bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systematic Review and Meta-analysis: Loss of Response and Need for Dose Escalation of Infliximab and Adalimumab in Ulcerative Colitis
Authors: Savelkoul Edo H J , Thomas Pepijn W A , Derikx Lauranne A A P , den Broeder Nathan , Römkens Tessa E H , Hoentjen Frank 
Published: November 2022

Abstract

Background
Loss of response to infliximab or adalimumab in ulcerative colitis occurs frequently, and dose escalation may aid in regaining clinical benefit. This study aimed to systematically assess the annual loss of response and dose escalation rates for infliximab and adalimumab in ulcerative colitis.

Methods
A systematic search was conducted from August 1999 to July 2021 for studies reporting loss of response and dose escalation during infliximab and/or adalimumab use in ulcerative colitis patients with primary response. Annual loss of response, dose escalation rates, and clinical benefit after dose escalation were calculated. Subgroup analyses were performed for studies with 1-year follow-up or less.

Results
We included 50 unique studies assessing loss of response (infliximab, n = 24; adalimumab, n = 21) or dose escalation (infliximab, n = 21; adalimumab, n = 16). The pooled annual loss of response for infliximab was 10.1% (95% confidence interval [CI], 7.1-14.3) and 13.6% (95% CI, 9.3-19.9) for studies with 1-year follow-up. The pooled annual loss of response for adalimumab was 13.4% (95% CI, 8.2-21.8) and 23.3% (95% CI, 15.4-35.1) for studies with 1-year follow-up. Annual pooled dose escalation rates were 13.8% (95% CI, 8.7-21.7) for infliximab and 21.3% (95% CI, 14.4-31.3) for adalimumab, regaining clinical benefit in 72.4% and 52.3%, respectively.

Conclusions
Annual loss of response was 10% for infliximab and 13% for adalimumab, with higher rates during the first year. Annual dose escalation rates were 14% (infliximab) and 21% (adalimumab), with clinical benefit in 72% and 52%, respectively. Uniform definitions are needed to facilitate more robust evaluations.
Analysis of pairings of colors and materials of furnishings in interior design with a data-driven framework
Authors: Park Bo Hyeon , Hyun Kyung Hoon 
Published: November 2022

Abstract
Color–material furnishing pairing is known as a “black-box” for interior designers. The overall atmosphere of a space can be changed by modifying furnishing combinations, e.g., to express modern or classic styles. Designers carefully choose pairings of colors and materials that fit their intended interior design styles based on experience and knowledge. However, no specific principles or rules have yet been established. Therefore, this study aims to derive a furnishing pairing principle based on a novel framework comprising object detection, color extraction, material recognition, and network analysis. We used the proposed framework to analyze large-scale interior design image data (N =  24194) collected from an online interior design platform. We also used the authenticity algorithm to analyze the relative influence of styles. By using the data-driven method from large-scale data in each of the eight interior styles, we derived authentic color, material, and furnishing combinations. Our study results revealed that images with high authenticity values in each style matched existing style descriptions. Additionally, the proposed framework allows interior style image retrieval based on a specific color, material, and furnishing combination. Our findings have implications for research on the development of style-aware furniture retrieval systems and automatic interior design generation methods.
Novel industrial surface-defect detection using deep nested convolutional network with attention and guidance modules
Authors: Park Kyeong-Beom , Lee Jae Yeol 
Published: November 2022

Abstract
Industrial defect inspection plays a crucial role in maintaining the high quality of the product. Although deep learning technologies have been applied to conduct automatic defect inspection, it is still difficult to detect industrial surface defects accurately due to complex variations. This study proposes a novel approach to industrial surface-defect detection that segments defect areas accurately and robustly from the complex background using a deep nested convolutional network (NC-Net) with attention and guidance modules. NC-Net consists of the encoder-decoder with nested residual U-blocks and feature enhancement modules. Each layer block of the encoder and decoder is also represented as a residual U-block. In addition, features are adaptively refined by applying the attention module to the skip connection between the encoder and decoder. Low-level encoder features are refined through edge guidance, and high-level encoder features through mask guidance, which can keep local and global contexts for accurate and robust defect detection. A comprehensive evaluation was conducted to verify the novelty and robustness of NC-Net using four datasets, including magnetic tile surface defects, steel surface defects, rail surface defects, and road surface defects. The proposed method outperformed previous state-of-the-art studies. An additional dataset was also evaluated to prove the extensibility and generality of the proposed approach.
Optimal feedrate planning on a five-axis parametric tool path with global geometric and kinematic constraints
Authors: Ma Hong-Yu , Yuan Chun-Ming , Shen Li-Yong , Gao Xiao-Shan 
Published: November 2022

