bluuebunny/crossref_metadata_2025_split huggingface dataset:
The geriatric nutritional risk index as a prognostic factor in revision total knee arthroplasty: A retrospective cohort study
Authors: Liu Steven H. , Lung Brandon , Burgan Jane , Loyst Rachel A. , Nicholson James J. , Stitzlein Russell N. 
Published: January 2024

Abstract

Background
This study investigates the association between the Geriatric Nutritional Risk Index (GNRI), a readily available index measuring the risk of malnutrition, and 30-day postoperative complications following revision total knee arthroplasty (rTKA).
Methods
The American College of Surgeons National Surgical Quality Improvement Program database was queried for all patients ≥ 65 who underwent rTKA between 2015 and 2021. The study population was divided into three groups based on preoperative GNRI: normal/reference (GNRI > 98), moderate malnutrition (92 ≤ GNRI ≤ 98), and severe malnutrition (GNRI < 92). Multivariate logistic regression analysis was conducted to investigate the association between preoperative GNRI and postoperative complications.
Results
Compared to normal nutrition, moderate malnutrition was independently significantly associated with a greater likelihood of experiencing any complication, blood transfusions, surgical site infection (SSI), non-home discharge, readmission, length of stay (LOS) > 2 days, and mortality. Severe malnutrition was independently significantly associated with a greater likelihood of experiencing any complication, septic shock, pneumonia, unplanned reintubation, cardiac arrest or myocardial infarction, stroke, blood transfusions, still on ventilator > 48 hours, SSI, wound dehiscence, acute renal failure, non-home discharge, readmission, unplanned reoperation, LOS > 2 days, and mortality. Severe malnutrition was independently significantly associated with a greater number of complications and had a stronger association with complications compared to moderate malnutrition.
Conclusion
Malnutrition identified by GNRI has strong predictive value for short-term postoperative complications following rTKA in geriatric patients and may have utility as an adjunctive risk stratification tool for geriatric patients undergoing rTKA.
Medical Alert Cards for Patients with Antegrade Continence Enemas (ACEs): A Useful Tool to Increase Awareness
Authors: Bokova Elizaveta , Elhalaby Ismael , Martin-McLain Margaret , Lewis Wendy E. , Feira Christine N. , Lim Irene Isabel P. , Rentea Rebecca M. 
Published: January 2024

Abstract
Purpose
Antegrade continence enema (ACE) procedure, a surgical intervention creating colonic access, demands a physician’s nuanced understanding of the procedure, channel type, tubes utilized, and regimen. This study introduces an instrument to enhance healthcare providers' and caregivers’ familiarity with ACE procedures.
Methods
Medical Alert Cards encompassed (1) contact details, (2) ACE-related information, (3) emergency referral indications, and (4) patient-specific data. A single-institution survey appraising the cards’ efficacy was disseminated among providers and caregivers.
Results
Among 17 providers, the majority (65%) being attendings, 94% affirmed the cards’ utility in elucidating individual patient features. Content coherence was acknowledged by providers (88%) and caregivers (100%), with a readability score of 8 (IQR 7–10). The layout was approved by 88% of respondents, and 55% stated that the cards would inform their personalized management approach. Providers appreciated the clarity of contact details (94%) finding it advantageous for patient referral (18%). Proposed enhancements encompassed adding tube-related information, readability improvement, and visual presentation of the channel. Of the 2 caregivers, all reported their intention to carry the physical card for presentation at medical facilities.
Conclusions
Medical Alert Cards can increase healthcare providers’ and caregivers’ understanding of ACE procedures, facilitating management, and ensuring patient referral to specialized centers.
An Integrated Method for External and Internal Scheduling of Parallel Cluster Tools
Authors: YANG FAJUN 
Published: January 2024

