bluuebunny/crossref_metadata_2025_split huggingface dataset:
Direct 3D printing of freeform anisotropic bioactive structure based on shear-oriented ink system
Authors: Yuan Chenhui , Jiang Jinhong , Zhang Xinyu , Gu Lin , Wang Xueping , Shao Lei 
Published: July 2024

Abstract
Various anisotropic tissue structures exist in organisms, including muscle tissue, skin tissue, and nerve tissue. Replicating anisotropic tissue structures in vitro has posed a significant challenge. Three-dimensional (3D) printing technology is often used to fabricate biomimetic structures due to its advantages in manufacturing principle. However, direct 3D printing of freeform anisotropic bioactive structures has not been reported. To tackle this challenge, we developed a ternary F/G/P ink system that integrates the printability of Pluronic F127 (F), the robust bioactivity and photocrosslinking properties of gelatin methacryloyl (G), and the shear-induced alignment functionality of high-molecular-weight polyethylene glycol (P). And through this strategic ternary system combination, freeform anisotropic tissue structures can be 3D printed directly. Moreover, these anisotropic structures exhibit excellent bioactivity, and promote orientational growth of different cells. This advancement holds promise for the repair and replacement of anisotropic tissues within the human body.
Facile printing of liquid–metal-based stretchable conductor using EGaIn/Ga2O3 composite
Authors: Wang Yi-Fei , Kaneko Takeru , Yoshida Ayako , Takeda Yasunori , Yoshida Junya , Sekine Tomohito , Kumaki Daisuke , Tokito Shizuo 
Published: July 2024

Abstract
Printing gallium-based liquid metals (LMs) poses a significant challenge due to their high surface tension. In this work, we introduce a printable LM-based conductor using an EGaIn/Ga2O3 composite. This composite is achieved through a simple mixing process and is suitable for scalable stencil printing. The blend ratio of EGaIn/Ga2O3 is optimized to create LM pastes with an excellent balance of printability and electromechanical performance. Using these developed LM pastes, we successfully demonstrate a stretchable strain sensor with a gauge factor of 2 for monitoring human hand gestures. Additionally, we showcase a stretchable LED array deformable for up to 100% strain.
Stochastic eigenvalue computation for cantilever beam dynamics using eigenvector-based polynomial chaos expansion
Authors: Kumar Rakesh 
Published: July 2024

Abstract
This paper presents an innovative technique for ascertaining the eigenfrequencies of beams characterized by a random elastic modulus. Our method leverages Polynomial Chaos Expansion (PCE), uniquely focusing on the expansion of eigen vectors rather than the conventional approach of expanding both eigenvalues and eigenvectors. An exceptional aspect of our proposed methodology lies in its seamless integration with the widely-utilized MATLAB ‘eig’ tool, offering a more accessible and efficient solution. To validate the accuracy of our proposed method, we performed comparisons against Monte Carlo simulations, showcasing excellent agreement with both benchmarks. Notably, the mean of our method demonstrates consistent alignment with Monte Carlo simulations, further affirming its precision. We further investigated the computational cost of our method and contrasted it with Monte Carlo simulations, demonstrating its efficiency and computational advantages.
Central lines, aseptic batching services, and infection rates: A pharmacy-led initiative of intravenous tube priming within a NICU
Authors: Zackeroff Sydney , Nash David , McDermott Kathleen , Miller Rachel R , Pasquini Grace 
Published: July 2024

Abstract

Purpose
Central line–associated bloodstream infections (CLABSIs) are hospital-acquired, serious complications that greatly affect many vulnerable neonates throughout their hospital stay. This article describes the implementation of a unique practice in which pharmacy primes continuous infusions through medication tubing for neonatal central lines in a cleanroom at Children’s Hospital Colorado – Colorado Springs (CHCO-CSH).

Summary
This institution is a freestanding children’s hospital with a level III neonatal intensive care unit (NICU) that opened in April 2019. Since then, the pharmacy department has been priming central line tubing for continuous infusions for all patients in the NICU. Neonates are at increased risk for developing CLABSIs due to their immature immune systems and frequent need for central line placement. With that in mind, the pharmacy department decided to focus efforts on this population. Pharmacists and pharmacy technicians received training on how to properly prime tubing, document when a patient received a new central line, document if a central line was removed, and record when new tubing was due based on a department policy.

