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Data Envelopment Analysis (DEA) is an approach based on mathematical programming for the relative evaluation of decision-making units treated as similar yet distinct production systems. In this approach, the performance of each unit is characterized by describing the transformation of specific inputs into specific outputs. Traditional DEA models assume that the role of each performance factor is clearly defined. However, in some real-world problems, certain factors might be identified as dual-role factors depending on the evaluation nature or the decision-makers' perspective. These factors can play the role of both input and output, or even be considered neutral in assessing the units' performance. In the current paper, to determine the status of dual-role factors and calculate the efficiency of DMUs, two new linear programming models, based on the concept of deviation in the efficiency constraint and a common set of weights, are suggested. The main advantages of the proposed models are significantly reducing the computations and iterations required to solve the model, and involving all DMUs to determine the role of factors. To assess the performance of the proposed models, a data set for the evaluation of eighteen suppliers in the presence of two inputs, three outputs, and two dual-role factors has been employed. The obtained results showed that, compared to other models, the proposed models are computationally more efficient, and the role determination and evaluation of the units, based on the obtained weights from these models, are better aligned with the expectations of decision-makers

Objective: Radio Frequency Time Series (RF TS) is a cutting-edge ultrasound approach in tissue typing. The RF TS does not provide dynamic insights into the propagation medium; when the tissue and probe are fixed. We previously proposed the innovative RFTSDP method in which the RF data are recorded while stimulating the tissue. Applying stimulation can unveil the mechanical characteristics of the tissue in RF echo. Materials and methods: In this study, an apparatus was developed to induce vibrations at different frequencies to the medium. Data were collected from four PVA phantoms simulating the nonlinear behaviors of healthy, fibroadenoma, cyst, and cancerous breast tissues. Raw focused, raw, and beamformed ultrafast data were collected under conditions of no stimulation, constant force, and various vibrational stimulations using the Supersonic Imagine Aixplorer clinical/research ultrasound imaging system. Time domain (TD), spectral, and nonlinear features were extracted from each RF TS. Support Vector Machine (SVM), Random Forest, and Decision Tree algorithms were employed for classification. Results: The optimal outcome was achieved using the SVM classifier considering 19 features extracted from beamformed ultrafast data recorded while applying vibration at the frequency of 65 Hz. The classification accuracy, specificity, and precision were 98.44 ± 0.20 %, 99.49± 0.01 %, and 98.53± 0.04 %, respectively. Applying RFTSDP, a notable 24.45 % improvement in accuracy was observed compared to the case of fixed probe assessing the recorded raw focused data. Conclusions: External vibration at an appropriate frequency, as applied in RFTSDP, incorporates beneficial information about the medium and its dynamic characteristics into the RF TS, which can improve tissue characterization.

