bluuebunny/crossref_metadata_2025_split huggingface dataset:
PELATIHAN PENINGKATAN KOMPETENSI PRA UJI KOMPETENSI KEJURUAN (UKK) JURUSAN TEKNIK OTOMOTIF KEPADA SISWA SMK RIGOMASI BONTANG
Authors: Yani Ahmad , Anoi Yano Hurung , Triyatno Joko 
Published: September 2021

Pengabdian Masyarakat merupakan salah satu dari Tridharma Perguruan Tinggi yang wajib dilakukan oleh dosen. Uji Kompetensi Keahlian (UKK) adalah bagian dari intervensi Pemerintah dalam menjamin mutu pendidikan pada satuan pendidikan Sekolah Menengah Kejuruan. Pelaksanaan UKK bertujuan untuk mengukur pencapaian kompetensi siswa pada level tertentu sesuai kompetensi Keahlian yang ditempuh selama masa pembelajaran di SMK. Tujuan kegiatan pengabdian masyarakat ini adalah untuk mendukung persiapan siswa SMK Rigomasi pada Ujian Kompetensi Keahlian teknik otomotif yang setiap tahun diadakan dan meningkatkan pencapaian kompetensi siswa SMK Rigomasi. Berdasarkan hasil kegiatan dan pembahasan bahwa terdapat peningkatan pengetahuan dan keahlian tune up dan perbaikan engine management system yang cukup signifikan setelah melewati pelatihan yang ditandai dengan hasil perbandingan antara nilai pretest dengan post test. Dari hasil pengolahan data dapat disimpulkan bahwa nilai ujian post test maksimum sebesar 8,97.
Pengaruh Social Influence Terhadap Behavioral Intention Penggunaan Marketplace Pada UMKM Di Kota Bandung
Authors: Nurhalimah Nurhalimah 
Published: September 2021

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh social influence (Pengaruh Sosial) terhadap behavioral intentions (minat pemanfaatan) pengguna Marketplace di Kota Bandung. Penelitian ini menggunakan teori Model Unified Theory of Acceptance and use of Technology (UTAUT). Metode pengumpulan data yang digunakan dalam penelitian ini dilakukan dengan cara menyebarkan kuesioner pada 400 orang UMKM yang telah menggunakan aplikasi Marketplace. Penelitian ini menggunakan pendekatan Kuantitatif dengan medote asosiatif kasual yaitu metode yang digunakan untuk mengetahui ada dan tidaknya pengaruh variabel bebas terhadap variabel terikat, teknik analisis data menggunakan Metode statistic Multivariate Structural Equation Model (SEM). Berdasarkan penelitian ini variabel dependen dipengaruhi oleh variabel independen. Hasil penelitian ini menunjukan Pengaruh Social Influence terhadap Behavioral Intention penggunaan Marketplace pada UMKM di Kota Bandung yaitu sebesar 0.897 dan dari semua variabel independen mempunyai pengaruh secara simultan terhadap variabel dependen sebesar 173.596. Pengguna Marketplace perlu lebih meningkatkan sosialisasi kepada masyarakat khususnya UMKM dan memberikan pemahaman bahwa dengan menggunakn Marketplace dapat lebih meningkatkan bisnis mereka.
Chlorpyrifos Disrupts Acetylcholine Metabolism Across Model Blood-Brain Barrier
Authors: Miller Dusty R. , McClain Ethan S. , Dodds James N. , Balinski Andrzej , May Jody C. , McLean John A. , Cliffel David E. 
Published: September 2021

