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Abstract Information technology governance provides an organizational capability for the strategic alignment of information technology by clarifying the structures, processes and stakeholders. The development of this capability is more necessary in the more complex environment of cloud computing and for each actor of this ecosystem. The development of the information technology governance framework based on governance theories appropriate to the organization's environment significantly increase the success rate of this framework in realizing the strategic partnership approach of information technology with business and is a basic technology for establishing the processes required to achieve the organization's maximum goals. In this article, by determining and analyzing the basic theories of information technology governance and cloud computing governance, stakeholder theories and cost-transaction in the organizations using cloud computing resources, selected and then using the qualitative method of combining theories and based on the participation of all stakeholders (stakeholder theory) and resource-risk approach (cost-transaction theory), a hybrid basic governance theory has been developed.Introduction Although the topic of information technology governance has been the focus of researchers in recent years, the method based on the combination of basic theories has been neglected. Therefore, it is very important to address the development of the IT governance framework compatible with the organization's conditions (nature, size, technology, vision, strategies, etc.). This article explains a new method to determine the appropriate baseline for the development of such a framework in the cloud computing environment. Case study The field of activity of the five organizations, who participated in this research, is the development and support of software systems, the construction, supply and support of network equipment, the provision of mobile phone operator services and banking services in the context of mobile banking and the Internet.Materials and Methods Considering the social aspects of information technology, as well as the high dependence of the concept of governance on the context and nature of the studied organizations, the present research is based on the paradigm of meta-positivism and with the ontology of reality and incomplete understanding of it, epistemology of dualism and moderated objectivism, and qualitative methodology. It seeks to develop the basic theory of information technology governance in organizations using cloud computing environment. The current research is developmental from the point of view of the goal. The research method is based on the qualitative method of the focus group with the participation of five experts. The experts of this research were selected from the managers of five organizations active in the field of information technology, and all of them, while being members of the academic faculty of the university, had management experience in one of the studied organizations.Discussion and Results The point of distinction and innovation of the present research compared to other researches and previous studies is the simultaneous attention to two categories of the importance of the needs and expectations of the stakeholders and the economic attitude in providing the organization's computing resources. As mentioned in the literature, the previous researches were mainly based on one theory, and in the few researches where two theories were referenced, the combination of the two theories of stakeholders and cost-transaction was not. In this research, the concept of governance through stakeholder theory and cloud computing logic through cost-transaction theory can be implemented and understood in the process model of the studied organizations.ConclusionBased on the mapping of the findings of the first question of the research, it can be said: a suitable process framework for the governance of information technology in the organization's cloud environment, based on: 1- participation and supervision of all stakeholders (stakeholder theory) and 2- resource-risk approach in determining the priority of meeting needsThe obtained results show a developed hybrid governance theory, based on 51 needs of nine stakeholders, which ensures the fulfillment of 30 needs according to the resource-risk approach in the form of 16 governance processes, and provides an innovative basis of applying basic theories in the development of enterprise-ware technology of governance of information technology in the cloud environment.

This study examined the durational aspects of speech rhythm in Bengali (L1) and English spoken by educated Bengali advanced English learners (L2) to represent the effect of language-specific and cross-linguistic factors on speech rhythm. Employing metrics such as rateSyl, ΔC, nPVI-C, nPVI-V, VarcoV, %V, and ΔPeakLn, the study revealed that L1 exhibited a faster tempo, shorter consonants, and longer vowels relative to consonants, while L2 speech demonstrated greater variability in consonant and vowel durations, which are language-specific factors of L1 being a syllable-timed language and L2 being a stress-timed language. However, sonority patterns between syllables seemed consistent across L1 and L2 suggesting the cross-linguistic impact of L1 on L2. Moreover, the results identified the proportion of vocalic intervals (%V) as the most effective metric for differentiating between L1 and L2 rhythms.

Introduction: Hydatidosis is the formation of cysts caused by the parasitic infection of Echinococcus granulosus. This disease predominantly affects the liver and lungs. The involvement of other organs is quite rare. Case presentation: A 5-year-old Iranian boy presented with abdominal pain, anorexia, and hepatomegaly. The pain had been present for about 1 year. He had developed low-grade fever during the previous two months. On physical exam he had abdominal distention and a palpable mass on the right lower quadrant. Basic blood work revealed leukocytosis and eosinophilia. An abdominal ultrasound revealed a 5 × 6 × 8 cm cystic lesion in the pelvis, and two cystic lesions located in the right lobe of the liver. A computerized tomography (CT) scan of the abdomen confirmed the findings. CT of the chest and brain ruled out further cystic lesions. The patient had a positive Indirect hemagglutination assay (IHA), confirming the diagnosis of hydatidosis. A regimen of an albendazole was initiated. He was taken to the operating room for the resection of all cysts. The hepatic cysts were drained and re-filled with hypertonic saline solution, which was left in place for several minutes. Next, the hypertonic solution was drained and all hepatic cysts removed. We turned our attention to the pelvic cyst. It had a thick wall and was indistinguishable from the surrounding tissues. After dissecting it we found that it was arising from the wall of the appendix. We surrounded it with gauze embedded in hypertonic solution and resected the majority of it, leaving a small aspect of the external layer that was densely adherent to the bowel. He recovered well from the operation, remained on albendazole for 6 months, and has had no recurrences this far. Conclusion: Appendiceal hydatid cysts should be included in the differential diagnosis of patients with hydatid disease and pelvic cysts.

