List of Articles Diagnosis

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  1 - Early diagnosis, an important success factor for treatment and control of lameness in cow
  Mohammad Reza  Aghchelou
  Lameness is one of the cases of culling of cows; also it causes weight and production loss because of pain and has a lot of therapeutic cost. In a study, the prevalence of lameness was estimated on average 2.2% in dairy herds by farmers. After more objective locomotion More

  Lameness is one of the cases of culling of cows; also it causes weight and production loss because of pain and has a lot of therapeutic cost. In a study, the prevalence of lameness was estimated on average 2.2% in dairy herds by farmers. After more objective locomotion scoring, the prevalence of lameness in same dairy herds was on average 8.1%. This matter shows importance of correct lameness diagnosis. The aim of this article is review of practical ways to early diagnosis of lameness in cows. Early diagnosis of lameness in cows is a very important matter because a cow that shows sever lameness have major problems and easily recognizable but a cow with lesser injury have a milder lameness and diagnosis is more difficult. In case of timely detection there is more success in treatment because of less injury. The best time for lameness diagnosis is the cows are monitored when they go to the milking parlor and return. The studies were shown usually farmers identify one of the four lamb cows because they spend a little time for this task, also the gait of cows change on different floors, like wet concrete, although it is difficult to diagnose the sound gait of mild lameness in many cases. In dairy cattle farms in addition to Body Condition Score which is done regularly, Locomotion Scoring is done regularly to allow early diagnosis of lameness. Manuscript profile
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  2 - Laboratory diagnosis of liver disease in small animal practice
  Saba Ahmadi Morteza  Hasanabadi Mehrdad Mohri
  Today’s accurate diagnosis of disease requires using of different diagnostic and paraclinical methods. Diagnosis of liver disease was a serious challenge both in medicine and veterinary medicine from the past. Clinical biochemistry is one of the main parts of diagnostic More

  Today’s accurate diagnosis of disease requires using of different diagnostic and paraclinical methods. Diagnosis of liver disease was a serious challenge both in medicine and veterinary medicine from the past. Clinical biochemistry is one of the main parts of diagnostic methods. Liver function is evaluated by measuring the variables such as excreting and metabolic functions and enzymes. Because of large functional reserve of liver, symptoms of liver disease appear after loss of huge number of hepatocytes, therefore using of laboratory methods with high specificity and sensitivity could be helpful. None of existing laboratory methods has all characteristics mentioned above. It seems that using different laboratory methods of liver function beside other diagnostic methods such as sonography, cytology and … could be an appropriate approach for reaching a diagnosis of hepatobiliary disease. Current article reviews the perfect utility of liver function tests for general diagnosis of liver disease. Manuscript profile
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  3 - Thyroid glands: diseases and laboratory diagnosis in small animals
  Maedeh Ghari Niloufar  Abedi Mohammad Heidarpour
  Thyroid diseases are among the most common endocrine disorders in small animals. Hypothyroidism is a common disease in dogs, but spontaneous hypothyroidism is very rare in adult cats. Hyperthyroidism is one of the most common diseases of cats and is uncommon in dogs. Hy More