Abstract The aim of this research is to present a model for the development of the tourism industry with an emphasis on the role of media management using a mixed approach. A mixed (qualitative-quantitative) approach has been used in this research. The statistical sample in the qualitative part included 15 professors and specialists and experts in communication, media and tourism: and in the quantitative part of the research, it included 200 managers and senior tourism experts in Mazandaran. In the first step of the research, the coding of the specialized research interviews was done using the qualitative analysis of the theme with MAXQDA v10.R150410 software. In the next step, the results of confirmatory factor analysis with Smart PLS software are presented. Then, the existing categories were leveled with the structural-interpretive method with MicMac software and the initial research model was designed. Based on the results obtained in this research, advertising, service quality, policy making, participation of local people, tourism culture, proper use of the environment, income generation in tourism destination and infrastructure facilities were identified as the main components that have an impact on the tourism industry. The results of the quantitative part of the research showed that the proposed model has a good fit and credibility for the impact of mass media on the development of the tourism industry. Extended Abstract Introduction Undoubtedly, tourism is one of the most prosperous service industries worldwide. Tourism is vital to the economic success of many countries around the world. Over the past two decades, some countries have been able to achieve very high incomes despite the shortage of natural resources by investing in the tourism industry (Qiu et al., 2020). There are numerous benefits of tourism in host destinations. Tourism increases economic income, creates thousands of jobs, develops a country's infrastructure, and creates a sense of cultural exchange between foreigners and citizens. The number of jobs created by tourism in many different regions is significant. These jobs are not only part of the tourism industry, but may also include the agricultural, communication, health, and educational sectors. Many tourists travel to experience the culture, different traditions, and cuisine of the host destination. This is very profitable for local restaurants, shopping centers, and shops. For instance, in Melbourne, Australia, with a population of about 4 million, approximately 22,000 citizens are employed only in the tourism sector (Fjelldal et al., 2022). With the recognition of the economic importance of tourism, many governments and tourism companies have started extensive advertising campaigns to brand their destinations and attract tourists. As a result, there is now intense competition among tourism organizations (as well as different governments) to introduce domestic tourism destinations and attract as many tourists as possible. Therefore, marketing has essentially become a key component for success in the tourism industry (Yung et al., 2021). Considering these marketing efforts, marketing is essentially a type of messaging to customers (both potential and existing). The important role of the media in introducing tourism destinations and creating a destination brand can be understood (Alsalami & Al-Zaman, 2021). Although the use of media, including radio and television advertising, billboards, and more, has a very long history in the tourism industry, the advent of technology-based media has caused a great transformation in tourism advertising. Information is a vital lifeline for the tourism industry; therefore, effective use of information technology and modern mass media is crucial for competitive advantage and success. As a result, many companies involved in the tourism industry have chosen to use modern media as their most important marketing and customer interaction tool (van Nuenen & Scarles, 2021). Therefore, there is a need for research that focuses on providing a native approach to developing a model for the tourism industry with an emphasis on the role of media management. The main issue of this study is the neglect of the capacity of media as a key tool for successful tourism marketing within the country. In this study, a model for the development of the tourism industry with an emphasis on the role of media management using a mixed approach is presented. This research seeks to find an answer to the question of what components make up a model for developing the tourism industry based on media management. Theoretical framework Tourism is the act and process of spending time away from home in pursuit of leisure, relaxation, and enjoyment while also utilizing commercial services. Thus, tourism is a product of modern social arrangements that began in Western Europe in the 17th century, although it has roots in classical antiquity. Tourism differs from exploration in that tourists follow a "well-established path," utilize established supply systems, and, as befits pleasure-seekers, are generally immune to difficulty, danger, and embarrassment (Rasulov, Madjitova & Islomova, 2022). However, tourism overlaps with other activities, interests, and processes, such as pilgrimage, for example. This has led to the creation of common categories such as "business tourism," "sports tourism," and "medical tourism" (international travel for the purpose of receiving medical care) (Palacios-Florencio, Santos-Roldán, Berbel-Pineda & Castillo-Canalejo, 2021). In the past few decades, the trend of tourism has grown significantly worldwide, as the concept of travel has changed in people's lives. In the past, traveling was often a cumbersome and sometimes frustrating experience that required constant planning. However, today, thanks to technology and changes in lifestyle, this concept has become an incredibly enjoyable and effortless experience. People travel for business, holidays, leisure, adventure, or even medical treatments. These issues have led to the emergence of a booming tourism industry, with successful countries earning substantial incomes from this sector (Zhu, Airey & Siriphon, 2021). Tourism marketing is a term used to refer to the commercial field that attracts visitors to a particular location, which can be a state, a city, a specific heritage site or tourist destination, a hotel, or a convention center. The location can be anything that has the potential to attract tourism, as people visit a new place for tourism purposes. Tourism marketing is often associated with marketing strategies in the tourism industry. Nowadays, many countries in the world have a significant role for tourism in increasing their gross domestic product (GDP), making tourism marketing an essential factor. Many places are often tourist hotspots, such as the Taj Mahal in India, and are now the best areas to strengthen tourism marketing. Places that are likely to be the main attraction for tourists are the places where tourism marketing has the most significant impact. Currently, tourism marketing is all about using multiple marketing techniques and strategies to enhance the tourism industry of a particular place (Liu, et.al, 2022). Research methodology The present study is aimed at the field of developmental research, and in terms of approach, it falls under exploratory studies. Based on the type of data, this research is categorized as a mixed-methods study (qualitative-quantitative). In the qualitative stage, the sample included 15 professors, experts, and specialists in communication, media, and tourism at universities in Mazandaran. The sample size is determined based on theoretical saturation. Given the research topic and objectives, a semi-structured interview method was used to collect data. In the quantitative stage, the statistical population included managers and senior experts in tourism throughout Mazandaran province (N=412), from which a sample of 200 people was selected. To determine the validity and reliability of the interviews, the retest and inter-coder agreement methods were used. In this research, the content analysis method was used to analyze qualitative data. In the next stage, the results of confirmatory factor analysis are presented. Then, the existing issues are classified using the structural-interpretive method, and the initial model of the research is designed. Finally, the partial least squares method is used for model validation. Qualitative analysis was performed using MAXQDA software, structural-interpretive analysis using MicMac software, and partial least squares method using Smart PLS software. Research findings Given that the retest reliability rate is 85%, which is higher than 60%, the coding reliability is acceptable. Additionally, considering that the intercoder reliability rate is 79%, which is also higher than 60%, the coding reliability is acceptable. Based on the results of the qualitative data analysis; advertising, service quality, policy-making, local community participation, tourism culture, appropriate environmental management, tourism income generation, and infrastructural facilities were identified as the main components that impact the tourism industry. The results of the quantitative section showed that the proposed model has a good fit and validity for the impact of mass media on the development of the tourism industry. Conclusion Numerous research studies have been conducted on the components and indicators of media management in the tourism industry, with an emphasis on media management perspectives. However, there are still various concepts and different measures for these perspectives that need to be investigated and standardized to achieve a comprehensive view. Generally, the most important components include advertising, service quality, policy-making, participation of local people, tourism culture, proper environmental management, income generation at the tourist destination, and infrastructure facilities. In conclusion, media has a significant role in creating a platform for the expansion or recession of activities related to this sector, given its capabilities. By careful and controlled planning, media can shape the thoughts and behaviors of a community and expand their desired perspectives. Today, through modern forms and audience-friendly media, they are the largest and most effective tool for producing concepts, social relations, and cultural messages in societies. Radio, television, newspapers, the internet, and modern media are indirect communication tools that have the power to influence, apply taste, and shape mentality. Media and its quantitative and qualitative advances are leading recent movements in all dimensions of life and development of communication. Visualization, needs assessment, persuasion, awareness, effective communication, and the use of new technologies in the field of media have placed many countries among the top tourist destinations in the world. With the development of communication technologies and the formulation of work and safety laws, tourism has reached such a position in the current global conditions that one cannot ignore its countless benefits.

