Miracle-dz/UniFAR-FTUs huggingface dataset:
Budget of nitrous acid (HONO) and its impacts on atmospheric oxidation capacity at an urban site in the fall season of Guangzhou, China

Abstract. Nitrous acid (HONO) can produce hydroxyl radicals (OH) by photolysis and plays an important role in atmospheric photochemistry. Over the years, high concentrations of HONO have been observed in the Pearl River Delta region (PRD) of China, which may be one reason for the elevated atmospheric oxidation capacity. A comprehensive atmospheric observation campaign was conducted at an urban site in Guangzhou from 27 September to 9 November 2018. During the period, HONO was measured from 0.02 to 4.43 ppbv with an average of 0.74 ± 0.70 ppbv. The emission ratios (HONO/NOx) of 0.9 ± 0.4 % were derived from 11 fresh plumes. The primary emission rates of HONO at night were calculated to be between 0.04 ± 0.02 ppbv h−1 and 0.30 ± 0.15 ppbv h−1 based on a high-resolution emission inventory. The HONO formation rate by the homogeneous reaction of OH + NO at night was 0.26 ± 0.08 ppbv h−1, which can be seen as secondary results from primary emission. They were both much higher than the increase rate of HONO (0.02 ppbv h−1) during night. Soil emission rate of HONO at night was calculated to be 0.019 ± 0.001 ppbv h−1. Assuming dry deposition as the dominant removal process of HONO at night, and a deposition velocity of at least ~2.5 cm s−1 is required to balance the direct emissions and OH + NO reaction. Correlation analysis shows that NH3 and relative humidity (RH) may participate in the heterogeneous transformation from NO2 to HONO at night. In the daytime, the average primary emission Pemis was 0.12 ± 0.01 ppbv h−1, and the homogeneous reaction POH + NO was 0.79 ± 0.61 ppbv h−1, larger than the unknown sources PUnknown (0.65 ± 0.46 ppbv h−1). These results suggest primary emissions as a key factor affecting HONO at our site, both during daytime and nighttime. Similar to previous studies, the daytime unknown source of HONO, PUnknown, appeared to be related to the photo-enhanced conversion of NO2. The daytime average OH production rates by photolysis of HONO was 3.7 × 106 cm−3 s−1, lower than that from O1D + H2O at 4.9 × 106 cm−3 s−1. Simulations of OH and O3 with the Master Chemical Mechanism (MCM) box model suggested strong enhancement effect of HONO on OH and O3 by 59 % and 68.8 %, respectively, showing a remarkable contribution of HONO to the atmospheric oxidation in the fall season of Guangzhou.
Use of activated red mud to remove phosphate and heavy metals from the effluent of biologically treated swine wastewater

Red mud(RM),a waste tailing from the alumina industry,was calcined at different temperatures and the calcined RM was used as adsorbent for removal of phosphate and heavy metals from the effluent of swine wastewater treated with a sequencing batch reactor(SBR). Adsorption of phosphate and heavy metals to raw RM and activated RM was studied as a function of dosage,pH and reaction time.The adsorption of phosphate,copper,zinc and arsenic to both RM and activated RM fit the Langmuir isotherm.Calcination enhanced the adsorption capacity greatly.The adsorption capacity of RM calcined at 900℃ for phosphate,copper,zinc and arsenic increased from 46.26,18.18,15.45 and 18.83 mg·g-1 to 149.00,65.17,99.20,27.51 mg·g-1,respectively.The pH has an obvious effect on the removal and high pH favors the removal of phosphate,copper,zinc and arsenic.The adsorption mechanism is suggested to include surface complexation reactions,and the mechanism of phosphate and arsenic removal may include coprecipitation.
Medical Device for Communication with Neuromotor Disabled Patients

