Miracle-dz/UniFAR-FTUs huggingface dataset:
D ISSIPATIVE S YM ODEN: E NCODING H AMILTONIAN D YNAMICS WITH D ISSIPATION AND C ONTROL INTO D EEP L EARNING

In this work, we introduce Dissipative SymODEN , a deep learning architecture which can infer the dynamics of a physical system with dissipation from observed state trajectories. To improve prediction accuracy while reducing network size, Dissipative SymODEN encodes the port-Hamiltonian dynamics with energy dissipation and external input into the design of its computation graph and learns the dynamics in a structured way. The learned model, by revealing key aspects of the system, such as the inertia, dissipation, and potential energy, paves the way for energy-based controllers. is aligned with the underlying physics, we achieve transparency, better predictions with smaller networks, and improved generalization. The architecture of Dissipative SymODEN has also been designed to accommodate angle data in the embedded form. Additionally, we use differentiable ODE solvers to avoid the need for derivative estimation.
Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI

In recent years, deep learning-based feature representation methods have shown a promising impact on electroencephalography (EEG)-based brain–computer interface (BCI). Nonetheless, owing to high intra- and inter-subject variabilities, many studies on decoding EEG were designed in a subject-specific manner by using calibration samples, with no concern of its practical use, hampered by time-consuming steps and a large data requirement. To this end, recent studies adopted a transfer learning strategy, especially domain adaptation techniques. Among those, we have witnessed the potential of adversarial learning-based transfer learning in BCIs. In the meantime, it is known that adversarial learning-based domain adaptation methods are prone to negative transfer that disrupts learning generalized feature representations, applicable to diverse domains, for example, subjects or sessions in BCIs. In this article, we propose a novel framework that learns class-relevant and subject-invariant feature representations in an information-theoretic manner, without using adversarial learning. To be specific, we devise two operational components in a deep network that explicitly estimate mutual information between feature representations: 1) to decompose features in an intermediate layer into class-relevant and class-irrelevant ones and 2) to enrich class-discriminative feature representation. On two large EEG datasets, we validated the effectiveness of our proposed framework by comparing with several comparative methods in performance. Furthermore, we conducted rigorous analyses by performing an ablation study in regard to the components in our network, explaining our model’s decision on input EEG signals via layer-wise relevance propagation, and visualizing the distribution of learned features via t-SNE.
Existence of life in 2 
+
 1 dimensions

There are anthropic reasons to suspect that life in more than three spatial dimensions is not possible, and if the same could be said of fewer than three, then one would have an anthropic argument for why we experience precisely three large spatial dimensions. There are two main arguments levelled against the possibility of life in 2 + 1 dimensions: the lack of a local gravitational force and Newtonian limit in 3D general relativity, and the claim that the restriction to a planar topology means that the possibilities are 'too simple' for life to exist. I will examine these arguments and show how a purely scalar theory of gravity may evade the first one, before considering certain families of planar graphs which share properties which are observed in real-life biological neural networks and are argued to be important for their functioning.
A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent

This article is concerned with minimizing the average of $n$ cost functions over a network, in which agents may communicate and exchange information with each other. We consider the setting where only noisy gradient information is available. To solve the problem, we study the distributed stochastic gradient descent (DSGD) method and perform a nonasymptotic convergence analysis. For strongly convex and smooth objective functions, in expectation, DSGD asymptotically achieves the optimal network-independent convergence rate compared to centralized stochastic gradient descent. Our main contribution is to characterize the transient time needed for DSGD to approach the asymptotic convergence rate. Moreover, we construct a “hard” optimization problem that proves the sharpness of the obtained result. Numerical experiments demonstrate the tightness of the theoretical results.
Are narcissists more creative? Only if we believe it: How narcissism can relate to creativity

