Customer retention and finding a way to preserve the customers are the most important issues of any organization. The main purpose of the present study in machine learning is to focus on correctly identifying customer needs with a method based on extracting opinion and sentiment analysis and quantifying customers’ sentiment orientation. In other words, the main issue is designing a recommender system to provide appropriate services according to customer satisfaction, sentiment, and experiences. The proposed method is based on customers’ opinions and experiences, which are obtained by evaluating tweets containing hashtags with the titles and headings of banking services as a statistical population. So, after reconsideration, correlation scores in terms of people’s sentiment score due to the tweets, cosine similarity, and reliability, consideration of relevant characteristic groups as well as recorded ideas in the training and testing process will be provided in the form of submitting a personalized offer to receive banking services. In order to represent a recommending solution, suitable classification methods are used along with the opinion mining methods and proper validation approach as well, and the terminal designed system with a little error will take steps to provide personalized services as well as help the banking system. As there is no thorough provision of banking services tailored to the customers’ situation, therefore, the mentioned system will be extremely beneficial.
Batch adsorption experiments were carried out to eliminating Congo red (CR) and methylene blue (MB) from aqueous solution using oxalic acid-modified jujube shells of Ziziphus lotus (OA-JS)/ZnFe2O4(OA-JS@ZnFe2O4) nanocomposite as a high efficient adsorbent. The Fourier transform infrared (FTIR), Brunauer Emmett Teller, thermogravimetric analysis–differential scanning calorimetry, scanning electron microscope, transition electron microscope, and X-ray diffraction techniques were used to characterize the OA-JS@ZnFe2O4. The equilibrium data fitted to Langmuir isotherm and the maximum adsorption capacities were determined as 980.39 mg g⁻¹ and 476.18 mg g⁻¹ for CR and MB, respectively. The pseudo-second-order model could be best described the sorption kinetics. The calculated thermodynamic suggests that the CR and MB adsorption on OA-JS@ZnFe2O4 is spontaneous and endothermic. The OA-JS@ZnFe2O4 recycled, and the removal CR and MB were 82.08% and 76.59% after seven cycles, respectively. The synthesis of OA-JS@ZnFe2O4 nanocomposite showed excellent potential adsorbent for dye removal from wastewaters. Graphical abstract
Tragopogon is an Old World genus with 150 species. Mediterranean, Middle East, and Eastern Europe are the distribution centers of this genus. This genus has 26 species in Iran, of which 11 are endemic. The morphology studies of 32 species and Molecular studies (ISSR, ITS, cp DNA) of 22 species of the genus Tragopogon were investigated. Despite the anatomical and molecular studies done around the world, the exact classification of this genus is not clear due to the high number of secret species, hybridization, polyploidy, and rapid diversification. The purpose of these studies is to classify, determine interspecific relationship in this genus, and determine the important morphological characteristics in taxon differentiation. We conclude that sections of Rubriflori, Sosnowskya, Chromopappus, Majores, Angustissimi, and Krascheninnikovia introduced by the flora of Iranica are confirmed by our morphometry and molecular studies. Section of Profundisulcati in flora Iranica is confirmed based on morphometry data. The Species of T. jesdianus, T. porphyrocephalus, T. rezaiyensis, and T. Stroterocarpus in the flora of Iranica are not classified in any section which we classified in the Rubriflori section. Cp DNA dendrogram is not useful for classification in this genus and Chloroplast sequences are very similar among Tragopogon species. Therefore, the use of cp DNA markers in the classification of this genus is not recommended. The use of ISSR and ITS molecular markers are useful for classifying the genus Tragopogon.
