Miracle-dz/UniFAR-FTUs huggingface dataset:
Vanadium Carbide (V4C3) MXene as an Efficient Anode for Li-Ion and Na-Ion Batteries

Li-ion batteries (LIBs) and Na-ion batteries (SIBs) are deemed green and efficient electrochemical energy storage and generation devices; meanwhile, acquiring a competent anode remains a serious challenge. Herein, the density-functional theory (DFT) was employed to investigate the performance of V4C3 MXene as an anode for LIBs and SIBs. The results predict the outstanding electrical conductivity when Li/Na is loaded on V4C3. Both Li2xV4C3 and Na2xV4C3 (x = 0.125, 0.5, 1, 1.5, and 2) showed expected low-average open-circuit voltages of 0.38 V and 0.14 V, respectively, along with a good Li/Na storage capacity of (223 mAhg−1) and a good cycling performance. Furthermore, there was a low diffusion barrier of 0.048 eV for Li0.0625V4C3 and 0.023 eV for Na0.0625V4C3, implying the prompt intercalation/extraction of Li/Na. Based on the findings of the current study, V4C3-based materials may be utilized as an anode for Li/Na-ion batteries in future applications.
Environmentally Powered Multiparametric Wireless Sensor Node for Air Quality Diagnostic

Sensor networks dedicated to environmental monitoring have helped in the analysis of primal processes and have also provided vital hazard early warnings. At the same time, environmental energy is now becoming a popular workable energy source dedicated to embedded and wireless computing systems where manual recharging and/or replacement of hundreds or even thousands of batteries on a regular basis is not practical. In this paper, we present a sensor node (SENNO), a multiparametric sensor node that intelligently manages energy transfer for perpetual operation without human intervention during air quality monitoring. The overall system design and experimental results are presented together with energy budget allocation. Preliminary results demonstrate that, after a tailored calibration process, the presented platform could effectively report and trace air quality levels in a type of “set and forget” scenario.
Contribution of the Testosterone Androgen Receptor–PARD3B Signaling Axis to Tumorigenesis and Malignance of Glioblastoma Multiforme through Stimulating Cell Proliferation and Colony Formation

Background: Glioblastoma multiforme (GBM) is the most common and malignant brain tumor with very poor prognoses. After surgical resection of the primary tumor, rapid proliferation of residual glioblastoma cells is a critical cause explaining tumor malignance and recurrence. In this study, we evaluated de novo roles of the testosterone androgen receptor (AR)–PARD3B signaling axis in the tumorigenesis and malignance of human GBM and the possible related mechanisms. Methods: AR and PARD3B gene expressions and their correlations were mined from The Cancer Genome Atlas (TCGA) database and analyzed using the UALCAN system. Analyses using a real-time PCR, cell proliferation, and colony formation and a loss-of-function strategy by suppressing AR activity with its specific inhibitor, enzalutamide, were then carried out to determine roles of the testosterone AR–PARD3B signaling axis in tumor malignance. Results: Expressions of AR, PARD3B mRNA, and proteins in human GBM tissues were upregulated compared to normal human brain tissues. In contrast, levels of AR and PARD3B mRNA in most TCGA pan-cancer types were downregulated compared to their respective normal tissues. Interestingly, a highly positive correlation between AR and PARD3B gene expressions in human GBM was identified. The results of a bioinformatics search further showed that there were five AR-specific DNA-binding elements predicted in the 5′ promoter of the PARD3B gene. Regarding the mechanisms, exposure of human glioblastoma cells to testosterone induced AR and PARD3B gene expressions and successively stimulated cell proliferation and colony formation. Suppressing AR activity concurrently resulted in significant attenuations of testosterone-induced PARD3B gene expression, cell proliferation, and colony formation in human glioblastoma cells. Conclusions: This study showed the contribution of the testosterone AR–PARD3B signaling axis to the tumorigenesis and malignance of human GBM through stimulating cell proliferation and colony formation. Therefore, the AR-PARD3B signaling axis could be targeted for potential therapy for human GBM.
‘Scraping’ Reddit posts for academic research? Addressing some blurred lines of consent in growing internet-based research trend during the time of Covid-19

