bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a Moderation-Based Islamic Education Learning Model in Efforts to Strengthen Student Tolerance at Public Universities in Lampung and Banten Provinces
Authors: Imam Syafei  , Wasehudin  , M. Asy'ari  , Rofiqi  , Cicik Aini  
Published: March 2023

Perguruan tinggi sebagai pelaksana pendidikan memiliki tanggungjawab moral dalam rangka membentuk masyarakat yang moderat dalam upaya memperkuat sikap toleransi mahasiswa melalui model pembelajaran yang dilaksanakan. Penelitian ini berupaya untuk menungkap dan menganalisis pengembangan model pembelajaran PAI berbasis moderasi beragama dalam upaya memperkuat toleransi mahasiswa di Perguruan Tinggi Umum di Provinsi Lampung dan Banten. Metode penelitian yang digunakan dalam kajian ini adalah desain research and development, yaitu penelitian yang digunakan untuk menghasilkan produk tertentu dan menguji keefektifan produk tersebut berdasarkan prosedur yang dilaksanakan dari tahapan perencanaan, pengembangan, uji coba, revisi, dan pelaksanaan produk yang berupa model pembelajaran PAI. Model pembelajaran yang dikembangkan adalah model pembelajaran PAI dengan small group discussion di mana mahasiswa dituntut untuk mendiskusikan tema tentang moderasi serta memecahkan persoalan tertentu berkaitan dengan moderasi. Hasil penelitian ini menunjukkan bahwa pembelajaran PAI berbasis moderasi memiliki peran yang besar terdahap pembentukan sikap toleransi mahasiswa di Perguruan Tinggi Umum di Provinsi Lampung dan Banten. Pembelajaran PAI berbasis pada moderasi beragama memiliki komitmen kuat di dalam menanamkan nilai multikultural kepada mahaisiswa sehingga mereka dapat menghormati peredaan yang terjadi dalam lingkungan masyarakat. Hasil dari Pengembangan Model Pembelajaran PAI Berbasis Moderasi Beragama mahasiswa manunjukkan bahwa model pembelajaran PAI dapat meningkatkan sikap toleransi beragama mahasiswa secara signifikan. Oleh karena itu, pengembangan model pembelajaran tersebut sangat direkomendasikan untuk diaplikasikan dalam konteks perguruan tinggi umum khususnya di Provinsi Lampung dan Banten sebab memiki kontribusi kuat dalam rangka mencetak mahasiswa yang memiliki sikap toleransi yang tinggi.
Évaluation socio-économique de la réduction d’usage des antibiotiques dans la filière porcine : le plan Ecoantibio 1
Authors: LHERMIE Guillaume , FERCHIOU Ahmed , NDIAYE Youba , JUSTINIA Giffona , LISBONA Damien , KORALEWSKI Mathilde , DARDELET Line , WARET-SKZUTA Agnès , RABOISSON Didier 
Published: March 2023

La contribution relative de l’usage des antibiotiques en production animale sur la baisse de l’efficacité des antibiotiques utilisés en médecine humaine reste mal documentée, mais l’importance de ce problème de santé publique requiert de réduire leur usage. Le plan Ecoantibio 1, mis en œuvre entre 2012 et 2016, consiste en une approche volontaire coordonnée par le Ministère de l’Agriculture afin de limiter l’usage des antibiotiques dans les filières d’élevage. Ce plan, ainsi que l’ensemble des initiatives privées et publiques mises en place sur cette période ont permis une réduction massive de l’usage des antibiotiques. L’évaluation rétrospective présentée ici identifie les effets socio-économiques, aux niveaux individuels et structurels, de ce plan sur la filière porcine française, perçue comme forte utilisatrice d’antibiotiques. Pour ce faire, une enquête a été conduite auprès des parties prenantes.
Les impacts socio-économiques du plan Ecoantibio 1 apparaissent modérés, au niveau des changements de pratiques, des transformations structurelles, et des effets économiques. Ce plan s’est inséré dans une dynamique professionnelle, amorcée par d’autres politiques publiques et des initiatives privées. D’un point de vue technique, la plupart des alternatives aux antibiotiques existaient avant la mise en œuvre du plan, comme la vaccination ou la biosécurité. Les relations entre parties prenantes de la filière porcine ont été soit peu impactées, soit renforcées. Enfin, ce plan n’a pas eu d’impact significatif sur la croissance des porcs ni sur les revenus des différents acteurs. In fine, le plan Ecoantibio 1 est venu confirmer la dynamique déjà à l’œuvre, tout en donnant une assise règlementaire à des pratiques déjà en place.
Numerical Simulation of the Fracture Propagation Mechanism during Supercritical Carbon Dioxide Fracturing in Shale Reservoirs
Authors: Li Fengxia , Zhou Tong , Wang Haibo , He Jianming , Shi Aiping 
Published: March 2023

