Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical Efficacy of Olaparib in IDH1/IDH2-Mutant Mesenchymal Sarcomas

PURPOSE Tumors with neomorphic mutations in IDH1/2 have defective homologous recombination repair, resulting in sensitivity to poly (ADP-ribose) polymerase (PARP) inhibition. The Olaparib Combination trial is a phase II, open-label study in which patients with solid tumors harboring IDH1/2 mutations were treated with olaparib as monotherapy, with objective response and clinical benefit rates as the primary end points. METHODS Ten patients with IDH1/2-mutant tumors by next-generation sequencing were treated with olaparib 300 mg twice daily. RESULTS Three of five patients with chondrosarcomas had clinical benefit, including one patient with a partial response and two with stable disease lasting > 7 months. A patient with pulmonary epithelioid hemangioendothelioma had stable disease lasting 11 months. In contrast, clinical benefit was not observed among four patients with cholangiocarcinoma. CONCLUSION These results indicate preliminary activity of PARP inhibition in patients with IDH1/2-mutant chondrosarcoma and pulmonary epithelioid hemangioendothelioma. Further studies of PARP inhibitors alone and in combination in this patient population are warranted.
Non-linear Effects on Stopping of Fast Moving Molecular Ions Through Solids

This thesis studies the non-linear (Barkas) effects on stopping of fast moving molecular ions through solids. We model the solid target by a rigid lattice of positive ion cores surrounded by a gas of electrons. To model the electron gas we use a hydrodynamic model with a ThomasFermi-von Weizsäcker expression for the internal energy. The disturbance to the charge density and velocity profile of the gas due to the intruder is assumed small and a perturbation expansion is used. The gas is assumed to be initially at rest. A derivation for the first and second order stopping force on an projectile due to the induced charge density of the target is given. Structure factors are introduced to capture the physics relating to the structure of the projectile and to allow maximum flexibility and generalization. The second order stopping force is calculated using a novel ”holepunch” integration method and is compared to other available methods. Results are obtained for the case of a dicluster of protons which are colinear with their direction of motion as well as for a dicluster of protons which are randomly oriented incident on an aluminum target and compared to the single proton case.
Antibiofilm Activity of Antarctic Sponge-Associated Bacteria against Pseudomonas aeruginosa and Staphylococcus aureus

Bioprospecting in unusual marine environments provides an innovative approach to search novel biomolecules with antibiofilm activity. Antarctic sponge-associated bacteria belonging to Colwellia, Pseudoalteromonas, Shewanella and Winogradskyella genera were evaluated for their ability to contrast the biofilm formation by Pseudomonas aeruginosa ATCC 27853 and Staphylococcus aureus ATCC 29213, as model organisms. All strains were able to produce biofilm at both 4 and 25 °C, with the highest production being for Colwellia, Shewanella and Winogradskyella strains at 4 °C after 24 h. Antibiofilm activity of cell-free supernatants (CFSs) differed among strains and on the basis of their incubation temperature (CFSs4°C and CFSs25°C). The major activity was observed by CFSs4°C against S. aureus and CFSs25°C against P. aeruginosa, without demonstrating a bactericidal effect on their growth. Furthermore, the antibiofilm activity of crude extracts from Colwellia sp. GW185, Shewanella sp. CAL606, and Winogradskyella sp. CAL396 was also evaluated and visualized by confocal laser scanning microscopic images. Results based on the surface-coating assay and surface tension measurements suggest that CFSs and the crude extracts may act as biosurfactants inhibiting the first adhesion of P. aeruginosa and S. aureus. The CFSs and the novel biopolymers may be useful in applicative perspectives for pharmaceutical and environmental purposes.
When midway won't do: the curvilinear relationship between intrinsic motivation and willingness to be flexible

PurposeIntrinsic motivation is held as critical for employees' willingness to be flexible (WTBF). Yet empirical research suggests that employees who find work intrinsically satisfying could resist work changes. In this study, the authors examine if a curvilinear relationship exists between these variables.Design/methodology/approachThe authors predict that the relationship between intrinsic motivation and employees' WTBF will become more positive as intrinsic motivation advances beyond moderate levels. They examine the role developmental supervisor support plays in generating the critical threshold of intrinsic motivation needed for it to be positively related with WTBF. They test their hypotheses with survey data collected in three substantially different employee samples.FindingsData support the hypothesized curvilinear relationship between intrinsic motivation and WTBF. Developmental supervisor support is found to influence employee flexibility indirectly through its linear effect on intrinsic motivation and, in turn, the quadratic effect of intrinsic motivation on WTBF.Practical implicationsThe study provides insight into how and when intrinsic motivation increases employees' WTBF and into the degree of developmental support needed to facilitate a positive relationship between these variables.Originality/valueThis is the first study to the author’s knowledge that empirically examines the relationship between intrinsic motivation and employees' WTBF.
Covid-19 lockdown: impacts on GB electricity demand and CO2 emissions

