bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quasi-Experimental Evidence on the Impact of State Recycling and Deposit Laws: Household Recycling Following Interstate Moves
Authors: Viscusi W Kip , Huber Joel , Bell Jason 
Published: April 2023

Abstract
This article estimates the effects on recycling behavior of state recycling laws and deposit laws based on changes in household recycling before and after interstate moves. Estimates from a national panel dataset of 1,498 households who moved between states provide a quasi-experimental test otherwise not possible given long-term stability of such laws in any state. Compared to national average recycling rates, moves to states with deposits for beverage containers increased the number of material types recycled by 41%. More stringent recycling laws are also effective, but they have a smaller impact. Recycling laws boosted the number of materials recycled by 9%, with the largest effect being the 17% increase in the recycling rate for glass. Moves from states with deposit laws to states without such laws decreased the number of materials recycled by 13%. Shifts out of states with stringent laws only had statistically significant effects for plastic, which exhibited a 12% decrease after such a move.
Identifying covariate-related subnetworks for whole-brain connectome analysis
Authors: Chen Shuo , Zhang Yuan , Wu Qiong , Bi Chuan , Kochunov Peter , Hong L Elliot 
Published: April 2023

Summary
Whole-brain connectome data characterize the connections among distributed neural populations as a set of edges in a large network, and neuroscience research aims to systematically investigate associations between brain connectome and clinical or experimental conditions as covariates. A covariate is often related to a number of edges connecting multiple brain areas in an organized structure. However, in practice, neither the covariate-related edges nor the structure is known. Therefore, the understanding of underlying neural mechanisms relies on statistical methods that are capable of simultaneously identifying covariate-related connections and recognizing their network topological structures. The task can be challenging because of false-positive noise and almost infinite possibilities of edges combining into subnetworks. To address these challenges, we propose a new statistical approach to handle multivariate edge variables as outcomes and output covariate-related subnetworks. We first study the graph properties of covariate-related subnetworks from a graph and combinatorics perspective and accordingly bridge the inference for individual connectome edges and covariate-related subnetworks. Next, we develop efficient algorithms to exact covariate-related subnetworks from the whole-brain connectome data with an $\ell_0$ norm penalty. We validate the proposed methods based on an extensive simulation study, and we benchmark our performance against existing methods. Using our proposed method, we analyze two separate resting-state functional magnetic resonance imaging data sets for schizophrenia research and obtain highly replicable disease-related subnetworks.
Early improvements in signs and symptoms predict clinical response to baricitinib in patients with moderate-to-severe atopic dermatitis
Authors: Bieber Thomas , Thyssen Jacob P , Irvine Alan D , Tsunemi Yuichiro , Chen Yun-Fei , Sun Luna , Schloebe Andrea , Riedl Elisabeth , Cork Michael J 
Published: April 2023

Abstract

Background
Early prediction of therapeutic response can optimize treatment strategies in atopic dermatitis (AD). Baricitinib is approved for moderate-to-severe AD in Europe, Japan and other countries.

Objectives
To identify early clinical improvements that can reliably predict a later clinical response to baricitinib in adults with moderate-to-severe AD.

Methods
Using data from one topical corticosteroid combination study [BREEZE-AD7 (NCT03733301)] and data pooled from two monotherapy studies [(BREEZE-AD1 (NCT03334396) and BREEZE-AD2 (NCT03334422)], we calculated the sensitivity and specificity, along with the positive predictive value (PPV) and negative predictive value (NPV), of predefined changes in single and combined clinical scores at weeks 2, 4 and 8, to predict clinical response at week 16. Clinical response was defined as ≥ 75% improvement in Eczema Area and Severity Index (EASI 75), ≥ 4-point improvement in Itch Numeric Rating Scale (Itch NRS ≥ 4), or a combination of both.