Abstract
Cluster tools are integrated machines for wafer processing in semiconductor wafer fabrication facilities (wafer fabs). Since different kinds of wafers can circulate in a cluster tool simultaneously, it is a fully automated machine environment. The development of scheduling approaches for these extremely expensive machines is essential for improving their operations. We study a scheduling problem on the work center level, i.e. for parallel cluster tools. The performance measure is the total weighted tardiness. All jobs are available at scheduling time. Two different biased random-key genetic algorithms (BRKGAs) are designed to assign jobs to cluster tools and to compute sequences for each single cluster tool. We establish algorithms to compute the time a job spent in a cluster tool, called processing time, given the sequence in which the jobs are processed there. They are embedded into the BRKGAs. Computational experiments based on randomly generated problem instances are carried out. The results demonstrate that the proposed metaheuristics perform well with respect to solution quality and computing time.
Exploring Cancer Patients’ Perspectives on Chemotherapy-Induced Peripheral Neuropathy (CIPN) Experiences and Its Management: A Qualitative Study
Authors: Satiamurthy Raajeswari , Shah Noraida Mohamed , Muin Nur Fa’izah Ab. , Azmi Norazrina , Ismail Che Aishah Nazariah , Yaakob Nor Syafinaz 
Published: January 2024

Abstract
Purpose: Chemotherapy-induced peripheral neuropathy (CIPN) is one of the most common side effects of chemotherapy that can lead to poor quality of life among cancer patients. Currently, no strong and effective CIPN preventive measures exist, while treatment options available are limited. This study aimed to explore CIPN experience among Malaysian cancer patients and potential barriers to its management.
Methods: Semi-structured one-to-one interviews were conducted among cancer patients with a confirmed diagnosis of CIPN. Interviews were audio-recorded, transcribed verbatim, and analysed using thematic analysis.
Results: Twenty-two participants were included in the interviews, with a predominant representation of females (n=12) and primary diagnosis of colon cancer (n=8). Most participants received platinum-based chemotherapy, primarily oxaliplatin (n=10). Twomajor themes emerged with three subsequent subthemes for each: (1) CIPN experiences (subthemes: CIPN symptoms and severity, CIPN tolerance, CIPN awareness) and (2) CIPN management (subthemes: choices of current treatment, effectiveness of treatment, option for a new treatment). The study results indicate that patients experienced CIPN, which was considerably mild and impacted their life activities to a small extent. Although the management of CIPN was able to partly control symptoms, patients experienced side effects from the prescribed medications. Despite this, patients expressed openness to explore new treatments to help them coping better with CIPN.
Conclusion: The study's findings showed the need to manage patients’ understanding regarding CIPN. Current CIPN management among these patients was acceptable, however, their quality of life was impacted. By considering patients’ perspectives, these findings may help to enhance the management of CIPN.
Determining Potential Therapeutic Targets for Venous Thrombosis through Network Pharmacology, Cluster Typing, WGCNA, Machine Learning, Immune Infiltration Analysis, and ceRNA Networks
Authors: Li Zhuoji , Zhong Ming , Fu Kaili , Pang Lingpin , Sun Jie , Huang Tao , Song Lingyue , Guo Dingyu , Cheng Junfen , Sun Xishi 
Published: January 2024

Abstract
BACKGROUND:
Venous thrombosis presents a significant global health challenge, characterized by its high incidence and limited therapeutic effectiveness. Our objective is to leverage the pharmacological insights offered by traditional Chinese medicine networks to identify potential therapeutic targets for venous thrombosis treatment and elucidate their underlying mechanisms of action.
METHODS:
We initiated our study by isolating the active ingredients and targets of Chinese medicine compounds from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database. Concurrently, we acquired venous thromboembolism (VTE) patient data from the Gene Expression Omnibus (GEO) dataset. Utilizing Cytoscape, we constructed a network connecting TCM ingredients, disease targets, and related interactions. Molecular subtypes were determined through target information clustering and typing using the "ConsensusClusterPlus" software package. Key genes were subsequently identified through a combination of weighted gene co-expression network analysis (WGCNA) and machine learning techniques. Functional enrichment analysis was performed on these key genes. Subsequently, we investigated immune cell and immune function differences related to the identified key genes. Lastly, we constructed the competing endogenous RNA (ceRNA) network associated with PPP2R1A.
RESULTS:
Our initial analysis identified several key genes, including FOS, ICAM1, CASP3, and HSP90AA1. Subsequent functional and downstream analyses revealed that two central hub genes, PPP2R1A and RPL9, may represent novel targets for VTE therapy. Notably, these hub genes are not only associated with thrombospondin and platelet function regulation but also play a role in modulating T cell expression in immunoassays. In conclusion, our findings suggest that ten lncRNAs may compete with two miRNAs for binding, thereby regulating PPP2R1A target genes, with potential implications for improving VTE treatment efficacy.
CONCLUSION:
Our current findings offer a novel direction and serve as a theoretical foundation for identifying therapeutic targets in the treatment of VTE. Furthermore, these findings hold the potential to facilitate the translation of our research into clinical applications in the future.
Seismic Behaviour of Rcc Framed Buildings With Different Structural Framings
Authors: Ambrish G , K Chethan 
Published: January 2024

