Realistic 3D Phantoms for Validation of Microwave Sensing in Health Monitoring Applications.

The development of new medical-monitoring applications requires precise modeling of effects on the human body as well as the simulation and the emulation of realistic scenarios and conditions. The first aim of this paper is to develop realistic and adjustable 3D human-body emulation platforms that could be used for evaluating emerging microwave-based medical monitoring/sensing applications such as the detection of brain tumors, strokes, and breast cancers, as well as for capsule endoscopy studies. New phantom recipes are developed for microwave ranges for phantom molds with realistic shapes. The second aim is to validate the feasibility and reliability of using the phantoms for practical scenarios with electromagnetic simulations using tissue-layer models and biomedical antennas. The third aim is to investigate the impact of the water temperature in the phantom-cooking phase on the dielectric properties of the stabilized phantom. The evaluations show that the dielectric properties of the developed phantoms correspond closely to those of real human tissue. The error in dielectric properties varies between 0.5-8%. In the practical-scenario simulations, the differences obtained with phantoms-based simulations in S21 parameters are 0.1-13 dB. However, the differences are smaller in the frequency ranges used for medical applications.

Traffic noise modelling at intersections in mid-sized cities: an artificial neural network approach.

Traffic noise has emerged as one major environmental concern, which is causing a severe impact on the health of urban dwellers. This issue becomes more critical near intersections in mid-sized cities due to poor planning and a lack of noise mitigation strategies. Therefore, the current study develops a precise intersection-specific traffic noise model for mid-sized cities to assess the traffic noise level and to investigate the effect of different noise-influencing variables. This study employs artificial neural network (ANN) approach and utilizes 342 h of field data collected at nineteen intersections of Kanpur, India, for model development. The sensitivity analysis illustrates that traffic volume, median width, carriageway width, honking, and receiver distance from the intersection stop line have a prominent effect on the traffic noise level. The study reveals that role of noise-influencing variables varies in the proximity of intersections. For instance, a wider median reduces the noise level at intersections, while the noise level increases within a 50-m distance from intersection stop line. In summary, the present study findings offer valuable insights, providing a foundation for developing an effective managerial action plan to combat traffic noise at intersections in mid-sized cities.

Exploring the Chemical and Biological Potential of Jamun (Syzygium cumini (L.) Skeels) Leaves: A Comprehensive Review.

Leaves of jamun collected as agro by-produce during the cultivation of jamun is traditionally used as ayurvedic medicine to treat diabetes, gall bladder stones and other ailments. Most of the beneficial effects of jamun leaves are associated with phytochemicals found in jamun leaves such as gallic acid, tannins, mallic acid, flavonoids, essential oils, jambolin, ellagic acid, jambosine, antimellin and betulinic acid. Jamun possess curative activities like anticancer, antidiabetic, antifertility, anti-inflammatory, antidiarrheal, antimicrobial, antinociceptive, antioxidant, antiradiation, chemotherapeutic, and gastroprotective. The main goal of this review article is to provide information on the nutritional content, phytochemical composition and health promoting properties of jamun leaves. The review of literature based on the phytochemical composition and health promoting benefits of the jamun leaves, suggests that leaves can be used as potential constituent in the formulation of pharmacological drugs. From the review literature it is found that clinical, in-vivo, in-vitro studies are still required to check the health promoting effects of jamun leaves extracts on humans.

Aegle marmelos (L.) Correa: An Underutilized Fruit with High Nutraceutical Values: A Review.

Aegle marmelos (L.) Correa (Bael) fruit, a member of the Rutaceae family, is a major cultivated fruit plant in tropical and subtropical regions in countries of southeast Asia. Bael fruit has been a major topic for studies in recent years mainly due to its high nutritional (carbohydrates, proteins, minerals, and vitamins) value and presence of various phytochemicals, which attributed to its high medicinal value. These phytochemicals include various compounds, e.g., alkaloids, flavonoids, and phenolic acids (protocatechuic acid, gallic, and ellagic acid). The fruit extract of bael has been also an important study area for its pharmacological activities, including antidiarrheal, antioxidant, antidiabetic, hepatoprotective, radioprotective, anticancer, antiulcer properties. The current review mainly highlighted the nutritional and pharmacological activities of bael fruit. The nutritional profile and phytochemical profile were discussed in the review, along with their concentration in the fruit. Moreover, the experiments carried out in vivo and in vitro of bael fruit extracts with respect to their pharmacological activities were also discussed in the article. The recent literature based on nutritional and pharmacological values of bael fruit showed its high potential as a food and pharmaceutical product. Despite having high nutritional and pharmacological value, research related to molecular mechanisms of bael fruit is still limited, and clinical trials are needed to ensure its safety as a product in the food and pharma industries.

Proteomic identification of virulence-related factors in young and aging C. elegans infected with Pseudomonas aeruginosa.

