bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of Joomla-Based Learning Media as Indonesian Learning Media
Authors: Nugroho Galih Ardhi 
Published: November 2022

<p>Tujuan penelitian ini adalah untuk menguji pengembangan, kelayakan dan keefektifan media pembelajaran berbasis Joomla dalam muatan pembelajaran Bahasa Indonesia kelas IV. Metode penelitian yang digunakan adalah Research and Development (R&amp;D) dengan menggunakan model pengembangan ADDIE. Subjek penelitian ini adalah siswa kelas IV SDN Purwoyoso 02 Semarang sebanyak 40 siswa. Teknik analisis data yang digunakan yaitu uji normalitas, uji validitas, uji reliabilitas, uji Gain, dan uji t. Hasil penelitian menunjukan bahwa media pembelajaran berbasis Joomla layak digunakan dengan presentase kelayakan penyajian oleh ahli media sebesar 80% dan kelayakan isi oleh ahli materi sebesar 80%. Adapun hasil t-test menunjukkan bahwa nilai Sig (2-tailed) sebesar 0,000 &lt; 0,05, maka Ho ditolak dan Ha diterima. Peningkatan rata-rata (N-gain) data pretest dan posttest diperoleh sebesar 0,44 dengan kriteria sedang. sehingga dapat disimpulkan terdapat perbedaan antara hasil belajar pretest dan posttest muatan pembelajaran Bahasa Indonesia siswa kelas IV SDN Purwoyoso 02 Semarang.</p>
Online Ojek Satisfaction: Brand, Trust, and Service Quality Influence
Authors: Rosidah Devi Andriyanti , Oetarjo Mas 
Published: November 2022

This descriptive study investigates the influence of brand equity, trust, and service quality on consumer satisfaction, focusing on students from a business faculty. Quantitative methods were employed, and data was collected through the distribution of questionnaires to 100 respondents. Multiple linear regression analysis was conducted using SPSS version 22 for Windows. The findings reveal significant effects of brand equity, trust, and service quality on consumer satisfaction within the context of a ride-hailing service provider. Moreover, these three variables collectively contribute to the overall consumer satisfaction experienced by customers. The implications of this research highlight the importance of cultivating brand equity, fostering trust, and delivering high-quality services to enhance consumer satisfaction in the ride-hailing industry. This study provides valuable insights for academics, practitioners, and policymakers seeking to optimize customer satisfaction and strengthen relationships with consumers.
Highlights:

The role of brand equity, trust, and service quality in influencing consumer satisfaction.
The impact of online Ojek services on consumer satisfaction.
The importance of cultivating brand equity, trust, and delivering high-quality services for enhancing consumer satisfaction in the online Ojek industry.

Keywords: Brand Equity, Trust, Service Quality, Online Ojek, Consumer Satisfaction
COVID-19 Impact on Concrete Producers: Conflict, Stress, Compensation, and Work
Authors: Rahman Muhammad Dedy Agung Syaiful , Oetarjo Mas 
Published: November 2022

The COVID-19 pandemic has profoundly affected various aspects of life, necessitating focused efforts to address its associated challenges. This quantitative study aims to investigate the impact of work conflict, job stress, and compensation on employee job satisfaction. With a population of 350 respondents, a sample size of 78 employees was randomly selected. Using multiple linear regression analysis with SPSS version 25, the results indicate that work conflict, job stress, and compensation collectively influence employee job satisfaction. Individually, work conflict negatively and significantly impacts job satisfaction, while job stress and compensation positively and significantly influence job satisfaction. These findings emphasize the importance of addressing these factors to enhance employee job satisfaction amidst the COVID-19 pandemic, with implications for organizations and policymakers alike.
Highlights:

The COVID-19 pandemic's impact on concrete producers' workforce, focusing on work conflict, work stress, and compensation.
Quantitative study with a sample size of 78 employees, utilizing multiple linear regression analysis.
Findings reveal the significant influence of work conflict, work stress, and compensation on employee work satisfaction during the pandemic.