Abstract
To investigate the fracture propagation mechanism during supercritical CO2 fracturing in shale reservoirs, a numerical model was proposed based on the displacement discontinuity method. The Peng–Robinson equation was introduced to determine the variations in CO2 properties during the fracturing process. Considering natural fracture distribution in shale reservoirs, the fracture propagation mechanisms during supercritical CO2 fracturing in shale reservoirs under different horizontal stress differences and matrix permeabilities were analyzed. The influence of the proportion of CO2 preenergizing on fracture morphology was discussed. The results obtained via numerical simulation show that supercritical CO2 is beneficial to create a more complex fracture network by activating natural fractures under the same horizontal stress difference. CO2 easily penetrates into the matrix near the fracture surfaces, increasing reservoir energy. However, when the permeability of shale reservoirs exceeds 0.04×10−3 μm2, substantial filtration of CO2 into the reservoir matrix occurs near the well bore, limiting the activation of natural fractures around the fracture tip. A higher proportion of CO2 preenergizing during fracturing is conducive to improve the fracture complexity while reducing the fracture aperture.
Performance Analysis of Machine Learning Algorithms for Cardiovascular Diseases Detection.
Authors: Okemiri Henry Anayo , Alo Rita U. , Nnamene Christopher C. 
Published: March 2023

Abstract
Machine learning and the internet of things are rapidly gaining popularity around the world, particularly in the healthcare area. Heart disease is one of the deadliest diseases, and early detection is critical for many medical professionals in order to save their patients' lives. The research's key contributions are a comparative comparison of various machine learning models for identifying heart disease with higher accuracy than existing methods. Three models have been introduced for this purpose: Naive Bayes (NB), Random Forest (RF), and Support Vector Machine (SVM). For a more exact evaluation, their performances were evaluated and compared using several criteria. The RF is the best ideal model for prediction, according to the comparison research, since it has a higher prediction potential than other models, with a 100% accuracy on various cardiac illnesses. The dataset came from the University of California, Irvine's heart disease repository (UCI).
Localization and Priority-Based Multi-objective QoS Congestion Control Routing for Underwater Wireless Sensor Network
Authors: S Sandhiyaa , Gomathy C 
Published: March 2023

Abstract
The nodes in the sensor network have a wide range of uses, particularly on under-sea links that are skilled for detecting, handling as well as management. The underwater wireless sensor networks supports collecting pollution data, mine survey, oceanographic information collection, aided navigation, strategic surveillance, and collection of ocean samples using detectors that are submerged in water. Localization, congestion routing, and prioritizing traffic is the major issue in an underwater sensor network. Our scheme differentiates the different types of traffic and gives every type of traffic its requirements which is considered regarding network resources. Minimization of localization error using the proposed angle-based forwarding scheme is explained in this paper. We choose the shortest path to the destination using the fitness function which is calculated based on fault ratio, dispatching of packets, power, and distance between the nodes. This work contemplates congestion conscious forwarding using hard stage and soft stage scheme which reduce the congestion by monitoring the status of the energy and buffer of the nodes and controlling the traffic. The study with the use of the ns3 simulator demonstrated that a given algorithm accomplishes superior performance for loss of packet delay of latency and power utilization than the existing algorithms.
Data Mining Method in Seismology by Applying Cellular Automaton Equivalence of Ground Vibration Fluctuations Recorded Near the Epicenter of the 2011 Mw 9 East Japan Earthquake
Authors: Kikuchi Hiroyuki 
Published: March 2023