ABSTRACT The global scale of Covid-19 has constrained academics from conducting much person-facing research. Reactively, trend is increasing for digital-based methodologies capturing already existing online data. Scholars often ‘scrape’ user-postings from internet forums using coding algorithms and text capture tools, before analysing data, drawing conclusions and publishing findings. The online social news aggregation and discussion website Reddit is a particularly rich source of data for researchers. The public nature of Reddit materials may suggest rationale for user-data to be replicated, analysed and archived; indefinitely and in multiple locations, for scholarly research. However, this position overlooks several key ethical considerations. This paper presents an overview and explanation of Reddit, followed by an exploration of studies that use Reddit-acquired data. Arising ethical issues are discussed, and solutions to salient dilemmas presented. This is to enhance awareness of potential problems and improve protections for those whose data is unknowingly used for research.
Problems and Consequences of Whistle Blowing: single instrumental case study of a whistle blower in public sector institution in Punjab, Pakistan

The actions of whistleblowers are potentially beneficial in a developed society but it may not be the case in a developing and underdeveloped society. In a developing society like Pakistan, the scenario of whistle blowing is very much different from the other countries. In an atmosphere of massive corruption, citizens have low confidence in public sector organizations when they are in a need to report wrong doings to the authorities. But one, who takes an initiation for it, has to face certain problems and consequences. This paper aims at investigating the problems and consequences of a whistle blower in a public sector organization at micro level. To explain the said issue, this study was conducted by using qualitative case study method and involved the study of a case in real life. The single instrumental case study was conducted with a woman (daily-wage employee) in a public sector university. The overall procedure for conducting a case study was opted from Creswell’s model (Creswell, 2013). Major derived themes from data were catch 22, hydra-headed administrative system, whistle blower protection and individual problems. It is concluded that in the absence of a proper mechanism for whistle blowing, one has to face the consequences so the researchers suggests that every institution might address the said issues by legislating and implementing whistle blowing to secure the whistle blower rights.
Impedimetric Detection Based on Label-Free Immunoassay Developed for Targeting Spike S1 Protein of SARS-CoV-2

After the COVID-19 pandemic started all over the world, great importance was placed on the development of sensitive and selective bioanalytical assays for the rapid detection of the highly pathogenic SARS-CoV-2 virus causing COVID-19 disease. In this present work, an impedimetric immunosensor was developed and applied for rapid, reliable, sensitive and selective detection of the SARS-CoV-2 S1 protein. To detect the SARS-CoV-2 virus, targeting of the spike S1 protein was achieved herein by using S1 protein-specific capture antibody (Cab-S1) immobilized screen-printed electrode (SPE) in combination with the electrochemical impedance spectroscopy (EIS) technique. With the impedimetric immunosensor, the detection limit for S1 protein in buffer medium was found to be 0.23 ng/mL (equal to 23.92 amol in 8 µL sample) in the linear concentration range of S1 protein from 0.5 to 10 ng/mL. In the artificial saliva medium, it was found to be 0.09 ng/mL (equals to 9.36 amol in 8 µL sample) in the linear concentration range of S1 protein between 0.1 and 1 ng/mL. The selectivity of the impedimetric immunosensor toward S1 protein was tested against influenza hemagglutinin antigen (HA) in the buffer medium as well as in artificial saliva.
CK2 Inhibition and Antitumor Activity of 4,7-Dihydro-6-nitroazolo[1,5-a]pyrimidines

