Miracle-dz/UniFAR-FTUs huggingface dataset:
Variability in Donor-Derived Cell-Free DNA Scores to Predict Mortality in Heart Transplant Recipients – A Proof-of-Concept Study

Background Over the last decade, expanding use of molecular diagnostics in heart transplantation has allowed implementation of non-invasive surveillance strategies for monitoring allograft health. The commercially available HeartCare platform combines the AlloMap gene expression profiling assay and the AlloSure donor-derived cell-free DNA test (dd-cfDNA). Beyond their established use for assessment of rejection, evidence is building for predictive utility, with the longitudinal AlloMap Variability score previously shown to correlate with the risk of future rejection, graft dysfunction, re-transplantation, or death. In this single-center, retrospective pilot study, we evaluated the performance of a novel AlloSure Variability metric in predicting mortality in a cohort of heart transplant recipients. Methods Seventy-two adult heart transplant recipients with at least 3 concurrent AlloMap/AlloSure results were included. Demographic, clinical, imaging, and laboratory parameters were captured. Variability was defined as the standard deviation of longitudinal AlloMap/AlloSure results. A Cox multivariable adjusted proportional hazards model was used to evaluate the variability metrics as predictors of mortality. Associations between AlloMap/AlloSure variability and donor specific antibody (DSA) status were also assessed. Results A total of 5 patients (6.9%) died during a median follow-up of 480 days. In a univariate Cox proportional hazards model, higher AlloSure variability (HR 1.66, 95%CI 1.14 – 2.41), but not AlloMap variability or the cross-sectional AlloSure/AlloMap results was associated with increased mortality risk. Longitudinal AlloSure variability was also higher among patients with both preformed DSA and those developing de novo DSA. Conclusion Our results suggest that increased variability of dd-cfDNA in heart transplant patients is associated with both mortality risk and the presence of donor specific antibodies. These findings highlight the added value of longitudinal data in the interpretation of AlloMap/AlloSure scores in this population and open the door to larger studies investigating the utility of these metrics in shaping post-transplant clinical care paradigms.
CIDAN-XE: Computing in DRAM with Artificial Neurons

This paper presents a DRAM-based processing-in-memory (PIM) architecture, called CIDAN-XE. It contains a novel computing unit called the neuron processing element (NPE). Each NPE can perform a variety of operations that include logical, arithmetic, relational, and predicate operations on multi-bit operands. Furthermore, they can be reconfigured to switch operations during run-time without increasing the overall latency or power of the operation. Since NPEs consume a small area and can operate at very high frequencies, they can be integrated inside the DRAM without disrupting its organization or timing constraints. Simulation results on a set of operations such as AND, OR, XOR, addition, multiplication, etc., show that CIDAN-XE achieves an average throughput improvement of 72X/5.4X and energy efficiency improvement of 244X/29X over CPU/GPU. To further demonstrate the benefits of using CIDAN-XE, we implement several convolutional neural networks and show that CIDAN-XE can improve upon the throughput and energy efficiency over the latest PIM architectures.
Prognostic Value of Serum Galectin-3 in Chronic Heart Failure: A Meta-Analysis

