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6. Design and Optimization of Prosthetic Arm (Prototype Model)

Author

Jhaveri, Devanshi Akshay, Motgi, R. S., Mohite, S. K., Patil, N. P., Pawar, Prashant M., editor, Ronge, Babruvahan P., editor, Gidde, Ranjitsinha R., editor, Pawar, Meenakshi M., editor, Misal, Nitin D., editor, Budhewar, Anupama S., editor, More, Vrunal V., editor, and Reddy, P. Venkata, editor

Published
2024
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7. Farmers’ preferences and breeding practices for indigenous cattle breeds in breeding tract of Karnataka

Author

CHETHAN PATIL N D, K S KADIAN, SAPNA JARIAL, RAHUL DUNDESH BELLAGI, DAYANAND PATIL, SUJEET KUMAR JHA, and SABYASACHI MUKHERJEE

Subjects
Breeding practices, Indigenous cattle, Livelihood, Preferential traits, Animal culture, SF1-1100
Abstract

The present study aimed to assess the breeding practices, trait preferences, and selection criteria among farmers, rearing three Indigenous Cattle (IC) breeds, i.e. Amritmahal, Hallikar, and Malnad Gidda in Karnataka. Data were gathered from 360 cattle owners across six districts which were the breeding tract of breeds using a semi-structured questionnaire. The findings revealed that oestrous detection is primarily identified through bellowing (95.83%) and mounting (81.39%). Breeding practices vary, with 59.72% of farmers relying exclusively on natural service (NS), while 21.67% use artificial insemination (AI). Malnad Gidda rearing farmers exclusively use NS, reflecting the breed’s recent recognition and the limited availability of AI services. Farmers prioritise traits such as high adaptability, multi-utility, and easy maintenance, with variations specific to each breed. Amritmahal is valued for its multi-utility and traction power; Hallikar for its traction power and religious/cultural significance, and Malnad Gidda for its adaptability and easy maintenance. Selection of cows is heavily based on conformation traits, with udder size and pelvic width being the most critical across all breeds. The study highlights farmers’ diverse preferences and practices, shaped by the distinct characteristics and utilities of each IC breed. These insights can guide breeding programs and policy decisions focussed on preserving and enhancing indigenous cattle breeds.

Published
2024
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11. Powder Mixed Micro-Electric Discharge Machining—A Review

Author

Shinde, R. H., Raut, D. N., Patil, N. G., Dharmadhikari, S. R., Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Narasimham, G. S. V. L., editor, Babu, A. Veeresh, editor, Reddy, S. Sreenatha, editor, and Dhanasekaran, Rajagopal, editor

Published
2022
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12. Effects of MoS2-Based Biodegradable Cutting Fluids in MQL During Turning of Stainless Steel

Author

Patil, N. R., Waghole, D. R., Bewoor, A. K., Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Narasimham, G. S. V. L., editor, Babu, A. Veeresh, editor, Reddy, S. Sreenatha, editor, and Dhanasekaran, Rajagopal, editor

Published
2022
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13. Performance Analysis of Nonlinear Isothermal CSTR for Its Different Operating Conditions by Sliding Mode Controller Design

Author

Patil, N. S., Parvat, B. J., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Sahni, Manoj, editor, Merigó, José M., editor, Sahni, Ritu, editor, and Verma, Rajkumar, editor

Published
2022
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14. The Great Imitator - Disseminated Tuberculosis Presenting as Baker’s Cyst: A Case Report

Author

Shakya A, Patil N, Kakadiya G, and Soni Y

Subjects
tuberculous arthritis, pigmented villonodular synovitis, knee, delayed diagnosis, multifocal, Orthopedic surgery, RD701-811
Abstract

