Unexpected sneezing after a peribulbar injection in a patient for elective cataract surgery

Sneezing or the sternutatory reflex, inborn in most animals, is a primitive neuromuscular physiological response to irritation. Sometimes, unusual sneezing occurs during and immediately after a peribulbar block, which is generally performed with a local anaesthetic in awake patients. We present a case report of an awake elderly male who experienced unexpected continuous sneezing immediately after the removal of the needle used for the peribulbar block, which was subsequently relieved with pheniramine maleate.Keywords: peribulbar block, pheniramine maleate, sneezin

Addition of adenosine to hyperbaric bupivacaine in spinal anaesthesia does not prolong postoperative analgesia in vaginal hysterectomy

Background: Systemic administration of adenosine produces anti-nociception. Although literature supports intrathecal adenosine for neuropathic pain, its efficacy in postoperative pain remains unproven. There has been no study on the efficacy of adenosine on postoperative pain when administered with hyperbaric bupivacaine. The aim of our present study was to evaluate the efficacy of two different doses of intrathecal adenosine as an adjunct to 0.5% hyperbaric bupivacaine in patients undergoing vaginal hysterectomy under spinal anaesthesia. Method: Seventy-five women, aged 40-60 years and scheduled for vaginal hysterectomy under spinal anaesthesia, were included. Patients were allocated to three groups of 25 patients each to receive 500 μg adenosine (group I), 1000 μg adenosine (group II) and normal saline (group III) with 2.6 ml of 0.5% hyperbaric bupivacaine. Postoperative analgesia was provided with patient-controlled fentanyl. Time of administration of rescue analgesia and total dose of fentanyl were recorded. The times to full recovery of sensory and motor block were noted. Results: There were no differences in time to rescue analgesia and postoperative fentanyl consumption over 24 hours among the groups. There was no significant difference in onset of sensory and motor block or regression of sensory block, although statistically significant difference was noted in the time taken for regression of motor block. Conclusion: Intrathecal adenosine does not affect the postoperative analgesic requirement when administered with hyperbaric bupivacaine.Keywords: spinal anaesthesia, intrathecal adenosine, vaginal hysterectomy,postoperative analgesia, patient-controlled analgesi

Expression of Cyclin D1 in normal and hyperplastic endometrium

Background: Endometrial hyperplasia is characterised by increased gland to stroma ratio with varying degree of atypia. Cyclin D1 is a protein playing important role during the G1→S phase transition in the cell cycle. The present study evaluated the expression of Cyclin D1 in normal and hyperplastic endometrium.Methods: A cross sectional study was conducted over a period of 1 year. We evaluated and compared the expression of Cyclin D1 in 56 endometrial samples including 24 cases of simple hyperplasia, 12 cases of complex hyperplasia and 10 cases each of secretory and proliferative endometrium.Results: A substantial increase in expression of Cyclin D1 was seen in hyperplastic endometrium compared to normal endometrium. Moreover, complex hyperplasia showed the maximum positivity for Cyclin D1.Conclusions: Cyclin D1 may play a stimulatory role in the proliferation of endometrial glands and hence may be involved in endometrial tumorigenesis

RS-based regional crop identification and mapping: A case study of Barwala sub-branch of Western Yamuna Canal in Haryana (India)

Information on spatial land use is the main input in strategic and tactical plan-making by all agricultural participants in countries like India with agriculture at the mainstay of the economy. In addition, accurately evaluation of the management of crops in a spatio-temporal context, information on cropping systems is also required, but such information on a regional scale are scarcely available. The spectrum of multiannual patterns of land use on cultivable land, however, remains unknown. The paper thus focuses on the mapping of the cropping systems that are actually practiced in Hisar District of Haryana (India). The objective of this research was to use satellite data and Remote Sensing (RS) techniques to identify the cropping pattern of Barwala sub-branch of Sirsa branch of the Western Yamuna Canal in Haryana. To identify classes of interest, handheld GPS was used to collect ground-truth information. Mask of mixed classes was developed to reclassify an image under the mask. Moreover, appropriate classification of images and application of logical combinations helped in generating cropping pattern maps and statistics. Results revealed that major crops identified in the study area were cotton, rice and pearl-millet in Kharif season, which accounts for about 70% of total cultivated area. In the case of Rabi season, wheat and mustard were observed as the major crops covering approximately 57% of total area. RS technology is currently capable of providing cropping pattern with 90% accuracy. The results of the current study could be useful in the land use and efficient water management in the canal command areas in the water-scarce southern Haryana, India. Some crops like guar, pearl-millet, horticultural crops, etc. were also identified during this period but the major crops that were identified during Kharif season were Rice and Cotton

Machine Learning Techniques for Differential Diagnosis of Vertigo and Dizziness: A Review.

