bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microbial Sulfur Pathways and Outcomes in Tailings Impoundments: A Mesocosm Study
Authors: Gordon Jay , Apte Simon C. , Nelson Tara E. Colenbrander , Whaley-Martin Kelly , Twible Lauren E. , Chen LinXing , Liu Felica , McGarry Samantha , Banfield Jillian F. , Warren Lesley A. 
Published: June 2024

Abstract

In mine wastewaters, three microbial sulfur oxidation pathways have the potential to cause different water quality outcomes that can differ from abiotic model sulfate and acidity predictions, currently used to monitor potential sulfur risks. However, studies integrating microbiology and geochemistry in active mine tailings impoundments, are very limited. Here, we developed a novel diagnostic approach to detect microbially driven sulfur pathways. Within this 28-day study, eight, on-site, 500 L mesocosms were filled with water extracted directly from the water cap of an active Ni/Cu mine tailings impoundment. Diverse combinations of tailings, sulfur compound and nitrate amendments were added to the environmental mesocosms simulating common operational variations experienced by active tailings impoundments. Mesocosm results linked SOx, S4I, and incomplete SOx + rDSR pathway occurrence (metagenomes, inferred from the identity, i.e. 16S rRNA) and activity (mRNA) to physico-chemistry and S geochemistry. By integrating the three lines of evidence, the diagnostic approach was able to identify which S pathways were active under varying physico-chemical conditions and how sulfur geochemical outcomes were affected. A relationship emerged between acid generation and SoxCD occurrence, indicating complete SOx pathway activity. However, observed proton yields and sulfate concentrations were lower than those predicted by SOx pathway activity alone, indicating other pathways, e.g., SOx and the partial S4I pathways (within Thiomonas and Halothiobacillus), and/or activity of the incomplete SOx pathway (within Thiobacillus and Desulfurivibrio), when not coupled to rDSR and/or paired with use of nitrate, were influencing overall S outcomes.
D-Dimer Levels in Patients with Acute Venous Thromboembolism and Occult Cancer: TheDd-Neo Study
Authors: Cosmi Benilde , Lasala Elisa , Borgese Laura , Cavazza Stefania , Legnani Cristina , Sartori Michelangelo , Palareti Gualtiero 
Published: June 2024

Abstract

Introduction: Cancer is associated with a prothrombotic state and venous thromboembolism (VTE) can be the first manifestation of occult cancer. However, no impact on survival of extensive cancer screening in VTE has been demonstrated. Limited data are available on the association between D-dimer (DD), a non specific marker of activation of coagulation, at VTE diagnosis and occult cancer.
Objectives: to investigate whether DD levels at VTE diagnosis are associated with subsequent cancer development.
Design: retrospective cohort conducted in a single tertiary care hospital from 2008 to 2018.
Participants:consecutive patients diagnosed with symptomatic VTE and without known overt cancer underwent routine clinical evaluation and laboratory tests. In case of abnormal findings, further targeted tests were performed.
Primary outcome measures: cancer development within 12 months since VTE diagnosis.
Results: 843 patients (413 women - 49%, median age 67.3 years; 10 lost to follow-up -1.2%) were included of whom 567 (67%) had unprovoked VTE. Median DD was 2,750 ng/mL (range 30-45,320) and DD was above 8,000 ng/mL in 151 patients (18%). During follow-up, 37 patients (all above 60 years) developed new cancers (4.6 percent patient years; 95% Confidence Intervals-CI:3.3-6.3). Multivariate regression showed that age above 60 years (Hazard Ratio-HR 11.7; 95% CI: 1.58-86.6; p=0.016) and DD above 8,000 ng/mL (HR: 2.5 95% CI:1.22-5.24; p=0.012) were independently associated with subsequent cancer development.
Conclusions: Patients older than 60 years at VTE diagnosis may deserve extensive screening for occult cancer, and DD above 8,000 ng/mL may be a sign an index of occult cancer.
Global Research Trends on Sleep Health in Nursing Research: a Bibliometric and Visualized Analysis
Authors: Çağlar Songül 
Published: June 2024