Understanding the acoustic behavior of buried tunnels is valuable for locating them and monitoring their structure health. This research focuses on the acoustic behavior of buried tunnels in multilayer soil structures. The reflected and transmitted acoustic wave pressure variations are investigated exclusively for a multilayer soil buried tunnel. The tunnel system's 3D finite element model is presented, which contains the tunnel lining, surrounding soil, and the air inside the tunnel and at the ground surface. A free air explosion is used as the acoustic wave source. The reflected and transmitted waves' pressure values are measured to evaluate the effects of mechanical characteristics of soil layers, tunnel buried depths, and lining concrete types on the acoustic wave behavior of the tunnel. In addition, a utility line is introduced to the system in different positions related to the main tunnel to investigate its effect on the main tunnel’s acoustic wave behavior. The results indicate that in a multilayer soil structure, the relative position of the soil layers and the tunnel (whether the main tunnel or the utility line) significantly impacts the acoustic pressure value, particularly the transmitted wave pressure. When changing the tunnel buried depth and the lining concrete type, multiple pressure peaks are observed in reflected acoustic wave pressure–time history exclusive to a tunnel surrounded by a multilayer soil structure. The findings can be used to precisely interpret the recorded signals for structural health monitoring and locating underground structures, especially in a media with multilayer soil structures.
Autism spectrum disorder (ASD) is a prevalent neurodevelopmental disorder with the main symptoms of social communication disabilities. ASD is more than four times more common among males than females. The diagnosis of ASD is currently a subjective process by experts the same for males and females. Various studies have suggested the use of brain connectivity features for diagnosis of ASD. Also, sex-related biological factors have been shown to play a role in ASD etiology and influence the brain connectivity. Therefore, proposing an accurate computer aided diagnosis system (CADS) for ASD which consider the sex of subjects seems necessary. In this study, we present a sex-dependent connectivity-based CADS for ASD using resting-state functional magnetic resonance imaging (rs-fMRI). The proposed CADS classifies ASD males from normal males, and ASD females from normal females. After data preprocessing, group independent component analysis (GICA) was applied to obtain the resting-state networks (RSNs) followed by applying dual-regression to obtain the time course of each RSN for each subject. Afterwards, functional connectivity (FC) measures of full correlation and partial correlation and effective connectivity (EC) measure of bivariate granger causality were computed between time series of RSNs. To consider the role of sex differences in the classification process, male, female, and mixed groups were taken into account, and feature selection and classification were designed for each sex group separately. At the end, the classification accuracy was computed for each sex group. In the female group, the classification accuracy of 93.3% was obtained using full correlation while in the male group the classification accuracy of 86.7% was achieved using each of full correlation and bivariate granger causality. Also, in the mixed group, the classification accuracy of 83.3% was obtained using full correlation. This supports the importance of considering sex in diagnosing ASD patients from normal controls (NCs).
Herbal and chemical products are used for oral care and biofilm treatment and also have been reported to be controversial in the massive trials conducted in this regard. The present review is aimed at evaluating the potential of relevant herbal and chemical products and comparing their outcomes to conventional oral care products and summarizing the current state of evidence of the antibiofilm properties of different products by evaluating studies from the past eleven years. Chlorhexidine gluconate (CHX), essential oils (EOs), and acetylpyridinium chloride were, respectively, the most commonly studied agents in the included studies. As confirmed by all systematic reviews, CHX and EO significantly control the plaque formation and gingival indices. Fluoride is another interesting reagent in oral care products that has shown promising results of oral health improvement, but the evidence quality needs to be refined. The synergy between natural plants and chemical products should be targeted in the future to accede to the formation of new, efficient, and healthy anticaries strategies. Moreover, to discover their biofilm-interfering or biofilm-inhibiting activities, effective clinical trials are needed. In this review article, therapeutic applications of herbal/chemical materials in oral biofilm infections are discussed in recent years (2010-2022).