Tuberculosis is known to be a great mimicker, and it can present in a myriad of ways, which often result in an incorrect diagnosis. In a country that is endemic to tuberculosis, the presentation can take many forms ranging from tumour to trauma. We present a case of Baker’s cyst that was provisionally diagnosed as pigmented villonodular synovitis (PVNS) of the knee and eventually turned out to be tuberculous arthritis. A 46-year-old male presented with an insidious swelling on the posterior aspect of his knee for one year. Magnetic resonance imaging was suggestive of PVNS as the likely diagnosis. The patient presented 21 days later with a foot drop. On following-up with further investigations, he was found to have a lesion at the level of the L4-L5 spine. Chest radiograph changes were suggestive of tuberculosis. A synovial biopsy of the knee was done, and the tuberculosis culture report was positive. The patient was started on anti-tubercular treatment and then operated on, with arthroscopic synovectomy and posterior open cyst excision. The histology report was positive for tuberculous synovitis. The patient completed the course of anti- tubercular drugs and had physiotherapy. He demonstrated a clinically and radiologically healed disease at the final follow-up with a good functional outcome. Clinicians must have a high index of suspicion for tuberculosis, especially in endemic areas. Getting a chest radiograph is recommended in every case. Early diagnosis with the appropriate treatment will give a good functional outcome for the patient.

Published
2022
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15. Extra Pulmonary Tuberculosis in Pregnancy: A Case Report

Author

Annareddy Lakshmi Priya and Patil N Ravi

Subjects
antitubercular treatment, extra pulmonary tuberculosis, ileocecal mass, tuberculoma, Medicine
Abstract

Tuberculosis (TB) in pregnancy is a major health problem which possess a sustainable risk of morbidity to mother and fetus if not diagnosed and treated at correct time. The diagnosis in pregnancy is challenging, especially in the absence of lung involvement. It usually mimics other diseases as most of the patients with extra pulmonary TB present usually with nonspecific symptoms which misleads the diagnosis. Hence, it is very important to address even nonspecific symptoms in pregnancy as a neglected diagnosis and delayed treatment may lead to severe perinatal morbidity and mortality like fetal distress, preterm delivery, fetal growth retardation, seizures due to intra cranial space occupying lesion, perforation of intestinal lesions, pneumoperitonitis, high chances of intensive care unit admission for mother and neonate. Hereby, authors report two cases, one about a 29-year-old primigravida with numbness and paresthesia of unilateral limbs. She was diagnosed of intracranial tuberculoma and treated with Antitubercular Drugs (ATT) for nine months. She underwent a cesarean section in view of an intracranial space-occupying lesion. Another patient was a prima gravida who presented with persistent gastroenteritis symptoms like vomiting and diarrhea. She was diagnosed to have ileocecal mass with suspicion of malignancy or infectious aetiology. In view of deteriorating maternal condition, emergency cesarean section was done along with resection of ileocecal mass. On histopathological examination it was found to be ileocecal TB and she was started on ATT.

Published
2023
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16. Text Summarization of an Article Extracted from Wikipedia Using NLTK Library

Author

Kharade, K. G., Katkar, S. V., Patil, N. S., Sonawane, V. R., Kharade, S. K., Pawar, T. S., Kamat, R. K., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Singh, Mayank, editor, Tyagi, Vipin, editor, Gupta, P. K., editor, Flusser, Jan, editor, Ören, Tuncer, editor, and Sonawane, V. R., editor

Published
2021
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17. Predictive Modeling of Tandem Silicon Solar Cell for Calculating Efficiency

Author

Katkar, S. V., Kharade, K. G., Patil, N. S., Sonawane, V. R., Kharade, S. K., Kamat, R. K., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Singh, Mayank, editor, Tyagi, Vipin, editor, Gupta, P. K., editor, Flusser, Jan, editor, Ören, Tuncer, editor, and Sonawane, V. R., editor

Published
2021
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21. In-situ measurement methods for characterisation and diagnosis of airborne sound transmission through multi-layered building partitions

Author

Patil, N.

