bluuebunny/crossref_metadata_2025_split huggingface dataset:
Expression and Prognostic Impact of FZDs in Pancreatic Adenocarcinoma
Authors: Li Yang , Liu Zirong , Zhang Yamin 
Published: October 2020

Abstract
Background: Despite the high number of researches on pancreatic adenocarcinoma (PAAD) over past decades, little progress had been made due to lack of effective treatment regimens. we aimed to investigate the expression level, mutation, and clinical significance of the Frizzled (FZD) family in PAAD so as to establish a sufficient scientific evidence for clinical decisions and risk management.Methods: PAAD samples were extracted from The Cancer Genome Atlas (TCGA). Oncomine, Gene expression profiling interactive analysis (GEPIA), Human Protein Atlas (HPA), Kaplan-Meier Plotter, cBioPortal, LinkedOmics, DAVID database, and R software (x64 3.6.2) were used to comprehensively analyze the roles of FZDs. p-value below to 0.05 was considered as significant difference.Results: In total, 179 PAAD tissues and 171 paracancerous tissues were included. The expression levels of FZD1, 2, 6, 7, and 8 were higher in PAAD tissues than those in normal pancreatic tissue. The higher the expression levels of FZD2 and FZD7, the higher the clinical stage. PAAD patients with high expression of FZD6 had shorter overall survival (OS) than those with low expression, indicating that FZD6 could be a potential prognostic and predictive marker in PAAD. PAAD patients with high expression of FZD8 had shorter recurrence free survival (RFS) than those with low expression, indicating that FZD8 could be a potential therapeutic target in PAAD. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that FZDs played a critical role in the Wnt signaling pathway, which was further confirmation that FZDs were transmembrane receptors of Wnt signaling pathway. Conclusions: Our results strongly indicated a crucial role of the FZD family in PAAD. FZD3, 4, 5, 6, and 9 could be potential prognostic and predictive markers, and FZD4 and 8 might function as potential therapeutic targets in PAAD.
Mapping Brain-Behavior Space Relationships Along the Psychosis Spectrum
Authors: Ji Jie Lisa , Helmer Markus , Fonteneau Clara , Burt Joshua , Tamayo Zailyn , Demsar Jure , Adkinson Brendan , Savic Aleksandar , Preller Katrin , Moujaes Flora , Vollenweider Franz , Martin William , Repovs Grega , Murray John , Anticevic Alan 
Published: October 2020

Abstract
Difficulties in advancing effective patient-specific therapies for psychiatric disorders highlights a need to develop a neurobiologically-grounded, quantitatively stable mapping between neural and symptom variation. This gap is particularly acute for psychosis-spectrum disorders (PSD). Here, in a sample of 436 cross-diagnostic PSD patients, we derived and replicated a data-driven dimensionality-reduced symptom space across hallmark psychopathology symptoms and cognitive deficits, which was predictive at the single patient level. In turn, these data-reduced symptom axes mapped onto distinct and replicable univariate brain maps. Critically, we found that multivariate brain-behavior mapping techniques (e.g. canonical correlation analysis) did not show stable results. Instead, we show that a univariate brain-behavioral space (BBS) mapping can resolve stable individualized prediction. Finally, we show a proof-of-principle framework for relating personalized BBS metrics with molecular targets via serotonin and glutamate receptor manipulations and gene expression maps. Collectively, these results highlight a stable and data-driven BBS mapping across PSD, which offers an actionable quantitative path that can be iteratively optimized for personalized clinical biomarker endpoints.
Data Analysis of Ambient Intelligence in a Healthcare Simulation System: A Pilot Study in High-end Health Screening Process Improvement
Authors: Chen Ming-Shu , Wu Kun-Chih , Tsai Yu-Ling , Jiang Bernard C. 
Published: October 2020

