Characterization and modification of cavitation pattern in shock wave lithotripsy

The temporal and spatial dynamics of cavitation bubble cloud growth and collapse in extracorporeal shock wave lithotripsy (ESWL) is studied experimentally. The first objective is obtaining reproducible cloud patterns experimentally and comparing them with FDTD-calculations. Second, we describe a method to modify the cavitation pattern by timing two consecutive pressure waves at variable delays. It is found that the spatial and temporal dynamics of the cavitation bubble can be varied in large ranges. The ability to control cavitation dynamics allows discussing strategies for improvement of medical and biological applications of shock waves such as cell membrane poration and stone fragmentation

Enhanced sensitivity with thickness optimization of ZnO based acetone sensor

Zinc oxide (ZnO) thin film based acetone gas sensor has been studied with variation of sensing layer thickness towards 500 ppm of acetone. The effect of thickness variation of the sensing layer on the structural, surface morphological, optical and gas sensing properties of ZnO thin film has been studied. A significant increase from 7.19 to 63 in the sensing response has been observed with bare ZnO thin film for the samples with an optimised thickness of 410 nm at an optimised operating temperature of 320 ᵒC. This study conducts the variations in structural, optical and the gas sensing characteristics while varying the thickness of ZnO based thin films for an acetone gas sensor. Further, the study concludes with an optimised thickness as 410 nm for an oxidizing gas

Annealing temperature optimization for highly sensitive ZnO based acetone gas sensor

The present research is related to the effect of temperature on the crystallinity for zinc oxide (ZnO) thin film based acetone sensor fabricated via sol-gel method. One of the critical parameters for a gas sensor is the annealing temperature of thin films which directly influences the crystallinity of a material and hence its structural properties. Thus, the present study shows the effects of annealing temperature variation over the properties related to the gas sensing behaviour for the sensor. The structural and optical properties with surface morphology have been analysed for the prepared samples. The response characteristics of the ZnO films with a thickness of 410 nm for the acetone vapour has been determined for the temperature range from 180 °C to 360 °C and the annealing temperature variation has been studied from 450 °C to 750 °C. The optimal operating temperature has been found to be 320 °C while the optimal annealing temperature as reflected by the results is 650 °C

Comparative Analysis and Design of Different Approaches for Twitter Sentiment Analysis and classification using SVM

Companies and organizations have always found that the views and feedback of the community are their most important and valuable resource. With everyone using social media more and more, it makes it possible to analyze and evaluate things in ways that have never been done before. Before, organizations had to use methods that were unusual, time-consuming, and prone to mistakes. This way of analyzing fits right into the field of "sentiment analysis." Sentiment analysis is a broad field that deals with putting user-generated text into well-defined groups. There are a number of tools and algorithms that can be used to detect and analyze sentiment. For example, supervised machine learning algorithms can be trained with training data and then used to classify the target corpus. Lexical techniques, which use a dictionary-based annotated corpus to do classification, and hybrid tools, which are a mix of machine learning and lexicon-based algorithms, are also used. In this paper, we used Weka's Support Vector Machine (SVM) to analyze how people feel about something. SVM is a popular supervised machine learning algorithm used to find the polarity of text. The main objective is to analyze the emotions expressed in tweets using various simulations of artificial intelligence that classify tweets as positive or negative. If a tweet has both positive and negative components, the more prevalent component should be chosen as the closing statement. Emojis, usernames, and hashtags in tweets should be controlled and transformed into a standard development. Sincerely, these events' planners have started looking into these inconspicuous web blogs (online diaries) to acquire a feel for their niche. On other discreet sites, they routinely monitor and respond to customer feedback. Better means of seeing and combining a broad assessment are one challenge. A few people, including Facebook, Twitter, and Instagram, were really introduced to social affiliation stages a year ago. The vast majority of individuals utilize internet entertainment to express their thoughts about objects, places, or people. Systems Twitter, a less common platform for publishing material to blogs, is a huge repository of well-known reviews for various persons, services, associations, and products, among other things. Assessment examinations are reviews of the public assessment structures. What is said on Twitter has a substantial context thanks to a mixture of opinions. The widespread accessibility of online tests and virtual entertainment posts in the media provides connection with crucial examination to undermine expert judgments and direct their boosting strategies to relaxing and client conclusions. In this way, virtual distraction anticipates playing a significant role in influencing the general exposure of the companies or objects selected. This study highlights the many approaches used for item depiction analyses. Check topics on Twitter to see if the general public is acting in a favorable, negative, or neutral manner

Biodynamic Interfaces Are Essential for Human-Environment Interactions.

