Insecticidal potential of , and individually and their synergistic effect with barazide against .

Excessive use of insecticides are responsible to contaminate the environment, soil health, developing resistance in the insect pests, introduces new species, toxic to human and eliminates non-target organisms and affects the eco-balance and biodiversity adversely. Application of microbial bio-agents with the chemical insecticides is an assertive way to manage the population of pests, in an addition to dropping down the chemical residues risk to the eco-system. Larval stages of are prolific eater, caused huge losses globally.

Noncoding RNA landscape and their emerging roles as biomarkers and therapeutic targets in meningioma.

Meningiomas are among the most prevalent primary CNS tumors in adults, accounting for nearly 38% of all brain neoplasms. The World Health Organization (WHO) grade assigned to meningiomas guides medical care in patients and is primarily based on tumor histology and malignancy potential. Although often considered benign, meningiomas with complicated histology, limited accessibility for surgical resection, and/or higher malignancy potential (WHO grade 2 and WHO grade 3) are harder to combat, resulting in significant morbidity.

The Language of Compassion: Hospital Chaplains' Compassion Capacity Reduces Patient Depression via Other-Oriented, Inclusive Language.

Objectives: Although hospital chaplains play a critical role in delivering emotional and spiritual care to a broad range of both religious and non-religious patients, there is remarkably little research on the best practices or "active ingredients" of chaplain spiritual consults. Here, we examined how chaplains' compassion capacity was associated with their linguistic behavior with hospitalized inpatients, and how their language in turn related to patient outcomes.

Methods: Hospital chaplains ( = 16) completed self-report measures that together were operationalized as self-reported "compassion capacity.

An aryl diimine cobalt(I) catalyst for carbonyl hydrosilylation.

Through the application of a redox-innocent aryl diimine chelate, the discovery and utilization of a cobalt catalyst, (ADI)Co, that exhibits carbonyl hydrosilylation turnover frequencies of up to 330 s is described. This activity is believed to be the highest ever reported for metal-catalyzed carbonyl hydrosilylation.

Learning Compassion and Meditation: A Mixed-Methods Analysis of the Experience of Novice Meditators.

Over the last decade, numerous interventions and techniques that aim to engender, strengthen, and expand compassion have been created, proliferating an evidence base for the benefits of compassion meditation training. However, to date, little research has been conducted to examine individual variation in the learning, beliefs, practices, and subjective experiences of compassion meditation. This mixed-method study examines changes in novice meditators' knowledge and contemplative experiences before, during, and after taking an intensive course in CBCT® (Cognitively-Based Compassion Training), a contemplative intervention that is increasingly used for both inter- and intrapersonal flourishing.

Comparing the Electronic Structure of Iron, Cobalt, and Nickel Compounds That Feature a Phosphine-Substituted Bis(imino)pyridine Chelate.

It was recently discovered that (PDI)Mn (PDI = pyridine diimine) exists as a superposition of low-spin Mn(II) that is supported by a PDI dianion and intermediate-spin Mn(II) that is antiferromagnetically coupled to a triplet PDI dianion, a finding that encouraged the synthesis and electronic structure evaluation of late first row metal variants that feature the same chelate. The addition of PDI to FeBr resulted in bromide dissociation and the formation of [(PDI)FeBr][Br]. Reduction of this precursor using excess sodium amalgam afforded (PDI)Fe, which possesses an Fe(II) center that is supported by a dianionic PDI ligand.

Phosphorous-substituted redox-active ligands in base metal hydrosilylation catalysis.

This article highlights the utilization of phosphine-containing redox-active ligands for efficient hydrosilylation catalysis. Manganese, iron, cobalt, and nickel precatalysts featuring these chelates have been described and leading activities for carbonyl, carboxylate, and ester C-O bond hydrosilylation have been achieved. Mechanistic studies have provided insight into the importance of phosphine hemilability.

Immunotherapeutics for AD: A Work in Progress.

Alzheimer's Disease (AD), often called the 'Plague of the 21st Century,' is a progressive, irreversible neurodegenerative disorder that leads to the degeneration and death of neurons. Multiple factors, such as genetic defects, epigenetic regulations, environmental factors, or cerebrovascular damage, are a manifestation of the neurodegenerative process that begins to occur decades before the onset of disease. To date, no treatment or therapeutic strategy has proven to be potent in inhibiting its progress or reversing the effects of the disease.

Feasibility, Acceptability, and Preliminary Effectiveness of a Compassion-Centered Team Intervention to Improve Clinical Research Coordinator Resilience and Well-Being.

Purpose: Oncology clinical research coordinators (CRCs) and team-based coordinator care are critical for the success of clinical trials. However, CRCs typically report elevated anxiety and burnout and many oncology centers have high levels of coordinator attrition. To address the need for a team-based intervention to reduce burnout and promote resilience and cohesion among CRCs, we developed a compassion-centered, team-based intervention, Compassion-Centered Spiritual Health Team Intervention (CCSH-TI).

Trajectories from Distribution-valued Functional Curves: A Unified Wasserstein Framework.

Temporal changes in medical images are often evaluated along a parametrized function that represents a structure of interest (e.g. white matter tracts).