Abstract
This study aimed to reduce the total waiting time for high-end health screening processes. The subjects of this study were recruited from a health screening center in a tertiary hospital in northern Taiwan from September 2016 to February 2017 and a total of 2,342 high-end customers were collected. Arena software was used to simulate the examination process. We presented the simulation results of three different policies and compared those results to the current state. The first policy presented a predetermined proportion of customer types, in which the total waiting time was increased from 72.29 to 83.04 mins. The second policy was based on increased bottleneck resources and provided significant improvement, with the total waiting time was decreased from 72.29 to 28.39 mins. However, this policy also caused the cost to increase dramatically, while lowering the utilization of this exam station. The third policy was adjusting customer arrival times, which reduced the waiting time significantly, as the total waiting time was reduced from 72.29 to 55.02 mins. Although the wait time of this policy was slightly longer than that of the second policy, the additional cost was much lower than the second plan. Scheduled arrival intervals could help to reduce customer waiting time in the health screening department base on FIFO rule. The simulation model of this study could be utilized and the parameters could be modified to comply with different health examination centers to improve process and service quality.
Effect of Health Transformation Plan on the Public Hospitals Performance Indicators; A Case Study in Iran
Authors: Ranjbar Mohammad , Jafari Hassan , Baziyar Mohammad , Pakdaman Mohsen , Pirasteh Vahid 
Published: October 2020

Abstract
IntroductionHealth systems need constant changes and reforms in their structure in order to adapt to changing conditions and meet the needs of society. One of the fundamental changes in the health system of Iran is the health transformation plan (HTP), the effects of which must be examined from different aspects. Therefore, the purpose of this study is to investigate the effect of HTP on the performance indicators of public hospitals in the context of Yazd. MethodsThe present cross-sectional study was carried out in all public hospitals in Yazd. Six performance indicators were examined on a monthly basis and in two time periods of 12 months before and after the implementation of HTP. Data were analyzed using SPSS software program version 22, the paired T-test and the Interrupted Time Series model. FindingsThe implementation of the health transformation plan did not have a significant effect on the bed rotation distance, average length of stay and the ratio of surgical operations to bed indicators (p> 0.05). However, it had a statistically significant effect on the level and trend of mortality and hospitalization rates (p <0.05). Moreover, the implementation of HTP had a significant effect on the level of the bed occupancy indicator (P <0.05), but did not have a significant effect on the trend of this indicator (p> 0.05).ConclusionBased on the research findings, all the selected indicators changed to some extent after the implementation of HTP, which in a way showed the effect of this plan on the performance of hospitals. Therefore, the continuation of such a plan, provided that sustainable financial resources are planned and human and physical resources are organized properly, can be an important step towards achieving universal health coverage and increasing justice in access to services.
A Deep-learning Algorithm With the Real World Validation for Detecting Acute Myocardial Infarction
Authors: Liu Wen-Cheng , Lin Chin-Sheng , Tsai Chien-Sung , Tsao Tien-Ping , Cheng Cheng-Chung , Liou Jun-Ting , Lin Wei-Shiang , Cheng Shu-Meng , Lou Yu-Sheng , Lee Chia-Cheng , LIN CHIN 
Published: October 2020

Abstract
BackgroundThe initial detection and diagnosis of ST-segment or non-ST-segment elevation myocardial infarction (STEMI or NSTEMI) definitely rely on a 12-lead electrocardiogram (ECG). Delay or misdiagnosis is not unusual by subjective interpretation. Our aim is to develop a DLM as a diagnostic support tool to detect MI based on a 12-lead ECG and to evaluate the performance of this model.MethodsThis study included 1,051 ECGs from 737 coronary angiography (CAG)-validated STEMI patients, 697 ECGs from 287 CAG-validated NSTEMI patients, and 140,336 not-MI ECGs from 76,775 patients at emergency departments. DLM was trained and validated for the performance using 80% and 20% of the ECGs, respectively. A human-machine competition was conducted. The area under the receiver operating characteristic curve (AUC), sensitivity, and specificity were used to evaluate the performance of DLM and experts. STEMI versus not-STEMI, and MI versus not-MI were evaluated by DLM.ResultsThe AUCs of DLM for identifying STEMI and MI were 0.976 and 0.944 in the human-machine competition, respectively, which were significantly better than those of our best clinicians. In the real world setting, DLM presented with AUC of 0.995/0.916 with corresponding sensitivities of 96.9%/77.0%, and specificities of 96.2%/92.9% in the identification of STEMI and MI, respectively. Furthermore, DLM demonstrated sufficient diagnostic capacity for STEMI without the aid of troponin I (TnI) (AUC= 0.996) with corresponding sensitivity and specificity of 98.4% and 96.9%. The AUC of combined DLM and the first recorded TnI for the detection of NSTEMI were increased to 0.978 with corresponding sensitivity and specificity of 91.6% and 96.7%, which was better than that of DLM (0.877) or TnI (0.949) alone. ConclusionsDLM may serve as a diagnostic decision tool to assist intensive or emergency medical system-based networks and frontline physicians in identifying STEMI and NSTEMI in a timely and precise manner to prevent delay or misdiagnosis, and thereby to facilitate subsequent reperfusion therapy.
Space Use and Seasonal Movement of Isolated Mountain Goat Populations in the North Cascades, WA
Authors: Sevigny Jennifer , Summers Amanda , George-Wirtz Emily 
Published: October 2020

