bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of corn silage inclusion with different corn processing on finishing steer performance and carcass characteristics
Authors: Miller Jessica L , Meier Nolan R , Wilke Karla H , Erickson Galen E , Loza Pablo L 
Published: July 2024

Abstract
Objectives were to determine the effect of corn silage inclusion within dry-rolled corn (DRC) or steam-flaked corn (SFC) finishing diets on cattle growth performance and carcass characteristics. The experiment used British and continental crossbred steers (n = 480; initial body weight [BW] = 389 ± 17 kg) in a 4 × 2 factorial arrangement of treatments with six replications per treatment. Treatments consist of four inclusions of corn silage (0%, 15%, 30%, or 45%; dry matter [DM] basis) within either a DRC or SFC diet. A corn silage by corn processing interaction was observed for dry-matter intake (DMI; P = 0.05). As corn silage inclusion increased in the diet, DMI increased linearly (P &lt; 0.01) for both corn processing methods. DM intake was not different between SFC and DRC-fed cattle at 0% (P = 0.33), 30% (P = 0.90), or 45% (P = 0.31) corn silage inclusion. The interaction was due to the DMI of cattle fed 15% silage, as cattle-fed DRC consumed 0.5 kg/d less (P &lt; 0.01) than cattle on the SFC diet. Quadratic effects were observed for final BW, hot carcass weight (HCW), average daily gain (ADG), feed efficiency (G:F), marbling, and fat depth (P &lt; 0.01), regardless of corn processing. Cattle fed 15% or 30% corn silage gained faster (P &lt; 0.01) than those fed 0% or 45% corn silage. Feed efficiency decreased quadratically (P &lt; 0.01) as silage inclusion increased in the diet with G:F similar for cattle fed 0% and 15% silage and decreased curvilinearly for cattle fed 30% and 45% silage. The incidence of liver abscesses was greater (P = 0.03) in cattle fed 0% corn silage than for steers fed 15%, 30%, or 45% corn silage. Corn processing method, independent of silage, had no effect (P = 0.42) on liver abscess incidence. Feeding SFC increased (P &lt; 0.01) steer final BW and HCW when compared to cattle-fed DRC, regardless of silage inclusion. Corn silage inclusion had similar effects on performance in both DRC diets and SFC diets except for DMI. As corn silage inclusion increased in the diet, feed efficiency decreased linearly (P &lt; 0.01). Cattle-fed SFC gained 7.9% more (P &lt; 0.01) and were 6.7% more efficient (P &lt; 0.01) than cattle-fed DRC. In diets containing either DRC or SFC, corn silage can be included at up to 30% of the diet without negative impacts on ADG or HCW.
Consensus for Operating Room Multimodal Data Management: Identifying Research Priorities for Data-Driven Surgery
Authors: Garcia Vazquez Alain , Verde Juan , Hernandez Lara Ariosto , Mutter Didier , Swanstrom Lee ,   5G-OR Research Committee, 5G-OR Consensus Panel
Published: July 2024

Introduction:
This study aimed to identify research areas that demand attention in multimodal data-driven surgery for improving data management in minimally invasive surgery.

Background:
New surgical procedures, high-tech equipment, and digital tools are increasingly being introduced, potentially benefiting patients and surgical teams. These innovations have resulted in operating rooms evolving into data-rich environments, which, in turn, requires a thorough understanding of the data pipeline for improved and more intelligent real-time data usage. As this new domain is vast, it is necessary to identify where efforts should be focused on developing seamless and practical data usage.

Methods:
A modified electronic Delphi approach was used; 53 investigators were divided into the following groups: a research group (n=9) for problem identification and a narrative literature review, a medical and technical expert group (n=14) for validation, and an invited panel (n=30) for two electronic survey rounds. Round 1 focused on a consensus regarding bottlenecks in surgical data science areas and research gaps, while round 2 prioritized the statements from round 1, and a roadmap was created based on the identified essential and very important research gaps.

Results:
Consensus panelists have identified key research areas, including digitizing operating room (OR) activities, improving data streaming through advanced technologies, uniform protocols for handling multimodal data, and integrating AI for efficiency and safety. The roadmap prioritizes standardizing OR data formats, integrating OR data with patient information, ensuring regulatory compliance, standardizing surgical AI models, and securing data transfers in the next generation of wireless networks.

