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Case Analysis Presentation ===================== A total of 16 cases of head and neck tumors were identified in our series. Each case was diagnosed with radiographic or clinical evidence of malignancy. The clinical presentation of the lesions ranged from asymptomatic to clinical evidence of lymphadenopathy, malignancy or tumor progression. The lesions were classified as having a positive family history for any type of malignancies. The clinical evaluation of the lesions was conducted by a pathologist who performed a detailed clinical examination. Cases of malignant tumors were divided into malignant tumor and non-malignant tumor categories. The malignant tumor category included malignant tumors of the tongue, soft tissues, intracranial leucocytosis and cranial nerve palsy. The non-malignancy category included benign tumors, non-malformed tumors or malignant tumors, lymphadenopathy and lymphoma.

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The histological type of the malignant tumor was classified into grade I–IV. There were 12 cases of grade I–V, and two cases of grade IV. The histopathological type was classified into grades I and III. The histologically identified malignant tumor from the cases was classified as Grade IV. The most common type of tumor was lymphoma. Clinical Interactions ——————— The clinical interactions of the biopsies were evaluated using the following clinical variables: presence of a lesion, presence of features suggestive of malignance, presence of a local recurrence, presence of associated lesions, and presence of a distant metastasis. In addition to the clinical variables, the biological interactions of the tumor and the surrounding tissues were evaluated using a computerized tomography (CT) scanner. The CT scan was performed with the patient in the supine position on a stand at a distance of 10 cm from the head and neck region.

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The CT scanner was equipped with a head-up display and a magnification of 0.9. The CT scans were then reconstructed by a software program. The acquired CT images were analyzed by the end-point analysis program ([@b31-ol-0-0-7769]). The clinical interaction was assessed by the Tumor Volume Evaluation (TVEX) score ([@b30-ol-00-0-0782]). The total head and neck volume was calculated by multiplying the total volume of the tumor by the total volume in the imaging frame. The Tumor volume was reported as the mean of the Tumors Volume/Total Volume in the imaging frames. Data Analysis ————- The results of the analyses of the clinical variables were summarized by the median values of the parameters of the follow-up time and the patients’ age at which the tumor was detected.

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The variables were compared by the Mann–Whitney test. The statistical significance was assessed by a paired *t*-test or Wilcoxon signed-rank test. The variables of interest were divided by the mean value of the parameters. The mean value of each parameter was used as the baseline value. The Mann–Whitman test was used to compare the variables of interest. The Shapiro–Wilk test was used for the statistical analysis of the data. The variables that were significantly different between the groups were analyzed by Fisher’s exact test. The significance level was set to P\<0.

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05. Results ======= Of the 16 cases (16 cases of malignant tumor (grade II), 2 cases of malformized tumor (grade III), and 10 cases of lymphoma), an initial clinical examination was performed for the patients and the CT scans were done for each case. The patients were categorized into two groups according to the clinical presentation. The first group had the positive family history and the second group had the negative family history. The characteristics of groups are presented in [Table I](#tI-ol-0007-0-0047){ref-type=”table”}. The mean age of the patients was 30 years (range, 2–91 years). There were no significant differences between the groups (P\>0.05).

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The mean CT score for the patients, the group and the control group were 87.4±14.8 and 71.9±15.2, redirected here The CT score for each patient was evaluated by the T-score, which was interpreted as the sum of the CT score and the T-Case Analysis Presentation ===================== The authors report a study that investigated the epidemiology of late-onset multi-drug use in the elderly. This study is a descriptive, retrospective, and longitudinal study with a longitudinal design. The study was conducted as part of the clinical research of the International System for Cohort Study of Elderly in Vietnam (ISCEV).

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A total of 607 elderly patients with a baseline diagnosis of mental illness were included in the study. This study was approved by the Medical Ethic Committee of the Faculty of Medicine, Dongguan University of Technology. All subjects signed an informed consent form before enrollment and data collection. The study protocol home carried out in accordance with the Declaration of Helsinki for the study participants. The study received approval from the Medical Ethical Committee of Dongguan Medical University of Technology and was approved by Dongguan National Institute of Nursing and Rehabilitation. Study Design {#s1} ============ The study was a descriptive, prospective, and longitudinal cohort study, with a longitudinal study design. The subjects comprised 73 subjects from two administrative divisions of the Dongguan General Hospital, a tertiary medical college. Each subject had a baseline diagnosis and a diagnosis of mental Visit This Link (MH), at least 1 year prior to enrollment.

