bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of drying condition on the drying constants and activation energy for robusta coffee using heat pump drying
Authors: Fauzi M B , Kosasih E A , Dzaky M I 
Published: July 2024

Abstract
Heat pump drying (HPD) is a method of drying agricultural products which has great potential due to its high efficiency and energy savings. Coffee is a heat sensitive product, HPD was chosen as an alternative to existing drying methods for coffee processing. Understanding of the HPD process is important to know for optimizing the coffee drying process with HPD especially in drying characteristics. The purpose of this research is to determine the number for the drying rate constant and the energy of activation in coffee drying. The material used in this study was wet parchment Robusta coffee beans (Coffea canephora). The research was carried out experimentally for 5 h at 700 lpm air flow with varying drying air conditions by adjusting the drying temperature and specific humidity. The drying temperatures used were 60, 65, 70, 75, and 80 °C. The drying temperature is limited to 80 °C based on SNI 7467-2008. Variations in specific humidity are determined based on temperature settings in the refrigeration system of 10, 15, 20 °C and without a refrigeration system. The maximum drying rate constant was 10.69×10-3 s-1, achieved at a temperature of drying variation of 80 °C while a specific humidity of 6.16 g H2O/kg dry air, while the minimum activation energy value was 23.43 kJ/mol at the same specific humidity. The lowest drying rate constant value was 5.79×10-3 s-1, achieved at a temperature of drying variation of 60 °C and a specific humidity of 17.24 g H2O/kg dry air, while the greatest activation energy level was 26.18 kJ/mol at the same specific humidity.
Research on the adaptability of energy management to thermal management of PEMFCs
Authors: Luo Y , Ali M A H , Ghazali N N N , Chong W T , Liu H C , Chen H , Zhang S K 
Published: July 2024

Abstract
The stable output of power and the effective control of stack temperature play a very important role in the durability and stability of fuel cell hybrid vehicles. In actual working conditions, energy management of power system and thermal management of Proton Exchange Membrane Fuel Cells (PEMFCs) need to be coordinated with each other to jointly ensure the efficient and stable operation of vehicles, however, most of the research in these two directions is independent. In response to the research gaps mentioned above, the concept of adaptability has been proposed for the first time with the aim of combining these two systems for research. This paper takes the fuel cell hybrid vehicle as the research object and establishes the energy management system and thermal management system model based on Matlab/Simulink software. In order to investigate the adaptability of energy management strategies to the temperature control system, two representative types of rule-based and optimization-based energy management strategies (power-following strategy, PFS, and adaptive equivalent hydrogen consumption minimization strategy, A-EHMS) are designed to be numerically simulated in the driving cycle condition of the UDDS, and then combined with the temperature control system of the fuel cell to comparatively analyze the above two types of energy management strategies from the perspectives of power allocation and the impact on the thermal management system. The results show that the PFS provides better protection for the battery under the same operating conditions. And from the perspective of fuel economy and adaptability to the temperature control system, the fuel consumption of A-EHMS is reduced by 12.5% and the adaptability to the temperature control system is improved by about 13.5% compared to PFS.
Fabricating vascularized, anatomically accurate bone grafts using 3D bioprinted sectional bone modules, in-situ angiogenesis, BMP-2 controlled release, and bioassembly
Authors: Grottkau Brian E , Hui Zhixin , Ran Chongzhao , Pang Yonggang 
Published: July 2024

Abstract
Bone grafting is the most common treatment for repairing bone defects. However, current bone grafting methods have several drawbacks. Bone tissue engineering emerges as a promising solution to these problems. An ideal engineered bone graft should exhibit high mechanical strength, osteogenic properties, and pre-vascularization. Both top–down (using bulk scaffold) and bottom–up (using granular modules) approaches face challenges in fulfilling these requirements. In this paper, we propose a novel sectional modular bone approach to construct osteogenic, pre-vascularized bone grafts in anatomical shapes. We 3D-printed a series of rigid, thin, sectional, porous scaffolds from a biodegradable polymer, tailored to the dimensions of a femur bone shaft. These thin sectional modules promote efficient nutrition and waste removal due to a shorter diffusion distance. The modules were pre-vascularized via in-situ angiogenesis, achieved through endothelial cell sprouting from the scaffold struts. Angiogenesis was further enhanced through co-culture with bioprinted fibroblast microtissues, which secreted pre-angiogenic growth factors. Sectional modules were assembled around a porous rod incorporated with Bone Morphogenetic Protein-2 (BMP-2), which released over 3 weeks, demonstrating sustained osteogenic activity. The assembled scaffold, in the anatomical shape of a human femur shaft, was pre-vascularized, osteogenic, and possessed high mechanical strength, supporting 12 times the average body weight. The feasibility of implanting the assembled bone graft was demonstrated using a 3D-printed femur bone defect model. Our method provides a novel modular engineering approach for regenerating tissues that require high mechanical strength and vascularization.
Event-triggered based adjustable containment control scheme design for multi-agent systems
Authors: Jiang Mengyi , Yang Yonghui , Gao Chuang , Pogodaev Anatolii K 
Published: July 2024

