bluuebunny/crossref_metadata_2025_split huggingface dataset:
INOVATION OF ISLAMIC HOLISTIC MIDWIFERY CARE DOCUMENTATION DIGITAL-BASED AS A LEARNING MEDIA FOR UNDERGRADUATE MIDIWFERY STUDENTS ‘AISYIYAH BANDUNG UNIVERITY
Authors: Annisa Ridlayanti  , Suryad Astuti , Adzkia Iskandar Dhiva 
Published: April 2023

Abstract
The era of the industrial revolution 5.0 demands that information technology systems can be utilized in recording and reporting midwifery care. This is intended to facilitate the achievement of the goal of documenting midwifery care. This study aims to design SOAP Digital as a learning medium and find out the use of digital SOAP innovation.
This study used an experimental approach post test only control group design. Researchers made a pilot project to design and build innovations documenting digital-based Islamic holistic midwifery care. Digital SOAP operation technology interventions are carried out on the object of study. After that, an evaluation or feed back is given through the G-form on the object. The object of this study is a bachelor of midwifery student of FIKes Unisa Bandung. The results of data collection were analyzed using spss for windows software.
The results showed that the digital-based Islamic holistic midwifery documentation application has 2 versions, namely the web version and the android version. This software installation has a capacity of 500 MB and requires less than 1GB of storage. The advantages of designing digital SOAP application innovations are that they are more effective in time (87%), more efficient in using paper (92%), more modern because they can use a PC, laptop, or smartphone (92%), more practical (87%), minimal risk of damaged or lost data (95%), and long data storage (90%). The results of the Spearman rho correlation data analysis test showed p-value of 0.000 < 0.05 so that it can be concluded that there is a correlation between the advantages of digital SOAP applications and student satisfaction.
Acetabular Component Removal Systems
Authors: Njoku Innocent , Surace Peter , Piuzzi Nicolas S. , Deren Matthew E. 
Published: April 2023

» As primary total hip arthroplasty procedures continue to rise, acetabular revision surgery will be in increasing demand.» Treatment of acetabular component failure and associated bone defects depends on patient characteristics, the degree and location of bone loss, the ability of the columns to support biologic fixation, and the presence of pelvic discontinuity.» In revision total hip arthroplasty, technological advances have been made to address limitations of acetabular cup removal while preserving host bone stock.» The goal of acetabular revision reconstruction should be to obtain stable fixation and restore the hip center. The various acetabular cup removal systems are discussed.
Metaboverse data analysis
Authors: Berg Jordan A. 
Published: April 2023

Abstract
The following protocol describes how to use the Metaboverse software. Metaboverse allows for the interactive and automated exploration of metabolic pathways and interesting patterns that emerge in the network, integrating transcriptomics, proteomics, metabolomics data and more. This protocol is adapted from the official Metaboverse documentation, available at: https://metaboverse.readthedocs.io/en/latest/content/walkthrough.html.
Neural Networks and Deep learning approach to predict the Tool life during turning of Nimonic C-263 Alloy
Authors: Sen Samgeeth , Ottakath Ferin Majeed , Gajjela Rajyalakshmi , A Deepa , Selvi Chemmalar 
Published: April 2023

Abstract

In the manufacturing industry, tool wear prediction is critical for increased productivity and product quality. The focus of this study is to compare the results obtained via an artificial neural network (ANN) models for tool wear prediction on machining a nickel based super alloy: Nimonic C-263 alloy with other prediction method and the effects different parameters have on the efficiency of prediction. In this study, flank wear area (in micron2) is used as the wear indication variable during machining since it influences the precision, stability, and reliability of the machine, whereas cutting speed, feed, and depth of cut are used as input factors. Other variables include cutting force, temperature and MRR. The experimentally determined values will be utilised to train an artificial neural network (ANN) for tool wear prediction. To minimise extraneous variables, correlations between the parameters and wear are determined. The ANN model's error of forecasted response values is compared to other models such as linear regression, as well as prediction values without the elimination of variables. A GUI will also be created that lets the user input the necessary parameters to trained neural network model which then predicts the flank wear area. Results indicate that eliminating parameters resulted in reduction of prediction error (from 11–8%) and also it was found that ANN produced better results than linear regression, decision tree and random forest. Hence, more precise estimation of tool wear can be performed in a lesser time-frame. Number of experimental trials had to be limited due to unfavourable circumstances. The dataset size had been increased by assuming linearity between two results. However, this is justified as the objective is to compare prediction accuracies before and after elimination of variables after a correlation study.
Smart City Emergency Management System design Based on the Internet of Things and Artificial Intelligence Algorithms
Authors: Wang Xingpeng , Cui Mingjia 
Published: April 2023

