bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interprofessional cooperation and job satisfaction in German intensive care units - a cross-sectional survey within the PRiVENT project
Authors: Fleischhauer Thomas , Biehler Elena , Michels Julia D. , Trudzinski Franziska , Schubert-Haack Janina , Forstner Johanna , Schneider Armin , Kempa Axel , Joves Biljana , Neurohr Claus , Herth Felix JF , Szecsenyi Joachim , Wensing Michel 
Published: July 2024

Abstract

Background: The PRiVENT study aims to reduce the number of long-term ventilated patients by improving interprofessional collaboration among healthcare professionals. To assess the current state of interprofessional cooperation and job satisfaction in intensive care units, a written survey was conducted among service providers from four clusters, each of which consist of one weaning centre and 7-12 other cooperation hospitals.
Methods: The Interprofessional Socialization and Valuing Scale, Assessment of Interprofessional Team Collaboration Scale and the Warr-Cook-Wall Scale were used. In addition to a descriptive analysis, a subgroup analysis was performed comparing scores between physicians and non-physicians and the four clusters. Correlation coefficients were calculated to check for correlations between age group and gender with interprofessional collaboration and work satisfaction. Internal consistency of the questionnaires was assessed via Crohnbach’s Alphas. Analyses were performed using Excel version 1808 and R (version 4.0.3).
Results: A total of 60 questionnaires were filled out by health workers at the WCs and CCs participating in the project, corresponding to a response rate of 46%. 36 (59%) questionnaires were completed by physicians and 24 (41%) by the other health professionals. The average work experience was 18.4 ± 11.4 years. Most respondents rated their personal teamwork skills and interprofessional cooperation as good. Job satisfaction was high, particularly regarding the collegial environment and variety of work tasks. Satisfaction with physical workload, income, and working hours was lower. Non-physicians’ ratings were lower for all questionnaires and most items, although the difference in total scores was not statistically significant. No statistically significant differences were observed between clusters. There was a statistically significant positive monotonous correlation between age group and years of work experience with overall work satisfaction. Internal consistency of the questionnaires was excellent.
Conclusions: The findings show that staff members are generally satisfied with their workplace conditions and environment and rate their individual team skills and interprofessional cooperation as good. Non-physicians were less satisfied with their working conditions, although the difference was not statistically significant. Future surveys at mid-term and at the end of the intervention period will provide insights into the impact of PRiVENT on interprofessional cooperation and job satisfaction.
Registration
The study protocol of the PRiVENT study was registered on 02.03.2022 in the German Register of Clinical Trials under the number DRKS00028196.
Effectiveness of Bacillus megaterium in pretreatment of fish slaughterhouse effluent
Authors: Anderle Gabriele Aline , Haselroth Karen Jaqueline , Rotta Victor Manuel Lustoza , Rosado Adriana Fiorini , Hermes Eliane 
Published: July 2024

Abstract

The use of microorganisms to treat effluents can reduce problems caused by oils and fats in subsequent treatment stages. The present work investigates the use of a lipase-producing microorganism in the pretreatment of effluent from a fish slaughterhouse. Initial preliminary tests were performed with two microorganisms: Staphylococcus warneri and Bacillus megaterium. The following parameters were evaluated after the treatment: chemical oxygen demand (COD), oils and greases (O&G), and lipolytic activity. Bacillus megaterium provided the highest removal efficiencies for the analyzed parameters, consequently this microorganism was then used for the pretreatment of fish slaughterhouse effluent. A central composite rotational design (CCRD) was applied, with pH, temperature, and inoculum concentration as the independent variables. The response variables were lipolytic activity, COD, O&G, free fatty acids, and pH, for a reaction time of 72 h. The maximum values obtained after the treatment were lipolytic activity of 0.25 U mL− 1, COD and O&G removals of 61.11% and 85.8%, respectively, and free fatty acids production of 12.54 µmol mL− 1. The findings showed that the application of Bacillus megaterium significantly reduced the levels of oils and fats, demonstrating the potential of the enzyme for treatment of this type of effluent.
First reported aflatoxigenic isolates of Aspergillus flavus in agroforestry systems in Buenaventura, Valle del Cauca-Colombia
Authors: Arboleda-Riascos Carlos Emiro , Velásquez-Ortiz David , Cossio-Vásquez William , Blandón-Cortes Jaime , Sánchez-Marín Francisco José , Cardona-Montoya José Omar 
Published: July 2024

