bluuebunny/crossref_metadata_2025_split huggingface dataset:
Emergency Response Time and Its Determinants in the Quick Response Team in Surabaya, Indonesia
Authors: Fahmy Dhio Wardhana Fahmy Dhio Wardhana 
Published: October 2023

Introduction: The response time in handling prehospital emergencies has not been fully optimal so that people still complain about it. Appropriate response time will reduce mortality and morbidity rates so that patient satisfaction can be met. The aim of this study was to describe the emergency response time and its determinants in the Quick Response Team (it is called “Tim Gerak Cepat”) Surabaya.
Methods: This research was a descriptive research design with a cross sectional approach. The population of the study were all nurses in Tim Gerak Cepat (TGC) at the Integrated Command Post Surabaya totaling 126 nurses and a sample of 96 respondents were taken by purposive sampling. The variables were abilities, skills, education, emergency training, length of service, and motivation of nurses as well as the response time in handling emergencies. Collecting data using a questionnaire and presented in descriptive analytics.
Results: The research results showed that the majority of respondents had high abilities (90.6%) and skills (93.8%). The majority of respondents had achieved a third diploma (D3) in nursing (82.3%) and had undergone basic emergency training (88.5%). Furthermore, more than half of the respondents had worked for more than 3 years (68.7%) and showed moderate motivation (51%). In general, the majority of respondents had a response time of ≤ 8 minutes (79.2%).
Conclusion: Nurses at TGC Surabaya actually have a good response time. This is supported by high capacity and skills in emergency situations, as well as educational background, including emergency training. But nurses still need to increase self-motivation. Further research can explore further what are the priority determining factors for emergency response time, especially in Surabaya as the 2nd largest city in Indonesia, in order to assist the government in making the best setting and organization at TGC Surabaya.
Using delta channel width to estimate paleodischarge in the rock record: geometric scaling and practical sampling criteria
Authors: Prasojo Octria Adi , van Yperen Anna E. , Hoey Trevor B. , Owen Amanda , Williams Richard 
Published: October 2023

Abstract
Quantifying paleodischarge from geological field observations remains a key research challenge. Several scaling relationships between paleodischarge and channel morphology (width, depth) have been developed for rivers and river deltas. Previous paleodischarge scaling relationships were based on discharge–catchment-area scaling and an empirical flow-velocity estimate (e.g., the Chézy equation, the Manning equation) multiplied by channel cross-sectional area to derive discharge. In deltas, where marine (wave, tide) energy causes bidirectional flow in distributary-channels, the available paleodischarge scaling relationships are not applicable due to their unidirectional-flow assumption. Here, the spatial variability of distributary-channel widths from a database of 114 global modern river deltas is assessed to understand the limit of marine influence on distributary-channel widths. Using measured 6,213 distributary-channel widths, the median channel widths of distributary-channels for each delta were correlated with bankfull discharge for river-, tide- and wave-dominated deltas, the latter two including the effect of bidirectional flow. Statistically significant width–discharge scaling relationships are derived for river- and wave-dominated deltas, with no significant relationships identified for tide-dominated deltas. By reverse bootstrapping the channel widths measured from modern deltas, the minimum number of width measurements needed to apply width–discharge scaling relationships to ancient deltaic deposits is estimated as 3 and 4 for the upstream parts of river- and wave-dominated deltas, respectively, increasing to 30 in the downstream parts of river-dominated deltas. These estimates will guide sedimentological studies that often have limited numbers of distributary-channel widths exposed in the rock record. To test the reliability of these alternative width–discharge scaling relationships in the rock record, paleodischarges were estimated for the well-studied Cretaceous lower Mesa Rica Sandstone Formation, USA. Comparison of these results with the more complex Chézy-derived method suggests that these new scaling relationships are accurate. Hence, it is proposed that the scaling relationships obtained from modern deltas can be applied to the rock record, requiring fewer, and easier-to-measure, data inputs than previously published methods.
Joint Inversion of Gravity and Magnetic Anomalies to Image Salt–Basement Structures Offshore Abu Dhabi, UAE, Using Deep Neural Networks
Authors: Ashena Zahra , Kabirzadeh Hojjat , Kim Jeong Woo , Wang Xin , Ali Mohammed Y. 
Published: October 2023