Abstract
The urban emergency management system is very necessary for the construction of a modern city, and it is also an urgent issue faced by the city government managers. Based on the basic theory of urban emergency management, a comprehensive analysis of the successful experience and shortcomings of urban construction and use of emergency management systems at home and abroad is carried out. The purpose, scope and related factors of the urban emergency management system are analyzed in this paper. The working model is detailed. On this basis, this article proposes a framework for urban emergency management system, which is based on a three-dimensional cube structure, and builds a corresponding management system based on this structure. This will be a very important practical application to provide a network of real-time monitoring and operating data systems on the Internet. Provide efficient and practical multi-sensor data fusion algorithm. In order to provide a convenient set of middleware architecture and components, this is the link that connects and manages the sensing layer and advanced application systems, allowing users to apply the data collected by the sensing layer to business processes.
Red Blood Cell DNA Capture and Delivery Drives Host Responses During Polymicrobial Sepsis
Authors: Lam Long Kwan , Cosgriff Christopher , McGinnis John , Eckart Kaitlyn , Klingensmith Nathan , Lanza Matthew , Yehya Nadir , Meyer Nuala , Mangalmurti Nilam 
Published: April 2023

Abstract
Nucleic acid sensing is an essential function of the immune system critical for detecting infection and sterile injury. Red blood cells (RBCs) express the DNA-sensing receptor TLR9 and detect excess CpG-DNA during pathologic states, triggering rapid clearance and immune activation. These findings suggest that RBCs modulate immune responses, yet whether RBCs detect microbial DNA during infection is unknown. We show that RBCs acquire microbial DNA during sepsis. In vitro, RBCs bind microbial DNA and enhance DNA delivery to macrophages. Erythroid-specific deletion of TLR9 attenuated cytokine production and increased splenic bacterial dissemination during polymicrobial sepsis. Congruently, RBC-bound bacterial DNA is elevated in septic patients when compared with healthy subjects, and 16S rRNA gene sequencing of RBC-bound DNA revealed distinct microbial communities that associated are associated with host inflammatory cytokines. These findings identify RBCs as immunomodulatory cells that mediate host inflammatory responses through microbial DNA delivery during sepsis.
The effect of health supply chain system data quality on supply of malaria commodities in lower-level health facilities in Kinondoni Municipal, Tanzania. A longitudinal study.
Authors: Martin Elia , Tebeka Shiferaw Mitiku , Niragire François , Mukanyangezi Marie Francoise , Anasel Mackfallen G. 
Published: April 2023