Subjects
620.2
Abstract

The thesis concerns with the development of novel measurement methods for characterisation and diagnosis of airborne sound transmission through building partitions. Using standard tests, the airborne sound insulation of partitions can be measured as the Sound Reduction Index ‘SRI’. While the SRI provides the frequency dependence of sound insulation (or transmission), the local/spatial sound transmission through various paths in the partition is not known. If the contributions of different paths in the partition can be measured then any weak paths of sound insulation can be diagnosed. This would be especially useful in the case of multi-layered partitions where the sound insulation depends on the sound transmission through point connections/ribs/studs/frame, etc. present in the structure. While different theoretical models are in place to predict the sound insulation in presence of such elements, the experimental diagnosis of their sound transfer contributions remains fairly unexplored. Similar diagnosis problems are encountered by automotive industry while dealing with structure borne sources in the vehicle. In practice, Transfer Path Analysis (TPA) methods are extensively used in such cases for diagnosing the contributions of different structure borne sources at vehicle interiors. Application of such TPA methods for diagnosing airborne sound transmission is challenging on various counts. Firstly, the airborne source applies a continuous excitation on the receiver as opposed to structure borne sources which are typically discrete. Secondly, for our study, the path contributions are desired which is difficult than measuring source characterisations. To address these issues, a novel TPA application Inverse-Airborne Source Contribution Analysis (I-ASCA) is devised which employs a patch based discretisation of the source receiver interface for the diagnosis of airborne sound transmission through partitions. Using such discretisation, the airborne excitation on the partition can be inversely characterised by blocked forces and the source contributions can be measured. Additionally, a new methodology Inverse Path Contribution Analysis (I-PCA) is outlined which allows for measurement of path contributions. These methodologies applied to the case of single and double layer partitions excited by airborne source and the accuracy of the methods was found to be within 2-3 dB of the measured response in general up to a maximum of 1 kHz under the tested grid size. The accuracy of the method is thus strictly linked to the discretisation size. A sampling criterion of λ_b/2 was found to be sufficient which is less demanding than sampling criterion utilised by finite element methods. The methods can be applied to >1 kHz range if the discretisation can be made finer. To improve the practical application of the methods, the Direct-Airborne Source Contribution Analysis (D-ASCA) is presented which allows for direct characterisation of the airborne excitation using contact pressures. The method is much faster than I-ASCA in providing source contributions however path contributions cannot be measured using this method and the accuracy of the method is also found to be within 2-3 dB. D-ASCA application has been presented for the case of commercial single and double casement windows. Using careful assumptions, it is possible to estimate the path contributions of the glazing and frame in the windows from the source contributions. The diagnosis allows comparing the path contributions in frequency regions up to 1 kHz and the weak path is identified. This shows the potential of the method in identifying the weak elements of sound insulation which can be used as a complement to the SRI data and can provide cues for improving the sound insulation of the partition. Lastly, an in-situ measurement method for airborne sound insulation measurement is presented which can be applied when a pressure doubling occurs at the surface. A novel approach has been presented to assess whether pressure doubling occurs on the surface and calculating the blocked pressures. This allows one to measure SRI in-situ using diagnostic measurements without the need of a separate standard test for measuring SRI. This showcases the versatility of the approaches in that the frequency dependence (SRI) and spatial dependence (path contributions) of sound insulation/transmission can be measured within a single approach.

Published
2018

25. Study of Flexural Behavior of Artificially Degraded Steel I Section Externally Bonded with GFRP, BFRP and CFRP by Using FEM

Author

Kamane, S. K., Patil, N. K., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Iyer, Brijesh, editor, Deshpande, P. S., editor, Sharma, S. C., editor, and Shiurkar, Ulhas, editor

Published
2020
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27. Diverging Views on Zero Budget Natural Farming (ZBNF): Insights from Farmers in Northern Karnataka.

Author

Patil, Dayananda, Jha, S. K., Bellagi, Rahul Dundesh, Priyanka, B. N., Gunashekhar, H., and Chethan Patil, N. D.

Subjects
AGRICULTURE, KRUSKAL-Wallis Test, PLANNERS, HEALTH products, FARMERS, ADOPTIVE parents
Abstract

Zero Budget Natural Farming (ZBNF) is promoted as an alternative farming method to achieve sustainability and build a climate-resilient agricultural system. The perception of farmers towards ZBNF determines its adoption. For the study was conducted in 2020 two districts of Northern Karnataka were chosen and respondents were categorised into adopters, planners, and non-adopters. From each group, 50 respondents were selected. The Kruskal-Wallis test was conducted to test the significant difference followed by the post hoc Dunn-Bonferroni test. Significant differences were found in 13 out of 15 statements, particularly concerning the necessity of indigenous cattle (H = 16.71, p < 0.001), labour intensity (H = 17.59, p < 0.001), and the reduction in yield during the first year of ZBNF (H = 32.16, p < 0.01). Planners and adopters differed significantly on statements such as ZBNF's labour-intensive nature (p = 0.006) and its independence from heavy machinery (p = 0.003). The Dunn-Bonferroni post hoc test highlighted differences across three groups on statements like all types of crops can be cultivated in ZBNF and there is no pesticidal residual effect of ZBNF products on human health. These distinct perceptions highlight the need for targeted outreach strategies based on farmers' perception. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Retroperitoneal Ancient Schwannoma

