Miracle-dz/UniFAR-FTUs huggingface dataset:
Link Prediction using Network Embedding based on Global Similarity

Background: The link prediction issue is one of the most widely used problems in complex network analysis. Link prediction requires knowing the background of previous link connections and combining them with available information. The link prediction local approaches with node structure objectives are fast in case of speed but are not accurate enough. On the other hand, the global link prediction methods identify all path structures in a network and can determine the similarity degree between graph-extracted entities with high accuracy but are time-consuming instead. Most existing algorithms are only using one type of feature (global or local) to represent data, which not well described due to the large scale and heterogeneity of complex networks. Methods: In this paper, a new method presented for Link Prediction using node embedding due to the high dimensions of real-world networks. The proposed method extracts a smaller model of the input network by getting help from the deep neural network and combining global and local nodes in a way to preserve the network's information and features to the desired extent. First, the feature vector is being extracted by an encoder-decoder for each node, which is a suitable tool for modeling complex nonlinear phenomena. Secondly, both global and local information concurrently used to improve the loss function. More obvious, the clustering similarity threshold considered as the local criterion and the transitive node similarity measure used to exploit the global features. To the end, the accuracy of the link prediction algorithm increased by designing the optimization operation accurately. Results: The proposed method applied to 4 datasets named Cora, Wikipedia, Blog catalog, Drug-drug-interaction, and the results are compared with laplacian, Node2vec, and GAE methods. Experimental results show an average accuracy achievement of 0.620, 0.723, 0.875, and 0.845 on the mentioned datasets, and confirm that the link prediction can effectively improve the prediction performance using network embedding based on global similarity.
Intrinsic neuronal excitability and spontaneous activity underlie cortical abnormalities upon Nr2f1/COUP-TFI deficiency

The formation of functionally different areas in the cerebral cortex results from a timely regulated interaction between intrinsic genetic mechanisms and electrical activity. However, whether and how transcriptional regulation influences spontaneous activity intrinsic to the neocortex during critical periods of corticogenesis is poorly elucidated. Here, we used mice deficient for cortical Nr2f1 (also known as COUP-TFI) to investigate how a genetic-determinant of somatosensory area-identity influences immature neural excitability and network activity generated within the neocortex. We found that loss of Nr2f1 alters intrinsic excitability and morphological features of pyramidal neurons during early postnatal stages. We also identified voltage-gated ion channels regulated by Nr2f1 during a critical time window of somatosensory area specification. Accordingly, Nr2f1 loss impacted on spontaneous network activity and synchronization at perinatal stages. Together, our data suggest that genetic specification of cortical area identity relies on intrinsic bioelectrical properties regulating patterns of spontaneous activity intrinsic to the neocortex.
Increased expression of IFN-γ in preeclampsia impairs human trophoblast invasion via a SOCS1/JAK/STAT1 feedback loop

The weakening of extravillous trophoblast (EVT) invasion results in shallow placenta implantation. In HTR8/SVneo cells, IFN-γ can activate STAT1 and reduce cell invasion, and suppressor of cytokine signaling (SOCS) is an important negative regulatory protein in the Janus kinase (JAK)/STAT activator pathway and has a negative feedback function on JAK/STAT1. The aim of the present study was to elucidate how SOCS1 feedback regulates JAK/STAT1 and affects EVT cell invasion, which in turn affects the development of preeclampsia (PE). MTT and Annexin V/phosphatidylserine (PS) assays were performed to evaluate the viability and apoptosis of HTR8/SVneo cells treated with IFN-γ, respectively. Wound healing and invasion assays were also conducted to measure the migratory and invasive abilities of IFN-γ-treated HTR8/SVneo cells. The mRNA and protein expression levels of genes were detected using reverse transcription-quantitative PCR and western blot analysis. Small interfering RNA knockdown of SOCS1 was used to verify the role of feedback regulation in the IFN-γ-activated JAK/STAT1 signaling pathway. IFN-γ can inhibit HTR8/SVneo migration and invasion, and promote apoptosis by increasing the expression of phosphorylated (p)-JAK, p-STAT1 and caspase3, and reducing the expression of platelet-derived growth factor receptor A and Ezrin. Furthermore, SOCS1 may negatively regulate JAK/STAT1 and affect HTR-8/SVneo invasiveness. Evaluation of clinical samples demonstrated that the expression levels of SOCS1 and IFN-γ were higher in patients with PE compared with the healthy group. Collectively, the present results indicated that IFN-γ reduced the invasion of HTR-8/SVneo cells by activating JAK/STAT1, concurrently leading to an increase in SOCS1, which negatively regulates JAK/STAT1 and eliminates the pro-inflammatory effects of IFN-γ, thus forming a feedback loop.
Luteolin alters MUC1 extracellular domain, sT antigen, ADAM-17, IL-8, IL-10 and NF-κB expression in Helicobacter pylori-infected gastric cancer CRL-1739 cells: A preliminary study

