bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Energy Management Strategy of Pure Electric Mini Hydraulic Excavator
Authors: Li Bingcheng , Wang Qingfeng , Wang Tao , Song Jun 
Published: November 2023

Abstract
Pure Electric Mini Hydraulic Excavators (PEMHE), endowed with zero-emission, compactness, and quick dynamic properties, play an indispensable role in confined spaces and scenes demanding rapid, precise operations. Nevertheless, the stringent need for installation space significantly curtails the maximum battery capacity that the excavators can accommodate, subsequently making the enhancement of the average operation time per charge a significant challenge. This paper focuses on alleviating the power shortage conundrum in the PEMHE. Firstly, an appropriate radiator structure is designed based on Computation Fluid Dynamics (CFD) simulation to reduce the rated power of the Thermal Management Control System (TMCS). Secondly, an energy-saving control algorithm is designed for the TMCS. Finally, a dynamic programming (DP)-based offline energy management strategy is proposed for a double-variable hydraulic source made up of a Permanent Magnet Synchronous Motor (PMSM) and an electro-hydraulic proportional displacement control pump. The effectiveness of the proposed theoretical method is validated through simulation. Results demonstrated that the designed radiator traded a limited pressure loss for higher heat dissipation efficiency, and the control algorithm saved 20.8% power in comparison with a traditional set-value control. The proposed offline energy management strategy revealed an energy-saving potential of 1.08 kWh per complete discharge cycle of battery under typical excavation condition. This research provides a benchmark for online energy management strategy development and serves as a reference for energy-saving design in other types of electric hydraulic machinery.
Design of Novel Closed-Circuit Hydrostatic Transmission Without Charge Pump
Authors: Bhola Mohit , Andersen Torben Ole , Ebbesen Morten Kjeld 
Published: November 2023

Abstract
This paper deals with the design of the control system for novel two-pumps one-motor (TPOM) systems for applications which require the deployment of a closed-circuit hydro-static transmission (HST). In conventional closed-circuit HST, the charge/booster pump is an integral part of the main pump used to compensate the leakages occurring in the circuit in order to maintain the lowest system pressure to avoid cavitation. The charge/booster pump in the closed-circuit HST is a source of constant power loss and increases heat load in the system. This reduces the efficiency of the transmission at part load operation. Also, the lowest system pressure in the conventional circuit is held constant by the relief valve deployed at the charge pump outlet. Hence, the stiffness of the system cannot be controlled based upon the transmission working condition. To overcome this limitation and enhancing transmission efficiency, the TPOM system is designed and evaluated without changing the basic functionality of the closed-circuit transmission. In TPOM, one of the displacement machines driven by permanent magnet synchronous motors (PMSM) works in open-circuit configuration and the other in closed-circuit configuration, without the need of a charge/booster pump. The TPOM is capable to operate in four-quadrants and capable to regenerate the energy during assistive load condition. This arrangement does not require the need of pilot pressure for varying the displacement of pump and motor, which generally is supplied by a booster/charge pump in a conventional closed-circuit transmission. However, innovative use of a hydraulic intensifier is proposed for the fulfilment of pilot pressure requirements. The feasibility in control shows the energy-saving potential of the HST without booster/charge pump.
Online Monitoring of Pneumatic Actuation System for Energy Efficiency and Dynamic Performance
Authors: Vigolo Vinícius , Boyko Vladimir , Weber Jürgen , Valdiero Antonio Carlos , De Negri Victor Juliano 
Published: November 2023

Abstract
In this paper, a strategy for online monitoring of a double-acting pneumatic actuation system is presented. The proposed approach employs the operating point method to evaluate the operating condition of the system in terms of energy efficiency and system robustness. A set of six diagnostic features based on user input data, chamber pressures, and displacement time is used as inputs for a hybrid machine learning model, which is composed of two regression models and one multi-class classification model. The hybrid machine learning model aims to predict corrective actions that should be applied on the system to improve its operating condition. The proposed monitoring system was evaluated in 50 different working conditions, where parameters such as load force, supply pressure, displacement time and stroke were randomly created and an uncertainty factor was applied to the load force to simulate the uncertainties that are commonly present during the design of pneumatic actuation systems. The results evidenced the monitoring system’s ability to effectively set the supply pressure and sonic conductance of flow control valves, ensuring an operation with optimal energy efficiency and robustness.
Detection of Typical Manufacturing Errors in External Gear Machines Using Numerical Simulation and Data Driven Machine Learning
Authors: Borriello Pasquale , Pawar Ajinkya , Frosina Emma , Tessicini Fabrizio , Vacca Andrea , Senatore Adolfo 
Published: November 2023

