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Objective: To identify the risk factors for relapse of idiopathic inflammatory myopathies (IIMs). Methods: Patients who were newly diagnosed with IIMs and underwent muscle biopsy between 2000 and 2017 at Asan Medical Center were retrospectively reviewed. The relapse of IIMs was defined as the recurrence of muscle or cutaneous manifestations with a ≥50% increase in glucocorticoid dosage after reaching the low-dose glucocorticoid phase with clinically significant improvement. The factors associated with the relapse of IIMs were investigated by Cox proportional hazards analysis. Results: Of 105 patients with IIMs, relapse was observed in 65 patients (62%). The titer of antinuclear antibody (ANA) was higher in the relapse group than in the non-relapse group (P = 0.033). Multivariable analysis showed that the relapse of IIMs was significantly associated with histopathologic features consistent with IIMs (hazard ratio [HR], 1.69; 95% confidence interval [CI], 1.01–2.83, P = 0.045) and the use of immunosuppressants before relapse (HR, 0.50; 95% CI, 0.29–0.86, P = 0.013). Doubling of ANA titer was also associated with relapse, albeit without statistical significance (HR, 1.13; 95% CI, 1.00–1.27, P = 0.052). Conclusion: In patients with IIMs, the use of immunosuppressants had a significant negative association with relapse. Administering immunosuppressants from the early period during the initial glucocorticoid tapering phase may be useful in reducing the risk of relapse in patients with IIMs. Key Points • Since idiopathic inflammatory myopathies (IIMs) have a low prevalence, it is poorly understood which factors are associated with the relapse of IIMs. • In this study, about two-thirds of 105 patients with IIMs experienced a relapse of IIMs. • The risk of relapse in patients with IIMs was negatively associated with the use of immunosuppressants during glucocorticoid tapering and low-dose glucocorticoid phase. • Even in less severe cases, the use of immunosuppressants might be a good option for the management of IIMs. [ABSTRACT FROM AUTHOR]

Many have pondered whether happiness is chiefly made of positive feelings and joy (hedonism) or by acquiring meaning via self-actualization (eudaimonism). Drawing on life history theory, we examined if individuals’ early-life experience (i.e., childhood socioeconomic status; SES) colors their notions of well-being. A consistent pattern was found in two studies (Study 1, N = 183; Study 2, N = 168) using MTurk samples; wealthier childhood upbringing predicted stronger endorsement of eudaimonic happiness. This pattern, supporting claims of life history theory, emerged only when perceptions of (economic) instability was salient (chronic, Study 1; experimentally primed, Study 2). Also, only childhood SES, but not current SES, mattered. This research finds novel evidence that childhood experience and current threat perception may interact to shape people’s ideals of happiness. [ABSTRACT FROM AUTHOR]

This study aimed to create Greenhouse Gas - Air Pollution Interactions and Synergies (GAINS)-Korea, an integrated model for evaluating climate and air quality policies in Korea, modeled after the international GAINS model. GAINS-Korea incorporates specific Korean data and enhances granularity for enabling local government-level analysis. The model includes source-receptor matrices used to simulate pollutant dispersion in Korea, generated through CAMx air quality modeling. GAINS-Korea's performance was evaluated by examining different scenarios for South Korea. The business as usual scenario projected emissions from 2010 to 2030, while the air quality scenario included policies to reduce air pollutants in line with air quality and greenhouse gas control plans. The maximum feasible reduction scenario incorporated more aggressive reduction technologies along with air quality measures. The developed model enabled the assessment of emission reduction effects by both greenhouse gas and air pollutant emission reduction policies across 17 local governments in Korea, including changes in PM2.5 (particulate matter less than 2.5 μm) concentration and associated benefits, such as reduced premature deaths. The model also provides a range of visualization tools for comparative analysis among different scenarios, making it a valuable resource for policy planning and evaluation, and supporting decision-making processes. [ABSTRACT FROM AUTHOR]

Nucleotide excision repair removes DNA lesions caused by ultraviolet light, cisplatin-like compounds and bulky adducts1. After initial recognition by XPC in global genome repair or a stalled RNA polymerase in transcription-coupled repair, damaged DNA is transferred to the seven-subunit TFIIH core complex (Core7) for verification and dual incisions by the XPF and XPG nucleases2. Structures capturing lesion recognition by the yeast XPC homologue Rad4 and TFIIH in transcription initiation or DNA repair have been separately reported3–7. How two different lesion recognition pathways converge and how the XPB and XPD helicases of Core7 move the DNA lesion for verification are unclear. Here we report on structures revealing DNA lesion recognition by human XPC and DNA lesion hand-off from XPC to Core7 and XPA. XPA, which binds between XPB and XPD, kinks the DNA duplex and shifts XPC and the DNA lesion by nearly a helical turn relative to Core7. The DNA lesion is thus positioned outside of Core7, as would occur with RNA polymerase. XPB and XPD, which track the lesion-containing strand but translocate DNA in opposite directions, push and pull the lesion-containing strand into XPD for verification.Cryo-electron microscopy structures reveal how XPC recognizes DNA lesions and recruits XPA and the TFIIH core complex for lesion verification in nucleotide excision repair. [ABSTRACT FROM AUTHOR]

