bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inference of genetic networks using random forests: performance improvement using a new variable importance measure
Authors: Kimura Shuhei , Takeda Yahiro , Tokuhisa Masato , Okada Mariko 
Published: July 2021

Abstract
Background: Among the various methods so far proposed for genetic network inference, this study focuses on the random-forest-based methods. Confidence values are assigned to all of the candidate regulations when taking the random-forest-based approach. To our knowledge, all of the random-forest-based methods make the assignments using the standard variable importance measure defined in tree-based machine learning techniques. We think however that this measure has drawbacks in the inference of genetic networks. Results: In this study we therefore propose an alternative measure, what we call ``the random-input variable importance measure,'' and design a new inference method that uses the proposed measure in place of the standard measure in the existing random-forest-based inference method. We show, through numerical experiments, that the use of the random-input variable importance measure improves the performance of the existing random-forest-based inference method by as much as 45.5% with respect to the area under the recall-precision curve (AURPC). Conclusion: This study proposed the random-input variable importance measure for the inference of genetic networks. The use of our measure improved the performance of the random-forest-based inference method. In this study, we checked the performance of the proposed measure only on several genetic network inference problems. However, the experimental results suggest that the proposed measure will work well in other applications of random forests.
Motion-in-depth effects on interceptive timing errors in an immersive enviornment
Authors: López-Moliner Joan , Malla Cristina 
Published: July 2021

Abstract
We often need to interact with targets that move along arbitrary trajectories in the 3D scene. In these situations, information of parameters like speed, time-to-contact, or motion direction is required to solve a broad class of timing tasks (e.g., shooting, or interception). There is a large body of literature addressing how we estimate different parameters when objects move both in the fronto-parallel plane and in depth. However, we do not know to which extent the timing of interceptive actions is affected when there is MID involved. Unlike previous studies that have looked at the timing of interceptive actions using constant distances and fronto-parallel motion, we here use immersive virtual reality to look at how differences in the above-mentioned variables influence timing errors in a shooting task performed in a 3D environment. Participants had to shoot at targets that moved following different angles of approach with respect to the observer when those reached designated shooting locations. We recorded the shooting time, the temporal and spatial errors and the head’s position and orientation in two conditions that differed in the interval between the shot and the interception of the target’s path. Results show a consistent change of the temporal error across approaching angles: the larger the angle, the earlier the error. Interestingly, we also found different error patterns within a given angle that depended on whether participants tracked the whole target’s trajectory or only its end-point. These differences had larger impact when the target moved in depth and are consistent with underestimating motion-in-depth in the periphery. We conclude that the strategy participants use to track the trajectory interacts with MID and affects timing performance.
Usefulness of Lung Ultrasound for early detection of Hospital-Acquired Pneumonia in Patients on Veno-Arterial Extra Corporeal Membrane Oxygenation.
Authors: Pasqueron Jean , Dureau Pauline , Arcile Gauthier , Duceau Baptiste , Hariri Geoffroy , Lepere Victoria , Lebreton Guillaume , Rouby Jean-Jacques , Bouglé Adrien 
Published: July 2021