Abstract
This paper presents an Artificial Intelligence based methodology to detect typical manufacturing errors in external gear machines based on a hybrid approach by means of data-driven and model-based approach using Multics-HYGESim. In particular, the study is finalized to detect manufacturing gear errors such as conicity, concentricity, and axial runout defects in those machines, which can affect their hydraulic performance, reliability, and noise emission. To validate the effectiveness of the proposed method, a specific experimental test campaign has been carried out on eight physical units considering realistic operating conditions during a standard end-of-line test, demonstrating the robustness and efficacy of the proposed method in detecting flawed components in the electric motor-driven external gear pump. This study offers valuable insights into the development of advanced condition monitoring techniques for fluid power components based on different machine learning classifiers combined in an ensemble learning algorithm, which can contribute to improving system reliability, efficiency, and safety. Besides, the numerical simulations can ultimately help manufacturers to investigate these interactions and optimize their pump design accordingly. The findings demonstrate that the proposed methodology achieves above 92% of accuracy in the tested operating conditions, offering insights into the development of future condition monitoring techniques particularly in fluid power systems.
Serine-rich repeat proteins: well-known yet little-understood bacterial adhesins
Authors: Cinar Mukaddes S. , Niyas Afaq , Avci Fikri Y. 
Published: November 2023

ABSTRACT
Serine-rich-repeat proteins (SRRPs) are large mucin-like glycoprotein adhesins expressed by a plethora of pathogenic and symbiotic Gram-positive bacteria. SRRPs play major functional roles in bacterial-host interactions, like adhesion, aggregation, biofilm formation, virulence, and pathogenesis. Through their functional roles, SRRPs aid in the development of host microbiomes but also diseases like infective endocarditis, otitis media, meningitis, and pneumonia. SRRPs comprise shared domains across different species, including two or more heavily O-glycosylated long stretches of serine-rich repeat regions. With loci that can be as large as ~40 kb and can encode up to 10 distinct glycosyltransferases that specifically facilitate SRRP glycosylation, the SRRP loci makes up a significant portion of the bacterial genome. The significance of SRRPs and their glycans in host-microbe communications is becoming increasingly evident. Studies are beginning to reveal the glycosylation pathways and mature O-glycans presented by SRRPs. Here we review the glycosylation machinery of SRRPs across species and discuss the functional roles and clinical manifestations of SRRP glycosylation.
Supplemental Material: Intrusion tip velocity controls the emplacement mechanism of sheet intrusions
Authors: Köpping Jonas , al. et 
Published: November 2023

<p>Geological map of the Highwood Mountains of Montana, western United States; uninterpreted, high-resolution images shown in Figure 2; Jupyter notebook used to perform thermal modeling and fracture tip velocity estimates; Excel spreadsheet with field constraints (i.e., fracture aperture and distance of aperture measurement to fracture tip) used to estimate fracture tip velocities. </p>
Boundary restricted Brunn–Minkowski inequalities
Authors: Artstein-Avidan Shiri , Falah Tomer , Slomka Boaz A. 
Published: November 2023

In this paper, we explore questions regarding the Minkowski sum of the boundaries of convex sets. Motivated by a question suggested to us by V. Milman regarding the volume of [Formula: see text] where [Formula: see text] and [Formula: see text] are convex bodies, we prove sharp volumetric lower bounds for the Minkowski average of the boundaries of sets with connected boundary, as well as some related results.
Association between vaginal microbiome alteration and povidone iodine use during delivery
Authors: Li Hongping , Zhang Hongqin , Geng Linhua , Huang Hongli , Nie Chuan , Zhu Yuanfang 
Published: November 2023

Abstract
Background
The vaginal microbiome is a dynamic community of microorganisms in the vagina. Its alteration may be influenced by multiple factors, including gestational status, menstrual cycle, sexual intercourse, hormone levels, hormonal contraceptives, and vaginal drug administration. Povidone iodine has been used before delivery to reduce infection that may be caused by the ascendance of pathogenic and opportunistic bacteria from the vagina to the uterus. This study aimed to elucidate the impact of povidone iodine use during delivery on the vaginal microbiome.