Results
Composite predictors had higher predictive accuracy for week 16 response outcomes than did single parameters. This was evident as early as week 4 for the combination of EASI 50 or Itch NRS ≥ 3 and of validated Investigator Global Assessment for AD (vIGA-AD) score ≤ 2 or Itch NRS ≥ 3 (sensitivity 87–100%; NPV 68–100%). The predictive accuracy of these composite clinical predictors for week 16 response outcomes was highest at week 8 (sensitivity 92–100%; NPV 80–100%). At both weeks 4 and 8, EASI 50 or Itch NRS ≥ 3 had higher sensitivity and NPV than did vIGA-AD score ≤ 2 or Itch NRS ≥ 3.

Conclusions
Improvement in signs and symptoms early during treatment with baricitinib 4 mg once daily predicts clinical response at week 16, providing a tool for dermatologists when choosing treatment strategies for patients with moderate-to-severe AD.
Prefrontal representation of affective stimuli: importance of stress, sex, and context
Authors: Wallace Tyler , Myers Brent 
Published: April 2023

Abstract
Stress-related disorders such as depression and anxiety exhibit sex differences in prevalence and negatively impact both mental and physical health. Affective illness is also frequently accompanied by changes in ventromedial prefrontal cortical (vmPFC) function. However, the neurobiology that underlies sex-specific cortical processing of affective stimuli is poorly understood. Although rodent studies have investigated the prefrontal impact of chronic stress, postmortem studies have focused largely on males and yielded mixed results. Therefore, genetically defined population recordings in behaving animals of both sexes were used to test the hypothesis that chronic variable stress (CVS) impairs the neural processing of affective stimuli in the rodent infralimbic region. Here, we targeted expression of a calcium indicator, GCaMP6s, to infralimbic pyramidal cells. In males, CVS reduced infralimbic responses to social interaction and restraint stress but increased responses to novel objects and food reward. In contrast, females did not have CVS-induced changes in infralimbic activity, which was partially dependent on the ovarian status. These results indicate that both male and female vmPFC cells encode social, stress, and reward stimuli. However, chronic stress effects are sex-dependent and behavior-specific. Ultimately, these findings extend the understanding of chronic stress-induced prefrontal dysfunction and indicate that sex is a critical factor for cortical processing of affective stimuli.
Multivariate resting-state functional connectomes predict and characterize obesity phenotypes
Authors: Wang Junjie , Dong Debo , Liu Yong , Yang Yingkai , Chen Ximei , He Qinghua , Lei Xu , Feng Tingyong , Qiu Jiang , Chen Hong 
Published: April 2023

AbstractThe univariate obesity–brain associations have been extensively explored, while little is known about the multivariate associations between obesity and resting-state functional connectivity. We therefore utilized machine learning and resting-state functional connectivity to develop and validate predictive models of 4 obesity phenotypes (i.e. body fat percentage, body mass index, waist circumference, and waist–height ratio) in 3 large neuroimaging datasets (n = 2,992). Preliminary evidence suggested that the resting-state functional connectomes effectively predicted obesity/weight status defined by each obesity phenotype with good generalizability to longitudinal and independent datasets. However, the differences between resting-state functional connectivity patterns characterizing different obesity phenotypes indicated that the obesity–brain associations varied according to the type of measure of obesity. The shared structure among resting-state functional connectivity patterns revealed reproducible neuroimaging biomarkers of obesity, primarily comprising the connectomes within the visual cortex and between the visual cortex and inferior parietal lobule, visual cortex and orbital gyrus, and amygdala and orbital gyrus, which further suggested that the dysfunctions in the perception, attention and value encoding of visual information (e.g. visual food cues) and abnormalities in the reward circuit may act as crucial neurobiological bases of obesity. The recruitment of multiple obesity phenotypes is indispensable in future studies seeking reproducible obesity–brain associations.
The touch in action: exploring sensorimotor interactions with motor imagery
Authors: Ali Yumna , Montani Veronica , Cesari Paola 
Published: April 2023

