Student perspectives of preparedness characteristics for clinical learning within a fully distributed veterinary teaching model.

The transition into the clinical environment is challenging and associated with significant stress and anxiety. This study aimed to examine the perspectives of students on the characteristics important for preparedness for clinical learning and the influence of gender, age, and graduate status on those perspectives. This descriptive, questionnaire-based study of 62 characteristics categorised into six themes was conducted within the Surrey School of Veterinary Medicine completed by 139 students commencing their final clinical year. The Friedman test and post-hoc Wilcoxon signed rank sum test explored for differences in ranking across the themes. Ordinal logistic regression and Mann-Whitney U pairwise comparisons were utilised to investigate for effects of gender, age, and graduate status on theme ranking. There was a significant difference (P 0.05) of gender, age or graduate status on student rating of preparedness characteristics. Integrating learning opportunities of those preparedness characteristics in the pre-clinical curriculum may improve students' preparedness for the clinical environment

ANCILLARY SERVICE REQUIREMENT BASED AUTOMATIC GENERATION CONTROL ASSESSMENT IN A DEREGULATED POWER SYSTEM WITH HES AND IPFC UNITS

This paper intends the evaluation measures for obtaining the Ancillary ServicesRequirement (ASR) indices stand on Automatic Generation Control (AGC) in a deregulated power system.Ancillary services are vital to support the transmission of electric power from vendor to user with the responsibility of control areas and transmitting utilities within those control areas to maintain steadfast operations of the interconnected power system under deregulated environment. In this swot, Proportional Integral Derivative with derivative Filter (PIDF) is projected for the AGC loop of a two-area thermal power system with reheat bicycle mix condensation turbine. The control constraints of the PIDF controller are optimized using the Big Bang Big Crunch (BBBC) algorithm.ASR keys are computed stranded on the dynamic response of the control input deviations and the mechanical power generation deviations of each area for dissimilar nature of possible transactions. These indices designate the ancillary service requirements and are required to improve the competence of the physical operation of the power system with the augmented transmission capacity in the network. An advanced application of Hydrogen Energy Storage (HES), when coordinated with the Interline Power Flow Controller (IPFC) for the development of AGC loop of a two-area thermal power system is also painstaking. Simulation reveals that the proposed PIDF controller tuned with BBBC algorithm perk up the dynamic output response of the test system. Moreover, it can also be pragmatic that the ASR Indices are computed for a two-area thermal power system with HES and IPFC units indicates that the new advanced control for a better restoration of the power system output responses and ensure enhanced ASR indices in order to afford the superior margin of steadiness

Student perspectives of preparedness characteristics for clinical learning within a fully distributed veterinary teaching model.

The transition into the clinical environment is challenging and associated with significant stress and anxiety. This study aimed to examine the perspectives of students on the characteristics important for preparedness for clinical learning and the influence of gender, age, and graduate status on those perspectives. This descriptive, questionnaire-based study of 62 characteristics categorised into six themes was conducted within the Surrey School of Veterinary Medicine completed by 139 students commencing their final clinical year. The Friedman test and post-hoc Wilcoxon signed rank sum test explored for differences in ranking across the themes. Ordinal logistic regression and Mann-Whitney U pairwise comparisons were utilised to investigate for effects of gender, age, and graduate status on theme ranking. There was a significant difference (P 0.05) of gender, age or graduate status on student rating of preparedness characteristics. Integrating learning opportunities of those preparedness characteristics in the pre-clinical curriculum may improve students' preparedness for the clinical environment

OPTIMAL ALLOCATION OF TCSC DEVICES FOR THE ENHANCEMENT OF ATC IN DEREGULATED POWER SYSTEM USING FLOWER POLLINATION ALGORITHM

This paper proposes a best possible distribution of Thyristor Controlled Series Compensator (TCSC) to progress the Available Transfer Capability (ATC) of power transactions between sources and sink areas in the deregulated power system. The principle of TCSC device is to balance the inductive voltage drop in the line by an introduced capacitive voltage or in other words to alleviate the effective reactance of the transmission line to improve ATC in the network. The objective of the optimization is to find the preeminent location and parameters of TCSC devices by means of Flower Pollination Algorithm (FPA) for maximizing ATC and minimizing power losses and installation cost of TCSC device. The estimate of ATC using AC Power Transfer Distribution Factors (ACPTDF) based on the Newton Raphson power flow technique. The ACPTDFs are the consequent using sensitivity based approach for the system intact case and utilized to check the line flow limits during ATC fortitude. The efficacy of the proposed method is demonstrated using an IEEE-30 bus test system for the evaluation of ATC in normal and line outage contingencies conditions for the preferred bilateral, multilateral and area wise transactions. The simulation outcome illustrates that the introduction of TCSC devices in an accurate location could increase ATC, fall in total losses and advance the line congestion as compared to the system without TCSC devices

