A hybrid haptic stimulation wearable device to recover the missing sensation of the upper extremity prostheses’ users

A hybrid haptic feedback stimulation system that is capable in sensing the surface texture, and the temperature, simultaneously, was designed for a prosthetic hand to provide a tactile sensation to amputation patients. In addition, the haptic system was developed to enable the prosthetic’s users to implement withdrawal reflexes due to the thermal noxious stimulus in a quick manner. The re-sensation is achieved by non-invasively stimulating the skin of the patients’ residual limbs, based on the type and the level of tactile signals provided by the sensory system of the prostheses. Accordingly, a novel hybrid pressure-vibration- temperature feedback stimulation system was design to provide a huge information regarding the prostheses environment to the users without brain confusing or requiring long pre-training. An evaluation of sensation and response will be performed with healthy volunteers to evaluate the ability of the haptic system to stimulate the human nervous system. The results were presented in term of Stimulus Identification Rate (SIR). The test results and the volunteers' response established evidence that amputees are able to recover their sense of the contact pressure, the surface texture, and the object temperature as well as to perform thermal withdrawal reflexes using the solution developed in this work

ESTIMATION OF ATTRIBUTABLE FRACTION FOR MALARIA IN PREGNANT WOMEN

 This study applied the estimation of logit model of fever risk as a disease function of parasite density, age and season to give a more precise estimate. The data used for this study was obtained from the University College Hospital (UCH). Asymptomatic carriage of malaria parasites occurs frequently in endemic areas and the detection of parasites in a blood film from a febrile individual which does not necessarily indicate clinical malaria. In areas of very high transmission such estimates of the attributable fraction may be imprecise because very few individual pregnant women are without parasites. Furthermore, non-malaria fevers appear to suppress low levels of parasitaemia resulting in biased estimates of attributable fraction. We therefore, propose a qualitative response regression model for obtaining precise estimates of the probabilities of pregnant women with different level of parasitaemia having fever due to malaria. Logistic regression methods which model fever risk as a continuous function of parasite density, age, and season to give a more precise estimates than simple analyses of parasite prevalence and overcome problems of bias caused by the effects of non-malaria fevers. The result indicate that age is not a predicting factor affecting the pregnant women living in endemic areas, and also season has a slight effect while the parasite level is a major factor

A HYBRID MACHINE LEARNING MODEL FOR NETWORK INTRUSION DETECTION

 Intrusion detection is a significant challenge in network security, as it involves detecting unseen attacks in a network or system. In this research, we aimed to build a hybrid machine learning model for intrusion detection using artificial intelligence (AI). To do this, we used the KDD CUP 99 dataset and applied two machine learning algorithms: AdaBoost and Stochastic Gradient Descent Classifier (SGDC). These algorithms were combined to form two hybrid models: SGDC_ADA and ADA_SGDC.  The results of our study showed that the SGDC_ADA model had an accuracy of 0.97 and outperformed the ADA_SGDC model, which had an accuracy of 0.96. In addition, the SGDC_ADA model had an average precision of 0.97, average recall of 0.96, and average F1-score of 0.97, while the ADA_SGDC model had an average precision of 0.96, average recall of 0.95, and average F1-score of 0.96.  Overall, our research suggests that the SGDC_ADA hybrid model is an effective method for intrusion detection, with high accuracy and low error rates. This model may be useful in improving network security and protecting against unseen attacks

4-(3-Methyl-4,5-dihydro-1H-benzo[g]indazol-1-yl)benzene­sulfonamide

In the title compound, C18H17N3O2S, the aromatic ring bearing the sulfamide unit is aligned at 61.65 (1)° with respect to the pyrrole ring; its amino group forms N—H⋯N and N—H⋯O hydrogen bonds to neighboring mol­ecules, generating sheets in the ac plane

The patellofemoral joint alignment in patients with symptomatic accessory navicular bone