Abstract
The optimal feedrate planning problem for the five-axis parametric tool path remains challenging due to the nonlinear relationships between the joint space and the Cartesian space. We present a novel and complete optimal feedrate planning method for a five-axis parametric tool path by constraining the velocity, acceleration, jerk in the joint space, and the chord error in the Cartesian space. Our method formulates the problem as an optimal control problem, and we propose an iteration control vector parametrization method to compute the optimal solution. Compared with the new development five-axis feedrate planning methods, our solution satisfies “bang-bang” optimal control, and each constraint is strictly under the limits globally. Examples and comparisons with two other methods are demonstrated to show the effectiveness of the algorithm.
Optimum boundaries for maximum load-carrying capacity in water-lubricated composite journal bearings incorporating turbulences and inertial effects based on elastohydrodynamic analysis
Authors: Kim Wonvin , Lim Su Hyun , Hong Hyunsoo , Jeong Kwang Il , On Seung Yoon , Park Seong Yeon , You Jun Il , Kim Seong Su 
Published: November 2022

Abstract
The application of polymer-based composite materials as bearing liner materials in eco-friendly water lubrication has received considerable attention owing to their superior tribological behaviors, corrosion resistance, and high damping characteristics, and their design flexibility can improve the bearing performances in response to the distribution of lubricant film pressure based on the regulation of elastic constants. However, the low viscosity and high density of water essentially cause thin-filmed lubrication accompanied by a low load-carrying capacity. Particularly, a high rotational speed enhancing the wedge effect induces turbulence and considerable inertial effect. Moreover, substantial elastic deformation of the composite bearing liners alters the formation of the lubricant film. In this study, we analyze a water-lubricated composite journal bearing system incorporating the turbulence, inertial effect, and elastic deformation of the bearing liner. Reynolds equation was modified considering the turbulence and inertial effect. The elastic deformation of the composite bearing liner was determined by solving the constitutive equation. The Reynolds equation and the constitutive equation were solved via the finite difference method and finite element method, respectively. In addition, the analytical relation for the elastic deformation was derived that suitably eliminated the requirement of solving the constitutive equation. With the introduction of the primary parameters, Sommerfeld number, Reynolds number, and deformation coefficient, the relation of the normalized minimum film thickness with respect to the parameters was modeled based on the Gaussian regression model. Accordingly, we proposed the new optimal maximum load-carrying capacity boundaries that narrowed down the operating region compared to conventional boundaries.
A combination of acetabular coverage and femoral head–neck measurements can help diagnose femoroacetabular impingement
Authors: Hayashi Shinya , Kuroda Yuichi , Nakano Naoki , Matsumoto Tomoyuki , Kamenaga Tomoyuki , Maeda Toshihisa , Kuroda Ryosuke 
Published: November 2022

ABSTRACTThis study aimed to evaluate the relationship between the radiographical features of combination of the acetabular coverage and the femoral head-neck shape and the occurrence of femoroacetabular impingement (FAI). In this study, 114 patients who had FAI with or without labral tear and mild osteoarthritis were analyzed. Plain radiographs and computed tomography (CT) were taken for evaluation of acetabular coverage and femoral head-neck measurements. The relationship between the combination angle of acetabular coverage and femoral head-neck measurements and the occurrence of FAI was evaluated. The prevalence of FAI patients with the combination angle of CT-anterior CE + α angle ≥100° was 6.1% (7/114 patients). Receiver operator characteristic curve analysis demonstrated a higher area under the curve for combination of CT-anterior center edge angle (ACEA) with the α angle at 0.94 (CT-ACEA +α angle). A threshold for the occurrence of FAI was determined using the combination CT-ACEA + α angle at 100°. The frequency of FAI surgery was significantly higher in patients with a combination angle ≥100° than in those with a smaller angle. The average modified Harris hip score was significantly lower in patients with a combination angle ≥100° than in those with a smaller angle. We suggest that the combination of lateral center edge angle ≥40°, α angle ≥50° and combined angles of CT-ACEA and α angle ≥100° may help diagnosis of FAI. Level of evidence III: retrospective cohort study.
Performance of a Molecular Test for Group A Streptococcus Pharyngitis
Authors: Tanz Robert R , Heaberlin Lauren E , Harvey Erin , Katsogridakis Yiannis L , Burns Rebecca Ruhana , Rippe Jason , Shulman Stanford T 
Published: November 2022

