Miracle-dz/UniFAR-FTUs huggingface dataset:
Selective detection of HFC and HCFC refrigerants using a surface acoustic wave sensor system

Halogenated hydrocarbons are the generic base of most refrigerants. They are known to be greenhouse gases; some of them are even suspected to have an ozone depleting potential. Thus, an urgent need exists to detect and identify these compounds. However, refrigerants usually have very low boiling points as well as low electrochemical activities. The latter problem is a serious obstacle to the development of appropriate electrochemical sensors. It is circumvented by using mass sensitive methods of detection. To solve the former problem, the analytical system has to be optimized with regard to effective collection and detection of the refrigerants. In this work, a system for detection and identification of refrigerants is presented, based on a surface acoustic wave sensor array. The system is using a two-step analyte preprocessing unit containing a molecular sieve filter to minimize humidity and a carboxen trap for preconcentration of the analytes. Refrigerants R22, R134a, and R507 have been selected for ana.
Spin Injection, Transport, and Detection at Room Temperature in a Lateral Spin Transport Device with Co2FeAl0.5Si0.5/n-GaAs Schottky Tunnel Junctions

We observed spin-valve signals and Hanle signals in four-terminal nonlocal measurements on a lateral spin transport device with Co2FeAl0.5Si0. 5(CFAS)/n-GaAs Schottky tunnel junctions. The estimated spin injection/detection efficiency was 0.06 at 4.2 K, which is larger than those of the devices with Fe and CoFe electrodes [Nature Physics 3 (2007) 197 and Appl. Phys. Lett. 99 (2011) 082108]. The spin diffusion length estimated from Hanle signals was consistent with the gap length dependency of the spin-valve signals. Furthermore, the spin-valve signals were observed at up to 290 K. This is the first demonstration of detecting spin accumulation in semiconductor with full-Heusler alloys electrodes at room temperature.
A non linear analytical model of switched reluctance machines

Nowadays, the switched reluctance machine are widely used. To determine their performances and to elaborate control strategy, we generally use the linear analytical model. Unhappily, this last is not very accurate. To yield accurate modelling results, we use then numerical models based on either 2D or 3D Finite Element Method. However, this approach is very expensive in terms of computation time and remains suitable to study the behaviour of eventually a whole device. However, it is not, a priori , adapted to elaborate control strategy for electrical machines. This paper deals with a non linear analytical model in terms of variable inductances. The theoretical development of the proposed model is introduced. Then, the model is applied to study the behaviour of a whole controlled switched reluctance machine. The parameters of the structure are identified from a 2D numerical model. They can also be determined from an experimental bench. Then, the results given by the proposed model are compared to those issue from the 2D-FEM approach and from the classical linear analytical model.
The Rab32/BLOC-3–dependent pathway mediates host defense against different pathogens in human macrophages

The small GTPase Rab32 and its exchange factor BLOC-3 complex control a new antimicrobial activity in mouse and human macrophages. Macrophages provide a first line of defense against microorganisms, and while some mechanisms to kill pathogens such as the oxidative burst are well described, others are still undefined or unknown. Here, we report that the Rab32 guanosine triphosphatase and its guanine nucleotide exchange factor BLOC-3 (biogenesis of lysosome-related organelles complex–3) are central components of a trafficking pathway that controls both bacterial and fungal intracellular pathogens. This host-defense mechanism is active in both human and murine macrophages and is independent of well-known antimicrobial mechanisms such as the NADPH (reduced form of nicotinamide adenine dinucleotide phosphate)–dependent oxidative burst, production of nitric oxide, and antimicrobial peptides. To survive in human macrophages, Salmonella Typhi actively counteracts the Rab32/BLOC-3 pathway through its Salmonella pathogenicity island-1–encoded type III secretion system. These findings demonstrate that the Rab32/BLOC-3 pathway is a novel and universal host-defense pathway and protects mammalian species from various pathogens.
PENENTUAN KADAR PROTEIN PADA SPIRULINA PLATENSIS MENGGUNAKAN METODE LOWRY DAN KJELDAH

