bluuebunny/crossref_metadata_2025_split huggingface dataset:
Levels of knowledge regarding malaria causes, symptoms, and prevention measures among Malawian women of reproductive age
Authors: Sixpence Alick , Nkoka Owen , Chirwa Gowokani C. , Milanzi Edith B. , Mangani Charles , Mathanga Don P. , Ntenda Peter A. M. 
Published: June 2020

Abstract
Background
Malawi is a malaria-endemic country and approximately 6 million cases are reported annually. Improving knowledge of malaria causes and symptoms, and the overall perception towards malaria and its preventive measures is vital for malaria control. The current study investigated the levels of knowledge of the causes, symptoms and prevention of malaria among Malawian women.

Methods
Data from the 2017 wave of the Malawi Malaria Indicator Survey (MMIS) were analysed. In total, 3422 women of reproductive age (15–49 years) were sampled and analysed. The levels of women’s knowledge about: (1) causes of malaria; (2) symptoms of malaria; and, (3) preventive measures were assessed. The tertiles of the composite score were used as the cut-offs to categorize the levels of knowledge as ‘low’, ‘medium’ and ‘high’. Multinomial logistic regression models were constructed to assess the independent factors while taking into account the complex survey design.

Results
Approximately 50% of all respondents had high levels of knowledge of causes, symptoms and preventive measures. The high level of knowledge was 45% for rural women and 55% for urban dwellers. After adjusting for the a wide range of factors, women of age group 15–19 years adjusted odds ratio ((aOR): 2.58; 95% Confidence Interval (CI) 1.69–3.92), women with no formal education (aOR: 3.73; 95% CI 2.20–6.33), women whose household had no television (aOR: 1.50; 95% CI 1.02–2.22), women who had not seen/heard malaria message (aOR: 1.53; 95% CI 1.20–1.95), women of Yao tribe (aOR: 1.95; 95% CI 1.10–3.46), and women from rural areas had low levels of knowledge about the causes of malaria, symptoms of malaria and preventive measures. Additionally, the results also showed that women aged 15–19 years (beta [β] = − 0.73, standard error [SE] = 0.12); P < .0001, women with no formal education (β = − 1.17, SE = 0.15); P < .0001, women whose household had no radio (β = − 0.15, SE = 0.0816); P = 0.0715 and women who had not seen or heard malaria message (β = − 0.41, SE = 0.07); P < .0001 were likely to have a lower knowledge score.

Conclusions
The levels of malaria knowledge were reported to be unsatisfactory among adult women, underscoring the need to scale up efforts on malaria education. Beside insecticide-treated bed nets (ITNs) and prompt diagnosis, malaria can be best managed in Malawi by increasing knowledge of malaria causes, and symptoms especially for younger women, women with no formal education, women whose households have no media, women from Yao tribes, and rural dwellers.
Sustainable and acceptable school meals through optimization analysis: an intervention study
Authors: Eustachio Colombo Patricia , Patterson Emma , Lindroos Anna Karin , Parlesak Alexandr , Elinder Liselotte Schäfer 
Published: June 2020

Abstract
Background
School meals hold considerable potential to shape children’s diets and reduce food-related greenhouse gas emissions (GHGE)—in the short and long term. This study applied linear optimization to develop a GHGE-reduced, nutritionally adequate, and affordable school lunch menu. The effects on food waste, consumption and pupils’ satisfaction with the meals were evaluated.

Methods
A pre-post design was employed to assess the effects of implementing an optimized lunch menu on daily food waste, consumption, and pupils’ school meal satisfaction in three schools (grades 0–9) from one Swedish municipality. A food list containing amounts, prices, nutrient content, and GHGE-values of all foods used for a previously served (baseline) four-week lunch menu was created. Using linear programming, this food list was optimized for minimum deviation and constrained to ensure nutritional adequacy and a reduced climate impact. The optimized food list was developed into a new (intervention) four-week lunch menu by a professional meal planner, following the baseline menu as closely as possible. The baseline and intervention menus were served for four weeks, respectively, with a two week break in between. Prepared, wasted and leftover food were weighed daily by the school kitchen staff during both periods. Interrupted time series analysis assessed mean and slope differences in daily food waste and consumption between the two periods. School lunch satisfaction was assessed with an online questionnaire at baseline and during the intervention.