The multi-rotors have a limited operational period and generate too much noise, which is insufficient for complex tasks and adversely affects humans’ and animals’ health. Nevertheless, their market has become increasingly popular. Therefore, low-noise products are more competitive, and aerodynamic and acoustic improvements are critical. This investigation aims to design a small bioinspired propeller with the same power input as a conventional propeller to achieve the same or better aerodynamic performance while decreasing noise. Accordingly, an experiment investigated the impacts of operation conditions and varied geometric parameters on six small propellers' aeroacoustic performances with a unique planform shape inspired by five insects and one plant seed, such as Blattodea, Hemiptera, Hymenoptera, Neuroptera, Odonata, and maple seed. Each propeller was operated at eleven rotational speeds ranging from 3000 to 8000 RPM with no freestream velocity for simulating hover conditions. Compared to the baseline propeller, the results demonstrate that all bioinspired propellers produce more thrust for the same power supply, reduce harmonic and broadband noise, and provide a better noise level. Also, their rotational speed is lower and their figure of merit is higher than the baseline propeller at hover flight with 3N thrust. They all outperform the baseline propeller in terms of hover efficiency at all thrust values considered. Besides, the Neuroptera propeller is more efficient than other propellers, decreasing 5.5 W of power and reducing 7.9 dBA at hover flight with 3N thrust and 1.5 meters distance, compared to the baseline propeller.
Load demand has locally met the distributed energy resources (DERs) under an infrastructure that is called microgrid. In this paper, a new supervisory control approach is presented based on MPC method, using a stochastic optimization model. The objective function (OF) of the proposed central controller consists of the combined cost-based and system-based parts. Indeed, the setpoints of DERs are updated by the supervisory control method to regulate voltage and frequency to their nominal values as well as to decrease the generation costs. The stochastic optimization formulation is conducted based on MPC structure. Moreover, the uncertain nature of DERs is considered in the optimization formulation and MPC framework using several scenarios. In addition, the effect of reactive power on frequency is considered in this paper and the results show better voltage and frequency regulations. The algorithm is implemented on a modified IEEE 33-bus test system with AC and DC parts. Furthermore, several cases and the sensitivity analysis are accomplished to show the efficiency of the proposed model.
The most common Internet of Things (IoT) scenarios entail devices with limited energy resources and need to be connected to the Internet via wireless networks. This has driven the recent development of low‐power wide‐area networks (LPWANs) and the rise of the Long Range (LoRa) technology. The LoRa protocol has a simple modulation scheme that ensures low power consumption, high convergence, and resistance against interference. In most LPWAN technologies, several physical layer challenges arise, such as low data rates, spectral inefficiency, and increased interference. As a physical layer solution, the cognitive radio (CR) offers a possible way of resolving these challenges. CR allows wireless networks to operate without the need for a dedicated spectrum. Regarding the variety of end‐user requirements, developing a public communication network that can support such diverse and heterogeneous applications is necessary to reduce the implementation costs than developing a dedicated communication network for each application. This paper proposes a Cognitive LoRa (C‐LoRa) protocol that utilizes unlicensed and licensed frequencies as well as interference mitigation to improve the QoS of LoRa. To extract the priority list of traffic patterns, C‐LoRa incorporates the Analytic Hierarchy Process (AHP) algorithm. The priority list enables real‐time applications to receive optimal spectrum allocation. C‐LoRa can be efficiently implemented as a public communication infrastructure for heterogeneous IoT devices. The addition of licensed channels improves the overall QoS and decreases the average waiting time in queues. The platform layer of C‐LoRa consists of a cognitive engine that sends traffic priority lists to cognitive spectrum allocators. The IoT application servers are connected to the cloud platform layer via SNMP, HTTP, and other desired protocols. Access gateways equipped with a cognitive spectrum allocator are always connected to a power supply and serve as a transparent bridge to the cognitive engine at the platform layer, converting RF packets to IP packets and vice versa.