Summary
By using a deep neural network (DNN), a novel technique is developed for a 2.5D joint inversion of gravity and magnetic anomalies to model subsurface salts and basement structures. The joint application of gravity and magnetic anomalies addresses the inherent nonuniqueness problem of geophysical inversions. Moreover, DNN is used to conduct the nonlinear inverse mapping of gravity and magnetic anomalies to depth-to-salt and depth-to-basement. To create the training data set, a three-layer forward model of the subsurface is designed indicating sediments, salts, and the basement. The length and height of the model are determined based on the dimensions of the target area to be investigated. Several random parameters are set to create different representations of the forward model by altering the depth and shape of the layers. Given the topography of the salts and basement layers as well as their predefined density and susceptibility values, the gravity and magnetic anomalies of the forward models are calculated. Using multiprocessing algorithms, thousands of training examples are simulated comprising gravity and magnetic anomalies as input features and depth-to-salt and depth-to-basement as labels. The application of the proposed technique is evaluated to interpret the salt–basement structures over hydrocarbon reservoirs in offshore United Arab Emirates (UAE). Correspondingly, a DNN model is trained using the simulated data set of the target region and is assessed by making predictions on the random actual and noise-added synthetic data. Finally, gravity-magnetic anomalies are fed into the DNN inverse model to estimate the salts and basement structures over three profiles. The results proved the capability of our technique in modeling the subsurface structures.
Research on a Calculation Model of Cable Tension and Pumping Displacement of a Logging Tool String of Horizontal-Well Drillpipes
Authors: Mingjian Yuan , Liu Jun , Du Zhigang , Zhou Zhengzhi , Tang Kai 
Published: October 2023

Summary
With the vigorous development of unconventional oil and gas reservoirs, logging technology of horizontal-well drillpipes has become increasingly important. The improper selection of displacement during the pumping of drilling rods into horizontal wells can lead to accidents such as cable entanglement or tool-string pump detachment. Based on a comprehensive consideration of multiple factors such as drillpipe joints, small gap flow, pressure loss along the pipe, temperature, pressure, tool-string passability, and waterhole diameter variation, a cable tension analysis model for a logging tool string of a horizontal-well drillpipe is established. This model can predict a reasonable pumping displacement by analyzing the tension in the entire wellbore section, thereby avoiding cable entanglement or even tool-string pump detachment accidents during downhole operation. To verify the effectiveness of the model, we analyzed the cable tension during logging operations in Wells M1 and M2 using on-site test data and compared them with the measured tension data. The determination coefficient (R2), mean absolute error (MAE), and root mean square error (RMSE) were used to evaluate the degree of fit and accuracy of the model. The experimental results showed that the model can accurately predict the pumping displacement range before logging operations, ensuring that the cable does not entangle and the tool string is not pumped out during the downhole operation, thus providing effective methods and theoretical guidance for on-site drilling rod-pumping logging operations.
Leaf spectroscopy measurements of eucalyptus leaves in the field
Authors: Younes Nicolas , Taylor Jackson , Cain Sophia 
Published: October 2023

Abstract
This protocol outlines a simple procedure for the measurement and calculation of reflectance and transmittance radiance of eucalyptus leaves in the field using a handheld spectrometer. This protocol is useful as it allows for rapid measurement of leaf optical properties which provide insights into a range of physical and biochemical traits. The procedure requires specialised equipment to be completed, but the procedure can be followed regardless of the brand of the instrument.
Design of Cellular Automata based Linear Rules in Multilingual Encryption for Performance Optimization in Wireless Network
Authors: BANERJEE AYAN , Kundu Anirban 
Published: October 2023

