Miracle-dz/UniFAR-FTUs huggingface dataset:
Gamma-glutamyl transferase to albumin ratio can predict severity of coronary artery disease detected by coronary computed tomography angiography.

OBJECTIVE Gamma-glutamyl transferase (GGT) to albumin ratio (GAR) has been shown to be helpful to diagnose and determine the severity of coronary artery disease (CAD). Coronary computed tomography angiography (CCTA) is a guide recommended non-invasive test that provides information about the presence, severity, and morphology of coronary plaques. In this study, our main aim was to investigate the relationship between the presence, morphology, and severity of coronary plaques detected via CCTA and GAR in patients with low to moderate risk for undiagnosed CAD. METHODS Nine hundred and sixty six patients were included who underwent CCTA. The severity of CAD and plaque morphology were investigated. CT-adapted Leaman score (CT-LeSc) was calculated to determine the extent of the CAD. The study population was further evaluated in three groups according to tertiles of GAR. RESULTS Atherosclerotic plaques were more common in the male gender and older patients with conventional cardiovascular risk factors. GAR was significantly lower in patients with normal CCTA than in patients with a non-obstructive plaque or obstructive plaque on CCTA. Patients in upper GAR tertiles had a higher coronary calcium score (CACS) and CT-LeSc. GAR was one of the independent predictors to predict severe stenotic plaque and high CACS. CONCLUSION GAR can independently predict the presence, extent, and severity of CAD determined by CT-LeSc. We believe as a cheap, safe, and widely available tool, GAR would be useful in the diagnosis of CAD.
Three new naphthoquinones from the tubers of Sinningia mauroana

Abstract Three new naphthoquinones, 5,6,7-trimethoxydunnione (1), 6,7-dimethoxy-α-dunnione (2), and 5,6,7-trimethoxydunniol (3) were isolated from the tubers of Sinningia mauroana Chautems, together with eleven known compounds: 5-hydroxy-6,7-dimethoxy-α-dunnione (4), 6-hydroxy-7-methoxy-α-dunnione (5), 7-hydroxy-6-methoxy-α-dunnione (6), cedrol (7), tectoquinone (8), plantainoside A (9), calceolarioside A (10), calceolarioside B (11), sanangoside (12), allo-calceolarioside A (13), and conandroside (14). The known compounds 4, 7–9 and 11–13 are being reported for the first time in this species. Hexane, ethyl acetate and ethanol extracts were tested for antioxidant activity by the ORAC-FL method, and the antioxidant capacity was measured as trolox equivalent (TE). The ethyl acetate (8808 µg TE g−1) and ethanol (7911 µg TE g−1) extracts showed high antioxidant capacity, while the hexane extract displayed weak antioxidant capacity (860 µg TE g−1). Graphical Abstract
Patient perspectives of coping with automated peritoneal dialysis

Background: Patients receiving peritoneal dialysis (PD) experience poor quality of life, depression, anxiety and lifestyle changes. Insights into how patients adjust to and cope with PD from a psychological perspective will aid care. Methods: Participants were recruited purposively through the Central Northern Adelaide Renal and Transplantation Service in South Australia. Ten patients receiving automated PD (APD) (5 females and 5 males) aged 31 to 77 years (M = 59.3) participated in a semi-structured interview. Interview transcripts were analysed thematically through inductive and deductive methods. Results: Five main themes representing participants’ experiences and perspectives of adjusting to and coping with APD were identified: (1) Resigned Acceptance, (2) A Bridge to Transplant, (3) Navigating Emotions at Milestones and Transitions, (4) Professional Support (Sub-themes: Psychological Support and Education and Information Delivery and (5) Social Enablers (Sub-theme: Hidden from View and Hiding Illness). Conclusions: Patients employ cognitive, emotional and behavioural strategies and rely strongly on social supports to cope with APD. PD at home aids preservation of pre-illness identity, however, also results in feelings of isolation and being misunderstood. Psychological distress and poor coping may be heightened at key disease milestones and transition periods when professional psychological support should be offered. We provide suggestions to address patients’ psychosocial needs and coping in treatment decision-making and dialysis care.
Type I Interferon Promotes Humoral Immunity in Viral Vector Vaccination