Keywords: Work Conflict, Work Stress, Compensation, Employee Work, Concrete Producers
Nurturing Independent Character: The Vital Role of Grade 1 Teachers
Authors: Kurniasari Istyo Indah , Kurniawan Machful Indra 
Published: November 2022

This study aims to determine the role of teachers during the learning process to form the independent character of Grade 1 students at SDN Pejangkungan Prambon. This study uses a qualitative approach phenomenology, where the background in the phenomenon or the fact that in Grade 1 SDN Pejangkungan Prambon there are students who experience problems related to independent character. In every learning process there are still many students who have not been able to do it themselves and still rely on teachers. Therefore, researchers want to examine whether there is a role of teachers during the learning process to form the independent character of students. For this study using trisngulasi technique is taken from observation data, interviews and documentation of teachers in Grade 1 SDN Pejangkungan. And from the results of research that researchers get that teachers play a good role as educators, teachers, and mentors in forming independent character student.
Highlights:

Teachers as Role Models: The study highlights the vital role of teachers in serving as positive role models for Grade 1 students, influencing their development of independent character.

Fostering Autonomy: The research emphasizes the importance of the learning process in nurturing students' autonomy and self-reliance, with teachers playing a significant role in guiding and empowering them.

Triangulation Approach: By utilizing triangulation techniques through observation data, interviews, and documentation, the study provides a comprehensive understanding of how teachers contribute to the formation of independent character in Grade 1 students at SDN Pejangkungan.

Keywords: Teachers, Independent Character, Grade 1 Students, Learning Process, SDN Pejangkungan
Big Books: Enhancing Grade 4 Reading Skills Through Descriptive Texts
Authors: Ambarani Erinda , Santoso Dian Rahma 
Published: November 2022

This study discusses the use big book in learning descriptive text skills for 4th grade students at SDN GRABAGAN. The purpose of this study was to determine the effect of big book on the ability to reading descriptive text. The method used in this study is quantitative with a pre-experimental design that applies pre-test and post-test instrument. By using the paired sample T-test, it shows that there are differences in the results of the average scores of the pre-test and post-test, namely for average value of the pre-test, and, for the post-test. This shows that the use of big book has an influence in learning reading skills.
Highlights:

The study explores the utilization of big books to enhance reading skills in grade 4 students through descriptive texts.
A pre-experimental design with pre-test and post-test instruments was used to assess the impact of big book usage.
The results indicate a significant difference in the average scores between the pre-test and post-test, demonstrating the positive influence of big book on learning reading skills.

Keywords: Big book, Descriptive text, Grade 4 students, Reading skills, Elementary schools.
An Insight into the Prediction of Scale Precipitation in Harsh Conditions Using Different Machine Learning Algorithms
Authors: Yousefzadeh Reza , Bemani Amin , Kazemi Alireza , Ahmadi Mohammad 
Published: November 2022

SummaryScale precipitation in petroleum equipment is known as an important problem that causes damages in injection and production wells. Scale precipitation causes equipment corrosion and flow restriction and consequently a reduction in oil production. Due to this fact, the prediction of scale precipitation has vital importance among petroleum engineers. In the current work, different intelligent models, including the decision tree, random forest (RF), artificial neural network (ANN), K-nearest neighbors (KNN), convolutional neural network (CNN), support vector machine (SVM), ensemble learning, logistic regression, Naïve Bayes, and adaptive boosting (AdaBoost), are used to estimate scale formation as a function of pH and ionic compositions. Also, a sensitivity analysis is done to determine the most influential parameters on scale formation. The novelty of this work is to compare the performance of 10 different machine learning algorithms at modeling an extremely non-linear relationship between the inputs and the outputs in scale precipitation prediction. After determining the best models, they can be used to determine scale formation by manipulating the concentration of a variable in accordance with the result of the sensitivity analysis. Different classification metrics, including the accuracy, precision, F1-score, and recall, were used to compare the performance of the mentioned models. Results in the testing phase showed that the KNN and ensemble learning were the most accurate tools based on all performance metrics of solving the classification of scale/no-scale problem. As the output had an extremely non-linear behavior in terms of the inputs, an instance-based learning algorithm such as the KNN best suited the classification task in this study. This argumentation was backed by the classification results. Furthermore, the SVM, Naïve Bayes, and logistic regression performance metrics were not satisfactory in the prediction of scale formation. Note that the hyperparameters of the models were found by grid search and random search approaches. Finally, the sensitivity analysis showed that the variations in the concentration of Ca had the highest impact on scale precipitation.
Siniperca chuatsi rhabdovirus derived from Mandarin fish was pathogenic to Largemouth Bass
Authors: LIANG Hong-ru , FU Xiao-zhe , Xiao-ting Zhang , F Z. Y , Qiang LIN , NIU Yin-jie , l x , l nq 
Published: November 2022