  Thyroid diseases are among the most common endocrine disorders in small animals. Hypothyroidism is a common disease in dogs, but spontaneous hypothyroidism is very rare in adult cats. Hyperthyroidism is one of the most common diseases of cats and is uncommon in dogs. Hypothyroidism is primarily a disease of middle aged to old dogs with clinical signs including weight gain to obesity, lethargy, dull haircoat, cold intolerance detected as heat-seeking behavior, decreased libido, reproductive failure, alopecia with no pruritus, and hyperpigmentation in areas of alopecia. Laboratory abnormalities may include mild anemia, increased liver enzymes and increases in muscle enzymes (CPK). Hypertriglyceridemia and hyperlipidemia occurs in a majority of cases. Hypercholesterolemia is seen in approximately 80% of hypothyroid dogs and a serum cholesterol concentration greater than 500 mg/dL is very suggestive of hypothyroidism. Basal concentration of total T4 should be the initial endocrine diagnostic test utilized when hypothyroidism is suspected. However, approximately 20% of dogs without hypothyroidism may also have decreased TT4. In addition, total T4 may be in the normal range in about 10% of dogs with hypothyroidism. Therefore, it is important to measure other endocrine tests (free T4 and TSH concentrations). The challenging cases may require more intensive diagnostic procedures such as repeat testing in 4 weeks and/or stimulation tests (TSH or TRH). Hyperthyroidism is the most common endocrine disease of cats. Hyperactivity, weight loss, and polyphagia in a middle aged to old cat are the most frequent clinical problems. Increase in one or more liver enzymes, azotemia, hyperphosphatemia and erythrocytosis are the most consistent lab abnormalities of the hyperthyroid cats. If a cat has some of the physical and clinical laboratory abnormalities characteristic of hyperthyroidism, and an increased TT4 concentration, it is diagnostic of hyperthyroidism and fT4 or any additional tests are not needed. When faced with conflicting clinical signs and lab data while trying to confirm a diagnosis of hyperthyroidism, other endocrine tests such as repeating total T4 in 1-2 weeks, free T4 concentration, T3 suppression test and/or stimulation tests (TSH or TRH) should be considered. Manuscript profile
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  4 - Design and Implementation of a Generator Fault Diagnosis Structure
  Mohammad Zare Ernani A. Akbari
  Generators failure and generators break down can cause high financial consequences. For this reason, several concepts for the condition monitoring of generators have been developed. The purpose of this article is to collect significant generator data in order to form a More

  Generators failure and generators break down can cause high financial consequences. For this reason, several concepts for the condition monitoring of generators have been developed. The purpose of this article is to collect significant generator data in order to form a comprehensive analysis by analytical hierarchy process (AHP) method. The AHP is a multi-criteria analysis approach, where is used in order to combine the results of online diagnostic methods and draw conclusions on the most probable failure. A fault diagnosis structure has been designed and several comparison charts have been generated. This trend led to the running generator probable failure, to be revealed. In this paper the circumstances of design and implementation of the LEMS structure with two simulation results are described. Manuscript profile
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  5 - Fault Tolerant Control of DFIG Wind Turbine Back-to-Back Converter Based on Developed Sliding Mode Method
  mehrnoosh Kamarzarrin Mohammad Hossein Refan پرویز امیری
  Fault detection and tolerable control of wind turbine increases its reliability and availability. One of the electrical components of the wind turbine with a high error rate is the power converter. In this paper, a new method for fault tolerant (FT) control of the wind More

  Fault detection and tolerable control of wind turbine increases its reliability and availability. One of the electrical components of the wind turbine with a high error rate is the power converter. In this paper, a new method for fault tolerant (FT) control of the wind turbine back-to-back converter based on Dual Feed Induction Generator (DFIG) is presented. When a open circuit fault occurs in each of the IGBTs of the wind turbine converter, the performance of the converter is distorted and part of the current signal of each leg of the converter is lost. The classical controller cannot completely correct this change in current behavior, and for this reason, it has an abnormal performance. As a result, power generation will be accompanied by many fluctuations. In order to compensate, a new method based on sliding mode control is presented in this article. First, when an error occurs, the fault detection system identifies the faulty leg, and after reconfiguring the hardware, the proposed control system based on sliding mode control replaces the classic control system and switching operation. The fault detection method presented in this article is based on artificial neural network and it was developed based on matching with the functional parameters of the wind turbine. The proposed FT method is evaluated using a hardware simulator in a laboratory loop with a 90 kW DFIG generator. The experimental results show the proper accuracy of the fault detection method and on the other hand, the proposed FT method was able to compensate the open circuit fault of the IGBT. Manuscript profile
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  6 - Prayer therapy: using verses of Fatiha al-Kitab, Qadr and Towhid surahs on patients suffering from Tunnel Karp syndrome
  ليلا  اتفاق
  Objective(s): Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy with annual cost of about one billion. The purpose of this study is to evaluate the effectiveness of intercessory prayer in the treatment of carpal tunnel syndrome. Methods: In this cro More