In environments where dynamic or unknown obstacles exist, a robot needs to use collision avoidance algorithms to protect itself and provide personal safety. Recently, many researchers have used machine learning techniques to study obstacle avoidance in dynamic environments. However, these studies are insufficient for providing a velocity model for actual driving because of the limited number of motions and parameters tuning according to environmental changes. This paper proposes an algorithm that combines the dynamic window approach (DWA) and deep reinforcement learning to build a velocity model to avoid obstacles. This method adds and subtracts the linear and angular velocities of the robot from the DWA calculations using the designed learning module. Through this configuration, many robotic motions can be generated even with limited action functions. In our experiments, the application of this learning module showed a 23.7% higher rate of obstacle avoidance than with DWA alone. The experimental results verified that the proposed method improved the performance of obstacle avoidance for multiple dynamic environments without any additional work. It has been confirmed that this method can be applied to real robots as well. [ABSTRACT FROM AUTHOR]

Objective: Connective tissue disease (CTD) might occur during the course of idiopathic pulmonary fibrosis (IPF). Clinical factors associated with CTD development in IPF patients have still not been identified. We investigated which antibodies have a significant association with the development of CTD during the clinical course of IPF. Methods: We retrospectively reviewed the records of 527 patients with a first diagnosis of IPF between January 2007 and March 2014 and investigated the time to CTD development after IPF diagnosis in these patients. Results: CTD developed in 15 patients at a median of 2.1 years (range 1.2–4.8) after IPF diagnosis. All patients had anti-neutrophil cytoplasmic antibodies (ANCA) or autoantibodies that met the serology criteria for interstitial pneumonia with autoimmune features (IPAF). Survival duration for IPF patients with progression to CTD was 5.3 (3.8, 6.7) years, which was significantly longer than for IPF patients without progression to CTD [2.9 (1.7, 4.8), p = 0.001]. Independent risk factors for CTD development in IPF patients included female gender [adjusted hazard ratio (HR) 5.319, p = 0.0082], titer of rheumatoid factor (RF; adjusted HR, 1.006; p = 0.022), titer of anti-citrullinated protein antibody (ACPA; adjusted HR, 1.009; p = 0.0011), and titer of myeloperoxidase (MPO)-ANCA (adjusted HR, 1.02; p < 0.0001). Conclusion: Progression to CTD is uncommon in IPF patients. However, a significant number of IPF patients with high titers of RF, ACPA, or MPO-ANCA progressed to CTD. RF, ACPA, and MPO-ANCA might be significantly associated with CTD development in IPF patients. Key Points • A significant number of IPF patients with high titers of RF, ACPA, or MPO-ANCA progressed to CTD. • IPF/UIP with high titers of RF, ACPA, or MPO-ANCA might be the initial clinical manifestation of CTD. • RF, ACPA, and MPO-ANCA may be significantly associated with the development of pulmonary fibrosis in patients with CTD. [ABSTRACT FROM AUTHOR]

How can we evaluate the performance of a disambiguation method implemented on big bibliographic data? This study suggests that the open researcher profile system, ORCID, can be used as an authority source to label name instances at scale. This study demonstrates the potential by evaluating the disambiguation performances of Author-ity2009 (which algorithmically disambiguates author names in MEDLINE) using 3 million name instances that are automatically labeled through linkage to 5 million ORCID researcher profiles. Results show that although ORCID-linked labeled data do not effectively represent the population of name instances in Author-ity2009, they do effectively capture the 'high precision over high recall' performances of Author-ity2009. In addition, ORCID-linked labeled data can provide nuanced details about the Author-ity2009's performance when name instances are evaluated within and across ethnicity categories. As ORCID continues to be expanded to include more researchers, labeled data via ORCID-linkage can be improved in representing the population of a whole disambiguated data and updated on a regular basis. This can benefit author name disambiguation researchers and practitioners who need large-scale labeled data but lack resources for manual labeling or access to other authority sources for linkage-based labeling. The ORCID-linked labeled data for Author-ity2009 are publicly available for validation and reuse. [ABSTRACT FROM AUTHOR]