Abstract
Authors propose multilingual encryption framework to secure data. Proposed encryption framework should be used for network based data security and standalone data security. Cellular automata based state transition mapping is being applied on proposed framework for enhancing data security using minimum time. Multilingual data collected from different geographical locations, is required to measure the performance of proposed framework. Several encryption schemes have been executed for analyzing the superiority of multilingual encryption using encryption time, and code break complexity. Cellular Automata (CA) based approach is required in multilingual encryption framework to measure linear time complexity. Large dataset is required for computing encryption speed, encryption cycle, and processor time based on a particular hardware. Different keysets, key languages, and key lengths are required in proposed multilingual encryption framework to prepare an authenticated multilingual dataset for encryption in wireless network. Different sizes of encryption keys are required to perform state transition mapping in proposed framework for encrypting multilingual data. External attack analysis between existing encryption systems and multilingual encryption framework is established based on different key length. Comparative analysis between existing encryption systems and proposed CA based encryption scheme is established based on several characteristics.
Juvenile Idiopathic Recurrent Parotitis (JIRP) treated with short course steroids, a case series study and one decade follow up for potential autoimmune disorder
Authors: Salehzadeh Farhad , Molatefi Rasol , Mardi Ali , Nahanmoghaddam Negin 
Published: October 2023

Abstract

Background:
Juvenile idiopathic recurrent parotitis (JIRP) in children is a condition characterized with recurrent episodes of idiopathic parotid gland inflammation. Since there are no definitive guidelines for diagnosis and management of this condition, we determined to present a consecutive case series of patients with more than one decade follow up and their dramatic response to short course treatment by prednisolone.
Methods:
We conducted this study twenty years ago, however we retrospectively reviewed medical charts of children who were diagnosed with JIRP, from 1 January 2002 to 29 February 2023. We performed usual serological tests to exclude some possible background. We administered short course prednisolone on first day of episode as divided dosage (0.5 mg /kg).
Results:
In this case series 7 patients (70%) were male, median age of onset was 5 years, duration of episodes 5 days, and the course of disease were 3.8 years. The average follow up of patients was near 10 years. In comparison with their natural course of disease all patients showed a dramatic response to treatment on the first day of administration of prednisolone (P Value 0.005).During ten years follow up there was not any additional accompanying autoimmune disorder.
Conclusion:
Short course prednisolone on first day of each episodes and its dramatic and meaningful response in JIRP, introduce effective, fast, somehow safe, and inexpensive regimen of therapy in these patients.
Jaya Invasive Weed Optimization: An Algorithm to Solve Common Fixed Point Problems
Authors: RAMU Y 
Published: October 2023

Abstract

This study makes the first attempt to find a common fixed point of a system of nonlinear mappings, namely common fixed point problems(CFPs), using meta-heuristics. Invasive Weed Optimization(IWO) mimics the colonizing behaviour of weeds in crop fields. In IWO, each weed represents a solution, reproduces new seeds (offspring) based on their knowledge. In other words, there is no information-sharing among weeds in the reproduction process. It may cause premature convergence, trapping by local optima and slow convergence. A recent meta-heuristic Jaya algorithm(JAYA) is a powerful optimizer. It has high exploration and exploitation abilities in the search space due to the usage of random numbers and absolute values of the solutions in the updating process. Because of this affirmative feature, each candidate solution moves towards the best candidate solution and avoid moving towards the worst candidate solution. Therefore the hybridization of IWO and JAYA, in short, JAIWO, has been proposed to balance the exploration and exploitation of the search space while solving CFPs. To demonstrate the performance of the proposed JAIWO, four CFPs, formulated from unconstrained optimization benchmark problems, are taken into account, and the results obtained are compared with the results of the conventional IWO, JAYA and six other well known algorithms. The comparisons revealed that JAIWO outperforms the competitors for all considered problems.
Neuronal activation sequences in lateral prefrontal cortex encode visuospatial working memory during virtual navigation
Authors: Martinez-Trujillo Julio , Busch Alexandra , Roussy Megan , Luna Rogelio , Leavitt Matthew , Mofrad Maryam , Gulli Roberto , Corrigan Benjamin , Minac Jan , Sachs Adam , Palaniyappan Lena , Muller Lyle 
Published: October 2023