The relationship between narcissism and creativity has inspired interesting debates for decades. Drawing on a new perspective, the current study tried to explain how narcissism influences others’ creativity evaluation in the organizational context. Based on the theory of impression management, we suggested that narcissism and creativity may have a more complex relationship rather than a simple linear link. To test this relationship, we conducted a survey of 596 subordinates and 60 leaders in three high-technology companies. The result showed that there was an inverted U-shaped relationship between narcissism and creativity evaluation. Moreover, personal reputation mediated this curvilinear relationship and this relationship was significant only when narcissists were low in political skill. Theoretical and practical implications, limitations and future directions have also been discussed.
Specific fungi associated with response to capsulized fecal microbiota transplantation in patients with active ulcerative colitis

Objective Fecal microbiota transplantation (FMT) is a novel microbial treatment for patients with ulcerative colitis (UC). In this study, we performed a clinical trial of capsulized FMT in UC patients to determine the association between the gut fungal community and capsulized FMT outcomes. Design This study recruited patients with active UC (N = 22) and healthy individuals (donor, N = 9) according to the criteria. The patients received capsulized FMT three times a week. Patient stool samples were collected before (week 0) and after FMT follow-up visits at weeks 1, 4, and 12. Fungal communities were analysed using shotgun metagenomic sequencing. Results According to metagenomic analysis, fungal community evenness index was greater in samples collected from patients, and the overall fungal community was clustered among the samples collected from donors. The dominant fungi in fecal samples collected from donors and patients were Ascomycota and Basidiomycota. However, capsulized FMT ameliorated microbial fungal diversity and altered fungal composition, based on metagenomic analysis of fecal samples collected before and during follow-up visits after capsulized FMT. Fungal diversity decreased in samples collected from patients who achieved remission after capsulized FMT, similar to samples collected from donors. Patients achieving remission after capsulized FMT had specific enrichment of Kazachstania naganishii, Pyricularia grisea, Lachancea thermotolerans, and Schizosaccharomyces pombe compared with patients who did not achieve remission. In addition, the relative abundance of P. grisea was higher in remission fecal samples during the follow-up visit. Meanwhile, decreased levels of pathobionts, such as Candida and Debaryomyces hansenii, were associated with remission in patients receiving capsulized FMT. Conclusion In the metagenomic analysis of fecal samples from donors and patients with UC receiving capsulized FMT, shifts in gut fungal diversity and composition were associated with capsulized FMT and validated in patients with active UC. We also identified the specific fungi associated with the induction of remission. ClinicalTrails.gov (NCT03426683).
Are adrenergic α1- antagonists beneficial for the access of retrograde ureteral access sheath or semi-rigid ureteroscope access? A systematic review and meta-analysis

Introduction To evaluate the clinical benefit of preoperative adrenergic α1-antagonist therapy in the management of upper urinary calculi. Materials and methods Publications were searched for The Cochrane Central Register of Controlled Trials, EMBASE, and MEDLINE until 1 March 2022 that related to the adrenergic α1- antagonist intake as adjunctive therapy before retrograde surgery. Dichotomous data were reported with risk ratios (RR) with 95% confidence intervals (CIs) and the continuous data were reported with mean difference (MD) with 95% CIs Results There were nine studies with 867 patients included in this meta-analysis. Preoperative adrenergic α1- antagonists could significantly elevate the compared with the placebo. Higher successful access rate to the stone was found in patients who received preoperative adrenergic α1- antagonists than those who received the placebo (RR 1.24; 95% CI 1.17–1.33). Besides, the application of preoperative adrenergic α1- antagonists can also elevate 4th-week stone-free rate (RR 1.20; 95% CI 1.12–1.28), decrease postoperative analgesia (RR 0.30;95% CI 0.20–0.46) and result in a lower risk of overall complications (RR 0.38; 95% CI 0.24–0.61). Conclusion Preoperative adjunctive adrenergic α1- antagonist therapy is effective and safe in the management of retrograde surgery with a higher successful access rate and lower risk of severe complications.
Ruxolitinib does not completely abrogate the functional capabilities of TLR4/9 ligand-activated NK cells

