bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determining the petrophysical rock types utilizing the Fuzzy C-means Clustering technique and the concept of hydraulic flow units in the Asmari Formation, SW Iran
Authors: Eftekhari Seyedeh Hajar , Memariani Mahmoud , Maleki Zahra , Aleali Mohsen , Kianoush Pooria 
Published: July 2023

Abstract
Rock types are the reservoir's most essential properties and show special facies with a defined range of porosity and permeability. This study used the fuzzy c-means clustering technique to identify rock types in 280 core samples from one of the wells drilled in the Asmari reservoir in the Mansouri field, SW Iran. Four hydraulic flow units were determined for studied data after classifying the flow zone index with histogram analysis, normal probability analysis, and the sum of square error methods. Then the two methods of flow zone index and fuzzy c-means clustering were used to determine the rock types in given wells according to the results obtained from the implementation of these two methods in-depth, and continuity index acts, the fuzzy c-means methods with continuity number 3.12 compared to flow zone index with continuity number 2.77 shows more continuity in depth. The relationship between porosity and permeability improved using hydraulic flow unit techniques significantly. In this study, the correlation coefficient between porosity and permeability improves and increases in each hydraulic flow unit using the flow zone index method. So that in the general case, all samples increased from 0.55 to 0.81 in the first hydraulic flow unit and finally 0.94 in the fourth hydraulic flow unit. The samples were characterized by similar flow properties in a hydraulic flow unit. In comparison, the correlation coefficient is obtained less than the general case in the fuzzy c-means method in all hydraulic flow units.
Tunable Parity-Time Symmetry Vortex Laser from Phase Change Material Based Microcavity
Authors: Cao Tun , Su Ying , Fan Hongji 
Published: July 2023

Abstract
Traditional light sources cannot emit the electromagnetic (EM) field with orbital angular momentum (OAM), limiting their applications in modern optics. The recent development of the OAM laser, mainly based on micro- and nanostructures, can satisfy the increasing requirements for on-chip photonics and information capacities. Nevertheless, the static nature of constitutive parameters of photonics structure inherently forbids the attainment of a dynamically tunable OAM laser. Here, we propose a tunable vortex lasing from a micro-ring cavity integrated by a phase change material, Ge2Sb2Te5 (GST225). By modulating the complex refractive index to create an exceptional point (EP) to break the degeneracy of oppositely oriented whispering gallery modes, the micro-laser working at EP can impart an artificial angular momentum, thus emitting vortex beams with well-defined OAM. The grating scatter on the edge of the micro-ring can offer efficient vertical radiation. We find that the vortex laser wavelength from the GST225/InGaAsP dual-layered micro-ring cavity can be dynamically tuned by switching the state of GST225 between amorphous and crystalline while fixing the micro-ring geometry. An electric-thermal model is built to show a tuning range of operating wavelength (EP) from 1544.5 to 1565.9 nm in ~ 25 ns. Our exploration of high-speed tunable PT-symmetry vortex laser opens the door to the next generation of integrated optoelectronic devices for optical computing and communications in both classical and quantum regions.
Development of a Green Manufacturing Implementation based on Life Cycle Assessment
Authors: Ijaz Tehrim , Razzaq Ahmed Abdul , Qazalbash Agha Haider Raza , Rafique Muhammad Zeeshan , Khan Mohammad Aamir , Jamshaid Syeda Hadika 
Published: July 2023

Abstract

Climate change stabilization at 1.5°C to 2°C requires a shift in paradigm of industries to transition to low carbon industries. The way forward to decarbonize industries is green manufacturing, as the environmental facet of manufacturing has often been compromised for the sake of economic gains. In order to implicate green manufacturing, it is incumbent upon manufacturing facilities to introduce such measures which ensure that carbon footprint and environmentally detrimental emissions are minimized. In this context, Life-cycle Assessment (LCA) is an excellent tool to record, analyze and critically review the environmental impact of a process. In order to investigate the environmental hotspots, the authors have performed LCA of an auto-parts manufacturing industry in Pakistan by using a unique gate-to-gate approach. ReCiPe Midpoint (H) impact assessment method was utilized to investigate the effects of manufacturing and transportation related emissions of the monthly produce on climate change, fossil depletion, ionizing radiation and human toxicity. Furthermore, the authors discuss three scenarios in results, which include current state, optimized future state and an energy mix involving hydropower and photovoltaic generation. The results helped in developing a comprehensive framework for green manufacturing which suggests that the prerequisite of a green manufacturing process is an optimized process flow, which significantly reduces the environmentally detrimental emissions up to 24%. Moreover, the use of photovoltaic cells results in 54% reduction, thus indicating that conventional hydropower systems in developing countries should be mixed with solar power to reduce the environmental burden. A detailed green manufacturing framework based on LCA is proposed by the authors to enhance the functionality and to improvise the carbon burden of the manufacturing sector of Pakistan.
Index of cardiac electrophysiological balance can better predict the risk of arrhythmia than QT and Tp-e interval in patients inhalating sevoflurane
Authors: Fu Xiaokui , Yan Xiaoling , Liu Yanqiu 
Published: July 2023