Kadar protein yang sangat tinggi pada spirulina platensis atau ganggang hijau kebiruan ini bisa dimanfaatkan sebagai sumber protein untuk bahan baku industri makanan. Untuk memperoleh kandungan protein yg tinggi, terlebih dahulu dilakukan kultivasi spirulina menggunakan air laut yg dicampur dg air RO dg media pupuk walne Adapun untuk menentukan kandungan protein yg terdapat pada spirulina platensis hasil kultivasi bisa digunakan metode Lowry dengan spektrofotometer UV-VIS, panjang gelombang 650 nm, reagen folin dan larutan yg lain sehingga diketahui kadar protein.nya menggunakan larutan BSA (Bovine Serum Albumin). dan sebagai pembanding digunakan metode Kjeldahl, karena pada metode ini biasa digunakan secara Internasional dan masih merupakan metode standar untuk perbandingan terhadap semua metode lainnya. Pada metode ini presisinya tinggi dan biasa digunakan untuk estimasi protein. Sebagai pelarut digunakan HCl karena jenis pelarut ini memiliki tekanan osmotik cukup tinggi sehingga dapat dengan mudah memisahkan protein terhadap komponen yg lain. Dalam penelitian ini digunakan variabel kecepatan sentrifugal, kecepatan magnetic stirer dan lamanya pengadukan pada magnetic stirer, dan hasil penelitian menunjukan bahwa kadar protein tertinggi diperoleh menggunakan metode Lowry.pada kecepatan sentrifugal 6000 rpm, kecepatan magnetic stirrer 500 rpm dan waktunya 15 menit sebesar 37,5144 %
Characterization and Applications of a Bismuth Bulk Electrode

A bismuth bulk electrode (BiBE), a new solid-state electrode, is presented. The polycrystalline metal bismuth disk-shaped electrode was examined for its anodic stripping voltammetry performance, which was found to be well comparable to that achieved with the bismuth or mercury film electrodes. Useful potential windows of the BiBE in aqueous solutions of pH 1 to 13 were found to range from approximately −1.7 to −0.1 V, depending on pH, where either hydrogen evolution or anodic dissolution of metallic bismuth limit the electrochemical inertness of the BiBE. Employing cyclic voltammetry (CV), the cathodic behavior of the BiBE was examined by testing inorganic (cadmium(II) ions) and organic (2-nitrophenol) model compounds; a CV quasi-reversible behavior was recorded in the case of the Cd(II)-Cd(0) couple. The characteristics of the BiBE under anodic conditions, i.e., at bismuth surface coated with a thin conductive Bi2O3 film, was examined by testing two well-established redox systems, potassium hexacyanoferate(III) and ruthenium(III) hexaaminechloride; a nearly reversible behavior was recorded in the latter case. Based on the presented preliminary results, BiBE can be considered as an interesting alternative to common solid and (toxic) mercury electrodes for possible use in electrochemical studies and electroanalytical applications.
3D Networks from Self‐Assembling Ionic‐Complementary Octa‐Peptides

The self-assembly and gelation properties of a set of four octo-peptides AEAEAKAK, AEAKAEAK, FEFEFKFK and FEFKFEFK based on alanine (A), phenylalanine (F), lysine (K) and glutamic acid (E) were investigated via small angle neutron scattering (SANS). The SANS experiments suggest that AEAKAEAK peptide does not self-assemble in solution while AEAEAKAK form rod-like structure i.e.: fibres with a radius of ∼3.3 nm. The latter peptide does not form a gel suggesting that the fibres do not aggregate and form a three-dimensional network. On the other hand FEFEFKFK and FEFKFEFK peptides were found to form gels for concentrations higher than ∼7 mg ml−1. Below the critical gelation concentration these peptides were also found to form fibrillar structures with smaller average radii of ∼1.7 nm. Above the critical gelation concentration a scattering maximum is observed in the scattered intensity curve. From the position of the maximum a rough estimation of the mesh size of the gel network could be derived and was found to vary between 15 and 30 nm depending on the gel concentration.
Influence of diethylene glycol as a porogen in a glyoxal crosslinked polyvinyl alcohol hydrogel

Pore structure plays a great role in determining the physical and mechanical properties of a gel. In this study, a polyvinyl alcohol (PVA) based hydrogel has been synthesized using glyoxal as crosslinker, and the influence of diethylene glycol (DEG) as a porogen in modifying its properties has been investigated. The resulting hydrogel possesses a unimodal distribution of nanopores, the content & sizes of which are controlled by using various dosages of porogen. The hydrogel has been characterized using FTIR spectroscopy which confirms the acetal linkage formation caused by the crosslinking reaction. The presence of DEG influences its rheological properties & decreases its glass transition temperature (Tg). Cyclical swelling–deswelling of the hydrogel samples leads to their improvement. DEG also assists in modifying the thermo-responsive nature of the crosslinked PVA matrix.
Feed intolerance and postpyloric feeding in the critically ill child