Abstract
The data mining method is proposed to discover the target physical phenomena in the ground vibration velocity fluctuation (GVF) recorded near an epicenter of the Great East Japan Earthquake of magnitude 9 (GEJE). Although the GVF can be discussed in the framework of the master equation which represents the thermodynamics of a stochastically fluctuating non-equilibrium system, the relation between the thermodynamic parameters and seismology-related phenomena is hardly known. So, we introduce cellular automata (CA) to analogically interpret the physical phenomena of interest as thermodynamic parameters, and show the thermodynamic equivalence between GVF and CA. These CA-derived thermodynamic parameters are then expected to deliver physical phenomena similar to those of the target when evaluated on the GVF data. Since the physical phenomena obtained by the data mining are analogous phenomena, we verify the physical consistency between the target physical phenomena and analogous physical phenomena at the end of the data mining. In the demonstrated example of data mining, the stress relaxation signal immediately after GEJE is discovered from the recorded GVF data by deriving the thermodynamic parameters representing the stress relaxation of CA and evaluating these thermodynamic parameters for the recorded GVF data. Furthermore, the elastic rigidity and viscosity of the underground structures are estimated from the stress relaxation signal. The non-traditional features of this study are that the GVF of interest is a weak fluctuation signal with no specific waveform and that the key role of CA is to analogically interpret physical phenomena as thermodynamic parameters.
Accuracy of a noninvasive estimated continuous cardiac output measurement under different respiratory conditions: A prospective observational study
Authors: Takakura Masashi , Fujii Tasuku , Taniguchi Tomoya , Suzuki Shogo , Nishiwaki Kimitoshi 
Published: March 2023

Abstract
Purpose
Recently, the estimated continuous cardiac output (esCCO) system was developed as a noninvasive hemodynamic monitoring alternative to the thermodilution cardiac output (TDCO). However, the accuracy of continuous cardiac output measurements by the esCCO system compared with TDCO under different respiratory conditions remains unclear. This prospective study aimed to assess the clinical accuracy of the esCCO system by continuously measuring the esCCO and TDCO.
Methods
Forty patients who had undergone cardiac surgery with a pulmonary artery catheter were enrolled. We compared the esCCO with TDCO from mechanical ventilation to spontaneous respiration through extubation. Patients undergoing cardiac pacing during esCCO measurement, those receiving treatment with an intra-aortic balloon pump, and those with measurement errors or missing data were excluded. In total, 23 patients were included. Agreement between the esCCO and TDCO measurements was evaluated using Bland–Altman analysis with a 20-minute moving average of the esCCO.
Results
The paired esCCO and TDCO measurements (939 points before extubation and 1112 points after extubation) were compared. The respective bias and standard deviation (SD) values were 0.13 L/min and 0.60 L/min before extubation and −0.48 L/min and 0.78 L/min after extubation. There was a significant difference in bias before and after extubation (P<0.001); the SD before and after extubation was not significant (P=0.315). The percentage errors were 25.1% before extubation and 29.6% after extubation, which is the criterion for acceptance of a new technique.
Conclusion
The accuracy of esCCO system is clinically acceptable to that of TDCO under mechanical ventilation and spontaneous respiration.
Temozolomide Combined with Radiotherapy Can Benefit Patients with Glioma: A Systematic Review and Meta-Analysis
Authors: huang Qinhong , Yang Lihui , Ye Zhenwei , Ke Yiquan , Yang Jing 
Published: March 2023

Abstract
Background: Glioma originates from glial cells of the nervous system and is the most common malignant tumor in the brain. Temozolomide is considered as a promising medicine that can improve the overall survival (OS) and progress-free survival (PFS) rate of patients with glioma after operation. However, whether radiotherapy plus temozolomide has substantive role for glioma patients remains controversial.
Methods:We conducted a meta-analysis included 10 Randomized controlled trials (RCTs) encompassing 2703 patients to evaluate the efficacy and safety of radiotherapy plus temozolomide for glioma. EMbase, PubMed, Web of Science, and Cochrane library were searched. Our study strictly follows the PRISMA guideline.
Results:Overall, compared with receiving radiotherapy alone, patients through radiotherapy combined with temozolomide has substantial benefit on both OS (HR=0.78; 95% CI: 0.62-0.98; P =0.03) and PFS (HR=0.62; 95% CI: 0.49-0.78; P <0.0001). The best effect shows in patients receiving radiotherapy combined with both concurrent and adjuvant temozolomide on both OS (HR=0.66; 95% CI: 0.58-0.74; P <0.00001) and PFS (HR=0.55; 95% CI: 0.48-0.62; P <0.00001), when compared with radiotherapy alone. Whereas, temozolomide monotherapy do not show greater benefits than radiotherapy alone on OS (HR=0.93; 95% CI: 0.74-1.14; P =0.53). Moreover, radiotherapy plus temozolomide obviously increase the incidence of hematological complications than only radiotherapy (RR=10.31; 95% CI: 4.49-23.71; P<0.00001). Also, our meta-analysis suggested that MGMT methylation test can be helpful for evaluating prognosis, determining individualized treatment and forecasting the curative effect.
Conclusion:Radiotherapy combined with temozolomide, especially combined with both concurrent and adjuvant temozolomide has great benefit on both OS and PFS of glioma patients. Conditionally, patients with glioma receiving glioma MGMT methylation test have advantage over evaluating prognosis, determining individualized treatment and forecasting the curative effect. Last but not least, monitoring blood routine and remedying the possible abnormalities in time is especially necessary of patient receiving temozolomide therapy.
PAI-1 regulates AT2-mediated re-alveolarization and ion permeability
Authors: Ali Gibran , Zhang Mo , Chang Jianjun , Zhao Runzhen , Jin Yang , Ji Hong-Long 
Published: March 2023