Abstract

Aim: Sleep is an important phenemon of nursing practices. This study set to present a general overview of sleep publication in nursing research using bibliometric indicators.
Design: This study was a bibliometric analysis.
Methods:The global literatures about sleep in nursing research published were scanned in the Web of Science Core Collection (WoSCC) database. “Sleep” and “nursing” was used as the keyword to reach the relevant publications. VOSviewer was applied to perform the bibliometric analysis of these articles.
Results: A total of 2627 publications on sleep education were included. Most of the papers were research articles (2.320, 88.3%) and highest number of publications was in 2022 (247, 9.4%). The most common publication language was English (2.511; 95.6%). For the last five years, between 1133 publications have been made about sleep. The most three used keywords were “sleep,” “nurses,” and “fatigue”. The journal with the highest number of publications was Journal of Clınıcal Nursing (n=177, 6.8%). The journal most cited was Journal of Advanced Nursing (n=172, 6.5%). The most cited paper was " Advancing the science of symptom management " made by Dodd. in 2001 (648, total link= 30). In total, 1,777 authors published included papers. Ceolim MF was the most prolific authors with 23 publications (Universidade Estadual de Campinas). The United States is the country with the most publication (n=1.026, 39.5%).
Conclusions: This bibliometric study revealed the research points and trends in the field of sleep in nursing research. The study presented sleep researchers with the topics that attract attention for new research, the authors and countries that publish the most, and the journals that publish sleep articles most frequently.
Effect of Cultivar Variability on Physiological Response of Oil Palm to Drought Stress
Authors: Jaredi Zainab Sahabi , Shaharuddin Noor Azmi , Abdallah Siti Noor Akmar , Azzeme Azzreena Mohamad 
Published: June 2024

Abstract

Drought stress presents a daunting challenge to oil palm cultivation, provoking a number of morphological and physiological responses that impact growth and development. In this study, the effects of drought stress on three cultivars of oil palm, namely GH500 (GH), Yan-gambi (YM) and Carlix (CX) were investigated by subjecting them to varying degrees of drought conditions. Morphological alterations, including leaf drying and necrosis, along with reduced root mass and volume, were observed in drought-stressed seedlings compared to well-watered controls. Additionally, chlorophyll content exhibited distinct patterns among cultivars under different drought intensities, with GH showing pronounced sensitivity even to mild stress. Chlorophyll reduction was accompanied by diminished transpiration rates, indicating the plant's adaptive response to conserve water under stress conditions. Interestingly, the decline in chlorophyll concentration preceded the onset of severe drought, highlighting its potential as an early indicator of stress. Concurrently, photosynthesis exhibited a decreasing trend with increasing drought severity, reflecting the pivotal role of chlorophyll and intracellular CO2 concentration in sustaining photosynthetic activity. Despite reduced transpiration, CX and YM cultivars displayed a balance between photosynthesis and transpiration, indicating their adaptive capacity to maintain essential physiological functions. Based on these observations, it can be inferred that the YM and CX cultivars may possess higher resistance or tolerance to drought stress compared to the GH cultivar. The complex interplay between physiological parameters emphasize the multifaceted nature of oil palm's response to drought stress, with implications for its long-term viability and resilience in changing environmental conditions. Our findings shed light on the mechanisms underlying oil palm's response to drought stress and provide valuable insights for enhancing its stress tolerance and sustainability in the face of climate variability. Exploring the proteomics and metabolomics governing the plant response will go a long way in providing effective clues for interventions efforts to mitigate the effects of drought on oil palm.
Steam Turbine Anomaly Detection: An unsupervised learning using Enhanced LSTM Variational Autoencoder
Authors: Zhang Peng , xu weiming 
Published: June 2024