Introduction Natural killer (NK) cells are lymphocytes from the innate immune system part of the first defense barrier against infected and transformed cells, representing 5%-15% of peripheral blood lymphocytes. The cytotoxic capacity of NK cells is controlled by a balance between inhibitory and activating NK receptors expressed on their surface, which recognize and interact with the ligands on stressed cells. The cytokines involved in NK cell activation, proliferation, survival, and cytotoxicity are signaled mainly through the Janus kinase and signal transducer and activator of transcription proteins (JAK/STAT) pathway. NK cells are also activated in response to pathogens through Toll-like receptors (TLRs) expressed on their surface. Ruxolitinib is a specific JAK1/2 inhibitor approved for treating myelofibrosis and for steroid-refractory acute and chronic graft-versus-host disease (SR-GvHD). Methods Purified NK cells from healthy donors were stimulated with two TOLL-like receptor ligands, LPS and CpG, in the presence of different concentrations of Ruxolitinib. Results This study showed the effects of ruxolitinib on TLR4 and TLR9 ligand-activated NK cells from healthy donors. Ruxolitinib did not completely inhibit STAT3 phosphorylation and had a moderate effect on NK cell cytokine activation via the TLR pathway. Only the highest doses of ruxolitinib led to a decrease in the pro-inflammatory cytokines tumor necrosis factor α, interferon-γ, interleukin-6, and interleukin-1β. The cytotoxic capacity of stimulated NK cells versus K562, SEM, and MV-4-11 cell lines was reduced by increasing doses of ruxolitinib, but it was not completely abolished and we observed no major changes in degranulation capacity. Phenotypic changes were observed in activated NK cells in the presence of ruxolitinib. In a small cohort of pediatric patients treated with ruxolitinib for SR-GvHD, we observed no decrease in NK cell counts; however, further prospective studies with larger cohorts are necessary to confirm this finding. Discussion In summary, our results showed that the functional capabilities and phenotype of NK cells activated through TLR4/9 agonists were not completely abolished by the inhibition of the JAK-STAT pathway by ruxolitinib.
Pengaruh Mekanisme Good Corporate Governance Terhadap Manajemen Laba Pada Perusahaan Food And Beverage Yang Terdaftar DI Bursa Efek Indonesia (bei) Periode 2012-2015

The purpose of this study is to examine the influence of good corporate governance mechanism with external auditor fees on all companies listed on Bursa Efek Indonesa (BEI) during 2009-2013. Good corporate governance mechanisms in this study consisted of the independent commissioners, the board of commissioners, the board of commissioner meetings, audit committee, audit committee meetings and internal auditor. Collecting data is using purposive sampling method to all companies listed in Bursa Efek Indonesia (BEI) during 2009-2013. A total of 76 companies were utilised as sample in this research. Before being conducted the regression test, it is examined by using the classical assumption tests. This study uses multiple linear regression model as the analysis instrument. It was shown that the number of independent commisioners, the size from board of commissioners, the size of audit committee, and internal auditor have a significant influence with external auditor fees. However, the meeting of the board commissioners and the meeting of audit committee do not have significant influence with external auditor fees.
The Analysis of Good Corporate Governance, Corporate Social Responsibility and, Firm Size Toward Firm Value

This research aims to analyze the effect of good corporate governance, corporate social responsibility, and the firm size towards the firm value. The population was banking firms listed in Indonesia Stock Exchange period 2015-2018. Samples used were 28 firms. The analysis method used multiple linear regression. The research results show that managerial ownership does not have effect towards the firm value. Institutional ownership and firm size have positive effect towards the firm value. Corporate social responsibility has negative effect towards the company value.
Model biznesu a aktywność innowacyjna przedsiębiorstw w perspektywie relacji międzyorganizacyjnych

is seen as having the possibility of establishing inter-organizational relationships, which support the creation and the capture of Combining both of these perspec-tives, one can diagnose the impact of inter-organizational relationships (supporting the individual components of the business model), on the innovative activity of enterprises. Studies indicate the existence of a positive relationship between the diversification of relationship partners and innovative activity. The diversification of relationship partners supports the basic components of the business model, i.e. it creates value for the customer, and captures it for the company. Meanwhile, innovative activity is assessed by the number of new products introduced or significantly improved.
Identification of the statutory retirement dates in the Sample of Integrated Labour Market Biographies (SIAB)

