Miracle-dz/UniFAR-FTUs huggingface dataset:
Adsorptive recovery of palladium(II) from aqueous solution onto cross-linked chitosan/montmorillonite membrane

A cross-linked chitosan/montmorillonite (CCTS-M) membrane was prepared successfully with a glutaraldehyde cross-linker, and then was characterized by FTIR, XRD, SEM/EDX, TG/DTG and XPS. The materials were used for removing palladium(II) from aqueous solutions. The effect of variable parameters including initial pH, contact time, initial concentration, and temperature were investigated. The results showed that the maximum capacity of the membrane was 193 mg g−1 at pH 2. This article not only described the adsorption behavior but also suggested isotherms, the kinetics data were best modeled using pseudo-second-order model, and the Langmuir isotherm model could fit the experimental data well. The thermodynamic parameters ΔG° ( 0) indicated that the adsorption was a spontaneous and endothermic process. FTIR and XPS techniques confirmed that the –NH3+, –NH2 and CN– functional groups in the CCTS-M membrane played prominent roles in the adsorption process. Our results revealed that the membrane could be a promising adsorbent for the recovery of palladium.
Handbook of inorganic substances

Since the discovery of X-ray diffraction in 1913 over 100 000 different inorganic substances (also called compounds or phases) have been structurally characterized. The aim of this reference work is to provide the researcher with a comprehensive compilation of all up to now crystallographically identified inorganic substances in only one volume. All data have been processed and critically evaluated by the "Pauling File" editorial team using a unique software package. Each substance is represented in a single row containing information adapted to the number of chemical elements.
Efficient Sink-Reachability Analysis via Graph Reduction

The reachability problem on directed graphs, asking whether two vertices are connected via a directed path, is an elementary problem that has been well-studied. In this paper, we study a variation of the elementary reachability problem, called the sink-reachability problem, which can be found in many applications such as static program analysis, social network analysis, large scale web graph analysis, XML document link path analysis, and the study of gene regulation relationships. To scale sink-reachablity analysis to large graphs, we develop a highly scalable sink-reachability preserving graph reduction strategy for input sink graphs, by using a composition framework. That is, individual sink-reachability preserving condensation operators, each running in linear time, are pipelined together to produce graph reduction algorithms that result in close to maximum reduction, while keeping the computation efficient. Experiments on large real-world sink graphs demonstrate the efficiency and effectiveness of our compositional approach to sink-reachability preserving graph reduction with a reduction rate of up to 99.74 percent for vertices and a rate of up to 99.46 percent for edges.
Deep Learning-Based Ground Vibration Monitoring: Reinforcement Learning and RNN–CNN Approach

This letter studies deep learning-based efficient ground vibration monitoring systems. In this work, artificial intelligence (AI) techniques are adopted to effectively deal with practical issues of data collection and classification. Specifically, we develop a novel energy-efficient data collection scheme by adopting deep Q-network-based reinforcement learning. Also, we propose an enhanced joint recurrent neural network (RNN) and convolutional neural network (CNN) approach for ground vibration classification. The performance of the proposed scheme is evaluated using real-world ground vibration data. The experimental results show that the proposed classification scheme outperforms the best existing scheme with CNN by more than 13% in terms of classification accuracy. It is also shown that the proposed energy management scheme can improve the accuracy of the proposed ground vibration monitoring system by 7.6% over the comparable scheme using equal power allocation.
Evaluation of symbol error probability using a new tight Gaussian Q approximation

In wireless communication systems, various performance metrics requires an evaluation of the Gaussian Q function. However, it is challenging to obtain a closed approximation to the Gaussian Q function in vicinity of small arguments. In this context, this paper portrays a tight approximation to the Gaussian Q function using the Gauss-Legendre numerical integration technique. This can be effectively used towards the computation of symbol error probability (SEP) integrals of different modulation techniques over fading channels. The framework provides an excellent agreement in contrast to the existing methods for SEP computation in Nakagami-m fading channels for all possible values of fading parameter. The model operates well for both higher and lower input arguments of the signal to noise ratios (SNRs). Furthermore, for performance evaluation in Nakagami-m fading channel, this approximation is used to derive the analytical solution for the SEP integrals in general rectangular and non-rectangular quadrature amplitude modulation (QAM).
Compact Orthogonal Multiple-Beam Antenna With Shared Aperture