Glioblastoma multiforme (GBM) is the most invasive form of primary brain astrocytoma. Gene therapy using the herpes simplex virus thymidine kinase/ganciclovir (HSV-TK/GCV) is a new strategy for GBM treatment. As the connexin 43 (Cx43) levels are downregulated in GBM cells, it seems that the upregulation of Cx43 could improve the efficacy of the gene therapy. This study aims to evaluate the effect of clenbuterol hydrochloride (Cln) as a β2-adrenergic receptor agonist on HSV-TK/GCV gene therapy efficacy in human GBM cells using olfactory ensheathing cells (OECs) as vectors. The lentivirus containing the thymidine kinase gene was transduced to OECs and the effective dose of GCV on cells was measured by MTT assay. We found that Cln upregulated Cx43 expression in human GBM cells and OECs and promoted the cytotoxic effect of GCV on the co-culture cells. Western blot results showed that Cln increased the cleaved caspase-3 expression and the Bax/Bcl2 ratio in the co-culture of GBM cells and OEC-TK. Also, the flow cytometry results revealed that Cln increased apoptosis in the co-culture of GBM cells and OEC-TK cells. This study showed that Cln via upregulation of Cx43 expression could enhance the bystander effect of HSVTK-GCV gene therapy in human GBM cells.

Many visual attention models have been presented to obtain the saliency of a scene, i.e., the visually significant parts of a scene. However, some mechanisms are still not taken into account in these models, and the models do not fit the human data accurately. These mechanisms include which visual features are informative enough to be incorporated into the model, how the conspicuity of different features and scales of an image may integrate to obtain the saliency map of the image, and how the structure of an image affects the strategy of our attention system. We integrate such mechanisms in the presented model more efficiently compared to previous models. First, besides low-level features commonly employed in state-of-the-art models, we also apply medium-level features as the combination of orientations and colors based on the visual system behavior. Second, we use a variable number of center-surround difference maps instead of the fixed number used in the other models, suggesting that human visual attention operates differently for diverse images with different structures. Third, we integrate the information of different scales and different features based on their weighted sum, defining the weights according to each component's contribution, and presenting both the local and global saliency of the image. To test the model's performance in fitting human data, we compared it to other models using the CAT2000 dataset and the Area Under Curve (AUC) metric. Our results show that the model has high performance compared to the other models (AUC = 0.79 and sAUC = 0.58) and suggest that the proposed mechanisms can be applied to the existing models to improve them.

In this study, putative interactions between all of the retinoic acid (RA) ligands (all-trans (At), 9-cis (9c), and 13-cis (13c)), and VEGF receptors (VEGFR-1, -2 and -3) were investigated. It was performed considering the glycosylation status of the receptors to achieve a more reliable mode of interactions based on glycomics. We found that RAs may have a higher affinity for ligand-binding domains in VEGFRs. Furthermore, all RA isomers can strongly attach to VEGFR-3 receptor in comparison to other ones. It was also demonstrated that receptor dimerization of RAs may be less targeted. Moreover, regarding post-translational modifications, glycosylated structures showed conflicting binding energies. RAs may target the human vasculature, specifically lymph vessels, through VEGFR-3. In addition, the ligand binding-mediated activation of VEGFRs may be affected by these agents. Also, the glycosylation status of the receptors can interfere with these manners. Furthermore, our results confirmed that the consideration of carbohydrates in crystal structures is essential for a better interpretation of ligand/receptor interactions during drug discovery studies. Even though these observations improved our understanding of the binding patterns of RAs to VEGFRs, validation of these results needs further analysis to introduce these biomolecules as anti-VEGF remedies.