"We analyse how administrative data on the labour history of individuals can be used to identify financial incentives within the pension system, even though these data do not include information on pension-relevant periods. We apply the Sample of Integrated Labour Market Biographies (SIAB 7514). The data consist of a two percent sample of the population of the Integrated Employment Biographies from 1975 to 2014 and are provided by the German Federal Employment Agency. We present a method for identifying the pensionable periods for old age pensions. In addition to birth date and gender, we show how to identify the qualification periods to determine whether an individual is eligible for one of the old age pension types (standard old age pension, old age pension for women, old age pension for the unemployed or under a progressive retirement plan, old age pension for persons with a long insurance record). Eligibility for a pension type then determines the earliest statutory retirement dates (normal retirement age (NRA) and early retirement age (ERA)). The knowledge about eligibility for a pension type enables us to compare the actual labour market exit age with the NRA and ERA for each birth cohort from 1936 to 1948 and to calculate the proportions of employees for the different paths out of the labour market. First, we explain the information that is necessary to identify the statutory retirement dates. We cannot identify periods of illness, inability to work, maternity, parenting, caregiving on a non-commercial basis or voluntary insurance payments from the SIAB. To assess the accuracy of pensionable periods calculated using the SIAB, we therefore use a high-quality administrative biographical dataset (Biographical Data of Selected Insurance Agencies in Germany (BASiD 5109)) that combines information on individual employment biographies (including qualification periods) with retirement information from the statutory retirement insurance records. We use the BASiD to collect information on employment states and other relevant variables that are not available in the SIAB. Moreover, we show that we can reduce the errors in identifying the relevant eligibility criteria for old age pension types to a negligible amount when we restrict our sample to employees with a high labour market attachment and short gaps in their labour market histories. We argue that the employees in our reduced sample are the employees of interest for analysing the impact of the financial incentives of the pension system on the labour market behaviour of older employees. Only these employees have a real choice of whether to work another year or to retire. We conclude that we can reliably identify individual statutory retirement dates in conventional individual labour market history datasets that do not directly contain retirement information. The additional information we generate makes these data sets a valuable alternative for the analysis of the labour market behaviour of older employees. " (Author's abstract, IAB-Doku) ((en))
CHANGES IN HUMAN CAPITAL RESOURCES IN THE LABOUR MARKET IN POLAND FROM THE PERSPECTIVE OF THE EUROPEAN UNION AND OTHER COUNTRIES

The theoretical part of the paper presents conclusions from the literature review. The empirical part of the paper includes findings of the research carried out by the authors. Amending the human capital definition, based on the new approach from the perspective of equal opportunities, mainly for women, was the main aim and added value of the paper. Based on the previous research, authors hypothesized that the equality of opportunities in the labour market, social life, education and public life generates economic benefits, while the lack of such equality causes losses. To prove that the equality of opportunities enhances the value of human capital, the authors carried out their own research and referred to the findings of other empirical studies, data from the Central Statistical Office, Eurostat and expert opinions from such institutions as the European Institute for Equality of Women and Men in Vilnius (EIGE) and the World Economic Forum, OECD.
Environmental Concern and Government Regulations Roles in Influencing Ecologically Conscious Consumer Behaviour

