Miracle-dz/UniFAR-FTUs huggingface dataset:
Nonlinear electrophoresis of ideally polarizable particles

We focus in this paper on the nonlinear electrophoresis of ideally polarizable particles. At high applied voltages, significant ionic exchange occurs between the electric double layer, which surrounds the particle, and the bulk solution. In addition, steric effects due to the finite size of ions drastically modify the electric potential distribution in the electric double layer. In this situation, the velocity field, the electric potential, and the ionic concentration in the immediate vicinity of the particle are described by a complicated set of coupled nonlinear partial differential equations. In the general case, these equations must be solved numerically. In this study, we rely on a numerical approach to determine the electric potential, the ionic concentration, and the velocity field in the bulk solution surrounding the particle. The numerical simulations rely on a pseudo-spectral method which was used successfully by Chu and Bazant [J. Colloid Interface Sci.315(1), 319–329 (2007)] to determine the electric potential and the ionic concentration around an ideally polarizable metallic sphere. Our numerical simulations also incorporate the steric model developed by Kilic et al. [Phys. Rev. E75, 021502 (2007)] to account for crowding effects in the electric double layer, advective transport, and for the presence of a body force in the bulk electrolyte. The simulations demonstrate that surface conduction significantly decreases the electrophoretic mobility of polarizable particles at high zeta potential and at high applied electric field. Advective transport in the electric double layer and in the bulk solution is also shown to significantly impact surface conduction.
Mobile App (WHEELS) to Promote a Healthy Lifestyle in Wheelchair Users With Spinal Cord Injury or Lower Limb Amputation: Usability and Feasibility Study

Background Maintaining a healthy lifestyle is important for wheelchair users’ well-being, as it can have a major impact on their daily functioning. Mobile health (mHealth) apps can support a healthy lifestyle; however, these apps are not necessarily suitable for wheelchair users with spinal cord injury or lower limb amputation. Therefore, a new mHealth app (WHEELS) was developed to promote a healthy lifestyle for this population. Objective The objectives of this study were to develop the WHEELS mHealth app, and explore its usability, feasibility, and effectiveness. Methods The WHEELS app was developed using the intervention mapping framework. Intervention goals were determined based on a needs assessment, after which behavior change strategies were selected to achieve these goals. These were applied in an app that was pretested on ease of use and satisfaction, followed by minor adjustments. Subsequently, a 12-week pre-post pilot study was performed to explore usability, feasibility, and effectiveness of the app. Participants received either a remote-guided or stand-alone intervention. Responses to semistructured interviews were analyzed using content analysis, and questionnaires (System Usability Score [SUS], and Usefulness, Satisfaction, and Ease) were administered to investigate usability and feasibility. Effectiveness was determined by measuring outcomes on physical activity, nutrition, sleep quality (Pittsburgh Sleep Quality Index), body composition, and other secondary outcomes pre and post intervention, and by calculating effect sizes (Hedges g). Results Sixteen behavior change strategies were built into an app to change the physical activity, dietary, sleep, and relaxation behaviors of wheelchair users. Of the 21 participants included in the pilot study, 14 participants completed the study. The interviews and questionnaires showed a varied user experience. Participants scored a mean of 58.6 (SD 25.2) on the SUS questionnaire, 5.4 (SD 3.1) on ease of use, 5.2 (SD 3.1) on satisfaction, and 5.9 (3.7) on ease of learning. Positive developments in body composition were found on waist circumference (P=.02, g=0.76), fat mass percentage (P=.004, g=0.97), and fat-free mass percentage (P=.004, g=0.97). Positive trends were found in body mass (P=.09, g=0.49), BMI (P=.07, g=0.53), daily grams of fat consumed (P=.07, g=0.56), and sleep quality score (P=.06, g=0.57). Conclusions The WHEELS mHealth app was successfully developed. The interview outcomes and usability scores are reasonable. Although there is room for improvement, the current app showed promising results and seems feasible to deploy on a larger scale.
Canadian pyrrhotite treatment: the history, inventory and potential for tailings processing