Nowadays, risk management is a good way to deal with the risks that may occur in a project. In risk response analysis, risks are often assumed to be interdependent. In fact, the risks affect one project in the opposite direction. Implementing and managing various projects, including construction projects, has a lot of ambiguous cases. Such cases, called uncertainty, change the outcome sometimes better, and sometimes worse than anticipated. Complexity, challenge and uncertainty are more common in building projects with different interactions between the pillars inside and outside it. Therefore, in order to realize the quantitative and qualitative goals of these projects, it is necessary to use a framework for identifying risks, monitoring and controlling them in relation to the activities and complexity of their communications .In this article, first we consider a construction project and then, with experts' opinions and a brain storm meeting, we identified the risks involved, then, according to experts, we determined the strategy for each risk. Finally, we have used an optimal model for choosing risk response strategies with respect to the risks’ interdependence. The main finding through the analysis of the project is that the low attention or neglect of the interdependence of risk reduces the expected utility and increases the implementation.

The accurate prediction of reference points on the axial stress–axial strain relationship of fiber-reinforced polymer (FRP)-confined concrete is vital to pre-design structures made with this system. This study uses an artificial neural network (ANN) for predicting hoop rupture strain (εh,rup) and transition zone, namely transition strain (εc1) and stress (f’c1), on axial stress–strain curves of FRP-confined concrete. These are key parameters for estimating a transition zone of stress–strain curves. In this study, accompanied with these parameters, ultimate condition parameters, including compressive strength and ultimate axial strain, were predicted using a comprehensive database. Various combinations of input data and ANN parameters were used to increase the accuracy of the predictions. A sensitivity analysis and a model validation assessment were performed to evaluate the predictability of the developed models. At the end, a comparison between the proposed models in this study and existing ANN and design-oriented models was presented. It is shown that the accuracy of the developed ANN models in this study is higher or comparable to that of existing ANN models. Additionally, the developed models in this study to predict f’c1 and εc1 exhibit a higher accuracy compared to existing design-oriented models. These results indicate that the proposed ANN models capture the lateral confinement effect on ultimate and transition zones of FRP-confined concrete with a more robust performance compared to existing models.

Background: Spontaneous pneumothorax is a potentially fatal condition with a high risk of recurrence. The purpose of this study is to compare two different approaches to SP management. In the first group, patients underwent only chemical pleurodesis; in the second group, CT-scan, VATS, and then chemical pleurodesis was performed. Materials and Methods: This study is a non-randomized clinical trial conducted on 65 patients admitted to Al-Zahra Hospital in Isfahan with a primary complaint of sudden dyspnea and a definitive diagnosis of spontaneous pneumothorax. Two studies compared the main outcomes of recurrence within six months and the time until recurrence. Results: Age, sex, and BMI were matched between the two study groups. The side of the pneumothorax, smoking history, and pulmonary disease history did not differ significantly (P > 0.05). Pneumothorax recurrence did not differ significantly between the two groups (P: 0.477). Conclusion: This study demonstrated no distinction between VATS and chemical pleurodesis when using only chemical pleurodesis. However, because numerous studies have suggested that one of these techniques may be beneficial for patients with SP, it is recommended to conduct additional randomized controlled trials (RCTs) with a more detailed plan and more comparable procedures, although it appears that meta-analysis design may be effective given the abundance of available RCT studies.

This research investigates the accelerated hydrolytic degradation process of both anatomically designed bone scaffolds with a pore size gradient and a rectangular shape (biomimetically designed scaffolds or bone bricks). The effect of material composition is investigated considering poly-ε-caprolactone (PCL) as the main scaffold material, reinforced with ceramics such as hydroxyapatite (HA), β-tricalcium phosphate (TCP) and bioglass at a concentration of 20 wt%. In the case of rectangular scaffolds, the effect of pore size (200 μm, 300 μm and 500 μm) is also investigated. The degradation process (accelerated degradation) was investigated during a period of 5 days in a sodium hydroxide (NaOH) medium. Degraded bone bricks and rectangular scaffolds were measured each day to evaluate the weight loss of the samples, which were also morphologically, thermally, chemically and mechanically assessed. The results show that the PCL/bioglass bone brick scaffolds exhibited faster degradation kinetics in comparison with the PCL, PCL/HA and PCL/TCP bone bricks. Furthermore, the degradation kinetics of rectangular scaffolds increased by increasing the pore size from 500 μm to 200 μm. The results also indicate that, for the same material composition, bone bricks degrade slower compared with rectangular scaffolds. The scanning electron microscopy (SEM) images show that the degradation process was faster on the external regions of the bone brick scaffolds (600 μm pore size) compared with the internal regions (200 μm pore size). The thermal gravimetric analysis (TGA) results show that the ceramic concentration remained constant throughout the degradation process, while differential scanning calorimetry (DSC) results show that all scaffolds exhibited a reduction in crystallinity (Xc), enthalpy (Δm) and melting temperature (Tm) throughout the degradation process, while the glass transition temperature (Tg) slightly increased. Finally, the compression results show that the mechanical properties decreased during the degradation process, with PCL/bioglass bone bricks and rectangular scaffolds presenting higher mechanical properties with the same design in comparison with the other materials.

