bluuebunny/crossref_metadata_2025_split huggingface dataset:
Senior High School Students' Perceptions on the Effectiveness of Online English Learning during Covid-19 Pandemic: A Survey Research
Authors: Anggyta Heyba Fatwa , Rofiq Annur , Puspa Areta 
Published: August 2024

Nowadays, the Internet is undoubtedly indispensable and has become a part in almost everyone’s life and there are 175.4 million internet users in Indonesia based on data from survey conducted by an organization which called We Are Social in 2020 (Krishnapatria, 2020). Therefore, one of the utilizations of the internet is the development of online learning and one of massive implementation of online learning occurred during pandemic. Thus, This research was aimed to reveal students’ perception towards English online learning in their school during pandemic time. This research applied survey research design and the data that have been collected then analyzed by applying Descriptive Statistics in the form of percentage and nonparametric Wilcoxon signed rank. It found out that students’ perception towards English online learning tend to be not better compared with face-to-face learning.
Visualization of Median Nerve Entrapment After Reduction of an Elbow Fracture Dislocation Using 3-Dimensional Magnetic Resonance Imaging
Authors: Gross Preston W. , Meza Blake C. , Nimura Clare A. , Sneag Darryl B. , Trehan Samir K. , Fabricant Peter D. 
Published: August 2024

Case:
A 10-year-old girl presented after closed reduction of an elbow fracture dislocation. She demonstrated intact vascularity but a dense median nerve palsy. Preoperative magnetic resonance neurography (MRN) precisely mapped the median nerve entrapped within the medial epicondylar fracture. Intraoperatively, the median nerve was freed preceding reduction and fracture fixation. Postoperatively, neurological symptoms completely resolved, and she regained full elbow function.

Conclusion:
Median nerve injury can present without associated vascular injury. In this case, MRN was helpful in preoperatively illustrating the spatial relationship between the median nerve and the medial epicondyle.
The Principal's Strategy in Madrasah Development at MTs MIC Samarinda
Authors: Sukmawati Sukmawati , Rusdi Rusdi 
Published: August 2024

Banyaknya penghargaan yang diterima oleh MTs MIC Samarinda tentunya tidak dapat dipisahkan dari strategi kepala sekolah, sehingga tujuan penelitian ini adalah untuk mengetahui strategi kepala sekolah dalam pengembangan madrasah dan pelaksanaannya. Penelitian ini berjenis kualitatif dengan pendekatan deskriptif. Pengumpulan data menggunakan teknik observasi, wawancara, dan dokumentasi. Analisis data menggunakan model Miles dan Huberman dengan teknik kondensasi data, penyajian data, dan penarikan kesimpulan. Sumber data primer dalam penelitian ini adalah kepala sekolah, tiga orang wakil kepala sekolah (bidang kurikulum, kesiswaan, dan sarana-prasarana), serta dua orang guru. Hasil yang diperoleh terkait dengan strategi kepala sekolah, yaitu: (1) Analisis dan pemberian skala prioritas sarana-prasarana. (2) Pengembangan, pelatihan, dan perumusan kurikulum. (3) Mengontrol jalannya program dan evaluasi. (4) Rekrutmen guru menyesuaikan kualifikasi dan pemberian pelatihan setiap tahun. (5) Peningkatan jumlah siswa dan pengelolaan sumber pendapatan dengan baik

The many achievements achieved by MTs MIC Samarinda certainly could not be separated from the principal's strategy, so the purpose of this research was to determine the principal's strategy in madrasah development and its implementation. This research was qualitative type with descriptive approach. Data Collection using observation, interview, and documentation techniques. Data analysis using Miles and Huberman models with data condensation techniques, data presentation, and conclusion drawing. The primary data sources in this research are school principals, three vice principals (for curriculum, student affairs, and infrastructure), also two teachers. The results obtained from this research are related to the principal's strategy carried out, which: (1) Analyze and scale infrastructure priorities. (2) Curriculum development, training, and formulation. (3) Control of running programs and evaluation. (4) Recruitment of teachers according to qualifications and given training every year. (5) The increase in the student population is accompanied by the management of sources of income
Preventing Knowledge Loss in Gojek by Assessing the Company’s Readiness to Implement Knowledge Management
Authors: Saptono Savitha , Hendarman Achmad Fajar 
Published: August 2024

