Miracle-dz/UniFAR-FTUs huggingface dataset:
Perceived negative emotion in neutral faces: Gender-dependent effects on attractiveness and threat.

Humans automatically form first impressions based on others' appearance, including their perceived emotional state. When others' facial expressions are neutral, or "resting," people nevertheless infer emotion, which they overgeneralize to trait judgments such as attractiveness and threat. I argue that perceived resting negative emotion (PRNE) predicts attractiveness and threat and that these effects are moderated by target gender, such that PRNE more strongly predicts attractiveness for women and threat for men. Analysis of 597 coded faces supports these predictions. Furthermore, moderated mediation analysis suggests that threat partly explains the gender moderation of PRNE's effect on attractiveness, such that threat negatively predicts attractiveness more strongly for women. These findings highlight the moderating role of target gender in emotional-face overgeneralization. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
Highly sensitive lens-free fluorescence imaging device enabled by a complementary combination of interference and absorption filters

We report a lens-free fluorescence imaging device using a composite filter composed of an interference filter and an absorption filter, each applied to one side of a fiber optic plate (FOP). The transmission of angled excitation light through the interference filter is absorbed by the absorption filter. The auto-fluorescence of the absorption filter is reduced by the reflection from the interference filter of normally incident excitation light. As a result, high-performance rejection of excitation light is achieved in a lens-free device. The FOP provides a flat, hard imaging device surface that does not degrade the spatial resolution. We demonstrate excitation rejection of approximately 108:1 at a wavelength of 450 nm in a fabricated lens-free device. The resolution of fluorescence imaging is approximately 12 µm. Time-lapse imaging of cells containing green fluorescent protein was performed in a 5-µm thin-film chamber. The small dimensions of the device allow observation of cell culturing in a CO2 incubator. We also demonstrate that the proposed lens-free filter is compatible with super-resolution bright-field imaging techniques. These features open a way to develop a high-performance, dual-mode, lens-free imaging device that is expected to be a powerful tool for many applications, such as imaging of labeled cells and point-of-care assay.
Risk factors for Age-related Macular Degeneration in a Greek population: The Thessaloniki Eye Study

ABSTRACT Purpose: To assess the association of potential risk factors with early and late age-related macular degeneration (AMD) in the Thessaloniki Eye Study (TES) population Design: Population-based, cross-sectional study of subjects over age of 60 living in Thessaloniki, Greece Methods: Subjects without any AMD features and subjects with early and late AMD (neovascular AMD or geographic atrophy) were identified in the TES cohort using standardized procedures and masked grading of stereo color fundus photos. Demographic, lifestyle, systemic and other ophthalmic covariates were also collected during a detailed examination process. Their association with AMD was investigated using univariate and multivariate adjusted logistic regression models. Results: Among the 2108 participants with gradable photos, the grading process identified 1204 subjects with no AMD, 848 subjects with early AMD, and 56 subjects with late AMD (24 with geographic atrophy and 32 with neovascular AMD). In multivariate analysis, compared to no AMD, late AMD was positively associated with older age (OR:1.16; 95%CI:1.10–1.22 per year of age), current smoking (smoking vs. never smoking, OR:2.34; 95%CI:1.12–4.90), prior cataract surgery (cataract surgery vs. no cataract surgery OR:2.06; 95%CI:0.96–4.40), marital status (divorced/separated vs. married, OR:3.10; 95%CI:1.08–8.93) and with 60% lower odds when sleeping in the afternoon (yes vs. no, OR:0.40; 95%CI:0.22–0.72). Early AMD was positively associated with older age (OR: 1.03; 95%CI:1.01–1.05 per year of age) and negatively with higher pulse pressure (OR:0.99; 95%CI:0.98–0.99 per mmHg). Conclusions: In TES, apart for well-known risk factors for AMD like age, smoking, and cataract surgery, two novel behavioral risk factors for prevalent late AMD were suggested. Sleeping in the afternoon was associated with 60% decreased odds for late AMD and 67% decreased odds for neovascular AMD. Being divorced/separated compared to married was associated with 3-fold higher odds for late AMD. Large longitudinal population-based studies will be necessary to further establish the potential late AMD risk effects of these two novel factors, to demonstrate potential implications of underlying pathogenetic mechanisms, and to explore preventive measures and therapeutic targets.
AlphaGomoku: An AlphaGo-based Gomoku Artificial Intelligence using Curriculum Learning