In this letter, a planar array antenna with multiple-beams in orthogonal planes is proposed and investigated. A shared aperture is deployed for achieving a compact size, which is based on a cross transmitting network consisting of the substrate integrated waveguide (SIW) and the stripline. Two 1-D passive beamforming networks (BFNs) consisting of folded SIW Cassegrain reflectors are designed and integrated independently with the shared aperture. For demonstration, an 8 × 8 slot array at 26.0 GHz is designed and measured. In orthogonal planes, i.e., the xz plane and yz plane, six radiation beams have been achieved within ±40°, respectively. The proposed antenna is a good candidate for the millimeter-wave fifth-generation (5G) wireless applications.
Glucagon-like Peptide-1 (GLP-1) Agonists: A Review

Diabetes mellitus (DM) is defined as a metabolic disease and is characterized by persistent elevation of blood glucose levels (Hyperglycemia). It is linked with abnormalities in the metabolism of carbohydrates, fats and proteins and if this illness is untreated over period it results in chronic complications which include Microvascular Complications (retinopathy, nephropathy and neuropathy) and Macrovascular complications (Coronary artery disease, Peripheral arterial disease and stroke). These complications can be prevented by optimal management of patient with diabetes mellitus and thereby improves quality of life. Valuable information that was obtained from research and drug development efforts over the past several decades has been applied directly for improving outcomes in Diabetes mellitus patients and this broaden the therapeutic repository. In recent years incretin has become an important target in the treatment of Type-2 Diabetes mellitus and Glucagon like peptide-1 receptor agonists(GLP-1 RA) are known for their role in glucose lowering effects. Glucagon like peptide-1 receptor agonists (GLP-1 RA) are evolving as a crucial therapy to consider in Type-2 Diabetes mellitus patients and this class drugs are given because of their ability to lower glycated haemoglobin and their associated weight loss and low risk for hypoglycemia. In this article we review GLP-1 agonists as a treatment of type 2 diabetes, their chemistry other effects will also be discussed.
Assessing Fear-Avoidance Belief Questionnaire and Quality of Life in Housewives with Knee Osteoarthritis : A Research Protocol

Introduction - Osteoarthritis (OA) is an inflammatory disorder of cartilage, degeneration of synovial fluid,osteophyte formation, thinning of joint space and sub-chondral sclerosis. The prevalence of osteoarthritis inIndia was found to be around 28.7%. Females are generally more affected than males with the ratio of 2:1.Of all the joints knee and hip joint are seen to be most commonly affected joint in OA. Prevalence of kneepain is common amongst housewives due to prolong standing and frequent bending. Strenuous physicalactivity, especially activities requiring kneeling, knee-bending, stair climbing, squatting, prolonged standingas well as knee injury and trauma have also been linked to a high prevalence of symptomatic knee OA. KneeOA causes pain of various degree depending upon the severity of disease which can cause fear in patients.The fear related to pain can results in decrease in quality of life.Purpose - Purpose of this study was to assess fear amongst housewives related to OA using fear-avoidancebelief questionnaire and the effects of fear on their daily life using WHOQOL-BREF.Methodology - 200 housewives will be selected according to exclusion and inclusion criteria. Their kneeradiography was done to look for level of OA. Then those ladies were interview to find their fear related todisease and its effects and how that affects their quality of life.Results - Results are awaited till the study is completed.Conclusion - Conclusion of this study depends upon the result of this study.
Two-Phase Flow of Blood with Magnetic Dusty Particles in Cylindrical Region A Caputo Fabrizio Fractional Model

