bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the Pattern of Poisoning in Patients Admitted to a Large Teaching Hospital in Iran
Authors: Nazari Elham , Nazari Somayeh , Ebnehoseini Zahra , Akhavan Reza , Tabesh Hamed 
Published: August 2022

Introduction: Poisoning is one of the most common causes of hospital admission. This study aims at 1- to determine the characteristics of poisoning, 2-to discover the relationship of the patients’ characteristics, and 3- to suggest a pattern of characteristics of poisoning.
Methods: The current cross-sectional study was conducted at Edalatian Emergency Center in 2016. Characteristics of patients with poisoning were extracted from the hospital information system (HIS) in a large teaching hospital. Gender, type of admission, the priority of admission, type of referral, cause of referral, insurance organization, age, and month of referral were the variables extracted. Data were analyzed using descriptive and analytical statistical methods in SPSS software version 21.
Results: Of the 15204 patients included in this analysis, 55.2% of the patients were men. Also, 68.5% had nonurgent triage level, and the cause of the 60.7% of the poisoning was medication overdose. Most of the patients (86.2%) aged from 20 to 30 years with the most frequent referral in May, June, July, and August. According to logistic regression results, opium, toxin, alcohol and medication poisoning had the highest odds of being at urgent triage level (OR= 1.609, 1.559, 1.358, 1.218 respectively) and the food poisoning was the lowest cause of poisoning ( OR=0.018). Triage level was found to be significantly different in months of the year (P<0.001). But, a routine trend was not observed.
Conclusion: The use of preventive measures from the occurrence of poisoning is necessary for the country because this problem occurs due to the lack of awareness about its causative factors. Regarding the more prevalence of intentional poisoning, the necessary steps are needed to be taken to identify the Psychological causes and prevent suicide in at-risk groups.
Optimal Control Solution for Rabies Disease Transmission within Free-ranging Dog
Authors: Eti Dwi Wiraningsih  , Z. Jamaludin  , A. P. Ramadhan  , Jamaludin M. Misbach 
Published: August 2022

This paper considers deterministic model for transmission dynamics of rabies virus in the free-ranging dog population. The stability of system near by Disease Free Equilibrium point is analized using Next Generation Matrix. The effect of vaccination in susceptible dog population is considered on the model. We then present the effective reproduction number in the present of the vaccination. Further we developed the formula to obtain the optimal vaccination to eliminate the endemic equilibrium, via the Pontryagin Maximum Principle. Numerical example are presented to show the properties of the optimal control solution.
Management of Chronic Transtibial Articulocutaneous Fistula After All-Inside ACL Reconstruction
Authors: Boushnak Mohammad O. , Moussa Mohamad K. , Alayane Ali , Mirzoyan Hamlet , Hajjar Samer 
Published: August 2022

Case:
A 29-year-old man presented 2 years after anterior cruciate ligament (ACL) reconstruction by autologous semitendinosus graft and suspensory fixation on both tibial and femoral sides for chronic drainage of clear fluid from an anteromedial wound at the site of the tibial tunnel with a visible sinus tract. Magnetic resonance imaging showed a transtibial articulocutaneous fistula. The patient was treated by tunnel debridement, impaction bone grafting, bioresorbable interference screw, and cement to fully seal the tunnel. The surgery was successful with good clinical outcomes for recurrence and knee stability.

Conclusion:
Communicating transtibial articulocutaneous fistulas are rare complications after ACL reconstruction. Tunnel debridement and filling with graft material affected by an interference screw seem to be an effective method for dealing with such a clinical scenario.
Designing forecasting assistant of the Bitcoin price based on deep learning using the market sentiment analysis and multiple feature extraction
Authors: Fakharchian Sina 
Published: August 2022