We report the effect of variation of the channel width-to-length aspect ratio on the negative bias stress instability and the impact of the source/drain contact resistance on the electrical properties of amorphous-InGaZnO (IGZO) thin-film transistor (TFT) arrays. An asymmetric degradation of the threshold voltage (Vth) was observed over a wide range of negative stress bias in the IGZO TFT arrays. The lowest ∆Vth of 0.8 V and good stability with an increase in stress time were observed for the array having the channel aspect ratio of ~ 1.5, whereas the highest ∆Vth of 5.2 V was observed for the array having the channel aspect ratio of ~ 2.5. The drain-induced barrier lowering (DIBL) mechanism and the transmission line method (TLM) were used to investigate this abnormal degradation. The maximum DIBL of 50.2 mV/V was calculated for the array having a channel width/length of 4.4/11 μm. Application of the TLM revealed a channel resistance of 10.4 kΩ μm at a small gate bias of 0.5 V. Degradation of the electrical properties was observed for the array having an aspect ratio of 2.5 owing to poor ohmic contact with the channel. This investigation suggests that proper selection of the aspect ratio is important in the design of small-scale TFT arrays, as it can help to reduce the degradation of the electrical properties at a smaller dimension. Short-channel effects such as electron trapping and parasitic resistances can be minimized via improvement of the bias stress instability by use of a width-to-length aspect ratio of ~ 1.5. The findings in this report are beneficial for designing ultra-high-definition active-matrix displays. [ABSTRACT FROM AUTHOR]

The emission of pollution from Chinese point sources, and its migration to Korea, downwind of China, is an important issue in terms of Korean air quality management. Therefore, this study intended to improve the Asian Emission Inventory, NIER/KU-CREATE, by improving information about the point source emissions, their location, and discharge conditions, in China. By using the Global dataset, we can establish point source location information for Coal Power Plants and Non-Coal Power Plants in the Chinese power sector, and calculate and allocate emissions in the inventory. In addition, the emission inventory of NH3, as a by-product of NOx abatement processing, was regarded as being insufficiently characterized in the previous emission inventory, and has been re-estimated. As a result, 3798 LPSs in China were identified, and NH3 emissions from those power plants have increased significantly. In addition, the vertical distribution of emissions through the allocation stack height parameters showed atmospheric injection heights of between 250 m and 1000 m. Using this information, HY-SPLIT trajectory modeling found that during periods of active westerly from China to Korea, emissions from the higher injection height were more prone to move towards Korea, than those from the lower height. [ABSTRACT FROM AUTHOR]

The scientific significance of excited-state aromaticity concerns with the elucidation of processes and properties in the excited states. Here, we focus on TMTQ, an oligomer composed of a central 1,6-methano[10]annulene and 5-dicyanomethyl-thiophene peripheries (acceptor-donor-acceptor system), and investigate a two-electron transfer process dominantly stabilized by an aromatization in the low-energy lying excited state. Our spectroscopic measurements quantitatively observe the shift of two π-electrons between donor and acceptors. It is revealed that this two-electron transfer process accompanies the excited-state aromatization, producing a Baird aromatic 8π core annulene in TMTQ. Biradical character on each terminal dicyanomethylene group of TMTQ allows a pseudo triplet-like configuration on the 8π core annulene with multiexcitonic nature, which stabilizes the energetically unfavorable two-charge separated state by the formation of Baird aromatic core annulene. This finding provides a comprehensive understanding of the role of excited-state aromaticity and insight to designing functional photoactive materials. Excited state aromaticity gives rise to unique photophysical properties which may aid the design of functional photoactive materials. Here, the authors spectroscopically characterize an acceptor-donor-acceptor system featuring a two-electron transfer process stabilized by aromatization in the lower energy excited state. [ABSTRACT FROM AUTHOR]

Clustering results in author name disambiguation are often evaluated by measures such as Cluster-F, K-metric, Pairwise-F, Splitting and Lumping Error, and B-cubed. Although these measures have different evaluation approaches, this paper shows that they can be calculated in a single framework by a set of common steps that compare truth and predicted clusters through two hash tables recording information about name instances with their predicted cluster indices and frequencies of those indices per truth cluster. This integrative calculation reduces greatly calculation runtime, which is scalable to a clustering task involving millions of name instances within a few seconds. During the integration process, B-cubed and K-metric are shown to produce the same precision and recall scores. In addition, name instance pairs for Pairwise-F are counted using a heuristic, which enables the proposed method to surpass a state-of-the-art algorithm in speedy calculation. Details of the integrative calculation are described with examples and pseudo-code to assist scholars to implement each measure easily and validate the correctness of implementation. The integrative calculation will help scholars compare similarities and differences of multiple measures before they select ones that characterize best the clustering performances of their disambiguation methods. [ABSTRACT FROM AUTHOR]

