Miracle-dz/UniFAR-FTUs huggingface dataset:
Music evokes vivid autobiographical memories

Music is strongly intertwined with memories—for example, hearing a song from the past can transport you back in time, triggering the sights, sounds, and feelings of a specific event. This association between music and vivid autobiographical memory is intuitively apparent, but the idea that music is intimately tied with memories, seemingly more so than other potent memory cues (e.g., familiar faces), has not been empirically tested. Here, we compared memories evoked by music to those evoked by famous faces, predicting that music-evoked autobiographical memories (MEAMs) would be more vivid. Participants listened to 30 songs, viewed 30 faces, and reported on memories that were evoked. Memories were transcribed and coded for vividness as in Levine, B. , Svoboda, E. , Hay, J. F. , Winocur, G. , & Moscovitch, M. [2002. Aging and autobiographical memory: Dissociating episodic from semantic retrieval. Psychology and Aging, 17, 677–689]. In support of our hypothesis, MEAMs were more vivid than autobiographical memories evoked by faces. MEAMs contained a greater proportion of internal details and a greater number of perceptual details, while face-evoked memories contained a greater number of external details. Additionally, we identified sex differences in memory vividness: for both stimulus categories, women retrieved more vivid memories than men. The results show that music not only effectively evokes autobiographical memories, but that these memories are more vivid than those evoked by famous faces.
Diversity and Corporate Performance: A Review of the Psychological Literature

This Article examines two approaches to diversity management in the context of procedural justice theory: 1) maximizing the benefit of diversity in the workplace and 2) minimizing any potential harm. With regard to the former, this Article argues that the application of procedural justice theory will create conditions under which employees of all backgrounds feel comfortable contributing their unique perspectives, thus maximizing the benefits of diversity. Applying procedural justice theory may also reduce potential conflicts arising from a diverse workforce by encouraging non-prejudiced, respectful behavior and strengthening organizational identity. As a test of these principles, a data set of 2,366 employees is examined. These data show that procedural justice principles promote better productivity among both white and black employees. Thus, procedural justice may be an important tool in diversity management.
Two-level energy management strategy for a fuel cell-battery-ultracapacitor hybrid system

This paper provides a two-level energy management strategy for a fuel cell-battery-ultracapacitor (UC) hybrid system. In the proposed strategy, the battery and UC packs are seen as an energy storage system (ESS) at the first level and the equivalent consumption minimization strategy is used to distribute load power between this ESS and the fuel cell system. The penalty factor is tuned based on estimated average load power and SOC of the ESS. At the second level, the power distribution between the battery and UC packs is determined using the equivalent series resistance-based control strategy to minimize the energy loss. Then, the performance of the proposed two-level energy management strategy is analyzed in simulation under a realistic load profile. Finally, detailed comparison results show that the two-level energy management strategy can achieve lower hydrogen consumption, compared with the rule-based method.
Money vs. Time: Family Income, Maternal Labor Supply, and Child Development

We study the effect of family income and maternal hours worked on child development. Our instrumental variable analysis suggests different results for cognitive and behavioral development. An additional $1,000 in family income improves cognitive development by 4.4 percent of a standard deviation but has no effect on behavioral development. A yearly increase of 100 work hours negatively affects both outcomes by approximately 6 percent of a standard deviation. The quality of parental investment matters and the substitution effect (less parental time) dominates the income effect (higher earnings) when the after-tax hourly wage is below $13.50. Results call for consideration of child care and minimum wage policies that foster both maternal employment and child development.
Suicide assessment and treatment: Gaps between theory, research, and practice

ABSTRACT A considerable body of literature focuses on suicide risk assessment, treatment, and prevention. However, incorporation of these research and theoretical advances in routine care by practitioners has been largely unexamined. We examine the challenges—lack of training, fear, complexities of decision-making, practical barriers, lack of usage of assessment tools, and violations of psychometric principles by assessment tools—that confront practitioners when utilizing advances in the field. Identifying and addressing these barriers has implications to help bridge the gaps between theory, research, and practice to improve quality of care. Clinical, training, policy implications, and future research directions are reviewed.
Trust-based facilitator for e-partnerships