In this project, we combine AlphaGo algorithm with Curriculum Learning to crack the game of Gomoku. Modifications like Double Networks Mechanism and Winning Value Decay are implemented to solve the intrinsic asymmetry and short-sight of Gomoku. Our final AI AlphaGomoku, through two days' training on a single GPU, has reached humans' playing level.
Priorities for Investing in Community Health Improvement: A Comparison of Decision Makers in Public Health, Nonprofit Hospitals, and Community Nonprofits.

CONTEXT As a result of additional requirements for tax exemption, many nonprofit hospitals have become more actively involved in community health improvement. There is an open question, however, as to how decision makers in hospitals decide which kind of improvement projects should receive priority and how hospital managers' priorities compare with those of decision makers in public health agencies and community-based nonprofits. OBJECTIVE To understand the priorities that guide decision makers in public health, nonprofit hospitals, and community nonprofits when allocating resources to community health projects. DESIGN We conducted an online survey with a discrete choice experiment, asking respondents to choose between different types of community health projects, which varied along several project characteristics. Respondents included managers of community health and community benefit at nonprofit hospitals (n = 225), managers at local public health departments (n = 200), and leaders of community nonprofits (n = 136). Respondents were located in 47 of 50 US states. A conditional logit model was used to estimate how various project characteristics led to greater or lesser support of a given health project. Open-ended questions aided in interpretation of results. RESULTS Respondents from all 3 groups showed strong agreement on community health priorities. Projects were more likely to be selected when they addressed a health issue identified on community health needs assessment, involved cross-sector collaboration, or were supported by evidence. Project characteristics that mattered less included the time needed to measure the project's impact and the project's target population. CONCLUSION Elements often considered central to community health, such as long-term investment and prioritizing vulnerable populations, may not be considered by decision makers as important as other aspects of resource allocation. If we want greater priority for ideas such as health equity and social determinants of health, it will take a concerted effort from practitioners and policy makers to reshape expectations.
Breaking Users' Mobile Phone Number Based on Geographical Location: A Case Study with YY

Geographical location and mobile phone numbers are important parts of user privacy and lots of studies have been working on the privacy leakage problems of these two aspects. However, no researchers have ever studied the security problems that can be caused by the interaction between them. We show a new form of network attack in this paper by making full use of the relationship between them; namely, we try to break a user’s mobile phone number with the aid of a user’s geographical location that has been broken. We study the phenomenon of exposing a user’s geographical location and parts of their phone number that exist in a series of popular software products, and the possibility of the user’s mobile phone number to be broken is discussed. We choose one of the software (the largest entertainment webcast platform in China—YY) as the research object. First, taking advantage of a series of security vulnerabilities that exist in YY, a user’s accurate geographical location is broken by the trilateration localization algorithm. Then, their mobile phone number attribution can be inferred according to their geographical location. Next, a mobile phone number test set is constructed according to the mobile phone segment allocation made by the three carriers (telecommunication operators) and the exposed parts of the user’s phone number. Finally, a brute-force method is used to break the user’s mobile phone number. The great effect of a user’s geographical location on breaking a mobile phone number is proved by experiments, and security precaution suggestions are given at the end of the paper.
An update on the recent advances in antifibrotic therapy

