Miracle-dz/UniFAR-FTUs huggingface dataset:
Shame as a moral mood in medicine

Abstract Background & Aims: The emotional underpinnings that facilitate and complicate the practice of ethical principles like respect warrant sustained interdisciplinary attention. In this article, I suggest that shame is a requisite component of the emotional repertoire than makes respect for persons possible. Materials & Methods: I use person‐centered interview data from a sample of 54 physicians (including 35 surgeons), 60% of whom are women, to examine the emergence and endurance of shame as a mood with moral significance. Drawing on anthropologist Throop's concept of a moral mood, I explore physicians’ first‐person narratives of the endurance of shame experiences. Results: Narratives demonstrate that shame inheres in biomedical contexts that reinforce the physician's responsibilization and culpability for events beyond their control. As a persistent cognitive and affective state, mooded shame is a recursive and compulsory motive force for a physician's dynamic evolution as a moral actor. Discussion: Variably distressing, looming and commonplace, mooded shame becomes an atmospheric and imaginative mode through which physicians contemplate their responsibilities and connections to patients. Sometimes in a hypercognized manner that conceals its emotional roots, physicians link the mood of shame to their incessant efforts to fulfill responsibilities to each unique patient. Conclusion: I suggest that through reflection made possible within mooded shame, physicians develop a sense of being both accountable to and alongside patients, and I explore the ties between this position and philosophical concepts of respect.
Intentionally created localized bridges for electron transport through graphene monolayer between two metals

Monolayer graphene (1LG) is frequently unpredictably modified by supporting material so that it limits development of devices. Van der Waals interaction is dominant in the models describing the in-plane processes, including the electrical charge transport. However, the current flow perpendicular to the plane of the graphene is still less understood. This report analysed specific aspect of the perpendicular current and disclosed an original way to create transport bridges perpendicular to the plane across the 1LG. The most extraordinary finding is that the electron transport between two parallel metal surfaces can be shut down and opened if the metals are separated by the 1LG. The electron transmission can be intentionally varied in this metal–1LG–metal (M–G–M) system by pressure. In the experimental study the AFM force curve and tunnelling current measurements were combined when the external load force (0–1200 nN) and electrical potential (−1.5 V to +1.5 V) were used. It is proved that for low voltages (<±9 mV) a bridge is opened perpendicular to the graphene across the M–G–M systems by the external force, if the compression dependent Fermi level crosses electronic states in the interfaces and graphene. The localised bridges with diameter about 10–40 nm can be opened and kept continuously by the stabilised force in separated points of the system. However, the predictable changes can be produced in the system if the voltage and the force exceeded critical magnitudes. A combined model was proposed acceptable to explain the bridging and predictably modify the characteristics.
Wireless Public Safety Networks 2: A Systematic Approach

Wireless Public Safety Networks, Volume Two: A Systematic Approach presents the latest advances in the wireless Public Safety Networks (PSNs) field, the networks established by authorities to either prepare the population for an eminent catastrophe, or those used for support during crisis and normalization phases. Maintaining communication capabilities in a disaster scenario is crucial for avoiding loss of lives and damages to property. This book examines past communication failures that have directly contributed to the loss of lives, giving readers in-depth discussions of the public networks that impact emergency management, covering social media, crowdsourcing techniques, wearable wireless sensors, moving-cells scenarios, mobility management protocols, 5G networks, broadband networks, data dissemination, and the resources of the frequency spectrum. Provides a focus on specific enabling technologies which can help the most on the deployment and usage of PSNs in real world scenarios Proposes a general framework that has the capability to fulfill the public safety requirements and dynamically adapt to different public safety situations Investigates the problem of data dissemination over PSNs, presenting a review of the state-of-the-art of different information and communication technologies
Development of agarose–gelatin bioinks for extrusion-based bioprinting and cell encapsulation

