Systematic analysis of steroids. 8. Molecular structure of C19 and C18 steroid derivatives and retention times in gas chromatography.
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In this prospective study we employed a newly developed gait analysis system to compare the ground reaction force patterns in 15 patients before and after total hip or knee replacement. In this system, data are measured separately for each limb. Measured data were also obtained from 30 healthy adults and compared with those obtained from the patient group. We analysed the three-dimensional force patterns, impulse, frequency, stride and double stance, and compared changes in the postoperative gait patterns. The vertical force maxima Fy identify the peak forces obtaining during walking. The results showed significantly increased (p < 0.05) postoperative force maxima Fy2 and Fy3 for both knee replacement (Fy2: 82.48 to 86.17 and Fy3: 96.09 to 99.35% body weight, pre- and postoperatively, respectively) and hip replacement (Fy2: 84.44 to 88.08 and Fy3: 98.63 to 101.96% body weight, pre- and postoperatively, respectively). The ADAL system proved suitable for the easy performance of gait analysis, and thus may be of future value in the area of clinical quality assurance.
A base rate of disruptive behavior was obtained for seven children in a second-grade class of 21 children. Rules, Educational Structure, and Praising Appropriate Behavior while Ignoring Disruptive Behavior were introduced successively; none of these procedures consistently reduced disruptive behavior. However, a combination of Rules, Educational Structure, and Praise and Ignoring nearly eliminated disruptive behavior of one child. When the Token Reinforcement Program was introduced, the frequency of disruptive behavior declined in five of the six remaining children. Withdrawal of the Token Reinforcement Program increased disruptive behavior in these five children, and reinstatement of the Token Reinforcement Program reduced disruptive behavior in four of these five. Follow-up data indicated that the teacher was able to transfer control from the token and back-up reinforcers to the reinforcers existing within the educational setting, such as stars and occasional pieces of candy. Improvements in academic achievement during the year may have been related to the Token Program, and attendance records appeared to be enhanced during the Token phases. The Token Program was utilized only in the afternoon, and the data did not indicate any generalization of appropriate behavior from the afternoon to the morning.
A good-behavior game was implemented in a fifth-grade reading class consisting of two groups of 14 students each. After the presentation of the game, reversal and component analysis phases were instituted. Game components included rules, lights (response feedback), and group consequences of extra recess and extra free time. Student observers recorded the dependent variables which included talking-out, disruptive, and out-of-seat behaviors. The results show that the game reduced the dependent measures from their baseline rate by almost 99% for one group and 97% for the other. The component analysis revealed that after association in the game, the stimulus components of rules and lights were effective in reducing the dependent behaviors.
BACKGROUND: Multiple classification systems for osteonecrosis of the hip have been developed to assist physicians in the diagnosis and treatment of this potentially debilitating disorder. The purpose of this analysis was to delineate the classification systems utilized in reports published since 1985 and, through a comparison of the most commonly used systems, to identify consistent factors that would allow for cross-publication comparisons to be made. METHODS: We performed a PubMed search for reports of outcome studies concerning treatment methods for osteonecrosis of the hip. All studies of reported outcomes with greater than ten patients were included in the analysis. Various classification systems were tabulated to determine usage frequencies. The four most commonly used systems were then analyzed to determine common factors used for classification. RESULTS: One hundred and fifty-seven studies were available for analysis. Sixteen major classification systems that made use of more than one radiographic factor were identified, and nine of these systems had one to five modifications reported throughout the literature. Additionally, eleven other systems made use of single factors obtained from either magnetic resonance imaging or anatomic data. The review revealed that four classification systems accounted for greater than 85.4% of the reported studies. Parameters for these four systems were stratified to allow for uniformity of patient or study evaluation. CONCLUSIONS: This analysis of the reported classification systems for osteonecrosis of the femoral head revealed several similarities between the most commonly used systems. An analysis of patients can be made with any of the four major systems if specific data are collected according to various magnetic resonance imaging and radiographic findings. This approach will allow for easier comparison of studies across different centers. LEVEL OF EVIDENCE: Prognostic Level III. See Instructions to Authors on jbjs.org for a complete description of levels of evidence.
Each year large pharmaceutical companies produce massive amounts of primary screening data for lead discovery. To make better use of the vast amount of information in pharmaceutical databases, companies have begun to scrutinize the lead generation stage to ensure that more and better qualified lead series enter the downstream optimization and development stages. This article describes computational techniques for end to end analysis of large drug discovery screening sets. The analysis proceeds in three stages: In stage 1 the initial screening set is filtered to remove compounds that are unsuitable as lead compounds. In stage 2 local structural neighborhoods around active compound classes are identified, including similar but inactive compounds. In stage 3 the structure-activity relationships within local structural neighborhoods are analyzed. These processes are illustrated by analyzing two large, publicly available databases.