Conclusion
This novel, pharmacy-led priming procedure resulted in a low CLABSI incidence, offering a promising strategy to reduce CLABSIs in a NICU.
A possible case of adaptive radiation in cycads. A commentary on ‘Transcriptome sequencing data provide a solid base to understand the phylogenetic relationships, biogeography and reticulated evolution of the genus Zamia L. (Cycadales: Zamiaceae)’
Authors: Gutiérrez-Ortega José Said , Villarreal A. Juan Carlos 
Published: July 2024

This article comments on:
Anders Lindstrom, Sadaf Habib, Shanshan Dong, Yiqing Gong, Jian Liu, Michael Calonje, Dennis Stevenson and Shouzhou Zhang, Transcriptome sequencing data provide a solid base to understand the phylogenetic relationships, biogeography and reticulated evolution of the genus Zamia L. (Cycadales: Zamiaceae), Annals of Botany, Volume 134, Issue 5, 1 November 2024, Pages 747–768 https://doi.org/10.1093/aob/mcae065
Normative Data for the Famous People Fluency Test in the Adult French-Quebec Population and Validation Study in Mild Cognitive Impairment and Alzheimer’s Disease
Authors: Macoir Joël , Landry Mariane , Hudon Carol 
Published: July 2024

Abstract

Objective
The production of words in verbal fluency tests relies heavily on executive functions and linguistic abilities. New tests such as the famous people fluency test can also be useful in clinical practice and research. This test, in which participants are asked to name so many famous people, has the potential to distinguish healthy individuals from participants with neurological disorders such as mild cognitive impairment or Alzheimer’s disease.

Method
The aim of this study was to determine the psychometric validity of the test (Study 1) and to provide normative data in the adult population of French Quebec for the famous people fluency test (Study 2).

Results
The results of the normative study, derived from a sample of 378 healthy individuals between the ages of 50 and 92, showed that age and educational level significantly influence performance on the test. Therefore, percentile ranks were calculated for performance on the famous people fluency test, stratified for these two variables. The results of Study 2 showed that the test differentiated the performance of healthy participants from the performance of participants with mild cognitive impairment or Alzheimer’s disease. The results also showed that the famous people fluency test has adequate convergent validity, established with a semantic fluency test, and that the results showed good stability over time (test–retest validity).

Conclusion
Norms and psychometric data for the famous people fluency test will improve the ability of clinicians and researchers to better recognize executive and language impairments associated with pathological conditions.
Highly accurate classification and discovery of microbial protein-coding gene functions using FunGeneTyper: an extensible deep learning framework
Authors: Zhang Guoqing , Wang Hui , Zhang Zhiguo , Zhang Lu , Guo Guibing , Yang Jian , Yuan Fajie , Ju Feng 
Published: July 2024

Abstract
High-throughput DNA sequencing technologies decode tremendous amounts of microbial protein-coding gene sequences. However, accurately assigning protein functions to novel gene sequences remain a challenge. To this end, we developed FunGeneTyper, an extensible framework with two new deep learning models (i.e., FunTrans and FunRep), structured databases, and supporting resources for achieving highly accurate (Accuracy &gt; 0.99, F1-score &gt; 0.97) and fine-grained classification of antibiotic resistance genes (ARGs) and virulence factor genes. Using an experimentally confirmed dataset of ARGs comprising remote homologous sequences as the test set, our framework achieves by-far-the-best performance in the discovery of new ARGs from human gut (F1-score: 0.6948), wastewater (0.6072), and soil (0.5445) microbiomes, beating the state-of-the-art bioinformatics tools and sequence alignment-based (F1-score: 0.0556–0.5065) and domain-based (F1-score: 0.2630–0.5224) annotation approaches. Furthermore, our framework is implemented as a lightweight, privacy-preserving, and plug-and-play neural network module, facilitating its versatility and accessibility to developers and users worldwide. We anticipate widespread utilization of FunGeneTyper (https://github.com/emblab-westlake/FunGeneTyper) for precise classification of protein-coding gene functions and the discovery of numerous valuable enzymes. This advancement will have a significant impact on various fields, including microbiome research, biotechnology, metagenomics, and bioinformatics.
Flow inefficiencies in non-obstructive HCM revealed by kinetic energy and hemodynamic forces on 4D-flow CMR
Authors: Pola K , Ashkir Z , Myerson S , Arheden H , Watkins H , Neubauer S , Arvidsson P M , Raman B 
Published: July 2024

Abstract

Aims
Patients with non-obstructive hypertrophic cardiomyopathy (HCM) exhibit myocardial changes which may cause flow inefficiencies not detectable on echocardiogram. We investigated whether left ventricular (LV) kinetic energy (KE) and hemodynamic forces (HDF) on 4D-flow cardiovascular magnetic resonance (CMR) can provide more sensitive measures of flow in non-obstructive HCM.

