bluuebunny/crossref_metadata_2025_split huggingface dataset:
Timing of tracheostomy in acute traumatic spinal cord injury: a systematic review and meta-analysis
Authors: Foran Sarah , Taran Shaurya , Singh JM , Kutsogiannis Demetrios James , McCredie Victoria 
Published: January 2021

Abstract
Background Patients with acute traumatic cervical or high thoracic level spinal cord injury (SCI) typically require mechanical ventilation (MV) during their acute admission. Placement of a tracheostomy is preferred when prolonged weaning from MV is anticipated. However, the optimal timing of tracheostomy placement in patients with acute traumatic SCI remains uncertain. We systematically reviewed the literature to determine the effects of early versus late tracheostomy or prolonged intubation in patients with acute traumatic SCI on important clinical outcomes.Methods Six databases were searched from their inception to January 2020. Conference abstracts from relevant proceedings and the gray literature were searched to identify additional studies. Data was obtained by two independent reviewers to ensure accuracy and completeness. The quality of observational studies was evaluated using the Newcastle Ottawa Scale (NOS).Results Seventeen studies (2,804 patients) met selection criteria, 14 of which were published after 2009. Meta-analysis showed that early tracheostomy was not associated with decreased short-term mortality (risk ratio [RR] 0.84; 95% confidence interval [CI] 0.39 to 1.79; p = 0.65; n = 2,072), but was associated with a reduction in MV duration (mean difference [MD] 13.1 days; 95% CI -6.70 to -21.11; p = 0.0002; n = 855), intensive care unit (ICU) length of stay (MD -10.20 days; 95% CI -4.66 to -15.74; p = 0.0003; n = 855), and hospital length of stay (MD -7.39 days; 95% CI -3.74 to -11.03; p < 0.0001; n = 423). Early tracheostomy was also associated with a decreased incidence of ventilator-associated pneumonia (VAP) and tracheostomy-related complications (RR 0.86; 95% CI 0.75 to 0.98; p = 0.08; n = 2,043 and RR 0.08; 95% CI -0.01 to -0.15; p = 0.02; n = 812 respectively). The majority of studies ranked as good methodologic quality on the NOS. Conclusions Early tracheostomy in patients with acute traumatic SCI may reduce duration of mechanical ventilation, length of ICU stay, and length of hospital stay. Current studies highlight the lack of high-level evidence to guide the optimal timing of tracheostomy in acute traumatic SCI. Future research should seek to understand whether early tracheostomy improves patient comfort, decreases duration of sedation and improves long-term outcomes.PROSPERO registration number: CRD42020162488
Clinicopathological effects of Nigella sativa (kalonji) seeds in Escherichia coli infected Psittaculakrameri.
Authors: Waqar Muhammad , Khan Farhan Anwar , Ali Mehboob , Rehman Faiz ur , Ikram Muhammad Sohaib , Khan Muhammad Kashif , Saeed Muhammad , Nawaz Saqib 
Published: January 2021

Abstract
The clinicopathological effects of E. coli infected Psittaculakrameri (ring necked parrots) supplemented with N. sativa seeds in feed were evaluated. Faecal samples from “psittacine” species parrots were collected and E. coli was isolated for cultural, morphological, biochemical and in-vitro studies. A total of 27 parrots were selected and divided into 03 groups (A= control, B= no treatment and C= treatment+ infection) having 09 parrots in each and were fed with N. Sativa seeds @100mg/kg from 3rd day. The parrots of group B and C were challenged with 0.1ml pathogenic E. coli @106CFU/ml/bird subcutaneously on day 9th. Clinical signs, mortality and morbidity rates were observed during the trial. For haematology, histopathology and CRP in sera, three birds were slaughtered weekly from each group. Significant decreased in feed consumption, haematological values like red blood cells, haemoglobin and pack cell volume while significant increase in clinical signs, morbidity, mortality, liver, heart, kidneys weights and white blood cell were recorded in group B. C-Reactive protein values was significantly decreased in group C as compared to group B while degenerative changes were seen in liver, heart and kidneys of group B.
Exoskeleton-assisted walking improves pulmonary function and walking parameters among individuals with spinal cord injury: a randomized controlled pilot study
Authors: Xiang Xiao-na , Zong Hui-yan , Ou Yi , Yu Xi , Cheng Hong , Du Chun-ping , He Hong-chen 
Published: January 2021