The molecular mechanisms that distinguish immunosenescence from general age-related decline are poorly understood. We addressed this by exposing Day 1 and Day 5 adults of Caenorhabditis elegans to Pseudomonas aeruginosa strain PA01, an opportunistic pathogen. Day 5 adult C. elegans exhibited greater vulnerability to infection as compared to Day 1 C. elegans. Using TMT6-plex isobaric labeling and reductive dimethylation, we identified 55 proteins whose levels were altered following infection of Day 1 and Day 5 adults. Proteins whose levels changed in response to infection at both ages were strongly enriched for locomotory functions underscoring the importance of pathogen avoidance mechanisms. In Day 1 C. elegans, proteins with reproductive functions were highly enriched, whereas, Day 5 worms showed elevated levels of factors representing stress response pathways such as unfolded protein response (UPR) and metabolic functions. We also found that PA01 infection is associated with elevated protein carbonylation, an irreversible marker for oxidative stress. We explored the function of UNC-60, a cytoskeletal protein whose levels were changed by both age and infection, and found that mutants of unc-60 have reduced lifespan. Overall, our data provide novel insights into the relationship between age and immunosenescence in metazoans. SIGNIFICANCE: There are gaps in our knowledge pertaining to how aging influences an organism's response to pathogen exposure. In C. elegans, pathogen exposure to P. aeruginosa PA01 results in shortened lifespan, which is more pronounced in Day 5, compared to Day 1 adult worms. The proteome has age-specific responses to this exposure, and notably affects development, reproduction, metabolism, protein folding/unfolding, locomotion, and response to stress. This study addresses the molecular links between aging and immunosenescence in invertebrates.

Dataset of proteomics analysis of aging C. elegans exposed to Pseudomonas aeruginosa strain PA01.

Here, we present the proteomics dataset of young and middle-aged Caenorhabditis elegans (C. elegans) exposed to Pseudomonas aeruginosa (P. aeruginosa strain PA01), which is related to the article "Proteomic Identification of Virulence-Related Factors in Young and Aging C. elegans infected with Pseudomonas aeruginosa" (C. D. King et. al, in-revisions). This dataset was generated to better understand the effects of aging on molecular mechanisms involved in host response to pathogen exposure. Protein from C. elegans of different age and exposure to P. aeruginosa PA01 or control E. coli OP50 were extracted and tryptically digested. Peptides were labeled with the reagents tandem mass tag (TMT6-plex), separated, and detected by using offline strong-cation exchange and online liquid chromatography - mass spectrometry (SCX - LC - MS/MS & MS3). A separate mixture of peptides were labeled on N-terminal amines and lysines with dimethylation. Dimethylated peptides were analyzed using LC - MS/MS and a portion of the results were used to verify fold-change direction for TMT6-plex experiments. Raw data can be found online at www.CHORUSproject.org, a cloud-based data repository (see specifications table for details).

Vehicular traffic noise prediction using soft computing approach.

A new approach for the development of vehicular traffic noise prediction models is presented. Four different soft computing methods, namely, Generalized Linear Model, Decision Trees, Random Forests and Neural Networks, have been used to develop models to predict the hourly equivalent continuous sound pressure level, Leq, at different locations in the Patiala city in India. The input variables include the traffic volume per hour, percentage of heavy vehicles and average speed of vehicles. The performance of the four models is compared on the basis of performance criteria of coefficient of determination, mean square error and accuracy. 10-fold cross validation is done to check the stability of the Random Forest model, which gave the best results. A t-test is performed to check the fit of the model with the field data.

Femoral head fracture without hip dislocation.

Femoral head fractures without dislocation or subluxation are extremely rare injuries. We report a neglected case of isolated comminuted fracture of femoral head without hip dislocation or subluxation of one year duration in a 36-year-old patient who sustained a high energy trauma due to road traffic accident. He presented with painful right hip and inability to bear full weight on right lower limb with Harris hip score of 39. He received cementless total hip replacement. At latest follow-up of 2.3 years, functional outcome was excellent with Harris hip score of 95. Such isolated injuries have been described only once in the literature and have not been classified till now. The purpose of this report is to highlight the extreme rarity, possible mechanism involved and a novel classification system to classify such injuries.

Yield and fibre quality associated with cotton leaf curl disease of Bt-cotton in Punjab.

Cotton leaf curl disease (CLCuD), caused by Gemini virus and transmitted through whitefly (Bemisia tabaci) is a serious problem in Northern India, affecting the productivity to a great extent. Depending upon the severity of infection in susceptible varieties, the disease can cause upto 90.0 % yield losses besides this, it also causes deterioration in fibre quality. The objective of the present study was to determine the effect of cotton leaf curl disease on seed cotton yield and fibre characters of two popular Bt-cotton hybrids in Punjab. The disease caused 52.7% reduction in number of bolls and 54.2 % in boll weight in Bt cotton hybrid RCH 134. Similarly, it reduced the fibre length from 29.1 to 26.2 mm (9.9%); fibre uniformity from 68.9 to 68.1% (1.1%); fibre strength from 29.1 to 26.9 g per texture (7.5%) and miconaire value from 5.2 to 5.0 g inch(-1) (3.8%). Similar results were reported in Bt cotton hybrid MRC 6304, where the disease reduced the boll number and boll weight by 46.1 and 43.4%, respectively. However, to the fibre quality was not much affected by varying level of disease severity. The studies clearly reflect the adverse impact of CLCuD on yield and fibre quality especially 2.5% span length. Thus suggesting the management of disease using integrated disease management strategies to avoid quantitative and qualitative losses.