Today, cancer is one of the most widespread and dangerous human diseases with a high mortality rate. Nevertheless, the search and application of new low-toxic and effective drugs, combined with the timely diagnosis of diseases, makes it possible to cure most types of tumors at an early stage. In this work, the range of new polysubstituted 4,7-dihydro-6-nitroazolo[1,5-a]pyrimidines was extended. The structure of all the obtained compounds was confirmed by the data of 1H, 13C NMR spectroscopy, IR spectroscopy, and elemental analysis. These compounds were evaluated against human recombinant CK2 using the ADP-GloTM assay. In addition, the IC50 parameters were calculated based on the results of the MTT test against glioblastoma (A-172), embryonic rhabdomyosarcoma (Rd), osteosarcoma (Hos), and human embryonic kidney (Hek-293) cells. Compounds 5f, 5h, and 5k showed a CK2 inhibitory activity close to the reference molecule (staurosporine). The most potential compound in the MTT test was 5m with an IC50 from 13 to 27 µM. Thus, our results demonstrate that 4,7-dihydro-6-nitroazolo[1,5-a]pyrimidines are promising for further investigation of their antitumor properties.
Are “wrong” models useful? A qualitative study of discrete event simulation modeller stories

ABSTRACT Little is known about models deemed ”wrong” by their modellers or clients in Operational Research (OR). This paper aims to improve our understanding of “wrong” Discrete Event Simulation (DES) models based on empirical evidence. We interview 22 modellers who describe projects where modelling did not go as expected and explain how they dealt with those situations. This resulted in 54 stories reporting that a model was identified ”wrong” either by the modeller, the client or both. We perform a qualitative text analysis of the stories to identify the factors that define a ”wrong” model as well as potential uses of ”wrong” models. The results show that some models even though considered ”wrong” may still be useful in practice and provide valuable insights to users and modellers. This study offers practical suggestions for users and modellers to consider when dealing with a model that is considered ”wrong”.
Alginate hydrogel cross-linked by Ca2+ to promote spinal cord neural stem/progenitor cell differentiation and functional recovery after a spinal cord injuryhh

Abstract Alginate capillary hydrogels seeded with differentiated cells can fill the lesion cavity and promote axonal regeneration after grafting into the injured spinal cord. Neural stem/progenitor cells (NSPCs) can potentially repair the spinal cord; however, effects of alginate hydrogels (AHs) on NSPCs remain unknown. In this study, we fabricated AHs cross-linked by Ca2+ and seeded hydrogels with rat embryonic day 14 NSPCs. Immunocytochemistry and electron microscopy show that NSPCs survive, proliferate and differentiate into neurons in vitro within the capillaries. After transplantation into an acute T8 complete spinal cord transection site in adult rats, approximately one-third (38.3%) of grafted cells survive and differentiate into neurons (40.7%), astrocytes (26.6%) and oligodendrocytes (28.4%) at 8 weeks post-grafting. NSPCs promote the growth of host axons within the capillaries in a time-dependent manner. Host axons make synapse-like contacts with NSPC-derived neurons within the hydrogel channels, and graft-derived axons extend into the host white and gray matter making putative synapses. This is paralleled by improved electrophysiological conductivity across the lesion and partial hindlimb locomotor recovery.
An Improved Best-First Branch and Bound Algorithm for Unconstrained Two-Dimensional Cutting Problems

In this Paper, we develop an improved branch and bound algorithm for the (un)weighted unconstrained two-dimensional cutting problem. In the proposed algorithm, we improve the branching strategies of the existing exact algorithm and reduce the size of problem by removing the dominated pieces from the problem. We apply the newly Proposed definition of dominated cutting pattern and it can reduce the number of nodes that must be searched during the algorithm procedure. The efficiency of the proposed algorithm is presented through comparison with the exact algorithm known as the most efficient.
Evaluating the Tsunamigenic Potential of Buried Versus Trench‐Breaching Megathrust Slip

Subduction megathrust ruptures that breach the trench, such as in the 2011 M = 9 Tohoku‐oki earthquake, can be very tsunamigenic. However, whether buried ruptures are intrinsically less tsunamigenic has not been fully investigated. Here, we conduct this investigation by studying the mechanics of seafloor deformation and the resultant tsunami runup. With a trench‐breaching rupture, deformation is dominated by the rigid‐body translation of the frontal upper plate, and seafloor uplift is enhanced by the horizontal motion of the sloping seafloor. With a buried rupture, the rigid‐body motion is reduced, but the shortening of the upper plate due to seaward slip termination causes elastic thickening to enhance tsunamigenic seafloor uplift. By combining a finite‐element deformation model and a shallow‐water equation tsunami model, we systematically test various subduction zone geometrical and slip parameters to study the trade‐off between rigid‐body translation and elastic thickening in causing seafloor uplift and tsunami runup. To isolate the effect of slip depth, we compare scenarios with the same peak slip and rupture width. We find that very shallow ruptures, including those breaching the trench, are generally less tsunamigenic than deeper ruptures. Given peak slip, tsunamigenic potential is maximized if the rupture is not too shallow or too deep but is buried to moderate depths. Our model tests using variable hypothetical rupture depths suggest that, with a slip magnitude as large as in the 2011 Tohoku‐oki earthquake, tsunami runups as high as the observed would occur even if the rupture were fully buried.
An exploratory study of the results of the implementation of EFQM in private Spanish firms

