Miracle-dz/UniFAR-FTUs huggingface dataset:
Nomogram for Persistent Post-Stroke Depression and Decision Curve Analysis

Purpose Previous studies have shown that persistent post-stroke depression (PSD) was associated with unfavorable prognosis. The aim of this multicenter prospective study was to investigate the predictors associated with persistent PSD, develop a nomogram and validate its clinical usefulness by decision curve analysis (DCA). Patients and Methods A total of 875 acute ischemic stroke patients from four hospitals were consecutively recruited and completed 1-year follow-ups. Sociodemographic indicators, vascular risk factors, clinical information, serum biochemical indicators and cytokines were collected on admission. The functional outcome was assessed at 1 year after stroke. Persistent depression was defined as having a presentation of depression at each follow-up points and the depressive symptoms occurring persistently since the diagnosis of depression. Results There were 513 patients who experienced PSD during the 1-year follow-up, the cumulative incidence of PSD within 1 year was 58.6%. Persistent PSD was recorded in 289 patients, of which 59 (20.4%) result in unfavorable outcomes. The risk factors of persistent PSD in 1 year after stroke were the Hamilton Depression Scale-17 items (HAMD-17) score at admission, serum direct bilirubin and free serum thyroxine (FT4) level and activated partial thromboplastin time (APTT). Nomogram conducted based on these factors has a C-index (± standard deviation) of 0.655 ± 0.039, and the DCA demonstrated that the nomogram had a favorable clinical utility. Conclusion We found that persistent depression after stroke in the first-year time course after stroke was associated with HAMD-17 score at admission, lower serum direct bilirubin and FT4 level, and APTT. A nomogram was developed with advisable clinical usefulness in our study.
Non-bank lenders in the syndicated loan market 1 Non-bank lending is pervasive but less diversified than bank lending carry higher spreads, but are of similar amount and maturity The flight home effect among non-bank lenders

Non-bank lenders are an important source of syndicated credit to non-financial corporates in most regions and industries. Their loan origination, however, is more concentrated by location and sector than that of banks and it is also more volatile. Syndicated loans arranged by non-banks carry a significantly higher spread relative to those by banks, consistent with the pattern that firms borrowing from non-banks are more leveraged and less profitable, ie riskier. Non-banks generally grant a smaller share of their new loans to foreign borrowers than banks do. During domestic financial crises, they reduce this share further, exacerbating the global transmission of shocks. with “corporate purposes” and “debt repayment” dominating for both banks and non-banks.  Prior to the classification, we drop incomplete deals and those involving government-linked lenders. In particular, we drop deals with the status “cancelled”, “suspended” or “rumour”, and deals with missing information on amounts and loan packages that amend previous deals. We further drop deals involving supranational organisations, governments and development banks based on string matches and codes. In cases where only the aggregate size of the loan is known or for loan facilities with lending shares totalling more than 110%, participant using rata  instance, brokers, dealers, companies”), classified commercial DealScan, group. in line Board (2021))  In this box, we investigate the flight home effect (FHE) among non-banks. The FHE refers to the finding in Giannetti and Laeven (2012) that, during financial crises in their home country, lead arranger banks cut lending to foreign borrowers by more than they did to domestic borrowers. Giannetti and Laeven also find that the effect is driven by banks that are more exposed to riskier borrowers and with more volatile funding. Following the methodology in Giannetti and Laeven, we estimate regressions at the lender parent-borrower country-quarter level. We do so separately for bank and non-bank lead  In unreported regressions, we find that the existence of a stronger flight home effect for non-banks is also robust to the exclusion of the euro zone crisis, as well as the exclusion of different regions and countries that are home to a significant number of non-bank lenders (eg Japan, the
Opleiding Informatica &Economie Automated Rotational and Localised Symmetry Detection from Global Reﬂection Symmetries from 2d Images