Abstract
Background: Poor data quality in reports and requisition forms leads to health facilities being supplied with fewer or more health commodities than the actual amount. This may result in over-stock, stock-out and expiries of health commodities at health facilities. This studyassessed the effect of data quality on the supply of malaria commodities in lower level health facilities in Kinondoni Municipal, Tanzania.
Methods: A descriptive research design was used to undertake the study using malaria commodities transaction data submitted by health facilities in the report and requisition form through the electronic Logistics Management Information System (eLMIS) from January 2020 to January 2021. Data was extracted from report and requisition forms and subjected to data quality assessment using data quality dimension factors: data validity, accuracy, timeliness, completeness, uniqueness and consistency. Descriptive statistics such as percentage and frequency as well as a Chi-square test was applied to identify the association between data quality and stock-out of malaria commodities.
Results: The results indicate that the data validity accounts, 39 (26%) of malaria commodities transactions records were reported stock-out and not ordered, 55 (36.67%) of transactions records did not report the stock-out days, and 15 (8.15%) of transactions records demanded malaria commodities despite being over-stocked. Health facilities that order malaria commodities after being stocked-out were observed to have less proportion of stock-out (14.92%) compared to those which were experiencing stock-out and did not order malaria commodities (23.31%). Health facilities reported late in the eLMIS had a higher proportion of stock-out (25%) and under-stock (32.50%) compared to early reporters 16.72% and 24.25%, respectively. Health facilities that neglected to report malaria commodities had a higher proportion of over-stock 27.73% and stock-out 27.31%, compared to the respective stock status of health facilities which reported all malaria commodities (over-stock 21.07% and stock-out 15.18%).
Conclusion: Health facilities that reported poor data quality had more proportion of stock-out compared to those that reported good quality data. Advocacy on good data quality should be emphasized to promote malaria commodity availability and provide quality malaria services in lower-level health facilities in Kinondoni Municipal, Tanzania.
Turkish adaptation of the Mini Z 2.0 clinician worklife survey among physicians
Authors: Ersü Nazmiye Kaçmaz , Bakırarar Batuhan , Tatlı Safiye Zeynep 
Published: April 2023

Abstract

Background
Physicians represent one of the occupational groups that frequently face stress, job dissatisfaction, and burnout in their careers. The Mini Z 2.0 Clinician Worklife Survey was developed as a new, easy-to-use tool for identifying the factors which cause burnout, job dissatisfaction, and stress among physicians. There are no scales that assess different factors of worklife practically and collectively among physicians. This study therefore aimed to evaluate the Turkish validity and reliability of the Mini Z 2.0 Clinician Worklife Survey.
Methods
The study was conducted with 221 physicians. The construct validity was determined using confirmatory factor analysis. Test–retest reliability and internal consistency were assessed using Spearman’s correlation coefficient and Cronbach’s alpha, respectively. The scale’s concurrent validity was determined using Spearman’s correlation coefficient.
Results
The confirmatory factor analysis showed that the scale has two factors. The Spearman’s correlation coefficient results varied between 0.753 and 0.858. Cronbach’s alpha values of the scale and subscales were found to be between 0.881 and 0.942 in the internal consistency analysis. Floor/ceiling effects were considered not to be present.
Conclusions
The Turkish version of the Mini Z 2.0 Clinician Worklife Survey has found to be valid and reliable.
Clinical Significance of T2-weighted Sequence Intensity on Magnetic Resonance Imaging in Non-functioning Pituitary Neuroendocrine Tumors (Nf-pitnets)
Authors: Iglesias Pedro 
Published: April 2023

Abstract
Background. Little is known about the relationship between signal intensity patterns on T2-weighted magnetic resonance imaging (MRI) in non-functioning pituitary neuroendocrine tumors (NF-PitNETs).
Aims. To evaluate the clinical, hormonal, histological features, and therapeutic responses according to the T2 signal intensity in NF-PitNETs.
Patients and Methods. A retrospective and multicenter study was performed. NF-PitNETs were classified according to the T2-weighted MRI into hypointense, isointense and hyperintense adenomas.
Results. A group of 166 NF-pitNET patients (93 men, 56%, mean age 58.5 ± 14.8 yr) was studied. Approximately half of the tumors (n=84, 50.6%) were hyperintense, while 34.3% (n=57) and 15.1% (n=25) were iso- and hypointense, respectively. The maximum tumor diameter of the isointense group [16 (13-25) mm] was significantly lower than that of hyperintense [23 (16.6-29.7) mm] group (p=0.003), without significant differences between iso- and hypointensive groups. Similarly, tumor volume of the isointense group [16 (13-25) mm] was significantly lower than that of hyperintense [23 (16.6-29.7) mm] group (p=0.002), without significant differences between iso- and hypointensive groups. Chiasmatic compression was less common in isointense (38.6%) tumors compared to hypointense (68%) and hyperintense (65.5%) tumors (p=0.003). Invasive adenomas (p=0.001) and the degree of cavernous sinus invasion (p<0.001) was more frequent in the hyperintense adenoma group compared to the remaining groups. 116 (69.9%) patients underwent surgery, 32 (19.3%) were followed by active surveillance and 18 (10.8%) were treated with cabergoline as first-line therapy. The percentage of patients with isointense tumors who underwent surgery was significantly lower than that of patients with non-isointense adenomas (59.6% vs 75.2%, p=0.038). Plurihormonal tumors and silent lactotroph adenomas were more frequent in the isointense tumor group, whereas silent corticotropinomas and silent somatotropinomas were more common in the non-isointense tumor group (p=0.02). No significant differences in the type of surgical response between the groups analyzed were found.
Conclusion. Hyperintensity on T2-weighted MRI in NF-PitNETs is associated with larger and more invasive tumors compared to isointense adenomas. Non-isointense adenomas (hypo- and hyperintense) were more likely to undergo surgery compared to isointense adenomas. However, the degree of intensity on T2-weighted sequences of the adenoma does not seem to influence the type of therapeutic response in these tumors.
Data Management In The Digital Health Environment Scale Development Study
Authors: DEMİRCİ Hasan Fehmi , YARDAN Elif DİKMETAŞ 
Published: April 2023