Background: The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is currently the most important etiological agent of acute respiratory distress syndrome (ARDS) with millions of infections and deaths in the last two years worldwide. Several reasons and parameters are responsible for the difficult management of coronavirus disease-2019 (COVID-19) patients; the first is virus behavioral factors such as high transmission rate, and the different molecular and cellular mechanisms of pathogenesis remain a matter of controversy, is another factor. Summary: In the present review, we attempted to explain about features of SARS-COV-2, particularly focusing on the various aspects of pathogenesis and treatment strategies. Key Messages: We note evidence for the understanding of the precise molecular and cellular mechanisms of SARS-CoV-2 pathogenesis, which can help design the appropriate drug or vaccine. Additionally, and importantly, we reported the updated issues associated with the history and development of treatment strategies such as, drugs, vaccines, and other medications that have been approved or under consideration in clinics and markets worldwide.

Introduction: Many theories have been proposed about the etiology of autism. One is related to brain connectivity in patients with autism. Several studies have reported brain connectivity changes in autism disease. This study was performed on Electroencephalogram (EEG) studies that evaluated patients with autism, using functional brain connectivity, and compared them with typically-developing individuals. Methods: Three scientific databases of ScienceDirect, Medline (PubMed), and BioMed Central were systematically searched through their online search engines. Comprehensive Meta-analysis software analyzed the obtained data. Results: The systematic search led to 10 papers, in which EEG coherence was used to obtain the brain connectivity of people with autism. To determine the effect size, Cohen’s d parameter was used. In the first meta-analysis, the study of the maximum effect size was considered, and all significant effect sizes were evaluated in the second meta-analysis. The effect size was assessed using a random-effects model in both meta-analyses. The results of the first meta-analysis indicated that heterogeneity was not present among the studies (Q=13.345, P>0.1). The evaluation of all effect sizes in the second meta-analysis showed a significant lack of homogeneity among the studies (Q=56.984, P=0.0001). Conclusion: On the whole, autism was found to be related to neural connectivity, and the present research showed the difference in the EEG coherence of people with autism and healthy people. These conclusions require further studies with more extensive data, considering different brain regions, and novel analysis techniques for assessing brain connectivity.

Objective: Tumor necrosis factor-alpha (TNF-α), checkpoint inhibitors, and interleukin-17 (IL-17) are critical targets in inflammation and autoimmune diseases. Monoclonal antibodies (mAbs) have a successful portfolio in the treatment of chronic diseases. With the current progress in stem cells and gene therapy technologies, there is the promise of replacing costly mAbs production in bioreactors with a more direct and cost-effective production method inside the patient’s cells. In this paper we examine the results of an investigational assessment of secukinumab gene therapy. Materials and Methods: In this experimental study, the DNA sequence of the heavy and light chains of secukinumab antibodies were cloned in a lentiviral vector. Human chorionic villous mesenchymal stem cells (CMSCs) were isolated and characterized. After lentiviral packaging and titration, part of the recombinant viruses was used for transduction of the CMSCs and the other part were applied for systemic gene therapy. The engineered stem cells and recombinant viruses were applied for ex vivo and in vivo gene therapy, respectively, in different groups of rat models. In vitro and in vivo secukinumab expression was confirmed with quantitative real-time polymerase chain reaction (qRT-PCR), western blot, and ELISA by considering the approved secukinumab as the standard reference. Results: Cell differentiation assays and flow cytometry of standard biomarkers confirmed the multipotency of the CMSCs. Western blot and qRT-PCR confirmed in vitro gene expression of secukinumab at both the mRNA and protein level. ELISA testing of serum from treated rat models confirmed mAb overexpression for both in vivo and ex vivo gene therapies. Conclusion: In this study, a lentiviral-mediated ex vivo and in vivo gene therapy was developed to provide a moderate dose of secukinumab in rat models. Biosimilar gene therapy is an attractive approach for the treatment of autoimmune disorders, cancers and other chronic diseases.

