bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictors of tumor necrosis factor inhibitors primary failure in rheumatoid arthritis patients
Authors: Khafagi Amira Mohamed , Mosa Doaa Mosad , Hawaas Salah , Hafez Eman Abdelrazek 
Published: May 2024

Abstract
Background
Tumor necrosis factor inhibitors (TNFi) have emerged as an efficient therapeutic modality for rheumatoid arthritis (RA). A ratio of patients does not give a response despite therapy. It remains a challenge to predict which patients will respond. Our study aims to investigate early predictors of primary TNFi failure in RA patients. Patients were categorized into two groups based on TNFi therapy (responder/non-responder) and then compared to detect the most significant predictors of treatment failure.

Results
This study included 87 RA patients treated with TNFi for the first time after conventional disease-modifying anti-rheumatic drugs (DMARDs) failed. This study showed that compared to those with successful treatment, patients with overall primary failure were significantly higher in older age, females, smokers, obese, younger age at the onset of the disease, or those with deformity. In addition, the drug failure was significantly related to erythrocyte sedimentation rate (ESR) (100 vs 68 mm/h), C-reactive protein (CRP) (48 vs 12 mg/dl), rheumatoid factor (RF) positivity (29% vs 16%), anti-cyclic citrullinated peptide (anti-CCP) positivity (39% vs 23%), and non-methotrexate (MTX) concomitant use (33% vs 40%).

Conclusion
The increased age, being a smoker, earlier age at onset, presence of a deformity, and positive anti-CCP at baseline were predictors of overall failure. At the same time, concomitant MTX intake increased the success rate by 9.6%.
Hybrid feature selection method for predicting software defect
Authors: Anju A. J. , Judith J. E. 
Published: May 2024

AbstractTo address the challenges associated with the abundance of features in software datasets, this study proposes a novel hybrid feature selection method that combines quantum particle swarm optimization (QPSO) and principal component analysis (PCA). The objective is to identify a subset of relevant features that can effectively contribute to the accuracy of a predictive model based on an artificial neural network (ANN). The quantum particle swarm optimization algorithm is employed to optimize the selection of features by simulating the behavior of quantum particles in a search space. This approach enhances the exploration and exploitation capabilities, allowing for a more effective identification of relevant features. Furthermore, principal component analysis is integrated into the hybrid method to reduce dimensionality and remove multicollinearity among features, thereby improving the efficiency of the feature selection process. The proposed hybrid method is applied to software defect datasets, where the selected subset of features is fed into an artificial neural network for defect prediction. The performance of the hybrid model is compared with traditional feature selection methods, standalone QPSO, and PCA. Experimental results demonstrate the effectiveness of the hybrid approach in achieving superior predictive accuracy while reducing the dimensionality of the dataset. The proposed approach not only enhances prediction accuracy but also provides a more interpretable and efficient subset of features for building robust defect prediction models.
Mapping 15-year depressive symptom transitions in late life: population-based cohort study
Authors: Triolo Federico , Vetrano Davide Liborio , Trevisan Caterina , Sjöberg Linnea , Calderón-Larrañaga Amaia , Belvederi Murri Martino , Fratiglioni Laura , Dekhtyar Serhiy 
Published: May 2024

