P-183

Bhattacharya, J.; Kundu, Sudip; Varghese, Alex C.; Bhattacharya, Saurav; Bhattacharyya, A.; Agarwal, Ashok

doi:10.1016/j.fertnstert.2006.07.533

Cited by 6 publications

(4 citation statements)

References 0 publications

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“…These changes are driven by alterations in water management, soil conditions, and crop establishment methods. Understanding the intricate interplay between nutrient availability, uptake, and utilization in DSR systems is essential for optimizing fertilizer management and ensuring sustainable crop productivity [6,7].…”

Section: Nutrient Dynamics In Direct Seeded Rice Systemsmentioning

confidence: 99%

Soil Health Management in Direct Seeded Rice: Exploring Nutrient Dynamics and Soil Microbial Communities

Sangeetha,

Mohanty,

Laxman

et al. 2024

JSRR

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Direct Seeded Rice (DSR) has emerged as a sustainable alternative to traditional transplanting methods, offering water and labor savings. However, the shift to DSR practices raises questions about soil health management. This review delves into the intricate relationship between nutrient dynamics and soil microbial communities in DSR systems. The review elucidates the impact of DSR on nutrient cycling, discusses the alterations in soil microbial diversity and functions, and explores strategies to enhance soil health in DSR. By addressing these aspects, the review offers insights into the complexities of DSR from a soil health perspective and highlights research gaps for future exploration.

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Section: Nutrient Dynamics In Direct Seeded Rice Systemsmentioning

confidence: 99%

Soil Health Management in Direct Seeded Rice: Exploring Nutrient Dynamics and Soil Microbial Communities

Sangeetha,

Mohanty,

Laxman

et al. 2024

JSRR

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“…The task of understanding such documents can be made easy by semantic segmentation of documents via rhetorical role labeling. This technology holds promise for a range of downstream applications, including semantic search [15], enhancing comprehension of case rulings for legal professionals and the general public alike, document summarization [20,7], document similarity assessment [2], and beyond. The process of rhetorical role labeling poses considerable challenges due to the inherent lack of structure in legal case documents [22,2].…”

Section: Introductionmentioning

confidence: 99%

“…This technology holds promise for a range of downstream applications, including semantic search [15], enhancing comprehension of case rulings for legal professionals and the general public alike, document summarization [20,7], document similarity assessment [2], and beyond. The process of rhetorical role labeling poses considerable challenges due to the inherent lack of structure in legal case documents [22,2]. Sections within these documents are frequently intertwined, such as the Ratio of the Decision (which explains the application of law in reaching a verdict) often being interspersed with Precedents and Statutes.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Semantic Segmentation for Legal Texts: Unveiling Rhetorical Roles in Legal Case Documents

Mohan,

Nair

2024

E3S Web of Conf.

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The swift rise of digitization in legal documentation has opened doors for artificial intelligence to revolutionize various tasks within the legal domain. Among these tasks is the segmentation of legal documents using rhetorical labels. This process, known as rhetorical role labeling, involves assigning labels (such as Final Judgment, Argument, Fact, etc.) to sentences within a legal case document. This task can be down streamed to various major legal analytics problems such as summarization of legal documents, readability of lengthy case documents, document similarity estimation, etc. The mentioned task of semantic segmentation of documents via labels is challenging as the legal documents are lengthy, unstructured and the labels are subjective in nature. Various previous works on automatic rhetorical role labeling was carried out using methods like conditional random fields with handcrafted features, etc. This research focuses on analyzing case documents from two different legal systems: the High Court of Kerala and the High Court of Justice in the United Kingdom. Through rigorous experimentation with a range of deep learning models, this study highlights the robustness and efficacy of deep learning methods in accurately labeling rhetorical roles within legal texts. Additionally, comprehensive annotation of legal case documents from the UK and analysis of inter-annotator agreement are conducted. The overarching objective of this research is to design systems that facilitate a deeper comprehension of the organizational structure inherent in legal case documents.

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“…"The most effective system of cooling a man is to subjective him to anesthesia" as Pickering wrote in 1956 [1] , Hypothermia result is an important complication Shivering, which is a complicated response of the body resulting in a pattern of muscular activity. Due to thermoregulatory response to cold, shivering occurs following general or neuraxial anesthesia.…”

Section: Introductionmentioning

confidence: 99%

Comparing the efficacy of prophylactic use of hydrocortisone and low dose ketamine for prevention of shivering under spinal anesthesia

Kumar¹,

Thirumaaran²,

.³

2020

Int. J. Med. Anesthesiology

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Introduction: The thermoregulatory system plays an important role in coordinate the defense system against the environment in regulating the normal body temperature in homoeothermic species. Hypothermia result is an important complication-Shivering, which is a complicated response of the body resulting in a pattern of muscular activity. Aim: This study aims to compare the efficacy of I.v. hydrocortisone with I.v. low dose ketamine for prevention of shivering during spinal anesthesia. Material & Methods: A Prospective Randomized trial with a sample size of 60 where patients allocated randomly using slot into 2 groups of Group-H (n=30) who received Inj. Hydrocortisone 2mg/kg and Group K (n=30) who received Inj. Ketamine 0.25mg/kg undergoes lower abdominal surgery under spinal anesthesia with 0.5% Bupivacaine of dosage 3ml. Parameters such as heart rate, blood pressure, oxygen saturation, temperature, were observed intraoperatively and postoperatively. The shivering grade, sedation score, patient requiring Inj. Pethidine as a rescue dose, motor, and sensory block was observed along with any side effects such as bradycardia, hypotension, or desaturation. Result: In this study, there was no statistically significant difference (p>0.05) between the two drug groups in the grades of shivering. Clinically there were lower grades of shivering in the Hydrocortisone group when compared to the ketamine group at all timelines. Conclusion: I.v. hydrocortisone 2mg/kg compared with the low dose I.v. ketamine 0.25mg/kg was clinically effective in reducing the incidence and intensity of shivering under spinal anesthesia on prophylactic use for lower abdominal surgery.

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P-183

Cited by 6 publications

References 0 publications

Soil Health Management in Direct Seeded Rice: Exploring Nutrient Dynamics and Soil Microbial Communities

Soil Health Management in Direct Seeded Rice: Exploring Nutrient Dynamics and Soil Microbial Communities

Deep Learning-Based Semantic Segmentation for Legal Texts: Unveiling Rhetorical Roles in Legal Case Documents

Comparing the efficacy of prophylactic use of hydrocortisone and low dose ketamine for prevention of shivering under spinal anesthesia

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