Conclusions:
This work is an international expert consensus regarding the current issues and key research targets in the promising field of data-driven surgery, highlighting the research needs of many operating room stakeholders with the aim of facilitating the implementation of novel patient care strategies in minimally invasive surgery.
Predictors of Nonhome Discharge After Cervical Disc Replacement
Authors: Subramanian Tejas , Song Junho , Kim Yeo Eun , Maayan Omri , Kamil Robert , Shahi Pratyush , Shinn Daniel , Dalal Sidhant , Araghi Kasra , Asada Tomoyuki , Amen Troy B. , Sheha Evan , Dowdell James , Qureshi Sheeraz , Iyer Sravisht 
Published: July 2024

Study Design:
Retrospective review of a national database.

Objective:
The aim of this study was to identify the factors that increase the risk of nonhome discharge after CDR.

Summary of Background Data:
As spine surgeons continue to balance increasing surgical volume, identifying variables associated with patient discharge destination can help expedite postoperative placement and reduce unnecessary length of stay. However, no prior study has identified the variables predictive of nonhome patient discharge after cervical disc replacement (CDR).

Methods:
The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for patients who underwent primary 1-level or 2-level CDR between 2011 and 2020. Multivariable Poisson regression with robust error variance was employed to identify the predictors for nonhome discharge destination following surgery.

Results:
A total of 7276 patients were included in this study, of which 94 (1.3%) patients were discharged to a nonhome destination. Multivariable regression revealed older age (OR: 1.076, P<0.001), Hispanic ethnicity (OR: 4.222, P=0.001), BMI (OR: 1.062, P=0.001), ASA class ≥3 (OR: 2.562, P=0.002), length of hospital stay (OR: 1.289, P<0.001), and prolonged operation time (OR: 1.007, P<0.001) as predictors of nonhome discharge after CDR. Outpatient surgery setting was found to be protective against nonhome discharge after CDR (OR: 0.243, P<0.001).

Conclusions:
Age, Hispanic ethnicity, BMI, ASA class, prolonged hospital stay, and prolonged operation time are independent predictors of nonhome discharge after CDR. Outpatient surgery setting is protective against nonhome discharge. These findings can be utilized to preoperatively risk stratify expected discharge destination, anticipate patient discharge needs postoperatively, and expedite discharge in these patients to reduce health care costs associated with prolonged length of hospital stay.

Level of Evidence:
IV.
Menopausal knowledge and attitudes of women during the perimenopausal period
Authors: Turan Miral Mukaddes , Bayraktar Tugba 
Published: July 2024

Abstract

Objective
This study aims to determine the relationship between knowledge and attitudes about menopause among women in the perimenopausal period.

Methods
A descriptive and relationship-seeking cross-sectional study was conducted in family health centers in a district of Istanbul between January and March 2023. The study included 300 women in the perimenopausal period. Data were collected through face-to-face interviews using a descriptive information form, a menopause knowledge test, and the Menopause Attitude Scale.

Results
The average age of participants was 45.07 ± 3.50, with 85.3% married, 37.0% having completed primary school, and 55.0% being housewives. The average menopause knowledge score was 12.29 ± 3.75 (out of 20), and the average menopause attitude score was 25.23 ± 6.99 (out of 52). No significant relationship was found between menopause knowledge and attitude scores (r = 0.06, P > 0.05). Women with an income exceeding their expenses had higher menopause knowledge scores (P < 0.05). Unmarried women, those with lower education levels, those with higher incomes, and those living alone had higher menopause attitude scores compared with their counterparts (P < 0.05).

Conclusions
Women's knowledge and attitudes toward menopause are moderate in the perimenopausal period. There is no significant relationship between menopausal knowledge and attitude of women during the perimenopausal period. It was determined that menopause knowledge level differed according to women's income status, and menopause attitude differed according to marital status, educational status, and cohabitation status in this study.
Custom Endoprosthesis-Assisted Pediatric Microsurgical Jaw Reconstruction
Authors: Trotter Collean , O’Brien Devon , Stanton Eloise W. , Roohani Idean , Shakoori Pasha , Urata Mark M. , Hammoudeh Jeffrey A. 
Published: July 2024