Luteolin is a natural flavonoid possessing certain beneficial pharmacological properties, including anti-oxidant, anti-inflammatory, anti-microbial and anti-cancer properties. The majority of types of gastric cancer with chronic gastritis are caused by infection with Helicobacter pylori (H. pylori). The present study evaluated the effect of luteolin on a number of selected factors that are potentially involved in gastric cancer development. The study was performed using gastric cancer CRL-1739 cells treated with 30 µM luteolin and H. pylori alone or combined. ELISA and reverse transcription PCR were used to assess the expression levels of MUC1, GalNAcα-R (Tn antigen) and NeuAcα2-3Galβ1-3GalNAc-R (sT antigen), ADAM-17, IL-8, IL-10 and NF-κB. H. pylori and luteolin independently and in combination significantly reduced the expression levels of the extracellular domain of MUC1 in gastric cancer cells compared with the untreated control cells. ADAM-17 expression was reduced by treatment with the pathogen and luteolin. Additionally, both factors reduced sT antigen expression. Treatment with 30 ≤M luteolin significantly induced IL-8 expression at the mRNA and protein level, and the mRNA expression levels of IL-10 and NF-κB compared with the control. Both H. pylori and luteolin induced IL-8 protein expression. The present preliminary results suggest that luteolin may be used to treat patients with gastric cancer.
Evaluation of interpretation methods to improve accuracy of the prenatal BACs-on-Beads™ assay in prenatal diagnosis

Prenatal BACs-on-Beads™ (PNBoBs™) technology has been approved for use in routine clinical prenatal diagnosis in numerous countries. However, the influence of data interpretation on the accuracy of the results remains to be evaluated. The present study aimed to determine the accuracy of existing data interpretation approaches and develop an optimization method to improve the performance of the PNBoBs™ assay in prenatal diagnosis. A total of 2,289 prenatal cases with known karyotypes and raw ratio data from PNBoBs™ assays were recruited for the present study. Positive results, according to the data interpretation methods used for the PNBoBs™ test, were validated against current gold-standard approaches. Statistical analyses were then performed to evaluate the accuracy of existing methods in data interpretation to provide a basis for the optimization of a follow-up approach. Among the existing methods, the ‘trimmed standard deviation threshold’ approach had the highest sensitivity and false-positive rates, with 98.1 and 4.2%, respectively. The ‘n-1 or greater probes’ rule had the highest specificity (99.7%) and the second-highest false-negative rate (11.5%). The method optimized in the present study provided a reasonable balance between sensitivity (98.1%) and specificity (99.6%) with regards to the interpretation of the data obtained from the PNBoBs™ assay. The results indicated that the present optimization method outperforms existing approaches in data interpretation for the PNBoBs™ assay, and as a result, may reduce unnecessary verification turnaround time and cost in prenatal diagnosis.
Crystal structure of the unconventional kinetochore protein Bodo saltans KKT2 central domain