Abstract
BACKGROUND: Hospital-Acquired Pneumonia (HAP) is the most common and severe complication in patients treated with veno-arterial extracorporeal membrane oxygenation (ECMO). HAP early detection is challenging but crucial for improving clinical outcomes. We conduct an observational study to assess whether Lung Ultrasound (LUS) improves detection of HAP in in patients treated with veno-arterial ECMO.METHODS: We conducted a single-center, prospective, observational study including adult patients receiving veno-arterial extracorporeal membrane oxygenation assistance that presented acute respiratory failure. Bedside LUS and chest radiography were performed at the time of inclusion when HAP was suspected. Then the patients were independently assessed for HAP including microbiological evidence. The sonographic features of HAP on veno-arterial ECMO were determined. We then compared the performance of the lung ultrasound simplified clinical pulmonary score (LUS-sCPIS), including bio-clinical data and the Doppler detection of intrapulmonary shunt, to the sCPIS, including bio-clinical and chest radiological data for detection of HAP. RESULTS: We included 70 patients, of which 44 (63%) were independently diagnosed with hospital-acquired pneumonia. LUS examination revealed that Doppler intrapulmonary shunt (P=0.0000043) and dynamic air bronchogram (P=0.00024) were the most frequent hospital-acquired pneumonia-related signs. The LUS-sCPIS (Area under the curve = 0.77) yielded significantly better results than the sCPIS (Area under the curve = 0.65; P = 0.004), while leukocyte count, temperature and chest radiology were not discriminating for the hospital-acquired pneumonia diagnosis.CONCLUSION: The diagnosis of hospital-acquired pneumonia is a daily challenge for the clinician managing patients on veno-arterial ECMO . Lung ultrasound is more powerful than chest radiography and can be a valuable aid as initial imaging modality for the diagnosis of pneumonia. Intrapulmonary shunt detected using color Doppler and dynamic air bronchogram appear to be particularly discriminating for the diagnosis of hospital-acquired pneumonia.CLINICAL TRIAL REGSITRATION: NA
Serum Glial Cell Line-derived Neurotrophic Factor (sGDNF) is a Novel Biomarker in Predicting Cirrhosis in Patients With Chronic Hepatitis B
Authors: Liu Cheng , Yang Guangyue , Zhuang Liping , Sun Tiantian , Yeo YeeHui , Tao Le , Zhang Wei , Ma Wenting , Wu Liu , Yang Zongguo , Yang Yanqin , Xue Dongying , Zhang Jie , Feng Rilu , Matthias Ebert , Dooley Steven , Seki Ekihiro , Liu Ping 
Published: July 2021

Abstract
We assessed the potential of glial cell line-derived neurotrophic factor (GDNF) as a useful biomarker to predict cirrhosis in chronic hepatitis B (CHB) patients.A total of 735 patients from two medical centers (385 CHB patients and 350 healthy controls) were included to determine the association of serum and tissue GDNF levels with biopsy-proven cirrhosis. The diagnostic accuracy of serum GDNF (sGDNF) was estimated and compared with other indices of cirrhosis. We showed significantly higher levels of sGDNF in CHB patients with fibrosis (28.4 pg/ml vs. 11.6 pg/ml in patients without) and patients with cirrhosis (33.8 pg/ml vs. 23.5 pg/ml in patients without). The areas under receiver operating curve (AUROCs) of sGDNF were 0.83 (95% confidence interval (CI): 0.80-0.87) for predicting liver fibrosis and 0.84 (95% CI: 0.79-0.89) for cirrhosis. Findings from serum protein level and hepatic mRNA expression were consistent. Using the best cutoff to predict cirrhosis, we categorized the patients into sGDNF-high and sGDNF-low groups. The sGDNF-high group had significantly larger Masson’s trichrome and reticulin staining-positive area, higher Scheuer score and METAVIR fibrosis stage (all p<0.001) but not steatosis. On multivariable regression, sGDNF was independently associated with cirrhosis with an odds ratio at 6.98 (95% CI: 1.10-17.94). Finally, we demonstrated that sGDNF outperformed AST to platelet ratio index, FIB-4, fibroscore, forn index, and fibrometer in differentiating F4 vs. F3.Using serum, tissue mRNA, and biopsy data, our study revealed a significant potential of sGDNF as a novel non-invasive biomarker for cirrhosis in CHB patients.
Determination of Time-to-ignition and Flaming Duration of Biomasses in a Muffle Furnace
Authors: Silva Diego Aleixo Aleixo , Carvalho Natália , Pires Ariane Aparecida Felix , Padilla Elias Ricardo Durango , Hansted Ana Larissa Santiago , Yamaji Fabio Minoru 
Published: July 2021

