Methods of increasing resistance of crop plants to heat stress and selecting crop plants with increased resistance to heat stress

Methods of increasing the resistance of a crop plant to heat stress and in particular methods of improving the grain yield and quality of crop plants grown under heat stress in the form of increased minimal temperatures are provided. The methods include selecting plants with increased expression of HYR and growing these plants in regions expected to experience minimal temperatures above 25.degree. C. during the growing season. Methods of screening plants for increased resistance to heat stress and methods of producing grain in regions having minimal temperatures of 25.degree. C. or more are also provided

Methods of increasing resistance of crop plants to heat stress and selecting crop plants with increased resistance to heat stress

Methods of increasing the resistance of a crop plant to heat stress and in particular methods of improving the grain yield and quality of crop plants grown under heat stress in the form of increased minimal temperatures are provided. The methods include selecting plants with increased expression of HYR and growing these plants in regions expected to experience minimal temperatures above 25 degree C. during the growing season. Methods of screening plants for increased resistance to heat stress and methods of producing grain in regions having minimal temperatures of 25 degree C. or more are also provided

Nivolumab-induced immune mediated eczematous dermatitis in patient with carcinoma of buccal mucosa

An elderly man undergoing treatment for carcinoma of left buccal mucosa experienced the appearance of skin lesions on his chest, both upper limbs, and both lower limbs after receiving the first cycle of nivolumab therapy. A biopsy report confirmed that the patient had eczematous dermatitis, which was believed to be induced by nivolumab. Patient received symptomatic treatment with Prednisolone, Clobetasol propionate and Fusidic acid. The Skin lesions improved, and subsequently Framycetin cream was recommended, resulting in no further recurrence of lesion. Clinicians should remain vigilant about development of T-cell activation-related skin disorders when administrating immune checkpoint inhibitors, such as nivolumab

Robust Networked Federated Learning for Localization

This paper addresses the problem of localization, which is inherently non-convex and non-smooth in a federated setting where the data is distributed across a multitude of devices. Due to the decentralized nature of federated environments, distributed learning becomes essential for scalability and adaptability. Moreover, these environments are often plagued by outlier data, which presents substantial challenges to conventional methods, particularly in maintaining estimation accuracy and ensuring algorithm convergence. To mitigate these challenges, we propose a method that adopts an $L_1$-norm robust formulation within a distributed sub-gradient framework, explicitly designed to handle these obstacles. Our approach addresses the problem in its original form, without resorting to iterative simplifications or approximations, resulting in enhanced computational efficiency and improved estimation accuracy. We demonstrate that our method converges to a stationary point, highlighting its effectiveness and reliability. Through numerical simulations, we confirm the superior performance of our approach, notably in outlier-rich environments, which surpasses existing state-of-the-art localization methods

Moreau Envelope ADMM for Decentralized Weakly Convex Optimization

This paper proposes a proximal variant of the alternating direction method of multipliers (ADMM) for distributed optimization. Although the current versions of ADMM algorithm provide promising numerical results in producing solutions that are close to optimal for many convex and non-convex optimization problems, it remains unclear if they can converge to a stationary point for weakly convex and locally non-smooth functions. Through our analysis using the Moreau envelope function, we demonstrate that MADM can indeed converge to a stationary point under mild conditions. Our analysis also includes computing the bounds on the amount of change in the dual variable update step by relating the gradient of the Moreau envelope function to the proximal function. Furthermore, the results of our numerical experiments indicate that our method is faster and more robust than widely-used approaches

Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties

This paper investigates quantile regression in the presence of non-convex and non-smooth sparse penalties, such as the minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD). The non-smooth and non-convex nature of these problems often leads to convergence difficulties for many algorithms. While iterative techniques like coordinate descent and local linear approximation can facilitate convergence, the process is often slow. This sluggish pace is primarily due to the need to run these approximation techniques until full convergence at each step, a requirement we term as a \emph{secondary convergence iteration}. To accelerate the convergence speed, we employ the alternating direction method of multipliers (ADMM) and introduce a novel single-loop smoothing ADMM algorithm with an increasing penalty parameter, named SIAD, specifically tailored for sparse-penalized quantile regression. We first delve into the convergence properties of the proposed SIAD algorithm and establish the necessary conditions for convergence. Theoretically, we confirm a convergence rate of $o\big({k^{-\frac{1}{4}}}\big)$ for the sub-gradient bound of augmented Lagrangian. Subsequently, we provide numerical results to showcase the effectiveness of the SIAD algorithm. Our findings highlight that the SIAD method outperforms existing approaches, providing a faster and more stable solution for sparse-penalized quantile regression