Despite the significant progress in both scientific understanding and regulations, the safety of agricultural pesticides continues to be called into question. The need for complementary analytics to identify dysregulation events associated with chemical exposure and leverage this information to predict biological responses remains. Here, we present a platform that combines a model organ-on-chip neurovascular unit (NVU) with targeted mass spectrometry (MS) and electrochemical analysis to assess the impact of organophosphate (OP) exposure on blood-brain barrier (BBB) function. Using the NVU to simulate exposure, an escalating dose of the organophosphate chlorpyrifos (CPF) was administered. With up to 10 μM, neither CPF nor its metabolites were detected across the BBB (limit of quantitation 0.1 µM). At 30 µM CPF and above, targeted MS detected the main urinary metabolite, trichloropyridinol (TCP), across the BBB (0.025 µM) and no other metabolites. In the vascular chamber where CPF was directly applied, two primary metabolites of CPF, TCP and diethylthiophosphate (DETP), were both detected (0.1–5.7 µM). In a second experiment, a constant dose of 10 µM CPF was administered to the NVU, and though neither CPF nor its metabolites were detected across the BBB after 24 h, electrochemical analysis detected increases in acetylcholine levels on both sides of the BBB (up to 24.8 ± 3.4 µM) and these levels remained high over the course of treatment. In the vascular chamber where CPF was directly applied, only TCP was detected (ranging from 0.06 μM at 2 h to 0.19 μM at 24 h). These results provide chemical evidence of the substantial disruption induced by this widely used commercial pesticide. This work reinforces previously observed OP metabolism and mechanisms of impact, validates the use of the NVU for OP toxicology testing, and provides a model platform for analyzing these organotypic systems.
Conjugated Conductive Polymer Materials and its Applications: A Mini-Review
Authors: Lu Huizhi , Li Xunlai , Lei Qingquan 
Published: September 2021

Since their discovery 50 years ago, conjugated conducting polymers have received increasing attention owing to their unique conductive properties and potential applications in energy storage, sensors, coatings, and electronic devices such as organic field-effect transistors, photovoltaic cells, and light-emitting devices. Recently, these materials have played a key role in providing a more comfortable environment for humans. Consequently, the development of novel, high-performance conjugated conductive materials is crucial. In this mini-review, the progress of conjugated conductive materials in various applications and the relationship between the chemical structures and their performances is reviewed. This can aid in the molecular design and development of novel high-performance conjugated polymer materials.
Identification and Phenotypic Characterization of Hsp90 Phosphorylation Sites That Modulate Virulence Traits in the Major Human Fungal Pathogen Candida albicans
Authors: Alaalm Leenah , Crunden Julia L. , Butcher Mark , Obst Ulrike , Whealy Ryann , Williamson Carolyn E. , O’Brien Heath E. , Schaffitzel Christiane , Ramage Gordon , Spencer James , Diezmann Stephanie 
Published: September 2021

The highly conserved, ubiquitous molecular chaperone Hsp90 is a key regulator of cellular proteostasis and environmental stress responses. In human pathogenic fungi, which kill more than 1.6 million patients each year worldwide, Hsp90 governs cellular morphogenesis, drug resistance, and virulence. Yet, our understanding of the regulatory mechanisms governing fungal Hsp90 function remains sparse. Post-translational modifications are powerful components of nature’s toolbox to regulate protein abundance and function. Phosphorylation in particular is critical in many cellular signaling pathways and errant phosphorylation can have dire consequences for the cell. In the case of Hsp90, phosphorylation affects its stability and governs its interactions with co-chaperones and clients. Thereby modulating the cell’s ability to cope with environmental stress. Candida albicans, one of the leading human fungal pathogens, causes ~750,000 life-threatening invasive infections worldwide with unacceptably high mortality rates. Yet, it remains unknown if and how Hsp90 phosphorylation affects C. albicans virulence traits. Here, we show that phosphorylation of Hsp90 is critical for expression of virulence traits. We combined proteomics, molecular evolution analyses and structural modeling with molecular biology to characterize the role of Hsp90 phosphorylation in this non-model pathogen. We demonstrated that phosphorylation negatively affects key virulence traits, such as the thermal stress response, morphogenesis, and drug susceptibility. Our results provide the first record of a specific Hsp90 phosphorylation site acting as modulator of fungal virulence. Post-translational modifications of Hsp90 could prove valuable in future exploitations as antifungal drug targets.
Thrombus of the Aorta and SARS-CoV-2 Infection: Cause or Trigger?
Authors: Goudot Guillaume , Amrane Mourad , El Ayoubi Rida , Bel Alain , Gendron Nicolas , Khider Lina , Durivage Andréanne , Smadja David M. , Messas Emmanuel , Achouh Paul , Mirault Tristan 
Published: September 2021