Haplotypes have been used in various fields of genetics for a long time, in a variety of contexts, and for different purposes. Now, haplotype-based approaches to the analysis of candidate genes and genome-wide linkage disequilibrium (LD) mapping have gained center stage. It is time to explicitly distinguish the different concepts implied in the present haplotype approaches: haplotypes are not haplotypes, after all. The distinction of three different categories, ancestral, common haplotypes or haplotype blocks, gene-based haplotypes as complex genetic markers and gene-based functional haplotypes, is proposed. These categories serve as framework to review and analyze in particular the recent work suggesting evidence for a haplotype block structure of the human genome and the body of comparative sequencing studies addressing haplotype and LD structures at the gene level. Haplotype approaches will be evaluated along the dimensions preselection of variants versus complete DNA sequence information, role of LD and stages in the process of disease gene identification. Overall, the content of haplotypes is conceived as a function of available technologies to evaluate genetic variation and general advances in human genome research.
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BACKGROUND: Sexually transmitted diseases (STDs) enhance HIV transmission, and improved management of STD in primary health care decreases HIV incidence. In resource poor countries, those responsible for planning and managing STD control programmes need to be able to analyse the STD situation in their setting and the interventions which are therefore likely to be most cost effective. However, the data required for such decision making are often not available in developing countries. This paper presents an operational model, developed as a practical tool to support planning, monitoring, and evaluation of STD intervention strategies in settings where data are unavailable or inadequate. METHOD: The operational model is based on the approach developed for estimating the effectiveness of control measures in tuberculosis programmes. Using available data, the model takes a step by step approach. It begins with analysis of the total male and female population, the proportion of men and women aged 15-49 years, and the proportion of these who are sexually active. Subsequent steps analyse numbers with STDs, and loss of cases to the health system at each stage between infection and cure. The model was tested in Nairobi, Kenya using available demographic, epidemiological, and public health data; no original data were collected. Data for the total population of Nairobi were not available to illustrate all the steps in the model. For these steps, relevant information was taken where available from a specific study population using a large STD referral centre. RESULTS: Despite the lack of precise data for Nairobi, the model highlighted sex imbalances in population, which has potential implications for STDs. It also showed significant disparities in terms of public health policy--for example, between the number of people infected with STDs and the number who have symptoms, and between the number with symptoms and those who seek treatment from public health facilities. It also showed differences between the numbers who attend a health facility, and those that are correctly diagnosed and treated, and, of these, the proportion that are cured. CONCLUSION: Even where data are incomplete or not available, the model can be a useful tool for analysis. Application of the model, as the Nairobi example illustrates, provides a useful starting point in terms of determining both general and specific determinants of STDs, identifying problems, highlighting significant sex differences, and indicating where it might be appropriate to focus interventions. The model showed that, in Nairobi, only a small proportion of STD cases are removed from the reservoir of infection in the community through curative services, that cases are lost to the health services at every step, and therefore that interventions are required at every step to achieve comprehensive STD control. It highlights the need for strategies to prevent infections, to identify and treat those with and without symptoms, to motivate those who are aware of their infection to seek treatment, and to improve the effectiveness of partner notification and treatment. Finally, the model points to areas where data are inadequate and where STD control programmes need to concentrate information collection efforts.
Nursing is a field which employs numerous people whose formation and professional roles are regulated by a wide set of rules and norms, and one which benefits innumerable patients. A paradox exists when, upon consulting various dictionaries, one of these the Royal Academy Dictionary (Diccionario de la Real Academia), the term nursing is defined as a physical space/set of nurses without any reference whatsoever to nurses' role in the health and educational systems. The definition we find in a dictionary should correspond to the concept the general public holds and reflect the true meaning of the profession. During a three year period, academic years 1994-96, on the first day of class, we asked each student to define or describe what he/she understood nursing to be. We consider that their responses, in a large sense, should correspond to the idea which the general public holds about nursing. An analysis of the content of these definitions allowed us to establish that there is a clear confrontation between what dictionaries state and what students, as a sample of society as a whole, think. Our results permit us to offer a definition for nursing which may be incorporated into new dictionary editions for the purpose of completing the already existing ones.
The Nature letter by R. van Oorschot and M. Jones (1) addressed two topics: the primary transfer of DNA from person to person or to various objects, and the secondary transfer of DNA through an intermediary. Forensic scientists have described the primary transfer of DNA and other biological evidence for many years. However, the authors also reported detecting secondary transfer of DNA from an object to a person's hands, which could adversely affect DNA typing in the forensic context. The prospect of secondary transfer raises questions of interest to both the legal and forensic communities. Therefore, we sought to evaluate parameters potentially leading to secondary DNA transfer. Our data do not support the conclusion that secondary transfer will compromise DNA typing results under typical forensic conditions.
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A classifying method on bulk blue ballpoint pen ink has been studied by Fourier transform infrared (FTIR) spectroscopy. By using this method, a total of 108 blue ink samples have been divided into two groups depending on their main component. Spectral characteristics of these inks such as frequency and absorbance are described by way of artificial intelligence of pattern recognition, and 35 subgroups from the 108 inks are distinguished by their correlation coefficient (lambda). Under heat or exposure to ultraviolet light a mode of change in the age of the inks has been obtained. This approach has provided a reliable and nondestructive method for the characterization of bulk ballpoint writing ink, and more importantly, it might be a basis for dating of the blue ballpoint pen ink.
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