Abstract

Aspergillus flavus is a common fungus in agricultural and agroforestry systems, and its presence can pose several risks, especially in agroforestry systems. Aflatoxin contamination of staple crops is a major problem in the Pacific region of Colombia. This study aimed to analyze the morphological, molecular and aflatoxigenic characteristics of Aspergillus species found in agroforestry systems in the Buenaventura region of Colombia. The study employed first- and second-degree logarithmic models to analyse fungal growth and its rate of variation over time. Genomic DNA was extracted from individual spore cultures sown on Potato Dextrose Agar (PDA). The DNA was amplified by polymerase chain reaction (PCR) using a reaction mixture consisting of 12.5 µL of PCR Master Mix 2X, 1 µL of each primer and 2 µL of genomic DNA. PCR was used to detect aflatoxins by amplifying the AflS gene using AflS-F and AflS-R. Quantitative analysis was performed using the direct competitive ELISA (CD-ELISA) method. This study presents the initial sequences of Aspergillus flavus linked to agroforestry systems in Buenaventura, Valle del Cauca-Colombia. The sequences for ITS and BenA were deposited in the NCBI GenBank database under the codes PP379903/PP379904 and PP565787/PP565788, respectively. Isolates PP565787 and PP565788 were identified as aflatoxigenic with concentrations of 5.7 ppb and 3.8 ppb, respectively. This article proposes the use of non-toxigenic strains of A flavus and other beneficial microorganisms as biocontrollers through competition, as well as the use of agricultural lime as a sustainable option in agroforestry systems in regions with limited technology.
Oviposition behavior and larval attraction of the fall armyworm Spodoptera frugiperda to different maize plant varieties
Authors: Akinbuluma Mobolade D. , Bamifewe Olubisi O. , Alabi Olajumoke Y. , Timothy Modupe I. J. , Roessingh Peter , Groot Astrid T. 
Published: July 2024

Abstract

Phytophagous insects likely select suitable host plants for oviposition based on olfactory and tactile cues. However, details of how insects differentiate among different plant varieties are often unclear. The fall armyworm (Spodoptera frugiperda J. E. Smith) is a highly destructive pest on maize, but little is known about the attraction and oviposition preference of S. frugiperda to different maize varieties, particularly in the context of sub-Saharan Africa, where the insect is a major threat to maize production. We determined the oviposition preference of S. frugiperda females on six different maize plant varieties three of which were hybrid varieties and three were open pollinated varieties, in multiple-choice and no-choice assays. We also evaluated the attraction preference of S. frugiperda larvae on these maize varieties, using an olfactometer bioassay. We found that S. frugiperda females oviposited significantly less egg masses on the hybrid varieties DEKAIB and 30Y87 than on the other varieties tested, and that females oviposited less on the hybrid maize varieties compared to the open pollinated maize varieties overall. Additionally, we found that S. frugiperda larvae were more attracted to the open pollinated variety LMFP than to clean air, which was not the case for any of the other maize varieties tested. Taken together, our results show that S. frugiperda responds differentially to the different maize varieties and that hybrid maize varieties seem less attractive. Further investigating the chemistry of hybrid maize varieties like DEKAIB might yield clues on how to breed maize varieties with increased resistance against S. frugiperda infestation.
Investigation on the Characteristic and Motion of the Damaged Cabin in Waves
Authors: Song Xuemin , Wang Shaoyu , liu weiqin , Bi Xueqing , Luo Sixiang 
Published: July 2024