Abstract
Nowadays, the issue of fluctuations in the price of digital Bitcoin currency has a striking impact on the profit or loss of people, international relations, and trade. Accordingly, designing a model that can take into account the various significant factors for predicting the Bitcoin price with the highest accuracy is essential. Hence, the current paper presents several Bitcoin price prediction models based on Convolutional Neural Network (CNN) and Long-Short-Term Memory (LSTM) using market sentiment and multiple feature extraction. In the proposed models, several parameters, including Twitter data, news headlines, news content, Google Trends, Bitcoin-based stock, and finance, are employed based on deep learning to make a more accurate prediction. Besides, the proposed model analyzes the Valence Aware Dictionary and Sentiment Reasoner (VADER) sentiments to examine the latest news of the market and cryptocurrencies. According to the various inputs and analyses of this study, several effective feature selection methods, including mutual information regression, Linear Regression, correlation-based, and a combination of the feature selection models, are exploited to predict the price of Bitcoin. Finally, a careful comparison is made between the proposed models in terms of some performance criteria like Mean Square Error (MSE), Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Median Absolute Error (MedAE), and coefficient of determination (R2). The obtained results indicate that the proposed hybrid model based on sentiments analysis and combined feature selection with MSE value of 0.001 and R2 value of 0.98 provides better estimations with more minor errors regarding Bitcoin price. This proposed model can also be employed as an individual assistant for more informed trading decisions associated with Bitcoin.
A Deep Learning based Intrusion Detection Approach for MANET
Authors: Meddeb Rahma , Jemili Farah , Triki Bayrem , Korbaa Ouajdi 
Published: August 2022

Abstract
Defining efficient Intrusion Detection Systems (IDSs) have gained a lot of attractions due to the massive increase in different sorts of attacks in Mobile Ad-Hoc Network (MANET). The Mobile Data Analysis (MDA) and Network Security Monitoring put under seruting the traffic patterns on a mobile network to select the most suspicious part. It contains the rules or the patterns which extracted precise network traffic and identified a malicious node on the network. In this paper, we introduced a Stacked auto-encoder approach for enhancing Intrusion Detection Systems; Stacked autoencoder based approach for MANET (Stacked AE-IDS) is a neural network approach in Machine Learning (ML) for reducing correlation. It attempts to model relevant features with high-level and to get a good representation features from Data Correlation by using multiple processing layers. Stacked AE-IDS method tries to reproduce our input where the dimensionality of the input is the same as the of the output with a reducing correlation. Our proposed Deep Learning-based IDS consists of two phases. The output of the auto-encoder is used as the input of the Deep Neural network (DNN) classifier (DNN-IDS). It focuses on Denial of Services (DoS) attack within labeled datasets which are available for intrusion detection and employs the most potential attacks impact routing services in Mobile Network.
Validity and Reliability of the Japanese Version of the Victorian Institute of Sports Assessment for Patellar Tendinopathy (VISA-P-J): A prospective cohort study
Authors: Togashi Ishin , Nagao Masashi , Nishio Hirofumi , Nozu Shojiro , Shiota Yuki , Takazawa Yuji 
Published: August 2022

Abstract
Background: This study aimed to translate, adapt, and test the psychometric properties of the Japanese version of the Victorian Institute of sports assessment for patellar tendinopathy (VISA-P-J) according to the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN).Methods: This prospective cohort study registered 43 participants ≥18 years old with a history of painful symptoms in the inferior pole of the patella to the proximal patellar tendon lasting ≥1 month. Pain in daily life and during sports activities, symptom classification, and patient global impression of change (PGIC) were assessed at the baseline, 1 week, and 12 weeks. The psychometric properties of the VISA-P-J were calculated according to the COSMIN.Results: The intraclass correlation coefficient (ICC)2,1 for test-retest reliability was 0.87 (p<0.01), and the standard error of measurement was 0.89. The Cronbach's alpha for internal consistency was 0.81. A correlation was observed with other external criteria (p<0.01) for criterion validity. All hypotheses of the hypothesis-testing method to evaluate construct validity and responsiveness were substantiated. The minimal clinically important difference (MCID) was 7 points.Conclusion: We demonstrated that the VISA-P-J, based on the COSMIN, was a reliable, valid, and responsive assessment method for individuals with chronic pain in the patellar tendon.
Land Use Classification System in Bangladesh: Inconsistencies and Their Consequences
Authors: Faria Meher Afjun , Tonmoy Md. Efti Manna , Haque Afsana 
Published: August 2022