ABSTRACT Canadian nickel-copper ore deposits have been a major source of nickel, copper, cobalt and precious metals for more than 120 years. The two main minerals of interest, pentlandite (Pn, (Ni,Fe)9S8) and chalcopyrite (Cp, CuFeS2), are usually accompanied by large quantities of pyrrhotite (Po, Fe1-xS). Until the 1950s, Po containing small amounts of nickel was routinely smelted as part of the valuable Ni concentrate. The rapid growth in Ni demand following World War II created impetus to treat the Po separately. This action would liberate a valuable smelting capacity for higher value Pn and recover Ni, Fe, S and energy. The Ni industry would then have a more sustainable process. Both Inco (now Vale) and Falconbridge (now Glencore) developed processes and built large industrial plants for this purpose that operated with some success. But technical issues and tenuous economics were continual challenges. By the early 1980s, these industrial operations were closed and Po containing up to 1%Ni became a waste material reporting to the tailings stream. As part of a major study on possible processing methods of Po for both value recovery and waste remediation, this paper presents a historical perspective on Canadian Po tailings with regard to their inventory.
Dimensionality reduction techniques with applications in Raman spectroscopy

Raman spectroscopy (RS) is an optical interrogation method used to identify molecules through inelastic light scattering. This process often results in the acquired data having high dimensionality, as each observation has multiple intensities over hundreds of wave numbers. As a result, a common progression in the analysis of the spectra is to first reduce the dimensionality of the data before further examination. This thesis details the use of different dimensionality reduction techniques, including an extension of nonnegative matrix factorization (NMF). NMF is the process of decomposing the data matrix of interest into two lower rank matrices, with the constraint that all matrices must be nonnegative. This algorithm is extended in order to impose constraints on the model by decomposing the one of the specified matrices into two further nonnegative matrices, creating three in total. The application of this technique handles the previously discussed issues while also having added interpretability in comparison to principal component analysis (PCA), which is currently used in RS.
The Search for Predictable Moral Partners: Predictability and Moral (Character) Preferences

Across six studies (N = 1,988 US residents and 81 traditional people of Papua), participants judged agents acting in sacrificial moral dilemmas. Utilitarian agents, described as opting to sacrifice a single individual for the greater good, were perceived as less predictable and less moral than deontological agents whose inaction resulted in five people being harmed. These effects generalize to a non-Western sample of the Dani people, a traditional indigenous society of Papua, and persist when controlling for homophily and notions of behavioral typicality. Notably, deontological agents are no longer morally preferred when the actions of utilitarian agents are made to seem more predictable. Lastly, we find that peoples’ lay theory of predictability is flexible and multi-faceted, but nevertheless understood and used holistically in assessing the moral character of others. On the basis of our findings, we propose that assessments of predictability play an important role when judging the morality of others.
Long-distance Texting: Text Messaging Predicts Relationship Satisfaction in Long-distance Relationships

Thanks to the widespread use of smartphones, romantic couples can connect with their partners from virtually anywhere, at any time. Remote communication may be particularly important to long-distance relationships (LDRs), compared to geographically close relationships (GCRs). The goals of the current research were to examine differences between LDRs and GCRs in (1) the patterns of remote communication (video calls, voice calls, and texting), and (2) how frequency and responsiveness of remote communication are related to relationship satisfaction. Data were drawn from an online survey of emerging adults (n = 647) who were in a relationship or dating someone (36.5% were in an LDR). Participants in LDRs engaged in more frequent video calling, voice calling, and texting, compared to those in GCRs. LDR participants also perceived their partners to be more responsive during video and voice calls, compared to GCR participants. More frequent and responsive texting predicted significantly greater relationship satisfaction among participants in LDRs, but not GCRs. Meanwhile, frequency of voice calls was associated with greater relationship satisfaction in GCRs, but not in LDRs. The use of video calls was not related to relationship satisfaction in either group. Overall, study findings add to a sparse literature on remote communication in romantic couples and suggest a uniquely positive role of texting within LDRs. Further research is needed to examine the ways in which LDR and GCR couples can best capitalize on different forms of remote technology to maintain their relationships during periods of separation.
Modified naive Bayes classifier for classification of protein-protein interaction sites