Objective: Coronavirus disease 19 is a well-established cause of rare arterial thrombosis. Nevertheless, the exact mechanism of arterial thrombosis remains to be elucidated. We herein report the case of a large floating thrombus of the aortic arch, its surgical management and histological analysis.Case: A 65-year-old patient presented to the emergency department with a suspected stroke. He was non-smoker, but presented cardiovascular risk factors, namely hypertension, type 2 diabetes and hyperlipidaemia. A computed tomography of the aorta revealed a large floating thrombus of the aortic arch, at the base of the brachiocephalic trunk, suspected to be the etiology of stroke. Therapeutic anticoagulation was immediately started. The decision was made to perform an open aortic replacement surgery because of the symptomatic thromboembolic event with recent cerebral infarction and the potential harmfulness of the thrombus due to its size. A mobile thrombus was observed at the base of the brachiocephalic trunk by echocardiography. It was attached to a small area of the upper aortic wall and had an irregular surface. Histology revealed a platelet-rich thrombus lying on an aortic atherosclerotic plaque without pronounced inflammation. No plaque ulceration was present but endothelial cell desquamation was observed consistent with plaque erosion.Conclusion: In our case, there was a thrombus lying on an atherosclerotic plaque with intact thick fibrous cap, but associated with a plaque erosion mechanism. The thrombus formation appeared more likely to relate to a very localized endothelial injury.
The Use of Maximum Entropy to Enhance Wave Intensity Analysis: An Application to Coronary Arteries in Hypertrophic Obstructive Cardiomyopathy
Authors: Francis Nadine , Selwanos Peter P. , Yacoub Magdi H. , Parker Kim H. 
Published: September 2021

Background: Wave intensity analysis is useful for analyzing coronary hemodynamics. Much of its clinical application involves the identification of waves indicated by peaks in the wave intensity and relating their presence or absence to different cardiovascular events. However, the analysis of wave intensity peaks can be problematic because of the associated noise in the measurements. This study shows how wave intensity analysis can be enhanced by using a Maximum Entropy Method (MEM).Methods: We introduce a MEM to differentiate between “peaks” and “background” in wave intensity waveforms. We apply the method to the wave intensity waveforms measured in the left anterior descending coronary artery from 10 Hypertrophic Obstructive Cardiomyopathy (HOCM) and 11 Controls with normal cardiac function. We propose a naming convention for the significant waves and compare them across the cohorts.Results: Using a MEM enhances wave intensity analysis by identifying twice as many significant waves as previous studies. The results are robust when MEM is applied to the log transformed wave intensity data and when all of the measured data are used. Comparing waves across cohorts, we suggest that the absence of a forward expansion wave in HOCM can be taken as an indication of HOCM. Our results also indicate that the backward compression waves in HOCM are significantly larger than in Controls; unlike the forward compression waves where the wave energy in Controls is significantly higher than in HOCM. Comparing the smaller secondary waves revealed by MEM, we find some waves that are present in the majority of Controls and absent in almost all HOCM, and other waves that are present in some HOCM patients but entirely absent in Controls. This suggests some diagnostic utility in the clinical measurement of these waves, which can be a positive sign of HOCM or a subgroup with a particular pathology.Conclusion: The MEM enhances wave intensity analysis by identifying many more significant waves. The method is novel and can be applied to wave intensity analysis in all arteries. As an example, we show how it can be useful in the clinical study of hemodynamics in the coronary arteries in HOCM.
Association of Night-Time Heart Rate With Ventricular Tachyarrhythmias, Appropriate and Inappropriate Implantable Cardioverter-Defibrillator Shocks
Authors: Sun Xuerong , Zhou Bin , Chen Keping , Hua Wei , Su Yangang , Xu Wei , Wang Fang , Fan Xiaohan , Niu Hongxia , Dai Yan , Liu Zhimin , Zhao Shuang , Zhang Shu 
Published: September 2021

