Chemical Weapons and Problems of Verification

This paper reviews the existing treaties for ban and verification of the production and use of chemical weapons. The proposed Chemical Weapons Convection, its thrust areas of verifications, the organisations for and process of verification are described briefly. Various technical verification measures including field techniques, such as detector papers, tubes, enzyme tickets, etc. and analytical methods such as gas chromatography, microsensors, different spectrometry methods including IR techniques and stationary system are also discussed

Deep soft-tissue leiomyoma of the forearm mimicking a primary bone tumor of the ulna

AbstractLeiomyomas of the soft tissues are rare in general, and extremely uncommon in the forearm. In general, leiomyomas are benign soft-tissue tumors that occur where smooth muscles are present. We present a case of soft-tissue leiomyoma of the forearm eroding the midshaft of the ulna, with emphasis on radiological diagnosis and histopathological correlation

Dissipativity analysis of stochastic fuzzy neural networks with randomly occurring uncertainties using delay dividing approach

This paper focuses on the problem of delay-dependent robust dissipativity analysis for a class of stochastic fuzzy neural networks with time-varying delay. The randomly occurring uncertainties under consideration are assumed to follow certain mutually uncorrelated Bernoulli-distributed white noise sequences. Based on the Itô's differential formula, Lyapunov stability theory, and linear matrix inequalities techniques, several novel sufficient conditions are derived using delay partitioning approach to ensure the dissipativity of neural networks with or without time-varying parametric uncertainties. It is shown, by comparing with existing approaches, that the delay-partitioning projection approach can largely reduce the conservatism of the stability results. Numerical examples are constructed to show the effectiveness of the theoretical results

Novel Lagrange sense exponential stability criteria for time-delayed stochastic Cohen–Grossberg neural networks with Markovian jump parameters: A graph-theoretic approach

This paper concerns the issues of exponential stability in Lagrange sense for a class of stochastic Cohen–Grossberg neural networks (SCGNNs) with Markovian jump and mixed time delay effects. A systematic approach of constructing a global Lyapunov function for SCGNNs with mixed time delays and Markovian jumping is provided by applying the association of Lyapunov method and graph theory results. Moreover, by using some inequality techniques in Lyapunov-type and coefficient-type theorems we attain two kinds of sufficient conditions to ensure the global exponential stability (GES) through Lagrange sense for the addressed SCGNNs. Ultimately, some examples with numerical simulations are given to demonstrate the effectiveness of the acquired result

Outcome analysis of cross-pinning versus lateral pinning and various lateral pinning configuration in the treatment of displaced paediatric supracondylar humerus fracture

Background: Supracondylar humerus fracture accounts for 3% of all the paediatric fractures. Displaced fractures need usually closed but rarely open reduction and stabilization with k-wires by either cross or lateral pinning technique. Controversies prevail regarding the type of pinning which will reduce complications (such as ulnar nerve palsy and loss of reduction which will lead to cubitus varus deformity) and provides better functional and radiological outcome. The aim of study was to analyse outcomes of various pinning techniques in displaced supracondylar humerus fracture treatment.Methods: This was a prospective study done in SRIHER, Chennai (January 2019 to September 2020) included children with displaced supracondylar humerus fracture (modified Gartland type 2B,3). Preop, postop and intraop assessment were done with respect to incidence of ulnar nerve palsy, Baumann's angle, Flynn criteria till 14 weeks postop period. The results of cross pinning and lateral pinning group were statistically compared.Results: There were totally 37 (male-25, female-12) patients. Mean age was 5.6. The mean change in Baumann’s angle of cross pin and lateral pin group at 14 weeks postop period comparing immediate postop period were 4.13 and 4.15 degrees, which was statistically insignificant using Mann Whitney test (p>0.05). Flynn criteria at 14 weeks postop period between two groups were also statistically insignificant. Difference in Baumann’s angle at 14 weeks postop period between divergent (2.82) and parallel (5.53) pin group was statistically significant using Mann Whitney test (0.01). There were no cases of ulnar nerve injury in both the groups.Conclusions: Lateral pinning technique with the use of 3 divergent pins for the treatment of displaced supracondylar humerus fracture gives stability as good as cross pin configuration and also avoids the risk of ulnar nerve injury

An advanced delay-dependent approach of impulsive genetic regulatory networks besides the distributed delays, parameter uncertainties and time-varying delays

In this typescript, we concerned the problem of delay-dependent approach of impulsive genetic regulatory networks besides the distributed delays, parameter uncertainties and time-varying delays. An advanced Lyapunov–Krasovskii functional are defined, which is in triple integral form. Combining the Lyapunov–Krasovskii functional with convex combination method and free-weighting matrix approach the stability conditions are derived with the help of linear matrix inequalities (LMIs). Some available software collections are used to solve the conditions. Lastly, two numerical examples and their simulations are conferred to indicate the feasibility of the theoretical concepts

The relationship between tourism development and sustainable development goals in Vietnam

This study explores the relationship between tourism development and sustainable development goals in Vietnam. This study takes tourism receipt and tourism expenditures as indicators to measure the level of tourism development, while government environmental expenditures have been used to measure sustainable development. This study also uses population growth and economic growth as control variables in the study. This study has extracted the data from World Bank Indicators (WDI) from 1971 to 2019. The study employs the unit root test to examine the stationarity of the variables and also uses the autoregressive distributed lag (ARDL) model to investigate the relationships among the variables. This study finds a positive association between tourism development and sustainable development goals in Vietnam. In doing so, it is able to provide insightful guidance for policymakers seeking to formulate and implement policies related to tourism development and sustainable development

Asian broadcasters telling compelling stories using technology: a case study from Malaysia.

Stories are significant on their own when they are given meaning as a consequence of the process by which they are constructed. Technology enables new forms of storytelling among broadcasters, eventually getting the message out impacting larger audiences. Audiences understand reality in a way that is congruent with the constructions of meaning either directly or through mediated socialization. Today, the media has become a powerful tool in this socialization process that audiences tend to refer to reality as portrayed in media. A collaborative research with the Asian-Pacific Institute for Broadcasting Development (AIBD) elicited and received feedback from 28 of their member countries. The study enquired how Asian broadcasters perceived their challenges in storytelling and crafted their opportunities for broadcasting. It became evident that broadcasters tell ‘big stories’ in quick succession to be relevant by using strategic enablers in particular ways. The transition from traditional media platforms to social media platforms was reported to reinforce storytelling skills. This finding was triangulated empirically at a mass celebration and storytelling event. The technological disruption experienced throughout this study shall be the future challenge to engage ‘a streamlined world of shared platforms that will empower broadcasters’

Feature level fusion based bimodal biometric using transformation domine techniques

Bimodal biometric used to authenticate a person is more accurate compared to single biometric trait. In this paper we propose Feature Level Fusion based Bimodal Biometric using Transformation Domine Techniques (FLFBBT). The algorithm uses two physiological traits viz., Fingerprint and Face to identify a person. The Region of Interest (ROI) of fingerprint is obtained using preprocessing. The features of fingerprint are extracted using Dual Tree Complex Wavelet Transforms (DTCWT) by computing absolute values of high and low frequency components. The final features of fingerprint are computed by applying log on concatenated absolute value of high and low frequency components. The face image is preprocessed by cropping only face part and Discrete Wavelet Transforms (DWT) is applied. The approximation band coefficients are considered as features of face. The fingerprint and face image features are concatenated to derive final feature vector of bimodal biometric. The Euclidian Distance (ED) is used in matching section to compare test biometric in the database, it is observed that the values of EER and TSR are better in the case of proposed algorithm compared to individual transformation domain techniques