Chromosome segregation in eukaryotes is driven by the kinetochore, a macromolecular protein complex that assembles onto centromeric DNA and binds spindle microtubules. Cells must tightly control the number and position of kinetochores so that all chromosomes assemble a single kinetochore. A central player in this process is the centromere-specific histone H3 variant CENP-A, which localizes specifically within centromeres and promotes kinetochore assembly. However, CENP-A is absent from several eukaryotic lineages including kinetoplastids, a group of evolutionarily divergent eukaryotes that have an unconventional set of kinetochore proteins. It remains unknown how kinetoplastids specify kinetochore positions or promote kinetochore assembly in the absence of CENP-A. Here we studied two homologous kinetoplastid kinases (KKT2 and KKT3) that localize constitutively at centromeres. KKT2 and KKT3 central domains were sufficient for centromere localization in Trypanosoma brucei. Crystal structures of the KKT2 central domain from two divergent kinetoplastids revealed a unique zinc finger domain, which promotes its kinetochore localization in T. brucei. Mutations in the equivalent zinc finger domain of KKT3 abolished its kinetochore localization and function. This study lays the foundation for understanding the mechanism of kinetochore specification and assembly in kinetoplastids.
Modification of Multiwall Carbon Nanotubes with Initiators and Macroinitiators of Atom Transfer Radical Polymerization

Functionalization on carbon nanotube (CNT) was performed through the addition reaction between the initiators of atom transfer radical polymerization (ATRP) and CNT. The ATRP initiating groups transferred to the CNT surface with this reaction. The modified CNT then served as an ATRP macroinitiator for further modification. Both linear poly(styrene) and V-shaped poly(styrene-b-N-isopropylacrylamide) block copolymers were therefore covalently bound to the CNT surface. Characterization on the functionalized CNTs was performed with FTIR, Raman spectroscopy, and an X-ray photoelectron spectrophotometer (XPS). The functionalized CNTs exhibited good solubility in organic solvents. In addition, amphiphilic and temperature-responsive properties were observed with the CNTs functionalized with poly(styrene-b-N-isopropylacrylamide).
Matching the forecast horizon with the relevant ecological processes

Most models used to generate ecological forecasts take either a time-series approach, based on long-term data from one location, or a space-for-time approach, based on data describing spatial patterns across environmental gradients. Here we consider how the forecast horizon determines whether the most accurate predictions come from the time-series approach, the space-for-time approach, or a combination of the two. We use two simulation case studies to show that forecasts for short and long-time scales need to focus on different ecological processes, which are reflected in different kinds of data. In the short-term, dynamics reflect initial conditions and fast processes such as birth and death, and the phenomenological time-series approach makes the best predictions. In the long-term, dynamics reflect the additional influence of slower processes such as evolutionary and ecological selection, colonization and extinction, which the space-for-time approach can effectively capture. At intermediate time-scales, a weighted average of the two approaches shows promise. However, making this weighted model operational will require new research to predict the rate at which slow processes begin to influence dynamics.
π-Conjugated poly(dithiafulvene)s and poly(diselenafulvene)s: Effects of side alkyl chains on optical, electrochemical, and conducting properties

Electron-donating π-conjugated polymers with dithiafulvene moiety (4) or with diselenafulvene moiety (5) were prepared by cycloaddition polymerization of chalcogenoketenes derived from aromatic diynes (3). The solubilities of the polymers strongly depended on the structures. The diselenafulvene polymers (5) showed lower solubilities than the corresponding dithiafulvene polymers (4). Attachment of long alkyl chains enhanced the solubilties in nonpolar solvents. The structures of the polymers were confirmed by IR and 1 H NMR spectra. UV-vis measurements indicated that π-conjugations of the polymers were expanded; in particular, those of polymers containing the long alkoxy side chains were developed effectively. All the polymers showed electron-donating properties in cyclic voltammometry measurements and formed soluble charge-transfer complexes with 7,7,8,8-tetracyano-p-quinodimethane (TCNQ). After the complexation with TCNQ, the conductivities of the polymers increased.
The general public new views on deceased organ donation in China

