Autism spectrum disorder (ASD) is a category of neurodevelopmental disorders characterized by social and communication impairment and restricted or repetitive behaviors. The pathogenesis of ASD is not well understood and it’s proved that... more
Autism spectrum disorder (ASD) is a category of neurodevelopmental disorders characterized by social and communication impairment and restricted or repetitive behaviors. The pathogenesis of ASD is not well understood and it’s proved that genetic is strongly associated with ASD in 5 to 25% of cases. Inborn errors of metabolism(IEMs), defined by a vast array of disorders that are caused by specific enzyme deficiencies or transport protein defects, is as frequent as in 1 in 800 births. IEMs can manifest several psychiatric or behavioral manifestations such as self-injuriesincreased activity and aggression, personality changes, paranoia, depression, catatonia, and psychosis. IEMs underlie autistic symptoms in less than 5% of cases. The literature on the association between ASD and respiratory chain abnormalities is growing, including complex III/IV deficiency and MELAS (mitochondrial encephalopathy, lactic acidosis, and stroke-like episodes) syndrome, as well as glucose-6-phosphate dehy...
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Objective: Neonatal seizures are common, difficult to diagnose and treat, and associated with a great mortality rate and long-term risk of neurodevelopmental impairments. We aimed to determine the etiology, clinical presentation, and... more
Objective: Neonatal seizures are common, difficult to diagnose and treat, and associated with a great mortality rate and long-term risk of neurodevelopmental impairments. We aimed to determine the etiology, clinical presentation, and neurodevelopmental outcome of neonatal seizures. Materials and Methods: In this cross-sectional study, 88 neonates, aged < 28 days, admitted to Mofid Children’s Hospital, Tehran, Iran, from September 2011 to 2013 with the initial diagnosis of seizure were enrolled by convenient sampling method. Data, including age, gestational age, birth weight, Apgar of the fifth minute, neonatal intensive care unit (NICU) admission, family history, type, cause, and age of seizure, EEG and paraclinic findings, anticonvulsant used for treatment, neurodevelopmental status, and the final outcome, were collected from medical records and the missed cases were completed by phone calls. The frequency and association of variables were analyzed using SPSS software. Results: ...
Research Interests: Pediatrics and Medicine
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Epilepsy might have adverse effect on bone density due to underlying disease, drugs, vitamin D deficiency, immobilization and malnutrition. We investigated the bone mineral density in ambulatory vitamin-D supplemented children with... more
Epilepsy might have adverse effect on bone density due to underlying disease, drugs, vitamin D deficiency, immobilization and malnutrition. We investigated the bone mineral density in ambulatory vitamin-D supplemented children with epilepsy. This case-control study was conducted on 90 epileptic children aged 11.4 ± 3.3 years, and age and gender matched controls in pediatric neurology clinics of Shiraz, in Southern Iran, 2016. Anthropometric measurements, puberty, sun exposure, physical activity and biochemical variables were assessed. Bone mineral density was evaluated by dual-energy X-ray absorptiometry method. Data were analyzed by SPSS.v21. Prevalence of low bone mass in femur was more in patients (27%) than the controls (9%) (P value = 0.002). Age, weight Z score and height Z score were the most significant associated factors on lumbar BMD, BMAD, and femur BMD. Seizure duration and how it responded to anticonvulsants were the most associated factors with both lumbar and femur bo...
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Type II or juvenile GM1-gangliosidosis is an autosomal recessive lysosomal storage disorder, which is clinically distinct from infantile form of the disease by the lack of characteristic cherry-red spot and hepatosplenomegaly. The disease... more
Type II or juvenile GM1-gangliosidosis is an autosomal recessive lysosomal storage disorder, which is clinically distinct from infantile form of the disease by the lack of characteristic cherry-red spot and hepatosplenomegaly. The disease is characterized by slowly progressive neurodegeneration and mild skeletal changes. Due to the later age of onset and uncharacteristic presentation, diagnosis is frequently puzzled with other ataxic and purely neurological disorders. Up to now, 3-4 types of GM1-gangliosidosis have been reported and among them type I is the most common phenotype with the age of onset around 6 months. Various forms of GM1-gangliosidosis are caused by GLB1 gene mutations but severity of the disease and age of onset are directly related to the position and the nature of deleterious mutations. However, due to its unique genetic cause and overlapping clinical features, some researchers believe that GM1 gangliosidosis represents an overlapped disease spectrum instead of f...
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Objective Muscle biopsy is a very important diagnostic test in the investigation of a child with suspected neuromuscular disorder. The goal of this study was to review and evaluate pediatric muscle biopsies during a 2-year period with... more
Objective Muscle biopsy is a very important diagnostic test in the investigation of a child with suspected neuromuscular disorder. The goal of this study was to review and evaluate pediatric muscle biopsies during a 2-year period with focus on histopathology diagnosis and correlations with other paraclinic studies. Materials & Methods We investigated 100 muscle biopsies belonging to patients with clinical impression of neuromuscular disorder. These patients have been visited consecutively by pediatric neurologists during 2010 to 2012. Samples were investigated by standard enzyme histochemical and immunohistochemical techniques. Result Sixty-nine (69%) males and 39 (39%) females with a mean age of 5.7 years were evaluated. Major pathologic diagnoses were Muscular dystrophy (48 cases), Neurogenic atrophy (18 cases), nonspecific myopathic atrophy (12cases), congenital myopathy (6 cases), storage myopathies (4 cases) and in 6 cases there was no specific histochemical pathologic finding....