In this paper, we propose a facilitator that finds capable and trustworthy partners on behalf of client users, which helps users form and maintain e-partnerships for electronic commerce and electronic collaboration. Unlike existing capability- based facilitators or matchmakers, the facilitator collects and maintains private “word- of- mouth” trust information as well as capabilities from each user and uses the information for personalized trustbased facilitation for each user, which is done through the facilitation protocols and trust propagation mechanisms. Compared to other existing trust mechanisms, the characteristics of trust, which this facilitator handles, are personalized- collaborativesubjective- qualitative- private.
Random Linear Network Coding for 5G Mobile Video Delivery

Exponential increase in mobile video delivery will continue with the demand for higher resolution, multi-view and large-scale multicast video services. Novel fifth generation (5G) 3GPP New Radio (NR) standard will bring a number of new opportunities for optimizing video delivery across both 5G core and radio access network. One of the promising approaches for video quality adaptation, throughput enhancement and erasure protection is the use of packet-level random linear network coding (RLNC). In this work, we discuss the integration of RLNC into the 5G NR standard, building upon the ideas and opportunities identified in 4G LTE. We explicitly identify and discuss in detail novel 5G NR features that provide support for RLNC-based video delivery in 5G, thus pointing out to the promising avenues for future research.
Semi-dense motion segmentation for moving cameras by discrete energy minimization

We present an approach for two-view motion segmentation for freely moving cameras, by formulating the epipolar constraint and spacial consistency into a discrete energy minimization problem, which can be efficiently solved using graph cut algorithms. With dense optical flow and proper sampling, a set of matched points is acquired for computing the fundamental matrix and the corresponding epipolar lines. The points distance to the epipolar lines, and their position on the image plane are used to construct a Markov Random Field (MRF) with discrete label-space. The 2-dimension label-space, i.e. motion area or static area, is computed using graph cut algorithms. We demonstrate the effectiveness of our method with the Johns Hopkins 155 motion dataset.
Nonconvex generalizations of ADMM for nonlinear equality constrained problems

The growing demand for efficient and distributed optimization algorithms for large-scale data stimulates the popularity of Alternating Direction Method of Multipliers (ADMM) in numerous areas. While linear equality constrained problems have been extensively explored to be solved by ADMM, there lacks a generic framework for ADMM to solve problems with nonlinear equality constraints, which are common in practical applications (e.g., spherical constraints). To address this problem, we proposed a new generic ADMM framework for handling nonlinear equality constraints in this paper, called neADMM. First, we propose the generalized problem formulation and discuss three useful nonconvex applications in detail, which fit into our neADMM framework. Secondly, we systematically provide sufficient conditions to ensure that each subproblem of the neADMM has an optimal value. Thirdly, we give an upper bound of the objective value and prove the convergence properties under a special condition. Extensive experiments on several datasets demonstrate the convergence as well as the effectiveness of our neADMM against several state-of-the-art methods.
Integrated analysis of long non-coding RNAs in human colorectal cancer

Accumulating evidence highlights the role of long non-coding RNAs (lncRNAs) in tumors. However, the genome-wide expression and roles of lncRNAs in colorectal cancer (CRC) remain unknown. Here, we systematically examined the global gene expressions in primary and synchronous liver metastases CRC tissue, in which thousands of aberrantly expressed lncRNAs were characterized. Co-expression analysis revealed that some lncRNAs correlated to their neighboring mRNAs in expression levels, whereas others formed networks with protein-coding genes in trans. We observed H3K4me3 was enriched at expressed lncRNA transcription start sites (TSSs) and correlated to dysregulated lncRNAs. Furthermore, we identified primary and metastasis tumor linked lncRNA signatures positively correlated with poor-prognosis gene set. Finally, functional experiments demonstrated two candidate lncRNAs were required for proliferation and migration of CRC cells. In summary, we provided a new framework for lncRNA associated clinical prognosis evaluation and target selection of gene therapy in CRC.
Applicability of Business Process Model Analysis Approaches - A Case Study in Financial Services Consulting