PurposeThe implementation of business excellence models is becoming a key competitive priority for companies, but the type of results they obtain by implementing such models and the importance of such results remain open issues. The purpose of this paper is to clarify the results obtained by companies that implement the European Foundation for Quality Management (EFQM) excellence model, with a focus on their importance and nature.Design/methodology/approachAn empirical study was conducted in 68 Spanish firms that were immersed in the process of implementing EFQM. The methodology consists of a descriptive analysis and factor analysis in order to determine which groups of results are the most important. Finally, clusters of firms are analyzed to establish their profile in relation to these groups, using cluster analysis.FindingsThis study shows that the main results of the implementation of EFQM are an improvement in the external image of the company and an increased efficiency of internal processes. In addition, the results can be grouped into internal results, human resources results and economic results, with the first group being the most important. Finally, the results show that there are three groups of firms, categorized according to their results orientation: highly results-oriented, moderately results-oriented and minimally results-oriented.Practical implicationsCompanies are in a better position to anticipate and solve the problems that may arise during the implementation process if they understand the results of the implementation of EFQM, along with the motivations for and barriers to the implementation. Also, this research shows that the bodies promoting and motivating quality should make a special effort to emphasize the importance of non-financial results in companies that implement EFQM.Originality/valueThis paper extends the knowledge in the field of business excellence models by developing an instrument to measure implementation results from the perspective of quality managers who were specifically appointed to lead the implementation of the EFQM excellence model in companies.
The Spirit of Critical Race Theory

An underappreciated aspect of critical race theory (CRT) is its analysis of the intersection of race, law, religion, and spirituality. These topics are of concern to critical race theorists because a complete critique of U.S. law must account for how religion is embedded in the nation’s founding documents and subsequent jurisprudence. Recently, leading scholars have called for a theory that accounts for the codefining quality of race, racism, and religion. I argue that CRT is an appropriate answer to these calls. I demonstrate CRT’s utility by renewing the religion and spirituality-based critique of race law that undergirds early CRT. Then, I discuss the spirituality of CRT, noting its founders’ reliance on Christian tradition and the spiritual claims in its tenets. Finally, I suggest future lines for research and show how CRT speaks to several debates among religious practitioners and academic researchers.
Humic Acids Affect the Detection of Metal Ions by Cyanobacteria Carbon Quantum Dots Differently

A “top-down” synthesis of carbon quantum dots (CQDs), novel fluorescent C materials from waste biomass, is both cost-effective and environmentally friendly. N-rich cyanobacteria are promising precursors to produce CQDs with high fluorescence (FL) intensity for the detection of metal ions. Herein, we synthesized cyanobacteria-based CQDs using a hydrothermal process and evidenced their high FL intensity and stability. The cyanobacteria-based CQDs showed powerful sensitivity for the specific detection of Fe3+ and Cr6+, which could be ascribed to (i) static FL quenching as a result of the interaction between –OH, –NH2, and –COOH groups with the metal ions, (ii) internal filtering effects between the CQDs and Fe3+ or Cr6+, and (iii) fluorescence resonance energy transfer between CQDs and Cr6+. Humic acids (HAs) coexisting led to an underestimation of Fe3+ but an overestimation of Cr6+ by the CQDs due to the different FL quenching mechanisms of the CQDs. HAs sorbed Fe3+ and wrapped the CQDs to form a barrier between them, inhibiting FL quenching of CQDs by Fe3+. As for Cr6+, HAs reduced Cr6+ and also led to FL quenching; the sorbed HAs on the CQDs acted as a carrier of electrons between Cr6+ and the CQDs, enhancing FL quenching of the CQDs. This study is the first work to evidence the interference of HAs in the detection of metal ions by CQDs derived from cyanobacteria, which would enlighten the application of CQDs in a natural aqueous environment.
Conditional AIC Under General and Generalized Linear Mixed Models and Smoothing in the Presence of Random Effects with Application to fMRI Data Analysis