In early 2020 a wide range of social and economic restrictions were implemented in most countries in response to the global coronavirus pandemic (Covid-19). This paper uses national electricity generation data to examine the extent to which overall British electricity consumption deviated from ‘normal’ consumption patterns during the UK’s spring lockdown period, and how the combination of consumption reduction and variation in carbon intensity affected greenhouse gas emissions (GHG) associated with electricity consumption. The paper shows that ongoing trends in the reduction of electricity demand and generation carbon intensity mean that lower year-on-year demand and lower emissions would have been expected even in the absence of Covid-19. Controlling for this, the paper estimates lockdown-driven below-trend electricity reductions of up to 20% in the morning peak period, 11% in the daytime and 9% in the evening peak period in April, declining to 6%, 4% and 4%, respectively, by June. These correspond to marked reductions in morning (06:00–08:00 hours) and daytime demand during all restriction periods studied, but relatively smaller reductions in evening demand, and some evidence of a relative increase on Friday and Saturday evenings. Practice relevance The observed changes in demand are likely to be repeated in future national or local restriction periods and provide insights of value for grid and local distribution network management. This is especially true if such restrictions are required in spring 2021, as looks increasingly likely, but are also relevant to the winter 2020–21 heating season, which is likely to exacerbate the demand for electric heating, although gas remains the dominant heating fuel source in homes. However, unlike fossil fuel-based transport, the changes observed do not translate to direct emissions reductions due to the mixture of fuels used to generate electricity in Britain. Electricity generation emissions were either close to or above the trend during this period, and the effect is especially noticeable for the traditionally carbon-intensive evening peak period.
Density functional theory investigations of structural, electronic and optical properties of III arsenides

III arsenide semiconductor materials have attracted considerable attention because of their unique characteristics and unfailing applications as base materials in optoelectronics and many other state of the art technologies. In this study, III arsenide investigations are presented by performing calculations using computational approach framed within the density functional theory. Exchange-correlation energy functional plays a crucial role in the efficiency of density functional theory calculations, more soundly in the calculation of fundamental electronic energy band gap. In this density functional-theory study of III arsenide, the implications of exchange-correlation energy functional and corresponding potential were investigated on the structural, electronic and optical properties of III arsenides. For structural properties, local density approximation, generalized gradient approximation and parameterized generalized gradient approximation were applied. For the calculations of electronic properties, recently developed Tran-Blaha modified Becke-Johnson potential has been implemented additionally. To execute this study, state of the art computational code WIEN2k, based on full potential linearized augmented plane-wave and local orbitals methodology, was applied. III arsenide were simulated to obtain their lattice constant, band gap, dielectric constant, reflectivity, absorption, refraction index and the energy loss values. The results point to parameterized generalized gradient approximation as a more appropriate approximation for the calculations of structural parameters. However, the electronic band structure calculations at the level of modified Becke-Johnson potential showed considerable improvements over the other exchange correlation functionals. Besides this, the reported results related to optical properties within modified Becke-Johnson potential show a good agreement with the experimental measurements in addition to other theoretically results.
Local Grounding of Transnational Private Governance Authority: Translation, Contestation, Legitimation and Communities of Practice

ABSTRACT Scholars emphasise the constitutive ambiguity of transnational private standards and the importance of global-local interactions in their implementation. Yet how this ambiguity and these interactions shape the legitimation of transnational private governance, especially in the norm formation phase, remain open questions. The conceptual metaphor of ‘grounding’ offers a promising perspective on these questions. This article conceptualises the grounding of transnational private governance in terms of practices of translation by which transnational standard-setting is grounded in receptive local contexts; practices of contestation by which it runs aground on local resistance; and communities of practice that shape the normative grounds for legitimate standard-setting authority. An illustrative example of local Colombian reactions to the development of the global social responsibility guide ISO 26000 suggests that a basic principle of private standardisation, that standards are developed through a consensus process in which all concerned interests are effectively represented, is not as important to the legitimation of standards as many suppose, and that membership in two overlapping communities of practice—standardisation and corporate social responsibility—explains why actors legitimise standard-setters that do not fulfill a legitimacy criterion they purport to consider crucial.
Validation of the Chinese Version of the Multidimensional Workaholism Scale