BackgroundThe longitudinal course of late-life depression remains under-studied.AimsTo describe transitions along the depression continuum in old age and to identify factors associated with specific transition patterns.MethodWe analysed 15-year longitudinal data on 2745 dementia-free persons aged 60+ from the population-based Swedish National Study on Aging and Care in Kungsholmen. Depression (minor and major) was diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision; subsyndromal depression (SSD) was operationalised as the presence of ≥2 symptoms without depression. Multistate survival models were used to map depression transitions, including death, and to examine the association of psychosocial (social network, connection and support), lifestyle (smoking, alcohol consumption and physical activity) and clinical (somatic disease count) factors with transition patterns.ResultsOver the follow-up, 19.1% had ≥1 transitions across depressive states, while 6.5% had ≥2. Each additional somatic disease was associated with a higher hazard of progression from no depression (No Dep) to SSD (hazard ratio 1.09; 1.07–1.10) and depression (Dep) (hazard ratio 1.06; 1.04–1.08), but also with a lower recovery (HRSSD−No Dep 0.95; 0.93–0.97 [where ‘HR’ refers to ‘hazard ratio’]; HRDep−No Dep 0.96; 0.93–0.99). Physical activity was associated with an increased hazard of recovery to no depression from SSD (hazard ratio 1.49; 1.28–1.73) and depression (hazard ratio 1.20; 1.00–1.44), while a richer social network was associated with both higher recovery from (HRSSD−No Dep 1.44; 1.26–1.66; HRDep−No Dep 1.51; 1.34–1.71) and lower progression hazards to a worse depressive state (HRNo Dep−SSD 0.81; 0.70–0.94; HRNo Dep−Dep 0.58; 0.46–0.73; HRSSD−Dep 0.66; 0.44–0.98).ConclusionsOlder people may present with heterogeneous depressive trajectories. Targeting the accumulation of somatic diseases and enhancing social interactions may be appropriate for both depression prevention and burden reduction, while promoting physical activity may primarily benefit recovery from depressive disorders.
Downstream Revenue Generated by Patients With Hereditary Cancer in the Multigene Panel Testing Era
Authors: Mauer Hall Caitlin B. , Reys Brian D. , Gemmell Amber P. , Campbell Connor L. , Pirzadeh-Miller Sara M. 
Published: May 2024

PURPOSE
Patients with hereditary cancer syndromes face increased medical management recommendations to address their cancer risks. As multigene panels are the standard of testing today, more patients needing clinical intervention are being identified. This study calculates the downstream revenue (DSR) generated by patients ascertained by a genetic counselor (GC) with a hereditary cancer likely pathogenic/pathogenic variant (LPV/PV).

METHODS
Retrospective chart review was performed for patients seen in a high-volume cancer genetics clinic between October 1, 2009, and December 31, 2021, with LPV/PVs in hereditary cancer predisposition genes. DSR and work relative value units (wRVUs) were calculated for each patient before and after they met with a GC. Subgroup analyses calculated DSR/wRVUs from patients affected and unaffected with cancer and those whose genetic counseling visit was the first at the institution (naїve).

RESULTS
A total of 978 patients were available for analysis after exclusions were applied. Patients generated $73.06 million (M) in US dollars (USD) in DSR and 54,814 wRVUs after their initial genetic counseling visit. Unaffected patients (n = 370, 37.8%) generated $11.38M (USD) and 13,879 wRVUs; affected patients (n = 608, 62.2%) generated $61.68M (USD) and 40,935 wRVUs. Naïve patients (n = 367, 37.5%) generated $15.39M (USD) and 11,811 wRVUs; established patients (n = 611, 62.5%) generated $57.67M (USD) and 43,003 wRVUs. Unaffected, naïve patients (n = 204, 20.9%) generated $5.48M (USD) and 5,186 wRVUs.

CONCLUSION
By identifying patients with hereditary cancer, GCs can bring in substantial DSR for their institution. Naïve and unaffected patients provide the greatest GC value-add as these patients represent new business and revenue sources to the institution. As multigene panels continue to expand, the number of patients needing downstream services will increase. Recognizing patients at increased cancer risk will improve patient outcomes while simultaneously providing DSR for institutions.
Circulating MicroRNAs as Predictors of Beta Cell Function in Youth-onset Type 2 Diabetes: The TODAY Study
Authors: Redling Dakota , Bialak Shannon , El ghormli Laure , Chernausek Steven D , Jones Kenneth , Tryggestad Jeanie B 
Published: May 2024

Abstract

Aims
In the Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) study, an intervention trial followed by an observational phase, half the participants reached the primary outcome [hemoglobin A1c (HbA1c) ≥ 8% for at least 6 months] within 4 years, which was associated with a decrease in C-peptide oral disposition index (oDI). We aimed to identify circulating microRNA (miRNA) species associated with a decline in beta cell function.

Methods
Following a preliminary survey of select participants using nCounter Human v3 miRNA Panel (NanoString Technologies), polymerase chain reaction analyses were carried out for 17 miRNAs from 365 participants from samples at baseline, 24, 60, 96, and 120 months.