Link prediction in collaboration networks is often solved by identifying structural properties of existing nodes that are disconnected at one point in time, and that share a link later on. The maximally possible recall rate or upper bound of this approach's success is capped by the proportion of links that are formed among existing nodes embedded in these properties. Consequentially, sustained links as well as links that involve one or two new network participants are typically not predicted. The purpose of this study is to highlight formational constraints that need to be considered to increase the practical value of link prediction methods targeted for collaboration networks. In this study, we identify the distribution of basic link formation types based on four large-scale, over-time collaboration networks, showing that roughly speaking, 25% of links represent continued collaborations, 25% of links are new collaborations between existing authors, and 50% are formed between an existing author and a new network member. This implies that for collaboration networks, increasing the accuracy of computational link prediction solutions may not be a reasonable goal when the ratio of collaboration links that are eligible to the classic link prediction process is low. [ABSTRACT FROM AUTHOR]

To train algorithms for supervised author name disambiguation, many studies have relied on hand-labeled truth data that are very laborious to generate. This paper shows that labeled data can be automatically generated using information features such as email address, coauthor names, and cited references that are available from publication records. For this purpose, high-precision rules for matching name instances on each feature are decided using an external-authority database. Then, selected name instances in target ambiguous data go through the process of pairwise matching based on the rules. Next, they are merged into clusters by a generic entity resolution algorithm. The clustering procedure is repeated over other features until further merging is impossible. Tested on 26 K instances out of the population of 228 K author name instances, this iterative clustering produced accurately labeled data with pairwise F1 = 0.99. The labeled data represented the population data in terms of name ethnicity and co-disambiguating name group size distributions. In addition, trained on the labeled data, machine learning algorithms disambiguated 24 K names in test data with performance of pairwise F1 = 0.90-0.92. Several challenges are discussed for applying this method to resolving author name ambiguity in large-scale scholarly data. [ABSTRACT FROM AUTHOR]

In supervised machine learning for author name disambiguation, negative training data are often dominantly larger than positive training data. This paper examines how the ratios of negative to positive training data can affect the performance of machine learning algorithms to disambiguate author names in bibliographic records. On multiple labeled datasets, three classifiers—Logistic Regression, Naïve Bayes, and Random Forest—are trained through representative features such as coauthor names, and title words extracted from the same training data but with various positive-to-negative training data ratios. Results show that increasing negative training data can improve disambiguation performance but with a few percent of performance gains and sometimes degrade it. Logistic and Naïve Bayes learn optimal disambiguation models even with a base ratio (1:1) of positive and negative training data. Also, the performance improvement by Random Forest tends to quickly saturate roughly after 1:10~1:15. These findings imply that contrary to the common practice using all training data, name disambiguation algorithms can be trained using part of negative training data without degrading much disambiguation performance while increasing computational efficiency. This study calls for more attention from author name disambiguation scholars to methods for machine learning from imbalanced data. [ABSTRACT FROM AUTHOR]

Author name ambiguity in a digital library may affect the findings of research that mines authorship data of the library. This study evaluates author name disambiguation in DBLP, a widely used but insufficiently evaluated digital library for its disambiguation performance. In doing so, this study takes a triangulation approach that author name disambiguation for a digital library can be better evaluated when its performance is assessed on multiple labeled datasets with comparison to baselines. Tested on three types of labeled data containing 5000 to 6 M disambiguated names, DBLP is shown to assign author names quite accurately to distinct authors, resulting in pairwise precision, recall, and F1 measures around 0.90 or above overall. DBLP’s author name disambiguation performs well even on large ambiguous name blocks but deficiently on distinguishing authors with the same names. Compared to other disambiguation algorithms, DBLP’s disambiguation performance is quite competitive, possibly due to its hybrid disambiguation approach combining algorithmic disambiguation and manual error correction. A discussion follows on strengths and weaknesses of labeled datasets used in this study for future efforts to evaluate author name disambiguation on a digital library scale. [ABSTRACT FROM AUTHOR]

Abstract: We report a micromachined H2 sensor that is composed of a Pt micro-heater, low-stress insulating layer (SiO2/SiNx/SiO2), Pt-interdigitated electrodes, and gas sensing materials. Three types of Pt micro-heater are designed as function of electrode width, and their thermal properties are systematically analyzed by finite element modeling FEM with infrared camera. The power consumptions when the surface temperature reached 150, 200, 250, and 300 °C are calculated to approximately 33, 48, 67 and 85 mW, respectively. The response of the PdO nanoparticles-decorated TiO2 thin films to H2 is much higher than those of other gases such as CH4 and CO at 200 °C (48 mW). Further, the response time is reduced to approximately 3 s. The enhancement of gas sensing properties is related to well-designed micro-heater and catalytic effects of PdO nanoparticles such as electronic and chemical sensitization. These results suggest that the PdO nanoparticles-decorated TiO2 thin film, namely MEMS-based H2 sensors are very promising for use in IoT application to improve the quality of human’s life.Graphical Abstract: [ABSTRACT FROM AUTHOR]