Abstract
We performed a prospective study to determine if the pretest probability of a positive loop-mediated isothermal amplification test is greater when there are more signs and symptoms of GAS pharyngitis. Patients were enrolled if a clinician obtained a GAS RADT. The McIsaac score was calculated. The prevalence of positive LAMP and RADT results increased as the McIsaac score increased. The calculated sensitivity of LAMP was superior to RADT.
SCFOsFBK1 E3 ligase mediates jasmonic acid-induced turnover of OsATL53 and OsCCR14 to regulate lignification of rice anthers and roots
Authors: Borah Pratikshya , Sharma Aishwarye , Sharma Arun Kumar , Khurana Paramjit , Khurana Jitendra Paul 
Published: November 2022

Abstract
The rice F-box protein OsFBK1, which mediates the turnover of a cinnamoyl CoA-reductase, OsCCR14, has previously been shown to regulate anther and root lignification. Here, we identify OsATL53, a member of the ATL family of RING-H2 proteins that interacts with OsCCR14 in the cytoplasm. OsATL53 was identified in the same yeast two-hybrid library screening as reported previously for OsCCR14, and we show it to have cytoplasmic localization and E3 ligase ubiquitination properties. SCFOsFBK1 mediates turnover of OsATL53 in the cytoplasm and the nucleus, and that of OsCCR14 only in the nucleus, as shown by cell-free degradation assays. Confocal fluorescence lifetime imaging microscopy analyses demonstrate that in presence of jasmonic acid (JA), which plays a role in anther dehiscence, OsATL53–OsCCR14 undergoes conformational changes that trigger the complex to accumulate around the nuclear periphery and signals OsFBK1 to initiate degradation of the proteins in the respective cellular compartments. OsATL53 decreases the enzymatic activity of OsCCR14 and sequesters it in the cytoplasm, thereby regulating the lignification process. Transgenic rice with knockdown of OsATL53 display increased lignin deposition in the anthers and roots compared to the wild type, whilst knockdown of OsCCR14 results in decreased lignin content. Our results show that OsATL53 affects the activity of OsCCR14, and that their JA-induced degradation by SCFOsFBK1 regulates lignification of rice anthers and roots.
Rearranged Endogenized Plant Pararetroviruses as Evidence of Heritable RNA-based Immunity
Authors: Valli Adrian A , Gonzalo-Magro Irene , Sanchez Diego H 
Published: November 2022

Abstract
Eukaryotic genomics frequently revealed historical spontaneous endogenization events of external invading nucleic acids, such as viral elements. In plants, an extensive occurrence of endogenous plant pararetroviruses (EPRVs) is usually believed to endow hosts with an additional layer of internal suppressive weaponry. However, an actual demonstration of this activity remains speculative. We analyzed the EPRV component and accompanying silencing effectors of Solanum lycopersicum, documenting that intronic/intergenic pararetroviral integrations bearing inverted-repeats fuel the plant's RNA-based immune system with suitable transcripts capable of evoking a silencing response. A surprisingly small set of rearrangements explained a substantial fraction of pararetroviral-derived endogenous small-interfering (si)RNAs, enriched in 22-nt forms typically associated with anti-viral post-transcriptional gene silencing. We provide preliminary evidence that such genetic and immunological signals may be found in other species outside the genus Solanum. Based on molecular dating, bioinformatics, and empirical explorations, we propose that homology-dependent silencing emerging from particular immuno-competent rearranged chromosomal areas that constitute an adaptive heritable trans-acting record of past infections, with potential impact against the unlocking of plant latent EPRVs and cognate-free pararetroviruses.
Pancancer transcriptomic profiling identifies key PANoptosis markers as therapeutic targets for oncology
Authors: Mall Raghvendra , Bynigeri Ratnakar R , Karki Rajendra , Malireddi R K Subbarao , Sharma Bhesh Raj , Kanneganti Thirumala-Devi 
Published: November 2022