Results
Optimization resulted in a food list that was 40% lower in GHGE, met all nutrient recommendations for school meals, and cost 11% less compared to baseline. The intervention menu was served as planned, with only minor changes required (for practical reasons). Plate waste, serving waste, consumption and school lunch satisfaction did not differ significantly from baseline, in any of the schools.

Conclusions
The findings demonstrate that school meals can successfully be improved regarding health and environmental sustainability using linear optimization, without negative effects on food waste, consumption or cost. This approach offers the necessary flexibility to tailor menus towards different priorities and could therefore be transferred to other types of meal services.

Trial registration
The trial is registered at clinicaltrials.gov (NCT04168632 Fostering Healthy and Sustainable Diets Through School Meals (OPTIMAT).
A fast, simple, and cost-effective method of expanding patient-derived xenograft mouse models of pancreatic ductal adenocarcinoma
Authors: Liu Zhenyang , Ahn Michael Ho-Young , Kurokawa Tomohiro , Ly Amy , Zhang Gong , Wang Fuyou , Yamada Teppei , Sadagopan Ananthan , Cheng Jane , Ferrone Cristina R. , Liss Andrew S. , Honselmann Kim C. , Wojtkiewicz Gregory R. , Ferrone Soldano , Wang Xinhui 
Published: June 2020

AbstractBackgroundPatient-derived xenograft (PDX) mouse models of cancer have been recognized as better mouse models that recapitulate the characteristics of original malignancies including preserved tumor heterogeneity, lineage hierarchy, and tumor microenvironment. However, common challenges of PDX models are the significant time required for tumor expansion, reduced tumor take rates, and higher costs. Here, we describe a fast, simple, and cost-effective method of expanding PDX of pancreatic ductal adenocarcinoma (PDAC) in mice.MethodsWe used two established frozen PDAC PDX tissues (derived from two different patients) and implanted them subcutaneously into SCID mice. After tissues reached 10–20 mm in diameter, we performed survival surgery on each mouse to harvest 90–95% of subcutaneous PDX (incomplete resection), allowing the remaining 5–10% of PDX to continue growing in the same mouse.ResultsWe expanded three consecutive passages (P1, P2, and P3) of PDX in the same mouse. Comparing the times required for in vivo expansion, P2 and P3 (expanded through incomplete resection) grew 26-60% faster than P1. Moreover, such expanded PDX tissues were successfully implanted orthotopically into mouse pancreases. Within 20 weeks using only 14 mice, we generated sufficient PDX tissue for future implantation of 200 mice. Our histology study confirmed that the morphologies of cancer cells and stromal structures were similar across all three passages of subcutaneous PDX and the orthotopic PDX and were reflective of the original patient tumors.ConclusionsTaking advantage of incomplete resection of tumors associated with high local recurrence, we established a fast method of PDAC PDX expansion in mice.
Evaluating blood–brain barrier permeability in a rat model of type 2 diabetes
Authors: Qiao Ju , Lawson Christopher M. , Rentrup Kilian F. G. , Kulkarni Praveen , Ferris Craig F. 
Published: June 2020

Abstract
Background
This is an exploratory study using a novel imaging modality, quantitative ultrashort time-to-echo, contrast enhanced (QUTE-CE) magnetic resonance imaging to evaluate the permeability of the blood–brain barrier in a rat model of type 2 diabetes with the presumption that small vessel disease is a contributing factor to neuropathology in diabetes.

Methods
The BBZDR/Wor rat, a model of type 2 diabetes, and age-matched controls were studied for changes in blood–brain barrier permeability. QUTE-CE, a quantitative vascular biomarker, generated angiographic images with over 500,000 voxels that were registered to a 3D MRI rat brain atlas providing site-specific information on blood–brain barrier permeability in 173 different brain areas.

Results
In this model of diabetes, without the support of insulin treatment, there was global capillary pathology with over 84% of the brain showing a significant increase in blood–brain barrier permeability over wild-type controls. Areas of the cerebellum and midbrain dopaminergic system were not significantly affected.