The prediction of protein-protein interaction sites (PPIs) is a vital importance in biology for understanding the physical and functional interactions between molecules in living systems. There are several classification approaches for the prediction of PPI sites; the naïve Bayes classifier is one of the most popular candidates. But the ordinary naïve Bayes classifier is sensitive to unusual protein sequence profiling feature dataset and sometimes it gives ambiguous prediction results. To overcome this problem we have been modified the naïve Bayes classifier by radial basis function (RBF) kernel for the prediction of PPI sites. We investigate the performance of our proposed method compared with the popular classifiers like linear discriminant analysis (LDA), naïve Bayes classifier (NBC), support vector machine (SVM), AdaBoost and k-nearest neighbor (KNN) by the protein sequence profiling data analysis. The mNBC method showed sensitivity (86%), specificity (81%), accuracy (83%) and MCC (65%) for prediction of PPI sites.
BSEN: A BiSiamese Entity Normalization Method for Biomedicine

Normalization of named entities in the field of biomedicine is an important task in biomedical text data mining. Compared with other tasks in biomedical text mining research, there are relatively few researches on entities normalization. In this article, a BiSiamese entity normalization method for biomedicine (BSEN) is proposed. Firstly, the text similarity algorithm is analyzed, and an improved similarity measurement algorithm for biomedical inverse text frequency and cosine (BIC) is proposed. Secondly, the data set is trained in pairs using BiSiamese network and combined with BIC to calculate text similarity. The entity corresponding to the maximum similarity calculated in the normalization knowledge base is the normalized result obtained by the BSEN method. The verification experiments on the verification data set show that the BSEN has achieved better normalization results than the existing methods.
The Effects Of Stem Cells On Recovery After Stroke

Introduction Stroke is the second most prevalent cause of death worldwide under heart disease [1,4,15,16,39]. It is also the primary cause of disability in the United States with more than 700,000 Americans are affected Abstract Stroke is a prevalent cause of death and disability worldwide with a limited time window for treatment. The current treatment methods must be administered within a few hours after the onset of stroke. Embryonic Stem Cells (ESCs), Induced Pluripotent Stem Cells (iPSCs), Neural Stem Cells (NSCs), Mesenchymal Stem Cells (MSCs), Dental Pulp Stem Cells (DPSCs), and Autologous CD34 Stem Cells have all shown promise as potential therapies after stroke due to regenerative, anti-inflammatory, multidifferentiation, and neuroprotective properties when tested after transplantation in animals. Athough the safety of NSCs, MSCs, and Autologous CD34 Stem Cells has been shown through human clinical trials; additional clinical studies must be conducted in order to determine the efficacy of stem cell infusion after stroke.
Cognitive Aspect of Designing Ethnicity

The problem of cognitive construction of consolidating mechanisms by analyzing the phenomenon of common sense as the cognitive basis of solidarity, leading to a stable integrity of ethnic structures, is considered. The work uses a system analysis, in which the content of intelligence and ethnic structures are understood as integral systems capable of deep integration. It was found that the presence of ethnicity at the borders of social and biological transforms it into a phenomenon with a high degree of transformation, and especially in the imaginary space of identity. A cognitive mechanism for constructing identification, which ultimately generates certain models of ethnic behavior, seems to be a systemic element that allows any ethnic images to function. Common sense is one of the methods of constructing ethnic, goal-oriented activity. It can potentially act not only as a source of everyday communication, but also initiate both internal and external cooperative activities of ethnic entities united by an understanding of the common social good, including the good of the planetary. The authors make an attempt to comprehend the cognitive conditions for the functioning of ethnicity through the prism of the concept of common sense - the universal anthropological basis of a conscious social good. Common sense defines historical memory, operational reactions in the moment of the present, and a joint vision of the future. This important ability is based on a common basis for any ethnic group - the biopsychosocial nature of the cognitive capabilities of most members of the group. It is in this process of collective self-awareness that social intuition manifests itself, that is, such an integral socio-psychological characteristic of the subject of social action, which includes the ability to effectively predict the development of social situations.
Local Versus Intravenous Application of Tranexamic Acid in Knee Arthroplasty: A Prospective Randomized Study