This thesis examines model selection for clustered data. Such data are often modeled using random effects. Conditional Akaike information, when cluster specific inference is desired, was proposed in Vaida and Blanchard (2005) and used to derive a corresponding model selection criterion under linear mixed models. We extend the approach to general and generalized linear mixed models. Exact calculations are not available outside linear mixed models so we resort to asymptotic approximations. We show that under general linear mixed models with correlated errors, the number of effective degrees of freedom is equal to the trace of the usual 'hat' matrix plus the number of parameters in the error covariance matrix. Using it one can define a crude version of the conditional AIC (cAIC), which is known to be inaccurate due to the estimation of unknown variance parameters. We show however, that a simple rule-of-thumb' correction performs nearly as well as an asymptotically unbiased cAIC counting for the unknown parameters, one which is difficult to compute without specific programming for each case of the error correlation structure. For generalized linear mixed models, we consider a bootstrap method in addition to the rule-of- thumb. Finally, we investigate non-parametric estimation of a mean when data are clustered. We consider smoothing via splines with either L1 or L2 penalization. These models may be written as penalized general linear mixed models, thus allowing the use of existing software. We apply our methods to functional MRI time courses from multiple subjects
Senescent Human Pancreatic Stellate Cells Secrete CXCR2 Agonist CXCLs to Promote Proliferation and Migration of Human Pancreatic Cancer AsPC-1 and MIAPaCa-2 Cell Lines

Interactions between pancreatic cancer cells and pancreatic stellate cells (PSCs) play an important role in the progression of pancreatic cancer. Recent studies have shown that cellular senescence and senescence-associated secretory phenotype factors play roles in the progression of cancer. This study aimed to clarify the effects of senescence-induced PSCs on pancreatic cancer cells. Senescence was induced in primary-cultured human PSCs (hPSCs) through treatment with hydrogen peroxide or gemcitabine. Microarray and Gene Ontology analyses showed the alterations in genes and pathways related to cellular senescence and senescence-associated secretory phenotype factors, including the upregulation of C-X-C motif chemokine ligand (CXCL)-1, CXCL2, and CXCL3 through the induction of senescence in hPSCs. Conditioned media of senescent hPSCs increased the proliferation—as found in an assessment with a BrdU incorporation assay—and migration—as found in an assessment with wound-healing and two-chamber assays—of pancreatic cancer AsPC-1 and MIAPaca-2 cell lines. SB225002, a selective CXCR2 antagonist, and SCH-527123, a CXCR1/CXCR2 antagonist, attenuated the effects of conditioned media of senescent hPSCs on the proliferation and migration of pancreatic cancer cells. These results suggest a role of CXCLs as senescence-associated secretory phenotype factors in the interaction between senescent hPSCs and pancreatic cancer cells. Senescent PSCs might be novel therapeutic targets for pancreatic cancer.
Notched UWB filter using exponential tapered impedance line stub loaded microstrip resonator

In this study, two ultra-wideband (UWB) filters having the fractional bandwidth >120% are designed, analysed and fabricated. The first filter is designed with three quarter-wavelength short-circuited stubs and second by using exponential tapered impedance line stub loaded microstrip resonator. The first filter consists of five transmission poles within the passband. The second filter with tapered inductive loading on quarter-wavelength high impedance line exhibits a sharp notch stopband around 5.5 GHz, to suppress the interference from IEEE 302.11a WLAN band signals with an attenuation level >30 dB. A good agreement between the measured and predicted results is achieved, which validate the authors’ filter designs.