Abstract
Background Acute lung injury is characterized by overwhelmingly elevated PAI-1 in both lung edema fluid and the circulating system. The role of increased PAI-1, encoded by Serpine1 gene, in the regeneration of injured lung epithelium has not been understood completely. This study aimed to investigate the role of Serpine1 in the regulation of alveolar type 2 epithelial cell (AT2) fate in a humanized mouse line carrying diseased mutants (Serpine1Tg).
Methods Wild type (wt) and Serpine1Tg AT2 cells were either cultured as monolayers or 3D alveolospheres. Colony forming assay and total surface area of organoids were analyzed. AT1 and AT2 cells in organoids were counted by immunohistochemistry and fluorescence-activated cell sorting (FACS). To test the potential effects of elevated PAI-1 on the permeability in the epithelial monolayers, we digitized the biophysical properties of polarized AT2 monolayers grown at the air-liquid interface.
Results A significant reduction in total AT2 cells harvested in Serpine1Tg mice was observed compared with wt controls. AT2 cells harvested from Serpine1Tg mice reduced significantly over the wt controls. Spheroids formed by Serpine1Tg AT2 cells were lesser than wt control. Similarly, the corresponding surface area, a readout of realveolarization of injured epithelium, was markedly reduced in Serpine1Tg organoids. FACS analysis revealed a significant suppression in the number of AT2 cells, in particular, the CD44+ subpopulation, in Serpine1Tg organoids. A lesser ratio of AT1:AT2 cells in Serpine1Tg organoids was observed compared with wt cultures. There was a significant increase in transepithelial resistance but not amiloride inhibition.
Conclusions Our study suggests elevated PAI-1 in injured lungs downregulates alveolar epithelial regeneration by reducing the AT2 self-renewal, particularly in the CD44+ cells.
Effects of Observational Uncertainty and Models Similarity on Climate Change Projections
Authors: Pathak Raju , Prasad Dasari Hari , Karumuri Ashok , Hoteit Ibrahim 
Published: March 2023

Abstract
Climate change projections (CCPs) are based on the multimodel means of individual climate model simulations that are assumed to be independent. However, model similarity leads to projections biased toward the largest set of similar models and the underestimation of uncertainties. We assessed the influence of similarities in CMIP6 through CMIP3 CCPs. We ascertained model similarity due to shared physics/dynamics and initial conditions by comparing simulated spatial temperature and precipitation with the corresponding observed patterns and accounting for inter-model spread relative to the spread across observational datasets. After accounting for similarity, the information from 57 CMIP6, 47 CMIP5, and 24 CMIP3 models could be explained by just 11 effective models, without significant differences in globally averaged climate change statistics. The effective models showed a smaller globally averaged temperature rise of 0.25ºC (~0.5ºC–1ºC in some regions) by the end of 21 century relative to the multimodel mean of all models for socioeconomic pathways 5–8.5.
Patterns of Treatment Response Profile in Sri Lankan Traditional Medicines on Chronic Kidney Disease of Unknown Etiology Patients in North Central region, Sri Lanka: A Follow-up Study
Authors: Suresh Sugandhika , Fernando Sanuri , Galgamuwa Lahiru Sandaruwan , Kumarasinghe Nishantha , Perera Kamal , Suriyakumara Vindika , Aslam Fahim , Hakmanage Navodi Mekala , Lankeshwari Aloka , Madushani Rangika , Karunarathne Chaminda , Udara Supun 
Published: March 2023