Abstract
A unified land use classification system with mutually exclusive definitions of each land use category helps to avoid inconsistencies in the planning process and most importantly ensures effective implementation of development control tools. In Bangladesh, the planning authorities prepare land use plans independently deciding the land use classes. This study aims to explore the nature of inconsistencies in the land use classification systems followed by different planning institutions in Bangladesh and to understand corresponding consequences. To conduct the study, land use plans prepared by different planning institutions have been collected. Based on descriptive analysis, the study reveals that types of land use classes in land use plans vary across time, administrative unit, and geographic location. Even authorities are not consistent in maintaining a classification system in their subsequent plans. Moreover, the plans retain ambiguous definitions of land use classes. The classification and definitions of the land use classes are not well-linked with different national acts, rules, and policies relating to environmental and natural conservation which makes it strenuous to control development and protect natural, environmental, and cultural resources. This study has the prospects to understand the importance of a unified land use classification system. It also identifies the strategies which could be useful to develop a unified system for countries like Bangladesh.
Training Trainers in the Management of Older Persons with Dementia during the COVID-19 Pandemic
Authors: Parodi José F. , Aguilar-Navarro Sara , Runzer-Colmenares Fernando M. , Cano-Gutierrez Carlos 
Published: August 2022

Abstract
During the COVID-19 pandemic, education activities for the prevention and management of chronic health conditions needed to adapt to meet their learning objectives. Dementia is a chronic disease that is one of the contemporary epidemics in Latin America and the Caribbean (LAC). Objective: To describe and analyse the impact of the design and results of "The Management of the Elderly with Dementia” Course of the Latin American Academy of Medicine of the Elderly (ALMA) remotely taught to teachers and specialists in geriatrics from various countries of Latin America and the Caribbean (LAC). Methodology: A course focused on learning and competencies was designed, including two phases of synchronous and asynchronous activities. An evaluation strategy was designed to assess the level of learning and the teaching strategy itself.Results: Of the 120 university geriatrics professors who applied, 60 participants were selected, one of whom declined to participate before starting the course. On the course initiation, 89 participants from 20 countries included teachers (6 speakers, 12 advisors, and 12 tutors) and students (59). The participants were professors from 49 universities in LAC and 3 in Europe. A total of 57 (98.25%) students achieved a satisfactory grade, and 17 (29.8%) obtained an excellent grade. Only one student failed. No student dropped out from the course. Self-perception of learning was greater than 70%. The opinions regarding the evaluation of the design, teaching methodology, content quality, quality of teachers, and virtual learning environment were mainly "good and very good". Conclusions: The virtual course model implemented was successful and efficient and can be used for teaching the topic analysed or adjusted to another issue.
Comorbid Psychiatric Disorders and Long-Term Survival after Liver Transplantation in Transplant Facilities with a Psychiatric Consultation-Liaison Team: a Multicenter Retrospective Study
Authors: Kimura Hiroyuki , Kishi Shinichi , Narita Hisashi , Tanaka Teruaki , Okada Tsuyoshi , Fujisawa Daisuke , Sugita Naoko , Noma Shun’ichi , Matsumoto Yosuke , Ohashi Ayako , Mitsuyasu Hiroshi , Yoshida Keizo , Kawasaki Hiroaki , Nishimura Katsuji , Ogura Yasuhiro , Ozaki Norio 
Published: August 2022

