Another expert system rule inference based on DNA molecule logic gates

With the help of silicon industry microfluidic processors were invented utilizing nano membrane valves, pumps and mi-croreactors. These so called lab-on-a-chips combined together with molecular computing create molecular-systems-on-a-chips. This work presents a new approach to implementation of molecular inference systems. It requires the unique representation of signals by DNA molecules. The main part of this work includes the concept of logic gates based on typical genetic engineering reactions. The presented method allows for constructing logic gates with many inputs and for executing them at the same quantity of elementary operations, regardless of a number of input signals. Every microreactor of the lab-on-a-chip performs one unique operation on input molecules and can be connected by dataflow output-input connections to other ones

Molecular Neuron Realization

Universal Turing machine is a notional computing machine that stimulated work leading to the development of modern computers. The Turing machine operates on finite sequences of symbols by scanning a data type. The striking analogy to information-encoding biochemical reactions on information-carrying molecules was inspired to apply this methodology in neural networks. The essential feature of such approach is hybridization of pairs of complementary DNA strings and possibility to represent highly parallel selective operations, which can enable creating alternative, neural architectures. We describe our original model of molecular neuron based on DNA computing paradigm. During computation appropriate molecules are chosen, each specifying one of the finite number of initial states or processing elements

Myositis Ossificans of the Quadriceps Femoris Mimicking Sarcoma as a Diagnostic and Therapeutic Problem – Case Report and Literature Review

Myositis ossificans (MO) may be included in the group of lesions described as pseudosarcomas. Its clinical and histological picture frequently mimics a malignant neoplasm and therefore, ultimate diagnosis and implementation of adequate treatment requires the cooperation of interdisciplinary team of physicians. The paper presents the case of 20-year old female patient suffering from severe pain in the right thigh. The patient was initially diagnosed with the lower limb overload. Rest and administration of non-steroidal anti-inflammatory drugs (NSAID) were recommended. Due to the lack of the efficacy of the recommended conservative treatment and detection of tumorous mass on ultrasound examination, the patient was referred to the cancer centre. The diagnostic procedures were extended and an open biopsy of the lesion was performed which revealed the presence of MO. The patient underwent a surgical procedure during which the pathological mass was entirely removed. Follow up examinations conducted upon the conclusion of the rehabilitation indicate no pathologies in the operated area

DNA computing: implementation of data flow logical operations

Self-assembly of DNA is considered a fundamental operation in realization of molecular logic circuits. We propose a new approach to implementation of data flow logical operations based on manipulating DNA strands. In our method the logic gates, input, and output signals are represented by DNA molecules. Each logical operation is carried out as soon as the operands are ready. This technique employs standard operations of genetic engineering including radioactive labeling as well as digestion by the second class restriction nuclease and polymerase chain reaction (PCR). To check practical utility of the method a series of genetic engineering experiments have been performed. The obtained information confirms interesting properties of the DNA-based molecular data flow logic gates. Some experimental results demonstrating implementation of a single logic NAND gate and only in one vessel calculation of a tree-like Boolean function with the help of the PCR are provided. These techniques may be utilized in massively parallel computers and on DNA chips. 2001 Elsevier Science B.V. All rights reserved

Polish Adaptation of the Modified Tampa Scale of Kinesiophobia for Fatigue (TSK-F) and the Revision of the Tampa Scale in Terms of Pain for Cancer Patients

The aim of this study was to create a Polish adaptation of the Tampa Scale of Kinesiophobia considering fatigue, and to verify the usefulness of the scale in the context of pain in cancer patients. The study was conducted at the Breast Cancer Unit, operating at the Greater Poland Cancer Centre, and at the Poznan Centre for Specialist Medical Services in Poznan. After considering the exclusion criteria, 100 people qualified for the interviews for the final study: 50 breast cancer patients and 50 healthy respondents (without cancer). Statistical analysis of the CFA score showed that the chi-square test was not significant (χ2 = 10.243, p = 0.332), indicating an acceptable fit of items across scales. The reliability of the internal consistency of the scales was tested by examining the Cronbach’s alpha scores for each question/statement. The mean values for this indicator were 0.74 for the pain-related scale and 0.84 for the fatigue-related scale. Construct validity was confirmed for the scales; AVE for the pain-related scale was 0.64 and for the fatigue-related scale was 0.68. The results suggest the validity of examining kinesiophobia in the context of pain- and fatigue-related mobility anxiety among breast cancer patients in Poland, and that the Tampa Scale of Kinesiophobia can be adapted for different dimensions of the condition. Both versions of the scale demonstrated adequately prepared parametric constructs, and all correlations showed a statistically significant relationship (p < 0.05). The use of the Tampa Scale of Kinesiophobia in oncology patient studies in Poland may ultimately improve rehabilitation programs and enable the development of strategies to assist patients in supporting treatment to reduce movement anxiety