accuracy of classification. The proposed DRNN model outperforms the plain convolutional neural network (PCNN) by a significant margin of 9.25% on the Cassava Disease Dataset from Kaggle.
Toxicity of herbal medications suggested as treatment for COVID‐19: A narrative review

In the absence of a definitive cure, herbal medications are gaining increasing popularity in the general public for treatment of coronavirus disease 2019 (COVID‐19). Although many herbal preparations are safe and can be used without complication, serious toxicities do occur. This article focuses on the major characteristics and toxicities of herbal preparations that have been proposed as treatments for COVID‐19.
Temperature and pressure dependence of hydrogen bond strength: A perturbation molecular orbital approach

Lengths and strengths of hydrogen bonds are exquisitely sensitive to temperature and pressure. Temperature and pressure sensitivity is the result of the fact that hydrogen bonds are so weak that the internal energy of the bond is important to bond strength, and the equilibrium bond distance is controlled by a combination of thermodynamics and quantum mechanics, rather than quantum mechanics alone. The importance of thermodynamics in the bond length, and strength, of hydrogen bonds is the result of a breakdown in the Born-Oppenheimer approximation that occurs when the energy of the first vibrational excitation of a bond is of the order of kT. Variation of water–water hydrogen bond length and strength with temperature and pressure is discussed in light of the data for the specific volume of ice Ih, the enthalpy of vaporization of liquid water, and the internal energy of the liquid. In most chemical contexts, correction of covalent bond strength for internal energy is not necessary. For hydrogen bonds this i.
The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN

Brain-computer interface (BCI) is a viable alternative communication strategy for patients of neurological disorders as it facilitates the translation of human intent into device commands. The performance of BCIs primarily depends on the efficacy of the feature extraction and feature selection techniques, as well as the classification algorithms employed. More often than not, high dimensional feature set contains redundant features that may degrade a given classifier’s performance. In the present investigation, an ensemble learning-based classification algorithm, namely random subspace k-nearest neighbour (k-NN) has been proposed to classify the motor imagery (MI) data. The common spatial pattern (CSP) has been applied to extract the features from the MI response, and the effectiveness of random forest (RF)-based feature selection algorithm has also been investigated. In order to evaluate the efficacy of the proposed method, an experimental study has been implemented using four publicly available MI dataset (BCI Competition III dataset 1 (data-1), dataset IIIA (data-2), dataset IVA (data-3) and BCI Competition IV dataset II (data-4)). It was shown that the ensemble-based random subspace k-NN approach achieved the superior classification accuracy (CA) of 99.21%, 93.19%, 93.57% and 90.32% for data-1, data-2, data-3 and data-4, respectively against other models evaluated, namely linear discriminant analysis, support vector machine, random forest, Naïve Bayes and the conventional k-NN. In comparison with other classification approaches reported in the recent studies, the proposed method enhanced the accuracy by 2.09% for data-1, 1.29% for data-2, 4.95% for data-3 and 5.71% for data-4, respectively. Moreover, it is worth highlighting that the RF feature selection technique employed in the present study was able to significantly reduce the feature dimension without compromising the overall CA. The outcome from the present study implies that the proposed method may significantly enhance the accuracy of MI data classification.
Implementation of Laser-Induced Anti-Stokes Fluorescence Power Cooling of Ytterbium-Doped Silica Glass

Laser cooling of a solid is achieved when a coherent laser illuminates the material, and the heat is extracted by annihilation of phonons resulting in anti-Stokes fluorescence. Over the past year, net solid-state laser cooling was successfully demonstrated for the first time in Yb-doped silica glass in both bulk samples and fibers. Here, we report more than 6 K of cooling below the ambient temperature, which is the lowest temperature achieved in solid-state laser cooling of silica glass to date to the best of our knowledge. We present details on the experiment performed using a 20 W laser operating at a 1035 nm wavelength and temperature measurements using both a thermal camera and the differential luminescence thermometry technique.
Changes in the screening efficacy of lower calf circumference, SARC-F score, and SARC-CalF score following update from AWGS 2014 to 2019 sarcopenia diagnostic criteria in community-dwelling older adults

[Purpose] To identify changes in the efficacy of the Asia Working Group for Sarcopenia (AWGS) screening tools and the differences between the different screening tools following the updates from the AWGS 2014 to 2019 criteria for community-dwelling older adults. [Participants and Methods] We included 139 community-dwelling older adults aged ≥65 years. We assessed the lower calf circumference, SARC-F score, SARC-CalF score, skeletal muscle mass, grip strength, and gait speed. Moreover, we investigated the sensitivity, specificity, likelihood ratios, and area under the ROC curve of the lower calf circumference, SARC-F score, and SARC-CalF score using the AWGS 2014 and 2019 criteria for sarcopenia diagnosis. [Results] The prevalences of sarcopenia were 10.8% and 12.9%, and 5.0% using the AWGS 2014 and 2019, and 2019 severe sarcopenia diagnostic criteria, respectively. Using AWGS 2014 criteria, the sensitivity and specificity of lower calf circumference, SARC-F score, and SARC-CalF score, were 86.7% and 62.1%, 13.3% and 91.9%, and 66.7% and 80.6%, respectively. Using AWGS 2019 criteria, the sensitivity and specificity of lower calf circumference, SARC-F score, and SARC-CalF score were 83.3% and 62.8%, 11.1% and 91.7%, and 66.7% and 81.8%, respectively. Using AWGS 2019 severe sarcopenia criteria, the sensitivity and specificity of lower calf circumference, SARC-F score, and SARC-CalF score were 100% and 59.8%, 14.3% and 91.7%, and 71.4% and 78.0%, respectively. [Conclusion] All screening tools used in AWGS 2014 and 2019 were similar in terms of efficacy; however, the AWGS 2019 severe sarcopenia criteria had different characteristics.