COVID-19 infection and vaccine status in patients with chronic kidney diseases

Background: The COVID-19 virus has had a great effect globally, changing many commonalities. The incidence of COVID-19 had weakened the immune system, leading to more severe outcomes of various common diseases. Since its early development, the vaccination of COVID-19 has also had mixed responses. The aim of the study was to observe the incidence rate of COVID-19 infection and vaccination status among chronic kidney disease patients. Methods: In this study 50 (27 male and 23 female) adult skulls were investigated to determine the type of asterion, its distance from important bony landmarks and also the nearby venous sinuses were measured. Results: Majority (41.61%) of the participants had been between the ages of 41-55 years old, and 64.84% male prevalence was observed. 60.65% of the participants had been from rural areas. A large portion of the participants (38.06%) did not have any comorbidities, while multiple comorbidities were present among many of the remaining participants. Hypertension was the most common comorbidity, observed in 56.45% of the participants. 72.26% of the present study participants had been asymptomatic, while 13.23% had a fever as their symptom of COVID-19. COVID-19 test was done on 81 patients, among whom 64 had tested positive. Among the total 310 participants, 29.03% had not received any vaccinations, while 14.19% had received only 1st dose of vaccination, 47.2% had received up to their 2nd dose, and 9.35% had received their booster dose. Conclusions: The present study observed a low incidence rate of COVID-19 positive patients among those affected by chronic kidney disease. However, the study also observed a significant positive relation between COVID-19 positive patients and the need for additional medical support, leading to the conclusion that COVID-19 can significantly affect the severity of CKD.

Exploring the role of ambidexterity and coopetition in designing resilient fashion supply chains: a multi-evidence based approach

Purpose: The purpose of this paper is to investigate the knowledge gaps in the extant literature on the role of ambidexterity and coopetition in designing resilient fashion supply chains (RFSCs), and to develop a contextual framework for effective decision-making to enable practitioners to enhance their supply chain resilience. Design/methodology/approach: The study adopts a novel Multi-Evidence-Based Approach comprising Denyer and Tranfield’s (2009) systematic literature review with Context, Intervention, Mechanisms and Outcome (CIMO) logic, text mining and network analysis. The approach constitutes a rigorous methodology that cross-validates results and ensures the reliability and validity of findings. Findings: The authors identified key knowledge gaps in the literature and explored the main contribution categories (e.g. conceptual understandings, operational impacts, use of theories and frameworks). Subsequently, we developed a contextual framework of ambidextrous coopetition to design RFSCs. Finally, an empirical research agenda is proposed with the five research directions to address the gap and take forward the notion of ambidextrous coopetition and RFSCs. Research limitations/implications: The Multi-Evidence-Based Approach is a structured and triangulated systematic literature review approach and thus lacks empirical study. Practical implications: This research proposes a contextual framework of ambidextrous coopetition that can be used by fashion companies to embed resilience into their structures and operations. This research also presents an agenda for the future empirical research. Originality/value: This paper contributes by providing a combinatory synthesis on the role of ambidexterity and coopetition in designing RFSCs. This paper introduces a novel methodological triangulation for improving the quality and validity of SLRs. It identifies significant knowledge gaps and defines directions for future research

Twelve Tips for Medical Students starting Clinical Placements in the United Kingdom

Transitioning from the pre-clinical to clinical years at medical school can be challenging and overwhelming. This paper aims to utilise the experience of healthcare professionals to provide tips for medical students to consider in order to maximise their learning opportunities. Before starting a placement, it is highly encouraged that you familiarise yourself with the curriculum, remember to bring your essentials and dress appropriately. During your placement, ensure good attendance keeping, introduce yourself to the team, manage your time well, engage in self-directed learning, ask questions to other doctors, interact with allied health care professionals and follow the patient’s journey from admission to discharge. It is also key to be wary of university requirements, regularly practice history-taking and clinical examination and examination style questions. Prioritise a suitable work-life balance by enjoying hobbies and extra-curricular activities in order to avoid burn-out. These tips should ensure medical students make the most of their clinical placements as well as making it a memorable and enjoyable experience