Environmental concerns have increased dramatically in recent decades. Individuals have become more concerned with their purchasing behaviour and the impact on the environment. As a result, marketers tend to be more committed in responding to the needs and desires of these individuals in a more responsible manner, considering possible environmental damages that may occur. This study pursued to establish the relationship between young consumers and ecologically conscious consumer behaviour (ECCB) by analysing their green environmental concerns (EC) and government regulations (GR) variables. The scope of the study was UiTM’s students ages between 18 to 30 years old pursuing their undergraduate studies. The Statistical Package for the Social Sciences (SPSS) version 23 is applied to study the hypotheses. The results from the linear multiple regression analysis indicated that both EC and GR had a positive relationship on ECCB. Moreover, the overall results have confirmed that the government regulations have a strong direct influence on ecologically conscious consumer behaviour. Thus, the findings could offer important young consumers’ perceptions and views on environmental sustainability.
Evaluating clients’ satisfaction with National Health Insurance Scheme in Jigawa State, Nigeria

Background: Health insurance scheme have been introduced with the aim of providing health insurance and making health services accessible and affordable to the average citizen in the country. Our objective is to evaluate clients’ satisfaction with National Health Insurance Scheme in Jigawa State, Nigeria. Method: This study used a mixed method (both qualitative and quantitative designs) approach and was conducted between May 2016 and September 2017. Three hundred and twentyone (321) enrollees filled questionnaires while 8 participated in face to face interview. The questionnaires were analysed using Statistical Package for Social Science (SPSS) and descriptive statistics was used to summarize the quantitative data using means, proportions and frequencies. Qualitative data were analyzed using themes. Results: The overall satisfaction score of the respondents was 80.6%). Specifically expressed satisfaction with the associated services (e.g. lab, radiology, pharmacy) (92.2%), agreed to have easy access to the medical specialist (77.9%), agreed to get prescribed drugs in the hospital (74.1%), agreed that the amount they pay during each visit before they got drug is reasonable (85.7%), satisfied with surgical procedure under NHIS (69.8%), satisfied with the referral arrangement (77%), satisfied with the overall NHIS services in this hospital (87.3%). Conclusion: More than three quarter (80.6%) of the clients are satisfied with healthcare services provided under NHIS in the hospital. Recommendations: NHIS scheme can be improved by 24 hours availability of designated doctors for NHIS clients, regular supply of drugs and by reducing waiting time.
Distracted mind: the effects of multitasking and mind wandering on consumer memory for ad content

Abstract People frequently do not pay full attention to advertising messages to which they are exposed. While external distraction such as active avoidance (e.g., multitasking while ads play) or background noise have been identified as causes, in many situations, consumers may also be distracted by an internal cause- mind wandering. While external distractions are thought to lead to worse ad outcomes, this research examines the potential benefits of multiple tasks (multitasking) in the context of mind wandering and how they affect memory for ad content. Through a series of three experiments, we show that even when no external alternative activity is occurring, memory for ad content may still be negatively impact by the increased presence of mind wandering. However, multitasking with a low-level perceptual task can actually increase memory about ads while decreasing mind wandering.
Effect of Corporate Social Responsibility on Enterprise Value of Deposit Money Bank in Nigeria

This study sought to determine the effect of Corporate Social Responsibility (CSR) (i.e., Environmental Expenditure (EE), Community Expenditure (CE), and Employee Expenditure (EmE) on Enterprise Value (EV), with particular reference to quoted deposit money banks in Nigeria. The study adopted the correlational design, and a population of 21 banks was considered. Out of this population, 15 banks were sampled through the purposive method. Panel regression was used to analyze the data, which were collected from annual financial reports of the sampled banks. The results of the analysis indicated that, overall, CSR’s effect on enterprise value is statistically significant; meaning that corporate social responsibility expenditure has significant effect or association with enterprise value (i.e., EV). The study recommended that banks in Nigeria should maintain, and possibly increase their CSR expenditure rather than looking to reduce or even eliminate it as they seek to cut down on their business cost. This is because of the likely negative effect it might have on their business in the long run as documented by the outcome of this study.