Abstract
Objective
Comorbid psychiatric disorders negatively affect the survival rate of patients with some physical disorders. In liver transplant recipients, various psychiatric disorders have been identified as worsening prognosis. However, little is known about how the presence of any comorbid (overall) disorders affect the survival rate of transplant recipients. In this study, we examined the effect of overall comorbid psychiatric disorders on survival rate in liver transplant recipients.
Methods
A total of 1006 recipients who underwent liver transplantation between September 1997 and July 2017 across eight transplant facilities with a psychiatric consultation-liaison team were identified consecutively. Recipients were categorized into those with comorbid psychiatric disorders and those without comorbid psychiatric disorders. In the comorbid psychiatric disorder group, psychiatric disorder diagnosis and time of diagnosis were investigated retrospectively.
Results
Of the 1006 recipients, 294 (29.2%) had comorbid psychiatric disorders. Comorbid psychiatric disorders in the 1006 recipients were insomnia (N = 107, 10.6%), delirium (N = 103, 10.2%), major depressive disorder (N = 41, 4.1%), adjustment disorder (N = 19, 1.9%), anxiety disorder (N = 17, 1.7%), intellectual disability (N = 11, 1.1%), autism spectrum disorder (N = 7, 0.7%), somatic symptom disorder (N = 4, 0.4%) schizophrenia (N = 4, 0.4%), substance use disorder (N = 24, 2.4%) and personality disorder (N = 2, 0.2%). The most common time of psychiatric disorder diagnosis was within the first 3 months after liver transplantation (51.6%). The final mortality in patients with comorbid psychiatric disorder diagnosis during the five periods (pretransplant, transplant to 3 months, months to 1 year, 1 to 3 years, and over 3 years posttransplant) was 16.2%, 18.8%, 39.1%, 28.6%, and 16.2% respectively, and there were no significant differences between the five periods (χ2=8.05, df = 4, p = 0.09). Overall comorbid psychiatric disorders were significantly associated with shorter survival time (log-rank test: p = 0.01, hazard ratio: 1.60 [95% confidence interval: 1.15–2.24], survival rate at the endpoint [%]: 62.0 vs. 83.3). However, after adjusting for confounding variables using Cox proportional hazards regression, there was no significant effect of overall comorbid psychiatric disorders on prognosis.
Conclusion
Comorbid psychiatric disorders did not affect the survival rate of liver transplant recipients in this study.
Methyl Orange Dye Adsorbed Biochar as a Potential Brønsted Acid Catalyst for Microwave Assisted Biodiesel Production
Authors: CHELLAPPAN SUCHITH , Kallingal Aparna , Vandana Sajith , Nair Vaishakh , Chinglenthoiba Chingakham 
Published: August 2022

Abstract
Biodiesel production from non-edible oils using a highly efficient eco-friendly catalyst is a crucial requirement replacing fossil fuels. In the present work, biochar has been used for both environmental and energy applications. Using slow pyrolysis, the biochar was prepared from various biomass, mainly cassava peel, irul wood sawdust, and coconut shell. All biochars were used as adsorbents to remove an anionic dye (methyl orange) by conducting batch adsorption studies. The cassava peel based biochar showed maximum dye adsorption and was characterized using various sophisticated analytic tools, showing hydroxyl and acidic groups. Further, the dye adsorbed biochar based on cassava peel was used as a Brønsted acid catalyst for microwave assisted biodiesel production from Millettia pinnata seed oil.
Portable and Low-cost Hologram Verification Module That Uses Hyperspectral Imaging
Authors: Mukundan Arvind , Tsao Yu-Ming , Lin Fen-Chi , Wang Hsiang-Chen 
Published: August 2022

Abstract
One of the challenges in differentiating a duplicate hologram from an original one is reflectivity. A slight change in lighting condition will completely change the reflection pattern exhibited by a hologram, and consequently, a standardized duplicate hologram detector has not yet been created. In this study, a portable and low-cost hyperspectral imaging (HSI)-based housing module for differentiating between original and duplicate holograms was proposed. The module consisted of a Raspberry Pi 4 processor, a Raspberry Pi camera, a display, and a light-emitting diode lighting system with a dimmer. A visible HSI algorithm that could convert an RGB image captured by the Raspberry Pi camera into a hyperspectral image was established. A specific region of interest (ROI) was selected from the spectral image and mean gray value (MGV) and reflectivity were measured. Results suggested that shorter wavelengths are the most suitable for differentiating holograms when using MGV as the parameter for classification, while longer wavelengths are the most suitable when using reflectivity. The key features of this design include low cost, simplicity, lack of moving parts, and no requirement for an additional decoding key.
Spatial assortment of soil organisms supports the size-plasticity hypothesis
Authors: Sun Xin , Isabwe Alain , Yao Haifeng , Zhang Shixiu , Jiang Yuji , Breed Martin 
Published: August 2022