Abstract
Background

Siniperca chuatsi rhabdovirus (SCRV) is one of the most important causativea gents of fish viral diseases, especially the virulent strains. SCRVcould cause significant loss and damages in the fish breeding industry. However, the pathogenesis of SCRV is unclear.

Methods

In the present study, two SCRV strains (SCRV-QY strain, SCRV-GM strain) derived from Mandarin fish was pathogenic to Largemouth Bass and the pathogenicity was revealed. The viral RNA copy numbers and innate immune activity detected by real-time qRT-PCRThe tissue sections were stained with hematoxylin-eosin (HE). And the sections of tissue were then examined by light microscope.

Results

Both of two strains were lethal to Largemouth Bass, which showed obvious clinical symptoms/pathology. The SCRV-GM strain was more virulent than the SCRV-QY strain and had higher mortality. Largemouth Bass infected with the SCRV-GM strain had higher viral RNA copy numbers than those of fishes infected with the SCRV-QY strain in all tissues. The viral RNA copy numbers were higher in the kidney, brain and spleen, which may be the target organ of virus. Additionally, the expression levels of innate immune activity-related genes, including Viperin, IRF-7, IRAK1 and Mx, were slightly up-regulated in the brain on the 7th and 21st day. Moerover, the Mx was slightly up-regulated in the intestine and spleen on the 7th and 21st day.

Conclusions

In the study, the two SCRV strains derived from Mandarin fish was lethal to Largemouth Bass and were characterized by systematic elucidation, which can help to understand the virus and diagnose the associated disease.
Comparative proteomics reveals different protein expression in platelets in patients with alcoholic liver cirrhosis
Authors: Begli Nima Haji , Freund Cora , Weiss Karl-Heinz , Gotthardt Daniel , Wannhoff Andreas 
Published: November 2022

Abstract
Background
The role of platelets in disease progression as well as the function of platelets as part of the haemostatic and immunological system in patients with liver cirrhosis is only incompletely understood. This is partly due to difficulties in assessing platelet function. Proteome analyses of platelets have been used to further investigate the role of platelets in other diseases.
Aim
To assess possible changes in the platelet proteome during different stages of alcohol induced liver cirrhosis compared to healthy donors.
Patients and Methods
A 45 ml blood sample was drawn from 18 participants aged 18–80 years evenly divided into three groups of healthy donors, patients with less advanced alcohol induced liver cirrhosis (Child-Pugh < 7) and patients with advanced liver cirrhosis (Child-Pugh > 10). The blood was processed to isolate platelets and perform subsequent two-dimensional gel-electrophoresis using a SYPRO™ Ruby dye. After computational analysation significantly in- or decreased protein spots (defined as a two-fold abundance change between different study cohorts and ANOVA < 0.05) were identified via liquid chromatography–mass spectrometry (LCMS) and searching against human protein databases.
Results
The comparative analysis identified four platelet proteins with progressively decreased protein expression in patients with liver cirrhosis. More specifically Ras-related protein Rab-7a (Rab-7a), Ran-specific binding protein 1 (RANBP1), Rho GDP-dissociation inhibitor 1 (RhoGDI1), and 14-3-3 gamma.
Conclusion
There is significant change in protein expression in the platelet proteome throughout the disease progression of alcohol induced liver cirrhosis. The identified proteins are possibly involved in haemostatic and immunoregulatory function of platelets.
Higher versus lower dose corticosteroids for severe to critical COVID-19: A systematic review and dose-response meta-analysis
Authors: Pitre Tyler , Su Johnny , Mah Jasmine , Helmeczi Wryan , Danhoe Sharef , Plaxton William , Giilck Stephen , Rochwerg Bram , Zeraatkar Dena 
Published: November 2022

Abstract
Rationale

Corticosteroids are standard of care for patients with severe COVID-19. However, the optimal dose is uncertain.
Objective
To compare higher doses of corticosteroids with lower doses in patients with COVID-19.