The design of scaffolds with optimal biomechanical properties for load-bearing applications is an important topic of research. Most studies have addressed this problem by focusing on the material composition and not on the coupled effect between the material composition and the scaffold architecture. Polymer–bioglass scaffolds have been investigated due to the excellent bioactivity properties of bioglass, which release ions that activate osteogenesis. However, material preparation methods usually require the use of organic solvents that induce surface modifications on the bioglass particles, compromising the adhesion with the polymeric material thus compromising mechanical properties. In this paper, we used a simple melt blending approach to produce polycaprolactone/bioglass pellets to construct scaffolds with pore size gradient. The results show that the addition of bioglass particles improved the mechanical properties of the scaffolds and, due to the selected architecture, all scaffolds presented mechanical properties in the cortical bone region. Moreover, the addition of bioglass indicated a positive long-term effect on the biological performance of the scaffolds. The pore size gradient also induced a cell spreading gradient.

In this study, the acidity of urazole (pKa 5–6) was exploited to fabricate a hydrogel in two simple and scalable steps. Commercially available poly(hexamethylene)diisocyanate was used as a precursor to synthesize an urazole containing gel. The formation of urazole was confirmed by FT-IR and 1H-NMR spectroscopy. The hydrogel was characterized by microscopy imaging as well as spectroscopic and thermo-gravimetric analyses. Mechanical analysis and cell viability tests were performed for its initial biocompatibility evaluation. The prepared hydrogel is a highly porous hydrogel with a Young’s modulus of 0.91 MPa, has a swelling ratio of 87%, and is capable of exchanging ions in a medium. Finally, a general strategy was demonstrated to embed urazole groups directly into a crosslinked material.

Speech intelligibility in public places can be degraded by the environmental noise and reverberation. In this study, a new near-end listening enhancement (NELE) approach is proposed in which using a time varying filter jointly enhances the onsets and reduces the overlap masking. For optimization, some look-ahead in clean speech and prior knowledge of room impulse response (RIR) are required. In this method, by optimizing a defined cost function, the Spectro-Temporal Envelope of reverb speech is optimized to be as close as possible to that of clean speech. In this cost function, onsets of speech are optimized with increased weight. This approach is different from overlap-masking ratio (OMR) and speech enhancement (OE) approaches (Grosse, van de Par, 2017, J. Audio Eng. Soc., Vol. 65 (1/2), pp. 31–41) that only consider previous frames in each time slot for determining the time variant filtering. The SRT measurements show that the new optimization framework enhances the speech intelligibility up to 2 dB more that OE.

The material for bone scaffold replacement should be biocompatible and antibacterial to prevent scaffold-associated infection. We biofunctionalized the hydroxyapatite (HA) properties by doping it with lithium (Li). The HA and 4 Li-doped HA (0.5, 1.0, 2.0, 4.0 wt.%) samples were investigated to find the most suitable Li content for both aspects. The synthesized nanoparticles, by the mechanical alloying method, were cold-pressed uniaxially and then sintered for 2 h at 1250 °C. Characterization using field-emission scanning electron microscopy (FE-SEM) revealed particle sizes in the range of 60 to 120 nm. The XRD analysis proved the formation of HA and Li-doped HA nanoparticles with crystal sizes ranging from 59 to 89 nm. The bioactivity of samples was investigated in simulated body fluid (SBF), and the growth of apatite formed on surfaces was evaluated using SEM and EDS. Cellular behavior was estimated by MG63 osteoblast-like cells. The results of apatite growth and cell analysis showed that 1.0 wt.% Li doping was optimal to maximize the bioactivity of HA. Antibacterial characteristics against Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) were performed by colony-forming unit (CFU) tests. The results showed that Li in the structure of HA increases its antibacterial properties. HA biofunctionalized by Li doping can be considered a suitable option for the fabrication of bone scaffolds due to its antibacterial and unique bioactivity properties.