There is a continuing attempt to study cell to cell interactions to control the growth, function, and differentiation of cells. One approach that can be utilized to assess representative cell to cell interactions is by using three-dimensional cell spheroids, also referred to as cell aggregates, generated by adhering cells to each other through cell-adhesion molecules such as cadherin. Compared with conventional two-dimensional cell monolayer, cell spheroid offers more realistic platform to predict cell behavior in high-throughput manner. To recapitulate the cell spheroid formation in vitro, microwell-mediated culture system has become a robust and efficient tool for providing uniform-sized spheroids. In this review, we first iterate the recent developments and innovations in microwell-mediated cell culture platform, focusing on formation and function of cell spheroids using various cells such as embryonic stem cells, postnatal stem cells, and somatic cells. Furthermore, the recent advancements in applications of cell spheroids generated from microwell-mediated culture system is covered in this article. The discussion on the integrative biology regarding cell to cell interaction and other biological events in cell spheroid is another focal point of this review. [ABSTRACT FROM AUTHOR]

Objective: To compare the clinical effectiveness of two treatment strategies for active rheumatoid arthritis (RA) refractory to conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs): starting TNF inhibitors (TNFIs) or changing csDMARDs. Methods: We used two nationwide Korean RA registries for patient selection. TNFI users were selected from the BIOPSY, which is an inception cohort of RA patients starting biologic DMARDs. As a control group, we selected RA patients with moderate or high disease activity from the KORONA database whose treatment was changed to other csDMARDs. After comparing baseline characteristics between the two groups in either unmatched or propensity score matched cohorts, we compared potential differences in the 1-year remission rate as a primary outcome and changes in HAQ-DI and EQ-5D scores as secondary outcomes. Results: A total of 356 TNFI starters and 586 csDMARD changers were identified from each registry as unmatched cohorts, and 294 patients were included in the propensity score matched cohort. In the intention-to-treat analysis, TNFI starters had higher 1-year remission rates than csDMARD changers in both unmatched (19.1 vs. 18.4%, p < 0.01) and matched cohorts (19.7 vs. 15.0%, p < 0.01). In per protocol analysis, TNFI starters had much higher remission rates in unmatched (37.2 vs. 28.0%, p = 0.04) and matched cohorts (35.4 vs. 19.1%, p = 0.04). However, in matched cohorts, no significant differences were observed between two groups in HAQ-DI and EQ-5D scores. Conclusions: We compared the clinical effectiveness of the two treatment strategies for active RA refractory to csDMARDs. TNFI starters showed higher 1-year remission rates than csDMARD changers. [ABSTRACT FROM AUTHOR]

Applying the concept of triadic closure to coauthorship networks means that scholars are likely to publish a joint paper if they have previously coauthored with the same people. Prior research has identified moderate to high (20 to 40%) closure rates; suggesting this mechanism is a reasonable explanation for tie formation between future coauthors. We show how calculating triadic closure based on prior operationalizations of closure, namely Newman's measure for one-mode networks (NCC) and Opsahl's measure for two-mode networks (OCC) may lead to higher amounts of closure compared to measuring closure over time via a metric that we introduce and test in this paper. Based on empirical experiments using four large-scale, longitudinal datasets, we find a lower bound of 1-3% closure rates and an upper bound of 4-7%. These results motivate research on new explanatory factors for the formation of coauthorship links. [ABSTRACT FROM AUTHOR]

The aim of this study was to estimate the mapping model for EuroQol-5D (EQ-5D) utility values using the health assessment questionnaire disability index (HAQ-DI), pain visual analog scale (VAS), and disease activity score in 28 joints (DAS28) in a large, nationwide cohort of rheumatoid arthritis (RA) patients in Korea. The KORean Observational study Network for Arthritis (KORONA) registry data on 3557 patients with RA were used. Data were randomly divided into a modeling set (80 % of the data) and a validation set (20 % of the data). The ordinary least squares (OLS), Tobit, and two-part model methods were employed to construct a model to map to the EQ-5D index. Using a combination of HAQ-DI, pain VAS, and DAS28, four model versions were examined. To evaluate the predictive accuracy of the models, the root-mean-square error (RMSE) and mean absolute error (MAE) were calculated using the validation dataset. A model that included HAQ-DI, pain VAS, and DAS28 produced the highest adjusted R as well as the lowest Akaike information criterion, RMSE, and MAE, regardless of the statistical methods used in modeling set. The mapping equation of the OLS method is given as EQ-5D = 0.95−0.21 × HAQ-DI−0.24 × pain VAS/100-0.01 × DAS28 (adjusted R = 57.6 %, RMSE = 0.1654 and MAE = 0.1222). Also in the validation set, the RMSE and MAE were shown to be the smallest. The model with HAQ-DI, pain VAS, and DAS28 showed the best performance, and this mapping model enabled the estimation of an EQ-5D value for RA patients in whom utility values have not been measured. [ABSTRACT FROM AUTHOR]