Methods
This study enrolled a total of 67 women from maternity services in three hospitals. During the delivery process, we have applied povidone iodine in three doses such as low dose, medium dose, and high dose based on the amount of povidone iodine administered, thus, we studied the three groups of women based on the doses applied. Vaginal swab samples were collected both before and immediately after delivery, and the microbial communities were characterized using 16 S rRNA sequencing. The identification of differentially abundant microbial taxa was performed using ZicoSeq software.

Results
Before delivery, the vaginal microbiome was dominated by the genus Lactobacillus, with different percentage observed (86.06%, 85.24%, and 73.42% for the low, medium, and high dose groups, respectively). After delivery, the vaginal microbial community was restructured, with a significant decrease in the relative abundance of Lactobacillus in all three groups (68.06%, 50.08%, and 25.89%), and a significant increase in alpha diversity across all 3 groups (P < 0.01). Furthermore, as the dose of povidone iodine used during delivery increased, there was a corresponding decrease in the relative abundance of Lactobacillus (P < 0.01). Contrary, there was an increase in microbial diversity and the relative abundances of Pseudomonas (0.13%, 0.26%, and 13.04%, P < 0.01) and Ralstonia (0.01%, 0.02%, and 16.07%, P < 0.01) across the groups. Notably, some functional metabolic pathways related to sugar degradation were observed to have significant change with increasing use of povidone iodine.

Conclusion
Povidone iodine was associated with the vaginal microbiome alterations after parturition, and its significant change was associated to the dosage of povidone iodine administered. The escalation in iodine dosage was linked to a decrease in Lactobacilli abundance, and elevated prevalence of Pseudomonas and Ralstonia. There is a need for longitudinal studies to clearly understanding the effect of povidone iodine use on maternal and infant microbiome.
Correlation of gut microbiota with leukopenia after chemotherapy in patients with colorectal cancer
Authors: Xiaofeng Ni , Jian Chu , Jingjing Wang , Zhanbo Qu , Yifei Song , Jing Zhuang , Shuwen Han 
Published: November 2023

Abstract
Background
The most common toxic side effect after chemotherapy, one of the main treatments for colorectal cancer (CRC), is myelosuppression.

Objective
To analyze the correlation between gut microbiota and leukopenia after chemotherapy in CRC patients.

Methods
Stool samples were collected from 56 healthy individuals and 55 CRC patients. According to the leukocytes levels in peripheral blood, the CRC patients were divided into hypoleukocytes group (n = 13) and normal leukocytes group (n = 42). Shannon index, Simpson index, Ace index, Chao index and Coverage index were used to analyze the diversity of gut microbiota. LDA and Student's t-test(St test) were used for analysis of differences. Six machine learning algorithms, including logistic regression (LR) algorithm, random forest (RF) algorithm, neural network (NN) algorithm, support vector machine (SVM) algorithm, catboost algorithm and gradient boosting tree algorithm, were used to construct the prediction model of gut microbiota with leukopenia after chemotherapy for CRC.

Results
Compared with healthy group, the microbiota alpha diversity of CRC patients was significantly decreased (p < 0.05). After analyzing the gut microbiota differences of the two groups, 15 differential bacteria, such as Bacteroides, Faecalibacterium and Streptococcus, were screened. RF prediction model had the highest accuracy, and the gut microbiota with the highest predictive value were Peptostreptococcus, Faecalibacterium, and norank_f__Ruminococcaceae, respectively. Compared with normal leukocytes group, the microbiota alpha diversity of hypoleukocytes group was significantly decreased (p < 0.05). The proportion of Escherichia-Shigella was significantly decreased in the hypoleukocytes group. After analyzing the gut microbiota differences of the two groups, 9 differential bacteria, such as Escherichia-Shigella, Fusicatenibacter and Cetobacterium, were screened. RF prediction model had the highest accuracy, and the gut microbiota with the highest predictive value were Fusicatenibacte, Cetobacterium, and Paraeggerthella.

