bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gene therapy with hematopoietic stem and progenitor cell for monogenic disorders: a systematic review and meta-analysis
Authors: Tucci Francesca , Galimberti Stefania , Naldini Luigi , Valsecchi Maria G , Aiuti Alessandro 
Published: June 2021

Abstract
To provide an assessment of the safety of ex-vivo gene therapy (GT) with hematopoietic stem and progenitor cells (HSPC), we reviewed in a systematic manner the literature on monogenic diseases to describe survival, genotoxicity and engraftment of gene corrected HSPC, across vector platforms and diseases. From 1995 to 2020, 55 trials for 14 diseases met inclusion criteria and 406 patients with primary immunodeficiencies (55.2%), metabolic diseases (17.0%), haemoglobinopathies (24.4%) and bone marrow failures (3.4%) were treated with gammaretroviral vector (γRV) (29.1%), self-inactivating γRV (2.2%) or lentiviral vectors (LV) (68.7%). The pooled overall incidence rate of death was 0.9 per 100 person-years of observation (PYO) (95%CI = 0.37–2.17). There were 21 genotoxic events out of 1504.02 PYO. All these events occurred in γRV trials (0.99 events per 100 PYO, 95%CI = 0.18–5.43) for primary immunodeficiencies. Pooled rate of engraftment was 86.1% (95%CI = 66.9–95.0%) for γRV and 99.0% (95%CI = 95.1–99.8%) for LV HSPC-GT (p = 0.002). A comprehensive meta-analysis on HSPC-GT showed stable reconstitution of haematopoiesis in most recipients with superior engraftment and safer profile in patients receiving LV-transduced HSPC.
The Diagnosis of Sheep Cystic Echinococcosis by Native Antigen B - ELISA Method
Authors: Shirazi Shahrokh , Hoghooghi-Rad Nasser , Madani Rasoul 
Published: June 2021

Abstract
Cystic echinococcosis (CE) is one of the most prevalent zoonotic diseases in some countries in the world. Cystic echinococcosis is considered a neglected disease. This disease increases economic damage via medical costs and loss of human and livestock productivity. The aim of the current study gains a better understanding of the prevalence of CE in sheep. Totally 250 sheep sera were collected. 25 serum samples from newborn lambs were used as negative, and 25 others were obtained from slaughterhouses as positive to infection with CE and 200 unknown sera. Antigen B Isolated from hydatid cysts fluid was used for designing ELISA methods. The first Method used anti-Sheep conjugate (SIGMA, at 1:3000 dilution). According to the results, the seroprevalence of CE in East Azerbaijan of Iran was 5.5% and sensitivity and specificity for the diagnosis of hydatidosis in sheep by AgB-ELISA methods was 92%. Using Antigen B in ELISA design for hydatidosis diagnosis has attracted researchers in recent years. During this study, an Iranian native B antigen was used to design the specific detection of hydatidosis in sheep using a specific ELISA technique. The results have shown that using Antigen B in ELISA design is so valuable.
Insect-Computer Hybrid System for Autonomous Search and Rescue Mission
Authors: Sato Hirotaka , Tran-Ngoc P. Thanh , Long Le Duc , Chong Bing Sheng , Nguyen H. Duoc , Dung V. Than , Cao Feng , Li Yao , Kai Kazuki , Gan Jia Hui , Vo-Doan T. Thang , Nguyen T. Luan 
Published: June 2021

Abstract
There is still a long way to go before artificial mini robots are really used for search and rescue missions in disaster-hit areas due to hindrance in power consumption, computation load of the locomotion, and obstacle-avoidance system. Insect–computer hybrid system, which is the fusion of living insect platform and microcontroller, emerges as an alternative solution. This study demonstrates the first-ever insect–computer hybrid system conceived for search and rescue missions, which is capable of autonomous navigation and human presence detection in an unstructured environment. Customized navigation control algorithm utilizing the insect’s intrinsic navigation capability achieved exploration and negotiation of complex terrains. On-board high-accuracy human presence detection using infrared camera was achieved with a custom machine learning model. Low power consumption suggests system suitability for hour-long operations and its potential for realization in real-life missions.
Effect of Superficial Gas Velocity on Continuous Hydrogen Production by Anabaena sp. in an Internal-loop Airlift Bioreactor
Authors: Zarei Zahra , Malekshahi Peyman , Morowvat Mohammad Hossein , Rahimi Rahbar , Niknezhad Seyyed Vahid 
Published: June 2021