ABSTRACT Introduction: Chronic injury to the liver, such as viral hepatitis, alcoholism, non-alcoholic fatty liver disease (NAFLD) or nonalcoholic steatohepatitis (NASH), promotes extracellular matrix deposition and organ scarring, termed hepatic fibrosis. Fibrosis might progress to cirrhosis and predisposes to hepatocellular carcinoma (HCC), but is also associated with extrahepatic morbidity and mortality in NAFLD/NASH. The improved understanding of pathogenic mechanisms underlying chronic inflammation and fibrogenesis in the liver prompted recent advances in antifibrotic therapies. Areas covered: We review recent advances in antifibrotic therapy, of which most are currently tested in clinical trials for NAFLD or NASH. This explains the manifold metabolic pathways as antifibrotic targets, including farnesoid X receptor (FXR) agonism (obeticholic acid, nonsteroidal FXR agonists), acetyl-CoA carboxylase inhibition, peroxisome proliferator-activator receptor agonism (elafibranor, lanifibranor, saroglitazar), and fibroblast growth factor (FGF)-21 or FGF-19 activation. Other antifibrotic drug candidates target cell death or inflammation, such as caspase (emricasan) or ASK1 inhibitors (selonsertib), galectin-3 inhibitors and reducing inflammatory macrophage recruitment by blocking chemokine receptors CCR2/CCR5 (cenicriviroc). Expert commentary: The tremendous advances in translational and clinical research fuels the hope for efficacious antifibrotic therapies within the next 5 years. Very likely, a combination of etiology-specific, metabolic, anti-inflammatory, and direct antifibrotic interventions will be most effective.
Xenotransplantation panel for the detection of infectious agents in pigs

Recent advances in xenotransplantation have produced organs from pigs that are well tolerated in primate models because of genetic changes engineered to delete major antigens from donor animals. To ensure the safety of human transplant recipients, it will be essential to understand both the spectrum of infectious agents in donor pigs and their potential to be transmitted to immunocompromised transplant recipients. Equally important will be the development of new highly sensitive diagnostic methods for use in the detection of these agents in donor animals and for the monitoring of transplant recipients.
Treatment of Intracranial Aneurysms with Self-Expandable Braided Stents: A Systematic Review and Meta-Analysis

BACKGROUND: The safety and efficacy of treatment with self-expandable braided stents (LEO and LVIS) required further investigation. PURPOSE: Our aim was to analyze the outcomes after treatment with braided stents. DATA SOURCES: A systematic search of 3 databases was performed for studies published from 2006 to 2017. STUDY SELECTION: According to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we included studies reporting patients treated with LEO or LVIS stents. DATA ANALYSIS: Random-effects meta-analysis was used to pool the following: aneurysm occlusion rate, complications, and neurologic outcomes. DATA SYNTHESIS: Thirty-five studies evaluating 1426 patients treated with braided stents were included in this meta-analysis. Successful stent delivery and complete aneurysm occlusion were 97% (1041/1095; 95% CI, 95%–98%) (I2 = 44%) and 88.3% (1097/1256; 95% CI, 85%–91%) (I2 = 72%), respectively. Overall, treatment-related complications were 7.4% (107/1317; 95% CI, 5%–9%) (I2 = 44%). Ischemic/thromboembolic events (48/1324 = 2.4%; 95% CI, 1.5%–3.4%) (I2 = 27%) and in-stent thrombosis (35/1324 = 1.5%; 95% CI, 0.6%–1.7%) (I2 = 0%) were the most common complications. Treatment-related morbidity was 1.5% (30/1324; 95% CI, 0.9%–2%) and was comparable between the LEO and LVIS groups. Complication rates between the anterior (29/322 = 8.8%; 95% CI, 3.4%–12%) (I2 = 41%) versus posterior circulation (10/84 = 10.5%; 95% CI, 4%–16%) (I2 = 0%) and distal (30/303 = 8%; 95% CI, 4.5%–12%) (I2 = 48%) versus proximal aneurysms (14/153 = 9%; 95% CI, 3%–13%) (I2 = 46%) were comparable (P > .05). LIMITATIONS: Limitations were selection and publication biases. CONCLUSIONS: In this analysis, treatment with the LEO and LVIS stents was relatively safe and effective. The most common complications were periprocedural thromboembolisms and in-stent thrombosis. The rate of complications was comparable among anterior and posterior circulation aneurysms, as well as for proximal and distally located lesions.
Classification of problematic Internet usage types by motives and contexts with elementary and secondary school-aged counseling clients