The objective of this research would be to understand the readiness level of Gojek in introducing knowledge management in the company , understand the strength and areas of improvement for Gojek’s knowledge management, and discover the tools that can be used to implement knowledge management in Gojek. The main method used to get primary data is through the quantitative method and is collected via questionnaire, while the qualitative data used to further enrich the main data collected is through forum group discussions. The results showed that Gojek is still at the expansion phase, where the efforts of knowledge management is present in several business units and the company see’s the benefits of knowledge sharing. Gojek could further develop itself by using people as its accelerator and become champions of knowledge. Having a committed people team would further create a knowledge sharing culture that could be followed by the whole pod of the company. In order for the employee to have a single source of knowledge, it is important to create a knowledge management tool which can be done by leveraging the existing portal that Gojek already has for employees: OneGojek. What needs to be added is the ability to store employee knowledge in order to make information accessible for all employees.
Developing Web GIS Based Campus Navigation: A Case of Wachemo University, Ethiopia
Authors: Kebede Tariku , Dessalegn Adamu 
Published: August 2024

Abstract

Currently, the campus area is gradually expanding with the increasing number of university students. Consequently, it is difﬁcult for freshmen or visiting staff to ﬁnd a speciﬁc building at the campus. The aim of the study was to Develop Campus Web GIS Navigation System of the study area by using Geospatial technology. This research is mainly design to carry out the campus navigation of study area to provide better understanding of campus environments to all the stake holders like students, technical support staffs, academic staff, administrative support staffs and unfamiliar. Not only this but also used for integrating up to date information into campus navigation that will be used by concerned authorities to make any developmental plans and implement policies and programs. The general procedures to create web map navigation application are Geo-referencing Image, digitization, Road Network Analysis, Overlay Analysis and finally, a Web GIS Based Campus Navigation System has developed. The main activity of the system application is the map activity. It displays the campus map of the Wachemo University. The user can zoom and scroll this map to get his/her desired places. The building map is the basic layer of this screen. The end user can access by using thislink:https://wcu-webmap.github.io/Web-Map-of-WCU/
Adherence to time-restricted eating during pregnancy and effect on glycemic control in people with increased risk of gestational diabetes – a feasibility randomized controlled trial
Authors: Skarstad Hanna M.S. , Haganes Kamilla L. , Sujan Md Abu Jafar , Gellein Trine M. , Johansen Mariell K. , Salvesen Kjell Å. , Hawley John A. , Moholdt Trine 
Published: August 2024

Abstract

Time-restricted eating (TRE) is a nutritional intervention that confines the daily time-window for energy intake. TRE reduces fasting glucose concentrations in non-pregnant individuals, but whether this eating protocol is feasible and effective for glycemic control in pregnancy is unknown. The aim of this randomized controlled trial was to investigate the adherence to and effect of a 5-week TRE intervention (maximum 10 h daily eating window) among pregnant individuals at risk of gestational diabetes mellitus (GDM), compared with a usual-care control group. Participants underwent 2-h oral glucose tolerance tests and estimation of body composition, before and after the intervention. Interstitial glucose levels were continuously measured, and adherence rates and ratings of hunger were recorded daily. Thirty of 32 participants completed the trial. Participants allocated to TRE reduced their daily eating window from 12.3 (SD 1.3) to 9.9 (SD 1.0) h, but TRE did not affect glycemic measures, blood pressure, or body composition, compared with the control group. TRE increased hunger levels in the evening, but not in the morning, and induced only small changes in dietary intake. Adhering to a 5-week TRE intervention was feasible for pregnant individuals with increased risk of GDM but had no effect on cardiometabolic outcomes.
Systematic review of wearables assessing medication effect on motor function and symptoms in Parkinson’s disease
Authors: Packer Emma , Debelle Heloise , Bailey Harry , Rehman Rana Zia Ur , Yarnall Alison , Rochester Lynn , Alcock Lisa , Din Silvia Del 
Published: August 2024