Automated symmetry detection is still a diﬃcult task in 2021. However, it has applications in computer vision, and it also plays a large part in understanding art. This thesis will focus on aiding the latter by comparing diﬀerent state-of-the-art automated symmetry detection algorithms. Furthermore, we propose post-processing improvements to an algorithm to ﬁnd more localised symmetries in images, improve the selection of detected symmetries and detect rotational symmetries. In order to detect rotational symmetries, we contribute a machine learning model which detects rotational symmetries based on provided reﬂection symmetry axis pairs. We conclude that we have successfully extended an algorithm meant to detect global reﬂection symmetries to detect localised symmetries and rotational symmetries. Some detection methods did not perform well on our data set.
Polyphenol content and antioxidant activity of phytoestrogen containing food and dietary supplements: DPPH free radical scavenging activity by HPLC

Abstract Soy, red clover, chaste tree, hop and flax have all been found to contain a wide range of phytoestrogenic compounds, and a large number of dietary supplements contain their extracts as principal ingredients. This study is aimed to evaluate the total polyphenolic content and antioxidant activity of phytoestrogen-containing food and formulated dietary supplements. The HPLC-DPPH method was applied for DPPH free radical scavenging activity testing of various phytoestrogen-containing samples. Polyphenol content and antioxidant activity in dietary supplements were higher than in functional food samples; multiple-botanical-source preparations showed higher polyphenol content and antioxidant activity than the mono-botanical counterparts. Furthermore, the correlation between polyphenol content and anti-oxidant activity was strongly statistically significant, so it might be concluded that antioxidant activity is proportional to the content of these secondary metabolites. The most striking batch-to-batch deviations were represented by one chaste berry-based product (RSD 41.3 %) and one red clover derived product (RSD 57.9 %). The results of this study contribute to a better understanding of the phenolic profile and antioxidant properties of phytoestrogen containing food and dietary supplements.
A clash of cultures: The governance and valuation effects of corporate cultural distance

We find that the cultural distance between the CEO and a firm’s directors increases the sensitivity of CEO turnover and compensation to performance while enhancing shareholder value. This effect is concentrated in the cultural distance between the CEO and independent directors. More culturally distant CEOs adopt less risky financial and operating policies. To establish causality, we use the sudden exit of directors as a source of exogenous change in cultural distance. Overall, our results suggest that cultural distance increases information collection costs. This causes the board to monitor with increased rigor and to rely on “hard” information to assess CEO performance. our model specifications. With both approaches, our main results remain qualitatively identical.
Opleiding Informatica Sim-to-Real autonomous driving in CARLA using Image Translation and Deep Deterministic Policy Gradient

Reinforcement learning is a relatively new approach to train an agent to drive on public roads. Training an autonomous driving agent in a live environment unfortunately is challenging, since this would by deﬁnition involve making mistakes on public roads and potentially causing accidents. An option is to train the agent in a simulation, but this introduces challenges of its own, notably the simulation-to-reality gap. This project proposes a framework for training autonomous driving agents consisting of the CARLA urban driving simulator, Deep Deterministic Policy Gradient algorithm and image translation, with the goal of training an agent in a simulation while simultaneously reducing this sim-to-real gap. In this framework, the frames rendered by the simulator are translated to look more similar to real-world images while preserving the important features. We train two model variations: one where conventional convolutional layers are used for feature extraction, and one where the InceptionV3 [1] neural network is used. By measuring the accuracy of these models on a real-life driving dataset, the performance of the models trained on this framework with image translation will be compared to the performance of identical models that were trained without image translation. The accuracy of our model will also be compared to the accuracy of models created in earlier works, which were trained using the Asynchronous Advantage Actor Critic algorithm [2] and the TORCS driving simulator [3]. Preliminary results show that the image translation models return useful images that retain the overall structure of the virtual image. While the driving models as they were trained in this paper have not developed particularly useful policies, the models instantiated with InceptionV3 [1] do show some potential and could be a good starting point for further research.
Transcription Factor c-Maf Promotes Immunoregulation of Programmed Cell Death 1–Expressed CD8+ T Cells in Multiple Sclerosis