AbstractThe current research investigates the role of tactile information and its associated neural substrates in controlling the action. We employ a combination of motor and sensory components by asking participants to imagine exerting force with the index finger while either touching or not touching a surface. Assuming action imagination and action performance present similar patterns of activation along the motor system, we applied single-pulse transcranial magnetic stimulation over the primary motor cortex (M1) during action imagination. We observed increased amplitude of motor-evoked potentials (MEPs) of the relevant muscle when imagined actions were performed concurrently with tactile stimulation, suggesting a facilitatory effect of touch on the motor system. The motor system activity was scaled-based on the different amounts of force required, and crucially, this effect was specific to the body part involved in the action imagined. An intriguing positive correlation was observed between participants’ ratings of their imagery level of vividness and the activation of the motor system, indicating that those participants exhibiting MEPs scaled correctly also had strong visualization abilities, as reflected by their capacity to accurately distinguish between varying levels of force.
Maturation of a cortical-amygdala circuit limits sociability in male rats
Authors: Ferrara Nicole C , Trask Sydney , Padival Mallika , Rosenkranz Jeremy Amiel 
Published: April 2023

AbstractPrefrontal cortical maturation coincides with adolescent transitions in social engagement, suggesting that it influences social development. The anterior cingulate cortex (ACC) is important for social interaction, including ACC outputs to the basolateral amygdala (BLA). However, little is known about ACC-BLA sensitivity to the social environment and if this changes during maturation. Here, we used brief (2-hour) isolation to test the immediate impact of changing the social environment on the ACC-BLA circuit and subsequent shifts in social behavior of adolescent and adult rats. We found that optogenetic inhibition of the ACC during brief isolation reduced isolation-driven facilitation of social interaction across ages. Isolation increased activity of ACC-BLA neurons across ages, but altered the influence of ACC on BLA activity in an age-dependent manner. Isolation reduced the inhibitory impact of ACC stimulation on BLA neurons in a frequency-dependent manner in adults, but uniformly suppressed ACC-driven BLA activity in adolescents. This work identifies isolation-driven alterations in an ACC-BLA circuit, and the ACC itself as an essential region sensitive to social environment and regulates its impact on social behavior in both adults and adolescents.
Being bold wisely: neural substrates underlying ability to exploit risk
Authors: Hu Bowen , He Qinghua , Qiu Jiang , Lei Xu , Chen Hong , Feng Tingyong 
Published: April 2023

AbstractNothing ventured, nothing gained. To succeed one must take risks, and more importantly, take risks wisely, which depends on individual ability to exploit risk. Here, we explore neural substrates for the ability to exploit risk by using voxel-based morphometry (VBM). First, we carried out structural magnetic resonance imaging and measured individual risk-taking propensity and corresponding earnings by administrating the Balloon Analogue Risk Task in 1,389 participants. Behavior analysis revealed an inverted-U-shaped relation between risk-taking propensity and earnings, that earnings initially increased and then decreased as risk-taking propensity increased. Then individual ability to exploit risk was estimated by calculating the difference between individual actual earnings and the average earnings of the group at the same level of risk-taking propensity. VBM analysis revealed that individual ability to exploit risk was positively correlated with the gray matter volumes of three clusters located in the right orbitofrontal cortex, left dorsolateral prefrontal cortex (dlPFC), and right dlPFC, respectively. These findings highlight the neural substrates for the ability to exploit risk and implicate that precise valuation, adaptive learning, and self-control may underpin the ability to exploit risk, which expand our understanding of the ability to exploit risk and its neural substrates.
A Randomized Clinical Trial of 1-Dose vs Accelerated 2-Dose Schedule for Hepatitis A Virus (HAV) Revaccination Among People With Human Immunodeficiency Virus Who Were Nonresponders or Had Seroreversion After Primary HAV Vaccination
Authors: Chen Guan-Jhou , Sun Hsin-Yun , Lin Kuan-Yin , Hsieh Szu-Min , Chuang Yu-Chung , Liu Wang-Da , Huang Yu-Shan , Pan Sung-Ching , Wu Un-In , Cheng Aristine , Huang Yi-Chia , Wu Cheng-Hsin , Su Yi-Ching , Liu Wen-Chun , Chang Sui-Yuan , Hung Chien-Ching 
Published: April 2023

Abstract

Background
For people with human immunodeficiency virus (PWH) who have no serological responses to their primary hepatitis A virus (HAV) vaccination or have seroreversion after successful primary vaccination, the optimal revaccination strategy remains unclear.