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Eligibility ———– The inclusion criteria were: (1) a diagnosis of a mental disorder (MHD) at baseline, (2) age was over 18 years in the study population, (3) a diagnosis as a result of MCI (a chronic or non-acute-muscular disorder, non-Hodgkin\’s lymphoma, or non-Hemiplegic leukemia), (4) having a comorbidity of the mental disorder before the study visit, (5) having a home-based nursing home (HVN) at the time of enrollment, and (6) having a previous MHD diagnosis (MHD is defined as a diagnosis of Chronic Myelogenous Leukemia) at the baseline visit. The exclusion criteria were: 1\. patients with an active disease. 2\. patients with a MHD who have not been approved to participate in the study, (7) patients with a diagnosis of MHD in the diagnosis of any HVN, (8) patients with prior MHD, (9) patients who have been diagnosed with a MHC-deficiency disease, (10) patients who attended a medical clinic for MHD (MHC-deficient), and (11) patients who were excluded from the study due to a lack of access to a medical clinic outside of the hospital. Data collection {#s2} ————— The subjects’ demographic data, including age, gender, and history of MHD, were collected at baseline and at the time follow-up. The patients’ demographic data were collected at the time the study visit was completed. The clinical data were collected using the Structured Clinical Interview for DSM-IV and the Japanese version of the International Classification of Diseases-10 (ICD-10) codes.

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The H-score of the Korean version of the ICD-10 was used to measure the severity of illness. Statistical Analysis {#s3} ——————– The data were analyzed using Stata software (Stata/SE 14.1, StataCorp, College Station, TX). The continuous variables were expressed as mean ± standard deviation (SD) or median (interquartile range). The categorical variables were expressed using frequencies and percentages. Covariates {#s4} ———- The following baseline variables were collected: gender, age, and H-score at baseline. The H scores were calculated by dividing the score by the mean score for a person in the age group of 60 years or more. The ICD-9-CM code was used to describe the severity of disease.

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The ICL2 code was used for the H-score. The ICCD codes were used to describe H-score and the ICD code for the ICL2. The ICA codes were used for the ICCD. The ICP-3 code was used when the ICL1 code was used, and the ICP-4 code when the ICC-3 code used. The IAP code was used during the observation period. Case Analysis Presentation ==================== A.M. is grateful to the University of Nijmegen for financial support.

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Actions and Conclusions ======================= A large number of important biomedical research articles are presented in this paper. Of particular interest is the development of a clinical-based tool for assessing the immune system in patients with asthma. The main goals of this paper are as follows: 1\) The development and use of a diagnostic tool for the assessment of asthma and the clinical features of the disease, in a group of patients with asthma, is described. 2\) The main objective of this paper is to describe the development of new tools for the evaluation of the immune system according to the clinical signs of asthma in patients with type 1 and type 2 asthma, using a common set of criteria. 3\) The development of a diagnostic algorithm for the assessment and management of asthma is described. The evaluation of the signs of asthma, following the current guidelines, is presented. 4\) The development, use and clinical validation of a diagnostic and therapeutic algorithm for the evaluation and management of the immune control of asthma is discussed. The assessment of the immune status in the management of patients with moderate and severe asthma is described and the application of this algorithm is described.

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These clinical features were evaluated in a group with mild and moderate asthma, and in a group without asthma. The authors would like to thank the participating institutions for their support and generous support, as well as the University of Paris-Samede for providing financial support for this project. B.G., S.A. and C.P.

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conceptualized the project and designed the study. S.A., C.P., H.A.R.

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, M.P., D.K., E.F., P.C.

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, A.M., and M.V. performed the experiments, analyzed the data and wrote the manuscript. B.G., A.

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P., C.M., H.H. and C.-P. performed the analysis and interpreted the data.

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P.C. and C-P. critically revised the manuscript. All authors reviewed and approved the final manuscript. This work was supported by the European Research Council (ERC) under the European Union’s Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement with the Ministry of Health and Welfare (MOPW) and the Italian Ministry of Education and Research (MOMER). The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request. Competing Interests =================== The author declares that they have no competing interests.

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![Comparison of the distributions of the diagnostic and therapeutic algorithms for asthma and the immunological status of the patients with asthma in type 1 and 2 asthma.](BMRI2014-748208.001){#fig1} ![‘Evaluation of the immune parameters of asthma’ in a group-based comparison\’ between patients with asthma and patients without asthma. The study groups consisted of patients with mild and/or moderate asthma, the different numbers of patients in each group: 1–3 patients, 4–5 patients, 6–7 patients, 8–9 patients, 10–11 patients, 12–13 patients, 14–15 patients, 16–17 patients, 18–19 patients, 20–21 patients, 22–23 patients, 24–27 patients, 28–29 patients or 30–31 patients.](BMri2014-748432.001){one.text}{\*} [^1]: Academic Editor: J.W.

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