This report presents a case of canine mucocutaneous Bowen’s disease developing underneath a cutaneous horn in the anal region. A 7-month-old female German shepherd was diagnosed with two fused cutaneous horns in the anal region. Macroscopically, two conical, exophytic horn-like tissues were seen, fused, and sharing an irregular basal soft tissue, possessing parallel longitudinal grooves. Histopathologically, it was composed of a deep verrucous hyperkeratotic zone of squamous cell carcinoma in situ (Bowen’s disease) and an overlying cutaneous horn. Marked orthokeratosis, hypergranulosis, cellular basophilia and vacuolation, intranuclear inclusion bodies, moderate to severe pleomorphism, and mitotic activity were noted. While polymerase chain reaction failed to detect canine papillomavirus L1 gene, the presence of papillomavirus was confirmed by p16 immunostaining. Strong CK5/6, weak p53, and Ki-67 immunostaining, and negative expression of vimentin supported the diagnosis of Bowen’s disease, a non-invasive squamous lesion with low malignancy potential.
In this work, the rapid, facile, and eco‐friendly green process was introduced in the preparation of β‐cyclodextrin/magnetic iron oxide nanoparticles by using the aqueous Mentha longifolia extracts of Mentha longifolia. The obtained nanoparticles were characterised by Fourier transform infrared spectroscopy, x‐ray powder diffraction, field emission scanning electron microscope, and thermogravimetric analysis. Also, effective factors on the synthesis of magnetic nanocomposites including temperature, concentration of the Mentha longifolia extract, and concentration of FeSO4 solution were optimised by Taguchi design. Moreover, important effective parameters on the adsorption efficiency; such as adsorbent dosage, pH, contact time, and temperature were investigated. The prepared magnetic nanocomposite was applied as a nanocarrier for imatinib mesylate delivery. In vitro studies confirmed imatinib mesylate release over 6 h. The nanocarrier showed pH‐dependent imatinib mesylate release with higher drug release at simulated cancer fluid (pH = 5.6) compared to neural fluid (pH = 7.4). Moreover, the sorption isotherms and kinetics for the magnetic nanocomposite were fitted into Langmuir and pseudo‐second order models, respectively. Based on the thermodynamic results, the adsorption of imatinib mesylate onto the nanoadsorbent was found to be spontaneous and exothermic.
In this work, the behavior of favipiravir (FAV) adsorption on the pristine (2,2) graphyne-based γ-nanotube (GYNT) was theoretically studied. Also, the Si-doped form (Si-GYNT) and its composite with encapsulated Fe2O3 (Fe2O3@Si-GYNT) were investigated within density functional theory (DFT) calculations, using M05 functionals and B3LYP. It was found that FAV is weakly to moderately adsorb on the bare GYNT and Si-GYNT tube, releasing the energy of 2.2 to 19.8 kcal/mol. After FAV adsorption, the bare tube's electronic properties are changed. Localized impurity is induced at the valence and conduction levels by encapsulating a tiny Fe2O3 cluster. As such, the target composite becomes a magnetic material. The binding energy between the Fe2O3@Si-GYNT and the FAV molecule becomes substantially stronger (Ead = -25.2 kcal/mol). We developed a drug release system in target parts of body, during protonation in the low pH of injured cells, detaching the FAV from the tube surface. The drug's reaction mechanism with Fe2O3@Si-GYNT shifts from covalence in the normal environment to hydrogen bonding in an acidic matrix. The optimized structure's natural bond orbital, quantum molecular descriptors, LUMO, HOMO and energy gap were also investigated. The recovery time can be reduced to less than 10 s by increasing the working temperature properly during the experimental test.
Facility layout problems are defined as the placement of facilities in a plant region. In this paper a facility layout problem was clarified by the facility dimensions and the materials flow between facilities are uncertain as fuzzy random variables and the plant region was equipped with the wall mounted jib cranes and the small gate cranes and there were some forbidden areas in the plant region where the placement of facilities were forbidden. The objective functions of the problems have been contemplated as minimizing materials‘ handling cost of the operators and the cranes and for the first time maximizing cranes usability of wall mounted jib cranes and small gate cranes by calculating their covered area on the facilities. To solve the problem a multi-objective population-based on simulated annealing algorithm (MPS) and a Modified Non-dominated Sorting Genetic Algorithm II (MNSGA-II) was proposed then six case studies were solved by them. The results reveal that run time of the MNSGA-II for large size problems are better than the MPS algorithm and the MPS algorithm finds better solutions with materials‘ handling cost of the operators and the cranes and the MNSGA-II finds better solutions with cranes usability.