Abstract
Background: Exoskeleton-assisted walking (EAW) is expected to improve the gait of spinal cord injury (SCI) individuals. However, few studies reported the changes of pulmonary function (PF) parameters after EAW trainings. Hence, we aimed to explore the effect of EAW on PF parameters, 6-minute walk test (6MWT) and lower extremity motor score (LEMS) in individuals with SCI and to compare those with conventional trainings.
Methods: In this prospective, single-center, single-blinded randomized controlled pilot study, 18 SCI participants were randomized into the EAW group (n=9) and conventional group (n=9) and received 16 sessions of 50-60min training (4 days/week, 4 weeks). PF parameters consisting of the forced vital capacity (FVC), forced expiratory volume in 1 sec (FEV1), forced expiratory flow (FEF), peak expiratory flow, and maximal voluntary ventilation, 6MWT with assisted devices and LEMS were reported pre- and post-training.
Results: Values of FVC (p=0.041), predicted FVC% (p=0.012) and FEV 1 (p=0.013) were significantly greater in EAW group (FVC: 3.8±1.1 L; FVC%pred=94.1±24.5%; FEV1: 3.5±1.0 L) compared to conventional group (FVC: 2.8±0.8 L; FVC%pred=65.4±17.6%; FEV1: 2.4±0.6 L) after training. Participants in EAW group completed 6MWT with median 17.3 meters while wearing the exoskeleton. There was no difference in LEMS and no adverse event.
Conclusions: The current results suggest that EAW has potential benefits to facilitate PF parameters among individuals with lower thoracic neurological level of SCI compared to conventional trainings. Additionally, robotic exoskeleton helped walking.
Trial registration: Registered on 22 May 2020 at Chinese Clinical Trial Registry (ChiCTR2000033166). http://www.chictr.org.cn/edit.aspx?pid=53920&htm=4
Keywords: Spinal Cord, Pulmonary, Exercise, Exoskeleton, 6MWT, Rehabilitation
Comparison of Psychiatric Disorders Between Levetiracetam Combined With Lacosamide and Perampanel
Authors: Matsunuma Satoru , Sunaga Shigeki , Hoshiai Akira , Arai Takao , Jimbo Hiroyuki , Yoshimoto Koichi 
Published: January 2021

Abstract
Background The number of patients with epilepsy receiving perampanel or lacosamide as an add-on treatment following levetiracetam treatment has increased. Although levetiracetam causes psychiatric disorders, it is unclear whether they occur with the combined use of these antiepileptic drugs.Objective To determine the frequency of psychiatric disorders in patients using lacosamide or perampanel as an add-on therapy to levetiracetam. Setting A single-center retrospective cohort study. Methods Patients who received levetiracetam, lacosamide, and perampanel between April 1, 2014 and April 30, 2019 in Hachioji Medical Center were selected. They were classified into the levetiracetam+lacosamide or levetiracetam+perampanel group. Medical records from the start of combination therapy contained patient background and the incidence of psychiatric disorders. Main outcome measure Onset of psychiatric disorders. Results Forty-four patients used levetiracetam+lacosamide and 50 used levetiracetam+perampanel. The incidence of psychiatric disorders was significantly lower (p = 0.000047) with levetiracetam+lacosamide (6.8%) than with levetiracetam+perampanel (46%). The time to the onset of psychiatric disorders was within 1 month of dose initiation or increase in one case (33.3%) with levetiracetam+lacosamide and 16 cases (76.2%) with levetiracetam+perampanel. The median time to onset was 56 and 6.5 days with levetiracetam+lacosamide and levetiracetam+perampanel, respectively. There was no significant difference in antiepileptic drug dosages owing to the presence or absence of psychiatric disorders. Conclusion As the frequency of psychiatric disorders was higher with levetiracetam+perampanel therapy, levetiracetam+lacosamide may be preferable. These disorders tended to develop within 1 month of therapy and were not dose-dependent. Antiepileptic drugs should be cautiously prescribed to avoid psychiatric disorders.
Photocatalytic decontamination of pharmaceutical effluent in a double tube reactor by ZnO catalyst. Physico chemical characterization and optimization.&nbsp;
Authors: NAITALI F. , GHOUALEM H 
Published: January 2021