Abstract

As a core equipment of thermal power generation, steam turbines incur significant expenses and adverse effects on operation when facing interruptions like downtime, maintenance, and damage. Accurate anomaly detection is the prerequisite for ensuring the safe and stable operation. However, challenges in steam turbine anomaly detection, including inherent anomalies, the absence of temporal information analysis, and the complexity of high-dimensional data, leading to limitations in existing unsupervised methods. To address these issues, we propose an Enhanced Long Short-Term Memory Variational Autoencoder using Deep Advanced Features and Gaussian Mixture Model (ELSTMVAE-DAF_GMM) for precise unsupervised anomaly detection. Specifically, by integrating LSTM with VAE, the LSTMVAE model was introduced to project the high-dimensional time series data to a low-dimensional phase space. Furthermore, novel deep advanced features combine deep features and reconstruction errors from LSTMVAE, significantly enhancing anomaly detection performance by representing comprehensive information and exhibiting nonoverlapping distributions in phase space. Additionally, a sample selection mechanism is developed to eliminate anomalous samples during training, improving the model precision and reliability. The study utilizes real operating data from steam turbines and conducts both comparison and ablation experiments, demonstrating superior anomaly detection outcomes characterized by high accuracy and minimal false alarm rates compared to existing approaches.
Proud Parenting in the Junior Lifeguard Program
Authors: Belcher Danielle J. , Vickland Danielle Wong , Stellino Megan B. 
Published: June 2024

Abstract

Parental involvement has been shown to be a crucial factor in children’s successful participation in youth programs (Coakley, 2006). Beliefs in the potential growth for their child afforded through participation and the engagement that requires significant sacrifices (i.e., time, resources, finances) may be reasons why parents make specific choices associated with their children’s development (Jacobs, Vernon, & Eccles, 2005). The Junior Lifeguard (JG) program is a youth ocean safety and education program that utilizes the beach environment for cognitive, physical, and emotional development. The purpose of this study was to explore parents’ pride associated with their child(ren)’s participation in the JG program. Parents (N = 121) completed open-ended survey questions related to their pride in consideration of their child(ren)’s participation in the JG program. Thematic analyses of parents’ responses revealed an overarching theme of ‘Opportunity’ and two subthemes of ‘Development’ and ‘Community’ from the data. Parents’ motivation to provide their children with developmental opportunities through the JG program were evident through feelings of pride derived from tangential involvement.
Analysis of genes associated with Alzheimer's disease and endoplasmic reticulum stress
Authors: Liu Ziyu , Li Fei 
Published: June 2024

Abstract

Objecitve Endoplasmic reticulum (ER) stress can activate the unfolded protein response (UPR), and sustained activation of UPR is closely associated with inflammation and neuronal dysfunction, ultimately leading to neurodegeneration. This study aims to identify potential targets related to ER stress, aiming to provide new insights into the treatment of Alzheimer's disease (AD).
Methods We conducted differential expression analysis of the GSE4757 dataset in the Gene Expression Omnibus (GEO) database using the GEO2R tool and performed Venn analysis to identify differentially expressed genes (DEGs) related to ER stress. Subsequently, we annotated the functions of DEGs in GSE4757 and ER stress genes, constructed a protein-protein interaction network using Cytoscape, and identified hub genes.
Results The GSE4757 dataset contained a total of 407 DEGs, with 33 genes overlapping with those related to ER stress. The biological processes involved in these genes mainly include mesenchymal morphogenesis, muscle growth, and ossification regulation. KEGG analysis revealed that these genes mainly participate in cellular pathways such as the basal cell carcinoma signaling pathway, breast cancer, and pertussis signaling pathway. We also constructed a protein-protein interaction network of overlapping genes and identified four hub genes related to ER stress in AD by Cytoscape.
Conclusion We used bioinformatics to study the potential role of ER stress related genes in AD, analyzed the functions of hub genes and their involvement in biological processes, and revealed new targets for intervening in ER stress, thereby providing a new direction for treating AD.
An RMLU-DLNN and BF-GAO based heat transfer assessment of conformal cooling channel in injection molding process
Authors: Paraye Prashant , Sarviya R.M. 
Published: June 2024

Abstract

Injection molding is a widely utilized manufacturing process across various industries. The cooling time in injection molding is an important factor that affects the productivity and energy consumption of the process. The production efficiency is directly proportional to the cooling efficiency, yet optimizing this cooling process presents significant challenges. The fixed cooling parameters are not suitable for all types of material, thus increasing the molding deviation. To address these challenges, this research work proposed an RMLU-DLNN-based material prediction with optimization of derived variables using the BF-GAO approach. Initially, the features are extracted from the raw materials and then the material type is predicted by using RMLU-DLNN. Conversely, the various machine properties are clustered utilizing the BDDF-FFC methodology. Subsequently, parameters are derived from both the predicted material and the clustered machine property. The pressure of the machine is controlled by a QCO-PID controller. Then, the optimal parameters are selected from the BF-GAO algorithm. In the optimal parameter selection, the multi-objective is considered by minimization of temperature, cooling time, pressure drop, and power consumption. In experimental analysis, the performance of the proposed approach is analyzed with the existing approaches. The proposed approach attains 98.9% accuracy, which is higher than existing approaches.
Analysis of the trend of dry spells and how ocean factors affect its patterns during the summer monsoon in Bangladesh using the Mann-Kendall and Frontier Atmospheric General Circulation Model
Authors: Monir Md. Moniruzzaman , Sarker Subaran Chandra , Rahman Md. Mostafizur , Islam Md. Nazrul 
Published: June 2024