Abstract
The traditional containment control problem uses a mapping method with a fixed communication topology to generate a set of reference signals for followers, which may lead to a situation where the position of the reference signal cannot be adjusted and causes collisions. Therefore, based on backstepping theory, we propose a novel containment control scheme to address this problem, where the generated reference signals can be adjusted arbitrarily. In particular, it is important to point out that an estimator is designed to guide the follower if the reference signal is not available, so that the collision problem is avoided. In addition, the computational complexity of the controller is also reduced and the communication resources are saved by introducing the command filters and event-triggered mechanism. It is proved that the tracking errors of the closed multi-agent systems are uniformly and ultimately bounded through Lyapunov theory. Finally, experimental simulations verify that the proposed control scheme is reasonable and effective. Furthermore, the proposed scheme provides a more flexible solution for containment control studies, especially for collision avoidance research of multi-agents.
Social and environmental outcomes of urban street tree bed stewardship
Authors: Heid Kelly Baldwin , Sousa-Silva Rita , Sachs Ashby Lavelle , Fünfgeld Hartmut 
Published: July 2024

Abstract
As projections of exponential urbanization persist, promoting the health of urban populations is one of the most urgent and challenging issues of the 21st century. By taking a planetary health approach and considering the reciprocal relationship between human health and the health of ecosystems, the integration of nature-based solutions into cities can address multiple urban challenges at once. Citizen stewardship of street trees and street tree beds is one such nature-based solution that challenges rapid urbanization while offering a healthier and greener future. Not only does citizen stewardship of street trees play a significant role in tree longevity, but our research suggests that the process of stewardship itself also positively impacts the health and wellbeing of stewards themselves. In this study, we sought to assess the motivations of street tree citizen stewards and the perceived social, environmental, and health effects of stewarding street tree beds in Freiburg, Germany. Based on a questionnaire-based survey and semi-structured interviews with tree stewards, we found that the most common motivations of citizen stewards were modeling positive environmental behavior as well as a desire to help the environment and one’s community. The perceived outcomes included a strong sense of place, a meaningful connection to nature, and the belief that stewarding a street tree bed is good for one’s mental health as well as the environment. Participants also considered street tree beds to be their personal gardens, suggesting that street tree beds may serve as restorative spaces that strengthen public health and social capital while sustaining urban greening. This case study supports and expands the scientific discourse of urban gardening while suggesting that citizen stewardship of street trees and tree beds offers myriad co-benefits for urban ecosystems and public health.
The electronic frailty index and outcomes in patients with myocardial infarction
Authors: Lowry Matthew T H , Kimenai Dorien M , Doudesis Dimitrios , Georgiev Konstantin , McDermott Michael , Bularga Anda , Taggart Caelan , Wereski Ryan , Ferry Amy V , Stewart Stacey D , Tuck Christopher , Newby David E , Mills Nicholas L , Anand Atul 
Published: July 2024

Abstract

Background
Frailty is increasingly present in patients with acute myocardial infarction. The electronic Frailty Index (eFI) is a validated method of identifying vulnerable older patients in the community from routine primary care data. Our aim was to assess the relationship between the eFI and outcomes in older patients hospitalised with acute myocardial infarction.

Study design and setting
Retrospective cohort study using the DataLoch Heart Disease Registry comprising consecutive patients aged 65 years or over hospitalised with a myocardial infarction between October 2013 and March 2021.

Methods
Patients were classified as fit, mild, moderate, or severely frail based on their eFI score. Cox-regression analysis was used to determine the association between frailty category and all-cause mortality.

Results
In 4670 patients (median age 77 years [71–84], 43% female), 1865 (40%) were classified as fit, with 1699 (36%), 798 (17%) and 308 (7%) classified as mild, moderate and severely frail, respectively. In total, 1142 patients died within 12 months of which 248 (13%) and 147 (48%) were classified as fit and severely frail, respectively. After adjustment, any degree of frailty was associated with an increased risk of all-cause death with the risk greatest in the severely frail (reference = fit, adjusted hazard ratio 2.87 [95% confidence intervals 2.24 to 3.66]).