Viral vectors, including MVA, are an important antigen delivery platform and have been commonly used in vaccine development. Understanding the innate host-viral vector interactions and their impact on vaccine-induced immunity is critical but understudied. ABSTRACT Recombinant viral vectors represent an important platform for vaccine delivery. Our recent studies have demonstrated distinct innate immune profiles in responding to viral vectors of different families (e.g., adenovirus versus poxvirus): while human Ad5 vector is minimally innate immune stimulatory, the poxviral vector ALVAC induces strong innate response and stimulates type I interferon (IFN) and inflammasome activation. However, the impact of the innate immune signaling on vaccine-induced adaptive immunity in viral vector vaccination is less clear. Here, we show that Modified Vaccinia Ankara (MVA), another poxviral vector, stimulated a type I IFN response in innate immune cells through cGAS-STING. Using MVA-HIV vaccine as a model, we found that type I IFN signaling promoted the generation of humoral immunity in MVA-HIV vaccination in vivo. Following vaccination, type I IFN receptor-knockout (IFNAR1–/–) mice produced significantly lower levels of total and HIV gp120-specific antibodies compared to wild-type (WT) mice. Consistent with the antibody response, a type I IFN signaling deficiency also led to reduced levels of plasma cells and memory-like B cells compared to WT mice. Furthermore, analysis of vaccine-induced CD4 T cells showed that type I IFN signaling also promoted the generation of a vaccine-specific CD4 T-cell response and a T follicular helper (Tfh) response in mice. Together, our data indicate a role for type I IFN signaling in promoting humoral immunity in poxviral vector vaccination. The study suggests that modulating type I IFN and its associated innate immune pathways will likely affect vaccine efficacy. IMPORTANCE Viral vectors, including MVA, are an important antigen delivery platform and have been commonly used in vaccine development. Understanding the innate host-viral vector interactions and their impact on vaccine-induced immunity is critical but understudied. Using MVA-HIV vaccination of WT and IFNAR1–/– mice as a model, we report that type I IFN signaling promotes humoral immunity in MVA vaccination, including vaccine-induced antibody, B-cell, and Tfh responses. Our findings provide insights that not only add to our basic understanding of host-viral vector interactions but also will aid in improving vaccine design by potentially modulating type I IFN and its associated innate immune pathways in viral vector vaccination.
Predictive value of red blood cell distribution width level on histological response and prognosis in colorectal liver metastases.

BACKGROUND The red blood cell distribution width (RDW) level is a potential prognostic factor for solid tumours. We aimed to investigate the predictive value of pre-neoadjuvant chemotherapy (pre-NAC) RDW, preoperative RDW and the change in RDW on the pathological response and prognosis of patients with colorectal liver metastasis (CRLM), which was helpful for treatment decision-making, surveillance and prognostication. METHODS This retrospective study analyzed clinicopathologic data, treatments and outcomes of 150 CRLM patients treated with NAC followed by liver resection at our hospital. The primary outcomes were progression-free survival (PFS) and overall survival (OS). The secondary outcome was postoperative major complications. The RDW level was presented as the RDW-SD level and the RDW-CV level. The optimal cut-off of RDW level was determined by X-tile analysis. The change in RDW was scored as 0 (decreased pre-NAC RDW and decreased preoperative RDW), 2 (elevated pre-NAC RDW and elevated preoperative RDW), or 1 (all other combinations). Multivariable logistic regression analysis was performed to determine the relationships between the tumour characteristics and pathological response and the postoperative major complications. A multivariate Cox proportional hazards model was used to evaluate the prognostic factors associated with survival. RESULTS The optimal cut-off values of the RDW-CV and RDW-SD levels for survival were 13.5% and 42.2 fl, respectively. The multivariate analysis showed that a preoperative RDW-CV ≥13.5% (OR =3.215, 95% CI: 1.299-7.958, P=0.012) significantly predicted a favorable pathological response. The multivariate analysis revealed that a pre-NAC RDW-CV ≥13.5% (OR =2.462, 95% CI: 1.080-5.615, P=0.032) significantly predicted postoperative major complications. In the multivariate analysis, an RDW-CV change =2 (HR =0.487, 95% CI: 0.309-0.768, P=0.002) was a significant predictor of better PFS. The multivariate analysis also revealed that an RDW-SD change =2 (HR =0.532, 95% CI: 0.332-0.854, P=0.009) were an independent predictor of better OS. CONCLUSIONS This study revealed that pre-NAC RDW, preoperative RDW and RDW changes may be reliable markers that could predict a pathological response and prognosis in CRLM patients receiving NAC followed by liver resection.
Upregulation of RIP3 promotes necroptosis via a ROS-dependent NF-κB pathway to induce chronic inflammation in HK-2 cells