Background and aims Past research on the classification of problematic Internet use (PIU) has focused on symptom-based severity and usage motive in order to understand its mechanism. Recently, usage context, such as family or social relationships, has been identified as a key influencing factor of PIU. Therefore, we extended the classification of PIU to include usage context in addition to symptom-based severity and usage motive. Methods To classify PIU types, we conducted two studies. First, we performed a clustering analysis, where 265 counseling cases were clustered into usage types in terms of motive and context. After characterizing each usage type, we examined their hierarchical relationships by considering symptoms. Second, we performed a focus group interview with six counselors to increase the transferability of usage types. This transferability was established by matching counselors’ quotations to the usage types. When usage types showed consistency between quotations and the clustering analysis, we identified the progression patterns between hierarchical relationships. Results The clustering analysis of motive and context yielded six usage types with three hierarchical relationships. The focus group interview results verified the transferability of these six types and identified two progression patterns between the hierarchical relationships. Discussion and conclusion Although usage motive and context were given equal weight before the clustering analysis, the resulting types revealed that usage context played a greater role in the classification process.
The Reporting and Help-Seeking Behaviors of Cyberstalking Victims

Crime victims are left with multiple decisions to make in an effort to cope with and recover from their experiences being criminally victimized. For example, victims must decide if they are going to report their victimization experience to law enforcement and/or if they are going to seek help from various resources, both informal and professional entities. Research on the reporting or help-seeking behaviors of cyberstalking victims is limited, but necessary to ensure that these victims are receiving the help they need. Using self-report survey data collected from a sample of 477 cyberstalking victims, this study sought to identify the characteristics of the cyberstalking victimization experience that are associated with the victim’s decision to report the victimization to law enforcement, seek professional help, and seek informal help. Specifically, borrowing from Gottfredson and Gottfredson’s theory of decision making, the current study explored how measures of offense seriousness and the victim–offender relationship are associated with cyberstalking victims’ reporting and help-seeking behaviors. The findings revealed that cyberstalking victims who experienced more serious offenses had increased odds of engaging in reporting and both types of help-seeking behaviors. Furthermore, victims who were cyberstalked by their current intimate partner had greater odds of engaging in reporting and professional help-seeking behaviors. As this study is just one of many that are needed to gain a better understanding of the reporting and help-seeking behaviors of cyberstalking victims, directions for future research are provided.
Overcoming Limitations of LoRa Physical Layer in Image Transmission

As a possible implementation of a low-power wide-area network (LPWAN), Long Range (LoRa) technology is considered to be the future wireless communication standard for the Internet of Things (IoT) as it offers competitive features, such as a long communication range, low cost, and reduced power consumption, which make it an optimum alternative to the current wireless sensor networks and conventional cellular technologies. However, the limited bandwidth available for physical layer modulation in LoRa makes it unsuitable for high bit rate data transfer from devices like image sensors. In this paper, we propose a new method for mangrove forest monitoring in Malaysia, wherein we transfer image sensor data over the LoRa physical layer (PHY) in a node-to-node network model. In implementing this method, we produce a novel scheme for overcoming the bandwidth limitation of LoRa. With this scheme the images, which requires high data rate to transfer, collected by the sensor are encrypted as hexadecimal data and then split into packets for transfer via the LoRa physical layer (PHY). To assess the quality of images transferred using this scheme, we measured the packet loss rate, peak signal-to-noise ratio (PSNR), and structural similarity (SSIM) index of each image. These measurements verify the proposed scheme for image transmission, and support the industrial and academic trend which promotes LoRa as the future solution for IoT infrastructure.
Are Bone Mineral Density and Fractures Related to the Incidence and Progression of Radiographic Osteoarthritis of the Knee, Hip, and Hand in Elderly Men and Women? The Rotterdam Study