Abstract

Beam-slab, flat plate, and flat slab systems are commonly used structural systems. Reinforced concrete multistory buildings with large spans can reduce the number of columns needed to support the building, which can reduce cost and increase the useable space. The seismic resistance offered by a structure is primarily attributed to the combination of its elastic strength, damping capabilities, and inelastic deformability. This paper compares the seismic performance of four different structural systems in a medium-rise reinforced concrete building with a fixed base. The four selected structural forms for a fixed-base reinforced concrete building are subjected to a set of selected earthquakes and analyzed using nonlinear time history analysis to study the seismic response parameters, such as the time period, base shear, peak roof displacement, and peak roof acceleration, for soil type hard in seismic zone v as per BIS code 1893–2016(Part 1).
Analysis of Losses in a Three-Port High-Frequency Transformer Under Different Frequencies and Load Conditions
Authors: Arizaga Francisco J. , Ramirez Juan M. , Alcalá Janeth A. , Rojas Armando G , Sabory Rafael A. 
Published: January 2024

Abstract
Conventional transformers exhibit losses due to their intrinsic electrical resistance. In contrast, high-frequency transformers provide the advantage of notably decreasing these losses due to the significantly lower currents flowing through the conductors. Moreover, in high-frequency transformers, the losses in the magnetic cores are often reduced because of decreased eddy currents and hysteresis. This article analyzes the losses incurred by a multiport transformer due to fluctuations in operation frequencies and loads applied to its outputs. An analysis of voltage drop variations is conducted under two distinct circumstances. In the first case, there are two load ports and one power supply port. In the second situation, one of the ports is converted into a power source, creating a transformer with two inputs and one output. An extensive analysis of the high-frequency core’s behavior is conducted, which includes a meticulous assessment of hysteresis losses and operational conditions for each scenario. This study entails a quantitative assessment of variations under different load conditions. Three-dimensional (3-D) finite element experimental measurements and finite element analysis (FEA) findings 1 are employed to demonstrate the above instances. This work analyzes how various transformer topologies, including the triple active bridge (TAB), affect the physical and electrical properties. Consequently, it enhances understanding and enables more efficient design of these devices for power electronic transformers (PET).
Precision in Pursuit: A Multi-Consistency Joint Approach for Infrared Anti-UAV Tracking
Authors: Zhang Junjie , Lin Yi , Zhou Xin , Shi Pangrong , Zhu Xiaoqiang , Zeng Dan 
Published: January 2024

Abstract

In addition to addressing the issues commonly encountered in generic visual object tracking, Anti-UAV tracking endeavors necessitates coping with the diminutive characteristics of infrared UAV targets, potential discontinuities of targets between adjacent frames due to irregular motion patterns and camera rotations, and the occurrence of drastic target deformations. To effectively tackle these challenges, we present a multi-consistency joint approach tailored for infrared Anti-UAV tracking. The concept of consistency is realized across three pivotal perspectives: Firstly, by acknowledging the inherent motion consistency of targets, we introduce the Robust Motion Constraint Module (RMCM). This module effectively mitigates tracking drift issues and enhances the precision of local tracking by imposing constraints on the position and size variations of the tracked results through an adaptive cost matrix. Secondly, we design the Flexible Spatial Remapping Module (FSRM) grounded in spatial consistency. This module facilitates the identification of correspondences between images in adjacent frames, effectively resolving the substantial target displacement arising from the relative motion between UAVs and cameras. Lastly, we propose the Adaptive Template Update Strategy (ATUS) to address the challenge of significant target deformations. This strategy dynamically selects alternate templates to ensure feature consistency, thereby maintaining stable tracking even in the face of drastic pose changes. The experimental results on benchmark datasets unequivocally demonstrate that our approach achieves promising advancements compared to state-of-the-art models. We will make our code publicly available upon the acceptance of our paper.
Completely Independent Spanning Trees in Eisenstein-Jacobi Networks
Authors: Hussain Zaid , AlAzemi Fawaz , AlBdaiwi Bader 
Published: January 2024