Abstract
Background: The spatial distribution and seasonal movement patterns of isolated populations of mountain goats (Oreamnos americanus) in the North Cascade range of Washington State is not fully understood. Determining harvest potential in these populations is challenging without a clear understanding of spatiotemporal movement, space use, and spatial overlap. Mountain goat populations in the North Cascades are fragmented and many have declined considerably from historic estimates. Identification of harvestable populations requires a clear understanding of population size, distribution, and movement. We investigated the population trends and spatial distribution of mountain goats in the Boulder River North Harvest Area in Boulder River Wilderness of Washington State. Methods: We reviewed recent mountain goat population estimates and used Global Positioning System collar data to determine year-round and seasonal home range distributions, spatial overlap within these ranges, and proximity of mountain goats to roads and trails.Results: We found 2 populations of mountain goats inhabiting the Whitehorse and Three Fingers Mountains in the Boulder River North Harvest Area. These 2 populations were spatially distinct and did not intermix during our study period. We also found mountain goats using exclusive areas seasonally on Whitehorse Peak that may represent separate or isolated groups. The Whitehorse population appeared to be more vulnerable to harvest than Three Fingers based on its proximity to roads and trails. Conclusions and Management Recommendations: This study provides space use and movement information on mountain goats in the North Cascades Range that can be used to improve harvest management of fragmented and isolated populations. Our results indicate that a re-evaluation of harvest level, harvest unit boundary, and monitoring strategy may be warranted for the Boulder River North mountain goat harvest area.
Preparation of Gold Nanoplates Using Ortho Carbonyl Compounds as Capping Agents for Electrochemical Sensing of Lead Ions
Authors: Jiang Xinde , Ma Jianye , Jiang Guixian , Xu Manqing , Huang Xueping , Gao Guiqing , Dai Xin 
Published: October 2020

Abstract
In this study, gold nanoplates were synthesized using plant molecules (gallic acid) following a kinetic control mode. The growth of nanoplates is mainly due to the specific adsorption of capping agents on certain crystal facets. Through systematical characterizations, it is found that the distance between two oxygen atoms in ortho carbonyl compounds matches well with the lattice spacing of gold (111) facets exactly, which is beneficial to the formation of twin seeds and further the growth of plate-like gold nanoparticles. The gold nanoplates on glassy carbon electrode shows a remarkably improved electrochemical sensing activity of lead ions compared to the bare glassy carbon electrode or spherical gold nanoparticle modified electrode. The modified electrode is expected to be used in the detection of lead ion concentration in heavy metal wastewater.
Ibuprofen and NSAIDs use in COVID-19 infected patients is Not Associated with Worse Outcomes
Authors: Esba Laila Carolina Abu , Alqahtani Rahaf Ali , Thomas Abin , Shamas Nour , Alswaidan Lolowa , Mardawi Gahdah 
Published: October 2020

