bluuebunny/crossref_metadata_2025_split huggingface dataset:
A flexible, 4-channel head array for 0.2T readout FCI (Field-Cycling Imaging).
Authors: Stormont Robert , Ross James , Davies Gareth , Mallikourti Vasiliki , Alamri Amnah , Broche Lionel , Lurie David 
Published: August 2023

A 4-Channel Head Coil RX Array has been created supporting Field-Cycling Imaging studies at an 8.5 MHz readout frequency. Head imaging to date, has been accomplished with a quadrature TX/RX birdcage coil. The array goals include improved SNR, enhanced patient comfort, peripheral compatibility, with fast application to various sized heads. Evaluation with healthy volunteers is now underway. The array appears well tolerated by individuals when compared to the 8-rung birdcage, accommodating a communication headset, and leaving the face quite open. SNR is comparable to the birdcage at the image center and improved as you move towards the array elements.
Brainstem 7T 1H-MRS: comparison between single-channel (1Tx32Rx) and parallel transmit (8Tx32Rx) coils
Authors: Graf Carina , Ding Belinda , Rua Catarina , Rodgers Christopher 
Published: August 2023

7T MRS offers increased SNR and peak separation. Many Siemens 7T sites have both 1Tx32Rx and 8Tx32Rx head coils. Workflow is similar when using the TrueForm/CP+ mode. We compared MP2RAGE and semiLASER 1H-MRS in brainstem in healthy volunteers to identify a preferred coil for future studies. Results: voxelplacement, linewidth, and concentrations were not significantly different. SNRNAA increased 27% and CRLBs for Gln, GABA &amp; GSH trended to be lower for the 8Tx coil. This encourages regular use of the 8Tx32Rx coil for brainstem 1H-MRS and facilitates method development by allowing full pTx sequences to be added on to scheduled examinations.
Measurement of End-to-End latency in real-time MRI
Authors: Schaten Philip , Azhar Mueed , Adler Ansgar , Steinmetz Michael , Uecker Martin 
Published: August 2023

For interventional MRI-guided applications image reconstruction should be without delay to avoid unwanted failure. Since latency is unavoidable it is very important to know it beforehand. For this reason, we present a new method to measure the latency of real-time MRI systems.
The main components are two inexpensive optical cameras. No modification of the scanner system is required. Different validations show that our method works reliably. Results from our RT MRI system provide insight into the latency of different protocols. We believe that we have found an inexpensive, easy, and robust way of determining RT MRI latency.
Laminar and columnar functional organization of human area MT using VASO at 7T
Authors: Pizzuti Alessandra , Huber Renzo , Gulban Omer , Benitez-Andonegui Amaia , Peters Judith , Goebel Rainer 
Published: August 2023

We investigate the feasibility of using CBV-sensitive VASO fMRI at ultra-high field to study the selective columnar organization to axes of motion stimuli in human area MT. For 5 subjects we found: BOLD and VASO both reveal characteristic tuning curves for axes of motion. VASO is more specific and less sensitive than BOLD. VASO layer profiles are less distorted by superficial veins than BOLD. Columnar analysis is feasible using VASO.
Amide proton transfer imaging for differentiation of glioblastoma from brain metastasis
Authors: Kaewumporn Utarat , Wongsawaeng Doonyaporn , Piyapittayanan Siriwan , Ngamsombat Chanon , Chaysiri Panid , Kittikornchaichan Janiya , Ningunha Kritdipha , Tisavipat Nanthasak , Itthimathin Titima , Rayaroji Ketkanok , Chawalparit Orasa 
Published: August 2023

Until now, the differentiation between glioblastoma and brain metastasis still has some limitations and inconclusive findings.
This study aimed to use amide proton transfer (APT)-weighted imaging to differentiate glioblastoma from brain metastasis.
We found that by quantitative assessment, the APTw value in enhancing solid portion and peritumoral high FLAIR area of glioblastomas were significantly greater than that of brain metastases. The APTw color map also showed higher signal at the peritumoral high FLAIR area in glioblastomas than metastasis by visual assessment.
Characterising hypoxia in rhabdomyosarcoma xenografts with oxygen-enhanced MRI
Authors: Boult Jessica , Roy Upasana , Bernauer Carolina , Box Carol , Howell Louise , Lepicard Elise , Jamin Yann , O'Connor James , Shipley Janet , Robinson Simon 
Published: August 2023