Objective: Suicide is an important health issue nearly all over the world. The Columbia Suicide Severity Rating Scale (C-SSRS) is a well-known instrument for suicide risk assessment. Our purpose in this study is to provide a Persian version of the C-SSRS and evaluate its psychometric properties in the Iranian military population, particularly suicide risk leveling characteristic of the C-SSRS. Method: For linguistic adaptation, we gathered opinions of an expert panel consisting of 23 professionals in mental health sciences. Furthermore, this version was administered to two groups of soldiers, one representing a sample of normal population (N = 338), while the other group comprised a sample of clinical population from a referral psychiatric hospital (N = 348) in Tehran, capital of Iran, from July 2021 until one year later. Besides the C-SSRS, the Beck Scale for Suicidal Ideation (BSSI), Beck Hopelessness Scale (BSS), and General Health Questionnaire 28 (GHQ28) were obtained from the participants. Correlation coefficients, internal consistency, and factor analysis were evaluated using the Statistical Package for the Social Sciences (version 23) software. Results: All items of the Persian version of the C-SSRS had acceptable content validity and face validity. This tool demonstrated high correlation coefficients with the BSSI (r = 0.73, P < 0.001) and BHS (r = 0.64, P < 0.001), but a low correlation coefficient with the GHQ28 (r = 0.22, P < 0.001). Specifically, the suicide risk level based on the C-SSRS had a high correlation with both the BSSI and BHS. Also, its internal consistency was satisfactory (Cronbach's alpha = 0.89). Furthermore, factor analysis revealed two factors that is consistent with suicidal ideation and suicidal behavior factors. Conclusion: Our results indicated acceptable validity and reliability for the Persian version of the C-SSRS, demonstrating its capability to classify suicide risk. It can be concluded that the ordinal suicide risk level (as red, orange, yellow and green) is a valid index for the application of the C-SSRS.

Abstract Background The aim of this study was to determine if different types of core substrates have any effect on the trueness and precision of digital intraoral impressions. Material and Methods A customized typodont with four similar cores of natural dentine, composite, metal (Ni‐Cr), and zirconia in the position of premolars was fabricated. The study model was scanned five times with two types of intraoral scanners (Carestream 3600 and 3Shape Trios 3), and a reference standard scan was obtained using a laboratory scanner (3shape D1000). A metrology software (Geomagic X) was used to align the data of experimental scans and the reference scan to determine deviation values (trueness). Precision values were calculated with random superimposition in each intraoral scanner group. The Kruskal–Wallis test was used to compare differences between different substrates, and the Mann–Whitney test was used to compare the average values between the two scanners. Results Trios 3 was found to be significantly truer and more precise than Carestream 3600 (p value = .005,

Abstract Background Conversion total hip arthroplasty (THA) is considered the main treatment plan for patients with first-line treatment failure of acetabulum fracture. This meta-analysis aims to assess the effect of the type of initial treatment and timing of surgery on the outcomes of conversion THA. Methods Using PRISMA guidelines, MEDLINE/PubMed, Scopus, Web of Science, and CENTRAL Cochrane were searched for articles published before October 14, 2022. Comparative studies investigating the outcome of THA following treatment failure of acetabular fracture were included. These articles were categorized into three groups, and the outcomes of treatment plans in each group were compared: (A) primary THA vs. conversion THA, (B) THA following conservative treatment vs. THA following ORIF, and (C) acute THA vs. delayed THA following prior treatment failure. Review Manager (RevMan, version 5.3) software was utilized to perform the statistical analysis. Results Twenty-four comparative studies met the inclusion criteria (reported the data of 13,373 patients). Concerning group (A), the following complications were significantly higher in conversion THA: Infection (OR [95% CI] 3.19 [2.12, 4.79]; p value