Vertigo is a sensation of movement that results from disorders of the inner ear balance organs and their central connections, with aetiologies that are often benign and sometimes serious. An individual who develops vertigo can be effectively treated only after a correct diagnosis of the underlying vestibular disorder is reached. Recent advances in artificial intelligence promise novel strategies for the diagnosis and treatment of patients with this common symptom. Human analysts may experience difficulties manually extracting patterns from large clinical datasets. Machine learning techniques can be used to visualize, understand, and classify clinical data to create a computerized, faster, and more accurate evaluation of vertiginous disorders. Practitioners can also use them as a teaching tool to gain knowledge and valuable insights from medical data. This paper provides a review of the literatures from 1999 to 2021 using various feature extraction and machine learning techniques to diagnose vertigo disorders. This paper aims to provide a better understanding of the work done thus far and to provide future directions for research into the use of machine learning in vertigo diagnosis

GREEN INDEXING OF HISAR MUNICIPAL CORPORATION USING GEOSPATIAL TECHNIQUES

Urban Green Space (UGS) enhances the structure of the landscape of a city. It provides economic, social and health benefits to the inhabitants. Rapid urbanization and increase in population has put extreme pressure on urban green spaces. Therefore, mapping of urban green spaces is important to facilitate the urban planning sustainably. This study has been taken up to map the UGS in the Hisar Municipal Corporation (HMC) area of Haryana State constituting an area of 4197.32 ha using high resolution LISS-IV data of November, 2017. Three different methods namely (a) Onscreen Digitization (b) Support Vector Machine-based classification (SVM) and (c) Multi Resolution Segmentation (MRS) have been tested to extract the green spaces. The onscreen digitization method has been considered as best method as compared to SVM and MRS because of the intervention of human mind and full control on manual editing. The SVM under estimated the green space for HMC with average relative deviation of 15%. However, it extracted the green area precisely without mixing of open spaces. MRS have given good results in terms of total area (relative deviation was 5%), however, spatial distribution of green spaces have been mixed with open spaces. The study identified the green index of HMC and suggested the suitability and sustainability of the city based on World Health Organization (WHO) defined standards. Green space for Hisar Municipal Corporation was 1690.96 ha with average urban green space index of 0.40. Per capita green cover for HMC was 9.69 m2/inhabitant, which is as per the standard reported by WHO i.e. 9 m2/inhabitant. Further study may suggest some other algorithm for better results and automatic green space extraction

Management of diseases and insect-pests of French bean in Northwestern Indian Himalayan region using integrated approaches

French bean (Phaseolus vulgaris L.) production is adversely affected by many pathogens and insect-pests worldwide. In the present investigation, effect of different bio-fortified composts, organic amendments, botanicals and pesticides were evaluated against diseases and insect- pests of french bean. The results showed that seed treatment and drenching with Trichoderma harzianum strain 11, followed by soil application of fortified farmyard manure resulted in the lowest root rot incidence, highest germination, vigour and yield in french bean. In another set of experiment, soil incorporation of Parthenium hysterophorus, Urtica dioicaandLantana camarawere found to reduce root rot incidence with high germination and pod yield. Among the bioproducts and botanicals tested, foliar spray of cow dung extract (50%) reduced angular leaf spot, rust and bacterial blight severity by 51, 69 and 25 per cent, respectively. Among the fungicides, foliar application of azoxystrobin 23 SC (0.1%) and difenoconazole 25EC (0.025%), also reduced angular leaf spot and rust severity by 93 and 90 per cent, respectively. Among different insect pest management strategies under field conditions, cartap hydrochloride and batain seed extract registered low sucking bug (Chauliops choprai) population. Integrated approaches including bio-agents, botanicals along with chemicals for managing these diseases and insect-pests were found appropriate options. Out of six different IPM modules evaluated, seed treatment with carbendazim along with foliar spray of 0.1% azoxystrobin and cartap hydrochloride resulted in lowest root rot, rust, angular leaf spot, bacterial blight and Chaulopsis choprai bug population in French bean

Exploring the Relationship between Postural Control and Brain Activity using Dual-Task Methodology