Abstract

In this work, we propose construction algorithms to build Completely Independent Spanning Trees (CIST) in EJ networks with time complexity of $O(n)$, where $n$ is the total number of nodes in the network. We present a sequential and a parallel CISTs construction algorithms. Their communication complexities are $O(d)$ and $O(1)$, respectively, $d$ is the tree depth. Based on the constructed CISTs, we developed a novel fault-tolerant communication algorithm that can be used for routing, broadcasting, and secure message distribution with $O(n)$ time complexity. Simulation results of our work illustrate the average of maximum number of steps required to deliver a message from the root node of any CIST to any destination in all trees. CISTs shows that it is more reliable than ISTs in terms of root node failure and node loads.
Do knowledge management and Key customer-focused enhances banks' performance and competitive advantage in Ethiopia?
Authors: Kant Shashi , Jabo Dawit , Borji Berhanu 
Published: January 2024

Abstract
The study explores how customer-focused strategies and efficient knowledge management methods of banks contribute to competitive advantage and eventually influence bank performance, drawing upon the resource-based view and customer association management theories. Data was gathered from a sample of commercial banks of Ethiopia in Dilla district through questionnaires utilizing a quantitative research approach, and structural equation modeling techniques were used for analysis. The findings demonstrated that Knowledge Management significantly and favorably affected Competitive Advantage, highlighting the need of efficiently managing knowledge assets. Nevertheless, it was discovered that there was no statistically significant association among Key Customer Focus/ Knowledge Management and Bank Performance and the mediating impacts of Competitive Advantage. Furthermore, investing into knowledge management techniques and encouraging a culture of learning may help banks become more innovative, streamline operations, and adapt to shifting market conditions.
Nutritional and therapeutic potential of functional components of brown seaweed: A review
Authors: Alloyarova Yuliya , Kolotova Daria , Derkach Svetlana 
Published: January 2024

Seaweed has a unique chemical composition with an abundance of bioactive substances. In Russia, brown seaweed grows in the coastal areas of the Pacific Ocean (Far East) and the seas of the Arctic Ocean.
This review focuses on the therapeutic and nutritional potential of functional components of brown seaweed. It was based on a systematic analysis of research and review articles published from 2010 to 2023 and indexed in Scopus, Web of Science, and eLIBRARY.RU. Our particular interest was in seaweed’s bioactive components such as polysaccharides, phenolic compounds, vitamins, lipids and fatty acids, proteins, peptides, and amino acids.
Compounds extracted from brown seaweed exhibit antioxidant, antiglycemic, antitumoral, neuroprotective, anti-inflammatory, anticoagulant, antibacterial, and immunostimulating properties. Brown seaweed and its derivatives are used as structural modifiers, antioxidants, preservatives, moisture-retaining agents, and sources of vitamins and minerals in the development of functional and preventive food products. They are also used as ingredients in meat, dairy, bakery and flour products, as well as in food additives and beverages, to provide potential health benefits and essential nutrients.
Studies have proven the functional effectiveness of food products containing brown seaweed and its derivatives. The incorporation of seaweed components into functional foods could contribute to global food security. More research is needed to develop new competitive products based on seaweed and to investigate them for the presence of substances hazardous to humans and the environment.
Cheap and efficient strategy for photocatalytic degradation of ionic liquids by La/Ce-codoped TiO2@PAM composites
Authors: Liang Honglian , Jiao Jianli , Dou Danyang , Li Siyu 
Published: January 2024