Three-dimensional bioprinting continues to advance as an attractive biofabrication technique to employ cell-laden hydrogel scaffolds in the creation of precise, user-defined constructs that can recapitulate the native tissue environment. Development and characterisation of new bioinks to expand the existing library helps to open avenues that can support a diversity of tissue engineering purposes and fulfil requirements in terms of both printability and supporting cell attachment. In this paper, we report the development and characterisation of agarose–gelatin (AG–Gel) hydrogel blends as a bioink for extrusion-based bioprinting. Four different AG–Gel hydrogel blend formulations with varying gelatin concentration were systematically characterised to evaluate suitability as a potential bioink for extrusion-based bioprinting. Additionally, autoclave and filter sterilisation methods were compared to evaluate their effect on bioink properties. Finally, the ability of the AG–Gel bioink to support cell viability and culture after printing was evaluated using SH-SY5Y cells encapsulated in bioprinted droplets of the AG–Gel. All bioink formulations demonstrate rheological, mechanical and swelling properties suitable for bioprinting and cell encapsulation. Autoclave sterilisation significantly affected the rheological properties of the AG–Gel bioinks compared to filter sterilisation. SH-SY5Y cells printed and differentiated into neuronal-like cells using the developed AG–Gel bioinks demonstrated high viability (>90%) after 23 d in culture. This study demonstrates the properties of AG–Gel as a printable and biocompatible material applicable for use as a bioink.
Enterococcus faecalis and Candida albicans dual-species biofilm: establishment of an in vitro protocol and characterization

Abstract Enterococcus faecalis is the most important agent of persistent apical periodontitis, and recently, Candida albicans has also been implicated in periapical infections. This study aimed to optimize an in vitro E. faecalis and C. albicans dual-species biofilm protocol for endodontic research. Different physicochemical conditions for biofilm formation were tested. Susceptibility assays to antimicrobials, biochemical composition and an ultra-morphological structure analyses were performed. Reproducible dual-species biofilms were established in BHI medium at 35 °C, for 48 h and in a microaerophilic atmosphere. An increase in biomass and chitin content was detected after vancomycin treatment. Structural analysis revealed that the dual-species biofilm was formed by both microorganisms adhered to the substrate. The proposed protocol could be useful for the study of interkingdom relationships and help to find new strategies against periapical infections.
Event‐based modeling in temporal lobe epilepsy demonstrates progressive atrophy from cross‐sectional data

Recent work has shown that people with common epilepsies have characteristic patterns of cortical thinning, and that these changes may be progressive over time. Leveraging a large multicenter cross‐sectional cohort, we investigated whether regional morphometric changes occur in a sequential manner, and whether these changes in people with mesial temporal lobe epilepsy and hippocampal sclerosis (MTLE‐HS) correlate with clinical features.
Translation of IDEA trial results into clinical practice: Analysis of the implementation of a new guideline for colon cancer

The IDEA trial showed no clinical relevant differences in efficacy between 3 and 6 months of oxaliplatin‐based adjuvant chemotherapy (ACT) in colon cancer (CC), while toxicity was substantially lower in the 3 months regimen. Therefore, in 2017 the Dutch colorectal cancer guideline was revised and currently recommends 3 months of oxaliplatin‐based ACT. Furthermore, the definition of high‐risk stage II CC was restricted to pT4 tumors. We analyzed changes in ACT between 2015 and 2019. From the Netherlands Cancer Registry all 16 721 patients ≥18 years with resected high‐risk stage II and stage III CC during 2015 to 2019 were selected. Differences in patient and treatment characteristics were analyzed per calendar year according to stage and age. Mean duration of oxaliplatin‐based ACT decreased from 18.6 (±8.0) to 9.5 (±3.8) weeks between 2015 and 2019. In patients receiving ACT (n = 8170), the proportion treated with oxaliplatin increased from 74% to 83%. The proportion of patients receiving ACT was stable, 61% to 69% in stage III and 26% to 29% in pT4 stage II. ACT in previous high‐risk pT3N0 disease decreased from 15% to 3%. Use of oxaliplatin increased from 27% to 49% in patients aged ≥75 years. The revised guideline was rapidly implemented and led to an increase in oxaliplatin‐based ACT in the elderly and increased guideline‐adherence in high‐risk stage II CC.
Machine Learning Force Field Aided Cluster Expansion Approach to Configurationally Disordered Materials: Critical Assessment of Training Set Selection and Size Convergence.