Abstract

To improve motor function and symptoms, people with Parkinson’s (PwP) take dopaminergic medication. Wearable technology (WT) can provide objective and continuous insights of medication effects in PwP. This review aims to identify previous research which uses WT to quantify the effect of medication on motor function and symptoms in PwP. Nine databases were searched between January 2000-2023; sixty-eight studies were included. Study quality was assessed using Downs and Black quality appraisal tool. PRISMA guidelines were followed. Across the included studies, medication effect on 13 motor functions/symptoms was assessed, with medication improving gait speed, step length, tremor, dyskinesia, and bradykinesia, but impairing balance. Most studies were performed in controlled environments, exploring short-term medication effects (e.g., one hour), and fifty-one different WTs were placed across twenty locations on the body. To facilitate more granular insights for PwP, future research should explore continuous effects of medication in real-world settings and define gold-standard protocols.Trial Registration:PROSPERO 2022 CRD42022310018
A Seamless Gbps Hybrid FSO/THz Communication System with Intelligent Switching: Experiment and Analysis
Authors: Han Chong , Gao Weijun , Liu Ke , Chen Zhi 
Published: August 2024

Abstract

The advancement of hybrid free-space optical/radio frequency (FSO/RF) communication holds promise in improving link reliability and resilience against diverse weather conditions. However, the limited data rates of conventional RF bands, typically in the range of several Mbps, restrict the performance of high-speed wireless systems. To address this challenge, we replace the low-rate RF link with a Gbps-level Terahertz (THz) communication link, resulting in a hybrid FSO/THz (140GHz/1550nm) communication system. Specifically, in the experiment with a 1m*1m*1m fog chamber with variable visibility, a seamless data transmission of 10Gbps(FSO)/1.6Gbps(THz) over a 20m distance with no outage is demonstrated. Moreover, to facilitate efficient decision-making between FSO and THz links, we propose an intelligent switching strategy based on a deep neural network, implemented on a field-programmable gate arrays (FPGAs) using the PYNQ framework.
FPGAs offer a compact and energy-efficient solution, making them suitable for deploying machine learning models in resource-constrained environments. This approach ensures efficient link selection and maintains continuous connectivity without any outage.
Fusion of automatically learned rhythm and morphology features matches diagnostic criteria and enhances AI explainability
Authors: Hammer Alexander , Goettling Marc , Malberg Hagen , Linke Axel , Richter Sergio , Mangner Norman , Schmidt Martin 
Published: August 2024

Abstract

Deep learning (DL) has demonstrated high accuracy in ECG analysis but lacks in explainability. Although explanations can be estimated using explainable artificial intelligence, their causality has not yet been sufficiently investigated. We present a generalizable method for extensively validating the DL explanations’ causality by relating them to clinically relevant ECG characteristics. We applied xECGArch, combining a long-term and a short-term model, for atrial fibrillation (AF) detection in 1,521 single-lead ECGs, achieving an accuracy of 96.3%. The explanations match the diagnostic criteria of AF regarding rhythm and morphology. While the short-term model emphasizes morphology features such as P and fibrillatory waves, the long-term model focuses on QRS complexes. Moreover, the long-term model explanations strongly correlate with rhythm (\(p<0.001\)). For improved clinical interpretability, we introduce a fused representation (xFuseMap), highlighting relevant explanations for rhythm and morphology. We thus demonstrate an explainable and interpretable DL application with potential for providing diagnostic support.
The Z-Ring in Multicellular Cyanobacteria has a dynamic pearl necklace arrangement
Authors: Vásquez Mónica , Olivares Jorge , Molina Derly Andrade , González-Crespo Annia , Silva-Guzmán Marcial , Conesa José , Cordero Maria Luisa , Monasterio Octavio , Valpuesta José 
Published: August 2024