The present study is focused on the unsteady two-phase flow of blood in a cylindrical region. Blood is taken as a counter-example of Brinkman type fluid containing magnetic (dust) particles. The oscillating pressure gradient has been considered because for blood flow it is necessary to investigate in the form of a diastolic and systolic pressure. The transverse magnetic field has been applied externally to the cylindrical tube to study its impact on both fluids as well as particles. The system of derived governing equations based on Navier Stoke’s, Maxwell and heat equations has been generalized using the well-known Caputo–Fabrizio (C–F) fractional derivative. The considered fractional model has been solved analytically using the joint Laplace and Hankel (L&H) transformations. The effect of various physical parameters such as fractional parameter, Gr, M and on blood and magnetic particles has been shown graphically using the Mathcad software. The fluid behaviour is thinner in fractional order as compared to the classical one.
The role of private companies in improving nutrition of consumer groups in a developing country: a hedonic analysis of tilapia attributes in Bangladesh

ABSTRACT Consumers in developed countries are often willing to pay for high quality food, while the willingness to pay of poor consumers in developing countries is uncertain. The nutritious value increases the willingness to pay for quality, whereas the lack of affordability reduces it. The purpose of this study is to identify the implicit price of the quality attributes of tilapia among different consumer groups in the domestic market of Bangladesh. A survey on 300 consumers of different areas of Bangladesh was conducted to estimate the hedonic price models. The results show that fish size is a main attribute for the purchase decision of all consumer groups. For all consumer groups, consumers pay 14% more for the bigger size (more than 1 kg) of tilapia. In addition, they pay 7% and 6% more if the fish is tasty and the eyes are transparent while they pay 7% and 3% less for its soft abdomen and presence of bones respectively. The implication of these findings is that private companies in the value chain have an incentive to supply tilapia of improved quality and earn more when the hedonic price of the quality attributes exceeds the costs. Under such circumstances, private companies have an incentive to deliver higher quality tilapia that potentially can also improve the nutritious situation of poor consumers in Bangladesh.
FLOT : Location Privacy preservation in Internet of Things

Internet of Things includes sensor enabled devices that are capable of doing a wide variety of tasks. As these devices capture huge amounts of information including the location of the user, these generate privacy concerns. In this paper, Fuzzy Logic Based Location Obfuscation Technique (FLOT), fuzzy logic based Location privacy preservation technique has been proposed. The technique was compared to other existing technique and the results indicate that the original location of the user is obfuscated to a great extent in the proposed technique.
Isolation of endophytic bacteria and its effect on growth parameters of chilli (Capsicum annum)

The present investigation was carried out in the glass house of Department of Agricultural Microbiology, University of Agricultural Sciences, Raichur during 2019 to study the effect of endophytic isolates on growth parameters of chilli. The treatment was laid out in Completely Randomized Design (CRD) with eighteen treatments and three replications. Results indicated that the consortium of endophytic bacteria (ESK-26 + ESR-6) had performed well in pot trial and significantly enhanced growth parameter as compare to control. Significantly highest plant height, number of leaves per plant, number of branches per plant, root length, shoot dry weight, root dry weight and total dry weight were recorded by the treatment T8 (ESK-26 + ESR-6) at 30, 60 and 90 DAS.
How IT-Enabled Dynamic Capabilities Add Value to the Development of Innovation Capabilities

The development of innovation capabilities is crucial for modern organizations. This research builds on the dynamic capability view and aims to understand how a specific quality of the IT infrastructure, that is, IT flexibility, through the development of IT-enabled dynamic capabilities (ITDCs), leads to innovation gains. The authors empirically validate their main research questions and associated research model using multiple regression analyses on a sample of 138 Dutch firms. They gathered this data through respondent-driven sampling. This study uncovers that IT flexibility is a key attribute in the development of ITDCs. Also, their empirical results support that claim that the development of ITDCs fosters organizations' capability to innovate. These outcomes substantiate our claim that IT is an essential facilitator for innovation capabilities. They also uncovered that the effect of IT flexibility, through ITDCs on innovation capabilities is independent of the complexity of the market. As such, this work contributes to the current practical and theoretical knowledge base of both IT and business.
Contribution of Large and Very Large Scale Motions to the Turbulent Kinetic energy in Turbulent Pipe Flow