Results
Using a backward selection approach, 4 baseline miRNA log2 fold-changes independently predicted treatment failure; however, baseline HbA1c was higher in those with treatment failure. Three baseline miRNA log2 fold-changes remained significant predictors of this C-peptide oDI decline ≥20% (P &lt; .05). Increased levels of miRNA-155 [odds ratio (OR): 1.2, 95% confidence interval (CI): 1.1-1.4] and miRNA-130b (OR:1.3, 95% CI: 1.0-1.7) were associated with oDI decline, while decreased levels of miRNA-126 (OR: 0.6, 95% CI: .4-.8) were associated with oDI decline. miRNA-122 was negatively correlated with C-peptide oDI at baseline and 24 months (R = 0.22, P &lt; .01 and R = 0.19, P &lt; .01, respectively) and positively correlated with proinsulin at baseline, 24, and 60 months (R = 0.26, P &lt; 0.01, R = 0.26, P &lt; .01, R = 0.18, P &lt; .01, respectively).

Conclusion
The miRNA species associated with beta cell function are associated with alterations in cellular metabolism and apoptosis, suggesting that differences in baseline abundance may serve as circulating markers of beta cell dysfunction and provide potential mechanistic insights into the aggressive nature of youth-onset type 2 diabetes.
GHSR in a Subset of GABA Neurons Controls Food Deprivation-Induced Hyperphagia in Male Mice
Authors: Cornejo María Paula , Fernandez Gimena , Cabral Agustina , Barrile Franco , Heredia Florencia , García Romero Guadalupe , Zubimendi Sampieri Juan Pablo , Quelas Juan Ignacio , Cantel Sonia , Fehrentz Jean-Alain , Alonso Antonia , Pla Ramon , Ferran José Luis , Andreoli María Florencia , De Francesco Pablo Nicolas , Perelló Mario 
Published: May 2024

Abstract
The growth hormone secretagogue receptor (GHSR), primarily known as the receptor for the hunger hormone ghrelin, potently controls food intake, yet the specific Ghsr-expressing cells mediating the orexigenic effects of this receptor remain incompletely characterized. Since Ghsr is expressed in gamma-aminobutyric acid (GABA)–producing neurons, we sought to investigate whether the selective expression of Ghsr in a subset of GABA neurons is sufficient to mediate GHSR's effects on feeding. First, we crossed mice that express a tamoxifen-dependent Cre recombinase in the subset of GABA neurons that express glutamic acid decarboxylase 2 (Gad2) enzyme (Gad2-CreER mice) with reporter mice, and found that ghrelin mainly targets a subset of Gad2-expressing neurons located in the hypothalamic arcuate nucleus (ARH) and that is predominantly segregated from Agouti-related protein (AgRP)–expressing neurons. Analysis of various single-cell RNA-sequencing datasets further corroborated that the primary subset of cells coexpressing Gad2 and Ghsr in the mouse brain are non-AgRP ARH neurons. Next, we crossed Gad2-CreER mice with reactivable GHSR-deficient mice to generate mice expressing Ghsr only in Gad2-expressing neurons (Gad2-GHSR mice). We found that ghrelin treatment induced the expression of the marker of transcriptional activation c-Fos in the ARH of Gad2-GHSR mice, yet failed to induce food intake. In contrast, food deprivation–induced refeeding was higher in Gad2-GHSR mice than in GHSR-deficient mice and similar to wild-type mice, suggesting that ghrelin-independent roles of GHSR in a subset of GABA neurons is sufficient for eliciting full compensatory hyperphagia in mice.
Field test of mode-pairing quantum key distribution
Authors: Zhu Hao-Tao , Huang Yizhi , Pan Wen-Xin , Zhou Chao-Wu , Tang Jianjun , He Hong , Cheng Ming , Jin Xiandu , Zou Mi , Tang Shibiao , Ma Xiongfeng , Chen Teng-Yun , Pan Jian-Wei 
Published: May 2024