Conclusion
Gut microbiota is related to leukopenia after chemotherapy. The gut microbiota may provide a novel method for predicting myelosuppression after chemotherapy in CRC patients.
Induction of tetraploids in Paper Mulberry (Broussonetia papyrifera (L.) L’Hér. ex Vent.) by colchicine
Authors: Lin Jiana , Zhang Bingnan , Zou Jintuo , Luo Zhen , Yang Hao , Zhou Peng , Chen Xiaoyang , Zhou Wei 
Published: November 2023

Abstract
Background
Broussonetia papyrifera (L.) L’Hér. ex Vent. has the characteristics of strong stress resistance, high crude protein content, and pruning tolerance. It is an ecological, economic, and medicinal plant. Polyploid plants usually perform better than their corresponding diploid plants in terms of nutrients, active substances, and stress resistance.

Results
In this study, the leaves, calli, and seeds of diploid B. papyrifera were used for tetraploid induction by colchicine. The induction effect of colchicine on B. papyrifera was summarized through the early morphology, chromosome count and flow cytometry. It was concluded that the best induction effect (18.6%) was obtained when the leaves of B. papyrifera were treated in liquid MS (Murashige and Skoog) medium containing 450 mg·L-1 colchicine for 3 d. The comparative analysis of the growth characteristics of diploid and tetraploid B. papyrifera showed that tetraploid B. papyrifera has larger ground diameter, larger stomata, thicker palisade tissue and thicker sponge tissue than diploid B. papyrifera. In addition, the measurement of photosynthetic features also showed that tetraploids had higher chlorophyll content and higher photosynthetic rates.

Conclusion
This study showed that tetraploid B. papyrifera could be obtained by treating leaves, callus and seeds with liquid and solid colchicine, but the induction efficiency was different. Moreover, there were differences in stomata, leaf cell structure and photosynthetic features between tetraploid B. papyrifera and its corresponding diploid. The induced tetraploid B. papyrifera can provide a technical basis and breeding material for the creation of B. papyrifera germplasm resources in the future.
Regulation of an endophytic nitrogen-fixing bacteria GXS16 promoting drought tolerance in sugarcane
Authors: Nong Qian , Lin Li , Xie Jinlan , Mo Zhanghong , Malviya Mukesh Kumar , Solanki Manoj Kumar , Wang Zeping , Song Xiupeng , Li Yangrui , Li Changning 
Published: November 2023

Abstract
Background
Drought limits crop growth and is an important issue in commercial sugarcane (Saccharum officinarum) production. Drought tolerance in sugarcane induced by endophytic nitrogen-fixing bacteria is a complex biological process that ranges from altered gene expression and cellular metabolism to changes in growth and productivity.

Results
In this study, changes in physiological features and transcriptome related to drought tolerance in sugarcane conferred by the Burkholderia endophytic nitrogen-fixing bacterial strain GXS16 were investigated. Sugarcane samples inoculated with GXS16 exhibited significantly higher leaf relative water content than those without GXS16 inoculation during the drought stages. Sugarcane treated with GXS16 had lower levels of H2O2 and higher levels of abscisic acid than sugarcane not treated with GXS16 in the non-watering groups. Transcriptomic analysis of sugarcane roots identified multiple differentially expressed genes between adjacent stages under different treatments. Moreover, both trend and weighted correlation network analyses revealed that carotenoid biosynthesis, terpenoid backbone biosynthesis, starch and sucrose metabolism, and plant hormone signal transduction strongly contributed to the drought-tolerant phenotype of sugarcane induced by GXS16 treatment. Accordingly, a gene regulatory network including four differentially regulated genes from carotenoid biosynthesis (crtB, crtZ, ZEP and CYP707A) and three genes from terpenoid backbone biosynthesis (dxs, dxr, and PCME) was constructed.