Abstract

To assess drought risk, susceptibility to food security, and water resource utilization, it is crucial to comprehend dry spell patterns from a hydrological perspective. Some regional studies have noted an extension of dry spells on a global and regional scale, but it is still unclear how often dry spells occur during the summer monsoon season, which is dominated by rainfall. This study uses the Mann-Kendall trend test to examine the trend of dry spells during Bangladesh's summer monsoon from 1985 to 2022 to close this gap. Using the Frontier Atmospheric General Circulation model and remote sensing methods to examine the effects of ocean elements such as Indian Ocean Dipole (IOD), Sea Surface Temperature (SST), El Niño-Southern Oscillation (ENSO) conditions, and the zonal wind. Daily rainfall data for 34 weather stations were obtained from the Bangladesh Meteorological Department, while surface water occurrence and change intensity data were retrieved from the JRC Global Surface Water Mapping Layers, v1.3 (FAO, UN). The NOAA Physical Sciences Laboratory (PSL) and the Tokyo Climate Center/WMO Regional Climate Centre in RA II (Asia) provided the IOD, SST, ENSO, and zonal wind data. A notable dry spell anomaly over Bangladesh was also noted in this research, with the short, medium-length, and long dry spells increasing in 82.35%, 73.53%, and 50% of weather stations. When El Niño was present, there was less of a dry spell and more during La Niña. The climatic variability of IOD events and SST anomalies in the eastern and western tropical Indian Ocean were also noted by this study to be connected to these anomalous events. The correlation coefficient between summer monsoon rainfall and DMI is 0.34. Throughout the study period, there were changes in the upper atmosphere's and lower troposphere's wind circulation. The study allows the prioritization of regions for drought, effective water resource management, and food scarcity preparedness.
Prosthodontic Rehabilitation with All-on-Four Implant Treatment Combined CAD/CAM Prosthesis in an Oral Cancer Patient: A Case Report
Authors: Huang Yi-Fang , Chang Chung-Ta , Lin Chih-Hung , Shen Yu-Fu 
Published: June 2024

Abstract

Background
The microvascular free fibula (MFF) flap is a reliable treatment modality for mandibular reconstruction and is suitable for dental implants placement after oncologic surgery. The most encountered problem of the MFF flap is the limited bone height, which usually causes excessive interarch space and increases the difficulty of prosthodontic therapy. Overcoming the physical limitations derived from tumor excision and shortening the treatment time of prosthodontic rehabilitation to recover quality of life are critical issues in clinics.
Case presentation:
A 64 y/o male suffering from lower left gum and bilateral buccal cancer received a single layer microvascular MFF flap to reconstruct the mandibular defect after a tumor excision. He received a bilateral modiolus Z-plasty combined skin flap debulking procedure to relief the oral contracture, and the mouth opening was adequate for prosthodontic rehabilitation. The scar tissue band on the bilateral check greatly impacted the retention and stability and restricted the performance of dental impression. The patient requested prosthodontic rehabilitation to improve his chewing function and life quality as soon as possible. The prosthodontic rehabilitation with all-on-4 implant therapy combining computer aided design and computer assisted manufacturing (CAD/CAM) was accomplished within one month.
Conclusion
This case utilized the all-on-4 implant system to overcome the insufficient fibular height for conventional dental implant placements. The dental CAD/CAM was used to mill the custom prosthetic abutment and huge titanium framework of the implant bar overdenture derived from the excessive interarch space between the grafted fibula and maxilla. This treatment modality successfully shortened the time of prosthodontic rehabilitation and overcame anatomic limitations.
Extrapyramidal spinal tracts impairment in patients with degenerative cervical myelopathy evaluated with the magnetization transfer saturation technique
Authors: Filimonova Elena , Abdaev Mars , Vasilenko Ivan , Kubetsky Yulij , Prokhorov Oleg , Rzaev Jamil 
Published: June 2024