Hypoxic gene signatures are prevalent in paediatric rhabdomyosarcomas and are important in conferring resistance to standard treatments. Oxygen-enhanced MRI (OE-MRI) and histological assessment of pimonidazole adduct formation show that xenografts derived from three human rhabdomyosarcoma cell lines exhibit high levels of hypoxia with differences in vascular perfusion evident between the models. There is much interest in hypoxia-alleviating strategies to reduce tumour hypoxia for therapeutic gain, and these will be assessed in rhabdomyosarcoma models in vivo using OE-MRI. A reduction in hypoxia in response to atovaquone in spheroids derived from the same rhabdomyosarcoma cell lines in vitro has been confirmed.
Development of a scan-specific quality control acquisition for clinical whole-body MRI (WB-MRI) protocols
Authors: Keaveney Sam , Hopkinson Georgina , Scurr Erica , Olaru Maria-Alexandra , Collins David , Messiou Christina , Koh Dow-Mu , Winfield Jessica 
Published: August 2023

A short quality control acquisition was developed to detect hardware issues and receiver coil positioning errors in whole-body MRI (WB-MRI). Individual coil element images were reconstructed to investigate potential broken elements and coil positioning was assessed by comparison with images acquired using the integral body coil. This approach was implemented in a group of healthy volunteers and patients with myeloma and successfully identified a previously undetected broken coil element. The expected signal difference between coil array and integral body coil images was defined and deviation from this expected profile was used to distinguish images acquired with deliberately imperfect coil set-ups.
The CALIPR framework comprehensively improves acquisition, reconstruction & analysis of multi-component relaxation imaging
Authors: Dvorak Adam , Kumar Dushyant , Gilbert Guillaume , Laule Cornelia , Moore G.R. Wayne , MacKay Alex , Kolind Shannon 
Published: August 2023

We introduce the CALIPR framework, applied here to multi-component T2 relaxation myelin water imaging (MWI) to achieve a simultaneous increase in data quality and decrease in acquisition time. CALIPR showed robust results for data acquired with aggressive under sampling acceleration, strong agreement with a newly developed &ldquo;gold-standard&rdquo; reference MWI acquisition, excellent scan-rescan repeatability, and the ability to acquire whole-brain MWI in under 5 minutes.While this work demonstrates dramatic improvements the CALIPR framework brings to MWI, its utility can be extended to a wide range of both quantitative and qualitative MRI applications across different scanner vendors and field strengths.
Establishing causal relationship between resting-state network and behavior
Authors: Li Zengmin , Athwal Dilsher , Chuang Kai-Hsiang 
Published: August 2023

Collective influence (CI) analysis provided optimal ranking list of nodes which fastest reduced the giant component of the resting-state networks (RSNs). Post-learning inhibition of brain regions which were top CI nodes caused retrograde amnesia in the probe test eight days after spatial learning task. Data-driven approaches were used to explore the role of RSNs in memory consolidation.
MR-based Liver Iron Quantification using Gradient Echo: Co-Factors influencing the Calibration of R2* with Reference Liver Iron Content Values
Authors: Wunderlich Arthur , Cario Holger , Kannengießer Stephan , Hering Lena , Götz Michael , Beer Meinrad , Schmidt Stefan 
Published: August 2023

Purpose: To analyze the Liver-Iron-Content-(LIC)-R2*-calibration with respect to co-factors. Methods: 116 patients were scanned with spin-echo (Ferriscan&reg; protocol) and gradient-echo sequences. R2* was correlated to LIC reference values for all patients together and in subgroups divided by e.g. age, gender and underlying diseases. Linear correlations were analyzed with R2* only and including MR-PDFF as suspected co-factor. Results: Deviating slopes of regression lines were found e.g. in patients after splenectomy vs. patients with spleen, influence of MR-PDFF amongst others in females below 17 years. Conclusion: Co-factors like disease patterns should be considered in gradient echo based LIC quantification.
3D multi-echo GRE MRI of the whole liver: First experiences of a volumetric segment-by-segment R2* analysis
Authors: Wunderlich Arthur , Cario Holger , Kannengießer Stephan , Grunau Veronika , Götz Michael , Beer Meinrad , Schmidt Stefan 
Published: August 2023