Objective: Immunotherapy and gene therapy play important roles in modern medicine. The aim of this study is to evaluate the overexpression of interleukin-4 (IL-4), IL-10 and leukemia inhibitory factor (LIF) in Wharton’s jelly stem cells (WJSCs) in the experimental autoimmune encephalomyelitis (EAE) mice model. Materials and Methods: In this experimental study, a DNA construction containing IL- 4, IL-10 and LIF was assembled to make a polycistronic vector (as the transfer vector). Transfer and control vectors were co-transfected into Human Embryonic Kidney 293 (HEK-293T) cells with helper plasmids which produced recombinant lentiviral viruses (rLV). WJSCs were transduced with rLV to make recombinant WJSC (rWJSC). In vitro protein and mRNA overexpression of IL-4, LIF, and IL-10 were evaluated using quantitative polymerase chain reaction (qPCR), enzyme-linked immunosorbent assay (ELISA) and western blot (WB) analysis. EAE was induced in mice by MOG-CFA and pertussis toxin. EAE mice were injected twice with 2×105 rWJSCs. The in vivo level of IL-4, LIF, IL-10 cytokines and IL-17 were measured by ELISA. Brain tissues were analyzed histologically for evaluation of EAE lesions. Results: Isolated WJSCs were performed to characterize by in vitro differentiation and surface markers were analyzed by flow cytometry method. Cloning of a single lentiviral vector with five genes was done successfully. Transfection of transfer and control vectors were processed based on CaPO4 method with >90% efficiency. Recombinant viruses were produced and results of titration showed 2-3×107 infection-unit/ml. WJSCs were transduced using recombinant viruses. IL-4, IL-10 and LIF overexpression were confirmed by ELISA, WB and qPCR. The EAE mice treated with rWJSC showed reduction of Il-17, and brain lesions as well as brain cellular infiltration, in vivo. Weights and physical activity were improved in gene-treated group. Conclusion: These results showed that gene therapy using anti-inflammatory cytokines can be a promising approach against multiple sclerosis (MS). In addition, considering the immunomodulatory potential of WJSCs, an approach using a combination of WJSCs and gene therapy will enhance the treatment efficacy.

Background and Aim: The ability of conversational repair is a subset of pragmatic language. When the listener does not understand the speaker’s intention, and the speaker cannot find a way of repairing the conversation to make his/her massage clear, communication will fail. This study aims to examine and compare the conversational repair skill in two groups of three and five year old children, to determine different conversational repair strategies and compare these skills among these groups. Methods: One hundred and twenty Persian speaking children of three and five years of Ahwaz, Iran, were selected. The study tools were two series of pictures. During the retelling of the pictures the examiner created a situation to elicit a conversational repair strategy. Percentages of the usage of different kinds of conversational repair in each group were calculated and compared using student’s ttest. Results: The usage of repetition and inappropriate response is decreased in the group of five year olds compared to the three year olds, but cue-repair and repetition method is increased. The addition method has remained relatively constant. There was a significant difference between average percentage of using repetition (p=0.04) and cue-repair (p=0.001) of the two groups. The percentage of application of repetition method in three year olds and cue-term method in five year olds were significantly higher than other conversational repair strategies. Conclusion: With the increase in age and development of language skills the probability of using more complex and difficult strategies, like the cue-repair method, increases.

Objective(s):Spinal cord injury (SCI) is one of the most serious clinical diseases and its treatment has been a subject of interest to researchers. There are two important therapeutic strategies in the treatment of SCI: replacing lost tissue cells through cells implantation and scar elimination. Therefore, in this study we used human adipose-derived stem cells (hADSCs) implantation and injection of Chondroitinase ABC. Aim of present study was to answer to this question: which one is more efficient for Improvement of locomotor recovery after SCI in rat? Transplantation of hADSCs or injection of ChABC. Materials and Methods: The spinal cord of rats was injured by contusion using a weight-drop at the level of T8-9, the hADSCs and Chondroitinase ABC were infused in to the spinal cord tissue after injury. BBB test was performed and recorded for each animal weekly for 8 weeks. After the 8th weeks, Serial cross-sections were stained with cresyl violet and examined under a light microscope and area of cavity in the spinal cord was measured. Results: At 8th weeks after injection, hADSCs and ChABC significantly promote locomotor function (P

With the increase of communication and financial transaction through internet, on-line signature verification is an accepted biometric technology for access control and plays a significant role in authenticity and authorization in modernized society. Therefore, fast and precise algorithms for the signature verification are very attractive. The goal of this paper is modeling of velocity signal that pattern and properties is stable for persons. With using pole-zero models based on discrete cosine transform, precise method is proposed for modeling and then features is founded from strokes. With using linear, parzen window and support vector machine classifiers, the signature verification technique was tested with a large number of authentic and forgery signatures and has demonstrated the good potential of this technique. The signatures are collected from three different database include a proprietary database, the SVC2004 and the Sabanci University signature database benchmark databases. Experimental results based on Persian, SVC2004 and SUSIG databases show that our method achieves an equal error rate of 5.91%, 5.62% and 3.91% in the skilled forgeries, respectively.