Author

Patil, N, Joshi, S, and Kakkilaya, Dr Srinivas

Subjects
JOURNALS: Online Journal of Health and Allied Sciences, Online Journal of Health and Allied Sciences
Abstract

Schwannomas are rare tumors which arise from nerve sheath and are mostly benign in nature. They are usually located in the head, neck and flexor surfaces of extremities. Schwannomas are very rare in the retroperitoneal region. Amongst all schwannomas 0.7% of benign ones and 1.7% of malignant ones are located in the retroperitoneum. Preoperative diagnosis is difficult because of vague symptoms. We report a case of retroperitonal schwannoma in a 70 years female patient because of its rarity and unusual location.

Published
2014

33. Drought Monitoring with Drones: A Hundred Fields at a Time

Author

Moyer, W, Patil, N, Toffoli, E, Hadi, N, Guan, A, and Goings, S

Subjects
Earth Resources And Remote Sensing, Cybernetics, Artificial Intelligence And Robotics
Abstract

Drought frequency and severity are likely to increase due to global warming. Droughts already have a substantial negative influence on agriculture and the economy and finding ways to reduce their effects could have a monumental impact. Although NASA already has satellites deployed to collect drought data, these satellites are more for global drought indexing than local. To alleviate droughts on a local level, this paper proposes the use of drones to map soil moisture, plant health, and other drought indicators. The proposed drone design is a fixed-wing UAV equipped with a hyperspectral camera, a LiDAR sensor, and an array of weather sensors. These tools will permit it to reliably capture the necessary data to enhance suggestions on improving drought management practices. The collected data from the drones will be deployable in many ways, including for agricultural and non-agricultural applications. The hyperspectral camera has applications in monitoring the health of crops within a field to direct relief measures to the crops most in need. Thermal and LiDAR imaging can be deployed for locating leaks, predicting shortages of water bodies, and determining a field’s water needs. To implement a drought-monitoring drone, the recommended steps include building a prototype drone design that is equipped with the outlined instruments. The prototype drone could then be deployed to collect training data to guide a neural network that would provide interpretations and predictions from the data for users. After the prototype design is iterated upon, it will be ready for deployment and inform water management methods to serve the world in our battle against drought.

Published
2022

34. PmxPred: A data-driven approach for the identification of active polymyxin analogues against gram-negative bacteria

Author

Wang, X, Patil, N, Li, F, Wang, Z, Zhan, H, Schmidt, D, Thompson, P, Guo, Y, Landersdorfer, CB, Shen, H-H, Peleg, AY, Li, J, Song, J, Wang, X, Patil, N, Li, F, Wang, Z, Zhan, H, Schmidt, D, Thompson, P, Guo, Y, Landersdorfer, CB, Shen, H-H, Peleg, AY, Li, J, and Song, J

Abstract

The multidrug-resistant Gram-negative bacteria has evolved into a worldwide threat to human health; over recent decades, polymyxins have re-emerged in clinical practice due to their high activity against multidrug-resistant bacteria. Nevertheless, the nephrotoxicity and neurotoxicity of polymyxins seriously hinder their practical use in the clinic. Based on the quantitative structure-activity relationship (QSAR), analogue design is an efficient strategy for discovering biologically active compounds with fewer adverse effects. To accelerate the polymyxin analogues discovery process and find the polymyxin analogues with high antimicrobial activity against Gram-negative bacteria, here we developed PmxPred, a GCN and catBoost-based machine learning framework. The RDKit descriptors were used for the molecule and residues representation, and the ensemble learning model was utilized for the antimicrobial activity prediction. This framework was trained and evaluated on multiple Gram-negative bacteria datasets, including Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa and a general Gram-negative bacteria dataset achieving an AUROC of 0.857, 0.880, 0.756, 0.895 and 0.865 on the independent test, respectively. PmxPred outperformed the transfer learning method that trained on 10 million molecules. We interpreted our model well-trained model by analysing the importance of global and residue features. Overall, PmxPred provides a powerful additional tool for predicting active polymyxin analogues, and holds the potential elucidate the mechanisms underlying the antimicrobial activity of polymyxins. The source code is publicly available on GitHub (https://github.com/yanwu20/PmxPred).

