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1.  Iatrogenic ulnar nerve injury resulting from a venous cut down procedure 
BMJ Case Reports  2008;2008:bcr0620080264.
We present a case of an iatrogenic left ulnar nerve injury caused during the basilic vein cut down in a 25-year-old woman presenting with a ruptured ectopic pregnancy and requiring an emergency laparotomy. Two months after her discharge from the hospital, the patient presented to the hand surgery clinic with a weak grip strength and paraesthesias in the left hand, diagnosed to be resulting from a deficient ulnar nerve function. Surgical exploration of the nerve showed a complete section of the nerve. End to end repair and anterior transposition of the nerve was done. At 10 months follow up, the patient showed recovery in the flexor digitorum profundus and flexor carpi ulnaris, thus partially improving the grip strength. The patient was still under follow-up at the time this report was prepared.
doi:10.1136/bcr.06.2008.0264
PMCID: PMC3124750  PMID: 21716827
2.  Impact of primary headaches on subjective sleep parameters among adolescents 
Context:
Headache patients commonly report sleep disruption and sleep disorders. Available literature suggests that the sleep pattern of headache sufferers is different from the control group. Patients in these studies were recruited from headache clinics; they did not include tension type headache.
Aims:
The aim of this study is to find out whether primary headaches affect sleep patterns.
Settings and Design:
Community based cross sectional study
Materials and Methods:
This study was conducted in three high schools. Children in the 12-19 age group were allowed to participate. They were given a questionnaire in the presence of at least one of the authors, who assisted them in filling it. They were asked to provide responses based on most severe recurrent headache that they had experienced rather than the more frequent ones. The questionnaire included questions regarding demographic data and the characteristics of headache according to International Classification of Headache Disorders-2 criteria. Part B of the questionnaire contained questions regarding sleep habits. The children were asked to provide data regarding sleep habits on a normal school day. Diagnosis was based upon the information contained in the questionnaire. A telephonic interview was also done, where the information provided was found inadequate.
Statistical Analysis Used:
Analysis was done with the help of SPSS v. 11.0., descriptive analysis, Chi square, and one way ANOVA with post hoc analysis. Kruskall-Wallis tests were run.
Results:
A total of 1862 subjects were included in the study. Migraineurs and tension type headache sufferers comprised 35.7% and 13.4% of the group respectively. Migraineurs had the highest prevalence of nocturnal awakenings (P < 0.001), abnormal movements (P=0.001) and breathing problems during sleep (P < 0.001). Approximately half the migraineurs felt sleepy during the day (P< 0.001) and spent around 1.17 hours in sleep during the day (P = 0.007). Similarly, values for frequency of nocturnal awakenings per week (P < 0.001), wake time after sleep onset and offset (P < 0.001 and 0.002 respectively) were the maximum in migraineurs. Only 32.8% migraineurs reported refreshing sleep (P< 0.001). Post hoc analysis revealed that migraineurs were different from the other two groups on most of the parameters.
Conclusions:
Sleep disruption is more common in migraineurs than those in the tension type headache sufferers and the control group.
doi:10.4103/0972-2327.42936
PMCID: PMC2771978  PMID: 19893663
Migraine; sleep; sleep-disruption; tension type headache
3.  A Time-Series-Based Feature Extraction Approach for Prediction of Protein Structural Class 
This paper presents a novel feature vector based on physicochemical property of amino acids for prediction protein structural classes. The proposed method is divided into three different stages. First, a discrete time series representation to protein sequences using physicochemical scale is provided. Later on, a wavelet-based time-series technique is proposed for extracting features from mapped amino acid sequence and a fixed length feature vector for classification is constructed. The proposed feature space summarizes the variance information of ten different biological properties of amino acids. Finally, an optimized support vector machine model is constructed for prediction of each protein structural class. The proposed approach is evaluated using leave-one-out cross-validation tests on two standard datasets. Comparison of our result with existing approaches shows that overall accuracy achieved by our approach is better than exiting methods.
doi:10.1155/2008/235451
PMCID: PMC3171390  PMID: 18464911

Results 1-3 (3)