Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Community Involvement in Ethnic Discrimination and Depression Symptoms among Ethnic Minority College Students

THE ROLE OF COMMUNITY INVOLVEMENT IN ETHNIC DISCRIMINATION AND DEPRESSION SYMPTOMS AMONG ETHNIC MINORITY COLLEGE STUDENTS Jaclyn Pachicano, B.A. Marquette University, 2021 Over the past two decades, there has been an increase in racial and ethnic minorities attending college (Davis & Fry, 2019). Unfortunately, racial and ethnic minority students are at higher risk for depression symptoms and are less likely to seek out services to address these symptoms (Hope et al., 2018). A possible contributing factor to elevated depression symptoms in this population is exposure to racial and ethnic discrimination, which has repeatedly been linked to increased depression symptoms (Araújo & Borrell, 2006; Chou et al., 2012). Previous literature suggests that community involvement may serve as a buffer or a pathway for the negative consequences of experiences of discrimination given its connection to positive social and mental health outcomes (Earnshaw et al., 2016; Hull et al., 2008; Solomon et al., 1987). The purpose of the current study was to better understand the role of community involvement in the relationship between discrimination and depression symptoms among racial and ethnic minority college students. This study included 204 racial and ethnic minority students recruited from a predominately White university in the Midwest. Participants completed self-report questionnaire measures. Moderation analyses via OLS regressions and simple mediation analyses were calculated with PROCESS, which tests indirect effects with bootstrapping. Community involvement did not moderate the relationship between discrimination and depression. However, community involvement mediated the relationship between overt discrimination and depression (Effect = -.664, 95% CI = -1.611, -.031). Community involvement also mediated the relationship between racial and ethnic microaggressions and depression (Effect = -.63, 95% CI = -1.36, -.058). Community involvement served as a mediator between experiences of discrimination (i.e., microaggressions and overt) and depression symptoms. These findings suggest that elements of community involvement may be important in alleviating the negative mental health outcomes experienced by racial and ethnic minority students given its ability to link experiences of discrimination and depression symptoms. Theoretical and practical implications are discussed.
Parallelism in Soft Linear Logic

We extend the Soft Linear Logic of Lafont with a new kind of modality, called parallel . Contractions on parallel modalities are only allowed in the cut and the left (cid:40) rules, in a controlled, uniformly distributive way. We show that SLL, extended with this parallel modality, is sound and complete for PSPACE. We propose a corresponding typing discipline for the λ -calculus, extending the STA typing sys-tem of Gaboardi and Ronchi, and establish its PSPACE soundness and completeness. The use of the parallel modality in the cut-rule drives a polynomial-time, parallel call-by-value evaluation strategy of the terms.
Autoregressive Stylized Motion Synthesis with Generative Flow

Motion style transfer is an important problem in many computer graphics and computer vision applications, including human animation, games, and robotics. Most existing deep learning methods for this problem are supervised and trained by registered motion pairs. In addition, these methods are often limited to yielding a deterministic output, given a pair of style and content motions. In this paper, we propose an unsupervised approach for motion style transfer by synthesizing stylized motions autoregressively using a generative flow model $\mathcal{M}$. $\mathcal{M}$ is trained to maximize the exact likelihood of a collection of unlabeled motions, based on an autoregressive context of poses in previous frames and a control signal representing the movement of a root joint. Thanks to invertible flow transformations, latent codes that encode deep properties of motion styles are efficiently inferred by $\mathcal{M}$. By combining the latent codes (from an input style motion S) with the autoregressive context and control signal (from an input content motion C), $\mathcal{M}$ outputs a stylized motion which transfers style from S to C. Moreover, our model is probabilistic and is able to generate various plausible motions with a specific style. We evaluate the proposed model on motion capture datasets containing different human motion styles. Experiment results show that our model outperforms the state-of-the-art methods, despite not requiring manually labeled training data.
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation

In this work, we propose TediGAN, a novel framework for multi-modal image generation and manipulation with textual descriptions. The proposed method consists of three components: StyleGAN inversion module, visual-linguistic similarity learning, and instance-level optimization. The inversion module maps real images to the latent space of a well-trained StyleGAN. The visual-linguistic similarity learns the text-image matching by mapping the image and text into a common embedding space. The instancelevel optimization is for identity preservation in manipulation. Our model can produce diverse and high-quality images with an unprecedented resolution at 10242. Using a control mechanism based on style-mixing, our TediGAN inherently supports image synthesis with multi-modal inputs, such as sketches or semantic labels, with or without instance guidance. To facilitate text-guided multi-modal synthesis, we propose the Multi-Modal CelebA-HQ, a large-scale dataset consisting of real face images and corresponding semantic segmentation map, sketch, and textual descriptions. Extensive experiments on the introduced dataset demonstrate the superior performance of our proposed method. Code and data are available at https://github.com/weihaox/TediGAN.
Dynamik gelöster Stoffe und Phosphorrückhalt in wiedervernässten Mooren des Peenetals (Mecklenburg-Vorpommern)

