Miracle-dz/UniFAR-FTUs huggingface dataset:
Author ' s personal copy Induced-charge electrokinetic phenomena

In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: a b s t r a c t a r t i c l e i n f o The field of nonlinear " induced-charge " electrokinetics is rapidly advancing, motivated by potential applications in microfluidics as well as by the unique opportunities it provides for probing fundamental scientific issues in electrokinetics. Over the past few years, several surprising theoretical predictions have been observed in experiments: (i) induced-charge electrophoresis of half-metallic Janus particles, perpendicular to a uniform AC field; (ii) microfluidic mixing around metallic structures by induced-charge electro-osmosis, and (iii) fast, high-pressure AC electro-osmotic pumping by non-planar electrode arrays, and ICEK effects upon the collective behavior of polarizable particle suspensions has been studied theoretically and computationally. A new experimental system enables a clean and direct comparison between theoretical predictions and measured ICEK flows, providing a route to fundamental studies of particular surfaces and high-throughput searches for optimal ICEK systems. Systematic discrepancies between theory and experiment have engendered the search for mechanisms, including new theories that account for electrochemical surface reactions, surface contamination, roughness, and the crowding of ions at high voltage. Promising directions for further research, both fundamental and applied, are discussed. The classical subject of electrokinetics (electrically driven fluid flow and particle motion) in liquid electrolytes, originally developed in colloid science [1–3], is experiencing a renaissance in microfluidics [4–8]. Electrokinetic phenomena scale favorably with miniaturiza-tion and offer unique advantages in microfluidics, such as low hydrodynamic dispersion, no moving parts, electrical actuation and sensing, and easy integration with microelectronics. Until recently, almost all studies of electrokinetics have assumed linear response in the applied voltage, based on the hypothesis of fixed surface charge (or fixed " zeta potential " relative to the bulk solution). However, linear electrokinetic phenomena have a number of possible drawbacks: Direct current (DC) must be passed to sustain electric fields; electrophoresis cannot separate particles with fixed, uniform zeta potential by size or shape in free solution; and large voltages must be applied along centimeter or greater distances to achieve the necessary field strengths, giving little direct control over local fields and flows within microchannels. Ten years ago, Ramos et al. [9 • ] discovered alternating-current electro-osmotic flow …
Beliefs about Voices and Schemas about Self and Others in Psychosis

Background: In people who experience auditory verbal hallucinations, beliefs the person holds about their voices appear to be clinically important as mediators of associated distress and disability. Whilst such beliefs are thought to be influenced by broader schematic representations the person holds about themselves and other people, there has been little empirical examination of this, in particular in relation to beliefs about voice intent and the personal meaning of the voice experience. Method: Thirty-four voice hearers with a diagnosis of schizophrenia or schizoaffective disorder completed the Psychotic Symptom Rating Scales and measures of beliefs about voices (Revised Beliefs About Voices Questionnaire, Interpretation of Voices Inventory) and schemas (Brief Core Schema Scales). Results: Beliefs about voices were correlated with both negative voice content and schemas. After controlling for negative voice content, schemas were estimated to predict between 9% and 35% of variance in the six beliefs about voices that were measured. Negative-self schemas were the strongest predictors, and positive-self and negative-other schemas also showed potential relationships with beliefs about voices. Conclusions: Schemas, particularly those regarding the self, are potentially important in the formation of a range of clinically-relevant beliefs about voices.
Is Increased Price Inflexibility Stabilizing