Identification of Phishing Attacks using Machine Learning Algorithm

Phishing is a particular type of cybercrime that allows criminals to trick people and steal crucial data. The phishing assault has developed into a more complex attack vector since the first instance was published in 1990. Phishing is currently one of the most prevalent types of online fraud behavior. Phishing is done using a number of methods, such as through emails, phone calls, instant chats, adverts, pop-up windows on websites, and DNS poisoning. Phishing attacks can cause their victims to suffer significant losses, including the loss of confidential information, identity theft, businesses, and state secrets. By examining current phishing practises and assessing the state of phishing, this article seeks to assess these attacks. This article offers a fresh, in-depth model of phishing that takes into account attack stages, different types of attackers, threats, targets, attack media, and attacking strategies. Here, we categorise websites as real or phishing websites using machine learning techniques including Random Forest, XGBoost, and Logistic Regression. Additionally, the proposed anatomy will aid readers in comprehending the lifespan of a phishing attack, raising awareness of these attacks and the strategies employed as well as aiding in the creation of a comprehensive anti-phishing system

First examples of neutral and cationic indenyl nickel(II) complexes bearing arsine or stibine ligands: highly active catalysts for the oligomerisation of styrene

New indenyl nickel(II) complexes bearing arsine or stibine ligands synthesised by a new methodology exhibit very high catalytic activities for the oligomerisation of styrene

Noise Level Notifier

This paper involves utilizing an Arduino Uno as the primary hardware to measure the sound level in a library. The amount of noise in the region is measured using a sound sensor. The sound sensor signals are amplified using the operational amplifier function of the integrated circuit LM 567. There are two types of output available: audio and visual. The audio output takes the form of a personalized message that is played over speakers. LEDs are employed to offer visual feedback, with white LEDs used in noise-free environments (sound level 45 dB, yellow LEDs used when sound levels are above 65 decibels, and red LEDs used when sound levels are significantly above 80 decibels). A TIP 220 transistor is used to amplify the signals. A TIP 220 transistor amplifies the signals to create an output for the speaker. There is an audio message that corresponds to each sound level

Modulation of Mycobacterial-Specific Th1 and Th17 Cells in Latent Tuberculosis by Coincident Hookworm Infection

Hookworm infections and tuberculosis are co-endemic in many parts of the world. It has been suggested that infection with helminth parasites could suppress the predominant Th1 (IFN-γ-mediated) response needed to control Mycobacterium tuberculosis (Mtb) infection and enhance susceptibility to infection and/or disease. To determine the role of coincident hookworm infection on responses at steady state and on Mtb – specific immune responses in latent tuberculosis (TB), we examined the cellular responses in individuals with latent TB with or without concomitant hookworm infection. By analyzing the expression of Th1, Th2 and Th17 subsets of CD4(+) T cells, we were able to demonstrate that the presence of coincident hookworm infection significantly diminished both spontaneously expressed and Mtb – specific mono – and dual – functional Th1 and Th17 cells. Hookworm infection, in contrast, was associated with expanded frequencies of mono – and dual – functional Th2 cells at both steady state and upon antigen – stimulation. This differential induction of CD4(+) T cell subsets was abrogated upon mitogen stimulation. In addition, coincident hookworm infection was associated with increased adaptive T regulatory (aTreg) cells but not natural regulatory T cells (nTregs) in latent TB. Finally, the CD4(+) T cell cytokine expression pattern was also associated with alterations in the systemic levels of Th1 and Th2 cytokines. Thus, coincident hookworm infection exerts a profound inhibitory effect on protective Th1 and Th17 responses in latent tuberculosis and may predispose toward the development of active tuberculosis in humans

Stability Assessment of p i n Perovskite Photovoltaic Mini Modules Utilizing Different Top Metal Electrodes

Long term stability is one of the major challenges for p i n type perovskite solar modules PSMs . Here, we demonstrate the fabrication of fully laser patterned series interconnected p i n perovskite mini modules, in which either single Cu or Ag layers are compared with Cu Au metal bilayer top electrodes. According to the scanning electron microscopy measurements, we found that Cu or Ag top electrodes often exhibit flaking of the metal upon P3 top contact removal laser patterning. For Cu Au bilayer top electrodes, metal flaking may cause intermittent short circuits between interconnected sub cells during operation, resulting in fluctuations in the maximum power point MPP . Here, we demonstrate Cu Au metal bilayer based PSMs with an efficiency of 18.9 on an active area of 2.2 cm2 under continuous 1 sun illumination. This work highlights the importance of optimizing the top contact composition to tackle the operational stability of mini modules, and could help to improve the feasibility of large area module deployment for the commercialization of perovskite photovoltaic