Extended AbstractAbstractEvaluation of service quality is one of the main concerns of government and non-government service providers. With the advancement of mobile technologies and the provision of government services to citizens in the framework of mobile government, the evaluation of the quality of this type of service has already received the attention of governments and researchers in the field of mobile government service quality. In this research, thematic analysis method and interpretive structural modeling (ISM) technique have been used. By analyzing the theme of the identified factors and themes and using the interpretive structural modeling method, the factors have been identified and classified among these factors.The method of theme analysis and interpretive structural modeling is based on the opinion of experts. The experts in this research consist of 14 expert professors, researchers and executives in the field of mobile government. The results of the research show that evaluating the quality of mobile government services at the first level, satisfying citizens at the second level, educating citizens and building trust in mobile government services at the third level, designing aapplication at the fourth level, data security and the culture of mobile government services at the fifth level, organizational policy, Web3 capabilities, and software and hardware infrastructure are at level six.IntroductionThe concern of all governments is to improve the indicators of good governance and in order to communicate and improve the quality of services for citizens, and from the period of providing traditional services to the provision of mobile electronic services, this challenge is always there for governments, because providing appropriate services It guarantees citizens satisfaction and suitable indicators for well-being in different countries. Due to the attention of the governments to the category of new technologies as the key to the problems of providing and improving the quality of services, goals such as trying to downsize the government body, reducing the costs of providing services, etc. are pursued. The same issue led to the emergence of mobile government in the world, where governments provide their services to citizens through smart mobile systems. The unique capabilities and features of mobile government, including location and time constraints in providing services, make governments welcome this phenomenon. Parallel to mobile government, we are witnessing the emergence of a new generation of the web called Web 3. which has emerged after the generations of Web1 and Web2. Based on this, in addition to providing services to help new technologies, evaluating the quality of services is also important for governments. Service provider organizations should also provide the necessary conditions to evaluate service quality for information technology by managing contextual factors, technology, policies, etc.Case StudyIn recent years, providing quality mobile electronic services to citizens has been considered as a key activity and the main factor in the success of governments and organizations services.The current research was conducted with the aim of identifying and leveling the factors affecting the quality of moblie government services in Iran in order to improve the quality of services in this field.Materials and MethodsIn this research, thematic analysis method and interpretive structural modeling (ISM) technique have been used. By analyzing the theme of the identified factors and themes and using the interpretive structural modeling method, the factors have been identified and classified among these factors.The method of theme analysis and interpretive structural modeling is based on the opinion of experts. The experts in this research consist of 14 expert professors, researchers and executives in the field of mobile government.Discussion and ResultsThe results of the research show that evaluating the quality of mobile government services at the first level, satisfying citizens at the second level, educating citizens and building trust in mobile government services at the third level, designing aapplication at the fourth level, data security and the culture of mobile government services at the fifth level, organizational policy, Web3 capabilities, and software and hardware infrastructure are at level six.ConclusionIn this research, with the help of interpretative structural modeling, the factors affecting the quality of mobile government services in Iran were stratified based on expert interviews and thematic analysis. The results showed that there are ten dimensions affecting the quality of mobile government services from the experts' point of view. Paying attention to each of the introduced dimensions increases the quality of services in other sectors as well.

Extended Abstract Abstract The Corruption Perceptions Index (CPI) published by Transparency International over recent years sheds light on Iran's unfavorable ranking. The present research develops an Electronic government (e-Government) model that emphasizes countering corruption in Iran. It prioritizes the critical parameters in countering corruption to establish the comprehensive structure of e-Government. Thus, this study is developmental and applied in terms of its goals. It draws on the Exploratory sequential mixed methodology and follows a descriptive correlational research design. The statistical population in the qualitative section consists of experts, whereas the quantitative part studies the relevant staff and university professors. The qualitative phase relies on judgment sampling, with the quantitative phase utilizing cluster sampling and semi-structured interviews. The quantitative and fuzzy Delphi phase employs questionnaires with closed-ended questions. Reliability was calculated through the retest reliability method and was verified using Cronbach's alpha coefficient. Theme analysis and the Fuzzy Delphi method were used to analyze the data. Findings suggest that Information Technology (IT), network accessibility, regulations, C2G, B2G, and G2G services, and human capital constitute critical priorities in establishing an e-Government to counter corruption. IntroductionOne of the important factors that can prevent the efforts of the government from achieving its goals is corruption. Corruption is an act that ignores the public interest in favor of some special interests (Arayankalam et al., 2021). Transparency International's 2021 report on the Corruption Perceptions Index indicates that Iran's ranking has dropped by one step and ranked 150 out of 180 countries under review, and this is the result of the influence of corruption in the governing body, which weakens the effectiveness of the legislative, executive and judicial branches. has made it necessary to deal with this social problem as a result. E-government refers to the use of information and communication technology (ICT) and the Internet to increase access and provide all aspects of government services and operations for the benefit of citizens, businesses, employees and other stakeholders and is widely recognized in the fight against corruption. (Nam, 2018;). However, there is considerable ambiguity in existing research on the impact of e-government on corruption.Materials and Methods This research is based on the objective, applied-developmental, based on method of mixed type (quantitative-qualitative), sequential-exploratory, and in terms of the data analysis method, descriptive-correlation. In the qualitative part, the statistical community is organizational and academic experts in the field of E-government and organizational behavior, and in the quantitative part, it is the relevant employees and some university professors. Sampling in the qualitative stage was by judgmental method and 9 organizational experts and 4 academic experts were selected in the quantitative stage 60 people were selected by cluster method and according to Karjesi and Morgan table. The method of collecting theoretical data is archival and field statistical data. The qualitative data collection tool (theme analysis stage) was a semi-structured interview and the Fuzzy and quantitative Delphi stage was a questionnaire with closed questions. The validity of the qualitative data measurement tool was checked by the Newman validation method and the validity of the quantitative data was checked by the form and construct validity method and confirmed. To calculate the reliability of the qualitative part, the retest reliability method was used to measure the reliability in the quantitative part, the Alpha Cronbach coefficient was used and confirmed. To analyze the data in the qualitative part, the theme analysis method was used and in the second stage, the Fuzzy Delphi method was used. Quantitative part data was also analyzed by structural equation modeling method with the help of Smart PLS3 software.Discussion and Results Theme analysis method was used to identify the indicators, components, factors affecting the reduction of corruption, and G2B, G2C, G2G services, human resources training, network access, information technology infrastructure, organizational rules, general rules and work process were included as independent variables. were examined and the significant coefficients of all 9 parameters were extracted above 2.58. To check the quality of the structural model in general, the GOF index was used and the value of 0.5325 was obtained, which confirms the appropriate quality of the qualitative model. The current research was conducted to developing the E-government model for anti-corruption in Iran. The results showed that the model includes service components, communication infrastructure and access to the network, laws and regulations, and human capital, while the coefficients of the result were significant at 99.9%.