Abstract

Objective: To compare the value of ECG markers such as QT interval, Tp-e interval and index of cardiac electrophysiological balance (iCEB) in evaluating the effect of sevoflurane on cardiac electrophysiology.
Methods: Sixty patients undergoing elective gynecological surgery were randomly divided into group S1, group S2 and group S3, 20 cases in each group. Patients were received 10ml/kg of hydroxyethyl starch, 0.1mg/kg of midazolam, 0.1 mg/kg of vecuronium, 3μg/kg of fentanyl and 0.3mg/kg of etomidate intravenously. Mechanical ventilation was performed after endotracheal intubation. Sevoflurane concentration was maintained at 0.6 MAC, 1.3 MAC and 2.0 MAC in group S1, group S2 and group S3 respectively. The QT interval, QRS interval and Tp-e interval were measured before anesthesia induction (T1), 5 minutes after tracheal intubation (T2), and 20 minutes after rising to the set concentration of sevoflurane (T3). The QTc interval, Tp-e/QT ratio and iCEB were measured and calculated. MAP and HR were recorded at the same time.
Results Compared with T1-2, MAP and HR decreased at T3 in S1-3 group (P < 0.05); Compared with T1, iCEB increased at T2-3 in S1-3 groups, QTc interval prolonged at T3 in S1-3 groups (P < 0.05). Compared with T2, iCEB increased at T3 in S1-3 groups. Compared with S1 group , the Tp-e Shortened, iCEB increased in S2-3 groups . Compared with S2 group, iCEB decreased in S3 group at T3.
Conclusion: iCEB is more sensitive and objective, and can better predict the risk of arrhythmia. iCEB can be used as the preferred index to evaluate the electrophysiological effects by anesthetics in clinic.
Analytical and experimental shear evaluation of GFRP reinforced concrete beams
Authors: Mistretta Fausto , Puppio Mario Lucio , Camata Guido , Nanni Antonio 
Published: July 2023

Abstract
Reinforced Concrete (RC) technology is moving towards new frontiers improving its sustainability and durability throughout innovative materials. In particular, the application of Glass Fiber Reinforced Polymer (GFRP) bars, in lieu of the steel reinforcement, shows excellent performance, especially in aggressive environments However, current international design guides and standards are quite conservative, particularly for the shear reinforcement, and this makes the technology less competitive both in terms of the amount of material used and especially in terms of construction. This research aims to analytically compare and experimentally validate the formulations of some international standards on shear capacity in case of reduced shear reinforcement and when the number of stirrups is less than the minimum recommended by the standards itself. The sample beam tests considered two different flexural GFRP reinforcement ratios to assess their role in shear capacity resulting in different collapse mechanisms: longitudinal GFRP bar rupture and concrete crushing. The experimental results were used to compare the North American ACI, French AFGC, and Italian CNR shear capacity design approaches. Analytical capacity expressions are discussed with some remarks aiming to structural optimization.
Research on 5G Heterogeneous Ultra Dense network selection algorithm based on Dueling- DDQN
Authors: XIE JIANLI , ZHU BINHAN , Li Cuiran 
Published: July 2023

Abstract
In the 5G Heterogeneous Ultra Dense Network environment, due to the dense deployment of the network and the diversity of user service types, a more flexible network selection algorithm is required to reduce the network blocking rate and improve the user’s quality of service (QoS). Considering the QoS requirements and preferences of the users, a network selection algorithm based on Dueling-DDQN is proposed by using deep reinforcement learning, which defines the state, action space and reward function of the different services to maximize the cumulative reward value of the network selection algorithm. The simulation results show that compared with other algorithms, the proposed algorithm can effectively reduce the network blocking rate while reducing the switching times.
Splicing Variant of WDR37 in a Case of Neurooculocardiogenitourinary Syndrome
Authors: Samejima Mai , Nakashima Mitsuko , Shibasaki Jun , Saitsu Hirotomo , Kato Mitsuhiro 
Published: July 2023