Abstract
Background: Since early nineties investigators in Sri Lanka have noticed an alarmingly high incidence of a new form of chronic kidney disease of uncertain etiology (CKDu) in North Central Region of the country. The purpose of the present study was to assess the treatment response profile of a selected traditional medicine used for Chronic Kidney Disease of unknown etiology in Sri Lanka.
Methods: A follow-up study was performed with Chronic Kidney Disease of unknown patients receiving a selected traditionalmedicine in Sri Lanka. Socio-demographic characteristics and anthropometric measurements were documented. Blood and urine samples were collected for biochemical analysis. Multistate Markov model was used to estimate rates of transition between stages of chronic diseases.
Results: Anthropometric and biochemical parameters of 96 CKDu patients and 20 normal individuals were recorded in a period of six months. Serum creatinine, urine micro albumin, Albumin creatinine ratio and Systolic Blood pressure values were significantly decreased in the six-month study period. eGFR value was significantly increased over the six-month study period. Positive correlations were identified between ACR-Micro albumin, ACR-BMI and ACR-eGFR while e-GFR-serum creatinine, e-GFR-micro albumin and ACR-serum creatinine showed negative correlations.
Conclusions: A significant improvement in both biochemical and anthropometric parameters were observed among patients who underwent Sri Lankan traditional medicine treatment. Continuous follow up programs are important to improve biochemical and physical parameters as well as their quality of life.
Vacuum Expansion and Collapse Inside an Infinite Shell
Authors: Laforet Christopher 
Published: March 2023

Abstract
The FRW model of cosmology assumes a Universe with uniform pressure and density everywhere in space at a given time. But at the largest scales, the Universe has a web-like structure surrounding large voids, violating these assumptions. Furthermore, a given region of spacetime is describable only by a single metric and therefore it cannot be that the Universe is modelled as an FRW perfect fluid since this would be the incorrect description of both the web and the voids. The cosmic web must be described by metrics with non-zero energy-momentum tensors with non-uniform pressure and density describing the matter within it. Therefore, the model of cosmology describing the expansion of the Universe must be a vacuum solution describing the empty spaces in the Universe surrounded by an infinite, massive shell (the surrounding Universe). Taking the expanding balloon analogy of the expansion of the Universe, the matter-dense portions of the Universe would be like knots in the balloon which stay knotted while the vacuum between them expands. The internal Schwarzschild metric is that model. The source of the Schwarzschild metric is shown to be at the event horizon, a location/time of infinite density, not at the singularity, as it is currently assumed. The spatial homogeneity of the metric is demonstrated by visualizing the geometry in the extrinsic "Kruskal-Szekeres" coordinates (visualized in 1+2 dimensions). Using the coordinate age of the Universe and transition redshift, this predicts the accelerated expansion, the Hubble diagram fits currently available cosmological data, and it gives a Hubble constant H0 of 71.6km/s/Mpc. The angular term of the metric describes the relativistic kinematic precession effect known as Thomas Precession which can be interpreted as spin about the time dimension.
How Australian environmental non-governmental organisations frame and enact climate justice
Authors: Gulliver Robyn , Vachette Astrid , Boddington Sarah 
Published: March 2023

Abstract

This paper seeks to examine how Australian environmental non-governmental organisations (ENGOs) communicate about and mobilise their supporters for climate justice. ENGOs play an important role in raising awareness and changing values, attitudes and behaviours related to climate justice. However, while a number of Australian ENGOs have begun incorporating language around climate justice in their communications, it remains unclear how they are conceptualised and enacted. Using data collected from 619 ENGO websites and 149 grant applications, we examine how ENGOs describe climate justice and the collective action frames they use to mobilise action. We found that while few ENGOs provided detailed explanations of climate justice on their websites, they primarily frame climate injustice as a procedural and distributive problem. The fossil fuel sector was most commonly identified as the cause of climate injustice, and First Nations communities most commonly affected. ENGOS consistently linked specific climate justice dimensions to relevant issues and solutions, suggesting a sophisticated understanding of how climate justice can be enacted. However, they primarily proposed incremental tactics involving education, solidarity and allyship behaviours, rather than radical actions through which to drive a transformative agenda of social, political or economic change. We conclude the paper with a discussion of applied implications for ENGOs and suggestions for future research.