AbstractThe size-plasticity hypothesis posits that larger size organisms are less plastic in their metabolic rates and therefore are more strongly environmental-filtered than smaller organisms. Many studies have supported this hypothesis by evaluating the relative roles of environmental filtration and dispersal for different taxonomic groups of soil organisms. Most observations are made at large spatial scales, which are assumed to have a wide array of varying habitats. However, since urbanization causes habitat fragmentation at smaller regional scales, testing the size-plasticity hypothesis at this scale would help better understand the spatial assortment of urban soil organisms which, in turn, would help to develop improved management and conservation strategies of urban soil health. Here, we used DNA metabarcoding on five groups of soil biota (bacteria, fungi, protists, nematodes, and soil invertebrates) to assess the relative importance of dispersal and environmental filters to examine the size-plasticity hypothesis at this spatial scale in an urban environment. We observed strong distance-decay of community similarities associated with higher levels of stochastic changes in bacteria, nematode and protist communities but not fungal or invertebrate communities. Bacterial communities occupied the widest niche followed by protists and nematodes, potentially because of their higher dispersal abilities compared to the larger soil organisms. Null deviation of communities varied with taxonomic groups where bacteria and nematodes were mainly driven by homogenizing dispersal, protists and fungi by drift and soil invertebrates by environmental selection. We further identified a small percentage of locally-adapted taxa (2.1%) that could be focal taxa for conservation and restoration efforts by, for example, restoring their habitats and enhancing their regional connectivity. These results support the size-plasticity hypothesis at the relatively unexplored regional scale in an urbanization context, and provide new information for improving urban soil health and sustainable city models and urban soil health.
Treating Acute EXacerbation of COPD with Chinese HerbAL MedIcine to aid AntiBiotic Use Reduction (EXCALIBUR): study protocol of a randomised double-blind, placebo-controlled feasibility trial
Authors: Hu Xiao-Yang , Oliver Tom , Willcox Merlin , Simpson Catherine , Thorne Kerensa , Trill Jeanne , Francis Nick , Stuart Beth , Thomas Michael , Little Paul , Liu Jian-Ping , Griffiths Gareth , Moore Michael 
Published: August 2022

Abstract

Background:Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) are a major reason for consultations in primary care, hospital admissions, deterioration in function, and mortality. 70% of patients presenting with AECOPD in UK primary care are currently in receipt of antibiotics which is part of the standard care. However, the majority of exacerbations are not caused by bacteria. Finding effective non-antibiotic treatments for COPD exacerbations is a priority to reduce antibiotic use. The Chinese herbal medicine Shufeng Jieduâ (SFJD) has the potential to reduce treatment failure and duration of hospital stay. This study aims to test the feasibility of a randomised, double blind, placebo-controlled clinical trial on SFJD in AECOPD.Methods:This study is a phase III, two-arm individually double blind, randomised, placebo-controlled feasibility trial with nested qualitative study, coordinated by the Southampton clinical trial unit (SCTU). Patients aged ≥40 years old, with a current AECOPD, presenting with increased sputum purulence/ volume, or breathlessness, and for whom the GP is considering use of antibiotics, will be eligible to participate. We aim to recruit seven eligible participants per month, randomise them to receive either the patent Chinese herbal medicine SFJD capsules or placebo for 14 consecutive days and to follow up for 12 weeks. The primary outcomes include the feasibility of recruitment, study retention, and the completion of trial diaries.Discussion:If this trial demonstrates the feasibility of recruitment, delivery and follow-up, we will seek funding for a fully powered placebo-controlled trial of SFJD for the treatment of AECOPD in primary care.Trial registration: This trial is registered via ISRCTN on 1stJuly 2021, identifier: ISRCTN26614726.
GPU accelerated digital twins of the human heart open new routes for cardiovascular research
Authors: Viola Francesco , Corso Giulio Del , De Paulis Ruggero , Verzicco Roberto 
Published: August 2022

Abstract
The recruitment of patients for rare or complex cardiovascular diseases is a bottleneck for clinical trials and digital twins of the human heart have recently been proposed as a viable alternative.
In this paper we present an unprecedented cardiovascular computer model which, relying on the latest GPU–acceleration technologies, replicates the full cardiac dynamics within a few hours. This opens the way to extensive simulation campaigns to study the response of synthetic cohorts of patients to cardiovascular disorders, novel prosthetic devices or surgical procedures. As a proof– of–concept we show the results obtained for left bundle branch block disorder and the subsequent cardiac resynchronization obtained by pacemaker implantation. The in–silico results closely match those obtained in clinical practice, confirming the reliability of the method.
This innovative approach makes possible a systematic use of digital twins in cardiovascular research, thus reducing the need of real patients with their economical and ethical implications. This study is a major step towards in–silico clinical trials in the era of digital medicine.