Abstract
Global warming and rising air pollution which has been caused by using too much fossil fuel has led to look for a new clean source, sustainable and eco-friendly of energy like H2, which can be produced by cyanobacteria and microalgae. In this study, Anabaena sp. was used in a continuous operation to achieve biohydrogen production. To this end, an airlift photobioreactor (20 L) was considered. The effects of the gas holdup, liquid circulation velocity, and the amount of dissolved oxygen on hydrogen production were investigated. Gas holdup, liquid circulation velocity, and KLa (mass transfer coefficient) showed an upward trend by increasing the velocity of the inlet gas. Maximum biomass concentration of and maximal H2 production were observed 1.2 g L-1 d-1 and 371 mL h-1 PBR-1, respectively under light intensity of 3500 lux/m2 applying a light-dark cycle in 7 days, at Ad/Ar of 1.25 and 0.185 and 0.542 cm/s. pH, temperature (30+2 °C), light intensity, and inlet gas flow to the bioreactor (containing 98% air and 2% carbon dioxide) were remained steady. Using the airlift photobioreactor with a good mass transfer and light availability to cyanobacteria growth can be a cost-effective and environmentally technology for biological H2 production.
Optimal Cerebral Perfusion Pressure Guided by Brain Oxygen Pressure Measurement
Authors: Kovacs Matyas , Peluso Lorenzo , Njimi Hassane , Dewitte Olivier , Bogossian Elisa , Cornejo Armin Quispe , Creteur Jacques , Schuind Sophie , Taccone Fabio Silvio 
Published: June 2021

Abstract
BackgroundAlthough increasing cerebral perfusion pressure (CPP) is commonly accepted to improve brain tissue oxygen pressure (PbtO2), it remains unclear whether recommended CPP targets (i.e. > 60 mmHg) would result in adequate brain oxygenation in brain injured patients. The aim of this study was to identify the target of CPP associated with normal brain oxygenation. MethodsProspectively collected data including patients suffering from acute brain injury and monitored with PbtO2, in whom daily CPP challenge using vasopressors was performed. Initial CPP targets were >60 mmHg; norepinephrine infusion was modified to have an increase in CPP of at least 10 mmHg at two different steps above the baseline values. Whenever possible, the same CPP challenge was performed for the following days, for a maximum of 5 days. CPP “responders” were patients with a relative increase in PbtO2 from baseline values >20%.ResultsA total of 53 patients were included. On the first day of assessment, CPP was progressively increased from 73 [70-76] to 83 [80-86] and 92 [90-96] mmHg, which resulted into a significant PbtO2 increase (from 20 [17-23] mmHg to 22 [20-24] mmHg and 24 [22-26] mmHg, respectively; p<0.001). Median CPP value corresponding to PbtO2 values > 20 mmHg was 79 [74-87] mmHg, with 2 (4%) patients who never achieved such target. Similar results of CPP targets were observed the following days. A total of 25 (47%) were PbtO2 responders during the CPP challenge on day 1, in particular if low PbtO2 was observed at baseline. ConclusionsPbtO2 monitoring can be an effective way to individualize CPP values to avoid tissue hypoxia. Low PbtO2 values at baseline can identify the responders to the CPP challenge.
Enhancing Performances of Perovskite Solar Cells by Using Zinc Oxide Quantum Dots/Mesoporous Titania Electron Transport Layer
Authors: Wang Mei , Bo Huating , Fu Qiuyun , Ma Xinguo , Cheng Zhengwang , He Jing , Zou Wei 
Published: June 2021