Abstract
This work focused on the study of the elimination of a non-steroidal anti-inflammatory drug (diclofenac) using heterogeneous photo catalysis as a treatment.The study investigated the effect of parameters (catalyst concentration, initial diclofenac concentration, ratio r r = . and volume flow) on the photocatalytic degradation of diclofenac. The analyses performed are pH, electrical conductivity, turbidity, surface tension, chemical oxygen demand, nitrite and diclofenac concentration.The study showed that: The heterogeneous photo catalytic degradation is influenced by :The concentration of the ZnO catalyst; The concentration of 1.5 g/L gives a better degradation in diclofenac with a percentage of elimination of 52%; The initial concentration of diclofenac; The concentration of 100 mg/L of diclofenac gives a better degradation with a percentage of elimination of 52%; The ratio r = ; The three ratios (1; 5; and 10%) give a total degradation after one hour of treatment; The volume flow rate of 25 mL/s gives a total degradation after one hour of treatment. Optimal conditions for heterogeneous photo-catalysis are : [ZnO] = 1.5 g/L, [diclofenac] = 100 mg/L, Volume flow rate = 25 mL/s For a volume flow rate of 20 mL/s, optimal conditions are met by adding H2O2.
Explaining corruption: How do firms respond to non-gravity trade in developing countries?
Authors: Hu Lin , Yan Wenshou 
Published: January 2021

Abstract
There has been limited effort to explore whether non-gravity trade, as not driven by standard variables entering an augmented gravity model, matters for firms’ corruption. To fill this gap, this paper explores the effect of non-gravity trade on firms’ corruption in 141 developing countries during the period 2006–2017. Our results show that non-gravity trade does matter for the firms’ corruption behavior. Specifically, we find that firms’ corruption decreases by 0.09–0.23% following a unit increase in non-gravity trade (e.g. 19.7 million dollars’ increase in real trade), and the effect is much larger during the world financial crisis period. The result is robust to exploiting conditional heteroskedasticity for identification, constructing a Bartik-type instrument variable, applying different econometric technics, and using alternative measures of firm corruption.
Assessment of Air Pollution status during COVID-19 Lockdown (Mar-May 2020) over Bangalore City in India
Authors: Gouda K C , Singh Priya , Nikhilasuma P , Benke Mahendra , Kumari Reshama , Agnihotri Geeta , H Kiran , Chandrika M , Kantharao B , Ramesh V , Himesh S 
Published: January 2021

Abstract
The Coronavirus disease 2019 (COVID-19), which became a global pandemic by March 2020 (WHO, 2020), forced almost all countries over the world to impose the lockdown as a measure of social distancing to control the spread of infection. India also strictly implemented a countrywide lockdown, starting from 24th March onwards. This measure resulted in the reduction of the sources of air pollution in general; industrial, commercial, and vehicular pollution in particular, with visible improvement in Ambient Air Quality. In this study, the impact of COVID-19 lockdown on the ambient concentration of air pollutants over the city of Bengaluru (India) is assessed using Continuous Ambient Air Quality Measurement (CAAQM) data from 10 monitoring stations spread across the city. The data was obtained from Central Pollution Control Board (CPCB) and Karnataka State Pollution Control Board (KSPCB). The analysis of the relative changes in the ambient concentration of six major air pollutants (NO, NO2, NOX, PM2.5, O3, and SO2) been carried out for two periods; March-May 2020 (COVID-19 lockdown) and the corresponding period of 2019 which was Non-COVID. The analysis revealed significant reduction in the concentration of ambient air pollutants at both daily and monthly intervals. This can be attributed to the reduction in sources of emission; vehicular traffic, industrial, and other activities. The average reduction in the concentration of NO, NO2, NOX, PM2.5, and O3 between 1st March to 12th May 2020 was found to be 63%, 48%, 48%, 18%, and 23% respectively when compared to the same period in 2019. Similarly, the comparative analysis of pollutant concentrations between pre-lockdown (March 01- March 23) and lockdown (Mar 24-May 12) period, shown a huge reduction in the ambient concentration of air pollutants; 47.3% (NO), 49% (NO2), 49% (NOX), 10% (SO2), 37.7% (PM2.5), and 15.6% (O3), resulting in improved air quality over Bangalore during the COVID-19 lockdown period. It is shown that the strict lockdown resulted in a significant reduction in the pollution levels. Such lockdowns may be useful as emergency intervention strategies to control air pollution in megacities when ambient air quality deteriorates dangerously.
A Multi-Layer Industrial-IoT Attack Taxonomy: Layers, Dimensions, Techniques and Application
Authors: Abbas Syed Ghazanfar , Hashmat Fabiha , Shah Ghalib A. 
Published: January 2021