Objective To evaluate the association between serum galectin-3 and all-cause death (ACD) and cardiovascular death (CVD) in patients with chronic heart failure (CHF). Methods The PubMed and Embase databases and Clinical Trials Registry (www.clinicaltrials.gov) were searched for studies with data on serum galectin-3 and ACD and CVD in CHF patients. The hazard ratios (HRs) of ACD and CVD were calculated and presented with 95% CIs. HRs were pooled using fixed effects or random effects models when appropriate. Sensitivity analysis, meta-regression and subgroup analysis were applied to find the origin of heterogeneity. Visual inspection of Begg's funnel plot and Egger's test were performed to assess the possibility publication bias. Results Pooled data included the results from 6,440 patients from 12 studies in the meta-analysis. Higher serum galectin-3 was associated with a higher risk of ACD (HR, 1.38; 95% CI, 1.14–1.67) and CVD (HR, 1.13; 95% CI, 1.02–1.25) in CHF patients. In the subgroup analyses, higher serum galectin-3 was associated with an increased risk of ACD in all subgroups. The pooled HR of the shorter follow-up group (1.78; 95% CI, 1.50–2.11) was significantly higher than the pooled HR of the longer follow-up group (1.15; 95% CI, 1.05–1.25). Sensitivity analysis of eliminating one study in each turn indicated that Koukoui et al.'s study had the largest influence on the risk of all-cause death. All-cause death publication bias was not detected (Pr>|z| = 0.35 for Begg's test and P>|t| = 0.15 for Egger's test). Conclusions Serum galectin-3 has prognostic value of both all-cause death and cardiovascular death in CHF. Serum galectin-3 could be useful for risk classification in patients with CHF. Systematic Review Registration https://www.crd. york.ac. uk/prospero/display_record. php? RecordID=193399.
A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI

Purpose Hippocampal volumetry is an important biomarker to quantify atrophy in patients with mesial temporal lobe epilepsy. We investigate the sensitivity of automated segmentation methods to support radiological assessments of hippocampal sclerosis (HS). Results from FreeSurfer and FSL-FIRST are contrasted to a deep learning (DL)-based segmentation method. Materials and Methods We used T1-weighted MRI scans from 105 patients with epilepsy and 354 healthy controls. FreeSurfer, FSL, and a DL-based method were applied for brain anatomy segmentation. We calculated effect sizes (Cohen's d) between left/right HS and healthy controls based on the asymmetry of hippocampal volumes. Additionally, we derived 14 shape features from the segmentations and determined the most discriminating feature to identify patients with hippocampal sclerosis by a support vector machine (SVM). Results Deep learning-based segmentation of the hippocampus was the most sensitive to detecting HS. The effect sizes of the volume asymmetries were larger with the DL-based segmentations (HS left d= −4.2, right = 4.2) than with FreeSurfer (left= −3.1, right = 3.7) and FSL (left= −2.3, right = 2.5). For the classification based on the shape features, the surface-to-volume ratio was identified as the most important feature. Its absolute asymmetry yielded a higher area under the curve (AUC) for the deep learning-based segmentation (AUC = 0.87) than for FreeSurfer (0.85) and FSL (0.78) to dichotomize HS from other epilepsy cases. The robustness estimated from repeated scans was statistically significantly higher with DL than all other methods. Conclusion Our findings suggest that deep learning-based segmentation methods yield a higher sensitivity to quantify hippocampal sclerosis than atlas-based methods and derived shape features are more robust. We propose an increased asymmetry in the surface-to-volume ratio of the hippocampus as an easy-to-interpret quantitative imaging biomarker for HS.
Methodological Approaches To Assess Innate Immunity and Innate Memory in Marine Invertebrates and Humans

Assessing the impact of drugs and contaminants on immune responses requires methodological approaches able to represent real-life conditions and predict long-term effects. Innate immunity/inflammation is the evolutionarily most widespread and conserved defensive mechanism in living organisms, and therefore we will focus here on immunotoxicological methods that specifically target such processes. By exploiting the conserved mechanisms of innate immunity, we have examined the most representative immunotoxicity methodological approaches across living species, to identify common features and human proxy models/assays. Three marine invertebrate organisms are examined in comparison with humans, i.e., bivalve molluscs, tunicates and sea urchins. In vivo and in vitro approaches are compared, highlighting common mechanisms and species-specific endpoints, to be applied in predictive human and environmental immunotoxicity assessment. Emphasis is given to the 3R principle of Replacement, Refinement and Reduction of Animals in Research and to the application of the ARRIVE guidelines on reporting animal research, in order to strengthen the quality and usability of immunotoxicology research data.
Influencing Factors on College Students' Willingness to Spread Internet Public Opinion: Analysis Based on COVID-19 Data in China