This study investigates the evolution and structure of a national-scale co-publishing network in Korea from 1948 to 2011. We analyzed more than 700,000 papers published by approximately 415,000 authors for temporal changes in productivity and network properties with a yearly resolution. The resulting statistical properties were compared to findings from previous studies of coauthorship networks at the national and discipline levels. Our results show that both the numbers of publications and authors in Korea have grown exponentially in a 64 year time frame. Korean scholars have become more productive and collaborative. They now form a small-world-ish network where most authors can connect with one other within an average of 5.33 degrees of separation. The increasingly skewed distribution and concentration of both productivity and the number of collaborators per author indicate that a relatively small group of individuals have accumulated a large number of opportunities for co-publishing. This implies a potential vulnerability for the network and its wider context: the graph would disintegrate into a multitude of smaller components, where the largest one would contain <2 % of all authors, if approximately 15 % (57,724) of the most connected scholars left the network, e.g., due to retirement or promotion to higher-level administrative positions. [ABSTRACT FROM AUTHOR]

Finite element analysis of functionally graded plates based on a general third-order shear deformation plate theory with a modified couple stress effect and the von Kármán nonlinearity is carried out to bring out the effects of couple stress, geometric nonlinearity and power-law variation of the material composition through the plate thickness on the bending deflections of plates. The theory requires no shear correction factors. The principle of virtual displacements is utilized to develop a nonlinear finite element model. The finite element model requires C continuity of all dependent variables. The microstructural effects are captured using a length scale parameter via the modified couple stress theory. The variation of two-constituent material is assumed through the thickness direction according to a power-law distribution. Numerical results are presented for static bending problems of rectangular plates with various boundary conditions to bring out the parametric effects of the power-law index and length scale parameter on the load-deflection characteristics of plates with various boundary conditions. [ABSTRACT FROM AUTHOR]

Although chronic kidney disease (CKD) may constitute a chronic inflammatory state indicated by elevated inflammatory mediators such as tumor necrosis factor alpha (TNF-α), the impact of anti-TNF-α therapy on progression of CKD in patients with rheumatoid arthritis (RA) is unclear. Seventy patients with RA and CKD were retrospectively analyzed. Outcomes were evaluated using the difference in the annual change of estimated glomerular filtration rate (eGFR) between patients treated with anti-TNF-α or without. Anti-TNF-α therapy significantly decreased disease activity score (DAS) 28 from 5.32 ± 0.78 to 3.59 ± 0.85 ( p < 0.001). There was a tendency toward stabilization of eGFR after a mean of 2.9 ± 1.1 years from 50.3 ± 8.4 ml/min/1.73 m to 54.5 ± 16.0 ml/min/1.73 m in patients received anti-TNF-α therapy along with decreased DAS28 ( p = 0.084). Conversely, eGFR decreased significantly in patients not receiving anti-TNF-α therapy after a mean of 2.8 ± 1.7 years from 52.6 ± 7.5 ml/min/1.73 m to 46.5 ± 11.5 ml/min/1.73 m ( p = 0.041) without significant DAS28 change ( p = 0.078). The annual change of eGFR was significantly different between patients treated with anti-TNF-α drugs and without (2.0 ± 7.0 ml/min/1.73 m/year vs. −1.9 ± 4.0 ml/min/1.73 m/year; difference in mean vs. −3.9 ± 7.3 ml/min/1.73 m/year; p = 0.006). Use of anti-TNF-α drugs was significantly associated with positive annual change of eGFR in multivariate logistic regression analysis ( p = 0.019). Among patients with RA and CKD, treatment with anti-TNF-α drugs was associated with less renal function decline. Anti-TNF-α drugs may be beneficial for managing RA combined with CKD. [ABSTRACT FROM AUTHOR]