Cluster expansion (CE) is a powerful theoretical tool to study the configuration-dependent properties of substitutionally disordered systems. Typically, a CE model is built by fitting a few tens or hundreds of target quantities calculated by first-principles approaches. To validate the reliability of the model, a convergence test of the cross-validation (CV) score to the training set size is commonly conducted to verify the sufficiency of the training data. However, such a test only confirms the convergence of the predictive capability of the CE model within the training set, and it is unknown whether the convergence of the CV score would lead to robust thermodynamic simulation results such as order-disorder phase transition temperature Tc. In this work, using carbon defective MoC1-x as a model system and aided by the machine-learning force field technique, a training data pool with about 13000 configurations has been efficiently obtained and used to generate different training sets of the same size randomly. By conducting parallel Monte Carlo simulations with the CE models trained with different randomly selected training sets, the uncertainty in calculated Tc can be evaluated at different training set sizes. It is found that the training set size that is sufficient for the CV score to converge still leads to a significant uncertainty in the predicted Tc and that the latter can be considerably reduced by enlarging the training set to that of a few thousand configurations. This work highlights the importance of using a large training set to build the optimal CE model that can achieve robust statistical modeling results and the facility provided by the machine-learning force field approach to efficiently produce adequate training data.
Diagnosis of Alternaria disease and Leafminer pest on Tomato Leaves using Image Processing Techniques.

BACKGROUND The diseases such as Alternaria and pests such as Leafminer threaten tomato as one of the most widely used agricultural products. These pests and diseases first damage the leaves of tomatoes, then the flowers, and finally the fruit. Therefore, the damage to the tomato tree must be controlled in its early stages. It is difficult for farmers to distinguish Alternaria disease from Leafminer pest at the early and middle stages of their outbreak on tomato leaves. In this study, 272 tomato leaf images were prepared from the farm of the Vali-e-Asr University of Rafsanjan, including 100 healthy leaves and 172 infected leaves with both Alternaria and Leafminer at the initial stages. The image processing technique, texture, neural networks (NNs), and adaptive network-based fuzzy inference system (ANFIS) classifiers were used to diagnose Alternaria disease and Leafminer pest on this dataset. RESULTS The results showed that the ANFIS classifier achieved an accuracy of 84.71% when performing an equal error rate (1-EER), 87.78% in area under the curve (AUC), and 85.23% in 3.26 seconds on the CPU for the segmentation of Alternaria disease and Leafminer pest in RGB color space. Also, the accuracy of 90% and 98% were obtained for segmentation and classification on the PlantVillage dataset in YCBCR color space. CONCLUSIONS This study suggests a high classification accuracy for an intelligent selection of pixel values to train the ANFIS classifier. This classifier has high accuracy and speed, low sensitivity to the light intensity of images, and practical application in diagnosing various diseases and pests on numerous datasets. This article is protected by copyright. All rights reserved.
Automation of dry eye disease quantitative assessment: A review

Dry eye disease (DED) is a common eye condition worldwide and a primary reason for visits to the ophthalmologist. DED diagnosis is performed through a combination of tests, some of which are unfortunately invasive, non‐reproducible and lack accuracy. The following review describes methods that diagnose and measure the extent of eye dryness, enabling clinicians to quantify its severity. Our aim with this paper is to review classical methods as well as those that incorporate automation. For only four ways of quantifying DED, we take a deeper look into what main elements can benefit from automation and the different ways studies have incorporated it. Like numerous medical fields, Artificial Intelligence (AI) appears to be the path towards quality DED diagnosis. This review categorises diagnostic methods into the following: classical, semi‐automated and promising AI‐based automated methods.
Development of Optimized Sumatriptan–Prochlorperazine Combined Orodispersible Films Without Disintegrant: in vitro, ex vivo and in vivo Characterization