Quantum key distribution is a cornerstone of quantum technology,
offering information-theoretical secure keys for remote parties. With
many quantum communication networks established globally, the
mode-pairing protocol stands out for its efficacy over inter-city
distances using simple setups, emerging as a promising solution. In
this study, we employ the mode-pairing scheme into existing inter-city
fiber links, conducting field tests across distances ranging from tens
to about a hundred kilometers. Our system achieves a key rate of
1.217 kbit/s in a 195.85 km symmetric link and 3.089 kbit/s in a
127.92 km asymmetric link without global phase locking. The results
demonstrate that the mode-pairing protocol can achieve key rates
comparable to those of a single quantum link between two trusted nodes
on the Beijing-Shanghai backbone line, effectively reducing the need
for half of the trusted nodes. These field tests confirm the
mode-pairing scheme’s adaptability, efficiency, and practicality,
positioning it as a highly suitable protocol for quantum networks.
Recent progress on the research of steel corrosion behavior and corrosion control in the context of CO2 geological utilization and storage: a review
Authors: Wang Hanwen , Zhang Liwei , Mei Kaiyuan , Cheng Xiaowei , Xue Quan , Wang Yan , Fu Xiaojuan 
Published: May 2024

Abstract
CO2 geological utilization and storage (CGUS) is a key technology to achieve carbon neutrality goals. To apply CGUS on a larger scale, the issue of steel corrosion during the process must be addressed to mitigate technological risks. This paper provides an overview of CO2-induced steel corrosion mechanisms and identifies factors that influence corrosion. The impact of CO2 partial pressure, temperature, salinity, pH, impurities, and fluid flow on steel corrosion behavior are also discussed. With the presence of water, the corrosive effect of supercritical CO2 on steel is stronger than that of dissolved CO2 or gaseous CO2. As the temperature increases, the corrosion rate of steel first increases and then decreases. Increasing salinity and decreasing pH lead to an accelerated corrosion rate of steel. Corrosion inhibitors, coatings, and corrosion-resistant alloys are recommended protective measures against CO2-induced corrosion. Compared with coatings, corrosion inhibitors and corrosion-resistant alloys are more commonly used in CGUS projects. Future research directions include further exploration of the mechanisms underlying CO2-induced steel corrosion, clarifying the coupled effects of various environmental factors, and developing corrosion protection technologies under high-pressure and high-concentration CO2 conditions.
“Our nation is just trying to rebirth right now”: constructing Crimean Tatar spaces of otherwise through Linguistic Citizenship
Authors: Volvach Natalia 
Published: May 2024

Abstract
This paper aims to make visible the alternative social projects hidden beneath everyday Crimean Tatar landscapes. Drawing on audio recordings and field data from interviews and narrated walking tours led by young citizens, it illuminates how these spaces of otherwise emerge and are co-constructed through participants’ re-readings of material artifacts, resemiotisation of place semiotics and resignification of communal spaces. Participants navigate among such spaces, negotiating the legacies of historical acts of material, cultural, and linguistic dispossession and disruption as well as the contemporary forms that such acts take. In narrating semiotic landscapes, participants perform acts of Linguistic Citizenship, a concept that recognizes that speakers express agency, voice, and participation through a variety of semiotic means; they engage or disengage with political institutions of the state and advance claims for alternative forms of belonging. This paper thus expands semiotic landscape research through its design as a linguistic ethnography, using interactional data to account for individuals’ perceptions of place. It also adds to research on Linguistic Citizenship by foregrounding invisibilized linguistic repertoires and performative acts of meaning-making in a charged political context.
The effect of an intervention focused on academic language on CAF measures in the multilingual writing of secondary students
Authors: Imaz Agirre Ainara , Arias-Hermoso Roberto , Ipiña Nagore 
Published: May 2024

Abstract
The present study aims to explore the effect of an experimental intervention based on academic writing instruction and scientific argumentation on the argumentative multilingual writing of secondary school students. Complexity, accuracy, and fluency (CAF) measures were used to evaluate the texts. A quasi-experimental study with a pre-test/post-test design was carried out with a control group (n = 49) and an experimental group (n = 63) of Basque-Spanish bilingual Year 8 students. The students composed scientific argumentative texts before and after a science unit was taught. Participants in the experimental group received instruction on academic writing and the discourse aspects of argumentation. The corpus of 678 texts was processed using MultiAzterTest and CAF measures were retrieved. Repeated measures ANOVAs were used to compare pre-test and post-test results. The control group exhibited a significant decrease in some fluency, syntactic complexity and accuracy measures, while the experimental group showed a significant improvement in some syntactic complexity and accuracy measures. These results suggest that the experimental intervention might have had a positive impact on written CAF measures. This study emphasises the importance of teaching academic language in multilingual contexts.
Application of emotion recognition technology in psychological counseling for college students
Authors: Li Xiaoran 
Published: May 2024