Background: The FAKHRAVAC®, an inactivated SARS-CoV-2 vaccine, was assessed for safety and immunogenicity. Methods and findings: In this double-blind, placebo-controlled, phase I trial, we randomly assigned 135 healthy adults between 18 and 55 to receive vaccine strengths of 5 or 10 μg/dose or placebo (adjuvant only) in 0–14 or 0–21 schedules. This trial was conducted in a single center in a community setting. The safety outcomes in this study were reactogenicity, local and systemic adverse reactions, abnormal laboratory findings, and Medically Attended Adverse Events (MAAE). Immunogenicity outcomes include serum neutralizing antibody activity and specific IgG antibody levels.The most frequent local adverse reaction was tenderness (28.9%), and the most frequent systemic adverse reaction was headache (9.6%). All adverse reactions were mild, occurred at a similar incidence in all six groups, and were resolved within a few days. In the 10-µg/dose vaccine group, the geometric mean ratio for neutralizing antibody titers at two weeks after the second injection compared to the placebo group was 9.03 (95% CI: 3.89–20.95) in the 0–14 schedule and 11.77 (95% CI: 2.77–49.94) in the 0–21 schedule. The corresponding figures for the 5-µg/dose group were 2.74 (1.2–6.28) and 5.2 (1.63–16.55). The highest seroconversion rate (four-fold increase) was related to the 10-µg/dose group (71% and 67% in the 0–14 and 0–21 schedules, respectively). Conclusions: FAKHRAVAC® is safe and induces a strong humoral immune response to the SARS-CoV-2 virus at 10-µg/dose vaccine strength in adults aged 18–55. This vaccine strength was used for further assessment in the phase II trial.Trial registrationThis study is registered with https://www.irct.ir; IRCT20210206050259N1.