Methods

We searched MEDLINE, Embase, Cochrane Central Register of Controlled Trials, MedRxiv, and Web of Science from inception to August 1st, 2022, for trials that randomized patients with severe-to-critical COVID-19 to corticosteroids, standard care, or placebo. Reviewers, working in duplicate, screened references, extracted data, and assessed risk of bias using a modified version of the Cochrane risk of bias 2.0 tool. We performed a dose-response meta-analysis and used the GRADE framework to assess the certainty of evidence. We present our results both in relative risk and absolute risk difference (RD) per 1000 with 95% confidence intervals (CI).

Results

We included 20 trials, with 10,155 patients. We show that, compared to lower-dose corticosteroids, higher-dose corticosteroids probably reduce mortality (RD 14 fewer deaths per 1000 [95% CI 26 to 2 fewer]; moderate certainty), may reduce the need for mechanical ventilation (RD 11.6 fewer per 1000 [95% CI 23.2 fewer to 6.9 more]; low certainty) and may or may not reduce risk of nosocomial infections (16.7 fewer infections per 1000 [95% CI 5.4 to 25.0 fewer]; very low certainty).

Conclusions

Relatively higher doses of corticosteroids may be beneficial in patients with severe-to-critical COVID-19 and may not increase the risk of nosocomial infections.
Quantum Computing Error Correction Solved Using Chaotic Numbers
Authors: Thakur Usama 
Published: November 2022

Abstract
Quantum Mechanics and Computation has a major problem calledthe measurement problem [7] [19]. This has given physicists a very hardtime over the years when I first looked into the problem my approach wassimple find a new number system that can go with the uncertainty of aQuantum particle the paper deals with the mathematics of uncertaintywhich has solved 2 millenium prize problems [4], [5] and quantum measurementproblem very efficiently. We divide chaos into two parts lowchaos and high chaos then we find the desired value [19] inside the intersectionof both. This helps us find something in a ℵ3 >>> ∞ this takesthe problems around us to the next level if we are able to control a chaosthen we can achieve pretty much anything. This paper is inspired by [22]
Application of Machine Learning Methods for the Prediction of Roll Force and Torque during Plate Rolling of Micro-alloyed Steel
Authors: Thakur Suman Kant , Das Alok Kumar , Jha Bimal Kumar 
Published: November 2022

Abstract

Machine learning technique is extensively used to establish the relationship between non-linear data sets which cannot be described mathematically and thus an exact analytic model is either intractable or too time-consuming to develop. During hot rolling, the effect of process parameters that cannot be captured in mathematical models, such as roll dimensions and its wear, the inter-pass time between rolling passes, temperature variation has been incorporated using multivariate supervised machine learning technique for accurate prediction of roll force and torque during plate rolling of micro-alloyed steel. An ensemble method was used to combine various machine learning techniques and average them to develop one final predictive model. K-cross validation of the model was carried out to validate the results and ensure the model gets the correct pattern of data. Root mean square error of ensemble roll force model was compared with roll force calculation using Sims theory. It was found that the machine learning model can predict the roll force and torque accurately as it takes care of various non-linear process variables which cannot be accounted for mathematically. The R-value of the machine learning model was > 98%, whereas it was 92.2% for roll force calculation using Sims theory.
The effect of using treated domestic wastewater with different pH on workability, mechanical, and durability properties of self-compacting concrete
Authors: Keneshlo Shirin , Asadollahfardi Gholamreza , Homami Peyman , Salehi Amir Masoud , Akarbardoost Javad , Jeneli Mojtaba Tayebi 
Published: November 2022