Conclusions
This study provides insights into the molecular mechanisms underlying the application of GXS16 treatment to enhance drought tolerance in sugarcane, which will lay the foundation for crop development and improve productivity.
“That’s probably how you would want care to be” - experiences of sick leave teams at a health center, a mixed method study
Authors: Hällås E. , Skoglund I. , Nordeman L. 
Published: November 2023

Abstract
Background
The health center where this study was performed the management wanted to test whether a sick leave team provided the physicians with better conditions for the task of assessing sick leave. The goals were to ensure the quality of the assessment of patients with sick leave needs and to improve the work environment. The aim of this study was to take part in the staff's experiences of having access to and working in sick leave teams and how the working method affected the number of sick leave patients and sick leave pattern.

Methods
A mixture of qualitative and quantitative methods. Two focus groups were conducted with a total of 11 participants. The head of the health center formed the focus groups, which consisted of 6 doctors, 3 district nurses, 1 rehab coordinator and 1 psychologist.
Aggregated sick leave data for full-time and part-time sick leave of more than 90, 180 and 360 days, respectively, were obtained and compiled at project start and end, and from the corresponding period 18 months before project start.

Results
The introduction of sick leave teams with physicians and rehabilitation coordinator for patients who turn to the health center for mental illness and / or musculoskeletal problems emerged three main categories from the analysis of the focus group discussions: working environment, clear roles and in-depth competence.
The total number of people who were on sick leave more than 365 days decreased by 27% between start and the end of the project, and the proportion of women increased by 11%.

Conclusions
The study shows that the complex task of sick leave can be perceived as positive by physicians with the support of teamwork. The working method is similar to that applied in occupational health care, where the physician is not alone with this task. This can also be a way to make primary care a more attractive workplace.
Digital support for quality assurance in 24-hour caregiving at home: a randomized controlled trial investigating the effects on quality of life and professional skills of paid 24h-caregivers
Authors: Haslinger-Baumann Elisabeth , Putz Peter , Hauser Carina , Kupka-Klepsch Elisabeth , Sturm Nadine , Werner Franz 
Published: November 2023

Abstract
Background
Regarding the care of older adults, 24-h home-care represents a cornerstone, with > 32,000 service users in Austria. Our research project 24hQuAALity aimed to develop and evaluate a distributed client-server software solution for the support and quality assurance of this home-care service. In this trial, we investigated the effects of this intervention on the quality of life and professional skills of paid 24h-caregivers in Austria.

Methods
The application used in our study comprises an e-learning platform, an integrated emergency management, networking opportunities, and an electronic care documentation system in the native language of the 24h-caregivers. The trial was conducted using a parallel three-arm study design to evaluate (i) a control group, which performed usual home care, (ii) a partial intervention group, which used the e-learning and networking platforms, and (iii) a full intervention group, which used the entire intervention (e-learning platform, networking platform, and digital care documentation). Primary self-reported outcomes were the standardized ASCOT for Carers score and a score based on responses to project-specific efficacy questions.

Results
Among the 110 24h-caregivers who were randomly classified into the three groups, ASCOT for Carers score data were available for 57 and 35 24h-caregivers at 5- and 9-month follow-up examinations, respectively. At 9 months, 24h-caregivers receiving any intervention rated the ASCOT for Carers score (not significantly) better than the controls (p = 0.05, ηp2 = 0.15), mainly in the domain “feeling encouraged and supported”. At 9 months, 24h-caregivers receiving any intervention rated the project-specific Efficacy score significantly better than the controls (p = 0.02, ηp2 = 0.20), mainly due to better ratings in the subitems “satisfaction with current docu”, “docu supports doing my job”, “ I’m well prepared for emergencies”, “my professional skills are adequate for doing my job”, and “communication with contacts”.

Conclusions
Providing e-learning and e-documentation devices to 24h-caregivers improved their care-related quality of life, mainly because they felt more encouraged and supported. Moreover, these interventions improved their self-perceived professional skills. As an extrapolation of findings, we found that these interventions could empower 24h-caregivers and improve the quality of home-care services provided by them.

Trial registration
Digital Support for Quality Assurance in 24-h Caregiving at Home was registered and posted on the ClinicalTrials.gov public website (ClinicalTrials.gov Identifier: NCT04581538).