In the present investigation in turbulent pipe flow we study the contribution of turbulent structures, such as Large scale motion (LSM) and very large scale motion (VLSM) to the turbulent kinetic energy. Hence, the streamwise velocity fluctuation is measured using a single hot wire anemometer in the Cottbus Large Pipe Facility test facility (CoLaPipe) at Brandenburg University of Technology Cottbus‐Senftenberg (BTU) for Reynolds numbers Reτ = 1.3 × 104 and 1.9 × 104, where Reτ is the Reynolds number based on the friction velocity (Uτ) and the pipe diameter (D). By the use of pre‐multiplied power spectra of the streamwise velocity, we aim to understand the influence of the LSM and VLSM onto the turbulent momentum budget at different wall normal locations.
The effect of oxygen on the microwave-assisted synthesis of carbon quantum dots from polyethylene glycol

Fluorescent carbon quantum dots (CQDs) were synthesized using polyethylene glycol (PEG) as both the carbon source and solvent in various atmospheres including air, nitrogen, carbon dioxide and oxygen by following a microwave irradiation method. The CQDs were characterized by performing ultraviolet-visible absorption spectroscopy, Fourier transform infrared spectroscopy, transmission electron microscopy, and fluorescence spectroscopy. We found that different reaction atmospheres yielded significantly different reaction rates and properties of the CQDs. In particular, including oxygen in the synthesis of the CQDs clearly shortened the reaction time, significantly enhanced the photoluminescence (PL) intensity and quantum yield (PLQY) of the CQDs, and extended their average lifetime. The PLQY and fluorescence lifetime of the CQDs were improved from 5.78% and 2.4 ns, respectively, when synthesized in a medium open to air to 7.84% and 3.0 ns, respectively, when synthesized in an O2 atmosphere. The CQDs synthesized using microwave irradiation showed strong blue fluorescence under ultraviolet light.
Toward Model-Based Control of the Vertical Gradient Freeze Crystal Growth Process

In this contribution, tracking control designs using output feedback are presented for a two-phase Stefan problem (SP) arising in the modeling of the vertical gradient freeze process. The two-phase SP, consisting of two coupled free boundary problems, is a vital part of many crystal growth processes due to the temporally varying spatial extent of the solid and liquid domains during growth. After discussing the special needs of the process, collocated and flatness-based state feedback designs are carried out. The quality of the provided approximations and the performance and robustness against parameter uncertainties of the open- and closed-loop control setups are analyzed in several simulations.
Preparation of (CaY)F
 2
 :Tm
 3+
 ,Yb
 3+
 deposited porous TiO
 2
 matrix with highly near‐infrared light photocatalytic activity

With the global population growth and the acceleration of industrialization, traditional fossil energy shortage and environmental pollution are becoming severe [1–3]. Development of new green energy along with the environmental pollution control has been acknowledged as the top issues to be urgently solved [4–7]. So far, a large number of studies have shown that photocatalytic materials can reduce water to hydrogen [8, 9], CO2 to organic solar fuel [10], degrade pollutants [11], sterilize, disinfect and so on [12, 13], making such materials the research hotspots in the fields of, energy, environment, and chemistry [14, 15]. Nano titanium oxide (TiO2) has emerged as one of the mostly researched photocatalytic materials highlighted with its low synthesis cost and impressive photo-oxidation capability [16]. However, the shortcomings of nano-TiO2 photocatalysts are its low utilization of visible or even infrared light and ease of agglomeration to cause nano-toxicity, which consequently limit its applications in water/air pollution treatment and biomedical applications. For the former issue, strategy using up-converting rare-earth (RE) luminescent agents to convert near-infrared light into UV light for nano-TiO2 utilization was attempted [17, 18]. For the latter issue, porous matrix coated or composed of nano-TiO2 has been reported in both pollution control [19] and biomedicine [20]. For the aspect of upconversion luminescent materials design, fluorides are efficient hosts of RE ions due to their appropriate energy phonons to produce strong up-converting fluorescence [21]. In particularly, calcium fluoride (CaF2) has been recommended as an efficient up-converting phosphor host, along with its biosafety and biocompatibility [22, 23]. In our previous work, a Tm3+/Yb3+ co-doped (CaY)F2 nanocrystals have been hydrothermally prepared, in which the incorporation of Y to matrix of CaF2 was explored to enhance the up-converting fluorescence intensity [24]. This material could be stably excited by a 980 nm pump light to generate 360 nm UV light, with intensity controlled by Tm3+ and Yb3+ content. In order to take the advantages of porous TiO2 matrix and (CaY)F2:Tm 3+,Yb3+ upconversion luminescent agent, a (CaY)F2:Tm 3+,Yb3+ deposited porous TiO2 matrix with highly near-infrared light photocatalytic activity was prepared in cur-
CNDO-Berechnung des 13C-NMR-Abschirmtensors von Benzen bei Wechselwirkung mit Protonen