IntroductionToday, the strategic importance of information is obvious to all businesses. In addition, the competitive environment of each company is constantly changing. The Spring 2020 event was a testament to this fact. Due to the health and economic crisis caused by the emergence and spread of an unknown virus, various teams found it difficult to convey their advertising messages, campaigns and services. They could no longer rely on their assumptions about what customers buy and why and how they buy it (Johnson, 2020). Access to rich information for businesses that operate both in the field of e-commerce and in the retail sector of perishables is crucial. These products have a short life cycle and should be consumed faster. If the market intelligence model is properly designed for such businesses based on the supply chain of perishables, then managers will be able to correctly identify their customers, competitors and the business environment and run their business more successfully and grow as a result. In Iran, not much research has been conducted to provide a model that simultaneously addresses the aspects related to supply chain, market intelligence and online retail of fast-moving (perishable) products. and each of the models or patterns in the literature address one aspect of the issue. If market intelligence is at the service of the supply chain, it can create opportunities to reduce costs and increase customer satisfaction through collaborative decisions. Based on what was presented in the introduction, the main question of the research is extracted as follows.Research QuestionRQ1: what are dimensions and components of Market Intelligence model in the supply chain of FMCG (perishables) products in online retailing.Literature ReviewThe concept of market intelligence has attracted a lot of attention in recent years. Various experts have defined market intelligence in some way: market intelligence is formed through detailed and accurate information about business environment in general, consumer needs and preferences, technology and changes in the business environment that can affect buyers. (Hedin,2014). Market intelligence enables small businesses to identify market attractiveness and create value and drive innovation (Del Vecchio, 2018). 2.1. Supply Market IntelligenceThe relationship between market intelligence and supply chain can be found under concept of supply market intelligence. (SMI). Market intelligence is a process for gaining competitive advantage and reducing risk by increasing knowledge about market dynamics and includes market intelligence, process and price benchmarking to evaluate sourcing performance, competitive sourcing identifying strategic opportunities in markets that lead to lower prices ,emerging supply channels and markets (Hanfield,,2010). 2.2. Organization Information Processing Theory (OIPT)One of the theories which is the basis for market intelligence and business intelligence is organization information processing theory (OIPT), which was introduced by Galbraith in late 1973. According to Galbraith, when uncertainty is low, organizations can be managed by relying on rules and programs and hierarchical referrals but in situations where the organization is facing high uncertainty, the need for information processing increases and there are two general solutions in this regard: organizations must either reduce the need for information processing or increase information processing capabilities by investing in information systems (Galbraith, 1974).2.3. Market OrientationThe root of market intelligence can also be traced to a concept called market orientation. The concept of market orientation has been developed from two perspectives: behavioral perspective and market intelligence perspective. According to Kohli and Jaworski, market orientation is a set of behaviors or activities related to market intelligence, dissemination of market intelligence among different units of the organization and responsiveness based on it (Kohli & Jaworski, 1990). According to Narver and Slater, Market Intelligence has three main components: customer orientation, competitiveness, and cross-sectoral coordination. In short, market orientation states that customer orientation helps companies to understand the needs and wants of their customers and take basic steps to meet them. Competitiveness will enable companies to create more value for customers than competitors and thus achieve a sustainable competitive advantage. The role of market intelligence is in collecting, analyzing and disseminating this information (Narver & Slater, 1990). MethodologyIn this study mixed method approach has been adopted. First, in order to achieve the research objectives and identify the indicators of market intelligence in the supply chain of perishable products (fruits and vegetables), the seven-step approach of Sandelowski and Barroso’s (2003) meta-synthesis method was used. The statistical population covers the research published in 3 databases of ProQuest, Science Direct and Google Scholar during the period time of 2010-2021 for keywords of market intelligence and supply market intelligence. For other keywords, different period time was applied. In the second part, to obtain additional indicators, semi-structured interviews were conducted by an exploratory approach. In this regard, interviews were conducted with experts in the field of retail of fast-moving and perishable products, service providers of fruits in Iran’s e-commerce environment. ResultsIn order to achieve the most relevant research to enter the meta-synthesis process, criteria for inclusion and exclusion of research were considered.. A total of 1654 studies were reviewed, of which 276 studies had related topics, and with elimination of duplicated studies, There were 202 researches available, of which 113 had abstracts, 48 ​​had content and 31 had appropriate quality and analysis method. In order to combine the findings of the research, the approach of Sandelowski and Barroso has been followed, in the sense that after careful study of studies and articles, codes have been identified from their texts and the researcher has formed a classification based on it and Similar classifications were placed on the topic that best described it. The sample of Codes, concepts and category identified in meta-synthesis phase is illustrated in table 1.Table 1. An example of coding in meta-synthesis processCodesConceptCategoryCustomer Demographic InformationCustomer InsightCustomer & Market Insight Customer personalizationCustomer interests and NeedsFocus group sessions with customersCustomer EngagementCall Center interaction with customerCustomers surveysThe coding process at the meta-synthesis stage led to the identification of 5 categories (supply chain intelligence, market and customer insight, business intelligence, social business intelligence and competitive intelligence), 23 concepts and 5 categories.In the second phase of the research, the new items identified in the theme analysis of semi-structured interviews with experts which included Order, Co-Branding, Customer Club, and Financial Issues. By comparing and combining the dimensions and components obtained in the two qualitative stages of the research, the market intelligence model for perishable products in the field of online retail was presented in the form of the model presented in Figure 1. Figure 1. Supply market intelligence (research model) In order to validate the model, the conditions for establishing reliability and validity (convergent and divergent validity) and fit indices must be met according to Table 2. Table 2. Conditions for establishing Reliability & ValidityindicatorsAllowable ValidityReliabilityComposite Reliability > 0.7 and Cronbach's alpha>0.6Convergent validityLoading Factor >0.5CR>AVEAVE>0/5Rho_A>0/6Discriminate validityAVE>MSVFit Indices‌GOF>0/36SRMR0/9Descriptive statistics and central indicators such as mean, standard deviation, skewness and kurtosis for each of the components and dimensions and indicators are reported in the above table 3.Table 3. Sample of Descriptive indicators and first-order confirmatory factor analysis The reliability index was evaluated by measuring the factor loads and the reliability of the latent variables was evaluated by the compositional reliability . Cronbach's alpha results, compositional reliability and are shown in Table 4.Table 4. Sample of Cronbach's alpha results, composite reliability and convergent validityDimensionComponentsCronbach’s AlphaCA>0/6rho_A>06Composite ReliabilityCR>0/7Average variance extractedAVE>0/5Supply chain intelligenceSuppliers club & insight0/6920/7150/8650/762Service Provider Portal0/9250/9260/9380/656Competitive intelligenceResponse to Competition0/8440/8480/8950/682Tactical competition0/8910/8940/9330/822Customer & Market InsightCustomer Engagement0/9000/9000/9380/834Social Business IntelligenceCompetitive insight in social network0/7160/7160/8760/779Social Customer Interaction0/8450/8450/9280/866According to Table4, the Cronbach's alpha value for all variables is greater than the appropriate limit of 0.6 . Also the value of the compositional reliability coefficient for each variable is more than the desired limit of 0.7. In this model, the convergent validity of the model variables is all higher than 0.5, all of which are at an appropriate level. ConclusionIn this study, the aim was to develop a market intelligence model in the supply chain of perishable products in the field of online retailing. Handfield (Handfield, 2006), introduced the supply market intelligence concept and considered business intelligence and market intelligence as the information drivers of supply chain processes. According to the meta-synthesis of literature and analysis of semi-structured interviews with 14 experts, the components of each of the proposed dimensions were identified and social business intelligence and supply chain intelligence were identified as new dimensions of supply market intelligence model. In fact, a complete and optimal supply chain should include those activities that the customers value ​​and are willing to pay for the resulting services or products. Therefore, understanding customer behavior is very important. What is very important in the supply chain is that supply is aligned with demand across the supply chain, so a better understanding of suppliers and end customers is the best way to reduce costs in the supply chain., As a summary, the identified dimensions and the importance and role of each in the supply market intelligence model is discussed. - Supply chain intelligence. In this dimension, the components related to the to the links that make up the chain (logistics, sourcing, service provider gateway ...) should be considered to ensure that these links work efficiently. In e-commerce, logistics and service provider portals (such as website or mobile App) are very important because they are the connection point with customers and if the delivery is not done properly, especially for perishable products, in addition to customer dissatisfaction will cause product waste. Also, the service provider portals should have appropriate features such as speed, graphics, user friendliness, user experience, security, providing complementary services, ease of payment and other important features to make users and customers will revisit the website.- Market and customer insights. In this dimension, 4p components and customers are defined. It is crucial to identify market trends as well as the position that the business has with its customers. In fact, depending on the type of product and service that customers are willing to pay for, supply chain processes can be restructured. - Competitive intelligence. The way competitors market their products and services and the scanning of the external business environment are crucial in shaping the business supply chain. According to the resource-based view theory, a service should be defined in the supply chain that cannot be easily copied or provided by competitors and brings a competitive advantage to the firm, and this requires knowledge of the technologies adopted by competitors and the type of service and price offered by them.- Business intelligence. One of the important dimensions of the supply market intelligence model is business intelligence. In fact, the revenue model, sales volume, statistics and financial information and value that the retailer has created for itself, and the and the evaluation of incentives provided in the form of discount plans, provide insight to managers to focus on those products and services in the supply chain that they bring better and more to the business, and according to these factors, the company's revenue model can be defined.- Social business intelligence. Social networks have had a significant impact in the last decade. Social customers are able to share information with countless members of these networks, so analyzing social customer relationships and current trends in these networks and analyzing the performance of competitors in these networks is very important. In fact, these networks have created a new potential market for businesses and require their own sourcing and marketing.Based on what was covered in this study, it can be concluded that those businesses that operate in the field of online retailing, always need to find themselves in the path of information flow, which is an attempt to reduce uncertainty.