AbstractResistance to programmed cell death (PCD) is a hallmark of cancer. While some PCD components are prognostic in cancer, the roles of many molecules can be masked by redundancies and crosstalks between PCD pathways, impeding the development of targeted therapeutics. Recent studies characterizing these redundancies have identified PANoptosis, a unique innate immune-mediated inflammatory PCD pathway that integrates components from other PCD pathways. Here, we designed a systematic computational framework to determine the pancancer clinical significance of PANoptosis and identify targetable biomarkers. We found that high expression of PANoptosis genes was detrimental in low grade glioma (LGG) and kidney renal cell carcinoma (KIRC). ZBP1, ADAR, CASP2, CASP3, CASP4, CASP8 and GSDMD expression consistently had negative effects on prognosis in LGG across multiple survival models, while AIM2, CASP3, CASP4 and TNFRSF10 expression had negative effects for KIRC. Conversely, high expression of PANoptosis genes was beneficial in skin cutaneous melanoma (SKCM), with ZBP1, NLRP1, CASP8 and GSDMD expression consistently having positive prognostic effects. As a therapeutic proof-of-concept, we treated melanoma cells with combination therapy that activates ZBP1 and showed that this treatment induced PANoptosis. Overall, through our systematic framework, we identified and validated key innate immune biomarkers from PANoptosis which can be targeted to improve patient outcomes in cancers.
The influence of repeated flares in response to therapy and prognosis in lupus nephritis
Authors: Perez-Arias Abril A , Márquez-Macedo Sofía E , Pena-Vizcarra Oscar R , Zavala-Miranda María Fernanda , Romero-Díaz Juanita , Morales-Buenrostro Luis E , Mejía-Vilet Juan M 
Published: November 2022

ABSTRACTBackgroundRepeated renal flares in lupus nephritis (LN) have been associated with worse long-term kidney function. This study aimed to assess the impact of repeated LN flares in response to therapy, kidney and patient prognosis.MethodsAll patients from a biopsy-proven LN cohort between 2008 and 2018 were segregated into three groups according to the number of LN flares when they entered our cohort: first LN flare, second LN flare or third LN flare. The following outcomes were evaluated by unadjusted and adjusted time-to-event analyses: complete and partial response, disease relapses, progression to decline of 30% of the estimated glomerular filtration rate (eGFR), doubling of serum creatinine, end-stage kidney disease and patient survival.ResultsA total of 441 patients were included: 257 (58%) in their first LN flare, 102 (23%) in their second LN flare and 82 (19%) in their third LN flare. There were significant differences in LN flare presentation in age, eGFR, serum albumin, pyuria and hematuria among groups. The National Institutes of Health chronicity indices and the percentage of patients with vascular lesions were higher in groups at progressive LN flares. In the adjusted analyses, complete and partial response rates decreased, as well as kidney and patient survival, at a progressive number of LN flares. No differences in the dynamic course of all surveillance laboratory parameters were observed in the first year after initial therapy among LN flare groups.ConclusionsA progressive number of LN flares is associated with a lower response to therapy and an adverse prognosis for kidney function and patient survival.
Factors associated with alcohol abuse in the Peruvian population: analysis of a national health survey 2019
Authors: Caira-Chuquineyra Brenda , Fernandez-Guzman Daniel , Quispe-Vicuña Carlos , Gutierrez-Rodriguez Raysa , Valencia Pablo D 
Published: November 2022

Abstract

Aim
To evaluate the factors associated with alcohol abuse in the Peruvian population.

Methods
A secondary analysis was performed using data from the Demographic and Family Health Survey of Peru, 2019. We included 24 264 Peruvians between 18 and 59 years. For the analysis of association, the Poisson regression model with robust standard errors was used. Adjusted Prevalence Ratios (aPR) with their respective 95% confidence intervals (95% CI) were calculated.