THIS PAPER EXAMINES A BASIC QUESTION: the link between the degree of price flexibility and the variability of output. The two standard intermediate macroeconomic textbook models are the classical and the Keynesian model. In the Keynesian model, prices are assumed to be perfectly rigid and output adjusts. On the other hand, in the classical model prices are completely flexible and output is perfectly stable. The two models suggest that as prices become more flexible output should become less variable. Now, since Mundell (1963) pointed it out, it has been well known that the price level and the expected rate of change of the price level, that is, the expected inflation rate, exert opposing forces on the level of output in a static Keynesian model. Since inflation is an essentially dynamic phenomenon, the static Mundell effect prompts a natural consideration of the link between the degree of price flexibility and the variability of output in a dynamic context. Tobin (1975) presents a formal model where lower prices work to move the economy toward full employment but an expectation of falling prices raises the real interest rate and moves the economy away from full employment. Recently DeLong and Summers (1986a, 1986b), Driskill and Sheffrin (1986), and King (1988) have rejuvenated interest in the question of whether increased price flexibility/inflexibility will stabilize or destabilize output. While Driskill
Predictors of health-related quality of life perspectives, self-esteem, and life satisfactions of older adults following spousal loss: an 18-month follow-up study of widows and widowers.

PURPOSE OF THE STUDY The overall purpose of the study was to examine the relationship between widowed persons' baseline assessments of self-efficacy beliefs and their ratings of perceived health-related quality of life, life satisfactions, and self-esteem obtained in an 18-month follow-up. DESIGN AND METHOD At Time 1, a survey of sociodemographics, a multidimensional measure of global self-efficacy, and a domain-specific measure of self-efficacy, having eight subscales of self-efficacy (interpersonal, instrumental, emotional, social support, nutritional, physical, financial, and spiritual) were administered to a group of 231 widows and widowers to obtain baseline assessments of their self-efficacy beliefs. At Time 2, a follow-up of 211 widows and widowers was conducted to obtain their perceptions of health-related quality of life, life satisfactions, and levels of self-esteem 24 months following spousal loss and to assess whether self-efficacy beliefs play a predictive role in widowed individuals' perceptions of their health-related quality of life, life satisfactions, and self-esteem. RESULTS A series of gender-specific multiple regression analyses models revealed that widows and widowers differ significantly with respect to the relationship between specific domains of self-efficacy and their perceived quality of life in the longer term following spousal loss. IMPLICATIONS Implications of the findings are discussed for clinicians and health professionals working with bereaved spouses in terms of intervention programs for retraining of self-efficacy.
Sodium bicarbonate as an ergogenic aid in acute moderate hypoxic conditions : the effect on severe intensity exercise

Sodium bicarbonate (NaHCO3) is a pre-exercise alkalotic buffering agent that is ingested to alleviate accumulation of hydrogen anions during exercise. As such, this supplement has been extensively used in scientific literature to assess NaHCO3 ergogenic properties during high intensity exercise. These ergogenic properties are likely to be apparent when exercise perturbs the acid-base balance with excessive H+ accumulation; therefore, the lowest intensity at which NaHCO3 may exert an ergogenic effect is during exercise performed within the severe intensity domain. The physiological characteristics of severe intensity exercise include exacerbated rise in [bla], and therefore acid-base perturbations, until the termination of exercise. The environmental conditions can also have an additive physiological stress to exercise; indeed, acute hypoxia increases the relative energy contribution of anaerobic glycolysis. The resultant effect is an exacerbated rise in H+ during exercise, which may, at least in part, contribute to the ergolytic effect of acute hypoxia on exercise performance and capacity. As such, severe intensity exercise performed in acute hypoxic conditions may benefit from NaHCO3 ingestion to alleviate acidic stress and mitigate for the ergolytic effect of acute hypoxia. The purpose of this thesis was to evaluate the effect of NaHCO3 on severe intensity exercise performed in acute hypoxic conditions. Furthermore, this effect was evaluated through the parameter of the powerduration relationship (i.e. CP and ! ") during all-out, intermittent and constant load exercise to exhaustion. Together, this series of investigations are the first to demonstrate that NaHCO3 may be an effective ergogenic aid in acute moderate hypoxic conditions. In particular, this effect was observed during exercise in the severe intensity domain, with NaHCO3 enhancing the capacity of ! " during all-out and constant load exercise; along with increasing volume of work that can be performed at this intensity during intermittent exercise. Indeed, Chapter six demonstrated that NaHCO3 may accelerate the rate of ! " recovery during intermittent exercise when applied to the ! #$% " model. Interestingly, this thesis is the first to identify the presence of an intensity dependant effect, with the magnitude of NaHCO3 ergogenicity diminishing as exercise intensity rises from the severe intensity domain to supra-maximal intensities. Further research should consider testing these hypotheses in alternative ambient conditions to determine the efficacy of NaHCO3 (e.g. in normoxic conditions or in combined extreme environmental conditions).
Aspects of Multivariate Statistical Theory