In some circumstances, with the aid of assistive technologies, patients having neuromotor disabilities can interact with virtual keyboards by triggering virtual switches or moving a cursor on a screen to select desired items. This paper presents an electronic medical device used in eye tracking systems that helps the neuromotor disabled patients to communicate with the clinicians through a device connected to a computer. The proposed device contains a custom designed electronic module used to acquire the electrooculography signals, an Arduino Leonardo microprocessor board for the signal acquisition and processing, and a PC running a software in form of a visual keyboard. Due to their affections, the neuromotor disabled patients can't speak or write, but present cognitive function and manifest their intentions by moving their eyeballs. The application running an Arduino detects the patients' actions by moving the eyeballs in four directions and selects a key from a virtual keyboard by using dwell time selection method. The proposed medical device has been implemented and tested on simulated patients and the performances in terms accuracy of the desired key selection have been presented.
The PGDprime immunoassay for detection of bacterial contamination in platelet concentrates: sensitivity and specificity

Bacterial sepsis following platelet transfusion is a continuing threat. FDA issued a Final Guidance in September 2019 (updated December 2020) in which a rapid test may be used to mitigate this risk. The PGDprime Test (Verax Biomedical, Marlborough, MA, USA) is a day of transfusion, rapid, lateral-flow, qualitative immunoassay for the detection of aerobic and anaerobic Gram-positive and Gram-negative bacteria. The test may be used in the US as an FDA designated “safety measure” to extend storage of leukocyte-reduced apheresis platelets (LRAP) in plasma from 5 to 7 days in bags cleared or approved for this purpose. The PGDprime Test is a significant update to previous generations of the test. Sensitivity, specificity, training, and operational ease-of-use have all been improved. The test detects a broad range of pathogenic bacteria at concentrations below those that have been shown to cause septic transfusion reactions. Numerous publications have documented the interdiction by the test of pathogenic bacteria in platelets. This real-world experience documents the effectiveness of the test in preventing transfusion of bacterially contaminated components that have been presumed safe by negative primary culture. Use of the test to extend storage from 5 to 7 days has been demonstrated to significantly reduce outdating and save users more than the test costs to use. The specificity of the PGDprime Test was established in a validation study of 3,800 platelet components of all US platelet types except pathogen-reduced. No false-positives were detected. Specificity is 100% [lower 1-sided 95% confidence limit (LCL) 99.9%]. PGDprime is a sensitive, specific, easy to use, day of transfusion test that has been extensively validated in laboratory testing and clinical use. PGD testing has effectively interdicted the transfusion of many bacterially contaminated platelets. More than 1.4 million PGD devices have been shipped to users without a single reported fatal septic reaction resulting from the transfusion of a PGD-negative platelet. The test is specifically cleared as a “safety measure” to extend the outdate of LRAP in plasma to 7 days. As a result of reduced outdating, extending platelet dating to 7 days can save more money than the test costs while significantly enhancing platelet transfusion safety.
Deep Learning Based Gait Analysis for Contactless Dementia Detection System from Video Camera

Dementia is a neurodegenerative disease with a high incidence in the elderly. However, there is no effective treatment for this disease, and early intervention has a great effect to slow the deterioration. Currently, the detection of dementia is mainly achieved using questionnaire-like neuropsychological tests. Such ways usually cost a lot of time. To this end, we design a contactless dementia detection system based on gait analysis from surveillance video, and it can serve as a home-based healthcare system. This system applies a Kinect 2.0 camera to capture the human video and extract the skeleton joints at a rate of 15 frames per second. Two different gaits are collected for detection, namely single-task gait and dual-task gait. In this paper, we design a convolutional neural network based classifier to extract features in a data-driven way from these two groups of videos, but not take hand-crafted features. Experimental results show that we achieve a sensitivity of 74.10% on the test set using this system, and the processing only takes several minutes for early dementia detection.
Aerosol Assisted Chemical Vapor Deposition of Transparent Conductive Zinc Oxide Films