The analysis of business process models gains more and more atten- tion in IS research. Several analysis approaches have been developed. All of them provide different features, such as syntax checking or pattern recognition. This paper investigates the applicability and relevance of business process model analysis approaches using a case study from financial services consult- ing. Two research contributions are provided. First, an overview about common model analysis features and its relevance for consulting processes are provided. Second, the applicability of the automatic business process model analysis ap- proaches is investigated. Results show that the majority of features can raise ef- ficiency of analyses in business process reengineering projects.
Stability of biogenic metal(loid) nanomaterials related to the colloidal stabilization theory of chemical nanostructures

Abstract In the last 15 years, the exploitation of biological systems (i.e. plants, bacteria, mycelial fungi, yeasts, and algae) to produce metal(loid) (Me)-based nanomaterials has been evaluated as eco-friendly and a cost-effective alternative to the chemical synthesis processes. Although the biological mechanisms of biogenic Me-nanomaterial (Bio-Me-nanomaterials) production are not yet completely elucidated, a key advantage of such bio-nanostructures over those chemically synthesized is related to their natural thermodynamic stability, with several studies ascribed to the presence of an organic layer surrounding these Bio-Me-nanostructures. Different macromolecules (e.g. proteins, peptides, lipids, DNA, and polysaccharides) or secondary metabolites (e.g. flavonoids, terpenoids, glycosides, organic acids, and alkaloids) naturally produced by organisms have been indicated as main contributors to the stabilization of Bio-Me-nanostructures. Nevertheless, the chemical–physical mechanisms behind the ability of these molecules in providing stability to Bio-Me-nanomaterials are unknown. In this context, transposing the stabilization theory of chemically synthesized Me-nanomaterials (Ch-Me-nanomaterials) to biogenic materials can be used towards a better comprehension of macromolecules and secondary metabolites role as stabilizing agents of Bio-Me-nanomaterials. According to this theory, nanomaterials are generally featured by high thermodynamic instability in suspension, due to their high surface area and surface energy. This feature leads to the necessity to stabilize chemical nanostructures, even during or directly after their synthesis, through the development of (i) electrostatic, (ii) steric, or (iii) electrosteric interactions occurring between molecules and nanomaterials in suspension. Based on these three mechanisms, this review is focused on parallels between the stabilization of biogenic or chemical nanomaterials, suggesting which chemical–physical mechanisms may be involved in the natural stability of Bio-Me-nanomaterials. As a result, macromolecules such as DNA, polyphosphates and proteins may electrostatically interact with Bio-Me-nanomaterials in suspension through their charged moieties, showing the same properties of counterions in Ch-Me-nanostructure suspensions. Since several biomolecules (e.g. neutral lipids, nonionic biosurfactants, polysaccharides, and secondary metabolites) produced by metal(loid)-grown organisms can develop similar steric hindrance as compared to nonionic amphiphilic surfactants and block co-polymers generally used to sterically stabilize Ch-Me-nanomaterials. These biomolecules, most likely, are involved in the development of steric stabilization, because of their bulky structures. Finally, charged lipids and polysaccharides, ionic biosurfactants or proteins with amphiphilic properties can exert a dual effect (i.e. electrostatic and steric repulsion interactions) in the contest of Bio-Me-nanomaterials, leading to the high degree of stability observed.
A Plasma Metabolomic Signature of the Exfoliation Syndrome Involves Amino Acids, Acylcarnitines, and Polyamines.