Background: Studies in psychology have shown that having adverse childhood experiences can have irreversible effects on adulthood. On the other hand, failure to satisfy psychological needs has led to the experience of emotional pain, which is not possible except through the deepening of emotional processing and access to trauma-related experiences. So far, no in-depth research has been conducted to understand women's emotional pain affected by a childhood in Iran. Aims: The purpose of this study was to better understand the emotional pain experienced by women who had adverse childhood experiences. Methods: The current research was conducted using a qualitative method of phenomenology. The study sample included 10 women from Tehran who had traumatic experiences in their childhood. The sampling method was purposive. We conducted semi-structured interviews with individuals. We implemented the text of the interviews verbatim and analyzed the data by the Colaizzi seven-step method (Morrow et al., 2015). Results: The participants' responses extracted two main themes: shame and fear. These themes included the following: All participants experienced shame in all four dimensions of trauma (physical, emotional, sexual, and neglect), and the sub-themes included worthlessness, helplessness, incompetence, humiliation, inferiority, fault/guilt, not being lovable, and impurity/dirt. b) Fear: All participants in this study who experienced psychological, physical, sexual, or neglect trauma felt fear; its sub-themes include fear of insecurity, rejection, abandonment, failure to meet needs, loss, fear of trauma, and lack of support. Conclusion: Based on the study's findings, women, and girls who have experienced one of the forms of trauma (sexual, physical, emotional, or neglect) under the age of 18 experience emotional pain, shame, and fear in adulthood.

Abstract Background The FAKHRAVAC®, an inactivated SARS-CoV-2 vaccine, was assessed for safety and immunogenicity in a phase II trial. Methods We did a phase II, single-centered, randomized, double-blind, placebo-controlled clinical trial of the FAKHRAVAC inactivated SARS-CoV-2 vaccine on adults aged 18 to 70. The two parallel groups received two intramuscular injections of either a 10-µg vaccine or a placebo at 2-week intervals. The participants' immunogenicity responses and the occurrence of solicited and unsolicited adverse events were compared over the study period of up to 6 months. Immunogenicity outcomes include serum neutralizing antibody activity and specific IgG antibody levels. Results Five hundred eligible participants were randomly (1:1) assigned to vaccine or placebo groups. The median age of the participants was 36 years, and 75% were male. The most frequent local adverse reaction was tenderness (21.29% after the first dose and 8.52% after the second dose), and the most frequent systemic adverse reaction was headache (11.24% after the first dose and 8.94% after the second dose). Neutralizing antibody titers two and four weeks after the second injection in the vaccine group showed about 3 and 6 times increase compared to the placebo group (GMR = 2.69, 95% CI 2.32–3.12, N:309) and (GMR = 5.51, 95% CI 3.94–8.35, N:285). A four-fold increase in the neutralizing antibody titer was seen in 69.6% and 73.4% of the participants in the vaccine group two and four weeks after the second dose, respectively. Specific ELIZA antibody response against a combination of S1 and RBD antigens 4 weeks after the second injection increased more than three times in the vaccine compared to the placebo group (GMR = 3.34, 95% CI 2.5–4.47, N:142). Conclusions FAKHRAVAC® is safe and induces a significant humoral immune response to the SARS-CoV-2 virus at 10-µg antigen dose in adults aged 18–70. A phase III trial is needed to assess the clinical efficacy. Trial registration: Trial Registry Number: Ref., IRCT20210206050259N2 ( http://irct.ir ; registered on 08/06/2021)