Background: Night-time heart rate (HR) is expected to reflect more accurately the cardiac autonomic function of modulating cardiovascular activity. Few studies have been conducted on the predictive values of night-time HR in relation to cardioverter-defibrillator therapies.Aims: To explore the associations of night-time HR with the ventricular tachyarrhythmias (VTAs), appropriate and inappropriate implantable cardioverter-defibrillator (ICD) shocks.Methods: Patients from the SUMMIT registry receiving ICD or cardiac resynchronization therapy with defibrillator (CRT-D) implantation were retrospectively analyzed using archived home monitoring data. Night-time HR was recorded from 2:00 am to 6:00 am during the first 30 to 60 days after implantation. VTA events and ICD shocks were identified using the intracardiac electrograms by two independent physicians. Restricted cubic splines and smooth curve fitting were conducted to address the non-linear associations between night-time HR and adjusted hazards for clinical outcomes.Results: Over a mean follow-up duration of 55.8 ± 22.7 months, 187 deaths were observed among 730 patients. VTAs, appropriate and inappropriate ICD shocks were observed in 422 (57.8%), 293 (40.1%), and 72 (10.0%) patients, respectively. Apparent U-shaped non-linear associations of night-time HR with VTAs (P for non-linearity = 0.007), appropriate ICD shocks (P for non-linearity = 0.003) and inappropriate ICD shocks (P for non-linearity = 0.014) were detected. When night-time HR was beyond 60 bpm, every 1 bpm increase in night-time HR could result in 3.2, 3.3, and 4.9% higher risks of VTAs and appropriate and inappropriate ICD shocks, respectively; when night-time HR was lower than 60 bpm, every 1 bpm increase in night-time HR could result in 6.0 and 10.7% lower risks of appropriate and inappropriate ICD shocks. Compared to night-time HR of ≤ 50 or ≥70 bpm, night-time HR of 50–70 bpm was associated with 24.9, 30.2, 63.5, and 31.5% reduced incidences of VTA events, appropriate ICD shocks, inappropriate ICD shocks, and all-cause mortality, respectively.Conclusion: Apparent non-linear associations of night-time HR with VTAs and ICD shocks were detected. An increasing incidence of VTAs and ICD shocks was observed at both low and high levels of night-time HR. Night-time HR of 50–70 bpm might be the optimal therapeutics target for the management of ICD/CRT-D recipients.
Computer Vision for Continuous Bedside Pharmacological Data Extraction: A Novel Application of Artificial Intelligence for Clinical Data Recording and Biomedical Research
Authors: Froese Logan , Dian Joshua , Batson Carleen , Gomez Alwyn , Sainbhi Amanjyot Singh , Unger Bertram , Zeiler Frederick A. 
Published: September 2021

Introduction: As real time data processing is integrated with medical care for traumatic brain injury (TBI) patients, there is a requirement for devices to have digital output. However, there are still many devices that fail to have the required hardware to export real time data into an acceptable digital format or in a continuously updating manner. This is particularly the case for many intravenous pumps and older technological systems. Such accurate and digital real time data integration within TBI care and other fields is critical as we move towards digitizing healthcare information and integrating clinical data streams to improve bedside care. We propose to address this gap in technology by building a system that employs Optical Character Recognition through computer vision, using real time images from a pump monitor to extract the desired real time information.Methods: Using freely available software and readily available technology, we built a script that extracts real time images from a medication pump and then processes them using Optical Character Recognition to create digital text from the image. This text was then transferred to an ICM + real-time monitoring software in parallel with other retrieved physiological data.Results: The prototype that was built works effectively for our device, with source code openly available to interested end-users. However, future work is required for a more universal application of such a system.Conclusion: Advances here can improve medical information collection in the clinical environment, eliminating human error with bedside charting, and aid in data integration for biomedical research where many complex data sets can be seamlessly integrated digitally. Our design demonstrates a simple adaptation of current technology to help with this integration.
Spatially and Temporally Resolved Monitoring of Glacial Lake Changes in Alps During the Recent Two Decades
Authors: Ma Jingsong , Song Chunqiao , Wang Yanjun 
Published: September 2021