Abstract

The brain can maintain and flexibly manipulate complex visuospatial information ‘in mind’, an ability known as working memory. The neural codes underlying this function have been a matter of debate. We simultaneously recorded the activity of hundreds of neurons in the lateral prefrontal cortex of monkeys during a visuospatial working memory task that required navigation in a virtual 3D environment. During task trials, animals perceived the location of a transient visual cue, remembered that location for a few seconds, and finally navigated toward it using a joystick to collect a reward. We found time boundary neurons that transiently activated just before the beginning and end of the memory period. Moreover, distinct neuronal activation sequences encoded specific remembered target locations in the virtual 3D environment, as viewed from the subject’s own visual perspective. This sequence code outperformed persistent firing codes for the remembered location during the virtual reality task, but did not occur during a classical working memory task using stationary stimuli and homogeneous displays. Finally, blocking NMDA receptors using low doses of ketamine selectively deteriorated the sequence code during the working memory task. Our results reveal a novel mechanism, NMDA-dependent neural activation sequences, for encoding visuospatial working memory in complex naturalistic environments. They further reveal the versatility and adaptability of neural codes supporting working memory function in the primate lateral prefrontal cortex.
Iron Chelation Therapy Elicits Innate Immune Control of Metastatic Ovarian Cancer
Authors: Sandoval Tito A. , Chae Chang-Suk , Salvagno Camilla , Awasthi Deepika , Teran-Cabanillas Eli , Sierra Maria A. , Giovanelli Paolo , Falco Matias Marin , Suominen Lasse , Yamazaki Takahiro , Kuo Hui-Hsuan , Moyer Jenna , Martin M. Laura , Manohar Jyothi , Kim Kihwan , Ramos Yusibeska , Tan Chen , Emmanuelli Alexander , Song Minkyung , Morales Diana K. , Zamarin Dmitriy , Frey Melissa , Cantillo Evelyn , Chapman-Davis Eloise , Holcomb Kevin , Mason Christopher E. , Galuzzi Lorenzo , Vähärautio Anna , Cloonan Suzanne M. , Cubillos-Ruiz Juan R. 
Published: October 2023

Abstract

Iron accumulation in cancer cells contributes to malignant progression and chemoresistance. While disrupting this process can influence various hallmarks of cancer, the immunomodulatory effects of chelating iron in tumors remain undefined. Here, we report that treatment with deferiprone, an FDA-approved iron chelator, elicits innate immune responses that control metastatic ovarian cancer. Deferiprone reprogrammed ovarian cancer cells towards an immunostimulatory state characterized by enhanced production of type I interferon (IFN) and surface overexpression of molecules that activate natural killer (NK) cells. Mechanistically, this reprogramming was driven by innate sensing of mitochondrial DNA in the cytosol and concomitant activation of nuclear DNA damage responses evoked upon iron chelation. Deferiprone administration synergized with chemotherapy and prolonged the survival of mice bearing metastatic ovarian cancer by bolstering intratumoral NK cell infiltration and type I IFN responses. Iron chelation may represent an alternative immunotherapeutic approach for malignancies that are normally refractory to T cell-centric modalities.
Alcohol consumption as a socially contagious phenomenon in the Framingham Heart Study social network
Authors: Ende Maarten Willem Jan van den , Maas Han L. J. van der , Epskamp Sacha , Lees Mike H. 
Published: October 2023

Abstract
We use longitudinal social network data from the Framingham Heart Study to examine the extent to which alcohol consumption is influenced by the network structure. We assess the spread of alcohol use in a three-state SIS-type model, classifying individuals as abstainers, moderate drinkers, and heavy drinkers. We find that the use of three-states improves on the more canonical two-state classification, as the data show that all three states are highly stable and have different social dynamics. We show that when modelling the spread of alcohol use, it is important to model the topology of social interactions by incorporating the network structure. The population is not homogeneously mixed, and clustering is high with abstainers and heavy drinkers. We find that both abstainers and heavy drinkers have a strong influence on their social environment; for every heavy drinker and abstainer connection, the probability of a moderate drinker adopting their drinking behaviour increases by 40 and 18 percent, respectively. We also find that abstinent connections have a significant positive effect on heavy drinkers quitting drinking. Using simulations, we find that while both are effective, increasing the influence of abstainers appears to be the more effective intervention compared to reducing the influence of heavy drinkers.
Néel tensor torque at the ferromagnet/antiferromagnet interface
Authors: Lai Chih-Huang , Yang Chao-Yao , Chen Sheng-Huai , Tseng Chih-Hsiang , Kuo Chang-Yang , Lin Hsiu-Hau 
Published: October 2023