Factors affecting eWOM credibility, information adoption and purchase intention on Generation Y: a case from Thailand

Purpose: With the ever-expanding online shopping, electronic word-of-mouth (eWOM) has become a significant factor affecting the consumer decision-making behaviour. This is specially the case when considering Generation Y (Millennials), who are old enough to be independent buyers and young to be almost immersed in online living. This article aims to assess the impact of eWOM on purchase intention by developing a conceptual model of hypotheses encompassing a multitude of factors that may be associated with this relationship. Design/methodology/approach: The researcher investigates what factors impact eWOM credibility and make the consumer may adopt it when making a purchase. To examine our research model, a quantitative approach is employed for this purpose using a sample through online survey from Thailand – where there is a large number portion Generation Y consumer base. Findings: It was found that source style as a visual attribute information is the most significant factor that may impact eWOM credibility in addition to source credibility, argument quality and source homophily, respectively. Practical implications: From a practical point of view, it helps firms to understand what needs to be taken into consideration when building their marketing strategy. Originality/value: This is believed to add significant insights into the eWOM literature by identifying its route of impact toward the purchase intention on Generation Y

‘We need to share our stories’: the lives of Pakistanis with intellectual disability and their guardians

© 2020 MENCAP and International Association of the Scientific Study of Intellectual and Developmental Disabilities and John Wiley & Sons Ltd Introduction: The experiences of Pakistanis with intellectual disabilities (IDs) and their family members have been underexplored empirically. Method: The present study sought to address this gap by understanding the lives of five Special Olympics Pakistan athletes and their guardians through PhotoVoice. Findings: Through thematic analysis, we present the primary theme concerning Pakistan\u27s cultural context that provides an empirical exploration of cultural beliefs about intellectual disability, cultural expectations and support received by people with intellectual disabilities and their guardians. Discussion: We discuss implications for research and practice

Computationally Inexpensive 1D-CNN for the Prediction of Noisy Data of NOx Emissions From 500 MW Coal-Fired Power Plant

Coal-fired power plants have been used to meet the energy requirements in countries where coal reserves are abundant and are the key source of NOx emissions. Owing to the serious environmental and health concerns associated with NOx emissions, much work has been carried out to reduce NOx emissions. Sophisticated artificial intelligence (AI) techniques have been employed during the past few decades, such as least-squares support vector machine (LSSVM), artificial neural networks (ANN), long short-term memory (LSTM), and gated recurrent unit (GRU), to develop the NOx prediction model. Several studies have investigated deep neural networks (DNN) models for accurate NOx emission prediction. However, there is a need to investigate a DNN-based NOx prediction model that is accurate and computationally inexpensive. Recently, a new AI technique, convolutional neural network (CNN), has been introduced and proven superior for image class prediction accuracy. According to the best of the author’s knowledge, not much work has been done on the utilization of CNN on NOx emissions from coal-fired power plants. Therefore, this study investigated the prediction performance and computational time of one-dimensional CNN (1D-CNN) on NOx emissions data from a 500 MW coal-fired power plant. The variations of hyperparameters of LSTM, GRU, and 1D-CNN were investigated, and the performance metrics such as RMSE and computational time were recorded to obtain optimal hyperparameters. The obtained optimal values of hyperparameters of LSTM, GRU, and 1D-CNN were then employed for models’ development, and consequently, the models were tested on test data. The 1D-CNN NOx emission model improved the training efficiency in terms of RMSE by 70.6% and 60.1% compared to LSTM and GRU, respectively. Furthermore, the testing efficiency for 1D-CNN improved by 10.2% and 15.7% compared to LSTM and GRU, respectively. Moreover, 1D-CNN (26 s) reduced the training time by 83.8% and 50% compared to LSTM (160 s) and GRU (52 s), respectively. Results reveal that 1D-CNN is more accurate, more stable, and computationally inexpensive compared to LSTM and GRU on NOx emission data from the 500 MW power plant

The emerging field of venom-microbiomics for exploring venom as a microenvironment, and the corresponding Initiative for Venom Associated Microbes and Parasites (iVAMP)