Abstract

The ship flooding process is very complicated which will affect the stability and the maneuverability directly, even endangering the ship, people's lives, and property. This paper carries out the experiment and numerical investigation of cabins with openings to study the mechanism of ship flooding. Firstly, the cabin model experiment is conducted in a wave flume. A cabin experimental model with an opening has been designed and manufactured. Then the model is forced to roll in the wave flume, and the phenomenon of water entry is captured with whole conditions. Secondly, the volume of fluid (VOF) model is used to solve the Reynolds-averaged Navier-Stokes equations, as well as with the overset mesh technology is employed to calculate the process of the water entering. The cabin models with different openings are employed for the simulations. The hydrodynamic models of cabins are simulated in rolling in static water. The experimental results and numerical results are compared and analyzed, which verifies the numerical method. Finally, the damaged cabin is simulated in waves with the CFD method, and the characteristic of the damaged cabin is investigated. The water entry impacts the rolling and heaving motion of the cabin. Overall, the CFD simulations show the ability to calculate the nonlinear process of the water entry even though the more precise free surface capturing technology needs be investigated and the efficiency of the CFD method should be improved.
Modelling skidding extraction in mountainous forest though engine data acquisition and analysis
Authors: Bacescu Narcis Mihail , Piol Omar , Talbot Bruce , Marchi Luca , Grigolato Stefano 
Published: July 2024

Abstract

This study investigates the feasibility of using standardized SAE J1939 data from forestry machines, to enhance the decision-making process and ensure the sustainability of forest operations. The study, specifically focusing on a clam-bunk skidder, was conducted between January and September 2023, across three sites in northeast Italy in permeant-cover forest in the Alps region. The main objectives were to identify work phases, determine their durations, calculate fuel consumption, and create models for production and fuel consumption per work cycle, considering extraction distance and terrain slope. The feasibility of the Automated Time Study (ATS) methodology was tested for the first time in a mountainous region with varying slopes and stand compositions. Results showed that over 82% of working cycles were successfully identified, with 60–70% accuracy in identifying work elements within cycles. This high identification rate allows machine operators to detect bottlenecks and improve efficiency, additionally, this methodology aims to predicting future operational impacts and costs based on statistical analysis implemented by using a big data approach. However, the ATS methodology has limitations, potentially leading to significant estimation errors, thus critical thinking and effective communication with machine operators are essential to obtain accurate data.
Experiences in Robotic Colorectal Surgery: Comprehensive Insights from a Multi-center Analysis Using the Senhance Robotic System
Authors: Samalavicius Narimantas E , Karpiciute Rita , Nausediene Vaida , Willeke Frank , Hansen Olaf Martin , Menke Vivianda 
Published: July 2024

Abstract

Introduction: Robotic-assisted surgery has revolutionised minimally invasive approaches, particularly in colorectal surgery. While many single-center studies on colorectal surgeries exist in present literature, including experiences with Senhance® Robotic Systems, comprehensive multi-center studies are lacking. This study, conducted through the TransEnterix European Patient Registry ("TRUST"), aims to assess the safety and feasibility in this context. Methods: The present study explored procedural times, complications, robotic malfunction and limitations, adverse events and pain management outcomes for colorectal procedures, including sigmoid resection, right hemicolectomy and rectal surgery collected in two European centers. Results: Data from 355 colorectal surgeries showed that the median duration of surgery was 147.2 minutes (IQR: 124.3–183.0), the docking time was reported with a median of 3.4 minutes (IQR: 2.0–5.4) and the console time was found at a mean of 84.4 minutes (SD: 33.6). Despite minimal blood loss, pain scores, and robotic malfunction, 2,9% of the cases (10 instances) required conversions to either an open or laparoscopic approach. Further, most robotic limitations were attributed to limited motion (18.9%, 67 cases) and collisions (11.5%, 41 cases). Adverse events (24 cases, 6.8%) were effectively managed, with 23 instances judged completely unrelated to the robotic system. Conclusion: This study underscores the positive outcomes and safety profile of Senhance® Robotic Systems in colorectal surgery, contributing valuable insights for future research and clinical practice.
Groundwater Quality and Associated Risk in Bhatinda District (Punjab, India)
Authors: Bansal J. , Kaur G. , Gupta S. , Kaur P. 
Published: July 2024