  Objective(s): Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy with annual cost of about one billion. The purpose of this study is to evaluate the effectiveness of intercessory prayer in the treatment of carpal tunnel syndrome. Methods: In this cross sectional interventional study, patients with Electro physiological confirmed diagnosis of CTS with inclusion criteria’s during autumn 2005 underwent intercessory prayer. They were evaluated for subjective symptoms with (VAS 10mm), objective signs and electro diagnostic parameters before and 6 weeks after a three-week intercessory prayer. Results: 12 patients with 23 hands were enrolled. At 6 weeks after the end of therapy, subjective symptoms, phalen, reverse phalen and Electro diagnostic findings (Median DSL &DML) show significant changes (CI 95% p valve < 0.05). In tinel test, and Flick Sign, there were no significant changes (p value>0.05). About 47.8 % of cases cured completely and other changes (p value > 0.05). Changed so much but there were no significant changes in CTS grades in Chi square test, it may be due to the patients’ low count. 74.99% of patients were satisfied or highly satisfied with the therapy. Conclusion: We recommended that intercessory prayer (IP) should be considered in the employed as a cost - effective, non-invasive, low side effect treatment for carpal tunnel syndrome. It deserves to be studied more with enough patient sampling. Manuscript profile
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  7 - Design and Collection of Speech Data as the First Step of Localization the Intelligent Diagnosis of Autism in Iranian Children
  Maryam Alizadeh Shima tabibian
  Autism Spectrum Disorder is a type of disorder in which, the patients suffer from a developmental disorder that manifests itself by symptoms such as inability to social communication. Thus, the most apparent sign of autism is a speech disorder. The first part of this pa More

  Autism Spectrum Disorder is a type of disorder in which, the patients suffer from a developmental disorder that manifests itself by symptoms such as inability to social communication. Thus, the most apparent sign of autism is a speech disorder. The first part of this paper reviews research studies conducted to automatically diagnose autism based on speech processing methods. According to our review, the main speech processing approaches for diagnosing autism can be divided into two groups. The first group detects individuals with autism by processing their answers or feelings in response to questions or stories. The second group distinguishes people with autism from healthy people because of the accuracy of recognizing their spoken utterances based on automatic speech recognition systems. Despite much research being conducted outside Iran, few studies have been conducted in Iran. The most important reason for this is the lack of rich data that meet the needs of autism diagnosis based on the speech processing of suspected people. In the second part of the paper, we discuss the process of designing, collecting, and evaluating a speaker-independent dataset for autism diagnosis in Iranian children as the first step in the localization of the mentioned field. Manuscript profile
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  8 - An Overview of Artificial Intelligence Applications in Prediction and Diagnosis of Diseases Occurrence in Veterinary Medicine: Challenges and Techniques
  Mahdi Bashizadeh Parham Soufizadeh Mahdi Zamiri Ayda Lamei Matin Sotoudehnejad Mahsa Daneshmand Melika Ghodrati Erika Isavi Hesameddin Akbarein
  https://doi.org/10.61186/eltiamj.10.2.7
  Early diagnosis of diseases is one of the main goals of health and wellness centers. Timely diagnosis can reduce the potential damage of diseases. The importance of this issue in veterinary medicine multiplies due to its combination with economic goals. Therefore, a pre More

  Early diagnosis of diseases is one of the main goals of health and wellness centers. Timely diagnosis can reduce the potential damage of diseases. The importance of this issue in veterinary medicine multiplies due to its combination with economic goals. Therefore, a predictive approach is necessary for early diagnosis of diseases. This approach should be evidence-based and highly accurate. It should also be economically efficient. Artificial intelligence is the simulation of human intelligence and judgment by a computer or a robot that is programmed or trained to perform tasks that normally need human abilities. The emergence of artificial intelligence and machine learning techniques in today's world has improved the existing functions in health care systems. So that with the application of this technology, a significant progress has been made in the procedures of event prediction and disease diagnosis, management and health at the macro level, etc. Furthermore, the scope of diagnosable diseases is extensive, encompassing any ailment for which relevant data can be processed by artificial intelligence algorithms. The trained model has the capability to diagnose a wide range of diseases, with accuracy contingent upon factors such as disease indicators, collected data, and other pertinent variables. In this review article, the most important applications of artificial intelligence in veterinary medicine will be mentioned, and in general, these applications will be examined in various fields such as diagnosis of common diseases, differential diagnosis, prediction of disease occurrence, veterinary diagnostic imaging techniques, veterinary clinical pathology, etc. In addition, the challenges in this field will also be mentioned. This article is a review of recent studies in this fiel. Manuscript profile