Quadriceps angle (Q angle) provides useful information about the alignment of the patellofemoral joint. The aim of the present study was to assess a possible link between malalignment of the patellofemoral joint and symptomatic accessory navicular (AN) bone as an underlying cause in early adolescence using Q angle measurements. This study was performed on patients presenting to the Foot and Ankle Clinic at the Jordanian Royal Medical Services because of pain on the medial side of the foot that worsened with activities or shoe wearing, with no history of knee pain, between September 2013 and April 2015. The Q angle was measured using a goniometer in 27 early adolescents aged 10-18 years diagnosed clinically and radiologically with symptomatic AN bone, only seven patients had associated pes planus deformity; the data were compared with age appropriate normal arched feet without AN. Navicular drop test (NDT) was used to assess the amount of foot pronation. The mean Q angle value among male and female patients with symptomatic AN with/without pes planus was significantly higher than in controls with normal arched feet without AN (p<0.05). Symptomatic AN feet were also associated with higher NDT values (p<0.001). The present findings suggest an early change in patellofemoral joint alignment in patients with symptomatic AN bone with/without arch collapse. Therefore, it is recommended that Q angle assessment should be an essential component of the examination in patients with symptomatic AN bone

Lepton flavor conserving Z -> l^+ l^-$ decays in the general two Higgs doublet model

We calculate the new physics effects to the branching ratios of the lepton flavor conserving decays Z -> l^+ l^- in the framework of the general two Higgs Doublet model. We predict the upper limits for the couplings |\bar{\xi}^{D}_{N,\mu\tau}| and |\bar{\xi}^{D}_{N,\tau\tau}| as 3\times 10^2 GeV and 1\times 10^2 GeV, respectively.Comment: 9 pages, 3 figure

Measurement of the cross-section ratio sigma_{psi(2S)}/sigma_{J/psi(1S)} in deep inelastic exclusive ep scattering at HERA

The exclusive deep inelastic electroproduction of $\psi(2S)$ and $J/\psi(1S)$ at an $ep$ centre-of-mass energy of 317 GeV has been studied with the ZEUS detector at HERA in the kinematic range $2 < Q^2 < 80$ GeV$^2$, $30 < W < 210$ GeV and $|t| < 1$ GeV$^2$, where $Q^2$ is the photon virtuality, $W$ is the photon-proton centre-of-mass energy and $t$ is the squared four-momentum transfer at the proton vertex. The data for $2 < Q^2 < 5$ GeV$^2$ were taken in the HERA I running period and correspond to an integrated luminosity of 114 pb$^{-1}$. The data for $5 < Q^2 < 80$ GeV$^2$ are from both HERA I and HERA II periods and correspond to an integrated luminosity of 468 pb$^{-1}$. The decay modes analysed were $\mu^+\mu^-$ and $J/\psi(1S) \,\pi^+\pi^-$ for the $\psi(2S)$ and $\mu^+\mu^-$ for the $J/\psi(1S)$. The cross-section ratio $\sigma_{\psi(2S)}/\sigma_{J/\psi(1S)}$ has been measured as a function of $Q^2, W$ and $t$. The results are compared to predictions of QCD-inspired models of exclusive vector-meson production.Comment: 24 pages, 8 figure

Comparative Study of Three Different Adsorbent-Adsorbate Working Pairs for a Waste Heat Driven Adsorption Air Conditioning System Based On Simulation

In a previous study, a laboratory prototype of a thermal-driven adsorption air conditioning system employing activated carbon as adsorbent and methanol as the refrigerant was successfully developed. The experimental results employing the prototype obtained a COP of 0.19 and cooling capacity Q of around 320 kJ. The cooling power P yielded ~ 0.64 kW and it was able to produce chilled air temperature Tchill,out of around 22 °C. In the present study, further works are conducted via simulation to carry out “what-if” analysis viz. to determine the optimal adsorbentadsorbate working pair based on the prototype. Three types of refrigerants, coupled with activated carbon, were considered in this study, namely (1) methanol (similar to the experimental works); (2) ammonia; and (3) water. The simulation results obtained showed that activated carbon-water pair produced the best cooling compared to activated carbon-methanol and activated carbon-ammonia working pairs, as far as present study is concerned. The methanol and ammonia showed a COP of 0.37 and 0.4, respectively. The average Tchill,out produced by methanol was around 15 °C while the temperature produced by ammonia was slightly higher around 19 °C. The cooling capacity P for methanol and ammonia showed a value of 0.65 kW and 0.50 kW, respectively. Activated carbon-water pair simulated to yield a higher COP of 0.58 with Q at 480 kJ mainly due to high heat of evaporation, which was able to produce average Tchill,out of 12 °C with cooling power of approximately 1 kW