Abstract
Purpose: This study aims to develop a scale that will measure individuals' perceptions of privacy, security, use, sharing, benefit and satisfaction in the digital health environment. Method: The research was carried out with 812 participants in the community. Expert opinion was obtained in the evaluation of the question items and a pilot study was conducted. Socio-demographic information form, a scale developed by the researcher, Norman and Skinner's e-Health Literacy Scale, Mobile Health and Personal Health Record Management Scale were used as data collection tools. Results: The variance explained by the scale is 60.43% in total. As a result of confirmatory factor analysis, it was determined that the 20-item 5-factor structure had good fit values. According to the analysis of criterion validity, there is a significant positive correlation between Data Management Scale in Digital Health Environment and Norman and Skinner's e-Health Literacy Scale and Mobile Health and Personal Health Record Management Scale (p<0.01; r=.669, .378). The Cronbach's alpha value of the scale is .856 and the test-retest reliability coefficient is .909. Conclusion: The Data Management Scale in the Digital Health Environment is a valid and reliable measurement tool that will measure the individuals' perception of privacy, security, use, sharing, benefit and satisfaction in the digital health environment.
Energy and Instability of Ion-Acoustic Solitary Waves in Inhomogeneous Magnetized Plasmas
Authors: El-Monier S. Y. , Karmakar P. K. , Atteya A. 
Published: April 2023

Abstract
Theoretical research has been done on inhomogeneous multi-component magnetized plasmas that contain inertial ions, nonthermal electrons, and Boltzmannian positrons. Variable coefficients Za-kharov Kuznetsov (VZK) equation have been derived. The solitary wave structures are dependent on the inhomogeneity effects of ion density ni0 (x), velocity, ui0, the density gradient scale length specifically associated with the ions, αi, and the scale length of the density through x/L. The soliton’s electric field and energy are also derived and investigated, which were found to be enhanced as ni0 and ui0 increase. The instability growth rate is also derived by using the small-k perturbation expansion method. It decreases as ni0 and ui0 increase. Also, the instability is affected by αi , x/L, electron, and positron temperatures. A comparison of the energy and instability growth rate behavior against system parameters is carried out. Large energy and small instability growth rate occur at large values of ion density and velocity or large electron temperatures. Our research may be used to better understand the dynamics of e-p-i plasma in high-intensity laser-solid matter interactions, semiconductor plasma, magnetic white dwarfs, and magnetar corona.
Treatment of Landfill Leachate RO Concentrates by Advanced Oxidation-Heterotrophic Nitrification Aerobic Denitrification Combination process
Authors: Zhang Qian , Tan Senwen , Zhang Zhengyi , Yuan Chunbo , Lou Ziyang , Liu Wei 
Published: April 2023