Nature's Derivative(s) as Alternative Anti-Alzheimer's Disease Treatments.

Alzheimer's disease (AD), the 'Plague of Twenty-First Century,' is a crippling neurodegenerative disease that affects a majority of the older population globally. By 2050, the incidence of AD is expected to rise to 135 million, while no treatment(s) that can reverse or control the progression of AD are currently available. The treatment(s) in use are limited in their ability to manage the symptoms or slow the progression of the disease and can lead to some severe side effects.

Pd-Colloids-Catalyzed/Ag O-Oxidized General and Selective Esterification of Benzylic Alcohols.

Palladium colloids obtained from the degradation of Hermann-Beller palladacycle proved to be an efficient catalytic system in combination with silver oxide as a selective oxidant for the oxidative esterification of differently substituted benzyl alcohols in MeOH as solvent. Excellent reactivity exhibited by the catalytic system also allowed the alcoholic coupling partner to be changed from MeOH to a wide range of alcohols having diverse functionalities. The mildness of the developed protocol also made it possible to employ propargyl alcohol as the coupling partner without any observation of any interference of the terminal alkyne.

Prospects for Irradiation in Cellulosic Ethanol Production.

Second generation bioethanol production technology relies on lignocellulosic biomass composed of hemicelluloses, celluloses, and lignin components. Cellulose and hemicellulose are sources of fermentable sugars. But the structural characteristics of lignocelluloses pose hindrance to the conversion of these sugar polysaccharides into ethanol.

Actinomycetes: A Source of Lignocellulolytic Enzymes.

Lignocellulose is the most abundant biomass on earth. Agricultural, forest, and agroindustrial activities generate tons of lignocellulosic wastes annually, which present readily procurable, economically affordable, and renewable feedstock for various lignocelluloses based applications. Lignocelluloses are the focus of present decade researchers globally, in an attempt to develop technologies based on natural biomass for reducing dependence on expensive and exhaustible substrates.

PARAMETRIC REGRESSION SCHEME FOR DISTRIBUTIONS: ANALYSIS OF DTI FIBER TRACT DIFFUSION CHANGES IN EARLY BRAIN DEVELOPMENT.

Temporal modeling frameworks often operate on scalar variables by summarizing data at initial stages as statistical summaries of the underlying distributions. For instance, DTI analysis often employs summary statistics, like mean, for regions of interest and properties along fiber tracts for population studies and hypothesis testing. This reduction via discarding of variability information may introduce significant errors which propagate through the procedures.

MODELING LONGITUDINAL MRI CHANGES IN POPULATIONS USING A LOCALIZED, INFORMATION-THEORETIC MEASURE OF CONTRAST.

Longitudinal MR imaging during early brain development provides important information about growth patterns and the development of neurological disorders. We propose a new framework for studying brain growth patterns within and across populations based on MRI contrast changes, measured at each time point of interest and at each voxel. Our method uses regression in the LogOdds space and an information-theoretic measure of distance between distributions to capture contrast in a manner that is robust to imaging parameters and without requiring intensity normalization.

SPATIOTEMPORAL MODELING OF DISCRETE-TIME DISTRIBUTION-VALUED DATA APPLIED TO DTI TRACT EVOLUTION IN INFANT NEURODEVELOPMENT.

This paper proposes a novel method that extends spatiotemporal growth modeling to distribution-valued data. The method relaxes assumptions on the underlying noise models by considering the data to be represented by the complete probability distributions rather than a representative, single-valued summary statistics like the mean. When summarizing by the latter method, information on the underlying variability of data is lost early in the process and is not available at later stages of statistical analysis.

LONGITUDINAL GROWTH MODELING OF DISCRETE-TIME FUNCTIONS WITH APPLICATION TO DTI TRACT EVOLUTION IN EARLY NEURODEVELOPMENT.

We present a new framework for spatiotemporal analysis of parameterized functions attributed by properties of 4D longitudinal image data. Our driving application is the measurement of temporal change in white matter diffusivity of fiber tracts. A smooth temporal modeling of change from a discrete-time set of functions is obtained with an extension of the logistic growth model to time-dependent spline functions, capturing growth with only a few descriptive parameters.

UNC-Utah NA-MIC framework for DTI fiber tract analysis.

Diffusion tensor imaging has become an important modality in the field of neuroimaging to capture changes in micro-organization and to assess white matter integrity or development. While there exists a number of tractography toolsets, these usually lack tools for preprocessing or to analyze diffusion properties along the fiber tracts. Currently, the field is in critical need of a coherent end-to-end toolset for performing an along-fiber tract analysis, accessible to non-technical neuroimaging researchers.

Quantitative tract-based white matter development from birth to age 2years.

Few large-scale studies have been done to characterize the normal human brain white matter growth in the first years of life. We investigated white matter maturation patterns in major fiber pathways in a large cohort of healthy young children from birth to age two using diffusion parameters fractional anisotropy (FA), radial diffusivity (RD) and axial diffusivity (RD). Ten fiber pathways, including commissural, association and projection tracts, were examined with tract-based analysis, providing more detailed and continuous spatial developmental patterns compared to conventional ROI based methods.