Abstract
Background: Ibuprofen disappeared off the pharmacy shelves during the COVID-19 pandemic. However, a while later circulating information was that ibuprofen should be avoided as it could worsen COVID-19 symptoms. The aim of our study was to assess the association of NSAID acute and chronic use with worse COVID-19 outcomes.Methods: We did a prospective cohort study between April 12 and June 1, 2020. Adults consecutively diagnosed with COVID-19 were included. Information on NSAID use was collected through a telephone questionnaire and patients were followed up for COVID-19 infection outcomes, including death, admission, severity, time to clinical improvement, oxygen requirement, and length of stay.Findings: Ibuprofen acute use was not associated with a greater risk of mortality relative to nonusers (adjusted hazard ratio (HR) 0·632 [95% CI, 0·073- 5·441; P=0·6758]). NSIAD chronic use was also not associated with greater risk of mortality (adjusted HR, 0·492 [95% CI, 0·178 - 1·362; P= 0·1721]). Ibuprofen acute use was not associated with a higher risk of admission compared to non-NSAID users (adjusted odds ratio OR, 1·271; 95% CI, 0·548 - 2·953). NSAID users did not have a significantly longer time to clinical improvement, or length of stay.Interpretation: Ibuprofen and other NSAID acute or chronic use were not associated with worse COVID-19 disease outcomes.
New challenges to mental health needs in response to the COVID-19 outbreak in India: Insights from a pilot survey
Authors: Ray Suman 
Published: October 2020

Abstract
With the pandemic rapidly rising at the global level and so its impact on the mental health, a pilot survey (online) using DASS Scale 21 was conducted to know how COVID-19 has affected mental health status of general population in India. The results showed that anxiety and stress were prevalent from mild to moderate level and depression in mild level. As the uncertain future due to COVID-19 is becoming dominant, it is high time to prepare ourselves so as to prevent the second wave of mental health crises post COVID-19 pandemic.
PENGARUH KEPEMIMPINAN KEPALA SEKOLAH, KOMPETENSI PEDAGOGIK DAN KOMPETENSI PROFESIONAL GURU TERHADAP KINERJA GURU SMK BISNIS MANAJEMEN DI KABUPATEN KLATEN
Authors: Nurmalasari Ita 
Published: October 2020

<p>ABSTRAK</p><p>Penelitian ini bertujuan untuk mengetahui: (1) Pengaruh kompetensi profesional terhadap kinerja guru akuntansi SMK bisnis manajemen di Kabupaten Klaten, dan (2) Pengaruh kepemimpinan kepala sekolah, kompetensi pedagogik dan kompetensi profesional guru secara bersama-sama terhadap kinerja guru akuntansi SMK bisnis manajemen di Kabupaten Klaten. Penelitian ini merupakan jenis penelitian ex-post facto dengan pendekatan kuantitatif. Populasi dalam penelitian ini yaitu seluruh guru akuntansi SMK bisnis manajemen di Kabupaten Klaten sejumlah 73 guru dari 15 sekolah. Instrumen pengumpulan data yang digunakan yaitu kuesioner. Teknik analisis data menggunakan teknik analisis data deskriptif dan analisis regresi ganda. Hasil penelitian ini yaitu sebagai berikut. (1) Tidak ada pengaruh kompetensi profesional terhadap kinerja guru akunansi SMK bisnis manajemen di Kabupaten (β =0,643, sig = 0,522). (2) Ada pengaruh kepemimpinan kepala sekolah, kompetensi pedagogik, dan kompetensi profesional guru secara bersama-sama terhadap kinerja guru SMK bisnis manajemen di Kabupaten Klaten (F = 33,584, sig = 0,000).</p><p> </p><p>ABSTRACT</p><p>This study aims at knowing: (1) The influence of proffesional competence on accounting teacher’s performance at vocation high school of business management; and (2) the influence of school leadership, pedagogical and professional competences of teacher’s on accounting teacher’s performance at vocational high school of bussines management in klaten district. This research was ex-post facto quantitative approach. The population of this research simultaneously as sample was all of accounting teachers in Klaten District which involved 73 teachers and 15 schools. The data were collected by questionnaires. Analyzing data referred to descriptive analysis and multiple regression analysis. The results of this study are as follows. (1) There is no influence of Professional Competence on accounting teacher’s performance at vocational high school of bussines management in Klaten district (t = 0.643, sig = 0.522). (2) There is an influence of school leadership, pedagogical and professional competences on accounting teacher’s performance at vocational high school of bussines management in Klaten district (F = 33.584, sig = 0.000).</p>
PLURALISME AGAMA DI INDONESIA (Tantangan dan Peluang Bagi Keutuhan Bangsa)
Authors: S.Ag Julita Lestari 
Published: October 2020