Venom is a known source of novel antimicrobial natural products. The substantial, increasing number of these discoveries have unintentionally culminated in the misconception that venom and venom-producing glands are largely sterile environments. Culture-dependent and -independent studies on the microbial communities in venom microenvironments reveal the presence of archaea, algae, bacteria, endoparasites, fungi, protozoa, and viruses. Venom-centric microbiome studies are relatively sparse to date and the adaptive advantages that venom-associated microbes might offer to their hosts, or that hosts might provide to venom-associated microbes, remain unknown. We highlight the potential for the discovery of venom-microbiomes within the adaptive landscape of venom systems. The considerable number of known, convergently evolved venomous animals juxtaposed with the comparatively few studies to identify microbial communities in venom provides new possibilities for both biodiversity and therapeutic discoveries. We present an evidence-based argument for integrating microbiology as part of venomics to which we refer to as venom-microbiomics. We also introduce iVAMP, the Initiative for Venom Associated Microbes and Parasites (https://ivamp-consortium.github.io/), as a growing consortium for interested parties to contribute and collaborate within this subdiscipline. Our consortium seeks to support diversity, inclusion and scientific collaboration among all researchers interested in this subdiscipline

Synthesis and bio-molecular study of (+)-N-Acetyl-α-amino acid dehydroabietylamine derivative for the selective therapy of hepatocellular carcinoma

Background: The purpose of present work is to synthesize novel (+)-Dehydroabietylamine derivatives (DAAD) using N-acetyl-α-amino acid conjugates and determine its cytotoxic effects on hepatocellular carcinoma cells. Methods: An analytical study was conducted to explore cytotoxic activity of DAAD on hepatocellular carcinoma cell lines. The cytotoxicity effect was recorded using sulforhodamine B technique. Cell cycle analysis was performed using Propidium Iodide (PI) staining. Based on cell morphology, anti growth activity and microarray findings of DAAD2 treatment, Comet assay, Annexin V/PI staining, Immunoperoxidase assay and western blots were performed accoringly. Results: Hep3B cells were found to be the most sensitive with IC50 of 2.00 ± 0.4 μM against (+)-N-(N-Acetyl-L-Cysteine)-dehydroabietylamine as DAAD2. In compliance to time dependent morphological changes of low cellular confluence, detachment and rounding of DAAD2 treated cells; noticeable changes in G2/M phase were recorded may be leading to cell cycle cessation. Up-regulation (5folds) of TUBA1A gene in Hep3B cells was determined in microarray experiments. Apoptotic mode of cell death was evaluated using standardized staining procedures including comet assay and annexin V/PI staining, Immuno-peroxidase assay. Using western blotting technique, caspase dependant apoptotic mode of cell death was recorded against Hep3B cell line. Conclusion: It is concluded that a novel DAAD2 with IC50 values less than 8 μM can induce massive cell attenuation following caspase dependent apoptotic cell death in Hep3B cells. Moreover, the corelation study indicated that DAAD2 may have vital influence on cell prolifration properties. © 2016 The Author(s)

Single nanowire-based UV photodetectors for fast switching

Relatively long (30 µm) high quality ZnO nanowires (NWs) were grown by the vapor-liquid-solid (VLS) technique. Schottky diodes of single NW were fabricated by putting single ZnO NW across Au and Pt electrodes. A device with ohmic contacts at both the sides was also fabricated for comparison. The current-voltage (I-V) measurements for the Schottky diode show clear rectifying behavior and no reverse breakdown was seen down to -5 V. High current was observed in the forward bias and the device was found to be stable up to 12 V applied bias. The Schottky barrier device shows more sensitivity, lower dark current, and much faster switching under pulsed UV illumination. Desorption and re-adsorption of much smaller number of oxygen ions at the Schottky junction effectively alters the barrier height resulting in a faster response even for very long NWs. The NW was treated with oxygen plasma to improve the switching. The photodetector shows high stability, reversibility, and sensitivity to UV light. The results imply that single ZnO NW Schottky diode is a promising candidate for fabricating UV photodetectors