Dynamics of dissolved substances and phosphorus retention in rewetted fens of the valley of river Peene (Mecklenburg-Vorpommern, Germany) Rewetting of drained fens is an actual demand to restore their ecological functions (nutrient and water retention/storage, improvement of water quality of surface waters, soil protection, biodiversity). However, an increasing nutrient export, especially of phosphorus, into adjacent surface waters due to fen rewetting can not be excluded in the first years of rewetting. Therefore, nutrient dynamics of fen pore water were investigated by means of dialysis samplers in large-area rewetted fens in the valley of river Peene (Mecklenburg-Vorpommern). Large spatial and temporal heterogeneities for concentrations of phosphorus, ammonia and
Shiramizu, V. K. M., Kozma, L., Debruine, L. and Jones, B. C. (2019) Are dark triad cues really visible in faces? Personality and Individual

The ‘dark triad’ refers to the personality traits narcissism, Machiavellianism and psychopathy. Previous research found that participants could distinguish dark triad faces when judging images with average facial characteristics of people who scored either high or low on these traits. These results suggest that faces contain valid cues to dark triad personality traits and that the dark triad is a set of physical-morphological characteristics, as well as a set of psycho-social characteristics. Because putative links between personality traits and facial appearance have often not replicated well across studies, we attempted to replicate these results with a new set of face images. Participants correctly identified the high-narcissism male and female prototypes and the high-psychopathy male prototype significantly more often than would be expected by chance. By contrast, our analyses showed no evidence that participants could discriminate between the highand lowMachiavellianism prototypes for either sex. Surprisingly, participants correctly identified the high-psychopathy female prototype significantly less often than would be expected by chance alone. Together our results suggest that male and female faces contain valid cues of narcissism, but do not necessarily contain valid cues of psychopathy or Machiavellianism.
USING REFLECTIVE PRACTICES TO EXPLORE POSTGRADUATE STUDENTS SELF-DIRECTED LEARNING READINESS IN MOBILE LEARNING PLATFORM AND TASK-CENTERED ACTIVITY

The purpose of this study is to explore postgraduate students’ self-directed learning (SDL) readiness using Mobile learning (M-learning) in Massive Open Online Courses (MOOCs) as a platform and task-centred activity. Reflective practice is used to measure students SDL readiness. This study is qualitative in nature. The research employed thematic analysis method, which involved systematic coding processes, entailing coding, finding categories and themes. Hence, 34 postgraduate students from a public university were selected via a purposive sampling method. They were initially introduced to M-learning course content in FutureLearn (MOOCs) platform, followed by reflective practices. Pre-reflective practices happened before students were enlisted into the M-learning process, During-reflective process in FutureLearn platform and Post-reflective upon completion of the task-centered activity. The findings revealed that most of these students were not sure of their own readiness to take on SDL in the M-learning platform during the pre-reflective stage. However, most of them were able to monitor their own readiness at the During-reflective process. Subsequently, they made progress in adopting and self-evaluating their own performance by completing the task-centered activity successfully. Therefore, the contribution of this study is on constructing reflective practices based on three different stages. Hence, the reflective approach practice has given students insight on their own learning capabilities and readiness for SDL in the mobile platform.
Post-transcriptional splicing can occur in a slow-moving zone around the gene

Splicing is the stepwise molecular process by which introns are removed from pre-mRNA and exons are joined together to form mature mRNA sequences. The ordering and spatial distribution of these steps remain controversial, with opposing models suggesting splicing occurs either during or after transcription. We used single-molecule RNA FISH, expansion microscopy, and live-cell imaging to reveal the spatiotemporal distribution of nascent transcripts in mammalian cells. At super-resolution levels, we found that pre-mRNA formed clouds around the transcription site. These clouds indicate the existence of a transcription site proximal zone through which RNA move more slowly than in the nucleoplasm. Full-length pre-mRNA undergo continuous splicing as they move through this zone following transcription, suggesting a model in which splicing can occur post-transcriptionally but still within the proximity of the transcription site, thus seeming co-transcriptional by most assays. These results may unify conflicting reports of co-transcriptional versus post-transcriptional splicing.
Employee Discrimination and Corporate Morale: Evidence from the Equal Employment Opportunity Commission

Using the Equal Employment Opportunity Commission’s (EEOC) news list as a firm level discrimination shock and Glassdoor.com employee reviews from 2012 to 2018 suggest a negative causal link between discrimination publicity and employee morale. Specifically, receiving an EEOC discrimination announcement results in a 7.5% decrease for employee approval of a CEO but only has a marginal negative effect on employee approval of the firm. A decrease in employee morale happens because financial uncertainty increases, measured by decreases in cash, revenue, and stock returns, after an EEOC announcement. The findings imply that discrimination hurts the intangible good of corporate relationships.
Hotspots of pest-induced US urban tree death, 2020-2050