Abstract
As the photovoltaic performance of mesoscopic perovskite solar cells (PSCs) is strongly dependent on the interface between perovskite and electron transport layer. Herein, an attempt to load facile processed ZnO quantum dots (ZQDs) or TiO2 quantum dots (TQDs) into the mp-TiO2 layer via a simple spin-coating method was first performed. Both of them had huge impact on the morphology of perovskite films, leading to larger perovskite grains. However, the power conversion efficiency (PCE) of these two kinds of QDs modified cells exhibited a different tendency. The champion PCE of ZQDs modified PSCs was remarkably improved from 14.54% to 17.2%, while that of TQDs modified ones decreased to 11.78%. We demonstrated that the enhanced PCE and short-circuit current (Jsc) were attributed to the enlarged grain size and enhanced light absorption of perovskite film, faster electron extraction and transport as well as less recombination for ZQDs modified PSCs, which mainly resulted from the increased active specific surface area. On the contrary, deterioration of TQDs modified PSCs was exactly ascribed to the aggregation of TQDs which sharply decreased the specific surface area of the electron transport layer. The current work provided an efficient and facile way to improve the photovoltaic performance of mesoscopic PSCs.
Sub-chronic cadmium exposure in drinking water dysregulates lipid and glucose metabolisms in ApoE (-/-) mice: Molecular insights into the etiology of atherosclerosis
Authors: Okpara Edozie Samuel , Wan Yu , Huang Haibing , Song Jia , Zhu Wei , Yang Guangye , YANG Professor Xingfen 
Published: June 2021

Abstract
Background: Exogenous exposure to cadmium is associated with cardiovascular diseases, including atherosclerosis, but experimental evidence elucidating the molecular events involved is still unclear, hence this study. We investigated whether sub-chronic cadmium exposure alone could cause a disruption in lipid and glucose metabolisms and whether the combined effect of these dysregulations could progressively lead to atherosclerosis in ApoE (-/-) mice.Methods: Experiments were performed in male ApoE (-/-) mice (8 weeks 25 ± 3g; n=60), which were randomly placed into four (4) groups according to body weight and administered cadmium (CdCl2) 0, 50, 100 and 200 mg/L, respectively in drinking water consecutively for 4 months. After treatment, changes in body weight were evaluated and mice plasma was analyzed for LDL, HDL, TCHO, TG, insulin and glucose levels. The collected samples were sent for histological examination in the 4th month and two-way ANOVA was used for statistical analysis.Results Levels of plasma LDL increased in all treatment groups but was statistically significant in the 4th month across all treatment groups when compared both with the blank control group and the first month mice. Plasma HDL levels were lowered in all treatment groups in the 2nd and 4th months when compared with the 1st month mice. Statistically significant decreases in plasma HDL levels were also observed in the 2nd month in the group receiving CdCl2 (100mg/L and 200mg/L) when compared with the blank control. TCHO andTG levels increased but was statistically significant in the former in the 1st, 2nd and 4th month at CdCl2 (100mg/L and 200mg/L) and in the latter at the same dose only in the 4th month. Moreover, fasting plasma glucose and insulin were elevated and lowered, respectively. Histological examination of aortal root also showed a dose-dependent increase in plaque formation, being most visible in the treatment group receiving CdCl2 (200mg/L).Conclusion: In line with our hypothesis, sub-chronic oral exposure of ApoE (-/-) mice to cadmium dysregulated their glucose and lipid profiles and the combined effect of this may be a contributory molecular event in the development of atherosclerosis.
Pathogen identification of Gentiana macrophylla root-knot nematode disease in Yulong, China
Authors: Wu Wentao , Xu Shanshan , Gao Zewen , Zhu Shusheng , Zhu Youyong , Wang Yang , He Xiahong 
Published: June 2021

Abstract
In September 2020, samples of galled roots with rhizosphere soil were collected from declining Gentiana macrophylla in Yulong County, China. The pathogenic nematodes were identified by observing morphological characteristics of females, second-stage juveniles and perineal pattern, sequence alignments, and specific amplification of sequence characterized amplified region (SCAR). The results showed that the perineal pattern of this nematode was round or oval, the dorsal arch was moderately high or low, one side or both of the lateral field extended to form a wing shape, the tail region had punctations, and the morphological characteristics and morphometric values of second-stage juveniles and females were similar to those of Meloidogyne hapla. The ITS region fragment of this nematode were highly similar to those of M. hapla in NCBI database, with a similarity of over 99.35%. Using the SCAR specific primers, a specific band with an expected size of approximately 440 bp was amplified from this nematode. Morphological and molecular identification supports the nematode species found on Gentiana macrophylla as M. hapla. This is the first report of this regulated root-knot nematode on Gentiana macrophylla in China.
Response of runoff in the upper reaches of the Minjiang River to climate change
Authors: Yang Kebi , Chen Ting , Ao Tianqi , Zhang Xu , Zhou Li , Gao Danyang 
Published: June 2021