Published
2024

36. Correction: Epidemiology and outcomes of early-onset AKI in COVID-19-related ARDS in comparison with non-COVID-19-related ARDS: insights from two prospective global cohort studies (Critical Care, (2023), 27, 1, (3), 10.1186/s13054-022-04294-5)

Author

McNicholas B. A., Mcnicholas, B, Rezoagli, E, Simpkin, A, Khanna, S, Suen, J, Yeung, P, Brodie, D, Bassi, G, Pham, T, Bellani, G, Fraser, J, Laffey, J, Al-Dabbous, T, Alfoudri, H, Shamsah, M, Alhadad, Q, Hanan, M, Elapavaluru, S, Berg, A, Horn, C, Abdelhalim, A, Amer, A, Elnaggar, C, Hassan, A, Abdelaziz, A, Abdelhalim, M, Orabi, Y, Alaraji, Z, Muhaisen, M, Almasri, L, Mustafa, D, Hamdan, S, Al-Saba'a, Y, Dalloul, Z, Alkahlout, M, Jaber, H, Aldabbourosama, O, Hussein, A, Emad, Z, Khaled, S, Mohamed, N, Hassanin, E, Hamdi, A, Ragab, A, Azizeldin, M, Mayasi, Y, Schroll, S, Meyer, D, Velazco, J, Ploskanych, L, Fikes, W, Bagewadi, R, Dao, M, White, H, Laviena, A, Ehlers, A, Shalabi-McGuire, M, Witt, T, Grazioli, L, Lorini, L, Grandin, E, Nunez, J, Reyes, T, O'Briain, D, Hunter, S, Ramanan, M, Affleck, J, Veerendra, H, Rai, S, Russell-Brown, J, Nourse, M, Joseph, M, Mitchell, B, Tenzer, M, Abe, R, Cho, H, Jeong, I, Rahman, N, Kakar, V, Sun, H, Hanley, A, Brozzi, N, Mehkri, O, Krishnan, S, Duggal, A, Houltham, S, Graf, J, Diaz, R, Orrego, R, Delgado, C, Gonzalez, J, Sanchez, M, Piagnerelli, M, Sarrazin, J, Zabert, G, Espinosa, L, Delgado, P, Delgado, V, Rincon, D, Yanten, A, Duque, M, Abouelmagd, K, Elhazmi, A, Al-Hudaib, A, Javidfar, J, Callahan, M, Dong, A, D'Orleans, C, Taufik, M, Wardoyo, E, Gunawan, M, Trisnaningrum, N, Irawany, V, Rayhan, M, Panigada, M, Pesenti, A, Zanella, A, Grasselli, G, Colombo, S, Martinet, C, Florio, G, Antonelli, M, Carelli, S, Grieco, D, Asaki, M, Hoshino, K, Salazar, L, Monsalve, M, Cosgrave, D, Atif, M, Qutishat, F, Laffey, C, Van Der Walt, M, Mccaffrey, J, Bone, A, Hakeem, Y, Winearls, J, Tallott, M, Thomson, D, Joubert, I, Arnold-Day, C, Piercy, J, van Zyl Smit, R, Miller, M, Seymour, L, van Heyningen, F, Teyangesikayi, G, Fredericks, D, Hssain, A, Aliudin, J, Alqahtani, A, Mohamed, K, Mohamed, A, Tan, D, Villanueva, J, Zaqout, A, Kurtzman, E, Ademi, A, Dobrita, A, El Aoudi, K, Segura, J, Giwangkancana, G, Ohshimo, S, Osatnik, J, Joosten, A, Torres, A, Yang, M, Motos, A, Luna, C, Arancibia, F, Williams, V, Noel, A, Luque, N, Fantini, M, Garcia, R, Alvarez, E, Greti, A, Ceccato, A, Sanchez, A, Vazquez, A, Roche-Campo, F, Franch-Llasat, D, Tuazon, D, Amato, M, Cassimiro, L, Pola, F, Ribeiro, F, Fonseca, G, Dalton, H, Desai, M, Osborn, E, Deeb, H, Arcadipane, A, Martucci, G, Panarello, G, Vitiello, S, Bianco, C, Occhipinti, G, Rossetti, M, Cuffaro, R, Cho, S, Whitman, G, El Sayed, M, Mokhtar, W, El-Shenawy, E, Shimizu, H, Moriyama, N, Kim, J, Kitamura, N, Gebauer, J, Yokoyama, T, Al-Fares, A, Buabbas, S, Alamad, E, Alawadhi, F, Alawadi, K, Khalefa, M, Al Ajeel, N, Aly, M, Al-Saleh, A, Naanouh, A, Elshourbgy, A, Gad, M, Elrazaz, R, Khadadah, I, Almumin, A, Altarakma, H, Albannay, H, Alsaleh, M, Radwan, M, Saadallah, I, Tanaka, H, Hashimoto, S, Yamazaki, M, Oh, T, Epler, M, Forney, C, Kruse, L, Feister, J, Williamson, J, Grobengieser, K, Gnall, E, Golden, S, Caroline, M, Shapiro, T, Karaj, C, Thome, L, Sher, L, Vanderland, M, Welch, M, Mcdermott, S, Brain, M, Mineall, S, Unwin, M, Chen, L, Trezise, T, Mckeon, L, Kimura, D, Brazzi, L, Sales, G, Montrucchio, G, Ogston, T, Nagpal, D, Fischer, K, Lorusso, R, van Bussell, B, De