Methods
In this open-label, randomized clinical trial, PWH who tested negative for anti-HAV antibodies after receiving a standard 2-dose series of primary HAV vaccination were enrolled and assigned in a 1:1 ratio to receive either 1 dose (the 1-dose group) or 2 doses of HAV vaccine administered 4 weeks apart (the 2-dose group). Serological response rates and anti-HAV antibody titers were compared at weeks 24 and 48.

Results
Of the 153 participants (77 in the 1-dose group and 76 in the 2-dose group), the overall serological response rates at week 48 after revaccination were similar between the 2 groups (2- vs 1-dose, 80.2% vs 71.4%, P = .20). However, anti-HAV antibody titers were consistently higher in the 2-dose group than in the 1-dose group. In subgroup analysis, PWH who were nonresponders to primary HAV vaccination were significantly more likely to mount a serological response after 2-dose HAV revaccination (68.4% vs 44.1%, P = .038). No severe adverse events were reported throughout the study.

Conclusions
Two-dose HAV revaccination administered 4 weeks apart yielded similar serological responses as 1-dose revaccination among PWH who were nonresponders or had seroreversion after primary HAV vaccination. The 2-dose revaccination schedule generated significantly higher anti-HAV antibody titers and was more likely to elicit serological responses at week 48 among PWH who were nonresponders to primary HAV vaccination.
Clinical Trials Registration. NCT03855176.
NODSTAC: Novel Outlier Detection Technique Based on Spatial, Temporal and Attribute Correlations on IoT Bigdata
Authors: Brahmam M Veera , Gopikrishnan S 
Published: April 2023

Abstract
An outlier in the Internet of Things is an immediate change in data induced by a significant difference in the atmosphere (Event) or sensor malfunction (Error). Outliers in the data cause the decision-maker to make incorrect judgments about data analysis. Hence it is essential to detect outliers in any discipline. The detection of outliers becomes the most crucial task to improve sensor data quality and ensure accuracy, reliability and robustness. In this research, a novel outlier detection technique based on spatial, temporal correlations and attribute correlations is proposed to detect outliers (both Errors and Events). This research uses a correlation measure in the temporal correlation algorithm to determine outliers and the spatial correlation algorithm to classify the outliers, whether the outliers are events or errors. This research uses optimal clusters to improve network lifetime, and malicious nodes were also detected based on spatial–temporal correlations and attribute correlations in these clusters. The experimental results proved that the proposed method in this research outperforms some other models in terms of accuracy against the percentage of outliers infused and detection rate against the false alarm rate.
Multiple staging investigations may not change management in patients with high-grade dysplasia or early esophageal adenocarcinoma
Authors: Reyhani A , Gimson E , Baker C , Kelly M , Maisey N , Meenan J , Subesinghe M , Hill M , Lagergren J , Gossage J , Zeki S , Dunn J , Davies A 
Published: April 2023