The aim of this study was to translate the Multidimensional Workaholism Scale (MWS) into Chinese and then test its reliability and validity among full-time Chinese employees in two stages. In Study 1 (N = 220), the MWS was translated and exploratory factor analysis was conducted resulting in a four-factor solution consistent with the original MWS: motivational, cognitive, emotional, and behavioral. In Study 2 (N = 425), confirmatory factor analysis showed that a four-factor, bifactor model was the best fit for the data. Configural, metric, and scalar invariance models were tested which demonstrated that the Chinese version of the MWS did not differ across gender, age, and job position groups. Finally, workaholism and engagement were related and distinct from one another, and they correlated with emotional exhaustion, work-family conflict and life well-being uniquely. This study indicated that the Chinese version of the MWS is a valid and reliable tool for Chinese employees, and this has important practical implications for the individual health and career development of Chinese working adults.
Role of cognitive absorption in building user trust and experience

The growth of artificial intelligence (AI) and its applications in business has proliferated in recent years. Businesses have started adopting various technology practices relevant to automation and AI, and research investigating this phenomenon is becoming increasingly important. Taking this as a cue, the present research investigates the effect of human ‐ to ‐ machine interaction and human ‐ to ‐ human interaction towards cognitive absorption and its subsequent effect on trust, experience, and continuation intention in the context of services. The study built a 3 × 3 factorial design with automated chatbots (machine interaction) and service executives (human interaction) used as a stimulus in the experiment. Data collected from 410 respondents were analyzed using structural equation modeling to test the proposed hypotheses. The findings indicated that human ‐ to ‐ machine interaction influences cognitive absorption more positively compared to human ‐ to ‐ human interactions. The study results also provide evidence for the role of the trust, experience, and technology continuation intention in a technology background rooted in human ‐ machine interactions. The present study adds a valuable contribution to the existing literature relevant to human ‐ to ‐ machine interaction, cognitive absorption, trust, experience, and continuation intention. The study also provides valuable inputs to technology and marketing managers.
Effects of Hydrothermal Aging on CO and NO Oxidation Activity over Monometallic and Bimetallic Pt-Pd Catalysts

By combining scanning transmission electron microscopy, CO chemisorption, and energy dispersive X-ray spectroscopy with CO and NO oxidation light-off measurements we investigated deactivation phenomena of Pt/Al2O3, Pd/Al2O3, and Pt-Pd/Al2O3 model diesel oxidation catalysts during stepwise hydrothermal aging. Aging induces significant particle sintering that results in a decline of the catalytic activity for all catalyst formulations. While the initial aging step caused the most pronounced deactivation and sintering due to Ostwald ripening, the deactivation rates decline during further aging and the catalyst stabilizes at a low level of activity. Most importantly, we observed pronounced morphological changes for the bimetallic catalyst sample: hydrothermal aging at 750 °C causes a stepwise transformation of the Pt-Pd alloy via core-shell structures into inhomogeneous agglomerates of palladium and platinum. Our study shines a light on the aging behavior of noble metal catalysts under industrially relevant conditions and particularly underscores the highly complex transformation of bimetallic Pt-Pd diesel oxidation catalysts during hydrothermal treatment.
Relationship between finger print patterns with blood group and genotype among basic medical science, students of Bayero University, Kano

Fingerprint patterns and the blood genotypes of individuals are chiefly determined by genetic factors during in-utero development. Evaluating genotypes requires expertise and facilities which could relatively be difficult to obtain and operate in some setting. The aim of the current study was to determine the correlation between hand finger print patterns and the common blood typing phenotype (genotype and blood group) among agroup of consenting adult population in Nigeria. Four hundred students (217 males and 183 females) of the Faculty of Basic Medical Sciences in Bayero University Kano had their total hand fingerprints captured using a scanner / computer set up. Data regarding common blood phenotypes was also determined for all participants from the blood phenotype information on their University identification cards. The mean age of theparticipants was 21.86±3.37 years. Loop finger prints patternwas the most common identified in the participants (58.4%), followed by whorls (27.9%), and then the least was arches (13.7%). There was a significant association between the finger print patternon the left thumb (p=0.012) as well as right thumb (p=0.013) withblood groups, while the print in the right index (p=0.042) and left little finger (p= 0.024) were associated with genotypes in the participants respectively. There was a relationship between the finger prints patterns the thumb, index finger and little finger with the common blood typing phenotypes. Thus, finger print patterns on the right index and left little fingercorrelates with blood genotypes.
Pharmacovigilance as a Tool for Ensuring Economic Security in the Russian Healthcare System