Feeding intolerance (FI) is a common problem in critically ill children that results in feed interruptions impacting heavily on outcome. The lack of consistent and validated definition for FI makes difficult to know the real prevalence of this problem in these patients and precludes obtaining conclusive results on predictors and outcomes. Gastric dysmotility (GD) is the principal mechanism underlying FI. The aetiology of GD is largely unknown but many factors (vasoactive drugs, sedatives, opioids, muscle relaxation drugs, hypoperfusion) may be involved in its appearance. Future research must focus on clarifying the potential mechanisms of FI during critical illness as well as finding a proper and validate definition of FI. Several actions are used in clinical practice to reduce FI in critically ill children as prokinetic agents, change from polymeric to semi-elemental formulation and change of feed delivery method from intermittent bolus to continuous feeding. However, the evidence does not support the routine use of these methods to manage FI. Transpyloric enteral nutrition (TEN) is another option to manage FI in sick children as it has proven to be safe and well tolerated with few complications in these patients. TEN promote early nutrition and reduce the volume of gastric residues and the number of enteral nutrition interruptions increasing energy intake. Children with shock, acute kidney injury (AKI) and in the recovery of cardiac surgery may benefit from this technique. However, feeding tube insertion is difficult and it is not exempt of problems. Staff must be trained to detect and decrease complications associated with its utilization.
Variation in the Chain‐length Distribution Profiles of Endosperm Starch from Triticum and Aegilops Species

The baseline variation data on the chain-length distribution profiles of endosperm starch were acquired for use as a criterion for variation among bread wheat (Triticum aestivum L.) cultivars/lines. A total of 126 starch samples isolated from closely related species belonging to the Triticum-Aegilops group, i.e., five Triticum and 22 Aegilops species, were examined. Their side-chains were debranched by isoamylase and chain-length distribution profiles were determined by high-performance anion exchange chromatography with pulsed amperometric detection (HPAEC-PAD). An averaged chain-length distribution profile calculated from all data indicated that the most abundant side-chain had a degree of polymerization (DP) of 11 and its proportion based on relative peak area was 7.5%. The side-chains were classified into four groups, and the average proportions of each group were as follows; DP 6-12, 28.5% (range 26.3-30.9%); DP 13-24, 48.6% (46.2-50.8%); DP 25-36, 13.7% (12.8-15.2%) and DP ≥37, 8.9% (7.2-10.6%). The chain-length distribution profiles of Triticum and Aegilops species were essentially similar and no peculiar profile was observed. The range of the variation in the proportion of side-chain groups, however, was comparable to the difference between waxy and non-waxy bread wheat starches and among starches from wheat grown at different temperatures; this would affect the gelatinization and retrogradation properties of starch.
Resources and Capabilities Impact on Egyptian Travel Agencies' and Hotels ' Competitive Advantage: The mediating Role of Environmental Marketing Strategy

The extremely dynamic and competitive environment of the tourism industry leads to the search for new methods and strategies to distinguish itself from its competitors. One of the primary trends in this sphere is environmental marketing strategy that can exploit all organizations' resources and capabilities. It can also use as a good strategy and an essential pillar for the development and sustainability of travel agencies, restaurants, catering firms, hotels and so on. The purpose of this study is to investigate the organizational resources and capabilities effect on sustainable competitive advantage through the mediating role of environmental marketing strategy within Egyptian travel agencies and hotels. The present study is based on quantitative method to reach its aim. Data collection technique for the study is a structured questionnaire to collect data from 297 managers of five-star hotels and travel agencies (Category A) in Cairo which counted 33 hotels (Egyptian Hotel Guide, 2017) and 1267 travel agents (The Egyptian Travel Agents Association, 2017 and Egyptian Chamber of Tourism Establishments, 2017) to perceive their opinions on these resources and capabilities that lead to adopt an environmentally friendly strategic, and how this strategy affect competitive advantage. Statistical analyses were performed using the Statistical Package for Social Sciences (SPSS version 22) software. Results of study have been considered significant at p ≤ 0.05. Systematic random sampling was used since the subjects were chosen due to their convenient accessibility and proximity. Data collection was carried out during the period from November–December 2019. The study has revealed very valuable results in the way it investigated the perceptions of managers on the role of organizational resources and capabilities which lead to build EMS. Meanwhile, this mediator factor of environmental marketing strategy showed a significant positive effect on agencies’ and hotels’ sustainable competitive advantage.
Surface dynamics of benzenethiol molecules on Cu"111…

Scanning tunneling microscopy reveals that benzenethiol molecules adsorb on Cu(111) in two rotational conformations at a difference in binding energy of 0.01eV. A rotational barrier of 0.13eV allows for facile conversion between them even at cryogenic temperatures. The barrier for molecular diffusion is slightly higher at 0.15eV. Density functional theory calculations of the diffusion/translation trajectory are in good agreement with the measured barriers. These findings point to the importance of molecular dynamics for arenethiol-based molecular conductivity measurements.
The dynamics of networks