Abstract
Industrial IoT (IIoT) is a specialized subset of IoT which involves the interconnection of industrial devices with ubiquitous control and intelligent processing services to improve industrial system’s productivity and operational capability. In essence, IIoT adapts a use-case specific architecture based on RFID sense network, BLE sense network or WSN, where heterogeneous industrial IoT devices can collaborate with each other to achieve a common goal. Nonetheless, most of the IIoT deployments are brownfield in nature which involves both new and legacy technologies (SCADA (Supervisory Control and Data Acquisition System)). The merger of these technologies causes high degree of cross-linking and decentralization which ultimately increases the complexity of IIoT systems and introduce new vulnerabilities. Hence, industrial organizations becomes not only vulnerable to conventional SCADA attacks but also to a multitude of IIoT specific threats. However, there is a lack of understanding of these attacks both with respect to the literature and empirical evaluation. As a consequence, it is infeasible for industrial organizations, researchers and developers to analyze attacks and derive a robust security mechanism for IIoT. In this paper, we developed a multi-layer taxonomy of IIoT attacks by considering both brownfield and greenfield architecture of IIoT. The taxonomy consists of 11 layers 94 dimensions and approximately 100 attack techniques which helps to provide a holistic overview of the incident attack pattern, attack characteristics and impact on industrial system. Subsequently, we have exhibited the practical relevance of developed taxonomy by applying it to a real-world use-case. This research will benefit researchers and developers to best utilize developed taxonomy for analyzing attack sequence and to envisage an efficient security platform for futuristic IIoT applications.
An Integrated Interval type 2 fuzzy AHP and COPRAS-G methodologies for supplier selection in the era of Industry 4.0
Authors: Kaya Sema Kayapinar , Aycin Ejder 
Published: January 2021

Abstract
Supply chain has a very extensive and dynamic structure that incorporates new business models, new customer expectations, market searches and technological developments. With the introduction of Industry 4.0 into supply chain, a rapid and intensive process of digitalization begin to transform every step of supply chain. Supply chain selection is one of the essential decisions in reducing the supply chain cost and improving overall quality of product and services. With the implication of digital technologies and Industry 4.0 on supply chain, the supplier selection process has been significantly changed during the recent years. Companies are willing to need new requirements for their own suppliers in accordance with Industry 4.0 implementations and technologies. This paper aims to identify key criteria to Industry 4.0 technologies and evaluate them to select the right suppliers selection in the era of Industry 4.0 Within the scope of this study attempts to develop an integrated Interval Type 2 Fuzzy AHP and GOPRAS-G methodology to select the appropriate supplier in the face of Industry 4.0 implementations. For this purpose, Interval Type 2 Fuzzy AHP was employed to weight the supplier evaluation criteria and then, Grey COPRAS method has been applied to prioritize suppliers. This paper is to provide practitioners and researchers with insight into how Industry 4.0 strategies influence on supplier selection.
Development of a predictive model of rock fragmentation for Nui Phao open-pit mine in Vietnam using multiple-output Neural Networks and Monte Carlo Dropout technique
Authors: Vu Trong , Bao Tran 
Published: January 2021