Conclusion
Small vessel disease as assessed by permeability in the blood–brain barrier in type 2 diabetes is pervasive and includes much of the brain. The increase in blood–brain barrier permeability is a likely contributing factor to diabetic encephalopathy and dementia.
Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries
Authors: Alami Hassane , Rivard Lysanne , Lehoux Pascale , Hoffman Steven J. , Cadeddu Stéphanie Bernadette Mafalda , Savoldelli Mathilde , Samri Mamane Abdoulaye , Ag Ahmed Mohamed Ali , Fleet Richard , Fortin Jean-Paul 
Published: June 2020

AbstractThe World Health Organization and other institutions are considering Artificial Intelligence (AI) as a technology that can potentially address some health system gaps, especially the reduction of global health inequalities in low- and middle-income countries (LMICs). However, because most AI-based health applications are developed and implemented in high-income countries, their use in LMICs contexts is recent and there is a lack of robust local evaluations to guide decision-making in low-resource settings. After discussing the potential benefits as well as the risks and challenges raised by AI-based health care, we propose five building blocks to guide the development and implementation of more responsible, sustainable, and inclusive AI health care technologies in LMICs.
Three years of growth hormone treatment in young adults with Prader-Willi syndrome: sustained positive effects on body composition
Authors: Damen Layla , Donze Stephany H. , Kuppens Renske J. , Bakker Nienke E. , de Graaff Laura C. G. , van der Velden Janielle A. E. M. , Hokken-Koelega Anita C. S. 
Published: June 2020

AbstractBackgroundIn children with Prader-Willi syndrome (PWS), the benefits of growth hormone treatment are well established. Several one-year studies have shown that growth hormone is also beneficial for adults with PWS, improving body composition. However, little is known about the longer-term effects.This study investigated the effects on body composition in adult patients with PWS during 3 years of growth hormone therapy in a dose of 0.33 mg/m2/day.MethodsOpen-label, prospective study in 43 young adults with PWS with a median (IQR) age of 19.0 (17.5 to 20.7) years. Fat mass percentage SDS and lean body mass SDS were measured annually by DXA.ResultsEstimated mean (95% CI) fat mass percentage SDS decreased during the three-year study from 2.1 (1.9 to 2.3) SDS at start to 1.9 (1.8 to 2.1) SDS,p = 0.012, while lean body mass SDS remained stable at − 2.1 (− 2.4 to − 1.8) SDS at start to − 1.9 (− 2.3 to − 1.6) after 3 years,p = 0.15. Fasting glucose and insulin remained similar during the three-year study, glucose being 4.6 (4.4 to 4.8) mmol/l at start and 4.6 (4.5 to 4.7) mmol/l after 3 years of growth hormone,p = 0.93 and insulin being 59.5 (42.2 to 81.5) pmol/l and 55.0 (42.4 to 69.2) pmol/l, resp.,p = 0.54. There were no growth hormone-related adverse events during the study.ConclusionsThree years of growth hormone treatment in young adults with PWS maintains the positive effects on body composition attained during childhood. Thus, adults with PWS benefit from longer-term growth hormone treatment.Trial registrationEudraCT, EudraCT number2011-001313-14. Registered 17 October 2012.
Shenhuang granule in the treatment of severe coronavirus disease 2019 (COVID-19): study protocol for an open-label randomized controlled clinical trial
Authors: Fang Bangjiang , Zhang Wen , Wu Xinxin , Huang Tingrong , Li Huacheng , Zheng You , Che Jinhua , Sun Shuting , Jiang Chao , Zhou Shuang , Feng Jun 
Published: June 2020

Abstract
Background
Currently, coronavirus disease 2019 (COVID-19) is continuously and rapidly circulating, causing heavy damage on public health. No effective antiviral treatment has been proved thus far. Traditional Chinese medicine (TCM) has been widely applied in the treatment of a variety of infection diseases in China, hoping to produce clinical effects and reduce the use of antibiotics and glucocorticoid. The aim of this study is to evaluate the efficacy and safety of Shenhuang granule in treatment of severe COVID-19.

Methods/design
This multicenter, open-label randomized controlled trial is conducted in 160 participants with severe COVID-19. The participants will be randomly (1:1) divided into treatment group or control group. All participants are given standard therapy at the same time. The experiment will receive Shenhuang granule treatment twice a day for 14 days. The clinical indicators of patients will be assessed at baseline and at 3, 5, 7, and 14 days after treatment initiation. The primary outcome is 14-day clinical outcome. Adverse events will be monitored throughout the trial.

Discussion
This will be the first randomized controlled trial, which evaluate the effect of Shenhuang granule in patients with severe COVID-19 in China. The results of this trial may not only provide evidence-based recommendations to clinicians to treat severe COVID-19, but also enrich the theory and practice of TCM in treating infectious diseases.