Piero, M, Mariani, S, Rangappa, R, Shetty, R, Rai, P, Ganesan, A, Esperatti, M, Fuentes, N, Gonzalez, M, Carton, E, Sen, A, Palacios, A, Rainey, D, Samoukoviv, G, Campisi, J, Durham, L, Neumann, E, Seefeldt, C, Falcucci, O, Emmrich, A, Guy, J, Johns, C, Potzner, K, Zimmermann, C, Espinal, A, Buchtele, N, Schwameis, M, Korhnfehl, A, Brock, R, Staudinger, T, Stecher, S, Barnikel, M, Anton, S, Pawlikowski, A, Zaaqoq, A, Galloway, L, Merley, C, Nichol, A, Csete, M, Quesada, L, Saba, I, Kasugai, D, Hiraiwa, H, Tanaka, T, Marwali, E, Purnama, Y, Dewayanti, S, Ardiyan, Juzar, D, Siagian, D, Chen, Y, Ogino, M, Nasa, P, Matthew, C, Majeed, N, Ratsep, I, Post, A, Sillaots, P, Krund, A, Lehiste, M, Lepik, T, Manetta, F, Mihelis, E, Sarmiento, I, Narasimhan, M, Varrone, M, Komats, M, Garcia-Diaz, J, Harmon, C, Satyapriya, S, Bhatt, A, Mokadam, N, Uribe, A, Gonzalez, A, Shi, H, Mckeown, J, Pasek, J, Fiorda, J, Echeverria, M, Moreno, R, Zakhary, B, Cavana, M, Cucino, A, Foti, G, Giani, M, Fumagalli, B, Chiumello, D, Castagna, V, Dell'Amore, A, Navalesi, P, Shum, H, Vuysteke, A, Usman, A, Acker, A, Smood, B, Mergler, B, Sertic, F, Subramanian, M, Sperry, A, Rizer, N, Burhan, E, Rasmin, M, Akmal, E, Sitompul, F, Lolong, N, Naivedh, B, Erickson, S, Barrett, P, Dean, D, Daugherty, J, Loforte, A, Khan, I, Quraishi, M, Desantis, O, So, D, Kandamby, D, Mandei, J, Natanael, H, Yudhalantang, E, Lantang, A, Wijaya, S, Jung, A, Ng, G, Ng, W, Ng, P, Fang, S, Tabah, A, Ratcliffe, M, Duroux, M, Alajeeli, A, Tarhabat, A, Adachi, S, Nakao, S, Blanco, P, Prieto, A, Sanchez, J, Nicholson, M, Butt, W, Serratore, A, Delzoppo, C, Janin, P, Yarad, E, Totaro, R, Coles, J, Pujo, B, Balk, R, Vissing, A, Kapania, E, Hays, J, Fox, S, Yantosh, G, Mishin, P, Yuliarto, S, Santoso, K, Djajalaksana, S, Fatoni, A, Fukuda, M, Liu, K, Pelosi, P, Battaglini, D, Jimenez, J, Bastos, D, Gaiao, S, Rusmawatiningtyas, D, Cho, Y, Lee, S, Kawasaki, T, Munshi, L, Sakiyalak, P, Nitayavardhana, P, Elagili, M, Salem, T, Seitz, T, Arora, R, Kent, D, Marino, D, Parwar, S, Cheng, A, Miller, J, Fujitani, S, Shimizu, N, Madhok, J, Owyang, C, Buscher, H, Reynolds, C, Maasikas, O, Aleksanbeljantsev, Mihnovits, V, Akimoto, T, Aizawa, M, Horibe, K, Onodera, R, Hodgson, C, Burrell, A, Young, M, George, T, Shekar, K, Mcguinness, N, Irvine, L, Flynn, B, Endo, T, Sugiyama, K, Shimizu, K, Fan, E, Exconde, K, Ichiba, S, Binnawara, M, Lussier, L, Lotz, G, Malfertheiner, M, Maier, L, Dreier, E, Kusumastuti, N, Mccloskey, C, Dabaliz, A, Elshazly, T, Smith, J, Szuldrzynski, K, Bielanski, P, Wille, K, Murthy, S, Parhar, K, Fiest, K, Codan, C, Shahid, A, Fayed, M, Evans, T, Gutierrez, A, Song, T, Rose, R, Bennett, S, Richardson, D, Peek, G, Arora, L, Rappapport, K, Rudolph, K, Sibenaller, Z, Stout, L, Walter, A, Herr, D, Vedadi, 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M., Metiva J., Van Belle N., Martin-Loeches I., Al-Sadawi M., Kirakli C., Shimaa A. -T., Abdurraouf A., Ivatt L., Moharam S., Woon C. Y., Kang H. M., Smith T., James E., Al-Rawas N., Almjersah A., Iwasaki Y., Ashour H., Embarek H., King-Chung K. C., Gudzenko V., Taccone F., Perdhana F., Lamarche Y., Ribeiro J. M., Bradic N., Van den Bossche K., Lansink O., Singh G., Debeuckelaere G., Stelfox H. T., Yi C., Elia J., Tribble T., Shankar S., Padmanabhan R., Hallinan B., Paoletti L., Leyva Y., Fykuda T., Badulak J., Koch J., Janowaik L., Hackman A., Hernandez D., Osofsky J., Donadello K., Lawang A., Fine J., Davidson B., Vazquez A. O. R., and Abdehaleem I.