Urban trees are important nature-based solutions for future wellbeing and livability but are at high risk of mortality from insect pests. In the United States (US), 82% of the population live in urban settings and this number is growing, making urban tree mortality a matter of concern for most of its population. Until now, the magnitudes and spatial distributions of risks were unknown. Here, we combine new models of street tree populations in ∼30,000 US communities, species-specific spread predictions for 57 invasive insect species, and estimates of tree death due to insect exposure for 48 host tree genera. We estimate that 1.4 million street trees will be killed by invasive insects from 2020 through 2050, costing an annualized average of US$ 30M. However, these estimates hide substantial variation: 23% of urban centers will experience 95% of all insect-induced mortality. Further, 90% of all mortality will be due to emerald ash borer (Agrilus planipennis, EAB), which is expected to kill virtually all ash trees (Fraxinus spp.) in >6000 communities. We define an EAB high-impact zone spanning 902,500km2, largely within the southern and central US, within which we predict the death of 98.8% of all ash trees. “Mortality hotspot cities” include Milwaukee, WI; Chicago, IL; and New York, NY. We identify Asian wood borers of maple and oak trees as the highest risk future invaders, where a new establishment could cost US$ 4.9B over 30 years. Policy implications: To plan effective mitigation, managers must know which tree species in which communities will be at the greatest risk, as well as the highest-risk insects. We provide the first country-wide, spatial forecast of urban tree mortality due to invasive insect pests. This framework identifies dominant pest insects and spatial impact hotspots, which can provide the basis for spatial prioritization of spread control efforts such as quarantines and biological control release sites. Our results highlight the need for EAB early-detection efforts as far from current infestations as Seattle, WA. Further, these findings produce a list of biotic and spatiotemporal risk factors for future high-impact US urban forest insect pests.
On density estimation at a fixed point under local differential privacy

We consider non-parametric density estimation in the framework of local, both pure and approximate, differential privacy. In contrast to centralized privacy scenarios with a trusted curator, in the local setup anonymization must be guaranteed already on the individual data owners’ side and must therefore precede any data mining tasks. Thus, the published anonymized data should be compatible with as many statistical procedures as possible. We consider different mechanisms to establish pure and approximate differential privacy, respectively. We obtain minimax type results over Sobolev classes indexed by a smoothness parameter s > 1/2 for the mean squared error at a fixed point. In particular, we show that appropriately defined kernel density estimators can attain the optimal rate of convergence if the bandwidth parameter is correctly specified. Notably, the optimal convergence rate in terms of the sample size n is n−(2s−1)/(2s+1) under pure differential privacy and thus deteriorated to the rate n−(2s−1)/(2s) which holds both without privacy restrictions and under approximate differential privacy. Since the optimal choice of the bandwidth parameter depends on the smoothness s and is thus not accessible in practise, adaptive methods for bandwidth selection are necessary and must, in the local privacy framework, be performed based on the anonymized data only. We address this problem by means of variants of Lepski’s method tailored to the privacy setups at hand and obtain general oracle inequalities for private kernel density estimators. In the Sobolev case, the resulting adaptive estimators attain the optimal rates of convergence at least up to logarithmic factors. On the side, we discuss some critical issues related with the notion of approximate differential privacy. MSC2020 subject classifications: Primary 62G05; secondary 68P25.
PPA_A_283034 2559..2572