A review is presented of recent work calculating the dynamic properties of polymers in solution, where an attempt is made to see how changes in frequency, density and flexibility take one through various regimes of viscosity to elastic behaviour and how the number of entanglements and cross links affect this behaviour. It is argued that a series of lengths and frequencies naturally present themselves, and most of these regimes are capable of theoretical resolution.
A grid-point detection method based on U-net for a structured light system

Accurate detection of the feature points of the projected pattern plays an extremely important role in one-shot 3D reconstruction systems, especially for the ones using a grid pattern. To solve this problem, this paper proposes a grid-point detection method based on U-net. A specific dataset is designed that includes the images captured with the two-shot imaging method and the ones acquired with the one-shot imaging method. Among them, the images in the first group after labeled as the ground truth images and the images captured at the same pose with the one-shot method are cut into small patches with the size of 64x64 pixels then feed to the training set. The remaining of the images in the second group is the test set. The experimental results show that our method can achieve a better detecting performance with higher accuracy in comparison with the previous methods.
Mean-field and graph limits for collective dynamics models with time-varying weights

In this paper, we study a model for opinion dynamics where the influence weights of agents evolve in time via an equation which is coupled with the opinions’ evolution. We explore the natural question of the large population limit with two approaches: the now classical mean-field limit and the more recent graph limit. After establishing the existence and uniqueness of solutions to the models that we will consider, we provide a rigorous mathematical justification for taking the graph limit in a general context. Then, establishing the key notion of indistinguishability, which is a necessary framework to consider the mean-field limit, we prove the subordination of the mean-field limit to the graph one in that context. This actually provides an alternative (but weaker) proof for the mean-field limit. We conclude by showing some numerical simulations to illustrate our results.
The Effect of Declustering on the Size Distribution of Mainshocks

Declustering aims to divide earthquake catalogs into independent events (mainshocks), and dependent (clustered) events, and is an integral component of many seismicity studies, including seismic hazard assessment. We assess the effect of declustering on the frequency-magnitude distribution of mainshocks. In particular, we examine the dependence of the b-value of declustered catalogs on the choice of declustering approach and algorithm-specific parameters. Using the catalog of earthquakes in California since 1980, we show that the b-value decreases by up to 30% due to declustering with respect to the undeclustered catalog. The extent of the reduction is highly dependent on the declustering method and parameters applied. We then reproduce a similar effect by declustering synthetic earthquake catalogs with known b-value, which have been generated using an Epidemic-Type Aftershock Sequence (ETAS) model. Our analysis suggests that the observed decrease in b-value must, at least partially, arise from the application of the declustering algorithm on the catalog, rather than from differences in the nature of mainshocks versus fore- or aftershocks. We conclude that declustering should be considered as a potential source of bias in seismicity and hazard studies.
Personal mental health navigator: Harnessing the power of data, personal models, and health cybernetics to promote psychological well-being

Current digital mental healthcare solutions conventionally take on a reactive approach, requiring individuals to self-monitor and document existing symptoms. These solutions are unable to provide comprehensive, wrap-around, customized treatments that capture an individual’s holistic mental health model as it unfolds over time. Recognizing that each individual requires personally tailored mental health treatment, we introduce the notion of Personalized Mental Health Navigation (MHN): a cybernetic goal-based system that deploys a continuous loop of monitoring, estimation, and guidance to steer the individual towards mental flourishing. We present the core components of MHN that are premised on the importance of addressing an individual’s personal mental health state. Moreover, we provide an overview of the existing physical health navigation systems and highlight the requirements and challenges of deploying the navigational approach to the mental health domain.
An Agenda for Disinformation Research

In the 21st Century information environment, adversarial actors use disinformation to manipulate public opinion. The distribution of false, misleading, or inaccurate information with the intent to deceive is an existential threat to the United States--distortion of information erodes trust in the socio-political institutions that are the fundamental fabric of democracy: legitimate news sources, scientists, experts, and even fellow citizens. As a result, it becomes difficult for society to come together within a shared reality; the common ground needed to function effectively as an economy and a nation. Computing and communication technologies have facilitated the exchange of information at unprecedented speeds and scales. This has had countless benefits to society and the economy, but it has also played a fundamental role in the rising volume, variety, and velocity of disinformation. Technological advances have created new opportunities for manipulation, influence, and deceit. They have effectively lowered the barriers to reaching large audiences, diminishing the role of traditional mass media along with the editorial oversight they provided. The digitization of information exchange, however, also makes the practices of disinformation detectable, the networks of influence discernable, and suspicious content characterizable. New tools and approaches must be developed to leverage these affordances to understand and address this growing challenge.