Abstract
Precise and reliable prediction of blast fragmentation is essential for the success of mining operations. Over the years, various machine learning models using artificial neural network have developed and proven to be efficient in predicting the blast fragmentation. In this research, we design multiple-output neural networks to forecast the cumulative distribution function (CDF) of blast fragmentation to improve this prediction. The model architecture contains multiple response variables in the output layer that correspond to the CDF curve’s percentiles. We apply Monte Carlo dropout procedure to estimate the uncertainty of the predictions. Data collected from a Nui Phao open-pit mine in Vietnam are used to train and validate the performance of the model. Results suggest that multiple-output neural network models provide better accuracy than single-output neural network models that predict each percentile on a CDF independently. Whereas, Monte Carlo dropout technique can give valuable and relative reliable information during decision making. Article highlights: • Precise and reliable prediction of blast fragmentation is essential for the success of mining operations. • A predictive model based on the multi-output neural network and Monte Carlo dropout technique was designed to predict the fragmentation CDF curve in the blasting operation of an open-pit mine. • The predictive model was proven reliable and provided better accuracy than models based on a single-output neural network.
For our world without sound. The opportunistic debitage in the Italian context: a methodological evaluation of the lithic assemblages of Pirro Nord, Cà Belvedere di Montepoggiolo, Ciota Ciara cave and Riparo Tagliente.
Authors: Carpentieri Mark , Arzarello Marta 
Published: January 2021

Abstract
The opportunistic debitage, originally adapted from Forestier’s S.S.D.A. definition, is characterized by a strong adaptability to local raw material morphology and its physical characteristics and it is oriented towards flake production. Its most ancient evidence is related to the first European peopling by Homo sp. during Lower Pleistocene starting from 1.6 Ma and gradually increasing around 1 Ma. In these sites a great heterogeneity of the reduction sequences and raw materials employed is highlighted, bringing to the identification of multiple technical behaviours. However, the scientific community does not always agree on associating the concepts of opportunism and method to describe these lithic complexes. The same methodological issues remain for the Middle Pleistocene where, simultaneously to an increase of the archaeological evidence and the persistence of the opportunistic debitage, the first bifacial complexes are attested. Further implications concerning the increasing complexity highlighted in core technology management are now at the centre of an important debate regarding the genesis of more specialized method (Levallois and Discoid) especially during MIS 12 and MIS 9. We suggest that the opportunistic debitage could be the starting point for this process, carrying within itself a great methodological and cultural potential.
Developing the INCLUDE Ethnicity Framework– a tool to help trialists design trials that better reflect the communities they serve
Authors: Treweek Shaun , Banister Katie , Bower Peter , Cotton Seonaidh , Devane Declan , Gardner Heidi R , Isaacs Talia , Nestor Gary , Oshisanya Adepeju , Parker Adwoa , Rochester Lynn , Soulsby Irene , Williams Hywel , Witham Miles D 
Published: January 2021

Abstract
Background Ensuring that a trial is designed so that its participants reflect those who might benefit from the results, or be spared harms, is key to the potential benefits of the trial reaching all they should. This paper describes the process used between July 2019 and October 2020 to develop the INCLUDE Ethnicity Framework, part of the wider INCLUDE initiative from the National Institute for Health Research to improve inclusion of under-served groups in clinical research studies. Methods Development of the Framework was done in seven phases: 1) Outline; 2) Initial draft; 3) Stakeholder meeting; 4) Modify draft; 5) Stakeholder feedback; 6) Applying the Framework; 7) Packaging. Phases 2 and 3 were face-to-face meetings. Consultation with stakeholders was iterative, especially phases 4 to 6. Movement to the next phase was done once all or most stakeholders were comfortable with the results of the current phase. When there was a version of the Framework that could be considered final, the Framework was applied to six trials to create a set of examples (Phase 6). Finally, the Framework, guidance and examples were packaged ready for dissemination (Phase 7). Results A total of 40 people from stakeholder groups including patient and public partners, clinicians, funders, academics working with various ethnic groups, trial managers and methodologists contributed to the seven phases of development. The Framework comprises two parts. The first part is a list of four key questions:Who should my trial apply to? Are the groups identified likely to respond in different ways? Will my study intervention make it harder for some groups to engage? Will the way I have designed the study make it harder for some groups to engage? The second part is a set of worksheets to help trial teams address these questions. The Framework can be used for any stage of trial, for a healthcare intervention in any disease area. The Framework was launched on 1 st October 2020 and is available open access at https://www.trialforge.org/trial-forge-centre/include/ Conclusion Thinking about the number of people in our trials is not enough: we need to start thinking more carefully about who our participants are.