Tubular atrophy/interstitial fibrosis (TA/IF) is a major cause of late allograft loss, and inflammation within areas of TA/IF is associated with adverse outcomes in kidney transplantation. However, there is currently no satisfactory method to suppress this inflammation to improve TA/IF. The present study aimed to determine the proinflammatory role of receptor-interacting protein 3 (RIP3) in TA/IF to discover a novel therapeutic target. Reverse transcription-quantitative PCR and western blotting were performed to detect the expression of RIP3 and inflammation-associated factors. Lactate dehydrogenase release assay was used to determine necroptosis. Fluorescent 2,7-dichlorodihydrofluorescein diacetate was used to detect the levels of reactive oxygen species (ROS). The results demonstrated that patients with chronic TA/IF exhibited upregulated receptor-interacting protein 3 (RIP3) expression compared with the patients who had a favorable recovery after renal transplant. Therefore, the current study used normal renal tubular epithelial cells HK-2 to establish a cellular model with a high expression level of RIP3 in order to investigate the effect of RIP3 on renal epithelial cells after transplantation. The western blotting results demonstrated that overexpression of RIP3 could significantly increase the phosphorylation level of the necroptosis executive molecule mixed lineage kinase domain-like protein. Lactate dehydrogenase release, a key feature of necroptosis, was also markedly improved by RIP3 overexpression. Moreover, a higher inflammatory response was detected in HK-2 cells with RIP3 overexpression, and this elevated inflammation could be restored by the necroptosis inhibitor necrosulfonamide. Of note, it was found that overexpression of RIP3 activated the NF-κB signaling pathway via the excessive accumulation of ROS to induce necroptosis, which ultimately led to inflammation. Collectively, these findings indicated that overexpression of RIP3 promoted necroptosis via a ROS-dependent NF-κB pathway to induce chronic inflammation, suggesting that RIP3 may have the potential to be a therapeutic target against inflammation in TA/IF.
QA SYSTEM PREDICTION USING DATA MINING

: The Question answering system is an new standard of data fetching which gives knowledge. It allows the users to enter question and waits for answer as response, then system will predict next question based on user’s past searched questions and current interaction records of the user with system. In this system, users current interactions is maintained in a question log, the question log is maintained to extract the question from the search where user enters, from log the user sessions get extracted and user sessions questions are stored in databases. Based on user sessions system gives next question on user’s future interest, the performance of system will increases greatly if it is capable of predicting future question. For prediction, system makes use of a data mining technique called “Association rule’’.
Measurement of antioxidant activity & capacity: recent trends and applications.