Abstract
Background
Neurooculocardiogenitourinary syndrome (NOCGUS), a multisystemic syndrome characterized by motor disorder, intellectual disability, seizures, abnormal brain structure, ocular diseases, and cardiac diseases, has been reported with missense variant of WD repeat-containing protein 37 (WDR37) in humans. This report aimed to identify the cause of neurooculocardiogenitourinary syndrome (NOCGUS) in an affected patient.
Case presentation
We identified a de novo intronic 4-bp deletion of WDR37, c.727 − 27_727-24del, which were predicted to cause abnormal splicing by SpliceAI, in the patient with NOCGUS. Reverse transcription polymerase chain reaction (RT-PCR) revealed intron retention of 63 base pairs before exon 10 in messenger RNA, which was predicted to insert 21 additional aberrant amino acids (p.S242_I243insLCQKKLKISRKCLFWPSLWQQ). The patient had novel phenotypes, anal atresia, and polycystic kidney, in addition to intellectual disability, seizures, cerebellar vermian anomaly, and coloboma, which are typical in NOCGUS. We did not observe motor impairments or cardiovascular anomalies.
Conclusion
This is the first reported case of NOCGUS with the splicing variant of WDR37, which manifests with distinctive but variable features. Our findings may expand a possible phenotypic expression of NOCGUS.
Boron nitride nanosheets modified BiOBr photocatalysts for promoting photocatalytic removal of tetracycline under visible light irradiation
Authors: Tong Yu , Ma Zhanying , He Yangqing 
Published: July 2023

Abstract

A series of BN/BiOBr heterojunctions was constructed using in situ hydrothermal-precipitation method and was employed to remove the tetracycline molecules in aqueous solution. The rate of photocatalytic degradation efficiency of tetracycline by 0.05BN/BiOBr was ensured to be more excellent than that by BiOBr. The type-II heterojunciton fabricated between BN and BiOBr enforced an internal electron transfer from BiOBr to BN, which inhibited charge recombination. The major reactive species involved in the photocatalysis system were found to be hydroxyl radicals (•OH) and photo-holes (h+), which was verified by the scavenger tests. 0.05-BN/BiOBr heterojunctions showed remarkable reusability and still could degrade 89.25% of tetracycline after four consecutive cycles. According to the characterization and experimental results, a plausible enhanced photocatalytic mechanism was put forward. This work provided the guidance for rational designing heterojunctions with remarkable performance towards antibiotics elimination from wastewater.
Motivation Matters: Unraveling the Influence of Trial-Based Motivational Changes on Performance Monitoring Stages in a Flanker Task
Authors: Overmeyer Rebecca , Kirschner Hans , Fischer Adrian G. , Endrass Tanja 
Published: July 2023

Abstract
Performance monitoring (PM) is a vital component of adaptive behavior and known to be influenced by motivation. We examined effects of potential gain (PG) and loss avoidance (LA) on neural correlates of PM at different processing stages, using a task with trial-based changes in motivational context. Findings suggest more attention is allocated to the PG context, with higher amplitudes for respective correlates of stimulus and feedback processing. The PG context favored rapid responses, while the LA context emphasized accurate responses. Lower response thresholds in the PG context after correct responses derived from a drift-diffusion model also indicate a more approach-oriented response style in the PG context. This cognitive shift is mirrored in neural correlates: negative feedback in the PG context elicited a higher feedback-related negativity (FRN) and higher theta power, whereas positive feedback in the LA context elicited higher P3a and P3b amplitudes, as well as higher theta power. There was no effect of motivational context on response-locked brain activity. Given the similar frequency of negative feedback in both contexts, the elevated FRN and theta power in PG trials cannot be attributed to variations in reward prediction error. The observed variations in the FRN indicate that the effect of outcome valence is modulated by motivational salience.
Operational Analysis of the Pediatric Patient Flow in a Hospital
Authors: Takagi Hideaki , Kanai Yuta 
Published: July 2023

Abstract
The authors have been studying the system-scientific modeling of the inpatient flow in an acute-care hospital using the recorded order log data for the movement of patients over a finite observation period. We have thus far published the study results for the patient flows of obstetric and neonatal patients in a hospital. The order log in the University of Tsukuba Hospital during the two fiscal years 2010-2011 was used as a data source.
In the present study, we deal with pediatric patients who are transferred over several wards from their admission until their discharge. We calculate the number of admissions, ward transfers, and discharges during the two years of observation. Special attention is paid to the numbers of patients who are hospitalized before and after the finite observation periods. We consider the total number of days on which patients stay in each ward over the observation period, which is called the patient-days (PD) as a measure of clinical load brought by patients on the hospital. We count the numbers of patients who arrive to, depart from, and stay in each ward over the observation period and show that these numbers satisfy the conservation law for the patient flow in a hospital. We also confirm an identity relation among the mean number of patients staying in each ward per day, mean number of patients who arrive to that ward per day, and mean number of days a patient stays in that ward, called the mean length-of-stay (LoS), which may be thought of as a discrete-time, finite-horizon version of Little's law in queueing theory. We propose a patient residence chart to visualize the movement of each patient during their hospitalization. We present a method to classify the paths of patients, i.e., a sequence of pairs (ward number, length-of-stay on that ward), from which we calculate a variety of measures of patient movement.
An extensive quantitative analysis of the effects of errors in beat-to-beat intervals on all commonly used HRV parameters
Authors: Rohr Maurice , Güney Gökhan , Antink Christoph , Miri Seyedsadra , Tarvainen Mika , Vehkaoja Antti 
Published: July 2023