Following COVID-19 outbreak, Internet public opinion has tended to proliferate. From a theoretical perspective, however, the spread law of Internet public opinion in major epidemic prevention and control may provide optimization strategies on how best to channel Internet public opinion. Specifically, this article aims at exploring key factors affecting our theoretical understanding on the spread of Internet public opinion on a major epidemic situation amongst college students. A questionnaire survey on college students was conducted via online research data collection platform located in Changsha, China, amassing three hundred and nineteen valid questionnaires. Smart PLS was applied to verify a theoretical model vis-à-vis the reliability and validity of the measuring instrument. Results show that adult attachment and social motivation have significant positive influences on the consciousness of social participation. Evidently, adult attachment, emotional orientation and risk perception also have significant positive influences on emotional motivation. Emotional motivation plays a mediating role in the relationship between affective disposition and dissemination willingness. Additionally, social motivation, consciousness of social participation and emotional motivation significantly influence one's dissemination willingness in a positive way. The consciousness of social participation plays a mediating role in the relationship between social motivation and dissemination willingness. Social motivation plays a moderating role in the relationship between risk perception and dissemination willingness. Altogether, theoretical rationalization to enhance understanding and guide the initiation and spread of Internet public opinion of major public health emergencies accurately has now been provided by this work.
Combined Plyometric and Short Sprint Training in U-15 Male Soccer Players: Effects on Measures of Jump, Speed, Change of Direction, Repeated Sprint, and Balance

This study examined the effect of 8 weeks of biweekly combined plyometric and short sprint training into the typical within-season training schedule of youth male soccer players. Participants were allocated at random to an experimental group (EG; n = 17, age: 14.6 ± 0.5 years, body mass: 60.5 ± 7.1 kg, height: 1.64 ± 0.08 m, body fat: 11.3 ± 1.4%) and a control group (CG; n = 17, age: 14.6 ± 0.4 years, body mass: 61.0 ± 3.9 kg, height: 1.67 ± 0.05 m, body fat: 11.8 ± 1.4%). Measures obtained pre- and post-intervention included vertical and horizontal jump performances (i.e., squat jump (SJ), countermovement jump with aimed arms (CMJA), and five-jump test (FJT)) and sprint performances (i.e., 10 and 30 m sprint). In addition, change-of-direction ability (sprint with 90° Turns (S90°) and sprint 9–3–6–3–9 m with backward and forward running (SBF)), repeated shuttle sprint ability (RSSA), and dynamic balance performance (Y balance test) were measured pre- and post-intervention. The EG experienced higher jump (all p < 0.05; d ≥ 0.71), sprint (all p < 0.05; d ≥ 0.64), change-of-direction ability (all p < 0.05; d ≥ 0.66), RSSA (all parameters except the fatigue index p < 0.01; d ≥ 0.71), and dynamic balance (all p ≤ 0.05; d ≥ 0.50) improvement compared to the CG. Adding biweekly combined plyometric and short sprint training to standard training improves the athletic performance of youth male soccer players (under 15 (U15)).
Commentary: Boosting Vaccine-Elicited Respiratory Mucosal and Systemic COVID-19 Immunity in Mice With the Oral Lactobacillus plantarum

We read with interest the article “Boosting Vaccine-Elicited Respiratory Mucosal and Systemic COVID-19 Immunity in Mice With the Oral Lactobacillus plantarum” (1). In this article, the authors demonstrated that probiotic Lactobacillus plantarum GUANKE (LPG) is able to boost severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-vaccine-induced effectivememory immune response by enhancing interferon signaling and suppressing apoptotic and inflammatory pathways. Co-administration of SARS-CoV-2 vaccine and LPG shows a great potential to improve coronavirus disease 2019 (COVID-19) vaccination efficacy. Routine administration of LPG is likely to enhance the host innate immune response to combat SARS-CoV-2. Altogether, the study not only contributes to the containment of the pandemic, but also gives us some inspiration for future research direction.
Parental Autonomy Support, Parental Psychological Control and Chinese University Students’ Behavior Regulation: The Mediating Role of Basic Psychological Needs