Conclusion
The eFI identified patients at high risk of death following myocardial infarction. Automatic calculation within administrative data is feasible and could provide a low-cost method of identifying vulnerable older patients on hospital presentation.
Cardiovascular risk associated with changes in anticholinergic load on four different scales: a registry-based cohort study of geriatric outpatients
Authors: Riis Johannes , Kragholm Kristian , Søndergaard Marc Meller , Clemmensen Silas , Hansen Lene Torp , Torp-Pedersen Christian , Melgaard Dorte 
Published: July 2024

Abstract

Background
Recent studies have shown that anticholinergic medications are associated with cardiovascular disease. Little is known about how discontinuation of anticholinergic medication affects this association. We investigated how baseline anticholinergic load and change in anticholinergic load associates with major adverse cardiovascular events (MACE) on four different scales.

Methods
We included all geriatric outpatients aged 65 and older in Denmark between January 2011 and December 2018. Data were sourced from Danish national registries. Anticholinergic drug exposure was assessed at first contact to the outpatient clinic (baseline) and changes were assessed at 180 days after outpatient contact. Anticholinergic scales were the CRIDECO Anticholinergic Load Scale, Anticholinergic Drugs Scale, Anticholinergic Cognitive Burden and a scale by the Danish Institute of Rational Pharmacotherapy. Multivariate analyses were conducted to investigate the 1- and 5-year risk of MACE by baseline anticholinergic load and changes in anticholinergic load after 180 days.

Results
We included a total of 64 378 patients in the analysis of baseline anticholinergic load and 54 010 patients remained after 180 days for inclusion in the analysis of change in anticholinergic load. At baseline the mean age was 81.7 year (SD 7.5) and 68% were women. Higher level of anticholinergic load on any scale associated with greater risk of MACE in a dose response pattern. There were no association between reduction in anticholinergic load and risk of MACE.

Conclusion
While anticholinergic load at baseline was associated with MACE, reducing anticholinergic load did not lower the risk of MACE indicating the association may not be causal.
Can metformin prevent cancer relative to sulfonylureas? A target trial emulation accounting for competing risks and poor overlap via double/debiased machine learning estimators
Authors: Xu Shenbo , Zheng Bang , Su Bowen , Finkelstein Stan Neil , Welsch Roy , Ng Kenney , Shahn Zach 
Published: July 2024

Abstract
There is mounting interest in the possibility that metformin, indicated for glycemic control in type 2 diabetes, has a range of additional beneficial effects. Randomized trials have shown that metformin prevents adverse cardiovascular events, and metformin use has also been associated with reduced cognitive decline and cancer incidence. In this paper, we dig more deeply into whether metformin prevents cancer by emulating target randomized trials comparing metformin to sulfonylureas as first-line diabetes therapy using data from the Clinical Practice Research Datalink, a UK primary-care database (1987-2018). We included 93 353 individuals with diabetes, no prior cancer diagnosis, no chronic kidney disease, and no prior diabetes therapy who initiated use of metformin (n = 79 489) or a sulfonylurea (n = 13 864). In our cohort, the estimated overlap-weighted additive separable direct effect of metformin compared with sulfonylureas on cancer risk at 6 years was −1 percentage point (95% CI, −2.2 to 0.1), which is consistent with metformin’s providing no direct protection against cancer incidence or substantial protection. The analysis faced 2 methodological challenges: (1) poor overlap and (2) precancer death as a competing risk. To address these issues while minimizing nuisance model misspecification, we develop and apply double/debiased machine learning estimators of overlap-weighted separable effects in addition to more traditional effect estimates.
This article is part of a Special Collection on Pharmacoepidemiology.
Risk factors for treatment of asymptomatic bacteriuria in a rural health system
Authors: Rang Miranda , Nasser Rana , Gabor Rachel , Whitfield Philip 
Published: July 2024

Abstract

Purpose
Asymptomatic bacteriuria is often inappropriately treated, leading to antimicrobial-related adverse events and contributing to antimicrobial resistance. This study examined the asymptomatic bacteriuria treatment rate at a rural Wisconsin health system and the patient-specific factors that may be influencing clinicians’ decisions to treat.

Methods
This is a retrospective descriptive report of patients admitted from January to May 2022 at 7 rural Wisconsin hospitals. Patients were included if they were a hospitalized adult with asymptomatic bacteriuria. Patients were excluded if they had a urinary tract abnormality, active infection, symptoms of a urinary tract infection, a planned urological surgery, or treatment or prophylaxis for a urinary tract infection within 72 hours of admission, were immunocompromised, or were transferred from an outside facility. Electronic and manual chart abstraction were used for data collection.

Results
Of 429 patients with a positive urine culture, 137 patients with asymptomatic bacteriuria were included in the study. The median age was 75 years, and most patients were female (80.3%). The treatment rate of asymptomatic bacteriuria was 78.1%, amounting to 393 days of unnecessary antimicrobial therapy. Symptoms of fatigue (P = 0.014) and altered mentation (P &lt; 0.006) and urinalysis results of nitrite positivity (P = 0.026) and pyuria (P &lt; 0.001) were each independently associated with antimicrobial treatment.