Background and Objectives Multiple sclerosis (MS) is an inflammatory demyelinating disease of the CNS. CD8+ T cells are prominently found at inflammatory sites. Recent advances in understanding checkpoint molecules, including programmed cell death 1 (PD-1), expressed on CD8+ T cells, highlight the immune regulatory roles of this T-cell subset; however, the role of CD8+ T cells in MS is unclear. Thus, we aimed to reveal the characteristics of PD-1–expressed (PD-1+) CD8+ T cells in MS. Methods We performed a cohort, case-control study for phenotyping analysis of PD-1+CD8+ T cells in disease remission and flare states using CSF and peripheral blood samples of 45 patients with MS or clinically isolated syndrome and 12 healthy subjects. We further analyzed the transcriptome of sorted PD-1+CD8+ T cells obtained from interferon (IFN)-β–treated patients and validated their regulatory machinery using in vitro cell culture assays with lentiviral gene transfer. Results In the disease remission state, PD-1+CD8+ T cells were decreased in the peripheral blood of patients with MS and resolved in patients treated with IFN-β treatment who showed immune regulatory cytokine interleukin (IL)-10 expression. In the disease flare state, we found that PD-1+CD8+ T cells were enriched in the CSF, which predicted a good response to subsequent IV steroid therapy. Transcriptome analysis of sorted PD-1+CD8+ T cells revealed the transcription factor c-Maf as a potential major regulator of the gene module, including multiple coinhibitory molecules. Furthermore, c-Maf expressed in CD8+ T cells induced PD-1 expression and production of IL-10 as well as suppressed alloactivated CD4+ T-cell survival. Discussion This study uncovered a favorable role of PD-1+CD8+ T cells against MS and demonstrated that c-Maf–driven IL-10 is an immune regulatory machinery.
The Effect of Xiaohongshu Service Quality on the Stickiness Through the Emotional Responses of Users of on the Through the

Xiaohongshu is called China's Instagram and is leading overseas product purchases and culture sharing. The purpose of this study is to investigate the structural relationship between Xiaohongshu service quality, emotional response perceived by users, and adhesion to confirm the impact on Xiaohongshu's adhesion at a time when non-face-to-face activities due to COVID-19 have increased. This study distributed and collected questionnaires from October 1st to October 7th, 2021, targeting 210 online shopping mall users. The research results were derived from a total of 206 questionnaires, excluding 4 questionnaires such as omission of record contents, and the causal relationship of the existing PAD model was attempted to be reported by revising and supplementing the existing PAD model. As a result of the study, first, it was confirmed that design among service quality had a positive effect only on ventilation during the user's emotional response. Second, it was confirmed that information among service quality had a positive effect on pleasure and ventilation among users' emotional responses. Third, it was found that security among service quality had a positive effect on pleasure among users' emotional responses. Finally, it was found that pleasure and ventilation had a positive effect on adhesion in the user's emotional response. Based on this result, it is expected that it will be used for operation on other online platforms than the plan for the development of Xiaohongshu.
Opleiding Informatica A Network-based Approach for Ship-type Modelling

The maritime transport sector plays a pivotal role in globalisation and economic growth. Within the European Union (EU), member-states collaborate to promote the compliance with adequate ship conduct by inspectorate entities. Depending on ship type, more or less stringent regulations apply. However, due to the number of vessels operating within European waters, these manual inspections cannot be performed on every ship. Our goal is to help bridge the gap between the inspectorate domain and currently available data science techniques. Individual ship compliance can be assessed in terms of the expected behaviour of its type. This allows for the automatic detection of non-standard behaviour, which could alert inspectors to an increased risk. Such alerts can help the inspectors prioritize inspections of ships with an increased perceived risk to maximize the pragmatism of the limited amount of manual inspection. Concretely, we aim to capture the underlying structure of maritime transit in a network. This, in turn, generates new insights into ship behaviour and applications within the inspectorate domain. We do so by modelling ship behaviour in a network-based approach. For this purpose we: (1) generate a network representing ship trajectories within the EU; (2) construct a set of network-based ship features; and (3) model each ship type in a supervised-learning manner based on the constructed features. By achieving adequate AUC performance for ship type models, we validate our approach. Through model analysis, insights such as port relevance towards ship type are attained.
Apparent Metabolizable Energy of Corn and Rice Bran for Philippine Mallard Duck