Methods and results
Ninety participants (70 with non-obstructive HCM and 20 healthy controls) underwent 4D-flow CMR. Patients were categorized as phenotype positive (P+) based on maximum wall thickness (MWT) ≥ 15 mm or ≥13 mm for familial HCM, or pre-hypertrophic sarcomeric variant carriers (P−). LV KE and HDF were computed from 4D-flow CMR. Stroke work was computed using a previously validated non-invasive method. P+ and P− patients and controls had comparable diastolic velocities and LV outflow gradients on echocardiography, LV ejection fraction, and stroke volume on CMR. P+ patients had greater stroke work than P− patients, higher systolic KE compared with controls (5.8 vs. 4.1 mJ, P = 0.0009), and higher late diastolic KE relative to P− patients and controls (2.6 vs. 1.4 vs. 1.9 mJ, P &lt; 0.0001, respectively). MWT was associated with systolic KE (r = 0.5, P &lt; 0.0001) and diastolic KE (r = 0.4, P = 0.005), which also correlated with stroke work. Systolic HDF ratio was increased in P+ patients compared with controls (1.0 vs. 0.8, P = 0.03) and correlated with MWT (r = 0.3, P = 0.004). Diastolic HDF was similar between groups. Sarcomeric variant status was not associated with KE or HDF.

Conclusion
Despite normal flow velocities on echocardiography, patients with non-obstructive HCM exhibited greater stroke work, systolic KE and HDF ratio, and late diastolic KE relative to controls. 4D-flow CMR provides more sensitive measures of haemodynamic inefficiencies in HCM, holding promise for clinical trials of novel therapies and clinical surveillance of non-obstructive HCM.
Joint and Individual Mitochondrial DNA Variation and Cognitive Outcomes in Black and White Older Adults
Authors: Odden Michelle C , Li Yongmei , Jotwani Vasantha , Dobrota Sylvie , Tan Annabel X , Cummings Steven R , Shlipak Michael G , Scherzer Rebecca , Ix Joachim H , Buckwalter Marion S , Tranah Gregory J 
Published: July 2024

Abstract

Background
Mitochondrial dysfunction manifests in neurodegenerative diseases and other age-associated disorders. In this study, we examined variation in inherited mitochondrial DNA (mtDNA) sequences in Black and White participants from 2 large aging studies to identify variants related to cognitive function.

Methods
Participants included self-reported Black and White adults aged ≥70 years in the Lifestyle Interventions and Independence for Elders (LIFE; N = 1 319) and Health Aging and Body Composition (Health ABC; N = 788) studies. Cognitive function was measured by the Digit-Symbol Substitution Test (DSST), and the Modified Mini-Mental State Examination (3MSE) at baseline and over follow-up in LIFE (3.6 years) and Health ABC (10 years). We examined the joint effects of multiple variants across 16 functional mitochondrial regions with cognitive function using a sequence kernel association test. Based on these results, we prioritized meta-analysis of common variants in Black and White participants using mixed effects models. A Bonferroni-adjusted p value of &lt;.05 was considered statistically significant.

Results
Joint variation in subunits ND1, ND2, and ND5 of Complex I, 12S RNA, and hypervariable region (HVR) were significantly associated with DSST and 3MSE at baseline. In meta-analyses among Black participants, variant m.4216T&gt;C, ND1 was associated with a faster decline in 3MSE, and variant m.462C&gt;T in the HVR was associated with a slower decline in DSST. Variant m.5460G&gt;C, ND2 was associated with slower and m.182C&gt;T in the HVR was associated with faster decline in 3MSE in White participants.