Highly conductive and transparent ZnO films were synthesized by the reaction of diethyl zinc (in toluene) with methanol by dual source aerosol assisted chemical vapor deposition. These films displayed a stable sheet resistance of 7.2 Ω/□ and high transmission across the visible region comparable to commercial transparent conducting oxides (TCOs) based on oxides of tin or indium. Doping the zinc oxide structure with fluorine (trifluorotoluene) resulted in dense compact films with improved electrical properties than ZnO films with a sheet resistance of 4.5 Ω/□. These films also displayed idealized surface texturing for photovoltaic applications. Fluorine concentration was 2 at. % determined by wavelength dispersive X-ray analysis (WDX). Aluminum doped zinc oxide films were also synthesized by introducing dopant amounts of trimethylaluminium solution (in toluene) into the system. These films exhibited low sheet resistances of 14 Ω/□. The aluminum concentration in the films was 4 at. % determined by WDX.
Predictive Analysis of the Pharmacokinetic and Toxicological Endpoints of Naphthalene and its Derivatives

Babatunde Oso McPherson University College of Natural and Applied Sciences Olubukola Agboola (  bkbakanni@gmail.com ) McPherson University College of Natural and Applied Sciences Ayodeji Awotula McPherson University College of Natural and Applied Sciences Ige Olaoye McPherson University College of Natural and Applied Sciences Godswill Akhigbe McPherson University College of Natural and Applied Sciences Emmanuel Nwokeocha McPherson University College of Natural and Applied Sciences
A 419pW Process-Invariant Temperature Sensor for Ultra-Low Power Microsystems

The paper presents a sub-nW BJT based temperature sensor for ultra-low power microsystems. The sensor is based on amplifying the difference between base­emitter voltages of BJTs using gate-leakage transistors. Implemented in UMC 65nm technology, the sensor occupies an area of 0.005mm<sup>2</sup>. It achieves a maximum non-linearity error of 0.12<sup>o</sup>C(3σ) over the temperature range of — 55<sup>o</sup>C to 80<sup>o</sup> C. Without any trimming, a worst case inaccuracy of +0.36<sup>o</sup>C/ — 1.61<sup>o</sup>C is observed w.r. t process variations, depicting the process-invariant nature of the temperature sensor. It also achieves a low supply sensitivity of 0.56<sup>o</sup>C/V over a wide supply range of 0.7V-3V. The power consumption of the sensor is 419pW at 27<sup>o</sup> C and 0.7V supply.
Formation and Self-Assembly of Cadmium Hydroxide Nanoplates in Molten Composite-Hydroxide Solution

In this article, we report a novel molten hydroxide strategy to prepare bulk-sized complexes of three-dimensional (3D) nanostructures at a large scale. Taking cadmium hydroxide as an example, we revealed that the bulk-sized architectures were composed by cross-linked nanoplates, which could be fabricated by a one-step hydrothermal route in the presence of molten composite-hydroxide (NaOH + KOH) at 200 °C. Powder X-ray diffraction, scanning electron microscopy, and transmission electron microscopy analysis show that the growth of the well-defined nanostructures actually undergoes two stages. Initially, with the mixture of cadmium chloride and a large excess of composite-hydroxide, a prestructure of aggregating nanoparticles is formed. Afterward, the prestructure recrystallizes into nanoplates of 150 nm thickness and with the (001) plane as exposed surface. Meanwhile, these nanoplates are interweaved and organized into a globe-like structure and 3D aggregates. We speculate that the molten hydroxide plays a critical role not only in providing a strong surface effect to allow recrystallization and anisotropic growth but also in realizing the self-assembly of nanoparticles in inorganic solution. The molten composite-hydroxide solution strategy was further extended into a calcium hydroxide system and the same assembling nanoplate architectures were successfully achieved.
Pulse Oximeter Monitoring Bracelet for COVID-19 Patient using Seeeduino

The increase in positive cases of COVID-19 makes it grave to monitor the level of oxygen saturation in the blood (SPO2) of COVID-19 patients. The purpose is to prevent silent hypoxia, which lowers oxygen levels in the blood without symptoms. In general, a conventional pulse oximeter is a clip that is clamped on a finger to measure SPO2 levels and heart rate per minute (HR). This research aims to design a compact pulse oximeter monitoring bracelet. The main components of the pulse oximeter monitoring bracelet are the Seeeduino XIAO microcontroller, MAX30100 sensor, and OLED display. The method of collecting data on ten people using a conventional pulse oximeter and prototype device to measure SPO2 and HR levels the interval 30 seconds were a taken measurement. The results show that the Pearson correlation value for SPO2 and HR are -0.73 and 0.98, respectively. These results demonstrated that there is a strong relationship between variables and sufficient linearity. In addition, a pulse oximeter monitoring bracelet is easy to use and low-costs, which makes it an attractive option for the successful implementation of such monitoring SPO2 and HR of COVID-19 patients.
Evaluation of innovative management success criteria in hotel establishments: Case study in Giresun-Turkey