Abstract
Measuring the energy characteristics of solid biofuels can help to determine the most suitable species for combustion. The objective of this study is to propose a new methodology for determining the ignition time and flaming duration in lignocellulosic biomass. A muffle furnace was used, instead of an epiradiador, to measure the variables. The optimal oven temperature was defined according to the average time-to-ignition of biomasses in the literature. Ten biomasses were analyzed to obtain their high heating value, volatile matter, fixed carbon content, ash content, time-to-ignition, and flaming duration. The results showed a high correlation between the biomass volatile content, time-to-ignition, and flaming duration. In the literature, it is described that high levels of volatile materials accelerate the ignition of the material. Thus, the association between the volatile matter and the variables analyzed justifies the use of the muffle furnace methodology. Furthermore, biomasses with high levels of volatile matter have longer flaming durations than other solid biofuels.
Research Trends in Mobile Shopping Behavior: A Bibliometric Analysis
Authors: Saibaba S. 
Published: July 2021

Abstract
The mobile phone, with revolutionary smart capabilities, provided its users enormous benefits, especially the convenience of shopping through websites and applications from anywhere and anytime. There are several academic studies conducted to measure the adoption and usage behavior of consumers towards mobile shopping platforms, for more than a decade. However, the research on mobile shopping behavior had gained more attention only in the last few years. The purpose of this study is to conduct a detailed and systematic review of mobile shopping literature (from the consumer behavior perspective) and perform quantitative analysis, with the help of bibliometric analysis. The study examined 158 academic articles that was obtained from Scopus, to perform bibliometric analysis, and the analysis revealed that the research on mobile shopping behavior had gained more attention between 2012 and 2018. The paper identifies the key contributions in terms of the most productive journals, countries, institutions, papers, and authors in research on consumers’ mobile shopping behavior. The co-citation reference analysis, keyword co-occurence analysis and word cloud technique had been used, to identify the evolution of various themes focused in this area. This study’s results will make researchers and scholars to have better understanding about the knowledge structure of academic research on mobile shopping through bibliometrics and visualization techniques.
Acceptability of COVID-19 Vaccination among Healthcare Workers in Sudan: A Cross Sectional Survey
Authors: Khairy Amna , Mahgoob Esra , Nimir Mohammad , Ahmed Mohammed , Jubara Mawahib , Eltayeb Dalya , Ahmed Ayman 
Published: July 2021

Abstract
Introduction: Following emergency approval of COVID-19 vaccines, several studies have investigated COVID-19 vaccine acceptance and hesitancy especially among healthcare workers (HCWs). Nevertheless, the acceptability of the COVID-19 vaccine by HCWs in Sudan remains unclear. This study aims to investigate the acceptability of the COVID-19 vaccine and it’s determinants among the HCWs. Methods: A web-based cross sectional study design was used to study COVID-19 vaccine hesitancy and its associated determinants. The semi-structured questionnaire was distributed electronically, data collection took place from March-April 2021. Results: A total of 576 HCWs have responded to the survey with mean age of 35 years. The majority were females (53.3%), Medical Doctors (55.4%), and located in the capital state; Khartoum (76.0%). The absolute refusal of COVID-19 vaccine was expressed by 16% of the respondents while 57% were willing to get vaccinated. Males were twice to four times more likely to accept the vaccine. Lower acceptability of COVID-19 vaccine was significantly associated with the nursing profession (OR= 0.35, 95% CI:0.15-0.82, P<0.00), increased perceived harm from the vaccine (OR= 0.11, 95% CI: 0.05-0.23, P <0.00), lack of confidence in the source of vaccine (OR= 0.16, 95% CI:0.08-0.31, P=0.00), organizations and government supervising COVID-19 vaccination process ( OR=0.31, 95% CI:0.17-0.58 P=0.00). Conclusion: This study highlights a moderate level of COVID-19 vaccine acceptability by the HCWs in Sudan. Effective communication of correct, regular, up-to-date evidence on the safety and effectiveness of vaccines is crucial to building trust in vaccines. Special consideration should be in place to address vaccine hesitancy among female HCWs and the nursing profession.
Experimental Study and High-Efficiency Simulation of In-Plane Behavior of Composite Frame Slab
Authors: Pan Wen-Hao , Tao Mu-Xuan , Zhao Chuan-Hao , Ding Ran , Xu Li-Yan 
Published: July 2021