Climate warming is intensifying the melting of glaciers and the growth of glacial lakes in the Alps, which has a profound impact on the management of water resources and high-mountain hydropower in this region. However, the research on the spatial distribution and temporal evolution of the Alps glacial lakes of various types still lacks a holistic view. In this study, we developed an inventory of Alps glacial lakes of different types and then obtained the annual areas of these lakes from 2000 to 2019 using JRC Global Surface Water and Global Land Analysis and Discovery data at a resolution of 30 m. A total of 498 glacial lakes (&gt;0.01 km2) with the net area of 33.77 ± 6.94 km2 were identified in the Alps in 2019 and are mainly distributed in the western and central Alps. These Alps glacial lakes, with the area ranging 0.01–1.59 km2, are generally dominated by small-sized ones. The comparison of lakes of different types indicated that ice-uncontacted lakes are dominant in number and area, accounting for 59.4 and 58.4%, respectively. In terms of the elevation distribution, almost half of the lakes are concentrated at the altitude of 2,250–2,750 m (a.s.l.). Meanwhile, the mean altitude of small glacial lakes is higher than that of large lakes. The distribution of ice-contacted lakes and supraglacial lakes were more concentrated, and the mean altitude was higher. During the study period, the number, area, and water volume of glacial lakes were increasing, but the expansion varied between different periods. The changing trends of the glacial lake area and volume were consistent and presents in three stages, as the glacial lake expanded rapidly in the first 5 years and in the last 7 years and remained relatively stable between 2005 and 2012. The number and area of glacier-fed lakes increased rapidly, while the non-glacier-fed lakes were relatively stable. The area change rate of supraglacial lakes was the largest (+47%). This study provides a spatially-complete and temporally-consecutive picture of glacial lake changes in the Alps and can be greatly helpful for future research on climate-glacier-lake interactions, glacial lake outburst floods, and freshwater resources in this region.
Autonomy and Community in Learning Languages Online: A Critical Autoethnography of Teaching and Learning in COVID-19 Confinement During 2020
Authors: Dutton Jacqueline 
Published: September 2021

During COVID-19 confinement in 2020, there has been a massive increase in learning languages online via a variety of apps, short courses, and as part of higher education on-campus degrees converted to online learning. This study argues that attention to the balance of autonomy and community is vital to successful language learning online. An initial exploration of recent scholarship on autonomy and community in learning languages online validates this approach to evaluating the situation. The specific phenomenon of online language teaching and learning during 2020 at the University of Melbourne is then presented as an autoethnographic case study and analyzed in the context of this research. In 2020, the author participated in online language learning experiences from several different perspectives. As Head of Languages, she led development of a new undergraduate certificate in languages in response to an Australian Federal Government initiative to offer significant subsidies for online language certificates in 2020. As a keen language learner, she enrolled in one of these certificates to study Italian. As a French lecturer, she converted Matters of Taste—French Eating Cultures, a highly interactive and sensory oriented on-campus subject for advanced French students, to online delivery. The autoethnographic work undertaken in this article aims to examine critically the author’s experiences of teaching and learning in 2020, assessing the advantages and disadvantages of learning languages online from positions of both teacher and learner. These experiences are triangulated with the academic and administrative leadership and coordination required to produce a schema that relates intentions to outcomes in this particularly challenging context. This study is intended to offer insights that may help language educators reflect on their various roles during COVID-19 confinement. In conclusion, this study demonstrates that negotiating the balance between autonomy and community is (still) the key to learning languages online during COVID-19 confinement in 2020.