The purpose of this study was to determine the success criteria for innovative management in hotel establishments that have a corporate identity in the Turkish city of Giresun as well as to find out the best hotel by ranking them based on the determined criteria. For the study, “Multi-objective Optimization by Simple Ratio Analysis (MOOSRA)” and “Evaluation Based on Distance from Average Solution (EDAS)” methods were used. The results revealed that the success criteria for innovative management are beneficial in increasing operational efficiency, performance, and customer satisfaction. The results also show that managers are well aware of the success criteria for innovative management that should be prioritized, as well as those that are likely to lead to the success of their establishments and keep them ahead of the competition. While “Presenting an Innovative Vision” was found as the most important success criteria, “Use of In-Hotel Information Sources” came out as the least important one. The hotels considered were then ranked following the identified criteria.
Alexithymia, Fear of Intimacy, and Relationship Satisfaction

Alexithymia, fear of intimacy, attachment security, and mood variables were examined as predictors of satisfaction in couple relationships after accounting for age, sex, relationship length, and marital status. Participants were 158 adults (52% women and 48% men) in an ongoing couple relationship for 1-19 years. They completed validated measures of the variables of interest online. Bivariate correlations were significant for all predicted associations. Multiple mediation modelling examined the hypothesis that the low relationship satisfaction reported by those with alexithymia can be explained by fear of intimacy, insecure attachment, and negative affect, after accounting for relevant covariates. Mediation was indicated for fear of intimacy and negative affect. Such factors may merit particular attention by clinicians working with alexithymic clients in couples therapy.
Collaborative Strategies for Supporting the Well-Being of Fathers of Young Children With Complex Disabilities

184 YOUNG EXCEPTIONAL CHILDREN Vol. 25, No. 4, December 2022 https://doi.org/10.1177/10962506211006060 DOI: 10.1177/10962506211006060 journals.sagepub.com/home/yec Article reuse guidelines: sagepub.com/journals-permissions © 2021 Division for Early Childhood Shortly after the birth of his second daughter, Mr. Malone learned that she had CHARGE syndrome, a genetic condition often associated with deafblindness. During the first years of Caroline’s life, she had multiple surgeries to address a range of medical issues, including being born with one kidney, cardiac abnormalities, and difficulties breathing and swallowing. Caroline is deafblind and delayed across multiple domains, including language, cognitive, and motor development. She has received early intervention services in her home since birth. When she soon turns 3 years old, she will begin attending preschool, possibly at a School of the Deaf. Mr. Malone works full time in the building and construction industry with rotating shifts. His wife had worked as an office manager prior to Caroline’s birth, but now stays at home to provide full-time care to Caroline and her older sister, Gretchen. The early intervention primary service provider, Mrs. Odom, working with Caroline told Mr. Malone’s wife that he should be taking American Sign Language (ASL) classes, so that he can communicate with Caroline and support her language development. Mr. Malone would do anything for his daughters, but when will he find 1006060 YECXXX10.1177/10962506211006060Young Exceptional ChildrenSupporting Fathers / Pancsofar et al. research-article2021
Compact Size, and Highly Sensitive, Microwave Sensor for Non-Invasive Measurement of Blood Glucose Level