Background: Methodology of Failure Mode and Effects Analysis (FMEA) is known as an important risk assessment tool and accreditation requirement by many organizations. For prioritizing failures, the index of “risk priority number (RPN)” is used, especially for its ease and subjective evaluations of occurrence, the severity and the detectability of each failure. In this study, we have tried to apply FMEA model more compatible with health-care systems by redefining RPN index to be closer to reality. Methods: We used a quantitative and qualitative approach in this research. In the qualitative domain, focused groups discussion was used to collect data. A quantitative approach was used to calculate RPN score. Results: We have studied patient's journey in surgery ward from holding area to the operating room. The highest priority failures determined based on (1) defining inclusion criteria as severity of incident (clinical effect, claim consequence, waste of time and financial loss), occurrence of incident (time - unit occurrence and degree of exposure to risk) and preventability (degree of preventability and defensive barriers) then, (2) risks priority criteria quantified by using RPN index (361 for the highest rate failure). The ability of improved RPN scores reassessed by root cause analysis showed some variations. Conclusions: We concluded that standard criteria should be developed inconsistent with clinical linguistic and special scientific fields. Therefore, cooperation and partnership of technical and clinical groups are necessary to modify these models.

Abstract. Preferences provide a means for specifying the desires of a decision maker (DM) in a declarative way. In this paper, based on a DM's pairwise preferences, we infer the [...]

Objective: This study aimed to investigate neurocognitive functioning, quality of life, and global functional performance in Ultra-High Risk (UHR) individuals compared to Familial High-Risk (FHR) individuals for developing schizophrenia. Method: An observational cross-sectional study was conducted using a convenient sampling method at Roozbeh Hospital in Tehran, Iran, from June 2017 to January 2020. The study included 40 UHR individuals based on the Structured Interview for Psychosis Syndrome (SIPS) interview, as well as 34 FHR individuals due to genetic risk. Neurocognitive functioning, quality of life, and global functional performance were assessed by using the Cambridge Automated Neuropsychological Test Battery (CANTAB) and Controlled Oral Word Association Test (COWAT), Quality of Life Scale (QLS), and Global Assessment of Functioning (GAF). Results: UHR individuals for schizophrenia demonstrated significant lower scores in phonemic and semantic verbal fluency (t = 6.218, P < 0.001; t = 4.184, P < 0.001, respectively), more total errors for spatial working memory (t = -5.874, P < 0.001), and fewer problems solved in minimum moves in Stocking of Cambridge (SOC) (t = -2.706, P < 0.01) compared to FHR individuals. Intra-Extra Dimension (IED) did not differ significantly between the two groups. Moreover, the study indicated significant GAF decline (F = 79.257, P < 0.001) and lower total score on the QLS (t = -10.655, P < 0.001) in UHR compared to FHR individuals. Conclusion: It is possible to differentiate UHR individuals from FHR individuals through neurocognitive, quality of life, and global functioning assessment. [ABSTRACT FROM AUTHOR]

Iron furnace gases, a byproduct of the steel and iron industries, have been the subject of research on employing them to power some of the factory's internal needs. The rise in fuel costs and focus on energy system sustainability have created distinct frameworks for heat loss sources and low-value fuels. In this study, iron furnace gas produced in steel and iron factories has been used to produce additional power to provide part of the domestic power consumption of these factories. The supercritical carbon dioxide cycle has been used to generate power. The results show that at the optimal point, the system has emissions of 0.52 and a net power output of 22100 kWh. Also, the system's efficiency is 38.56% and carbon dioxide emission is 0.510 tons/MWh. Also, by increasing the exhaust gas temperature by 150 degrees, it is clear that 2 MW of recycled heat can be obtained. Also, in this regard, the output work of the turbine has increased by 0.8 kW and increases the efficiency of the whole cycle by 31.5% to 37%. [ABSTRACT FROM AUTHOR]

Abstract Chemical modifications to mRNA respond dynamically to environmental cues and are important modulators of gene expression. Nanopore direct RNA sequencing has been applied for assessing the presence of pseudouridine (ψ) modifications through basecalling errors and signal analysis. These approaches strongly depend on the sequence context around the modification, and the occupancies derived from these measurements are not quantitative. In this work, we combine direct RNA sequencing of synthetic RNAs bearing site-specific modifications and supervised machine learning models (ModQuant) to achieve near-analytical, site-specific ψ quantification. Our models demonstrate that the ionic current signal features important for accurate ψ classification are sequence dependent and encompass information extending beyond n + 2 and n − 2 nucleotides from the ψ site. This is contradictory to current models, which assume that accurate ψ classification can be achieved with signal information confined to the 5-nucleotide k-mer window (n + 2 and n − 2 nucleotides from the ψ site). We applied our models to quantitatively profile ψ occupancy in five mRNA sites in datasets from seven human cell lines, demonstrating conserved and variable sites. Our study motivates a wider pipeline that uses ground-truth RNA control sets with site-specific modifications for quantitative profiling of RNA modifications. The ModQuant pipeline and guide are freely available at https://github.com/wanunulab/ModQuant .