Summary
The clinical value of multiple staging investigations for high-grade dysplasia or early adenocarcinoma of the esophagus is unclear. A single-center prospective cohort of patients treated for early esophageal cancer between 2000 and 2019 was analyzed. This coincided with a transition period from esophagectomy to endoscopic mucosal resection (EMR) as the treatment of choice. Patients were staged with computed tomography (CT), endoscopic ultrasound (EUS) and 2-deoxy-2-[18F]fluoro-d-glucose (FDG) positron emission tomography(PET)/CT. The aim of this study was to assess their accuracy and impact on clinical management. 297 patients with high-grade dysplasia or early adenocarcinoma were included (endoscopic therapy/EMR n = 184; esophagectomy n = 113 [of which a ‘combined’ group had surgery preceded by endoscopic therapy n = 23]). Staging accuracy was low (accurate staging EMR: CT 40.1%, EUS 29.6%, FDG-PET/CT 11.0%; Esophagectomy: CT 43.3%, EUS 59.7%, FDG-PET/CT 29.6%; Combined: CT 28.6%, EUS46.2%, FDG-PET/CT 30.0%). Staging inaccuracies across all groups that could have changed management by missing T2 disease were CT 12%, EUS 12% and FDG-PET/CT 1.6%. The sensitivity of all techniques for detecting nodal disease was low (CT 12.5%, EUS 12.5%, FDG-PET/CT0.0%). Overall, FDG-PET/CT and EUS changed decision-making in only 3.2% of patients with an early cancer on CT and low-risk histology. The accuracy of staging with EUS, CT and FDG-PET/CT in patients with high-grade dysplasia or early adenocarcinoma of the esophagus is low. EUS and FDG-PET/CT added relevant staging information over standard CT in very few cases, and therefore, these investigations should be used selectively. Factors predicting the need for esophagectomy are predominantly obtained from EMR histology rather than staging investigations.
Staphylococcus lugdunensis infective endocarditis with perforation of the sinus of Valsalva: a case report
Authors: Silvis M J M , van den Heuvel F M A , van Garsse L , Nijveldt R 
Published: April 2023

Abstract

Background
Staphylococcus lugdunensis endocarditis is a rare but fulminant disease.

Case summary
A 74-year-old female with a history of asymptomatic severe aortic valve stenosis and permanent atrial fibrillation presented with acute onset of fever (39.0°C). Electrocardiogram showed diffuse ST-segment elevation. She was hospitalized for further analysis. All blood cultures were positive for Staphylococcus lugdunensis and antibiotic treatment was started. Transthoracic echocardiography (TTE) showed known aortic valve stenosis without clear signs of endocarditis. The following day, a transoesophageal echocardiogram (TEE) showed a new moderate aortic valve regurgitation, new pericardial effusion (PE), and a thickened sinus of Valsalva (SOV) consistent with endocarditis with paravalvular involvement. Positron emission tomography-computed tomography was consistent with aortic valve endocarditis with paravalvular expansion. The patient was transferred to a tertiary referral centre for surgical treatment. On admission, patient was in shock and a second TTE revealed a new systolic and diastolic flow through the SOV to the right ventricle indicating SOV perforation. Additionally, there was flow in the PE suggestive of perforation of one of the cardiac chambers or large vessels. Emergent surgery showed extended infection with SOV perforation and a large perforation of the right ventricle. Ultimately, patient died during the operation because of extensive infection and refractory shock.

Conclusion
Staphylococcus lugdunensis endocarditis is a severe disease with poor response to conventional anti-microbial treatment, destructive complications requiring surgery, and has a high mortality risk.
Sequential transcatheter aortic and pulmonic valve replacement in bioprosthetic valve dysfunction: a case report
Authors: Gustafson Shanshan , Kulkarni Ameya , Galper Benjamin , Berry Natalia 
Published: April 2023

Abstract

Background
Transcatheter valve replacement is a less invasive alternative to surgical valve replacement and has become increasingly popular. It is often the preferred approach for patients with high surgical risk. In patients with multiple prior sternotomies and multi-valvular failure, sequential transcatheter valve replacements may be a viable option.

Case summary
We present the case of a 61-year-old-man with two prior sternotomies who underwent sequential transcatheter replacements of the aortic and pulmonic valves for symptomatic aortic and pulmonary stenosis. He was deemed high risk for a repeat sternotomy. The decision to perform sequential transcatheter aortic valve replacement (TAVR) and transcatheter pulmonic valve replacement (TPVR) a month apart was made. Patient underwent valve-in-valve TAVR in a stentless bioprosthetic valve with 29-mm Edwards Sapien 3 followed by TPVR with 26-mm Edwards Sapien 3. He tolerated both procedures well and was asymptomatic at 1-month follow up.

Discussion
To our knowledge, this is the first reported successful case of sequential TAVR and TPVR with right ventricular outflow tract stenting in a patient with both aortic and pulmonic bioprosthetic valve dysfunction. Our case demonstrates that transcatheter approach to multi-valvular replacements may be a viable option for high-risk surgical patients.