Abstract

Z-ring formation by FtsZ in the midcell is a key event in bacterial cell division. Results obtained with different super-resolution techniques have shown that the Z-ring is discontinuous, while live cell imaging has shown that FtsZ moves by treadmilling. In multicellular cyanobacteria, there have been no studies on the structure or dynamics of the Z-ring. In this study, we generated fully segregant mutants that express FtsZ fusions with fluorescent tags under the control of the native promoter in Anabaena sp., in which the Z-ring resembles a pearl necklace of dynamic arrangement with mobilization of FtsZ on the seconds scale. Division along filaments is asynchronous; however, manipulating the light conditions improves cell synchronization. Using correlative microscopy, we demonstrate that the DNA remains in the septum during constriction, therefore, the nucleoid occlusion mechanism does not apply here. To the best of our knowledge, this is the first live imaging of Z-ring behavior using fully segregated FtsZ mutants in a multicellular bacterial system.
Investigating the effect of ondansetron in reducing myoclonic movements caused by intravenous administration of etomidate
Authors: Alipour Mohammad , Firuzabadi Seyed Javad Purafzali 
Published: August 2024

Abstract

Background: Etomidate is a short-acting intravenous anesthetic used to induce general anesthesia. However, myoclonus caused by the administration of etomidate is seen in 50-80% of untreated patients. Due to the high prevalence of myoclonus following etomidate injection, the present study aimed to investigate the effect of ondansetron in reducing myoclonic movements caused by the intravenous administration of etomidate.
Method: The current research was a double-blind clinical study conducted on 72 adult patients who were candidates for elective eye surgery and had visited Khatam Al-Anbia Eye Hospital affiliated to Mashhad University of Medical Sciences between November to December 2022. Before sampling, the designed proposal was approved by the Ethics Committee of Mashhad University of Medical Sciences. Candidate patients for elective eye surgery with ASA class I-II were selected using the available sampling method. Prior to study entrance the study protocol was fully explained and an informed consent was obtained from each participant.
The patients were randomly assigned into two groups; 4 mg (IV) ondansetron was prescribed for the study group and 5 cc of normal saline (IV) was administered for the placebo group. The mentioned drugs were administered as a pre-medication 180 seconds before etomidate induction with a dosage of 0.3 mg/kg. After examining and recording the induced myoclonus, a full dose of narcotics and muscle relaxants was prescribed for each patient.
Results: Each group consisted of 36 patients who did not differ significantly in terms of age, gender, comorbidities and ASA class. The mean time of myoclonus in the placebo and ondansetron groups was 43.48±53.17 and 14.07±5.75, respectively, which was significantly shorter in the ondansetron group (Z=-5.19, P<0.005). The severity (χ2=14.62, P<0.005) and incidence (χ2=25.89, P<0.005) of myoclonus were also significantly lower in the ondansetron group compared to placebo.
Conclusion: The administration of ondansetron in combination with etomidate can have a remarkable effect on reducing the duration and severity of myoclonus induced by etomidate.
Nurse management of low complexity problems in primary care emergency departments: A non randomised controlled trial
Authors: COROMINAS Jordi ESTARLICH , ABRIL Neus SOLER , CHUECOS Anna CASANELLAS , CORZO Sara BECERRA , BIANCO Andrea Sofia , MONSERRAT Pere TORÁN , GARCÍA-SIERRA Rosa 
Published: August 2024