Surgical treatment of pediatric maxillary and mandibular tumors can cause significant postresection disfigurement, mastication, and speech dysfunction. The need to restore form and function without compromising growth at the recipient and donor sites poses a particular reconstructive dilemma. This study evaluates outcomes of the custom endoprosthesis (CE) compared with noncustom reconstruction (NCR) and introduces an algorithm using CE to optimize available soft tissue reconstructive options. An Institutional Review Board–approved retrospective review of all patients undergoing maxillary or mandibular reconstruction between 2016 and 2022 was completed. The independent variable of interest was CE utilization. Primary outcomes of interest included hardware failure/removal or exposure, major complications, and revision surgeries. Covariates of interest included patient demographics, medical comorbidities, tumor size, and pathologic diagnosis. Statistical analyses including independent t test, χ2 analyses, and univariate/multivariate logistic regression were performed using RStudio version 4.2.1. Fifty-one patients (37 mandible and 14 maxilla) underwent CE or NCR. Of patients, 37% (n = 19) received CE. Of patients who underwent mandibular reconstruction, there were significantly lower rates of hardware exposure (14.3% versus 47.8%, P = 0.018), failure (7.1% versus 43.5%, P = 0.048), major complications (28.6% versus 78.2%, P = 0.008), and revisions (11.1% versus 50.0%, P = 0.002) in the CE cohort compared with the NCR cohort. The rates of hardware failure, exposure, major complications, and revisions did not significantly differ in maxillary reconstructions, however, CE successfully reconstructed significantly larger defects (179.5 versus 74.6 cm3, P = 0.020) than NCRs. Deviating from NCR, the authors propose an algorithm considering anatomical location, extent of resection, and patient age for soft tissue selection. This algorithm yielded improved mandibular reconstructive outcomes and no increase in complications rate in maxillary reconstruction despite larger resection defects. Furthermore, the authors’ initial findings demonstrate that CE is a safe option for pediatric maxillary and mandibular reconstruction that may, in addition, facilitate improved form and function.
Cerebral ischaemic stroke results in altered mucosal IgA responses and host-commensal microbiota interactions
Authors: Hurry Madeleine , Wong Raymond , Díaz-Marugan Laura , De Leon Bianca , Benakis Corinne , Waisman Ari , Allan Stuart M. , Lawrence Catherine B. , Brough David , Hepworth Matthew R. 
Published: June 2024

AbstractStroke is a devastating neurological event with a high risk of mortality, but also results in long-term sequalae in survivors that extend beyond the central nervous system. Notably, these include gastrointestinal dysfunction and alterations in the commensal microbiota in both patients and mouse models, which have been suggested to contribute to secondary infection and poor outcome following stroke. Strikingly changes in commensal microbial community composition occur rapidly in both humans and animal models following stroke and correlate with disease severity. Despite these observations the underpinning mechanisms that drive alterations in the microbiota post-stroke remain poorly understood. The gastrointestinal tract is home to a complex network of tissue-resident immune cells that act constitutively to maintain microbial community and prevent bacterial-driven inflammation. Here we demonstrate that mice subjected to ischaemic stroke exhibit alterations in the intestinal immune system, most notably in antibody secreting B cells and the production of Immunoglobulin A (IgA) – a major effector response against commensal microbes. Mice lacking secretory IgA binding to commensal bacteria exhibit a partial reversion of stroke-induced changes in microbiota composition. Notably we also report increases in B cell and IgA-producing plasma cell frequencies in the brain and meninges following stroke. Together these findings demonstrate stroke is associated with perturbations in antibody producing immune responses both in mucosal tissues and the CNS following stroke, which in part explain stroke-induced changes in the intestinal microbiota. A mechanistic understanding of the immunological basis of stroke-associated pathologies in the periphery may open new avenues to manage the secondary complications and long-term prognosis of patients suffering from neurological disease.
MicroWorldOmics: A “One step for All” desktop application for comprehensive analysis in microbiome and virome and exploring “Dark Matter” from MicroWorld
Authors: Li Runze , Dong Wei , Wang Mingjie , Hu Xiaoqing , Wan Jiao , Yang Zhuang 
Published: June 2024