Abstract

Today’s most serious threat of world is the water pollution. This is because it impacts flora and fauna of our earth. It is impacting human health in various ways. Pollutants which mainly impact human health are inorganic and organic pollutant as most of them are non-biodegradable and accumulate in the living organism for long time. Due to prolong accumulation, these pollutants exert more hazardous effect compare to biodegradable substances. Major source of contamination of water can be summarized as the dumping of waste in water bodies, excessive use of agricultural chemicals like pesticides, insecticides etc. Today we are facing crucial challenge to consume this polluted water and continues consumption causes potential threat as many of these pollutants are carcinogenic in nature. Today’s lifestyle already facing many health issues and water pollution adding more issues as cancer is prolong chronic disease. Although the issue is worldwide yet we can’t ignore high exposer in developing countries as these countries are seeking for more and more industrialization with less or moderate medical facilities as exposure with carcinogens requires persisting strategy for control of cancer. Thus, we aim to review the wide spread carcinogenic pollutants along with their origin and health risks associated with them. We also provided experimental results of detection of metal ions in ground water of Bhatinda region by using Inductively Coupled Plasma-Mass Spectrometry (ICP-MS) technique.
Multi-path Hybrid Attention Deep Neural Network for Valve Detection
Authors: Zhang First Xuefeng , Huang Second Yonghe , Qu Xiwen 
Published: July 2024

Abstract

Valves Detection is a basic function of rescue robots in various disaster situations. However, due to the small differences between similar valves, rescue robots suffer great challenges in valve detection in complex environments. To address this challenge, this paper proposes a multi-path hybrid attention deep neural network (MHADNN). By weighting features at different scales and spatial positions, the MHADNN can help valve detection models focus on more discriminative subtle features, thereby enhancing the ability to distinguish similar valves. This paper combines the MHADNN with the YOLOv5n to develop a valve detection model. The comparative experiments are conducted on a similar valve dataset collected in the simulated environment of a chemical industrial park. The experimental results show that compared with YOLOv5n, the proposed valve detection model has an average precision improvement of 4.20%. It has excellent performance in distinguishing similar valves.
​​​Inhibition of neuroinflammation and neuronal damage by the selective non-steroidal ERβ agonist AC-186​​
Authors: Katola Folashade , Adana Misturah , Olajide Olumayokun 
Published: July 2024

Abstract

AC-186 (4-[4-4-Difluoro-1-(2-fluorophenyl) cyclohexyl]phenol) is a neuroprotective nonsteroidal selective oestrogen receptor modulator. This study therefore investigated whether inhibition of neuroinflammation contributed to neuroprotective activity of this compound. BV-2 microglia were treated with AC-186 (0.65-5 µM) prior to stimulation with LPS. Levels of pro-inflammatory mediators and proteins were then evaluated. Treatment of LPS-activated BV-2 microglia with AC-186 resulted in significant (p < 0.05) reduction in TNFα, IL-6, NO, PGE2, iNOS and COX-2. Further investigations showed that AC-186 decreased LPS-induced elevated levels of phospho-p65, phospho-IkBα and acetylp65 proteins, while blocking DNA binding and luciferase activity of NF-kB. AC-186 induced significant (p < 0.05) increase in protein expression of ERβ, while enhancing ERE luciferase activity in BV-2 cells. Effects of the compound on microglia oestrogen signalling was confirmed in knockdown experiments which revealed a loss of anti-inflammatory activity of AC-186 following transfection with ERβ siRNA. In vitro neuroprotective activity of AC-186 was demonstrated by inhibition of activated microglia-mediated damage to HT-22 neurons. This study established that AC-186 produces NF-kB-mediated anti-inflammatory activity, which is proposed as a contributory mechanism involved in its neuroprotective actions. It is suggested that the anti-inflammatory activity of this compound is linked to its agonist effect on ERβ.
Dynamics of localized solutions in three core coupled waveguides with quasi-periodic nonlinearity
Authors: Miranda Bruno M. , Avelar Ardiley T. , Cardoso Wesley B. , Bazeia Dionisio 
Published: July 2024