Abstract

Study design:
Prospective case-control study.
Objectives
We investigated the use of the magnetization transfer saturation (MTsat) technique to assess the structural integrity of the spinal cord tracts in individuals with clinically significant degenerative cervical myelopathy (DCM) and associated disability.
Setting:
Novosibirsk Neurosurgery Center, Russia.
Methods
A total of 53 individuals diagnosed with DCM and 41 patients with cervical radiculopathy underwent high-resolution MRI of the cervical spinal cord via the magnetization transfer technique. The MRI data were processed using the Spinal Cord Toolbox (v5.5), with MTsat values determined for each spinal tract and compared between the two groups. Furthermore, associations between MTsat values and the clinical disability rates of patients were investigated.
Results
A significant decrease in the MTsat of the ventral spinocerebellar tract was observed in the DCM group compared to the control group (adjusted p < 0.001). There was a trend towards lower MTsat values in the rubrospinal tract in the DCM group (adjusted p = 0.08). Additionally, a decrease in MTsat values in the lateral funiculi of the spinal cord was found in patients with DCM (adjusted p < 0.01). Furthermore, a trend toward a positive correlation was observed between the JOA score and the MTsat values within the ventral spinocerebellar tract (R = 0.33, adjusted p = 0.051).
Conclusions
The findings of our study indicate that demyelination in patients with DCM affects mainly the ventral spinocerebellar and rubrospinal tracts, and the extent of changes in the ventral spinocerebellar tract is related to the severity of the condition.
Rationally synthesized framework polymer membranes enable high selectivity and barrierless anion conduction
Authors: Yang Zhengjin , Fang Junkai , Zhang Guozhen , Goulet Marc-Antoni , Zuo Peipei , Li Hui , Jiang Jun , Guiver Michael , Xu Tongwen 
Published: June 2024

Abstract

The understanding gleaned from studying ion transport within the interaction confinement regime enables the near-frictionless transport of cations (e.g., Na+/K+). However, anion transport (e.g., Cl-) is suppressed under confinement because of the different polarization of water molecules around cations and anions, also known as the charge asymmetry effect. Here we report the rational synthesis of anion-selective framework polymer membranes having similar densities of subnanometer-sized pores with nearly identical micropore size distributions, which overcome the charge asymmetry effect and promote barrierless anion conduction. We find that anion transport within the micropore free volume elements can be dramatically accelerated by regulating the pore chemistry, which lowers the energy barrier for anion transport, leading to an almost twofold increase in Cl- conductivity and barrierless F- diffusion. The resultant membrane enables an aqueous organic redox flow battery that utilizes Cl- ions as charge carriers to operate at extreme current densities and delivers competitive performance to counterparts where K+ ions are charge carriers. These results may benefit broadly electrochemical devices and inspire single-species selectivity with separation membranes that exploit controlled or chemically gated ion/molecule transport.
New Mathematical Approximations for the Cumulative Normal Distribution Function
Authors: Etesami Reza , Madadi Mohsen , Keynia Farshid , Arabpour Alireza 
Published: June 2024

Abstract

The normal cumulative distribution function and its derivatives, such as the error function, the Q-function, and the Mills ratio, are widely used in engineering, mathematics, statistics, computer science, diffusion theory, communication theory, physics, and chemistry. However, their non-closed form nature has led to the development of new approximations with varying levels of accuracy and complexity. These new approximations are often more accurate; nevertheless, they can also be more complex, which may limit their practical utility. In this article, a new approach for approximating is proposed. which combines Taylor series expansion and logistic function to create an initial approximation, to enhance the accuracy of the initial approximation, the Hunter-Prey Optimization algorithm is utilized to minimize both the maximum absolute error and the mean absolute error, leading to a significantly more precise approximation. Furthermore, this algorithm is employed to enhance the accuracy of other existing approximations introduced by researchers. The results showed that the improved approximations have much higher accuracy. To show the effectiveness of the new findings of this article, two case studies with applications are presented.