Purpose To determine the plasma metabolomic signature of the exfoliative syndrome (XFS), the most common cause worldwide of secondary open-angle glaucoma. Methods We performed a targeted metabolomic study, using the standardized p180 Biocrates Absolute IDQ p180 kit with a QTRAP 5500 mass spectrometer, to compare the metabolomic profiles of plasma from individuals with XFS (n = 16), and an age- and sex-matched control group with cataract (n = 18). Results A total of 151 metabolites were detected correctly, 16 of which allowed for construction of an OPLS-DA model with a good predictive capability (Q2cum = 0.51) associated with a low risk of over-fitting (permQ2 = -0.48, CV-ANOVA P-value <0.001). The metabolites contributing the most to the signature were octanoyl-carnitine (C8) and decanoyl-carnitine (C10), the branched-chain amino acids (i.e., isoleucine, leucine, and valine), and tyrosine, all of which were at higher concentrations in the XFS group, whereas spermine and spermidine, together with their precursor acetyl-ornithine, were at lower concentrations than in the control group. Conclusions We identified a significant metabolomic signature in the plasma of individuals with XFS. Paradoxically, this signature, characterized by lower concentrations of the neuroprotective spermine and spermidine polyamines than in controls, partially overlaps the plasma metabolomic profile associated with insulin resistance, despite the absence of evidence of insulin resistance in XFS.
Optical imaging of gastric cancer with near-infrared heptamethine carbocyanine fluorescence dyes

Near-infrared fluorescence (NIRF) imaging agents are promising tools for noninvasive cancer imaging. Here, we explored the tumor-specific targeting ability of NIRF heptamethine carbocyanine MHI-148 dye in cultured gastric cancer cells, gastric cancer cell-derived and patient-derived tumor xenograft (PDX) models. We show that the NIRF dye specifically accumulated in tumor regions of both xenograft models, suggesting the potential utility of the dye for tumor-specific imaging and targeting in gastric cancer. We also demonstrated significant correlations between NIRF signal intensity and tumor volume in PDX models. Mechanistically, the higher cellular uptake of MHI-148 in gastric cancer cells than in normal cells was stimulated by hypoxia and activation of a group of organic anion-transporting polypeptide (OATP) genes. Importantly, this NIRF dye was not retained in inflammatory stomach tissues induced by gastric ulcer in mice. In addition, fresh clinical gastric tumor specimens, when perfused with NIR dye, exhibited increased uptake of NIR dye in situ. Together, these results show the possibility of using NIRF dyes as novel candidate agents for clinical imaging and detection of gastric cancer.
The Hiero Machine Translation System: Extensions, Evaluation, and Analysis

Hierarchical organization is a well known property of language, and yet the notion of hierarchical structure has been largely absent from the best performing machine translation systems in recent community-wide evaluations. In this paper, we discuss a new hierarchical phrase-based statistical machine translation system (Chiang, 2005), presenting recent extensions to the original proposal, new evaluation results in a community-wide evaluation, and a novel technique for fine-grained comparative analysis of MT systems.
Towards Minimal Necessary Data: The Case for Analyzing Training Data Requirements of Recommender Algorithms

This paper states the case for the principle of minimal necessary data: If two recommender algorithms achieve the same effectiveness, the better algorithm is the one that requires less user data. Applying this principle involves carrying out training data requirements analysis, which we argue should be adopted as best practice for the development and evaluation of recommender algorithms. We take the position that responsible recommendation is recommendation that serves the people whose data it uses. To minimize the imposition on users’ privacy, it is important that a recommender system does not collect or store more user information than it absolutely needs. Further, algorithms using minimal necessary data reduce training time and address the cold start problem. To illustrate the trade-off between training data volume and accuracy, we carry out a set of classic recommender system experiments. We conclude that consistently applying training data requirements analysis would represent a relatively small change in researchers’ current practices, but a large step towards more responsible recommender systems.
Ultrasonically Assisted Synthesis of Tin Sulfide Nanorods at Room Temperature