The present research examined relationships between parental autonomy support, parental psychological control, and Chinese emerging adults’ autonomous regulation in their university studies as well as dysregulation in social media engagement. A total of 287 (102 female and 185 male) Chinese university students reported on their perceived parenting styles, psychological needs, and behavior regulation. Results showed that basic psychological need satisfaction was positively associated with parental autonomy support and autonomous regulation of learning; need frustration was positively correlated with parental psychological control and dysregulation in social media engagement. More importantly, psychological need frustration was a mediator of the relation between parental psychological control and dysregulation in social media engagement. Our findings suggest that students living in an autonomy-supportive familial environment tend to have satisfied psychological needs as well as autonomous learning behavior. Impairment of psychological needs could be one of the mechanisms through which psychologically controlling parenting was linked to dysregulation of social media use in Chinese culture.
Longitudinal Analysis of Self-Reported Symptoms, Behavioral Measures, and Event-Related Potential Components of a Cued Go/NoGo Task in Adults With Attention-Deficit/Hyperactivity Disorder and Controls

This study characterizes a large sample of adults with attention-deficit/hyperactivity disorder (ADHD) and healthy controls regarding their task performance and neurophysiology; cross-sectionally and longitudinally. Self-reported symptoms, behavioral measures, and event-related potentials from a classical cued Go/NoGo task were used to outline the symptom burden, executive function deficits and neurophysiological features, and the associations between these domains. The study participants (N = 210 ADHD, N = 158 controls, age: 18–62 years) were assessed five (ADHD) or three (controls) times over two years. We describe cross-sectional and longitudinal group differences, and associations between symptom burden, and behavioral and event-related potential (ERP) components variables by latent growth curve models, including random slopes and intercepts. The ADHD group showed increased reaction time variability, increased commission and omission errors, and attenuated cueP3, CNV, N2d, and P3d amplitudes. We observed a decrease in self-reported symptoms in the ADHD group over the two years. The behavioral measures (reaction time variability, number of omission, and commission errors) did not change over time, whereas the cueP3, P3d, and N2d amplitude attenuated in both groups. There was no evidence for a robust association between symptom burden and behavioral or ERP measures. The changes in the ERP components with stable task performance, potentially indicate more efficient neuronal processing over the two years. Whether the lack of association between symptom burden and behavioral or ERP measures might be due to the low reliability of the ADHD assessment criteria, or the inappropriateness of the objective measures cannot be inferred.
Temporal Link Prediction with Network Embedding: Solution of Team NodeInGraph

Real world networks contains entities and there relationship are often described by various graphs since the interactions between entities are like the edges linked by nodes. However, a static graph is not enough for expressing the networks which are in practice temporal, with new edges coming in or disappearing as the passage of time. As the consequence, traditional link prediction tasks which ask if an edge exists between two nodes on a partially observed graph is not appropriate for temporal networks and alternative it is more useful asks if an edge will exist between two nodes within a given time span. In this paper, we will introduce our method to address the temporal link prediction problem in WSDM Cup 2022 1 , which aims at predicting link over temporal graphs within a given time period. As a participant (team NodeInGraph) in the competition, we explore the solution with graph-based method and find that only some network embedding methods can achieve a satisfying result. As a result, our team won the third prize with a T-Score of 0.585137 in the final leaderboard.
Microbia Load Reduction of Turbid Water Using Plant Base Coagulant