Abstract
Climate change affects the water cycle in different regions. The response of annual runoff and seasonal distribution to climate change in the upper reaches of the Minjiang River during 2021–2050 was studied by coupling the Statistical Downscaling Model (SDSM) and the Soil and Water Assessment Tool (SWAT). This model was driven by the second-generation Canadian Earth System Model (CanESM2) under RCP2.6, RCP4.5, and RCP8.5 scenarios. The results show that the runoff in the upper reaches of the Minjiang River has a unique response to climate change. The maximum and minimum temperatures will increase with the increase in emissions, especially in December–January. The daily precipitation shows an upward trend, especially in July–August in the RCP4.5 scenario. The annual runoff shows an upward trend with the increase in emissions. Compared with the current increase of 13–26%, the most prominent period is November–April. Because the study area covers high mountains and gorge landforms, the altitude difference is great, and the influence of evapotranspiration and snow melting processes is more prominent, causing the monthly runoff to decrease in June–July with an increase in precipitation. From April to May, precipitation decreased while runoff increased.
Identifying most promising agronomic adaptation strategies to close rainfed rice yield gap in future: a model-based assessment
Authors: Debnath Subhankar , Mishra Ashok , Mailapalli D. R. , Raghuwanshi N. S. 
Published: June 2021

AbstractThere is an increasing consensus that climate change may have a high negative impact on crop yield, and that it will affect farmers in developing and least developed counties the most. ‘Closing the yield gap’ could be one of the promising options to address the issue of yield improvement. Better understanding of adaptation strategies and implications of the adaptations in crop yield are required to close the yield gap. In this study, the effectiveness of agronomic adaptation options on the rainfed rice yield gap was evaluated for the baseline period (1981–2005) and two future periods (2016–2040 and 2026–2050) for India by using bias-corrected RegCM4 output and the Decision Support System for Agrotechnology Transfer (DSSAT) model. Results suggested that a combined adjustment of transplanting time (advancing by fortnight), crop spacing ((10 × 10) cm) and N-fertilizer application (140 kg/ha) was the best strategy as compared to the single adaptation option to close the yield gap under the climate change scenario. The strategy improved rice yield by 37.5–168.0% and reduced the average attainable yield gap among the cultivars from 0.74 to 0.16 t/ha under future climate projection. This study provides agronomic indications to rice growers and lays the basis for an economic analysis to support policy-makers in charge of promoting the sustainability of the rainfed rice-growing systems.
Evaluating the climate change effects on temperature, precipitation and evapotranspiration in eastern Iran using CMPI5
Authors: Fan Guangli , Sarabandi Amjad , Yaghoobzadeh Mostafa 
Published: June 2021

Abstract
In this study, the trend of climate changes during a future period from 2020 to 2039 has been evaluated using the data of the Fifth Climate Change Report under two emission scenarios RCP 4.5 and RCP 8.5 for Neishabour plain, Iran. The 11 models of CESM, EC EARTH, HADGEM, MPI, NORESM, CANESM, CSIROM, GFDLCM2, GISS E2, IPSL and MIROC ESM have been used to evaluate changes in minimum and maximum temperatures, precipitation, and evapotranspiration. The results showed that the GFDLCM2, MPI and IPSL models were more accurate in terms of precipitation and the GISS E2 and GFDLCM2 models were the suitable option for predicting the maximum and minimum temperatures and evapotranspiration. Considering the evaluated parameters, minimum temperature, maximum temperature and evapotranspiration had approximately constant trends and were accompanied by a slight increase and decrease for the next two decades, but for the precipitation, large fluctuations were predicted for the next period. Moreover, in the study years for the four parameters in all simulated models, the RCP 8.5 scenario estimated a higher amount than the RCP 4.5 scenario.
Spatial and temporal assessment of groundwater quality and hydrogeochemical processes in Urmia Lake Basin, Iran
Authors: Pashaeifar Mohammadreza , Dehghanzadeh Reza , Ramazani Mohammad Ebrahim , Rafieyan Omid , Nejaei Arezoo 
Published: June 2021