Measurement of Antioxidant Activity and Capacity offers a much-needed resource for assessing the antioxidant potential of food and includes proven approaches for creating healthy food products. With contributions from world-class experts in the field, the text presents the general mechanisms underlying the various assessments, the types of molecules detected, and the key advantages and disadvantages of each method. Both thermodynamic (i.e. efficiency of scavenging reactive species) and kinetic (i.e. rates of hydrogen atom or electron transfer reactions) aspects of available methods are discussed in detail.
Extra Freedom Degrees of Six-Phase Induction Motors Used to Diagnose Stator Inter-Turn Faults

Abstract— Multi-phase electrical machines have recently drawn growing attention and usage, among which, 6-phase induction motors (6PIMs) have gained an important part. They are main candidates to be utilized in the oil and gas industries, hot rolling mill drives, pumps, ship propulsion, and traction. Condition monitoring and fault diagnosis are essential technologies, which enable incipient fault detection and removal in order to prevent serious damages to the machines and catastrophic interrupt of them. Among the incipient faults, the stator winding inter-turn fault is a rather frequent one. In recent decades, numerous studies have dealt with this fault in three-phase induction motors, however, a few reports are available concerning 6PIMs. This paper applies the winding function method to model and simulate the 6PIM with inter-turn fault in a stator phase winding. Then, using the extra degrees of freedom in 6PIM, an analytical method is used to define an efficient index for detecting the stator inter-turn faults. This index also identifies the faulty phase of the stator, shows good sensitivity to the fault severity and is almost insensitive to the load torque change. Various simulation studies and corresponding experimental test results confirm effectiveness of the proposed index.
Optimal Allocation of DG and Capacitor in Distribution Networks Using a Novel Hybrid MFO-SCA Method

Abstract This paper proposes a novel hybrid (MFO-SCA) method based on Moth Flame Optimization (MFO) algorithm and Sine Cosine Algorithm (SCA). MFO is utilized for the exploitation phase while SCA is used for the exploration phase. In addition, the hybrid MFO-SCA method is used with combined power loss sensitivity (CPLS) to determine the optimal allocation of single and multiple of distributed generations (DGs) and capacitors in distribution system. In this paper, the total active power loss is used as a single objective function for incorporating DGs and capacitors in RDS. Also, this paper studies the system performance when integrating DGs or capacitors alone and DGs with capacitors simultaneously in RDS. The proposed method is validated using the standard IEEE 69-bus and IEEE 33-bus radial distribution system (RDS). From comparative study, the novel hybrid MFO-SCA proved its effectiveness in obtaining the best global optimum results of the objective function compared with other recent optimization techniques, especially SCA and MFO algorithms.
An Analysis of Instagram Posts about Genioplasty

Abstract Social media platforms have become popular in recent years and are good ways frequently used to get information in medicine and dentistry. The purpose of this study was to evaluate the accuracy and quality of uploaded Instagram posts with #genioplasty and #chinsurgery hashtags. The first 100 posts were selected for #genioplasty and #chinsurgery hashtags and analyzed. The type of posts, posts’ purpose, the source of posts, the number of likes and comments were recorded. Fifty-three posts; 11 posts in #genioplasty and 42 posts in #chinsurgery, were irrelevant and the remaining 147 posts were evaluated. The number of comments of the posts uploaded about patient experience in #genioplasty post was statistically higher than others (p = 0.001). A statistically significant difference was found in the number of comments about preoperative-postoperative information in #chinsurgery posts (p = 0.010). The other parameters did not show a significant difference (p > 0.05). Instagram is an inappropriate social media platform for individuals to get information about genioplasty and may give more misleading and incorrect information. The patients should be guided to reach the correct sources of information on social media platforms.
Picturebooks as Critical Literacy: Experiences and Perspectives of Translingual Children From Refugee Backgrounds

This multiple case study is part of a larger investigation of literacy practices in “Our Home,” an after-school program that provides learning support to children from refugee backgrounds. I asked, “What happens when translingual children from refugee backgrounds respond to multicultural, transnational, and translingual picturebooks? ” Informed by critical literacy theories, I illuminate the experiences and perspectives of four children as they interacted with and engaged in dialogic reading of picturebooks; these critical literacy practices, along with observational data, are reported in profiles. Findings from this study reveal the ways in which children from refugee backgrounds found problematic aspects of assumptions in stories, reflected on different and contradictory perspectives, articulated the power relationships between characters, and offered alternative thoughts centered on social justice. This research expands the field’s knowledge of what doing critical literacy work with young translingual students in an after-school program looks, feels, and sounds like.
Being Guided or Having Exploratory Freedom: User Preferences of a Virtual Agent's Behavior in a Museum