Artificial Intelligence (AI) is a tool that augments various facets of decision making. This disruptive technology is helping humans perform better and faster with accuracy (Grigsby 2018). There are tasks where AI decides in real-time... more
Artificial Intelligence (AI) is a tool that augments various facets of decision making. This disruptive technology is helping humans perform better and faster with accuracy (Grigsby 2018). There are tasks where AI decides in real-time without human intervention. For example, AI can approve or decline a credit card application without any human intervention. On the other hand, there are tasks where both AI and human reasoning is required to make the decision. For instance, automated employee selection decision requires a higher level of human involvement. Interaction between humans and machines is required in such decisions. Grigsby (2018) posits that the interaction becomes effective when the machine understands human and human understands machine. This interplay is called human-machine symbiosis that merges the best of the human with the best of the machine. The human decision-makers need to understand how the machine is reaching to a specific prediction. One tool that facilitates ...
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Decision support systems (DSS) are becoming increasingly more critical to the daily operation of organizations. Data warehousing, an integral part of this, provides an infrastructure that enables businesses to extract, cleanse, and store... more
Decision support systems (DSS) are becoming increasingly more critical to the daily operation of organizations. Data warehousing, an integral part of this, provides an infrastructure that enables businesses to extract, cleanse, and store vast amounts of data. The basic purpose of a data warehouse is to empower the knowledge workers with information that allows them to make decisions based on a solid foundation of fact. However, only a fraction of the needed information exists on computers; the vast majority of a firm's intellectual assets exist as knowledge in the minds of its employees. What is needed is a new generation of knowledge-enabled systems that provides the infrastructure needed to capture, cleanse, store, organize, leverage, and disseminate not only data and information but also the knowledge of the firm. The purpose of this paper is to propose, as an extension to the data warehouse model, a knowledge warehouse (KW) architecture that will not only facilitate the cap...
Research Interests: Computer Science, Knowledge Management, Decision Making, Data Mining, Decision Support Systems, and 12 moreData Warehousing, Data Warehouse, Decision support system, Mathematical Sciences, Artificial Intelligent, Intelligence Analysis, Decision Support, MENTAL MODEL, Model Analysis, Knowledge Worker, Decision Maker, and Knowledge Warehouse
Asset allocation decision involves bringing together estimates of current capital conditions and investor considerations in order to determine the asset allocation mix that will provide maximum utility to the investor. This can be... more
Asset allocation decision involves bringing together estimates of current capital conditions and investor considerations in order to determine the asset allocation mix that will provide maximum utility to the investor. This can be accomplished by either maximizing return for a given risk level or by minimizing the risk for a given return objective. The purpose of this study is to develop a prototype decision support system that will provide a model for an investor to use in determining the optimal asset allocation for an investment portfolio at a particular risk level. This DSS consisted of five primary components. In this paper, we limited our discussion to the neural network (NN) component. The results of NN model can then be used as input to a quadratic programming model to determine the optimal asset allocation.
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Purpose Human genomic research (HGR) demands very large pools of data to generate meaningful inference. Yet, the sharing of one’s genetic data for research is a voluntary act. The collection of data sufficient to fuel rapid advancement is... more
Purpose Human genomic research (HGR) demands very large pools of data to generate meaningful inference. Yet, the sharing of one’s genetic data for research is a voluntary act. The collection of data sufficient to fuel rapid advancement is contingent on individuals’ willingness to share. Privacy risks associated with sharing this unique and intensely personal data are significant. Genetic data are an unambiguous identifier. Public linkage of donor to their genetic data could reveal predisposition to diseases, behaviors, paternity, heredity, intelligence, etc. The purpose of this paper is to understand individuals’ willingness to volunteer their private information in this high-risk/high-reward context. Design/methodology/approach The authors collect survey data from 273 respondents and use structural equation modeling techniques to analyze responses. Findings The authors find statistical support for our theorization. They find that while heightened awareness of the benefits and risks...
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BACKGROUND Nowadays, the importance of the treatment of neurological diseases in children is well known to everybody. Currently, there are only 60 neurological specialists in Iran. Due to the lack of necessary equipment, we need to send... more
BACKGROUND Nowadays, the importance of the treatment of neurological diseases in children is well known to everybody. Currently, there are only 60 neurological specialists in Iran. Due to the lack of necessary equipment, we need to send lab. Samples to the countries which have advanced laboratories for diagnosis. Therefore, a diagnostic expert system can significantly prevent deaths of children. In this paper, we design and implement a rule-based expert system in CLIPS language using certainty factors and forward chaining inference in order to help physicians. Naïve Bayes and Logistic algorithm and the experiences of the expert person have been considered to estimate the certainty factors. The accuracy of this system is 94% for detecting diseases. Performances of these two systems are compared and the results confirm that the certainty factors that are specified by the expert physician have 6.2 percent prediction improvement over the one with Naïve Bayes. It is worth noting that an ...