–The article shows the role of the pharmacovigilance system for ensuring the economic security of the state by preventing and minimizing adverse reactions (ADRs) and side effects arising from the use of drugs. Important pharmacovigilance tools have been identified – the transmission of the received information about adverse reactions to medical and pharmaceutical specialists, as well as consumers to improve the quality of health care and patient safety in order to increase the economic efficiency of providing medical and pharmaceutical care to the population. As a result of the occurrence of undesirable reactions to the use of drugs, health deteriorates, additional treatment is required, in this regard, the recovery time and the cost of treatment increase. The growth of NR is associated with the supply from abroad of a large amount of different quality drugs, the presence of many generic drugs, which requires increased monitoring of drug safety in the postregistration period. Adverse reactions in the use of drugs in the treatment of rheumatoid arthritis were considered based on the results of monitoring of adverse reactions that occurred in patients in hospitals of the Novgorod region in the period from 2009 to 2018. To increase the participation of medical and pharmaceutical specialists in post-marketing monitoring of drug safety, it is necessary to effectively organize the participation of medical personnel: preparation of reports on the development of adverse reactions, increasing the attention of specialists regarding the safety of drug use and stimulating the transmission of messages about adverse reactions to drugs. One of the prerequisites for ensuring economic security is the availability of high-quality drug supply for the population, ensured through the competent distribution of federal budget funds, effective targeting and budgeting in the health care sector of the Russian Federation, as well as a pharmacovigilance system capable of detecting and preventing side effects and other problems associated with drugs. Keywords––pharmacovigilance, adverse reactions (ADR), drug safety, federal budget, safety monitoring, postmarketing research
Activation of AMPK sensitizes medulloblastoma to Vismodegib and overcomes Vismodegib‐resistance

Vismodegib, a Smoothened antagonist, is clinically approved for treatment of human basal cell carcinoma (BCC), in the clinical trials of medulloblastoma (MB) and other cancers. However, a significant proportion of these tumors fail to respond to Vismodegib after a period of treatment. Here, we find that AMPK agonists, A769662, and Metformin, can inhibit GLI1 activity and synergize with Vismodegib to suppress MB cell growth in vitro and in vivo. Furthermore, combination of AMPK agonists with Vismodegib is effective in overcoming Vismodegib‐resistant MB. This is the first report demonstrating that combining AMPK agonist (Metformin) and SHH pathway inhibitor (Vismodegib) confers synergy for MB treatment and provides an effective chemotherapeutic regimen that can be used to overcome resistance to Vismodegib in SHH‐driven cancers.
Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions

Purpose: The aim of the study was to estimate the diagnostic accuracy of textural, morphological and dynamic features, extracted by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) images, by carrying out univariate and multivariate statistical analyses including artificial intelligence approaches. Methods: In total, 85 patients with known breast lesion were enrolled in this retrospective study according to regulations issued by the local Institutional Review Board. All patients underwent DCE-MRI examination. The reference standard was pathology from a surgical specimen for malignant lesions and pathology from a surgical specimen or fine needle aspiration cytology, core or Tru-Cut needle biopsy for benign lesions. In total, 91 samples of 85 patients were analyzed. Furthermore, 48 textural metrics, 15 morphological and 81 dynamic parameters were extracted by manually segmenting regions of interest. Statistical analyses including univariate and multivariate approaches were performed: non-parametric Wilcoxon–Mann–Whitney test; receiver operating characteristic (ROC), linear classifier (LDA), decision tree (DT), k-nearest neighbors (KNN), and support vector machine (SVM) were utilized. A balancing approach and feature selection methods were used. Results: The univariate analysis showed low accuracy and area under the curve (AUC) for all considered features. Instead, in the multivariate textural analysis, the best performance (accuracy (ACC) = 0.78; AUC = 0.78) was reached with all 48 metrics and an LDA trained with balanced data. The best performance (ACC = 0.75; AUC = 0.80) using morphological features was reached with an SVM trained with 10-fold cross-variation (CV) and balanced data (with adaptive synthetic (ADASYN) function) and a subset of five robust morphological features (circularity, rectangularity, sphericity, gleaning and surface). The best performance (ACC = 0.82; AUC = 0.83) using dynamic features was reached with a trained SVM and balanced data (with ADASYN function). Conclusion: Multivariate analyses using pattern recognition approaches, including all morphological, textural and dynamic features, optimized by adaptive synthetic sampling and feature selection operations obtained the best results and showed the best performance in the discrimination of benign and malignant lesions.