Abstract
In the present work, we used treated domestic wastewater with different pHs in self-compacting concrete (SCC) to find the effect of treated wastewater with different pH on the workability, mechanical, and durability properties of SCC. Eight different SCC mixtures were designed, including two control samples using tap water with a water-to-cement ratio (W/C) of 0.5 with 400 kg/m 3 of cement and W/C of 0.36 with 440 kg/m 3 of cement. Six SCC samples with the same characteristic as control samples except using treated domestic treated wastewater with different pHs. The results indicate that the workability of the SCC sample using the treated domestic wastewater in acidic pH was higher than the alkalinity state. Using treated domestic wastewater instead of tap water in SCC samples decreased compressive, flexural strength, and fracture toughness by less than10%. Also, carbonation,30-minute water adsorption, and capillary water adsorption of SCC samples increased when treated domestic wastewater was used. The compressive strength of SCC samples made with treated domestic wastewater in an acidic state is less than about 5% in an alkaline state. The energy dispersive spectroscopy and the scanning electron microscope images confirmed that using treated wastewater instead of tap water, in SCC samples, reduced compressive strength because the Ca/Si ratio increased when treated domestic wastewater was used. The SCC samples with treated domestic wastewater in the alkaline state have a lower Ca/Si ratio. The higher compressive strength belongs to concrete samples that used treated domestic wastewater in analkaline environment with a lower Ca/Si ratio.
Effect of Enamel Matrix Derivative and bone grafts on Alveolar Ridge Preservation in Bone Healing: A Systematic Review and Meta-Analysis
Authors: Li Cancan , Huang Haowen , Li Quan-Li , Cao Chris Ying 
Published: November 2022

Abstract
Objectives The purpose of this systematic review and meta-analysis was to compare the effectiveness of using bone grafts alone to alveolar ridge preservation (ARP) using a combination of enamel matrix derivative (EMD) and bone grafts.
Materials and Methods Searches were conducted via electronic approaches for articles published up to July 2022. Changes in buccal ridge height (BH), palatal ridge height (PH), ridge width (RW) and the fraction of new bone (%NB), residual graft (%RG), soft tissue matrix (%STM) were extracted from original articles for meta-analysis.
ResultsThis review covered four randomized controlled clinical trials. The weighted mean difference (WMD) of BH, PH, RW2 with RW1, and RW2 with RW3 were 0.32mm (95% CI = -0.03~0.67, P = 0.08), 0.00mm (95% CI = -0.23 ~ 0.23, P = 0.99), 0.01 mm (95% CI= -0.20~ 0.21, P = 0.95), and 0.09mm (95% CI = -0.17 ~ 0.35, P = 0.50), respectively. The WMD of %NB, %RG, and %STM were 22.48% (95% CI = 9.24~35.71, P = 0.0009), -5.62% (95% CI = -28.14~16.89, P = 0.62), and -11.90% (95% CI = -19.29~-5.73, P = 0.002), respectively.
Conclusion This review revealed that bone healing in sockets under ARP with EMD and bone grafts was better than that with bone grafts alone. There was significant difference in the %NB and %STM.
Clinical Relevance When compared to bone grafts alone, the use of EMD with bone grafts during ARP has supernumerary advantages for bone healing.
Can we predict neurological complications in patients with metastatic spinal tumors?
Authors: Shin Hee Tae , Bae Cho Rong , Lee Joon Hee , Chee Choong Guen , Jeon Jae Yong 
Published: November 2022

Abstract
Purpose: Thisstudy aimed to identify predictors of the occurrence and severity of neurological symptoms in patients with metastatic spinal tumor who still had noneurological symptoms.
Methods: We retrospectively examined patients with metastatic spinal tumor (regardless of tumor type) who visited the Department of Rehabilitation Medicine between 2017 and 2021. Using the patients’ magnetic resonance imaging and clinical data, weinvestigated whether epidural spinal cord compression (ESCC) scale, spinal instability neoplastic score (SINS), and pain character were related to the occurrence and severity of neurological symptoms within 1 year.
Results: Of the 70 included patients, 40 showedneurological symptoms, and 30 did not. Multivariable analysis showed that ESCC (2 or 3) (P = 0.002), SINS (P = 0.007), and radiating pain (P = 0.015) were associated with neurological complications. None of the factors was associated with neurological symptom severity. Notably, neurological symptoms progressed rapidly in patients with high ESCC (P = 0.003).
Conclusion: ESCC, SINS, and radiating pain were related to the occurrence of neurological symptoms, but not to severity. Only ESCC was associated with the rapid progression of neurological symptoms. This retrospective study provides useful insights in predicting a patient's functional prognosis and determining management using radiology and clinical data.