Abstract
Antiferromagnets (AFMs) exhibit spin arrangements with no net magnetization, positioning them as promising candidates for spintronics applications. While electrical manipulation of the single-crystal AFMs, composed of periodic spin configurations, is achieved recently, it remains a daunting challenge to characterize and to manipulate polycrystalline AFMs. Utilizing statistical analysis in data science, we demonstrate that polycrystalline AFMs can be described using a real, symmetric, positive semi-definite, rank-two tensor, which we term the ‘Néel tensor’. This tensor introduces a unique spin torque, diverging from the conventional field-like and Slonczewski torques in spintronics devices. Remarkably, Néel tensors can be trained to retain a specific orientation, functioning as a form of working memory. This attribute enables zero-field spin-orbit-torque (SOT) switching in trilayer devices featuring a heavy-metal/ferromagnet/AFM structure and is also consistent with the X-ray magnetic linear dichroism measurements. Our findings uncover hidden statistical patterns in polycrystalline AFMs and establishes the presence of Néel tensor torque, highlighting its potential to drive future spintronics innovations.
Evaluation of oral chemotherapeutic drug therapy managed jointly by oncologists and pharmacists
Authors: Xue Jing , Zhang Jianwei , Xie Xiaoyu , Li Xiaoyan 
Published: October 2023

Abstract
Objective:
To assess the need for medication therapy management(MTM) from an oncologist/pharmacist joint clinic for patients who self-administer oral chemotherapeutic drugs and to identify intervention programs for pharmacists.
Methods:
Eighty-three patients who received oral chemotherapy drugs and received medication therapy management(MTM) were assessed by follow-up for three months. Pharmacists reviewed drug indications, use and dosage, oral and written medication education, evaluation of drug interactions, management of adverse drug reactions, medication errors and compliance, improvement and resolution of adverse drug reactions, avoidance of medication errors, and correction of medication compliance.
Results:
There were 226 follow-up visits and 164 interventions. The management of adverse drug reactions was the most important intervention. There were 655 adverse drug reactions, of which 104 were addressed by intervention and 80 were alleviated or resolved. Eighteen drug interactions were identified, 11 of which were serious drug-drug interactions. Seven medication errors were corrected. Twenty-seven items of medication compliance were managed.
Conclusions：
Patients who were receiving oral chemotherapy drugs within the standard of care needed additional support, and the medication therapy management(MTM) by pharmacists in the combined oncologist-pharmacist outpatient model could partly meet this need. Early medication therapy management(MTM) interventions may reduce the severity of adverse events, and late medication therapy management(MTM) interventions suggest the need for long-term follow-up management. Further analysis of the cost savings and cost avoidance of pharmacist intervention is necessary to justify the implementation of joint oncologist and pharmacist clinics.
Process parameters simulation and analysis of a new reactor for high temperature MOCVD AlGaN growth
Authors: An Jiadai , Dai Xianying , Liu Ying , Huang Kama , Zhang Dengke 
Published: October 2023

Abstract
Commercially, metal organic chemical vapor deposition (MOCVD) is a typical and effective approach to the AlGaN film growth. It is believed that high temperature growth condition is favorable for improving efficiency and crystallization quality for the film. However, problems such as low growth rate and poor crystallization quality are common in the growing process. Considering the process conditions, such as operating pressure, gas flow rate and rotation speed, and to ensure the uniformity of growth rate and substrate thickness, a new high-temperature reactor is proposed in this paper. The process parameters were optimized by CFD simulation and the finite element analysis was conducted on the temperature field, pressure field, velocity field, density field and other physical fields. These conditions make the flow field in the reactor stable and ensure the thickness uniformity of the deposited films. These research not only provide an effective solution for high quality MOCVD AlGaN growth, but also provide a theoretical basis for experiments and equipment improvement that follows.