Trial registration
Chinese Clinical Trial Registry, ChiCTR2000029777. Registered on 13 February 2020.
Development of optimal steam explosion pretreatment and highly effective cell factory for bioconversion of grain vinegar residue to butanol
Authors: Xia Menglei , Peng Mingmeng , Xue Danni , Cheng Yang , Li Caixia , Wang Di , Lu Kai , Zheng Yu , Xia Ting , song Jia , Wang Min 
Published: June 2020

AbstractBackgroundThe industrial vinegar residue (VR) from solid-state fermentation, mainly cereals and their bran, will be a potential feedstock for future biofuels because of their low cost and easy availability. However, utilization of VR for butanol production has not been as much optimized as other sources of lignocellulose, which mainly stem from two key elements: (i) high biomass recalcitrance to enzymatic sugar release; (ii) lacking of suitable industrial biobutanol production strain. Though steam explosion has been proved effective for bio-refinery, few studies report SE for VR pretreatment. Much of the relevant knowledge remains unknown. Meanwhile, recent efforts on rational metabolic engineering approaches to increase butanol production inClostridiumstrain are quite limited. In this study, we assessed the impact of SE pretreatment, enzymatic hydrolysis kinetics, overall sugar recovery and applied atmospheric and room temperature plasma (ARTP) mutant method for theClostridiumstrain development to solve the long-standing problem.ResultsSE pretreatment was first performed. At the optimal condition, 29.47% of glucan, 71.62% of xylan and 22.21% of arabinan were depolymerized and obtained in the water extraction. In the sequential enzymatic hydrolysis process, enzymatic hydrolysis rate was increased by 13-fold compared to the VR without pretreatment and 19.60 g glucose, 15.21 g xylose and 5.63 g arabinose can be obtained after the two-step treatment from 100 g VR. Porous properties analysis indicated that steam explosion can effectively generate holes with diameter within 10–20 nm. Statistical analysis proved that enzymatic hydrolysis rate of VR followed the Pseudop-second-order kinetics equation and the relationship between SE severity and enzymatic hydrolysis rate can be well revealed by Boltzmann model. Finally, a superior inhibitor-tolerant strain,Clostridium acetobutylicumTust-001, was generated with ARTP treatment. The water extraction and enzymolysis liquid gathered were successfully fermented, resulting in butanol titer of 7.98 g/L and 12.59 g/L of ABE.ConclusionsSE proved to be quite effective for VR due to high fermentable sugar recovery and enzymatic hydrolysate fermentability. Inverse strategy employing ARTP and repetitive domestication for strain breeding is quite feasible, providing us with a new tool for solving the problem in the biofuel fields.
The increased sensitivity of qPCR in comparison to Kato-Katz is required for the accurate assessment of the prevalence of soil-transmitted helminth infection in settings that have received multiple rounds of mass drug administration
Authors: Dunn Julia C. , Papaiakovou Marina , Han Kay Thwe , Chooneea Darren , Bettis Alison A. , Wyine Nay Yee , Lwin Aye Moe Moe , Maung Nay Soe , Misra Raju , Littlewood D. T. J. , Anderson Roy M. 
Published: June 2020

Abstract
Background
The most commonly used diagnostic tool for soil-transmitted helminths (STH) is the Kato-Katz (KK) thick smear technique. However, numerous studies have suggested that the sensitivity of KK can be problematic, especially in low prevalence and low intensity settings. An emerging alternative is quantitative polymerase chain reaction (qPCR).

Methods
In this study, both KK and qPCR were conducted on stool samples from 648 participants in an STH epidemiology study conducted in the delta region of Myanmar in June 2016.

Results
Prevalence of any STH was 20.68% by KK and 45.06% by qPCR. Prevalence of each individual STH was also higher by qPCR than KK, the biggest difference was for hookworm with an approximately 4-fold increase between the two diagnostic techniques. Prevalence of Ancylostoma ceylanicum, a parasite predominately found in dogs, was 4.63%, indicating that there is the possibility of zoonotic transmission in the study setting. In individuals with moderate to high intensity infections there is evidence for a linear relationship between eggs per gram (EPG) of faeces, derived from KK, and DNA copy number, derived from qPCR which is particularly strong for Ascaris lumbricoides.