Abstract

Following publication of the original article [1], the authors identified that the collaborating authors part of the collaborating author group CCCC Consortium was missing. The collaborating author group is available and included as Additional file 1 in this article.

Published
2023

40. Assessing the utility of Munsell soil color in building and evaluating spectral models for soil clay content prediction.

Author

Dharumarajan, S., Gomez, C., Lalitha, M., Vasundhara, R., Hegde, R., and Patil, N. G.

Subjects
SOIL color, CLAY soils, PARTIAL least squares regression, RED soils, BLACK cotton soil
Abstract

The present study examined how the use of soil color can help build and evaluate clay content prediction models from laboratory visible and near infrared spectroscopic data. This study was based on a regional database containing 449 soil samples collected over Karnataka state in India, which has been divided into red soils (240 samples) and black soils (209 samples) based on their Munsell soil color. Partial least squares regression models were calibrated and validated from both the regional datasets and subsets stratified as red and black soils. In addition, a random forest model was used to classify the validation soil samples into black and red classes to evaluate models' performance. First, while the clay content predicted by the regression model built from regional data was evaluated as correct at regional scale (R2val of 0.75), this model was evaluated as more accurate over black (R2val of 0.8) than red (R2val of 0.63) soil samples. Second, the regression models built from subsets stratified per soil color provided different performances than the regression model built from the regional data, both at the regional scale and soil color scale. In conclusion, this study demonstrated that (1) predictions are highly dependent on calibration data, (2) the interpretation of prediction performances relies heavily on validation data, and (3) pedological knowledge, such as soil color, can be effectively employed as an encouraging covariate in both the construction and evaluation of regression models. Core Ideas: Prediction of clay from visible and near infrared spectroscopy was analyzed based on soil color.Models were calibrated from regional database and subsets stratified by soil color.Global model yielded over‐ and underestimation of accuracy over red and black soils, respectively.Predictions are highly dependent on the calibration dataset.Model performance evaluation is highly dependent on validation data stratification. [ABSTRACT FROM AUTHOR]