Purpose Total knee arthroplasty (TKA) is commonly performed for advanced knee joint disease. Considerable postoperative blood loss, however, is an unavoidable occurrence because of extensive soft-tissue release, and the large area of cancellous bone osteotomy associated with the procedure. Besides, knee ﬂexion and extension activities that begin the day after the operation adds to the problem. Aim of the Work: to compare between the intravenous the intraarticular tranexamic acid (TXA) administration in total knee arthroplasty surgery. Methods: Methods: It is a prospective double-blinded randomized controlled study. This prospective, two-arm, parallel-group study was conducted at El-Hussein University Hospital and El-Agouza Hospital on 20 patients who underwent total knee arthroplasty and fulfilled all assumed inclusion and exclusion criteria. Result: Results: The average total blood loss amount in the drain after 48 hrs. in the 1st group was 365±74.722 while in the 2nd group it was 575±88.976. This indicates a significant decrease in blood loss amount in the 1st group (intraarticular TXA group) than the 2nd group (intravenous TXA group). Also, it was found that the decrease in hemoglobin (Hb) level is less in the 1st group than in the 2nd group which indicates less postoperative anemia. Conclusion: Concerning intraarticular administration of TXA seemed to be effective much more than intravenous injection in terms of blood loss amount and transfusion frequency.
Exploration of the Association between Muscle Volume and Bone Geometry Reveals Surprising Relationship at the Genetic Level

The evolution of jaws in cichlid fishes of the East African Great Lakes is a textbook example of adaptive radiation in vertebrates. Karl Liem postulated that this adaptive radiation has been possible due to the functional decoupling of two cichlid functional units – the pharyngeal jaw (PJ) and the oral jaw (OJ). This functional decoupling of the jaws has enabled the OJ to be relieved of its dual role of prey capturing and processing and has allowed the PJ to take on the role of prey processing. As a result, African cichlids have adapted the morphology of their functional units (i.e., oral jaws) to specialize in a feeding mechanism best suited for their habitat. However, global morphological changes (across the OJ and PJ) are understudied, especially, at the genetic level. study, rock dwelling species African Lake Malawi used - Labeotropheus fuelleborni and Tropheops “red cheek” Both species have distinct craniofacial morphologies for specialized benthic feeding (LF) and for generalized feeding (TRC). This morphological variation allowed us to investigate the functional decoupling of the jaws by studying differences in bone shape and muscle volumes in an F5 hybrid population. Strong phenotypic correlations were observed between and within the tissues of the OJ and PJ. Further, to identify phenotype to genotype associations, a Quantitative Locus (QTL) analysis and a fine mapping analysis was conducted. The results show some evidence of overlapping genetic control (i.e., pleiotropy) suggesting some genetic coupling between the two jaws.
Dispositional and situational attribution of COVID-19 risk: A content analysis of response typology (Version: 1)

In the current COVID-19 pandemic, there have been official health recommendations of social distancing, thorough handwashing, and self-isolation to prevent the spread of the virus. However, compliance with these recommendations has been mixed. We suggest that non-compliance may be justified by one’s (mis)perception of their own COVID-19 risk. In this paper, we explore the dispositional and situational attribution of self-reported COVID-19 risk, as per Heider’s Attribution Theory. We conducted a content and framework analysis of responses to an online survey, in which participants (N = 114) were asked to rate their likelihood of contracting the COVID-19 virus, before providing textual responses to explain their rating. Overall, we observed that generally, participants who rated their risk to be low made more dispositional attributions (i.e. attributing their risk to factors such as age and own personal hygiene) whereas higher risk participants made more situational attributions (i.e. attributing COVID-19 risk to government decision-making and other people’s cleanliness). A finalised framework of five response typologies including intrinsic, behavioural, balanced, contextual, and disengaged responses was systematically applied to the data. These results will be discussed in the context of attribution theory and risk perception, whilst providing future recommendations for research that tackles non-compliance of COVID-19 behaviours.
Feedlot diets containing increasing starch levels and different feed additives changes cecal proteome profile involved on energy metabolism and inflammatory response of Nellore cattle