Results
The prevalence of alcohol abuse was 5.2%. Having higher education (aPR:1.61; 95%CI:1.04–2.48), being widowed, separated or divorced (aPR:1.73; 95%CI:1.18–2.54), belonging to the third (aPR:1.70; 95%CI:1.12–2.60), fourth (aPR:2.08; 95%CI:1.33–3.23) or fifth socioeconomic quintile (aPR:2.16; 95%CI:1.33–3.50), being from the Sierra (aPR:1.45; 95%CI:1.12–1.87) or Selva (aPR:1.48; 95%CI:1.13–1.94), not having health insurance (aPR:1.25; 95%CI:1.04–1.50), being a current smoker (aPR:2.43; 95%CI:2.02–2.93) and having major depression (aPR:1.77; 95%CI:1.32–2.36) were associated with a higher prevalence of alcohol abuse. On the other hand being a middle-aged adult (aPR:0.73; 95%CI:0.60–0.88), female (aPR:0.16; 95%CI:0.12–0.22) and having started drinking alcohol after the age of 18 years (aPR:0.57; 95%CI:0.47–0.69) were associated with a lower prevalence.

Conclusions
One in 20 Peruvians between 18 and 59 years had alcohol abuse. Age, gender, education level, marital status, socioeconomic level, region, age of first drink, smoking and depression were associated with alcohol abuse.
Hyaline Cartilage Microtissues Engineered from Adult Dedifferentiated Chondrocytes: Safety and Role of WNT Signaling
Authors: Kutaish Halah , Bengtsson Laura , Tscholl Philippe Matthias , Marteyn Antoine , Braunersreuther Vincent , Guérin Alexandre , Béna Frédérique , Gimelli Stefania , Longet David , Ilmjärv Sten , Dietrich Pierre-Yves , Gerstel Eric , Jaquet Vincent , Hannouche Didier , Menetrey Jacques , Assal Mathieu , Krause Karl-Heinz , Cosset Erika , Tieng Vannary 
Published: November 2022

AbstractThe repair of damaged articular cartilage is an unmet medical need. Chondrocyte-based cell therapy has been used to repair cartilage for over 20 years despite current limitations. Chondrocyte dedifferentiation upon expansion in monolayer is well known and is the main obstacle to their use as cell source for cartilage repair. Consequently, current approaches often lead to fibrocartilage, which is biomechanically different from hyaline cartilage and not effective as a long-lasting treatment. Here, we describe an innovative 3-step method to engineer hyaline-like cartilage microtissues, named Cartibeads, from high passage dedifferentiated chondrocytes. We show that WNT5A/5B/7B genes were highly expressed in dedifferentiated chondrocytes and that a decrease of the WNT signaling pathway was instrumental for full re-differentiation of chondrocytes, enabling production of hyaline matrix instead of fibrocartilage matrix. Cartibeads showed hyaline-like characteristics based on GAG quantity and type II collagen expression independently of donor age and cartilage quality. In vivo, Cartibeads were not tumorigenic when transplanted into SCID mice. This simple 3-step method allowed a standardized production of hyaline-like cartilage microtissues from a small cartilage sample, making Cartibeads a promising candidate for the treatment of cartilage lesions.
Cellular and Molecular Targets of Extracellular Vesicles from Mesenchymal Stem/Stromal Cells in Rheumatoid Arthritis
Authors: Alcaraz María José , Guillén María Isabel 
Published: November 2022

Abstract
Rheumatoid arthritis (RA) is a chronic autoimmune disease that causes progressive joint destruction. Despite the advances in the treatment of this condition there remains a clinical need for safe therapies leading to clinical remission. Mesenchymal stem/stromal cells (MSCs) play immunomodulatory and regenerative roles which can be partly mediated by their secretome. In recent years, the important contribution of extracellular vesicles (EVs) to MSC actions has received an increasing interest as a new therapeutic approach. We provide an extensive overview of the immunomodulatory properties of MSC EVs and their effects on articular cells such as fibroblast-like synoviocytes that play a central role in joint destruction. This review discusses the anti-arthritic effects of MSC EVs in vitro and in animal models of RA as well as their potential mechanisms. Recent preclinical data suggest that transfer of non-coding RNAs by MSC EVs regulates key signaling pathways involved in the pathogenesis of RA. We also examine a number of EV modifications for improving their anti-arthritic efficacy and carrier ability for drug delivery.