Abstract
Experimental and numerical studies were conducted to investigate the in-plane behavior of the steel–concrete composite frame slab under cyclic loads. In the experimental study, an in-plane loading test of a typical composite frame slab was designed by constraining its out-of-plane deformations. The test observations, the load–displacement relationship, and the shear and flexural deformation components were discussed to investigate the in-plane load resistant behavior and the failure mechanism of the slab. The experimental results demonstrated an evident shear cracking concentration behavior and a pinching hysteretic curve associated with a typical shear-tension failure mode of the composite frame slab. In the numerical study, a high-efficiency modeling scheme based on the multiple vertical line element model (MVLEM) and the fiber beam–column element was developed for the test specimen. Comparisons with the experimental results showed that the developed model predicted the overall load–displacement relationship, the relationships associated with the shear and flexural deformation components, and the failure mode with a reasonable level of accuracy.
A Descriptive Review of Epidemiology of COVID–19 in Smokers
Authors: Vijayan Rupalakshmi , Nagpal Shavy , Pradhananga Swostik , Mathew Anoopa , Thevuthasan Sindhu , Gara Sirisha , Chitamanni Pavani , Hassan Syed Adeel 
Published: July 2021

Coronavirus disease 2019 caused by SARS Cov 2, gains entry to bronchial epithelial cells by binding of the viral spike protein to angiotensin-converting enzyme-2 (ACE-2) receptors. We conducted a non - systematic review of databases with (English articles only), PubMed, Google Scholar using keywords like “COVID-19,” “SARS-CoV-2,” “novel coronavirus,” smoking,” “smokers,” “nicotine.” A total of 33 articles were reviewed. Smokers were 1.4 times more likely to have severe COVID-19 (RR=1.4 95% CI: 0.98-2.00), and 2.4 times more likely to require an ICU admission (RR= 2.4 CI: 1.43-4.04) when compared to non-smokers (n=926). Current smokers were less likely to experience an adverse outcome (OR: 0.42, 95% CI: 0.24–0.74), compared to former smokers. 22% of current smokers and 46% of former smokers had more severe complications. Current smokers had a case fatality rate of 38.5% (n=1790) and higher odds of mortality (OR= 1.25) especially males >65 years (OR=2.51). Public education about smoking cessation should be implemented along with standard guidelines to prevent disease progression.
Evaluation of a Commercial Mobile Health App for Depression and Anxiety (AbleTo Digital+): Retrospective Cohort Study
Authors: Anton Margaret T , Greenberger Heidi Mochari , Andreopoulos Evie , Pande Reena L 
Published: July 2021

Background
Digital solutions, such as web-based and mobile interventions, have the potential to streamline pathways to mental health services and improve access to mental health care. Although a growing number of randomized trials have established the efficacy of digital interventions for common mental health problems, less is known about the real-world impact of these tools. AbleTo Digital+, a commercially available mental health app for depression and anxiety, offers a unique opportunity to understand the clinical impact of such tools delivered in a real-world context.

Objective
The primary aim of this study is to examine the magnitude of change in depression and anxiety symptoms among individuals who used AbleTo Digital+ programs. The secondary aim is to evaluate Digital+ module completion, including the use of 1:1 coaching.

Methods
In this retrospective cohort study, we analyzed previously collected and permanently deidentified data from a consecutive cohort of 1896 adults who initiated using one of the three Digital+ eight-module programs (depression, generalized anxiety, or social anxiety) between January 1 and June 30, 2020. Depression, generalized anxiety, and social anxiety symptoms were assessed within each program using the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7, and the Social Phobia Inventory, respectively. Linear mixed effects models were built to assess the association between module completion and symptom change among users who completed at least four modules and had at least mild baseline symptom elevations, controlling for age, gender, and baseline symptom severity. Digital+ use, including module completion, 1:1 coaching calls, and in-app coach messaging, was also evaluated.

Results
Significant effects were observed among depression (Cohen d=1.5), generalized anxiety (Cohen d=1.2), and social anxiety (Cohen d=1.0) program participants who completed at least four modules and had mild baseline elevations (n=470). Associations between module completion and change in depression (β=−1.2; P<.001), generalized anxiety (β=−1.1; P<.001), and social anxiety (β=−2.4; P<.001) symptom scores retained significance with covariate adjustment. Participants completed an average of 2.6 (SD 2.7) modules. The average total length of app use was 52.2 (SD 83.5) days. Approximately two-thirds of the users engaged in at least 1 coaching call (66.82%, 1267/1896) or in-app text messaging (66.09%, 1253/1896). Participants who completed at least four modules participated in significantly more coaching calls per module (mean 1.1, SD 0.7) than users who completed fewer than four modules (mean 1.0, SD 1.2; t1407=−2.1; P=.03).