Conclusion
Despite guideline recommendations to avoid treatment of asymptomatic bacteriuria, treatment rates in rural hospitalized patients remain high. Nonspecific signs and symptoms of altered mentation and fatigue as well as laboratory findings of nitrite positivity and pyuria were factors associated with a decision to treat. Future stewardship efforts should speak to the poor specificity of these factors.
Intravenous push lacosamide: Successful implementation and patient outcomes across a health system
Authors: Spangler Julie R , Young Sarah , Carr Dustin R , Finoli Lauren 
Published: July 2024

Abstract

Purpose
Intravenous administration of the antiseizure medication lacosamide can be delayed given operational challenges related to short beyond-use-dating and controlled substance requirements. The purpose of this study was to describe the steps required to successfully transition from intravenous piggyback administration to intravenous push administration and demonstrate that workflow changes improved time to administration without compromising patient safety.

Methods
This multicenter study had 2 components; the first portion was a prospective description of the implementation and operationalization process, while the second was a retrospective cohort analysis comparing patients who received intravenous piggyback and intravenous push lacosamide. After the transition, the default administration route for adult patients for lacosamide doses of 400 mg or less was intravenous push. While the primary objective was to describe the implementation process, secondary objectives included comparison of time to administration and safety, using a composite and incidence of PR prolongation.

Results
Success in implementation and operationalization across a large health system was achieved by following a 6-month timeline. A total of 102 patients were included in the cohort study, with 869 individual administrations analyzed (519 intravenous piggyback and 350 intravenous push). Time from verification to administration was significantly decreased when comparing intravenous piggyback (median, 159 minutes) to intravenous push (median, 88 minutes) administrations (P = 0.008). No significant difference was found in the safety composite or PR prolongation.

Conclusion
Transitioning intravenous lacosamide administration from piggyback to push administration is feasible and decreases time from verification to administration without increased incidence of adverse effects.
Enhancing predictions of protein stability changes induced by single mutations using MSA-based language models
Authors: Cuturello Francesca , Celoria Marco , Ansuini Alessio , Cazzaniga Alberto 
Published: July 2024

Abstract

Motivation
Protein language models offer a new perspective for addressing challenges in structural biology, while relying solely on sequence information. Recent studies have investigated their effectiveness in forecasting shifts in thermodynamic stability caused by single amino acid mutations, a task known for its complexity due to the sparse availability of data, constrained by experimental limitations. To tackle this problem, we introduce two key novelties: leveraging a protein language model that incorporates Multiple Sequence Alignments to capture evolutionary information, and using a recently released mega-scale dataset with rigorous data preprocessing to mitigate overfitting.

Results
We ensure comprehensive comparisons by fine-tuning various pretrained models, taking advantage of analyses such as ablation studies and baselines evaluation. Our methodology introduces a stringent policy to reduce the widespread issue of data leakage, rigorously removing sequences from the training set when they exhibit significant similarity with the test set. The MSA Transformer emerges as the most accurate among the models under investigation, given its capability to leverage co-evolution signals encoded in aligned homologous sequences. Moreover, the optimized MSA Transformer outperforms existing methods and exhibits enhanced generalization power, leading to a notable improvement in predicting changes in protein stability resulting from point mutations.

Availability and implementation
Code and data at https://github.com/RitAreaSciencePark/PLM4Muts.
Genome-wide analysis and visualization of copy number with CNVpytor in igv.js
Authors: Panda Arijit , Suvakov Milovan , Thorvaldsdottir Helga , Mesirov Jill P , Robinson James T , Abyzov Alexej 
Published: July 2024

Abstract

Summary
Copy number variation (CNV) and alteration (CNA) analysis is a crucial component in many genomic studies and its applications span from basic research to clinic diagnostics and personalized medicine. CNVpytor is a tool featuring a read depth-based caller and combined read depth and B-allele frequency (BAF) based 2D caller to find CNVs and CNAs. The tool stores processed intermediate data and CNV/CNA calls in a compact HDF5 file—pytor file. Here, we describe a new track in igv.js that utilizes pytor and whole genome variant files as input for on-the-fly read depth and BAF visualization, CNV/CNA calling and analysis. Embedding into HTML pages and Jupiter Notebooks enables convenient remote data access and visualization simplifying interpretation and analysis of omics data.

Availability and implementation
The CNVpytor track is integrated with igv.js and available at https://github.com/igvteam/igv.js. The documentation is available at https://github.com/igvteam/igv.js/wiki/cnvpytor. Usage can be tested in the IGV-Web app at https://igv.org/app and also on https://github.com/abyzovlab/CNVpytor.