We introduce and evaluate a novel network-based approach for determining individual credit of coauthors in multi-authored papers. In the proposed model, coauthorship is conceptualized as a directed, weighted network, where authors transfer coauthorship credits among one another. We validate the model by fitting it to empirical data about authorship credits from economics, marketing, psychology, chemistry, and biomedicine. Also, we show that our model outperforms prior alternatives such as fractional, geometric, arithmetic, and harmonic counting in generating coauthorship credit allocations that approximate the empirical data. The results from the empirical evaluation as well as the model's capability to be adapted to domains with different norms for how to order authors per paper make the proposed model a robust and flexible framework for studying substantive questions about coauthorship across domains. [ABSTRACT FROM AUTHOR]

Kikuchi-Fujimoto Disease (KFD) is a benign, self-limited disease characterized by tender regional lymphadenopathy with fever. KFD remains a poorly defined disease, and no clear diagnostic criteria are available. Here, we assess the clinical, laboratory, and histopathologic findings of KFD cases and report two unusual cases. Forty KFD patients that underwent lymph node (LN) biopsy and diagnosed by immunohistochemical staining, from January 2003 to November 2010, were enrolled in this retrospective study. The patients had a mean age of 29.3 years, and 29 (72.5 %) were women. Affected LNs were mainly located unilaterally in the cervical area. Mean LN size was 15.3 mm. Twenty-eight (70 %) patients had LN tenderness, and 25 (62.5 %) patients had fever. Leukopenia was observed in 18 of 35 evaluable patients. C-reactive protein and erythrocyte sedimentation rate were elevated in most patients. Anti-nuclear antibody was positive in four of 19 evaluable patients, but all had been diagnosed with concurrent systemic lupus erythematosus. Histologically, the 40 cases were classified into three types, that is, as proliferative (37.5 %), necrotizing (55.0 %), or xanthomatous (7.5 %). Interesting cases: Case 1 was a 35-year-old female with KFD and uveitis, retinal vasculitis, and superior sagittal sinus thrombosis. Case 2 was a 47-year-old male with KFD and bone marrow involvement and presented with severe bicytopenia. Although KFD is an uncommon self-limited benign disorder, it must be included in the differential diagnosis of lymphadenopathy with fever and cytopenia. It is important that the clinical features of KFD be understood to reach a correct diagnosis. [ABSTRACT FROM AUTHOR]

This paper reports a novel approach for improving the nanotribological properties of silicon (Si) surfaces by topographically and chemically modifying the surfaces. In the first step, Si (100) wafers were topographically modified into nano-pillars by using the photolithography and reactive ion etching (RIE) techniques. Various patterns, including nano-pillars of varying diameters and pitches (distance between pillars), were fabricated. Then, the patterns were coated with a Z-DOL (perfluoropolyether (PFPE)) lubricating film using a dipcoating technique, and this process was followed by thermal treatment. These modified surfaces were tested for their nanotribological properties, namely adhesion and friction forces, using an atomic force microscope (AFM). The results showed that the topographical modification and Z-DOL coating each independently reduced the adhesion and friction forces on the Si surfaces. However, the combination of the two surface treatments was most effective in reducing these forces. This is attributed to the combined effects of the reduction in the real area of contact due to patterning and the low surface energy of the Z-DOL lubricant. Further, it was found that adhesion and friction forces of the surfaces with combined modification varied significantly depending on the diameter of the pillars and the pitch. It is proposed that such a combination of surface modifications promises to be an effective method to improve the nanotribological performance of miniaturized devices, such as MEMS, in which Si is a typical material. [ABSTRACT FROM AUTHOR]

The purpose of this study is to examine attitudes toward date rape among university students in South Korea. Participants included 163 students recruited from two universities in South Korea. Results show that male students were less rejecting of date rape-tolerant attitudes than female students were. Also, male students were less rejecting of the belief that the use of force to have sex on a date is acceptable under certain conditions. Attending a sexual assault educational program was associated with more rejection of date rape-tolerant attitudes among females, but not among males. The results will be of particular value to advocates who provide rape prevention and victim intervention programs. [ABSTRACT FROM AUTHOR]

In this paper, we report on the replication of surface topographies of natural leaves of water-repellent plants of Lotus and Colocasia onto thin polymeric films using a capillarity-directed soft lithographic technique. The replication was carried out on poly(methyl methacrylate) (PMMA) film spin coated on silicon wafer using poly(dimethyl siloxane) (PDMS) molds. The friction properties of the replicated surfaces were investigated at micro-scale in comparison with those of PMMA thin film and silicon wafer. The replicated surfaces exhibited superior friction property when compared to those of PMMA thin film and silicon wafer. The superior friction behaviour of the replicated surfaces was attributed to the reduced real area of contact projected by them. [ABSTRACT FROM AUTHOR]

A Correction to this paper has been published: https://doi.org/10.1007/s10067-021-05732-5 [ABSTRACT FROM AUTHOR]