<p align="center">Abstrak</p><p>Keberagaman agama di satu sisi menjadikan perbedaan yang cenderung melahirkan perpecahan di kalangan umat beragama. Di sisi lain, keberagaman agama merupakan pemersatu umat karena saling menghargai perbedaan yang ada. Pluralisme yang melahirkan dua sisi ini menjadikan penting untuk dikaji. Indonesia merupakan salah satu negara yang menganut tidak hanya satu agama namun terdiri bermacam-macam agama, yaitu Islam, Kristen, Budha, Kong Hu chu, Hindudan agama-agama lainnya. Kepluralismean agama di Indonesia ini memiliki tantangan dan peluang tersendiri bagi keutuhan bangsa. Tantangan terbesar Indonesia sebagai negara pluralisme adalah cenderung menimbulkan konflik. Dikarenakan setiap agama melakukan <em>truth claim</em> terhadap agamanya sendiri dan agama lain dianggap salah. Adapun peluang pluralisme agama di Indonesia bagi keutuhan bangsa yaitu lahirnya sikap toleran sesama umat karena mampu menghargai keragaman beragama.</p><p align="center">Abstract</p><p>Religious diversity on the one hand makes a difference that tends to give birth to divisions among religious communities. On the other hand, religious diversity is a unifying people because they respect each other's differences. Pluralism which gives birth to two sides makes it important to study. Indonesia is one country that adheres to not only one religion but consists of various religions, namely Islam, Christianity, Buddhism, Confucianism, Hindudan and other religions. Religious pluralism in Indonesia has its own challenges and opportunities for national integrity. Indonesia's biggest challenge as a state of pluralism is that it tends to cause conflict. Because every religion makes truth claims against its own religion and other religions are considered wrong. The opportunity for religious pluralism in Indonesia for the integrity of the nation is the birth of a tolerant attitude among people because it is able to appreciate religious diversity.</p><p> </p><p> </p>
Real-time monitoring of water level and storage dynamics of irrigation tank using IoT
Authors: Krishnaveni Muthiah , Praveen Kumar S. K. , Arul Muthusamy E. , Kowshick J. , Arunya K. G. 
Published: October 2020

Abstract
The internet of things (IoT), an emerging technological marvel, consists of a group of physical objects such as vehicles, machines and sensors to monitor and transfer data over the internet with much less human to machine interaction. It relies on a host of technologies like application programming interfaces (API), which in turn, help the devices to get connected with the internet. Efficient irrigation tank management requires a strong database on continuous water level dynamics for irrigation decision-making. Real-time tank water level monitoring is possible through an IoT device by integrating sensors and microcontroller that can send the water level data to the cloud. Google sheet is used to store the water level data that can be viewed using a web application as well as a mobile application. The contour map of the study tank is used to develop the stage (water level) vs volume curve. The volume of water present in the tank at any time can be arrived at for any tank water level using the above curve. The developed device can provide real-time continuous water level data with low cost and simple infrastructure, thus aiding tank water management.
Mainstreaming climate change into water policies: a case study from Burkina Faso
Authors: Basson Fiacre , Yira Yacouba , Dayamba Djibril Sidzabda , Dipama Jean Marie , Zougmore François 
Published: October 2020

Abstract
Climate change (CC) in Burkina Faso is projected to materialize by, among other things, an increased frequency and intensity of extreme weather events. Not properly addressing the impacts of these projected CCs on water resources will yield enormous economic and social cost and compromise the country's development objectives. However, Burkina Faso's National Water Strategy (NWS) had not sufficiently addressed CC impacts, and recently development partners have started an initiative to help fill these gaps. The current study aims at documenting lessons learnt from this multi-partner process of integrating CC adaptation (CCA) into the NWS. The integration process was done using the climate proofing tool, an approach based on evidence of the vulnerability of water resources to CC. It consisted of (i) an initial assessment of the integration of CCA into the NWS and (ii) a formulation of a set of actions to reduce the vulnerability of water resources to CC. Lessons drawn from the CCA integration process are also presented.