Abstract
Heart rate variability (HRV) analysis is often used to estimate human health and fitness status. More specifically, a range of parameters that express the variability in beat-to-beat intervals are calculated from electrocardiogram beat detections. Since beat detection may yield erroneous interval data, these errors travel through the processing chain and may result in misleading parameter values that can lead to incorrect conclusions. In this study, we utilized Monte Carlo simulation on real data, Kolmogorov-Smirnov tests and Bland-Altman analysis to carry out extensive analysis of the noise sensitivity of different HRV parameters. The used noise models consider Gaussian and student-t distributed noise. As a result we observed that commonly used HRV parameters (e.g. pNN50 and LF/HF ratio) are especially sensitive to noise and that all parameters show biases to some extent. We conclude that researchers should be careful when reporting different HRV parameters, consider the distributions in addition to mean values, and consider reference data if applicable. The analysis of HRV parameter sensitivity to noise and resulting biases presented in this work generalizes over a wide population and can serve as a reference and thus provide a basis for the decision about which HRV parameters to choose under similar conditions.
Metals and metalloid contamination and geochemical normalization factors in surface sediments from an important estuarine system in Southern Brazil
Authors: Lima Leonardo da Silva , Vieira Khaue , Delgado Jéssica de Freitas , Cunha Danieli Lima da , Hauser-Davis Rachel Ann , Neto José Antônio Baptista , Fonseca Estefan Monteiro da 
Published: July 2023

Abstract

Estuarine areas usually suffer significant trace element contamination effects, resulting in significant environmental risks. This is the case of the Paranaguá Estuarine System (PES), located in Southern Brazil, home to one of the largest ports in Latin America and it still boasts of a remarkable biodiversity surrounding by threatened mangrove areas. In this context, this study aimed to assess the quality of sediments concerning metals and metalloid As contamination and comparison to sediment contamination guidelines. In addition, biochemical normalization factors were applied to find out if the sources of the investigated elements were natural or anthropogenic. In 2018, 38 surface sediment samples were sampled seasonally from different PES areas to the determination to metals, metalloid As, and geochemical characteristics. Higher element values analyzed were detected close to the cities of Antonina and Paranaguá and near river mouths, potentially associated with port activities and anthropogenic throughout the surrounding drainage basins. The results revealed concentrations above the Threshold Effect Level (TEL) for Cr, Cu, and metalloid As. The Principal Component Analysis of the analyzed variables showed a strong interaction involving metals/metalloids, organic matter, nutrients, total organic carbon and the fine fraction of sediments. Metals and metalloid As concentrations were lower than in other tropical estuaries, which may indicate water column desorption or aquatic organism absorption, potentially associated to physicochemical water variations or sediment remobilization and resuspension due to dredging activities. The applied geochemical indices indicate low to moderate PES sediment contamination, although some areas presented high values, leading to ecological concerns.
Patients’ Satisfaction with the Quality of Nursing Care: A Cross-Section Study
Authors: Alhussin Esraa Mohammed , Mohamed Sahar A. , Hassan Amel A. , Al-Qudimat Ahmad R. , Doaib Alaa M. , jonidy Raniah M. Al , harbi Lina I. Al , Alhawsawy Eman D. 
Published: July 2023

Abstract
Background
Patient satisfaction is currently a recognized measure of the effectiveness and quality of the healthcare system. It serves as an essential tool in raising the standard of care. The objective of this study was to examine patients' satisfaction with the quality of nursing care provided.
Methods
A cross-sectional hospital-based study was conducted, involving 400 patients selected through a systematic random sampling method, meeting the selection criteria. Data were collected using the "Patient Satisfaction with Nursing Care Quality Questionnaire," comprising a total of 19 items. The collected data were then analyzed and interpreted using descriptive and inferential statistics. Data was analyzed using STATA software V17.
Results
The study revealed that the highest level of satisfaction (mean 2.31, SD 1.33) was observed in the coordination of care after discharge, specifically nurses' efforts to cater to patients' needs after they left the hospital. The lowest satisfaction level was related to privacy, with provisions for patients' privacy by nurses scoring 3.9 (SD 1.00). Overall, questionnaire scores ranged from 2.31 to 3.9, with an average score of 3.26 (SD 0.64).
Conclusion
Overall, patients expressed general satisfaction with the inpatient nursing care they received, and their perceived needs and care expectations from nurses significantly influenced their satisfaction levels. Therefore, we recommend that hospital administrators regularly assess patient satisfaction levels and provide specialized on-the-job training to nurses to enhance their ability to meet patients' needs and increase their overall satisfaction.