AbstractA large amount of high-throughput sequencing data generated in ecology, medicine, and pharmacy has increasingly raised the complexity of data analysis and interpretation. However, the microbiome and virome field still lacks a convenient and programming-free desktop application for the comprehensive analysis in microbiome and virome data, particularly in virome analysis and ‘Dark Matter’ exploration. Therefore, a plugin development mode desktop service, MicroWorldOmics, is proposed with a convenient and one-stop pipeline for life sciences and biomedical fields. Plugin development allows users to analyze data in parallel and interactively, while these tasks usually require advanced bioinformatician to achieve. MicroWorldOmics is a software widely used in microbiome and virome, containing 90 sub-applications, including four main functions: epidemiological analysis, metagenomic/amplicons and virome comprehensive analysis, and exploring ‘Dark matter’. More than 80 Python modules and 600 R packages are invoked in all aspects of bioinformatics analysis, statistical analysis, deep learning, and visualization. At the same time, the software supports multiple input and output results, such as GFF3, FASTA, CSV, PNG, JPG, JSON, and TXT, etc. Besides, to improve the efficiency for users, MicroWorldOmics supports being deployed in three mainstream systems: Windows, Linux, and Mac and also sets the demo/example data for users to test the benchmark easily. In summary, the development of MicroWorldOmics greatly facilitates the process of analyzing microbiome and virome data for researchers who have no programming foundation and are devoted to life science and biomedicine data analysis.
Peripheral glia and neurons jointly regulate activity-induced synaptic remodeling at theDrosophilaneuromuscular junction
Authors: Chang Yen-Ching , Peng Yi-Jheng , Lee Joo Yeun , Chang Karen T. 
Published: July 2024

ABSTRACTIn the nervous system, reliable communication depends on the ability of neurons to adaptively remodel their synaptic structure and function in response to changes in neuronal activity. While neurons are the main drivers of synaptic plasticity, glial cells are increasingly recognized for their roles as active modulators. However, the underlying molecular mechanisms remain unclear. Here, usingDrosophilaneuromuscular junction as a model system for a tripartite synapse, we show that peripheral glial cells collaborate with neurons at the NMJ to regulate activity-induced synaptic remodeling, in part through a protein called shriveled (Shv). Shv is an activator of integrin signaling previously shown to be released by neurons during intense stimulation at the fly NMJ to regulate activity-induced synaptic remodeling. We demonstrate that Shv is also present in peripheral glia, and glial Shv is both necessary and sufficient for synaptic remodeling. However, unlike neuronal Shv, glial Shv does not activate integrin signaling at the NMJ. Instead, it regulates synaptic plasticity in two ways: 1) maintaining the extracellular balance of neuronal Shv proteins to regulate integrin signaling, and 2) controlling ambient extracellular glutamate concentration to regulate postsynaptic glutamate receptor abundance. Loss of glial cells showed the same phenotype as loss of Shv in glia. Together, these results reveal that neurons and glial cells homeostatically regulate extracellular Shv protein levels to control activity-induced synaptic remodeling. Additionally, peripheral glia maintains postsynaptic glutamate receptor abundance and contribute to activity-induced synaptic remodeling by regulating ambient glutamate concentration at the fly NMJ.
Genome-wide DNA Methylation Patterns inDaphnia magnaare Not Significantly Associated with Age
Authors: Liu Ruoshui , Morselli Marco , Yampolsky Lev Y. , Peshkin Leonid , Pellegrini Matteo 
Published: June 2024

AbstractStudying DNA methylation inDaphnia magna, a model organism in ecological and evolutionary research, offers valuable insights into pharmaceutical toxicity and behavioral ethology. In this study, we characterized DNA methyltransferases and mapped DNA methylation across theD. magnagenome using whole-genome bisulfite sequencing. Our analysis revealed a highly expressed, nonfunctionalde novomethyltransferase (DNMT3.1) alongside lowly expressed functionalde novomethyltransferase DNMT3.2 and maintenance methyltransferase DNMT1.D. magnadisplays overall low DNA methylation, targeting primarily CpG dinucleotides. Methylation is sparse at promoters but elevated in the first exons downstream of transcription start sites, with these exons showing hypermethylation relative to adjacent introns. In contrast to prior studies, we observed minimal age-related changes in DNA methylation patterns that were not sufficiently robust to build an accurate epigenetic clock. These findings expand our understanding of the epigenetic landscape inD. magna.
Assessing the predictive value of peak alpha frequency for the sensitivity to pain
Authors: May Elisabeth S. , Tiemann Laura , Gil Ávila Cristina , Bott Felix S. , Hohn Vanessa , Gross Joachim , Ploner Markus 
Published: July 2024

