On the Exchange Interactions in Holographic p-adic CFT

There is a renewed interest in conformal field theories (CFT) on ultrametric spaces (p-adic field and its algebraic extensions) in view of their natural adaptability in the holographic setting. We compute the contributions from the exchange interactions to the four-point correlator of the CFT using Witten diagrams with three-scalar interaction vertex. Together with the contributions from the bulk four-point interaction, the contact term, these provide a complete answer. We remark on the singularity structure in Mellin space, and argue that all these models are analogues of adS_2/CFT_1.Comment: 1+12 pages, 7 figures (an error in the interpretation of the spectrum, and typos, corrected; text modified accordingly, and acknowledgement added

Matrix Model for Riemann Zeta via its Local Factors

We propose the construction of an ensemble of unitary random matrices (UMM) for the Riemann zeta function. Our approach to this problem is `$p$-iecemeal', in the sense that we consider each factor in the Euler product representation of the zeta function to first construct a UMM for each prime $p$. We are able to use its phase space description to write the partition function as the trace of an operator that acts on a subspace of square-integrable functions on the $p$-adic field. This suggests a Berry-Keating type Hamiltonian. We combine the data from all primes to propose a Hamiltonian and a matrix model for the Riemann zeta function.Comment: v2 1+42 pages, expanded with additional details and explanations, typos correcte

Social workers\u27 practice effectiveness: An exploratory study of self-perceptions of direct practitioners.

This exploratory study examined perceptions of practice effectiveness among twenty-five (N = 25) experienced social workers in Windsor and Essex County. The sample was composed of front line social workers with BSWs and/or MSWs in a variety of human service settings. Using a qualitative design, open-ended interviews covered the following aspects of practice effectiveness: defining effectiveness, research, practice issues, organizational settings and the professional context. Since the sample size was small and regionally limited, generalizability of findings was questionable. Yet, recurrent trends and themes emerged which provided knowledge about the subject matter and the impetus for further research. Major findings revealed that: (1) social workers\u27 primary perception of effectiveness was based on client outcomes and satisfaction with service; (2) social workers\u27 effectiveness was evaluated in informal ways based on quantitative rather than qualitative dimensions of service; (3) most organizational settings did not allow for autonomous and creative practice, thereby potentially impeding effectiveness; (4) most practitioners do not use research in their practice yet understood the need for it; (5) social workers participated in a number of activities to enhance their effectiveness and were cognizant of their individual areas in which to improve; and (6) workers had a number of qualitative criteria by which they saw themselves as effective. Main recommendations are: (1) social workers must evaluate their effectiveness within and without the context of the multi-disciplinary team; (2) social workers must be more aware and motivated to participate in research endeavors; (3) human service organizations must incorporate a participatory management model to enhance effectiveness; and (4) organizations should encourage and foster the use of supervision, peer supervision and consultation. Implications are directed toward practitioners (both BSWs and MSWs), social work educators, supervisors and administrators. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1994 .D877. Source: Masters Abstracts International, Volume: 34-02, page: 0600. Adviser: Michael J. Holosko. Thesis (M.Sw.)--University of Windsor (Canada), 1994

"It's the same rain": using interpretative phenomenological analysis to explore parenting experiences of Bengali speaking immigrants to Canada

For immigrant parents, the desire to settle successfully for the sake of their children can complicate their own processes of acculturation and adjustment. Bengali speaking immigrants are an immigrant group for which there has been inadequate attention in the social work literature. Theory underpinning the study centred around acculturation, identity, and resiliency. This study employed Interpretative Phenomenological Analysis to explore the changes Bengali speaking immigrants endured as they parented their children in Canada. Thirteen participants were interviewed to ascertain how their immigration and acculturation experiences influenced their parenting. Several key findings permeated the analysis. Acculturation and immigration to Canada accentuated gender differences between women and men. Women’ silence was larger in a Canadian context, and their expressed losses were larger. Parenting was informed by the immigrants’ sensitivity to their children’s need to fit in, and parents were generally amenable but there were costs, such as discarding cultural pieces from the past (fathers) while using introspection in the present to maintain family togetherness (mothers). The difference in parent-child relationships was in parental authority, which shifted from deference to discussion, from impositions to negotiations. Finally, parents made Canada their home, but on their own terms, and resilience came from choice, experiences of racism, felt losses, and wisdom. A clear gender and power theme emerged favouring men’s faster acculturation and accompanying greater dominance over women. Several graphical models illustrate the analyses, and propose ways for social workers to engage more empathically with immigrants. Limitations of the study and implications for future research are discussed