None-invasive blood glucose measurement enables effective diagnosis and treatment of diabetic patients. The existing microwave sensors suffer from low sensitivity and large size. This article presents a highly sensitive and compact size non-invasive microwave sensor for real-time blood glucose measurements. We have developed a new sensing technique using directly connected Branch Line Coupler and Split Ring Resonators. This technique significantly improves the sensitivity by mitigating the limited coupling between transmission lines and resonators. In addition, using Split Ring Resonators reduces the sensor size due to capacitive and inductive effects, which are loaded to the Branch Line Coupler. The proposed sensing function is based on shifting the transmission notch frequency in coupled arm of the Branch Line Coupler, which is caused by loading the Split Ring Resonators with varying glucose concentration. A prototype sensor is fabricated and successfully tested using several glucose concentrations in deionized water. Experimental results demonstrate 0.72 MHz/mgdL−1 measurement sensitivity, which is higher in comparison with available sensors in PCB technology. The prototype sensor size is $3.5\times 3.5\times 0.16$ cm3.
Formation of GeO 2 under Graphene on Ge(001)/Si(001) Substrates by Water Vapor

Water vapor penetrates through defects in graphene layers grown on Ge(001)/Si(001) substrates and oxidization of germanium forming GeO2 is described. The presence of trigonal GeO2 underneath of graphene has been identified by Raman measurements. It has been found that formation of blisters of GeO2 under graphene leads to dramatic increase of intensity of graphene Raman spectrum. The increase is the most likely due to screening of graphene by GeO2 from nano-faced Ge(001) surface.
Hybrid Cache Management in IoT-Based Named Data Networking

Internet of Things (IoT) and named data network (NDN) are innovative technologies to meet up the future Internet requirements. NDN is considered as an enabling approach to improving data dissemination in IoT scenarios. NDN delivers in-network caching, which is the most prominent feature to provide fast data dissemination as compared to Internet protocol (IP)-based communication. The proper integration of caching placement strategies and replacement policies is the most suitable approach to support IoT networks. It can improve multicast communication which minimizes the delay in responding to IoT-based environments. Besides, these approaches are playing a most significant role in increasing the overall performance of NDN-based IoT networks. To this end, in this article, the challenges of NDN-IoT caching are identified with the aim to develop a new hybrid strategy for efficient data delivery. The proposed strategy is comparatively and extensively studied with NDN-IoT caching strategies through an extensive simulation in terms of average latency, cache hit ratio, and average stretch ratio. From the simulation findings, it is observed that the proposed hybrid strategy outperformed to achieve a higher caching performance of NDN-based IoT scenarios.
Fabrication and characterization of PCL/PLLA/CS composite fibers as extracellular matrix (ECM) mimetics

Abstract In this work, we fabricated scaffolds for epithelial cell differentiation based on functional fibers. Chitosan, PCL, and PLLA composite scaffolds were electrospun under two controlled atmospheres. SEM results have shown yarns (<300 nm), strings (∼500 nm), and ribbons (∼2 µm). DSC and TGA indicate the main melting temperature ∼61 °C and a degradation temperature at 277 °C. Aqueous swell and UV sterilization (10 min) processes were tested before performing epithelial cell cultures over selected electrospun substrates. Propagation of the immortalized human keratinocyte cell line HaCaT (24 h) on scaffolds, its non-cytotoxic effect (95% relative to control), and cell differentiation characteristics were observed. Graphical Abstract
Performance Analysis on Cell-Free Massive MIMO With Capacity-Constrained Fronthauls and Variable-Resolution ADCs

In the recently proposed cell-free massive multiple-input and multiple-output (MIMO) networks, the capacity of fronthaul links connecting all access points (APs) and a central processing unit (CPU) is limited. In this context, taking into consideration the spatial channel correlation at the APs, this article investigates the performance of cell-free massive MIMO systems with variable-resolution quantization, i.e., each analog-to-digital converter at the APs and quantizer at the CPU use arbitrary bits for quantization. Specifically, we first introduce a technique based on linear minimum mean-square to perform channel estimation. On this basis, we then derive the closed-form expressions of achievable rates over spatially correlated Rayleigh fading channels for both uplink and downlink if maximal ratio combining and maximal ratio transmission are used at the CPU. Finally, simulation results validate our theoretical analyses and corroborate that the performance of channel estimation and achievable rates reduces as the spatial correlation strengthens. Moreover, from a statistic perspective, under the constraint of the total number of quantization bits, it is preferable to assign more bits to the AP with larger aggregated large-scale fading coefficient and lower channel correlation.