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... Hospital CEO and CIO Perspectives Tim Jacks University of North Carolina at Greensboro, tfjacks@uncg.edu ... Tim Jacks University of North Carolina at Greensboro Bryan School of Business and Economics Greensboro, NC 27402... more
... Hospital CEO and CIO Perspectives Tim Jacks University of North Carolina at Greensboro, tfjacks@uncg.edu ... Tim Jacks University of North Carolina at Greensboro Bryan School of Business and Economics Greensboro, NC 27402 tfjacks@uncg.edu ABSTRACT ...
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Techniques and Applications for Advanced Information Privacy and Security: Emerging Organizational, Ethical, and Human Issues (9781605662107): Hamid Nemati: Books.
Technology is important to software development projects; however, virtual projects are more dependent on technology than traditional co-located projects due to communication and collaboration needs. Two research studies in this chapter... more
Technology is important to software development projects; however, virtual projects are more dependent on technology than traditional co-located projects due to communication and collaboration needs. Two research studies in this chapter sought to determine whether seven technology-related risks pose a greater danger to virtual projects than traditional projects and to determine if technology-related risks have a high impact on project success. Results indicate that two technology-related risks exhibited a significantly greater impact on virtual IT projects: (1) inexperience with the company and its processes and (2) inadequate technical resources. Project managers need to be aware that traditional project risks can have a greater impact on virtual projects. Additionally, technology-related risks in the second study were found to have low levels of impact on project success. Results indicate in cases where a majority of team members are experienced with the application, development t...
Managed care, Medicare reform and skyrocketing costs have forced health care providers to take a closer look IT and how it can help in providing a competitive advantage. Prior to the 1990s, most computer systems designed for health care... more
Managed care, Medicare reform and skyrocketing costs have forced health care providers to take a closer look IT and how it can help in providing a competitive advantage. Prior to the 1990s, most computer systems designed for health care were mission-specific. By the early to mid 1990s, many hospitals had begun to search the market for tools to integrate their aging transactional systems, since an integrated environment could provide more business-oriented functions such as decision support. However, for many medical centers achieving a seamless integration proved to be a daunting task. Enterprise Application Integration (EAI) was a response to decades of organizations creating distributed stand-alone applications resulting in an overabundance of platforms and development approaches. Enterprise Application Integration (EAI) techniques provided the interface layer to allow the systems to act as one seamless whole. This case provides an overview of EAI and examines the technical and or...
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WATSON ET AL. the findings add to the body of knowledge about the benefits and assessment of decision support applications. The study contained three phases. First, the relevant literature was reviewed. Next, a questionnaire solicited... more
WATSON ET AL. the findings add to the body of knowledge about the benefits and assessment of decision support applications. The study contained three phases. First, the relevant literature was reviewed. Next, a questionnaire solicited data from 72 organizations with EISs. ...
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Dramatic advances in Information Technology (IT), telecommunications and transportation have made it possible for organizations to more effectively manage their globally dispersed assets. One such organizational asset that has emerged as... more
Dramatic advances in Information Technology (IT), telecommunications and transportation have made it possible for organizations to more effectively manage their globally dispersed assets. One such organizational asset that has emerged as vital to success in today's global economy is knowledge. Global knowledge management has emerged as a discipline that focuses on the study of managing this organizational asset from a global perspective. In this paper, a process oriented conceptual framework for studying factors that influence knowledge management processes that impact the successful outcome of global knowledge management programs is presented. This framework is intended to present an agenda for and to suggest avenues for conducting further research in global knowledge management.
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The Chief Knowledge Officer (CKO) is a recent phenomena created to lead knowledge management activities in an organization. In this paper, we examine the nature of knowledge management and the role of the CKO. We then examine a key... more
The Chief Knowledge Officer (CKO) is a recent phenomena created to lead knowledge management activities in an organization. In this paper, we examine the nature of knowledge management and the role of the CKO. We then examine a key bottleneck to effective knowledge management and suggest using information exchange protocols to enable more efficient means of capturing, storing and disseminating
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JURGEN KLUGE WOLFRAM STE1N THOMAS L1GHT KNOWLEDGE UNPLUGGED The McKinsey &amp; Company global survey on knowledge management ... KNOWLEDGE UNPLUGGED s One JYUS-2RR-37UL ... The McKinsey&amp;Company global survey on knowledge ...
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In this paper a new approach based on using reference validation mechanism to improve system reliability is proposed. Since device drivers are the main cause of system failure, they are chosen as case study. Thus by improving driver... more
In this paper a new approach based on using reference validation mechanism to improve system reliability is proposed. Since device drivers are the main cause of system failure, they are chosen as case study. Thus by improving driver reliability, security of the whole system is improved. To monitor driver functionality and also manage kernel memory, lightweight hypervisor layer is used, and reference validation mechanism is implemented in this layer.