A partial backlogging inventory model for deteriorating items with time-varying demand and holding cost: An interval number approach

This paper proposes a differential equation inventory model that incorporates partial backlogging and deterioration. Holding cost and demand rate are time dependent. Shortages are allowed and assumed to be partially backlogged. Two versions are presented, the first one with deterministic values of the parameters and the second one taking into the account the interval uncertainty of the parameters. In the crisp case, Taylor’s series expansion is used, and graphically shown that the cost function is convex. While, in the case of intervals, the interval arithmetic is used and then the problem is transformed into a multi-objective non-linear optimization problem and an interval objective function. To solve this problem, the weighted-sum method is used. The proposed procedure is validated with the help of a numerical example. Sensitivity analysis on various parameters has also been carried out

Insect growth regulatory activity of Thevetia nerifolia Juss. against Spodoptera litura (Fab.)

Screening for insect growth regulatory activity (IGR) of Thevetia nerifolia leaf extracts were evaluated against Spodoptera litura (Fab.). Methanol extract of leaves provided 53.8 % larval mortality, 29.6 % pupation and 22.3 % adult emergence at 2.5 % concentration level. The extract was further subfractioned with solvents of different polarity in search of better IGR activity and chloroform extract was found to be most active in terms of larval mortality (27.5-61.5 %), pupation (28.4-60.2 %) and adult emergence (19.8-52.8 %). GI50 of the extract was recorded to be 3.02 %. Activity was attributed to the glycosides present in the extract

Mass Spectrometry-Based Proteomics Study on <em>Candida</em> Infection of COVID-19 Patients to Discover New Antifungal Target

The molecular foundation of fungal disease can now be better understood and treated because to advances in mass spectrometry (MS) based proteomics technology. Numerous disease-related biomarkers and potential new drug targets have been discovered over the course of the past 30 years of proteomics research, which examines dynamic protein expression, post-translational modifications, cellular and sub-cellular protein distribution, and protein–protein interactions. Although MS proteomics was of paramount importance to understanding the molecular progression involved in their differential expressions but was challenging under invasive and non-invasive growth conditions of Candida. species but was challenging especially due to the lack of diagnostic morphological features for early prediction. The long-term goal of this chapter is to identify the biomarkers relevant for early prediction and future target molecules for drug discovery and to determine proteins linked to fungal action, made the identification of alterations in fungal physiology and host-pathogen interactions between cells and antibiotics during COVID-19 infection therapy. Here, we also discussed the developments of proteomic-driven interactions between the host and the fungal pathogens, clinical application of spectrometry-based Candida. proteome identification diagnosis, and treatment with antibiotics. Proteomic approach advancements open new pathways for effective prevention and medication development for infectious diseases brought on by fungi

Digital Inclusion of the Farming Sector Using Drone Technology

Agriculture continues to be the primary source of income for most rural people in the developing economy. The world’s economy is also strongly reliant on agricultural products, which accounts for a large number of its exports. Despite its growing importance, agriculture is still lagging behind to meet the demands due to crop failure caused by bad weather conditions and unmanaged insect problems. As a result, the quality and quantity of agricultural products are occasionally affected to reduce the farm income. Crop failure could be predicted ahead of time and preventative measures could be taken through a combination of conventional farming practices with contemporary technologies such as agri-drones to address the difficulties plaguing the agricultural sectors. Drones are actually unmanned aerial vehicles that are used for imaging, soil and crop surveillance, and a variety of other purposes in agricultural sectors. Drone technology is now becoming an emerging technology for large-scale applications in agriculture. Although the technology is still in its infancy in developing nations, numerous research and businesses are working to make it easily accessible to the farming community to boost the agricultural productivity