AbstractThe environment impacts human health in profound ways, yet few theories define the form of the relationship between human physiology and the environment. It is conjectured that such complex systems cannot interact directly, but rather their interaction requires the formation of an intermediary "interface." This position contrasts with current epidemiological constructs of causation, which implicitly assume that two complex systems transfer information directly while remaining separate entities. Further, it is contended that dynamic, process‐based interfaces incorporate components from all the interacting systems but exhibit operational independence. This property has many consequences, the foremost being that characteristics of the interface cannot be fully resolved by only studying the systems involved in the interaction. The interface itself must be the subject of inquiry. Without refocusing the attention on biodynamic interfaces, how the environment impacts health cannot be discerned. Also see the video abstract here https://youtu.be/XeyjeZeyo4o

Hypoglycemia in carbon monoxide poisoning: A case report

Carbon monoxide poisoning is a common presentation in the Emergency Department. The clinical presentation runs a spectrum, ranging from headache and dizziness to coma and death, with a mortality rate ranging from 1 to 3 %. Administration of normobaric 100% oxygen is the therapy of choice for most cases, while hyperbaric oxygen therapy is reserved for severe poisoning. Hyperglycemia is commonly seen with this poisoning but the association of hypoglycemia is not well described in human studies. Here, we present the case of hypoglycemia in carbon monoxide poisoning with good clinical outcome in a 22-year-old male

Microspatial distribution of trace elements in feline dental hard tissues: early life exposure to essential and toxic elements

IntroductionTrace elements play a key role in dental tissue development, as dental hard tissues accumulate both essential and toxic trace elements during mineralization. Characterization of the spatial accumulation pattern of trace elements may provide insight into exposure to toxic elements over time and to the nature of disease processes affecting the hard dental tissues. Here, we present the first report of the use of laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) to map the microspatial distribution of multiple trace elements, essential and toxic, across feline dental hard tissues.MethodsEleven teeth were extracted from 8 cats. Nine teeth were from 7 cats diagnosed with idiopathic tooth resorption on intraoral radiographs prior to extraction. Two teeth were included from a cadaver that had no signs of tooth resorption on intraoral radiographs. The normal dental tissue was analyzed from each sample using LA-ICP-MS to map the microspatial distribution of essential and toxic trace elements across feline enamel, dentin, and cementum.ResultsResults showed a higher accumulation of barium and strontium in coronal dentin as compared to root dentin. The timing of the accumulation mirrors nursing timelines seen in teeth from human and non-human primates, consistent with barium and strontium being sourced from maternal milk. Results also showed a higher uptake of lead in the coronal dentin, suggesting this lead exposure was likely passed from mother to offspring.DiscussionThis work characterizes a baseline for elemental distribution in feline teeth linked to early life exposure to toxic elements such as lead and provides a framework for future studies investigating long-term environmental exposures to trace elements, essential and toxic, and their involvement in feline systemic and dental diseases

Performance Analysis of Multiple Access Techniques for LTE system under Symbol Error Rate (SER) Calculation

In the recent years, so many technologies in multiple access trends have influenced the field of Wireless Sensor Networks in significant ways. Various trends are readily available technology of ubiquitous wireless sensor networks as well as wireless communication networks and progress in the development of two multiple access techniques are compared in this scenario: the OFDMA and SC-FDMA. The OFDMA and SC-FDMA transceivers are modeled and simulated considering both the interleaved and localized subcarriers mapping schemes. WSNs have the potentiality to connect the physical world with the virtual world by forming a network of sensor nodes. To prolong the networklsquo;s hop in terms of single and two hop using both techniques should be used in the sensor nodes. The minimization of computing and storage platforms as well as the development of novel micro sensors and sensor materials with high reliability force encourages technology in research on WSN. In this paper, we will proposed the field of multipath routing in wireless sensor networks, and mainly focus on the technology of SER of WSNs