Purpose: To test liver segmentation of 3D-multi-gradient-echo MRI data and segmental R2* evaluation. Methods: 44 patients examined by multi-gradient-echo MRI underwent semiautomatic liver segmentation and subdivision into nine segments. Segmental R2* values were analyzed in all patients together and in patient subgroups. Results: R2* was lowest in segment 1 (S1), differences to S1 were significant for S3, S5 and S6, highly significant to S2 and S7. Patients with high average R2* showed also significant differences to S1 in some segments. Conclusions: Inhomogeneity of hepatic iron distribution was found. Low R2* in S1 may be explained by its special vascular supply.
Physics informed neural networks for phase-based magnetic resonance electrical properties tomography
Authors: Garcia Adan , Huang Shao Ying , Imamoglu Nevrez , Yu Wenwei 
Published: August 2023

Magnetic Resonance Electrical Property Tomography (MREPT) could provide important contrast for non-calcified tumors. However, MREPT relies on numerical differentiation, which is noise sensitive and prone to artifacts near boundaries. In this work, physics-informed neural networks (PINN), NN empowered automatic differentiation is proposed to improve MREPT by mitigating artifacts and reducing noise sensitivity. Instead of calculating partial derivatives numerically, is obtained by backpropagation through PINNs. For clinical MREPT, reduction of ground-truth information to guide PINNs was investigated. Results show that above 25% collocation points, reconstruction can be made at 100 SNR. PINNs enable noise-robust and artifact-free MREPT from less ground-truth information.
Data driven whole-brain cardiac signal regression from highly accelerated fMRI acquisitions
Authors: Marino Marco , Colenbier Nigel , Filippini Nicola , Pellegrino Giovanni , Marinazzo Daniele , Ferrazzi Giulio 
Published: August 2023

Cardiac pulsation is a physiological confound of fMRI analysis pipelines and so accurate mapping of cardiac contributions to the BOLD signal is highly warranted. To overcome cardiac aliasing associated with the limited temporal resolution in fMRI, we developed a data-driven methodology to spatially and temporally resolve cardiac contributions from the BOLD signal itself (i.e without the need of processing external physiological recordings such as PPU/ECG signals). This is achieved by combining simultaneous multi-slice imaging and a dedicated hyper-sampling decomposition scheme. The proposed methodology is fully data driven and it does not make specific assumptions on the shape of cardiac pulsation.
Caring for Patients with Type II Diabetes Mellitus: A Nursing Case Report
Authors: Era D.P. 
Published: August 2023

Diabetes Mellitus (DM) is a disease characterized by an insufficient amount of insulin that does not function normally. According to data of Basic Health Research of Indonesia Government year 2018, the global prevalence of DM among those aged 55 to 64 years reached 6.3% of 265 individuals, the highest value among all other age groups. To present a case study with TTDM in Samarinda, Indonesia and to determine the nursing care plan, explaining the nursing interventions and showing the importance of nursing care of patients with DM. we treated 2 patients who had TTDM using a standardized nursing process for 3 days and made observations and recorded the similarities and differences that emerged as a result of disease response and the effects of the treatment provided. Researcher has completed collecting data set which was then used to establish each of the 6 nursing diagnoses, and further each nursing plan details implemented and evaluated. There is a diversity and resemblance of data that was revealed in the discussion session of ther report. Using a thematic analysis approach, patterns in the data were identified and analyzed. The data were then synthesized using Indonesian Nursing Standardized (3S) terminology. The patient's positive health outcomes supported the accuracy of the diagnoses and the appropriateness of the nursing interventions. case study method contributes in understanding the overall nursing care for patients, especially those with TTDM because it opened up nursing scenarios that support nurses in utilized critical thinking skills including in making decisions in the use of the entire nursing process. By carefully implementing chosen interventions through nursing process nurse was able to compare data between cases, to determine the causes of differences and similarities from the data obtained and analyze based on appropriate theories and concepts.
El Hospital de Antequera y la Orden Hospitalaria de San Juan de Dios (1673-1820)
Authors: Berrocal Tomé Francisco Javier 
Published: August 2023