Tables. Commonly Used Notation. 1. The Multivariate Normal and Related Distributions. 2. Jacobians, Exterior Products, Kronecker Products, and Related Topics. 3. Samples from a Multivariate Normal Distribution, and the Wishart and Multivariate BETA Distributions. 4. Some Results Concerning Decision-Theoretic Estimation of the Parameters of a Multivariate Normal Distribution. 5. Correlation Coefficients. 6. Invariant Tests and Some Applications. 7. Zonal Polynomials and Some Functions of Matrix Argument. 8. Some Standard Tests on Covariance Matrices and Mean Vectors. 9. Principal Components and Related Topics. 10. The Multivariate Linear Model. 11. Testing Independence Between k Sets of Variables and Canonical Correlation Analysis. Appendix: Some Matrix Theory. Bibliography. Index.
Diffusion dans les silicates fondus : un bilan des connaissances actuelles

Nous proposons une systematisation des resultats de la litterature en recherchant des parametres simples, permettant de prevoir, a priori, les diffusivites dans les verres et les silicates fondus. Les mesures de diffusivite de traceur sont les plus nombreuses, en particulier pour Na et He dans le systeme Na2O :SiO2. La correlation negative entre le teneur en Na2O et l'energie d'activation de diffusion pour le sodium, montre des ecarts importants entre les resultats des differents auteurs. Ceux-ci s'expliquent probablement par des phenomenes de demixtion. Pour He, cet effet est bien mis en evidence et on observe aussi une augmentation de l'energie d'activation avec la teneur en Na2O, a l'inverse du sodium. Cet effet de composition reste modere, compare aux variations observees entre differents elements ; seule l'eau augmente la diffusivite des elements les moins mobiles de plusieurs ordres de grandeur. Un modele de solide elastique est actuellement le seul qui fournisse des resultats interessants. Le transport de l'eau depend fortement de la teneur en eau du systeme. Nous proposons pour la diffusivite une dependance lineaire avec la fugacite. La complexite des melanges de silicates naturels ne permet pas le decouplage des composants. Tous les elements majeurs se deplacent globalement "a la meme vitesse". La relation entre les coefficients de diffusion ainsi mesures et la diffusivite de traceur, si elle existe, reste a determiner, la teneur a, ici aussi, une forte influence.
Robocasting of Ceramic Fischer–Koch S Scaffolds for Bone Tissue Engineering

Triply Periodic Minimal Surfaces (TPMS) are promising structures for bone tissue engineering scaffolds due to their relatively high mechanical energy absorption, smoothly interconnected porous structure, scalable unit cell topology, and relatively high surface area per volume. Calcium phosphate-based materials, such as hydroxyapatite and tricalcium phosphate, are very popular scaffold biomaterials due to their biocompatibility, bioactivity, compositional similarities to bone mineral, non-immunogenicity, and tunable biodegradation. Their brittle nature can be partially mitigated by 3D printing them in TPMS topologies such as gyroids, which are widely studied for bone regeneration, as evidenced by their presence in popular 3D-printing slicers, modeling systems, and topology optimization tools. Although structural and flow simulations have predicted promising properties of other TPMS scaffolds, such as Fischer–Koch S (FKS), to the best of our knowledge, no one has explored these possibilities for bone regeneration in the laboratory. One reason for this is that fabrication of the FKS scaffolds, such as by 3D printing, is challenged by a lack of algorithms to model and slice this topology for use by low-cost biomaterial printers. This paper presents an open-source software algorithm that we developed to create 3D-printable FKS and gyroid scaffold cubes, with a framework that can accept any continuous differentiable implicit function. We also report on our successful 3D printing of hydroxyapatite FKS scaffolds using a low-cost method that combines robocasting with layer-wise photopolymerization. Dimensional accuracy, internal microstructure, and porosity characteristics are also presented, demonstrating promising potential for the 3D printing of TPMS ceramic scaffolds for bone regeneration.
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated

Pre-trained language models trained on large-scale data have learned serious levels of social biases. Consequently, various methods have been proposed to debias pre-trained models. Debiasing methods need to mitigate only discriminatory bias information from the pre-trained models, while retaining information that is useful for the downstream tasks. In previous research, whether useful information is retained has been confirmed by the performance of downstream tasks in debiased pre-trained models. On the other hand, it is not clear whether these benchmarks consist of data pertaining to social biases and are appropriate for investigating the impact of debiasing. For example in gender-related social biases, data containing female words (e.g. ``she, female, woman''), male words (e.g. ``he, male, man''), and stereotypical words (e.g. ``nurse, doctor, professor'') are considered to be the most affected by debiasing. If there is not much data containing these words in a benchmark dataset for a target task, there is the possibility of erroneously evaluating the effects of debiasing. In this study, we compare the impact of debiasing on performance across multiple downstream tasks using a wide-range of benchmark datasets that containing female, male, and stereotypical words. Experiments show that the effects of debiasing are consistently \emph{underestimated} across all tasks. Moreover, the effects of debiasing could be reliably evaluated by separately considering instances containing female, male, and stereotypical words than all of the instances in a benchmark dataset.
Versatile Remote Data Checking Scheme for Cloud-Assisted Internet of Things

Internet of Things (IoT) revolutionizes data collection, especially in e-healthcare, where patients data from wearables and sensors improves medical services. However, IoT’s limitations in computing and storage require cloud outsourcing. Combining IoT with the cloud has potential but raises concerns about data security. Leveraging cloud storage presents an attractive solution for accommodating the substantial volume of data outsourced by IoT devices. As the outsourcing of real-time data to cloud storage becomes commonplace, the adoption of data auditing schemes emerges as a means to ensure data integrity. To curtail operational expenses, various deduplication techniques are commonly employed on outsourced data, effectively sidestepping redundant data and resulting in storage and bandwidth efficiencies. Although real-time data typically remains distinct due to its diverse origins, scenarios, such as data sharing or trading in data-driven services and datamarkets, can lead to data redundancy. Moreover, in order to fortify against any potential information leakage, encryption is implemented prior to deduplication. Convergent encryption (CE) stands as a prominent exemplar of this approach. Effectively integrating data auditing, deduplication, and encryption for wireless sensor devices is no trivial task. To efficiently and securely accommodate data while authenticating them through a heterogeneous framework, we present a novel remote data checking scheme, denoted as the VRDC scheme. This scheme empowers IoT data to be encrypted, updated, deduplicated, and audited, aligning with the imperatives of security, privacy, and efficiency. Through comprehensive security analysis, we establish that our VRDC scheme is fortified against potential threats. Our experimental findings highlight the efficiency of our approach in the realms of auditing, deduplication, and updates. Furthermore, the evidence highlights the potential for optimization within our scheme when compared to related works. This is achieved through the careful management of dynamic update scales within a file.
NIH Precision Medicine Initiative: Implications for Diabetes Research