Abstract
The evaluation of groundwater quality and geochemistry have an important role in the management of water resources in arid and semi-arid regions. In the present study, the spatio-temporal assessment of groundwater quality and hydrogeochemical processes, as well as, statistical analyses in the Azarshahr and Ajabshir plains located in the Urmia Lake basin were investigated. The results revealed that within six years (from 2014 to 2019), the value of total hardness was higher than the permissible level and the quality of groundwater for drinking was very hard and fresh in both plains. In 2019, 84 and 67% of the samples fell within the range of good to poor groundwater quality in the Azarshahr and Ajabshir plains, respectively. The temporal assessment with the help of water quality index values for both plains revealed a good groundwater quality for the Azarshahr plain and a good to poor groundwater quality for the Ajabshir plain. However, deterioration of water quality was observed in both plains from 2014 to 2019. The level of water quality for irrigation was better in the Azarshahr plain than in the Ajabshir plain, due to the presence of fewer salty sites. In addition, Ca–Mg–HCO3 and rock dominance were identified as hydrochemical facies and the controlling factor in the groundwater of both plains, respectively. Multivariate statistical analyses indicated both natural and anthropogenic sources (such as weathering, fertilizers, and wastewater) for hydrochemical parameters. It was suggested to develop a comprehensive regulation to control the entry of pollutants into the groundwater of the study area.
Online Interactive Platform for COVID-19 Literature Visual Analytics: Platform Development Study
Authors: Moran Addy , Hampton Shawn , Dowson Scott , Dagdelen John , Trewartha Amalie , Ceder Gerbrand , Persson Kristin , Saxon Elise , Barker Andrew , Charles Lauren , Webb-Robertson Bobbie-Jo 
Published: June 2021

Background
Papers on COVID-19 are being published at a high rate and concern many different topics. Innovative tools are needed to aid researchers to find patterns in this vast amount of literature to identify subsets of interest in an automated fashion.

Objective
We present a new online software resource with a friendly user interface that allows users to query and interact with visual representations of relationships between publications.

Methods
We publicly released an application called PLATIPUS (Publication Literature Analysis and Text Interaction Platform for User Studies) that allows researchers to interact with literature supplied by COVIDScholar via a visual analytics platform. This tool contains standard filtering capabilities based on authors, journals, high-level categories, and various research-specific details via natural language processing and dozens of customizable visualizations that dynamically update from a researcher’s query.

Results
PLATIPUS is available online and currently links to over 100,000 publications and is still growing. This application has the potential to transform how COVID-19 researchers use public literature to enable their research.

Conclusions
The PLATIPUS application provides the end user with a variety of ways to search, filter, and visualize over 100,00 COVID-19 publications.
Evaluation of a Parsimonious COVID-19 Outbreak Prediction Model: Heuristic Modeling Approach Using Publicly Available Data Sets
Authors: Gupta Agrayan K , Grannis Shaun J , Kasthurirathne Suranga N 
Published: June 2021

Background
The COVID-19 pandemic has changed public health policies and human and community behaviors through lockdowns and mandates. Governments are rapidly evolving policies to increase hospital capacity and supply personal protective equipment and other equipment to mitigate disease spread in affected regions. Current models that predict COVID-19 case counts and spread are complex by nature and offer limited explainability and generalizability. This has highlighted the need for accurate and robust outbreak prediction models that balance model parsimony and performance.

Objective
We sought to leverage readily accessible data sets extracted from multiple states to train and evaluate a parsimonious predictive model capable of identifying county-level risk of COVID-19 outbreaks on a day-to-day basis.

Methods
Our modeling approach leveraged the following data inputs: COVID-19 case counts per county per day and county populations. We developed an outbreak gold standard across California, Indiana, and Iowa. The model utilized a per capita running 7-day sum of the case counts per county per day and the mean cumulative case count to develop baseline values. The model was trained with data recorded between March 1 and August 31, 2020, and tested on data recorded between September 1 and October 31, 2020.

Results
The model reported sensitivities of 81%, 92%, and 90% for California, Indiana, and Iowa, respectively. The precision in each state was above 85% while specificity and accuracy scores were generally >95%.

Conclusions
Our parsimonious model provides a generalizable and simple alternative approach to outbreak prediction. This methodology can be applied to diverse regions to help state officials and hospitals with resource allocation and to guide risk management, community education, and mitigation strategies.