AbstractThis study aims to provide a model for aligning IT and business strategy in order to improve performance in the banking system.This research is based on empirical philosophy and has been done by deductive-inductive method. The present study is a fundamental research in terms of purpose and in terms of data collection method, is among the survey research. Quantitative and qualitative methods have been used in this research, so it is a mixed research. The statistical population of this article includes experienced professors and experts in the management of Bank Mellat. The snowball method was used for sampling. Finally, 11 qualified experts participated in this study. In this research, the meta-combined method has been used to identify the underlying categories of performance management. Also, using interpretive-structural modeling, an alignment model of IT and business strategy to improve banking performance has been presented.IntroductionStrategic alignment is at the heart of strategic management literature, because maintaining such balance with the organization's priorities increases the organization's ability to respond to environmental pressures. Many studies have been conducted on how to create alignment between organizational strategies and information technology, but no scientific research has been conducted specifically in relation to Iran's banking system.Case StudyIn recent years, performance management has been considered as a key activity and an essential factor in the success of the banking system.The present research is aimed at identifying and recognizing the effective factors in aligning the information technology and business strategies in order to improve performance in the Iranian banking system and specifically in Bank Mellat.Materials and MethodsA mixed method approach (which involves the mixing of both quantitative and qualitative research methods) is used in the present study. In the qualitative part of the study, the data was gathered through a meta-synthesis technique. After determining the categories using the meta-synthesis technique, a questionnaire was developed based on Interpretative Structural Modeling (ISM). The statistical population includes experts and experienced managers of Bank Mellat. 11 participants were chosen through applying the snowball sampling method.Discussion and ResultsThe categories and subcategories of the research were identified through coding the texts of the selected internal and external studies and articles and removing the synonymous and frequent items. As a result, the pattern of information technology and business strategies alignment in Iran's banking system was extracted, and then the structures of the desired pattern were tested in relation with the case study (Bank Mellat).The results indicate that the structures constituting the pattern of information technology and business strategies alignment used to improve the performance of the banking system of Iran are as follows:Business strategies, banking processes, information technology strategies, information technology infrastructures, quality of banking services, banking performanceConclusionIn this research, a pattern of information technology and business strategies alignment in line with the performance of Iran's banking system was extracted. The results indicated that information technology and banking business increase the quality of banking services through strategic alignment. Increasing the quality of banking services also leads to the improvement of banking performance.

Raw datasets were sourced from a U.S. based provider of digital gambling payments systems, who has demanded to remain anonymous. The raw datasets cover a time period of 6-years (2015-2021), representing over 300,000 customers and approximately 90 million transaction records. One of these raw datasets is a transaction log file representing customer payment transaction data across a variety of gambling merchants (e.g., online casinos, sportsbooks, and lottery providers). With this article we describe the transaction log file and provide two filtered subsets of the data. The subsets contain 1-year of customer payments transaction records for two gambling merchants: (1) a casino-focused brand and (2) a sports-focused brand. These data will be particularly helpful to researchers in the fields of gambling studies and behavioral sciences, and more generally for data and computer scientists. With digital payments becoming increasingly prevalent across the gambling industry, these data can be used to explore how individuals’ payment behavior can inform us about their gambling behavior. The granularity and timespan of the data provide an opportunity to apply a variety of data science and machine learning techniques.

Statement of the Problem: In recent years, regeneration of periodontal soft tissues in the reconstruction of periodontal defects and the finding of suitable membranes and graft materials for the placement of autogenous grafts have been of great interest in various studies. In this regard, the proliferation and adhesion of regenerative cells are two linchpins of the complete regenerative process. Purpose: This study aimed to evaluate the effects of low-level laser beams on the attachment and the proliferation of human gingival fibroblasts in the presence of acellular dermal matrix (ADM). Materials and Method: All the experiments were conducted compared to tissue culture plate in four groups as follows: (1) Fibroblast+ADM+laser, (2) Fibroblast+ADM+ no laser, (3) Fibroblast + laser radiation, and (4) Fibroblast+ no laser. In this experimental study, the primary attachment was evaluated by passing 8h from seeding of 5×105 gingival fibroblasts with or without a single dose (15.6 J/cm2) of laser radiation. Cell proliferation rate was also examined at 24, 48, and 72 hours after cell culture, following exposure to 5.2 J/cm2 of laser at each day of examination. Thereafter, fibroblasts were incubated under the normal culture condition (at 37°C, 5% CO2) in high glucose Dulbecco's Modified Eagle's medium (DMEM) medium supplemented with 10% fetal bovine serum, 1% glutamax, and 1% penicillin/streptomycin. Subsequently, the cellular viability was assessed on each time point using MTS calorimetric assay. The obtained data were statistically analyzed by applying ANOVA and Tukey tests. Results: There was a significant difference among the means of these four groups in terms of the proliferation of fibroblasts at 24, 48 and 72 hours (p< 0.001). Moreover, there was no significant difference among the means of two groups in terms of fibroblastic attachment in 8 hours (p< 0.2). The fibroblast group has shown the highest proliferation rate among all groups after laser radiation. Conclusion: It was indicated that the laser radiation increases the fibroblast cell proliferation. Accordingly, although this increase was higher in the fibroblast group alone compared to the fibroblasts cultured on acellular dermal matrix, the laser radiation did not significantly increase the attachment of fibroblast cells to acellular dermal matrix.