Understanding how attention is allocated during a balance task, when paired with competing cognitive tasks, can be used to develop therapeutic protocols for elderly individuals as well as those with particular disease conditions requiring a higher efficacy of balance control. Using dual-task methodology, a balance task was paired with a cognitive distractor task. Attention tradeoff between the two tasks was monitored using functional near-infrared spectroscopy (fNIRS), which measured oxygen utilization in various regions of the brain to determine how oxygen use patterns varied in single and dual-tasks. It was hypothesized that participants will prioritize balance/posture and cognitive task scores will drop, and that this performance pattern will be associated with particular patterns of frontal lobe oxygen utilization that can be detected with fNIRS. There were three test conditions, all while the subjects stood. The first condition was a cognitive task that required subjects to listen and identify the number of times they heard the ‘probe’ sound. The second condition was a balance control task that required the participant to sway about the ankles in response to light vibration applied to the abdomen and lower back. If the participant accurately responded to the vibration by swaying either forward or backward, they followed the programmed pattern. A sensor determined the subject’s error of movement. The third condition combined the two tasks. It was found that the dual-task condition resulted in extreme decline of cognitive task accuracy, suggesting that the balance task was prioritized in the non-threatening environment of the study.Health and Human Performance, Department ofHonors Colleg

Multivariate analysis of pearl millet data to delineate genetic variation

Loss of biodiversity not only disturbs the process of plant development aimed at genetic amelioration but also disrupts the fundamental services that ecosystems provided to humanity. Assessment of variability is a multidimensional problem. The multivariate statistics can help in a comparative assessment of genetic variability. A set of 66 lines of pearl millet was analyzed for cluster and principal component analysis (PCA). PCA identified six principal components which explained 77.7 per cent of total variability among the 66 genotypes. The PC1 characters –main ear weight, dry fodder weight, total ear weight, grain yield, growth rate and plant height, the major characters of plant biomass and the basis for grain yield contributed maximum 35.94 per cent variability among the lines. The remaining PCs accounted for progressively lesser and lesser amount of variability. The lowest contribution 5.27 per cent was recorded by PC 6, the characters grain starch, starch recovery and ear girth. Only grain starch contributed positively to all the six components. The genotypes 50 (77/371), 3 (IPC-115), 41 (204/2 MP), 12 (IPC-1462), 37 (TCH-37-1), 22 (TCH-10-1), 61 (1307), 14 (862-P2), 20 (TCH-3-2), 40 (204-2-3) were found to be better performers and diverse on the basis of principal factor scores with regard to grain yield and yield contributing characters. Hierarchical cluster analysis grouped 66 genotypes into six clusters, cluster 1 included maximum number of 21 genotypes and clusters 3 and 6 had the lowest number of 6 genotypes. The results on hierarchical cluster analysis almost mimicked the PCA. The grouping pattern of genotypes obtained by cluster analysis and PCA plots was almost similar. A wide range of diversity for most of the traits observed would enable to pick lines with suitable traits to be used in a breeding programme. Genetic diversity was not essentially associated with geographic diversity

Sensors for Harsh Environment: Radiation Resistant FBG Sensor System

This paper presents radiation resistant characteristics of fibre Bragg grating (FBG) sensors written in a photosensitive fiber and connected to a silica core radiation resistant optical fibre, aiming to develop a sensor system suitable for both sensing and data transmission in harsh environment. The silica core fluorine-down-doped clad optical fibre has been specifically designed and fabricated for this study using the modified chemical vapor deposition technique. Key waveguide parameters, including the width of the fluorine doped inner cladding have been optimized to obtain a low loss (<;0.2 dB/km) at the operating wavelength region of 1550 nm. The fibre fabrication process, mainly the deposition condition, has also been optimized to achieve smooth deposition and sintering of silica core layers, to minimize radiation induced absorption. As a result, radiation induced absorption of ~2.2 dB/km at 1550 nm under accumulated dose of 25 MRad at dose rate of 0.39 MRad/hr has been successfully achieved. To create an effective sensor system for harsh environmental conditions, this specialty fibre is connected to a number of FBGs (sensors) fabricated in photosensitive fibres prior to their extensive evaluations by being exposed to different accumulated dose of gamma radiation. Their corresponding Bragg wavelength shifts (BWS) and peak amplitudes were continuously monitored. It was found that the radiation induced BWS can be greatly reduced by shielding the sensors using stainless steel tubing. The temperature sensitivity and peak amplitude were found to be largely unchanged before and after exposure to Gamma radiation of 25 MRad which shows their potential use for temperature measurements in radiation environments with an uncertainty of around 0.1 °C