A simple ultrasonic method was developed to synthesize rod-like SnS nanocrystals, using tin chloride and thioacetamide as starting materials, ethanolamine and water as solvents. The as-obtained nanostructures were characterized by X-ray diffraction (XRD) study, energy-dispersive X-ray spectroscopy (EDS), transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS) and Ultraviolet-visible spectrophotometry (UV). From the XRD pattern, the reflection peaks of the as-obtained samples can be indexed to the orthorhombic structure with lattice constants a = 3.99, b = 4.34, c = 11.20 Å , which are very consistent with the values in the standard card of SnS phase (JCPDS No. 39-0354). No characteristic peak was observed for other impurities such as SnO2 and SnS2, implying the formation of single-phase tin monosulfide. The quantification calculation shows the ratio of Sn/S to be 51.30/48.70 via the EDS analysis. These data clearly indicate that the as-prepared rod-like nanostructures are exactly SnS. TEM results show that, the SnS nanorods have length about 100nm and width less than 30nm. The direct and indirect band gaps of the SnS nanorods are determined to be 1.53 eV and 1.34 eV, respectively. The band gaps of the as-obtained SnS nanorods showed blue shifts due to the quantum size effects. The ultrasonic condition is believed to be critical for the formation of SnS with pure phase. For it provides the energy to form rod-like nanostructures and helps preventing the hydrolysis of Sn2+ to form tin oxides and hydrates. Also, it prevents oxidation of the final products.
Real-time simulation of CDSM modular multilevel converter for HIL test applications

Recently, a few modular multilevel converter (MMC) projects were commissioned around the world. In some planning projects, the DC links are overhead lines, therefore the DC fault current limitation capability becomes a concern. The MMC using clamp double submodule (CDSM) topology can naturally limit the DC fault current and is a good option for those projects. From experience with previous projects, the real time hardware-in-the-loop (HIL) test bench played an important role in validating the manufacturer's controllers. Since the CDSM has more complicated topology than the half-bridge (HB) or full-bridge (FB) submodule (SM), previously no MMC CDSM model is available for HIL test benches. This paper presents an equivalent circuit method to model and simulate CDSM MMC systems with sufficient detail, accuracy, speed, and I/O connectivity that satisfies the HIL test requirements. The MMC valves in the main circuit are replaced by the simple equivalent circuit and the SM are implemented and solved in field-programmable gate array (FPGA) or multiple CPU in parallel. The model can simulate very large CDSM systems in real time speed. The results of a demo CDSM MMC system are provided in the paper. The test bench based on this method has been provided to some MMC controller manufacturers for their study and tests.
Sodium-Dependent Phosphate Transporters in Osteoclast Differentiation and Function

Osteoclasts are multinucleated bone degrading cells. Phosphate is an important constituent of mineralized bone and released in significant quantities during bone resorption. Molecular contributors to phosphate transport during the resorptive activity of osteoclasts have been controversially discussed. This study aimed at deciphering the role of sodium-dependent phosphate transporters during osteoclast differentiation and bone resorption. Our studies reveal RANKL-induced differential expression of sodium-dependent phosphate transport protein IIa (NaPi-IIa) transcript and protein during osteoclast development, but no expression of the closely related NaPi-IIb and NaPi-IIc SLC34 family isoforms. In vitro studies employing NaPi-IIa-deficient osteoclast precursors and mature osteoclasts reveal that NaPi-IIa is dispensable for bone resorption and osteoclast differentiation. These results are supported by the analysis of structural bone parameters by high-resolution microcomputed tomography that yielded no differences between adult NaPi-IIa WT and KO mice. By contrast, both type III sodium-dependent phosphate transporters Pit-1 and Pit-2 were abundantly expressed throughout osteoclast differentiation, indicating that they are the relevant sodium-dependent phosphate transporters in osteoclasts and osteoclast precursors. We conclude that phosphate transporters of the SLC34 family have no role in osteoclast differentiation and function and propose that Pit-dependent phosphate transport could be pivotal for bone resorption and should be addressed in further studies.