Conclusions
Among Black and White adults, oxidative phosphorylation Complex I variants were associated with cognitive function.
Sketch-and-solve approaches to k-means clustering by semidefinite programming
Authors: Clum Charles , Mixon Dustin G , O’Hare Kaiying , Villar Soledad 
Published: July 2024

Abstract
We study a sketch-and-solve approach to speed up the Peng–Wei semidefinite relaxation of $k$-means clustering. When the data are appropriately separated we identify the $k$-means optimal clustering. Otherwise, our approach provides a high-confidence lower bound on the optimal $k$-means value. This lower bound is data-driven; it does not make any assumption on the data nor how they are generated. We provide code and an extensive set of numerical experiments where we use this approach to certify approximate optimality of clustering solutions obtained by k-means++.
Identity in the Presence of Adjunction
Authors: Stroiński Mateusz 
Published: July 2024

AbstractWe develop a theory of adjunctions in semigroup categories, that is, monoidal categories without a unit object. We show that a rigid semigroup category is promonoidal, and thus one can naturally adjoin a unit object to it. This extends the previous results of Houston in the symmetric case, and addresses a question of his. It also extends the results in the non-symmetric case with additional finiteness assumptions, obtained by Benson–Etingof–Ostrik, Coulembier, and Ko–Mazorchuk–Zhang. We give an interpretation of these results using comonad cohomology, and, in the absence of finiteness conditions, using enriched traces of monoidal categories. As an application of our results, we give a characterization of finite tensor categories in terms of the finitary $2$-representation theory of Mazorchuk–Miemietz.
“For the first time…I am seriously fighting burnout”: clinician experiences with a challenging electronic health record transition
Authors: Ball Sherry L , Rucci Justin M , Molloy-Paolillo Brianne K , Cutrona Sarah L , Brunner Julian , Mohr David C , Kim Bo , Moldestad Megan , Zepeda E David , Orlander Jay D , Anderson Ekaterina , Cohen-Bearak Adena , Helfrich Christian D , Sayre George , Rinne Seppo T 
Published: July 2024

Abstract

Objectives
The Department of Veterans Affairs (VA) is transitioning from its legacy electronic health record (EHR) to a new commercial EHR in a nationwide, rolling-wave transition. We evaluated clinician and staff experiences to identify strategies to improve future EHR rollouts.

Materials and Methods
We completed a convergent mixed-methods formative evaluation collecting survey and interview data to measure and describe clinician and staff experiences. Survey responses were analyzed using descriptive statistics; interview transcripts were coded using a combination of a priori and emergent codes followed by qualitative content analysis. Qualitative and quantitative findings were compared to provide a more comprehensive understanding of participant experience. Employees of specialty and primary care teams at the first nationwide EHR transition site agreed to participate in our study. We distributed surveys at 1-month pre-transition, 2 months post-transition, and 10 months post-transition to each of the 68 identified team members and completed longitudinal interviews with 30 of these individuals totaling 122 semi-structured interviews.

Results
Interview participants reported profoundly disruptive experiences during the EHR transition that persisted at 1-year post implementation. Survey responses indicated training difficulties throughout the transition, and sharp declines (P ≤ .05) between pre- and post-go-live measures of EHR usability and increase in EHR burden that were perceived to be due in part to system inefficiencies, discordant positive messaging that initially ignored user challenges, and inadequate support for and attention to ongoing EHR issues. Participants described persistent high levels of stress associated with these disruptions.

Discussion
Our findings highlight strategies to improve employee experiences during EHR transitions: (1) working with Oracle Cerner to resolve known issues and improve usability; (2) role-based training with opportunities for self-directed learning; (3) peer-led support systems and timely feedback on issues; (4) messaging that responds to challenges and successes; and (5) continuous efforts to support staff with issues and address clinician and staff stress and burnout.

Conclusion
Our findings provide relevant strategies to navigate future EHR transitions while supporting clinical teams.
Death zone minimizes the impact of fipronil-treated soils on subterranean termite colonies by negating transfer effects
Authors: Chouvenc Thomas 
Published: July 2024