This paper investigates Microbiological quality of drinking water using banana stem juice as a natural coagulant derives from plant-based compound as well as FITR (Fourier transform infrared spectroscopy) and elemental analysis to ascertain the efficacy and basic functional groups and elements that aid in effective treatment. To obtain optimum condition in the treatment process, Design of experiment using Design expert trial version 10 was adopted. Three basic factors considered with their range of values include Dosage (5-10 ml/L), Retention time (40-60min) and pH (6.5-8.5) with fifteen experimental runs generated and from the result obtained, the best result was obtained in experimental run five with removal efficiency of 88.33%, of E. coli at the optimum condition of dosage 5ml/L, the retention time of 50min and pH of 8.5. FITR analysis reveals adsorption peak with bands of 3250.2 cm , 2922.2cm-1, 2307.2cm-1, 2150.7cm-1, 1580.4cm-1, 1449.9cm-1, 1401.5cm-1, 1308.3cm1,1121.9cm-1, 1039.9cm-1 and 767.8cm-1 representing the presence of OH, C-H, O=C, O=C≡N, N-H, C-H, S=O, C-O, C-O, CO-O-CO and C=C. The function groups such OH, N-H and C-O are responsible for promoting coagulation-flocculation by neutralizing the charge impurities in the water. From the elemental analysis result, it was determined that banana stem juice contained 0.1317% carbon, 0.063% nitrogen, and 0.000519% Sulphur. From the overall result, it could be concluded that Banana Stem Juice showed tremendous potential as a natural coagulant for treatment of microbiological parameters as evidenced in the 88.33% percentage efficacy achieved.
Import Penetration and Manufacturing Employment: Evidence from Africa

Exposure to import competition can either help or hurt domestic employment creation. There is, however, a dearth of cross-country empirical evidence assessing labor market effects of import penetration in Africa. This paper fills this gap. Using manufacturing industry and establishment-level data across 20 African countries and estimating a conditional and unconditional labor demand model, we find an unambiguous employment creation effect of intermediate good import penetration, whilst final good import penetration has a negative, or at best, an insignificant effect on employment. Splitting intermediate good import penetration into their origins, we find that intermediate good import penetration from developed (developing) countries is employment increasing (reducing). Further analyses reveal that the positive employment effects of intermediate import penetration from developed countries disproportionately benefit the skilled workforce. We also find that industries with higher absorptive capacity stand to gain more from intermediate good import penetration from developed countries, with the negative effects of intermediate good import penetration from developing countries also diminished for these industries. We discuss the implications of our findings.
The OCEAN mailing list data set: Network analysis spanning mailing lists and code repositories

Communication surrounding the development of an open source project largely occurs outside the software repository itself. Historically, large communities often used a collection of mailing lists to discuss the different aspects of their projects. Multimodal tool use, with software development and communication happening on different channels, complicates the study of open source projects as a sociotechnical system. Here, we combine and standardize mailing lists of the Python community, resulting in 954,287 messages from 1995 to the present. We share all scraping and cleaning code to facilitate reproduction of this work, as well as smaller datasets for the Golang (122,721 messages), Angular (20,041 messages) and Node.js (12,514 messages) communities. To showcase the usefulness of these data, we focus on the CPython repository and merge the technical layer (which GitHub account works on what file and with whom) with the social layer (messages from unique email addresses) by identifying 33% of GitHub contributors in the mailing list data. We then explore correlations between the valence of social messaging and the structure of the collaboration network. We discuss how these data provide a laboratory to test theories from standard organizational science in large open source projects.
Low Transmission Loss Cu Wirings with Smooth Seed Layer and High Adhesion against Prepregs

Semiconductor packages for high performance devices with printed circuit boards having multi wiring layers such as FC-BGA have been attracting the attention in order to realize ultra-reliable and low latency communications in 5G networking. Cu wirings for the package are usually fabricated by semi-additive process (SAP) with desmear process and/or modified semi-additive process (MSAP) by using Cu foil with large surface roughness. Though a desmear process and Cu foil can obtain enough adhesion between dielectric and Cu seed layer by anchoring effect to secure reliabilities, the interface between dielectric and Cu seed layer should be smooth to achieve low attenuation of electric signals at high frequencies. Here, instead of that processes, we applied an UV modification for the surface of our developed prepreg in order to realize a smooth and high adhesive seed layer against the dielectric. We also conducted chemical modification for the surface of Cu foil to achieve low attenuation of transmission loss and high adhesion against prepreg. We successfully assembled Cu wirings with L/S = 6/6 μm on prepregs by SAP. High peel strength between Cu foil and prepreg was obtained due to chemical modification for the surface of Cu foil. The normalized transmission loss of Cu wiring assembled through MSAP was improved as compared to Cu foil with rough surface.