An amendment to this paper has been published and can be accessed via a link at the top of the paper. [ABSTRACT FROM AUTHOR]

Osteoarthritis is a common degenerative disease that most frequently involves the hand. The objective was to compare clinical functional outcome measures including hand grip, pinch strength, and dexterity with various electrophysiological measures in patients of different ages with hand osteoarthritis with or without the presence of carpal tunnel syndrome (CTS). Patients with hand osteoarthritis (208 patients, 404 hands) who underwent hand-function tests and motor and sensory nerve conduction studies (NCS) between June 2015 and June 2016 were enrolled. The patients' hands were assigned to carpal tunnel syndrome (CTS) (206 hands; mean age, 56.37 ± 10.52; male:female, 46:160) or control groups (198 hands; mean age, 57.88 ± 9.68; male:female, 55:143). The strength of hand grip and lateral pinch, the time required to complete the nine-hole pegboard test (9HPT), and motor and sensory nerve conduction parameters were measured and compared across age groups and between hands with or without CTS. The CTS group showed significantly lower hand grip and lateral pinch strength, and a longer time to complete the 9HPT in comparison with the control group. Female patients showed significantly lower hand grip and lateral pinch strength than male patients. However, there was no difference in the 9HPT completion time between genders. Multivariate regression analysis identified the amplitude of the median compound muscle action potential (CMAP), age, and male gender as independent predictors of grip strength (adjusted R2 = 0.679), and amplitude of median CMAP and male gender as independent predictors of KP strength (adjusted R2 = 0.603). Velocity of median CMAP, amplitude of median sensory nerve action potential, and age were identified as independent predictors of 9HPT time (adjusted R2 = 0.329). Nerve conduction measurements were significantly related to hand-function test results, and CTS induced significant deficits in strength and performance of the affected hand. [ABSTRACT FROM AUTHOR]

Realizing a clinical-grade electronic medicine for peripheral nerve disorders is challenging owing to the lack of rational material design that mimics the dynamic mechanical nature of peripheral nerves. Electronic medicine should be soft and stretchable, to feasibly allow autonomous mechanical nerve adaptation. Herein, we report a new type of neural interface platform, an adaptive self-healing electronic epineurium (A-SEE), which can form compressive stress-free and strain-insensitive electronics-nerve interfaces and enable facile biofluid-resistant self-locking owing to dynamic stress relaxation and water-proof self-bonding properties of intrinsically stretchable and self-healable insulating/conducting materials, respectively. Specifically, the A-SEE does not need to be sutured or glued when implanted, thereby significantly reducing complexity and the operation time of microneurosurgery. In addition, the autonomous mechanical adaptability of the A-SEE to peripheral nerves can significantly reduce the mechanical mismatch at electronics-nerve interfaces, which minimizes nerve compression-induced immune responses and device failure. Though a small amount of Ag leaked from the A-SEE is observed in vivo (17.03 ppm after 32 weeks of implantation), we successfully achieved a bidirectional neural signal recording and stimulation in a rat sciatic nerve model for 14 weeks. In view of our materials strategy and in vivo feasibility, the mechanically adaptive self-healing neural interface would be considered a new implantable platform for a wide range application of electronic medicine for neurological disorders in the human nervous system. Electronic implantable devices should be soft and stretchable, such that nerves can adapt mechanically and autonomously. Here, the authors present an adaptive self-healing electronic epineurium which can form compressive stress-free and strain-insensitive electronics-nerve interfaces. [ABSTRACT FROM AUTHOR]

Understanding of interactions among molecules is essential to elucidate the binding of pharmaceuticals on receptors, the mechanism of protein folding and self-assembling of organic molecules. While interactions between two aromatic molecules have been examined extensively, little is known about the interactions between two antiaromatic molecules. Theoretical investigations have predicted that antiaromatic molecules should be stabilized when they stack with each other by attractive intermolecular interactions. Here, we report the synthesis of a cyclophane, in which two antiaromatic porphyrin moieties adopt a stacked face-to-face geometry with a distance shorter than the sum of the van der Waals radii of the atoms involved. The aromaticity in this cyclophane has been examined experimentally and theoretically. This cyclophane exhibits three-dimensional spatial current channels between the two subunits, which corroborates the existence of attractive interactions between two antiaromatic π-systems. Little is known about interactions between two antiaromatic molecules. Here, the authors synthesised a cyclophane, in which two antiaromatic porphyrin moieties adopt a stacked face-to-face geometry with a distance shorter than the sum of the van der Waals radii of the atoms involved. [ABSTRACT FROM AUTHOR]

In the original publication of the article, in Abstract, the size of labeled data was incorrectly reported. [ABSTRACT FROM AUTHOR]