Abstract

Ionic liquids are regarded as green solvents mainly due to their non-volatile and easy regeneration and recycling properties. However, ionic liquids have negative effects on the environment and human health, especially alkyl imidazole ionic liquids are more toxic than traditional organic solutions. Studies on the toxicology, ecotoxicology, and degradation of ionic liquids are rarely found in the literature. Here, we prepared the cheap La and Ce-codoped TiO2@PAM (polyacrylamide) composite microspheres with a simple procedure for the first time to degrade three kinds of imidazole ionic liquids with high efficiency. The experimental results show that the composite La (0.25%) and Ce (0.15%)-codoped TiO2@PAM composite microspheres with calcination temperature of 450 °C had a high photocatalytic activity for 1-butyl-3-methyl imidazolium hexafluorophosphate, 1-hexyl-3-methyl imidazolium hexafluorophosphate, and 1-octyl-3-methyl imidazolium hexafluorophosphate with the concentration of 10 mg/L. The photocatalysis degradation extent of the three ionic liquids is 97.4, 91.2, and 88.5% at 90 min. This work opened a new route for the simple preparation of cheap composite microspheres in the photocatalytic degradation of ionic liquids with a high efficiency.
Rasgos adaptativos al fuego en cinco especies forestalesen una formación vegetal subxerófila en la selva central del Perú
Authors: Monteverde­ Calderón Gianlucca , Palacios­ Ramos Sonia , Chavesta­ Custodio Manuel 
Published: January 2024

Los incendios forestales se han vuelto cada vez más frecuentes y devastadores, amenazando la diversidad vegetal de los bosques tropicales; por esta razón, es esencial identificar y analizar cuidadosamente los rasgos funcionales de las diferentes especies arbóreas que sean particularmente susceptibles a los efectos de estos incendios. En este contexto, el presente estudio consistió en caracterizar los rasgos funcionales relacionados con la adaptabilidad al fuego en una formación vegetal subxerófila del valle de Chanchamayo (Junín, Perú) mediante la medición de la ramificación (Índice de Dominancia Apical), densidad básica (DB) y espesor de corteza (Ect) en cinco especies adaptadas al fuego Curatella americana L., Astronium graveolens Jacq., Machaerium hirtum (Vell.) Stellfeld, Luehea paniculata Mart. y Physocalymma scaberrimum Pohl. Las evaluaciones de los rasgos funcionales fueron tomadas en dos poblaciones distintas, una con evidencia de quema y otra sin evidencia. Los resultados de las dos poblaciones fueron comparados para analizar la influencia del fuego en los rasgos evaluados. El valor promedio del IDA, DB y Ect en árboles afectados por quemas fue de 2,662 m­-1, 0,461 g/cm3 y 8,636 mm respectivamente y de árboles no quemados fue de 1,945 m­-1, 0,467 g/cm3 y 5,150 mm respectivamente. Finalmente, se encontró que una mayor ramificación y grosor de corteza puede implicar una adaptación de las especies a quemas a las que han sido expuestas; mientras que la densidad básica en ramas no muestra alguna relación con suficiente evidencia estadística para demostrar una influencia de la quema sobre el árbol.
Efficacious, Nutritious and Delicious or Risky? Exploring the FODMAP Diet to
Manage and Treat Irritable Bowel Syndrome
Authors: Valk Reimara , Hammill James , Valk Mieke 
Published: January 2024

Abstract:
Irritable bowel syndrome (IBS) is a debilitating, complex, chronic disorder with a multifactorial etiopathogenesis, pathophysiology and clinical
phenotype. IBS is the most common disorder of gut-brain interaction (DGBI), with a prevalence ranging from 7% to 23% globally. The burden of
IBS on patients is considerable in terms of reduced quality of life. Furthermore, the costs to healthcare systems and society are substantial as IBS
accounts for billions of dollars in direct and indirect medical costs. Common symptoms of IBS are bloating, reoccurring episodes of abdominal
pain, excessive flatus, constipation, diarrhea or alternating bowel habits. Many IBS patients have associated ingestion of specific foods with GI
symptoms onset or exacerbation and have therefore, attempted dietary therapy for the treatment and control of their GI symptoms. The low
fermentable oligo-, di-, mono-saccharides, and polyols (FODMAP) diet is currently the most evidence-based and internationally accepted viable
first-line dietary therapy for IBS. FODMAPs are short-chain carbohydrates that are poorly or incompletely absorbed in the small intestine and
subsequently fermented by the colonic microbiota, leading to the production of gases, such as hydrogen, carbon dioxide, and methane. There is a
recognized need to elucidate how FODMAPs induce GI symptoms and to understand how the 3-phase (restriction, re-introduction and
personalization) FODMAP diet works. Hence, the objective of this review article is to elucidate the pathophysiological central and peripheral gutrelated
mechanisms through which FODMAPs cause GI- symptoms, to expound the implementation of the FODMAP diet and to highlight and
confute concerns around the safety and risks of the FODMAP diet long-term.