Sumatriptan succinate and prochlorperazine maleate are a clinically proven combination for treating migraine and associated nausea and vomiting. Classical oral dosage forms are not frequently workable in migraine because of the associated nausea/vomiting, and no effective fixed dose combination is available. Thus, the aim of the study was to optimize a combined sumatriptan-prochlorperazine orodispersible film for rapid release of drugs. Orodispersible films were prepared by solvent casting method using varied amounts of polyvinyl alcohol and glycerol as film former and plasticizer, respectively, along with fixed levels of other ingredients employing central composite design. The optimum film (VF) demonstrated disintegration and total dispersion times as 21 s and 2.3 min, respectively. Tensile strength and Young’s modulus were 8.86 ± 0.37 MPa and 24.15 ± 0.07 MPa, respectively. The in vitro T80% of both drugs from the ODF was achieved within 4 min. The film was palatable and disintegrated in 2 min in buccal cavity of human volunteers. Permeation study through goat mucosa demonstrated 100% permeation of both drugs within 15 min. X-Ray diffraction and differential scanning calorimetry supported drugs being amorphous and Fourier transform infrared demonstrated drug-excipient compatibility in optimized film. A judicious combination of sumatriptan succinate and prochlorperazine maleate could be prepared in orodispersible films for the possible relief of migraine.
Mental health outcomes in Syrian refugees: A systematic review

Background: Syria is the main country of origin for refugees in the world. The prevalence of mental disorders in this population is high, but there is a lack of more comprehensive data on mental health issues in this population. Aim: This study aims to review the literature for mental health outcomes in Syrian refugees. Methods: We performed a systematic quantitative literature review of original observational studies indexed on the MEDLINE via PubMed, Embase, Web of Science, PsycINFO, LILACS, and SciELO databases with quantitative data reporting mental health outcomes in Syrian refugees. A descriptive analysis was conducted, and the quality of the included studies was assessed using an adaptation from The National Institutes of Health (NIH) quality assessment tool for observational studies. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines were followed. Results: A total of 64 studies were included. The majority were published between 2019 and 2020, and focused on the prevalence of post-traumatic stress disorder (PTSD), depression, and anxiety, with a wide range of variations. Other outcomes were difficulties in the post-migration period and promotive factors for mental health, such as resilience, positive coping strategies, and psychosocial well-being. Conclusions: High prevalence rates of mental disorders were observed, as well as risk factors for their occurrence. Studies showed a very high variability of prevalence rates and heterogeneity in methodologies. There is a need for research focusing on other determinants and specific necessities for mental health, especially in the post-resettlement period.
Mammalian Homologues of Yeast Sec31p AN UBIQUITOUSLY EXPRESSED FORM IS LOCALIZED TO ENDOPLASMIC RETICULUM (ER) EXIT SITES AND IS ESSENTIAL FOR ER-GOLGI TRANSPORT*

The yeast coat protein II (COPII) is responsible for vesicle budding from the endoplasmic reticulum (ER). Mammalian functional homologues for all yeast COPII components, except for Sec31p, have been reported. We have cloned a mammalian cDNA whose product (Sec31A) is about 26% identical to Saccharomyces cerevisiae Sec31p. Data base searches also revealed another partial sequence encoding a polypeptide (Sec31B) that is 40% identical to Sec31A. Northern analysis revealed that Sec31A transcripts are ubiquitously and abundantly expressed, while Sec31B transcripts are particularly enriched in the testis and thymus, but present in very low levels in other tissues. Sec31A is localized to vesicular structures that scatter throughout the cell but are concentrated at the perinuclear region. The structures marked by Sec31A contain Sec13, a component of COPII that is well characterized to mark the ER exit sites. Immunoelectron microscopy revealed that Sec31A colocalizes with Sec13 in structures with extensive ve-sicular-tubular profiles. Antibodies raised against a C-terminal portion of Sec31A co-precipitate Sec13 and inhibit ER-Golgi transport of temperature-arrested vesicular stomatitis G protein in a semi-intact cell assay. Cytosol immunodepleted of Sec31A failed to support vesicular stomatitis G protein transport, which can be rescued by a high molecular weight fraction of the cytosol containing both Sec31A The Eco RI- Not I insert of an EST clone (GenBank 32 P-labeled and used as a probe to screen a human pancreas UniZap cDNA library (Strategene) by DNA in situ hybridiza- tion. Positive clones with insert sizes larger than 3 kilobase were sequenced.Polymerase chain reactions were carried out using high fidelity Pfu polymerase from Strategene. Fragments of the cDNA obtained were generated by polymerase chain reaction and cloned into pGEX-4T vec- tor (Amersham Pharmacia Biotech) for the production of fusion proteins in bacteria.Northern blot analyses were performed using human multiple tissue Northern (MTN) blots from CLONTECH (Palo Alto, CA). A full-length cDNA is used as a probe for Sec31A. For Sec31B, a fragment of about 500 base pairs corresponding to a non-homologous region of Sec31B to Sec31A was generated by polymerase chain reaction and used as a probe. Antibodies— Polyclonal antibody against mammalian Sec13 has been described previously (8). Antiserum against human Sec23A is kindly provided by Dr Jean-Pierre Paccaud (University of Geneva Medical Center, Switzerland) (21). Polyclonal antibodies against Sec31A in this study were obtained by immunization of mice and rabbits with a soluble glutathione S -transferase fusion construct corresponding to the C-ter- minal 180 amino acids of the Sec31 coding region.
Planning for desalination in the context of the Western Cape water supply system