A virtual guide in an immersive virtual environment allows users a structured experience without missing critical information. However, although being in an interactive medium, the user is only a passive listener, while the embodied conversational agent (ECA) fulfills the active roles of wayfinding and conveying knowledge. Thus, we investigated for the use case of a virtual museum, whether users prefer a virtual guide or a free exploration accompanied by an ECA who imparts the same information compared to the guide. Results of a small within-subjects study with ahead-mounted display are given and discussed, resulting in the idea of combining benefits of both conditions for a higher user acceptance. Furthermore, the study indicated the feasibility of the carefully designed scene and ECA's appearance.
Skin Cancer Classification using Convolutional Neural Network with Autoregressive Integrated Moving Average

Machine Learning (ML) and Deep Neural Network (DNN) based Computer-aided decision (CAD) systems show the effective implementation in solving skin cancer classification problem. However, ML approach unable to get the deep features from network flow which causes the low accuracy performance and the DNN model has the complex network with an enormous number of parameters that resulting in the limited classification accuracy. In this paper, the hybrid Convolutional Neural Network algorithm and Autoregressive Integrated Moving Average model (CNN-ARIMA) have been proposed to classify three different types of skin cancer. The proposed CNN-ARIMA able to classify skin cancer image successfully and achieved test accuracy, average sensitivity, average specificity, average precision and AUC of 96.00%, 96.02%, 97.98%, 96.13% and 0.995, respectively which outperformed the state-of-art methods.
On the Elusive Moderators of Affective Organizational Commitment

Abstract Departing from a universal perspective on affective organizational commitment, the present article examines the situational and personal variables that act as potential moderators of the relationship between affective commitment and its antecedents and outcomes. Based on emerging evidence and theory, it is argued that the relationship between extrinsic and intrinsic rewards and other job experiences and affective commitment is stronger when employees exert an influence over rewards and job experiences. This can be achieved when the organization offers opportunities for such influence or when employees’ traits help them earn expected rewards. Similarly, theory and empirical evidence suggest that the relationship between affective commitment and work outcomes is subject to moderating influences. For example, affective commitment may foster employee retention when more career opportunities are available, making one’s belongingness to the organization more attractive. Such career opportunities may result from the organization’s action or from individuals’ own proactivity to obtain them. Likewise, the relationship between affective commitment and work performance is likely stronger when supervisors’ leadership helps employees engage in those behaviors that are rewarded by the organization. Finally, we discuss avenues for future inquiry by identifying group-level and cultural variables as promising moderators that warrant attention.
Phase Diagrams and Stability of Lead-Free Halide Double Perovskites Cs2BB′X6: B = Sb and Bi, B′ = Cu, Ag, and Au, and X = Cl, Br, and I

Lead-free pnictogen/noble metal halide double perovskites Cs2BiAgCl6, Cs2BiAgBr6, and Cs2SbAgCl6 are some of the most promising environmentally friendly alternatives to lead–halide perovskites. However, due to their relatively large band gaps (1.9–2.2 eV), they are not yet competitive candidates for use in photovoltaic devices. In this work, we perform a systematic study of the thermodynamic stability of the entire family of Cs2BB′X6 compounds (B = Bi and Sb, B′ = Cu, Ag, and Au, and X = Cl, Br, and I), and we explore the possibility of chemical mixing as a route to stabilize pnictogen/noble metal halide perovskites with low band gaps. Our calculations indicate that Cs2BiAg1–xCuxCl6 mixes should be amenable to synthesis and could reduce the band gap down to 1.6–1.9 eV.