Abstract Objective To assess the influence of systemic sclerosis (SSc) on the survival rate of dental implants in SSc patients receiving implant‐supported treatments. Methods The Preferred Reporting Items for Systematic Reviews and Meta‐analysis (PRISMA) Statement and the Cochrane Collaboration's guiding principles were followed during the study's execution. The data from three databases, PubMed, Google Scholar, and Scopus, available until January 2023, were used to compile the material for our research. Only English‐language publications were submitted for this research and evaluated based on their titles, abstracts, and full texts. For performing a quality assessment, quality scores were calculated. Results The total number of patients and implants studied were 37 and 153, respectively, all having had scleroderma. The patients’ ages ranged from 28 to 77 years old, with a mean (SD) age of 58.16 (12.88). All the patients in the case reports and most in the case series study were female. The range of follow‐up duration was from 1 to 10 years. In case report studies, the survival rate was 100%; in case series, it was 89.2%. Conclusion The SSc status had no discernible impact on the implant survival rate. Implant‐based treatments in SSc patients should not worsen the overall morbidity and should not conflict with systemic treatments. Before starting implant therapy, a thorough risk assessment is essential, though.

Statement of the Problem: The castability of nonprecious gold color alloy using torch/ centrifugal and induction/vacuum-pressure casting techniques has not been studied yet. Purpose: This study was conducted to compare the castability of nickel chromium, cobalt-chromium and nonprecious gold color alloy using torch/centrifugal and induction/ vacuum-pressure casting techniques. Materials and Method: In this in vitro study, a total number of 54 identical acrylic wax meshes were prepared and divided into 6 different groups of 9 each. Group 1: nickel-chromium alloy, which was casted with induction technique. Group 2: nickel-chromium alloy was casted with centrifugal technique. Group 3: cobalt-chromium alloy was casted with induction technique. Group 4: cobalt-chromium alloy was casted with centrifugal technique. Group 5: nonprecious gold color alloy was casted with induction technique. Group 6: nonprecious gold color alloy was casted with centrifugal technique. Then castability of specimens was measured using modified Whitlock’s method. The results were analyzed using two way ANOVA and post hoc tests. Results: ANOVA test revealed no statistically significant difference between different alloys with a p Value of 0.313. Moreover, it represented no significant differences within the groups regarding alloy types and casting techniques with a p Value of 0.511 and 0.682, respectively. Conclusion: No significant difference was found in the castability value of nickel-chromium, cobalt-chromium, and nonprecious gold color alloys. In addition, the castability value of three alloys tested in this study was not different by using torch/centrifugal or induction/vacuum-pressure casting machines.

Purpose: The purpose of this in vitro investigation was to assess how implant depth could affect the three‐dimensional positional accuracy of digital impressions made from angulated implants. Materials and Methods: Four modified maxillary models were printed and divided into four study groups. In each model, two angulated implant analogs were placed at the sites of the first premolar and first molar at four different depths of 1 (G1), 2 (G2), 3 (G3), and 4 (G4) mm from the models' edentate area. Scan bodies were connected to the analogs, and one operator made 10 full‐arch scans for each master model using an intraoral scanner. Afterward, the marginal gingival part of all models was removed, and digital scans were performed for each model using a laboratory scanner to achieve a reference STL file as the control group. One‐way ANOVA and Leven's tests were used to measure and compare the 3D distance deviations across research groups after the superimposing test and control scans. Results: A significant difference between research groups was revealed by trueness and precision analysis (p < 0.001). The trueness and precision results obtained for G1 and G4 were significantly better than those for G2 and G3 (p < 0.05). Conclusion: This study demonstrated that implant depth could affect the digital implant impressions' 3D positional accuracy. [ABSTRACT FROM AUTHOR]

This study develops a research model to explain the acceptance of social banking. In order to find the antecedents of social banking intention, a meta-combination has been used. The results of a systematic review of the last decade of social commerce acceptance studies and the use of fuzzy Delphi and fuzzy DEMATEL methods led to the development of the model. The obtained model was investigated by the partial least squares method in the statistical community of banking customers. Then, by analyzing intermediate variables, the final results were obtained. Based on the obtained model, three types of effects were investigated: direct effects with the presence of the mediating factor or factors, direct effects by removing the mediating factor or factors, and indirect effect by considering the mediating factor or factors. The results show that except for privacy considerations, other factors including trust, attitude, social support, social commerce constructs, word of mouth, social influence, customer social responsibility and perceived usefulness have a direct and indirect effect on social banking intention. The privacy consideration factor has only indirect effect on social banking intention through the full mediation of the trust factor. Except for the effect of factors on the intention of social banking, based on the model obtained from meta-combination, the effect of factors on each other was also investigated and some were confirmed. This research introduces a socio-technical innovation by combining the application of social banking with a social commerce platform and presents a comprehensive model of the willingness to accept this innovation. [ABSTRACT FROM AUTHOR]