Conclusions
This study demonstrated that AbleTo Digital+ users experienced significant reductions in depression, generalized anxiety, and social anxiety symptoms throughout the program.
Diferença, simulacro e pensamento: a proposta do método de dramatização (Difference, simulacrum and thought: the proposal of the dramatization method)
Authors: Lobo Amanda Souza Ávila , Lobo Danilo Moraes , Gusmão Milene de Cássia Silveira 
Published: July 2021

Este artigo se configura como uma tentativa de apresentar a perspectiva do pensar subjacente à proposta do método de dramatização de Gilles Deleuze, que se faz por uma valoração positiva da ideia de diferença e do simulacro. Para tanto, apresentaremos, rapidamente, as considerações platônicas em torno da passagem do tempo e da permanência, atreladas à teoria das formas que sustentam a busca pela verdade no método do pensamento representativo, bem como as críticas a esse modelo, realizadas pelo filósofo Gilles Deleuze em discussão entre simulacro e filosofia antiga, contida no apêndice da obra “Lógica do sentido” (1969), com sua proposta de reversão do platonismo para, então, adentrarmos no texto “O método de dramatização” (1967) e, por conseguinte, extrair dele a apresentação de uma nova forma de pensar que, a partir da proposta de valorização da diferença pura, rompe com uma vontade de verdade pautada em fundamentos transcendentes e morais e apresenta uma condição de pensamento imanente à existência, valorando o corpo, seus encontros e suas experimentações.
PENGEMBANGAN SISTEM INFORMASI PELAYANAN SURAT MENYURAT (SIRA) BERBASIS WEBSITE DENGAN MENGGUNAKAN FRAMEWORK CODEIGNITER
Authors: Syaebani Ahmad , Tyasmala Dita Via , Maulani Rahma , Utami Erina Dwi , Wahyuni Sri Ngudi 
Published: July 2021

Layanan surat menyurat merupakan hal penting dalam proses penyelesaian administrasi di masyarakat. Kelurahan Mendawai merupakan salah satu kelurahan yang terletak di Jln. Dewan Amir Husin Hamzah Nomor: 22, Kelurahan Mendawai, Kecamatan Arut Selatan, Kabupaten Kotawaringin Barat, Provinsi Kalimantan Tengah dan saat ini membutuhkan sistem untuk mempermudah layanan surat menyurat guna memberikan layanan prima kepada masyarakat. Selama ini, layanan administasi dan surat menyurat dilakukan dengan sistem konvensional, yaitu dengan langsung datang kelokasi. Warga harus menemui ketua RT meminta persetujuan permohonan surat, kemudian datang ke kantor kelurahan untuk mengajukan permohonan surat yang dibutuhkan tersebut. Cara tersebut dirasa kurang efektif dan kurang efisien karena membutuhkan waktu yang cukup lama untuk melakukan pemrosesan surat. Pada penelitian ini akan diberikan solusi bagaimana pengembangan sistem informasi surat menyurat berbasis website. Pada sistem informasi ini melayani 14 jenis surat yang dapat diajukan dan 7 jenis surat download template. Sistem informasi ini hanya dapat diakses oleh warga, ketua RT, kepala desa maupun admin pengelola website yang datanya telah tercatat dalam database. Sistem ini dibuat menggunakan Bahasa Pemrograman PHP dengan Framework CodeIgniter, dan MySQL sebagai Database Management System. Dalam melakukan pengujian sistem ini, penulis menggunakan metode white box testing dan System Usability Scale (SUS). Hasil yang diperoleh dari penelitian ini adalah Sistem Informasi Surat Menyurat (SIRA) berbasis Website yang akan mempermudah pelayanan surat menyurat di Kelurahan Mendawai.