Abstract

In this paper we investigate the behavior of localized solutions, specifically solitons, in a system of three coupled waveguides. The nonlinearity is modeled by a quasi-periodic modulation influencing the interaction between the waveguides. We analyze the evolution of the soliton profiles and their dynamics under varying modulation parameters, highlighting distinct behaviors such as attraction and repulsion among solitons. Our findings reveal that the system exhibits complex behaviors, depending on the interplay between the quasi-periodic modulation and the waveguide parameters. The study contributes to understanding the impact of quasi-periodic nonlinearity on soliton dynamics in coupled waveguide systems, laying the groundwork for potential applications in nonlinear optics and photonic devices.
Exact and heuristic methods for sensor allocation on large and irregular wireless networks
Authors: Totte Diego Rodrigues Moreira , Henriques Felipe da Rocha , Silva Pedro Henrique Gonzalez , Usberti Fábio Luiz , Cardoso Douglas O. , Ogasawara Eduardo , de Assis Laura Silva 
Published: July 2024

Abstract

Wireless Sensor Networks (WSNs) have become ubiquitous across various domains, from household applications to industrial grounds, and critical areas like emergency response and environmental monitoring. While numerous optimization techniques have emerged in the literature to enhance network performance by strategically allocating sensor nodes, most studies in this field rely on heuristic methods. Designing the topology of WSNs is crucial for optimizing node energy consumption, connectivity, and coverage area. In this work, two methodologies are proposed to minimize the overall energy consumption of the network. The first is an exact method using a Mixed Integer Linear Programming (MILP) model. The second is an optimization method based on genetic algorithms (GAs). In the computational experiments, instances were generated based on grid-like networks, some of which assuming highly irregular topologies. The results have shown that the exact approach found optimal solutions for some instances, up to five thousand nodes. In contrast, the GA obtained high-quality solutions for instances with more than 18 thousand nodes in reasonable computational times.
A Rasch Analysis of the Person-Centred Community Care Inventory (PERCCI): Older People’s Experiences of Long-Term Community Support in England.
Authors: Wilberforce Mark 
Published: July 2024

Abstract

Background Person-centredness has become the byword for a modern, high quality care service. Yet measurement of person-centred quality is fraught with difficulty, and existing instruments tend to rely on classical psychometric methods with many untestable assumptions. An important new instrument, the Person-Centred Community Care Inventory, has yet to be subject to modern psychometric techniques.Methods The same 22 initial items used to form the Person-Centred Community Care Inventory were re-examined under a Rasch framework. A re-analysis of nearly 600 questionnaire returns from older people in England with community care needs was undertaken, with this large sample partitioned into a ‘evaluation’ and ‘validation’ sample. In addition, a test-retest inspection of 77 repeat administrations was undertaken.Results Rasch analysis confirmed a more parsimonious form of the scale, comprising two subscales which broadly met key diagnostic tests. Six items evaluated person-centredness in care worker interactions, and a second six items evaluated person-centredness in care plans. When combined into a single 12 item scale using ‘testlets’, the resulting PERCCI-12 suggested satisfactory measurement properties overall, albeit with reduced internal reliability over two separate subscales. Test-retest reliability of the PERCCI-12 was estimated at 0.871 and was robust to sensitivity tests.Conclusion The Rasch evaluation of the PERCCI supports a shorter scale formed of 12 items. This can be analysed as two separate subscales, or as a single summary scale with weaker internal reliability. Future research is needed to reinforce construct validity, to improve interpretability, and to establish minimally important difference.