Abstract

This study aimed to develop a multistage treatment system for highly toxic wastewater named reverse osmosis concentrates (ROC) of landfill leachate (LL). Therefore, a combination of the ammonia stripping process (ASP), catalytic ozone oxidation process (COP) and Heterotrophic Nitrification Aerobic Denitrification process (HNADP) was proposed and the quality of effluent was evaluated for the concentration of Chemical Oxygen Demand (COD), ammonia nitrogen (NH4+-N) and total nitrogen (TN). ASP had moderate removal efficiency of NH4+-N, and TN in the effluent. COP was catalyzed by cerium supported activated carbon (Ce-AC) achieved good performance in disposal of COD. The effluent of HNADP had the most significant removal efficiency of COD, NH4+-N, and TN. As a result, the effluent of combined process successfully met the discharge standards for NH4+-N and TN according to Table 2 of GB 16889-2008 in China. To investigate the microbial mechanism of pollutant removal in HNADP, 16S rRNA high-throughput sequencing was performed and the results suggested that the relative abundance and diversity of microorganisms fluctuated with the changes of COD/TN ratio(C/N) in HNADP. Truepera and Halomonas were identified as the key genera involved in the simultaneous degradation of COD and nitrogen-containing pollutants, the functional genes (hao, amoA, nirS and nirK) were predicted in nitrification and denitrification process. Overall, this study demonstrates a feasible multistage system for treatment of ROC and propose that further explorations of combined techniques may lead to even more satisfactory removal efficiencies.
In situ structure of actin remodeling during glucose-stimulated insulin secretion using cryo-electron tomography
Authors: Li Weimin , Li Angdi , Yu Bing , Zhang Xiaoxiao , Liu Xiaoyan , White Kate , Stevens Raymond , Baumeister Wolfgang , Sali Andrej , Jasnin Marion , Sun Liping 
Published: April 2023

Abstract
Actin mediates insulin secretion from the pancreatic β-cell through a remodeling process. Previous studies have been hampered by limited resolution, providing an ambiguous depiction of actin remodeling as a process that begins with depolymerization into actin monomers, followed by repolymerization into actin filaments. Here, we report the in situ structure of actin remodeling in INS-1E β-cells during glucose-stimulated insulin secretion at nanoscale resolution. We demonstrate that actin remodeling occurs at the cell periphery rather than in the cell interior. The actin filament network at the cell periphery exhibits three marked differences after remodeling compared to those under basal conditions. First, approximately 12% of actin filaments reorient, their angle changing from 0-45° to 45-90° relative to the plasma membrane. Second, the actin filament network remains predominantly as cell-stabilizing bundles but partially reconfigures into a less compact arrangement. Third, actin filaments anchored to the plasma membrane reorganize from a "netlike" to a "blooming" architecture, featuring radial projections emanating from their anchor points. Remodeling precedes the transport of insulin secretory granulesto the plasma membrane and their release from it. Furthermore, the density of actin filaments and microtubules around insulin secretory granules is lowered after remodeling compared to the basal conditions, as expected for the subsequent granule transport and release. Finally, actin filaments and microtubules are more densely packed than under basal conditions. These findings advance our structural and functional understanding of actin remodeling during glucose-stimulated insulin secretion in pancreatic β-cells.
Green Building Energy Efficiency and Landscape Design based on Remote Sensing Technology
Authors: Yu Zhaojiang 
Published: April 2023

Abstract
The rapid development of urban economy has brought a large amount of energy consumption, so at present, we should not only promote the rapid development of urban economy, but also pay attention to the sustainable development of economy and the application of green energy. In the urban energy consumption, building energy occupies an important position, so the construction industry energy saving and emission reduction is imminent. According to statistics, in the energy consumption of buildings, green building energy consumption accounts for about 30%, so energy management research on green buildings has become increasingly important. This article will discuss the energy efficiency assessment and energy consumption prediction methods of green buildings based on remote sensing technology, and use BIM technology to form a framework for the green building energy management system. The advantages of BIM technology can be perfectly demonstrated in energy management tasks, improve the efficiency of green building energy management, and provide reliable theoretical support, methodological suggestions and empirical references. Green landscape design is combined with green building. Landscape design can not only create a good building environment, but also combine with site green technology to reduce energy consumption. Without a strict and scientific landscape design plan, landscape design and construction will have no basis. Through the study of green building energy and viewing technology, this article allows people to better understand the energy consumption of Chinese buildings and the progress of viewing technology, and provides a theory for people to change building energy consumption and improve viewing technology.