Abstract

Background
Health systems must implement strategies to adapt to the social changes caused by high demand in primary care. Since 2009, the Catalan Institute of Health has been expanding the Nursing Management of Demand programme through which nursing autonomously addresses low-complexity health problems. This study aims to analyse whether this programme is a factor in improving the efficiency and quality of care in a primary care emergency centre.
Method: non-randomized controlled experimental study that contrasted the implementation of the programme applied to an experimental group treated by nursing versus a control group treated by medicine. The study was approved on 14 July 2022 by the Research Ethics Committee of the Jordi Gol University Institute following the guidelines of the TREND declaration.
Results: A total of 312 patients were included in the study, all of whom came to the emergency centre with five types of low-complexity health problems. 156 were attended by nursing and 156 were attended by medicine. The experimental group were seen in 15.1 minutes and the control group in 33.25 minutes. There was no significant difference in the assessment of the quality of care received and there were no differences in the number of consultations for the same problem. Prescription by nurses was lower, with an average of 1.79 medicines per participant versus 2.26 medicines prescribed by doctors.
Conclusion: The results of the study suggest that Nursing Management of Demand was a factor in improving the efficiency and quality of care in the emergency centre. Nursing resolution capacity, after applying algorithms, offered quality care, with fewer medicine prescriptions and good patient satisfaction without increasing the number of consultations due to the same problem.
Trial registration: The protocol of the current study was registered at Clinicaltrials.gov, with identification NCT06298240.
Predictive Modelling of 6-Fluoro-3-Hydroxy-2-Pyrazine Carboxamide Drug Delivery Efficacy in Pegylated Bionanocomposite Through First Principles Simulation
Authors: Adekoya Oluwasegun Chijioke , Adekoya Gbolahan Joseph , Liu Wanjun , Sadiku Emmanuel Rotimi , Hamam Yskandar 
Published: August 2024

Abstract

This research investigates the drug delivery efficacy for 6-fluoro-3-hydroxy-2-pyrazinecarboxamide (Favipiravir) in PEGylated bionanocomposites using a predictive modelling approach. The study focuses on understanding the interaction mechanisms between Favipiravir (FAV) and polyethylene glycol (PEG)/graphene oxide (GO) (GO/PEG) nanosheets, across various environmental conditions. To evaluate drug delivery efficacy, the following key parameters were calculated: adsorption energies ranging from-202.61 to -3.46 kcal/mol indicating the strength of binding between the drug and nanocarrier; net charge transfer values between -0.222 to 0.373 electrons, reflecting the degree of charge migration; release times spanning a wide range from 3.4×10−14 to 2.38×10132 ms, which impacts the drug release kinetics; and thermodynamic parameters such as changes in Gibbs free energy (ΔG) between 183.34 and 16.95 kcal/mol, and changes in enthalpy (ΔH) between -203.64 and 0.55 kcal/mol, providing insights into the favorability and spontaneity of the drug-nanocarrier interactions. The results show that incorporating PEG onto GO nanosheets enhances adsorption energies and binding affinities for Favipiravir. Environmental factors and PEGylation influence the charge transfer and non-covalent interactions. PEGylation leads to faster Favipiravir release kinetics. Favorable thermodynamics are observed, especially in aqueous environments. Electronic properties, quantum descriptors, and theoretical spectra provide further insights into molecular interactions.
HyDD: Hybrid Defect Detection Framework for Inspection using X-ray CT Data
Authors: Chahid Abderrazak , Khan Md. Jamiul Alam , A.Gabbar Hossam 
Published: August 2024

Abstract

In most manufacturing and assembly industries, such as automotive, aerospace, and nuclear power plants, it is critical to inspect the integrity of the used parts and components to avoid possible system failure for safety and quality control reasons. In addition, an unexpected failure causes extra costs due to the additional costs of maintenance, reparations, or even service delivery delays. Therefore, building an automated inspection system using industrial testing techniques such as Non-Destructive Testing (NDT) using X-ray computerized tomography (CT) is highly recommended. This paper proposes a Hybrid Defect Detection (HyDD) to automate the inspection process and improve defect detection accuracy. The proposed framework investigates incorporating deep learning and image processing techniques to enhance inspection performance and build an adaptive inspection system. The proposed method is validated using a real X-ray CT dataset with different types of defect scenarios. The results show that the proposed method could detect most defects and achieve up to 88% of the average detection rate. The proposed framework could be extended to defect-type recognition using object detection or semantic segmentation deep learning models.