Objetivo principal: realizar un acercamiento a la asistencia sanitaria prestada por la Orden Hospitalaria de San Juan de Dios (OH) en el Hospital de Antequera tras el fracaso de la reunificación hospitalaria del siglo XVII. Metodología: Se han utilizado diversas fuentes documentales principalmente procedentes del Archivo Histórico Municipal de Antequera, así como de libros y literatura científica relacionada con nuestro tema. Resultados principales: El prestigio que los hospitalarios iban adquiriendo en Andalucía propició que las autoridades municipales dejasen en sus manos la dirección del hospital que estaría a su cargo desde 1673 hasta el procedimiento de exclaustración de inicios del siglo XIX. Se describen las reglas de los hospitalarios que abarcaban aspectos tanto religiosos como sobre atención hospitalaria, recogida esta última en diversos libros de registro. Conclusión principal: La OH se presentó en un principio como la solución para el buen funcionamiento del hospital antequerano. Sin embargo, su gestión siempre fue muy criticada desde ciertos sectores. En su expulsión, a principios del siglo XIX, influyeron las tensiones y conflictos con los que se inició el siglo XIX.
Implementation of Digital Marketing in Increasing Room Occupancy Rate at Hilton Bali Resort Hotel
Authors: Kusuma Krisnha Dwi , Armoni Ni Luh Eka , Astawa I Ketut , Virginiya Putu Tika , Chaerunnisah Indah Utami 
Published: August 2023

Purpose: This study aims to analyze the application of digital marketing dimensions and the influence of digital marketing on room occupancy rates at the Hilton Bali Re-sort hotel in the Nusa Dua tourism area, Bali, Indonesia.
Research methods: The data are obtained from interviews, documentation, litera-ture studies, and distributed questionnaires to 60 respondents. The question-naires data is then processed using the Structural Equation Modeling-Partial Least Square technique (SEM-PLS) by using SmartPLS that presented in the table.
Findings: The implementation of each digital marketing dimension by the Hilton Bali Resort management, and the impact of digital marketing in increasing the room occupancy rate at the Hilton Bali Resort.
Implication: The hotel management needs to create better quality content and promotional methods through online media so that online media customers know and are interested in products from Hilton Bali Resort.
Stakeholder Involvement in Implementing CHSE-Based Health Protocol in Penglipuran Tourism Village
Authors: Sari Putu Yunita Wacana , Sari Komang Again Pretty Teja , Astuti Ni Wayan Wahyu 
Published: August 2023

Purpose: This study aims to identify the implementation and analyze the extent of stakeholder involvement in the implementation of the CHSE-based health protocol in Penglipuran Tourism Village, Bangli Regency, Bali, Indonesia.
Research methods: Data collection methods were in-depth interviews, observation, and documentation. The technique for determining informants used a purposive sampling technique with qualitative data analysis techniques.
Findings: CHSE-based health protocol in Penglipuran Tourism Village was implemented based on a guidebook from the government where, the implementation of the CHSE was divided into several zones which were considered crucial because there was direct contact with tourism actors, namely, homestay zones/tourist cottages, home zones dining, souvenir shop zones, and cultural zones that have been implemented properly by tourism entrepreneurs and tourists so that they are CHSE certified. Stakeholders involved in implementing CHSE are divided into three, namely: Primary Stakeholders (Tourism Managers) act as Coordinators and Facilitators, then (Tourism Entrepreneurs and Local Communities) as Implementers; Key Stakeholders (Kelian Adat/ Head of the area) act as Policy Creator, Coordinator and Accelerator; Secondary Stakeholders (Tourism and Culture Office) play a passive role as Facilitators.
Implication: This research is expected to be a consideration for tourism entrepreneurs to work together with the government and the community to participate in implementing CHSE-based health protocols, as well as provide information regarding the involvement of tourism entrepreneurs who are able to have a positive influence on the progress of Penglipuran Tourism Village in carrying out tourism activities in pandemic period.
Positive solutions to a Dirichlet problem with non-Lipschitz nonlinearities
Authors: Anello Giovanni 
Published: August 2023