CITATION: Blersch, C. L. & Du Plessis, J. A. 2017. Planning for desalination in the context of the Western Cape water supply system. Journal of the South African Institution of Civil Engineering, 59(1):11-21, doi:10.17159/2309-8775/2017/v59n1a2.
Histological analysis of elastic cartilages treated with alkaline solution

GO ABSTRACT The elastic cartilage is composed by chondroblasts and chondrocytes, extracellular matrix and surrounded by perichondrium. It has a low regeneration capacity and is a challenge in surgical repair. One of obstacles in engineering a structurally sound and long-lasting tissue is selecting the most appropriate scaffold material. One of the techniques for obtaining biomaterials from animal tissues is the decellularization that decreases antigenicity. In this work, alkaline solution was used in bovine ear elastic cartilages to evaluate the decellularization and the architecture of the extracellular matrix. The cartilages were treated in alkaline solution (pH13) for 72 hours and lyophilized to be compared with untreated cartilages by histological analysis (hematoxylin-eosin, Masson's trichrome and Verhoeff slides). Areas of interest for cell counting and elastic fiber quantification were delineated, and the distribution of collagen and elastic fibers and the presence of non-fibrous proteins were observed. The results demonstrated that the alkaline solution caused 90% decellularization in the middle and 13% in the peripheral region, and maintenance of the histological characteristics of the collagen and elastic fibers and non-fibrous protein removal. It was concluded that the alkaline solution was efficient in the decellularization and removal of non-fibrous proteins from the elastic cartilages of the bovine
Morphological Studies on Herpes virus sylvilagus in Rabbit Kidney Cell Cultures1

SUMMARY Electron microscopic studies have revealed early stages of Herpesvirus sylvilagus development in the nuclei of the infected cells. Immature virions are similar in their morphology to known herpesviruses. The development of the naked particles occurs either at nuclear or at preformed cytoplasmic membranes, giving rise to two kinds of mature virions characterized by morphologically different outer coats. Cellular response to the infection is expressed by the appearance of nuclear inclusion bodies and a few lysosomes in the cytoplasm.
Load management as a smart grid concept for sizing and designing of hybrid renewable energy systems

ABSTRACT Optimal sizing of hybrid renewable energy systems (HRES) to satisfy load requirements with the highest reliability and lowest cost is a crucial step in building HRESs to supply electricity to remote areas. Applying smart grid concepts such as load management can reduce the size of HRES components and reduce the cost of generated energy considerably. In this article, sizing of HRES is carried out by dividing the load into high- and low-priority parts. The proposed system is formed by a photovoltaic array, wind turbines, batteries, fuel cells and a diesel generator as a back-up energy source. A smart particle swarm optimization (PSO) algorithm using MATLAB is introduced to determine the optimal size of the HRES. The simulation was carried out with and without division of the load to compare these concepts. HOMER software was also used to simulate the proposed system without dividing the loads to verify the results obtained from the proposed PSO algorithm. The results show that the percentage of division of the load is inversely proportional to the cost of the generated energy.