The metabolizable energy (ME) value of common feedstuffs for Philippine mallard duck (PMD) need to be established to formulate specific and balance diet for PMD. For this, the study was conducted to determine the apparent ME expressed in classical ME (AME) and nitrogen corrected ME (AMEn) of corn and rice bran for PMD. Eight PMD were used in the energy assay using the total collection method. An improvised digestibility cage was fabricated and used in the experiment modifying the basin technique in excreta collection. The homogenous wet mashes of corn and rice bran were tube-fed to the PMD twice with an interval of six hours. Excreta collection was done for 54 hours from the last scheduled tube feeding. Feed and excreta samples were sent to UPLB for protein and gross energy analyses. The experiment was carried out using the Completely Randomized Design. The calculated AME and AMEn of corn and rice bran for PMD were 3.63 and 3.61 kcal/g and 1.97 and 1.95 kcal/g, respectively. Corn tends to have a higher ME value than rice bran. The ME value of corn and rice bran for PMD is greater than the data of PHILSAN, which is the reference standard for poultry and livestock nutrient requirements in the Philippines. The result show that corn and rice bran have higher energetic value for growing PMD than book values for poultry. PMD is efficient in utilizing the energy content of corn and rice bran as manifested by the higher ME value.
Xam˜a : Optical Character Recognition for Multi-domain Model Management

The development of systems following model-driven engineering can include models from different domains. For example, to develop a mechatronic component one might need to combine expertise about mechanics, electronics, and software. Although these models belong to different domains, the changes in one model can affect other models causing inconsistencies in the entire system. Only few tools, however, support management of models from different domains. Indeed, these models are created using different modeling notations and it is not plausible to use a multitude of parsers geared towards each and every modeling notation. Therefore, to ensure maintenance of multi-domain systems, we need a uniform approach that would be independent from the peculiarities of the notation. Notation-independence implies that such a uniform approach can only be based on elements commonly present in models of different domains, i.e., text, boxes, and lines. In this study we investigate the suitability of optical character recognition (OCR) as a basis for such a uniformed approach. We select graphical models from various domains that typically combine textual and graphical elements. We start by analyzing the performance of Google Cloud Vision and Microsoft Cognitive Services, two off-the-shelf OCR services. Google Cloud Vision performed better than Microsoft Cognitive Services being able to detect text of 70% of model elements. Errors made by Google Cloud Vision are due to absence of support for text common in engineering formulas, e.g., Greek letters, equations, and subscripts. We identified the multi-line text error as one of the main issues of using OCR to recognize textual elements in models from different domains. This error happens when OCR misinterprets one textual element as two separate elements. To address the multi-line text error we build Xam˜a on top of Google Cloud Vision. Xam˜a includes two approaches to identify whether the elements are positioned on a single line or multiple lines, and merge those identified as positioned on multiples lines. With and without shape detection Xam˜a correctly identified 956 and 905 elements, respectively, out of 1,171. Additionally, we compared the accuracy of Xam˜a and state-of-the-art tool img2UML, and we observe that Xam˜a outperformed img2UML in both precision and recall, being able to recognize 433 out of 614 textual elements as opposed to 171 by img2UML.
A multi-session attribution modification program for children: Effects on hostile attributions and reactive/proactive aggression A MULTI-SESSION ATTRIBUTION MODIFICATION PROGRAM FOR CHILDREN: EFFECTS ON HOSTILE ATTRIBUTIONS AND REACTIVE/PROACTIVE AGGRESSION