Supplemental Digital Content is available in the text Abstract Background: The organ donation in China has developed rapidly since fully launched donations after citizens death in 2015. This study was conducted to evaluate how the Chinese general public views changed on deceased organ donation, and to improve the donation process. Methods: A total of 110 eligible studies, including 103, 410 individuals, were selected to analyze through searching PubMed, CBMdisc, CQVIP, CNKI, and Wanfang Data from Jan 1, 1990 to May 31, 2019. The pooled proportions (and 95% CIs) of cognition, attitudes and willingness related to organ donation were calculated using the Freeman–Tukey double arcsine transformation. Results: The pooled proportions of knowing about organ donation and willing to donate increased from 84.6% (73.0–93.4) and 32.4% (23.9–41.6) before 2015, to 86.4% (74.5–95.1) and 39.9% (32.8–47.2) after 2015, respectively. The willingness to posthumous organ donation for cornea, heart, kidney, and liver had a significant improvement. Especially, the proportion of willingness to donate cornea increased to 56.0% (43.3–68.3) after 2015, from 39.2% (31.2–47.4) before 2015. However, although 69.7% (62.7–76.4) of participants approved the deceased organ donation, only 35.6% (29.7–41.8) and 43.9% (37.2–50.8) were willing to donate their own and relatives organs postmortem, respectively. The leading reasons for refraining from donating organs postmortem were distrusting the medical professionals (49.8%, 35.2–64.4) and traditional Chinese values (40.6%, 32.4–49.0). Popularizing knowledge about organ donation (61.5%, 45.7–76.1), humanitarian aid (57.1%, 48.8–65.3), and priority of using donated organs for relatives (53.1%, 30.8–74.7) were the applauded strategies to improve the willingness to posthumous organ donation. Conclusions: The willingness toward posthumous organ donation has a significant improvement among Chinese general public since 2015, however, several important measures still need to be taken to promote the favorable attitudes and willingness toward organ donation.
Metal artifacts reduction in computed tomography: A phantom study to compare the effectiveness of metal artifact reduction algorithm, model-based iterative reconstruction, and virtual monochromatic imaging

Abstract The purpose of this study was to compare the effectiveness of a metal artifact reduction algorithm (MAR), model-based iterative reconstruction (MBIR), and virtual monochromatic imaging (VMI) for reducing metal artifacts in CT imaging. A phantom study was performed for quantitatively evaluating the dark bands and fine streak artifacts generated by unilateral hip prostheses. Images were obtained by conventional scanning at 120 kilovolt peak, and reconstructed using filtered back projection, MAR, and MBIR. Furthermore, virtual monochromatic images (VMIs) at 70 kilo-electron volts (keV) and 140 keV with/without use of MAR were obtained by dual-energy CT. The extents and mean CT values of the dark bands and the differences in the standard deviations and location parameters of the fine streak artifacts evaluated by the Gumbel method in the images obtained by each of the methods were statistically compared by analyses of variance. Significant reduction of the extent of the dark bands was observed in the images reconstructed using MAR than in those not reconstructed using MAR (all, P < .01). Images obtained by VMI at 70 keV and 140 keV with use of MAR showed significantly increased mean CT values of the dark bands as compared to those obtained by reconstructions without use of MAR (all, <.01). Significant reduction of the difference in the standard deviations used to evaluate fine streak artifacts was observed in each of the image sets obtained with VMI at 140 keV with/without MAR and conventional CT with MBIR as compared to the images obtained using other methods (all, P < .05), except between VMI at 140 keV without MAR and conventional CT with MAR. The location parameter to evaluate fine streak artifacts was significantly reduced in CT images obtained using MBIR and in images obtained by VMI at 140 keV with/without MAR as compared to those obtained using other reconstruction methods (all, P < .01). In our present study, MAR appeared to be the most effective reconstruction method for reducing dark bands in CT images, and MBIR and VMI at 140 keV appeared to the most effective for reducing streak artifacts.
Coordinating Dynamic Personalized Pricing and Inventory Decisions

Due to the availability of data-driven customer profiling, many firms (e.g., Amazon) have adopted personalized pricing in practice. We consider a joint dynamic personalized pricing-inventory control problem for a firm that sells a single product to multiple customer segments over a finite selling season. In each period, the demand of each customer segment is stochastic and price-dependent, and any unsatisfied demand is backordered. The firm's objective is to decide on the personalized pricing and ordering policies in order to maximize the expected profit over the planning horizon. We find that, under the mixture of additive and multiplicative demand models, a base-stock personalized price (BSPP) policy is optimal. For the special case with only the additive (resp. multiplicative) demand model, we derive a sequential property that is determined by the (resp. normalized) marginal revenues of different customer segments. Moreover, when the demands are linearly price-dependent under the additive demand model, a uniform adjustment policy for personalized pricing is optimal. Exploiting the BSPP policy, we further provide sufficient conditions (i.e., stationary parameter settings) under which a myopic policy is optimal. Our results provide guidelines for firms on how to coordinate personalized pricing and inventory in practice. We also numerically investigate the benefits of personalized pricing and compare it with uniform pricing. We find that personalized pricing can reap significant benefits (e.g., increasing profit up to 30%). Finally, we show that our results are robust to the settings with correlated demands and limited capacities.
Thermally Reversible Cross‐Linked Polyamides with High Toughness and Self‐Repairing Ability from Maleimide‐ and Furan‐Functionalized Aromatic Polyamides