Abstract
The use of nonrepellent liquid termiticides against subterranean termites has long relied on the assumption that foraging termites in soils could transfer toxicants to nestmates to achieve population control. However, their dose-dependent lethal time can lead to rapid termite mortality in proximity of the treatment, triggering secondary repellency. The current study characterizes the dynamic nature of the “death zone,” i.e., the area adjacent to soil termiticides that termites would avoid owing the accumulation of cadavers. Using whole subterranean termite laboratory colonies of Coptotermes gestroi (Wasmann) with 3 × 15 m foraging distances, fipronil was implemented at 1.5 m, 7.5 m, or 12.5 m away from colony central nests, emulating a corrective action against an termite structural infestation. For treatments at 7.5 m and 12.5 m, the death zone stabilized at an average of ~2.56 m away from the treatment after 40 d post-treatment, and colonies suffered as little as 1.5% mortality by 200 d post-treatment. Colonies located 1.5 m away from the treatment minimized the death zone to ~1.1 m and suffered as little as 23.5% mortality. Mortality only occurred within the first few days of treatment from initial exposure, as the rapid emergence of the death zone negated further transfer effects among nestmates over time. In some cases, foraging termites were trapped within the infested structure. While technically nonrepellent, fipronil becomes functionally repellent from the rapid mortality onset near the treatment. Even if diligently implemented to successfully protect structures, surrounding termite colonies are minimally impacted by fipronil soil treatments.
Sustainable production of 2,3,5,6-Tetramethylpyrazine at high titer in engineered Corynebacterium glutamicum
Authors: Srinivasan Aparajitha , Chen-Xiao Kevin , Banerjee Deepanwita , Oka Asun , Pidatala Venkataramana R , Eudes Aymerick , Simmons Blake A , Eng Thomas , Mukhopadhyay Aindrila 
Published: July 2024

Abstract

The industrial amino acid production workhorse, Corynebacterium glutamicum naturally produces low levels of 2,3,5,6-tetramethylpyrazine (TMP), a valuable flavor, fragrance, and commodity chemical. Here, we demonstrate TMP production (∼0.8 g L−1) in C. glutamicum type strain ATCC13032 via overexpression of acetolactate synthase and/or α-acetolactate decarboxylase from Lactococcus lactis in CGXII minimal medium supplemented with 40 g L−1 glucose. This engineered strain also demonstrated growth and TMP production when the minimal medium was supplemented with up to 40% (v v−1) hydrolysates derived from ionic liquid-pretreated sorghum biomass. A key objective was to take the fully engineered strain developed in this study and interrogate medium parameters that influence the production of TMP, a critical post-strain engineering optimization. Design of experiments in a high-throughput plate format identified glucose, urea, and their ratio as significant components affecting TMP production. These two components were further optimized using response surface methodology. In the optimized CGXII medium, the engineered strain could produce up to 3.56 g L−1 TMP (4-fold enhancement in titers and 2-fold enhancement in yield, mol mol−1) from 80 g L−1 glucose and 11.9 g L−1 urea in shake flask batch cultivation.

One-Sentence Summary
Corynebacterium glutamicum was metabolically engineered to produce 2,3,5,6-tetramethylpyrazine followed by a design of experiments approach to optimize medium components for high-titer production.
Effects of cold and hot temperatures on the renal function of people with chronic disease
Authors: Park Min Young , Ahn Joonho , Bae S , Chung B H , Myong Jun-Pyo , Lee Jongin , Kang Mo-Yeol 
Published: July 2024

Abstract

Objectives
This study investigated the effects of hot and cold temperature on the renal function of people with chronic diseases, such as diabetes, hypertension, and chronic kidney disease, using large-scale clinical data.

Methods
We used retrospective cohort data from the Clinical Data Warehouse of the Seoul St Mary’s Hospital, which contains clinical, diagnostic, laboratory, and other information about all patients who have visited the hospital since 1997. We obtained climate data from the Automated Synoptic Observing System of the Korea Meteorological Administration. The heat index was used as a measuring tool to evaluate heat exposure by indexing the actual heat that individuals feel according to temperature and humidity. The estimated glomerular filtration rate (eGFR) was calculated using the Chronic Kidney Disease Epidemiology Collaboration equation. To investigate changes in renal function trends with heat index, this study used generalized additive mixed models.

Results
Renal function decreased linearly with increasing heat index after approximately 25°C, which was considered the flexion point of temperature. A linear decrease in the eGFR was observed with the effects of 0 to 5 lag days. Although there was a correlation observed between the decrease in eGFR and temperatures below −10°C, the results did not indicate statistical significance.

Conclusions
The results of our study provide scientific evidence that high temperatures affect the renal function of people with chronic diseases. These results can help prevent heat-related morbidity by identifying those who are more likely to develop renal disease and experience worsening renal function.