Let \(Omega\) be a bounded smooth domain in \(R^N\). We study the existence of positive solutions to the Dirichlet problem $$\displaylines{ -\Delta u=(1-u)u^{s-1}-\lambda u^{r-1}, \quad\text{in } \Omega,\cr u=0, \quad \text{on } \partial\Omega,}$$ where \(1<;r<\leq 2\), and \(\lambda>0\). In particular, we answer some questions posed in the recent paper [3] where this problem was considered.
For more information see https://ejde.math.txstate.edu/Volumes/2021/30/abstr.html
Improvement Airport Security System with Face Recognition Using Neural Network Based on the Arduino Uno Microcontroller
Authors: Sarah W. Abdulmajeed  , Arwa A. Moosa  
Published: August 2023

The aim of this study is to implement an algorithm for face recognition, based on the Arduino uno microcontroller. This paper presents it as an airport security system to detect passenger’s face and compare the result with the database of unwanted people. The system combines laser trigger circuit for image capturing and artificial neural network for image recognition. The laser trigger circuit has many benefits such as avoiding camera shakes or taking a picture without a timer. The captured image will be analyzed and processed in MATLAB using an artificial neural network to recognize the passenger’s face from the real captured images after the training phase. Many experiments have been conducted on our face databases with various numbers of iterations. The recognitions’ accuracy and efficiency of the proposed model are 93.33% and 2.67 respectively with 0.696530 seconds as execution time. The result shows the robustness of the developed model in terms of mean squared error, execution time, recognitions’ efficiency and accuracy. The smallest obtained mean squared error is 9.9991e-04 for the training data set and 0.1764 for the testing data set when they are recorded for a modified neural network which makes the developed system more reliable. Finally, the artificial neural network demonstrates the ability to detect the unseen relationship between features belong to the same face.
Void space and cavity measurement of the prepared zeolite y using X-ray diffracting modelling
Authors: Maha Allawi Abdulwahhab  , Hamzah Abdelameer Lafta  , Zainab Diah Mohammed  
Published: August 2023

Zeolite was synthesized using a solitary gel technique with Iraqi kaoline. Zeolite 's specific structural nature makes it difficult to use X-ray diffraction (XRD) to evaluate a single crystalline characteristic. Structural analysis to estimation and visualization of one crystal geometric properties by CrystalMaker software was carried out using XRD and the simulation of a crystal pattern using a Rietveld refinement technique using Maud software. This paper describes the Crystal Maker software suite, which includes the visualization, modelling and diffraction simulation of modular programs for crystal and molecular structures. The fundamental reasoning for the program is explored and a variety of applications are given for teaching and research in crystal chemistry and molecular dynamics.
Creating Sustainable High-Performance Human Resource Practice through Employees Learning Agility. The Transition Adaptive Approach
Authors: Kumar Shalendra , Narayan Suman , Sharma Keshmi , Kaur Rajini , Sen Rajit 
Published: August 2023

Recently, the Covid 19 posed enormous challenges compelling organizations to adapt to unforeseen events as a result of direct immediate threats thereby pushing human resource practitioners to reshape their existing human resources practice. To the researchers’ knowledge, no study has so far investigated the relationship between employee learning agility (ELA) and high-performance human resources practice (HPHRP) particularly, the mediating effect of person-organization fit (P-O fit) to reshape the human resource practice through transition adaptive theory. A self-completed survey from public sector employees in the Fiji Islands yielded a sample of data with 351 participants. The proposed model was analyzed through structural equation modeling (SEM), showing a model fit for the research. The findings show that ELA significantly enhances HPHRP. This suggests that learning opportunity provides an opportunity to adopt, modify and recombine the current knowledge with new knowledge in creating new knowledge stock. The diffusion of such knowledge can assist significantly in improving human resource practice. Moreover, the mediating effect of P-O fit shows the congruence between ELA and organization, further suggesting that employees perform best in an environment that supports their salient needs and recognizes their knowledge, abilities, and skills in reshaping human resources practice. As such, this becomes our significant contribution to the extant literature on human resource management. Finally, the current research offers theoretical and practical implications, limitations, and further research directions.