The C-NMR screening tensors for a free benzene molecule and a benzene molecule in interaction with an OH-group and a proton have been calculated by the CNDO/2 method. The comparison with the experimental value of the C-NMR chemical shift anisotropy for benzene adsorbed on silica gel shows the utility of this method for the interpretation of C-NMR spectra of adsorbed molecules. Also in the case of the protonation of benzene the calculated C-NMR chemical shift is in qualitative agreement with the experimental one. Changes of the electronic structure of molecules are reflected in greater differences of the anisotropy of C-NMR screening than in differences of 1 C-NMR chemical shift.
The effect of demographic factors on behavioral biases

The purpose of this study was to examine the influence of demographic factors such as gender, age, education, occupation, income, and investment experience on investor behavior bias such as overconfidence bias, disposition effects, herding bias, and mental accounting. This type of research was causal research with a quantitative approach, and the analytical method used was the analysis of SEM (structural equation modeling). This research was conducted by distributing questionnaires to investors listed on the Indonesia Stock Exchange with a minimum age of 17 years. The results showed that overconfidence bias was influenced by investment experience while disposition effect was influenced by age, income level, and investment experience. Herding bias was influenced by age and occupation while mental accounting was influenced by income level.
MET Exon 14 Skipping Alterations in Non-small Cell Lung Carcinoma—Current Understanding and Therapeutic Advances

Abnormal activation of mesenchymal epithelial transition (MET) receptor tyrosine kinase is associated with oncogenesis. Various underlying mechanisms, including alteration, amplification, gene rearrangement, and exon skipping in the transcript account for abnormal MET signaling. One of the critical alterations in MET leading to non-small cell lung carcinoma (NSCLC) is MET exon 14 (METex14) skipping, a driver mutation, which accounts for approximately 3–4% of lung adenocarcinoma. METex14 skipping results in the formation of a functionally active and stable truncated receptor lacking the juxtamembrane regulatory domain responsible for MET ubiquitination. Several MET kinase inhibitors have been developed targeting MET receptors, and many are in clinical trials. The US Food and Drug Administration has recently approved capmatinib (Tabrecta; Novartis, Basel, Switzerland) for the treatment of NSCLC with METex14 skipping alteration. We review the current understanding of the implications of aberrant MET activation in NSCLC harboring METex14 skipping alteration, available diagnostic options, potential therapies in the pipeline, and the future clinical landscape for such alterations.
Firm Size and Financial Performance Among Listed Banks of Emerging Economies in Africa

The continuous increase in the size of various firms and listed banks, has necessitated the need to empirically examine the effect firm size has on the financial performance of listed banks in Africa. This is because some organisations and institutions have in time past failed to fulfill their going concern objective despite their large firm size balance. This study examined the effect firm size has on the three levels of cash flow of emerging economies in listed banks in Africa. The study employed the use of multiple regression analysis with the aid of the STATA statistical software tool. The result obtained revealed that for the operating level of cash flow, all countries used in this paper, with the exception of Kenya should continue to employ the independent variable as a corporate strategy method as it increases operating cash inflow. The financing level of cash flow results recommended that all countries except Nigeria should continue to utilize firm size as a significant value was obtained from the regression. The investing level of cash flow results produced a significant P-value for all countries with the exception of Botswana. The study, therefore, recommended that listed banks in Kenya, Nigeria and Botswana should apply caution in employing the firm-size corporate strategy method. This is because it doesn’t guarantee cash inflow in all three levels of cash flows.