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Crowd detection and monitoring is an active area of research because of its significance in many areas, especially law enforcement. Various sensor modalities, such as infrared imaging, video feed, received signal strength indicator, Radio-frequency identification, GPS signals, and audio tones through mobiles have been used in earlier work. In this paper, a method that uses passive acoustic sensors in a multimodal sensor network for crowd monitoring is described. This multimodal system uses three modalities, namely, carbon dioxide level, sound intensity level, and received signal strength for crowd detection and monitoring. The first two modalities are sensed using passive sensors, whereas the last one is an active sensor. This combination makes the proposed algorithms energy efficient and computationally less complex. The proposed multimodal crowd monitoring algorithm requires an effective clustering method. Hence, three clustering algorithms that utilize temporal, spatial, and spatio-temporal information are also proposed. Subsequently, an algorithm that fuses the information in different modalities is also proposed for efficient crowd monitoring. Additional contributions of this paper are the development of attenuation, reverberation, and additivity models, using real sensor deployments. Both simulation and real field experiments are conducted to evaluate the performance of the proposed algorithms in indoor and outdoor spaces. The results of crowd detection and monitoring obtained from these methods are motivating enough to use the proposed method in real small-scale deployment scenarios.Index Terms-Attenuation modeling, spatial-temporal clustering, crowd monitoring, multi-modal sensor network. 1530-437X

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Introduction: Centhaquine (Lyfaquin Ò ) showed significant efficacy as a resuscitative agent in animal models of haemorrhagic shock. Its safety and tolerability were confirmed in healthy human volunteers. In this study, our primary objective was to determine the safety, and the secondary objective was to assess the efficacy of centhaquine in patients with hypovolemic shock. Methods: A prospective, multicentre, randomized phase II study was conducted in male and female patients aged 18-70 years with hypovolemic shock having systolic BP B 90 mmHg. Patients were randomized in a 1:1 ratio to either the control or centhaquine group. The control group received 100 ml of normal saline infusion over 1 h, while the centhaquine group received 0.01 mg/kg of centhaquine in 100 ml normal saline infusion over 1 h. Every patient received

Four studies comparedmemoryfor material that varied in humor, aggressive sexuality (tendency), and style. The findings were that humor improved memoryfor the material but arousing material increased recall further and interacted additively with humor. Humor seemed to have an effect on attention and selection of material while tendency influenced motivation and strength of recall Humor's role in education is assured. No matter how uncertain the effect of humor on appropriate attention and relevant memory, it is irresistible in the classroom. Indeed, when amusement is relevant to the task, äs in the memory for jokes to be transmitted in a social setting, there is a positive, if slight, effect on recall.In the earliest published study, Heim (1936) found that after a delay of between two and twenty-four weeks, 62 percent of the material initially laughed at was remembered, while only 8 percent of the material that did not elicit laughter was recalled. This figure was inflated slightly by the inclusion of three not-funny Stimuli that were remembered better than "slightly funny" Stimuli. In fact, with some computational gymnastics, it can be ascertained that on a 5 point scale (assuming "very funny" = 4 to "not funny" = 0) the remembered items were rated an average of 2.1 (just more than "funny") while the not remembered items averaged 1.3 (somewhat more than "slightly funny"). In spite of these reasonably clear results, Heim concludes that, "The main result of this experiment is to make one exceedingly chary of setting up any rules on the subject of humor" (p. 161).

Biometric traits are frequently used by security agencies for automatic recognition of a person. There are numerous biometric traits used for person identification. In recent years, iris biometric trait becomes very popular and efficient in many security applications. However, biometric systems are prone to presentation attack. This attack is carried out by using spoofing of any biometric modality and present as a genuine trait. The effect of an artificial artifact of a humanoid iris could be in the form of contact lens attack and print attack make difficult the expected policy of a biometric liveness system. In this paper, the different and enhanced feature descriptor has been proposed i.e. Enhanced Binary Hexagonal Extrema Pattern (EBH X EP) for forged iris detection. The relationship between the center pixel and its hexa neighbor has been explored by the suggested descriptor. The Proposed approach is tested on ATVS-FIr DB and IIIT-D CLI database for iris liveness detection and the results show better results for liveness detection in term of accuracy and average error rate.

In the present work, we have studied structural, electronic, optical and thermoelectric properties of Rb based state-of-the-art materials RbYZ (Y=Be, Mg, Ca, Sr and Ba; Z=P, As, Sb and Bi) having 8 valence electron count (VEC) using density functional theory followed by solution of Boltzmann transport equation with constant relaxation time approximation. The exchange and correlation potential are described by the GGA of Wu and Cohen (GGA-WC); the Becke-Johnson approach modified by Tran and Blaha (TB-mBJ) has been used to model the exchange-correlation potential. The bandgap of these materials lies in the range of 0.201 eV-2.591 eV. The various optical parameters are comparable with the state-of-the-art photovoltaic materials. Thermoelectric properties have been computed at 300 K, 600 K and 900 K. At these temperatures lattice thermal conductivity have been computed using Slack's model. This detailed study shows that these compounds are promising for renewable energy applications.

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