Abstract
In traditional psychological counseling, limitations of patients’ subjective feelings and expressive abilities, as well as the varying levels of professional skills and conversation skills of counselors, make it difficult to properly solve psychological problems. Emotional recognition technology can help psychological counselors better understand the inner world of patients, thereby providing more targeted psychological counseling services for college students. 2D convolutional neural network-long short-term memory (2DCNN-LSTM) and 1D convolutional neural network-long short-term memory network (1DCNN-LSTM) were used for emotion recognition. Wavelet packet coefficient sequences were utilized to analyze multimodal data; multi-core convolutional neural network models were applied for multimodal feature layer fusion, and LSTM recurrent neural networks were used to effectively identify valence and college student emotions. The experimental results showed that under multimodal recognition, the average recognition accuracy of 2DCNN-LSTM for fourth-year university students was 18.7% higher than that of 1DCNN-LSTM for fourth-year university students. Compared with 1DCNN-LSTM, 2DCNN-LSTM can achieve better recognition accuracy. The research results can help psychological counselors better understand the emotional state and needs of students and provide more personalized and targeted counseling services.
Mechanisms of Tripterygium wilfordii Hook F on treating rheumatoid arthritis explored by network pharmacology analysis and molecular docking
Authors: Mao Ni , Xie Xi 
Published: May 2024

Abstract

Background
Rheumatoid arthritis (RA) is a chronic inflammatory and disabling disease that imposes significant economic and social costs. Tripterygium wilfordii Hook F (TwHF) has a long history of use in traditional Chinese medicine for treating joint disorders, and it has been shown to be cost-effective in treating RA, but its exact mechanism is unknown.

Objective
The goal of the network pharmacology analysis and molecular docking was to investigate the potential active compounds and associated anti-RA mechanisms of TwHF.

Methods
TCMSP and UniProt databases were searched for active compounds and related targets of TwHF. PharmGKB, DrugBank, OMIM, TTD, and the Human Gene Databases were used to identify RA-related targets. The intersected RA and TwHF targets were entered into the STRING database to create a protein–protein interaction network. R software was used for gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Molecular docking technology was used to analyze the optimal effective components from TwHF for docking with the selected target gene.

Results
Following screening and duplicate removal, a total of 51 active compounds and 96 potential targets were chosen. The PPI network revealed that the target proteins are CXCL8, CXCL6, STAT3, STAT1, JUN, PPARG, TP53, IL14, MMP9, VEGFA, RELA, CASP3, PTGS2, IFNG, AKT1, FOS, ICAM1, and MAPK14. The results of the GO enrichment analysis focused primarily on the response to lipopolysaccharide, the response to molecules of bacterial origin, and the response to drugs. The KEGG results indicated that the mechanisms were closely related to lipid and atherosclerosis, chemical carcinogenesis-receptor activation, Kaposi sarcoma-associated, herpesvirus infection, hepatitis B, fluid shear stress and atherosclerosis, IL-17 signaling pathways, Th17-cell differentiation, and so on, all of which are involved in angiogenesis, immune cell chemotaxis, and inflammatory responses. Molecular docking results suggested that triptolide was the appropriate PTGS1, PTGS2, and TNF inhibitors.

Conclusion
Our findings provide an essential role and basis for further immune inflammatory studies into the molecular mechanisms of TwHF and PTGS1, PTGS2, and TNF inhibitor development in RA.
The crystal structure of 4′-chloro-griseofulvin: (2S,6′R)-4′,7-dichloro-4,6-dimethoxy-6′-methyl-3H-spiro[benzofuran-2,1′-cyclohexan]-3′-ene-2′,3-dione, C16H14Cl2O5
Authors: Yang Kai-Ming , Zhang Meng , Li Yi-Xiang , Huang Liang-Zhu , Zhao Yu , Yang Hua , Bai Yu-Bin 
Published: May 2024

Abstract
C16H14Cl2O5, orthorhombic, P212121 (no. 19), a = 8.6429 (4) Å, b = 11.3361 (6) Å, c = 33.9029 (11) Å, V = 3321.7 (3) Å3, Z = 8, R
gt(F) = 0.0635, wR
ref(F
2) = 0.1630, T = 293(2) K.