Polyamides having various amounts of maleimide (PA-MI) and furan (PA-F) pendent groups, respectively, as well as their cross-linked polymers (PA-MI/PA-F) were prepared. PA-MI/PA-F cross-linked polymers showed thermally reversible cross-linking behavior via Diels-Alder (DA) and retro-DA reactions. Cross-linked PA-MI/PA-F films exhibited enhanced toughness and mechanical properties compared to PA-MI and PA-F precursors. Moreover, PA-MI/PA-F films also showed thermal self-repairing behavior, which was observed in the micrographs and instron tests.
Pain Prevalence, Localization, and Intensity in Adults with and without COPD: Results from the Danish Health and Morbidity Survey (a Self-reported Survey)

Introduction Pain is a clinical complication to chronic obstructive pulmonary disease (COPD) that interferes negatively with physical activity level (PAL), quality of life (QOL) and pulmonary interventions. Yet, research in pain characteristics including prevalence, localization, and intensity in people with COPD are sparsely researched. Aim To investigate self-reported pain prevalence, localization and intensity of pain in people with and without COPD, and to investigate the association between pain intensity and PAL among participants with COPD. Methods Data were derived from the Danish Health and Morbidity Survey in 2017. The study population was restricted to individuals aged ≥35 years. Data included pain intensity assessed on the Numeric Rating Scale (NRS) and localization, PAL, QoL, sleep disturbance, comorbidities, sociodemographic and behavioral factors. Results In all, 528 participants with COPD and 8184 participants without COPD (51% females, mean ±SD age 67.1±11.4 years) were analyzed. Pain prevalence within the past 14 days was significantly higher in participants with COPD vs nonCOPD (72.7% vs 57.7%, p<0.001) and mainly located in the limbs, thorax, and lower back. COPD was associated with the prevalence of chronic pain (≥6 months) (OR: 2.78, 95%CI: 2.32; 3.34, p<0.001). Participants with COPD reported a higher pain intensity compared to those with nonCOPD with a mean difference of 1.04 points (95%CI: 0.75; 1.32, p<0.001) on the NRS. In the adjusted multiple logistic regression analysis, pain intensity was negatively associated with odds of being physical active (OR: 0.72, 95%CI: 0.61; 0.85, p<0.001). Conclusion Pain is more prevalent in people with self-reported COPD. After adjustment for age and gender, COPD was associated with an elevated pain intensity. Sleep disturbance and multimorbidity had the most pronounced impacts on pain intensity in the multiple linear regression model. In participants with COPD, increased pain intensity was negatively associated with being physically active.
An experimental test of green management information system effects on carrier selection: weigh station and tollbooth bypass technology adoption

In a highly competitive price-driven industry, carriers are continuously searching for opportunities to differentiate their offerings, minimize operational costs, and appeal to shippers. At the same time, environmental sustainability has evolved from being trendy jargon into a requirement for competitive supply chain management. It is at the intersection of these two modern topics that the current study identifies a new carrier selection attribute based on a specialized type of green management information system. We apply social exchange theory to hypothesize carrier price and green technology adoption effects on shipper purchase intent. The hypothesized direct and interaction effects are tested by way of a vignette-based experiment, with a sample of full-time working professionals. The supported hypotheses collectively suggest that the adoption of weigh station and tollbooth bypass technology, as a type of environmentally sustainable information system, positively affects transportation carrier selection and attenuates the negative effect of a carrier’s price on shippers’ purchase intentions. These research findings offer unique theoretical, practical, and policy implications surrounding the trucking carrier selection decision.