Background Diets for feedlot cattle require higher energy density, thus contributing to the high rate of fermentable carbohydrate. The use of feed additives is necessary to reduce possible metabolic disorders. The objective of this study was to analyze the post-rumen effects of different levels of starch (25, 35, and 45%) and additives (Monensin, Blend of essential oil + exogenous α-Amylase) in diets for Nellore cattle feedlot. The cecum tissue proteome was separated by two-dimensional polyacrylamide gel electrophoresis (2D-PAGE), and then, with the verification of differentially expressed protein SPOTS, these were characterized by electrospray ionization mass spectrometry (ESI-MS/MS). Results The expression of nine enzymes participating in the Steps of the glycolysis pathway was verified, such as: Glyceraldehyde-3-phosphate dehydrogenase (GAPDH), Glyceraldehyde-3-phosphate dehydrogenase like-17 protein, Triosephosphate isomerase (Step 1); Phosphoglycerate mutase and Phosphoglycerate mutase 2 (Step 2); Alpha-enolase (ENO1), Beta-enolase (ENO3) and Fructose-bisphosphate aldolase (ALDOB) (Step 4); and Pyruvate Kinase (PKM) (Step 5). There was expression of three enzymes linked to catalytic activities participating in the synthesis of lactate from pyruvate: L-lactate dehydrogenase B, L-lactate dehydrogenase A chain and L-lactate dehydrogenase. The ATP synthase subunit beta and ATP synthase subunit beta_mitochondrial participate in the electron transport chain, producing ATP from ADP in the presence of a proton gradient across the membrane. Due to the manipulation of diets, the expression of the Leukocyte elastase inhibitor protein, associated with the inflammatory response.Conclusions The use of blends of essential oil associated with α-amylase as a feed additive promoted the greater expression of enzymes in the pathway of glycolysis and gluconeogenesis (and the absence of proteins linked to inflammation (Leukocyte elastase inhibitor) in cecum tissues. On the other hand, the increase in starch in the diets promoted a reduction in enzymes linked to carbohydrate degradation with increased responses linked to inflammatory injuries.
CONNECTION BETWEEN PERSONAL VALUES AND MUSIC PREFERENCES

This article describes the main correlations that were obtained between music preferences and personal values. It has been discovered that personal values play a significant role in people’s music preferences and they are at the forefront in proposing a map that links personal values to music preferences. According to the results, music preferences can be defined by personal values since people tend to listen to a specific type of music if corresponding values are projected such as conservatism and openness. In this case, music is broken into four preference dimensions which include reflective and complex for folk, jazz, and classical, rebellious and intense comprising of punk, rock, and alternate, conventional and upbeat comprising of pop, country, and soundtracks, and lastly rhythmic and energetic including funk, electronica, hip-hop, and soul. Besides, preferences may be defined by socio-demographic characteristics such as age and gender such that the young people tend to prefer music because of what the other peers listen to and enjoy music in social places such as bars, restaurants, and music festivals, middle-aged people listen to the music of their preferences and at the time of their choosing at homes or while carrying out activities, the aged tend to have less music preference but some cannot do anything without listening to music and therefore have to keep their preference music always. Males tend to focus on certain genres of music such as heavy metal and rock which are associated with cognitive listening and demonstrates a negatively conservative nature of music while females prefer listening to pop music more than males. This article discloses the main results that were obtained in the empirical study of different articles concerning the topic of the relationship between personal values and music preferences. No such research was conducted on Ukrainian-speaking samples before.