In his January 2015 State of the Union address, President Barack Obama announced a new Precision Medicine Initiative (PMI) to personalize approaches toward improving health and treating disease (www.whitehouse.gov/precision-medicine). He stated that the goal of such an initiative was “to bring us closer to curing diseases like cancer and diabetes, and to give all of us access to the personalized information we need to keep ourselves and our families healthier. ” Since that time, the National Institutes of Health (NIH) has taken a leadership role in implementing the President’s vision related to biomedical research (www.nih.gov/precisionmedicine). Here, we discuss the NIH component of the PMI, related ongoing diabetes research, and near-term research that could position the diabetes field to take full advantage of the opportunities that stem from the PMI.
p53-dependent Induction of PVT1 and miR-1204*

Background: p53 regulates myriad target genes, including non-coding RNAs that effect cellular outcomes consistent with tumor suppression. Results: p53 induces expression of the PVT1 locus, which encodes both long non-coding RNA and several microRNAs, one of which, miR-1204, is directly regulated by p53. Conclusion: miR-1204 may regulate key p53 outcomes, including cell death. Significance: p53-regulated miR-1204 expression may contribute to tumor suppression. p53 is a tumor suppressor protein that acts as a transcription factor to regulate (either positively or negatively) a plethora of downstream target genes. Although its ability to induce protein coding genes is well documented, recent studies have implicated p53 in the regulation of non-coding RNAs, including both microRNAs (e.g. miR-34a) and long non-coding RNAs (e.g. lincRNA-p21). We have identified the non-protein coding locus PVT1 as a p53-inducible target gene. PVT1, a very large (>300 kb) locus located downstream of c-myc on chromosome 8q24, produces a wide variety of spliced non-coding RNAs as well as a cluster of six annotated microRNAs: miR-1204, miR-1205, miR-1206, miR-1207-5p, miR-1207-3p, and miR-1208. Chromatin immunoprecipitation (ChIP), electrophoretic mobility shift assay (EMSA), and luciferase assays reveal that p53 binds and activates a canonical response element within the vicinity of miR-1204. Consistently, we demonstrate the p53-dependent induction of endogenous PVT1 transcripts and consequent up-regulation of mature miR-1204. Finally, we have shown that ectopic expression of miR-1204 leads to increased p53 levels and causes cell death in a partially p53-dependent manner.
[Assessment of stimulant use especially caffeine intake in selected group of the breastfeeding women].

BACKGROUND Taking into account the negative impact of stimulants, including alcohol, nicotine and excessive consumption of caffeine on the baby and his mother, a very important is to stop or to restrict their use, especially during pregnancy and lactation. OBJECTIVE Purpose of the study was to evaluate alcohol consumption, cigarette smoking, tobacco smoke exposure and caffeine consumption in breastfeeding women from Masovian Province. MATERIAL AND METHOD The survey was conducted from September 2010 till March 2011. The study group consisted of 102 breastfeeding women aged 19-38 years. Information on alcohol consumption, smoking and exposure to tobacco smoke was obtained by questionnaire interview. The results about caffeine intake were obtained using 3-day dietary records method and food frequency questionnaire method. Source of information about the caffeine content in products were the published literature, in the case of energy drinks the manufacturer's label. RESULTS Among all women surveyed (n = 102), up 17% of respondents declared alcohol consumption, cigarette smoking of 6% and 15% of passive exposure to tobacco smoke. The average caffeine consumption in a group called "caffeine consumers" (n = 94) was 127.4 +/- 76.0 mg/person/day for 3-day dietary records method and 163.4 +/- 100.6 mg/person/day for the food frequency questionnaire method. The correlation coefficient between the used methods was r = 0.71 (p < 0.001). The main sources of caffeine, regardless of the method of data collection were: black tea, which provided about 60% of caffeine and ground coffee (about 20%) and instant coffee (about 13%). CONCLUSIONS Despite general knowledge about the harmful effects of smoking cigarette/tobacco smoke exposure and the consumption of alcohol and foods high in caffeine, some respondents did not halt the use of these stimulants during lactation, indicating a need for an education in this field.