Published
2024
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46. Sensitivity Pattern Of Salmonella typhi And Paratyphi A Isolates To Chloramphenicol And Other Anti-Typhoid Drugs: An In Vitro Study

Author

Patil N and Mule P

Subjects
Antimicrobial susceptibility, Chloramphenicol, Etest, Minimum inhibitory concentration, Salmonella, Infectious and parasitic diseases, RC109-216
Abstract

Niranjan Patil, Prashant Mule Microbiology and Molecular Biology Department, Metropolis Healthcare Limited, Mumbai, IndiaCorrespondence: Niranjan PatilMetropolis Healthcare Limited, Mumbai, IndiaTel +91 8452815696Email niranjan.patil@metropolisindia.comPurpose: To investigate the antimicrobial sensitivity pattern of commonly prescribed antimicrobials (chloramphenicol, cefixime, ofloxacin, azithromycin, and ceftriaxone) against Salmonella enterica isolates.Methods: Blood culture positive isolates of S. typhi and S. paratyphi A (N = 251) received at Metropolis Healthcare Limited (Mumbai, India) from four zones of India (North, South, West, and East) between April and August 2018 were tested for antimicrobial susceptibility by E-test method. Based on the minimum inhibitory concentration (MIC), the organism was categorized as sensitive, intermediate, and resistant against the respective antibiotics as per Clinical and Laboratory Standards Institute criteria 2018.Results: Out of 251 Salmonella isolates, 192 (76.5%) were S. typhi and 59 (23.5%) were S. paratyphi A. All 251 (100%) Salmonella isolates were sensitive to cefixime, ceftriaxone, and azithromycin; 237/251 (94.4%) isolates to chloramphenicol and only 9/251 (3.6%) isolates were sensitive to ofloxacin. Based on average MIC and MIC breakpoints, Salmonella isolates were found to be sensitive to chloramphenicol (MIC: 3.89±6.94 μg/mL), cefixime (MIC: 0.13±0.11 μg/mL), azithromycin (MIC: 3.32±2.19 μg/mL), and ceftriaxone (MIC: 0.11±0.18 μg/mL) and resistant to ofloxacin (MIC: 2.95±6.06 μg/mL). More than 20% of Salmonella isolates had MICs of chloramphenicol as 1.5 μg/mL (27.85% isolates) and 2 μg/mL (29.53% isolates).Conclusion: Our study confirms the re‑emergence of susceptibility of Salmonella isolates to chloramphenicol. Further, the concern about fluoroquinolone-decreased susceptibility as indicated by the intermediate susceptibility or resistance was reiterated in this study. Though cefixime, azithromycin, and ceftriaxone showed susceptibility, the possibility of antibiotic resistance with the irrational use of these antibiotics cannot be deterred. This study thus emphasizes the need for continuous evaluation and judicious use of antimicrobials, considering the ever-changing landscape.Keywords: antimicrobial susceptibility, chloramphenicol, Etest, minimum inhibitory concentration, Salmonella

Published
2019

50. Variable - temperature scanning optical and force microscope

Author

Fodor, P. S., Zhu, H., Patil, N. G., and Levy, J.

Subjects
Condensed Matter - Other Condensed Matter
Abstract

The implementation of a scanning microscope capable of working in confocal, atomic force and apertureless near field configurations is presented. The microscope is designed to operate in the temperature range 4 - 300 K, using conventional helium flow cryostats. In AFM mode, the distance between the sample and an etched tungsten tip is controlled by a self - sensing piezoelectric tuning fork. The vertical position of both the AFM head and microscope objective can be accurately controlled using piezoelectric coarse approach motors. The scanning is performed using a compact XYZ stage, while the AFM and optical head are kept fixed, allowing scanning probe and optical measurements to be acquired simultaneously and in concert. The free optical axis of the microscope enables both reflection and transmission experiments to be performed., Comment: 24 pages, 9 figures, submitted to the journal "Review of Scientific Instruments"

Published
2004
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