AbstractPain perception varies considerably between and within individuals. How the brain determines these variations has yet to be fully understood. The peak frequency of alpha oscillations (PAF) has recently been shown to predict an individual’s sensitivity to longer-lasting experimental and clinical pain. PAF is, thus, discussed as a potential biomarker and novel target for neuromodulatory treatments of pain. Here, we scrutinized the generalizability of the relation between PAF and pain. We applied brief painful laser stimuli to 159 healthy participants and related inter- and intra-individual variations of pain perception to PAF measured with electroencephalography. Comprehensive multiverse analyses across two sessions did not provide consistent evidence for a predictive role of PAF for brief experimental pain. This indicates that the relationship between PAF and pain does not generalize to all types of pain and calls for a systematic exploration of the relationship between PAF, pain perception, and other neuropsychiatric symptoms.
Joint and tissue mechanics in post-traumatic osteoarthritis: insights from the rat model
Authors: Piet Judith , Esrafilian Amir , Elahi Seyed Ali , Mielke Falk , Van Nuffel Maarten , Orozco Gustavo , Vancleef Sanne , Lories Rik , Korhonen Rami K. , Aerts Peter , Van Wassenbergh Sam , Jonkers Ilse 
Published: July 2024

AbstractObjectiveAltered mechanical loading is a known risk factor for osteoarthritis. Destabilization of the medial meniscus (DMM) is a preclinical gold standard model for post-traumatic osteoarthritis and is thought to induce instability and locally increased loading. However, the joint- and tissue-level mechanical environment underlying cartilage degeneration remains poorly documented.DesignUsing a custom multiscale modeling approach, we assessed joint and tissue biomechanics in rats undergoing sham surgery and DMM. High-fidelity experimental gait data were collected in a setup combining biplanar fluoroscopy and a ground reaction force plate. Knee poses and joint-level loading were estimated through musculoskeletal modeling, using bony landmarks, semi-automatically tracked via deep learning on fluoroscopic images, and ground reaction forces. A musculoskeletal model of the rat hindlimb was adapted to represent knee flexion-extension, valgus-varus, and internal-external rotation. The tissue-level cartilage mechanical environment was then spatially estimated, using the musculoskeletal modeling parameters as inputs into a dedicated finite element (FE) model of the rat knee, comprising cartilage and meniscal tissues. Experimental gait data and modeling workflows, including musculoskeletal models and FE meshes, are openly shared through a data repository.ResultsIn rats with DMM, the frontal plane knee pose was altered, yet there was no indication of joint-level overloading. Tissue-level mechanical cues typically linked with cartilage degeneration were not increased in the medial tibial cartilage, despite evidence of tissue structural changes.ConclusionDMM did not increase joint and tissue mechanical responses in the knee medial compartment, suggesting that mechanical loading alone does not explain the observed osteoarthritis-like structural changes.
In VitroGeneration and Characterization of The Wu Syndrome Model That Causes Mental Retardation in Neural Cell Lines
Authors: Karaman Sumeyye Seher , Sevik Tuba , Akdemir Selin , Bilgin Burak , Karadeli Esra , Yalcin Dilay , Baran Buse , Gelsin Beste , Budaklar Buket , Sert Berranur , Gulden Gamze , Tastan Cihan 
Published: July 2024

ABSTRACTWu Syndrome, also known as X-Linked Wu Type Intellectual Developmental Disorder, is caused by a mutation in the GRIA3 (Glutamate Ionotropic Receptor AMPA Type Subunit 3) gene located at position 25 on the X chromosome. GRIA3 encodes iGluR3, a subunit of the AMPA (α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid) receptor, which plays a critical role in rapid excitatory synaptic transmission in the central nervous system. This receptor is essential for learning, memory, and the processes of long-term depression (LTD) and long-term potentiation (LTP). Despite its significance, Wu Syndrome remains under-researched and lacks effective treatments. Notably, some genetic variants have been identified, but many, including the W637S variant, are still unstudied. This study pioneers the development of a Wu Syndrome model in neural cell lines using genetic modification techniques to identify and characterize new GRIA3 variants. By focusing on variants such as G833R and W637S, this research provides novel insights into their effects on GRIA3 function, paving the way for potential therapeutic strategies. This is the first study to explore the responses of neural cells to these mutations in vitro, thereby contributing valuable knowledge toward understanding and treating Wu Syndrome.