To examine the longitudinal relationship between bone mineral density (BMD) and the incidence and progression of knee, hip, and hand osteoarthritis (OA), and to examine the relationship between prevalent vertebral and nonvertebral fractures and the incidence and progression of OA in elderly men and women in the Rotterdam Study.
Brillouin spectroscopy and radiography for assessment of viscoelastic and regenerative properties of mammalian bones

Abstract. Biomechanical properties of mammalian bones, such as strength, toughness, and plasticity, are essential for understanding how microscopic-scale mechanical features can link to macroscale bones’ strength and fracture resistance. We employ Brillouin light scattering (BLS) microspectroscopy for local assessment of elastic properties of bones under compression and the efficacy of the tissue engineering approach based on heparin-conjugated fibrin (HCF) hydrogels, bone morphogenic proteins, and osteogenic stem cells in the regeneration of the bone tissues. BLS is noninvasive and label-free modality for probing viscoelastic properties of tissues that can give information on structure-function properties of normal and pathological tissues. Results showed that MCS and BPMs are critically important for regeneration of elastic and viscous properties, respectively, HCF gels containing combination of all factors had the best effect with complete defect regeneration at week nine after the implantation of bone grafts and that the bones with fully consolidated fractures have higher values of elastic moduli compared with defective bones.
Conceptual design conceptual scheme optimization based on integrated design objectives

In the early conceptual design process, a large number of conceptual schemes can be selected. However, existing studies primarily focused on mapping from the function to the principle solution and then evaluating the principle scheme. Currently, many concept selection methods are used for a small number of feasible schemes, thus not addressing a large number of initial conceptual schemes. As the scheme design is objective oriented, a reasonable design objective constraint should be considered when optimizing many schemes to avoid conflict between the conceptual scheme and the design objectives. This approach can quickly eliminate many unreasonable schemes produced by the principle of free combination. To address this problem, we propose a method for optimizing the conceptual design scheme based on integrated design objectives. First, the product design objectives and sub-objectives are obtained based on the functional requirements. A user requirement matrix is then created to cluster and analyse the sub-objectives. Second, a cooperative game model is created to coordinate sub-objective contradictions. Then, the game player and the strategy set are defined via secondary clustering, and the strategy utility is calculated to create a game utility matrix for each objective. Finally, the eigenfunction is analysed to obtain the strategy set satisfying the maximum requirement interest, which is applied in principle scheme optimization to quickly filter unreasonable schemes. The conceptual design of a transmission device is used as an example of the rapidly implemented optimization of the conceptual schemes.
Statistical power in two-level models: A tutorial based on Monte Carlo simulation.

The estimation of power in two-level models used to analyze data that are hierarchically structured is particularly complex because the outcome contains variance at two levels that is regressed on predictors at two levels. Methods for the estimation of power in two-level models have been based on formulas and Monte Carlo simulation. We provide a hands-on tutorial illustrating how a priori and post hoc power analyses for the most frequently used two-level models are conducted. We describe how a population model for the power analysis can be specified by using standardized input parameters and how the power analysis is implemented in SIMR, a very flexible power estimation method based on Monte Carlo simulation. Finally, we provide case-sensitive rules of thumb for deriving sufficient sample sizes as well as minimum detectable effect sizes that yield a power ≥ . 80 for the effects and input parameters most frequently analyzed by psychologists. For medium variance components, the results indicate that with lower level (L1) sample sizes up to 30 and higher level (L2) sample sizes up to 200, medium and large fixed effects can be detected. However, small L2 direct- or cross-level interaction effects cannot be detected with up to 200 clusters. The tutorial and guidelines should be of help to researchers dealing with multilevel study designs such as individuals clustered within groups or repeated measurements clustered within individuals. (PsycINFO Database Record (c) 2019 APA, all rights reserved).