Drought Stress Acclimation Imparts Tolerance to Sclerotinia sclerotiorum and Pseudomonas syringae in Nicotiana benthamiana

Acclimation of plants with an abiotic stress can impart tolerance to some biotic stresses. Such a priming response has not been widely studied. In particular, little is known about enhanced defense capacity of drought stress acclimated plants to fungal and bacterial pathogens. Here we show that prior drought acclimation in Nicotiana benthamiana plants imparts tolerance to necrotrophic fungus, Sclerotinia sclerotiorum, and also to hemi-biotrophic bacterial pathogen, Pseudomonas syringae pv. tabaci. S. sclerotiorum inoculation on N. benthamiana plants acclimated with drought stress lead to less disease-induced cell death compared to non-acclimated plants. Furthermore, inoculation of P. syringae pv. tabaci on N. benthamiana plants acclimated to moderate drought stress showed reduced disease symptoms. The levels of reactive oxygen species (ROS) in drought acclimated plants were highly correlated with disease resistance. Further, in planta growth of GFPuv expressing P. syringae pv. tabaci on plants pre-treated with methyl viologen showed complete inhibition of bacterial growth. Taken together, these experimental results suggested a role for ROS generated during drought acclimation in imparting tolerance against S. sclerotiorum and P. syringae pv. tabaci. We speculate that the generation of ROS during drought acclimation primed a defense response in plants that subsequently caused the tolerance against the pathogens tested

Thermal management system for more electric aircraft avionics using evaporative spray cooling

The aerospace industry is performing in today’s market at a narrow margin in achieving system performance and operating costs. The avionics is consuming a decent amount of energy for electronic equipment which heats up and releases heat into the system. The effective cooling system is required to be designed for aero applications which play a major role in reducing weight and operating costs. Jet impingement has been an attractive cooling option in several industries over the past few decades. Over the years, jet impingement has been explored as a cooling option in microelectronics. The main purpose of this study is to explore the potential of the evaporative spray cooling method from a modelling perspective in more electric aircraft avionics, primarily from a heat transfer viewpoint. Boiling and evaporative liquid jets provide high heat transfer coefficients (> 20,000 W/m2 K), which makes them attractive for electronic cooling applications. A zero-dimensional methodological approach is proposed, and its effectiveness is confirmed via a sensitivity analysis of different coolants with variable Reynolds no. and heating plate diameter to nozzle diameter ratio on the designed system heat load dissipation capability

Robust Linear Hybrid Beamforming Designs Relying on Imperfect CSI in mmWave MIMO IoT Networks

Linear hybrid beamformer designs are conceived for the decentralized estimation of a vector parameter in a millimeter wave (mmWave) multiple-input multiple-output (MIMO) Internet of Things network (IoTNe). The proposed designs incorporate both total IoTNe and individual IoTNo power constraints, while also eliminating the need for a baseband receiver combiner at the fusion center (FC). To circumvent the non-convexity of the hybrid beamformer design problem, the proposed approach initially determines the minimum mean square error (MMSE) digital transmit precoder (TPC) weights followed by a simultaneous orthogonal matching pursuit (SOMP)-based framework for obtaining the analog RF and digital baseband TPCs. Robust hybrid beamformers are also derived for the realistic imperfect channel state information (CSI) scenario, utilizing both the stochastic and norm-ball CSI uncertainty frameworks. The centralized MMSE bound derived in this work serves as a lower bound for the estimation performance of the proposed hybrid TPC designs. Finally, our simulation results quantify the benefits of the various designs developed.Comment: 15 pages, 7 figure