Conclusions
The use of qPCR in low prevalence settings is important to accurately assess the epidemiological situation and plan control strategies for the ‘end game’. However, more work is required to accurately assess STH intensity from qPCR results and to reduce the cost of qPCR so that is widely accessible in STH endemic countries.
Discovery of CD80 and CD86 as recent activation markers on regulatory T cells by protein-RNA single-cell analysis
Authors: Trzupek Dominik , Dunstan Melanie , Cutler Antony J. , Lee Mercede , Godfrey Leila , Jarvis Lorna , Rainbow Daniel B. , Aschenbrenner Dominik , Jones Joanne L. , Uhlig Holm H. , Wicker Linda S. , Todd John A. , Ferreira Ricardo C. 
Published: June 2020

AbstractBackgroundTraditionally, the transcriptomic and proteomic characterisation of CD4+T cells at the single-cell level has been performed by two largely exclusive types of technologies: single-cell RNA sequencing (scRNA-seq) and antibody-based cytometry. Here, we present a multi-omics approach allowing the simultaneous targeted quantification of mRNA and protein expression in single cells and investigate its performance to dissect the heterogeneity of human immune cell populations.MethodsWe have quantified the single-cell expression of 397 genes at the mRNA level and up to 68 proteins using oligo-conjugated antibodies (AbSeq) in 43,656 primary CD4+T cells isolated from the blood and 31,907 CD45+cells isolated from the blood and matched duodenal biopsies. We explored the sensitivity of this targeted scRNA-seq approach to dissect the heterogeneity of human immune cell populations and identify trajectories of functional T cell differentiation.ResultsWe provide a high-resolution map of human primary CD4+T cells and identify precise trajectories of Th1, Th17 and regulatory T cell (Treg) differentiation in the blood and tissue. The sensitivity provided by this multi-omics approach identified the expression of the B7 molecules CD80 and CD86 on the surface of CD4+Tregs, and we further demonstrated that B7 expression has the potential to identify recently activated T cells in circulation. Moreover, we identified a rare subset of CCR9+T cells in the blood with tissue-homing properties and expression of several immune checkpoint molecules, suggestive of a regulatory function.ConclusionsThe transcriptomic and proteomic hybrid technology described in this study provides a cost-effective solution to dissect the heterogeneity of immune cell populations at extremely high resolution. Unexpectedly, CD80 and CD86, normally expressed on antigen-presenting cells, were detected on a subset of activated Tregs, indicating a role for these co-stimulatory molecules in regulating the dynamics of CD4+T cell responses.
Post-developmental extracellular proteoglycan maintenance in attractin-deficient mice
Authors: Azouz Abdallah , Duke-Cohan Jonathan S. 
Published: June 2020

Abstract
Objective
Neurodegeneration and hair pigmentation alterations in mice occur consequent to aberrations at the Atrn locus coding for the transmembrane form of attractin. Earlier results pointed to a possible involvement in intracellular trafficking/export of secretory vesicles containing proteoglycan. Here we examined kidney and liver, both heavily dependent upon proteoglycan, of attractin-deficient mice to determine whether abnormalities were observed in these tissues.

Results
Histological and histochemical analysis to detect glycosylated protein identified a severe loss in attractin-deficient mice of extracellular proteoglycan between kidney tubules in addition to a loss of glycosylated material within the intratubular brush border. In the liver, extracellular matrix material was significantly depleted between hepatocytes together with swollen sinuses and aberrations in the proteoglycan-dependent space of Disse. These results are consistent with a generalized defect in extracellular proteoglycan deposition in Atrn-mutant mice and support previous reports suggesting a role for attractin in the secretory vesicle pathway.
Modelling and simulation of flame cutting for steel plates with solid phases and melting
Authors: Arenas Manuel J. , Hömberg Dietmar , Lasarzik Robert , Mikkonen Pertti , Petzold Thomas 
Published: June 2020

AbstractThe goal of this work is to describe in detail a quasi-stationary state model which can be used to deeply understand the distribution of the heat in a steel plate and the changes in the solid phases of the steel and into liquid phase during the flame cutting process. We use a 3D-model similar to previous works from Thiébaud (J. Mater. Process. Technol. 214(2):304–310, 2014) and expand it to consider phases changes, in particular, austenite formation and melting of material. Experimental data is used to validate the model and study its capabilities. Parameters defining the shape of the volumetric heat source and the power density are calibrated to achieve good agreement with temperature measurements. Similarities and differences with other models from literature are discussed.