Methods: This review was focused on studying the various secondary metabolites in model plants of Iranian herbal medicine known as treatment of kidney diseases in traditional Persian medicine textbooks including Makhzan-ol-Advieh, The Canon of Medicine, and Taghvim al-Abdan fi Tadbir al-Ensan. Results: Secondary metabolites of 94 medical plants belonging to 42 families were reported with their scientific and family name. Conclusion: Although herbal medicines are gaining rapid popularity among people and the pharmaceutical industry, the understandings of the phytochemical and therapeutic properties of medicinal plant are important for developing effective nephroprotective medicines. Therefore, the relationship between traditional uses and biological properties should be clearly verified through further studies.
Background Rabies is a neurotropic virus that causes about 59000 deaths worldwide annually. The most effective means to control and prevent rabies is prevention through proper pre- and post-exposure vaccination. Glycoprotein (G) is one of five structural proteins of the rabies virus and has a pivotal role in host immunity against the virus. This research has evaluated the results of incorporating an additional copy of the glycoprotein gene in the rabies virus genome on the immunogenicity and propagation rate of the recombinant virus. Methods . A PCR amplified copy of the G gene was previously inserted into the genome of the rabies virus PV strain. The recombinant virus glycoprotein expression was compared with the PV strain. The propagation rate of the recombinant virus in cell culture and its immunogenicity in BALB/c mice were assessed. The rapid fluorescent focus inhibition test (RFFIT) was used to analyze the virus-neutralizing antibodies (VNAs) in the mice sera. Results The addition of an extra G gene between the G and L genes was verified in the rescued recombinant virus. The virus strain carrying two G (dG) showed significantly higher virus titers and glycoprotein expression levels in cell culture and also induced higher titers of VNAs when applied in mice as an experimental vaccine. Conclusion Our results suggest that duplication of the G gene in the PV virus genome between G, and L genes leads to increased G expression level, higher virus propagation rates and improved VNA induction. The recombinant dG strain might be characterized for application in rabies vaccine production, and it can also be used to study different cellular pathways related to the rabies virus cycle.
Background Unhealthy dietary patterns are the most important modifiable risk factors for obesity and overweight. This study aimed to examine the relationship between Dietary Phytochemical Index (DPI) and resting metabolic rate (RMR), mediated by inflammatory factors, in overweight and obese women. Methods A total of 404 women, aged 18–48 years, were included in the cross-sectional study. DPI was calculated using the 147-item food frequency questionnaire (FFQ). Anthropometric measurements, RMR, and blood biomarkers were assessed using standard protocols. Results There was marginally significant association between adherence to DPI and RMR status in the crude model (OR = 1.41, 95% CI 0.94–2.11, P = 0.09). After adjusting for potential confounders, a significant association was seen between the DPI and increase RMR.per.kg (OR = 2.77, 95% CI 0.98–7.82, P = 0.05). Our results indicated that plasminogen activator inhibitor-1 (PAI-1), transforming growth factor (TGF-β), and monocyte chemoattractant protein-1 (MCP-1) had a mediatory effect on the association between RMR and DPI (P > 0.05). Indeed, it was shown that, PAI-1, TGF-β, and MCP-1 destroyed the significance of this association and could be considered as mediating markers. However, no mediating effect was observed for high-sensitivity C reactive protein (hs-CRP). Conclusions Adherence to DPI can improve the RMR by reducing levels of inflammatory markers, and may be considered as a treatment for obesity. However, more long-term studies are recommended.
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