1Hepatology, Gastroenterology and Transplantation (HEGITO) Department of the 2nd Department of Medicine, Slovak Medical University, FD Roosevelt Hospital, Banska Bystrica, Slovakia; 2Department of Mathematics, Faculty of Natural Sciences, Matej Bel University, Banska Bystrica, Slovakia; 3Gastroenterology and Hepatology Subdiv. of the 5th Department of Medicine, Comenius University Faculty of Medicine, University Hospital Bratislava, Bratislava, Slovakia Purpose: Patients with advanced chronic liver disease (ACLD) often have a poor nutritional status. In the management, current guidelines recommend dietary counseling and oral nutritional supplements (ONS). Nutritional goals and adherence to ONS are difficult to achieve while studies addressing adherence are scarce. We aimed to evaluate adherence to ONS, the associated factors, and its impact on outcome among ALCD patients who are discharged from the hospital. Patients and Methods: We identified consecutive hospitalized patients with ACLD from the cirrhosis registry and ONS prescription at discharge. Baseline demographics, anthropometrics, hand-grip strength (HGS), nutritional, and laboratory parameters were recorded. Adherence was assessed at 30, 90, and 180 days, but not in patients who did not survive or in those who underwent liver transplantation (LT) before the time-point. Results: From the registry containing 1004 patients, we included 450 cases, the median age was 56.3 (IQR 47–62), 60% were males, 63.8% had alcoholic etiology, and the median model for end-stage liver disease score (MELD) was 16 (11–21). During follow-up, 13.6%, 23.6%, and 31.1% of patients have died within 30, 90, and 180 days, respectively, and 21 underwent LT. Adherence to ONS in surviving patients was observed in 46%, 26.1%, and 16.9% within 30, 90, and 180 days, respectively. Baseline refractory ascites (HR=0.43, 0.24–0.76), HGS (HR=1.03, 1.01–1.06), and mid-arm circumference (HR=0.93, 0.88–0.99) were independently associated with 30-day adherence. Among patients who survived beyond 30 days, adherents for >30 days had improved synthetic liver function, HGS, a higher probability of LT (HR=1.7, 1.03–2.8) and lower risk of death (HR=0.65, 0.45–0.89), particularly those with MELD>16 (OR=0.55, 0.36–0.85) and low HGS (OR=0.61, 0.39–0.93). Conclusion: In ACLD patients after discharge, adherence to ONS steeply declined and was associated with baseline refractory ascites and low muscle strength. Adherence to ONS also improved liver function, muscle strength, and survival.
109-248 Tourism 2018 02ENG.indd

Th is study aimed at examining residents' perception of tourism impacts around Mount Kilimanjaro, the highest point in Africa. Using the Social Exchange Th eory as an overarching theory, economic benefi ts, involvement in planning and contact with tourists were used to group the residents and their perceptions compared. A structured questionnaire was in collecting data from 160 conveniently selected residents around Mount Kilimanjaro. Mann-Whitney tests were used to appraise signifi cant diff erences in residents' perception between groups. Th e results indicate residents who derive economic benefi ts from tourism, having direct contact with tourists, and those who participate in tourism planning to have relatively more positive perception of tourism impacts. Th e fi ndings support to the Social Exchange theory and subsumed theories under it including Dependency, Contact hypothesis, and Power/Empowerment theories. Th e study fi ndings off ers practical implications to Destination Management Organizations in planning and interacting with the tourists as well as fi nding avenues for residents to benefi ts economically, socially, and environmentally from tourism, and thus alleviate the rampant poverty in the areas around the mountain. Unlike previous studies this study integrated diff erent theories in understanding residents' perception of tourism impacts. Contextually, this study reveals fi ndings in a relatively less researched area in Africa.
Protocols for preventing and tackling sexual violence in the university context: an analysis of the Latin American scenario>

Sexual violence is a public health issue, and it is present in several contexts, including universities. This study systematized information found in 34 protocols for preventing and tackling sexual violence in Latin American universities. The following aspects were examined: year of publication; terms selected by protocols to designate goals and guidelines, as well as the references used to frame the concepts; social markers; the scope of application; and support network provided by universities. From the overall number, 75% were created between 20152018, showcasing recent development. As for terminology, the notion of sexual violence allows for a wider and more objective account of diverse ways of violence, presenting a more fruitful manner of identifying the phenomenon. As for the scope of applicability of the policy, it is important to consider institutional ties, not only the spatial limits of campuses, as well as virtual relationships, and not just face-to-face. The support network provided by university stands as a decisive factor for more effective counseling and guidance of the occurrences. While the formulation of protocols remains a necessary policy to sanction the university’s responsibility, it must be combined with complementary ones that include developing further research in this field.
Privacy Preserving Localization and Mapping from Uncalibrated Cameras

Recent works on localization and mapping from privacy preserving line features have made significant progress towards addressing the privacy concerns arising from cloud-based solutions in mixed reality and robotics. The requirement for calibrated cameras is a fundamental limitation for these approaches, which prevents their application in many crowd-sourced mapping scenarios. In this paper, we propose a solution to the uncalibrated privacy preserving localization and mapping problem. Our approach simultaneously recovers the intrinsic and extrinsic calibration of a camera from line-features only. This enables uncalibrated devices to both localize themselves within an existing map as well as contribute to the map, while preserving the privacy of the image contents. Furthermore, we also derive a solution to bootstrapping maps from scratch using only uncalibrated devices. Our approach provides comparable performance to the calibrated scenario and the privacy compromising alternatives based on traditional point features.
Rural Income Generating Activities: Trying Out New Institutions

This paper assesses the current rural development practice against the main trends in recent rural development thinking, based on evidence from four country case studies. While much progress has been made in understanding the need to look beyond only agriculture for the promotion of productive activities in rural areas, and the ‘institutional vacuum’ consistently identified in the rural non-farm literature is gradually being filled, much remains to be done. One aspect on which more research is particularly needed is the development of better mechanisms to promote productive investment rather than just social investment and to assess the appropriate level – community, regional, national – at which to do this.