Past research suggests that aggressive individuals are more likely to interpret others’ motives and intentions in ambiguous situations as hostile. In addition, there is preliminary evidence that attribution training programs, in which children are trained to endorse benign rather than hostile attributions in response to ambiguous social scenarios, are effective for reducing aggression-related cognitive biases. The present study was designed to replicate and extend the findings reported by Vassilopoulos, Brouzos, and Andreou (2015) by investigating whether a novel attribution training program can reduce hostile attributions and reactive aggression in a sample of primary school children. A sample of children aged 10 to 12 years was trained over three sessions to endorse benign rather than hostile attributions in response to ambiguous social scenarios. This group ( n = 84) was subsequently less likely to endorse hostile attributions in response to a new set of ambiguous social situations in a pretest - posttest with control group ( n = 45) design. Crucially, self-reported proactive and reactive aggressive behavior was reduced more in the trained group than in the untrained controls, and this effect was greater for reactive aggression. Children who received attribution training also reported less perceived anger than those in the control group. Implications of these findings are discussed.
AP-DEVJ210072 1735..1747

School reopening during COVID-19 can be a particularly stressful transition for many adolescents. However, little is known about the impact of parent–child relationships on adolescents’ mental health during this transition. Using a 2-wave longitudinal design, this research examined the role of parent–child conflict and intimacy in adolescents’ psychological distress after school reopening. Immediately before school reopening, 879 Chinese adolescents (mean age = 13.14 years, 51% girls) reported on their parent–child conflict and intimacy. They also reported on their depressive symptoms and anger problems before and 3 months after school reopening. Youth who reported higher levels of parent–child conflict and lower levels of parent–child intimacy before school reopening were more likely to show increased depressive symptoms and anger problems over time. Moreover, the moderating role of parent–child conflict and intimacy in the link between youth’s perceived stress toward school reopening and psychological distress was investigated. Specifically, parent–child conflict moderated the impact of youth’s perceived stress on their psychological distress, such that greater perceived stress was only linked with more psychological distress over time in families with higher levels of parent–child conflict, but not in families with lower levels of parent–child conflict. Taken together, the findings highlight the important role of parent–child relationships in shaping adolescent’s mental health as they return to school, which provides key insights into reducing adolescents’ psychological distress during the transition of school reopening in COVID-19 pandemic.
Supplementary Material: Geometrically Adaptive Dictionary Attack on Face Recognition

In this supplementary material, we describe hyperparameter settings for attack methods used in our experiments. We also illustrate the perturbation norm curves that visually show each method’s query efficiency and additional qualitative results for comprehensive comparisons. We also list the experimental results of the decision-based black-box attacks against a deeper target model, CurricularFace ResNet100 [8, 6].
Lepton universality tests and searches for charged lepton ﬂavor violation with the CMS experiment universality for with the experiment

Lepton families and lepton ﬂavours are central pillars of the standard model (SM). However, these fundamental symmetries are explained but not motivated. The observation of neutrino oscillations indicates that lepton ﬂavour (LF) is not conserved in the SM, and it is possible that LF violating decays could also be observed in the charged lepton sector. Charged LF violating decays are allowed in the SM although they are extremely rare and inaccessible at current colliders. Recent measurements provide a consistent tension of lepton ﬂavour universality (LFU) in processes that include B-decays. These could either be due to simple ﬂuctuations or indicate ﬁrst hints of the breaking of the SM. If conﬁrmed, LFU violation would imply physics beyond the SM, such as new fundamental interactions. Here, tests of charged LFU and searches for charged LFU violating decays at the CERN LHC with the CMS experiment are presented and discussed. tests or a muon. Three diﬀerent ﬁnal states are sought: the hadronic ﬁnal state ( τ h +jets), leptonic τ τ h ( (cid:96) no τ h